The phenomenon of arsenite [As(III)] oxidation by aerobic bacteria was first reported by Green (1918), and the many subsequent discoveries made in this realm, most occurring over the past three decades, are the primary focus of this book. In contrast, the fact that select anaerobes can also achieve this feat was an entirely serendipitous discovery. As often occurs in science, the intended path leading towards a stated goal can take an unexpected turn, ultimately leading to greater rewards than those originally anticipated. The intellectual freedom to meander such a path of curiosity-driven research is a great gift especially when one arrives at an unexpected revelation. It is perhaps the most rewarding aspect of a scientist's career. Such was the case when we first uncovered the phenomenon of anaerobic As(III) oxidation.
\nOur arsenic-related field work focused on Mono Lake, California because of its exceptionally high levels of dissolved inorganic arsenic (~200 μM), and the fact that we had previously isolated two novel species of arsenate [As(V)]-respiring bacteria, Bacillus arseniciselenatis and B. selenitireducens from its bottom sediments(Switzer Blum et al., 1998). Radiotracer investigations employing 73As(V) measured high As(V) reductase activity in the anoxic water column of the lake, yielding an estimate that this electron sink could mineralize approximately 8-14% of annual phytoplankton productivity (Oremland et al., 2000), a value confirmed independently on the basis of mass balance considerations (Hollibaugh et al., 2005). In both studies both groups also used cultivation-based methods (Most-Probable-Numbers) to estimate the densities of As(V)-respiring bacteria in the anoxic water column, and arrived at similar low but detectable values (e.g. 102-103 ml-1). The next goal was to determine what taxa of As(V)-respiring prokaryotes were involved in these water-column transformations, using culture-independent analyses (Denaturing Gradient Gel Electrophoresis) of As(V)-amended anoxic bottom water.
\nWe had expected to find 16S rRNA gene amplicon sequences similar to those from the bacilli we isolated from the sediments, but instead found a few rather unremarkable amplicons in the Epsilon, Gamma and Delta proteobacteria; yet these incubations showed a complete reduction of the added As(V), caused by sulfide-linked oxidation by resident chemoautotrophs of the Delta-proteobacteria (Hoeft et al., 2004; Hollibaugh et al., 2006). This As(V) reductase activity was inhibited by nitrate, while addition of As(III) to nitrate-amended waters resulted in the formation of As(V). This observation led us to conclude that there was anaerobic biological oxidation of As(III) to As(V), linked to the provided nitrate ions (Hoeft et al., 2002).
\n","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The metabolism of arsenite","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Oremland, R.S., Stolz, J.F., and Saltikov, C.W., 2012, Anaerobic oxidation of arsenite by autotrophic bacteria: The view from Mono Lake, California, chap. 6 of The metabolism of arsenite, p. 73-80.","productDescription":"8 p.","startPage":"73","endPage":"80","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031602","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":320534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320533,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcnetbase.com/doi/book/10.1201/b12350"}],"country":"United States","state":"California","otherGeospatial":"Mono Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.1683691984489,\n 38.09372588107411\n ],\n [\n -119.1683691984489,\n 37.91122405649551\n ],\n [\n -118.86936440270786,\n 37.91122405649551\n ],\n [\n -118.86936440270786,\n 38.09372588107411\n ],\n [\n -119.1683691984489,\n 38.09372588107411\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571f3faee4b071321fe569fd","contributors":{"editors":[{"text":"Santini, Joanne M.","contributorId":168895,"corporation":false,"usgs":false,"family":"Santini","given":"Joanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":627615,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ward, Seamus A.","contributorId":168896,"corporation":false,"usgs":false,"family":"Ward","given":"Seamus","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":627616,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":627612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stolz, John F.","contributorId":47225,"corporation":false,"usgs":true,"family":"Stolz","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":627613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saltikov, Chad W.","contributorId":66110,"corporation":false,"usgs":true,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":627614,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042734,"text":"70042734 - 2012 - Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes","interactions":[],"lastModifiedDate":"2021-03-29T18:24:24.482065","indexId":"70042734","displayToPublicDate":"2012-01-01T16:07:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes","docAbstract":"
Freshwater forested wetlands commonly occur in the lower Coastal Plain of the southeastern US with baldcypress (Taxodium distichum [L.] L.C. Rich.) and water tupelo (Nyssa aquatica L.) often being the dominant trees. Extensive anthropogenic activities combined with eustatic sea-level rise and land subsidence have caused widespread hydrological changes in many of these forests. In addition, hurricanes (a common, although aperiodic occurrence) cause wide-spread damage from wind and storm surge events, with impacts exacerbated by human-mediated coastal modifications (e.g., dredging, navigation channels, etc.). Restoration of forested wetlands in coastal areas is important because emergent canopies can greatly diminish wind penetration, thereby reducing the wind stress available to generate surface waves and storm surge that are the major cause of damage to coastal ecosystems and their surrounding communities. While there is an overall paucity of large-scale restoration efforts within coastal forested wetlands of the southeastern US, we have determined important characteristics that should drive future efforts. Restoration efforts may be enhanced considerably if coupled with hydrological enhancement, such as freshwater, sediment, or sewage wastewater diversions. Large-scale restoration of coastal forests should be attempted to create a landscape capable of minimizing storm impacts and maximizing wetland sustainability in the face of climate change. Planting is the preferred regeneration method in many forested wetland sites because hydrological alterations have increased flooding, and planted seedlings must be protected from herbivory to enhance establishment. Programs identifying salt tolerance in coastal forest tree species need to be continued to help increase resilience to repetitive storm surge events.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"A goal-oriented approach to forest landscape restoration","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/978-94-007-5338-9_16","usgsCitation":"Conner, W.H., Krauss, K.W., and Shaffer, G., 2012, Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes, chap. of A goal-oriented approach to forest landscape restoration, v. 16, p. 423-442, https://doi.org/10.1007/978-94-007-5338-9_16.","productDescription":"20 p.","startPage":"423","endPage":"442","numberOfPages":"20","ipdsId":"IP-019683","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":275653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Delaware, Florida, Georgia, Louisiana, Mississippi, New Jersey, North Carolina, Pennsylvania, South Carolina, Texas, Virginia","otherGeospatial":"Lower Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.02,24.52 ], [ -99.02,41.96 ], [ -72.16,41.96 ], [ -72.16,24.52 ], [ -99.02,24.52 ] ] ] } } ] }","volume":"16","noUsgsAuthors":false,"publicationDate":"2012-10-26","publicationStatus":"PW","scienceBaseUri":"51fa31e7e4b076c3a8d8267e","contributors":{"authors":[{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":472132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":472130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Gary P.","contributorId":72688,"corporation":false,"usgs":true,"family":"Shaffer","given":"Gary P.","affiliations":[],"preferred":false,"id":472131,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043501,"text":"70043501 - 2012 - Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance","interactions":[],"lastModifiedDate":"2022-03-30T17:21:38.000969","indexId":"70043501","displayToPublicDate":"2012-01-01T15:41:23","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance","docAbstract":"Evapotranspiration (ET) is an important component of the hydrologic budget because it režects the exchange of mass and energy between the soil-water-vegetation system and the atmosphere. Prevailing weather conditions inžuence potential or reference ET through variables such as radiation, temperature, wind, and relativity humidity. In addition to these weather variables, actual ET (ETa) is also affected by land cover type and condition, as well as soil moisture. The dependence of ETa on land cover and soil moisture, and its direct relationship with carbon dioxide assimilation in plants, makes it an important variable for monitoring drought, crop yield, and biomass-a critical capability for decision makers interested in food security, grain markets, water allocation, and carbon sequestration (Bastiaanssen et al., 2005).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of drought: Innovative monitoring approaches","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/b11863-13","usgsCitation":"Senay, G., Bohms, S., Verdin, J.P., Anderson, M.C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J.R., and Kustas, W.P., 2012, Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance, chap. 6 of Remote sensing of drought: Innovative monitoring approaches, p. 123-144, https://doi.org/10.1201/b11863-13.","productDescription":"22 p.","startPage":"123","endPage":"144","ipdsId":"IP-030945","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":509208,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":66808,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","affiliations":[],"preferred":false,"id":473723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@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":473722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Martha C.","contributorId":96579,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":839295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hain, Christopher","contributorId":191966,"corporation":false,"usgs":false,"family":"Hain","given":"Christopher","email":"","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":839296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wardlow, Brian D.","contributorId":270267,"corporation":false,"usgs":false,"family":"Wardlow","given":"Brian D.","affiliations":[{"id":33286,"text":"School of Natural Resources, University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":839297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pimstein, Agustin","contributorId":289546,"corporation":false,"usgs":false,"family":"Pimstein","given":"Agustin","email":"","affiliations":[],"preferred":false,"id":839298,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mecikalski, John R.","contributorId":70689,"corporation":false,"usgs":true,"family":"Mecikalski","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":839299,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kustas, William P.","contributorId":29962,"corporation":false,"usgs":false,"family":"Kustas","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":839300,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70004987,"text":"70004987 - 2012 - Population dynamics of Corbicula fluminea (Müller, 1774) in mesohaline and oligohaline habitats: Invasion success in a Southern Europe estuary","interactions":[],"lastModifiedDate":"2020-01-14T08:31:46","indexId":"70004987","displayToPublicDate":"2012-01-01T14:57:45","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Population dynamics of Corbicula fluminea (Müller, 1774) in mesohaline and oligohaline habitats: Invasion success in a Southern Europe estuary","docAbstract":"Due to its range expansion and potential ecological effects, Corbicula fluminea is considered one of the most important non-indigenous species (NIS) in aquatic ecosystems. Its presence since 2003 in the upstream area of Mondego estuary (oligohaline and mesohaline sectors) was studied during thirteen months, from December 2007 to December 2008. Monthly mean abundance and biomass ranged from 542 to 11142 individuals m-2 and 13.1–20.4 g Ash Free Dry Weight m-2, respectively. Populations of C.fluminea were composed mostly of juveniles, always present in extremely high densities compared to other estuarine ecosystems (e.g. Minho estuary) suggesting a continuous recruitment pattern. The hydraulic regime of the River Mondego favours the downstream colonization of the upper Mondego estuary by recruits produced upstream. However, salinity in these sectors of the estuary apparently neither favours growth nor the establishment of structured populations of this species. Other factors like contaminants and predation, which were not studied, could also contribute to the community structure observed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2011.07.014","usgsCitation":"Franco, J., Ceia, F., Patricio, J., Thompson, J.K., Marques, J., and Neto, J., 2012, Population dynamics of Corbicula fluminea (Müller, 1774) in mesohaline and oligohaline habitats: Invasion success in a Southern Europe estuary: Estuarine, Coastal and Shelf Science, v. 112, p. 31-39, https://doi.org/10.1016/j.ecss.2011.07.014.","productDescription":"9 p.","startPage":"31","endPage":"39","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":488094,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3417440","text":"External Repository"},{"id":259264,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -30.322265625000004,\n 37.996162679728116\n ],\n [\n -7.207031249999999,\n 37.996162679728116\n ],\n [\n -7.207031249999999,\n 49.83798245308484\n ],\n [\n -30.322265625000004,\n 49.83798245308484\n ],\n [\n -30.322265625000004,\n 37.996162679728116\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"112","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7d43e4b0c8380cd79e47","contributors":{"authors":[{"text":"Franco, J.N.","contributorId":58525,"corporation":false,"usgs":true,"family":"Franco","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":351779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ceia, F.R.","contributorId":55289,"corporation":false,"usgs":true,"family":"Ceia","given":"F.R.","email":"","affiliations":[],"preferred":false,"id":351778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patricio, J.","contributorId":40865,"corporation":false,"usgs":true,"family":"Patricio","given":"J.","email":"","affiliations":[],"preferred":false,"id":351776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":779376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marques, J.C.","contributorId":53246,"corporation":false,"usgs":true,"family":"Marques","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":351777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neto, J.M.","contributorId":25043,"corporation":false,"usgs":true,"family":"Neto","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":351774,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043302,"text":"70043302 - 2012 - Future opportunities and challenges in remote sensing of drought","interactions":[],"lastModifiedDate":"2022-04-01T22:49:50.479918","indexId":"70043302","displayToPublicDate":"2012-01-01T13:20:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Future opportunities and challenges in remote sensing of drought","docAbstract":"The value of satellite remote sensing for drought monitoring was first realized more than two decades ago with the application of Normalized Difference Index (NDVI) data from the Advanced Very High Resolution Radiometer (AVHRR) for assessing the effect of drought on vegetation. Other indices such as the Vegetation Health Index (VHI) were also developed during this time period, and applied to AVHRR NDVI and brightness temperature data for routine global monitoring of drought conditions. These early efforts demonstrated the unique perspective that global imagers such as AVHRR could provide for operational drought monitoring through their near-daily, global observations of Earth's land surface. However, the advancement of satellite remote sensing of drought was limited by the relatively few spectral bands of operational global sensors such as AVHRR, along with a relatively short period of observational record. Remote sensing advancements are of paramount importance given the increasing demand for tools that can provide accurate, timely, and integrated information on drought conditions to facilitate proactive decision making (NIDIS, 2007). Satellite-based approaches are key to addressing significant gaps in the spatial and temporal coverage of current surface station instrument networks providing key moisture observations (e.g., rainfall, snow, soil moisture, ground water, and ET) over the United States and globally (NIDIS, 2007). Improved monitoring capabilities will be particularly important given increases in spatial extent, intensity, and duration of drought events observed in some regions of the world, as reported in the International Panel on Climate Change (IPCC) report (IPCC, 2007). The risk of drought is anticipated to further increase in some regions in response to climatic changes in the hydrologic cycle related to evaporation, precipitation, air temperature, and snow cover (Burke et al., 2006; IPCC, 2007; USGCRP, 2009). Numerous national, regional, and global efforts such as the Famine and Early Warning System (FEWS), National Integrated Drought Information System (NIDIS), and Group on Earth Observations (GEO), as well as the establishment of regional drought centers (e.g., European Drought Observatory) and geospatial visualization and monitoring systems (e.g, NASA SERVIR) have been undertaken to improve drought monitoring and early warning systems throughout the world. The suite of innovative remote sensing tools that have recently emerged will be looked upon to fill important data and knowledge gaps (NIDIS, 2007; NRC, 2007) to address a wide range of drought-related issues including food security, water scarcity, and human health.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of drought: innovative monitoring approaches","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","doi":"10.1201/b11863-23","usgsCitation":"Wardlow, B.D., Anderson, M.C., Sheffield, J., Doorn, B., Verdin, J., Zhan, X., and Rodell, M., 2012, Future opportunities and challenges in remote sensing of drought, chap. of Remote sensing of drought: innovative monitoring approaches, p. 389-410, https://doi.org/10.1201/b11863-23.","productDescription":"22 p.","startPage":"389","endPage":"410","ipdsId":"IP-031383","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474601,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20120003712","text":"External Repository"},{"id":276693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520f49e1e4b0fc50304bc4b4","contributors":{"editors":[{"text":"Wardlow, Brian D.","contributorId":75845,"corporation":false,"usgs":true,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":509193,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Anderson, Martha C.","contributorId":96579,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":509194,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":509192,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Wardlow, Brian D.","contributorId":75845,"corporation":false,"usgs":true,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":473339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Martha C.","contributorId":96579,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":473341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheffield, Justin","contributorId":69462,"corporation":false,"usgs":true,"family":"Sheffield","given":"Justin","affiliations":[],"preferred":false,"id":473337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doorn, Brad","contributorId":74288,"corporation":false,"usgs":true,"family":"Doorn","given":"Brad","email":"","affiliations":[],"preferred":false,"id":473338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verdin, James 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":145830,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":839357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhan, Xiwu","contributorId":41323,"corporation":false,"usgs":true,"family":"Zhan","given":"Xiwu","email":"","affiliations":[],"preferred":false,"id":473336,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rodell, Matt","contributorId":93806,"corporation":false,"usgs":true,"family":"Rodell","given":"Matt","email":"","affiliations":[],"preferred":false,"id":473340,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70104797,"text":"70104797 - 2012 - Post-wildfire wind erosion in and around the Idaho National Laboratory Site","interactions":[],"lastModifiedDate":"2014-05-27T13:18:54","indexId":"70104797","displayToPublicDate":"2012-01-01T13:12:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Post-wildfire wind erosion in and around the Idaho National Laboratory Site","docAbstract":"Wind erosion following large wildfires on and around the INL Site is a recurrent threat to human health and safety, DOE operations and trafficability, and ecological and hydrological condition of the INL Site and down-wind landscapes. Causes and consequences of wind erosion are mainly known from warm deserts (e.g., Southwest U.S.), dunefields, and croplands, and some but not all findings are transferable to the cold desert environments such as where the INL Site lies.","language":"English","publisher":"Environmental Surveillance, Education, and Research Program","publisherLocation":"Idaho Falls, ID","usgsCitation":"Germino, M., 2012, Post-wildfire wind erosion in and around the Idaho National Laboratory Site, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-053872","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":287605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287259,"type":{"id":15,"text":"Index Page"},"url":"https://www.gsseser.com/LandManagement/postfireerosion2012.html"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.135529,43.424288 ], [ -113.135529,43.887645 ], [ -112.601072,43.887645 ], [ -112.601072,43.424288 ], [ -113.135529,43.424288 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3fce4b09e18fc023a83","contributors":{"authors":[{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":493797,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70154847,"text":"70154847 - 2012 - Endangered river fish: factors hindering conservation and restoration","interactions":[],"lastModifiedDate":"2015-07-10T10:55:21","indexId":"70154847","displayToPublicDate":"2012-01-01T12:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Endangered river fish: factors hindering conservation and restoration","docAbstract":"Globally, riverine fish face many anthropogenic threats including riparian and flood plain habitat degradation, altered hydrology, migration barriers, fisheries exploitation, environmental (climate) change, and introduction of invasive species. Collectively, these threats have made riverine fishes some of the most threatened taxa on the planet. Although much effort has been devoted to identifying the threats faced by river fish, there has been less effort devoted to identifying the factors that may hinder our ability to conserve and restore river fish populations and their watersheds. Therefore, we focus our efforts on identifying and discussing 10 general factors (can also be viewed as research and implementation needs) that constrain or hinder effective conservation action for endangered river fish: (1) limited basic natural history information; (2) limited appreciation for the scale/extent of migrations and the level of connectivity needed to sustain populations; (3) limited understanding of fish/river-flow relationships; (4) limited understanding of the seasonal aspects of river fish biology, particularly during winter and/or wet seasons; (5) challenges in predicting the response of river fish and river ecosystems to both environmental change and various restoration or management actions; (6) limited understanding of the ecosystem services provided by river fish; (7) the inherent difficulty in studying river fish; (8) limited understanding of the human dimension of river fish conservation and management; (9) limitations of single species approaches that often fail to address the broader-scale problems; and (10) limited effectiveness of governance structures that address endangered river fish populations and rivers that cross multiple jurisdictions. We suggest that these issues may need to be addressed to help protect, restore, or conserve river fish globally, particularly those that are endangered.
","language":"English","publisher":"Inter-Research","publisherLocation":"Oldendorf, Germany","doi":"10.3354/esr00426","usgsCitation":"Cooke, S., Paukert, C.P., and Hogan, Z., 2012, Endangered river fish: factors hindering conservation and restoration: Endangered Species Research, v. 17, no. 2, p. 179-191, https://doi.org/10.3354/esr00426.","productDescription":"13 p.","startPage":"179","endPage":"191","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033972","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00426","text":"Publisher Index Page"},{"id":305650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a0ecb1e4b0183d66e43036","contributors":{"authors":[{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":564595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, Zeb","contributorId":145553,"corporation":false,"usgs":false,"family":"Hogan","given":"Zeb","email":"","affiliations":[],"preferred":false,"id":564596,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202998,"text":"70202998 - 2012 - Introduction to phytoremediation of contaminated groundwater","interactions":[],"lastModifiedDate":"2022-05-03T16:57:28.904741","indexId":"70202998","displayToPublicDate":"2012-01-01T11:16:11","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Introduction to phytoremediation of contaminated groundwater","docAbstract":"This book provides the reader with the comprehensive view necessary to understand and critically evaluate the design, implementation, and monitoring of phytoremediation at sites characterized by contaminated groundwater. Part I presents the historical foundation of the interaction between plants and groundwater, introduces fundamental groundwater concepts for plant physiologists, and introduces basic plant physiology for hydrogeologists. Part II presents information on how to assess, design, implement, and monitor phytoremediation projects for hydrologic control. Part III presents how plants take up and detoxify a wide range of organic xenobiotics in contaminated groundwater systems, and provides various approaches on how this can be assessed and monitored. Throughout, concepts are emphasized with numerous case studies, illustrations and pertinent literature citations.
Distributed hydrologic models typically require spatial estimates of precipitation interpolated from sparsely located observational points to the specific grid points. We compare and contrast the performance of regression-based statistical methods for the spatial estimation of precipitation in two hydrologically different basins and confirmed that widely used regression-based estimation schemes fail to describe the realistic spatial variability of daily precipitation field. The methods assessed are: (1) inverse distance weighted average; (2) multiple linear regression (MLR); (3) climatological MLR; and (4) locally weighted polynomial regression (LWP). In order to improve the performance of the interpolations, the authors propose a two-step regression technique for effective daily precipitation estimation. In this simple two-step estimation process, precipitation occurrence is first generated via a logistic regression model before estimate the amount of precipitation separately on wet days. This process generated the precipitation occurrence, amount, and spatial correlation effectively. A distributed hydrologic model (PRMS) was used for the impact analysis in daily time step simulation. Multiple simulations suggested noticeable differences between the input alternatives generated by three different interpolation schemes. Differences are shown in overall simulation error against the observations, degree of explained variability, and seasonal volumes. Simulated streamflows also showed different characteristics in mean, maximum, minimum, and peak flows. Given the same parameter optimization technique, LWP input showed least streamflow error in Alapaha basin and CMLR input showed least error (still very close to LWP) in Animas basin. All of the two-step interpolation inputs resulted in lower streamflow error compared to the directly interpolated inputs.
","language":"English","publisher":"Springer Link","doi":"10.1007/s00477-011-0509-1","issn":"14363240","usgsCitation":"Hwang, Y., Clark, M., Rajagopalan, B., and Leavesley, G.H., 2012, Spatial interpolation schemes of daily precipitation for hydrologic modeling: Stochastic Environmental Research and Risk Assessment, v. 26, no. 2, p. 295-320, https://doi.org/10.1007/s00477-011-0509-1.","productDescription":"26 p.","startPage":"295","endPage":"320","costCenters":[],"links":[{"id":214027,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00477-011-0509-1"},{"id":241714,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Georgia","otherGeospatial":"Durango, Statenville","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.0010986328125,\n 37.118716304960124\n ],\n [\n -107.78961181640625,\n 37.118716304960124\n ],\n [\n -107.78961181640625,\n 37.32102825630305\n ],\n [\n -108.0010986328125,\n 37.32102825630305\n ],\n [\n -108.0010986328125,\n 37.118716304960124\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.078369140625,\n 30.637912028341123\n ],\n [\n -82.85888671875,\n 30.637912028341123\n ],\n [\n -82.85888671875,\n 32.519026027827515\n ],\n [\n -84.078369140625,\n 32.519026027827515\n ],\n [\n -84.078369140625,\n 30.637912028341123\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-07-06","publicationStatus":"PW","scienceBaseUri":"505b9483e4b08c986b31ab31","contributors":{"authors":[{"text":"Hwang, Y.","contributorId":62034,"corporation":false,"usgs":true,"family":"Hwang","given":"Y.","email":"","affiliations":[],"preferred":false,"id":435983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, M.R.","contributorId":88135,"corporation":false,"usgs":true,"family":"Clark","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":435985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rajagopalan, B.","contributorId":86947,"corporation":false,"usgs":true,"family":"Rajagopalan","given":"B.","email":"","affiliations":[],"preferred":false,"id":435984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leavesley, George H. george@usgs.gov","contributorId":1202,"corporation":false,"usgs":true,"family":"Leavesley","given":"George","email":"george@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":435986,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189204,"text":"70189204 - 2012 - MT3DMS: Model use, calibration, and validation","interactions":[],"lastModifiedDate":"2017-07-05T16:15:38","indexId":"70189204","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"MT3DMS: Model use, calibration, and validation","docAbstract":"MT3DMS is a three-dimensional multi-species solute transport model for solving advection, dispersion, and chemical reactions of contaminants in saturated groundwater flow systems. MT3DMS interfaces directly with the U.S. Geological Survey finite-difference groundwater flow model MODFLOW for the flow solution and supports the hydrologic and discretization features of MODFLOW. MT3DMS contains multiple transport solution techniques in one code, which can often be important, including in model calibration. Since its first release in 1990 as MT3D for single-species mass transport modeling, MT3DMS has been widely used in research projects and practical field applications. This article provides a brief introduction to MT3DMS and presents recommendations about calibration and validation procedures for field applications of MT3DMS. The examples presented suggest the need to consider alternative processes as models are calibrated and suggest opportunities and difficulties associated with using groundwater age in transport model calibration.
","language":"English","publisher":"ASABE","doi":"10.13031/2013.42263","usgsCitation":"Zheng, C., Hill, M.C., Cao, G., and Ma, R., 2012, MT3DMS: Model use, calibration, and validation: Transactions of the ASABE, v. 55, no. 4, p. 1549-1559, https://doi.org/10.13031/2013.42263.","productDescription":"11 p.","startPage":"1549","endPage":"1559","ipdsId":"IP-040350","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595dfab9e4b0d1f9f056a7b6","contributors":{"authors":[{"text":"Zheng, C.","contributorId":39976,"corporation":false,"usgs":true,"family":"Zheng","given":"C.","email":"","affiliations":[],"preferred":false,"id":703498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cao, G.","contributorId":22970,"corporation":false,"usgs":true,"family":"Cao","given":"G.","email":"","affiliations":[],"preferred":false,"id":703500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ma, R.","contributorId":17458,"corporation":false,"usgs":true,"family":"Ma","given":"R.","email":"","affiliations":[],"preferred":false,"id":703501,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035492,"text":"70035492 - 2012 - An approach to regional wetland digital elevation model development using a differential global positioning system and a custom-built helicopter-based surveying system","interactions":[],"lastModifiedDate":"2020-11-23T16:39:21.889556","indexId":"70035492","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","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":"An approach to regional wetland digital elevation model development using a differential global positioning system and a custom-built helicopter-based surveying system","docAbstract":"Accurate topographic data are critical to restoration science and planning for the Everglades region of South Florida, USA. They are needed to monitor and simulate water level, water depth and hydroperiod and are used in scientific research on hydrologic and biologic processes. Because large wetland environments and data acquisition challenge conventional ground-based and remotely sensed data collection methods, the United States Geological Survey (USGS) adapted a classical data collection instrument to global positioning system (GPS) and geographic information system (GIS) technologies. Data acquired with this instrument were processed using geostatistics to yield sub-water level elevation values with centimetre accuracy (±15 cm). The developed database framework, modelling philosophy and metadata protocol allow for continued, collaborative model revision and expansion, given additional elevation or other ancillary data.
","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/01431161.2010.533212","issn":"01431161","usgsCitation":"Jones, J.W., Desmond, G., Henkle, C., and Glover, R., 2012, An approach to regional wetland digital elevation model development using a differential global positioning system and a custom-built helicopter-based surveying system: International Journal of Remote Sensing, v. 33, no. 2, p. 450-465, https://doi.org/10.1080/01431161.2010.533212.","productDescription":"16 p.","startPage":"450","endPage":"465","costCenters":[],"links":[{"id":242952,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215170,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.533212"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.14501953125,\n 25.105497373014686\n ],\n [\n -80.22216796875,\n 25.145284610685064\n ],\n [\n -79.8486328125,\n 25.898761936567023\n ],\n [\n -79.9365234375,\n 26.33280692289788\n ],\n [\n -82.0458984375,\n 26.33280692289788\n ],\n [\n -81.14501953125,\n 25.105497373014686\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-10-28","publicationStatus":"PW","scienceBaseUri":"5059ea0ce4b0c8380cd485db","contributors":{"authors":[{"text":"Jones, J. W.","contributorId":89233,"corporation":false,"usgs":true,"family":"Jones","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":450891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Desmond, G.B.","contributorId":35014,"corporation":false,"usgs":true,"family":"Desmond","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":450890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henkle, C.","contributorId":91319,"corporation":false,"usgs":true,"family":"Henkle","given":"C.","email":"","affiliations":[],"preferred":false,"id":450892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glover, R.","contributorId":103106,"corporation":false,"usgs":true,"family":"Glover","given":"R.","email":"","affiliations":[],"preferred":false,"id":450893,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032540,"text":"70032540 - 2012 - A multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data","interactions":[],"lastModifiedDate":"2020-11-30T21:58:43.196979","indexId":"70032540","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data","docAbstract":"Lake Turkana is one of the largest desert lakes in the world and is characterized by high degrees of inter- and intra-annual fluctuations. The hydrology and water balance of this lake have not been well understood due to its remote location and unavailability of reliable ground truth datasets. Managing surface water resources is a great challenge in areas where in-situ data are either limited or unavailable. In this study, multi-source satellite-driven data such as satellite-based rainfall estimates, modelled runoff, evapotranspiration, and a digital elevation dataset were used to model Lake Turkana water levels from 1998 to 2009. Due to the unavailability of reliable lake level data, an approach is presented to calibrate and validate the water balance model of Lake Turkana using a composite lake level product of TOPEX/Poseidon, Jason-1, and ENVISAT satellite altimetry data. Model validation results showed that the satellite-driven water balance model can satisfactorily capture the patterns and seasonal variations of the Lake Turkana water level fluctuations with a Pearson's correlation coefficient of 0.90 and a Nash-Sutcliffe Coefficient of Efficiency (NSCE) of 0.80 during the validation period (2004–2009). Model error estimates were within 10% of the natural variability of the lake. Our analysis indicated that fluctuations in Lake Turkana water levels are mainly driven by lake inflows and over-the-lake evaporation. Over-the-lake rainfall contributes only up to 30% of lake evaporative demand. During the modelling time period, Lake Turkana showed seasonal variations of 1–2 m. The lake level fluctuated in the range up to 4 m between the years 1998–2009. This study demonstrated the usefulness of satellite altimetry data to calibrate and validate the satellite-driven hydrological model for Lake Turkana without using any in-situ data. Furthermore, for Lake Turkana, we identified and outlined opportunities and challenges of using a calibrated satellite-driven water balance model for (i) quantitative assessment of the impact of basin developmental activities on lake levels and for (ii) forecasting lake level changes and their impact on fisheries. From this study, we suggest that globally available satellite altimetry data provide a unique opportunity for calibration and validation of hydrologic models in ungauged basins.
","language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/hess-16-1-2012","issn":"10275606","usgsCitation":"Velpuri, N., Senay, G., and Asante, K., 2012, A multi-source satellite data approach for modelling Lake Turkana water level: Calibration and validation using satellite altimetry data: Hydrology and Earth System Sciences, v. 16, no. 1, p. 1-18, https://doi.org/10.5194/hess-16-1-2012.","productDescription":"18 p.","startPage":"1","endPage":"18","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474744,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-16-1-2012","text":"Publisher Index Page"},{"id":241758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214070,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hess-16-1-2012"}],"country":"Kenya","otherGeospatial":"Lake Turkana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 35.79345703125,\n 2.4162756547063857\n ],\n [\n 36.8701171875,\n 2.4162756547063857\n ],\n [\n 36.8701171875,\n 4.718777551249855\n ],\n [\n 35.79345703125,\n 4.718777551249855\n ],\n [\n 35.79345703125,\n 2.4162756547063857\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-03","publicationStatus":"PW","scienceBaseUri":"5059e48be4b0c8380cd466ee","contributors":{"authors":[{"text":"Velpuri, N.M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":66495,"corporation":false,"usgs":true,"family":"Velpuri","given":"N.M.","affiliations":[],"preferred":false,"id":436730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":152206,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","email":"senay@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":436729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asante, K.O. 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":17051,"corporation":false,"usgs":true,"family":"Asante","given":"K.O.","affiliations":[],"preferred":false,"id":436728,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035334,"text":"70035334 - 2012 - Gender and occupational perspectives on adaptation to climate extremes in the Afram Plains of Ghana","interactions":[],"lastModifiedDate":"2013-01-14T14:29:13","indexId":"70035334","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Gender and occupational perspectives on adaptation to climate extremes in the Afram Plains of Ghana","docAbstract":"Although sub-Saharan Africa does not contribute significantly to greenhouse gas emissions, significant adverse impacts of climate change are anticipated in this region. Countries in West Africa, which are heavily dependent on rain-fed agriculture, are projected to experience more frequent and intense droughts, altered rainfall patterns and increases in temperature through the end of this century. Changes in hydrology and temperature are likely to affect crop yields, thereby placing pressure on scarce resources in a region that is characterised by limited social, political, technical and financial resources. The success with which communities cope with the impacts of climate change is influenced by existing conditions, forces and characteristics which are peculiar to each of these communities. This paper assesses the preferred adaptation strategies during floods and droughts of males and females in three different occupations (farming, fishing, and charcoal production). Findings are based upon an analysis of focus group discussions and a ranking of preferred adaptation options in three communities in the Afram Plains of Ghana. Assessments of this nature should aid in the selection and implementation of adaptation options for communities and households, which is the level at which climate change adaptation is likely to occur in West Africa.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10584-011-0237-z","issn":"01650009","usgsCitation":"Codjoe, S.N., Atidoh, L.K., and Burkett, V., 2012, Gender and occupational perspectives on adaptation to climate extremes in the Afram Plains of Ghana: Climatic Change, v. 110, no. 1-2, p. 431-454, https://doi.org/10.1007/s10584-011-0237-z.","productDescription":"24 p.","startPage":"431","endPage":"454","numberOfPages":"24","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":243043,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215253,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-011-0237-z"}],"scale":"550000","country":"Ghana","volume":"110","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2011-09-08","publicationStatus":"PW","scienceBaseUri":"505a14f3e4b0c8380cd54c34","contributors":{"authors":[{"text":"Codjoe, Samuel N.A.","contributorId":22982,"corporation":false,"usgs":true,"family":"Codjoe","given":"Samuel","email":"","middleInitial":"N.A.","affiliations":[],"preferred":false,"id":450248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atidoh, Lucy K.","contributorId":74587,"corporation":false,"usgs":true,"family":"Atidoh","given":"Lucy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":450249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkett, Virginia 0000-0003-4746-2862 virginia_burkett@usgs.gov","orcid":"https://orcid.org/0000-0003-4746-2862","contributorId":2867,"corporation":false,"usgs":true,"family":"Burkett","given":"Virginia","email":"virginia_burkett@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":450247,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032570,"text":"70032570 - 2012 - Hydrological effects of the increased CO2 and climate change in the Upper Mississippi River Basin using a modified SWAT","interactions":[],"lastModifiedDate":"2013-06-04T13:52:54","indexId":"70032570","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological effects of the increased CO2 and climate change in the Upper Mississippi River Basin using a modified SWAT","docAbstract":"Increased atmospheric CO2 concentration and climate change may significantly impact the hydrological and meteorological processes of a watershed system. Quantifying and understanding hydrological responses to elevated ambient CO2 and climate change is, therefore, critical for formulating adaptive strategies for an appropriate management of water resources. In this study, the Soil and Water Assessment Tool (SWAT) model was applied to assess the effects of increased CO2 concentration and climate change in the Upper Mississippi River Basin (UMRB). The standard SWAT model was modified to represent more mechanistic vegetation type specific responses of stomatal conductance reduction and leaf area increase to elevated CO2 based on physiological studies. For estimating the historical impacts of increased CO2 in the recent past decades, the incremental (i.e., dynamic) rises of CO2 concentration at a monthly time-scale were also introduced into the model. Our study results indicated that about 1–4% of the streamflow in the UMRB during 1986 through 2008 could be attributed to the elevated CO2 concentration. In addition to evaluating a range of future climate sensitivity scenarios, the climate projections by four General Circulation Models (GCMs) under different greenhouse gas emission scenarios were used to predict the hydrological effects in the late twenty-first century (2071–2100). Our simulations demonstrated that the water yield would increase in spring and substantially decrease in summer, while soil moisture would rise in spring and decline in summer. Such an uneven distribution of water with higher variability compared to the baseline level (1961–1990) may cause an increased risk of both flooding and drought events in the basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-011-0087-8","issn":"01650009","usgsCitation":"Wu, Y., Liu, S., and Abdul-Aziz, O., 2012, Hydrological effects of the increased CO2 and climate change in the Upper Mississippi River Basin using a modified SWAT: Climatic Change, v. 110, no. 3-4, p. 977-1003, https://doi.org/10.1007/s10584-011-0087-8.","productDescription":"27 p.","startPage":"977","endPage":"1003","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241687,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214003,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-011-0087-8"}],"country":"United States","otherGeospatial":"Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0577,28.9254 ], [ -104.0577,49.38 ], [ -80.5182,49.38 ], [ -80.5182,28.9254 ], [ -104.0577,28.9254 ] ] ] } } ] }","volume":"110","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2011-05-10","publicationStatus":"PW","scienceBaseUri":"505a36ace4b0c8380cd608e2","contributors":{"authors":[{"text":"Wu, Y.","contributorId":79312,"corporation":false,"usgs":true,"family":"Wu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":436861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":436863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abdul-Aziz, O. I.","contributorId":91700,"corporation":false,"usgs":true,"family":"Abdul-Aziz","given":"O. I.","affiliations":[],"preferred":false,"id":436862,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044362,"text":"70044362 - 2012 - Climate variability during the Medieval Climate Anomaly and Little Ice Age based on ostracod faunas and shell geochemistry from Biscayne Bay, Florida","interactions":[],"lastModifiedDate":"2022-12-27T16:33:49.06079","indexId":"70044362","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"subseriesTitle":"Developments in Quaternary Sciences","chapter":"14","title":"Climate variability during the Medieval Climate Anomaly and Little Ice Age based on ostracod faunas and shell geochemistry from Biscayne Bay, Florida","docAbstract":"An 800-year-long environmental history of Biscayne Bay, Florida, is reconstructed from ostracod faunal and shell geochemical (oxygen, carbon isotopes, Mg/Ca ratios) studies of sediment cores from three mudbanks in the central and southern parts of the bay. Using calibrations derived from analyses of modern Biscayne and Florida Bay ostracods, palaeosalinity oscillations associated with changes in precipitation were identified. These oscillations reflect multidecadal- and centennial-scale climate variability associated with the Atlantic Multidecadal Oscillation during the late Medieval Climate Anomaly (MCA) and the Little Ice Age (LIA). Evidence suggests wetter regional climate during the MCA and drier conditions during the LIA. In addition, twentieth century anthropogenic modifications to Everglades hydrology influenced bay circulation and/or processes controlling carbon isotopic composition.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ostracoda as proxies for quaternary climate change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-53636-5.00014-7","usgsCitation":"Cronin, T.M., Wingard, G.L., Dwyer, G., Swart, P.K., Willard, D.A., and Albietz, J., 2012, Climate variability during the Medieval Climate Anomaly and Little Ice Age based on ostracod faunas and shell geochemistry from Biscayne Bay, Florida, chap. 14 of Ostracoda as proxies for quaternary climate change, v. 17, p. 241-262, https://doi.org/10.1016/B978-0-444-53636-5.00014-7.","productDescription":"22 p.","startPage":"241","endPage":"262","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021778","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271305,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.16998291015625,\n 25.68856292610355\n ],\n [\n -80.1507568359375,\n 25.729395396693132\n ],\n [\n -80.19058227539062,\n 25.76526690492097\n ],\n [\n -80.23727416992188,\n 25.739292066931647\n ],\n [\n -80.25238037109375,\n 25.68732535984301\n ],\n [\n -80.28396606445312,\n 25.62914524992192\n ],\n [\n -80.30593872070311,\n 25.618001141542337\n ],\n [\n -80.30868530273438,\n 25.564742726875785\n ],\n [\n -80.321044921875,\n 25.541202389740473\n ],\n [\n -80.33340454101562,\n 25.533767638544543\n ],\n [\n -80.34439086914062,\n 25.485430526043555\n ],\n [\n -80.33477783203125,\n 25.433353427832156\n ],\n [\n -80.321044921875,\n 25.381253810395094\n ],\n [\n -80.34027099609375,\n 25.33657909726809\n ],\n [\n -80.31417846679686,\n 25.30554528239941\n ],\n [\n -80.28259277343749,\n 25.31920114076412\n ],\n [\n -80.25238037109375,\n 25.36760495535992\n ],\n [\n -80.21255493164061,\n 25.40854689267053\n ],\n [\n -80.1947021484375,\n 25.45443496795258\n ],\n [\n -80.18096923828124,\n 25.501545058832342\n ],\n [\n -80.15487670898438,\n 25.67866203603157\n ],\n [\n -80.16998291015625,\n 25.68856292610355\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b8e6e4b0e619a5806ed9","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":475373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingard, G. 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Using a recently developed analytical technique, we analyzed REEs from pore fluids collected from Sites U1325 and U1329, drilled on the northern Cascadia margin during the Integrated Ocean Drilling Program (IODP) Expedition 311, to investigate the REE behavior during diagenesis and their utility as tracers of deep fluid migration. These sites were selected because they represent contrasting settings on an accretionary margin: a ponded basin at the toe of the margin, and the landward Tofino Basin near the shelf's edge. REE concentrations of pore fluid in the methanogenic zone at Sites U1325 and U1329 correlate positively with concentrations of dissolved organic carbon (DOC) and alkalinity. Fractionations across the REE series are driven by preferential complexation of the heavy REEs. Simultaneous enrichment of diagenetic indicators (DOC and alkalinity) and of REEs (in particular the heavy elements Ho to Lu), suggests that the heavy REEs are released during particulate organic carbon (POC) degradation and are subsequently chelated by DOC. REE concentrations are greater at Site U1325, a site where shorter residence times of POC in sulfate-bearing redox zones may enhance REE burial efficiency within sulfidic and methanogenic sediment zones where REE release ensues. Cross-plots of La concentrations versus Cl, Li and Sr delineate a distinct field for the deep fluids (z > 75 mbsf) at Site U1329, and indicate the presence of a fluid not observed at the other sites drilled on the Cascadia margin. Changes in REE patterns, the presence of a positive Eu anomaly, and other available geochemical data for this site suggest a complex hydrology and possible interaction with the igneous Crescent Terrane, located east of the drilled transect.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.10.010","issn":"00092541","usgsCitation":"Kim, J., Torres, M.E., Haley, B.A., Kastner, M., Pohlman, J., Riedel, M., and Lee, Y., 2012, The effect of diagenesis and fluid migration on rare earth element distribution in pore fluids of the northern Cascadia accretionary margin: Chemical Geology, v. 291, p. 152-165, https://doi.org/10.1016/j.chemgeo.2011.10.010.","productDescription":"14 p.","startPage":"152","endPage":"165","numberOfPages":"14","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":214915,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.10.010"},{"id":242675,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;United States","city":"Vancouver","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01611111111111111,0.001388888888888889 ], [ -0.01611111111111111,0.001388888888888889 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01611111111111111,0.0011111111111111111 ] ] ] } } ] }","volume":"291","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bab1fe4b08c986b322c30","contributors":{"authors":[{"text":"Kim, Ji-Hoon","contributorId":105547,"corporation":false,"usgs":true,"family":"Kim","given":"Ji-Hoon","email":"","affiliations":[],"preferred":false,"id":435487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torres, Marta E.","contributorId":33546,"corporation":false,"usgs":true,"family":"Torres","given":"Marta","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haley, Brian A.","contributorId":43996,"corporation":false,"usgs":true,"family":"Haley","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":435484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kastner, Miriam","contributorId":24187,"corporation":false,"usgs":true,"family":"Kastner","given":"Miriam","email":"","affiliations":[],"preferred":false,"id":435482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pohlman, John W.","contributorId":95288,"corporation":false,"usgs":true,"family":"Pohlman","given":"John W.","affiliations":[],"preferred":false,"id":435486,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riedel, Michael","contributorId":7518,"corporation":false,"usgs":true,"family":"Riedel","given":"Michael","email":"","affiliations":[],"preferred":false,"id":435481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lee, Young-Joo","contributorId":82548,"corporation":false,"usgs":true,"family":"Lee","given":"Young-Joo","email":"","affiliations":[],"preferred":false,"id":435485,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70032624,"text":"70032624 - 2012 - Has the magnitude of floods across the USA changed with global CO 2 levels?","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032624","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Has the magnitude of floods across the USA changed with global CO 2 levels?","docAbstract":"Statistical relationships between annual floods at 200 long-term (85-127 years of record) streamgauges in the coterminous United States and the global mean carbon dioxide concentration (GMCO2) record are explored. The streamgauge locations are limited to those with little or no regulation or urban development. The coterminous US is divided into four large regions and stationary bootstrapping is used to evaluate if the patterns of these statistical associations are significantly different from what would be expected under the null hypothesis that flood magnitudes are independent of GMCO2. In none of the four regions defined in this study is there strong statistical evidence for flood magnitudes increasing with increasing GMCO2. One region, the southwest, showed a statistically significant negative relationship between GMCO2 and flood magnitudes. The statistical methods applied compensate both for the inter-site correlation of flood magnitudes and the shorter-term (up to a few decades) serial correlation of floods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Sciences Journal/Journal des Sciences Hydrologiques","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/02626667.2011.621895","issn":"02626667","usgsCitation":"Hirsch, R., and Ryberg, K., 2012, Has the magnitude of floods across the USA changed with global CO 2 levels?: Hydrological Sciences Journal, v. 57, no. 1, p. 1-9, https://doi.org/10.1080/02626667.2011.621895.","startPage":"1","endPage":"9","numberOfPages":"9","costCenters":[],"links":[{"id":213794,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02626667.2011.621895"},{"id":241453,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-10-24","publicationStatus":"PW","scienceBaseUri":"505a2f82e4b0c8380cd5ce4e","contributors":{"authors":[{"text":"Hirsch, R.M.","contributorId":58639,"corporation":false,"usgs":true,"family":"Hirsch","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":437103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryberg, K.R.","contributorId":89980,"corporation":false,"usgs":true,"family":"Ryberg","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":437104,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70032353,"text":"70032353 - 2012 - Spatial pattern formation of coastal vegetation in response to external gradients and positive feedbacks affecting soil porewater salinity: A model study","interactions":[],"lastModifiedDate":"2020-12-02T18:30:20.286568","indexId":"70032353","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial pattern formation of coastal vegetation in response to external gradients and positive feedbacks affecting soil porewater salinity: A model study","docAbstract":"Coastal vegetation of South Florida typically comprises salinity-tolerant mangroves bordering salinity-intolerant hardwood hammocks and fresh water marshes. Two primary ecological factors appear to influence the maintenance of mangrove/hammock ecotones against changes that might occur due to disturbances. One of these is a gradient in one or more environmental factors. The other is the action of positive feedback mechanisms, in which each vegetation community influences its local environment to favor itself, reinforcing the boundary between communities. The relative contributions of these two factors, however, can be hard to discern. A spatially explicit individual-based model of vegetation, coupled with a model of soil hydrology and salinity dynamics is presented here to simulate mangrove/hammock ecotones in the coastal margin habitats of South Florida. The model simulation results indicate that an environmental gradient of salinity, caused by tidal flux, is the key factor separating vegetation communities, while positive feedback involving the different interaction of each vegetation type with the vadose zone salinity increases the sharpness of boundaries, and maintains the ecological resilience of mangrove/hammock ecotones against small disturbances. Investigation of effects of precipitation on positive feedback indicates that the dry season, with its low precipitation, is the period of strongest positive feedback.
","language":"English","publisher":"Springer Link","doi":"10.1007/s10980-011-9689-9","issn":"09212973","usgsCitation":"Jiang, J., DeAngelis, D.L., Smith, T.J., Teh, S., and Koh, H.L., 2012, Spatial pattern formation of coastal vegetation in response to external gradients and positive feedbacks affecting soil porewater salinity: A model study: Landscape Ecology, v. 27, no. 1, p. 109-119, https://doi.org/10.1007/s10980-011-9689-9.","productDescription":"11 p.","startPage":"109","endPage":"119","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":241470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213811,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10980-011-9689-9"}],"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 -82.55126953124999,\n 24.986058021167594\n ],\n [\n -79.47509765625,\n 24.986058021167594\n ],\n [\n -79.47509765625,\n 26.96124577052697\n ],\n [\n -82.55126953124999,\n 26.96124577052697\n ],\n [\n -82.55126953124999,\n 24.986058021167594\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-12-02","publicationStatus":"PW","scienceBaseUri":"505b9491e4b08c986b31ab80","contributors":{"authors":[{"text":"Jiang, J.","contributorId":35439,"corporation":false,"usgs":true,"family":"Jiang","given":"J.","email":"","affiliations":[],"preferred":false,"id":435742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":435741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, T. J. III","contributorId":24303,"corporation":false,"usgs":true,"family":"Smith","given":"T.","suffix":"III","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":435740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teh, S.Y.","contributorId":22969,"corporation":false,"usgs":true,"family":"Teh","given":"S.Y.","email":"","affiliations":[],"preferred":false,"id":435739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koh, H. L.","contributorId":44362,"corporation":false,"usgs":true,"family":"Koh","given":"H.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":435743,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042048,"text":"ofr20121218 - 2012 - Preliminary physical stratigraphy, biostratigraphy, and geophysical data of the USGS South Dover Bridge Core, Talbot County, Maryland","interactions":[],"lastModifiedDate":"2013-01-14T13:03:01","indexId":"ofr20121218","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1218","title":"Preliminary physical stratigraphy, biostratigraphy, and geophysical data of the USGS South Dover Bridge Core, Talbot County, Maryland","docAbstract":"The South Dover Bridge (SDB) corehole was drilled in October 2007 in Talbot County, Maryland. The main purpose for drilling this corehole was to characterize the Upper Cretaceous and Paleogene lithostratigraphy and biostratigraphy of the aquifers and confining units of this region. The data obtained from this core also will be used as a guide to geologic mapping and to help interpret well data from the eastern part of the Washington East 1:100,000-scale map near the town of Easton, Md. Core drilling was conducted to a depth of 700 feet (ft). The Cretaceous section was not penetrated due to technical problems during drilling. This project was funded by the U.S. Geological Survey’s (USGS) Eastern Geology and Paleoclimate Science Center (EGPSC) as part of the Geology of the Atlantic Watersheds Project; this project was carried out in cooperation with the Maryland Geological Survey (MGS) through partnerships with the Aquifer Characterization Program of the USGS’s Maryland-Delaware-District of Columbia Water Science Center and the National Cooperative Geologic Mapping Program.\n\nThe SDB corehole was drilled by the USGS drilling crew in the northeastern corner of the Trappe 7.5-minute quadrangle, near the type locality of the Boston Cliffs member of the Choptank Formation. Geophysical logs (gamma ray, single point resistance, and 16-inch and 64-inch normal resistivity) were run to a depth of 527.5 ft; the total depth of 700.0 ft could not be reached because of the collapse of the lower part of the hole. Of the 700.0 ft drilled, 531.8 ft of core were recovered, representing a 76 percent core recovery. The elevation of the top of the corehole is approximately 12 ft above mean sea level; its coordinates are lat 38°44′49.34″N. and long 76°00′25.09″W. (38.74704N., 76.00697W. in decimal degrees).\n\nA groundwater monitoring well was not installed at this site. The South Dover Bridge corehole was the first corehole that will be used to better understand the geology and hydrology of the Maryland Eastern Shore.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121218","usgsCitation":"Aleman Gonzalez, W.B., Powars, D.S., Seefelt, E., Edwards, L.E., Self-Trail, J.M., Durand, C.T., Schultz, A.P., and McLaughlin, P., 2012, Preliminary physical stratigraphy, biostratigraphy, and geophysical data of the USGS South Dover Bridge Core, Talbot County, Maryland: U.S. Geological Survey Open-File Report 2012-1218, Report: vi, 16 p.; Download Report, https://doi.org/10.3133/ofr20121218.","productDescription":"Report: vi, 16 p.; Download Report","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":240,"text":"Eastern Earth Surface Processes Team","active":false,"usgs":true}],"links":[{"id":264687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1218.jpg"},{"id":264685,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1218/ofr2012-1218_MainBody.pdf"},{"id":264686,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1218/ofr2012-1218.zip"},{"id":264684,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1218/"}],"country":"United States","state":"Maryl","county":"Talbot County","otherGeospatial":"South Dover Bridge Corehole","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.45,38.58 ], [ -76.45,38.94 ], [ -75.89,38.94 ], [ -75.89,38.58 ], [ -76.45,38.58 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d49676e4b0c6073c901f55","contributors":{"authors":[{"text":"Aleman Gonzalez, Wilma B.","contributorId":98123,"corporation":false,"usgs":true,"family":"Aleman Gonzalez","given":"Wilma","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":470679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":470672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seefelt, Ellen 0000-0001-6822-7402 eseefelt@usgs.gov","orcid":"https://orcid.org/0000-0001-6822-7402","contributorId":2953,"corporation":false,"usgs":true,"family":"Seefelt","given":"Ellen","email":"eseefelt@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":470675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":470674,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Self-Trail, Jean M. jstrail@usgs.gov","contributorId":2205,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","middleInitial":"M.","affiliations":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"preferred":false,"id":470673,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durand, Colleen T.","contributorId":80495,"corporation":false,"usgs":true,"family":"Durand","given":"Colleen","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":470678,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schultz, Arthur P. aschultz@usgs.gov","contributorId":3252,"corporation":false,"usgs":true,"family":"Schultz","given":"Arthur","email":"aschultz@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":470676,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McLaughlin, Peter P.","contributorId":40023,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Peter P.","affiliations":[],"preferred":false,"id":470677,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70032476,"text":"70032476 - 2012 - Water utilization of the Cretaceous Mussentuchit Member local vertebrate fauna, Cedar Mountain Formation, Utah, USA: Using oxygen isotopic composition of phosphate","interactions":[],"lastModifiedDate":"2020-12-01T17:18:14.687551","indexId":"70032476","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","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":"Water utilization of the Cretaceous Mussentuchit Member local vertebrate fauna, Cedar Mountain Formation, Utah, USA: Using oxygen isotopic composition of phosphate","docAbstract":"While the oxygen isotopic composition of pedogenic carbonate has successfully been used to address the effects of global climate change on the hydrologic cycle, detailed regional paleohydrologic studies are lacking. Since the hydrologic cycle can vary extensively on local or regional scales due to events such as such as mountain building, and since pedogenic carbonates (calcite) form in a narrow moisture regime, other proxies, such as vertebrate remains, must be used to decipher local versus regional variations in paleohydrology. In this study, the oxygen isotopic composition (δ18Op) of phosphatic remains from a diverse set of vertebrate fossils (fish, turtles, crocodiles, dinosaurs, and micro-mammals) from the Mussentuchit Member (MM) of the Cedar Mountain Formation, Utah, USA (Aptian to Cenomanian) are analyzed in order to determine differences among the available water reservoirs and water utilization of each taxon. Calculated changes in water reservoir δ18Ow over time are then used to determine the effects of the incursion of the Western Interior Seaway (WIS) and the Sevier Mountains on paleohydrology during the MM time.
Calculation of δ18Ow from the results of isotopic analysis of phosphate oxygen suggests that turtles and crocodiles serve as another proxy for meteoric water δ18O that can be used as a measure of average local precipitation δ18Ow similar to pedogenic calcite. Pedogenic calcites can be slightly biased toward higher values, however, due to their formation during evaporative conditions. Turtles and crocodiles can be used in place of pedogenic calcite in environments that are not conducive to pedogenic carbonate formation. Remains of fish with rounded tooth morphology have δ18Op values that predict temperatures consistent with other estimates of mean annual temperature for this latitude and time. The δ18Op of ganoid scales and teeth with pointed morphology, however, indicates that these skeletal materials were precipitated from water that is 18O-enriched due to migration to either evaporatively enriched water, or 18O-enriched estuarine waters of the Western Interior Seaway (WIS). Another possibility that cannot be discounted and assuming all morphological remains are from the same taxon, is that the pointed teeth and ganoid scales precipitated at different temperatures than rounded teeth. Mammal and herbivorous dinosaur δ18Op suggests they primarily drank isotopically depleted river water. Co-existence of crocodiles, turtles, and mammals allows for calculation of relative humidity from site to site and these calculations suggest humidity averaged ~ 58% and ranged between ~ 42% and ~ 76%.
The δ18Ow values estimated from semi-aquatic taxa and pedogenic calcite suggest dominance of WIS-derived moisture during their growth. Herbivorous dinosaurs particularly indicate that altitude and catchment effects from the Sevier Mountains are seemingly important for river water δ18Ow in the fall through early spring. These data suggest that temporal changes in the isotopic composition of the MM fauna are produced by the small-scale regressive–transgressive cycles of the WIS.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2011.10.011","issn":"00310182","usgsCitation":"Suarez, C., Gonzalez, L.A., Ludvigson, G., Cifelli, R., and Tremain, E., 2012, Water utilization of the Cretaceous Mussentuchit Member local vertebrate fauna, Cedar Mountain Formation, Utah, USA: Using oxygen isotopic composition of phosphate: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 313-314, p. 78-92, https://doi.org/10.1016/j.palaeo.2011.10.011.","productDescription":"15 p.","startPage":"78","endPage":"92","costCenters":[],"links":[{"id":241311,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213662,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2011.10.011"}],"country":"United States","state":"Utah","otherGeospatial":"Cedar Mountain Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.4512939453125,\n 40.250184183819854\n ],\n [\n -109.0777587890625,\n 40.250184183819854\n ],\n [\n -109.0777587890625,\n 40.79301881008675\n ],\n [\n -109.4512939453125,\n 40.79301881008675\n ],\n [\n -109.4512939453125,\n 40.250184183819854\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"313-314","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bccc4e4b08c986b32dcfb","contributors":{"authors":[{"text":"Suarez, C.A.","contributorId":80089,"corporation":false,"usgs":true,"family":"Suarez","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":436383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Luis A.","contributorId":20922,"corporation":false,"usgs":true,"family":"Gonzalez","given":"Luis","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":436380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludvigson, G.A.","contributorId":90528,"corporation":false,"usgs":true,"family":"Ludvigson","given":"G.A.","affiliations":[],"preferred":false,"id":436384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cifelli, R.L.","contributorId":52798,"corporation":false,"usgs":true,"family":"Cifelli","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":436381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tremain, E.","contributorId":73416,"corporation":false,"usgs":true,"family":"Tremain","given":"E.","email":"","affiliations":[],"preferred":false,"id":436382,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193081,"text":"70193081 - 2012 - Impact of wildfire and slope aspect on soil temperature in a mountainous environment","interactions":[],"lastModifiedDate":"2017-11-06T13:57:36","indexId":"70193081","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Impact of wildfire and slope aspect on soil temperature in a mountainous environment","docAbstract":"Soil temperature changes after landscape disturbance impact hydrology, ecology, and geomorphology. This study used field measurements to examine wildfire and aspect effects on soil temperatures. Combustion of the litter and duff layers on north-facing slopes removed pre-fire aspect-driven soil temperature controls.
Wildfire is one of the most significant disturbances in mountainous landscapes and can affect soil temperature, which can in turn impact ecologic and geomorphologic processes. This study measured the temperature in near-surface soil (i.e., top 30 cm) during the first summer after a wildfire. In mountainous environments, aspect can also affect soil temperature, so north- vs. south-facing aspects were compared using a fully factorial experimental design to explore the effects of both wildfire and aspect on soil temperature. The data showed major wildfire impacts on soil temperatures on north-facing aspects (unburned ∼4–5°C cooler, on average) but little impact on south-facing aspects. Differences in soil temperatures between north-facing and south-facing unburned aspects (north ∼5°C cooler, on average) were also observed. The data led to the conclusion that, for this field site during the summer period, the forest canopy and litter and duff layers on north-facing slopes (when unburned) substantially decreased mean soil temperatures and temperature variability. The sparse trees on south-facing slopes caused little to no difference in soil temperatures following wildfire in south-facing soils for unburned compared with burned conditions. The results indicate that wildfire can reduce or even remove aspect impacts on soil temperature by combusting the forest canopy and litter and duff layers, which then homogenizes soil temperatures across the landscape.
","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2012.0017","usgsCitation":"Ebel, B.A., 2012, Impact of wildfire and slope aspect on soil temperature in a mountainous environment: Vadose Zone Journal, v. 11, no. 3, https://doi.org/10.2136/vzj2012.0017.","ipdsId":"IP-091909","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":348285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-07","publicationStatus":"PW","scienceBaseUri":"5a07f145e4b09af898c8cdb3","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":717895,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044189,"text":"70044189 - 2012 - Duststones on Mars: Source, transport, deposition and erosion","interactions":[],"lastModifiedDate":"2021-01-06T13:17:28.737796","indexId":"70044189","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3842,"text":"SEPM Special Publication","active":true,"publicationSubtype":{"id":10}},"title":"Duststones on Mars: Source, transport, deposition and erosion","docAbstract":"Dust is an abundant material on Mars, and there is strong evidence that it is a contributor to the rock record as “duststone,” analogous in many ways to loess on Earth. Although a common suite of dust formation mechanisms has operated on the two planets, fundamental differences in environments and geologic histories have resulted in vastly different weighting functions, causing distinct depositional styles and erosional mechanisms. On Earth, dust is derived predominantly from glacial grinding and, in nonglacial environments, by other processes, such as volcanism, eolian abrasion, and fluvial comminution. Hydrological and biological processes convert dust accumulations to loess deposits. Active hydrology also acts to clean dust from the atmosphere and convert loess into soil or erode it entirely. On Mars, glacial production of dust has been minor, with most fine particles probably produced from ancient volcanic, impact, and fluvial processes. Dust is deposited under arid conditions in which aggregate growth and cementation are the stabilizing agents. Thick accumulations result in duststone.
","language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/pec.12.102.0169","usgsCitation":"Bridges, N.T., and Muhs, D., 2012, Duststones on Mars: Source, transport, deposition and erosion: SEPM Special Publication, v. 120, p. 169-182, https://doi.org/10.2110/pec.12.102.0169.","productDescription":"14 p.","startPage":"169","endPage":"182","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028977","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":474755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2110/pec.12.102.0169","text":"Publisher Index Page"},{"id":381886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"120","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51838ae8e4b0a21483941aa4","contributors":{"authors":[{"text":"Bridges, Nathan T.","contributorId":45005,"corporation":false,"usgs":true,"family":"Bridges","given":"Nathan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":475052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":475051,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189082,"text":"70189082 - 2012 - Climate-change-driven deterioration of water quality in a mineralized watershed","interactions":[],"lastModifiedDate":"2018-02-21T17:41:14","indexId":"70189082","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Climate-change-driven deterioration of water quality in a mineralized watershed","docAbstract":"A unique 30-year streamwater chemistry data set from a mineralized alpine watershed with naturally acidic, metal-rich water displays dissolved concentrations of Zn and other metals of ecological concern increasing by 100–400% (400–2000 μg/L) during low-flow months, when metal concentrations are highest. SO4 and other major ions show similar increases. A lack of natural or anthropogenic land disturbances in the watershed during the study period suggests that climate change is the underlying cause. Local mean annual and mean summer air temperatures have increased at a rate of 0.2–1.2 °C/decade since the 1980s. Other climatic and hydrologic indices, including stream discharge during low-flow months, do not display statistically significant trends. Consideration of potential specific causal mechanisms driven by rising temperatures suggests that melting of permafrost and falling water tables (from decreased recharge) are probable explanations for the increasing concentrations. The prospect of future widespread increases in dissolved solutes from mineralized watersheds is concerning given likely negative impacts on downstream ecosystems and water resources, and complications created for the establishment of attainable remediation objectives at mine sites.
","language":"English","publisher":"ACU Publications","doi":"10.1021/es3020056","usgsCitation":"Todd, A., Manning, A.H., Verplanck, P.L., Crouch, C., McKnight, D.M., and Dunham, R., 2012, Climate-change-driven deterioration of water quality in a mineralized watershed: Environmental Science & Technology, v. 46, no. 17, p. 9324-9332, https://doi.org/10.1021/es3020056.","productDescription":"9 p.","startPage":"9324","endPage":"9332","ipdsId":"IP-039673","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-08-17","publicationStatus":"PW","scienceBaseUri":"595611c7e4b0d1f9f05067e0","contributors":{"authors":[{"text":"Todd, Andrew atodd@usgs.gov","contributorId":149790,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew","email":"atodd@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crouch, Caitlin","contributorId":194025,"corporation":false,"usgs":false,"family":"Crouch","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":702943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":702944,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunham, Ryan","contributorId":194026,"corporation":false,"usgs":false,"family":"Dunham","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":702945,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}