{"pageNumber":"1935","pageRowStart":"48350","pageSize":"25","recordCount":184617,"records":[{"id":70036542,"text":"70036542 - 2010 - Predicting potentially toxigenic Pseudo-nitzschia blooms in the Chesapeake Bay","interactions":[],"lastModifiedDate":"2012-03-12T17:22:01","indexId":"70036542","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2381,"text":"Journal of Marine Systems","active":true,"publicationSubtype":{"id":10}},"title":"Predicting potentially toxigenic Pseudo-nitzschia blooms in the Chesapeake Bay","docAbstract":"Harmful algal blooms are now recognized as a significant threat to the Chesapeake Bay as they can severely compromise the economic viability of important recreational and commercial fisheries in the largest estuary of the United States. This study describes the development of empirical models for the potentially domoic acid-producing Pseudo-nitzschia species complex present in the Bay, developed from a 22-year time series of cell abundance and concurrent measurements of hydrographic and chemical properties. Using a logistic Generalized Linear Model (GLM) approach, model parameters and performance were compared over a range of Pseudo-nitzschia bloom thresholds relevant to toxin production by different species. Small-threshold blooms (???10cellsmL-1) are explained by time of year, location, and variability in surface values of phosphate, temperature, nitrate plus nitrite, and freshwater discharge. Medium- (100cellsmL-1) to large- threshold (1000cellsmL-1) blooms are further explained by salinity, silicic acid, dissolved organic carbon, and light attenuation (Secchi) depth. These predictors are similar to other models for Pseudo-nitzschia blooms on the west coast, suggesting commonalities across ecosystems. Hindcasts of bloom probabilities at a 19% bloom prediction point yield a Heidke Skill Score of -53%, a Probability of Detection ~75%, a False Alarm Ratio of ~52%, and a Probability of False Detection ~9%. The implication of possible future changes in Baywide nutrient stoichiometry on Pseudo-nitzschia blooms is discussed. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Marine Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jmarsys.2010.04.003","issn":"09247963","usgsCitation":"Anderson, C., Sapiano, M., Prasad, M., Long, W., Tango, P., Brown, C., and Murtugudde, R., 2010, Predicting potentially toxigenic Pseudo-nitzschia blooms in the Chesapeake Bay: Journal of Marine Systems, v. 83, no. 3-4, p. 127-140, https://doi.org/10.1016/j.jmarsys.2010.04.003.","startPage":"127","endPage":"140","numberOfPages":"14","costCenters":[],"links":[{"id":217554,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jmarsys.2010.04.003"},{"id":245507,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a81c4e4b0c8380cd7b6f8","contributors":{"authors":[{"text":"Anderson, C.R.","contributorId":37181,"corporation":false,"usgs":true,"family":"Anderson","given":"C.R.","affiliations":[],"preferred":false,"id":456636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sapiano, M.R.P.","contributorId":60055,"corporation":false,"usgs":true,"family":"Sapiano","given":"M.R.P.","email":"","affiliations":[],"preferred":false,"id":456640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prasad, M.B.K.","contributorId":50379,"corporation":false,"usgs":true,"family":"Prasad","given":"M.B.K.","email":"","affiliations":[],"preferred":false,"id":456638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, W.","contributorId":59963,"corporation":false,"usgs":true,"family":"Long","given":"W.","email":"","affiliations":[],"preferred":false,"id":456639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tango, P.J.","contributorId":46338,"corporation":false,"usgs":true,"family":"Tango","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":456637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, C.W.","contributorId":35675,"corporation":false,"usgs":true,"family":"Brown","given":"C.W.","email":"","affiliations":[],"preferred":false,"id":456635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murtugudde, R.","contributorId":95308,"corporation":false,"usgs":true,"family":"Murtugudde","given":"R.","email":"","affiliations":[],"preferred":false,"id":456641,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70037643,"text":"70037643 - 2010 - Climate change threatens polar bear populations: A stochastic demographic analysis","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037643","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climate change threatens polar bear populations: A stochastic demographic analysis","docAbstract":"The polar bear (Ursus maritimus) depends on sea ice for feeding, breeding, and movement. Significant reductions in Arctic sea ice are forecast to continue because of climate warming. We evaluated the impacts of climate change on polar bears in the southern Beaufort Sea by means of a demographic analysis, combining deterministic, stochastic, environment-dependent matrix population models with forecasts of future sea ice conditions from IPCC general circulation models (GCMs). The matrix population models classified individuals by age and breeding status; mothers and dependent cubs were treated as units. Parameter estimates were obtained from a capture-recapture study conducted from 2001 to 2006. Candidate statistical models allowed vital rates to vary with time and as functions of a sea ice covariate. Model averaging was used to produce the vital rate estimates, and a parametric bootstrap procedure was used to quantify model selection and parameter estimation uncertainty. Deterministic models projected population growth in years with more extensive ice coverage (2001-2003) and population decline in years with less ice coverage (2004-2005). LTRE (life table response experiment) analysis showed that the reduction in ?? in years with low sea ice was due primarily to reduced adult female survival, and secondarily to reduced breeding. A stochastic model with two environmental states, good and poor sea ice conditions, projected a declining stochastic growth rate, log ??s, as the frequency of poor ice years increased. The observed frequency of poor ice years since 1979 would imply log ??s ' - 0.01, which agrees with available (albeit crude) observations of population size. The stochastic model was linked to a set of 10 GCMs compiled by the IPCC; the models were chosen for their ability to reproduce historical observations of sea ice and were forced with \"business as usual\" (A1B) greenhouse gas emissions. The resulting stochastic population projections showed drastic declines in the polar bear population by the end of the 21st century. These projections were instrumental in the decision to list the polar bear as a threatened species under the U.S. Endangered Species Act. ?? 2010 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/09-1641.1","issn":"00129658","usgsCitation":"Hunter, C., Caswell, H., Runge, M., Regehr, E., Amstrup, S.C., and Stirling, I., 2010, Climate change threatens polar bear populations: A stochastic demographic analysis: Ecology, v. 91, no. 10, p. 2883-2897, https://doi.org/10.1890/09-1641.1.","startPage":"2883","endPage":"2897","numberOfPages":"15","costCenters":[],"links":[{"id":475790,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/09-1641.1","text":"Publisher Index Page"},{"id":218103,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/09-1641.1"},{"id":246085,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f64ee4b0c8380cd4c69a","contributors":{"authors":[{"text":"Hunter, C.M.","contributorId":19670,"corporation":false,"usgs":true,"family":"Hunter","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":462065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caswell, H.","contributorId":103114,"corporation":false,"usgs":true,"family":"Caswell","given":"H.","email":"","affiliations":[],"preferred":false,"id":462069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, M.C. 0000-0002-8081-536X","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":49312,"corporation":false,"usgs":true,"family":"Runge","given":"M.C.","affiliations":[],"preferred":false,"id":462066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regehr, E.V.","contributorId":90937,"corporation":false,"usgs":true,"family":"Regehr","given":"E.V.","affiliations":[],"preferred":false,"id":462068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":462067,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stirling, I.","contributorId":103615,"corporation":false,"usgs":false,"family":"Stirling","given":"I.","email":"","affiliations":[],"preferred":false,"id":462070,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70037701,"text":"70037701 - 2010 - Long-term reductions in anthropogenic nutrients link to improvements in Chesapeake Bay habitat","interactions":[],"lastModifiedDate":"2013-05-23T14:37:34","indexId":"70037701","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Long-term reductions in anthropogenic nutrients link to improvements in Chesapeake Bay habitat","docAbstract":"Great effort continues to focus on ecosystem restoration and reduction of nutrient inputs thought to be responsible, in part, for declines in estuary habitats worldwide. The ability of environmental policy to address restoration is limited, in part, by uncertainty in the relationships between costly restoration and benefits. Here, we present results from an 18-y field investigation (1990-2007) of submerged aquatic vegetation (SAV) community dynamics and water quality in the Potomac River, a major tributary of the Chesapeake Bay. River and anthropogenic discharges lower water clarity by introducing nutrients that stimulate phytoplankton and epiphyte growth as well as suspended sediments. Efforts to restore the Chesapeake Bay are often viewed as failing. Overall nutrient reduction and SAV restoration goals have not been met. In the Potomac River, however, reduced in situ nutrients, wastewater-treatment effluent nitrogen, and total suspended solids were significantly correlated to increased SAV abundance and diversity. Species composition and relative abundance also correlated with nutrient and water-quality conditions, indicating declining fitness of exotic species relative to native species during restoration. Our results suggest that environmental policies that reduce anthropogenic nutrient inputs do result in improved habitat quality, with increased diversity and native species abundances. The results also help elucidate why SAV cover has improved only in some areas of the Chesapeake Bay.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1003590107","issn":"00278424","usgsCitation":"Ruhl, H., and Rybicki, N.B., 2010, Long-term reductions in anthropogenic nutrients link to improvements in Chesapeake Bay habitat: Proceedings of the National Academy of Sciences of the United States of America, v. 107, no. 38, p. 16566-16570, https://doi.org/10.1073/pnas.1003590107.","productDescription":"5 p.","startPage":"16566","endPage":"16570","costCenters":[],"links":[{"id":475787,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2944724","text":"External Repository"},{"id":218056,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1003590107"},{"id":246036,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.46,36.91 ], [ -76.46,37.97 ], [ -75.64,37.97 ], [ -75.64,36.91 ], [ -76.46,36.91 ] ] ] } } ] }","volume":"107","issue":"38","noUsgsAuthors":false,"publicationDate":"2010-09-07","publicationStatus":"PW","scienceBaseUri":"505a49a7e4b0c8380cd687ac","contributors":{"authors":[{"text":"Ruhl, H.","contributorId":31416,"corporation":false,"usgs":true,"family":"Ruhl","given":"H.","email":"","affiliations":[],"preferred":false,"id":462380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rybicki, N. B.","contributorId":97504,"corporation":false,"usgs":true,"family":"Rybicki","given":"N.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":462381,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037595,"text":"70037595 - 2010 - Shallow magma accumulation at Kīlauea Volcano, Hawai‘i, revealed by microgravity surveys","interactions":[],"lastModifiedDate":"2019-11-12T14:48:06","indexId":"70037595","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Shallow magma accumulation at Kīlauea Volcano, Hawai‘i, revealed by microgravity surveys","docAbstract":"

Using microgravity data collected at Kīlauea Volcano, Hawai‘i (United States), between November 1975 and January 2008, we document significant mass increase beneath the east margin of Halema‘uma‘u Crater, within Kīlauea's summit caldera. Surprisingly, there was no sustained uplift accompanying the mass accumulation. We propose that the positive gravity residual in the absence of significant uplift is indicative of magma accumulation in void space (probably a network of interconnected cracks), which may have been created when magma withdrew from the summit in response to the 29 November 1975 M = 7.2 south flank earthquake. Subsequent refilling documented by gravity represents a gradual recovery from that earthquake. A new eruptive vent opened at the summit of Kīlauea in 2008 within a few hundred meters of the positive gravity residual maximum, probably tapping the reservoir that had been accumulating magma since the 1975 earthquake.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G31323.1","issn":"00917613","usgsCitation":"Johnson, D., Eggers, A.A., Bagnardi, M., Battaglia, M., Poland, M., and Miklius, A., 2010, Shallow magma accumulation at Kīlauea Volcano, Hawai‘i, revealed by microgravity surveys: Geology, v. 38, no. 12, p. 1139-1142, https://doi.org/10.1130/G31323.1.","productDescription":"4 p.","startPage":"1139","endPage":"1142","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":245964,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217989,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G31323.1"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.29037475585938,\n 19.25216359015986\n ],\n [\n -155.25466918945312,\n 19.25929414046391\n ],\n [\n -155.24574279785156,\n 19.25929414046391\n ],\n [\n -155.21896362304688,\n 19.24957058592488\n ],\n [\n -155.19287109375,\n 19.24632927300332\n ],\n [\n -155.1393127441406,\n 19.26123878219602\n ],\n [\n -155.10635375976562,\n 19.283924564443133\n ],\n [\n -155.05760192871094,\n 19.30660720441715\n ],\n [\n -155.00885009765625,\n 19.326046963894623\n ],\n [\n -155.02120971679688,\n 19.362976133341846\n ],\n [\n -155.0335693359375,\n 19.385647795879144\n ],\n [\n -155.05966186523438,\n 19.405725775580528\n ],\n [\n -155.11734008789062,\n 19.44393185624604\n ],\n [\n -155.21827697753906,\n 19.41867799583191\n ],\n [\n -155.22720336914062,\n 19.41414483611448\n ],\n [\n -155.26634216308594,\n 19.35714576748661\n ],\n [\n -155.28488159179688,\n 19.31308738110667\n ],\n [\n -155.29861450195312,\n 19.270961644869896\n ],\n [\n -155.29037475585938,\n 19.25216359015986\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8e32e4b08c986b3187b2","contributors":{"authors":[{"text":"Johnson, Daniel J.","contributorId":71970,"corporation":false,"usgs":true,"family":"Johnson","given":"Daniel J.","affiliations":[],"preferred":false,"id":461836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggers, Albert A.","contributorId":9552,"corporation":false,"usgs":true,"family":"Eggers","given":"Albert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":461838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagnardi, Marco","contributorId":62106,"corporation":false,"usgs":true,"family":"Bagnardi","given":"Marco","affiliations":[],"preferred":false,"id":461834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglia, Maurizio","contributorId":32602,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","affiliations":[],"preferred":false,"id":461835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":461839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miklius, Asta 0000-0002-2286-1886 asta@usgs.gov","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":2060,"corporation":false,"usgs":true,"family":"Miklius","given":"Asta","email":"asta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":461837,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043672,"text":"70043672 - 2010 - Guidelines to indirectly measure and enhance detection efficiency of stationary PIT tag interrogation systems in streams","interactions":[],"lastModifiedDate":"2016-06-23T15:47:24","indexId":"70043672","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Guidelines to indirectly measure and enhance detection efficiency of stationary PIT tag interrogation systems in streams","docAbstract":"

With increasing use of passive integrated transponder (PIT) tags and reliance on stationary PIT tag interrogation systems to monitor fish populations, guidelines are offered to inform users how best to use limited funding and human resources to create functional systems that maximize a desired level of detection and precision. The estimators of detection efficiency and their variability as described by Connolly et al. (2008) are explored over a span of likely performance metrics. These estimators were developed to estimate detection efficiency without relying on a known number of fish passing the system. I present graphical displays of the results derived from these estimators to show the potential efficiency and precision to be gained by adding an array or by increasing the number of PIT-tagged fish expected to move past an interrogation system.

","language":"English","publisher":"PNAMP","usgsCitation":"Connolly, P., 2010, Guidelines to indirectly measure and enhance detection efficiency of stationary PIT tag interrogation systems in streams, p. 119-126.","productDescription":"8 p.","startPage":"119","endPage":"126","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017532","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":324312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576d0831e4b07657d1a37563","contributors":{"authors":[{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":640583,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70043674,"text":"70043674 - 2010 - Juvenile Salmonid survival, passage, and egress at McNary Dam during tests of temporary spillway weirs, 2009","interactions":[],"lastModifiedDate":"2016-12-27T11:10:19","indexId":"70043674","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Juvenile Salmonid survival, passage, and egress at McNary Dam during tests of temporary spillway weirs, 2009","docAbstract":"We evaluated behavior, passage, and survival of juvenile salmonids at McNary Dam in relation to the temporary spillway weirs (TSWs) using acoustic telemetry during 2009. The TSWs were located in spill bays 4 and 20 during spring and in spill bays 19 and 20 during summer. Our objectives were to assess the performance of the TSWs as a fish passage alternative. We also examined how tailrace conditions might have influenced fish survival by releasing drift buoys (drogues).\nThe TSWs proved to be a relatively effective way to pass juvenile salmonids at McNary Dam (Summary Tables 1.1, 1.2, and 1.3), as was the case in 2007 and 2008. The TSWs passed about 14% of yearling Chinook salmon and 34% of juvenile steelhead with only 5-10% of total project discharge flowing through the TSWs. The TSWs and adjacent spill bays 16-18 passed 27% of subyearling Chinook salmon in the summer with 6-16% of total project discharge flowing through the TSWs. Based on the number of fish passing per the proportion of water flowing through the spillway (i.e., passage effectiveness), the TSWs were the most effective passage route. Passage effectiveness for fish passing through both TSW structures was 2.0 for yearling Chinook salmon, 5.2 for juvenile steelhead, and 2.7 subyearling Chinook salmon for TSW 20 alone. Higher passage of juvenile steelhead through the TSWs could have resulted from juvenile steelhead being more surface-oriented during migration (Plumb et al. 2004; Beeman et al. 2007; Beeman and Maule 2006). Based on passage performance and effectiveness metrics, TSW 4, located on the north end of the spillway, did not perform as well as TSW 20, located on the south end of the spillway. Passage proportions for TSW 4 were at least half that of the levels observed for TSW 20 for both yearling Chinook salmon and juvenile steelhead. This difference may be attributed to TSW location or other variables such as dam operations. Regardless of which TSW was used by fish passing the dam, survival through both TSWs was high (> 0.98 for paired-release dam survival) for yearling Chinook salmon and juvenile steelhead.","language":"English","publisher":"U.S. Army Corps of Engineers","publisherLocation":"Walla Walla, WA","usgsCitation":"Adams, N., and Liedtke, T., 2010, Juvenile Salmonid survival, passage, and egress at McNary Dam during tests of temporary spillway weirs, 2009, 191 p. .","productDescription":"191 p. ","ipdsId":"IP-022316","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"McNary Dam ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.37366485595702,\n 45.93252776429104\n ],\n [\n -119.29538726806639,\n 45.94709159562572\n ],\n [\n -119.24148559570311,\n 45.95162708963677\n ],\n [\n -119.16183471679688,\n 45.940645781504905\n ],\n [\n -119.10003662109374,\n 45.952104488469985\n ],\n [\n -119.09591674804688,\n 45.91867663909007\n ],\n [\n -119.21539306640626,\n 45.915810457254395\n ],\n [\n -119.34585571289062,\n 45.909122123907295\n ],\n [\n -119.38293457031249,\n 45.90243298453263\n ],\n [\n -119.39117431640625,\n 45.93300532761351\n ],\n [\n -119.37366485595702,\n 45.93252776429104\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58638bd6e4b0cd2dabe7bec4","contributors":{"authors":[{"text":"Adams, N.S.","contributorId":93175,"corporation":false,"usgs":true,"family":"Adams","given":"N.S.","affiliations":[],"preferred":false,"id":656638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, T.L.","contributorId":32800,"corporation":false,"usgs":true,"family":"Liedtke","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":656639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044510,"text":"70044510 - 2010 - Novel silver tubing method for quantitative introduction of water into high temperature conversion systems for stable hydrogen and oxygen isotopic measurements","interactions":[],"lastModifiedDate":"2018-10-10T09:58:07","indexId":"70044510","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Novel silver tubing method for quantitative introduction of water into high temperature conversion systems for stable hydrogen and oxygen isotopic measurements","docAbstract":"A new method to seal water in silver tubes for use in a TC/EA reduction unit using a semi-automated sealing apparatus can yield reproducibilities (1 standard deviation) of δ2H and &delta18O measurements of 1.0 ‰ and 0.06 ‰, respectively. These silver tubes containing reference waters may be preferred for calibration of H- and O-bearing materials analyzed with a TC/EA reduction unit. The new sealing apparatus employs a computer controlled stepping motor to produce silver tubes identical in length. The reproducibility of mass of water sealed in tubes (in a range of 200 to 400 µg) can be as good as 1 percent. Although silver tubes sealed with reference waters are robust and can be shaken or heated to 110 °C with no loss of integrity, they should not be frozen because the expansion during the phase transition of water to ice will break the cold seals and all water will be lost. They should be shipped in insulated containers. This new method eliminates air inclusions and isotopic fractionation of water associated with the loading of water into capsules using a syringe. The method is also more than an order of magnitude faster than preparing water samples in ordinary Ag capsules. Nevertheless, some laboratories may prefer loading water into silver capsules because expensive equipment is not needed, but they are cautioned to apply the necessary corrections for evaporation, back exchange with laboratory atmospheric moisture, and blank.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rcm.4559","usgsCitation":"Qi, H., Groning, M., Coplen, T.B., Buck, B., Mroczkowski, S.J., Brand, W., Geilmann, H., and Gehre, M., 2010, Novel silver tubing method for quantitative introduction of water into high temperature conversion systems for stable hydrogen and oxygen isotopic measurements: Rapid Communications in Mass Spectrometry, v. 24, no. 13, p. 1821-1827, https://doi.org/10.1002/rcm.4559.","productDescription":"7 p.","startPage":"1821","endPage":"1827","numberOfPages":"7","additionalOnlineFiles":"N","ipdsId":"IP-020156","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":588,"text":"Toxic Hydrology Program","active":false,"usgs":true}],"links":[{"id":269701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269698,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rcm.4559"}],"volume":"24","issue":"13","noUsgsAuthors":false,"publicationDate":"2010-06-02","publicationStatus":"PW","scienceBaseUri":"514988f2e4b0971933f6369f","contributors":{"authors":[{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groning, Manfred","contributorId":47659,"corporation":false,"usgs":true,"family":"Groning","given":"Manfred","affiliations":[],"preferred":false,"id":475782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buck, Bryan bbuck@usgs.gov","contributorId":2326,"corporation":false,"usgs":true,"family":"Buck","given":"Bryan","email":"bbuck@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mroczkowski, Stanley J. 0000-0001-8026-6025 smroczko@usgs.gov","orcid":"https://orcid.org/0000-0001-8026-6025","contributorId":2628,"corporation":false,"usgs":true,"family":"Mroczkowski","given":"Stanley","email":"smroczko@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brand, Willi A.","contributorId":38866,"corporation":false,"usgs":true,"family":"Brand","given":"Willi A.","affiliations":[],"preferred":false,"id":475780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Geilmann, Heike","contributorId":41303,"corporation":false,"usgs":false,"family":"Geilmann","given":"Heike","email":"","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":475781,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gehre, Matthias","contributorId":34004,"corporation":false,"usgs":false,"family":"Gehre","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":475779,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70043784,"text":"70043784 - 2010 - Analyzing debris flows with the statistically calibrated empirical model LAHARZ in southeastern Arizona, USA","interactions":[],"lastModifiedDate":"2020-12-02T15:03:26.875496","indexId":"70043784","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Analyzing debris flows with the statistically calibrated empirical model LAHARZ in southeastern Arizona, USA","docAbstract":"

Hazard-zone delineation for extreme events is essential for floodplain management near mountain fronts in arid and semiarid regions. On 31 July 2006, unprecedented debris flows occurred in the Santa Catalina Mountains of southeastern Arizona following extreme multiday precipitation (recurrence interval > 1000 years for 4-day precipitation). Most mobilized sediment contributing to debris flows was derived from shallow-seated failures of colluvium on steep slopes. A total of 435 slope failures in the southern Santa Catalina Mountains released 1.34 million Mg of sediment into the channels of 10 drainage basins. Five drainages produced debris flows that moved to the apices of alluvial fans on the southern edge of the mountain front, damaging infrastructure and aggrading channels to reduce future flood conveyance. Using the statistically calibrated, empirical debris-flow model LAHARZ and modified model coefficients developed to better match conditions in southeastern Arizona, we predicted the approximate area of deposition and travel distance in comparison to observed depositional areas and travel distance for seven debris flows. Two of the modeled debris flows represented single slope failures that terminated downslope with no additive influence of other debris flows or streamflow flooding. Five of the simulated debris flows represented the aggregation of multiple slope failures and streamflow flooding into multiple debris-flow pulses. Because LAHARZ is a debris-flow hazard-zone delineation tool, the complexity of alternating transport and deposition zones in channels with abrupt expansions and contractions reduces the applicability of the model in some drainage basins.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2010.02.022","usgsCitation":"Magirl, C.S., Griffiths, P.G., and Webb, R., 2010, Analyzing debris flows with the statistically calibrated empirical model LAHARZ in southeastern Arizona, USA: Geomorphology, v. 119, no. 1-2, p. 111-124, https://doi.org/10.1016/j.geomorph.2010.02.022.","productDescription":"14 p.","startPage":"111","endPage":"124","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011799","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":49157,"text":"Rocky Mountain Regional Office","active":true,"usgs":true}],"links":[{"id":274285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","volume":"119","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ceb05fe4b044272b8e8914","contributors":{"authors":[{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffiths, Peter G. 0000-0002-8663-8907 pggriffi@usgs.gov","orcid":"https://orcid.org/0000-0002-8663-8907","contributorId":187,"corporation":false,"usgs":true,"family":"Griffiths","given":"Peter","email":"pggriffi@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":474236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":474237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037087,"text":"70037087 - 2010 - Recruitment in a Colorado population of big brown bats: Breeding probabilities, litter size, and first-year survival","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037087","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Recruitment in a Colorado population of big brown bats: Breeding probabilities, litter size, and first-year survival","docAbstract":"We used markrecapture estimation techniques and radiography to test hypotheses about 3 important aspects of recruitment in big brown bats (Eptesicus fuscus) in Fort Collins, Colorado: adult breeding probabilities, litter size, and 1st-year survival of young. We marked 2,968 females with passive integrated transponder (PIT) tags at multiple sites during 2001-2005 and based our assessments on direct recaptures (breeding probabilities) and passive detection with automated PIT tag readers (1st-year survival). We interpreted our data in relation to hypotheses regarding demographic influences of bat age, roost, and effects of years with unusual environmental conditions: extreme drought (2002) and arrival of a West Nile virus epizootic (2003). Conditional breeding probabilities at 6 roosts sampled in 2002-2005 were estimated as 0.64 (95% confidence interval [95% CI] = 0.530.73) in 1-year-old females, but were consistently high (95% CI = 0.940.96) and did not vary by roost, year, or prior year breeding status in older adults. Mean litter size was 1.11 (95% CI = 1.051.17), based on examination of 112 pregnant females by radiography. Litter size was not higher in older or larger females and was similar to results of other studies in western North America despite wide variation in latitude. First-year survival was estimated as 0.67 (95% CI = 0.610.73) for weaned females at 5 maternity roosts over 5 consecutive years, was lower than adult survival (0.79; 95% CI = 0.770.81), and varied by roost. Based on model selection criteria, strong evidence exists for complex roost and year effects on 1st-year survival. First-year survival was lowest in bats born during the drought year. Juvenile females that did not return to roosts as 1-year-olds had lower body condition indices in late summer of their natal year than those known to survive. ?? 2009 American Society of Mammalogists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1644/08-MAMM-A-295.1","issn":"00222372","usgsCitation":"O'Shea, T., Ellison, L., Neubaum, D., Neubaum, M., Reynolds, C., and Bowen, R.A., 2010, Recruitment in a Colorado population of big brown bats: Breeding probabilities, litter size, and first-year survival: Journal of Mammalogy, v. 91, no. 2, p. 418-428, https://doi.org/10.1644/08-MAMM-A-295.1.","startPage":"418","endPage":"428","numberOfPages":"11","costCenters":[],"links":[{"id":487919,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/08-mamm-a-295.1","text":"Publisher Index Page"},{"id":217134,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/08-MAMM-A-295.1"},{"id":245053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a353e4b0e8fec6cdb821","contributors":{"authors":[{"text":"O'Shea, T. 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A.","contributorId":80623,"corporation":false,"usgs":false,"family":"Bowen","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":459315,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70037091,"text":"70037091 - 2010 - Life history and demographics of the endangered birdwing pearlymussel (Lemiox rimosus) (Bivalvia: Unionidae)","interactions":[],"lastModifiedDate":"2016-07-08T12:36:28","indexId":"70037091","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Life history and demographics of the endangered birdwing pearlymussel (Lemiox rimosus) (Bivalvia: Unionidae)","docAbstract":"
\n
\n

The life history and population demography of the endangered birdwing pearlymussel (Lemiox rimosus) were studied in the Clinch and Duck rivers, Tennessee. Reproducing populations of L. rimosus now occur only in the Clinch, Duck and Powell rivers, as the species is considered extirpated from the remaining portions of its range in the Tennessee River drainage. Females are long-term winter brooders, typically gravid from Oct. to May. Glochidia are contained in the outer gills and are released in association with a mantle-lure that resembles a small freshwater snail. Estimated fecundity, based on 8 gravid females collected from the Clinch and Duck rivers, ranged from 4132 to 58,700 glochidia/mussel. Seven fish species were tested for suitability as hosts for glochidia, and five darter species were confirmed through induced infestations: Etheostoma blennioides, E. camurum, E. rufilineatum, E. simoterum and E. zonale. Ages of L. rimosus shells were determined by thin-sectioning and ranged from 3 to 15 y in both rivers. Shell growth was higher and maximum size greater in males than females in both rivers. Shell growth was greatest in the Duck River. Densities of L. rimosus in the Clinch River were maintained at seemingly stable but low levels ranging from 0.07 to 0.27 m−2 from 2004–2007, and in the Duck River at similar but higher levels ranging from 0.6 to 1.0 m−2 from 2004–2006. In the latter river, abundance has increased since 1988, likely due to improved minimum flows and dissolved oxygen levels in water releases from a reservoir upstream.

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","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-163.2.335","issn":"00030031","usgsCitation":"Jones, J.W., Neves, R.J., Ahlstedt, S.A., Hubbs, D., Johnson, M., Dan, H., and Ostby, B.J., 2010, Life history and demographics of the endangered birdwing pearlymussel (Lemiox rimosus) (Bivalvia: Unionidae): American Midland Naturalist, v. 163, no. 2, p. 335-350, https://doi.org/10.1674/0003-0031-163.2.335.","productDescription":"16 p.","startPage":"335","endPage":"350","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":245112,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Clinch River, Duck River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.980224609375,\n 37.405073750176946\n ],\n [\n -81.23291015625,\n 37.405073750176946\n ],\n [\n -81.683349609375,\n 37.26530995561875\n ],\n [\n -82.628173828125,\n 37.01132594307015\n ],\n [\n -82.96875,\n 36.84446074079564\n ],\n [\n -83.199462890625,\n 36.721273880045004\n ],\n [\n -83.726806640625,\n 36.633162095586556\n ],\n [\n -83.990478515625,\n 36.53612263184686\n ],\n [\n -84.00146484374999,\n 36.33282808737919\n ],\n [\n -84.012451171875,\n 36.1733569352216\n ],\n [\n -83.94653320312499,\n 36.04021586880111\n ],\n [\n -83.8037109375,\n 35.99578538642032\n ],\n [\n -83.51806640624999,\n 35.98689628443791\n ],\n [\n -83.3203125,\n 35.98689628443791\n ],\n [\n -83.1005859375,\n 35.969115075774845\n ],\n [\n -82.85888671875,\n 36.02244668175846\n ],\n [\n -82.694091796875,\n 36.05798104702501\n ],\n [\n -82.254638671875,\n 36.27085020723905\n ],\n [\n -81.88110351562499,\n 36.46547188679816\n ],\n [\n -81.683349609375,\n 36.50963615733049\n ],\n [\n -81.474609375,\n 36.58906837139909\n ],\n [\n -80.947265625,\n 36.70365959719453\n ],\n [\n -80.870361328125,\n 36.84446074079564\n ],\n [\n -80.870361328125,\n 37.046408899699564\n ],\n [\n -80.980224609375,\n 37.405073750176946\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"163","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4756e4b0c8380cd67826","contributors":{"authors":[{"text":"Jones, Jess W.","contributorId":84279,"corporation":false,"usgs":true,"family":"Jones","given":"Jess","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":459334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neves, Richard J.","contributorId":8909,"corporation":false,"usgs":true,"family":"Neves","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":459329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahlstedt, Steven A. ahlstedt@usgs.gov","contributorId":3957,"corporation":false,"usgs":true,"family":"Ahlstedt","given":"Steven","email":"ahlstedt@usgs.gov","middleInitial":"A.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":459335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hubbs, Don","contributorId":172760,"corporation":false,"usgs":false,"family":"Hubbs","given":"Don","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":459330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Matthew mjjohnson@usgs.gov","contributorId":29536,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","affiliations":[],"preferred":false,"id":459333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dan, Hua","contributorId":172761,"corporation":false,"usgs":false,"family":"Dan","given":"Hua","email":"","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":459331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ostby, Brett J.K.","contributorId":146480,"corporation":false,"usgs":false,"family":"Ostby","given":"Brett","email":"","middleInitial":"J.K.","affiliations":[{"id":16709,"text":"VaTech","active":true,"usgs":false}],"preferred":false,"id":459332,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70037258,"text":"70037258 - 2010 - Identifying sources of stream water sulfate after a summer drought in the Sleepers River watershed (Vermont, USA) using hydrological, chemical, and isotopic techniques","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037258","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Identifying sources of stream water sulfate after a summer drought in the Sleepers River watershed (Vermont, USA) using hydrological, chemical, and isotopic techniques","docAbstract":"In many forested headwater catchments, peak SO42 - concentrations in stream water occur in the late summer or fall following drought potentially resulting in episodic stream acidification. The sources of highly elevated stream water SO42 - concentrations were investigated in a first order stream at the Sleepers River watershed (Vermont, USA) after the particularly dry summer of 2001 using a combination of hydrological, chemical and isotopic approaches. Throughout the summer of 2001 SO42 - concentrations in stream water doubled from ???130 to 270 ??eq/L while flows decreased. Simultaneously increasing Na+ and Ca2+ concentrations and ??34S values increasing from +7??? towards those of bedrock S (???+10.5???) indicated that chemical weathering involving hydrolysis of silicates and oxidation of sulfide minerals in schists and phyllites was the cause for the initial increase in SO42 - concentrations. During re-wetting of the watershed in late September and early October of 2001, increasing stream flows were accompanied by decreasing Na+ and Ca2+ concentrations, but SO42 - concentrations continued to increase up to 568 ??eq/L, indicating that a major source of SO42 - in addition to bedrock weathering contributed to peak SO42 - concentrations. The further increase in SO42 - concentrations coincided with an abrupt decrease of ??34S values in stream water SO42 - from maximum values near +10??? to minimum values near -3???. Soil investigations revealed that some C-horizons in the Spodsols of the watershed contained secondary sulfide minerals with ??34S values near -22???. The shift to negative ??34S values of stream water SO42 - indicates that secondary sulfides in C-horizons were oxidized to SO42 - during the particularly dry summer of 2001. The newly formed SO42 - was transported to the streams during re-wetting of the watershed contributing ???60% of the SO42 - during peak concentrations in the stream water. Thereafter, the contribution of SO42 - from oxidation of secondary sulfides in C-horizons decreased rapidly and pedogenic SO42 - reemerged as a dominant SO42 - source in concert with decreasing SO42 - concentrations in spring of 2002. The study provides evidence that a quantitative assessment of the sources of stream water SO42 - in forested watersheds is possible by combining hydrological, chemical and isotopic techniques, provided that the isotopic compositions of all potential SO42 - sources are distinctly different. ?? 2010 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2010.02.007","issn":"08832927","usgsCitation":"Mayer, B., Shanley, J.B., Bailey, S., and Mitchell, M., 2010, Identifying sources of stream water sulfate after a summer drought in the Sleepers River watershed (Vermont, USA) using hydrological, chemical, and isotopic techniques: Applied Geochemistry, v. 25, no. 5, p. 747-754, https://doi.org/10.1016/j.apgeochem.2010.02.007.","startPage":"747","endPage":"754","numberOfPages":"8","costCenters":[],"links":[{"id":217371,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2010.02.007"},{"id":245316,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3857e4b0c8380cd6152e","contributors":{"authors":[{"text":"Mayer, B.","contributorId":84538,"corporation":false,"usgs":true,"family":"Mayer","given":"B.","email":"","affiliations":[],"preferred":false,"id":460123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, J. 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Driven by population growth, rising demand for seafood and a levelling of production from capture fisheries, the practice of farming aquatic animals has expanded rapidly to become a major global industry. Aquaculture is now integral to the economies of many countries. It has provided employment and been a major driver of socio-economic development in poor rural and coastal communities, particularly in Asia, and has relieved pressure on the sustainability of the natural harvest from our rivers, lakes and oceans. However, the rapid growth of aquaculture has also been the source of anthropogenic change on a massive scale. Aquatic animals have been displaced from their natural environment, cultured in high density, exposed to environmental stress, provided artificial or unnatural feeds, and a prolific global trade has developed in both live aquatic animals and their products. At the same time, over-exploitation of fisheries and anthropogenic stress on aquatic ecosystems has placed pressure on wild fish populations. Not surprisingly, the consequence has been the emergence and spread of an increasing array of new diseases. This review examines the rise and characteristics of aquaculture, the major viral pathogens of fish and shrimp and their impacts, and the particular characteristics of disease emergence in an aquatic, rather than terrestrial, context. It also considers the potential for future disease emergence in aquatic animals as aquaculture continues to expand and faces the challenges presented by climate change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Veterinary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"EDP Sciences","publisherLocation":"France","doi":"10.1051/vetres/2010022","usgsCitation":"Winton, J.R., and Walker, P.J., 2010, Emerging viral diseases of fish and shrimp: Veterinary Research, v. 41, no. 6, p. 51-75, https://doi.org/10.1051/vetres/2010022.","startPage":"51","endPage":"75","numberOfPages":"24","ipdsId":"IP-019740","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":475823,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1051/vetres/2010022","text":"Publisher Index Page"},{"id":269024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1051/vetres/2010022"}],"country":"United States","volume":"41","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-04-23","publicationStatus":"PW","scienceBaseUri":"53cd576ce4b0b290850f776d","contributors":{"authors":[{"text":"Winton, James R. 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":1944,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":474287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Peter J.","contributorId":24658,"corporation":false,"usgs":true,"family":"Walker","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474288,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044496,"text":"70044496 - 2010 - Mid-Piacenzian sea surface temperature record from ODP Site 1115 in the western equatorial Pacific","interactions":[],"lastModifiedDate":"2013-03-18T09:05:49","indexId":"70044496","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Mid-Piacenzian sea surface temperature record from ODP Site 1115 in the western equatorial Pacific","docAbstract":"Planktic foraminifer assemblages and alkenone unsaturation ratios have been analyzed for the mid-Piacen-zian (3.3 to 2.9 Ma) section of Ocean Drilling Program (ODP) Site 1115B, located in the western equatorial Pacific off the coast of New Guinea. Cold and warm season sea surface temperature (SST) estimates were determined using a modern analog technique. ODP Site 1115 is located just south of the transition between the planktic foraminifer tropical and subtropical faunal provinces and approximates the southern boundary of the western equatorial Pacific (WEP) warm pool. Comparison of the faunal and alkenone SST estimates (presented here) with an existing nannofossil climate proxy shows similar trends. Results of this analysis show increased seasonal variability during the middle of the sampled section (3.22 to 3.10 Ma), suggesting a possible northward migration of both the subtropical faunal province and the southern boundary of the WEP warm pool.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Stratigraphy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Micropaleontology Press","publisherLocation":"Flushing, NY","usgsCitation":"Stoll, D., 2010, Mid-Piacenzian sea surface temperature record from ODP Site 1115 in the western equatorial Pacific: Stratigraphy, v. 7, no. 1, p. 1-6.","productDescription":"6 p.","startPage":"1","endPage":"6","additionalOnlineFiles":"N","ipdsId":"IP-017982","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":269646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269645,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/stratigraphy/"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51483796e4b022dd171afea2","contributors":{"authors":[{"text":"Stoll, Danielle","contributorId":34005,"corporation":false,"usgs":true,"family":"Stoll","given":"Danielle","affiliations":[],"preferred":false,"id":475728,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037177,"text":"70037177 - 2010 - Waterfowl ecology and avian influenza in california: Do host traits inform us about viral occurrence?","interactions":[],"lastModifiedDate":"2017-07-02T08:36:46","indexId":"70037177","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":948,"text":"Avian Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Waterfowl ecology and avian influenza in california: Do host traits inform us about viral occurrence?","docAbstract":"We examined whether host traits influenced the occurrence of avian influenza virus (AIV) in Anatidae (ducks, geese, swans) at wintering sites in California's Central Valley. In total, 3487 individuals were sampled at Sacramento National Wildlife Refuge and Conaway Ranch Duck Club during the hunting season of 2007-08. Of the 19 Anatidae species sampled, prevalence was highest in the northern shoveler (5.09%), followed by the ring-necked duck (2.63%), American wigeon (2.57%), bufflehead (2.50%), greater white-fronted goose (2.44%), and cinnamon teal (1.72%). Among host traits, density of lamellae (filtering plates) of dabbling ducks was significantly associated with AIV prevalence and the number of subtypes shed by the host, suggesting that feeding methods may influence exposure to viral particles. ?? 2010 American Association of Avian Pathologists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Avian Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association of Avian Pathologists","doi":"10.1637/8912-043009-Reg.1","issn":"00052086","usgsCitation":"Hill, N., Takekawa, J.Y., Cardona, C., Ackerman, J., Schultz, A., Spragens, K., and Boyce, W., 2010, Waterfowl ecology and avian influenza in california: Do host traits inform us about viral occurrence?: Avian Diseases, v. 54, no. S1, p. 426-432, https://doi.org/10.1637/8912-043009-Reg.1.","productDescription":"7 p.","startPage":"426","endPage":"432","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":244995,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217082,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1637/8912-043009-Reg.1"}],"volume":"54","issue":"S1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf44e4b08c986b32e7f3","contributors":{"authors":[{"text":"Hill, N.J.","contributorId":55655,"corporation":false,"usgs":true,"family":"Hill","given":"N.J.","email":"","affiliations":[],"preferred":false,"id":459758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":459759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cardona, C.J.","contributorId":63654,"corporation":false,"usgs":true,"family":"Cardona","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":459760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":459761,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schultz, A.K.","contributorId":88983,"corporation":false,"usgs":true,"family":"Schultz","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":459762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spragens, K.A.","contributorId":38372,"corporation":false,"usgs":true,"family":"Spragens","given":"K.A.","affiliations":[],"preferred":false,"id":459757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boyce, W.M.","contributorId":12266,"corporation":false,"usgs":true,"family":"Boyce","given":"W.M.","email":"","affiliations":[],"preferred":false,"id":459756,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70043939,"text":"70043939 - 2010 - Introduction: Tagging, telemetry, and marking compendium project","interactions":[],"lastModifiedDate":"2022-12-27T14:58:57.819871","indexId":"70043939","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":205,"text":"PNAMP Report Series","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"2010-002","chapter":"1","title":"Introduction: Tagging, telemetry, and marking compendium project","docAbstract":"

Goal and Objectives of the Compendium

\n

The goal of this compendium is to integrate profiles of on-going, individual, disparate efforts implementing the science of tagging, telemetry, and marking (TTM) into a compilation of experience to inform the development of fish population monitoring. This is accomplished by meeting the following objectives:

\n

• Provide the region with information and peer reviewed analyses to facilitate optimization of the use of TTM technology and designs in a comparable and consistent manner.

\n

• Provide findings that are organized, peer reviewed, and communicated widely.

\n

• Increase the opportunity for data collection to provide more reliable information and result in improved analyses and higher confidence in data analyses for making informed and more relevant decisions.

","largerWorkTitle":"Tagging, telemetry, and marking measures for monitoring fish populations: A compendium of new and recent science for use in informing technique and decision modalities","language":"English","publisher":"Pacific Northwest Aquatic Monitoring Partnership","publisherLocation":"Seattle, WA","usgsCitation":"Wolf, K.S., and Waste, S., 2010, Introduction: Tagging, telemetry, and marking compendium project: PNAMP Report Series 2010-002, 4 p.","productDescription":"4 p.","startPage":"1","endPage":"4","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018295","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":307458,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91b9e4b0518e354dd196","contributors":{"authors":[{"text":"Wolf, Keith S.","contributorId":177730,"corporation":false,"usgs":false,"family":"Wolf","given":"Keith","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":516963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waste, Stephen M. swaste@usgs.gov","contributorId":3837,"corporation":false,"usgs":true,"family":"Waste","given":"Stephen M.","email":"swaste@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":569840,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043941,"text":"70043941 - 2010 - Passage and behavior of radio-tagged adult Pacific lampreys (Entosphenus tridentatus) at the Willamette Falls Project, Oregon.","interactions":[],"lastModifiedDate":"2013-05-07T15:42:54","indexId":"70043941","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Passage and behavior of radio-tagged adult Pacific lampreys (Entosphenus tridentatus) at the Willamette Falls Project, Oregon.","docAbstract":"Populations of Pacific lamprey (Entosphenus tridentatus) in the Columbia River basin have declined and passage problems at dams are a contributing factor. We used radio telemetry to monitor the passage of adult Pacific lampreys at the Willamette Falls Project (a hydroelectric dam integrated into a natural falls) on the Willamette River near Portland, Oregon. In 2005 and 2006, fish were captured at the Project, implanted with a radio tag, and released downstream. We tagged 136 lampreys in 2005 and 107 in 2006. Over 90% of the fish returned to the Project in 7 – 9 h and most were detected from 2000 – 2300 h. In 2005, 43 fish (34%) passed the dam via the fishway, with peak passage in August. No fish passed over the falls, but 13% ascended at least partway up the falls. In 2006, 24 fish (23%) passed the Project using the fishway, with most prior to 9 June when the powerhouse was off. Although 19 lampreys ascended the falls, only two passed via this route. The time for fish to pass through the fishway ranged from 4 – 74 h, depending on route. Many fish stayed in the tailrace for hours to almost a year and eventually moved downstream. Our results indicate that passage of lampreys at the Project is lower than that for lampreys at dams on the Columbia River. Low passage success may result from low river flows, impediments in fishways, delayed tagging effects, changing environmental conditions, or performance or behavioral constraints.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Northwest Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.084.0303","usgsCitation":"Mesa, M.G., Magie, R.J., and Copeland, E.S., 2010, Passage and behavior of radio-tagged adult Pacific lampreys (Entosphenus tridentatus) at the Willamette Falls Project, Oregon.: Northwest Science, v. 84, no. 3, p. 233-242, https://doi.org/10.3955/046.084.0303.","productDescription":"10 p.","startPage":"233","endPage":"242","numberOfPages":"10","additionalOnlineFiles":"N","ipdsId":"IP-019995","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":272043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272042,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3955/046.084.0303"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.633343,45.358297 ], [ -122.633343,45.388445 ], [ -122.578411,45.388445 ], [ -122.578411,45.358297 ], [ -122.633343,45.358297 ] ] ] } } ] }","volume":"84","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a2278e4b061e1bd53348e","contributors":{"authors":[{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magie, Robert J.","contributorId":79978,"corporation":false,"usgs":true,"family":"Magie","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Copeland, Elizabeth S.","contributorId":82415,"corporation":false,"usgs":true,"family":"Copeland","given":"Elizabeth","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":474527,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037047,"text":"70037047 - 2010 - First high-resolution stratigraphic column of the Martian north polar layered deposits","interactions":[],"lastModifiedDate":"2018-11-20T10:49:41","indexId":"70037047","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"First high-resolution stratigraphic column of the Martian north polar layered deposits","docAbstract":"

This study achieves the first high-spatial-resolution, layer-scale, measured stratigraphic column of the Martian north polar layered deposits using a 1m-posting DEM. The marker beds found throughout the upper North Polar Layered Deposits range in thickness from 1.6 m-16.0 m +/-1.4 m, and 6 of 13 marker beds are separated by ???25-35 m. Thin-layer sets have average layer separations of 1.6 m. These layer separations may account for the spectral-power-peaks found in previous brightness-profile analyses. Marker-bed layer thicknesses show a weak trend of decreasing thickness with depth that we interpret to potentially be the result of a decreased accumulation rate in the past, for those layers. However, the stratigraphic column reveals that a simple rhythmic or bundled layer sequence is not immediately apparent throughout the column, implying that the relationship between polar layer formation and cyclic climate forcing is quite complex.

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Rates of whole-system metabolism (production and respiration) are fundamental indicators of ecosystem structure and function. Although first-order, proximal controls are well understood, assessments of the interactions between proximal controls and distal controls, such as land use and geographic region, are lacking. Thus, the influence of land use on stream metabolism across geographic regions is unknown. Further, there is limited understanding of how land use may alter variability in ecosystem metabolism across regions.2. Stream metabolism was measured in nine streams in each of eight regions (n = 72) across the United States and Puerto Rico. In each region, three streams were selected from a range of three land uses: agriculturally influenced, urban-influenced, and reference streams. Stream metabolism was estimated from diel changes in dissolved oxygen concentrations in each stream reach with correction for reaeration and groundwater input.3. Gross primary production (GPP) was highest in regions with little riparian vegetation (sagebrush steppe in Wyoming, desert shrub in Arizona/New Mexico) and lowest in forested regions (North Carolina, Oregon). In contrast, ecosystem respiration (ER) varied both within and among regions. Reference streams had significantly lower rates of GPP than urban or agriculturally influenced streams.4. GPP was positively correlated with photosynthetically active radiation and autotrophic biomass. Multiple regression models compared using Akaike's information criterion (AIC) indicated GPP increased with water column ammonium and the fraction of the catchment in urban and reference land-use categories. Multiple regression models also identified velocity, temperature, nitrate, ammonium, dissolved organic carbon, GPP, coarse benthic organic matter, fine benthic organic matter and the fraction of all land-use categories in the catchment as regulators of ER.5. Structural equation modelling indicated significant distal as well as proximal control pathways including a direct effect of land-use on GPP as well as SRP, DIN, and PAR effects on GPP; GPP effects on autotrophic biomass, organic matter, and ER; and organic matter effects on ER.6. Overall, consideration of the data separated by land-use categories showed reduced inter-regional variability in rates of metabolism, indicating that the influence of agricultural and urban land use can obscure regional differences in stream metabolism. ?? 2010 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2427.2010.02422.x","issn":"00465070","usgsCitation":"Bernot, M.J., Sobota, D.J., Hall, R., Mulholland, P.J., Dodds, W.K., Webster, J., Tank, J.L., Ashkenas, L., Cooper, L.W., Dahm, C., Gregory, S., Grimm, N.B., Hamilton, S.K., Johnson, S.L., McDowell, W.H., Meyer, J., Peterson, B., Poole, G.C., Maurice, V.H., Arango, C., Beaulieu, J.J., Burgin, A.J., Crenshaw, C., Helton, A.M., Johnson, L., Merriam, J., Niederlehner, B., O’Brien, J.M., Potter, J.D., Sheibley, R., Thomas, S.M., and Wilson, K., 2010, Inter-regional comparison of land-use effects on stream metabolism: Freshwater Biology, v. 55, no. 9, p. 1874-1890, https://doi.org/10.1111/j.1365-2427.2010.02422.x.","startPage":"1874","endPage":"1890","numberOfPages":"17","costCenters":[],"links":[{"id":246042,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218062,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2010.02422.x"}],"volume":"55","issue":"9","noUsgsAuthors":false,"publicationDate":"2010-08-15","publicationStatus":"PW","scienceBaseUri":"505a3ca3e4b0c8380cd62ee6","contributors":{"authors":[{"text":"Bernot, M. J.","contributorId":18593,"corporation":false,"usgs":false,"family":"Bernot","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":461689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sobota, D. J.","contributorId":15419,"corporation":false,"usgs":false,"family":"Sobota","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":461688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, R.O.","contributorId":94890,"corporation":false,"usgs":true,"family":"Hall","given":"R.O.","affiliations":[],"preferred":false,"id":461714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mulholland, P. J.","contributorId":89081,"corporation":false,"usgs":false,"family":"Mulholland","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":461711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dodds, W. 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Few studies, however, have empirically estimated this relationship particularly in large mammals. We applied hierarchical Bayesian methods to a 19-year dataset of over 6400 brucellosis tests of adult female elk (Cervus elaphus) in northwestern Wyoming. Management captures that occurred from January to March were over two times more likely to be seropositive than hunted elk that were killed in September to December, while accounting for site and year effects. Areas with supplemental feeding grounds for elk had higher seroprevalence in 1991 than other regions, but by 2009 many areas distant from the feeding grounds were of comparable seroprevalence. The increases in brucellosis seroprevalence were correlated with elk densities at the elk management unit, or hunt area, scale (mean 2070 km2; range = [95–10237]). The data, however, could not differentiate among linear and non-linear effects of host density. Therefore, control efforts that focus on reducing elk densities at a broad spatial scale were only weakly supported. Additional research on how a few, large groups within a region may be driving disease dynamics is needed for more targeted and effective management interventions. Brucellosis appears to be expanding its range into new regions and elk populations, which is likely to further complicate the United States brucellosis eradication program. This study is an example of how the dynamics of host populations can affect their ability to serve as disease reservoirs.","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0010322","usgsCitation":"Cross, P.C., Heisey, D.M., Scurlock, B.M., Edwards, W.H., Brennan, A., and Ebinger, M.R., 2010, Mapping brucellosis increases relative to elk density using hierarchical Bayesian models: PLoS ONE, v. 5, no. 4, p. 1-9, https://doi.org/10.1371/journal.pone.0010322.","productDescription":"e10322; 9 p.","startPage":"1","endPage":"9","additionalOnlineFiles":"N","ipdsId":"IP-015864","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":488145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0010322","text":"Publisher Index Page"},{"id":268747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268742,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0010322"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.01,40.91 ], [ -111.01,44.87 ], [ -108.04,44.87 ], [ -108.04,40.91 ], [ -111.01,40.91 ] ] ] } } ] }","volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-23","publicationStatus":"PW","scienceBaseUri":"51372205e4b02ab8869bffe8","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heisey, Dennis M. dheisey@usgs.gov","contributorId":2455,"corporation":false,"usgs":true,"family":"Heisey","given":"Dennis","email":"dheisey@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":474812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":474817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, William H.","contributorId":9144,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":474815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brennan, Angela","contributorId":40871,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","affiliations":[],"preferred":false,"id":474816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ebinger, Michael R. mebinger@usgs.gov","contributorId":5771,"corporation":false,"usgs":true,"family":"Ebinger","given":"Michael","email":"mebinger@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474814,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034123,"text":"70034123 - 2010 - Regional seismic stratigraphy and controls on the Quaternary evolution of the Cape Hatteras region of the Atlantic passive margin, USA","interactions":[],"lastModifiedDate":"2017-08-16T10:25:21","indexId":"70034123","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Regional seismic stratigraphy and controls on the Quaternary evolution of the Cape Hatteras region of the Atlantic passive margin, USA","docAbstract":"Seismic and core data, combined with amino acid racemization and strontium-isotope age data, enable the definition of the Quaternary stratigraphic framework and recognition of geologic controls on the development of the modern coastal system of North Carolina, U.S.A. Seven regionally continuous high amplitude reflections are defined which bound six seismic stratigraphic units consisting of multiple regionally discontinuous depositional sequences and parasequence sets, and enable an understanding of the evolution of this margin. Data reveal the progressive eastward progradation and aggradation of the Quaternary shelf. The early Pleistocene inner shelf occurs at a depth of ca. 20-40 m beneath the western part of the modern estuarine system (Pamlico Sound). A mid- to outer shelf lowstand terrace (also early Pleistocene) with shelf sand ridge deposits comprising parasequence sets within a transgressive systems tract, occurs at a deeper level (ca. 45-70 m) beneath the modern barrier island system (the Outer Banks) and northern Pamlico Sound. Seismic and foraminiferal paleoenvironmental data from cores indicate the occurrence of lowstand strandplain shoreline deposits on the early to middle Pleistocene shelf. Middle to late Pleistocene deposits occur above a prominent unconformity and marine flooding surface that truncates underlying units, and contain numerous filled fluvial valleys that are incised into the early and middle Pleistocene deposits. The stratigraphic framework suggests margin progradation and aggradation modified by an increase in the magnitude of sea-level fluctuations during the middle to late Pleistocene, expressed as falling stage, lowstand, transgressive and highstand systems tracts. Thick stratigraphic sequences occur within the middle Pleistocene section, suggesting the occurrence of high capacity fluvial point sources debouching into the area from the west and north. Furthermore, the antecedent topography plays a significant role in the evolution of the geomorphology and stratigraphy of this marginal system. ?? 2009 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.margeo.2009.10.007","issn":"00253227","usgsCitation":"Mallinson, D.J., Culver, S., Riggs, S., Thieler, E., Foster, D., Wehmiller, J., Farrell, K., and Pierson, J., 2010, Regional seismic stratigraphy and controls on the Quaternary evolution of the Cape Hatteras region of the Atlantic passive margin, USA: Marine Geology, v. 268, no. 1-4, p. 16-33, https://doi.org/10.1016/j.margeo.2009.10.007.","productDescription":"18 p.","startPage":"16","endPage":"33","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244642,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216756,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2009.10.007"}],"volume":"268","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a559e4b0e8fec6cdbe0a","contributors":{"authors":[{"text":"Mallinson, D. J.","contributorId":71745,"corporation":false,"usgs":true,"family":"Mallinson","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":444209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, S.J.","contributorId":53970,"corporation":false,"usgs":true,"family":"Culver","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":444208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riggs, S.R.","contributorId":29807,"corporation":false,"usgs":true,"family":"Riggs","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":444206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thieler, E.R. 0000-0003-4311-9717","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":93082,"corporation":false,"usgs":true,"family":"Thieler","given":"E.R.","affiliations":[],"preferred":false,"id":444210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, D.","contributorId":36892,"corporation":false,"usgs":true,"family":"Foster","given":"D.","email":"","affiliations":[],"preferred":false,"id":444207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wehmiller, J.","contributorId":20997,"corporation":false,"usgs":true,"family":"Wehmiller","given":"J.","email":"","affiliations":[],"preferred":false,"id":444205,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Farrell, K.M.","contributorId":106573,"corporation":false,"usgs":true,"family":"Farrell","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":444211,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pierson, J.","contributorId":7536,"corporation":false,"usgs":true,"family":"Pierson","given":"J.","affiliations":[],"preferred":false,"id":444204,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70037203,"text":"70037203 - 2010 - Pollutant fate and spatio-temporal variability in the choptank river estuary: Factors influencing water quality","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70037203","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Pollutant fate and spatio-temporal variability in the choptank river estuary: Factors influencing water quality","docAbstract":"Restoration of the Chesapeake Bay, the largest estuary in the United States, is a national priority. Documentation of progress of this restoration effort is needed. A study was conducted to examine water quality in the Choptank River estuary, a tributary of the Chesapeake Bay that since 1998 has been classified as impaired waters under the Federal Clean Water Act. Multiple water quality parameters (salinity, temperature, dissolved oxygen, chlorophyll a) and analyte concentrations (nutrients, herbicide and herbicide degradation products, arsenic, and copper) were measured at seven sampling stations in the Choptank River estuary. Samples were collected under base flow conditions in the basin on thirteen dates between March 2005 and April 2008. As commonly observed, results indicate that agriculture is a primary source of nitrate in the estuary and that both agriculture and wastewater treatment plants are important sources of phosphorus. Concentrations of copper in the lower estuary consistently exceeded both chronic and acute water quality criteria, possibly due to use of copper in antifouling boat paint. Concentrations of copper in the upstream watersheds were low, indicating that agriculture is not a significant source of copper loading to the estuary. Concentrations of herbicides (atrazine, simazine, and metolachlor) peaked during early-summer, indicating a rapid surface-transport delivery pathway from agricultural areas, while their degradation products (CIAT, CEAT, MESA, and MOA) appeared to be delivered via groundwater transport. Some in-river processing of CEAT occurred, whereas MESA was conservative. Observed concentrations of herbicide residues did not approach established levels of concern for aquatic organisms. Results of this study highlight the importance of continued implementation of best management practices to improve water quality in the estuary. This work provides a baseline against which to compare future changes in water quality and may be used to design future monitoring programs needed to assess restoration strategy efficacy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.scitotenv.2010.01.006","issn":"00489697","usgsCitation":"Whitall, D., Hively, W., Leight, A., Hapeman, C., McConnell, L., Fisher, T., Rice, C., Codling, E., McCarty, G., Sadeghi, A., Gustafson, A., and Bialek, K., 2010, Pollutant fate and spatio-temporal variability in the choptank river estuary: Factors influencing water quality: Science of the Total Environment, v. 408, no. 9, p. 2096-2108, https://doi.org/10.1016/j.scitotenv.2010.01.006.","startPage":"2096","endPage":"2108","numberOfPages":"13","costCenters":[],"links":[{"id":217023,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2010.01.006"},{"id":244933,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"408","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7cdee4b0c8380cd79c14","contributors":{"authors":[{"text":"Whitall, D.","contributorId":66973,"corporation":false,"usgs":true,"family":"Whitall","given":"D.","email":"","affiliations":[],"preferred":false,"id":459883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hively, W.D.","contributorId":78996,"corporation":false,"usgs":true,"family":"Hively","given":"W.D.","affiliations":[],"preferred":false,"id":459886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leight, A.K.","contributorId":6732,"corporation":false,"usgs":true,"family":"Leight","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":459876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hapeman, C.J.","contributorId":40481,"corporation":false,"usgs":true,"family":"Hapeman","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":459881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McConnell, L.L.","contributorId":53344,"corporation":false,"usgs":true,"family":"McConnell","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":459882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, T.","contributorId":38854,"corporation":false,"usgs":true,"family":"Fisher","given":"T.","email":"","affiliations":[],"preferred":false,"id":459880,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, C.P.","contributorId":81065,"corporation":false,"usgs":true,"family":"Rice","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":459887,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Codling, E.","contributorId":33592,"corporation":false,"usgs":true,"family":"Codling","given":"E.","affiliations":[],"preferred":false,"id":459879,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCarty, G.W.","contributorId":24533,"corporation":false,"usgs":true,"family":"McCarty","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":459878,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sadeghi, A.M.","contributorId":72268,"corporation":false,"usgs":true,"family":"Sadeghi","given":"A.M.","affiliations":[],"preferred":false,"id":459885,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gustafson, A.","contributorId":21834,"corporation":false,"usgs":true,"family":"Gustafson","given":"A.","email":"","affiliations":[],"preferred":false,"id":459877,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bialek, K.","contributorId":68014,"corporation":false,"usgs":true,"family":"Bialek","given":"K.","affiliations":[],"preferred":false,"id":459884,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70036184,"text":"70036184 - 2010 - Establishing the Antarctic Dome C community reference standard site towards consistent measurements from Earth observation satellites","interactions":[],"lastModifiedDate":"2013-05-12T21:39:11","indexId":"70036184","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Establishing the Antarctic Dome C community reference standard site towards consistent measurements from Earth observation satellites","docAbstract":"Establishing satellite measurement consistency by using common desert sites has become increasingly more important not only for climate change detection but also for quantitative retrievals of geophysical variables in satellite applications. Using the Antarctic Dome C site (75°06′S, 123°21′E, elevation 3.2 km) for satellite radiometric calibration and validation (Cal/Val) is of great interest owing to its unique location and characteristics. The site surface is covered with uniformly distributed permanent snow, and the atmospheric effect is small and relatively constant. In this study, the long-term stability and spectral characteristics of this site are evaluated using well-calibrated satellite instruments such as the Moderate Resolution Imaging Spectroradiometer (MODIS) and Sea-viewing Wide Field-of-view Sensor (SeaWiFS). Preliminary results show that despite a few limitations, the site in general is stable in the long term, the bidirectional reflectance distribution function (BRDF) model works well, and the site is most suitable for the Cal/Val of reflective solar bands in the 0.4–1.0 µm range. It was found that for the past decade, the reflectivity change of the site is within 1.35% at 0.64 µm, and interannual variability is within 2%. The site is able to resolve calibration biases between instruments at a level of ~1%. The usefulness of the site is demonstrated by comparing observations from seven satellite instruments involving four space agencies, including OrbView-2–SeaWiFS, Terra–Aqua MODIS, Earth Observing 1 (EO-1) – Hyperion, Meteorological Operational satellite programme (MetOp) – Advanced Very High Resolution Radiometer (AVHRR), Envisat Medium Resolution Imaging Spectrometer (MERIS) – dvanced Along-Track Scanning Radiometer (AATSR), and Landsat 7 Enhanced Thematic Mapper Plus (ETM+). Dome C is a promising candidate site for climate quality calibration of satellite radiometers towards more consistent satellite measurements, as part of the framework for climate change detection and data quality assurance for the Global Earth Observation System of Systems (GEOSS).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Canadian Remote Sensing Society","doi":"10.5589/m10-075","issn":"07038992","usgsCitation":"Cao, C., Uprety, S., Xiong, J., Wu, A., Jing, P., Smith, D., Chander, G., Fox, N., and Ungar, S., 2010, Establishing the Antarctic Dome C community reference standard site towards consistent measurements from Earth observation satellites: Canadian Journal of Remote Sensing, v. 36, no. 5, p. 498-513, https://doi.org/10.5589/m10-075.","productDescription":"16 p.","startPage":"498","endPage":"513","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":218572,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5589/m10-075"},{"id":246595,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"505a0a64e4b0c8380cd52338","contributors":{"authors":[{"text":"Cao, C.","contributorId":37944,"corporation":false,"usgs":true,"family":"Cao","given":"C.","email":"","affiliations":[],"preferred":false,"id":454680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uprety, S.","contributorId":65345,"corporation":false,"usgs":true,"family":"Uprety","given":"S.","affiliations":[],"preferred":false,"id":454686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiong, J.","contributorId":58472,"corporation":false,"usgs":true,"family":"Xiong","given":"J.","email":"","affiliations":[],"preferred":false,"id":454684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, A.","contributorId":44019,"corporation":false,"usgs":true,"family":"Wu","given":"A.","email":"","affiliations":[],"preferred":false,"id":454682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jing, P.","contributorId":38859,"corporation":false,"usgs":true,"family":"Jing","given":"P.","email":"","affiliations":[],"preferred":false,"id":454681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, D.","contributorId":60978,"corporation":false,"usgs":true,"family":"Smith","given":"D.","affiliations":[],"preferred":false,"id":454685,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":454683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fox, N.","contributorId":90905,"corporation":false,"usgs":true,"family":"Fox","given":"N.","email":"","affiliations":[],"preferred":false,"id":454687,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ungar, S.","contributorId":15413,"corporation":false,"usgs":true,"family":"Ungar","given":"S.","affiliations":[],"preferred":false,"id":454679,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70044789,"text":"70044789 - 2010 - Mineral resource of the Month: Clay","interactions":[],"lastModifiedDate":"2013-03-25T10:15:15","indexId":"70044789","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the Month: Clay","docAbstract":"Clays were one of the first mineral commodities used by people. Clay pottery has been found in archeological sites that are 12,000 years old, and clay figurines have been found in sites that are even older.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geosciences Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Virta, R.L., 2010, Mineral resource of the Month: Clay: Earth, v. 2010, no. December, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","numberOfPages":"1","ipdsId":"IP-024188","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":269986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269982,"type":{"id":11,"text":"Document"},"url":"https://www.agiweb.org/store/earth/backissues/imprint.php?ID=MjAxMC0xMi0xMjkyOTE4OTEzLjQ3"}],"volume":"2010","issue":"December","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5151720ce4b087909f0bbef8","contributors":{"authors":[{"text":"Virta, Robert L. rvirta@usgs.gov","contributorId":395,"corporation":false,"usgs":true,"family":"Virta","given":"Robert","email":"rvirta@usgs.gov","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476314,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046765,"text":"70046765 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Normalized Atmospheric Deposition for 2002, Total Inorganic Nitrogen","interactions":[],"lastModifiedDate":"2013-11-25T16:07:18","indexId":"70046765","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-27","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Normalized Atmospheric Deposition for 2002, Total Inorganic Nitrogen","docAbstract":"This tabular data set represents the average normalized atmospheric (wet) deposition, in kilograms per square kilometer multiplied by 100, of Total Inorganic Nitrogen for the year 2002 compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). Estimates of Total Inorganic Nitrogen deposition are based on National Atmospheric Deposition Program (NADP) measurements (B. Larsen, U.S. Geological Survey, written. commun., 2007). De-trending methods applied to the year 2002 are described in Alexander and others, 2001. NADP site selection met the following criteria: stations must have records from 1995 to 2002 and have a minimum of 30 observations. The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046765","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Normalized Atmospheric Deposition for 2002, Total Inorganic Nitrogen: U.S. Geological Survey Data Series 491-27, Dataset, https://doi.org/10.3133/70046765.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274431,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_tin.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f663e4b09630fbdc5279","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480191,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043692,"text":"70043692 - 2010 - Pathological and immunological responses associated with differential survival of Chinook salmon following Renibacterium salmoninarum challenge","interactions":[],"lastModifiedDate":"2016-11-04T09:03:26","indexId":"70043692","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Pathological and immunological responses associated with differential survival of Chinook salmon following Renibacterium salmoninarum challenge","docAbstract":"

Chinook salmon Oncorhynchus tshawytscha are highly susceptible to Renibacterium salmoninarum, the causative agent of bacterial kidney disease (BKD). Previously we demonstrated that introduced Chinook salmon from Lake Michigan, Wisconsin (WI), USA, have higher survival following R. salmoninarum challenge relative to the progenitor stock from Green River, Washington, USA. In the present study, we investigated the pathological and immunological responses that are associated with differential survival in the 2 Chinook salmon stocks following intra-peritoneal R. salmoninarum challenge of 2 different cohort years (2003 and 2005). Histological evaluation revealed delayed appearance of severe granulomatous lesions in the kidney and lower overall prevalence of membranous glomerulopathy in the higher surviving WI stock. The higher survival WI stock had a lower bacterial load at 28 d post-infection, as measured by reverse-transcriptase quantitative polymerase chain reaction (RT-qPCR). However, at all other time points, bacterial load levels were similar despite higher mortality in the more susceptible Green River stock, suggesting the possibility that the stocks may differ in their tolerance to infection by the bacterium. Interferon-γ, inducible nitric oxide synthase (iNOS), Mx-1, and transferrin gene expression were up-regulated in both stocks following challenge. A trend of higher iNOS gene expression at later time points (≥28 d post-infection) was observed in the lower surviving Green River stock, suggesting the possibility that higher iNOS expression may contribute to greater pathology in that stock.

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