{"pageNumber":"707","pageRowStart":"17650","pageSize":"25","recordCount":68919,"records":[{"id":70006193,"text":"sir20115185 - 2011 - Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08","interactions":[],"lastModifiedDate":"2018-07-07T18:16:27","indexId":"sir20115185","displayToPublicDate":"2011-12-04T08:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5185","title":"Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08","docAbstract":"The Chokosna, Gilahina, and Lakina River basins, and the Long Lake watershed are located along McCarthy Road in Wrangell–St. Elias National Park and Preserve. The rivers and lake support a large run of sockeye (red) salmon that is important to the commercial and recreational fisheries in the larger Copper River. To gain a better understanding of the water quality conditions of these watersheds, these basins were studied as part of a cooperative study with the National Park Service during the open water periods in 2007 and 2008.  Water type of the rivers and Long Lake is calcium bicarbonate with the exception of that in the Chokosna River, which is calcium bicarbonate sulfate water. Alkalinity concentrations ranged from 63 to 222 milligrams per liter, indicating a high buffering capacity in these waters. Analyses of streambed sediments indicated that concentrations of the trace elements arsenic, chromium, and nickel exceed levels that might be toxic to fish and other aquatic organisms. However, these concentrations reflect local geology rather than anthropogenic sources in this nearly pristine area.  Benthic macroinvertebrate qualitative multi-habitat and richest targeted habitat samples collected from six stream sites along McCarthy Road indicated a total of 125 taxa. Insects made up the largest percentage of macroinvertebrates, totaling 83 percent of the families found. Dipterans (flies and midges) accounted for 43 percent of all macroinvertebrates found. Analysis of the macroinvertebrate data by non-metric multidimensional scaling indicated differences between (1) sites at Long Lake and other stream sites along McCarthy Road, likely due to different basin characteristics, (2) the 2007 and 2008 data, probably from the higher rainfall in 2008, and (3) macroinvertebrate data collected in south-central Alaska, which represents a different climate zone. The richness, abundance, and community composition of periphytic algae taxa was variable between sampling sites. Taxa richness and diversity were highest at the Long Lake outflow site, suggesting that the lake may have contributed planktonic taxa to the periphytic community and (or) created physical and chemical conditions at the outlet that were favorable to a variety of taxa.  Long Lake is fed by groundwater and by clear water (non glacial) streams, resulting in relatively high Secchi-disc readings ranging from 17.5 to 23 feet. Depth profiles of water temperature in the lake show a strong stratification during the summer from the surface to about 13 feet, with temperatures ranging from 16 to 5 °C. Depth profiles of dissolved oxygen in the lake show a strong stratification between 26 and 33 feet, below which the concentrations of dissolved oxygen decrease from 10 to 2 milligrams per liter. Because the Long Lake outlet stream supports a large run of sockeye salmon and water temperature is an important factor during its life cycle, a logistic model was used to simulate 1998–2006 water temperatures at this site. Analysis of simulation results for 1998–2008 indicated no significant trends in water temperature. 2007 water temperatures were the highest during the 10-year period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115185","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Brabets, T.P., Ourso, R.T., Miller, M.P., and Brasher, A.M., 2011, Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08: U.S. Geological Survey Scientific Investigations Report 2011-5185, viii, 56 p., https://doi.org/10.3133/sir20115185.","productDescription":"viii, 56 p.","numberOfPages":"68","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":111028,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5185/","linkFileType":{"id":5,"text":"html"}},{"id":116750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5185.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chokosna River;Gilahina River;Lakina River;Long Lake Watershed;Wrangell-st.Elias National Park And Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -146.83333333333334,59.166666666666664 ], [ -146.83333333333334,62.833333333333336 ], [ -137.83333333333334,62.833333333333336 ], [ -137.83333333333334,59.166666666666664 ], [ -146.83333333333334,59.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc8e2e4b08c986b32cb6e","contributors":{"authors":[{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":354047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ourso, Robert T. 0000-0002-5952-8681 rtourso@usgs.gov","orcid":"https://orcid.org/0000-0002-5952-8681","contributorId":203207,"corporation":false,"usgs":true,"family":"Ourso","given":"Robert","email":"rtourso@usgs.gov","middleInitial":"T.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":354049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brasher, Anne M. D. abrasher@usgs.gov","contributorId":1715,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne","email":"abrasher@usgs.gov","middleInitial":"M. D.","affiliations":[],"preferred":true,"id":354046,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70006138,"text":"sir20115176 - 2011 - Using observed postconstruction peak discharges to evaluate a hydrologic and hydraulic design model, Boneyard Creek, Champaign and Urbana, Illinois","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20115176","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5176","title":"Using observed postconstruction peak discharges to evaluate a hydrologic and hydraulic design model, Boneyard Creek, Champaign and Urbana, Illinois","docAbstract":"Boneyard Creek—which drains an urbanized watershed in the cities of Champaign and Urbana, Illinois, including part of the University of Illinois at Urbana-Champaign (UIUC) campus—has historically been prone to flooding. Using the Stormwater Management Model (SWMM), a hydrologic and hydraulic model of Boneyard Creek was developed for the design of the projects making up the first phase of a long-term plan for flood control on Boneyard Creek, and the construction of the projects was completed in May 2003. The U.S. Geological Survey, in cooperation with the Cities of Champaign and Urbana and UIUC, installed and operated stream and rain gages in order to obtain data for evaluation of the design-model simulations. In this study, design-model simulations were evaluated by using observed postconstruction precipitation and peak-discharge data.  Between May 2003 and September 2008, five high-flow events on Boneyard Creek satisfied the study criterion. The five events were simulated with the design model by using observed precipitation. The simulations were run with two different values of the parameter controlling the soil moisture at the beginning of the storms and two different ways of spatially distributing the precipitation, making a total of four simulation scenarios. The simulated and observed peak discharges and stages were compared at gaged locations along the Creek. The discharge at one of these locations was deemed to be critical for evaluating the design model. The uncertainty of the measured peak discharge was also estimated at the critical location with a method based on linear regression of the stage and discharge relation, an estimate of the uncertainty of the acoustic Doppler velocity meter measurements, and the uncertainty of the stage measurements.  For four of the five events, the simulated peak discharges lie within the 95-percent confidence interval of the observed peak discharges at the critical location; the fifth was just outside the upper end of this interval. For two of the four simulation scenarios, the simulation results for one event at the critical location were numerically unstable in the vicinity of the discharge peak. For the remaining scenarios, the simulated peak discharges over the five events at the critical location differ from the observed peak discharges (simulated minus observed) by an average of 7.7 and -1.5 percent, respectively. The simulated peak discharges over the four events for which all scenarios have numerically stable results at the critical location differs from the observed peak discharges (simulated minus observed) by an average of -6.8, 4.0, -5.4, and 1.5 percent, for the four scenarios, respectively. Overall, the discharge peaks simulated for this study at the critical location are approximately balanced between overprediction and underprediction and do not indicate significant model bias or inaccuracy. Additional comparisons were made by using peak stages at the critical location and two additional sites and using peak discharges at one additional site. These comparisons showed the same pattern of differences between observed and simulated values across events but varying biases depending on streamgage and measurement type (discharge or stage). Altogether, the results from this study show no clear evidence that the design model is significantly inaccurate or biased and, therefore, no clear evidence that the modeled flood-control projects in Champaign and on the University of Illinois campus have increased flood stages or discharges downstream in Urbana.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115176","collaboration":"Prepared in cooperation with the City of Champaign, Illinois, the City of Urbana, Illinois, and the University of Illinois at Urbana-Champaign","usgsCitation":"Over, T.M., Soong, D., and Holmes, R.R., 2011, Using observed postconstruction peak discharges to evaluate a hydrologic and hydraulic design model, Boneyard Creek, Champaign and Urbana, Illinois: U.S. Geological Survey Scientific Investigations Report 2011-5176, vi, 37 p., https://doi.org/10.3133/sir20115176.","productDescription":"vi, 37 p.","onlineOnly":"Y","temporalStart":"2003-05-01","temporalEnd":"2008-09-30","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":110983,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5176/","linkFileType":{"id":5,"text":"html"}},{"id":116683,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5176.jpg"}],"country":"United States","state":"Illinois","city":"Champaign-urbana","otherGeospatial":"Boneyard Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.26666666666667,40.08416666666667 ], [ -88.26666666666667,40.13333333333333 ], [ -88.18361111111112,40.13333333333333 ], [ -88.18361111111112,40.08416666666667 ], [ -88.26666666666667,40.08416666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602eae","contributors":{"authors":[{"text":"Over, Thomas M. 0000-0001-8280-4368 tmover@usgs.gov","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":1819,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"tmover@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":353919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":353917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005230,"text":"70005230 - 2011 - Secretion of anti-M&#252;llerian hormone in the Florida manatee <i>Trichechus manatus latirostris</i>, with implications for assessing conservation status","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"70005230","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Secretion of anti-M&#252;llerian hormone in the Florida manatee <i>Trichechus manatus latirostris</i>, with implications for assessing conservation status","docAbstract":"Environmental and anthropogenic stressors can affect wildlife populations in a number of ways. For marine mammals (e.g. the Florida manatee <i>Trichechus manatus latirostris</i>), certain stressors or conservation risk factors have been identified, but sublethal effects have been very difficult to assess using traditional methods. The development of 'biomarkers' allows us to correlate effects, such as impaired reproduction, with possible causes. A recently developed biomarker (anti-M&#252;llerian hormone, AMH) provides an enzyme-linked immunosorbent assay of gonadal function. The study objective was to determine AMH levels in wild manatees. In total, 28 male and 17 female manatee serum samples were assayed. Animal demographics included collection date, body weight (kg) and total length (cm). In certain cases, age of individuals was also known. AMH levels ranged from 160 to 2451.85 ng ml<sup>-1</sup> (mean = 844.65 ng ml<sup>-1</sup>) in males and 0.00 to 0.38 ng ml<sup>-1</sup> (mean = 0.10 ng ml-1) in females. Linear regression analyses revealed a significant relationship between male AMH levels and body weight (R<sup>2</sup> = 0.452; p < 0.001) and length (R<sup>2</sup> = 0.338; p < 0.001). Due to the small sample size, regression analyses for female AMH and body weight and length were not significant. This represents the first report of AMH detection in a marine mammal. AMH levels in male manatees are the highest of any species observed to date, whereas levels in females are within reported ranges. Further studies will promote improved conservation decision by assessing AMH levels in the manatee as a function of various stressors including, but not limited to, nutritional status, serious injuries (e.g. watercraft collisions), exposure to biotoxins or contaminants, or disease.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Endangered Species Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research Science Center","publisherLocation":"Oldendorf/Luhe, Germany","usgsCitation":"Wilson, R.C., Reynolds, J., Wetzel, D.L., Schwierzke-Wade, L., Bonde, R.K., Breuel, K.F., and Roudebush, W.E., 2011, Secretion of anti-M&#252;llerian hormone in the Florida manatee <i>Trichechus manatus latirostris</i>, with implications for assessing conservation status: Endangered Species Research, v. 14, no. 2, p. 107-112.","productDescription":"6 p.","startPage":"107","endPage":"112","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":110986,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.int-res.com/abstracts/esr/v14/n2/p107-112/","linkFileType":{"id":5,"text":"html"}},{"id":204233,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"14","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fc255","contributors":{"authors":[{"text":"Wilson, Rhian C.","contributorId":27990,"corporation":false,"usgs":true,"family":"Wilson","given":"Rhian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":352111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, John E. III","contributorId":72515,"corporation":false,"usgs":true,"family":"Reynolds","given":"John E.","suffix":"III","affiliations":[],"preferred":false,"id":352115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wetzel, Dana L.","contributorId":38272,"corporation":false,"usgs":true,"family":"Wetzel","given":"Dana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":352113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwierzke-Wade, Leslie","contributorId":18892,"corporation":false,"usgs":true,"family":"Schwierzke-Wade","given":"Leslie","affiliations":[],"preferred":false,"id":352110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":352109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breuel, Kevin F.","contributorId":28732,"corporation":false,"usgs":true,"family":"Breuel","given":"Kevin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":352112,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roudebush, William E.","contributorId":45445,"corporation":false,"usgs":true,"family":"Roudebush","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":352114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70006139,"text":"sir20115200 - 2011 - Trends in suspended-sediment loads and concentrations in the Mississippi River Basin, 1950&ndash;2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20115200","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5200","title":"Trends in suspended-sediment loads and concentrations in the Mississippi River Basin, 1950&ndash;2009","docAbstract":"Trends in loads and concentrations of suspended sediment and suspended sand generally were downward for stations within the Mississippi River Basin during the 60-, 34-, and 12-year periods analyzed. Sediment transport in the lower Mississippi River has historically been, and continues to be, most closely correlative to sediment contributions from the Missouri River, which generally carried the largest annual suspended-sediment load of the major Mississippi River subbasins. The closure of Fort Randall Dam in the upper Missouri River in 1952 was the single largest event in the recorded historical decline of suspended-sediment loads in the Mississippi River Basin. Impoundments on tributaries and sediment reductions as a result of implementation of agricultural conservation practices throughout the basin likely account for much of the remaining Mississippi River sediment transport decline. Scour of the main-stem channel downstream from the upper Missouri River impoundments is likely the largest source of suspended sand in the lower Missouri River. The Ohio River was second to the Missouri River in terms of sediment contributions, followed by the upper Mississippi and Arkansas Rivers. Declines in sediment loads and concentrations continued through the most recent analysis period (1998&ndash;2009) at available Mississippi River Basin stations. Analyses of flow-adjusted concentrations of suspended sediment indicate the recent downward temporal changes generally can be explained by corresponding decreases in streamflows.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115200","collaboration":"Prepared in cooperation with the National Water-Quality Assessment Program","usgsCitation":"Heimann, D.C., Sprague, L.A., and Blevins, D.W., 2011, Trends in suspended-sediment loads and concentrations in the Mississippi River Basin, 1950&ndash;2009: U.S. Geological Survey Scientific Investigations Report 2011-5200, vi, 33 p., https://doi.org/10.3133/sir20115200.","productDescription":"vi, 33 p.","onlineOnly":"Y","temporalStart":"1950-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":116682,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5200.jpg"},{"id":110984,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5200/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,26 ], [ -120,48 ], [ -70,48 ], [ -70,26 ], [ -120,26 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db624a69","contributors":{"authors":[{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":353920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blevins, Dale W. dblevins@usgs.gov","contributorId":2729,"corporation":false,"usgs":true,"family":"Blevins","given":"Dale","email":"dblevins@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":353921,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004882,"text":"70004882 - 2011 - Sediment infilling and wetland formation dynamics in an active crevasse splay of the Mississippi River delta","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"70004882","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Sediment infilling and wetland formation dynamics in an active crevasse splay of the Mississippi River delta","docAbstract":"Crevasse splay environments provide a mesocosm for evaluating wetland formation and maintenance processes on a decadal time scale. Site elevation, water levels, vertical accretion, elevation change, shallow subsidence, and plant biomass were measured at five habitats along an elevation gradient to evaluate wetland formation and development in Brant Pass Splay; an active crevasse splay of the Balize delta of the Mississippi River. The processes of vertical development (vertical accretion, elevation change, and shallow subsidence) were measured with the surface elevation table&ndash;marker horizon method. There were three distinct stages to the accrual of elevation capital and wetland formation in the splay: sediment infilling, vegetative colonization, and development of a mature wetland community. Accretion, elevation gain, and shallow subsidence all decreased by an order of magnitude from the open water (lowest elevation) to the forest (highest elevation) habitats. Vegetative colonization occurred within the first growing season following emergence of the mud surface. An explosively high rate of below-ground production quickly stabilized the loosely consolidated sub-aerial sediments. After emergent vegetation colonization, vertical development slowed and maintenance of marsh elevation was driven both by sediment trapping by the vegetation and accumulation of plant organic matter in the soil. Continued vertical development and survival of the marsh then depended on the health and productivity of the plant community. The process of delta wetland formation is both complex and nonlinear. Determining the dynamics of wetland formation will help in understanding the processes driving the past building of the delta and in developing models for restoring degraded wetlands in the Mississippi River delta and other deltas around the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.geomorph.2010.12.002","usgsCitation":"Cahoon, D.R., White, D.A., and Lynch, J., 2011, Sediment infilling and wetland formation dynamics in an active crevasse splay of the Mississippi River delta: Geomorphology, v. 131, no. 3-4, p. 57-68, https://doi.org/10.1016/j.geomorph.2010.12.002.","productDescription":"12 p.","startPage":"57","endPage":"68","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":24395,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.geomorph.2010.12.002","linkFileType":{"id":5,"text":"html"}},{"id":204185,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Delta","volume":"131","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fc010","contributors":{"authors":[{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":351578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, David A.","contributorId":13364,"corporation":false,"usgs":true,"family":"White","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":351579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, James C.","contributorId":54717,"corporation":false,"usgs":true,"family":"Lynch","given":"James C.","affiliations":[],"preferred":false,"id":351580,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004609,"text":"70004609 - 2011 - Sedimentation and response to sea-level rise of a restored marsh with reduced tidal exchange: Comparison with a natural tidal marsh","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"70004609","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentation and response to sea-level rise of a restored marsh with reduced tidal exchange: Comparison with a natural tidal marsh","docAbstract":"Along coasts and estuaries, formerly embanked land is increasingly restored into tidal marshes in order to re-establish valuable ecosystem services, such as buffering against flooding. Along the Scheldt estuary (Belgium), tidal marshes are restored on embanked land by allowing a controlled reduced tide (CRT) into a constructed basin, through a culvert in the embankment. In this way tidal water levels are significantly lowered (ca. 3 m) so that a CRT marsh can develop on formerly embanked land with a ca. 3 m lower elevation than the natural tidal marshes. In this study we compared the long-term change in elevation (&Delta;E) within a CRT marsh and adjacent natural tidal marsh. Over a period of 4 years, the observed spatio-temporal variations in &Delta;E rate were related to variations in inundation depth, and this relationship was not significantly different for the CRT marsh and natural tidal marsh. A model was developed to simulate the &Delta;E over the next century. (1) Under a scenario without mean high water level (MHWL) rise in the estuary, the model shows that the marsh elevation-&Delta;E feedback that is typical for a natural tidal marsh (i.e. rising marsh elevation results in decreasing inundation depth and therefore a decreasing increase in elevation) is absent in the basin of the CRT marsh. This is because tidal exchange of water volumes between the estuary and CRT marsh are independent from the CRT marsh elevation but dependent on the culvert dimensions. Thus the volume of water entering the CRT remains constant regardless of the marsh elevation. Consequently the CRT MHWL follows the increase in CRT surface elevation, resulting after 75 years in a 2&ndash;2.5 times larger elevation gain in the CRT marsh, and a faster reduction of spatial elevation differences. (2) Under a scenario of constant MHWL rise (historical rate of 1.5 cm a<sup>-1</sup>), the equilibrium elevation (relative to MHWL) is 0.13 m lower in the CRT marsh and is reached almost 2 times faster. (3) Under a scenario of accelerated MHWL rise (acceleration of 0.02 cm a<sup>-1</sup>), the CRT marsh is much less able to keep up with the MHWL rise; after 75 years the CRT elevation is already 0.21 m lower than for the natural marsh. In conclusion, this study demonstrates that although short-term (4 years) &Delta;E rates are similar in a restored CRT marsh and natural tidal marsh, these ecosystems may evolve differently in response to sea-level rise in the longer term (10&ndash;100 years).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.geomorph.2011.03.004","usgsCitation":"Vandenbruwaene, W., Maris, T., Cahoon, D.R., Meire, P., and Temmerman, S., 2011, Sedimentation and response to sea-level rise of a restored marsh with reduced tidal exchange: Comparison with a natural tidal marsh: Geomorphology, v. 130, no. 3-4, p. 115-126, https://doi.org/10.1016/j.geomorph.2011.03.004.","productDescription":"12 p.","startPage":"115","endPage":"126","numberOfPages":"12","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":21864,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.geomorph.2011.03.004","linkFileType":{"id":5,"text":"html"}},{"id":204162,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Belgium","otherGeospatial":"Scheldt Estuary","volume":"130","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbd03","contributors":{"authors":[{"text":"Vandenbruwaene, W.","contributorId":17358,"corporation":false,"usgs":true,"family":"Vandenbruwaene","given":"W.","email":"","affiliations":[],"preferred":false,"id":350839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maris, T.","contributorId":58762,"corporation":false,"usgs":true,"family":"Maris","given":"T.","email":"","affiliations":[],"preferred":false,"id":350842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":65424,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":350843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meire, P.","contributorId":29943,"corporation":false,"usgs":true,"family":"Meire","given":"P.","affiliations":[],"preferred":false,"id":350841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Temmerman, S.","contributorId":18099,"corporation":false,"usgs":true,"family":"Temmerman","given":"S.","affiliations":[],"preferred":false,"id":350840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003974,"text":"70003974 - 2011 - Spatial distribution and risk factors of highly pathogenic avian influenza (HPAI) H5N1 in China","interactions":[],"lastModifiedDate":"2016-08-24T15:07:23","indexId":"70003974","displayToPublicDate":"2011-12-01T18:29:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2981,"text":"PLoS Pathogens","active":true,"publicationSubtype":{"id":10}},"title":"Spatial distribution and risk factors of highly pathogenic avian influenza (HPAI) H5N1 in China","docAbstract":"Highly pathogenic avian influenza (HPAI) H5N1 was first encountered in 1996 in Guangdong province (China) and started spreading throughout Asia and the western Palearctic in 2004&ndash;2006. Compared to several other countries where the HPAI H5N1 distribution has been studied in some detail, little is known about the environmental correlates of the HPAI H5N1 distribution in China. HPAI H5N1 clinical disease outbreaks, and HPAI virus (HPAIV) H5N1 isolated from active risk-based surveillance sampling of domestic poultry (referred to as HPAIV H5N1 surveillance positives in this manuscript) were modeled separately using seven risk variables: chicken, domestic waterfowl population density, proportion of land covered by rice or surface water, cropping intensity, elevation, and human population density. We used bootstrapped logistic regression and boosted regression trees (BRT) with cross-validation to identify the weight of each variable, to assess the predictive power of the models, and to map the distribution of HPAI H5N1 risk. HPAI H5N1 clinical disease outbreak occurrence in domestic poultry was mainly associated with chicken density, human population density, and elevation. In contrast, HPAIV H5N1 infection identified by risk-based surveillance was associated with domestic waterfowl density, human population density, and the proportion of land covered by surface water. Both models had a high explanatory power (mean AUC ranging from 0.864 to 0.967). The map of HPAIV H5N1 risk distribution based on active surveillance data emphasized areas south of the Yangtze River, while the distribution of reported outbreak risk extended further North, where the density of poultry and humans is higher. We quantified the statistical association between HPAI H5N1 outbreak, HPAIV distribution and post-vaccination levels of seropositivity (percentage of effective post-vaccination seroconversion in vaccinated birds) and found that provinces with either outbreaks or HPAIV H5N1 surveillance positives in 2007&ndash;2009 appeared to have had lower antibody response to vaccination. The distribution of HPAI H5N1 risk in China appears more limited geographically than previously assessed, offering prospects for better targeted surveillance and control interventions.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.ppat.1001308","usgsCitation":"Martin, V., Pfeiffer, D.U., Zhou, X., Xiao, X., Prosser, D.J., Guo, F., and Gilbert, M., 2011, Spatial distribution and risk factors of highly pathogenic avian influenza (HPAI) H5N1 in China: PLoS Pathogens, v. 7, no. 3, e1001308; 11 p., https://doi.org/10.1371/journal.ppat.1001308.","productDescription":"e1001308; 11 p.","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474860,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.ppat.1001308","text":"Publisher Index Page"},{"id":204535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-03","publicationStatus":"PW","scienceBaseUri":"505b946ae4b08c986b31aa80","contributors":{"authors":[{"text":"Martin, Vincent","contributorId":92792,"corporation":false,"usgs":true,"family":"Martin","given":"Vincent","email":"","affiliations":[],"preferred":false,"id":349979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pfeiffer, Dirk U.","contributorId":100523,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"Dirk","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":349980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhou, Xiaoyan","contributorId":80813,"corporation":false,"usgs":true,"family":"Zhou","given":"Xiaoyan","email":"","affiliations":[],"preferred":false,"id":349978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiao, Xiangming","contributorId":67212,"corporation":false,"usgs":true,"family":"Xiao","given":"Xiangming","affiliations":[],"preferred":false,"id":349977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":349975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guo, Fusheng","contributorId":104209,"corporation":false,"usgs":true,"family":"Guo","given":"Fusheng","email":"","affiliations":[],"preferred":false,"id":349981,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gilbert, Marius","contributorId":61148,"corporation":false,"usgs":true,"family":"Gilbert","given":"Marius","email":"","affiliations":[],"preferred":false,"id":349976,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70003669,"text":"70003669 - 2011 - Sources of mercury to San Francisco Bay surface sediment as revealed by mercury stable isotopes","interactions":[],"lastModifiedDate":"2020-01-11T11:38:50","indexId":"70003669","displayToPublicDate":"2011-12-01T17:28:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Sources of mercury to San Francisco Bay surface sediment as revealed by mercury stable isotopes","docAbstract":"Mercury (Hg) concentrations and isotopic compositions were examined in shallow-water surface sediment (0&ndash;2 cm) from San Francisco (SF) Bay to determine the extent to which historic Hg mining contributes to current Hg contamination in SF Bay, and to assess the use of Hg isotopes to trace sources of contamination in estuaries. Inter-tidal and wetland sediment had total Hg (Hg<sub>T</sub>) concentrations ranging from 161 to 1529 ng/g with no simple gradients of spatial variation. In contrast, inter-tidal and wetland sediment displayed a geographic gradient of &delta;<sup>202</sup>Hg values, ranging from -0.30% in the southern-most part of SF Bay (draining the New Almaden Hg District) to -0.99% in the northern-most part of SF Bay near the Sacramento&ndash;San Joaquin River Delta. Similar to SF Bay inter-tidal sediment, surface sediment from the Alviso Slough channel draining into South SF Bay had a &delta;<sup>202</sup>Hg value of -0.29%, while surface sediment from the Cosumnes River and Sacramento&ndash;San Joaquin River Delta draining into north SF Bay had lower average &delta;<sup>202</sup>Hg values of -0.90% and -0.75%, respectively. This isotopic trend suggests that Hg-contaminated sediment from the New Almaden Hg District mixes with Hg-contaminated sediment from a low &delta;<sup>202</sup>Hg source north of SF Bay. Tailings and thermally decomposed ore (calcine) from the New Idria Hg mine in the California Coast Range had average &delta;<sup>202</sup>Hg values of -0.37 and +0.03%, respectively, showing that Hg calcination fractionates Hg isotopes resulting in Hg contamination from Hg(II) mine waste products with higher &delta;<sup>202</sup>Hg values than metallic Hg(0) produced from Hg mines. Thus, there is evidence for at least two distinct isotopic signals for Hg contamination in SF Bay: Hg associated with calcine waste materials at Hg mines in the Coast Range, such as New Almaden and New Idria; and Hg(0) produced from these mines and used in placer gold mines and/or in other industrial processes in the Sierra Nevada region and SF Bay area.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2010.11.012","usgsCitation":"Gehrke, G.E., Blum, J.D., and Marvin-DePasquale, M., 2011, Sources of mercury to San Francisco Bay surface sediment as revealed by mercury stable isotopes: Geochimica et Cosmochimica Acta, v. 75, no. 3, p. 691-705, https://doi.org/10.1016/j.gca.2010.11.012.","productDescription":"15 p.","startPage":"691","endPage":"705","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204509,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.09631347656249,\n              37.391981943533544\n            ],\n            [\n              -121.87683105468749,\n              37.391981943533544\n            ],\n            [\n              -121.87683105468749,\n              38.302869955150044\n            ],\n            [\n              -123.09631347656249,\n              38.302869955150044\n            ],\n            [\n              -123.09631347656249,\n              37.391981943533544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9381e4b08c986b31a50c","contributors":{"authors":[{"text":"Gehrke, Gretchen E.","contributorId":19700,"corporation":false,"usgs":true,"family":"Gehrke","given":"Gretchen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":348256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blum, Joel D.","contributorId":83657,"corporation":false,"usgs":true,"family":"Blum","given":"Joel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":348258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DePasquale, Mark","contributorId":49510,"corporation":false,"usgs":true,"family":"Marvin-DePasquale","given":"Mark","affiliations":[],"preferred":false,"id":348257,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003814,"text":"70003814 - 2011 - Some possible causes of and corrections for STS-1 response changes in the Global Seismographic Network","interactions":[],"lastModifiedDate":"2021-05-21T17:01:23.445297","indexId":"70003814","displayToPublicDate":"2011-12-01T16:20:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Some possible causes of and corrections for STS-1 response changes in the Global Seismographic Network","docAbstract":"The Global Seismographic Network (GSN) (Figure 1) plays a key role in providing seismic data for global earthquake monitoring (<i>e.g.</i>, Benz <i>et al.</i> 2005), earthquake science (<i>e.g.</i>, Tsai <i>et al.</i> 2005), and studies of Earth structure (<i>e.g.</i>, Dalton <i>et al.</i> 2008). One of the key GSN design goals is to \"provide high fidelity digital recordings of all teleseismic ground motions (adequate to resolve at or near ambient noise up to the largest teleseismic signals over the bandwidth from free oscillations (10<sup>-4</sup> Hz) to teleseismic body waves (up to approximately 15 Hz))\" (GSN ad hoc Design Goals Subcommittee 2002). To help meet this goal, Streckeisen STS-1 seismometers were deployed at 80 GSN stations.  Some of the GSN sensors have been deployed for more than 25 years. Several recent studies (Davis <i>et al.</i> 2005; Ekstr&#246;m <i>et al.</i> 2006; Davis and Berger 2007) have examined the question of overall calibration of the GSN. Ekstr&#246;m <i>et al.</i> (2006) indicated that a number of sites showed anomalous responses and suggested a gradual decay in the sensitivity.  We have investigated the anomalous responses at several GSN sites. At least some of the problems observed by Ekstr&#246;m <i>et al.</i> (2006) may be attributed to humid air leaking into the feedback electronics of the STS-1 seismometers, which produces lower than normal sensitivities near the long-period corner of the instrument (360 seconds period). It appears that even though the feedback electronics boxes are designed to be sealed, water vapor can penetrate their interior after they have been exposed to highly humid seismometer vault air for extended periods. Highly humid air was also found to be present inside some STS-1 bell-jars (especially horizontal instruments) after loss of vacuum, resulting in corrosion and leakage between electrical conductors in connectors.","language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/gssrl.82.4.560","usgsCitation":"Hutt, C., and Ringler, A., 2011, Some possible causes of and corrections for STS-1 response changes in the Global Seismographic Network: Seismological Research Letters, v. 82, no. 4, p. 560-571, https://doi.org/10.1785/gssrl.82.4.560.","productDescription":"12 p.","startPage":"560","endPage":"571","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":204531,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-07-05","publicationStatus":"PW","scienceBaseUri":"505b92d5e4b08c986b31a139","contributors":{"authors":[{"text":"Hutt, C. R. 0000-0001-9033-9195","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":61910,"corporation":false,"usgs":true,"family":"Hutt","given":"C. R.","affiliations":[],"preferred":false,"id":348982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, A. T. 0000-0002-9839-4188","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":99282,"corporation":false,"usgs":true,"family":"Ringler","given":"A. T.","affiliations":[],"preferred":false,"id":348983,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003965,"text":"70003965 - 2011 - Modeling the potential impact of seasonal and inactive multi-aquifer wells on contaminant movement to public water-supply wells","interactions":[],"lastModifiedDate":"2018-09-19T08:46:28","indexId":"70003965","displayToPublicDate":"2011-12-01T15:15:33","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the potential impact of seasonal and inactive multi-aquifer wells on contaminant movement to public water-supply wells","docAbstract":"<p><span>Wells screened across multiple aquifers can provide pathways for the movement of surprisingly large volumes of groundwater to confined aquifers used for public water supply (PWS). Using a simple numerical model, we examine the impact of several pumping scenarios on leakage from an unconfined aquifer to a confined aquifer and conclude that a single inactive multi-aquifer well can contribute nearly 10% of total PWS well flow over a wide range of pumping rates. This leakage can occur even when the multi-aquifer well is more than a kilometer from the PWS well. The contribution from multi-aquifer wells may be greater under conditions where seasonal pumping (e.g., irrigation) creates large, widespread downward hydraulic gradients between aquifers. Under those conditions, water can continue to leak down a multi-aquifer well from an unconfined aquifer to a confined aquifer even when those multi-aquifer wells are actively pumped. An important implication is that, if an unconfined aquifer is contaminated, multi-aquifer wells can increase the vulnerability of a confined-aquifer PWS well.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00526.x","usgsCitation":"Johnson, R., Clark, B., Landon, M., Kauffman, L.J., and Eberts, S.M., 2011, Modeling the potential impact of seasonal and inactive multi-aquifer wells on contaminant movement to public water-supply wells: Journal of the American Water Resources Association, v. 47, no. 3, p. 588-596, https://doi.org/10.1111/j.1752-1688.2011.00526.x.","productDescription":"9 p.","startPage":"588","endPage":"596","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":474862,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00526.x","text":"External Repository"},{"id":204166,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-30","publicationStatus":"PW","scienceBaseUri":"505a5c4ce4b0c8380cd6fba0","contributors":{"authors":[{"text":"Johnson, R.L.","contributorId":47305,"corporation":false,"usgs":false,"family":"Johnson","given":"R.L.","email":"","affiliations":[{"id":17860,"text":"Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":349763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, B.R.","contributorId":51901,"corporation":false,"usgs":true,"family":"Clark","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":349765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, M.K. 0000-0002-5766-0494","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":69572,"corporation":false,"usgs":true,"family":"Landon","given":"M.K.","affiliations":[],"preferred":false,"id":349767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kauffman, L. J. 0000-0003-4564-0362","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":65217,"corporation":false,"usgs":true,"family":"Kauffman","given":"L.","email":"","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":349766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eberts, S. M.","contributorId":28276,"corporation":false,"usgs":true,"family":"Eberts","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":349764,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70007114,"text":"70007114 - 2011 - Amphibian chytrid fungus (Batrachochytrium dendrobatidis) in coastal and montane California, USA Anurans","interactions":[],"lastModifiedDate":"2018-01-23T16:23:32","indexId":"70007114","displayToPublicDate":"2011-12-01T15:10:19","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian chytrid fungus (Batrachochytrium dendrobatidis) in coastal and montane California, USA Anurans","docAbstract":"We found amphibian chytrid fungus (Bd = Batrachochytrium dendrobatidis) to be widespread within a coastalwatershed at Point Reyes National Seashore, California and within two high elevation watersheds at Yosemite NationalPark, California. Bd was associated with all six species that we sampled (Bufo boreas, B. canorus, Pseudacris regilla, Ranadraytonii, R. sierrae, and Lithobates catesbeianus). For those species sampled at 10 or more sites within a watershed, thepercentage of Bd-positive sites varied from a low of 20.7% for P. regilla at one Yosemite watershed to a high of 79.6% forP. regilla at the Olema watershed at Point Reyes. At Olema, the percent of Bd-positive water bodies declined each year ofour study (2005-2007). Because P. regilla was the only species found in all watersheds, we used that species to evaluatehabitat variables related to the sites where P. regilla was Bd-positive. At Olema, significant variables were year, length ofshoreline (perimeter), percentage cover of rooted vegetation, and water depth. At the two Yosemite watersheds, waterdepth, water temperature, and silt/mud were the most important covariates, though the importance of these three factorsdiffered between the two watersheds. The presence of Bd in species that are not declining suggests that some of theamphibians in our study were innately resistant to Bd, or had developed resistance after Bd became established.","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Fellers, G.M., Cole, R.A., Reinitz, D.M., and Kleeman, P.M., 2011, Amphibian chytrid fungus (Batrachochytrium dendrobatidis) in coastal and montane California, USA Anurans: Herpetological Conservation and Biology, v. 6, no. 3, p. 383-394.","productDescription":"12 p.","startPage":"383","endPage":"394","ipdsId":"IP-019957","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204695,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115745,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://herpconbio.org/Volume_6/Issue_3/Fellers_etal_2011.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","volume":"6","issue":"3","edition":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9c4e4b0c8380cd48438","contributors":{"authors":[{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":355840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":355839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reinitz, David M.","contributorId":57597,"corporation":false,"usgs":true,"family":"Reinitz","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":355842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":355841,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70006185,"text":"70006185 - 2011 - 3-D flow and scour near a submerged wing dike: ADCP measurements on the Missouri River","interactions":[],"lastModifiedDate":"2021-05-24T12:07:58.642002","indexId":"70006185","displayToPublicDate":"2011-12-01T14:33:30","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"3-D flow and scour near a submerged wing dike: ADCP measurements on the Missouri River","docAbstract":"<p><span>Detailed mapping of bathymetry and three-dimensional water velocities using a boat-mounted single-beam sonar and acoustic Doppler current profiler (ADCP) was carried out in the vicinity of two submerged wing dikes located in the Lower Missouri River near Columbia, Missouri. During high spring flows the wing dikes become submerged, creating a unique combination of vertical flow separation and overtopping (plunging) flow conditions, causing large-scale three-dimensional turbulent flow structures to form. On three different days and for a range of discharges, sampling transects at 5 and 20 m spacing were completed, covering the area adjacent to and upstream and downstream from two different wing dikes. The objectives of this research are to evaluate whether an ADCP can identify and measure large-scale flow features such as recirculating flow and vortex shedding that develop in the vicinity of a submerged wing dike; and whether or not moving-boat (single-transect) data are sufficient for resolving complex three-dimensional flow fields. Results indicate that spatial averaging from multiple nearby single transects may be more representative of an inherently complex (temporally and spatially variable) three-dimensional flow field than repeated single transects. Results also indicate a correspondence between the location of calculated vortex cores (resolved from the interpolated three-dimensional flow field) and the nearby scour holes, providing new insight into the connections between vertically oriented coherent structures and local scour, with the unique perspective of flow and morphology in a large river.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010WR010043","usgsCitation":"Jamieson, E.C., Rennie, C.D., Jacobson, R., and Townsend, R.D., 2011, 3-D flow and scour near a submerged wing dike: ADCP measurements on the Missouri River: Water Resources Research, v. 47, W07544, 20 p., https://doi.org/10.1029/2010WR010043.","productDescription":"W07544, 20 p.","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":474863,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr010043","text":"Publisher Index Page"},{"id":204632,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Columbia","otherGeospatial":"Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.70263671874999,\n              38.50948995925553\n            ],\n            [\n              -91.91162109375,\n              38.50948995925553\n            ],\n            [\n              -91.91162109375,\n              38.96795115401593\n            ],\n            [\n              -92.70263671874999,\n              38.96795115401593\n            ],\n            [\n              -92.70263671874999,\n              38.50948995925553\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2011-07-23","publicationStatus":"PW","scienceBaseUri":"5059e258e4b0c8380cd45ada","contributors":{"authors":[{"text":"Jamieson, E. C.","contributorId":97632,"corporation":false,"usgs":false,"family":"Jamieson","given":"E.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":354041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rennie, C. D.","contributorId":49927,"corporation":false,"usgs":false,"family":"Rennie","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":354038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobson, R. B. 0000-0002-8368-2064","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":92614,"corporation":false,"usgs":true,"family":"Jacobson","given":"R. B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":354040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Townsend, R. D.","contributorId":85328,"corporation":false,"usgs":false,"family":"Townsend","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":354039,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70006342,"text":"70006342 - 2011 - Accounting for non-independent detection when estimating abundance of organisms with a Bayesian approach","interactions":[],"lastModifiedDate":"2021-05-18T15:15:31.998461","indexId":"70006342","displayToPublicDate":"2011-12-01T14:24:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for non-independent detection when estimating abundance of organisms with a Bayesian approach","docAbstract":"<h2 id=\"d21617468\" class=\"article-section__header section__title main abstractlang_en main\">Summary</h2><div class=\"article-section__content en main\"><p><strong>1.</strong><span>&nbsp;</span>Binomial mixture models use repeated count data to estimate abundance. They are becoming increasingly popular because they provide a simple and cost‐effective way to account for imperfect detection. However, these models assume that individuals are detected independently of each other. This assumption may often be violated in the field. For instance, manatees (<i>Trichechus manatus latirostris</i>) may surface in turbid water (i.e. become available for detection during aerial surveys) in a correlated manner (i.e. in groups). However, correlated behaviour, affecting the non‐independence of individual detections, may also be relevant in other systems (e.g. correlated patterns of singing in birds and amphibians).</p><p><strong>2.</strong><span>&nbsp;</span>We extend binomial mixture models to account for correlated behaviour and therefore to account for non‐independent detection of individuals. We simulated correlated behaviour using beta‐binomial random variables. Our approach can be used to simultaneously estimate abundance, detection probability and a correlation parameter.</p><p><strong>3.</strong><span>&nbsp;</span>Fitting binomial mixture models to data that followed a beta‐binomial distribution resulted in an overestimation of abundance even for moderate levels of correlation. In contrast, the beta‐binomial mixture model performed considerably better in our simulation scenarios. We also present a goodness‐of‐fit procedure to evaluate the fit of beta‐binomial mixture models.</p><p><strong>4.</strong><span>&nbsp;</span>We illustrate our approach by fitting both binomial and beta‐binomial mixture models to aerial survey data of manatees in Florida. We found that the binomial mixture model did not fit the data, whereas there was no evidence of lack of fit for the beta‐binomial mixture model. This example helps illustrate the importance of using simulations and assessing goodness‐of‐fit when analysing ecological data with N‐mixture models. Indeed, both the simulations and the goodness‐of‐fit procedure highlighted the limitations of the standard binomial mixture model for aerial manatee surveys.</p><p><strong>5.</strong><span>&nbsp;</span>Overestimation of abundance by binomial mixture models owing to non‐independent detections is problematic for ecological studies, but also for conservation. For example, in the case of endangered species, it could lead to inappropriate management decisions, such as downlisting. These issues will be increasingly relevant as more ecologists apply flexible N‐mixture models to ecological data.</p></div>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.2041-210X.2011.00113.x","usgsCitation":"Martin, J., Royle, J., MacKenzie, D.I., Edwards, H.H., Kery, M., and Gardner, B., 2011, Accounting for non-independent detection when estimating abundance of organisms with a Bayesian approach: Methods in Ecology and Evolution, v. 2, no. 6, p. 595-601, https://doi.org/10.1111/j.2041-210X.2011.00113.x.","productDescription":"7 p.","startPage":"595","endPage":"601","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474865,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2011.00113.x","text":"Publisher Index Page"},{"id":204690,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-04-26","publicationStatus":"PW","scienceBaseUri":"5059e66ee4b0c8380cd47407","contributors":{"authors":[{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":354332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":354335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKenzie, Darryl I.","contributorId":94436,"corporation":false,"usgs":true,"family":"MacKenzie","given":"Darryl","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":354337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Holly H.","contributorId":66419,"corporation":false,"usgs":true,"family":"Edwards","given":"Holly","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":354334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kery, Marc","contributorId":38680,"corporation":false,"usgs":true,"family":"Kery","given":"Marc","affiliations":[],"preferred":false,"id":354333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":354336,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70006178,"text":"70006178 - 2011 - Setting limits: Using air pollution thresholds to protect and restore US ecosystems","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"70006178","displayToPublicDate":"2011-12-01T14:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2121,"text":"Issues in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Setting limits: Using air pollution thresholds to protect and restore US ecosystems","docAbstract":"More than four decades of research provide unequivocal evidence that sulfur, nitrogen, and mercury pollution have altered, and will continue to alter, our nation's lands and waters. The emission and deposition of air pollutants harm native plants and animals, degrade water quality, affect forest productivity, and are damaging to human health. Many air quality policies limit emissions at the source but these control measures do not always consider ecosystem impacts. Air pollution thresholds at which ecological effects are observed, such as critical loads, are effective tools for assessing the impacts of air pollution on essential ecosystem services and for informing public policy. U.S. ecosystems can be more effectively protected and restored by using a combination of emissions-based approaches and science-based thresholds of ecosystem damage.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Issues in Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","usgsCitation":"Fenn, M.E., Lambert, K., Blett, T.F., Burns, D.A., Pardo, L.H., Lovett, G.M., Haeuber, R.A., Evers, D.C., Driscoll, C.T., and Jeffries, D.S., 2011, Setting limits: Using air pollution thresholds to protect and restore US ecosystems: Issues in Ecology, p. 1-21.","productDescription":"21 p.","startPage":"1","endPage":"21","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":204175,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":111017,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.esa.org/science_resources/issues/FileEnglish/issuesinecology14.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8d72e4b08c986b3183f0","contributors":{"authors":[{"text":"Fenn, Mark E.","contributorId":94168,"corporation":false,"usgs":true,"family":"Fenn","given":"Mark","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":354024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, Kathleen F.","contributorId":11073,"corporation":false,"usgs":true,"family":"Lambert","given":"Kathleen F.","affiliations":[],"preferred":false,"id":354018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blett, Tamara F.","contributorId":21423,"corporation":false,"usgs":true,"family":"Blett","given":"Tamara","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":354019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pardo, Linda H.","contributorId":53243,"corporation":false,"usgs":true,"family":"Pardo","given":"Linda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":354023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lovett, Gary M.","contributorId":48447,"corporation":false,"usgs":true,"family":"Lovett","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":354021,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haeuber, Richard A.","contributorId":101152,"corporation":false,"usgs":true,"family":"Haeuber","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":354026,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":354025,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Driscoll, Charles T.","contributorId":35418,"corporation":false,"usgs":true,"family":"Driscoll","given":"Charles","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":354020,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jeffries, Dean S.","contributorId":50281,"corporation":false,"usgs":true,"family":"Jeffries","given":"Dean","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":354022,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70004693,"text":"70004693 - 2011 - Exchange of Groundwater and Surface-Water Mediated by Permafrost Response to Seasonal and Long Term Air Temperature Variation","interactions":[],"lastModifiedDate":"2012-02-02T00:16:00","indexId":"70004693","displayToPublicDate":"2011-12-01T13:57:00","publicationYear":"2011","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":"Exchange of Groundwater and Surface-Water Mediated by Permafrost Response to Seasonal and Long Term Air Temperature Variation","docAbstract":"Permafrost dynamics impact hydrologic cycle processes by promoting or impeding groundwater and surface water exchange. Under seasonal and decadal air temperature variations, permafrost temperature changes control the exchanges between groundwater and surface water. A coupled heat transport and groundwater flow model, SUTRA, was modified to simulate groundwater flow and heat transport in the subsurface containing permafrost. The northern central Tibet Plateau was used as an example of model application. Modeling results show that in a yearly cycle, groundwater flow occurs in the active layer from May to October. Maximum groundwater discharge to the surface lags the maximum subsurface temperature by two months. Under an increasing air temperature scenario of 3?C per 100 years, over the initial 40-year period, the active layer thickness can increase by three-fold. Annual groundwater discharge to the surface can experience a similar three-fold increase in the same period. An implication of these modeling results is that with increased warming there will be more groundwater flow in the active layer and therefore increased groundwater discharge to rivers. However, this finding only holds if sufficient upgradient water is available to replenish the increased discharge. Otherwise, there will be an overall lowering of the water table in the recharge portion of the catchment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011GL047911","usgsCitation":"Ge, S., McKenzie, J., Voss, C., and Wu, Q., 2011, Exchange of Groundwater and Surface-Water Mediated by Permafrost Response to Seasonal and Long Term Air Temperature Variation: Geophysical Research Letters, v. 38, no. L14402, 6 p., https://doi.org/10.1029/2011GL047911.","productDescription":"6 p.","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":474868,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl047911","text":"Publisher Index Page"},{"id":204225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":112406,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL047911"}],"country":"United States","volume":"38","issue":"L14402","noUsgsAuthors":false,"publicationDate":"2011-07-30","publicationStatus":"PW","scienceBaseUri":"505a0da7e4b0c8380cd5311b","contributors":{"authors":[{"text":"Ge, Shemin","contributorId":37366,"corporation":false,"usgs":true,"family":"Ge","given":"Shemin","affiliations":[],"preferred":false,"id":351161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenzie, Jeffrey","contributorId":37466,"corporation":false,"usgs":true,"family":"McKenzie","given":"Jeffrey","affiliations":[],"preferred":false,"id":351162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford","contributorId":63150,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","affiliations":[],"preferred":false,"id":351163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Qingbai","contributorId":101798,"corporation":false,"usgs":true,"family":"Wu","given":"Qingbai","email":"","affiliations":[],"preferred":false,"id":351164,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70147944,"text":"70147944 - 2011 - Patterns in young-of-year smallmouth bass microhabitat use in multiple stream segments with contrasting land uses","interactions":[],"lastModifiedDate":"2015-05-11T10:37:22","indexId":"70147944","displayToPublicDate":"2011-12-01T11:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Patterns in young-of-year smallmouth bass microhabitat use in multiple stream segments with contrasting land uses","docAbstract":"<p>Young-of-the-year (YOY) smallmouth bass, Micropterus dolomieu Lacepede, were evaluated in streams from eight catchments with two contrasting land uses to determine their use of microhabitats under a variety of stream conditions. Step-wise discriminant function analyses revealed patterns of habitat use by discriminating used from available microhabitat conditions. Velocity was significant in 88% of streams sampled, whereas depth was significant in only the smallest stream in the forest-dominated catchments and 75% of stream segments located in pasture-dominated catchments. Mean velocities used by YOY bass were lower than available velocities, and mean depths used were greater than mean availability in all cases. Substrata varied significantly with availability in different stream segments. Error rates associated with classification ranged from 5 to 39%. Results indicate that YOY smallmouth bass are somewhat opportunistic, but use low-velocity habitats in most cases and deeper water when streams are impacted by pasture land use and associated physical changes.</p>","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/j.1365-2400.2011.00806.x","usgsCitation":"Brewer, S.K., 2011, Patterns in young-of-year smallmouth bass microhabitat use in multiple stream segments with contrasting land uses: Fisheries Management and Ecology, v. 18, no. 6, p. 506-512, https://doi.org/10.1111/j.1365-2400.2011.00806.x.","productDescription":"7 p.","startPage":"506","endPage":"512","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026557","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"5551d2b6e4b0a92fa7e93bf9","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546473,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70154849,"text":"70154849 - 2011 - Defining conservation priorities for freshwater fishes according to taxonomic, functional, and phylogenetic diversity","interactions":[],"lastModifiedDate":"2015-07-10T10:44:21","indexId":"70154849","displayToPublicDate":"2011-12-01T11:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Defining conservation priorities for freshwater fishes according to taxonomic, functional, and phylogenetic diversity","docAbstract":"<p>To date, the predominant use of systematic conservation planning has been to evaluate and conserve areas of high terrestrial biodiversity. Although studies in freshwater ecosystems have received recent attention, research has rarely considered the potential trade-offs between protecting different dimensions of biodiversity and the ecological processes that maintain diversity. We provide the first systematic prioritization for freshwaters (focusing on the highly threatened and globally distinct fish fauna of the Lower Colorado River Basin, USA) simultaneously considering scenarios of: taxonomic, functional, and phylogenetic diversity; contemporary threats to biodiversity (including interactions with nonnative species); and future climate change and human population growth. There was 75% congruence between areas of highest conservation priority for different aspects of biodiversity, suggesting that conservation efforts can concurrently achieve strong complementarity among all types of diversity. However, sizable fractions of the landscape were incongruent across conservation priorities for different diversity scenarios, underscoring the importance of considering multiple dimensions of biodiversity and highlighting catchments that contribute disproportionately to taxonomic, functional, and phylogenetic diversity in the region. Regions of projected human population growth were not concordant with conservation priorities; however, higher human population abundance will likely have indirect effects on native biodiversity by increasing demand for water. This will come in direct conflict with projected reductions in precipitation and warmer temperatures, which have substantial overlap with regions of high contemporary diversity. Native and endemic fishes in arid ecosystems are critically endangered by both current and future threats, but our results highlight the use of systematic conservation planning for the optimal allocation of limited resources that incorporates multiple and complementary conservation values describing taxonomic, functional, and phylogenetic diversity.</p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/11-0599.1","usgsCitation":"Strecker, A.L., Olden, J., Whittier, J.B., and Paukert, C.P., 2011, Defining conservation priorities for freshwater fishes according to taxonomic, functional, and phylogenetic diversity: Ecological Applications, v. 21, no. 8, p. 3002-3013, https://doi.org/10.1890/11-0599.1.","productDescription":"12 p.","startPage":"3002","endPage":"3013","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029013","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a0ecaee4b0183d66e43030","contributors":{"authors":[{"text":"Strecker, Angela L.","contributorId":43256,"corporation":false,"usgs":true,"family":"Strecker","given":"Angela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":564578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":564579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":564580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564263,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201979,"text":"70201979 - 2011 - Utah's geologic and geomorphic analogs to Mars—An overview for planetary exploration","interactions":[],"lastModifiedDate":"2019-02-04T10:56:35","indexId":"70201979","displayToPublicDate":"2011-12-01T10:55:27","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"22","title":"Utah's geologic and geomorphic analogs to Mars—An overview for planetary exploration","docAbstract":"<p><span>Utah offers spectacular geologic features and valuable analog environments and processes for Mars studies. Horizontal strata of the Colorado Plateau are analogous to Mars because the overprint of plate tectonics is minimal, yet the effects of strong ground motion from earthquakes or impacts are preserved in the sedimentary record. The close proximity of analog environments and lack of vegetative cover are advantages for field and remote-sensing studies. Dry, desert climate and modern wind processes of Utah are comparable to Mars and its current surface. Analogs in Utah include eolian, sabkha and saline bodies, glacial, lacustrine, spring, alluvial, fluvial, delta, and outflow channel depositional environments, as well as volcanic landforms and impact craters. Analogous secondary processes producing modification features include: diagenetic concretions, weathering and soils, sinkholes, sapping, knobs and pinnacles, crusts and varnish, and patterned grounds. Utah's physical and chemical environments are analogous to conditions on Mars where water existed and could support microorganisms. The development of Mars includes: ancient and modern depositional records, burial and diagenesis, uplift and tectonic alteration, and modern sculpting or weathering of the surface exposures. Recent satellite images are providing unprecedented details that rival the outcrop scale. Analogs in Utah are prime field localities that can be utilized in planning future robotic and human missions to Mars, and for teaching the next generation of planetary explorers.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Analogs for Planetary Exploration","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"GeoScienceWorld","doi":"10.1130/2011.2483(22)","isbn":"9780813724836","usgsCitation":"Chan, M.A., Nicoll, K., Ormö, J., Okubo, C., and Komatsu, G., 2011, Utah's geologic and geomorphic analogs to Mars—An overview for planetary exploration, chap. 22 <i>of</i> Analogs for Planetary Exploration, p. 349-375, https://doi.org/10.1130/2011.2483(22).","productDescription":"28 p.","startPage":"349","endPage":"375","costCenters":[{"id":131,"text":"Astrogeology Science 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,{"id":70004869,"text":"70004869 - 2011 - Spatial patterns of mercury in macroinvertebrates and fishes from streams of contrasting forested landscapes in the eastern United States","interactions":[],"lastModifiedDate":"2020-01-14T09:56:07","indexId":"70004869","displayToPublicDate":"2011-12-01T10:33:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of mercury in macroinvertebrates and fishes from streams of contrasting forested landscapes in the eastern United States","docAbstract":"Controls on mercury bioaccumulation in lotic ecosystems are not well understood. During 2007&ndash;2009, we studied mercury and stable isotope spatial patterns of macroinvertebrates and fishes from two medium-sized (<80 km<sup>2</sup>) forested basins in contrasting settings. Samples were collected seasonally from multiple sites across the Fishing Brook basin (FBNY), in New York's Adirondack Mountains, and the McTier Creek basin (MCSC), in South Carolina's Coastal Plain. Mean methylmercury (MeHg) concentrations within macroinvertebrate feeding groups, and mean total mercury (THg) concentrations within most fish feeding groups were similar between the two regions. However, mean THg concentrations in game fish and forage fish, overall, were much lower in FBNY (1300 and 590 ng/g dw, respectively) than in MCSC (2300 and 780 ng/g dw, respectively), due to lower trophic positions of these groups from FBNY (means 3.3 and 2.7, respectively) than MCSC (means 3.7 and 3.3, respectively). Much larger spatial variation in topography and water chemistry across FBNY contributed to greater spatial variation in biotic Hg and positive correlations with dissolved MeHg and organic carbon in streamwater. Hydrologic transport distance (HTD) was negatively correlated with biotic Hg across FBNY, and was a better predictor than wetland density. The small range of landscape conditions across MCSC resulted in no consistent spatial patterns, and no discernable correspondence with local-scale environmental factors. This study demonstrates the importance of local-scale environmental factors to mercury bioaccumulation in topographically heterogeneous landscapes, and provides evidence that food-chain length can be an important predictor of broad-scale differences in Hg bioaccumulation among streams.","language":"English","publisher":"Springer","doi":"10.1007/s10646-011-0719-9","usgsCitation":"Riva-Murray, K., Chasar, L.C., Bradley, P.M., Burns, D.A., Brigham, M.E., Smith, M.J., and Abrahamsen, T.A., 2011, Spatial patterns of mercury in macroinvertebrates and fishes from streams of contrasting forested landscapes in the eastern United States: Ecotoxicology, v. 20, no. 7, p. 1530-1542, https://doi.org/10.1007/s10646-011-0719-9.","productDescription":"13 p.","startPage":"1530","endPage":"1542","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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,{"id":70043371,"text":"70043371 - 2011 - Quantifying the hydrological responses to climate change in an intact forested small watershed in southern China","interactions":[],"lastModifiedDate":"2013-07-23T10:37:55","indexId":"70043371","displayToPublicDate":"2011-12-01T10:29:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the hydrological responses to climate change in an intact forested small watershed in southern China","docAbstract":"Responses of hydrological processes to climate change are key components in the Intergovernmental Panel for Climate Change (IPCC) assessment. Understanding these responses is critical for developing appropriate mitigation and adaptation strategies for sustainable water resources management and protection of public safety. However, these responses are not well understood and little long-term evidence exists. Herein, we show how climate change, specifically increased air temperature and storm intensity, can affect soil moisture dynamics and hydrological variables based on both long-term observation and model simulations using the Soil and Water Assessment Tool (SWAT) in an intact forested watershed (the Dinghushan Biosphere Reserve) in Southern China. Our results show that, although total annual precipitation changed little from 1950 to 2009, soil moisture decreased significantly. A significant decline was also found in the monthly 7-day low flow from 2000 to 2009. However, the maximum daily streamflow in the wet season and unconfined groundwater tables have significantly increased during the same 10-year period. The significant decreasing trends on soil moisture and low flow variables suggest that the study watershed is moving towards drought-like condition. Our analysis indicates that the intensification of rainfall storms and the increasing number of annual no-rain days were responsible for the increasing chance of both droughts and floods. We conclude that climate change has indeed induced more extreme hydrological events (e.g. droughts and floods) in this watershed and perhaps other areas of Southern China. This study also demonstrated usefulness of our research methodology and its possible applications on quantifying the impacts of climate change on hydrology in any other watersheds where long-term data are available and human disturbance is negligible.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2486.2011.02499.x","usgsCitation":"Zhou, G., Wei, X., Wu, Y., Liu, S., Huang, Y., Yan, J., Zhang, D., Zhang, Q., Liu, J., Meng, Z., Wang, C., Chu, G., Liu, S., Tang, X., and Liu, X., 2011, Quantifying the hydrological responses to climate change in an intact forested small watershed in southern China: Global Change Biology, v. 17, no. 12, p. 3736-3746, https://doi.org/10.1111/j.1365-2486.2011.02499.x.","productDescription":"11 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Qianmei","contributorId":75045,"corporation":false,"usgs":true,"family":"Zhang","given":"Qianmei","email":"","affiliations":[],"preferred":false,"id":473487,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Juxiu","contributorId":43653,"corporation":false,"usgs":true,"family":"Liu","given":"Juxiu","email":"","affiliations":[],"preferred":false,"id":473482,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meng, Ze","contributorId":6745,"corporation":false,"usgs":true,"family":"Meng","given":"Ze","email":"","affiliations":[],"preferred":false,"id":473480,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wang, Chunlin","contributorId":38696,"corporation":false,"usgs":true,"family":"Wang","given":"Chunlin","email":"","affiliations":[],"preferred":false,"id":473481,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chu, Guowei","contributorId":92146,"corporation":false,"usgs":true,"family":"Chu","given":"Guowei","email":"","affiliations":[],"preferred":false,"id":473490,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Liu, Shizhong","contributorId":98198,"corporation":false,"usgs":true,"family":"Liu","given":"Shizhong","email":"","affiliations":[],"preferred":false,"id":473491,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tang, Xu-Li","contributorId":83820,"corporation":false,"usgs":true,"family":"Tang","given":"Xu-Li","email":"","affiliations":[],"preferred":false,"id":473488,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Liu, Xiaodong","contributorId":50804,"corporation":false,"usgs":true,"family":"Liu","given":"Xiaodong","email":"","affiliations":[],"preferred":false,"id":473483,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70006189,"text":"70006189 - 2011 - Oil detection in a coastal marsh with polarimetric Synthetic Aperture Radar (SAR)","interactions":[],"lastModifiedDate":"2012-02-02T00:16:00","indexId":"70006189","displayToPublicDate":"2011-12-01T09:37:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Oil detection in a coastal marsh with polarimetric Synthetic Aperture Radar (SAR)","docAbstract":"The National Aeronautics and Space Administration's airborne <i>Uninhabited Aerial Vehicle Synthetic Aperture Radar</i> (UAVSAR) was deployed in June 2010 in response to the Deepwater Horizon oil spill in the Gulf of Mexico. UAVSAR is a fully polarimetric L-band Synthetic Aperture Radar (SAR) sensor for obtaining data at high spatial resolutions. Starting a month prior to the UAVSAR collections, visual observations confirmed oil impacts along shorelines within northeastern Barataria Bay waters in eastern coastal Louisiana. UAVSAR data along several flight lines over Barataria Bay were collected on 23 June 2010, including the repeat flight line for which data were collected in June 2009. Our analysis of calibrated single-look complex data for these flight lines shows that structural damage of shoreline marsh accompanied by oil occurrence manifested as anomalous features not evident in pre-spill data. Freeman-Durden (FD) and Cloude-Pottier (CP) decompositions of the polarimetric data and Wishart classifications seeded with the FD and CP classes also highlighted these nearshore features as a change in dominant scattering mechanism. All decompositions and classifications also identify a class of interior marshes that reproduce the spatially extensive changes in backscatter indicated by the pre- and post-spill comparison of multi-polarization radar backscatter data. FD and CP decompositions reveal that those changes indicate a transform of dominant scatter from primarily surface or volumetric to double or even bounce. Given supportive evidence that oil-polluted waters penetrated into the interior marshes, it is reasonable that these backscatter changes correspond with oil exposure; however, multiple factors prevent unambiguous determination of whether UAVSAR detected oil in interior marshes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI Publishing","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs3122630","usgsCitation":"Ramsey, E., Rangoonwala, A., Suzuoki, Y., and Jones, C.E., 2011, Oil detection in a coastal marsh with polarimetric Synthetic Aperture Radar (SAR): Remote Sensing, v. 3, no. 12, p. 2630-2662, https://doi.org/10.3390/rs3122630.","productDescription":"33 p.","startPage":"2630","endPage":"2662","numberOfPages":"32","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":474876,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs3122630","text":"Publisher Index Page"},{"id":204214,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":111027,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.3390/rs3122630","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Bay","volume":"3","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-12-07","publicationStatus":"PW","scienceBaseUri":"505a6cf2e4b0c8380cd74eb2","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":354045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":354042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suzuoki, Yukihiro","contributorId":25283,"corporation":false,"usgs":true,"family":"Suzuoki","given":"Yukihiro","email":"","affiliations":[],"preferred":false,"id":354044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Cathleen E.","contributorId":11890,"corporation":false,"usgs":true,"family":"Jones","given":"Cathleen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":354043,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70006143,"text":"70006143 - 2011 - Sea-level rise and landscape change influence mangrove encroachment onto marsh in the Ten Thousand Islands region of Florida, USA","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"70006143","displayToPublicDate":"2011-12-01T09:28:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2219,"text":"Journal of Coastal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level rise and landscape change influence mangrove encroachment onto marsh in the Ten Thousand Islands region of Florida, USA","docAbstract":"The Ten Thousand Islands region of southwestern Florida, USA is a major feeding and resting destination for breeding, migrating, and wintering birds. Many species of waterbirds rely specifically on marshes as foraging habitat, making mangrove encroachment a concern for wildlife managers. With the alteration of freshwater flow and sea-level rise trends for the region, mangroves have migrated upstream into traditionally salt and brackish marshes, mirroring similar descriptions around the world. Aside from localized freezes in some years, very little seems to be preventing mangrove encroachment. We mapped changes in mangrove stand boundaries from the Gulf of Mexico inland to the northern boundary of Ten Thousand Islands National Wildlife Refuge (TTINWR) from 1927 to 2005, and determined the area of mangroves to be approximately 7,281 hectares in 2005, representing an 1,878 hectare increase since 1927. Overall change represents an approximately 35% increase in mangrove coverage on TTINWR over 78 years. Sea-level rise is likely the primary driver of this change; however, the construction of new waterways facilitates the dispersal of mangrove propagules into new areas by extending tidal influence, exacerbating encroachment. Reduced volume of freshwater delivery to TTINWR via overland flow and localized rainfall may influence the balance between marsh and mangrove as well, potentially offering some options to managers interested in conserving marsh over mangrove.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s11852-011-0153-4","usgsCitation":"Krauss, K.W., From, A., Doyle, T.W., Doyle, T.J., and Barry, M.J., 2011, Sea-level rise and landscape change influence mangrove encroachment onto marsh in the Ten Thousand Islands region of Florida, USA: Journal of Coastal Conservation, v. 15, no. 4, p. 629-638, https://doi.org/10.1007/s11852-011-0153-4.","productDescription":"10 p.","startPage":"629","endPage":"638","numberOfPages":"10","temporalStart":"1927-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":110994,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s11852-011-0153-4","linkFileType":{"id":5,"text":"html"}},{"id":204238,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Ten Thousand Islands Region","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-13","publicationStatus":"PW","scienceBaseUri":"505b8819e4b08c986b3167dc","contributors":{"authors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":353930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"From, Andrew S. 0000-0002-6543-2627","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":18100,"corporation":false,"usgs":true,"family":"From","given":"Andrew S.","affiliations":[],"preferred":false,"id":353931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doyle, Thomas W. 0000-0001-5754-0671 doylet@usgs.gov","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":703,"corporation":false,"usgs":true,"family":"Doyle","given":"Thomas","email":"doylet@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":353929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doyle, Terry J.","contributorId":85706,"corporation":false,"usgs":true,"family":"Doyle","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":353932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barry, Michael J.","contributorId":87277,"corporation":false,"usgs":true,"family":"Barry","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":353933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70006126,"text":"ofr20111198 - 2011 - Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona&mdash;2009&ndash;10","interactions":[],"lastModifiedDate":"2012-02-03T00:10:05","indexId":"ofr20111198","displayToPublicDate":"2011-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1198","title":"Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona&mdash;2009&ndash;10","docAbstract":"The Navajo (N) aquifer is an extensive aquifer and the primary source of groundwater in the 5,400-square-mile Black Mesa area in northeastern Arizona. Availability of water is an important issue in northeastern Arizona because of continued water requirements for industrial and municipal use by a growing population and because of low precipitation in the arid climate of the Black Mesa area. Precipitation in the area is typically between 6 and 14 inches per year.  The U.S. Geological Survey water-monitoring program in the Black Mesa area began in 1971 and provides information about the long-term effects of groundwater withdrawals from the N aquifer for industrial and municipal uses. This report presents results of data collected as part of the monitoring program in the Black Mesa area from January 2009 to September 2010. The monitoring program includes measurements of (1) groundwater withdrawals, (2) groundwater levels, (3) spring discharge, (4) surface-water discharge, and (5) groundwater chemistry.  In 2009, total groundwater withdrawals were 4,230 acre-ft, industrial withdrawals were 1,390 acre-ft, and municipal withdrawals were 2,840 acre-ft. Total withdrawals during 2009 were about 42 percent less than total withdrawals in 2005 because of Peabody Western Coal Company's discontinued use of water in a coal slurry used for transporting coal. From 2008 to 2009 total withdrawals increased by 3 percent and industrial withdrawals increased by approximately 15 percent, but total municipal withdrawals decreased by 2 percent.  From 2009 to 2010, annually measured water levels in the Black Mesa area declined in 7 of 16 wells that were available for comparison in the unconfined areas of the N aquifer, and the median change was 0.1 foot. Water levels declined in 12 of 18 wells measured in the confined area of the aquifer. The median change for the confined area of the aquifer was -0.3 foot. From the prestress period (prior to 1965) to 2010, the median water-level change for 34 wells in both the confined and unconfined area was -13.9 feet. Also, from the prestress period to 2009, the median water-level changes were -0.8 foot for 16 wells measured in the unconfined areas and -38.7 feet for 18 wells measured in the confined area.  Spring flow was measured at four springs in 2010. Flow fluctuated during the period of record, but a decreasing trend was apparent at Moenkopi School Spring and Pasture Canyon Spring. Discharge at Burro Spring and Unnamed Spring near Dennehotso has remained relatively constant since they were first measured in the 1980s.  Continuous records of surface-water discharge in the Black Mesa area were collected from streamflow-gaging stations at the following sites: Moenkopi Wash at Moenkopi 09401260 (1976 to 2009), Dinnebito Wash near Sand Springs 09401110 (1993 to 2009), Polacca Wash near Second Mesa 09400568 (1994 to 2009), and Pasture Canyon Springs 09401265 (2004 to 2009). Median winter flows (November through February) of each water year were used as an index of the amount of groundwater discharge at the above-named sites. For the period of record of each streamflow-gaging station, the median winter flows have generally remained constant, which suggests no change in groundwater discharge.  In 2010, water samples collected from 11 wells and 4 springs in the Black Mesa area were analyzed for selected chemical constituents, and the results were compared with previous analyses. Concentrations of dissolved solids, chloride, and sulfate have varied at all 11 wells for the period of record, but neither increasing nor decreasing trends over time were found. Dissolved-solids, chloride, and sulfate concentrations increased at Moenkopi School Spring during the more than 12 years of record at that site. Concentrations of dissolved solids, chloride, and sulfate at Pasture Canyon Spring have not varied much since the early 1980s, and there is no increasing or decreasing trend in those data. Concentrations of dissolved solids, chloride, and sulfate at Burro Spring and Unnamed Spring near Dennehotso have varied for the period of record, but there is no increasing or decreasing trend in the data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111198","collaboration":"In cooperation with the Bureau of Indian Affairs and the Arizona Department of Water Resources","usgsCitation":"Macy, J.P., and Brown, C.R., 2011, Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona&mdash;2009&ndash;10: U.S. Geological Survey Open-File Report 2011-1198, vi, 42 p., https://doi.org/10.3133/ofr20111198.","productDescription":"vi, 42 p.","onlineOnly":"Y","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":110979,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1198/","linkFileType":{"id":5,"text":"html"}},{"id":116684,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1198.gif"}],"state":"Arizona","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4784e4b07f02db483c56","contributors":{"authors":[{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Christopher R. crbrown@usgs.gov","contributorId":4751,"corporation":false,"usgs":true,"family":"Brown","given":"Christopher","email":"crbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353891,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006130,"text":"sir20115156 - 2011 - The source, discharge, and chemical characteristics of water from Agua Caliente Spring, Palm Springs, California","interactions":[],"lastModifiedDate":"2025-05-14T15:00:55.207211","indexId":"sir20115156","displayToPublicDate":"2011-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5156","title":"The source, discharge, and chemical characteristics of water from Agua Caliente Spring, Palm Springs, California","docAbstract":"<p><span>Agua Caliente Spring, in downtown Palm Springs, California, has been used for recreation and medicinal therapy for hundreds of years and currently (2008) is the source of hot water for the Spa Resort owned by the Agua Caliente Band of the Cahuilla Indians. The Agua Caliente Spring is located about 1,500 feet east of the eastern front of the San Jacinto Mountains on the southeast-sloping alluvial plain of the Coachella Valley. The objectives of this study were to (1) define the geologic structure associated with the Agua Caliente Spring; (2) define the source(s), and possibly the age(s), of water discharged by the spring; (3) ascertain the seasonal and longer-term variability of the natural discharge, water temperature, and chemical characteristics of the spring water; (4) evaluate whether water-level declines in the regional aquifer will influence the temperature of the spring discharge; and, (5) estimate the quantity of spring water that leaks out of the water-collector tank at the spring orifice.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115156","collaboration":"Prepared in cooperation with the Agua Caliente Band of Cahuilla Indians","usgsCitation":"Brandt, J., Catchings, R.D., Christensen, A.H., Flint, A.L., Gandhok, G., Goldman, M.R., Halford, K.J., Langenheim, V., Martin, P., Rymer, M.J., Schroeder, R.A., Smith, G.A., and Sneed, M., 2011, The source, discharge, and chemical characteristics of water from Agua Caliente Spring, Palm Springs, California: U.S. Geological Survey Scientific Investigations Report 2011-5156, xii, 106 p., https://doi.org/10.3133/sir20115156.","productDescription":"xii, 106 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":110981,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5156/","linkFileType":{"id":5,"text":"html"}},{"id":116686,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5156.jpg"}],"country":"United States","state":"California","city":"Palm Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.83333333333333,33.63333333333333 ], [ -116.83333333333333,34 ], [ -116.33333333333333,34 ], [ -116.33333333333333,33.63333333333333 ], [ -116.83333333333333,33.63333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4780e4b07f02db4821b8","contributors":{"editors":[{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725853,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Brandt, Justin 0000-0002-9397-6824","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":23269,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","affiliations":[],"preferred":false,"id":353908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":353901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Allen H. 0000-0002-7061-5591 ahchrist@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-5591","contributorId":1510,"corporation":false,"usgs":true,"family":"Christensen","given":"Allen","email":"ahchrist@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gandhok, Gini","contributorId":21274,"corporation":false,"usgs":true,"family":"Gandhok","given":"Gini","affiliations":[],"preferred":false,"id":353907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science 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,{"id":70004692,"text":"70004692 - 2011 - Silver bioaccumulation dynamics in a freshwater invertebrate after aqueous and dietary exposures to nanosized and ionic Ag","interactions":[],"lastModifiedDate":"2020-01-21T10:56:36","indexId":"70004692","displayToPublicDate":"2011-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Silver bioaccumulation dynamics in a freshwater invertebrate after aqueous and dietary exposures to nanosized and ionic Ag","docAbstract":"We compared silver (Ag) bioavailability and toxicity to a freshwater gastropod after exposure to ionic silver (Ag<sup>+</sup>) and to Ag nanoparticles (Ag NPs) capped with citrate or with humic acid. Silver form, exposure route, and capping agent influence Ag bioaccumulation dynamics in <i>Lymnaea stagnalis</i>. Snails efficiently accumulated Ag from all forms after either aqueous or dietary exposure. For both exposure routes, uptake rates were faster for Ag<sup>+</sup> than for Ag NPs. Snails efficiently assimilated Ag from Ag NPs mixed with diatoms (assimilation efficiency (AE) ranged from 49 to 58%) and from diatoms pre-exposed to Ag<sup>+</sup> (AE of 73%). In the diet, Ag NPs damaged digestion. Snails ate less and inefficiently processed the ingested food, which adversely impacted their growth. Loss rates of Ag were faster after waterborne exposure to Ag NPs than after exposure to dissolved Ag<sup>+</sup>. Once Ag was taken up from diet, whether from Ag<sup>+</sup> or Ag NPs, Ag was lost extremely slowly. Large Ag body concentrations are thus expected in <i>L. stagnalis</i> after dietborne exposures, especially to citrate-capped Ag NPs. Ingestion of Ag associated with particulate materials appears as the most important vector of uptake. Nanosilver exposure from food might trigger important environmental risks.","language":"English","publisher":"ACS Publications","doi":"10.1021/es200880c","usgsCitation":"le Croteau, M., Misra, S.K., Luoma, S.N., and Valsami-Jones, E., 2011, Silver bioaccumulation dynamics in a freshwater invertebrate after aqueous and dietary exposures to nanosized and ionic Ag: Environmental Science & Technology, v. 45, no. 15, p. 6600-6607, https://doi.org/10.1021/es200880c.","productDescription":"8 p.","startPage":"6600","endPage":"6607","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204323,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"15","noUsgsAuthors":false,"publicationDate":"2011-07-06","publicationStatus":"PW","scienceBaseUri":"505b8f4ae4b08c986b318e43","contributors":{"authors":[{"text":"le Croteau, Marie-Noe","contributorId":100994,"corporation":false,"usgs":true,"family":"le Croteau","given":"Marie-Noe","email":"","affiliations":[],"preferred":false,"id":351160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Misra, Superb K.","contributorId":91231,"corporation":false,"usgs":true,"family":"Misra","given":"Superb","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":351159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":351157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valsami-Jones, Eugenia","contributorId":26057,"corporation":false,"usgs":true,"family":"Valsami-Jones","given":"Eugenia","email":"","affiliations":[],"preferred":false,"id":351158,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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