{"pageNumber":"814","pageRowStart":"20325","pageSize":"25","recordCount":40764,"records":[{"id":70033886,"text":"70033886 - 2010 - An evaluation of object-oriented image analysis techniques to identify motorized vehicle effects in semi-arid to arid ecosystems of the American West","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033886","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of object-oriented image analysis techniques to identify motorized vehicle effects in semi-arid to arid ecosystems of the American West","docAbstract":"Human disturbance is a leading ecosystem stressor. Human-induced modifications include transportation networks, areal disturbances due to resource extraction, and recreation activities. High-resolution imagery and object-oriented classification rather than pixel-based techniques have successfully identified roads, buildings, and other anthropogenic features. Three commercial, automated feature-extraction software packages (Visual Learning Systems' Feature Analyst, ENVI Feature Extraction, and Definiens Developer) were evaluated by comparing their ability to effectively detect the disturbed surface patterns from motorized vehicle traffic. Each package achieved overall accuracies in the 70% range, demonstrating the potential to map the surface patterns. The Definiens classification was more consistent and statistically valid. Copyright ?? 2010 by Bellwether Publishing, Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GIScience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2747/1548-1603.47.1.53","issn":"15481603","usgsCitation":"Mladinich, C., 2010, An evaluation of object-oriented image analysis techniques to identify motorized vehicle effects in semi-arid to arid ecosystems of the American West: GIScience and Remote Sensing, v. 47, no. 1, p. 53-77, https://doi.org/10.2747/1548-1603.47.1.53.","startPage":"53","endPage":"77","numberOfPages":"25","costCenters":[],"links":[{"id":214152,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/1548-1603.47.1.53"},{"id":241846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"5059ea4de4b0c8380cd48782","contributors":{"authors":[{"text":"Mladinich, C.","contributorId":9449,"corporation":false,"usgs":true,"family":"Mladinich","given":"C.","email":"","affiliations":[],"preferred":false,"id":443022,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70033867,"text":"70033867 - 2010 - Headwater streams and forest management: does ecoregional context influence logging effects on benthic communities?","interactions":[],"lastModifiedDate":"2016-06-14T16:07:00","indexId":"70033867","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Headwater streams and forest management: does ecoregional context influence logging effects on benthic communities?","docAbstract":"<p>Effects of forest management on stream communities have been widely documented, but the role that climate plays in the disturbance outcomes is not understood. In order to determine whether the effect of disturbance from forest management on headwater stream communities varies by climate, we evaluated benthic macroinvertebrate communities in 24 headwater streams that differed in forest management (logged-roaded vs. unlogged-unroaded, hereafter logged and unlogged) within two ecological sub-regions (wet versus dry) within the eastern Cascade Range, Washington, USA. In both ecoregions, total macroinvertebrate density was highest at logged sites (P = 0.001) with gathering-collectors and shredders dominating. Total taxonomic richness and diversity did not differ between ecoregions or forest management types. Shredder densities were positively correlated with total deciduous and Sitka alder (Alnus sinuata) riparian cover. Further, differences in shredder density between logged and unlogged sites were greater in the wet ecoregion (logging &times; ecoregion interaction; P = 0.006) suggesting that differences in post-logging forest succession between ecoregions were responsible for differences in shredder abundance. Headwater stream benthic community structure was influenced by logging and regional differences in climate. Future development of ecoregional classification models at the subbasin scale, and use of functional metrics in addition to structural metrics, may allow for more accurate assessments of anthropogenic disturbances in mountainous regions where mosaics of localized differences in climate are common.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-009-0058-5","issn":"00188158","usgsCitation":"Medhurst, R.B., Wipfli, M.S., Binckley, C., Polivka, K., Hessburg, P.F., and Salter, R.B., 2010, Headwater streams and forest management: does ecoregional context influence logging effects on benthic communities?: Hydrobiologia, v. 641, no. 1, p. 71-83, https://doi.org/10.1007/s10750-009-0058-5.","productDescription":"13 p.","startPage":"71","endPage":"83","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":242073,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214353,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-009-0058-5"}],"country":"United States","state":"Washington","otherGeospatial":"Cascade Range, Wenatchee River subbasin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.94711303710938,\n              48.17432829641993\n            ],\n            [\n              -120.9814453125,\n              48.09459164290992\n            ],\n            [\n              -121.14898681640626,\n              48.039528693690556\n            ],\n            [\n              -121.13113403320311,\n              48.011056420797836\n            ],\n            [\n              -121.17095947265625,\n              47.951305426762616\n            ],\n            [\n              -121.17645263671874,\n              47.892406101169264\n            ],\n            [\n              -121.13800048828125,\n              47.81684332352077\n            ],\n            [\n              -121.15447998046875,\n              47.7263921299974\n            ],\n            [\n              -121.15310668945312,\n              47.64596177800046\n            ],\n            [\n              -121.06658935546874,\n              47.54223662718361\n            ],\n            [\n              -120.98419189453125,\n              47.45687999525879\n            ],\n            [\n              -120.8221435546875,\n              47.40764414848437\n            ],\n            [\n              -120.70816040039061,\n              47.404855836246135\n            ],\n            [\n              -120.59829711914061,\n              47.34533667855891\n            ],\n            [\n              -120.44036865234375,\n              47.2708432505609\n            ],\n            [\n              -120.355224609375,\n              47.3425450696602\n            ],\n            [\n              -120.34149169921875,\n              47.39277144427804\n            ],\n            [\n              -120.42526245117186,\n              47.4745193657043\n            ],\n            [\n              -120.34149169921875,\n              47.519983057945794\n            ],\n            [\n              -120.3277587890625,\n              47.611718174784954\n            ],\n            [\n              -120.58181762695311,\n              47.85003078545827\n            ],\n            [\n              -120.71502685546875,\n              48.038610478762806\n            ],\n            [\n              -120.84686279296874,\n              48.19996433122713\n            ],\n            [\n              -120.94711303710938,\n              48.17432829641993\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"641","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-07","publicationStatus":"PW","scienceBaseUri":"505a2fd4e4b0c8380cd5d114","contributors":{"authors":[{"text":"Medhurst, R. Bruce","contributorId":58480,"corporation":false,"usgs":false,"family":"Medhurst","given":"R.","email":"","middleInitial":"Bruce","affiliations":[],"preferred":false,"id":442907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":442906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Binckley, Chris","contributorId":60458,"corporation":false,"usgs":true,"family":"Binckley","given":"Chris","affiliations":[],"preferred":false,"id":442908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Polivka, Karl","contributorId":80093,"corporation":false,"usgs":false,"family":"Polivka","given":"Karl","email":"","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":442909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hessburg, Paul F.","contributorId":46481,"corporation":false,"usgs":false,"family":"Hessburg","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":442905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Salter, R. Brion","contributorId":97718,"corporation":false,"usgs":false,"family":"Salter","given":"R.","email":"","middleInitial":"Brion","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":442910,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70173695,"text":"70173695 - 2010 - Design and analysis of simple choice surveys for natural resource management","interactions":[],"lastModifiedDate":"2016-06-07T14:10:39","indexId":"70173695","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Design and analysis of simple choice surveys for natural resource management","docAbstract":"<p><span>We used a simple yet powerful method for judging public support for management actions from randomized surveys. We asked respondents to rank choices (representing management regulations under consideration) according to their preference, and we then used discrete choice models to estimate probability of choosing among options (conditional on the set of options presented to respondents). Because choices may share similar unmodeled characteristics, the multinomial logit model, commonly applied to discrete choice data, may not be appropriate. We introduced the nested logit model, which offers a simple approach for incorporating correlation among choices. This forced choice survey approach provides a useful method of gathering public input; it is relatively easy to apply in practice, and the data are likely to be more informative than asking constituents to rate attractiveness of each option separately.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.2193/2009-030","usgsCitation":"Fieberg, J., Cornicelli, L., Fulton, D.C., and Grund, M.D., 2010, Design and analysis of simple choice surveys for natural resource management: Journal of Wildlife Management, v. 74, no. 7, p. 871-879, https://doi.org/10.2193/2009-030.","productDescription":"9 p.","startPage":"871","endPage":"879","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011299","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"5757f032e4b04f417c24da44","contributors":{"authors":[{"text":"Fieberg, John","contributorId":44804,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","affiliations":[{"id":7201,"text":"University of Minnesota-St. Paul","active":true,"usgs":false}],"preferred":false,"id":637548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornicelli, Louis","contributorId":168400,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":637549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grund, Marrett D.","contributorId":171467,"corporation":false,"usgs":false,"family":"Grund","given":"Marrett","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":637550,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176785,"text":"70176785 - 2010 - Climatic water deficit, tree species ranges, and climate change in Yosemite National Park","interactions":[],"lastModifiedDate":"2017-04-27T10:33:30","indexId":"70176785","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Climatic water deficit, tree species ranges, and climate change in Yosemite National Park","docAbstract":"<p><strong>Aim </strong> (1) To calculate annual potential evapotranspiration (PET), actual evapotranspiration (AET) and climatic water deficit (Deficit) with high spatial resolution; (2) to describe distributions for 17 tree species over a 2300-m elevation gradient in a 3000-km<sup>2</sup> landscape relative to AET and Deficit; (3) to examine changes in AET and Deficit between past (<i>c.</i> 1700), present (1971–2000) and future (2020–49) climatological means derived from proxies, observations and projections; and (4) to infer how the magnitude of changing Deficit may contribute to changes in forest structure and composition.</p><p><strong>Location </strong> Yosemite National Park, California, USA.</p><p><strong>Methods </strong> We calculated the water balance within Yosemite National Park using a modified Thornthwaite-type method and correlated AET and Deficit with tree species distribution. We used input data sets with different spatial resolutions parameterized for variation in latitude, precipitation, temperature, soil water-holding capacity, slope and aspect. We used climate proxies and climate projections to model AET and Deficit for past and future climate. We compared the modelled future water balance in Yosemite with current species water-balance ranges in North America.</p><p><strong>Results </strong> We calculated species climatic envelopes over broad ranges of environmental gradients – a range of 310&nbsp;mm for soil water-holding capacity, 48.3°C for mean monthly temperature (January minima to July maxima), and 918&nbsp;mm&nbsp;yr<sup>−1</sup> for annual precipitation. Tree species means were differentiated by AET and Deficit, and at higher levels of Deficit, species means were increasingly differentiated. Modelled Deficit for all species increased by a mean of 5% between past (<i>c.</i> 1700) and present (1971–2000). Projected increases in Deficit between present and future (2020–49) were 23% across all plots.</p><p><strong>Main conclusions </strong> Modelled changes in Deficit between past, present and future climate scenarios suggest that recent past changes in forest structure and composition may accelerate in the future, with species responding individualistically to further declines in water availability. Declining water availability may disproportionately affect <i>Pinus monticola</i> and <i>Tsuga mertensiana</i>. Fine-scale heterogeneity in soil water-holding capacity, aspect and slope implies that plant water balance may vary considerably within the grid cells of kilometre-scale climate models. Sub-grid-cell soil and topographical data can partially compensate for the lack of spatial heterogeneity in gridded climate data, potentially improving vegetation-change projections in mountainous landscapes with heterogeneous topography.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2699.2009.02268.x","usgsCitation":"Lutz, J.A., Van Wagtendonk, J.W., and Franklin, J., 2010, Climatic water deficit, tree species ranges, and climate change in Yosemite National Park: Journal of Biogeography, v. 37, no. 5, p. 936-350, https://doi.org/10.1111/j.1365-2699.2009.02268.x.","productDescription":"15 p.","startPage":"936","endPage":"350","ipdsId":"IP-009660","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":329346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-04-19","publicationStatus":"PW","scienceBaseUri":"57fe8151e4b0824b2d1480ba","contributors":{"authors":[{"text":"Lutz, James A.","contributorId":61350,"corporation":false,"usgs":true,"family":"Lutz","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":650288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Wagtendonk, Jan W. jan_van_wagtendonk@usgs.gov","contributorId":2648,"corporation":false,"usgs":true,"family":"Van Wagtendonk","given":"Jan","email":"jan_van_wagtendonk@usgs.gov","middleInitial":"W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":650289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franklin, Jerry F.","contributorId":101939,"corporation":false,"usgs":true,"family":"Franklin","given":"Jerry F.","affiliations":[],"preferred":false,"id":650290,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035324,"text":"70035324 - 2010 - Influence of organic carbon loading, sediment associated metal oxide content and sediment grain size distributions upon Cryptosporidium parvum removal during riverbank filtration operations, Sonoma County, CA","interactions":[],"lastModifiedDate":"2018-10-09T11:17:39","indexId":"70035324","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influence of organic carbon loading, sediment associated metal oxide content and sediment grain size distributions upon <i>Cryptosporidium parvum</i> removal during riverbank filtration operations, Sonoma County, CA","title":"Influence of organic carbon loading, sediment associated metal oxide content and sediment grain size distributions upon Cryptosporidium parvum removal during riverbank filtration operations, Sonoma County, CA","docAbstract":"<p><span>This study assessed the efficacy for removing&nbsp;</span><i>Cryptosporidium parvum</i><span><span>&nbsp;</span>oocysts of poorly sorted, Fe- and Al-rich, subsurface sediments collected from 0.9 to 4.9 and 1.7–13.9&nbsp;m below land surface at an operating riverbank filtration (RBF) site (Russian River, Sonoma County, CA). Both formaldehyde-killed oocysts and oocyst-sized (3&nbsp;μm) microspheres were employed in sediment-packed flow-through and static columns. The degree of surface coverage of metal oxides on sediment grain surfaces correlated strongly with the degrees of oocyst and microsphere removals. In contrast, average grain size (</span><i>D</i><sub>50</sub><span>) was not a good indicator of either microsphere or oocyst removal, suggesting that the primary mechanism of immobilization within these sediments is sorptive filtration rather than physical straining. A low specific UV absorbance (SUVA) for organic matter isolated from the Russian River, suggested that the modest concentration of the SUVA component (0.8&nbsp;mg&nbsp;L</span><sup>−1</sup><span>) of the 2.2&nbsp;mg&nbsp;L</span><sup>−1</sup><span>dissolved organic carbon (DOC) is relatively unreactive. Nevertheless, an amendment of 2.2&nbsp;mg&nbsp;L</span><sup>−1</sup><span><span>&nbsp;</span>of isolated river DOC to column sediments resulted in up to a 35.7% decrease in sorption of oocysts and (or) oocyst-sized microspheres. Amendments (3.2&nbsp;μM) of the anionic surfactant, sodium dodecyl benzene sulfonate (SDBS) also caused substantive decreases (up to 31.9 times) in colloid filtration. Although the grain-surface metal oxides were found to have a high colloid-removal capacity, our study suggested that any major changes within the watershed that would result in long-term alterations in either the quantity and (or) the character of the river's DOC could alter the effectiveness of pathogen removal during RBF operations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2009.11.033","issn":"00431354","usgsCitation":"Metge, D., Harvey, R., Aiken, G., Anders, R., Lincoln, G., and Jasperse, J., 2010, Influence of organic carbon loading, sediment associated metal oxide content and sediment grain size distributions upon Cryptosporidium parvum removal during riverbank filtration operations, Sonoma County, CA: Water Research, v. 44, no. 4, p. 1126-1137, https://doi.org/10.1016/j.watres.2009.11.033.","productDescription":"12 p.","startPage":"1126","endPage":"1137","ipdsId":"IP-014171","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":215100,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2009.11.033"},{"id":242874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3b61e4b0c8380cd6249e","contributors":{"authors":[{"text":"Metge, D.W.","contributorId":51477,"corporation":false,"usgs":true,"family":"Metge","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":450186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, R.W. 0000-0002-2791-8503","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":11757,"corporation":false,"usgs":true,"family":"Harvey","given":"R.W.","affiliations":[],"preferred":false,"id":450184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, G. R. 0000-0001-8454-0984","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":14452,"corporation":false,"usgs":true,"family":"Aiken","given":"G. R.","affiliations":[],"preferred":false,"id":450185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anders, R.","contributorId":74174,"corporation":false,"usgs":true,"family":"Anders","given":"R.","email":"","affiliations":[],"preferred":false,"id":450188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lincoln, G.","contributorId":106336,"corporation":false,"usgs":true,"family":"Lincoln","given":"G.","email":"","affiliations":[],"preferred":false,"id":450189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jasperse, James","contributorId":64857,"corporation":false,"usgs":false,"family":"Jasperse","given":"James","email":"","affiliations":[],"preferred":false,"id":450187,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034068,"text":"70034068 - 2010 - Eolian transport of geogenic hexavalent chromium to ground water","interactions":[],"lastModifiedDate":"2013-05-12T00:16:20","indexId":"70034068","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Eolian transport of geogenic hexavalent chromium to ground water","docAbstract":"A conceptual model of eolian transport is proposed to address the widely distributed, high concentrations of hexavalent chromium (Cr<sup>+6</sup>) observed in ground water in the Emirate of Abu Dhabi, United Arab Emirates. Concentrations (30 to more than 1000 μg/L Cr<sup>+6</sup>) extend over thousands of square kilometers of ground water systems. It is hypothesized that the Cr is derived from weathering of chromium-rich pyroxenes and olivines present in ophiolite sequence of the adjacent Oman (Hajar) Mountains. Cr<sup>+3</sup> in the minerals is oxidized to Cr<sup>+6</sup> by reduction of manganese and is subsequently sorbed on iron and manganese oxide coatings of particles. When the surfaces of these particles are abraded in this arid environment, they release fine, micrometer-sized, coated particles that are easily transported over large distances by wind and subsequently deposited on the surface. During ground water recharge events, the readily soluble Cr<sup>+6</sup> is mobilized by rain water and transported by advective flow into the underlying aquifer. Chromium analyses of ground water, rain, dust, and surface (soil) deposits are consistent with this model, as are electron probe analyses of clasts derived from the eroding Oman ophiolite sequence. Ground water recharge flux is proposed to exercise some control over Cr<sup>+6</sup> concentration in the aquifer.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2009.00592.x","issn":"0017467X","usgsCitation":"Wood, W., Clark, D., Imes, J., and Councell, T., 2010, Eolian transport of geogenic hexavalent chromium to ground water: Ground Water, v. 48, no. 1, p. 19-29, https://doi.org/10.1111/j.1745-6584.2009.00592.x.","productDescription":"11 p.","startPage":"19","endPage":"29","costCenters":[{"id":326,"text":"Ground-Water Research Program for the Emirate of Abu DhabiUnited Arab Emirates","active":false,"usgs":true}],"links":[{"id":475942,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1745-6584.2009.00592.x","text":"Publisher Index Page"},{"id":216867,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2009.00592.x"},{"id":244765,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-23","publicationStatus":"PW","scienceBaseUri":"505a0a03e4b0c8380cd52162","contributors":{"authors":[{"text":"Wood, W.W.","contributorId":21974,"corporation":false,"usgs":true,"family":"Wood","given":"W.W.","email":"","affiliations":[],"preferred":false,"id":443912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, D.","contributorId":94133,"corporation":false,"usgs":true,"family":"Clark","given":"D.","affiliations":[],"preferred":false,"id":443915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imes, J. L.","contributorId":61428,"corporation":false,"usgs":true,"family":"Imes","given":"J. L.","affiliations":[],"preferred":false,"id":443914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Councell, T.B.","contributorId":44187,"corporation":false,"usgs":true,"family":"Councell","given":"T.B.","email":"","affiliations":[],"preferred":false,"id":443913,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037561,"text":"70037561 - 2010 - Predicting coastal cliff erosion using a Bayesian probabilistic model","interactions":[],"lastModifiedDate":"2017-08-29T10:49:37","indexId":"70037561","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting coastal cliff erosion using a Bayesian probabilistic model","docAbstract":"<p><span>Regional coastal cliff retreat is difficult to model due to the episodic nature of failures and the along-shore variability of retreat events. There is a growing demand, however, for predictive models that can be used to forecast areas vulnerable to coastal erosion hazards. Increasingly, probabilistic models are being employed that require data sets of high temporal density to define the joint probability density function that relates forcing variables (e.g. wave conditions) and initial conditions (e.g. cliff geometry) to erosion events. In this study we use a multi-parameter Bayesian network to investigate correlations between key variables that control and influence variations in cliff retreat processes. The network uses Bayesian statistical methods to estimate event probabilities using existing observations. Within this framework, we forecast the spatial distribution of cliff retreat along two stretches of cliffed coast in Southern California. The input parameters are the height and slope of the cliff, a descriptor of material strength based on the dominant cliff-forming lithology, and the long-term cliff erosion rate that represents prior behavior. The model is forced using predicted wave impact hours. Results demonstrate that the Bayesian approach is well-suited to the forward modeling of coastal cliff retreat, with the correct outcomes forecast in 70–90% of the modeled transects. The model also performs well in identifying specific locations of high cliff erosion, thus providing a foundation for hazard mapping. This approach can be employed to predict cliff erosion at time-scales ranging from storm events to the impacts of sea-level rise at the century-scale.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2010.10.001","issn":"00253227","usgsCitation":"Hapke, C.J., and Plant, N.G., 2010, Predicting coastal cliff erosion using a Bayesian probabilistic model: Marine Geology, v. 278, no. 1-4, p. 140-149, https://doi.org/10.1016/j.margeo.2010.10.001.","productDescription":"10 p.","startPage":"140","endPage":"149","numberOfPages":"10","ipdsId":"IP-021673","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475794,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/4358","text":"External Repository"},{"id":245933,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217960,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2010.10.001"}],"volume":"278","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a81b1e4b0c8380cd7b696","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":461603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":461604,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037592,"text":"70037592 - 2010 - Comparison of watershed disturbance predictive models for stream benthic macroinvertebrates for three distinct ecoregions in western US","interactions":[],"lastModifiedDate":"2018-06-01T14:11:44","indexId":"70037592","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of watershed disturbance predictive models for stream benthic macroinvertebrates for three distinct ecoregions in western US","docAbstract":"<p><span>The successful use of macroinvertebrates as indicators of stream condition in bioassessments has led to heightened interest throughout the scientific community in the prediction of stream condition. For example, predictive models are increasingly being developed that use measures of watershed disturbance, including urban and agricultural land-use, as explanatory variables to predict various metrics of biological condition such as richness, tolerance, percent predators, index of biotic integrity, functional species traits, or even ordination axes scores. Our primary intent was to determine if effective models could be developed using watershed characteristics of disturbance to predict macroinvertebrate metrics among disparate and widely separated ecoregions. We aggregated macroinvertebrate data from universities and state and federal agencies in order to assemble stream data sets of high enough density appropriate for modeling in three distinct ecoregions in Oregon and California. Extensive review and quality assurance of macroinvertebrate sampling protocols, laboratory subsample counts and taxonomic resolution was completed to assure data comparability. We used widely available digital coverages of land-use and land-cover data summarized at the watershed and riparian scale as explanatory variables to predict macroinvertebrate metrics commonly used by state resource managers to assess stream condition. The “best” multiple linear regression models from each region required only two or three explanatory variables to model macroinvertebrate metrics and explained 41–74% of the variation. In each region the best model contained some measure of urban and/or agricultural land-use, yet often the model was improved by including a natural explanatory variable such as mean annual precipitation or mean watershed slope. Two macroinvertebrate metrics were common among all three regions, the metric that summarizes the richness of tolerant macroinvertebrates (RICHTOL) and some form of EPT (Ephemeroptera, Plecoptera, and Trichoptera) richness. Best models were developed for the same two invertebrate metrics even though the geographic regions reflect distinct differences in precipitation, geology, elevation, slope, population density, and land-use. With further development, models like these can be used to elicit better causal linkages to stream biological attributes or condition and can be used by researchers or managers to predict biological indicators of stream condition at unsampled sites.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2010.03.011","issn":"1470160X","usgsCitation":"Waite, I.R., Brown, L.R., Kennen, J., May, J.T., Cuffney, T.F., Orlando, J.L., and Jones, K.A., 2010, Comparison of watershed disturbance predictive models for stream benthic macroinvertebrates for three distinct ecoregions in western US: Ecological Indicators, v. 10, no. 6, p. 1125-1136, https://doi.org/10.1016/j.ecolind.2010.03.011.","productDescription":"12 p.","startPage":"1125","endPage":"1136","numberOfPages":"12","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":245935,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217962,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2010.03.011"}],"volume":"10","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f8bde4b0c8380cd4d277","contributors":{"authors":[{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":461789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":461790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":461787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":461791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":461792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orlando, James L. 0000-0002-0099-7221 jorlando@usgs.gov","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":1368,"corporation":false,"usgs":true,"family":"Orlando","given":"James","email":"jorlando@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":461786,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Kimberly A. kjones@usgs.gov","contributorId":937,"corporation":false,"usgs":true,"family":"Jones","given":"Kimberly","email":"kjones@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":461788,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70190357,"text":"70190357 - 2010 - NetCDF-CF-OPeNDAP: Standards for ocean data interoperability and object lessons for community data standards processes","interactions":[],"lastModifiedDate":"2017-08-29T18:48:30","indexId":"70190357","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"NetCDF-CF-OPeNDAP: Standards for ocean data interoperability and object lessons for community data standards processes","docAbstract":"<p><span>It is generally recognized that meeting society's emerging environmental science and management needs will require the marine data community to provide simpler, more effective and more interoperable access to its data. There is broad agreement, as well, that data standards are the bedrock upon which interoperability will be built. The path that would bring the marine data community to agree upon and utilize such standards, however, is often elusive. In this paper we examine the trio of standards 1) netCDF files; 2) the Climate and Forecast (CF) metadata convention; and 3) the OPeNDAP data access protocol. These standards taken together have brought our community a high level of interoperability for \"gridded\" data such as model outputs, satellite products and climatological analyses, and they are gaining rapid acceptance for ocean observations. We will provide an overview of the scope of the contribution that has been made. We then step back from the information technology considerations to examine the community or \"social\" process by which the successes were achieved. We contrast the path by which the World Meteorological Organization (WMO) has advanced the Global Telecommunications System (GTS) - netCDF/CF/OPeNDAP exemplifying a \"bottom up\" standards process whereas GTS is \"top down\". Both of these standards are tales of success at achieving specific purposes, yet each is hampered by technical limitations. These limitations sometimes lead to controversy over whether alternative technological directions should be pursued. Finally we draw general conclusions regarding the factors that affect the success of a standards development effort - the likelihood that an IT standard will meet its design goals and will achieve community-wide acceptance. We believe that a higher level of thoughtful awareness by the scientists, program managers and technology experts of the vital role of standards and the merits of alternative standards processes can help us as a community to reach our interoperability goals faster.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceDate":"September 21-25, 2009","conferenceLocation":"Venice, Italy","language":"English","publisher":"Proceedings of OceanObs’09","doi":"10.5270/OceanObs09.cwp.41","usgsCitation":"Hankin, S.C., Blower, J.D., Carval, T., Casey, K.S., Donlon, C., Lauret, O., Loubrieu, T., Srinivasan, A., Trinanes, J., Godoy, O., Mendelssohn, R., Signell, R.P., de La Beaujardiere, J., Cornillon, P., Blanc, F., Rew, R., and Harlan, J., 2010, NetCDF-CF-OPeNDAP: Standards for ocean data interoperability and object lessons for community data standards processes, <i>in</i> Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society, v. 2, Venice, Italy, September 21-25, 2009, 9 p., https://doi.org/10.5270/OceanObs09.cwp.41.","productDescription":"9 p.","ipdsId":"IP-018559","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475917,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5270/oceanobs09.cwp.41","text":"Publisher Index Page"},{"id":345289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a67d43e4b0fd9b77ce47ce","contributors":{"editors":[{"text":"Hall, Julie","contributorId":63798,"corporation":false,"usgs":false,"family":"Hall","given":"Julie","email":"","affiliations":[],"preferred":false,"id":708982,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Harrison, D.E.","contributorId":121555,"corporation":false,"usgs":false,"family":"Harrison","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":708983,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Stammer, Detlef","contributorId":78837,"corporation":false,"usgs":false,"family":"Stammer","given":"Detlef","email":"","affiliations":[],"preferred":false,"id":708985,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Hankin, Steven C.","contributorId":176414,"corporation":false,"usgs":false,"family":"Hankin","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":17605,"text":"NOAA, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":708959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blower, Jon D.","contributorId":195918,"corporation":false,"usgs":false,"family":"Blower","given":"Jon","email":"","middleInitial":"D.","affiliations":[{"id":34448,"text":"Environmental Systems Science Centre, University of Reading, UK","active":true,"usgs":false}],"preferred":false,"id":708960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carval, Thierry","contributorId":195919,"corporation":false,"usgs":false,"family":"Carval","given":"Thierry","email":"","affiliations":[{"id":18891,"text":"Ifremer, Centre de Brest, France","active":true,"usgs":false}],"preferred":false,"id":708961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casey, Kenneth S.","contributorId":195920,"corporation":false,"usgs":false,"family":"Casey","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":16942,"text":"National Oceanic and Atmospheric Administration, Silver Spring, Maryland","active":true,"usgs":false}],"preferred":false,"id":708962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donlon, Craig","contributorId":195921,"corporation":false,"usgs":false,"family":"Donlon","given":"Craig","email":"","affiliations":[{"id":34451,"text":"European Space Agency, Noordwijk, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":708963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lauret, Olivier","contributorId":32457,"corporation":false,"usgs":false,"family":"Lauret","given":"Olivier","email":"","affiliations":[{"id":34484,"text":"CLS (Collecte Localisation Satellites) Space Oceanography Division, Ramonville Saint-Agne, France","active":true,"usgs":false}],"preferred":false,"id":708964,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loubrieu, 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rsignell@usgs.gov","contributorId":1435,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":708970,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"de La Beaujardiere, Jeff","contributorId":62950,"corporation":false,"usgs":false,"family":"de La Beaujardiere","given":"Jeff","affiliations":[{"id":16942,"text":"National Oceanic and Atmospheric Administration, Silver Spring, Maryland","active":true,"usgs":false}],"preferred":false,"id":708971,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cornillon, Peter","contributorId":192058,"corporation":false,"usgs":false,"family":"Cornillon","given":"Peter","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":708974,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Blanc, Frederique","contributorId":98173,"corporation":false,"usgs":false,"family":"Blanc","given":"Frederique","email":"","affiliations":[{"id":34484,"text":"CLS (Collecte Localisation Satellites) Space Oceanography Division, Ramonville Saint-Agne, France","active":true,"usgs":false}],"preferred":false,"id":708975,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rew, Russ","contributorId":190989,"corporation":false,"usgs":false,"family":"Rew","given":"Russ","email":"","affiliations":[{"id":34487,"text":"Unidata/University Corporation for Atmospheric Research, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":708976,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Harlan, Jack","contributorId":18635,"corporation":false,"usgs":false,"family":"Harlan","given":"Jack","email":"","affiliations":[{"id":16942,"text":"National Oceanic and Atmospheric Administration, Silver Spring, Maryland","active":true,"usgs":false}],"preferred":false,"id":708977,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70037589,"text":"70037589 - 2010 - A 15 000-year record of climate change in northern New Mexico, USA, inferred from isotopic and elemental contents of bog sediments","interactions":[],"lastModifiedDate":"2018-01-23T09:39:19","indexId":"70037589","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"A 15 000-year record of climate change in northern New Mexico, USA, inferred from isotopic and elemental contents of bog sediments","docAbstract":"<p>Elemental (C, N, Pb) and isotopic (<i>δ</i><sup>13</sup>C, <i>δ</i><sup>15</sup>N) measurements of cored sediment from a small bog in northern New Mexico reveal changes in climate during the Late Pleistocene and Holocene. Abrupt increases in Pb concentration and <i>δ</i><sup>13</sup>C values ca. 14 420 cal. YBP indicate significant runoff to the shallow lake that existed at that time. Weathering and transport of local volcanic rocks resulted in the delivery of Pb-bearing minerals to the basin, while a <sup>13</sup>C-enriched terrestrial vegetation source increased the <i>δ</i><sup>13</sup>C values of the sedimentary material. Wet conditions developed over a 300 a period and lasted for a few hundred years. The Younger Dryas period (ca. 12 700–11 500 cal. YBP) caused a reduction in terrestrial productivity reflected in decreasing C/N values, <i>δ</i><sup>15</sup>N values consistently greater than 0‰ and low organic content. By contrast, aquatic productivity increased during the second half of this period, evidenced by increasing <i>δ</i><sup>13</sup>C values at the time of highest abundance of algae. Dry conditions ca. 8 000–6 000 cal. YBP were characterised by low organic carbon content and high Pb concentrations, the latter suggesting enhanced erosion and aeolian transport of volcanic rock. The range in <i>δ</i><sup>13</sup>C, <i>δ</i><sup>15</sup>N and C/N values in the sedimentary record fall within the range of modern plants, except during the periods of runoff and drought. The sedimentary record provides evidence of natural climate variability in northern New Mexico, including short- (multi-centennial) and long-(millennial) term episodes during the Late Pleistocene and Holocene.</p>","language":"English","publisher":"Wiley","doi":"10.1002/jqs.1387","usgsCitation":"Cisneros-Dozal, L.M., Heikoop, J., Fessenden, J., Anderson, R., Meyers, P., Allen, C.D., Hess, M., Larson, T., Perkins, G., and Rearick, M., 2010, A 15 000-year record of climate change in northern New Mexico, USA, inferred from isotopic and elemental contents of bog sediments: Journal of Quaternary Science, v. 25, no. 6, p. 1001-1007, https://doi.org/10.1002/jqs.1387.","productDescription":"7 p.","startPage":"1001","endPage":"1007","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":475927,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/jqs.1387","text":"External Repository"},{"id":245920,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-01-12","publicationStatus":"PW","scienceBaseUri":"5059e2bfe4b0c8380cd45bfb","contributors":{"authors":[{"text":"Cisneros-Dozal, L. M.","contributorId":7099,"corporation":false,"usgs":true,"family":"Cisneros-Dozal","given":"L.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":461766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heikoop, J.M.","contributorId":29247,"corporation":false,"usgs":true,"family":"Heikoop","given":"J.M.","affiliations":[],"preferred":false,"id":461768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fessenden, J.","contributorId":73838,"corporation":false,"usgs":true,"family":"Fessenden","given":"J.","affiliations":[],"preferred":false,"id":461774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, R. Scott","contributorId":6983,"corporation":false,"usgs":false,"family":"Anderson","given":"R. Scott","affiliations":[{"id":7034,"text":"School of Earth Sciences and Environmental Sustainability at Northern Arizona University, in Flagstaff","active":true,"usgs":false}],"preferred":false,"id":461765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyers, P.A.","contributorId":53527,"corporation":false,"usgs":true,"family":"Meyers","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":461771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":461769,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hess, M.","contributorId":49997,"corporation":false,"usgs":true,"family":"Hess","given":"M.","email":"","affiliations":[],"preferred":false,"id":461770,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Larson, T.","contributorId":68996,"corporation":false,"usgs":true,"family":"Larson","given":"T.","email":"","affiliations":[],"preferred":false,"id":461772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perkins, G.","contributorId":70627,"corporation":false,"usgs":true,"family":"Perkins","given":"G.","email":"","affiliations":[],"preferred":false,"id":461773,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rearick, M.","contributorId":17858,"corporation":false,"usgs":true,"family":"Rearick","given":"M.","email":"","affiliations":[],"preferred":false,"id":461767,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70037583,"text":"70037583 - 2010 - Predicting species distributions from checklist data using site-occupancy models","interactions":[],"lastModifiedDate":"2012-03-12T17:22:00","indexId":"70037583","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Predicting species distributions from checklist data using site-occupancy models","docAbstract":"Aim: (1) To increase awareness of the challenges induced by imperfect detection, which is a fundamental issue in species distribution modelling; (2) to emphasize the value of replicate observations for species distribution modelling; and (3) to show how 'cheap' checklist data in faunal/floral databases may be used for the rigorous modelling of distributions by site-occupancy models. Location: Switzerland. Methods: We used checklist data collected by volunteers during 1999 and 2000 to analyse the distribution of the blue hawker, Aeshna cyanea (Odonata, Aeshnidae), a common dragonfly in Switzerland. We used data from repeated visits to 1-ha pixels to derive 'detection histories' and apply site-occupancy models to estimate the 'true' species distribution, i.e. corrected for imperfect detection. We modelled blue hawker distribution as a function of elevation and year and its detection probability of elevation, year and season. Results: The best model contained cubic polynomial elevation effects for distribution and quadratic effects of elevation and season for detectability. We compared the site-occupancy model with a conventional distribution model based on a generalized linear model, which assumes perfect detectability (p = 1). The conventional distribution map looked very different from the distribution map obtained using site-occupancy models that accounted for the imperfect detection. The conventional model underestimated the species distribution by 60%, and the slope parameters of the occurrence-elevation relationship were also underestimated when assuming p = 1. Elevation was not only an important predictor of blue hawker occurrence, but also of the detection probability, with a bell-shaped relationship. Furthermore, detectability increased over the season. The average detection probability was estimated at only 0.19 per survey. Main conclusions: Conventional species distribution models do not model species distributions per se but rather the apparent distribution, i.e. an unknown proportion of species distributions. That unknown proportion is equivalent to detectability. Imperfect detection in conventional species distribution models yields underestimates of the extent of distributions and covariate effects that are biased towards zero. In addition, patterns in detectability will erroneously be ascribed to species distributions. In contrast, site-occupancy models applied to replicated detection/non-detection data offer a powerful framework for making inferences about species distributions corrected for imperfect detection. The use of 'cheap' checklist data greatly enhances the scope of applications of this useful class of models. ?? 2010 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2699.2010.02345.x","issn":"03050270","usgsCitation":"Kery, M., Gardner, B., and Monnerat, C., 2010, Predicting species distributions from checklist data using site-occupancy models: Journal of Biogeography, v. 37, no. 10, p. 1851-1862, https://doi.org/10.1111/j.1365-2699.2010.02345.x.","startPage":"1851","endPage":"1862","numberOfPages":"12","costCenters":[],"links":[{"id":475807,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2699.2010.02345.x","text":"Publisher Index Page"},{"id":245878,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217905,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2699.2010.02345.x"}],"volume":"37","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-06-22","publicationStatus":"PW","scienceBaseUri":"505a81cae4b0c8380cd7b723","contributors":{"authors":[{"text":"Kery, M.","contributorId":46637,"corporation":false,"usgs":true,"family":"Kery","given":"M.","affiliations":[],"preferred":false,"id":461751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, B.","contributorId":26793,"corporation":false,"usgs":true,"family":"Gardner","given":"B.","email":"","affiliations":[],"preferred":false,"id":461750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monnerat, C.","contributorId":66945,"corporation":false,"usgs":true,"family":"Monnerat","given":"C.","email":"","affiliations":[],"preferred":false,"id":461752,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037600,"text":"70037600 - 2010 - Sharing the floodplain: Mediated modeling for environmental management","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70037600","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Sharing the floodplain: Mediated modeling for environmental management","docAbstract":"Complex ecosystems, such as the Upper Mississippi River (UMR), present major management challenges. Such systems often provide a range of ecosystem services that are differentially valued by stakeholders representing distinct interests (e.g., agriculture, conservation, navigation) or institutions (e.g., federal and state agencies). When no single entity has the knowledge or authority to resolve conflicts over shared resource use, stakeholders may struggle to jointly understand the scope of the problem and to reach reasonable compromises. This paper explores mediated modeling as a group consensus building process for understanding relationships between ecological, economic and cultural well-being in the UMR floodplain. We describe a workshop structure used to engage UMR stakeholders that may be extended to resource use conflicts in other complex ecosystems. We provide recommendations for improving on these participatory methods in structuring future efforts. In conclusion, we suggest that tools which facilitate collaborative learning, such as mediated modeling, need to be incorporated at an institutional level as a vital element of integrated ecosystem management. ?? 2008 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Modelling and Software","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.envsoft.2008.11.009","issn":"13648152","usgsCitation":"Metcalf, S., Wheeler, E., BenDor, T., Lubinski, S., and Hannon, B., 2010, Sharing the floodplain: Mediated modeling for environmental management: Environmental Modelling and Software, v. 25, no. 11, p. 1282-1290, https://doi.org/10.1016/j.envsoft.2008.11.009.","startPage":"1282","endPage":"1290","numberOfPages":"9","costCenters":[],"links":[{"id":218020,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2008.11.009"},{"id":245997,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8e4ee4b08c986b31886e","contributors":{"authors":[{"text":"Metcalf, S.S.","contributorId":54832,"corporation":false,"usgs":true,"family":"Metcalf","given":"S.S.","email":"","affiliations":[],"preferred":false,"id":461859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wheeler, E.","contributorId":12299,"corporation":false,"usgs":true,"family":"Wheeler","given":"E.","email":"","affiliations":[],"preferred":false,"id":461857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"BenDor, T. K.","contributorId":19011,"corporation":false,"usgs":true,"family":"BenDor","given":"T. K.","affiliations":[],"preferred":false,"id":461858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lubinski, S.J.","contributorId":83063,"corporation":false,"usgs":true,"family":"Lubinski","given":"S.J.","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":461861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannon, B.M.","contributorId":70224,"corporation":false,"usgs":true,"family":"Hannon","given":"B.M.","email":"","affiliations":[],"preferred":false,"id":461860,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037581,"text":"70037581 - 2010 - Occurrence and distribution of Indian primates","interactions":[],"lastModifiedDate":"2012-03-12T17:22:06","indexId":"70037581","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence and distribution of Indian primates","docAbstract":"Global and regional species conservation efforts are hindered by poor distribution data and range maps. Many Indian primates face extinction, but assessments of population status are hindered by lack of reliable distribution data. We estimated the current occurrence and distribution of 15 Indian primates by applying occupancy models to field data from a country-wide survey of local experts. We modeled species occurrence in relation to ecological and social covariates (protected areas, landscape characteristics, and human influences), which we believe are critical to determining species occurrence in India. We found evidence that protected areas positively influence occurrence of seven species and for some species are their only refuge. We found evergreen forests to be more critical for some primates along with temperate and deciduous forests. Elevation negatively influenced occurrence of three species. Lower human population density was positively associated with occurrence of five species, and higher cultural tolerance was positively associated with occurrence of three species. We find that 11 primates occupy less than 15% of the total land area of India. Vulnerable primates with restricted ranges are Golden langur, Arunachal macaque, Pig-tailed macaque, stump-tailed macaque, Phayre's leaf monkey, Nilgiri langur and Lion-tailed macaque. Only Hanuman langur and rhesus macaque are widely distributed. We find occupancy modeling to be useful in determining species ranges, and in agreement with current species ranking and IUCN status. In landscapes where monitoring efforts require optimizing cost, effort and time, we used ecological and social covariates to reliably estimate species occurrence and focus species conservation efforts. ?? Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.biocon.2010.02.011","issn":"00063207","usgsCitation":"Karanth, K., Nichols, J., and Hines, J., 2010, Occurrence and distribution of Indian primates: Biological Conservation, v. 143, no. 12, p. 2891-2899, https://doi.org/10.1016/j.biocon.2010.02.011.","startPage":"2891","endPage":"2899","numberOfPages":"9","costCenters":[],"links":[{"id":218100,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2010.02.011"},{"id":246082,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6b30e4b0c8380cd7457c","contributors":{"authors":[{"text":"Karanth, K.K.","contributorId":65964,"corporation":false,"usgs":true,"family":"Karanth","given":"K.K.","email":"","affiliations":[],"preferred":false,"id":461741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":461739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, J.E. 0000-0001-5478-7230","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":36885,"corporation":false,"usgs":true,"family":"Hines","given":"J.E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":461740,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037580,"text":"70037580 - 2010 - Finite-difference modeling and dispersion analysis of high-frequency love waves for near-surface applications","interactions":[],"lastModifiedDate":"2012-03-12T17:22:06","indexId":"70037580","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Finite-difference modeling and dispersion analysis of high-frequency love waves for near-surface applications","docAbstract":"Love-wave propagation has been a topic of interest to crustal, earthquake, and engineering seismologists for many years because it is independent of Poisson's ratio and more sensitive to shear (S)-wave velocity changes and layer thickness changes than are Rayleigh waves. It is well known that Love-wave generation requires the existence of a low S-wave velocity layer in a multilayered earth model. In order to study numerically the propagation of Love waves in a layered earth model and dispersion characteristics for near-surface applications, we simulate high-frequency (>5 Hz) Love waves by the staggered-grid finite-difference (FD) method. The air-earth boundary (the shear stress above the free surface) is treated using the stress-imaging technique. We use a two-layer model to demonstrate the accuracy of the staggered-grid modeling scheme. We also simulate four-layer models including a low-velocity layer (LVL) or a high-velocity layer (HVL) to analyze dispersive energy characteristics for near-surface applications. Results demonstrate that: (1) the staggered-grid FD code and stress-imaging technique are suitable for treating the free-surface boundary conditions for Love-wave modeling, (2) Love-wave inversion should be treated with extra care when a LVL exists because of a lack of LVL information in dispersions aggravating uncertainties in the inversion procedure, and (3) energy of high modes in a low-frequency range is very weak, so that it is difficult to estimate the cutoff frequency accurately, and \"mode-crossing\" occurs between the second higher and third higher modes when a HVL exists. ?? 2010 Birkh??user / Springer Basel AG.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pure and Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00024-010-0144-7","issn":"00334553","usgsCitation":"Luo, Y., Xia, J., Xu, Y., Zeng, C., and Liu, J., 2010, Finite-difference modeling and dispersion analysis of high-frequency love waves for near-surface applications: Pure and Applied Geophysics, v. 167, no. 12, p. 1525-1536, https://doi.org/10.1007/s00024-010-0144-7.","startPage":"1525","endPage":"1536","numberOfPages":"12","costCenters":[],"links":[{"id":246081,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218099,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-010-0144-7"}],"volume":"167","issue":"12","noUsgsAuthors":false,"publicationDate":"2010-04-23","publicationStatus":"PW","scienceBaseUri":"505a102ee4b0c8380cd53b75","contributors":{"authors":[{"text":"Luo, Y.","contributorId":28417,"corporation":false,"usgs":true,"family":"Luo","given":"Y.","email":"","affiliations":[],"preferred":false,"id":461735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":461737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Y.","contributorId":47816,"corporation":false,"usgs":true,"family":"Xu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":461736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zeng, C.","contributorId":94519,"corporation":false,"usgs":true,"family":"Zeng","given":"C.","email":"","affiliations":[],"preferred":false,"id":461738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":461734,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037577,"text":"70037577 - 2010 - Automated feature extraction and spatial organization of seafloor pockmarks, Belfast Bay, Maine, USA","interactions":[],"lastModifiedDate":"2017-08-29T10:56:24","indexId":"70037577","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Automated feature extraction and spatial organization of seafloor pockmarks, Belfast Bay, Maine, USA","docAbstract":"<p><span>Seafloor pockmarks occur worldwide and may represent millions of m</span><sup>3</sup><span><span>&nbsp;</span>of continental shelf erosion, but few numerical analyses of their morphology and spatial distribution of pockmarks exist. We introduce a quantitative definition of pockmark morphology and, based on this definition, propose a three-step geomorphometric method to identify and extract pockmarks from high-resolution swath bathymetry. We apply this GIS-implemented approach to 25</span><span>&nbsp;</span><span>km</span><sup>2</sup><span><span>&nbsp;</span>of bathymetry collected in the Belfast Bay, Maine USA pockmark field. Our model extracted 1767 pockmarks and found a linear pockmark depth-to-diameter ratio for pockmarks field-wide. Mean pockmark depth is 7.6</span><span>&nbsp;</span><span>m and mean diameter is 84.8</span><span>&nbsp;</span><span>m. Pockmark distribution is non-random, and nearly half of the field's pockmarks occur in chains. The most prominent chains are oriented semi-normal to the steepest gradient in Holocene sediment thickness. A descriptive model yields field-wide spatial statistics indicating that pockmarks are distributed in non-random clusters. Results enable quantitative comparison of pockmarks in fields worldwide as well as similar concave features, such as impact craters, dolines, or salt pools.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2010.08.009","issn":"0169555X","usgsCitation":"Andrews, B., Brothers, L.L., and Barnhardt, W., 2010, Automated feature extraction and spatial organization of seafloor pockmarks, Belfast Bay, Maine, USA: Geomorphology, v. 124, no. 1-2, p. 55-64, https://doi.org/10.1016/j.geomorph.2010.08.009.","productDescription":"10 p.","startPage":"55","endPage":"64","numberOfPages":"10","ipdsId":"IP-019314","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475860,"rank":10001,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/4169","text":"External Repository"},{"id":438840,"rank":10000,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90QQCOR","text":"USGS data release","linkHelpText":"High-resolution marine geophysical data collected by the USGS in the Belfast Bay, Maine pockmark field in 2006, 2008, and 2009."},{"id":246056,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218076,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2010.08.009"}],"volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eef4e4b0c8380cd4a071","contributors":{"authors":[{"text":"Andrews, Brian D. bandrews@usgs.gov","contributorId":138513,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":461728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Laura L. lbrothers@usgs.gov","contributorId":131142,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura","email":"lbrothers@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":461726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhardt, Walter A. wbarnhardt@usgs.gov","contributorId":2474,"corporation":false,"usgs":true,"family":"Barnhardt","given":"Walter A.","email":"wbarnhardt@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":461727,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037576,"text":"70037576 - 2010 - Normal-faulting slip maxima and stress-drop variability: A geological perspective","interactions":[],"lastModifiedDate":"2021-05-21T17:11:07.466551","indexId":"70037576","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Normal-faulting slip maxima and stress-drop variability: A geological perspective","docAbstract":"<p>We present an empirical estimate of maximum slip in continental normal-faulting earthquakes and present evidence that stress drop in intraplate extensional environments is dependent on fault maturity. A survey of reported slip in historical earthquakes globally and in latest Quaternary paleoearthquakes in the Western Cordillera of the United States indicates maximum vertical displacements as large as 6–6.5&nbsp;m. A difference in the ratio of maximum-to-mean displacements between data sets of prehistoric and historical earthquakes, together with constraints on bias in estimates of mean paleodisplacement, suggest that applying a correction factor of 1.4±0.3 to the largest observed displacement along a paleorupture may provide a reasonable estimate of the maximum displacement. Adjusting the largest paleodisplacements in our regional data set (∼6 m) by a factor of 1.4 yields a possible upper-bound vertical displacement for the Western Cordillera of about 8.4&nbsp;m, although a smaller correction factor may be more appropriate for the longest ruptures. Because maximum slip is highly localized along strike, if such large displacements occur, they are extremely rare.</p><p>Static stress drop in surface-rupturing earthquakes in the Western Cordillera, as represented by maximum reported displacement as a fraction of modeled rupture length, appears to be larger on normal faults with low cumulative geologic displacement (&lt;2 km) and larger in regions such as the Rocky Mountains, where immature, low-throw faults are concentrated. This conclusion is consistent with a growing recognition that structural development influences stress drop and indicates that this influence is significant enough to be evident among faults within a single intraplate environment.</p>","language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120090356","usgsCitation":"Hecker, S., Dawson, T.E., and Schwartz, D.P., 2010, Normal-faulting slip maxima and stress-drop variability: A geological perspective: Bulletin of the Seismological Society of America, v. 100, no. 6, p. 3130-3147, https://doi.org/10.1785/0120090356.","productDescription":"18 p.","startPage":"3130","endPage":"3147","ipdsId":"IP-011112","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":246055,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-06","publicationStatus":"PW","scienceBaseUri":"505a67c3e4b0c8380cd7349b","contributors":{"authors":[{"text":"Hecker, Suzanne 0000-0002-5054-372X shecker@usgs.gov","orcid":"https://orcid.org/0000-0002-5054-372X","contributorId":3553,"corporation":false,"usgs":true,"family":"Hecker","given":"Suzanne","email":"shecker@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":461724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, T. E.","contributorId":84537,"corporation":false,"usgs":true,"family":"Dawson","given":"T.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":461725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, David P. 0000-0001-5193-9200","orcid":"https://orcid.org/0000-0001-5193-9200","contributorId":52968,"corporation":false,"usgs":true,"family":"Schwartz","given":"David","middleInitial":"P.","affiliations":[],"preferred":false,"id":461723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190409,"text":"70190409 - 2010 - Distribution and tsunamigenic potential of submarine landslides in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2019-08-09T13:05:25","indexId":"70190409","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Distribution and tsunamigenic potential of submarine landslides in the Gulf of Mexico","docAbstract":"<p><span>The Gulf of Mexico (GOM) is a geologically diverse ocean basin that includes three distinct geologic provinces: a carbonate province, a salt province, and canyon to deep-sea fan province, all of which contain evidence of submarine mass movements. The threat of submarine landslides in the GOM as a generator of near-field damaging tsunamis has not been widely addressed. Submarine landslides in the GOM are considered a potential tsunami hazard because: (1) some dated landslides in the GOM have post-glacial ages and (2) recent seismicity recorded within the GOM. We present a brief review of the distribution and style of submarine landslides that have occurred in the GOM during the Quaternary, followed by preliminary hydrodynamic modeling results of tsunami generation from the East Breaks landslide off Corpus Christie, TX.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Submarine mass movements and their consequences. Advances in natural and technological hazards research, vol 28","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-3071-9_60","usgsCitation":"Chaytor, J., Twichell, D.C., Lynett, P., and Geist, E.L., 2010, Distribution and tsunamigenic potential of submarine landslides in the Gulf of Mexico, chap. <i>of</i> Submarine mass movements and their consequences. Advances in natural and technological hazards research, vol 28, v. 28, p. 745-754, https://doi.org/10.1007/978-90-481-3071-9_60.","productDescription":"10 p.","startPage":"745","endPage":"754","ipdsId":"IP-013649","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":345364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a7ced4e4b0fd9b77d092c4","contributors":{"authors":[{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":4961,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":709017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twichell, David C.","contributorId":37730,"corporation":false,"usgs":true,"family":"Twichell","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":709087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynett, Patrick","contributorId":196027,"corporation":false,"usgs":false,"family":"Lynett","given":"Patrick","affiliations":[],"preferred":false,"id":709020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":709018,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156906,"text":"70156906 - 2010 - Water-budget methods","interactions":[{"subject":{"id":70156906,"text":"70156906 - 2010 - Water-budget methods","indexId":"70156906","publicationYear":"2010","noYear":false,"chapter":"2","title":"Water-budget methods"},"predicate":"IS_PART_OF","object":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"id":1}],"isPartOf":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"lastModifiedDate":"2021-04-26T17:34:23.507642","indexId":"70156906","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Water-budget methods","docAbstract":"<p>A water budget is an accounting of water movement into and out of, and storage change within, some control volume. <span class=\"italic\">Universal</span> and <span class=\"italic\">adaptable</span> are adjectives that reflect key features of water-budget methods for estimating recharge. The universal concept of mass conservation of water implies that water-budget methods are applicable over any space and time scales (Healy <span class=\"italic\">et al</span>., 2007). The water budget of a soil column in a laboratory can be studied at scales of millimeters and seconds. A water-budget equation is also an integral component of atmospheric general circulation models used to predict global climates over periods of decades or more. Water-budget equations can be easily customized by adding or removing terms to accurately portray the peculiarities of any hydrologic system. The equations are generally not bound by assumptions on mechanisms by which water moves into, through, and out of the control volume of interest. So water-budget methods can be used to estimate both diffuse and focused recharge, and recharge estimates are unaffected by phenomena such as preferential flow paths within the unsaturated zone.</p><p>Water-budget methods represent the largest class of techniques for estimating recharge. Most hydrologic models are derived from a water-budget equation and can therefore be classified as water-budget models. It is not feasible to address all water-budget methods in a single chapter. This chapter is limited to discussion of the “residual” water-budget approach, whereby all variables in a water-budget equation, except for recharge, are independently measured or estimated and recharge is set equal to the residual. This chapter is closely linked with Chapter 3, on modeling methods, because the equations presented here form the basis of many models and because models are often used to estimate individual components in water-budget studies. Water budgets for streams and other surface-water bodies are addressed in Chapter 4. The use of soil-water budgets and lysimeters for determining potential recharge and evapotranspiration from changes in water storage is discussed in Chapter 5. Aquifer water-budget methods based on the measurement of groundwater levels are described in Chapter 6.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Estimating groundwater recharge","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9780511780745.003","isbn":"9780511780745","usgsCitation":"Healy, R.W., 2010, Water-budget methods, chap. 2 <i>of</i> Estimating groundwater recharge, p. 15-42, https://doi.org/10.1017/CBO9780511780745.003.","productDescription":"28 p.","startPage":"15","endPage":"42","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008545","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":307797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560bb71ee4b058f706e53f9e","contributors":{"authors":[{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":571087,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037604,"text":"70037604 - 2010 - Using noble gases measured in spring discharge to trace hydrothermal processes in the Norris Geyser Basin, Yellowstone National Park, U.S.A.","interactions":[],"lastModifiedDate":"2012-03-12T17:22:06","indexId":"70037604","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Using noble gases measured in spring discharge to trace hydrothermal processes in the Norris Geyser Basin, Yellowstone National Park, U.S.A.","docAbstract":"Dissolved noble gas concentrations in springs are used to investigate boiling of hydrothermal water and mixing of hydrothermal and shallow cool water in the Norris Geyser Basin area. Noble gas concentrations in water are modeled for single stage and continuous steam removal. Limitations on boiling using noble gas concentrations are then used to estimate the isotopic effect of boiling on hydrothermal water, allowing the isotopic composition of the parent hydrothermal water to be determined from that measured in spring. In neutral chloride springs of the Norris Geyser Basin, steam loss since the last addition of noble gas charged water is less than 30% of the total hydrothermal discharge, which results in an isotopic shift due to boiling of ?? 2.5% ??D. Noble gas concentrations in water rapidly and predictably change in dual phase systems, making them invaluable tracers of gas-liquid interaction in hydrothermal systems. By combining traditional tracers of hydrothermal flow such as deuterium with dissolved noble gas measurements, more complex hydrothermal processes can be interpreted. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jvolgeores.2010.09.020","issn":"03770273","usgsCitation":"Gardner, W., Susong, D., Solomon, D.K., and Heasler, H., 2010, Using noble gases measured in spring discharge to trace hydrothermal processes in the Norris Geyser Basin, Yellowstone National Park, U.S.A.: Journal of Volcanology and Geothermal Research, v. 198, no. 3-4, p. 394-404, https://doi.org/10.1016/j.jvolgeores.2010.09.020.","startPage":"394","endPage":"404","numberOfPages":"11","costCenters":[],"links":[{"id":218036,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2010.09.020"},{"id":246013,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"198","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc082e4b08c986b32a177","contributors":{"authors":[{"text":"Gardner, W.P.","contributorId":93311,"corporation":false,"usgs":true,"family":"Gardner","given":"W.P.","email":"","affiliations":[],"preferred":false,"id":461876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Susong, D. D.","contributorId":12868,"corporation":false,"usgs":true,"family":"Susong","given":"D. D.","affiliations":[],"preferred":false,"id":461874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Solomon, D. K.","contributorId":98324,"corporation":false,"usgs":false,"family":"Solomon","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":461877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heasler, H.P.","contributorId":21802,"corporation":false,"usgs":true,"family":"Heasler","given":"H.P.","email":"","affiliations":[],"preferred":false,"id":461875,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037605,"text":"70037605 - 2010 - Dynamics and spatio-temporal variability of environmental factors in Eastern Australia using functional principal component analysis","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70037605","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2196,"text":"Journal of Biological Systems","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics and spatio-temporal variability of environmental factors in Eastern Australia using functional principal component analysis","docAbstract":"This paper introduces a new technique in ecology to analyze spatial and temporal variability in environmental variables. By using simple statistics, we explore the relations between abiotic and biotic variables that influence animal distributions. However, spatial and temporal variability in rainfall, a key variable in ecological studies, can cause difficulties to any basic model including time evolution. The study was of a landscape scale (three million square kilometers in eastern Australia), mainly over the period of 19982004. We simultaneously considered qualitative spatial (soil and habitat types) and quantitative temporal (rainfall) variables in a Geographical Information System environment. In addition to some techniques commonly used in ecology, we applied a new method, Functional Principal Component Analysis, which proved to be very suitable for this case, as it explained more than 97% of the total variance of the rainfall data, providing us with substitute variables that are easier to manage and are even able to explain rainfall patterns. The main variable came from a habitat classification that showed strong correlations with rainfall values and soil types. ?? 2010 World Scientific Publishing Company.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Biological Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1142/S0218339010003500","issn":"02183390","usgsCitation":"Szabo, J., Fedriani, E., Segovia-Gonzalez, M.M., Astheimer, L., and Hooper, M., 2010, Dynamics and spatio-temporal variability of environmental factors in Eastern Australia using functional principal component analysis: Journal of Biological Systems, v. 18, no. 4, p. 763-785, https://doi.org/10.1142/S0218339010003500.","startPage":"763","endPage":"785","numberOfPages":"23","costCenters":[],"links":[{"id":218048,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1142/S0218339010003500"},{"id":246028,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-11-21","publicationStatus":"PW","scienceBaseUri":"505a042ce4b0c8380cd50826","contributors":{"authors":[{"text":"Szabo, J.K.","contributorId":38347,"corporation":false,"usgs":true,"family":"Szabo","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":461879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fedriani, E.M.","contributorId":80126,"corporation":false,"usgs":true,"family":"Fedriani","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":461882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Segovia-Gonzalez, M. M.","contributorId":74611,"corporation":false,"usgs":true,"family":"Segovia-Gonzalez","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":461881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Astheimer, L.B.","contributorId":12723,"corporation":false,"usgs":true,"family":"Astheimer","given":"L.B.","email":"","affiliations":[],"preferred":false,"id":461878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooper, M.J.","contributorId":70581,"corporation":false,"usgs":true,"family":"Hooper","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":461880,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037608,"text":"70037608 - 2010 - Simulation and analysis of conjunctive use with MODFLOW's farm process","interactions":[],"lastModifiedDate":"2018-09-18T10:19:23","indexId":"70037608","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Simulation and analysis of conjunctive use with MODFLOW's farm process","docAbstract":"The extension of MODFLOW onto the landscape with the Farm Process (MF-FMP) facilitates fully coupled simulation of the use and movement of water from precipitation, streamflow and runoff, groundwater flow, and consumption by natural and agricultural vegetation throughout the hydrologic system at all times. This allows for more complete analysis of conjunctive use water-resource systems than previously possible with MODFLOW by combining relevant aspects of the landscape with the groundwater and surface water components. This analysis is accomplished using distributed cell-by-cell supply-constrained and demand-driven components across the landscape within \" water-balance subregions\" comprised of one or more model cells that can represent a single farm, a group of farms, or other hydrologic or geopolitical entities. Simulation of micro-agriculture in the Pajaro Valley and macro-agriculture in the Central Valley are used to demonstrate the utility of MF-FMP. For Pajaro Valley, the simulation of an aquifer storage and recovery system and related coastal water distribution system to supplant coastal pumpage was analyzed subject to climate variations and additional supplemental sources such as local runoff. For the Central Valley, analysis of conjunctive use from different hydrologic settings of northern and southern subregions shows how and when precipitation, surface water, and groundwater are important to conjunctive use. The examples show that through MF-FMP's ability to simulate natural and anthropogenic components of the hydrologic cycle, the distribution and dynamics of supply and demand can be analyzed, understood, and managed. This analysis of conjunctive use would be difficult without embedding them in the simulation and are difficult to estimate a priori. Journal compilation ?? 2010 National Ground Water Association. No claim to original US government works.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1745-6584.2010.00730.x","issn":"0017467X","usgsCitation":"Hanson, R.T., Schmid, W., Faunt, C., and Lockwood, B., 2010, Simulation and analysis of conjunctive use with MODFLOW's farm process: Ground Water, v. 48, no. 5, p. 674-689, https://doi.org/10.1111/j.1745-6584.2010.00730.x.","startPage":"674","endPage":"689","numberOfPages":"16","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":218064,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2010.00730.x"},{"id":246044,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-06-22","publicationStatus":"PW","scienceBaseUri":"505b8fe4e4b08c986b3191d6","contributors":{"authors":[{"text":"Hanson, R. T.","contributorId":91148,"corporation":false,"usgs":true,"family":"Hanson","given":"R.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":461895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmid, W.","contributorId":103479,"corporation":false,"usgs":true,"family":"Schmid","given":"W.","email":"","affiliations":[],"preferred":false,"id":461897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, C.C. 0000-0001-5659-7529","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":103314,"corporation":false,"usgs":true,"family":"Faunt","given":"C.C.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":461896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lockwood, B.","contributorId":59660,"corporation":false,"usgs":true,"family":"Lockwood","given":"B.","email":"","affiliations":[],"preferred":false,"id":461894,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037726,"text":"70037726 - 2010 - A trade-off solution between model resolution and covariance in surface-wave inversion","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"70037726","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"A trade-off solution between model resolution and covariance in surface-wave inversion","docAbstract":"Regularization is necessary for inversion of ill-posed geophysical problems. Appraisal of inverse models is essential for meaningful interpretation of these models. Because uncertainties are associated with regularization parameters, extra conditions are usually required to determine proper parameters for assessing inverse models. Commonly used techniques for assessment of a geophysical inverse model derived (generally iteratively) from a linear system are based on calculating the model resolution and the model covariance matrices. Because the model resolution and the model covariance matrices of the regularized solutions are controlled by the regularization parameter, direct assessment of inverse models using only the covariance matrix may provide incorrect results. To assess an inverted model, we use the concept of a trade-off between model resolution and covariance to find a proper regularization parameter with singular values calculated in the last iteration. We plot the singular values from large to small to form a singular value plot. A proper regularization parameter is normally the first singular value that approaches zero in the plot. With this regularization parameter, we obtain a trade-off solution between model resolution and model covariance in the vicinity of a regularized solution. The unit covariance matrix can then be used to calculate error bars of the inverse model at a resolution level determined by the regularization parameter. We demonstrate this approach with both synthetic and real surface-wave data. ?? 2010 Birkh??user / Springer Basel AG.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pure and Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00024-010-0107-z","issn":"00334553","usgsCitation":"Xia, J., Xu, Y., Miller, R., and Zeng, C., 2010, A trade-off solution between model resolution and covariance in surface-wave inversion: Pure and Applied Geophysics, v. 167, no. 12, p. 1537-1547, https://doi.org/10.1007/s00024-010-0107-z.","startPage":"1537","endPage":"1547","numberOfPages":"11","costCenters":[],"links":[{"id":218013,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-010-0107-z"},{"id":245989,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","issue":"12","noUsgsAuthors":false,"publicationDate":"2010-03-16","publicationStatus":"PW","scienceBaseUri":"5059e603e4b0c8380cd470cd","contributors":{"authors":[{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":462510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Y.","contributorId":47816,"corporation":false,"usgs":true,"family":"Xu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":462509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, R. D.","contributorId":92693,"corporation":false,"usgs":true,"family":"Miller","given":"R. D.","affiliations":[],"preferred":false,"id":462511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zeng, C.","contributorId":94519,"corporation":false,"usgs":true,"family":"Zeng","given":"C.","email":"","affiliations":[],"preferred":false,"id":462512,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037610,"text":"70037610 - 2010 - A methodology for ecosystem-scale modeling of selenium","interactions":[],"lastModifiedDate":"2018-10-10T16:52:22","indexId":"70037610","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"A methodology for ecosystem-scale modeling of selenium","docAbstract":"<p>The main route of exposure for selenium (Se) is dietary, yet regulations lack biologically based protocols for evaluations of risk. We propose here an ecosystem-scale model that conceptualizes and quantifies the variables that determinehow Se is processed from water through diet to predators. This approach uses biogeochemical and physiological factors from laboratory and field studies and considers loading, speciation, transformation to particulate material, bioavailability, bioaccumulation in invertebrates, and trophic transfer to predators. Validation of the model is through data sets from 29 historic and recent field case studies of Se-exposed sites. The model links Se concentrations across media (water, particulate, tissue of different food web species). It can be used to forecast toxicity under different management or regulatory proposals or as a methodology for translating a fish-tissue (or other predator tissue) Se concentration guideline to a dissolved Se concentration. The model illustrates some critical aspects of implementing a tissue criterion: 1) the choice of fish species determines the food web through which Se should be modeled, 2) the choice of food web is critical because the particulate material to prey kinetics of bioaccumulation differs widely among invertebrates, 3) the characterization of the type and phase of particulate material is important to quantifying Se exposure to prey through the base of the food web, and 4) the metric describing partitioning between particulate material and dissolved Se concentrations allows determination of a site-specific dissolved Se concentration that would be responsible for that fish body burden in the specific environment. The linked approach illustrates that environmentally safe dissolved Se concentrations will differ among ecosystems depending on the ecological pathways and biogeochemical conditions in that system. Uncertainties and model sensitivities can be directly illustrated by varying exposure scenarios based on site-specific knowledge. The model can also be used to facilitate site-specific regulation and to present generic comparisons to illustrate limitations imposed by ecosystem setting and inhabitants. Used optimally, the model provides a tool for framing a site-specific ecological problem or occurrence of Se exposure, quantify exposure within that ecosystem, and narrow uncertainties abouthowto protect it by understanding the specifics of the underlying system ecology, biogeochemistry, and hydrology.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Integrated Environmental Assessment and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.101","issn":"15513793","usgsCitation":"Presser, T.S., and Luoma, S.N., 2010, A methodology for ecosystem-scale modeling of selenium: Integrated Environmental Assessment and Management, v. 6, no. 4, p. 685-710, https://doi.org/10.1002/ieam.101.","productDescription":"26 p.","startPage":"685","endPage":"710","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":218077,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ieam.101"},{"id":246058,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-10-01","publicationStatus":"PW","scienceBaseUri":"5059e460e4b0c8380cd46605","contributors":{"authors":[{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":461903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":461902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037614,"text":"70037614 - 2010 - Moisture and vegetation controls on decadal-scale accrual of soil organic carbon and total nitrogen in restored grasslands","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70037614","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Moisture and vegetation controls on decadal-scale accrual of soil organic carbon and total nitrogen in restored grasslands","docAbstract":"Revitalization of degraded landscapes may provide sinks for rising atmospheric CO2, especially in reconstructed prairies where substantial belowground productivity is coupled with large soil organic carbon (SOC) deficits after many decades of cultivation. The restoration process also provides opportunities to study the often-elusive factors that regulate soil processes. Although the precise mechanisms that govern the rate of SOC accrual are unclear, factors such as soil moisture or vegetation type may influence the net accrual rate by affecting the balance between organic matter inputs and decomposition. A resampling approach was used to assess the control that soil moisture and plant community type each exert on SOC and total nitrogen (TN) accumulation in restored grasslands. Five plots that varied in drainage were sampled at least four times over two decades to assess SOC, TN, and C4- and C3-derived C. We found that higher long-term soil moisture, characterized by low soil magnetic susceptibility, promoted SOC and TN accrual, with twice the SOC and three times the TN gain in seasonally saturated prairies compared with mesic prairies. Vegetation also influenced SOC and TN recovery, as accrual was faster in the prairies compared with C3-only grassland, and C4-derived C accrual correlated strongly to total SOC accrual but C3-C did not. High SOC accumulation at the surface (0-10 cm) combined with losses at depth (10-20 cm) suggested these soils are recovering the highly stratified profiles typical of remnant prairies. Our results suggest that local hydrology and plant community are critical drivers of SOC and TN recovery in restored grasslands. Because these factors and the way they affect SOC are susceptible to modification by climate change, we contend that predictions of the C-sequestration performance of restored grasslands must account for projected climatic changes on both soil moisture and the seasonal productivity of C4 and C3 plants. ?? 2009 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2486.2009.02114.x","issn":"13541013","usgsCitation":"O’Brien, S.L., Jastrow, J., Grimley, D., and Gonzalez-Meler, M., 2010, Moisture and vegetation controls on decadal-scale accrual of soil organic carbon and total nitrogen in restored grasslands: Global Change Biology, v. 16, no. 9, p. 2573-2588, https://doi.org/10.1111/j.1365-2486.2009.02114.x.","startPage":"2573","endPage":"2588","numberOfPages":"16","costCenters":[],"links":[{"id":218115,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2486.2009.02114.x"},{"id":246097,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5ce8e4b0c8380cd70016","contributors":{"authors":[{"text":"O’Brien, S. L.","contributorId":106737,"corporation":false,"usgs":true,"family":"O’Brien","given":"S.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":461926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jastrow, J.D.","contributorId":89730,"corporation":false,"usgs":true,"family":"Jastrow","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":461924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grimley, D.A.","contributorId":18530,"corporation":false,"usgs":true,"family":"Grimley","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":461923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzalez-Meler, M. A.","contributorId":93743,"corporation":false,"usgs":true,"family":"Gonzalez-Meler","given":"M. A.","affiliations":[],"preferred":false,"id":461925,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037723,"text":"70037723 - 2010 - Influence of sea level rise on iron diagenesis in an east Florida subterranean estuary","interactions":[],"lastModifiedDate":"2025-05-14T14:02:07.075721","indexId":"70037723","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Influence of sea level rise on iron diagenesis in an east Florida subterranean estuary","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"aep-abstract-id14\" class=\"abstract author\" lang=\"en\"><div id=\"aep-abstract-sec-id15\"><div class=\"u-margin-s-bottom\"><span>Subterranean estuary occupies the transition zone between hypoxic fresh groundwater and oxic seawater, and between terrestrial and&nbsp;marine sediment&nbsp;deposits. Consequently, we hypothesize, in a subterranean estuary, biogeochemical reactions of Fe respond to submarine groundwater discharge (SGD) and&nbsp;sea level rise.&nbsp;Porewater&nbsp;and sediment samples were collected across a 30-m wide freshwater discharge zone of the Indian River Lagoon (Florida, USA) subterranean estuary, and at a site 250</span>&nbsp;m offshore. Porewater Fe concentrations range from 0.5&nbsp;μM at the shoreline and 250&nbsp;m offshore to about 286&nbsp;<span>μM at the freshwater–saltwater boundary. Sediment sulfur and porewater sulfide maxima occur in near-surface OC-rich black sediments of marine origin, and dissolved Fe maxima occur in underlying OC-poor orange sediments of&nbsp;terrestrial origin. Freshwater SGD flow rates decrease offshore from around 1 to 0.1</span>&nbsp;cm/day, while bioirrigation exchange deepens with distance from about 10&nbsp;cm at the shoreline to about 40&nbsp;<span>cm at the freshwater–saltwater boundary.&nbsp;DOC&nbsp;concentrations increase from around 75</span>&nbsp;μM at the shoreline to as much as 700&nbsp;<span>μM at the freshwater–saltwater boundary as a result of labile marine carbon inputs from marine SGD. This labile DOC reduces Fe-oxides, which in conjunction with slow discharge of SGD at the boundary, allows dissolved Fe to accumulate. Upward&nbsp;advection&nbsp;of fresh SGD carries dissolved Fe from the Fe-oxide reduction zone to the sulfate reduction zone, where dissolved Fe precipitates as Fe-sulfides. Saturation models of Fe-sulfides indicate some fractions of these Fe-sulfides get dissolved near the sediment–water interface, where bioirrigation exchanges oxic surface water. The estimated dissolved Fe flux is approximately 0.84</span>&nbsp;μM Fe/day per meter of shoreline to lagoon surface waters. Accelerated sea level rise predictions are thus likely to increase the Fe flux to surface waters and local primary productivity, particularly along coastlines where groundwater discharges through sediments.</div></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2010.07.007","issn":"00167037","usgsCitation":"Roy, M., Martin, J., Cherrier, J., Cable, J., and Smith, C.G., 2010, Influence of sea level rise on iron diagenesis in an east Florida subterranean estuary: Geochimica et Cosmochimica Acta, v. 74, no. 19, p. 5560-5573, https://doi.org/10.1016/j.gca.2010.07.007.","productDescription":"14 p.","startPage":"5560","endPage":"5573","numberOfPages":"14","costCenters":[],"links":[{"id":245955,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"19","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3b77e4b0c8380cd6255c","contributors":{"authors":[{"text":"Roy, M.","contributorId":16687,"corporation":false,"usgs":true,"family":"Roy","given":"M.","email":"","affiliations":[],"preferred":false,"id":462495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, J.B.","contributorId":32923,"corporation":false,"usgs":true,"family":"Martin","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":462497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherrier, J.","contributorId":13473,"corporation":false,"usgs":true,"family":"Cherrier","given":"J.","affiliations":[],"preferred":false,"id":462494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cable, J.E.","contributorId":25963,"corporation":false,"usgs":true,"family":"Cable","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":462496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":462498,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}