{"pageNumber":"718","pageRowStart":"17925","pageSize":"25","recordCount":40783,"records":[{"id":70136146,"text":"70136146 - 2012 - Aerial survey estimates of fallow deer abundance","interactions":[],"lastModifiedDate":"2014-12-30T10:49:39","indexId":"70136146","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1153,"text":"California Fish and Game","active":true,"publicationSubtype":{"id":10}},"title":"Aerial survey estimates of fallow deer abundance","docAbstract":"<p>Reliable estimates of the distribution and abundance of an ungulate species is essential prior to establishing and implementing a management program. We used ground surveys to determine distribution and ground and aerial surveys and individually marked deer to estimate the abundance of fallow deer (Dama dama) in north-coastal California. Fallow deer had limited distribution and heterogeneous densities. Estimated post-rut densities across 4 annual surveys ranged from a low of 1.4 (SE=0.2) deer/km<sup>2</sup> to a high of 3.3 (se=0.5) deer/km<sup>2</sup> in a low density stratum and from 49.0 (SE=8.3) deer/km<sup>2</sup> to 111.6 deer/km<sup>2</sup> in a high density stratum. Sightability was positively influenced by the presence of white color-phase deer in a group and group size, and varied between airial and ground-based observers and by density strata. Our findings underscore the utility of double-observer surveys and aerial surveys with individually marked deer, both incorporating covariates to model sightability, to estimate deer abundance.</p>","language":"English","publisher":"State of California","usgsCitation":"Gogan, P.J., Gates, N.B., Lubow, B., and Pettit, S., 2012, Aerial survey estimates of fallow deer abundance: California Fish and Game, v. 98, no. 3, p. 135-147.","productDescription":"13 p.","startPage":"135","endPage":"147","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038193","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":296923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296922,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dfg.ca.gov/publications/journal/contents.html"}],"country":"United States","state":"California","county":"Marin County","otherGeospatial":"Point Reyes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.22265625000001,\n              37.839072305476435\n            ],\n            [\n              -123.22265625000001,\n              38.29963683199303\n            ],\n            [\n              -122.54425048828125,\n              38.29963683199303\n            ],\n            [\n              -122.54425048828125,\n              37.839072305476435\n            ],\n            [\n              -123.22265625000001,\n              37.839072305476435\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b2ae4b08de9379b3280","contributors":{"authors":[{"text":"Gogan, Peter J. 0000-0002-7821-133X peter_gogan@usgs.gov","orcid":"https://orcid.org/0000-0002-7821-133X","contributorId":1771,"corporation":false,"usgs":true,"family":"Gogan","given":"Peter","email":"peter_gogan@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":537151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gates, Natalie B.","contributorId":131074,"corporation":false,"usgs":false,"family":"Gates","given":"Natalie","email":"","middleInitial":"B.","affiliations":[{"id":7228,"text":"National Park Service, Point Reyes National Seashore","active":true,"usgs":false}],"preferred":false,"id":537153,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lubow, Bruce C.","contributorId":131076,"corporation":false,"usgs":false,"family":"Lubow","given":"Bruce C.","affiliations":[{"id":7230,"text":"Natural Resource Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":537152,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pettit, Suzanne","contributorId":131077,"corporation":false,"usgs":false,"family":"Pettit","given":"Suzanne","email":"","affiliations":[{"id":7228,"text":"National Park Service, Point Reyes National Seashore","active":true,"usgs":false}],"preferred":false,"id":537154,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70137537,"text":"70137537 - 2012 - Microsatellite marker isolation and development for the giant Pacific Octopus (<i>Enteroctopus dofleini</i>)","interactions":[],"lastModifiedDate":"2018-08-20T18:19:59","indexId":"70137537","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Microsatellite marker isolation and development for the giant Pacific Octopus (<i>Enteroctopus dofleini</i>)","docAbstract":"<p><span>We isolated and developed 18 novel microsatellite markers for the giant Pacific octopus (</span><i>Enteroctopus dofleini</i><span>) and examined them for 31 individuals from Prince William Sound (PWS), Alaska. These loci displayed moderate levels of allelic diversity (averaging 11 alleles per locus) and heterozygosity (averaging 65%). Seven loci deviated from Hardy&ndash;Weinberg Equilibrium (HWE) due to heterozygote deficiency for the PWS population, although deviations were not observed for all these loci in other populations, suggesting the PWS population is not in mutation-drift equilibrium. These novel microsatellite loci yielded sufficient genetic diversity for potential use in population genetics, individual identification, and parentage studies.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12686-011-9588-z","usgsCitation":"Toussaint, R.K., Sage, G.K., Talbot, S.L., and Scheel, D., 2012, Microsatellite marker isolation and development for the giant Pacific Octopus (<i>Enteroctopus dofleini</i>): Conservation Genetics Resources, v. 4, no. 3, p. 545-548, https://doi.org/10.1007/s12686-011-9588-z.","productDescription":"4 p.","startPage":"545","endPage":"548","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034450","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":297114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2011-12-21","publicationStatus":"PW","scienceBaseUri":"54dd2bfce4b08de9379b35c9","contributors":{"authors":[{"text":"Toussaint, Rebecca K.","contributorId":104376,"corporation":false,"usgs":false,"family":"Toussaint","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":537880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sage, G. Kevin 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":4348,"corporation":false,"usgs":true,"family":"Sage","given":"G.","email":"ksage@usgs.gov","middleInitial":"Kevin","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":537881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scheel, David","contributorId":53272,"corporation":false,"usgs":false,"family":"Scheel","given":"David","email":"","affiliations":[],"preferred":false,"id":537972,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70141428,"text":"70141428 - 2012 - Validation of a coupled wave-flow model in a high-energy setting: the mouth of the Columbia River","interactions":[],"lastModifiedDate":"2017-03-06T12:54:47","indexId":"70141428","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Validation of a coupled wave-flow model in a high-energy setting: the mouth of the Columbia River","docAbstract":"<p><span>&nbsp;A monthlong time series of wave, current, salinity, and suspended-sediment measurements was made at five sites on a transect across the Mouth of Columbia River (MCR). These data were used to calibrate and evaluate the performance of a coupled hydrodynamic and wave model for the MCR based on the Delft3D modeling system. The MCR is a dynamic estuary inlet in which tidal currents, river discharge, and wave-driven currents are all important. Model tuning consisted primarily of spatial adjustments to bottom drag coefficients. In combination with (near-) default parameter settings, the MCR model application is able to simulate the dominant features in the tidal flow, salinity and wavefields observed in field measurements. The wave-orbital averaged method for representing the current velocity profile in the wave model is considered the most realistic for the MCR. The hydrodynamic model is particularly effective in reproducing the observed vertical residual and temporal variations in current structure. Density gradients introduce the observed and modeled reversal of the mean flow at the bed and augment mean and peak flow in the upper half of the water column. This implies that sediment transport during calmer summer conditions is controlled by density stratification and is likely net landward due to the reversal of flow near the bed. The correspondence between observed and modeled hydrodynamics makes this application a tool to investigate hydrodynamics and associated sediment transport.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012JC008105","usgsCitation":"Elias, E.P., Gelfenbaum, G.R., and van der Westhuysen, A.J., 2012, Validation of a coupled wave-flow model in a high-energy setting: the mouth of the Columbia River: Journal of Geophysical Research C: Oceans, v. 117, no. C9, 21 p., https://doi.org/10.1029/2012JC008105.","productDescription":"21 p.","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042897","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012jc008105","text":"Publisher Index Page"},{"id":298050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.07958984375001,\n              46.06560846138691\n            ],\n            [\n              -124.07958984375001,\n              46.3810438458062\n            ],\n            [\n              -122.8216552734375,\n              46.3810438458062\n            ],\n            [\n              -122.8216552734375,\n              46.06560846138691\n            ],\n            [\n              -124.07958984375001,\n              46.06560846138691\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"117","issue":"C9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-11","publicationStatus":"PW","scienceBaseUri":"54e7173ce4b02d776a66a01d","contributors":{"authors":[{"text":"Elias, Edwin P.L.","contributorId":47295,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","email":"","middleInitial":"P.L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":540764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van der Westhuysen, Andre J.","contributorId":139312,"corporation":false,"usgs":false,"family":"van der Westhuysen","given":"Andre","email":"","middleInitial":"J.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":540765,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70136359,"text":"70136359 - 2012 - Can arsenic occurrence rate in bedrock aquifers be predicted?","interactions":[],"lastModifiedDate":"2014-12-30T14:15:38","indexId":"70136359","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","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":"Can arsenic occurrence rate in bedrock aquifers be predicted?","docAbstract":"<p><span>A high percentage (31%) of groundwater samples from bedrock aquifers in the greater Augusta area, Maine was found to contain greater than 10 &mu;g L</span><span>&ndash;1</span><span>&nbsp;of arsenic. Elevated arsenic concentrations are associated with bedrock geology, and more frequently observed in samples with high pH, low dissolved oxygen, and low nitrate. These associations were quantitatively compared by statistical analysis. Stepwise logistic regression models using bedrock geology and/or water chemistry parameters are developed and tested with external data sets to explore the feasibility of predicting groundwater arsenic occurrence rates (the percentages of arsenic concentrations higher than 10 &mu;g L</span><span>&ndash;1</span><span>) in bedrock aquifers. Despite the under-prediction of high arsenic occurrence rates, models including groundwater geochemistry parameters predict arsenic occurrence rates better than those with bedrock geology only. Such simple models with very few parameters can be applied to obtain a preliminary arsenic risk assessment in bedrock aquifers at local to intermediate scales at other localities with similar geology.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es203793x","usgsCitation":"Yang, Q., Jung, H.B., Marvinney, R.G., Culbertson, C.W., and Zheng, Y., 2012, Can arsenic occurrence rate in bedrock aquifers be predicted?: Environmental Science & Technology, v. 46, no. 4, p. 2080-2087, https://doi.org/10.1021/es203793x.","productDescription":"8 p.","startPage":"2080","endPage":"2087","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034607","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":474645,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.7916/d8rn3jhw","text":"External Repository"},{"id":296941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-02-09","publicationStatus":"PW","scienceBaseUri":"54dd2b4ae4b08de9379b32fd","contributors":{"authors":[{"text":"Yang, Qiang","contributorId":131129,"corporation":false,"usgs":false,"family":"Yang","given":"Qiang","email":"","affiliations":[{"id":7255,"text":"City University of New York, Queens College","active":true,"usgs":false}],"preferred":false,"id":537444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jung, Hun Bok","contributorId":131128,"corporation":false,"usgs":false,"family":"Jung","given":"Hun","email":"","middleInitial":"Bok","affiliations":[{"id":7255,"text":"City University of New York, Queens College","active":true,"usgs":false}],"preferred":false,"id":537445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvinney, Robert G.","contributorId":131130,"corporation":false,"usgs":false,"family":"Marvinney","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":537446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zheng, Yan","contributorId":99046,"corporation":false,"usgs":false,"family":"Zheng","given":"Yan","email":"","affiliations":[{"id":7255,"text":"City University of New York, Queens College","active":true,"usgs":false}],"preferred":false,"id":537448,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156813,"text":"70156813 - 2012 - Global digital elevation model development from satellite remote-sensing data","interactions":[],"lastModifiedDate":"2017-04-25T16:35:18","indexId":"70156813","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Global digital elevation model development from satellite remote-sensing data","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in mapping from remote sensor imagery: techniques and applications","language":"English","publisher":"CRC Press","doi":"10.1201/b13770-5","usgsCitation":"Gesch, D.B., 2012, Global digital elevation model development from satellite remote-sensing data, chap. <i>of</i> Advances in mapping from remote sensor imagery: techniques and applications, p. 91-117, https://doi.org/10.1201/b13770-5.","productDescription":"17 p.","startPage":"91","endPage":"117","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032270","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f565e4b0bc0bec0a161e","contributors":{"editors":[{"text":"Yang, Xiaojun","contributorId":147179,"corporation":false,"usgs":false,"family":"Yang","given":"Xiaojun","email":"","affiliations":[],"preferred":false,"id":570651,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Li, Jonathan","contributorId":146834,"corporation":false,"usgs":false,"family":"Li","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":570652,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":570650,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169879,"text":"70169879 - 2012 - Timing of wet snow avalanche activity: An analysis from Glacier National Park, Montana, USA.","interactions":[],"lastModifiedDate":"2017-04-25T10:41:57","indexId":"70169879","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Timing of wet snow avalanche activity: An analysis from Glacier National Park, Montana, USA.","docAbstract":"<p><span>Wet snow avalanches pose a problem for annual spring road opening operations along the Going-to-the-Sun Road (GTSR) in Glacier National Park, Montana, USA. A suite of meteorological metrics and snow observations has been used to forecast for wet slab and glide avalanche activity. However, the timing of spring wet slab and glide avalanches is a difficult process to forecast and requires new capabilities. For the 2011 and 2012 spring seasons we tested a previously developed classification tree model which had been trained on data from 2003-2010. For 2011, this model yielded a 91% predictive rate for avalanche days. For 2012, the model failed to capture any of the avalanche days observed. We then investigated these misclassified avalanche days in the 2012 season by comparing them to the misclassified days from the original dataset from which the model was trained. Results showed no significant difference in air temperature variables between this year and the original training data set for these misclassified days. This indicates that 2012 was characterized by avalanche days most similar to those that the model struggled with in the original training data. The original classification tree model showed air temperature to be a significant variable in wet avalanche activity which implies that subsequent movement of meltwater through the snowpack is also important. To further understand the timing of water flow we installed two lysimeters in fall 2011 before snow accumulation. Water flow showed a moderate correlation with air temperature later in the season and no synchronous pattern associated with wet slab and glide avalanche activity. We also characterized snowpack structure as the snowpack transitioned from a dry to a wet snowpack throughout the spring. This helped to assess potential failure layers of wet snow avalanches and the timing of avalanches compared to water moving through the snowpack. These tools (classification tree model and lysimeter data), combined with standard meteorological and avalanche observations, proved useful to forecasters regarding the timing of wet snow avalanche activity along the GTSR.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, 2012 International Snow Science Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2012 International Snow Science Workshop","conferenceDate":"September 16-21, 2012","conferenceLocation":"Anchorage, AK","language":"English","publisher":"International Snow Science Workshop","usgsCitation":"Peitzsch, E.H., Hendrikx, J., and Fagre, D.B., 2012, Timing of wet snow avalanche activity: An analysis from Glacier National Park, Montana, USA., <i>in</i> Proceedings, 2012 International Snow Science Workshop, Anchorage, AK, September 16-21, 2012, p. 884-891.","productDescription":"8 p.","startPage":"884","endPage":"891","ipdsId":"IP-039562","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":340124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340123,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://arc.lib.montana.edu/snow-science/item/1664"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fdbd19e4b007492829448b","contributors":{"authors":[{"text":"Peitzsch, Erich H. 0000-0001-7624-0455 epeitzsch@usgs.gov","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":3786,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","email":"epeitzsch@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":625435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hendrikx, Jordy","contributorId":166967,"corporation":false,"usgs":false,"family":"Hendrikx","given":"Jordy","affiliations":[{"id":13628,"text":"Department of Earth Sciences, P.O. Box 173480, Montana State University, Bozeman, MT, USA. 59717.","active":true,"usgs":false}],"preferred":false,"id":625436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":625434,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148290,"text":"70148290 - 2012 - Synthesis study of an erosion hot spot, Ocean Beach, California","interactions":[],"lastModifiedDate":"2015-05-27T09:56:08","indexId":"70148290","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis study of an erosion hot spot, Ocean Beach, California","docAbstract":"<p><span>A synthesis of multiple coastal morphodynamic research efforts is presented to identify the processes responsible for persistent erosion along a 1-km segment of 7-km-long Ocean Beach in San Francisco, California. The beach is situated adjacent to a major tidal inlet and in the shadow of the ebb-tidal delta at the mouth of San Francisco Bay. Ocean Beach is exposed to a high-energy wave climate and significant alongshore variability in forcing introduced by varying nearshore bathymetry, tidal forcing, and beach morphology (</span><i>e.g.</i><span>, beach variably backed by seawall, dunes, and bluffs). In addition, significant regional anthropogenic factors have influenced sediment supply and tidal current strength. A variety of techniques were employed to investigate the erosion at Ocean Beach, including historical shoreline and bathymetric analysis, monthly beach topographic surveys, nearshore and regional bathymetric surveys, beach and nearshore grain size analysis, two surf-zone hydrodynamic experiments, four sets of nearshore wave and current experiments, and several numerical modeling approaches. Here, we synthesize the results of 7&nbsp;years of data collection to lay out the causes of persistent erosion, demonstrating the effectiveness of integrating an array of data sets covering a huge range of spatial scales. The key findings are as follows: anthropogenic influences have reduced sediment supply from San Francisco Bay, leading to pervasive contraction (</span><i>i.e.</i><span>, both volume and area loss) of the ebb-tidal delta, which in turn reduced the regional grain size and modified wave focusing patterns along Ocean Beach, altering nearshore circulation and sediment transport patterns. In addition, scour associated with an exposed sewage outfall pipe causes a local depression in wave heights, significantly modifying nearshore circulation patterns that have been shown through modeling to be key drivers of persistent erosion in that area.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-11-00212.1","usgsCitation":"Barnard, P., Hansen, J., and Erikson, L., 2012, Synthesis study of an erosion hot spot, Ocean Beach, California: Journal of Coastal Research, v. 28, no. 4, p. 903-922, https://doi.org/10.2112/JCOASTRES-D-11-00212.1.","productDescription":"20 p.","startPage":"903","endPage":"922","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034984","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"Ocean Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.58132934570311,\n              37.77722770873696\n            ],\n            [\n              -122.58132934570311,\n              37.86347038587407\n            ],\n            [\n              -122.4151611328125,\n              37.86347038587407\n            ],\n            [\n              -122.4151611328125,\n              37.77722770873696\n            ],\n            [\n              -122.58132934570311,\n              37.77722770873696\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566eae4e4b0d9246a9ec302","contributors":{"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":138921,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Jeff E.","contributorId":60339,"corporation":false,"usgs":true,"family":"Hansen","given":"Jeff E.","affiliations":[],"preferred":false,"id":547670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erikson, Li H. lerikson@usgs.gov","contributorId":138920,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547671,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148038,"text":"70148038 - 2012 - Parameter estimation method and updating of regional prediction equations for ungaged sites in the desert region of California","interactions":[],"lastModifiedDate":"2015-11-06T15:07:31","indexId":"70148038","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Parameter estimation method and updating of regional prediction equations for ungaged sites in the desert region of California","docAbstract":"<p>The U.S. Geological Survey (USGS) is currently updating at-site flood frequency estimates for USGS streamflow-gaging stations in the desert region of California. The at-site flood-frequency analysis is complicated by short record lengths (less than 20 years is common) and numerous zero flows/low outliers at many sites. Estimates of the three parameters (mean, standard deviation, and skew) required for fitting the log Pearson Type 3 (LP3) distribution are likely to be highly unreliable based on the limited and heavily censored at-site data. In a generalization of the recommendations in Bulletin 17B, a regional analysis was used to develop regional estimates of all three parameters (mean, standard deviation, and skew) of the LP3 distribution. A regional skew value of zero from a previously published report was used with a new estimated mean squared error (MSE) of 0.20. A weighted least squares (WLS) regression method was used to develop both a regional standard deviation and a mean model based on annual peak-discharge data for 33 USGS stations throughout California&rsquo;s desert region. At-site standard deviation and mean values were determined by using an expected moments algorithm (EMA) method for fitting the LP3 distribution to the logarithms of annual peak-discharge data. Additionally, a multiple Grubbs-Beck (MGB) test, a generalization of the test recommended in Bulletin 17B, was used for detecting multiple potentially influential low outliers in a flood series. The WLS regression found that no basin characteristics could explain the variability of standard deviation. Consequently, a constant regional standard deviation model was selected, resulting in a log-space value of 0.91 with a MSE of 0.03 log units. Yet drainage area was found to be statistically significant at explaining the site-to-site variability in mean. The linear WLS regional mean model based on drainage area had a Pseudo- 2 R of 51 percent and a MSE of 0.32 log units. The regional parameter estimates were then used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged basins. The final equations are functions of drainage area.Average standard errors of prediction for these regression equations range from 214.2 to 856.2 percent.</p>","conferenceTitle":"World Environmental and Water Resources Congress 2012","conferenceDate":"Albuquerque, New Mexico, United States","conferenceLocation":"May 20-24, 2012","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784412312.238","collaboration":"FEMA","usgsCitation":"Barth, N.A., and Veilleux, A.G., 2012, Parameter estimation method and updating of regional prediction equations for ungaged sites in the desert region of California, World Environmental and Water Resources Congress 2012, May 20-24, 2012, Albuquerque, New Mexico, United States, p. 2356-2366, https://doi.org/10.1061/9780784412312.238.","productDescription":"11 p.","startPage":"2356","endPage":"2366","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034376","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":311099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Desert region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.45458984375,\n              37.89219554724437\n            ],\n            [\n              -117.70751953125,\n              35.24561909420681\n            ],\n            [\n              -117.83935546874999,\n              34.69646117272349\n            ],\n            [\n              -116.619873046875,\n              33.742612777346885\n            ],\n            [\n              -115.78491210937501,\n              32.63012300670739\n            ],\n            [\n              -114.521484375,\n              32.76880048488168\n            ],\n            [\n              -114.49951171875,\n              33.02708758002874\n            ],\n            [\n              -114.6533203125,\n              33.05471648804276\n            ],\n            [\n              -114.697265625,\n              33.247875947924385\n            ],\n            [\n              -114.730224609375,\n              33.358061612778876\n            ],\n            [\n              -114.6533203125,\n              33.46810795527896\n            ],\n            [\n              -114.5654296875,\n              33.568861182555565\n            ],\n            [\n              -114.510498046875,\n              33.815666308702774\n            ],\n            [\n              -114.521484375,\n              33.916013113401696\n            ],\n            [\n              -114.47753906249999,\n              34.03445260967645\n            ],\n            [\n              -114.345703125,\n              34.161818161230386\n            ],\n            [\n              -114.19189453125,\n              34.261756524459805\n            ],\n            [\n              -114.136962890625,\n              34.334364487026306\n            ],\n            [\n              -114.345703125,\n              34.488447837809304\n            ],\n            [\n              -114.554443359375,\n              34.77771580360469\n            ],\n            [\n              -114.63134765625001,\n              35.02999636902566\n            ],\n            [\n              -118.41064453125,\n              37.883524980871336\n            ],\n            [\n              -118.45458984375,\n              37.89219554724437\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-13","publicationStatus":"PW","scienceBaseUri":"563ddd42e4b0831b7d6271f3","contributors":{"authors":[{"text":"Barth, Nancy A. nabarth@usgs.gov","contributorId":3276,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":546916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":546915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70146239,"text":"70146239 - 2012 - Time-dependent onshore tsunami response","interactions":[],"lastModifiedDate":"2015-04-14T13:41:20","indexId":"70146239","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Time-dependent onshore tsunami response","docAbstract":"<p><span>While bulk measures of the onshore impact of a tsunami, including the maximum run-up elevation and inundation distance, are important for hazard planning, the temporal evolution of the onshore flow dynamics likely controls the extent of the onshore destruction and the erosion and deposition of sediment that occurs. However, the time-varying dynamics of actual tsunamis are even more difficult to measure in situ than the bulk parameters. Here, a numerical model based on the non-linear shallow water equations is used to examine the effects variations in the wave characteristics, bed slope, and bottom roughness have on the temporal evolution of the onshore flow. Model results indicate that the onshore flow dynamics vary significantly over the parameter space examined. For example, the flow dynamics over steep, smooth morphologies tend to be temporally symmetric, with similar magnitude velocities generated during the run-up and run-down phases of inundation. Conversely, on shallow, rough onshore topographies the flow dynamics tend to be temporally skewed toward the run-down phase of inundation, with the magnitude of the flow velocities during run-up and run-down being significantly different. Furthermore, for near-breaking tsunami waves inundating over steep topography, the flow velocity tends to accelerate almost instantaneously to a maximum and then decrease monotonically. Conversely, when very long waves inundate over shallow topography, the flow accelerates more slowly and can remain steady for a period of time before beginning to decelerate. These results indicate that a single set of assumptions concerning the onshore flow dynamics cannot be applied to all tsunamis, and site specific analyses may be required.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2012.01.001","usgsCitation":"Apotsos, A., Gelfenbaum, G.R., and Jaffe, B.E., 2012, Time-dependent onshore tsunami response: Coastal Engineering, v. 64, p. 73-86, https://doi.org/10.1016/j.coastaleng.2012.01.001.","productDescription":"14 p.","startPage":"73","endPage":"86","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031593","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":299673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"552e3a30e4b0b22a157fa0b1","chorus":{"doi":"10.1016/j.coastaleng.2012.01.001","url":"http://dx.doi.org/10.1016/j.coastaleng.2012.01.001","publisher":"Elsevier BV","authors":"Apotsos Alex, Gelfenbaum Guy, Jaffe Bruce","journalName":"Coastal Engineering","publicationDate":"6/2012"},"contributors":{"authors":[{"text":"Apotsos, Alex","contributorId":60997,"corporation":false,"usgs":true,"family":"Apotsos","given":"Alex","email":"","affiliations":[],"preferred":false,"id":544880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":544882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544881,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70146286,"text":"70146286 - 2012 - Arrival and expansion of the invasive foraminifera <i>Trochammina hadai</i> Uchio in Padilla Bay, Washington","interactions":[],"lastModifiedDate":"2022-02-01T21:08:56.86455","indexId":"70146286","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Arrival and expansion of the invasive foraminifera <i>Trochammina hadai</i> Uchio in Padilla Bay, Washington","docAbstract":"<p><i>Trochammina hadai</i><span><span class=\"Apple-converted-space\">&nbsp;</span>Uchio, a benthic foraminifera native to Japanese estuaries, was first identified as an invasive in 1995 in San Francisco Bay and later in 16 other west coast estuaries. To investigate the timing of the arrival and expansion of this invasive species in Padilla Bay, Washington, we analyzed the distribution of foraminifera in two surface samples collected in 1971, in nine surface samples collected by Scott in 1972&ndash;1973, as well as in two cores (Padilla Flats 3 and Padilla V1/V2) obtained in 2004.<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Trochanimina hadai</i><span>, originally identified as the native<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Trochammina pacifica</i><span><span class=\"Apple-converted-space\">&nbsp;</span>Cushman in several early foraminiferal studies, dominates the assemblage of most of the surface samples. In the Padilla V1/V2 and Padilla Flats 3 cores, the species' abundance follows a pattern of absence, first appearance, rapid expansion commonly seen shortly after the arrival of a successful biological invasion, setback, and second expansion. Using Q-mode cluster analysis, pre-expansion and expansion assemblages were identified. Pb-210 dating of these cores proved unsuccessful. However, based on<span class=\"Apple-converted-space\">&nbsp;</span></span><i>T. hadai's</i><span><span class=\"Apple-converted-space\">&nbsp;</span>first appearance occurring stratigraphically well above sedimentological changes in the cores that reflect deposition of sediments in the bay due to previous diversions of the Skagit River, and its dominance in the early 1970s surface samples, we conclude that the species arrived in Padilla Bay somewhere between the late 1800s and 1971.<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Trochammina hadai</i><span><span class=\"Apple-converted-space\">&nbsp;</span>may have been introduced into the bay in the 1930s when oyster culturing began there or, at a minimum, ten years prior to its appearance in San Francisco Bay.</span></p>","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.086.0102","usgsCitation":"McGann, M., Grossman, E., Takesue, R.K., Penttila, D., Walsh, J.P., and Corbett, R., 2012, Arrival and expansion of the invasive foraminifera <i>Trochammina hadai</i> Uchio in Padilla Bay, Washington: Northwest Science, v. 86, no. 1, p. 9-26, https://doi.org/10.3955/046.086.0102.","productDescription":"18 p.","startPage":"9","endPage":"26","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-027783","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474623,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3955/046.086.0102","text":"Publisher Index Page"},{"id":299692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Padilla Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.55489349365233,\n              48.57728857290222\n            ],\n            [\n              -122.5027084350586,\n              48.56524842925465\n            ],\n            [\n              -122.46906280517578,\n              48.47018983050313\n            ],\n            [\n              -122.5250244140625,\n              48.46017328524599\n            ],\n            [\n              -122.56725311279297,\n              48.49909013542774\n            ],\n            [\n              -122.55489349365233,\n              48.57728857290222\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"86","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"552f8bb2e4b0b22a158031e3","contributors":{"authors":[{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":2849,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":544935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":2334,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[],"preferred":false,"id":544934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Penttila, Dan","contributorId":140249,"corporation":false,"usgs":false,"family":"Penttila","given":"Dan","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":544937,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Walsh, John P.","contributorId":140250,"corporation":false,"usgs":false,"family":"Walsh","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":544938,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Corbett, Reide","contributorId":140251,"corporation":false,"usgs":false,"family":"Corbett","given":"Reide","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":544939,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70155848,"text":"70155848 - 2012 - Groundwater and surface-water exchange and resultingnNitrate dynamics in the Bogue Phalia Basin in northwestern Mississippi","interactions":[],"lastModifiedDate":"2022-11-15T16:09:38.395666","indexId":"70155848","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater and surface-water exchange and resultingnNitrate dynamics in the Bogue Phalia Basin in northwestern Mississippi","docAbstract":"<p><span>During April 2007 through September 2008, the USGS collected hydrogeologic and water-quality data from a site on the Bogue Phalia to evaluate the role of groundwater and surface-water interaction on the transport of nitrate to the shallow sand and gravel aquifer underlying the Mississippi Alluvial Plain in northwestern Mississippi. A two-dimensional groundwater/surface-water exchange model was developed using temperature and head data and VS2DH, a variably saturated flow and energy transport model. Results from this model showed that groundwater/surface-water exchange at the site occurred regularly and recharge was laterally extensive into the alluvial aquifer. Nitrate was consistently reported in surface-water samples (</span><i>n</i><span>&nbsp;= 52, median concentration = 39.8 &mu;mol/L) although never detected in samples collected from in-stream piezometers or shallow monitoring wells adjacent to the stream (</span><i>n</i><span>&nbsp;= 46). These two facts, consistent detections of nitrate in surface water and no detections of nitrate in groundwater, coupled with model results that indicate large amounts of surface water moving through an anoxic streambed, support the case for denitrification and nitrate loss through the streambed.</span></p>","language":"English","publisher":"Alliance of Crop, Soil, and Environmental Science Societies","doi":"10.2134/jeq2011.0087","usgsCitation":"Barlow, J.R., and Coupe, R.H., 2012, Groundwater and surface-water exchange and resultingnNitrate dynamics in the Bogue Phalia Basin in northwestern Mississippi: Journal of Environmental Quality, v. 41, no. 1, p. 155-169, https://doi.org/10.2134/jeq2011.0087.","productDescription":"15 p.","startPage":"155","endPage":"169","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024197","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":381802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Bogue Phalia Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.20421710355372,\n              34.156863209912004\n            ],\n            [\n              -90.75054266585917,\n              34.156863209912004\n            ],\n            [\n              -90.8764117905081,\n              34.12139801584064\n            ],\n            [\n              -91.1361842392514,\n              33.60994504300518\n            ],\n            [\n              -91.05316417831278,\n              33.117872488161694\n            ],\n            [\n              -90.22296356892653,\n              33.129086822630626\n            ],\n            [\n              -90.20689517003508,\n              34.156863209912004\n            ],\n            [\n              -90.20421710355372,\n              34.156863209912004\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-01-01","publicationStatus":"PW","scienceBaseUri":"55cc6e29e4b08400b1fe0fd2","contributors":{"authors":[{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coupe, Richard H. 0000-0001-8679-1015 rhcoupe@usgs.gov","orcid":"https://orcid.org/0000-0001-8679-1015","contributorId":551,"corporation":false,"usgs":true,"family":"Coupe","given":"Richard","email":"rhcoupe@usgs.gov","middleInitial":"H.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566595,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159358,"text":"70159358 - 2012 - Maximizing the utility of monitoring to the adaptive management of natural resources","interactions":[],"lastModifiedDate":"2021-10-21T15:36:09.17483","indexId":"70159358","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Maximizing the utility of monitoring to the adaptive management of natural resources","docAbstract":"<p><span>Data collection is an important step in any investigation about the structure or processes related to a natural system. In a purely scientific investigation (experiments, quasi-experiments, observational studies), data collection is part of the scientific method, preceded by the identification of hypotheses and the design of any manipulations of the system to test those hypotheses. Data collection and the manipulations that precede it are ideally designed to maximize the information that is derived from the study. That is, such investigations should be designed for maximum power to evaluate the relative validity of the hypotheses posed. When data collection is intended to inform the management of ecological systems, we call it monitoring. Note that our definition of monitoring encompasses a broader range of data-collection efforts than some alternative definitions &ndash; e.g. Chapter 3. The purpose of monitoring as we use the term can vary, from surveillance or &ldquo;thumb on the pulse&rdquo; monitoring (see Nichols and Williams 2006), intended to detect changes in a system due to any non-specified source (e.g. the North American Breeding Bird Survey), to very specific and targeted monitoring of the results of specific management actions (e.g. banding and aerial survey efforts related to North American waterfowl harvest management). Although a role of surveillance monitoring is to detect unanticipated changes in a system, the same result is possible from a collection of targeted monitoring programs distributed across the same spatial range (Box 4.1). In the face of limited budgets and many specific management questions, tying monitoring as closely as possible to management needs is warranted (Nichols and Williams 2006). Adaptive resource management (ARM; Walters 1986, Williams 1997, Kendall 2001, Moore and Conroy 2006, McCarthy and Possingham 2007, Conroy et al. 2008a) provides a context and specific purpose for monitoring: to evaluate decisions with respect to achievement of specific management objectives; and to evaluate the relative validity of predictive system models. This latter purpose is analogous to the role of data collection within the scientific method, in a research context.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Design and analysis of long-term ecological monitoring studies","language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge; New York","doi":"10.1017/CBO9781139022422.007","usgsCitation":"Kendall, W.L., and Moore, C., 2012, Maximizing the utility of monitoring to the adaptive management of natural resources, chap. <i>of</i> Design and analysis of long-term ecological monitoring studies, p. 74-98, https://doi.org/10.1017/CBO9781139022422.007.","productDescription":"24 p.","startPage":"74","endPage":"98","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028880","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":310570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562a08d8e4b011227bf1fd8a","contributors":{"editors":[{"text":"Gitzen, Robert A.","contributorId":75498,"corporation":false,"usgs":true,"family":"Gitzen","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":578197,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cooper, Andrew B.","contributorId":112048,"corporation":false,"usgs":true,"family":"Cooper","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":578198,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Millspaugh, Joshua J.","contributorId":11141,"corporation":false,"usgs":false,"family":"Millspaugh","given":"Joshua J.","affiliations":[],"preferred":false,"id":578199,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Licht, Daniel S.","contributorId":113213,"corporation":false,"usgs":true,"family":"Licht","given":"Daniel S.","affiliations":[],"preferred":false,"id":578200,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":578195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Clinton T.","contributorId":9767,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton T.","affiliations":[],"preferred":false,"id":578196,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70157307,"text":"70157307 - 2012 - Role of remote sensing for land-use and land-cover change modeling","interactions":[],"lastModifiedDate":"2024-06-20T14:48:38.865562","indexId":"70157307","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Role of remote sensing for land-use and land-cover change modeling","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of land use and land cover: Principles and applications","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","doi":"10.1201/b11964-18","usgsCitation":"Sohl, T., and Sleeter, B., 2012, Role of remote sensing for land-use and land-cover change modeling, chap. 15 <i>of</i> Remote sensing of land use and land cover: Principles and applications, p. 225-239, https://doi.org/10.1201/b11964-18.","productDescription":"15 p.","startPage":"225","endPage":"239","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":308268,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fbe445e4b05d6c4e5028f7","contributors":{"editors":[{"text":"Giri, Chandra P.","contributorId":57379,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":572655,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Sohl, Terry 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":81861,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":572653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin","contributorId":48927,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","affiliations":[],"preferred":false,"id":572654,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035463,"text":"70035463 - 2012 - GONe: Software for estimating effective population size in species with generational overlap","interactions":[],"lastModifiedDate":"2020-11-23T17:10:47.117736","indexId":"70035463","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"GONe: Software for estimating effective population size in species with generational overlap","docAbstract":"<p>GONe is a user‐friendly, Windows‐based program for estimating effective size (N<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><i></i></span><sub>e</sub>) in populations with overlapping generations. It uses the Jorde–Ryman modification to the temporal method to account for age structure in populations. This method requires estimates of age‐specific survival and birth rate and allele frequencies measured in two or more consecutive cohorts. Allele frequencies are acquired by reading in genotypic data from files formatted for either GENEPOP or TEMPOFS. For each interval between consecutive cohorts, Ne is estimated at each locus and over all loci. Furthermore, Ne estimates are output for three different genetic drift estimators (<i>F</i><sub><i>s</i></sub><span>,&nbsp;</span><i>F</i><sub><i>c</i></sub><span>&nbsp;and&nbsp;</span><i>F</i><sub><i>k</i></sub>). Confidence intervals are derived from a chi‐square distribution with degrees of freedom equal to the number of independent alleles. GONe has been validated over a wide range of Ne values, and for scenarios where survival and birth rates differ between sexes, sex ratios are unequal and reproductive variances differ.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1755-0998.2011.03057.x","issn":"1755098X","usgsCitation":"Coombs, J., Letcher, B., and Nislow, K., 2012, GONe: Software for estimating effective population size in species with generational overlap: Molecular Ecology Resources, v. 12, no. 1, p. 160-163, https://doi.org/10.1111/j.1755-0998.2011.03057.x.","productDescription":"4 p.","startPage":"160","endPage":"163","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":242880,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215106,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1755-0998.2011.03057.x"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-09","publicationStatus":"PW","scienceBaseUri":"505a1478e4b0c8380cd54a4d","contributors":{"authors":[{"text":"Coombs, J.A.","contributorId":91295,"corporation":false,"usgs":true,"family":"Coombs","given":"J.A.","affiliations":[],"preferred":false,"id":450790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, B. H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":48132,"corporation":false,"usgs":true,"family":"Letcher","given":"B.","middleInitial":"H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":450788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, K.H.","contributorId":66477,"corporation":false,"usgs":true,"family":"Nislow","given":"K.H.","affiliations":[],"preferred":false,"id":450789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156869,"text":"70156869 - 2012 - Modelling reintroduced populations: The state of the art and future directions","interactions":[],"lastModifiedDate":"2021-11-10T16:03:11.84913","indexId":"70156869","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Modelling reintroduced populations: The state of the art and future directions","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reintroduction biology: Integrating science and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1002/9781444355833.ch6","usgsCitation":"Armstrong, D., and Reynolds, M.H., 2012, Modelling reintroduced populations: The state of the art and future directions, chap. <i>of</i> Reintroduction biology: Integrating science and management, p. 165-222, https://doi.org/10.1002/9781444355833.ch6.","productDescription":"58 p.","startPage":"165","endPage":"222","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033083","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":307760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-02-21","publicationStatus":"PW","scienceBaseUri":"560bb6d6e4b058f706e53d90","contributors":{"editors":[{"text":"Ewen, John G.","contributorId":140270,"corporation":false,"usgs":false,"family":"Ewen","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":13431,"text":"Zoological Society of London","active":true,"usgs":false}],"preferred":false,"id":570889,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Armstrong, Doug P.","contributorId":24675,"corporation":false,"usgs":true,"family":"Armstrong","given":"Doug P.","affiliations":[],"preferred":false,"id":570890,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Park, Kevin","contributorId":147257,"corporation":false,"usgs":false,"family":"Park","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":570891,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Seddon, Phillip J.","contributorId":147258,"corporation":false,"usgs":false,"family":"Seddon","given":"Phillip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":570892,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Armstrong, Doug P.","contributorId":24675,"corporation":false,"usgs":true,"family":"Armstrong","given":"Doug P.","affiliations":[],"preferred":false,"id":570887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":570888,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032618,"text":"70032618 - 2012 - El Niño-Southern oscillation variability from the late cretaceous marca shale of California","interactions":[],"lastModifiedDate":"2013-09-06T14:30:39","indexId":"70032618","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"El Niño-Southern oscillation variability from the late cretaceous marca shale of California","docAbstract":"Changes in the possible behavior of El Niño–Southern Oscillation (ENSO) with global warming have provoked interest in records of ENSO from past “greenhouse” climate states. The latest Cretaceous laminated Marca Shale of California permits a seasonal-scale reconstruction of water column flux events and hence interannual paleoclimate variability. The annual flux cycle resembles that of the modern Gulf of California with diatoms characteristic of spring upwelling blooms followed by silt and clay, and is consistent with the existence of a paleo–North American Monsoon that brought input of terrigenous sediment during summer storms and precipitation runoff. Variation is also indicated in the extent of water column oxygenation by differences in lamina preservation. Time series analysis of interannual variability in terrigenous sediment and diatom flux and in the degree of bioturbation indicates strong periodicities in the quasi-biennial (2.1–2.8 yr) and low-frequency (4.1–6.3 yr) bands both characteristic of ENSO forcing, as well as decadal frequencies. This evidence for robust Late Cretaceous ENSO variability does not support the theory of a “permanent El Niño,” in the sense of a continual El Niño–like state, in periods of warmer climate.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/G32329.1","issn":"00917613","usgsCitation":"Davies, A., Kemp, A.E., Weedon, G.P., and Barron, J.A., 2012, El Niño-Southern oscillation variability from the late cretaceous marca shale of California: Geology, v. 40, no. 1, p. 15-18, https://doi.org/10.1130/G32329.1.","productDescription":"4 p.","startPage":"15","endPage":"18","numberOfPages":"4","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":213698,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G32329.1"},{"id":241352,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.9,36.6 ], [ -120.9,36.833333 ], [ -120.7,36.833333 ], [ -120.7,36.6 ], [ -120.9,36.6 ] ] ] } } ] }","volume":"40","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a087de4b0c8380cd51b35","contributors":{"authors":[{"text":"Davies, Andrew","contributorId":71394,"corporation":false,"usgs":true,"family":"Davies","given":"Andrew","affiliations":[],"preferred":false,"id":437074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kemp, Alan E.S.","contributorId":51993,"corporation":false,"usgs":true,"family":"Kemp","given":"Alan","email":"","middleInitial":"E.S.","affiliations":[],"preferred":false,"id":437073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weedon, Graham P.","contributorId":13048,"corporation":false,"usgs":true,"family":"Weedon","given":"Graham","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":437072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":437071,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032649,"text":"70032649 - 2012 - Updated determination of stress parameters for nine well-recorded earthquakes in eastern North America","interactions":[],"lastModifiedDate":"2017-10-17T16:51:03","indexId":"70032649","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","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":"Updated determination of stress parameters for nine well-recorded earthquakes in eastern North America","docAbstract":"<p><span>Stress parameters (Δ</span><i>σ</i><span>) are determined for nine relatively well-recorded earthquakes in eastern North America for ten attenuation models. This is an update of a previous study by Boore<span>&nbsp;</span></span><i>et al.</i><span><span>&nbsp;</span>(2010). New to this paper are observations from the 2010 Val des Bois earthquake, additional observations for the 1988 Saguenay and 2005 Riviere du Loup earthquakes, and consideration of six attenuation models in addition to the four used in the previous study. As in that study, it is clear that Δ</span><i>σ</i><span><span>&nbsp;</span>depends strongly on the rate of geometrical spreading (as well as other model parameters). The observations necessary to determine conclusively which attenuation model best fits the data are still lacking. At this time, a simple 1/</span><i>R</i><span><span>&nbsp;</span>model seems to give as good an overall fit to the data as more complex models.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/gssrl.83.1.190","issn":"08950695","usgsCitation":"Boore, D.M., 2012, Updated determination of stress parameters for nine well-recorded earthquakes in eastern North America: Seismological Research Letters, v. 83, no. 1, p. 190-199, https://doi.org/10.1785/gssrl.83.1.190.","productDescription":"10 p.","startPage":"190","endPage":"199","numberOfPages":"10","ipdsId":"IP-034108","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":241355,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213701,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/gssrl.83.1.190"}],"volume":"83","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-09","publicationStatus":"PW","scienceBaseUri":"505bbd16e4b08c986b328ebe","contributors":{"authors":[{"text":"Boore, David M. boore@usgs.gov","contributorId":2509,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":437265,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70035654,"text":"70035654 - 2012 - Recent paleorecords document rising mercury contamination in Lake Tanganyika","interactions":[],"lastModifiedDate":"2020-11-16T21:20:59.329352","indexId":"70035654","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Recent paleorecords document rising mercury contamination in Lake Tanganyika","docAbstract":"<p><span>Recent Lake Tanganyika Hg deposition records were derived using&nbsp;</span><sup>14</sup><span>C and excess&nbsp;</span><sup>210</sup><span>Pb geochronometers in sediment cores collected from two contrasting depositional environments: the Kalya Platform, located mid-lake and more removed from watershed impacts, and the Nyasanga/Kahama River delta region, located close to the lake’s shoreline north of Kigoma. At the Kalya Platform area, pre-industrial Hg concentrations are 23</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.2</span><span>&nbsp;</span><span>ng/g, increasing to 74</span><span>&nbsp;</span><span>ng/g in modern surface sediment, and the Hg accumulation rate has increased from 1.0 to 7.2</span><span>&nbsp;</span><span>μg/m</span><sup>2</sup><span>/a from pre-industrial to present, which overall represents a 6-fold increase in Hg concentration and accumulation. At the Nyasanga/Kahama delta region, pre-industrial Hg concentrations are 20</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>3</span><span>&nbsp;</span><span>ng/g, increasing to 46</span><span>&nbsp;</span><span>ng/g in surface sediment. Mercury accumulation rate has increased from 30 to 70</span><span>&nbsp;</span><span>μg/m</span><sup>2</sup><span>/a at this site, representing a 2–3-fold increase in Hg concentration and accumulation. There is a lack of correlation between charcoal abundance and Hg accumulation rate in the sediment cores, demonstrating that local biomass burning has little relationship with the observed Hg concentration or Hg accumulation rates. Examined using a sediment focusing-corrected mass accumulation rate approach, the cores have similar anthropogenic atmospheric Hg deposition profiles, suggesting that after accounting for background sediment concentrations the source of accumulating Hg is predominantly atmospheric in origin. In summary, the data document an increase of Hg flux to the Lake Tanganyika ecosystem that is consistent with increasing watershed sediment delivery with background-level Hg contamination, and regional as well as global increases in atmospheric Hg deposition.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.11.005","issn":"08832927","usgsCitation":"Conaway, C.H., Swarzenski, P.W., and Cohen, A., 2012, Recent paleorecords document rising mercury contamination in Lake Tanganyika: Applied Geochemistry, v. 27, no. 1, p. 352-359, https://doi.org/10.1016/j.apgeochem.2011.11.005.","productDescription":"8 p.","startPage":"352","endPage":"359","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244359,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216486,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.11.005"}],"country":"United States","county":"Tanzania, the Democratic Republic of the Congo , Burundi, and Zambia","otherGeospatial":"Lake Tanganyika","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              28.872070312500004,\n              -3.2063329870791315\n            ],\n            [\n              28.872070312500004,\n              -5.98760689165826\n            ],\n            [\n              30.344238281249996,\n              -8.646195681181904\n            ],\n            [\n              31.09130859375,\n              -9.123792057073972\n            ],\n            [\n              31.61865234375,\n              -8.885071663468981\n            ],\n            [\n              29.487304687499996,\n              -3.118576216781991\n            ],\n            [\n              28.872070312500004,\n              -3.2063329870791315\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9630e4b0c8380cd81e5b","contributors":{"authors":[{"text":"Conaway, Christopher H. 0000-0002-0991-033X cconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":5074,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher","email":"cconaway@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":451690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":451689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohen, A.S.","contributorId":19313,"corporation":false,"usgs":true,"family":"Cohen","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":451688,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035652,"text":"70035652 - 2012 - Initiation of long-term coupled microbiological, geochemical, and hydrological experimentation within the seafloor at North Pond, western flank of the Mid-Atlantic Ridge","interactions":[],"lastModifiedDate":"2020-11-24T12:33:25.521792","indexId":"70035652","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2007,"text":"Integrated Ocean Drilling Program: Preliminary Reports","active":true,"publicationSubtype":{"id":10}},"title":"Initiation of long-term coupled microbiological, geochemical, and hydrological experimentation within the seafloor at North Pond, western flank of the Mid-Atlantic Ridge","docAbstract":"<p>Integrated Ocean Drilling Program (IODP) Expedition 336 successfully initiated subseafloor observatory science at a young mid-ocean-ridge flank setting. All of the drilled sites are located in the North Pond region of the Atlantic Ocean (22°45′N, 46°05′W) in 4414–4483 m water depth. This area is known from previous ocean drilling and site survey investigations as a site of particularly vigorous circulation of seawater in permeable 8 Ma basaltic basement underlying a &lt;300 m thick sedimentary pile. Understanding how this seawater circulation affects microbial and geochemical processes in the uppermost basement was the primary science objective of Expedition 336. </p><p>Basement was cored and wireline-logged in Holes U1382A and U1383C. Upper oceanic crust in Hole U1382A, which is only 50 m west of Deep Sea Drilling Project (DSDP) Hole 395A, recovered 32 m of core between 110 and 210 meters below seafloor (mbsf). Core recovery in basement was 32%, yielding a number of volcanic flow units with distinct geochemical and petrographic characteristics. A unit of sedimentary breccia containing clasts of basalt, gabbroic rocks, and mantle peridotite was found intercalated between two volcanic flow units and was interpreted as a rock slide deposit. From Hole U1383C we recovered 50.3 m of core between 69.5 and 331.5 mbsf (19%). The basalts are aphyric to highly plagioclase-olivine-phyric tholeiites that fall on a liquid line of descent controlled by olivine fractionation. They are fresh to moderately altered, with clay minerals (saponite, nontronite, and celadonite), Fe oxyhydroxide, carbonate, and zeolite as secondary phases replacing glass and olivine to variable extents. In addition to traditional downhole logs, we also used a new logging tool for detecting in situ microbial life in ocean floor boreholes—the Deep Exploration Biosphere Investigative tool (DEBI-t). </p><p>Sediment thickness was ~90 m at Sites U1382 and U1384 and varied between 38 and 53 m at Site U1383. The sediments are predominantly nannofossil ooze with layers of coarse foraminiferal sand and occasional pebble-size clasts of basalt, serpentinite, gabbroic rocks, and bivalve debris. The bottommost meters of sections cored with the advanced piston corer feature brown clay. Extended core barrel coring at the sediment/ basement interface recovered &lt;1 m of brecciated basalt with micritic limestone. Sediments were intensely sampled for geochemical pore water analyses and microbiological work. In addition, high-resolution measurements of dissolved oxygen concentration were performed on the whole-round sediment cores</p><p>Major strides in ridge-flank studies have been made with subseafloor borehole observatories (CORKs) because they facilitate combined hydrological, geochemical, and microbiological studies and controlled experimentation in the subseafloor. During Expedition 336, two fully functional observatories were installed in two newly drilled holes (U1382A and U1383C) and an instrument and sampling string were placed in an existing hole (395A). Although the CORK wellhead in Hole 395A broke off and Hole U1383B was abandoned after a bit failure, these holes and installations are intended for future observatory science targets. The CORK observatory in Hole U1382A has a packer seal in the bottom of the casing and monitors/samples a single zone in uppermost oceanic crust extending from 90 to 210 mbsf. Hole U1383C was equipped with a three-level CORK observatory that spans a zone of thin basalt flows with intercalated limestone (~70–146 mbsf), a zone of glassy, thin basaltic flows and hyaloclastites (146–200 mbsf), and a lowermost zone (~200–331.5 mbsf) of more massive pillow flows with occasional hyaloclastites in the upper part.</p>","language":"English","publisher":"IODP","doi":"10.2204/iodp.pr.336.2012","issn":"19329423","usgsCitation":"Edwards, K., Backert, N., Bach, W., Becker, K., Klaus, A., Griffin, D., Anderson, L., Haddad, A., Harigane, Y., Campion, P., Hirayama, H., Mills, H., Hulme, S., Nakamura, K., Jorgensen, S., Orcutt, B., Insua, T., Park, Y., Rennie, V., Salas, E., Rouxel, O., Wang, F., Russel, J., Wheat, C., Sakata, K., Brown, M., Magnusson, J., and Ettlinger, Z., 2012, Initiation of long-term coupled microbiological, geochemical, and hydrological experimentation within the seafloor at North Pond, western flank of the Mid-Atlantic Ridge: Integrated Ocean Drilling Program: Preliminary Reports, p. 1-72, https://doi.org/10.2204/iodp.pr.336.2012.","productDescription":"336, 72 p.","startPage":"1","endPage":"72","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474682,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2204/iodp.pr.336.2012","text":"Publisher Index Page"},{"id":244327,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-01-09","publicationStatus":"PW","scienceBaseUri":"505a3bf1e4b0c8380cd62951","contributors":{"authors":[{"text":"Edwards, K.J.","contributorId":101090,"corporation":false,"usgs":true,"family":"Edwards","given":"K.J.","email":"","affiliations":[],"preferred":false,"id":451666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Backert, N.","contributorId":51127,"corporation":false,"usgs":true,"family":"Backert","given":"N.","email":"","affiliations":[],"preferred":false,"id":451650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bach, W.","contributorId":65673,"corporation":false,"usgs":true,"family":"Bach","given":"W.","affiliations":[],"preferred":false,"id":451656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Becker, K.","contributorId":96437,"corporation":false,"usgs":true,"family":"Becker","given":"K.","affiliations":[],"preferred":false,"id":451664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klaus, A.","contributorId":70957,"corporation":false,"usgs":true,"family":"Klaus","given":"A.","email":"","affiliations":[],"preferred":false,"id":451658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Griffin, Dale W.","contributorId":23668,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":451646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, L.","contributorId":22571,"corporation":false,"usgs":false,"family":"Anderson","given":"L.","affiliations":[],"preferred":false,"id":451645,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haddad, A.G.","contributorId":52427,"corporation":false,"usgs":true,"family":"Haddad","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":451651,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Harigane, Y.","contributorId":16673,"corporation":false,"usgs":true,"family":"Harigane","given":"Y.","email":"","affiliations":[],"preferred":false,"id":451641,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Campion, P.L.","contributorId":60470,"corporation":false,"usgs":true,"family":"Campion","given":"P.L.","email":"","affiliations":[],"preferred":false,"id":451654,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hirayama, H.","contributorId":20569,"corporation":false,"usgs":true,"family":"Hirayama","given":"H.","email":"","affiliations":[],"preferred":false,"id":451642,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mills, H.J.","contributorId":65302,"corporation":false,"usgs":true,"family":"Mills","given":"H.J.","email":"","affiliations":[],"preferred":false,"id":451655,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hulme, S.M.","contributorId":89746,"corporation":false,"usgs":true,"family":"Hulme","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":451663,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nakamura, K.","contributorId":78866,"corporation":false,"usgs":true,"family":"Nakamura","given":"K.","email":"","affiliations":[],"preferred":false,"id":451660,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jorgensen, S.L.","contributorId":72617,"corporation":false,"usgs":true,"family":"Jorgensen","given":"S.L.","affiliations":[],"preferred":false,"id":451659,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Orcutt, B.","contributorId":38389,"corporation":false,"usgs":true,"family":"Orcutt","given":"B.","email":"","affiliations":[],"preferred":false,"id":451647,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Insua, T.L.","contributorId":21007,"corporation":false,"usgs":true,"family":"Insua","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":451643,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Park, Y.-S.","contributorId":105556,"corporation":false,"usgs":true,"family":"Park","given":"Y.-S.","email":"","affiliations":[],"preferred":false,"id":451667,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Rennie, V.","contributorId":67752,"corporation":false,"usgs":true,"family":"Rennie","given":"V.","email":"","affiliations":[],"preferred":false,"id":451657,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Salas, E.C.","contributorId":85005,"corporation":false,"usgs":true,"family":"Salas","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":451661,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Rouxel, O.","contributorId":101089,"corporation":false,"usgs":true,"family":"Rouxel","given":"O.","email":"","affiliations":[],"preferred":false,"id":451665,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Wang, F.","contributorId":42390,"corporation":false,"usgs":true,"family":"Wang","given":"F.","email":"","affiliations":[],"preferred":false,"id":451649,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Russel, J.A.","contributorId":41244,"corporation":false,"usgs":true,"family":"Russel","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":451648,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Wheat, C.G.","contributorId":59249,"corporation":false,"usgs":true,"family":"Wheat","given":"C.G.","email":"","affiliations":[],"preferred":false,"id":451653,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Sakata, K.","contributorId":85794,"corporation":false,"usgs":true,"family":"Sakata","given":"K.","email":"","affiliations":[],"preferred":false,"id":451662,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Brown, M.","contributorId":7655,"corporation":false,"usgs":true,"family":"Brown","given":"M.","affiliations":[],"preferred":false,"id":451640,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Magnusson, J.L.","contributorId":54036,"corporation":false,"usgs":true,"family":"Magnusson","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":451652,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Ettlinger, Z.","contributorId":22171,"corporation":false,"usgs":true,"family":"Ettlinger","given":"Z.","email":"","affiliations":[],"preferred":false,"id":451644,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70032540,"text":"70032540 - 2012 - A multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data","interactions":[],"lastModifiedDate":"2020-11-30T21:58:43.196979","indexId":"70032540","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data","docAbstract":"<p><span>Lake Turkana is one of the largest desert lakes in the world and is characterized by high degrees of inter- and intra-annual fluctuations. The hydrology and water balance of this lake have not been well understood due to its remote location and unavailability of reliable ground truth datasets. Managing surface water resources is a great challenge in areas where in-situ data are either limited or unavailable. In this study, multi-source satellite-driven data such as satellite-based rainfall estimates, modelled runoff, evapotranspiration, and a digital elevation dataset were used to model Lake Turkana water levels from 1998 to 2009. Due to the unavailability of reliable lake level data, an approach is presented to calibrate and validate the water balance model of Lake Turkana using a composite lake level product of TOPEX/Poseidon, Jason-1, and ENVISAT satellite altimetry data. Model validation results showed that the satellite-driven water balance model can satisfactorily capture the patterns and seasonal variations of the Lake Turkana water level fluctuations with a Pearson's correlation coefficient of 0.90 and a Nash-Sutcliffe Coefficient of Efficiency (NSCE) of 0.80 during the validation period (2004–2009). Model error estimates were within 10% of the natural variability of the lake. Our analysis indicated that fluctuations in Lake Turkana water levels are mainly driven by lake inflows and over-the-lake evaporation. Over-the-lake rainfall contributes only up to 30% of lake evaporative demand. During the modelling time period, Lake Turkana showed seasonal variations of 1–2 m. The lake level fluctuated in the range up to 4 m between the years 1998–2009. This study demonstrated the usefulness of satellite altimetry data to calibrate and validate the satellite-driven hydrological model for Lake Turkana without using any in-situ data. Furthermore, for Lake Turkana, we identified and outlined opportunities and challenges of using a calibrated satellite-driven water balance model for (i) quantitative assessment of the impact of basin developmental activities on lake levels and for (ii) forecasting lake level changes and their impact on fisheries. From this study, we suggest that globally available satellite altimetry data provide a unique opportunity for calibration and validation of hydrologic models in ungauged basins.</span></p>","language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/hess-16-1-2012","issn":"10275606","usgsCitation":"Velpuri, N., Senay, G., and Asante, K., 2012, A multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data: Hydrology and Earth System Sciences, v. 16, no. 1, p. 1-18, https://doi.org/10.5194/hess-16-1-2012.","productDescription":"18 p.","startPage":"1","endPage":"18","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474744,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-16-1-2012","text":"Publisher Index Page"},{"id":241758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214070,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hess-16-1-2012"}],"country":"Kenya","otherGeospatial":"Lake Turkana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              35.79345703125,\n              2.4162756547063857\n            ],\n            [\n              36.8701171875,\n              2.4162756547063857\n            ],\n            [\n              36.8701171875,\n              4.718777551249855\n            ],\n            [\n              35.79345703125,\n              4.718777551249855\n            ],\n            [\n              35.79345703125,\n              2.4162756547063857\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-03","publicationStatus":"PW","scienceBaseUri":"5059e48be4b0c8380cd466ee","contributors":{"authors":[{"text":"Velpuri, N.M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":66495,"corporation":false,"usgs":true,"family":"Velpuri","given":"N.M.","affiliations":[],"preferred":false,"id":436730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":152206,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","email":"senay@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":436729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asante, K.O. 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":17051,"corporation":false,"usgs":true,"family":"Asante","given":"K.O.","affiliations":[],"preferred":false,"id":436728,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035210,"text":"70035210 - 2012 - Surface heat flow and CO2 emissions within the Ohaaki hydrothermal field, Taupo Volcanic Zone, New Zealand","interactions":[],"lastModifiedDate":"2020-12-07T17:42:31.928065","indexId":"70035210","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Surface heat flow and CO<sub>2</sub> emissions within the Ohaaki hydrothermal field, Taupo Volcanic Zone, New Zealand","title":"Surface heat flow and CO2 emissions within the Ohaaki hydrothermal field, Taupo Volcanic Zone, New Zealand","docAbstract":"<p><span>Carbon dioxide emissions and heat flow have been determined from the Ohaaki hydrothermal field, Taupo Volcanic Zone (TVZ), New Zealand following 20</span><span>&nbsp;</span><span>a of production (116</span><span>&nbsp;</span><span>MW</span><sub>e</sub><span>). Soil CO</span><sub>2</sub><span>&nbsp;degassing was quantified with 2663 CO</span><sub>2</sub><span>&nbsp;flux measurements using the accumulation chamber method, and 2563 soil temperatures were measured and converted to equivalent heat flow (W</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>) using published soil temperature heat flow functions. Both CO</span><sub>2</sub><span>&nbsp;flux and heat flow were analysed statistically and then modelled using 500 sequential Gaussian simulations. Forty subsoil CO</span><sub>2</sub><span>&nbsp;gas samples were also analysed for stable C isotopes. Following 20</span><span>&nbsp;</span><span>a of production, current CO</span><sub>2</sub><span>&nbsp;emissions equated to 111</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>6.7</span><span>&nbsp;</span><span>T/d. Observed heat flow was 70</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>6.4</span><span>&nbsp;</span><span>MW, compared with a pre-production value of 122</span><span>&nbsp;</span><span>MW. This 52</span><span>&nbsp;</span><span>MW reduction in surface heat flow is due to production-induced drying up of all alkali–Cl outflows (61.5</span><span>&nbsp;</span><span>MW) and steam-heated pools (8.6</span><span>&nbsp;</span><span>MW) within the Ohaaki West thermal area (OHW). The drying up of all alkali–Cl outflows at Ohaaki means that the soil zone is now the major natural pathway of heat release from the high-temperature reservoir. On the other hand, a net gain in thermal ground heat flow of 18</span><span>&nbsp;</span><span>MW (from 25</span><span>&nbsp;</span><span>MW to 43.3</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>5</span><span>&nbsp;</span><span>MW) at OHW is associated with permeability increases resulting from surface unit fracturing by production-induced ground subsidence. The Ohaaki East (OHE) thermal area showed no change in distribution of shallow and deep soil temperature contours despite 20</span><span>&nbsp;</span><span>a of production, with an observed heat flow of 26.7</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>3</span><span>&nbsp;</span><span>MW and a CO</span><sub>2</sub><span>&nbsp;emission rate of 39</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>3</span><span>&nbsp;</span><span>T/d. The negligible change in the thermal status of the OHE thermal area is attributed to the low permeability of the reservoir beneath this area, which has limited production (mass extraction) and sheltered the area from the pressure decline within the main reservoir. Chemistry suggests that although alkali–Cl outflows once contributed significantly to the natural surface heat flow (∼50%) they contributed little (&lt;1%) to pre-production CO</span><sub>2</sub><span>&nbsp;emissions due to the loss of &gt;99% of the original CO</span><sub>2</sub><span>&nbsp;content due to depressurisation and boiling as the fluids ascended to the surface. Consequently, the soil has persisted as the major (99%) pathway of CO</span><sub>2</sub><span>&nbsp;release to the atmosphere from the high temperature reservoir at Ohaaki. The CO</span><sub>2</sub><span>&nbsp;flux and heat flow surveys indicate that despite 20</span><span>&nbsp;</span><span>a of production the variability in location, spatial extent and magnitude of CO</span><sub>2</sub><span>&nbsp;flux remains consistent with established geochemical and geophysical models of the Ohaaki Field. At both OHW and OHE carbon isotopic analyses of soil gas indicate a two-stage fractionation process for moderate-flux (&gt;60</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>&nbsp;</span><span>d</span><sup>−1</sup><span>) sites; boiling during fluid ascent within the underlying reservoir and isotopic enrichment as CO</span><sub>2</sub><span>&nbsp;diffuses through porous media of the soil zone. For high-flux sites (&gt;300</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>&nbsp;</span><span>d</span><sup>−1</sup><span>), the&nbsp;</span><i>δ</i><sup>13</sup><span>CO</span><sub>2</sub><span>&nbsp;signature (−7.4</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.3‰ OHW and −6.5</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.6‰ OHE) is unaffected by near-surface (soil zone) fractionation processes and reflects the composition of the boiled magmatic CO</span><sub>2</sub><span>&nbsp;source for each respective upflow. Flux thresholds of &lt;30</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>&nbsp;</span><span>d</span><sup>−1</sup><span>&nbsp;for purely diffusive gas transport, between 30 and 300</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>&nbsp;</span><span>d</span><sup>−1</sup><span>&nbsp;for combined diffusive–advective transport, and ⩾300</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>&nbsp;</span><span>d</span><sup>−1</sup><span>&nbsp;for purely advective gas transport at Ohaaki were assigned.&nbsp;</span><i>δ</i><sup>13</sup><span>CO</span><sub>2</sub><span>&nbsp;values and cumulative probability plots of CO</span><sub>2</sub><span>&nbsp;flux data both identified a threshold of ∼15</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>&nbsp;</span><span>d</span><sup>−1</sup><span>&nbsp;by which background (atmospheric and soil respired) CO</span><sub>2</sub><span>&nbsp;may be differentiated from hydrothermal CO</span><sub>2</sub><span>.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.10.006","usgsCitation":"Rissmann, C., Christenson, B., Werner, C.A., Leybourne, M., Cole, J., and Gravley, D., 2012, Surface heat flow and CO2 emissions within the Ohaaki hydrothermal field, Taupo Volcanic Zone, New Zealand: Applied Geochemistry, v. 27, no. 1, p. 223-239, https://doi.org/10.1016/j.apgeochem.2011.10.006.","productDescription":"17 p.","startPage":"223","endPage":"239","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":243164,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Taupo Volcanic Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              175.6988525390625,\n              -39.06184913429153\n            ],\n            [\n              177.00073242187497,\n              -39.06184913429153\n            ],\n            [\n              177.00073242187497,\n              -37.553287645957646\n            ],\n            [\n              175.6988525390625,\n              -37.553287645957646\n            ],\n            [\n              175.6988525390625,\n              -39.06184913429153\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9fb2e4b08c986b31e7ab","contributors":{"authors":[{"text":"Rissmann, C.","contributorId":42495,"corporation":false,"usgs":true,"family":"Rissmann","given":"C.","affiliations":[],"preferred":false,"id":449742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christenson, B.","contributorId":68609,"corporation":false,"usgs":true,"family":"Christenson","given":"B.","email":"","affiliations":[],"preferred":false,"id":449743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werner, Cynthia A. cwerner@usgs.gov","contributorId":2540,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","email":"cwerner@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":449744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leybourne, M.","contributorId":6337,"corporation":false,"usgs":true,"family":"Leybourne","given":"M.","affiliations":[],"preferred":false,"id":449741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cole, J.","contributorId":90097,"corporation":false,"usgs":true,"family":"Cole","given":"J.","affiliations":[],"preferred":false,"id":449745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gravley, D.","contributorId":98602,"corporation":false,"usgs":true,"family":"Gravley","given":"D.","email":"","affiliations":[],"preferred":false,"id":449746,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032537,"text":"70032537 - 2012 - The Saturnian satellite Rhea as seen by Cassini VIMS","interactions":[],"lastModifiedDate":"2020-12-22T18:08:40.232536","indexId":"70032537","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3083,"text":"Planetary and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"The Saturnian satellite Rhea as seen by Cassini VIMS","docAbstract":"<p id=\"sp0075\">Since the arrival of the Cassini spacecraft at Saturn in June 2004, the Visual and Infrared Mapping Spectrometer has obtained new spectral data of the icy satellites of Saturn in the spectral range from 0.35 to 5.2&nbsp;μm. Numerous flybys were performed at Saturn’s second largest satellite Rhea, providing a nearly complete coverage with pixel-ground resolutions sufficient to analyze variations of spectral properties across Rhea’s surface in detail. We present an overview of the VIMS observations obtained so far, as well as the analysis of the spectral properties identified in the VIMS spectra and their variations across its surface compared with spatially highly resolved Cassini ISS images and digital elevation models.</p><p id=\"sp0080\">Spectral variations measured across Rhea’s surface are similar to the variations observed in the VIMS observations of its neighbor Dione, implying similar processes causing or at least inducing their occurrence. Thus, magnetospheric particles and dust impacting onto the trailing hemisphere appear to be responsible for the concentration of dark rocky/organic material and minor amounts of CO<sub>2</sub><span>&nbsp;</span>in the cratered terrain on the trailing hemisphere. Despite the prominent spectral signatures of Rhea’s fresh impact crater Inktomi, radiation effects were identified that also affect the H<sub>2</sub>O ice-rich cratered terrain of the leading hemisphere. The concentration of H<sub>2</sub>O ice in the vicinity of steep tectonic scarps near 270°W and geologically fresh impact craters implies that Rhea exhibits an icy crust at least in the upper few kilometers. Despite the evidence for past tectonic events, no indications of recent endogenically powered processes could be identified in the Cassini data.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.pss.2011.07.019","issn":"00320633","usgsCitation":"Stephan, K., Jaumann, R., Wagner, R., Clark, R.N., Cruikshank, D.P., Giese, B., Hibbitts, C.A., Roatsch, T., Matz, K., Brown, R.H., Filacchione, G., Cappacioni, F., Scholten, F., Buratti, B.J., Hansen, G.B., Nicholson, P.D., Baines, K.H., Nelson, R., and Matson, D.L., 2012, The Saturnian satellite Rhea as seen by Cassini VIMS: Planetary and Space Science, v. 61, no. 1, p. 142-160, https://doi.org/10.1016/j.pss.2011.07.019.","productDescription":"19 p.","startPage":"142","endPage":"160","costCenters":[],"links":[{"id":474644,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://elib.dlr.de/67936/1/EPSC2010-920.pdf","text":"External Repository"},{"id":241723,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214036,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.pss.2011.07.019"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba8d9e4b08c986b321ebc","contributors":{"authors":[{"text":"Stephan, K.","contributorId":8976,"corporation":false,"usgs":true,"family":"Stephan","given":"K.","email":"","affiliations":[],"preferred":false,"id":436693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaumann, R.","contributorId":81232,"corporation":false,"usgs":false,"family":"Jaumann","given":"R.","email":"","affiliations":[],"preferred":false,"id":436707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, R.","contributorId":88859,"corporation":false,"usgs":true,"family":"Wagner","given":"R.","affiliations":[],"preferred":false,"id":436708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":436692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cruikshank, D. P.","contributorId":51434,"corporation":false,"usgs":false,"family":"Cruikshank","given":"D.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":436703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Giese, B.","contributorId":12220,"corporation":false,"usgs":true,"family":"Giese","given":"B.","email":"","affiliations":[],"preferred":false,"id":436695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hibbitts, C. A.","contributorId":21703,"corporation":false,"usgs":false,"family":"Hibbitts","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":436698,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roatsch, T.","contributorId":18933,"corporation":false,"usgs":true,"family":"Roatsch","given":"T.","email":"","affiliations":[],"preferred":false,"id":436696,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Matz, K.-D.","contributorId":10596,"corporation":false,"usgs":true,"family":"Matz","given":"K.-D.","email":"","affiliations":[],"preferred":false,"id":436694,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":436697,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Filacchione, G.","contributorId":48740,"corporation":false,"usgs":true,"family":"Filacchione","given":"G.","affiliations":[],"preferred":false,"id":436701,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cappacioni, F.","contributorId":49193,"corporation":false,"usgs":true,"family":"Cappacioni","given":"F.","email":"","affiliations":[],"preferred":false,"id":436702,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Scholten, F.","contributorId":100175,"corporation":false,"usgs":true,"family":"Scholten","given":"F.","email":"","affiliations":[],"preferred":false,"id":436710,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":436706,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hansen, G. B.","contributorId":98478,"corporation":false,"usgs":false,"family":"Hansen","given":"G.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":436709,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":436704,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":436699,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Nelson, R.M.","contributorId":38316,"corporation":false,"usgs":true,"family":"Nelson","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":436700,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Matson, D. L.","contributorId":59940,"corporation":false,"usgs":false,"family":"Matson","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":436705,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70032534,"text":"70032534 - 2012 - Target loads of atmospheric sulfur and nitrogen deposition for protection of acid sensitive aquatic resources in the Adirondack Mountains, New York","interactions":[],"lastModifiedDate":"2012-03-12T17:21:21","indexId":"70032534","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","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":"Target loads of atmospheric sulfur and nitrogen deposition for protection of acid sensitive aquatic resources in the Adirondack Mountains, New York","docAbstract":"The dynamic watershed acid-base chemistry model of acidification of groundwater in catchments (MAGIC) was used to calculate target loads (TLs) of atmospheric sulfur and nitrogen deposition expected to be protective of aquatic health in lakes in the Adirondack ecoregion of New York. The TLs were calculated for two future dates (2050 and 2100) and three levels of protection against lake acidification (acid neutralizing capacity (ANC) of 0, 20, and 50 eq L  -1). Regional sulfur and nitrogen deposition estimates were combined with TLs to calculate exceedances. Target load results, and associated exceedances, were extrapolated to the regional population of Adirondack lakes. About 30% of Adirondack lakes had simulated TL of sulfur deposition less than 50 meq m  -2 yr to protect lake ANC to 50 eq L  -1. About 600 Adirondack lakes receive ambient sulfur deposition that is above this TL, in some cases by more than a factor of 2. Some critical criteria threshold values were simulated to be unobtainable in some lakes even if sulfur deposition was to be decreased to zero and held at zero until the specified endpoint year. We also summarize important lessons for the use of target loads in the management of acid-impacted aquatic ecosystems, such as those in North America, Europe, and Asia. Copyright 2012 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011WR011171","issn":"00431397","usgsCitation":"Sullivan, T., Cosby, B., Driscoll, C.T., McDonnell, T., Herlihy, A., and Burns, D.A., 2012, Target loads of atmospheric sulfur and nitrogen deposition for protection of acid sensitive aquatic resources in the Adirondack Mountains, New York: Water Resources Research, v. 48, no. 1, https://doi.org/10.1029/2011WR011171.","costCenters":[],"links":[{"id":474639,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011171","text":"Publisher Index Page"},{"id":213974,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011171"},{"id":241652,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-31","publicationStatus":"PW","scienceBaseUri":"505ba3e2e4b08c986b31ff63","contributors":{"authors":[{"text":"Sullivan, T.J.","contributorId":83734,"corporation":false,"usgs":true,"family":"Sullivan","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":436675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cosby, B.J.","contributorId":96455,"corporation":false,"usgs":true,"family":"Cosby","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":436676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, C. T.","contributorId":47530,"corporation":false,"usgs":false,"family":"Driscoll","given":"C.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":436673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonnell, T.C.","contributorId":82139,"corporation":false,"usgs":true,"family":"McDonnell","given":"T.C.","email":"","affiliations":[],"preferred":false,"id":436674,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herlihy, A.T.","contributorId":31168,"corporation":false,"usgs":true,"family":"Herlihy","given":"A.T.","affiliations":[],"preferred":false,"id":436672,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":29450,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":436671,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035521,"text":"70035521 - 2012 - Using multitemporal remote sensing imagery and inundation measures to improve land change estimates in coastal wetlands","interactions":[],"lastModifiedDate":"2020-11-17T12:57:50.879427","indexId":"70035521","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Using multitemporal remote sensing imagery and inundation measures to improve land change estimates in coastal wetlands","docAbstract":"<p><span>Remote sensing imagery can be an invaluable resource to quantify land change in coastal wetlands. Obtaining an accurate measure of land change can, however, be complicated by differences in fluvial and tidal inundation experienced when the imagery is captured. This study classified Landsat imagery from two wetland areas in coastal Louisiana from 1983 to 2010 into categories of land and water. Tide height, river level, and date were used as independent variables in a multiple regression model to predict land area in the Wax Lake Delta (WLD) and compare those estimates with an adjacent marsh area lacking direct fluvial inputs. Coefficients of determination from regressions using both measures of water level along with date as predictor variables of land extent in the WLD, were higher than those obtained using the current methodology which only uses date to predict land change. Land change trend estimates were also improved when the data were divided by time period. Water level corrected land gain in the WLD from 1983 to 2010 was 1&nbsp;km</span><sup>2</sup><span>&nbsp;year</span><sup>−1</sup><span>, while rates in the adjacent marsh remained roughly constant. This approach of isolating environmental variability due to changing water levels improves estimates of actual land change in a dynamic system, so that other processes that may control delta development such as hurricanes, floods, and sediment delivery, may be further investigated.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-011-9437-z","issn":"15592723","usgsCitation":"Allen, Y., Couvillion, B., and Barras, J., 2012, Using multitemporal remote sensing imagery and inundation measures to improve land change estimates in coastal wetlands: Estuaries and Coasts, v. 35, no. 1, p. 190-200, https://doi.org/10.1007/s12237-011-9437-z.","productDescription":"11 p.","startPage":"190","endPage":"200","costCenters":[],"links":[{"id":243907,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Lousianna","otherGeospatial":"Atchafalaya Deltas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.6314697265625,\n              29.703560887190708\n            ],\n            [\n              -91.65481567382812,\n              29.543593066460595\n            ],\n            [\n              -91.51199340820312,\n              29.30077105450428\n            ],\n            [\n              -91.30462646484375,\n              29.31154884819602\n            ],\n            [\n              -91.14257812499999,\n              29.433617570990965\n            ],\n            [\n              -91.6314697265625,\n              29.703560887190708\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"505bc019e4b08c986b329f1d","contributors":{"authors":[{"text":"Allen, Y.C.","contributorId":63761,"corporation":false,"usgs":true,"family":"Allen","given":"Y.C.","email":"","affiliations":[],"preferred":false,"id":451066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, B.R. 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":26540,"corporation":false,"usgs":true,"family":"Couvillion","given":"B.R.","affiliations":[],"preferred":false,"id":451064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barras, J.A.","contributorId":44260,"corporation":false,"usgs":true,"family":"Barras","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":451065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032554,"text":"70032554 - 2012 - Ecological controls on the shell geochemistry of pink and white Globigerinoides ruber in the northern Gulf of Mexico: implications for paleoceanographic reconstruction","interactions":[],"lastModifiedDate":"2014-01-14T10:15:16","indexId":"70032554","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological controls on the shell geochemistry of pink and white Globigerinoides ruber in the northern Gulf of Mexico: implications for paleoceanographic reconstruction","docAbstract":"We evaluate the relationship between foraminiferal test size and shell geochemistry (δ<sup>13</sup>C, δ<sup>18</sup>O, and Mg/Ca) for two of the most commonly used planktonic foraminifers for paleoceanographic reconstruction in the subtropical Atlantic Ocean: the pink and white varieties of Globigerinoides ruber. Geochemical analyses were performed on foraminifera from modern core-top samples of high-accumulation rate basins in the northern Gulf of Mexico. Mg/Ca analysis indicates a positive relationship with test size, increasing by 1.1 mmol/mol (~ 2.5 °C) from the smallest (150–212 μm) to largest (> 500 μm) size fractions of G. ruber (pink), but with no significant relationship in G. ruber (white). In comparison, oxygen isotope data indicate a negative relationship with test size, decreasing by 0.6‰ across the size range of both pink and white G. ruber. The observed increase in Mg/Ca and decrease in δ<sup>18</sup>O are consistent with an increase in calcification temperature of 0.7 °C per 100 μm increase in test size, suggesting differences in the seasonal and/or depth distribution among size fractions. Overall, these results stress the necessity for using a consistent size fraction in downcore paleoceanographic studies. In addition, we compare downcore records of δ<sup>18</sup>O and Mg/Ca from pink and white G. ruber in a decadal-resolution 1000-year sedimentary record from the Pigmy Basin. Based on this comparison we conclude that pink G. ruber is calcifying in warmer waters than co-occurring white G. ruber, suggesting differences in the relative seasonal distribution and depth habitat of the two varieties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Micropaleontology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2011.10.002","issn":"03778398","usgsCitation":"Richey, J.N., Poore, R.Z., Flower, B.P., and Hollander, D.J., 2012, Ecological controls on the shell geochemistry of pink and white Globigerinoides ruber in the northern Gulf of Mexico: implications for paleoceanographic reconstruction: Marine Micropaleontology, v. 82-83, p. 28-37, https://doi.org/10.1016/j.marmicro.2011.10.002.","productDescription":"10 p.","startPage":"28","endPage":"37","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":213790,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marmicro.2011.10.002"},{"id":241449,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.9,18.2 ], [ -97.9,30.4 ], [ -81.0,30.4 ], [ -81.0,18.2 ], [ -97.9,18.2 ] ] ] } } ] }","volume":"82-83","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a054de4b0c8380cd50d41","contributors":{"authors":[{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":5182,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":436796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":436795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flower, Benjamin P.","contributorId":100620,"corporation":false,"usgs":true,"family":"Flower","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":436798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollander, David J.","contributorId":11421,"corporation":false,"usgs":true,"family":"Hollander","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":436797,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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