Comparative evaluations of population dynamics in species with temporal and spatial variation in life‐history traits are rare because they require long‐term demographic time series from multiple populations. We present such an analysis using demographic data collected during the interval 1978–1996 for six populations of western terrestrial garter snakes (Thamnophis elegans) from two evolutionarily divergent ecotypes. Three replicate populations from a slow‐living ecotype, found in mountain meadows of northeastern California, were characterized by individuals that develop slowly, mature late, reproduce infrequently with small reproductive effort, and live longer than individuals of three populations of a fast‐living ecotype found at lakeshore locales. We constructed matrix population models for each of the populations based on 8–13 years of data per population and analyzed both deterministic dynamics based on mean annual vital rates and stochastic dynamics incorporating annual variation in vital rates. (1) Contributions of highly variable vital rates to fitness (λs) were buffered against the negative effects of stochastic variation, and this relationship was consistent with differences between the meadow (M‐slow) and lakeshore (L‐fast) ecotypes. (2) Annual variation in the proportion of gravid females had the greatest negative effect among all vital rates on λs. The magnitude of variation in the proportion of gravid females and its effect on λs was greater in M‐slow than L‐fast populations. (3) Variation in the proportion of gravid females, in turn, depended on annual variation in prey availability, and its effect on λs was 4–23 times greater in M‐slow than L‐fast populations. In addition to differences in stochastic dynamics between ecotypes, we also found higher mean mortality rates across all age classes in the L‐fast populations. Our results suggest that both deterministic and stochastic selective forces have affected the evolution of divergent life‐history traits in the two ecotypes, which, in turn, affect population dynamics. M‐slow populations have evolved life‐history traits that buffer fitness against direct effects of variation in reproduction and that spread lifetime reproduction across a greater number of reproductive bouts. These results highlight the importance of long‐term demographic and environmental monitoring and of incorporating temporal dynamics into empirical studies of life‐history evolution.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-1438.1","issn":"00129658","usgsCitation":"Miller, D.A., Clark, W., Arnold, S., and Bronikowski, A., 2011, Stochastic population dynamics in populations of western terrestrial garter snakes with divergent life histories: Ecology, v. 92, no. 8, p. 1658-1671, https://doi.org/10.1890/10-1438.1.","productDescription":"14 p.","startPage":"1658","endPage":"1671","costCenters":[],"links":[{"id":475108,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/eeob_ag_pubs/187","text":"External Repository"},{"id":244078,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216220,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1438.1"}],"country":"United States","state":"California","county":"Lassen","otherGeospatial":"Eagle 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David A.","contributorId":29193,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":452087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, W.R.","contributorId":70716,"corporation":false,"usgs":true,"family":"Clark","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":452089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, S.J.","contributorId":80112,"corporation":false,"usgs":true,"family":"Arnold","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":452090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bronikowski, A.M.","contributorId":56880,"corporation":false,"usgs":true,"family":"Bronikowski","given":"A.M.","affiliations":[],"preferred":false,"id":452088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036262,"text":"70036262 - 2011 - Evaluating the effects of future climate change and elevated CO2 on the water use efficiency in terrestrial ecosystems of China","interactions":[],"lastModifiedDate":"2017-04-06T14:12:35","indexId":"70036262","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effects of future climate change and elevated CO2 on the water use efficiency in terrestrial ecosystems of China","docAbstract":"Water use efficiency (WUE) is an important variable used in climate change and hydrological studies in relation to how it links ecosystem carbon cycles and hydrological cycles together. However, obtaining reliable WUE results based on site-level flux data remains a great challenge when scaling up to larger regional zones. Biophysical, process-based ecosystem models are powerful tools to study WUE at large spatial and temporal scales. The Integrated BIosphere Simulator (IBIS) was used to evaluate the effects of climate change and elevated CO2 concentrations on ecosystem-level WUE (defined as the ratio of gross primary production (GPP) to evapotranspiration (ET)) in relation to terrestrial ecosystems in China for 2009–2099. Climate scenario data (IPCC SRES A2 and SRES B1) generated from the Third Generation Coupled Global Climate Model (CGCM3) was used in the simulations. Seven simulations were implemented according to the assemblage of different elevated CO2 concentrations scenarios and different climate change scenarios. Analysis suggests that (1) further elevated CO2concentrations will significantly enhance the WUE over China by the end of the twenty-first century, especially in forest areas; (2) effects of climate change on WUE will vary for different geographical regions in China with negative effects occurring primarily in southern regions and positive effects occurring primarily in high latitude and altitude regions (Tibetan Plateau); (3) WUE will maintain the current levels for 2009–2099 under the constant climate scenario (i.e. using mean climate condition of 1951–2006 and CO2concentrations of the 2008 level); and (4) WUE will decrease with the increase of water resource restriction (expressed as evaporation ratio) among different ecosystems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2010.09.035","issn":"03043800","usgsCitation":"Zhu, Q., Jiang, H., Peng, C., Liu, J., Wei, X., Fang, X., Liu, S., Zhou, G., and Yu, S., 2011, Evaluating the effects of future climate change and elevated CO2 on the water use efficiency in terrestrial ecosystems of China: Ecological Modelling, v. 222, no. 14, p. 2414-2429, https://doi.org/10.1016/j.ecolmodel.2010.09.035.","productDescription":"16 p.","startPage":"2414","endPage":"2429","numberOfPages":"16","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":246437,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218430,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2010.09.035"}],"volume":"222","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0bf7e4b0c8380cd52989","contributors":{"authors":[{"text":"Zhu, Q.","contributorId":93711,"corporation":false,"usgs":true,"family":"Zhu","given":"Q.","email":"","affiliations":[],"preferred":false,"id":455163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, H.","contributorId":83731,"corporation":false,"usgs":true,"family":"Jiang","given":"H.","affiliations":[],"preferred":false,"id":455161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peng, C.","contributorId":79314,"corporation":false,"usgs":true,"family":"Peng","given":"C.","email":"","affiliations":[],"preferred":false,"id":455160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":455156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":455159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fang, X.","contributorId":32288,"corporation":false,"usgs":true,"family":"Fang","given":"X.","email":"","affiliations":[],"preferred":false,"id":455158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":455162,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, G.","contributorId":12604,"corporation":false,"usgs":true,"family":"Zhou","given":"G.","email":"","affiliations":[],"preferred":false,"id":455155,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yu, S.","contributorId":25771,"corporation":false,"usgs":true,"family":"Yu","given":"S.","email":"","affiliations":[],"preferred":false,"id":455157,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70035063,"text":"70035063 - 2011 - Electronic tagging of green sturgeon reveals population structure and movement among estuaries","interactions":[],"lastModifiedDate":"2020-09-11T15:40:07.369657","indexId":"70035063","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Electronic tagging of green sturgeon reveals population structure and movement among estuaries","docAbstract":"Green sturgeon Acipenser medirostris spend much of their lives outside of their natal rivers, but the details of their migrations and habitat use are poorly known, which limits our understanding of how this species might be affected by human activities and habitat degradation. We tagged 355 green sturgeon with acoustic transmitters on their spawning grounds and in known nonspawning aggregation sites and examined their movement among these sites and other potentially important locations using automated data‐logging hydrophones. We found that green sturgeon inhabit a number of estuarine and coastal sites over the summer, including the Columbia River estuary, Willapa Bay, Grays Harbor, and the estuaries of certain smaller rivers in Oregon, especially the Umpqua River estuary. Green sturgeon from different natal rivers exhibited different patterns of habitat use; most notably, San Francisco Bay was used only by Sacramento River fish, while the Umpqua River estuary was used mostly by fish from the Klamath and Rogue rivers. Earlier work, based on analysis of microsatellite markers, suggested that the Columbia River mixed stock was mainly composed of fish from the Sacramento River, but our results indicate that fish from the Rogue and Klamath River populations frequently use the Columbia River as well. We also found evidence for the existence of migratory contingents within spawning populations. Our findings have significant implications for the management of the threatened Sacramento River population of green sturgeon, which migrates to inland waters outside of California where anthropogenic impacts, including fisheries bycatch and water pollution, may be a concern. Our results also illustrate the utility of acoustic tracking to elucidate the migratory behavior of animals that are otherwise difficult to observe.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2011.557017","usgsCitation":"Lindley, S., Erickson, D., Moser, M., Williams, G., Langness, O., McCovey, B., Belchik, M., Vogel, D., Pinnix, W., Kelly, J., Heublein, J., and Klimley, A., 2011, Electronic tagging of green sturgeon reveals population structure and movement among estuaries: Transactions of the American Fisheries Society, v. 140, no. 1, p. 108-122, https://doi.org/10.1080/00028487.2011.557017.","productDescription":"15 p.","startPage":"108","endPage":"122","numberOfPages":"15","costCenters":[],"links":[{"id":242888,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378342,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://afspubs.onlinelibrary.wiley.com/doi/10.1080/00028487.2011.557017"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.43115234375,\n 46.09609080214316\n ],\n [\n -123.167724609375,\n 46.09609080214316\n ],\n [\n -123.167724609375,\n 47.29413372501023\n ],\n [\n -124.43115234375,\n 47.29413372501023\n ],\n [\n -124.43115234375,\n 46.09609080214316\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.6014404296875,\n 42.33418438593939\n ],\n [\n -123.17321777343749,\n 42.33418438593939\n ],\n [\n -123.17321777343749,\n 44.66474608911831\n ],\n [\n -124.6014404296875,\n 44.66474608911831\n ],\n [\n -124.6014404296875,\n 42.33418438593939\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.8046875,\n 39.99395569397331\n ],\n [\n -122.10205078125,\n 39.99395569397331\n ],\n [\n -122.10205078125,\n 41.85319643776675\n ],\n [\n -124.8046875,\n 41.85319643776675\n ],\n [\n -124.8046875,\n 39.99395569397331\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.06884765625,\n 37.17782559332976\n ],\n [\n -120.21240234375001,\n 37.17782559332976\n ],\n [\n -120.21240234375001,\n 40.245991504199026\n ],\n [\n -123.06884765625,\n 40.245991504199026\n ],\n [\n -123.06884765625,\n 37.17782559332976\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"140","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-02-25","publicationStatus":"PW","scienceBaseUri":"505a08ace4b0c8380cd51c0b","contributors":{"authors":[{"text":"Lindley, S.T.","contributorId":58458,"corporation":false,"usgs":true,"family":"Lindley","given":"S.T.","email":"","affiliations":[],"preferred":false,"id":449109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, D.L.","contributorId":82496,"corporation":false,"usgs":true,"family":"Erickson","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":449113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moser, M.L.","contributorId":92006,"corporation":false,"usgs":true,"family":"Moser","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":449114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, G.","contributorId":73428,"corporation":false,"usgs":true,"family":"Williams","given":"G.","affiliations":[],"preferred":false,"id":449112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Langness, O.P.","contributorId":24585,"corporation":false,"usgs":true,"family":"Langness","given":"O.P.","affiliations":[],"preferred":false,"id":449105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCovey, B.W. Jr.","contributorId":66931,"corporation":false,"usgs":true,"family":"McCovey","given":"B.W.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":449111,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belchik, M.","contributorId":20998,"corporation":false,"usgs":true,"family":"Belchik","given":"M.","email":"","affiliations":[],"preferred":false,"id":449104,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vogel, D.","contributorId":57677,"corporation":false,"usgs":true,"family":"Vogel","given":"D.","email":"","affiliations":[],"preferred":false,"id":449108,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pinnix, W.","contributorId":9482,"corporation":false,"usgs":true,"family":"Pinnix","given":"W.","affiliations":[],"preferred":false,"id":449103,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kelly, J.T.","contributorId":60034,"corporation":false,"usgs":true,"family":"Kelly","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":449110,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Heublein, J.C.","contributorId":38797,"corporation":false,"usgs":true,"family":"Heublein","given":"J.C.","affiliations":[],"preferred":false,"id":449107,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Klimley, A.P.","contributorId":26897,"corporation":false,"usgs":true,"family":"Klimley","given":"A.P.","email":"","affiliations":[],"preferred":false,"id":449106,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70034755,"text":"70034755 - 2011 - Application of the CO2-PENS risk analysis tool to the Rock Springs Uplift, Wyoming","interactions":[],"lastModifiedDate":"2021-04-15T11:43:06.932596","indexId":"70034755","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5215,"text":"Energy Procedia","onlineIssn":"1876-6102","active":true,"publicationSubtype":{"id":10}},"title":"Application of the CO2-PENS risk analysis tool to the Rock Springs Uplift, Wyoming","docAbstract":"We describe preliminary application of the CO2-PENS performance and risk analysis tool to a planned geologic CO2 sequestration demonstration project in the Rock Springs Uplift (RSU), located in south western Wyoming. We use data from the RSU to populate CO2-PENS, an evolving system-level modeling tool developed at Los Alamos National Laboratory. This tool has been designed to generate performance and risk assessment calculations for the geologic sequestration of carbon dioxide. Our approach follows Systems Analysis logic and includes estimates of uncertainty in model parameters and Monte-Carlo simulations that lead to probabilistic results. Probabilistic results provide decision makers with a range in the likelihood of different outcomes. Herein we present results from a newly implemented approach in CO2-PENS that captures site-specific spatially coherent details such as topography on the reservoir/cap-rock interface, changes in saturation and pressure during injection, and dip on overlying aquifers that may be impacted by leakage upward through wellbores and faults. We present simulations of CO2 injection under different uncertainty distributions for hypothetical leaking wells and faults. Although results are preliminary and to be used only for demonstration of the approach, future results of the risk analysis will form the basis for a discussion on methods to reduce uncertainty in the risk calculations. Additionally, we present ideas on using the model to help locate monitoring equipment to detect potential leaks. By maintaining site-specific details in the CO2-PENS analysis we provide a tool that allows more logical presentations to stakeholders in the region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2011.02.351","issn":"18766102","usgsCitation":"Stauffer, P., Pawar, R., Surdam, R., Jiao, Z., Deng, H., Lettelier, B., Viswanathan, H., Sanzo, D., and Keating, G.N., 2011, Application of the CO2-PENS risk analysis tool to the Rock Springs Uplift, Wyoming: Energy Procedia, v. 4, p. 4084-4091, https://doi.org/10.1016/j.egypro.2011.02.351.","productDescription":"8 p.","startPage":"4084","endPage":"4091","costCenters":[],"links":[{"id":475376,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.351","text":"Publisher Index Page"},{"id":243420,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ecb3e4b0c8380cd4942e","contributors":{"authors":[{"text":"Stauffer, P.H.","contributorId":53783,"corporation":false,"usgs":true,"family":"Stauffer","given":"P.H.","email":"","affiliations":[],"preferred":false,"id":447434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawar, R.J.","contributorId":94518,"corporation":false,"usgs":true,"family":"Pawar","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":447437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Surdam, R.C.","contributorId":40029,"corporation":false,"usgs":true,"family":"Surdam","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":447432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jiao, Z.","contributorId":25373,"corporation":false,"usgs":true,"family":"Jiao","given":"Z.","email":"","affiliations":[],"preferred":false,"id":447430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deng, H.","contributorId":22984,"corporation":false,"usgs":true,"family":"Deng","given":"H.","email":"","affiliations":[],"preferred":false,"id":447429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lettelier, B.C.","contributorId":52418,"corporation":false,"usgs":true,"family":"Lettelier","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":447433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Viswanathan, H.S.","contributorId":75773,"corporation":false,"usgs":true,"family":"Viswanathan","given":"H.S.","email":"","affiliations":[],"preferred":false,"id":447435,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sanzo, D.L.","contributorId":80106,"corporation":false,"usgs":true,"family":"Sanzo","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":447436,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Keating, G. N.","contributorId":38236,"corporation":false,"usgs":true,"family":"Keating","given":"G.","middleInitial":"N.","affiliations":[],"preferred":false,"id":447431,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70034812,"text":"70034812 - 2011 - Coherence of river and ocean conditions along the US West Coast during storms","interactions":[],"lastModifiedDate":"2021-03-15T18:27:35.003239","indexId":"70034812","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Coherence of river and ocean conditions along the US West Coast during storms","docAbstract":"The majority of water and sediment discharge from the small, mountainous watersheds of the US West Coast occurs during and immediately following winter storms. The physical conditions (waves, currents, and winds) within and acting upon the proximal coastal ocean during these winter storms strongly influence dispersal patterns. We examined this river–ocean temporal coherence for four coastal river–shelf systems of the US West Coast (Umpqua, Eel, Salinas, and Santa Clara) to evaluate whether specific ocean conditions occur during floods that may influence coastal dispersal of sediment. Eleven years of corresponding river discharge, wind, and wave data were obtained for each river–shelf system from USGS and NOAA historical records, and each record was evaluated for seasonal and event-based patterns. Because near-bed shear stresses due to waves influence sediment resuspension and transport, we used spectral wave data to compute and evaluate wave-generated bottom-orbital velocities. The highest values of wave energy and discharge for all four systems were consistently observed between October 15 and March 15, and there were strong latitudinal patterns observed in these data with lower discharge and wave energies in the southernmost systems. During floods we observed patterns of river–ocean coherence that differed from the overall seasonal patterns. For example, downwelling winds generally prevailed during floods in the northern two systems (Umpqua and Eel), whereas winds in the southern systems (Salinas and Santa Clara) were generally downwelling before peak discharge and upwelling after peak discharge. Winds not associated with floods were generally upwelling on all four river–shelf systems. Although there are seasonal variations in river–ocean coherence, waves generally led floods in the three northern systems, while they lagged floods in the Santa Clara. Combined, these observations suggest that there are consistent river–ocean coherence patterns along the US West Coast during winter storms and that these patterns vary substantially with latitude. These results should assist with future evaluations of flood plume formation and sediment fate along this coast.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2011.01.012","issn":"02784343","usgsCitation":"Kniskern, T.A., Warrick, J.A., Farnsworth, K., Wheatcroft, R.A., and Goni, M., 2011, Coherence of river and ocean conditions along the US West Coast during storms: Continental Shelf Research, v. 31, no. 7-8, p. 789-805, https://doi.org/10.1016/j.csr.2011.01.012.","productDescription":"17 p.","startPage":"789","endPage":"805","costCenters":[],"links":[{"id":243799,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215962,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.csr.2011.01.012"}],"country":"United States","state":"California, Oregon","otherGeospatial":"The Umpqua, Eel, Salinas, and Santa Clara","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.970703125,\n 41.77131167976407\n ],\n [\n -116.3671875,\n 42.032974332441405\n ],\n [\n -116.806640625,\n 46.01222384063236\n ],\n [\n -123.92578125,\n 46.01222384063236\n ],\n [\n -124.892578125,\n 41.77131167976407\n ],\n [\n -124.27734374999999,\n 39.70718665682654\n ],\n [\n -121.728515625,\n 36.24427318493909\n ],\n [\n -120.41015624999999,\n 33.94335994657882\n ],\n [\n -117.861328125,\n 33.50475906922609\n ],\n [\n -117.333984375,\n 32.47269502206151\n ],\n [\n -114.2578125,\n 32.76880048488168\n ],\n [\n -114.2578125,\n 34.813803317113155\n ],\n [\n -120.05859375,\n 39.095962936305476\n ],\n [\n -119.970703125,\n 41.77131167976407\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"7-8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f7a3e4b0c8380cd4cc11","contributors":{"authors":[{"text":"Kniskern, T. A.","contributorId":42807,"corporation":false,"usgs":false,"family":"Kniskern","given":"T.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":447762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":447763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farnsworth, K.L.","contributorId":36746,"corporation":false,"usgs":true,"family":"Farnsworth","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":447761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wheatcroft, R. A.","contributorId":76503,"corporation":false,"usgs":false,"family":"Wheatcroft","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":447764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goni, M.A.","contributorId":32347,"corporation":false,"usgs":true,"family":"Goni","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":447760,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034587,"text":"70034587 - 2011 - Modeling regional coral reef responses to global warming and changes in ocean chemistry: Caribbean case study","interactions":[],"lastModifiedDate":"2021-04-16T16:58:15.134754","indexId":"70034587","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Modeling regional coral reef responses to global warming and changes in ocean chemistry: Caribbean case study","docAbstract":"Climatic change threatens the future of coral reefs in the Caribbean and the important ecosystem services they provide. We used a simulation model [COMBO (“COral Mortality and Bleaching Output”)] to estimate future coral cover in the part of the eastern Caribbean impacted by a massive coral bleaching event in 2005. COMBO calculates impacts of future climate change on coral reefs by combining impacts from long-term changes in average sea surface temperature (SST) and ocean acidification with impacts from episodic high temperature mortality (bleaching) events. We used mortality and heat dose data from the 2005 bleaching event to select historic temperature datasets, to use as a baseline for running COMBO under different future climate scenarios and sets of assumptions. Results suggest a bleak future for coral reefs in the eastern Caribbean. For three different emissions scenarios from the Intergovernmental Panel on Climate Change (IPCC; B1, A1B, and A1FI), coral cover on most Caribbean reefs is projected to drop below 5% by the year 2035, if future mortality rates are equivalent to some of those observed in the 2005 event (50%). For a scenario where corals gain an additional 1–1.5°C of heat tolerance through a shift in the algae that live in the coral tissue, coral cover above 5% is prolonged until 2065. Additional impacts such as storms or anthropogenic damage could result in declines in coral cover even faster than those projected here. These results suggest the need to identify and preserve the locations that are likely to have a higher resiliency to bleaching to save as many remnant populations of corals as possible in the face of projected wide-spread coral loss.
","language":"English","publisher":"Springer Link","doi":"10.1007/s10584-011-0022-z","issn":"01650009","usgsCitation":"Buddemeier, R., Lane, D., and Martinich, J., 2011, Modeling regional coral reef responses to global warming and changes in ocean chemistry: Caribbean case study: Climatic Change, v. 109, no. 3-4, p. 375-397, https://doi.org/10.1007/s10584-011-0022-z.","productDescription":"23 p.","startPage":"375","endPage":"397","costCenters":[],"links":[{"id":475447,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-011-0022-z","text":"Publisher Index Page"},{"id":243815,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215976,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-011-0022-z"}],"volume":"109","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2011-02-11","publicationStatus":"PW","scienceBaseUri":"505a5c21e4b0c8380cd6fa65","contributors":{"authors":[{"text":"Buddemeier, R. W.","contributorId":86492,"corporation":false,"usgs":true,"family":"Buddemeier","given":"R. W.","affiliations":[],"preferred":false,"id":446523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, D.R.","contributorId":76559,"corporation":false,"usgs":true,"family":"Lane","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":446522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martinich, J.A.","contributorId":103099,"corporation":false,"usgs":true,"family":"Martinich","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":446524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173543,"text":"70173543 - 2011 - Characterization of winter foraging locations of Adélie penguins along the Western Antarctic Peninsula, 2001–2002","interactions":[],"lastModifiedDate":"2016-06-14T15:14:11","indexId":"70173543","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of winter foraging locations of Adélie penguins along the Western Antarctic Peninsula, 2001–2002","docAbstract":"In accord with the hypotheses driving the Southern Ocean Global Ocean Ecosystems Dynamics (SO GLOBEC) program, we tested the hypothesis that the winter foraging ecology of a major top predator in waters off the Western Antarctic Peninsula (WAP), the Adélie penguin (Pygoscelis adeliae), is constrained by oceanographic features related to the physiography of the region. This hypothesis grew from the supposition that breeding colonies in the WAP during summer are located adjacent to areas of complex bathymetry where circulation and upwelling processes appear to ensure predictable food resources. Therefore, we tested the additional hypothesis that these areas continue to contribute to the foraging strategy of this species throughout the non-breeding winter season. We used satellite telemetry data collected as part of the SO GLOBEC program during the austral winters of 2001 and 2002 to characterize individual penguin foraging locations in relation to bathymetry, sea ice variability within the pack ice, and wind velocity and divergence (as a proxy for potential areas with cracks and leads). We also explored differences between males and females in core foraging area overlap. Ocean depth was the most influential variable in the determination of foraging location, with most birds focusing their effort on shallow (<200 m) waters near land and on mixed-layer (200–500 m) waters near the edge of deep troughs. Within-ice variability and wind (as a proxy for potential areas with cracks and leads) were not found to be influential variables, which is likely because of the low resolution satellite imagery and model outputs that were available. Throughout the study period, all individuals maintained a core foraging area separated from other individuals with very little overlap. However, from a year with light sea ice to one with heavy ice cover (2001–2002), we observed an increase in the overlap of individual female foraging areas with those of other birds, likely due to restricted access to the water column, reduced prey abundance, or higher prey concentration. Male birds maintained separate core foraging areas with the same small amount of overlap, showing no difference in overlap between the years. While complex bathymetry was an important physical variable influencing the Adélie penguin's foraging, the analysis of sea ice data of a higher resolution than was available for this study may help elucidate the role of sea ice in affecting Adélie penguin winter foraging behavior within the pack ice.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2010.10.054","usgsCitation":"Erdmann, E.S., Ribic, C., Patterson-Fraser, D.L., and Fraser, W., 2011, Characterization of winter foraging locations of Adélie penguins along the Western Antarctic Peninsula, 2001–2002: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 58, no. 13-16, p. 1710-1718, https://doi.org/10.1016/j.dsr2.2010.10.054.","productDescription":"9 p.","startPage":"1710","endPage":"1718","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013811","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.73828125,\n -74.86788912917916\n ],\n [\n -81.73828125,\n -62.34960927573042\n ],\n [\n -55.72265625,\n -62.34960927573042\n ],\n [\n -55.72265625,\n -74.86788912917916\n ],\n [\n -81.73828125,\n -74.86788912917916\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"13-16","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57612aaee4b04f417c2ce48a","contributors":{"authors":[{"text":"Erdmann, Eric S.","contributorId":97743,"corporation":false,"usgs":true,"family":"Erdmann","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson-Fraser, Donna L.","contributorId":84726,"corporation":false,"usgs":true,"family":"Patterson-Fraser","given":"Donna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, William R.","contributorId":94277,"corporation":false,"usgs":true,"family":"Fraser","given":"William R.","affiliations":[],"preferred":false,"id":638765,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034650,"text":"70034650 - 2011 - Sex-related differences in habitat associations of wintering American Kestrels in California's Central Valley","interactions":[],"lastModifiedDate":"2021-04-14T16:45:27.655447","indexId":"70034650","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Sex-related differences in habitat associations of wintering American Kestrels in California's Central Valley","docAbstract":"We used roadside survey data collected from 19 routes over three consecutive winters from 2007–08 to 2009–10 to compare habitat associations of male and female American Kestrels (Falco sparverius) in the Central Valley of California to determine if segregation by sex was evident across this region. As a species, American Kestrels showed positive associations with alfalfa and other forage crops like hay and winter wheat, as well as grassland, irrigated pasture, and rice. Habitat associations of females were similar, with female densities in all these habitats except rice significantly higher than average. Male American Kestrels showed a positive association only with grassland and were present at densities well below those of females in alfalfa, other forage crops, and grassland. Males were present in higher densities than females in most habitats with negative associations for the species, such as orchards, urbanized areas, and oak savannah. The ratio of females to males for each route was positively correlated with the overall density of American Kestrels on that route. Our findings that females seem to occupy higher quality habitats in winter are consistent with observations from elsewhere in North America.
","language":"English","publisher":"BioOne","doi":"10.3356/JRR-10-66.1","issn":"08921016","usgsCitation":"Pandolfino, E., Herzog, M., and Smith, Z., 2011, Sex-related differences in habitat associations of wintering American Kestrels in California's Central Valley: Journal of Raptor Research, v. 45, no. 3, p. 236-243, https://doi.org/10.3356/JRR-10-66.1.","productDescription":"8 p.","startPage":"236","endPage":"243","costCenters":[],"links":[{"id":475446,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-10-66.1","text":"Publisher Index Page"},{"id":243789,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215952,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3356/JRR-10-66.1"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.234375,\n 35.782170703266075\n ],\n [\n -117.42187500000001,\n 33.65120829920497\n ],\n [\n -116.806640625,\n 33.063924198120645\n ],\n [\n -115.04882812499999,\n 34.23451236236987\n ],\n [\n -119.970703125,\n 37.996162679728116\n ],\n [\n -121.55273437499999,\n 40.27952566881291\n ],\n [\n -122.431640625,\n 40.91351257612758\n ],\n [\n -123.31054687499999,\n 40.51379915504413\n ],\n [\n -121.59667968749999,\n 37.020098201368114\n ],\n [\n -120.234375,\n 35.782170703266075\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8dafe4b08c986b3184d9","contributors":{"authors":[{"text":"Pandolfino, E.R.","contributorId":65299,"corporation":false,"usgs":true,"family":"Pandolfino","given":"E.R.","affiliations":[],"preferred":false,"id":446865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, M.P.","contributorId":37865,"corporation":false,"usgs":true,"family":"Herzog","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":446863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Z.","contributorId":53192,"corporation":false,"usgs":true,"family":"Smith","given":"Z.","email":"","affiliations":[],"preferred":false,"id":446864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034450,"text":"70034450 - 2011 - Spectral heterogeneity on Phobos and Deimos: HiRISE observations and comparisons to Mars Pathfinder results","interactions":[],"lastModifiedDate":"2018-11-20T10:46:33","indexId":"70034450","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3083,"text":"Planetary and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"Spectral heterogeneity on Phobos and Deimos: HiRISE observations and comparisons to Mars Pathfinder results","docAbstract":"The High-Resolution Imaging Science Experiment (HiRISE) onboard Mars Reconnaissance Orbiter (MRO) has been used to observe Phobos and Deimos at spatial scales of around 6 and 20 m/px, respectively. HiRISE (McEwen et al.; JGR, 112, CiteID E05S02, DOI: 10.1029/2005JE002605, 2007) has provided, for the first time, high-resolution colour images of the surfaces of the Martian moons. When processed, by the production of colour ratio images for example, the data show considerable small-scale heterogeneity, which might be attributable to fresh impacts exposing different materials otherwise largely hidden by a homogenous regolith. The bluer material that is draped over the south-eastern rim of the largest crater on Phobos, Stickney, has been perforated by an impact to reveal redder material and must therefore be relatively thin. A fresh impact with dark crater rays has been identified. Previously identified mass-wasting features in Stickney and Limtoc craters stand out strongly in colour. The interior deposits in Stickney appear more inhomogeneous than previously suspected. Several other local colour variations are also evident. Deimos is more uniform in colour but does show some small-scale inhomogeneity. The bright streamers (Thomas et al.; Icarus, 123, 536556,1996) are relatively blue. One crater to the south-west of Voltaire and its surroundings appear quite strongly reddened with respect to the rest of the surface. The reddening of the surroundings may be the result of ejecta from this impact. The spectral gradients at optical wavths observed for both Phobos and Deimos are quantitatively in good agreement with those found by unresolved photometric observations made by the Imager for Mars Pathfinder (IMP; Thomas et al.; JGR, 104, 90559068, 1999). The spectral gradients of the blue and red units on Phobos bracket the results from IMP.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Planetary and Space Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.pss.2010.04.018","issn":"00320633","usgsCitation":"Thomas, N., Stelter, R., Ivanov, A., Bridges, N., Herkenhoff, K.E., and McEwen, A.S., 2011, Spectral heterogeneity on Phobos and Deimos: HiRISE observations and comparisons to Mars Pathfinder results: Planetary and Space Science, v. 59, no. 13, p. 1281-1292, https://doi.org/10.1016/j.pss.2010.04.018.","productDescription":"12 p.","startPage":"1281","endPage":"1292","numberOfPages":"12","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487950,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://infoscience.epfl.ch/record/170813","text":"External Repository"},{"id":244757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"59","issue":"13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b953fe4b08c986b31ae19","contributors":{"authors":[{"text":"Thomas, N.","contributorId":72490,"corporation":false,"usgs":true,"family":"Thomas","given":"N.","email":"","affiliations":[],"preferred":false,"id":445858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stelter, R.","contributorId":48001,"corporation":false,"usgs":true,"family":"Stelter","given":"R.","email":"","affiliations":[],"preferred":false,"id":445856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivanov, A.","contributorId":8270,"corporation":false,"usgs":true,"family":"Ivanov","given":"A.","email":"","affiliations":[],"preferred":false,"id":445853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bridges, N.T.","contributorId":23673,"corporation":false,"usgs":true,"family":"Bridges","given":"N.T.","email":"","affiliations":[],"preferred":false,"id":445855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":445857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McEwen, A. S.","contributorId":11317,"corporation":false,"usgs":true,"family":"McEwen","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":445854,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034900,"text":"70034900 - 2011 - The key to commercial-scale geological CO2 sequestration: Displaced fluid management","interactions":[],"lastModifiedDate":"2021-03-09T13:07:34.019328","indexId":"70034900","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5215,"text":"Energy Procedia","onlineIssn":"1876-6102","active":true,"publicationSubtype":{"id":10}},"title":"The key to commercial-scale geological CO2 sequestration: Displaced fluid management","docAbstract":"The Wyoming State Geological Survey has completed a thorough inventory and prioritization of all Wyoming stratigraphic units and geologic sites capable of sequestering commercial quantities of CO2 (5–15 Mt CO2/year). This multi-year study identified the Paleozoic Tensleep/Weber Sandstone and Madison Limestone (and stratigraphic equivalent units) as the leading clastic and carbonate reservoir candidates for commercial-scale geological CO2 sequestration in Wyoming. This conclusion was based on unit thickness, overlying low permeability lithofacies, reservoir storage and continuity properties, regional distribution patterns, formation fluid chemistry characteristics, and preliminary fluid-flow modeling. This study also identified the Rock Springs Uplift in southwestern Wyoming as the most promising geological CO2 sequestration site in Wyoming and probably in any Rocky Mountain basin.
The results of the WSGS CO2 geological sequestration inventory led the agency and colleagues at the UW School of Energy Resources Carbon Management Institute (CMI) to collect available geologic, petrophysical, geochemical, and geophysical data on the Rock Springs Uplift, and to build a regional 3-D geologic framework model of the Uplift. From the results of these tasks and using the FutureGen protocol, the WSGS showed that on the Rock Springs Uplift, the Weber Sandstone has sufficient pore space to sequester 18 billion tons (Gt) of CO2, and the Madison Limestone has sufficient pore space to sequester 8 Gt of CO2.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2011.02.373","issn":"18766102","usgsCitation":"Surdam, R., Jiao, Z., Stauffer, P., and Miller, T., 2011, The key to commercial-scale geological CO2 sequestration: Displaced fluid management: Energy Procedia, v. 4, p. 4246-4251, https://doi.org/10.1016/j.egypro.2011.02.373.","productDescription":"6 p.","startPage":"4246","endPage":"4251","costCenters":[],"links":[{"id":475230,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.373","text":"Publisher Index Page"},{"id":243774,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad73e4b08c986b323c03","contributors":{"authors":[{"text":"Surdam, R.C.","contributorId":40029,"corporation":false,"usgs":true,"family":"Surdam","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":448234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiao, Z.","contributorId":25373,"corporation":false,"usgs":true,"family":"Jiao","given":"Z.","email":"","affiliations":[],"preferred":false,"id":448233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauffer, P.","contributorId":20505,"corporation":false,"usgs":true,"family":"Stauffer","given":"P.","email":"","affiliations":[],"preferred":false,"id":448232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, T.","contributorId":92749,"corporation":false,"usgs":true,"family":"Miller","given":"T.","affiliations":[],"preferred":false,"id":448235,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042392,"text":"70042392 - 2011 - Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond","interactions":[],"lastModifiedDate":"2020-01-13T06:34:57","indexId":"70042392","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond","docAbstract":"Movement of dissolved inorganic carbon (DIC) through the hydrologic cycle is an important component of global carbon budgets, but there is considerable uncertainty about the controls of DIC transmission from landscapes to streams, and through river networks to the oceans. In this study, diel measurements of DIC, d13C-DIC, dissolved oxygen (O2), d18O-O2, alkalinity, pH, and other parameters were used to assess the relative magnitudes of biological and geochemical controls on DIC cycling and flux in a nutrient-rich, net autotrophic stream. Rates of photosynthesis (P), respiration (R), groundwater discharge, air–water exchange of CO2, and carbonate precipitation/dissolution were quantified through a time-stepping chemical/isotope (12C and 13C, 16O and 18O) mass balance model. Groundwater was the major source of DIC to the stream. Primary production and carbonate precipitation were equally important sinks for DIC removed from the water column. The stream was always super-saturated with respect to carbonate minerals, but carbonate precipitation occurred mainly during the day when P increased pH. We estimated more than half (possibly 90%) of the carbonate precipitated during the day was retained in the reach under steady baseflow conditions. The amount of DIC removed from the overlying water through carbonate precipitation was similar to the amount of DIC generated from R. Air–water exchange of CO2 was always from the stream to the atmosphere, but was the smallest component of the DIC budget. Overall, the in-stream DIC reactions reduced the amount of CO2 evasion and the downstream flux of groundwater-derived DIC by about half relative to a hypothetical scenario with groundwater discharge only. Other streams with similar characteristics are widely distributed in the major river basins of North America. Data from USGS water quality monitoring networks from the 1960s to the 1990s indicated that 40% of 652 stream monitoring stations in the contiguous USA were at or above the equilibrium saturation state for calcite, and 77% of all stations exhibited apparent increases in saturation state from the 1960/70s to the 1980/90s. Diel processes including partially irreversible carbonate precipitation may affect net carbon fluxes from many such watersheds.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2010.12.012","usgsCitation":"Tobias, C., and Bohlke, J., 2011, Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond: Chemical Geology, v. 283, no. 1-2, p. 18-30, https://doi.org/10.1016/j.chemgeo.2010.12.012.","productDescription":"13 p.","startPage":"18","endPage":"30","ipdsId":"IP-022716","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":265319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -126.21093749999999,\n 49.49667452747045\n ],\n [\n -124.98046874999999,\n 46.07323062540835\n ],\n [\n -125.68359374999999,\n 42.032974332441405\n ],\n [\n -125.33203125,\n 39.232253141714885\n ],\n [\n -122.87109375,\n 36.1733569352216\n ],\n [\n -119.53125,\n 33.43144133557529\n ],\n [\n -116.3671875,\n 32.69486597787505\n ],\n [\n -111.4453125,\n 31.50362930577303\n ],\n [\n -106.875,\n 31.653381399664\n ],\n [\n -95.97656249999999,\n 25.005972656239187\n ],\n [\n -95.625,\n 27.68352808378776\n ],\n [\n -92.98828125,\n 29.38217507514529\n ],\n [\n -88.59374999999999,\n 28.613459424004414\n ],\n [\n -88.24218749999999,\n 29.84064389983441\n ],\n [\n -84.90234375,\n 28.613459424004414\n ],\n [\n -80.68359375,\n 24.046463999666567\n ],\n [\n -79.1015625,\n 25.48295117535531\n ],\n [\n -78.92578124999999,\n 30.751277776257812\n ],\n [\n -76.46484375,\n 34.59704151614417\n ],\n [\n -74.70703125,\n 37.020098201368114\n ],\n [\n -73.30078125,\n 38.8225909761771\n ],\n [\n -70.48828125,\n 40.84706035607122\n ],\n [\n -67.5,\n 43.83452678223682\n ],\n [\n -67.5,\n 47.27922900257082\n ],\n [\n -69.78515625,\n 47.27922900257082\n ],\n [\n -75.76171875,\n 45.82879925192134\n ],\n [\n -81.73828125,\n 42.16340342422401\n ],\n [\n -80.85937499999999,\n 45.089035564831036\n ],\n [\n -84.19921875,\n 46.92025531537451\n ],\n [\n -93.8671875,\n 49.38237278700955\n ],\n [\n -126.21093749999999,\n 49.49667452747045\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"283","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebfc72e4b07f1501afcfc4","contributors":{"authors":[{"text":"Tobias, Craig","contributorId":90612,"corporation":false,"usgs":true,"family":"Tobias","given":"Craig","affiliations":[],"preferred":false,"id":471455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":471454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034845,"text":"70034845 - 2011 - ASTER spectral analysis and lithologic mapping of the Khanneshin carbonatite volcano, Afghanistan","interactions":[],"lastModifiedDate":"2017-10-02T15:12:45","indexId":"70034845","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"ASTER spectral analysis and lithologic mapping of the Khanneshin carbonatite volcano, Afghanistan","docAbstract":"Advanced Spaceborne Thermal and Reflection Radiometer (ASTER) data of the early Quaternary Khanneshin carbonatite volcano located in southern Afghanistan were used to identify carbonate rocks within the volcano and to distinguish them from Neogene ferruginous polymict sandstone and argillite. The carbonatitic rocks are characterized by diagnostic CO3 absorption near 11.2 μm and 2.31–2.33 μm, whereas the sandstone, argillite, and adjacent alluvial deposits exhibit intense Si-O absorption near 8.7 μm caused mainly by quartz and Al-OH absorption near 2.20 μm due to muscovite and illite.
Calcitic carbonatite was distinguished from ankeritic carbonatite in the short wave infrared (SWIR) region of the ASTER data due to a slight shift of the CO3 absorption feature toward 2.26 μm (ASTER band 7) in the ankeritic carbonatite spectra. Spectral assessment using ASTER SWIR data suggests that the area is covered by extensive carbonatite flows that contain calcite, ankerite, and muscovite, though some areas mapped as ankeritic carbonatite on a preexisting geologic map were not identified in the ASTER data. A contact aureole shown on the geologic map was defined using an ASTER false color composite image (R = 6, G = 3, B = 1) and a logical operator byte image. The contact aureole rocks exhibit Fe2+, Al-OH, and Fe, Mg-OH spectral absorption features at 1.65, 2.2, and 2.33 μm, respectively, which suggest that the contact aureole rocks contain muscovite, epidote, and chlorite. The contact aureole rocks were mapped using an Interactive Data Language (IDL) logical operator.
A visible through short wave infrared (VNIR-SWIR) mineral and rock-type map based on matched filter, band ratio, and logical operator analysis illustrates: (1) laterally extensive calcitic carbonatite that covers most of the crater and areas northeast of the crater; (2) ankeritic carbonatite located southeast and north of the crater and some small deposits located within the crater; (3) agglomerate that primarily covers the inside rim of the crater and a small area west of the crater; (4) a crater rim that consists mostly of epidote-chlorite-muscovite–rich metamorphosed argillite and sandstone; and (5) iron (Fe3+) and muscovite-illite–rich rocks and iron-rich eolian sands surrounding the western part of the volcano. The thermal infrared (TIR) rock-type map illustrates laterally extensive carbonatitic and mafic rocks surrounded by quartz-rich eolian and fluvial reworked sediments. In addition, the combination of VNIR, SWIR, and TIR data complement one another in that the TIR data illustrate more laterally extensive rock types and the VNIR-SWIR data distinguish more specific varieties of rocks and mineral mixtures.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00630.1","issn":"1553040X","usgsCitation":"Mars, J., and Rowan, L.C., 2011, ASTER spectral analysis and lithologic mapping of the Khanneshin carbonatite volcano, Afghanistan: Geosphere, v. 7, no. 1, p. 276-289, https://doi.org/10.1130/GES00630.1.","productDescription":"14 p.","startPage":"276","endPage":"289","numberOfPages":"14","ipdsId":"IP-022104","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":475075,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00630.1","text":"Publisher Index Page"},{"id":243393,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215579,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00630.1"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e638e4b0c8380cd47274","contributors":{"authors":[{"text":"Mars, John C. jmars@usgs.gov","contributorId":127493,"corporation":false,"usgs":true,"family":"Mars","given":"John C.","email":"jmars@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":447905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowan, Lawrence C.","contributorId":58629,"corporation":false,"usgs":true,"family":"Rowan","given":"Lawrence","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":447904,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034275,"text":"70034275 - 2011 - Rainfall intensity-duration thresholds for postfire debris-flow emergency-response planning","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034275","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall intensity-duration thresholds for postfire debris-flow emergency-response planning","docAbstract":"Following wildfires, emergency-response and public-safety agencies can be faced with evacuation and resource-deployment decisions well in advance of coming winter storms and during storms themselves. Information critical to these decisions is provided for recently burned areas in the San Gabriel Mountains of southern California. A compilation of information on the hydrologic response to winter storms from recently burned areas in southern California steeplands is used to develop a system for classifying magnitudes of hydrologic response. The four-class system describes combinations of reported volumes of individual debris flows, consequences of debris flows and floods in an urban setting, and spatial extents of the hydrologic response. The range of rainfall conditions associated with different magnitude classes is defined by integrating local rainfall data with the response magnitude information. Magnitude I events can be expected when within-storm rainfall accumulations (A) of given durations (D) fall above the threshold A = 0.4D0.5 and below A = 0.5D0.6 for durations greater than 1 h. Magnitude II events will be generated in response to rainfall accumulations and durations between A = 0.4D0.5 and A = 0.9D0.5 for durations less than 1 h, and between A = 0.5D0.6 and A = 0.9D0.5 or durations greater than 1 h. Magnitude III events can be expected in response to rainfall conditions above the threshold A = 0.9D0.5. Rainfall threshold-magnitude relations are linked with potential emergency-response actions as an emergency-response decision chart, which leads a user through steps to determine potential event magnitudes and identify possible evacuation and resource-deployment levels. Use of this information in planning and response decision-making process could result in increased safety for both the public and emergency responders. ?? 2011 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11069-011-9747-2","issn":"0921030X","usgsCitation":"Cannon, S., Boldt, E., Laber, J., Kean, J., and Staley, D., 2011, Rainfall intensity-duration thresholds for postfire debris-flow emergency-response planning: Natural Hazards, v. 59, no. 1, p. 209-236, https://doi.org/10.1007/s11069-011-9747-2.","startPage":"209","endPage":"236","numberOfPages":"28","costCenters":[],"links":[{"id":216554,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-011-9747-2"},{"id":244432,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-05","publicationStatus":"PW","scienceBaseUri":"505a945fe4b0c8380cd81387","contributors":{"authors":[{"text":"Cannon, S.H.","contributorId":38154,"corporation":false,"usgs":true,"family":"Cannon","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":445035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boldt, E.M.","contributorId":33552,"corporation":false,"usgs":true,"family":"Boldt","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":445034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laber, J.L.","contributorId":83350,"corporation":false,"usgs":true,"family":"Laber","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":445037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":445036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, D.M.","contributorId":17851,"corporation":false,"usgs":true,"family":"Staley","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":445033,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034510,"text":"70034510 - 2011 - Short-term sandbar variability based on video imagery: Comparison between Time-Average and Time-Variance techniques","interactions":[],"lastModifiedDate":"2021-04-19T17:29:29.863775","indexId":"70034510","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Short-term sandbar variability based on video imagery: Comparison between Time-Average and Time-Variance techniques","docAbstract":"Time–exposure intensity (averaged) images are commonly used to locate the nearshore sandbar position (xb), based on the cross-shore locations of maximum pixel intensity (xi) of the bright bands in the images. It is not known, however, how the breaking patterns seen in Variance images (i.e. those created through standard deviation of pixel intensity over time) are related to the sandbar locations. We investigated the suitability of both Time–exposure and Variance images for sandbar detection within a multiple bar system on the southern coast of Brazil, and verified the relation between wave breaking patterns, observed as bands of high intensity in these images and cross-shore profiles of modeled wave energy dissipation (xD). Not only is Time–exposure maximum pixel intensity location (xi-Ti) well related to xb, but also to the maximum pixel intensity location of Variance images (xi-Va), although the latter was typically located 15 m offshore of the former. In addition, xi-Va was observed to be better associated with xD even though xi-Ti is commonly assumed as maximum wave energy dissipation. Significant wave height (Hs) and water level (η) were observed to affect the two types of images in a similar way, with an increase in both Hs and η resulting in xi shifting offshore. This η-induced xi variability has an opposite behavior to what is described in the literature, and is likely an indirect effect of higher waves breaking farther offshore during periods of storm surges. Multiple regression models performed on xi, Hs and η allowed the reduction of the residual errors between xb and xi, yielding accurate estimates with most residuals less than 10 m. Additionally, it was found that the sandbar position was best estimated using xi-Ti (xi-Va) when xb was located shoreward (seaward) of its mean position, for both the first and the second bar. Although it is unknown whether this is an indirect hydrodynamic effect or is indeed related to the morphology, we found that this behavior can be explored to optimize sandbar estimation using video imagery, even in the absence of hydrodynamic data.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2011.09.015","issn":"00253227","usgsCitation":"Guedes, R., Calliari, L., Holland, K.T., Plant, N., Pereira, P., and Alves, F., 2011, Short-term sandbar variability based on video imagery: Comparison between Time-Average and Time-Variance techniques: Marine Geology, v. 289, no. 1-4, p. 122-134, https://doi.org/10.1016/j.margeo.2011.09.015.","productDescription":"13 p.","startPage":"122","endPage":"134","costCenters":[],"links":[{"id":243624,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215798,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2011.09.015"}],"volume":"289","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8ec6e4b08c986b318b36","contributors":{"authors":[{"text":"Guedes, R.M.C.","contributorId":87775,"corporation":false,"usgs":true,"family":"Guedes","given":"R.M.C.","email":"","affiliations":[],"preferred":false,"id":446145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calliari, L.J.","contributorId":80509,"corporation":false,"usgs":true,"family":"Calliari","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":446144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, K. T.","contributorId":61013,"corporation":false,"usgs":true,"family":"Holland","given":"K.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":446142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plant, N.G.","contributorId":94023,"corporation":false,"usgs":true,"family":"Plant","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":446146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pereira, P.S.","contributorId":74981,"corporation":false,"usgs":true,"family":"Pereira","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":446143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alves, F.N.A.","contributorId":59649,"corporation":false,"usgs":true,"family":"Alves","given":"F.N.A.","email":"","affiliations":[],"preferred":false,"id":446141,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034420,"text":"70034420 - 2011 - Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project","interactions":[],"lastModifiedDate":"2017-04-06T12:35:54","indexId":"70034420","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project","docAbstract":"Vegetation Continuous Field (VCF) layers of 30 m percent tree cover, bare ground, other vegetation and probability of water were derived for the conterminous United States (CONUS) using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data sets from the Web-Enabled Landsat Data (WELD) project. Turnkey approaches to land cover characterization were enabled due to the systematic WELD Landsat processing, including conversion of digital numbers to calibrated top of atmosphere reflectance and brightness temperature, cloud masking, reprojection into a continental map projection and temporal compositing. Annual, seasonal and monthly WELD composites for 2008 were used as spectral inputs to a bagged regression and classification tree procedure using a large training data set derived from very high spatial resolution imagery and available ancillary data. The results illustrate the ability to perform Landsat land cover characterizations at continental scales that are internally consistent while retaining local spatial and thematic detail.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.519002","issn":"2150704X","usgsCitation":"Hansen, M., Egorov, A., Roy, D.P., Potapov, P., Ju, J., Turubanova, S., Kommareddy, I., and Loveland, T., 2011, Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project: Remote Sensing Letters, v. 2, no. 4, p. 279-288, https://doi.org/10.1080/01431161.2010.519002.","productDescription":"10 p.","startPage":"279","endPage":"288","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244725,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216830,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.519002"}],"volume":"2","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-11-06","publicationStatus":"PW","scienceBaseUri":"5059fa5ae4b0c8380cd4da7a","contributors":{"authors":[{"text":"Hansen, M.C.","contributorId":69690,"corporation":false,"usgs":false,"family":"Hansen","given":"M.C.","email":"","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":445684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Egorov, Alexey","contributorId":81719,"corporation":false,"usgs":false,"family":"Egorov","given":"Alexey","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":445685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, David P.","contributorId":54761,"corporation":false,"usgs":false,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false},{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false},{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":445682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Potapov, P.","contributorId":39921,"corporation":false,"usgs":true,"family":"Potapov","given":"P.","email":"","affiliations":[],"preferred":false,"id":445681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ju, J.","contributorId":85801,"corporation":false,"usgs":false,"family":"Ju","given":"J.","email":"","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":445686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turubanova, S.","contributorId":21375,"corporation":false,"usgs":true,"family":"Turubanova","given":"S.","affiliations":[],"preferred":false,"id":445680,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kommareddy, I.","contributorId":65693,"corporation":false,"usgs":true,"family":"Kommareddy","given":"I.","email":"","affiliations":[],"preferred":false,"id":445683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loveland, Thomas R. 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":106125,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":445687,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034308,"text":"70034308 - 2011 - Significant genetic differentiation between native and introduced silver carp (Hypophthalmichthys molitrix) inferred from mtDNA analysis","interactions":[],"lastModifiedDate":"2017-05-22T15:05:17","indexId":"70034308","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Significant genetic differentiation between native and introduced silver carp (Hypophthalmichthys molitrix) inferred from mtDNA analysis","docAbstract":"Silver carp Hypophthalmichthys molitrix (Cyprinidae) is native to China and has been introduced to over 80 countries. The extent of genetic diversity in introduced silver carp and the genetic divergence between introduced and native populations remain largely unknown. In this study, 241 silver carp sampled from three major native rivers and two non-native rivers (Mississippi River and Danube River) were analyzed using nucleotide sequences of mitochondrial COI gene and D-loop region. A total of 73 haplotypes were observed, with no haplotype found common to all the five populations and eight haplotypes shared by two to four populations. As compared with introduced populations, all native populations possess both higher haplotype diversity and higher nucleotide diversity, presumably a result of the founder effect. Significant genetic differentiation was revealed between native and introduced populations as well as among five sampled populations, suggesting strong selection pressures might have occurred in introduced populations. Collectively, this study not only provides baseline information for sustainable use of silver carp in their native country (i.e., China), but also offers first-hand genetic data for the control of silver carp in countries (e.g., the United States) where they are considered invasive.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10641-011-9870-7","issn":"03781909","usgsCitation":"Li, S., Xu, J., Yang, Q., Wang, C., Chapman, D., and Lu, G., 2011, Significant genetic differentiation between native and introduced silver carp (Hypophthalmichthys molitrix) inferred from mtDNA analysis: Environmental Biology of Fishes, v. 92, no. 4, p. 503-511, https://doi.org/10.1007/s10641-011-9870-7.","productDescription":"9 p.","startPage":"503","endPage":"511","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":244434,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216556,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-011-9870-7"}],"volume":"92","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-06-18","publicationStatus":"PW","scienceBaseUri":"505b8f2be4b08c986b318d77","contributors":{"authors":[{"text":"Li, S.-F.","contributorId":49626,"corporation":false,"usgs":true,"family":"Li","given":"S.-F.","email":"","affiliations":[],"preferred":false,"id":445174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, J.-W.","contributorId":78575,"corporation":false,"usgs":true,"family":"Xu","given":"J.-W.","email":"","affiliations":[],"preferred":false,"id":445176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Q.-L.","contributorId":107956,"corporation":false,"usgs":true,"family":"Yang","given":"Q.-L.","email":"","affiliations":[],"preferred":false,"id":445178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, C.H.","contributorId":10244,"corporation":false,"usgs":true,"family":"Wang","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":445173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, D.C.","contributorId":101825,"corporation":false,"usgs":true,"family":"Chapman","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":445177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lu, G.","contributorId":53189,"corporation":false,"usgs":true,"family":"Lu","given":"G.","email":"","affiliations":[],"preferred":false,"id":445175,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035022,"text":"70035022 - 2011 - Surface complexation modeling for predicting solid phase arsenic concentrations in the sediments of the Mississippi River Valley alluvial aquifer, Arkansas, USA","interactions":[],"lastModifiedDate":"2021-03-02T21:03:44.203144","indexId":"70035022","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Surface complexation modeling for predicting solid phase arsenic concentrations in the sediments of the Mississippi River Valley alluvial aquifer, Arkansas, USA","docAbstract":"The potential health impact of As in drinking water supply systems in the Mississippi River Valley alluvial aquifer in the state of Arkansas, USA is significant. In this context it is important to understand the occurrence, distribution and mobilization of As in the Mississippi River Valley alluvial aquifer. Application of surface complexation models (SCMs) to predict the sorption behavior of As and hydrous Fe oxides (HFO) in the laboratory has increased in the last decade. However, the application of SCMs to predict the sorption of As in natural sediments has not often been reported, and such applications are greatly constrained by the lack of site-specific model parameters. Attempts have been made to use SCMs considering a component additivity (CA) approach which accounts for relative abundances of pure phases in natural sediments, followed by the addition of SCM parameters individually for each phase. Although few reliable and internally consistent sorption databases related to HFO exist, the use of SCMs using laboratory-derived sorption databases to predict the mobility of As in natural sediments has increased. This study is an attempt to evaluate the ability of the SCMs using the geochemical code PHREEQC to predict solid phase As in the sediments of the Mississippi River Valley alluvial aquifer in Arkansas. The SCM option of the double-layer model (DLM) was simulated using ferrihydrite and goethite as sorbents quantified from chemical extractions, calculated surface-site densities, published surface properties, and published laboratory-derived sorption constants for the sorbents. The model results are satisfactory for shallow wells (10.6 m below ground surface), where the redox condition is relatively oxic or mildly suboxic. However, for the deep alluvial aquifer (21–36.6 m below ground surface) where the redox condition is suboxic to anoxic, the model results are unsatisfactory.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.01.008","issn":"08832927","usgsCitation":"Sharif, M., Davis, R., Steele, K., Kim, B., Hays, P., Kresse, T., and Fazio, J., 2011, Surface complexation modeling for predicting solid phase arsenic concentrations in the sediments of the Mississippi River Valley alluvial aquifer, Arkansas, USA: Applied Geochemistry, v. 26, no. 4, p. 496-504, https://doi.org/10.1016/j.apgeochem.2011.01.008.","productDescription":"9 p.","startPage":"496","endPage":"504","costCenters":[],"links":[{"id":243316,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215506,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.01.008"}],"country":"United States","state":"Arkansas","county":"Jefferson","otherGeospatial":"Mississippi River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.3345947265625,\n 33.85673152928873\n ],\n [\n -91.2689208984375,\n 33.85673152928873\n ],\n [\n -91.2689208984375,\n 34.59704151614417\n ],\n [\n -92.3345947265625,\n 34.59704151614417\n ],\n [\n -92.3345947265625,\n 33.85673152928873\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9f9ce4b08c986b31e6ee","contributors":{"authors":[{"text":"Sharif, M.S.U.","contributorId":7102,"corporation":false,"usgs":true,"family":"Sharif","given":"M.S.U.","email":"","affiliations":[],"preferred":false,"id":448916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, R.K.","contributorId":85307,"corporation":false,"usgs":true,"family":"Davis","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":448920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, K.F.","contributorId":50270,"corporation":false,"usgs":true,"family":"Steele","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":448917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, B.","contributorId":93173,"corporation":false,"usgs":true,"family":"Kim","given":"B.","email":"","affiliations":[],"preferred":false,"id":448921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hays, P.D.","contributorId":64682,"corporation":false,"usgs":true,"family":"Hays","given":"P.D.","email":"","affiliations":[],"preferred":false,"id":448919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kresse, T.M.","contributorId":107019,"corporation":false,"usgs":true,"family":"Kresse","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":448922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fazio, J.A.","contributorId":63135,"corporation":false,"usgs":true,"family":"Fazio","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":448918,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70034532,"text":"70034532 - 2011 - Storage as a Metric of Catchment Comparison","interactions":[],"lastModifiedDate":"2021-04-16T21:09:39.262456","indexId":"70034532","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Storage as a Metric of Catchment Comparison","docAbstract":"The volume of water stored within a catchment, and its partitioning among groundwater, soil moisture, snowpack, vegetation, and surface water are the variables that ultimately characterize the state of the hydrologic system. Accordingly, storage may provide useful metrics for catchment comparison. Unfortunately, measuring and predicting the amount of water present in a catchment is seldom done; tracking the dynamics of these stores is even rarer. Storage moderates fluxes and exerts critical controls on a wide range of hydrologic and biologic functions of a catchment. While understanding runoff generation and other processes by which catchments release water will always be central to hydrologic science, it is equally essential to understand how catchments retain water. We have initiated a catchment comparison exercise to begin assessing the value of viewing catchments from the storage perspective. The exercise is based on existing data from five watersheds, no common experimental design, and no integrated modelling efforts. Rather, storage was estimated independently for each site. This briefing presents some initial results of the exercise, poses questions about the definitions and importance of storage and the storage perspective, and suggests future directions for ongoing activities.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8113","issn":"08856087","usgsCitation":"McNamara, J.P., Tetzlaff, D., Bishop, K., Soulsby, C., Seyfried, M., Peters, N., Aulenbach, B., and Hooper, R., 2011, Storage as a Metric of Catchment Comparison: Hydrological Processes, v. 25, no. 21, p. 3364-3371, https://doi.org/10.1002/hyp.8113.","productDescription":"8 p.","startPage":"3364","endPage":"3371","costCenters":[],"links":[{"id":243438,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215622,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8113"}],"volume":"25","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-05-10","publicationStatus":"PW","scienceBaseUri":"505b986de4b08c986b31c01f","contributors":{"authors":[{"text":"McNamara, J. P.","contributorId":105551,"corporation":false,"usgs":false,"family":"McNamara","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":446251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tetzlaff, D.","contributorId":106622,"corporation":false,"usgs":true,"family":"Tetzlaff","given":"D.","email":"","affiliations":[],"preferred":false,"id":446252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, K.","contributorId":43191,"corporation":false,"usgs":true,"family":"Bishop","given":"K.","email":"","affiliations":[],"preferred":false,"id":446248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soulsby, C.","contributorId":40713,"corporation":false,"usgs":true,"family":"Soulsby","given":"C.","affiliations":[],"preferred":false,"id":446247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seyfried, M.","contributorId":51119,"corporation":false,"usgs":true,"family":"Seyfried","given":"M.","email":"","affiliations":[],"preferred":false,"id":446249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":446245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aulenbach, Brent T.","contributorId":62766,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent T.","affiliations":[],"preferred":false,"id":446250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hooper, R.","contributorId":40036,"corporation":false,"usgs":true,"family":"Hooper","given":"R.","affiliations":[],"preferred":false,"id":446246,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034848,"text":"70034848 - 2011 - Associated terrestrial and marine fossils in the late-glacial Presumpscot Formation, southern Maine, USA, and the marine reservoir effect on radiocarbon ages","interactions":[],"lastModifiedDate":"2021-03-10T20:02:51.731819","indexId":"70034848","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Associated terrestrial and marine fossils in the late-glacial Presumpscot Formation, southern Maine, USA, and the marine reservoir effect on radiocarbon ages","docAbstract":"Excavations in the late-glacial Presumpscot Formation at Portland, Maine, uncovered tree remains and other terrestrial organics associated with marine invertebrate shells in a landslide deposit. Buds of Populus balsamifera (balsam poplar) occurred with twigs of Picea glauca (white spruce) in the Presumpscot clay. Tree rings in Picea logs indicate that the trees all died during winter dormancy in the same year. Ring widths show patterns of variation indicating responses to environmental changes. Fossil mosses and insects represent a variety of species and wet to dry microsites. The late-glacial environment at the site was similar to that of today's Maine coast. Radiocarbon ages of 14 tree samples are 11,907 ± 31 to 11,650 ± 50 14C yr BP. Wiggle matching of dated tree-ring segments to radiocarbon calibration data sets dates the landslide occurrence at ca. 13,520 + 95/−20 cal yr BP. Ages of shells juxtaposed with the logs are 12,850 ± 65 14C yr BP (Mytilus edulis) and 12,800 ± 55 14C yr BP (Balanus sp.), indicating a marine reservoir age of about 1000 yr. Using this value to correct previously published radiocarbon ages reduces the discrepancy between the Maine deglaciation chronology and the varve-based chronology elsewhere in New England.
","language":"English","publisher":"Cambridge University Press","doi":"10.1016/j.yqres.2011.02.002","issn":"00335894","usgsCitation":"Thompson, W., Griggs, C., Miller, N., Nelson, R., Weddle, T., and Kilian, T., 2011, Associated terrestrial and marine fossils in the late-glacial Presumpscot Formation, southern Maine, USA, and the marine reservoir effect on radiocarbon ages: Quaternary Research, v. 75, no. 3, p. 552-565, https://doi.org/10.1016/j.yqres.2011.02.002.","productDescription":"14 p.","startPage":"552","endPage":"565","costCenters":[],"links":[{"id":243428,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215613,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2011.02.002"}],"country":"United States","state":"Maine","city":"Portland","otherGeospatial":"Portland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.4498291015625,\n 43.49676775343911\n ],\n [\n -70.07217407226562,\n 43.49676775343911\n ],\n [\n -70.07217407226562,\n 43.77605194348484\n ],\n [\n -70.4498291015625,\n 43.77605194348484\n ],\n [\n -70.4498291015625,\n 43.49676775343911\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5059ee8de4b0c8380cd49e01","contributors":{"authors":[{"text":"Thompson, W.B.","contributorId":98326,"corporation":false,"usgs":true,"family":"Thompson","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":447917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griggs, C.B.","contributorId":45587,"corporation":false,"usgs":true,"family":"Griggs","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":447913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, N.G.","contributorId":87318,"corporation":false,"usgs":true,"family":"Miller","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":447916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, R.E.","contributorId":53881,"corporation":false,"usgs":true,"family":"Nelson","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":447914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weddle, T.K.","contributorId":60002,"corporation":false,"usgs":true,"family":"Weddle","given":"T.K.","email":"","affiliations":[],"preferred":false,"id":447915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kilian, T.M.","contributorId":40090,"corporation":false,"usgs":true,"family":"Kilian","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":447912,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034816,"text":"70034816 - 2011 - Biogeochemical factors affecting the presence of 210Po in groundwater","interactions":[],"lastModifiedDate":"2013-04-15T18:16:52","indexId":"70034816","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Biogeochemical factors affecting the presence of 210Po in groundwater","docAbstract":"The discovery of natural 210Po enrichment at levels exceeding 500 mBq/L in numerous domestic wells in northern Nevada, USA, led to a geochemical investigation of the processes responsible for its mobilization. 210Po activities in 63 domestic and public-supply wells ranged from below 1 mBq/L to 6590 ± 590 mBq/L, among the highest reported levels in the USA. There is little spatial or depth variability in 210Pb activity in study-area sediments and mobilization of a few percent of the 210Po in the sediments would account for all of the 210Po in water. Stable-isotope measurements indicate SO4 reduction has occurred in all 210Po contaminated wells. Sulfide species are not accumulating in the groundwater in much of Lahontan Valley, probably because of S cycling involving microbial SO4 reduction, abiotic oxidation of H2S to S0 by Mn(IV), followed by microbial disproportionation of S0 to H2S and SO4. The high pH, Ca depletion, MnCO3 saturation, and presence of S0 in Lahontan Valley groundwater may be consequences of the anaerobic S cycling. Consistent with data from naturally-enriched wells in Florida, 210Po activities begin to decrease when aqueous sulfide species begin to accumulate. This may be due to formation and precipitation of PoS, however, Eh–pH diagrams suggest PoS would not be stable in study-area groundwater. An alternative explanation for the study area is that H2S accumulation begins when anaerobic S cycling stops because Mn oxides are depleted and their reduction is no longer releasing 210Po. Common features of 210Po-enriched groundwater were identified by comparing the radiological and geochemical data from Nevada with data from naturally-enriched wells in Finland, and Florida and Maryland in the USA. Values of pH ranged from <5 in Florida wells to >9 in Nevada wells, indicating that pH is not critical in determining whether 210Po is present. Where U is present in the sediments, the data suggest 210Po levels may be elevated in aquifers with (1) SO4-reducing waters with low H2S concentrations, or (2) anoxic or oxic waters with extremely high Rn activities, particularly if the water is turbid.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apgeochem.2011.01.011","issn":"08832927","usgsCitation":"Seiler, R.L., Stillings, L., Cutler, N., Salonen, L., and Outola, I., 2011, Biogeochemical factors affecting the presence of 210Po in groundwater: Applied Geochemistry, v. 26, no. 4, p. 526-539, https://doi.org/10.1016/j.apgeochem.2011.01.011.","productDescription":"14 p.","startPage":"526","endPage":"539","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":243861,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216022,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.01.011"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f152e4b0c8380cd4abba","contributors":{"authors":[{"text":"Seiler, R. L.","contributorId":87546,"corporation":false,"usgs":true,"family":"Seiler","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":447779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillings, L.L.","contributorId":52229,"corporation":false,"usgs":true,"family":"Stillings","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":447776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cutler, N.","contributorId":86992,"corporation":false,"usgs":true,"family":"Cutler","given":"N.","email":"","affiliations":[],"preferred":false,"id":447778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salonen, L.","contributorId":76568,"corporation":false,"usgs":true,"family":"Salonen","given":"L.","email":"","affiliations":[],"preferred":false,"id":447777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Outola, I.","contributorId":21783,"corporation":false,"usgs":true,"family":"Outola","given":"I.","email":"","affiliations":[],"preferred":false,"id":447775,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036505,"text":"70036505 - 2011 - Combined effects of tectonic and landslide-generated Tsunami Runup at Seward, Alaska during the Mw 9.2 1964 earthquake","interactions":[],"lastModifiedDate":"2023-11-03T15:36:25.275285","indexId":"70036505","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Combined effects of tectonic and landslide-generated Tsunami Runup at Seward, Alaska during the Mw 9.2 1964 earthquake","docAbstract":"We apply a recently developed and validated numerical model of tsunami propagation and runup to study the inundation of Resurrection Bay and the town of Seward by the 1964 Alaska tsunami. Seward was hit by both tectonic and landslide-generated tsunami waves during the
In response to the devastating 12 January 2010, earthquake in Haiti, the US Geological Survey (USGS) provided essential coordinating services for remote sensing activities. Communication was rapidly established between the widely distributed response teams and data providers to define imaging requirements and sensor tasking opportunities. Data acquired from a variety of sources were received and archived by the USGS, and these products were subsequently distributed using the Hazards Data Distribution System (HDDS) and other mechanisms. Within six weeks after the earthquake, over 600,000 files representing 54 terabytes of data were provided to the response community. The USGS directly supported a wide variety of groups in their use of these data to characterize post-earthquake conditions and to make comparisons with pre-event imagery. The rapid and continuing response achieved was enabled by existing imaging and ground systems, and skilled personnel adept in all aspects of satellite data acquisition, processing, distribution and analysis. The information derived from image interpretation assisted senior planners and on-site teams to direct assistance where it was most needed.
","language":"English","publisher":"Ingenta","doi":"10.14358/PERS.77.9.899","issn":"00991112","usgsCitation":"Duda, K., and Jones, B., 2011, USGS remote sensing coordination for the 2010 Haiti earthquake: Photogrammetric Engineering and Remote Sensing, v. 77, no. 9, p. 899-908, https://doi.org/10.14358/PERS.77.9.899.","productDescription":"10 p.","startPage":"899","endPage":"908","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475348,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.77.9.899","text":"Publisher Index Page"},{"id":244525,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbbd7e4b08c986b32887a","contributors":{"authors":[{"text":"Duda, Kenneth A. duda@usgs.gov","contributorId":2915,"corporation":false,"usgs":true,"family":"Duda","given":"Kenneth A.","email":"duda@usgs.gov","affiliations":[],"preferred":false,"id":445209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Brenda 0000-0003-4941-5349 bkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-5349","contributorId":2994,"corporation":false,"usgs":true,"family":"Jones","given":"Brenda","email":"bkjones@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":445208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035030,"text":"70035030 - 2011 - A perspective on nonstationarity and water management","interactions":[],"lastModifiedDate":"2013-05-23T14:44:34","indexId":"70035030","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"A perspective on nonstationarity and water management","docAbstract":"This essay offers some perspectives on climate-related nonstationarity and water resources. Hydrologists must not lose sight of the many sources of nonstationarity, recognizing that many of them may be of much greater magnitude than those that may arise from climate change. It is paradoxical that statistical and deterministic approaches give us better insights about changes in mean conditions than about the tails of probability distributions, and yet the tails are very important to water management. Another paradox is that it is difficult to distinguish between long-term hydrologic persistence and trend. Using very long hydrologic records is helpful in mitigating this problem, but does not guarantee success. Empirical approaches, using long-term hydrologic records, should be an important part of the portfolio of research being applied to understand the hydrologic response to climate change. An example presented here shows very mixed results for trends in the size of the annual floods, with some strong clusters of positive trends and a strong cluster of negative trends. The potential for nonstationarity highlights the importance of the continuity of hydrologic records, the need for repeated analysis of the data as the time series grow, and the need for a well-trained cadre of scientists and engineers, ready to interpret the data and use those analyses to help adjust the management of our water resources.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Water Resources Association","doi":"10.1111/j.1752-1688.2011.00539.x","issn":"1093474X","usgsCitation":"Hirsch, R., 2011, A perspective on nonstationarity and water management: Journal of the American Water Resources Association, v. 47, no. 3, p. 436-446, https://doi.org/10.1111/j.1752-1688.2011.00539.x.","productDescription":"11 p.","startPage":"436","endPage":"446","costCenters":[],"links":[{"id":215141,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00539.x"},{"id":242919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-06-01","publicationStatus":"PW","scienceBaseUri":"5059e2f5e4b0c8380cd45d57","contributors":{"authors":[{"text":"Hirsch, R.M.","contributorId":58639,"corporation":false,"usgs":true,"family":"Hirsch","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":448959,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70035703,"text":"70035703 - 2011 - New technique for quantification of elemental hg in mine wastes and its implications for mercury evasion into the atmosphere","interactions":[],"lastModifiedDate":"2021-02-17T13:15:26.278899","indexId":"70035703","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"New technique for quantification of elemental hg in mine wastes and its implications for mercury evasion into the atmosphere","docAbstract":"Mercury in the environment is of prime concern to both ecosystem and human health. Determination of the molecular-level speciation of Hg in soils and mine wastes is important for understanding its sequestration, mobility, and availability for methylation. Extended X-ray absorption fine structure (EXAFS) spectroscopy carried out under ambient P-T conditions has been used in a number of past studies to determine Hg speciation in complex mine wastes and associated soils. However, this approach cannot detect elemental (liquid) mercury in Hg-polluted soils and sediments due to the significant structural disorder of liquid Hg at ambient-temperature. A new sample preparation protocol involving slow cooling through the crystallization temperature of Hg(0) (234 K) results in its transformation to crystalline α-Hg(0). The presence and proportion of Hg(0), relative to other crystalline Hg-bearing phases, in samples prepared in this way can be quantified by low-temperature (77 K) EXAFS spectroscopy. Using this approach, we have determined the relative concentrations of liquid Hg(0) in Hg mine wastes from several sites in the California Coast Range and have found that they correlate well with measured fluxes of gaseous Hg released during light and dark exposure of the same samples, with higher evasion ratios from samples containing higher concentrations of liquid Hg(0). Two different linear relationships are observed in plots of the ratio of Hg emission under light and dark conditions vs % Hg(0), corresponding to silica−carbonate- and hot springs-type Hg deposits, with the hot springs-type samples exhibiting higher evasion fluxes than silica−carbonate type samples at similar Hg(0) concentrations. Our findings help explain significant differences in Hg evasion data for different mine sites in the California Coast Range.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es1023527","issn":"0013936X","usgsCitation":"Jew, A., Kim, C., Rytuba, J.J., Gustin, M., and Brown, G.E., 2011, New technique for quantification of elemental hg in mine wastes and its implications for mercury evasion into the atmosphere: Environmental Science & Technology, v. 45, no. 2, p. 412-417, https://doi.org/10.1021/es1023527.","productDescription":"6 p.","startPage":"412","endPage":"417","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":475110,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3030447","text":"External Repository"},{"id":244140,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","scienceBaseUri":"505a661ae4b0c8380cd72d10","contributors":{"authors":[{"text":"Jew, A.D.","contributorId":66090,"corporation":false,"usgs":true,"family":"Jew","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":451984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, C.S.","contributorId":54365,"corporation":false,"usgs":true,"family":"Kim","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":451983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":451985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gustin, M.S.","contributorId":101837,"corporation":false,"usgs":true,"family":"Gustin","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":451986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Gordon E. Jr.","contributorId":10166,"corporation":false,"usgs":true,"family":"Brown","given":"Gordon","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":451982,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034872,"text":"70034872 - 2011 - Retesting of liquefaction and nonliquefaction case histories from the 1976 Tangshan earthquake","interactions":[],"lastModifiedDate":"2021-03-09T19:06:13.087255","indexId":"70034872","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Retesting of liquefaction and nonliquefaction case histories from the 1976 Tangshan earthquake","docAbstract":"A field investigation was performed to retest liquefaction and nonliquefaction sites from the 1976 Tangshan earthquake in China. These sites were carefully investigated in 1978 and 1979 by using standard penetration test (SPT) and cone penetration test (CPT) equipment; however, the CPT measurements are obsolete because of the now nonstandard cone that was used at the time. In 2007, a modern cone was mobilized to retest 18 selected sites that are particularly important because of the intense ground shaking they sustained despite their high fines content and/or because the site did not liquefy. Of the sites reinvestigated and carefully reprocessed, 13 were considered accurate representative case histories. Two of the sites that were originally investigated for liquefaction have been reinvestigated for cyclic failure of fine-grained soil and removed from consideration for liquefaction triggering. The most important outcome of these field investigations was the collection of more accurate data for three nonliquefaction sites that experienced intense ground shaking. Data for these three case histories is now included in an area of the liquefaction triggering database that was poorly populated and will help constrain the upper bound of future liquefaction triggering curves.
","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)GT.1943-5606.0000406","issn":"10900241","usgsCitation":"Moss, R., Kayen, R.E., Tong, L., Liu, S., Cai, G., and Wu, J., 2011, Retesting of liquefaction and nonliquefaction case histories from the 1976 Tangshan earthquake: Journal of Geotechnical and Geoenvironmental Engineering, v. 137, no. 4, p. 334-343, https://doi.org/10.1061/(ASCE)GT.1943-5606.0000406.","productDescription":"10 p.","startPage":"334","endPage":"343","costCenters":[],"links":[{"id":501077,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.calpoly.edu/cenv_fac/215","text":"External Repository"},{"id":243864,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216025,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)GT.1943-5606.0000406"}],"country":"China","otherGeospatial":"Tangshan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 116.19140625,\n 38.788345355085625\n ],\n [\n 119.94873046875,\n 38.788345355085625\n ],\n [\n 119.94873046875,\n 41.36031866306708\n ],\n [\n 116.19140625,\n 41.36031866306708\n ],\n [\n 116.19140625,\n 38.788345355085625\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"137","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aac17e4b0c8380cd86b4a","contributors":{"authors":[{"text":"Moss, R.E.S.","contributorId":71362,"corporation":false,"usgs":true,"family":"Moss","given":"R.E.S.","email":"","affiliations":[],"preferred":false,"id":448099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kayen, R. E.","contributorId":14424,"corporation":false,"usgs":true,"family":"Kayen","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":448094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tong, L.-Y.","contributorId":32374,"corporation":false,"usgs":true,"family":"Tong","given":"L.-Y.","email":"","affiliations":[],"preferred":false,"id":448096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, S.-Y.","contributorId":71027,"corporation":false,"usgs":true,"family":"Liu","given":"S.-Y.","email":"","affiliations":[],"preferred":false,"id":448098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cai, G.-J.","contributorId":21784,"corporation":false,"usgs":true,"family":"Cai","given":"G.-J.","email":"","affiliations":[],"preferred":false,"id":448095,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, J.","contributorId":56998,"corporation":false,"usgs":true,"family":"Wu","given":"J.","email":"","affiliations":[],"preferred":false,"id":448097,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}