Planning and implementation of unprecedented projects for restoring the greater Everglades ecosystem are underway and the hydrologic and hydrodynamic modeling of restoration alternatives has become essential for success of restoration efforts. In view of the complex nature of the South Florida water resources system, regional-scale (system-wide) hydrologic models have been developed and used extensively for the development of the Comprehensive Everglades Restoration Plan. In addition, numerous subregional-scale hydrologic and hydrodynamic models have been developed and are being used for evaluating project-scale water management plans associated with urban, agricultural, and inland costal ecosystems. The authors provide a comprehensive summary of models of all scales, as well as the next generation models under development to meet the future needs of ecosystem restoration efforts in South Florida. The multiagency efforts to develop and apply models have allowed the agencies to understand the complex hydrologic interactions, quantify appropriate performance measures, and use new technologies in simulation algorithms, software development, and GIS/database techniques to meet the future modeling needs of the ecosystem restoration programs.
","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/10643389.2010.531226","issn":"10643389","usgsCitation":"Obeysekera, J., Kuebler, L., Ahmed, S., Chang, M., Engel, V., Langevin, C.D., Swain, E.D., and Wan, Y., 2011, Use of hydrologic and hydrodynamic modeling for ecosystem restoration: Critical Reviews in Environmental Science and Technology, v. 41, no. SUPPL. 1, p. 447-488, https://doi.org/10.1080/10643389.2010.531226.","productDescription":"42 p.","startPage":"447","endPage":"488","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":244046,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216192,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10643389.2010.531226"}],"country":"United States","state":"Florida","otherGeospatial":"South Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.71630859375,\n 25.958044673317843\n ],\n [\n -81.2109375,\n 25.54244147012483\n ],\n [\n -81.2109375,\n 25.16517336866393\n ],\n [\n -80.61767578124999,\n 25.085598897064752\n ],\n [\n -80.15625,\n 25.423431426334222\n ],\n [\n -80.0244140625,\n 26.2145910237943\n ],\n [\n -79.89257812499999,\n 26.725986812271756\n ],\n [\n -81.0791015625,\n 27.410785702577023\n ],\n [\n -81.2548828125,\n 27.449790329784214\n ],\n [\n -81.27685546875,\n 26.41155054662258\n ],\n [\n -81.650390625,\n 26.37218544169559\n ],\n [\n -81.71630859375,\n 25.958044673317843\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"SUPPL. 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbf26e4b08c986b3299ad","contributors":{"authors":[{"text":"Obeysekera, J.","contributorId":95268,"corporation":false,"usgs":true,"family":"Obeysekera","given":"J.","email":"","affiliations":[],"preferred":false,"id":452085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuebler, L.","contributorId":42059,"corporation":false,"usgs":true,"family":"Kuebler","given":"L.","email":"","affiliations":[],"preferred":false,"id":452081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahmed, S.","contributorId":35705,"corporation":false,"usgs":true,"family":"Ahmed","given":"S.","email":"","affiliations":[],"preferred":false,"id":452080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, M.-L.","contributorId":75783,"corporation":false,"usgs":true,"family":"Chang","given":"M.-L.","email":"","affiliations":[],"preferred":false,"id":452083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engel, V. 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":107905,"corporation":false,"usgs":true,"family":"Engel","given":"V.","affiliations":[],"preferred":false,"id":452086,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":452079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":452084,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wan, Y.","contributorId":51519,"corporation":false,"usgs":true,"family":"Wan","given":"Y.","email":"","affiliations":[],"preferred":false,"id":452082,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035725,"text":"70035725 - 2011 - Linking biomarkers to reproductive success of caged fathead minnows in streams with increasing urbanization","interactions":[],"lastModifiedDate":"2021-02-16T19:37:23.496316","indexId":"70035725","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Linking biomarkers to reproductive success of caged fathead minnows in streams with increasing urbanization","docAbstract":"Reproductive and oxidative stress biomarkers have been recommended as tools to assess the health of aquatic organisms. Though validated in the laboratory, there are few studies that tie a change in gene expression to adverse reproductive or population outcomes in the field. This paper looked at 17 streams with varying degrees of urbanization to assess the use of biomarkers associated with reproduction or stress in predicting reproductive success of fathead minnows. In addition, the relationship between biomarkers and water quality measures in streams with varying degrees of urbanization was examined. Liver vitellogenin mRNA was correlated with reproduction within a period of 11 d prior to sampling irrespective of habitat, but its correlation with egg output declined at 12 d and beyond indicating its usefulness as a short-term biomarker but its limits as a biomarker of total reproductive output. Stress biomarkers such as glutathione S-transferase may be better correlated with factors affecting reproduction over a longer term. There was a significant correlation between GST mRNA and a variety of anthropogenic pollutants. There was also an inverse correlation between glutathione S-transferase and the amount of the watershed designated as wetland. Egg production over the 21-d was negatively correlated with the amount of urbanization and positively correlated to wetland habitats. This study supports the development of multiple biomarkers linking oxidative stress and other non-reproductive endpoints to changes in aquatic habitats will be useful for predicting the health of fish populations and identifying the environmental factors that may need mitigation for sustainable population management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2010.11.011","issn":"00456535","usgsCitation":"Crago, J., Corsi, S., Weber, D., Bannerman, R., and Klaper, R., 2011, Linking biomarkers to reproductive success of caged fathead minnows in streams with increasing urbanization: Chemosphere, v. 82, no. 11, p. 1669-1674, https://doi.org/10.1016/j.chemosphere.2010.11.011.","productDescription":"6 p.","startPage":"1669","endPage":"1674","costCenters":[],"links":[{"id":244045,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216191,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemosphere.2010.11.011"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.0057373046875,\n 42.49235259142821\n ],\n [\n -87.5665283203125,\n 42.49235259142821\n ],\n [\n -87.5665283203125,\n 44.83639545410477\n ],\n [\n -89.0057373046875,\n 44.83639545410477\n ],\n [\n -89.0057373046875,\n 42.49235259142821\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"82","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a47d0e4b0c8380cd679ce","contributors":{"authors":[{"text":"Crago, J.","contributorId":49206,"corporation":false,"usgs":true,"family":"Crago","given":"J.","affiliations":[],"preferred":false,"id":452074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":452076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, D.","contributorId":72614,"corporation":false,"usgs":true,"family":"Weber","given":"D.","email":"","affiliations":[],"preferred":false,"id":452075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannerman, R.","contributorId":95657,"corporation":false,"usgs":true,"family":"Bannerman","given":"R.","email":"","affiliations":[],"preferred":false,"id":452078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klaper, R.","contributorId":93720,"corporation":false,"usgs":true,"family":"Klaper","given":"R.","affiliations":[],"preferred":false,"id":452077,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035122,"text":"70035122 - 2011 - Using Lagrangian sampling to study water quality during downstream transport in the San Luis Drain, California, USA","interactions":[],"lastModifiedDate":"2020-01-11T11:16:07","indexId":"70035122","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Using Lagrangian sampling to study water quality during downstream transport in the San Luis Drain, California, USA","docAbstract":"To investigate the mechanism for diel (24h) changes commonly observed at fixed sampling locations and how these diel changes relate to downstream transport in hypereutrophic surface waters, we studied a parcel of agricultural drainage water as it traveled for 84h in a concrete-lined channel having no additional water inputs or outputs. Algal fluorescence, dissolved oxygen, temperature, pH, conductivity, and turbidity were measured every 30min. Grab samples were collected every 2h for water quality analyses, including nutrients, suspended sediment, and chlorophyll/pheophytin. Strong diel patterns were observed for dissolved oxygen, pH, and temperature within the parcel of water. In contrast, algal pigments and nitrate did not exhibit diel patterns within the parcel of water, but did exhibit strong diel patterns for samples collected at a fixed sampling location. The diel patterns observed at fixed sampling locations for these constituents can be attributed to algal growth during the day and downstream transport (washout) of algae at night. Algal pigments showed a rapid daytime increase during the first 48h followed by a general decrease for the remainder of the study, possibly due to sedimentation and photobleaching. Algal growth (primarily diatoms) was apparent each day during the study, as measured by increasing dissolved oxygen concentrations, despite low phosphate concentrations (<0.01mgL-1).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.01.029","issn":"00092541","usgsCitation":"Volkmar, E., Dahlgren, R., Stringfellow, W., Henson, S., Borglin, S., Kendall, C., and Van Nieuwenhuyse, E., 2011, Using Lagrangian sampling to study water quality during downstream transport in the San Luis Drain, California, USA: Chemical Geology, v. 283, no. 1-2, p. 68-77, https://doi.org/10.1016/j.chemgeo.2011.01.029.","productDescription":"10 p.","startPage":"68","endPage":"77","numberOfPages":"10","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":243289,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Luis Drain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.57470703125,\n 36.83896555078597\n ],\n [\n -120.99243164062501,\n 36.83896555078597\n ],\n [\n -120.99243164062501,\n 37.13951928536274\n ],\n [\n -121.57470703125,\n 37.13951928536274\n ],\n [\n -121.57470703125,\n 36.83896555078597\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"283","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc012e4b08c986b329ef6","contributors":{"authors":[{"text":"Volkmar, E.C.","contributorId":71022,"corporation":false,"usgs":true,"family":"Volkmar","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":449392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dahlgren, R.A.","contributorId":28409,"corporation":false,"usgs":true,"family":"Dahlgren","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":449389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stringfellow, W.T.","contributorId":90953,"corporation":false,"usgs":true,"family":"Stringfellow","given":"W.T.","email":"","affiliations":[],"preferred":false,"id":449393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henson, S.S.","contributorId":22598,"corporation":false,"usgs":true,"family":"Henson","given":"S.S.","email":"","affiliations":[],"preferred":false,"id":449388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borglin, S.E.","contributorId":69334,"corporation":false,"usgs":true,"family":"Borglin","given":"S.E.","affiliations":[],"preferred":false,"id":449391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, C. 0000-0002-0247-3405","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":35050,"corporation":false,"usgs":true,"family":"Kendall","given":"C.","affiliations":[],"preferred":false,"id":449390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Nieuwenhuyse, E. E.","contributorId":13056,"corporation":false,"usgs":true,"family":"Van Nieuwenhuyse","given":"E. E.","affiliations":[],"preferred":false,"id":449387,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70036697,"text":"70036697 - 2011 - Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization","interactions":[],"lastModifiedDate":"2017-11-20T13:26:04","indexId":"70036697","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization","docAbstract":"High-sulfidation copper–gold lode deposits such as Chinkuashih, Taiwan, Lepanto, Philippines, and Goldfield, Nevada, formed within 1500 m of the paleosurface in volcanic terranes. All underwent an early stage of extensive advanced argillic silica–alunite alteration followed by an abrupt change to spatially much more restricted stages of fracture-controlled sulfide–sulfosalt mineral assemblages and gold–silver mineralization. The alteration as well as ore mineralization stages of these deposits were controlled by the dynamics and history of syn-hydrothermal faulting.
At the Sulfate Stage, aggressive advanced argillic alteration and silicification were consequent on the in situ formation of acidic condensate from magmatic vapor as it expanded through secondary fracture networks alongside active faults. The reduction of permeability at this stage due to alteration decreased fluid flow to the surface, and progressively developed a barrier between magmatic-vapor expansion constrained by the active faults and peripheral hydrothermal activity dominated by hot-water flow. In conjunction with the increased rock strength resulting from alteration, subsequent fault-slip inversion in response to an increase in compressional stress generated new, highly permeable fractures localized by the embrittled, altered rock. The new fractures focused magmatic-vapor expansion with much lower heat loss so that condensation occurred. Sulfide Stage sulfosalt, sulfide, and gold–silver deposition then resulted from destabilization of vapor phase metal species due to vapor decompression through the new fracture array. The switch from sulfate to sulfide assemblages is, therefore, a logical consequence of changes in structural permeability due to the coupling of alteration and fracture dynamics rather than to changes in the chemistry of the fluid phase at its magmatic source.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2010.11.004","issn":"01691368","usgsCitation":"Berger, B.R., and Henley, R.W., 2011, Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization: Ore Geology Reviews, v. 39, no. 1-2, p. 75-90, https://doi.org/10.1016/j.oregeorev.2010.11.004.","productDescription":"16 p.","startPage":"75","endPage":"90","numberOfPages":"16","ipdsId":"IP-018409","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475301,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2010.11.004","text":"Publisher Index Page"},{"id":245428,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217477,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.oregeorev.2010.11.004"}],"volume":"39","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4b52e4b0c8380cd69466","contributors":{"authors":[{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":457416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henley, Richard W.","contributorId":107193,"corporation":false,"usgs":true,"family":"Henley","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":457415,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036696,"text":"70036696 - 2011 - Pigeonholing pyroclasts: Insights from the 19 March 2008 explosive eruption of Kīlauea volcano","interactions":[],"lastModifiedDate":"2020-12-23T19:02:35.694262","indexId":"70036696","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pigeonholing pyroclasts: Insights from the 19 March 2008 explosive eruption of Kīlauea volcano","docAbstract":"We think, conventionally, of volcanic explosive eruptions as being triggered in one of two ways: by release and expansion of volatiles dissolved in the ejected magma (magmatic explosions) or by transfer of heat from magma into an external source of water (phreatic or phreatomagmatic explosions). We document here an event where neither magma nor an external water source was involved in explosive activity at Kīlauea. Instead, the eruption was powered by the expansion of decoupled magmatic volatiles released from deeper magma, which was not ejected by the eruption, and the trigger was a collapse of near-surface wall rocks that then momentarily blocked that volatile flux. Mapping of the advected fall deposit a day after this eruption has highlighted the difficulty of constraining deposit edges from unobserved or prehistoric eruptions of all magnitudes. Our results suggest that the dispersal area of advected fall deposits could be miscalculated by up to 30% of the total, raising issues for accurate hazard zoning and assessment. Eruptions of this type challenge existing classification schemes for pyroclastic deposits and explosive eruptions and, in the past, have probably been interpreted as phreatic explosions, where the eruptive mechanism has been assumed to involve flashing of groundwater to steam.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G31509.1","issn":"00917613","usgsCitation":"Houghton, B.F., Swanson, D., Carey, R., Rausch, J., and Sutton, A., 2011, Pigeonholing pyroclasts: Insights from the 19 March 2008 explosive eruption of Kīlauea volcano: Geology, v. 39, no. 3, p. 263-266, https://doi.org/10.1130/G31509.1.","productDescription":"4 p.","startPage":"263","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":245400,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217450,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G31509.1"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.3020477294922,\n 19.395039417313967\n ],\n [\n -155.3020477294922,\n 19.433733654546185\n ],\n [\n -155.23475646972656,\n 19.433733654546185\n ],\n [\n -155.23475646972656,\n 19.395039417313967\n ],\n [\n -155.3020477294922,\n 19.395039417313967\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7b52e4b0c8380cd7939a","contributors":{"authors":[{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":457413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":457412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carey, R.J.","contributorId":89749,"corporation":false,"usgs":true,"family":"Carey","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":457414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rausch, J.","contributorId":7944,"corporation":false,"usgs":true,"family":"Rausch","given":"J.","email":"","affiliations":[],"preferred":false,"id":457410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sutton, Andrew ajsutton@usgs.gov","contributorId":156244,"corporation":false,"usgs":true,"family":"Sutton","given":"Andrew","email":"ajsutton@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":457411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036488,"text":"70036488 - 2011 - The indication of Martian gully formation processes by slope-area analysis","interactions":[],"lastModifiedDate":"2019-02-04T11:04:41","indexId":"70036488","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1785,"text":"Geological Society Special Publication","active":true,"publicationSubtype":{"id":10}},"title":"The indication of Martian gully formation processes by slope-area analysis","docAbstract":"The formation process of recent gullies on Mars is currently under debate. This study aims to discriminate between the proposed formation processes - pure water flow, debris flow and dry mass wasting - through the application of geomorphological indices commonly used in terrestrial geomorphology. High-resolution digital elevation models (DEMs) of Earth and Mars were used to evaluate the drainage characteristics of small slope sections. Data from Earth were used to validate the hillslope, debris-flow and alluvial process domains previously found for large fluvial catchments on Earth, and these domains were applied to gullied and ungullied slopes on Mars. In accordance with other studies, our results indicate that debris flow is one of the main processes forming the Martian gullies that were being examined. The source of the water is predominantly distributed surface melting, not an underground aquifer. Evidence is also presented indicating that other processes may have shaped Martian crater slopes, such as ice-assisted creep and solifluction, in agreement with the proposed recent Martian glacial and periglacial climate. Our results suggest that, within impact craters, different processes are acting on differently oriented slopes, but further work is needed to investigate the potential link between these observations and changes in Martian climate.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society Special Publication","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of London","publisherLocation":"London","doi":"10.1144/SP356.10","issn":"03058719","usgsCitation":"Conway, S.J., Balme, M.R., Murray, J., Towner, M.C., Okubo, C., and Grindrod, P.M., 2011, The indication of Martian gully formation processes by slope-area analysis: Geological Society Special Publication, v. 356, no. 1, p. 171-201, https://doi.org/10.1144/SP356.10.","productDescription":"31 p.","startPage":"171","endPage":"201","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":475339,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-02276823","text":"External Repository"},{"id":218381,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/SP356.10"},{"id":246383,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"356","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-11","publicationStatus":"PW","scienceBaseUri":"505bad05e4b08c986b323908","contributors":{"authors":[{"text":"Conway, Susan J.","contributorId":203697,"corporation":false,"usgs":false,"family":"Conway","given":"Susan","email":"","middleInitial":"J.","affiliations":[{"id":36693,"text":"University of Nantes","active":true,"usgs":false}],"preferred":false,"id":456383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balme, Matthew R.","contributorId":212708,"corporation":false,"usgs":false,"family":"Balme","given":"Matthew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":456385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murray, John B.","contributorId":212709,"corporation":false,"usgs":false,"family":"Murray","given":"John B.","affiliations":[],"preferred":false,"id":456380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Towner, Martin C.","contributorId":212710,"corporation":false,"usgs":false,"family":"Towner","given":"Martin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":456384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":456382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grindrod, Peter M.","contributorId":212711,"corporation":false,"usgs":false,"family":"Grindrod","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":456381,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035721,"text":"70035721 - 2011 - Distribution and seasonal dynamics of arsenic in a shallow lake in northwestern New Jersey, USA","interactions":[],"lastModifiedDate":"2019-10-21T09:58:09","indexId":"70035721","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1538,"text":"Environmental Geochemistry and Health","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and seasonal dynamics of arsenic in a shallow lake in northwestern New Jersey, USA","docAbstract":"Elevated concentrations of arsenic (As) occurred during warm months in water from the outlet of Lake Mohawk in northwestern New Jersey. The shallow manmade lake is surrounded by residential development and used for recreation. Eutrophic conditions are addressed by alum and copper sulfate applications and aerators operating in the summer. In September 2005, arsenite was dominant in hypoxic to anoxic bottom water. Filterable As concentrations were about 1.6–2 times higher than those in the upper water column (23–25 μg/L, mostly arsenate). Hypoxic/anoxic and near-neutral bottom conditions formed during the summer, but became more oxic and alkaline as winter approached. Acid-leachable As concentrations in lake-bed sediments ranged up to 694 mg/kg in highly organic material from the tops of sediment cores but were <15 mg/kg in geologic substrate. During warm months, reduced As from the sediment diffuses into the water column and is oxidized; mixing by aerators, wind, and boat traffic spreads arsenate and metals, some in particulate form, throughout the water column. Similar levels of As in sediments of lakes treated with arsenic pesticides indicate that most of the As in Lake Mohawk probably derives from past use of arsenical pesticides, although records of applications are lacking. The annual loss of As at the lake outlet is only about 0.01% of the As calculated to be in the sediments, indicating that elevated levels of As in the lake will persist for decades.
","language":"English","publisher":"Springer","doi":"10.1007/s10653-010-9289-7","issn":"02694042","usgsCitation":"Barringer, J.L., Szabo, Z., Wilson, T., Bonin, J., Kratzer, T., Cenno, K., Romagna, T., Alebus, M., and Hirst, B., 2011, Distribution and seasonal dynamics of arsenic in a shallow lake in northwestern New Jersey, USA: Environmental Geochemistry and Health, v. 33, no. 1, p. 1-22, https://doi.org/10.1007/s10653-010-9289-7.","productDescription":"22 p.","startPage":"1","endPage":"22","numberOfPages":"22","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":243981,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Lake Mohawk","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.65115547180176,\n 41.036765293038194\n ],\n [\n -74.6645450592041,\n 41.0204485149169\n ],\n [\n -74.65930938720703,\n 41.02031900050546\n ],\n [\n -74.65948104858398,\n 41.0191533593421\n ],\n [\n -74.67278480529785,\n 41.012482904826015\n ],\n [\n -74.67347145080566,\n 41.014620114274955\n ],\n [\n -74.6769905090332,\n 41.01403724584675\n ],\n [\n -74.6854019165039,\n 41.007495813151536\n ],\n [\n -74.68445777893066,\n 41.003220862709\n ],\n [\n -74.67098236083984,\n 41.00600608917637\n ],\n [\n -74.6561336517334,\n 41.01202954845378\n ],\n [\n -74.63836669921874,\n 41.0313915626804\n ],\n [\n -74.65115547180176,\n 41.036765293038194\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-04-20","publicationStatus":"PW","scienceBaseUri":"505a029fe4b0c8380cd50128","contributors":{"authors":[{"text":"Barringer, J. L.","contributorId":13994,"corporation":false,"usgs":true,"family":"Barringer","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":452054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szabo, Z. 0000-0002-0760-9607","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":44302,"corporation":false,"usgs":true,"family":"Szabo","given":"Z.","affiliations":[],"preferred":false,"id":452056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, T.P. 0000-0003-1914-6344","orcid":"https://orcid.org/0000-0003-1914-6344","contributorId":99795,"corporation":false,"usgs":true,"family":"Wilson","given":"T.P.","affiliations":[],"preferred":false,"id":452061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonin, J.L. 0000-0002-5813-3549","orcid":"https://orcid.org/0000-0002-5813-3549","contributorId":55642,"corporation":false,"usgs":true,"family":"Bonin","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":452057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kratzer, T.","contributorId":105532,"corporation":false,"usgs":true,"family":"Kratzer","given":"T.","email":"","affiliations":[],"preferred":false,"id":452062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cenno, K.","contributorId":66919,"corporation":false,"usgs":true,"family":"Cenno","given":"K.","email":"","affiliations":[],"preferred":false,"id":452058,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Romagna, T.","contributorId":37155,"corporation":false,"usgs":true,"family":"Romagna","given":"T.","email":"","affiliations":[],"preferred":false,"id":452055,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Alebus, M.","contributorId":84166,"corporation":false,"usgs":true,"family":"Alebus","given":"M.","affiliations":[],"preferred":false,"id":452060,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hirst, B.","contributorId":78555,"corporation":false,"usgs":true,"family":"Hirst","given":"B.","email":"","affiliations":[],"preferred":false,"id":452059,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70034411,"text":"70034411 - 2011 - Digital hydrologic networks supporting applications related to spatially referenced regression modeling","interactions":[],"lastModifiedDate":"2021-04-22T11:51:43.894857","indexId":"70034411","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Digital hydrologic networks supporting applications related to spatially referenced regression modeling","docAbstract":"Digital hydrologic networks depicting surface‐water pathways and their associated drainage catchments provide a key component to hydrologic analysis and modeling. Collectively, they form common spatial units that can be used to frame the descriptions of aquatic and watershed processes. In addition, they provide the ability to simulate and route the movement of water and associated constituents throughout the landscape. Digital hydrologic networks have evolved from derivatives of mapping products to detailed, interconnected, spatially referenced networks of water pathways, drainage areas, and stream and watershed characteristics. These properties are important because they enhance the ability to spatially evaluate factors that affect the sources and transport of water‐quality constituents at various scales. SPAtially Referenced Regressions On Watershed attributes (SPARROW), a process‐based/statistical model, relies on a digital hydrologic network in order to establish relations between quantities of monitored contaminant flux, contaminant sources, and the associated physical characteristics affecting contaminant transport. Digital hydrologic networks modified from the River Reach File (RF1) and National Hydrography Dataset (NHD) geospatial datasets provided frameworks for SPARROW in six regions of the conterminous United States. In addition, characteristics of the modified RF1 were used to update estimates of mean‐annual streamflow. This produced more current flow estimates for use in SPARROW modeling.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00578.x","issn":"1093474X","usgsCitation":"Brakebill, J., Wolock, D., and Terziotti, S., 2011, Digital hydrologic networks supporting applications related to spatially referenced regression modeling: Journal of the American Water Resources Association, v. 47, no. 5, p. 916-932, https://doi.org/10.1111/j.1752-1688.2011.00578.x.","productDescription":"17 p.","startPage":"916","endPage":"932","costCenters":[],"links":[{"id":475217,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00578.x","text":"External Repository"},{"id":244564,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a0120e4b0c8380cd4fadf","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":445655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":445654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, S.E.","contributorId":6287,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":445653,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036474,"text":"70036474 - 2011 - Adaptive finite volume methods with well-balanced Riemann solvers for modeling floods in rugged terrain: Application to the Malpasset dam-break flood (France, 1959)","interactions":[],"lastModifiedDate":"2012-03-12T17:22:05","indexId":"70036474","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2023,"text":"International Journal for Numerical Methods in Fluids","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive finite volume methods with well-balanced Riemann solvers for modeling floods in rugged terrain: Application to the Malpasset dam-break flood (France, 1959)","docAbstract":"The simulation of advancing flood waves over rugged topography, by solving the shallow-water equations with well-balanced high-resolution finite volume methods and block-structured dynamic adaptive mesh refinement (AMR), is described and validated in this paper. The efficiency of block-structured AMR makes large-scale problems tractable, and allows the use of accurate and stable methods developed for solving general hyperbolic problems on quadrilateral grids. Features indicative of flooding in rugged terrain, such as advancing wet-dry fronts and non-stationary steady states due to balanced source terms from variable topography, present unique challenges and require modifications such as special Riemann solvers. A well-balanced Riemann solver for inundation and general (non-stationary) flow over topography is tested in this context. The difficulties of modeling floods in rugged terrain, and the rationale for and efficacy of using AMR and well-balanced methods, are presented. The algorithms are validated by simulating the Malpasset dam-break flood (France, 1959), which has served as a benchmark problem previously. Historical field data, laboratory model data and other numerical simulation results (computed on static fitted meshes) are shown for comparison. The methods are implemented in GEOCLAW, a subset of the open-source CLAWPACK software. All the software is freely available at. Published in 2010 by John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal for Numerical Methods in Fluids","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/fld.2298","issn":"02712091","usgsCitation":"George, D., 2011, Adaptive finite volume methods with well-balanced Riemann solvers for modeling floods in rugged terrain: Application to the Malpasset dam-break flood (France, 1959): International Journal for Numerical Methods in Fluids, v. 66, no. 8, p. 1000-1018, https://doi.org/10.1002/fld.2298.","startPage":"1000","endPage":"1018","numberOfPages":"19","costCenters":[],"links":[{"id":218179,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/fld.2298"},{"id":246164,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-06-13","publicationStatus":"PW","scienceBaseUri":"5059e6e4e4b0c8380cd476e0","contributors":{"authors":[{"text":"George, D.L.","contributorId":54419,"corporation":false,"usgs":true,"family":"George","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":456317,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70036673,"text":"70036673 - 2011 - Assessing water quality suitability for shortnose sturgeon in the Roanoke River, North Carolina, USA with an in situ bioassay approach","interactions":[],"lastModifiedDate":"2020-12-23T20:20:33.746174","indexId":"70036673","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing water quality suitability for shortnose sturgeon in the Roanoke River, North Carolina, USA with an in situ bioassay approach","docAbstract":"The aim of this study was to determine the suitability of water quality in the Roanoke River of North Carolina for supporting shortnose sturgeon Acipenser brevirostrum, an endangered species in the United States. Fathead minnows Pimephales promelas were also evaluated alongside the sturgeon as a comparative species to measure potential differences in fish survival, growth, contaminant accumulation, and histopathology in a 28-day in situ toxicity test. Captively propagated juvenile shortnose sturgeon (total length 49 ± 8mm, mean ±SD) and fathead minnows (total length 39 ± 3mm, mean ± SD) were used in the test and their outcomes were compared to simultaneous measurements of water quality (temperature, dissolved oxygen, pH, conductivity, total ammonia nitrogen, hardness, alkalinity, turbidity) and contaminant chemistry (metals, polycyclic aromatic hydrocarbons, organochlorine pesticides, current use pesticides, polychlorinated biphenyls) in river water and sediment. In the in situ test, there were three non-riverine control sites and eight riverine test sites with three replicate cages (25 X 15-cm (OD) clear plexiglass with 200-lm tear-resistant Nitex screen over each end) of 20 shortnose sturgeon per cage at each site. There was a single cage of fathead minnows also deployed at each site alongside the sturgeon cages. Survival of caged shortnose sturgeon among the riverine sites averaged 9% (range 1.7-25%) on day 22 of the 28-day study, whereas sturgeon survival at the non-riverine control sites averaged 64% (range 33-98%). In contrast to sturgeon, only one riverine deployed fathead minnow died (average 99.4% survival) over the 28-day test period and none of the control fathead minnows died. Although chemical analyses revealed the presence of retene (7-isopropyl-1-methylphenanthrene), a pulp and paper mill derived compound with known dioxin-like toxicity to early life stages of fish, in significant quantities in the water (251-603ngL-1) and sediment (up to 5000ngg-1 dry weight) at several river sites, no correlation was detected of adverse water quality conditions or measured contaminant concentrations to the poor survival of sturgeon among riverine test sites. Histopathology analysis determined that the mortality of the river deployed shortnose sturgeon was likely due to liver and kidney lesions from an unknown agent(s). Given the poor survival of shortnose sturgeon (9%) and high survival of fathead minnows (99.4%) at the riverine test sites, our study indicates that conditions in the Roanoke River are incongruous with the needs of juvenile shortnose sturgeon and that fathead minnows, commonly used standard toxicity test organisms, do not adequately predict the sensitivity of shortnose sturgeon. Therefore, additional research is needed to help identify specific limiting factors and management actions for the enhancement and recovery of this imperiled fish species.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1439-0426.2010.01570.x","issn":"01758659","usgsCitation":"Cope, W., Holliman, F., Kwak, T., Oakley, N., Lazaro, P., Shea, D., Augspurger, T., Law, J., Henne, J., and Ware, K., 2011, Assessing water quality suitability for shortnose sturgeon in the Roanoke River, North Carolina, USA with an in situ bioassay approach: Journal of Applied Ichthyology, v. 27, no. 1, p. 1-12, https://doi.org/10.1111/j.1439-0426.2010.01570.x.","productDescription":"12 p.","startPage":"1","endPage":"12","costCenters":[],"links":[{"id":475284,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2010.01570.x","text":"Publisher Index Page"},{"id":381622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Roanoke River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.51953125,\n 35.567980458012094\n ],\n [\n -75.6298828125,\n 35.567980458012094\n ],\n [\n -75.6298828125,\n 36.40359962073253\n ],\n [\n -77.51953125,\n 36.40359962073253\n ],\n [\n -77.51953125,\n 35.567980458012094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-10-30","publicationStatus":"PW","scienceBaseUri":"5059edf4e4b0c8380cd49b33","contributors":{"authors":[{"text":"Cope, W.G.","contributorId":71918,"corporation":false,"usgs":true,"family":"Cope","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":457281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holliman, F.M.","contributorId":86153,"corporation":false,"usgs":true,"family":"Holliman","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":457285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, T.J.","contributorId":104236,"corporation":false,"usgs":true,"family":"Kwak","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":457288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oakley, N.C.","contributorId":79734,"corporation":false,"usgs":true,"family":"Oakley","given":"N.C.","email":"","affiliations":[],"preferred":false,"id":457282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lazaro, P.R.","contributorId":46801,"corporation":false,"usgs":true,"family":"Lazaro","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":457280,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shea, D.","contributorId":84987,"corporation":false,"usgs":true,"family":"Shea","given":"D.","email":"","affiliations":[],"preferred":false,"id":457284,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Augspurger, T.","contributorId":81844,"corporation":false,"usgs":false,"family":"Augspurger","given":"T.","email":"","affiliations":[],"preferred":false,"id":457283,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Law, J.M.","contributorId":86995,"corporation":false,"usgs":true,"family":"Law","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":457287,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Henne, J.P.","contributorId":21798,"corporation":false,"usgs":true,"family":"Henne","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":457279,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ware, K.M.","contributorId":86603,"corporation":false,"usgs":true,"family":"Ware","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":457286,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70036668,"text":"70036668 - 2011 - Rating curve estimation of nutrient loads in Iowa rivers","interactions":[],"lastModifiedDate":"2020-12-29T17:00:30.039285","indexId":"70036668","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Rating curve estimation of nutrient loads in Iowa rivers","docAbstract":"Accurate estimation of nutrient loads in rivers and streams is critical for many applications including determination of sources of nutrient loads in watersheds, evaluating long-term trends in loads, and estimating loading to downstream waterbodies. Since in many cases nutrient concentrations are measured on a weekly or monthly frequency, there is a need to estimate concentration and loads during periods when no data is available. The objectives of this study were to: (i) document the performance of a multiple regression model to predict loads of nitrate and total phosphorus (TP) in Iowa rivers and streams; (ii) determine whether there is any systematic bias in the load prediction estimates for nitrate and TP; and (iii) evaluate streamflow and concentration factors that could affect the load prediction efficiency. A commonly cited rating curve regression is utilized to estimate riverine nitrate and TP loads for rivers in Iowa with watershed areas ranging from 17.4 to over 34,600 km2. Forty-nine nitrate and 44 TP datasets each comprising 5–22 years of approximately weekly to monthly concentrations were examined. Three nitrate data sets had sample collection frequencies averaging about three samples per week. The accuracy and precision of annual and long term riverine load prediction was assessed by direct comparison of rating curve load predictions with observed daily loads. Significant positive bias of annual and long term nitrate loads was detected. Long term rating curve nitrate load predictions exceeded observed loads by 25% or more at 33% of the 49 measurement sites. No bias was found for TP load prediction although 15% of the 44 cases either underestimated or overestimate observed long-term loads by more than 25%. The rating curve was found to poorly characterize nitrate and phosphorus variation in some rivers.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2010.11.006","issn":"00221694","usgsCitation":"Stenback, G., Crumpton, W., Schilling, K.E., and Helmers, M., 2011, Rating curve estimation of nutrient loads in Iowa rivers: Journal of Hydrology, v. 396, no. 1-2, p. 158-169, https://doi.org/10.1016/j.jhydrol.2010.11.006.","productDescription":"12 p.","startPage":"158","endPage":"169","costCenters":[],"links":[{"id":245483,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217530,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2010.11.006"}],"country":"United States","state":"Iowa","otherGeospatial":"Iowa River 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\"}}]}","volume":"396","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a954de4b0c8380cd8192a","contributors":{"authors":[{"text":"Stenback, G.A.","contributorId":16249,"corporation":false,"usgs":true,"family":"Stenback","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":457244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crumpton, W.G.","contributorId":92082,"corporation":false,"usgs":true,"family":"Crumpton","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":457247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":457245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helmers, M.J.","contributorId":89380,"corporation":false,"usgs":true,"family":"Helmers","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":457246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036473,"text":"70036473 - 2011 - Effects of dynamically variable saturation and matrix-conduit coupling of flow in karst aquifers","interactions":[],"lastModifiedDate":"2012-03-12T17:22:05","indexId":"70036473","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Effects of dynamically variable saturation and matrix-conduit coupling of flow in karst aquifers","docAbstract":"Well-developed karst aquifers consist of highly conductive conduits and a relatively low permeability fractured and/or porous rock matrix and therefore behave as a dual-hydraulic system. Groundwater flow within highly permeable strata is rapid and transient and depends on local flow conditions, i.e., pressurized or nonpressurized flow. The characterization of karst aquifers is a necessary and challenging task because information about hydraulic and spatial conduit properties is poorly defined or unknown. To investigate karst aquifers, hydraulic stresses such as large recharge events can be simulated with hybrid (coupled discrete continuum) models. Since existing hybrid models are simplifications of the system dynamics, a new karst model (ModBraC) is presented that accounts for unsteady and nonuniform discrete flow in variably saturated conduits employing the Saint-Venant equations. Model performance tests indicate that ModBraC is able to simulate (1) unsteady and nonuniform flow in variably filled conduits, (2) draining and refilling of conduits with stable transition between free-surface and pressurized flow and correct storage representation, (3) water exchange between matrix and variably filled conduits, and (4) discharge routing through branched and intermeshed conduit networks. Subsequently, ModBraC is applied to an idealized catchment to investigate the significance of free-surface flow representation. A parameter study is conducted with two different initial conditions: (1) pressurized flow and (2) free-surface flow. If free-surface flow prevails, the systems is characterized by (1) a time lag for signal transmission, (2) a typical spring discharge pattern representing the transition from pressurized to free-surface flow, and (3) a reduced conduit-matrix interaction during free-surface flow. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011WR010446","issn":"00431397","usgsCitation":"Reimann, T., Geyer, T., Shoemaker, W., Liedl, R., and Sauter, M., 2011, Effects of dynamically variable saturation and matrix-conduit coupling of flow in karst aquifers: Water Resources Research, v. 47, no. 11, https://doi.org/10.1029/2011WR010446.","costCenters":[],"links":[{"id":475272,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr010446","text":"Publisher Index Page"},{"id":218178,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR010446"},{"id":246163,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"11","noUsgsAuthors":false,"publicationDate":"2011-11-04","publicationStatus":"PW","scienceBaseUri":"505a06d8e4b0c8380cd5143c","contributors":{"authors":[{"text":"Reimann, Thomas","contributorId":45536,"corporation":false,"usgs":true,"family":"Reimann","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":456313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geyer, T.","contributorId":87791,"corporation":false,"usgs":true,"family":"Geyer","given":"T.","email":"","affiliations":[],"preferred":false,"id":456316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoemaker, W.B. 0000-0002-7680-377X","orcid":"https://orcid.org/0000-0002-7680-377X","contributorId":51889,"corporation":false,"usgs":true,"family":"Shoemaker","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":456314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liedl, R.","contributorId":52825,"corporation":false,"usgs":true,"family":"Liedl","given":"R.","email":"","affiliations":[],"preferred":false,"id":456315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sauter, M.","contributorId":32384,"corporation":false,"usgs":true,"family":"Sauter","given":"M.","email":"","affiliations":[],"preferred":false,"id":456312,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036472,"text":"70036472 - 2011 - Characterizing land surface change and levee stability in the Sacramento-San Joaquin Delta using UAVSAR radar imagery","interactions":[],"lastModifiedDate":"2021-01-08T18:55:15.266512","indexId":"70036472","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Characterizing land surface change and levee stability in the Sacramento-San Joaquin Delta using UAVSAR radar imagery","docAbstract":"The islands of the Sacramento-San Joaquin Delta have been subject to subsidence since they were first reclaimed from the estuary marshlands starting over 100 years ago, with most of the land currently lying below mean sea level. This area, which is the primary water resource of the state of California, is under constant threat of inundation from levee failure. Since July 2009, we have been imaging the area using the quad-polarimetric UAVSAR L-band radar, with eighteen data sets collected as of April 2011. Here we report results of our polarimetric and differential interferometric analysis of the data for levee deformation and land surface change.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"International Geoscience and Remote Sensing Symposium (IGARSS)","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011","conferenceDate":"July 24-29, 2011","conferenceLocation":"Vancouver, BC","language":"English","doi":"10.1109/IGARSS.2011.6049546","isbn":"9781457710056","usgsCitation":"Jones, C., Bawden, G., Deverel, S., Dudas, J., and Hensley, S., 2011, Characterizing land surface change and levee stability in the Sacramento-San Joaquin Delta using UAVSAR radar imagery, in International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, BC, July 24-29, 2011, p. 1638-1641, https://doi.org/10.1109/IGARSS.2011.6049546.","productDescription":"4 p.","startPage":"1638","endPage":"1641","numberOfPages":"4","costCenters":[],"links":[{"id":246134,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218149,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/IGARSS.2011.6049546"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","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 36.98500309285596\n ],\n [\n -121.2451171875,\n 36.98500309285596\n ],\n [\n -121.2451171875,\n 38.42777351132902\n ],\n [\n -123.22265625000001,\n 38.42777351132902\n ],\n [\n -123.22265625000001,\n 36.98500309285596\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f4ffe4b0c8380cd4c021","contributors":{"authors":[{"text":"Jones, C.","contributorId":42914,"corporation":false,"usgs":true,"family":"Jones","given":"C.","affiliations":[],"preferred":false,"id":456309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bawden, G.","contributorId":63597,"corporation":false,"usgs":true,"family":"Bawden","given":"G.","email":"","affiliations":[],"preferred":false,"id":456310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deverel, S.","contributorId":34370,"corporation":false,"usgs":true,"family":"Deverel","given":"S.","affiliations":[],"preferred":false,"id":456308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dudas, J.","contributorId":93745,"corporation":false,"usgs":true,"family":"Dudas","given":"J.","email":"","affiliations":[],"preferred":false,"id":456311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hensley, S.","contributorId":6175,"corporation":false,"usgs":true,"family":"Hensley","given":"S.","email":"","affiliations":[],"preferred":false,"id":456307,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036470,"text":"70036470 - 2011 - Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography","interactions":[],"lastModifiedDate":"2021-01-08T19:12:03.452045","indexId":"70036470","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography","docAbstract":"A significant amount of research conducted in the Sonoran Desert of North America has documented, both anecdotally and empirically, major vegetation changes over the past century due to human land use activities. However, many studies lack coincidental landscape-scale data characterizing the spatial and temporal manifestation of these changes. Vegetation changes in a binational (USA and Mexico) watershed were documented using a series of four land cover maps (1979-2009) derived from multispectral satellite imagery. Cover changes are compared to georeferenced, repeat oblique photographs dating from the late 19 th century to present. Results indicate the expansion of grassland over the past 20 years following nearly a century of decline. Historical repeat photography documents early-mid 20 th century mesquite invasions, but recent land cover data and rephotography demonstrate declines in xeroriparian/riparian mesquite communities in recent decades. These vegetation changes are variable over the landscape and influenced by topography and land management.
","largerWorkTitle":"2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings","conferenceTitle":"2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011","conferenceDate":"July 12-14, 2011","conferenceLocation":"Trento, Italy","language":"English","doi":"10.1109/Multi-Temp.2011.6005058","isbn":"9781457712036","usgsCitation":"Villarreal, M., Norman, L.M., Webb, R., Boyer, D.E., and Turner, R., 2011, Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography, in 2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings, Trento, Italy, July 12-14, 2011, p. 101-104, https://doi.org/10.1109/Multi-Temp.2011.6005058.","productDescription":"4 p.","startPage":"101","endPage":"104","costCenters":[],"links":[{"id":246613,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218587,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/Multi-Temp.2011.6005058"}],"country":"United States","state":"Arizona, California","otherGeospatial":"Sonoran Desert of North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.85107421875,\n 32.509761735919426\n ],\n [\n -111.533203125,\n 31.50362930577303\n ],\n [\n -109.3359375,\n 33.94335994657882\n ],\n [\n -115.04882812499999,\n 34.95799531086792\n ],\n [\n -114.85107421875,\n 32.509761735919426\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbcdfe4b08c986b328e4d","contributors":{"authors":[{"text":"Villarreal, M.L.","contributorId":74254,"corporation":false,"usgs":true,"family":"Villarreal","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":456302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":456300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert rhwebb@usgs.gov","contributorId":187755,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"rhwebb@usgs.gov","affiliations":[],"preferred":true,"id":456299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, Diane E.","contributorId":22018,"corporation":false,"usgs":true,"family":"Boyer","given":"Diane","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":456303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, R.E.","contributorId":39749,"corporation":false,"usgs":false,"family":"Turner","given":"R.E.","email":"","affiliations":[{"id":16756,"text":"Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":456301,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036463,"text":"70036463 - 2011 - What is the role of fresh groundwater and recirculated seawater in conveying nutrients to the coastal ocean?","interactions":[],"lastModifiedDate":"2022-11-15T12:06:13.636896","indexId":"70036463","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"What is the role of fresh groundwater and recirculated seawater in conveying nutrients to the coastal ocean?","docAbstract":"Submarine groundwater discharge (SGD) is a major process operating at the land-sea interface. Quantifying the SGD nutrient loads and the marine/terrestrial controls of this transport is of high importance, especially in oligotrophic seas such as the eastern Mediterranean. The fluxes of nutrients in groundwater discharging from the seafloor at Dor Bay (southeastern Mediterranean) were studied in detail using seepage meters. Our main finding is that the terrestrial, fresh groundwater is the main conveyor of DIN and silica to the coastal water, with loads of 500 and 560 mol/yr, respectively, per 1 m shoreline. Conversely, recirculated seawater is nutrient-poor, and its role is mainly as a dilution agent. The nutrient loads regenerated in the subterranean estuary (sub-bay sediment) are relatively small, consisting mostly of ammonium (24 mol/yr). On the other hand, the subterranean estuary at Dor Bay sequesters as much as 100 mol N/yr per 1 m shoreline, mainly via denitrification processes. These, and observations from other SGD sites, imply that the subterranean estuary at some coastal systems may function more as a sink for nitrogen than a source. This further questions the extent of nutrient contributions to the coastal water by some subterranean estuaries and warrants systematic evaluation of this process in various hydrological and marine trophic conditions. ?? 2011 American Chemical Society.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es104394r","issn":"0013936X","usgsCitation":"Weinstein, Y., Yechieli, Y., Shalem, Y., Burnett, W.C., Swarzenski, P.W., and Herut, B., 2011, What is the role of fresh groundwater and recirculated seawater in conveying nutrients to the coastal ocean?: Environmental Science and Technology, v. 45, no. 12, p. 5195-5200, https://doi.org/10.1021/es104394r.","productDescription":"6 p.","startPage":"5195","endPage":"5200","numberOfPages":"6","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":246519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Dor Bay, Mediterranean Sea","volume":"45","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"505bd040e4b08c986b32ed50","contributors":{"authors":[{"text":"Weinstein, Yishai","contributorId":44404,"corporation":false,"usgs":true,"family":"Weinstein","given":"Yishai","email":"","affiliations":[],"preferred":false,"id":514019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yechieli, Yoseph","contributorId":95320,"corporation":false,"usgs":true,"family":"Yechieli","given":"Yoseph","email":"","affiliations":[],"preferred":false,"id":514020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shalem, Yehuda","contributorId":116807,"corporation":false,"usgs":true,"family":"Shalem","given":"Yehuda","email":"","affiliations":[],"preferred":false,"id":514022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burnett, William C.","contributorId":116552,"corporation":false,"usgs":true,"family":"Burnett","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":514021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":514018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herut, Barak","contributorId":119266,"corporation":false,"usgs":true,"family":"Herut","given":"Barak","email":"","affiliations":[],"preferred":false,"id":514023,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70036462,"text":"70036462 - 2011 - Spawning habitat selection of hickory shad","interactions":[],"lastModifiedDate":"2021-01-08T20:14:50.673288","indexId":"70036462","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Spawning habitat selection of hickory shad","docAbstract":"We examined the spawning habitat selectivity of hickory shad Alosa mediocris, an anadromous species on the Atlantic coast of North America. Using plankton tows and artificial substrates (spawning pads), we collected hickory shad eggs in the Roanoke River, North Carolina, to identify spawning timing, temperature, and microhabitat use. Hickory shad eggs were collected by both sampling gears in March and April. The results from this and three other studies in North Carolina indicate that spawning peaks at water temperatures between 12.0°C and 14.9°C and that approximately 90% occurs between 11.0°C and 18.9°C. Hickory shad eggs were collected in run and riffle habitats. Water velocity and substrate were significantly different at spawning pads with eggs than at those without eggs, suggesting that these are important microhabitat factors for spawning. Hickory shad eggs were usually collected in velocities of at least 0.1 m/s and on all substrates except those dominated by silt. Eggs were most abundant on gravel, cobble, and boulder substrates. Hickory shad spawned further upstream in years when water discharge rates at Roanoke Rapids were approximately average during March and April (2005 and 2007), as compared with a severe drought year (2006), suggesting that water flows may affect not only spawning site selection but also the quantity and quality of spawning habitat available at a macrohabitat scale. Using our field data and a Bayesian approach to resource selection analysis, we developed a preliminary habitat suitability model for hickory shad. This Bayesian approach provides an objective framework for updating the model as future studies of hickory shad spawning habitat are conducted.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2011.591263","issn":"02755947","usgsCitation":"Harris, J., and Hightower, J.E., 2011, Spawning habitat selection of hickory shad: North American Journal of Fisheries Management, v. 31, no. 3, p. 495-505, https://doi.org/10.1080/02755947.2011.591263.","productDescription":"11 p.","startPage":"495","endPage":"505","ipdsId":"IP-017175","costCenters":[],"links":[{"id":246484,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218471,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2011.591263"}],"country":"United States","state":"North Carolina","otherGeospatial":"Hickory Shad","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.24462890625,\n 34.74161249883172\n ],\n [\n -74.4873046875,\n 34.74161249883172\n ],\n [\n -74.4873046875,\n 36.527294814546245\n ],\n [\n -78.24462890625,\n 36.527294814546245\n ],\n [\n -78.24462890625,\n 34.74161249883172\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-07-04","publicationStatus":"PW","scienceBaseUri":"505b94d7e4b08c986b31ac7f","contributors":{"authors":[{"text":"Harris, Julianne E.","contributorId":57687,"corporation":false,"usgs":true,"family":"Harris","given":"Julianne E.","affiliations":[],"preferred":false,"id":456260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":456259,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036460,"text":"70036460 - 2011 - Spatial modeling for groundwater arsenic levels in North Carolina","interactions":[],"lastModifiedDate":"2021-01-11T17:14:08.341395","indexId":"70036460","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Spatial modeling for groundwater arsenic levels in North Carolina","docAbstract":"To examine environmental and geologic determinants of arsenic in groundwater, detailed geologic data were integrated with well water arsenic concentration data and well construction data for 471 private wells in Orange County, NC, via a geographic information system. For the statistical analysis, the geologic units were simplified into four generalized categories based on rock type and interpreted mode of deposition/emplacement. The geologic transitions from rocks of a primary pyroclastic origin to rocks of volcaniclastic sedimentary origin were designated as polylines. The data were fitted to a left-censored regression model to identify key determinants of arsenic levels in groundwater. A Bayesian spatial random effects model was then developed to capture any spatial patterns in groundwater arsenic residuals into model estimation. Statistical model results indicate (1) wells close to a transition zone or fault are more likely to contain detectible arsenic; (2) welded tuffs and hydrothermal quartz bodies are associated with relatively higher groundwater arsenic concentrations and even higher for those proximal to a pluton; and (3) wells of greater depth are more likely to contain elevated arsenic. This modeling effort informs policy intervention by creating three-dimensional maps of predicted arsenic levels in groundwater for any location and depth in the area.
","language":"English","publisher":"American Chemical Society.","doi":"10.1021/es103336s","issn":"0013936X","usgsCitation":"Kim, D., Miranda, M., Tootoo, J., Bradley, P., and Gelfand, A., 2011, Spatial modeling for groundwater arsenic levels in North Carolina: Environmental Science & Technology, v. 45, no. 11, p. 4824-4831, https://doi.org/10.1021/es103336s.","productDescription":"8 p.","startPage":"4824","endPage":"4831","costCenters":[],"links":[{"id":475321,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Spatial_Modeling_for_Groundwater_Arsenic_Levels_in_North_Carolina/24724254","text":"External Repository"},{"id":246450,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218440,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es103336s"}],"country":"United States","state":"North 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Carolina\",\"nation\":\"USA \"}}]}","volume":"45","issue":"11","noUsgsAuthors":false,"publicationDate":"2011-04-29","publicationStatus":"PW","scienceBaseUri":"505b9486e4b08c986b31ab45","contributors":{"authors":[{"text":"Kim, D.","contributorId":26178,"corporation":false,"usgs":true,"family":"Kim","given":"D.","email":"","affiliations":[],"preferred":false,"id":456248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, M.L.","contributorId":101928,"corporation":false,"usgs":true,"family":"Miranda","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":456252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tootoo, J.","contributorId":66108,"corporation":false,"usgs":true,"family":"Tootoo","given":"J.","email":"","affiliations":[],"preferred":false,"id":456249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, P.","contributorId":99411,"corporation":false,"usgs":true,"family":"Bradley","given":"P.","email":"","affiliations":[],"preferred":false,"id":456251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gelfand, A.E.","contributorId":85020,"corporation":false,"usgs":true,"family":"Gelfand","given":"A.E.","email":"","affiliations":[],"preferred":false,"id":456250,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034417,"text":"70034417 - 2011 - Coral skeletal carbon isotopes (δ13C and Δ14C) record the delivery of terrestrial carbon to the coastal waters of Puerto Rico","interactions":[],"lastModifiedDate":"2021-04-21T15:05:57.965298","indexId":"70034417","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Coral skeletal carbon isotopes (δ13C and Δ14C) record the delivery of terrestrial carbon to the coastal waters of Puerto Rico","docAbstract":"Tropical small mountainous rivers deliver a poorly quantified, but potentially significant, amount of carbon to the world’s oceans. However, few historical records of land–ocean carbon transfer exist for any region on Earth. Corals have the potential to provide such records, because they draw on dissolved inorganic carbon (DIC) for calcification. In temperate systems, the stable- (δ13C) and radiocarbon (Δ14C) isotopes of coastal DIC are influenced by the δ13C and Δ14C of the DIC transported from adjacent rivers. A similar pattern should exist in tropical coastal DIC and hence coral skeletons. Here, δ13C and Δ14C measurements were made in a 56-year-old Montastraea faveolata coral growing ~1 km from the mouth of the Rio Fajardo in eastern Puerto Rico. Additionally, the δ13C and Δ14C values of the DIC of the Rio Fajardo and its adjacent coastal waters were measured during two wet and dry seasons. Three major findings were observed: (1) synchronous depletions of both δ13C and Δ14C in the coral skeleton are annually coherent with the timing of peak river discharge, (2) riverine DIC was always more depleted in δ13C and Δ14C than seawater DIC, and (3) the correlation of δ13C and Δ14C was the same in both coral skeleton and the DIC of the river and coastal waters. These results indicate that coral skeletal δ13C and Δ14C are recording the delivery of riverine DIC to the coastal ocean. Thus, coral records could be used to develop proxies of historical land–ocean carbon flux for many tropical regions. Such information could be invaluable for understanding the role of tropical land–ocean carbon flux in the context of land-use change and global climate change.
","language":"English","publisher":"Springer","doi":"10.1007/s00338-011-0758-y","issn":"07224028","usgsCitation":"Moyer, R., and Grottoli, A., 2011, Coral skeletal carbon isotopes (δ13C and Δ14C) record the delivery of terrestrial carbon to the coastal waters of Puerto Rico: Coral Reefs, v. 30, no. 3, p. 791-802, https://doi.org/10.1007/s00338-011-0758-y.","productDescription":"12 p.","startPage":"791","endPage":"802","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244661,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216773,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00338-011-0758-y"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.412109375,\n 17.790535393588975\n ],\n [\n -67.412109375,\n 18.656654486540006\n ],\n [\n -65.5224609375,\n 18.656654486540006\n ],\n [\n -65.5224609375,\n 17.790535393588975\n ],\n [\n -67.412109375,\n 17.790535393588975\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-04-23","publicationStatus":"PW","scienceBaseUri":"5059fc0be4b0c8380cd4e0ca","contributors":{"authors":[{"text":"Moyer, R.P.","contributorId":95839,"corporation":false,"usgs":true,"family":"Moyer","given":"R.P.","email":"","affiliations":[],"preferred":false,"id":445675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grottoli, A.G.","contributorId":38811,"corporation":false,"usgs":true,"family":"Grottoli","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":445674,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036644,"text":"70036644 - 2011 - Evidence for foraging -site fidelity and individual foraging behavior of pelagic cormorants rearing chicks in the Gulf of Alaska","interactions":[],"lastModifiedDate":"2020-11-03T14:49:35.829627","indexId":"70036644","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for foraging -site fidelity and individual foraging behavior of pelagic cormorants rearing chicks in the Gulf of Alaska","docAbstract":"The Pelagic Cormorant (Phalacrocorax pelagicus) is the most widespread cormorant in the North Pacific, but little is known about its foraging and diving behavior. However, knowledge of seabirds' foraging behavior is important to understanding their function in the marine environment. In 2006, using GPS dataloggers, we studied the foraging behavior of 14 male Pelagic Cormorants rearing chicks on Middleton Island, Alaska. For foraging, the birds had high fidelity to a small area 8 km north of the colony. Within that area, the cormorants' diving activity was of two distinct kinds—near-surface dives (1–6 m) and benthic dives (28–33 m). Individuals were consistent in the depths of their dives, either mostly shallow or mostly deep. Few showed no depth preference. Dive duration, time at maximum depth, and pauses at the water surface between consecutive dives were shorter for shallow dives than for deep dives. The cormorants made dives of both types throughout the day, but the frequency of deep dives increased toward evening. Maximum foraging range was 9 km; maximum total distance traveled per trip was 43.4 km. Trip durations ranged from 0.3 to 7.7 hr. Maximum depth of a dive was 42.2 m, and duration of dives ranged from 4 to 120 sec. We found that Pelagic Cormorants at Middleton Island were faithful to one particular foraging area and individuals dived in distinct patterns. Distinct, specialized foraging behavior may be advantageous in reducing intra- and interspecific competition but may also render the species vulnerable to changing environmental conditions.
","language":"English","publisher":"Oxford Academic","doi":"10.1525/cond.2011.090158","usgsCitation":"Kotzerka, J., Hatch, S.A., and Garthe, S., 2011, Evidence for foraging -site fidelity and individual foraging behavior of pelagic cormorants rearing chicks in the Gulf of Alaska: Condor, v. 113, no. 1, p. 80-88, https://doi.org/10.1525/cond.2011.090158.","productDescription":"9 p.","startPage":"80","endPage":"88","numberOfPages":"9","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":475366,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.090158","text":"Publisher Index Page"},{"id":245576,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -134.93408203125,\n 56.353077613860826\n ],\n [\n -136.77978515625,\n 58.274843152138224\n ],\n [\n -139.37255859375,\n 59.478568831926395\n ],\n [\n -140.44921875,\n 59.7563950493563\n ],\n [\n -143.37158203125,\n 60.07580342475969\n ],\n [\n -144.25048828125,\n 60.02095215374802\n ],\n [\n -146.27197265625,\n 60.673178565817715\n ],\n [\n -147.45849609375,\n 61.03701223240187\n ],\n [\n -148.16162109375,\n 60.337823495982015\n ],\n [\n -149.677734375,\n 59.977005492196\n ],\n [\n -152.02880859375,\n 58.802361927759456\n ],\n [\n -153.6767578125,\n 56.74067435475299\n ],\n [\n -134.93408203125,\n 56.353077613860826\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"113","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d40e4b0c8380cd52ed8","contributors":{"authors":[{"text":"Kotzerka, J.","contributorId":13070,"corporation":false,"usgs":true,"family":"Kotzerka","given":"J.","affiliations":[],"preferred":false,"id":457133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatch, Scott A. 0000-0002-0064-8187 shatch@usgs.gov","orcid":"https://orcid.org/0000-0002-0064-8187","contributorId":2625,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","email":"shatch@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":457134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garthe, S.","contributorId":98571,"corporation":false,"usgs":true,"family":"Garthe","given":"S.","affiliations":[],"preferred":false,"id":457135,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034418,"text":"70034418 - 2011 - Response of spectral vegetation indices to soil moisture in grasslands and shrublands","interactions":[],"lastModifiedDate":"2017-04-06T13:56:16","indexId":"70034418","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Response of spectral vegetation indices to soil moisture in grasslands and shrublands","docAbstract":"The relationships between satellite-derived vegetation indices (VIs) and soil moisture are complicated because of the time lag of the vegetation response to soil moisture. In this study, we used a distributed lag regression model to evaluate the lag responses of VIs to soil moisture for grasslands and shrublands at Soil Climate Analysis Network sites in the central and western United States. We examined the relationships between Moderate Resolution Imaging Spectroradiometer (MODIS)-derived VIs and soil moisture measurements. The Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) showed significant lag responses to soil moisture. The lag length varies from 8 to 56 days for NDVI and from 16 to 56 days for NDWI. However, the lag response of NDVI and NDWI to soil moisture varied among the sites. Our study suggests that the lag effect needs to be taken into consideration when the VIs are used to estimate soil moisture.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.496471","issn":"01431161","usgsCitation":"Zhang, L., Ji, L., and Wylie, B.K., 2011, Response of spectral vegetation indices to soil moisture in grasslands and shrublands: International Journal of Remote Sensing, v. 32, no. 18, p. 5267-5286, https://doi.org/10.1080/01431161.2010.496471.","productDescription":"20 p.","startPage":"5267","endPage":"5286","numberOfPages":"20","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244694,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216802,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.496471"}],"volume":"32","issue":"18","noUsgsAuthors":false,"publicationDate":"2011-07-04","publicationStatus":"PW","scienceBaseUri":"505aaa6ce4b0c8380cd86313","contributors":{"authors":[{"text":"Zhang, Li","contributorId":98139,"corporation":false,"usgs":true,"family":"Zhang","given":"Li","affiliations":[],"preferred":false,"id":445677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":139587,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":445678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":445676,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034420,"text":"70034420 - 2011 - Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project","interactions":[],"lastModifiedDate":"2017-04-06T12:35:54","indexId":"70034420","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project","docAbstract":"Vegetation Continuous Field (VCF) layers of 30 m percent tree cover, bare ground, other vegetation and probability of water were derived for the conterminous United States (CONUS) using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data sets from the Web-Enabled Landsat Data (WELD) project. Turnkey approaches to land cover characterization were enabled due to the systematic WELD Landsat processing, including conversion of digital numbers to calibrated top of atmosphere reflectance and brightness temperature, cloud masking, reprojection into a continental map projection and temporal compositing. Annual, seasonal and monthly WELD composites for 2008 were used as spectral inputs to a bagged regression and classification tree procedure using a large training data set derived from very high spatial resolution imagery and available ancillary data. The results illustrate the ability to perform Landsat land cover characterizations at continental scales that are internally consistent while retaining local spatial and thematic detail.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.519002","issn":"2150704X","usgsCitation":"Hansen, M., Egorov, A., Roy, D.P., Potapov, P., Ju, J., Turubanova, S., Kommareddy, I., and Loveland, T., 2011, Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project: Remote Sensing Letters, v. 2, no. 4, p. 279-288, https://doi.org/10.1080/01431161.2010.519002.","productDescription":"10 p.","startPage":"279","endPage":"288","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244725,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216830,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.519002"}],"volume":"2","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-11-06","publicationStatus":"PW","scienceBaseUri":"5059fa5ae4b0c8380cd4da7a","contributors":{"authors":[{"text":"Hansen, M.C.","contributorId":69690,"corporation":false,"usgs":false,"family":"Hansen","given":"M.C.","email":"","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":445684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Egorov, Alexey","contributorId":81719,"corporation":false,"usgs":false,"family":"Egorov","given":"Alexey","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":445685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, David P.","contributorId":54761,"corporation":false,"usgs":false,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false},{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false},{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":445682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Potapov, P.","contributorId":39921,"corporation":false,"usgs":true,"family":"Potapov","given":"P.","email":"","affiliations":[],"preferred":false,"id":445681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ju, J.","contributorId":85801,"corporation":false,"usgs":false,"family":"Ju","given":"J.","email":"","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":445686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turubanova, S.","contributorId":21375,"corporation":false,"usgs":true,"family":"Turubanova","given":"S.","affiliations":[],"preferred":false,"id":445680,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kommareddy, I.","contributorId":65693,"corporation":false,"usgs":true,"family":"Kommareddy","given":"I.","email":"","affiliations":[],"preferred":false,"id":445683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loveland, Thomas R. 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":106125,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":445687,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70036610,"text":"70036610 - 2011 - Phytoforensics, dendrochemistry, and phytoscreening: New green tools for delineating contaminants from past and present","interactions":[],"lastModifiedDate":"2020-12-29T18:29:27.440008","indexId":"70036610","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Phytoforensics, dendrochemistry, and phytoscreening: New green tools for delineating contaminants from past and present","docAbstract":"As plants evolved to be extremely proficient in mass transfer with their surroundings and survive as earth’s dominant biomass, they also accumulate and store some contaminants from surroundings, acting as passive samplers. Novel applications and analytical methods have been utilized to gain information about a wide range of contaminants in the biosphere soil, water, and air, with information available on both past (dendrochemistry) and present (phytoscreening). Collectively these sampling approaches provide rapid, cheap, ecologically friendly, and overall “green” tools termed “Phytoforensics”.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es2005286","issn":"0013936X","usgsCitation":"Burken, J., Vroblesky, D., and Balouet, J., 2011, Phytoforensics, dendrochemistry, and phytoscreening: New green tools for delineating contaminants from past and present: Environmental Science & Technology, v. 45, no. 15, p. 6218-6226, https://doi.org/10.1021/es2005286.","productDescription":"9 p.","startPage":"6218","endPage":"6226","costCenters":[],"links":[{"id":245541,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217588,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es2005286"}],"volume":"45","issue":"15","noUsgsAuthors":false,"publicationDate":"2011-07-12","publicationStatus":"PW","scienceBaseUri":"505a7b32e4b0c8380cd792ec","contributors":{"authors":[{"text":"Burken, J.G.","contributorId":30810,"corporation":false,"usgs":true,"family":"Burken","given":"J.G.","affiliations":[],"preferred":false,"id":456993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vroblesky, D.A.","contributorId":101691,"corporation":false,"usgs":true,"family":"Vroblesky","given":"D.A.","affiliations":[],"preferred":false,"id":456995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balouet, J.-C.","contributorId":84597,"corporation":false,"usgs":true,"family":"Balouet","given":"J.-C.","affiliations":[],"preferred":false,"id":456994,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036609,"text":"70036609 - 2011 - Regional long-term production modeling from a single well test, Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope","interactions":[],"lastModifiedDate":"2018-11-15T14:45:02","indexId":"70036609","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Regional long-term production modeling from a single well test, Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope","docAbstract":"Following the results from the open-hole formation pressure response test in the BPXA-DOE-USGS Mount Elbert Gas Hydrate Stratigraphic Test Well (Mount Elbert well) using Schlumberger's Modular Dynamics Formation Tester (MDT) wireline tool, the International Methane Hydrate Reservoir Simulator Code Comparison project performed long-term reservoir simulations on three different model reservoirs. These descriptions were based on 1) the Mount Elbert gas hydrate accumulation as delineated by an extensive history-matching exercise, 2) an estimation of the hydrate accumulation near the Prudhoe Bay L-pad, and 3) a reservoir that would be down-dip of the Prudhoe Bay L-pad and therefore warmer and deeper. All of these simulations were based, in part, on the results of the MDT results from the Mount Elbert Well. The comparison group's consensus value for the initial permeability of the hydrate-filled reservoir (k = 0.12 mD) and the permeability model based on the MDT history match were used as the basis for subsequent simulations on the three regional scenarios. The simulation results of the five different simulation codes, CMG STARS, HydrateResSim, MH-21 HYDRES, STOMP-HYD, and TOUGH+HYDRATE exhibit good qualitative agreement and the variability of potential methane production rates from gas hydrate reservoirs is illustrated. As expected, the predicted methane production rate increased with increasing in situ reservoir temperature; however, a significant delay in the onset of rapid hydrate dissociation is observed for a cold, homogeneous reservoir and it is found to be repeatable. The inclusion of reservoir heterogeneity in the description of this cold reservoir is shown to eliminate this delayed production. Overall, simulations utilized detailed information collected across the Mount Elbert reservoir either obtained or determined from geophysical well logs, including thickness (37 ft), porosity (35%), hydrate saturation (65%), intrinsic permeability (1000 mD), pore water salinity (5 ppt), and formation temperature (3.3–3.9 °C). This paper presents the approach and results of extrapolating regional forward production modeling from history-matching efforts on the results from a single well test.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.01.015","issn":"02648172","usgsCitation":"Anderson, B., Kurihara, M., White, M., Moridis, G.J., Wilson, S., Pooladi-Darvish, M., Gaddipati, M., Masuda, Y., Collett, T.S., Hunter, R., Narita, H., Rose, K., and Boswell, R., 2011, Regional long-term production modeling from a single well test, Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Marine and Petroleum Geology, v. 28, no. 2, p. 493-501, https://doi.org/10.1016/j.marpetgeo.2010.01.015.","productDescription":"9 p.","startPage":"493","endPage":"501","costCenters":[],"links":[{"id":245511,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217558,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.01.015"}],"volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a537e4b0e8fec6cdbd8f","contributors":{"authors":[{"text":"Anderson, B.J.","contributorId":70914,"corporation":false,"usgs":true,"family":"Anderson","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":456988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurihara, M.","contributorId":54823,"corporation":false,"usgs":true,"family":"Kurihara","given":"M.","email":"","affiliations":[],"preferred":false,"id":456985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, M.D.","contributorId":58125,"corporation":false,"usgs":true,"family":"White","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":456986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moridis, G. J.","contributorId":64863,"corporation":false,"usgs":false,"family":"Moridis","given":"G.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":456987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, S.J.","contributorId":93734,"corporation":false,"usgs":true,"family":"Wilson","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":456991,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pooladi-Darvish, M.","contributorId":42455,"corporation":false,"usgs":false,"family":"Pooladi-Darvish","given":"M.","email":"","affiliations":[],"preferred":false,"id":456982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gaddipati, M.","contributorId":81346,"corporation":false,"usgs":true,"family":"Gaddipati","given":"M.","email":"","affiliations":[],"preferred":false,"id":456989,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Masuda, Y.","contributorId":46339,"corporation":false,"usgs":true,"family":"Masuda","given":"Y.","email":"","affiliations":[],"preferred":false,"id":456984,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":456990,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hunter, R.B.","contributorId":29538,"corporation":false,"usgs":true,"family":"Hunter","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":456980,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Narita, H.","contributorId":105565,"corporation":false,"usgs":true,"family":"Narita","given":"H.","email":"","affiliations":[],"preferred":false,"id":456992,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rose, K.","contributorId":43594,"corporation":false,"usgs":true,"family":"Rose","given":"K.","email":"","affiliations":[],"preferred":false,"id":456983,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Boswell, R.","contributorId":35121,"corporation":false,"usgs":true,"family":"Boswell","given":"R.","affiliations":[],"preferred":false,"id":456981,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70036445,"text":"70036445 - 2011 - Monitoring duration and extent of storm-surge and flooding in Western Coastal Louisiana marshes with Envisat ASAR data","interactions":[],"lastModifiedDate":"2021-02-04T20:11:12.263698","indexId":"70036445","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring duration and extent of storm-surge and flooding in Western Coastal Louisiana marshes with Envisat ASAR data","docAbstract":"Inundation maps of coastal marshes in western Louisiana were created with multitemporal Envisat Advanced Synthetic Aperture (ASAR) scenes collected before and during the three months after Hurricane Rita landfall in September 2005. Corroborated by inland water-levels, 7 days after landfall, 48% of coastal estuarine and palustrine marshes remained inundated by storm-surge waters. Forty-five days after landfall, storm-surge inundated 20% of those marshes. The end of the storm-surge flooding was marked by an abrupt decrease in water levels following the passage of a storm front and persistent offshore winds. A complementary dramatic decrease in flood extent was confirmed by an ASAR-derived inundation map. In nonimpounded marshes at elevations <;80 cm, storm-surge waters rapidly receded while slower recession was dominantly associated with impounded marshes at elevations >;80 cm during the first month after Rita landfall. After this initial period, drainage from marshes-especially impounded marshes-was hastened by the onset of offshore winds. Following the abrupt drops in inland water levels and flood extent, rainfall events coinciding with increased water levels were recorded as inundation re-expansion. This postsurge flooding decreased until only isolated impounded and palustrine marshes remained inundated. Changing flood extents were correlated to inland water levels and largely occurred within the same marsh regions. Trends related to incremental threshold increases used in the ASAR change-detection analyses seemed related to the preceding hydraulic and hydrologic events, and VV and HH threshold differences supported their relationship to the overall wetland hydraulic condition.
","language":"English","publisher":"IEEE","doi":"10.1109/JSTARS.2010.2096201","usgsCitation":"Ramsey, E., Lu, Z., Suzuoki, Y., Rangoonwala, A., and Werle, D., 2011, Monitoring duration and extent of storm-surge and flooding in Western Coastal Louisiana marshes with Envisat ASAR data: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 4, no. 2, p. 387-399, https://doi.org/10.1109/JSTARS.2010.2096201.","productDescription":"13 p.","startPage":"387","endPage":"399","numberOfPages":"13","ipdsId":"IP-017499","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":246225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.878173828125,\n 29.420460341013133\n ],\n [\n -91.900634765625,\n 29.420460341013133\n ],\n [\n -91.900634765625,\n 30.30176068632071\n ],\n [\n -93.878173828125,\n 30.30176068632071\n ],\n [\n -93.878173828125,\n 29.420460341013133\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5d9fe4b0c8380cd704b9","contributors":{"authors":[{"text":"Ramsey, Elijah III 0000-0002-4518-5796 ramseye@usgs.gov","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":195558,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah","suffix":"III","email":"ramseye@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":456195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":456197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suzuoki, Yukihiro","contributorId":25283,"corporation":false,"usgs":true,"family":"Suzuoki","given":"Yukihiro","email":"","affiliations":[],"preferred":false,"id":456194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":456196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Werle, Dirk","contributorId":82167,"corporation":false,"usgs":true,"family":"Werle","given":"Dirk","email":"","affiliations":[],"preferred":false,"id":456193,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036442,"text":"70036442 - 2011 - A coral Sr/Ca calibration and replication study of two massive corals from the Gulf of Mexico","interactions":[],"lastModifiedDate":"2022-11-14T15:49:14.116915","indexId":"70036442","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"A coral Sr/Ca calibration and replication study of two massive corals from the Gulf of Mexico","docAbstract":"This study examined the variations in the ratio of strontium-to-calcium (Sr/Ca) for two Atlantic corals (Montastraea faveolata and Siderastrea siderea) from the Dry Tortugas National Park (centered on 24.7°N, 82.8°W) in the Gulf of Mexico. Cores from coral colonies in close proximity (10s of meters) and with the same environmental conditions (i.e., depth and water chemistry) were micro-sampled with approximately monthly resolution and the resulting Sr/Ca variations were calibrated with local sea surface temperature (SST) records. Replication tests for coral Sr/Ca variations found high agreement between intra-colony variations and between individual colonies of S. siderea (a single M. faveolata colony was sampled). Regression analysis of monthly variations in coral Sr/Ca and local SST revealed significant correlation on monthly and inter-annual timescales. Verification of the calibration on different timescales found coral Sr/Ca–SST reconstructions in S. siderea were more accurate than those from M. faveolata, especially on inter-annual timescales. Sr/Ca–SST calibration equations for the two species are significantly different (cf., Sr/Ca = -0.042 SST + 10.070, S. siderea; Sr/Ca = -0.027 SST + 9.893, M. faveolata). Mean linear extension for M. faveolata is approximately twice that of S. siderea (4.63, 4.31, and 8.31 mm year−1, A1, F1, and B3, respectively); however, seasonal Sr/Ca variability in M. faveolata is less than S. siderea (0.323, 0.353, and 0.254 mmol mol−1, A1, F1, and B3, respectively). The reduced slope for M. faveolata is attributed to physical sampling issues associated with complex time-skeletal structure of M. faveolata, i.e., a sampling effect, and not a growth effect since the faster growing M. faveolata has the reduced Sr/Ca variability.
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