{"pageNumber":"705","pageRowStart":"17600","pageSize":"25","recordCount":46666,"records":[{"id":70003801,"text":"70003801 - 2010 - Habitat suitability and conservation of the giant gartersnake (Thamnophis gigas) in the Sacramento Valley of California","interactions":[],"lastModifiedDate":"2012-02-02T00:15:51","indexId":"70003801","displayToPublicDate":"2011-08-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Habitat suitability and conservation of the giant gartersnake (Thamnophis gigas) in the Sacramento Valley of California","docAbstract":"Resource managers often have little information regarding the habitat requirements and distribution of rare species. Factor analysis-based habitat suitability models describe the ecological niche of a species and identify locations where these conditions occur on the landscape using existing occurrence data.We used factor analyses to assess the suitability of habitats for Thamnophis gigas (Giant Gartersnake), a rare, threatened species endemic to the Central Valley of California, USA, and to map the locations of habitat suitable for T. gigas in the Sacramento Valley. Factor analyses indicated that the niche of T. gigas is composed of sites near rice agriculture with low stream densities. Sites with high canal densities and near wetlands also appeared suitable, but results for these variables were sensitive to potential sampling bias. In the Sacramento Valley, suitable habitats occur primarily in the central portion of the valley floor. Based upon the results of the factor analyses, recovery planning for T. gigas will require an on-the-ground assessment of the current distribution and abundance of T. gigas, maintaining the few remaining natural wetlands and the practice of rice agriculture in the Sacramento Valley, and studying the effects of agricultural practices and land use changes on populations of T. gigas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Copeia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Ichthyologists and Herpetologists","publisherLocation":"Lawrence, KS","usgsCitation":"Halstead, B., Wylie, G.D., and Casazza, M.L., 2010, Habitat suitability and conservation of the giant gartersnake (Thamnophis gigas) in the Sacramento Valley of California: Copeia, v. 2010, no. 4, p. 591-599.","productDescription":"9 p.","startPage":"591","endPage":"599","numberOfPages":"9","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204023,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24488,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.asihcopeiaonline.org/doi/abs/10.1643/CE-09-199","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","volume":"2010","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db64877a","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":348947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Glenn D. 0000-0002-7061-6658 glenn_wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":3052,"corporation":false,"usgs":true,"family":"Wylie","given":"Glenn","email":"glenn_wylie@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":348948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":348946,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003333,"text":"70003333 - 2010 - Assessment of PDMS-water partition coefficients: implications for passive environmental sampling of hydrophobic organic compounds","interactions":[],"lastModifiedDate":"2018-10-10T09:56:21","indexId":"70003333","displayToPublicDate":"2011-08-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of PDMS-water partition coefficients: implications for passive environmental sampling of hydrophobic organic compounds","docAbstract":"Solid-phase microextraction (SPME) has shown potential as an in situ passive-sampling technique in aquatic environments. The reliability of this method depends upon accurate determination of the partition coefficient between the fiber coating and water (K<sub>f</sub>). For some hydrophobic organic compounds (HOCs), K<sub>f</sub> values spanning 4 orders of magnitude have been reported for polydimethylsiloxane (PDMS) and water. However, 24% of the published data examined in this review did not pass the criterion for negligible depletion, resulting in questionable K<sub>f</sub> values. The range in reported K<sub>f</sub> is reduced to just over 2 orders of magnitude for some polychlorinated biphenyls (PCBs) when these questionable values are removed. Other factors that could account for the range in reported K<sub>f</sub>, such as fiber-coating thickness and fiber manufacturer, were evaluated and found to be insignificant. In addition to accurate measurement of K<sub>f</sub>, an understanding of the impact of environmental variables, such as temperature and ionic strength, on partitioning is essential for application of laboratory-measured K<sub>f</sub> values to field samples. To date, few studies have measured K<sub>f</sub> for HOCs at conditions other than at 20 degrees or 25 degrees C in distilled water. The available data indicate measurable variations in K<sub>f</sub> at different temperatures and different ionic strengths. Therefore, if the appropriate environmental variables are not taken into account, significant error will be introduced into calculated aqueous concentrations using this passive sampling technique. A multiparameter linear solvation energy relationship (LSER) was developed to estimate log K<sub>f</sub> in distilled water at 25 degrees C based on published physicochemical parameters. This method provided a good correlation (R2 = 0.94) between measured and predicted log K<sub>f</sub> values for several compound classes. Thus, an LSER approach may offer a reliable means of predicting log K<sub>f</sub> for HOCs whose experimental log K<sub>f</sub> values are presently unavailable. Future research should focus on understanding the impact of environmental variables on K<sub>f</sub>. Obtaining the data needed for an LSER approach to estimate K<sub>f</sub> for all environmentally relevant HOCs would be beneficial to the application of SPME as a passive-sampling technique.","language":"English","publisher":"American Chemical Society","publisherLocation":"Washington, D.C.","doi":"10.1021/es101103x","usgsCitation":"DiFilippo, E.L., and Eganhouse, R., 2010, Assessment of PDMS-water partition coefficients: implications for passive environmental sampling of hydrophobic organic compounds: Environmental Science & Technology, v. 44, no. 18, p. 6917-6925, https://doi.org/10.1021/es101103x.","productDescription":"9 p.","startPage":"6917","endPage":"6925","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":203858,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"18","noUsgsAuthors":false,"publicationDate":"2010-08-20","publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db67291f","contributors":{"authors":[{"text":"DiFilippo, Erica L.","contributorId":90449,"corporation":false,"usgs":true,"family":"DiFilippo","given":"Erica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":346920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eganhouse, Robert P. eganhous@usgs.gov","contributorId":2031,"corporation":false,"usgs":true,"family":"Eganhouse","given":"Robert P.","email":"eganhous@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":346919,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003743,"text":"70003743 - 2010 - Assessing transportation infrastructure impacts on rangelands: test of a standard rangeland assessment protocol","interactions":[],"lastModifiedDate":"2012-02-02T00:15:56","indexId":"70003743","displayToPublicDate":"2011-08-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Assessing transportation infrastructure impacts on rangelands: test of a standard rangeland assessment protocol","docAbstract":"Linear disturbances associated with on- and off-road vehicle use on rangelands has increased dramatically throughout the world in recent decades. This increase is due to a variety of factors including increased availability of all-terrain vehicles, infrastructure development (oil, gas, renewable energy, and ex-urban), and recreational activities. In addition to the direct impacts of road development, the presence and use of roads may alter resilience of adjoining areas through indirect effects such as altered site hydrologic and eolian processes, invasive seed dispersal, and sediment transport. There are few standardized methods for assessing impacts of transportation-related land-use activities on soils and vegetation in arid and semi-arid rangelands. Interpreting Indicators of Rangeland Health (IIRH) is an internationally accepted qualitative assessment that is applied widely to rangelands. We tested the sensitivity of IIRH to impacts of roads, trails, and pipelines on adjacent lands by surveying plots at three distances from these linear disturbances. We performed tests at 16 randomly selected sites in each of three ecosystems (Northern High Plains, Colorado Plateau, and Chihuahuan Desert) for a total of 208 evaluation plots. We also evaluated the repeatability of IIRH when applied to road-related disturbance gradients. Finally, we tested extent of correlations between IIRH plot attribute departure classes and trends in a suite of quantitative indicators. Results indicated that the IIRH technique is sensitive to direct and indirect impacts of transportation activities with greater departure from reference condition near disturbances than far from disturbances. Trends in degradation of ecological processes detected with qualitative assessments were highly correlated with quantitative data. Qualitative and quantitative assessments employed in this study can be used to assess impacts of transportation features at the plot scale. Through integration with remote sensing technologies, these methods could also potentially be used to assess cumulative impacts of transportation networks at the landscape scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rangeland Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Range Management","publisherLocation":"Wheat Ridge, CO","usgsCitation":"Duniway, M.C., Herrick, J.E., Pyke, D.A., and Toledo, D., 2010, Assessing transportation infrastructure impacts on rangelands: test of a standard rangeland assessment protocol: Rangeland Ecology and Management, v. 63, no. 5, p. 524-536.","productDescription":"13 p.","startPage":"524","endPage":"536","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":204143,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24473,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.srmjournals.org/doi/abs/10.2111/REM-D-09-00176.1?journalCode=rama","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"63","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db6729ec","contributors":{"authors":[{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":348624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":348625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":348623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toledo, David","contributorId":91228,"corporation":false,"usgs":true,"family":"Toledo","given":"David","affiliations":[],"preferred":false,"id":348626,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003399,"text":"70003399 - 2010 - Distribution patterns of wintering sea ducks in relation to the North Atlantic Oscillation and local environmental characteristics","interactions":[],"lastModifiedDate":"2012-02-02T00:15:55","indexId":"70003399","displayToPublicDate":"2011-08-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Distribution patterns of wintering sea ducks in relation to the North Atlantic Oscillation and local environmental characteristics","docAbstract":"Twelve species of North American sea ducks (Tribe Mergini) winter off the eastern coast of the United States and Canada. Yet, despite their seasonal proximity to urbanized areas in this region, there is limited information on patterns of wintering sea duck habitat use. It is difficult to gather information on sea ducks because of the relative inaccessibility of their offshore locations, their high degree of mobility, and their aggregated distributions. To characterize environmental conditions that affect wintering distributions, as well as their geographic ranges, we analyzed count data on five species of sea ducks (black scoters Melanitta nigra americana, surf scoters M. perspicillata, white-winged scoters M. fusca, common eiders Somateria mollissima, and long-tailed ducks Clangula hyemalis) that were collected during the Atlantic Flyway Sea Duck Survey for ten years starting in the early 1990s. We modeled count data for each species within ten-nautical-mile linear survey segments using a zero-inflated negative binomial model that included four local-scale habitat covariates (sea surface temperature, mean bottom depth, maximum bottom slope, and a variable to indicate if the segment was in a bay or not), one broad-scale covariate (the North Atlantic Oscillation), and a temporal correlation component. Our results indicate that species distributions have strong latitudinal gradients and consistency in local habitat use. The North Atlantic Oscillation was the only environmental covariate that had a significant (but variable) effect on the expected count for all five species, suggesting that broad-scale climatic conditions may be directly or indirectly important to the distributions of wintering sea ducks. Our results provide critical information on species-habitat associations, elucidate the complicated relationship between the North Atlantic Oscillation, sea surface temperature, and local sea duck abundances, and should be useful in assessing the impacts of climate change on seabirds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oecologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Netherlands","doi":"10.1007/s00442-010-1622-4","usgsCitation":"Zipkin, E., Gardner, B., Gilbert, A.T., O’Connell, A.F., Royle, J., and Silverman, E.D., 2010, Distribution patterns of wintering sea ducks in relation to the North Atlantic Oscillation and local environmental characteristics: Oecologia, v. 163, no. 4, p. 893-902, https://doi.org/10.1007/s00442-010-1622-4.","productDescription":"10 p.","startPage":"893","endPage":"902","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204112,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21676,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1007/s00442-010-1622-4","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"163","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-04","publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63f3a9","contributors":{"authors":[{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":347136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":347139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilbert, Andrew T.","contributorId":100974,"corporation":false,"usgs":true,"family":"Gilbert","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":347140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Silverman, Emily D.","contributorId":79220,"corporation":false,"usgs":true,"family":"Silverman","given":"Emily","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":347137,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003624,"text":"70003624 - 2010 - Ants as a measure of effectiveness of habitat conservation planning in southern California","interactions":[],"lastModifiedDate":"2021-01-12T13:51:20.413976","indexId":"70003624","displayToPublicDate":"2011-07-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ants as a measure of effectiveness of habitat conservation planning in southern California","docAbstract":"<p>In the United States multispecies habitat conservation plans were meant to be the solution to conflicts between economic development and protection of biological diversity. Although now widely applied, questions exist concerning the scientific credibility of the conservation planning process and effectiveness of the plans. We used ants to assess performance of one of the first regional conservation plans developed in the United States, the Orange County Central‐Coastal Natural Community Conservation Plan (NCCP), in meeting its broader conservation objectives of biodiversity and ecosystem‐level protection. We collected pitfall data on ants for over 3 years on 172 sites established across a network of conservation lands in coastal southern California. Although recovered native ant diversity for the study area was high, site‐occupancy models indicated the invasive and ecologically disruptive Argentine ant (<span>Linepithema humile</span>) was present at 29% of sites, and sites located within 200 m of urban and agricultural areas were more likely to have been invaded. Within invaded sites, native ants were largely displaced, and their median species richness declined by more than 60% compared with uninvaded sites. At the time of planning, 24% of the 15,133‐ha reserve system established by Orange County NCCP fell within 200 m of an urban or agricultural edge. With complete build out of lands surrounding the reserve, the proportion of the reserve system vulnerable to invasion will grow to 44%. Our data indicate that simply protecting designated areas from development is not enough. If habitat conservation plans are to fulfill their conservation promise of ecosystem‐level protection, a more‐integrated and systematic approach to the process of habitat conservation planning is needed<span>.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1523-1739.2010.01486.x","usgsCitation":"Mitrovich, M.J., Matsuda, T., Pease, K.H., and Fisher, R.N., 2010, Ants as a measure of effectiveness of habitat conservation planning in southern California: Conservation Biology, v. 24, no. 5, p. 1239-1248, https://doi.org/10.1111/j.1523-1739.2010.01486.x.","productDescription":"10 p.","startPage":"1239","endPage":"1248","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":382096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles, Irvine, Long Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.553466796875,\n              33.55970664841198\n            ],\n            [\n              -117.366943359375,\n              33.55970664841198\n            ],\n            [\n              -117.366943359375,\n              34.19817309627726\n            ],\n            [\n              -118.553466796875,\n              34.19817309627726\n            ],\n            [\n              -118.553466796875,\n              33.55970664841198\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-03-19","publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67af31","contributors":{"authors":[{"text":"Mitrovich, Milan J.","contributorId":88864,"corporation":false,"usgs":true,"family":"Mitrovich","given":"Milan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matsuda, Tritia","contributorId":10913,"corporation":false,"usgs":true,"family":"Matsuda","given":"Tritia","affiliations":[],"preferred":false,"id":347995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pease, Krista H.","contributorId":105034,"corporation":false,"usgs":true,"family":"Pease","given":"Krista","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":347997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":347994,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003761,"text":"70003761 - 2010 - Global positioning system and associated technologies in animal behaviour and ecological research","interactions":[],"lastModifiedDate":"2013-01-21T18:20:08","indexId":"70003761","displayToPublicDate":"2011-07-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Global positioning system and associated technologies in animal behaviour and ecological research","docAbstract":"Biologists can equip animals with global positioning system (GPS) technology to obtain accurate (less than or equal to 30 m) locations that can be combined with sensor data to study animal behaviour and ecology. We provide the background of GPS techniques that have been used to gather data for wildlife studies. We review how GPS has been integrated into functional systems with data storage, data transfer, power supplies, packaging and sensor technologies to collect temperature, activity, proximity and mortality data from terrestrial species and birds. GPS 'rapid fixing' technologies combined with sensors provide location, dive frequency and duration profiles, and underwater acoustic information for the study of marine species. We examine how these rapid fixing technologies may be applied to terrestrial and avian applications. We discuss positional data quality and the capability for high-frequency sampling associated with GPS locations. We present alternatives for storing and retrieving data by using dataloggers (biologging), radio-frequency download systems (e.g. very high frequency, spread spectrum), integration of GPS with other satellite systems (e.g. Argos, Globalstar) and potential new data recovery technologies (e.g. network nodes). GPS is one component among many rapidly evolving technologies. Therefore, we recommend that users and suppliers interact to ensure the availability of appropriate equipment to meet animal research objectives.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Philosophical Transactions of the Royal Society B: Biological Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Society Publishing","publisherLocation":"London, UK","doi":"10.1098/rstb.2010.0090","usgsCitation":"Tomkiewicz, S.M., Fuller, M.R., Kie, J.G., and Bates, K.K., 2010, Global positioning system and associated technologies in animal behaviour and ecological research: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 365, no. 1550, p. 2163-2176, https://doi.org/10.1098/rstb.2010.0090.","productDescription":"14 p.","startPage":"2163","endPage":"2176","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":475583,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc2894966","text":"External Repository"},{"id":203958,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266214,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rstb.2010.0090"}],"volume":"365","issue":"1550","noUsgsAuthors":false,"publicationDate":"2010-07-27","publicationStatus":"PW","scienceBaseUri":"4f4e4abee4b07f02db674939","contributors":{"authors":[{"text":"Tomkiewicz, Stanley M.","contributorId":57199,"corporation":false,"usgs":true,"family":"Tomkiewicz","given":"Stanley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":348746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Mark R. 0000-0001-7459-1729 mark_fuller@usgs.gov","orcid":"https://orcid.org/0000-0001-7459-1729","contributorId":2296,"corporation":false,"usgs":true,"family":"Fuller","given":"Mark","email":"mark_fuller@usgs.gov","middleInitial":"R.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":348744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kie, John G.","contributorId":87274,"corporation":false,"usgs":true,"family":"Kie","given":"John","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":348747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bates, Kirk K.","contributorId":43723,"corporation":false,"usgs":true,"family":"Bates","given":"Kirk","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":348745,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003556,"text":"70003556 - 2010 - An empirical test of the 'shark nursery area concept' in Texas bays using a long-term fisheries-independent data set","interactions":[],"lastModifiedDate":"2016-10-13T10:53:38","indexId":"70003556","displayToPublicDate":"2011-07-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":860,"text":"Aquatic Biology","active":true,"publicationSubtype":{"id":10}},"title":"An empirical test of the 'shark nursery area concept' in Texas bays using a long-term fisheries-independent data set","docAbstract":"Using a long-term fisheries-independent data set, we tested the 'shark nursery area concept' proposed by Heupel et al. (2007) with the suggested working assumptions that a shark nursery habitat would: (1) have an abundance of immature sharks greater than the mean abundance across all habitats where they occur; (2) be used by sharks repeatedly through time (years); and (3) see immature sharks remaining within the habitat for extended periods of time. We tested this concept using young-of-the-year (age 0) and juvenile (age 1+ yr) bull sharks Carcharhinus leucas from gill-net surveys conducted in Texas bays from 1976 to 2006 to estimate the potential nursery function of 9 coastal bays. Of the 9 bay systems considered as potential nursery habitat, only Matagorda Bay satisfied all 3 criteria for young-of-the-year bull sharks. Both Matagorda and San Antonio Bays met the criteria for juvenile bull sharks. Through these analyses we examined the utility of this approach for characterizing nursery areas and we also describe some practical considerations, such as the influence of the temporal or spatial scales considered when applying the nursery role concept to shark populations.","language":"English","publisher":"Inter-Research","doi":"10.3354/ab00290","usgsCitation":"Froeschke, J.T., Stunz, G., Sterba-Boatwright, B., and Wildhaber, M.L., 2010, An empirical test of the 'shark nursery area concept' in Texas bays using a long-term fisheries-independent data set: Aquatic Biology, v. 11, no. 1, p. 65-76, https://doi.org/10.3354/ab00290.","productDescription":"12 p.","startPage":"65","endPage":"76","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":475586,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/ab00290","text":"Publisher Index Page"},{"id":204019,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","volume":"11","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad8e4b07f02db684a76","contributors":{"authors":[{"text":"Froeschke, John T.","contributorId":101794,"corporation":false,"usgs":true,"family":"Froeschke","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":347720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stunz, Gregory W.","contributorId":51006,"corporation":false,"usgs":true,"family":"Stunz","given":"Gregory W.","affiliations":[],"preferred":false,"id":347718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sterba-Boatwright, Blair","contributorId":98866,"corporation":false,"usgs":true,"family":"Sterba-Boatwright","given":"Blair","email":"","affiliations":[],"preferred":false,"id":347719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":347717,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003639,"text":"70003639 - 2010 - Distribution and interplay of geologic processes on Titan from Cassini radar data","interactions":[],"lastModifiedDate":"2022-12-06T23:24:38.204528","indexId":"70003639","displayToPublicDate":"2011-07-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and interplay of geologic processes on Titan from Cassini radar data","docAbstract":"<p><span>The Cassini Titan Radar Mapper is providing an unprecedented view of Titan’s surface geology. Here we use Synthetic Aperture Radar (SAR) image swaths (Ta–T30) obtained from October 2004 to December 2007 to infer the geologic processes that have shaped Titan’s surface. These SAR swaths cover about 20% of the surface, at a spatial resolution ranging from ∼350</span><span>&nbsp;</span><span>m to ∼2</span><span>&nbsp;</span><span>km. The SAR data are distributed over a wide latitudinal and longitudinal range, enabling some conclusions to be drawn about the global distribution of processes. They reveal a geologically complex surface that has been modified by all the major geologic processes seen on Earth – volcanism, tectonism, impact cratering, and erosion and deposition by fluvial and aeolian activity. In this paper, we map geomorphological units from SAR data and analyze their areal distribution and relative ages of modification in order to infer the geologic evolution of Titan’s surface. We find that dunes and hummocky and mountainous terrains are more widespread than lakes, putative cryovolcanic features, mottled plains, and craters and crateriform structures that may be due to impact. Undifferentiated plains are the largest areal unit; their origin is uncertain. In terms of latitudinal distribution, dunes and hummocky and mountainous terrains are located mostly at low latitudes (less than 30°), with no dunes being present above 60°. Channels formed by fluvial activity are present at all latitudes, but lakes are at high latitudes only. Crateriform structures that may have been formed by impact appear to be uniformly distributed with latitude, but the well-preserved impact craters are all located at low latitudes, possibly indicating that more resurfacing has occurred at higher latitudes. Cryovolcanic features are not ubiquitous, and are mostly located between 30° and 60° north. We examine temporal relationships between units wherever possible, and conclude that aeolian and fluvial/pluvial/lacustrine processes are the most recent, while tectonic processes that led to the formation of mountains and Xanadu are likely the most ancient.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2009.08.010","usgsCitation":"Lopes, R.M., Stofan, E.R., Peckyno, R., Radebaugh, J., Mitchell, K.L., Mitri, G., Wood, C.A., Kirk, R.L., Wall, S.D., Lunine, J., Hayes, A., Lorenz, R., Farr, T., Wye, L., Craig, J., Ollerenshaw, R.J., Janssen, M., LeGall, A., Paganelli, F., West, R., Stiles, B., Callahan, P., Anderson, Y., Valora, P., and Soderblom, L., 2010, Distribution and interplay of geologic processes on Titan from Cassini radar data: Icarus, v. 205, no. 2, p. 540-558, https://doi.org/10.1016/j.icarus.2009.08.010.","productDescription":"19 p.","startPage":"540","endPage":"558","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":409500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Saturn, Titan","volume":"205","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a2cc","contributors":{"authors":[{"text":"Lopes, R. M. C.","contributorId":49506,"corporation":false,"usgs":false,"family":"Lopes","given":"R.","email":"","middleInitial":"M. C.","affiliations":[],"preferred":false,"id":348081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stofan, E. R.","contributorId":103403,"corporation":false,"usgs":false,"family":"Stofan","given":"E.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":348093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peckyno, R.","contributorId":51439,"corporation":false,"usgs":false,"family":"Peckyno","given":"R.","email":"","affiliations":[],"preferred":false,"id":348082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Radebaugh, J.","contributorId":34639,"corporation":false,"usgs":false,"family":"Radebaugh","given":"J.","affiliations":[],"preferred":false,"id":348076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, K. L.","contributorId":62734,"corporation":false,"usgs":false,"family":"Mitchell","given":"K.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":348088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitri, Giuseppe","contributorId":35052,"corporation":false,"usgs":false,"family":"Mitri","given":"Giuseppe","email":"","affiliations":[],"preferred":false,"id":348077,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, C. A.","contributorId":35057,"corporation":false,"usgs":false,"family":"Wood","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348078,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kirk, R. L.","contributorId":94698,"corporation":false,"usgs":true,"family":"Kirk","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":348092,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wall, S. D.","contributorId":86468,"corporation":false,"usgs":false,"family":"Wall","given":"S.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":348091,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lunine, J. I.","contributorId":51899,"corporation":false,"usgs":false,"family":"Lunine","given":"J. I.","affiliations":[],"preferred":false,"id":348083,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hayes, A.","contributorId":26415,"corporation":false,"usgs":true,"family":"Hayes","given":"A.","affiliations":[],"preferred":false,"id":348074,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lorenz, R.","contributorId":49503,"corporation":false,"usgs":true,"family":"Lorenz","given":"R.","affiliations":[],"preferred":false,"id":348080,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Farr, Tom","contributorId":24903,"corporation":false,"usgs":true,"family":"Farr","given":"Tom","affiliations":[],"preferred":false,"id":348073,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wye, L.","contributorId":40333,"corporation":false,"usgs":true,"family":"Wye","given":"L.","affiliations":[],"preferred":false,"id":348079,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Craig, J.","contributorId":70100,"corporation":false,"usgs":true,"family":"Craig","given":"J.","affiliations":[],"preferred":false,"id":348090,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ollerenshaw, R. J.","contributorId":55139,"corporation":false,"usgs":false,"family":"Ollerenshaw","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348085,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Janssen, M.","contributorId":22893,"corporation":false,"usgs":true,"family":"Janssen","given":"M.","email":"","affiliations":[],"preferred":false,"id":348072,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"LeGall, A.","contributorId":62735,"corporation":false,"usgs":true,"family":"LeGall","given":"A.","email":"","affiliations":[],"preferred":false,"id":348089,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Paganelli, F.","contributorId":17353,"corporation":false,"usgs":true,"family":"Paganelli","given":"F.","email":"","affiliations":[],"preferred":false,"id":348070,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"West, R.","contributorId":26996,"corporation":false,"usgs":true,"family":"West","given":"R.","email":"","affiliations":[],"preferred":false,"id":348075,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Stiles, B.","contributorId":59547,"corporation":false,"usgs":true,"family":"Stiles","given":"B.","email":"","affiliations":[],"preferred":false,"id":348086,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Callahan, P.","contributorId":22889,"corporation":false,"usgs":true,"family":"Callahan","given":"P.","email":"","affiliations":[],"preferred":false,"id":348071,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Anderson, Y.","contributorId":60369,"corporation":false,"usgs":true,"family":"Anderson","given":"Y.","email":"","affiliations":[],"preferred":false,"id":348087,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Valora, P.","contributorId":52706,"corporation":false,"usgs":true,"family":"Valora","given":"P.","email":"","affiliations":[],"preferred":false,"id":348084,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Soderblom, L.","contributorId":106244,"corporation":false,"usgs":true,"family":"Soderblom","given":"L.","affiliations":[],"preferred":false,"id":348094,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}}
,{"id":70003320,"text":"70003320 - 2010 - Genetic introgression and the survival of Florida panther kittens","interactions":[],"lastModifiedDate":"2017-01-11T16:54:12","indexId":"70003320","displayToPublicDate":"2011-07-20T01:00:00","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":"Genetic introgression and the survival of Florida panther kittens","docAbstract":"<p><span>Estimates of survival for the young of a species are critical for population models. These models can often be improved by determining the effects of management actions and population abundance on this demographic parameter. We used multiple sources of data collected during 1982–2008 and a live-recapture dead-recovery modeling framework to estimate and model survival of Florida panther (</span><i>Puma concolor coryi</i><span>) kittens (age 0–1&nbsp;year). Overall, annual survival of Florida panther kittens was 0.323&nbsp;±&nbsp;0.071 (SE), which was lower than estimates used in previous population models. In 1995, female pumas from Texas (</span><i>P. c. stanleyana</i><span>) were released into occupied panther range as part of an intentional introgression program to restore genetic variability. We found that kitten survival generally increased with degree of admixture: F</span><sub>1</sub><span> admixed and backcrossed to Texas kittens survived better than canonical Florida panther and backcrossed to canonical kittens. Average heterozygosity positively influenced kitten and older panther survival, whereas index of panther abundance negatively influenced kitten survival. Our results provide strong evidence for the positive population-level impact of genetic introgression on Florida panthers. Our approach to integrate data from multiple sources was effective at improving robustness as well as precision of estimates of Florida panther kitten survival, and can be useful in estimating vital rates for other elusive species with sparse data.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.biocon.2010.07.028","usgsCitation":"Hostetler, J.A., Onorato, D.P., Nichols, J., Johnson, W.E., Roelke, M.E., O’Brien, S.J., Jansen, D., and Oli, M.K., 2010, Genetic introgression and the survival of Florida panther kittens: Biological Conservation, v. 143, no. 11, p. 2789-2796, https://doi.org/10.1016/j.biocon.2010.07.028.","productDescription":"8 p.","startPage":"2789","endPage":"2796","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475587,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2989677","text":"External Repository"},{"id":203899,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"143","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aeb1f","contributors":{"authors":[{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":346884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onorato, David P.","contributorId":52704,"corporation":false,"usgs":true,"family":"Onorato","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":346887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":346883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Warren E.","contributorId":43903,"corporation":false,"usgs":true,"family":"Johnson","given":"Warren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":346886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roelke, Melody E.","contributorId":107022,"corporation":false,"usgs":true,"family":"Roelke","given":"Melody","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":346890,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Brien, Stephen J.","contributorId":74864,"corporation":false,"usgs":true,"family":"O’Brien","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":346888,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jansen, Deborah","contributorId":13360,"corporation":false,"usgs":true,"family":"Jansen","given":"Deborah","affiliations":[],"preferred":false,"id":346885,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oli, Madan K.","contributorId":86089,"corporation":false,"usgs":true,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":346889,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003714,"text":"70003714 - 2010 - An empirical model for global earthquake fatality estimation","interactions":[],"lastModifiedDate":"2017-08-15T11:14:12","indexId":"70003714","displayToPublicDate":"2011-07-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"An empirical model for global earthquake fatality estimation","docAbstract":"<p><span>We analyzed mortality rates of earthquakes worldwide and developed a country/region-specific empirical model for earthquake fatality estimation within the U.S. Geological Survey's Prompt Assessment of Global Earthquakes for Response (PAGER) system. The earthquake fatality rate is defined as total killed divided by total population exposed at specific shaking intensity level. The total fatalities for a given earthquake are estimated by multiplying the number of people exposed at each shaking intensity level by the fatality rates for that level and then summing them at all relevant shaking intensities. The fatality rate is expressed in terms of a two-parameter lognormal cumulative distribution function of shaking intensity. The parameters are obtained for each country or a region by minimizing the residual error in hindcasting the total shaking-related deaths from earthquakes recorded between 1973 and 2007. A new global regionalization scheme is used to combine the fatality data across different countries with similar vulnerability traits.</span></p>","language":"English","publisher":"Earthquake Engineering Research Inst.","publisherLocation":"Oakland, CA","doi":"10.1193/1.3480331","usgsCitation":"Jaiswal, K., and Wald, D., 2010, An empirical model for global earthquake fatality estimation: Earthquake Spectra, v. 26, no. 4, p. 1017-1037, https://doi.org/10.1193/1.3480331.","productDescription":"21 p.","startPage":"1017","endPage":"1037","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":475591,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1193/1.3480331","text":"Publisher Index Page"},{"id":204036,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-11-01","publicationStatus":"PW","scienceBaseUri":"4f4e4ad8e4b07f02db684aba","contributors":{"authors":[{"text":"Jaiswal, Kishor kjaiswal@usgs.gov","contributorId":861,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":348439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":26291,"corporation":false,"usgs":true,"family":"Wald","given":"David","affiliations":[],"preferred":false,"id":348440,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9000042,"text":"ds542 - 2010 - Archive of Sediment Data Collected around the Chandeleur Islands and Breton Island in 2007 and 1987 (Vibracore Surveys: 07SCC04, 07SCC05, and 87039)","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ds542","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"542","title":"Archive of Sediment Data Collected around the Chandeleur Islands and Breton Island in 2007 and 1987 (Vibracore Surveys: 07SCC04, 07SCC05, and 87039)","docAbstract":" In 2006 and 2007, the U.S. Geological Survey (USGS) and collaborators at the University of New Orleans (UNO) collected high-resolution seismic profiles and subsurface cores around the Chandeleur and Breton Islands, Louisiana (Study Area Map). To ground-truth the acoustic seismic surveys conducted in 2006, 124 vibracores were acquired during the 07SCC04 and 07SCC05 cruises in 2007. These cores were collected within the back-barrier, nearshore, and offshore environments. The surveys were conducted as part of a post-hurricane assessment and sediment resource inventory for the Barrier Island Coastal Monitoring (BICM) project. Vibracores were collected offshore using the USGS R/V G.K. Gilbert, while the terrestrial, back-barrier, and nearshore vibracores were collected from the UNO R/V Greenhead.\r\n\r\n   This report serves as an archive of sediment data from two concurrent vibracore surveys (cruises 07SCC04 and 07SCC05) from around the Breton and Chandeleur Islands in 2007 and also documents sediment data from vibracores collected offshore of the Chandeleur Islands in 1987 (cruise 87039). The 1987 vibracores were collected through the collaborated efforts of the USGS, Louisiana Geological Survey (LGS), and Alpine Ocean Seismic. Each vibracore can be identified by cruise and core number. ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds542","usgsCitation":"Dreher, C., Flocks, J.G., Kulp, M., and Ferina, N., 2010, Archive of Sediment Data Collected around the Chandeleur Islands and Breton Island in 2007 and 1987 (Vibracore Surveys: 07SCC04, 07SCC05, and 87039): U.S. Geological Survey Data Series 542, HTML Page; DVD, https://doi.org/10.3133/ds542.","productDescription":"HTML Page; DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":203648,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":19165,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/542/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.5,29.25 ], [ -89.5,30.25 ], [ -88.25,30.25 ], [ -88.25,29.25 ], [ -89.5,29.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af4e4b07f02db6920de","contributors":{"authors":[{"text":"Dreher, C.A.","contributorId":49502,"corporation":false,"usgs":true,"family":"Dreher","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":344101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, J. G.","contributorId":92309,"corporation":false,"usgs":true,"family":"Flocks","given":"J.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":344104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kulp, M.A.","contributorId":61138,"corporation":false,"usgs":true,"family":"Kulp","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":344102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferina, N.F.","contributorId":63140,"corporation":false,"usgs":true,"family":"Ferina","given":"N.F.","email":"","affiliations":[],"preferred":false,"id":344103,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003395,"text":"70003395 - 2010 - Conservation planning for imperiled aquatic species in an urbanizing environment","interactions":[],"lastModifiedDate":"2012-03-02T17:16:08","indexId":"70003395","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Conservation planning for imperiled aquatic species in an urbanizing environment","docAbstract":"As the global area devoted to urban uses grows, an increasing number of freshwater species will face imperilment due to urbanization effects. Management of these impacts on both private and public lands is necessary to ensure species persistence. Such management entails several hallenges: (1) development of a management policy appropriate to the stressors; (2) linking stressor levels to species population attributes; (3) forecasting the effects of alternative management policy decisions on the species, and (4) using adaptive management to adjust the policy in the future. We illustrate how these challenges were addressed under the Etowah Habitat Conservation Plan (Etowah HCP), a management plan for three federally protected fish species in Georgia, USA. The plan involved the creation of a management policy to address the impacts of the greatest stressor, stormwater runoff, as well as other stressors. Models were constructed to link population indices of the three species with a key indicator of stormwater runoff, effective impervious area (EIA). Then, models were applied to projected levels of EIA under full watershed buildout to fine-tune the parameters of the management policy. Forecasting indicated that the most sensitive species, the Etowah darter, was likely to decline by 84% in the absence of the Etowah HCP, but only 23% if the Etowah HCP were implemented. Although there was substantial uncertainty in model predictions, an adaptive management plan was established to incorporate new data and to adjust management policies as necessary.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape and Urban Planning","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.landurbplan.2010.04.006","usgsCitation":"Wenger, S.J., Freeman, M., Fowler, L.A., Freeman, B.J., and Peterson, J., 2010, Conservation planning for imperiled aquatic species in an urbanizing environment: Landscape and Urban Planning, v. 97, no. 1, p. 11-21, https://doi.org/10.1016/j.landurbplan.2010.04.006.","productDescription":"11 p.","startPage":"11","endPage":"21","numberOfPages":"11","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21674,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.landurbplan.2010.04.006","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"97","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697678","contributors":{"authors":[{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fowler, Laurie A.","contributorId":44277,"corporation":false,"usgs":true,"family":"Fowler","given":"Laurie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":347115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":347116,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":347113,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003894,"text":"70003894 - 2010 - Correlating seabird movements with ocean winds: linking satellite telemetry with ocean scatterometry.","interactions":[],"lastModifiedDate":"2012-03-02T17:16:08","indexId":"70003894","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Correlating seabird movements with ocean winds: linking satellite telemetry with ocean scatterometry.","docAbstract":"Satellite telemetry studies of the movements of seabirds are now common and have revealed impressive flight capabilities and extensive distributions among individuals and species at sea. Linking seabird movements with environmental conditions over vast expanses of the world's open ocean, however, remains difficult. Seabirds of the order Procellariiformes (e.g., petrels, albatrosses, and shearwaters) depend largely on wind and wave energy for efficient flight. We present a new method for quantifying the movements of far-ranging seabirds in relation to ocean winds measured by the SeaWinds scatterometer onboard the QuikSCAT satellite. We apply vector correlation (as defined by Crosby et al. in J Atm Ocean Tech 10:355-367, 1993) to evaluate how the trajectories (ground speed and direction) for five procellariiform seabirds outfitted with satellite transmitters are related to ocean winds. Individual seabirds (Sooty Shearwater, Pink-footed Shearwater, Hawaiian Petrel, Grey-faced Petrel, and Black-footed Albatross) all traveled predominantly with oblique, isotropic crossing to quartering tail-winds (i.e., 105-165 degrees in relation to birds' trajectory). For all five seabirds, entire track line trajectories were significantly correlated with co-located winds. Greatest correlations along 8-day path segments were related to wind patterns during birds' directed, long-range migration (Sooty Shearwater) as well as movements associated with mega-scale meteorological phenomena, including Pacific Basin anticyclones (Hawaiian Petrel, Grey-faced Petrel) and eastward-propagating north Pacific cyclones (Black-footed Albatross). Wind strength and direction are important factors related to the overall movements that delineate the distribution of petrels at sea. We suggest that vector correlation can be used to quantify movements for any marine vertebrate when tracking and environmental data (winds or currents) are of sufficient quality and sample size. Vector correlation coefficients can then be used to assess population--or species-specific variability and used to test specific hypotheses related to how animal movements are associated with fluid environments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Netherlands","usgsCitation":"Adams, J., and Flora, S., 2010, Correlating seabird movements with ocean winds: linking satellite telemetry with ocean scatterometry.: Marine Biology, v. 157, no. 4, p. 915-929.","productDescription":"15 p.","startPage":"915","endPage":"929","numberOfPages":"15","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204090,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24376,"rank":9999,"type":{"id":1,"text":"Abstract"},"url":"https://www.springerlink.com/content/n507147405615063/abstract/","linkFileType":{"id":5,"text":"html"}}],"volume":"157","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad8e4b07f02db68482a","contributors":{"authors":[{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":349341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flora, Stephanie","contributorId":12610,"corporation":false,"usgs":true,"family":"Flora","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":349342,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003459,"text":"70003459 - 2010 - Acute toxicity of diphacinone in Northern bobwhite: Effects on survival and blood clotting","interactions":[],"lastModifiedDate":"2018-10-18T10:27:30","indexId":"70003459","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Acute toxicity of diphacinone in Northern bobwhite: Effects on survival and blood clotting","docAbstract":"<p><span>The&nbsp;anticoagulant&nbsp;rodenticide&nbsp;diphacinone was slightly toxic (acute oral LD</span><sub>50</sub><span>&nbsp;2014</span><span>&nbsp;</span><span>mg/kg) to Northern bobwhite (</span><i>Colinus virginianus</i><span>) in a 14-day acute toxicity trial. Precise and sensitive assays of blood&nbsp;clotting&nbsp;(prothrombin time, Russell’s Viper venom time, and thrombin clotting time) were adapted for use in quail, and this combination of assays is recommended to measure the effects of anticoagulant rodenticides. A single oral sublethal dose of diphacinone (434</span><span>&nbsp;</span><span>mg/kg body weight) prolonged clotting time at 48</span><span>&nbsp;</span><span>h post-dose compared to controls. At 783</span><span>&nbsp;</span><span>mg/kg (approximate LD</span><sub>02</sub><span>), clotting time was prolonged at both 24 and 48</span><span>&nbsp;</span><span>h post-dose.&nbsp;Prolongation&nbsp;of&nbsp;</span><i>in vitro</i><span>&nbsp;clotting time reflects impaired&nbsp;coagulation&nbsp;complex activity, and was detected before overt signs of toxicity were apparent at the greatest dosages (2868 and 3666</span><span>&nbsp;</span><span>mg/kg) in the acute toxicity trial. These clotting time assays and toxicity data will assist in the development of a pharmacodynamic model to predict toxicity, and also facilitate rodenticide&nbsp;hazard and risk assessments&nbsp;in avian species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2010.05.021","usgsCitation":"Rattner, B.A., Horak, K., Warner, S.E., and Johnston, J.J., 2010, Acute toxicity of diphacinone in Northern bobwhite: Effects on survival and blood clotting: Ecotoxicology and Environmental Safety, v. 73, no. 6, p. 1159-1164, https://doi.org/10.1016/j.ecoenv.2010.05.021.","productDescription":"6 p.","startPage":"1159","endPage":"1164","numberOfPages":"6","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":204025,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"73","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699be1","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horak, Katherine E.","contributorId":58760,"corporation":false,"usgs":true,"family":"Horak","given":"Katherine E.","affiliations":[],"preferred":false,"id":347356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, Sarah E.","contributorId":39925,"corporation":false,"usgs":true,"family":"Warner","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":347355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnston, John J.","contributorId":86289,"corporation":false,"usgs":true,"family":"Johnston","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347357,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70004545,"text":"70004545 - 2010 - Comparative toxicity of diphacinone to northern bobwhite (Colinus virginianus) and American kestrels (Falco sparverius)","interactions":[],"lastModifiedDate":"2020-02-25T15:39:13","indexId":"70004545","displayToPublicDate":"2011-06-23T13:22:41","publicationYear":"2010","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"seriesTitle":{"id":438,"text":"Proceedings of the 24th Vertebrate Pest Conference","active":false,"publicationSubtype":{"id":12}},"title":"Comparative toxicity of diphacinone to northern bobwhite (Colinus virginianus) and American kestrels (Falco sparverius)","docAbstract":"The acute oral toxicity of the anticoagulant rodenticide diphacinone was found to be about 20 times greater to American kestrels (LD<sub>50</sub>=97 mg/kg) than to northern bobwhite (LD<sub>50</sub>=2,014 mg/kg). Several precise and sensitive clotting assays (prothrombin time, Russell's Viper venom time, thrombin clotting time) were adapted for use in these species, and this combination of assays is recommended to detect effects of diphacinone and other rodenticides on coagulation. Oral administration of diphacinone over a range of doses (sublethal to the extrapolated LD<sub>15</sub>) prolonged prothrombin time and Russell's Viper venom time within 24 to 48 hrs post-exposure. Prolongation of in vitro clotting time reflects impaired coagulation complex activity and was detected before or at the onset of overt signs of toxicity and lethality. These data will assist in the development of a pharmacodynamic model to assess and predict rodenticide toxicity to non-target avian species.","conferenceTitle":"Vertebrate Pest Conference","conferenceDate":"Febuary 22, 2010","conferenceLocation":"Sacramento, CA","language":"English","publisher":"University of California-Davis","publisherLocation":"Davis, CA","usgsCitation":"Rattner, B.A., Horak, K., Warner, S.E., Day, D.D., and Johnston, J.J., 2010, Comparative toxicity of diphacinone to northern bobwhite (Colinus virginianus) and American kestrels (Falco sparverius): Proceedings of the 24th Vertebrate Pest Conference, v. 24, 7 p.","productDescription":"7 p.","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":203912,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21834,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://nebraskamaps.unl.edu/productcart/pc/viewPrd.asp?idproduct=12499&idcategory=","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"24","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae4b2","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":350673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horak, Katherine E.","contributorId":58760,"corporation":false,"usgs":true,"family":"Horak","given":"Katherine E.","affiliations":[],"preferred":false,"id":350676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, Sarah E.","contributorId":39925,"corporation":false,"usgs":true,"family":"Warner","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":350675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Daniel D. 0000-0001-9070-7170 dday@usgs.gov","orcid":"https://orcid.org/0000-0001-9070-7170","contributorId":33440,"corporation":false,"usgs":true,"family":"Day","given":"Daniel","email":"dday@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":350674,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnston, John J.","contributorId":86289,"corporation":false,"usgs":true,"family":"Johnston","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":350677,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003325,"text":"70003325 - 2010 - Changes in the timing of snowmelt and streamflow in Colorado: A response to recent warming","interactions":[],"lastModifiedDate":"2017-01-18T13:22:09","indexId":"70003325","displayToPublicDate":"2011-06-20T13:50:03","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Changes in the timing of snowmelt and streamflow in Colorado: A response to recent warming","docAbstract":"Trends in the timing of snowmelt and associated runoff in Colorado were evaluated for the 1978-2007 water years using the regional Kendall test (RKT) on daily snow-water equivalent (SWE) data from snowpack telemetry (SNOTEL) sites and daily streamflow data from headwater streams. The RKT is a robust, nonparametric test that provides an increased power of trend detection by grouping data from multiple sites within a given geographic region. The RKT analyses indicated strong, pervasive trends in snowmelt and streamflow timing, which have shifted toward earlier in the year by a median of 2-3 weeks over the 29-yr study period. In contrast, relatively few statistically significant trends were detected using simple linear regression. RKT analyses also indicated that November-May air temperatures increased by a median of 0.9 degrees C decade<sup>-1</sup>, while 1 April SWE and maximum SWE declined by a median of 4.1 and 3.6 cm decade<sup>-1</sup>, respectively. Multiple linear regression models were created, using monthly air temperatures, snowfall, latitude, and elevation as explanatory variables to identify major controlling factors on snowmelt timing. The models accounted for 45% of the variance in snowmelt onset, and 78% of the variance in the snowmelt center of mass (when half the snowpack had melted). Variations in springtime air temperature and SWE explained most of the interannual variability in snowmelt timing. Regression coefficients for air temperature were negative, indicating that warm temperatures promote early melt. Regression coefficients for SWE, latitude, and elevation were positive, indicating that abundant snowfall tends to delay snowmelt, and snowmelt tends to occur later at northern latitudes and high elevations. Results from this study indicate that even the mountains of Colorado, with their high elevations and cold snowpacks, are experiencing substantial shifts in the timing of snowmelt and snowmelt runoff toward earlier in the year.","language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/2009JCLI2951.1","usgsCitation":"Clow, D.W., 2010, Changes in the timing of snowmelt and streamflow in Colorado: A response to recent warming: Journal of Climate, v. 23, no. 9, p. 2293-2306, https://doi.org/10.1175/2009JCLI2951.1.","productDescription":"14 p.","startPage":"2293","endPage":"2306","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":475593,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2009jcli2951.1","text":"Publisher Index Page"},{"id":204062,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,37 ], [ -109,41 ], [ -104,41 ], [ -104,37 ], [ -109,37 ] ] ] } } ] }","volume":"23","issue":"9","noUsgsAuthors":false,"publicationDate":"2010-05-01","publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e69a6","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":346901,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003404,"text":"70003404 - 2010 - Change in avian abundance predicted from regional forest inventory data","interactions":[],"lastModifiedDate":"2012-02-02T00:15:54","indexId":"70003404","displayToPublicDate":"2011-06-17T16:50:03","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Change in avian abundance predicted from regional forest inventory data","docAbstract":"An inability to predict population response to future habitat projections is a shortcoming in bird conservation planning. We sought to predict avian response to projections of future forest conditions that were developed from nationwide forest surveys within the Forest Inventory and Analysis (FIA) program. To accomplish this, we evaluated the historical relationship between silvicolous bird populations and FIA-derived forest conditions within 25 ecoregions that comprise the southeastern United States. We aggregated forest area by forest ownership, forest type, and tree size-class categories in county-based ecoregions for 5 time periods spanning 1963-2008. We assessed the relationship of forest data with contemporaneous indices of abundance for 24 silvicolous bird species that were obtained from Breeding Bird Surveys. Relationships between bird abundance and forest inventory data for 18 species were deemed sufficient as predictive models. We used these empirically derived relationships between regional forest conditions and bird populations to predict relative changes in abundance of these species within ecoregions that are anticipated to coincide with projected changes in forest variables through 2040. Predicted abundances of these 18 species are expected to remain relatively stable in over a quarter (27%) of the ecoregions. However, change in forest area and redistribution of forest types will likely result in changed abundance of some species within many ecosystems. For example, abundances of 11 species, including pine warbler (Dendroica pinus), brown-headed nuthatch (Sitta pusilla), and chuckwills- widow (Caprimulgus carolinensis), are projected to increase within more ecoregions than ecoregions where they will decrease. For 6 other species, such as blue-winged warbler (Vermivora pinus), Carolina wren (Thryothorus ludovicianus), and indigo bunting (Passerina cyanea), we projected abundances will decrease within more ecoregions than ecoregions where they will increase.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.foreco.2010.07.027","usgsCitation":"Twedt, D.J., Tirpak, J.M., Jones-Farrand, D., Thompson, F.R., Uihlein, W.B., and Fitzgerald, J., 2010, Change in avian abundance predicted from regional forest inventory data: Forest Ecology and Management, v. 260, no. 7, p. 1241-1250, https://doi.org/10.1016/j.foreco.2010.07.027.","productDescription":"10 p.","startPage":"1241","endPage":"1250","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":203821,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21679,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1016/j.foreco.2010.07.027","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"260","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e0e4b07f02db5e3f92","contributors":{"authors":[{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tirpak, John M.","contributorId":85704,"corporation":false,"usgs":true,"family":"Tirpak","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":347163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones-Farrand, D. Todd","contributorId":54713,"corporation":false,"usgs":true,"family":"Jones-Farrand","given":"D. Todd","affiliations":[],"preferred":false,"id":347160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Frank R. III","contributorId":12608,"corporation":false,"usgs":true,"family":"Thompson","given":"Frank","suffix":"III","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":347159,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Uihlein, William B.","contributorId":76058,"corporation":false,"usgs":true,"family":"Uihlein","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":347161,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fitzgerald, Jane A.","contributorId":76446,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Jane A.","affiliations":[],"preferred":false,"id":347162,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":99256,"text":"sir20105230 - 2010 - Geohydrology of the stratified-drift aquifer system in the lower Sixmile Creek and Willseyville Creek trough, Tompkins County, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20105230","displayToPublicDate":"2011-05-11T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5230","title":"Geohydrology of the stratified-drift aquifer system in the lower Sixmile Creek and Willseyville Creek trough, Tompkins County, New York","docAbstract":"In 2002, the U.S. Geological Survey, in cooperation with the Tompkins County Planning Department began a series of studies of the stratified-drift aquifers in Tompkins County to provide geohydrologic data for planners to develop a strategy to manage and protect their water resources. This aquifer study in lower Sixmile Creek and Willseyville Creek trough is the second in a series of aquifer studies in Tompkins County. The study area is within the northern area of the Appalachian Plateau and extends about 9 miles from the boundary between Tompkins County and Tioga County in the south to just south of the City of Ithaca in the north. In lower Sixmile Creek and Willseyville Creek trough, confined sand and gravel aquifers comprise the major water-bearing units while less extensive unconfined units form minor aquifers.\r\n\r\nAbout 600 people who live in lower Sixmile Creek and Willseyville Creek trough rely on groundwater from the stratified-drift aquifer system. In addition, water is used by non-permanent residents such as staff at commercial facilities. The estimated total groundwater withdrawn for domestic use is about 45,000 gallons per day (gal/d) or 0.07 cubic foot per second (ft3/s) based on an average water use of 75 gal/d per person for self-supplied water systems in New York.\r\n\r\nScouring of bedrock in the preglacial lower Sixmile Creek and Willseyville Creek valleys by glaciers and subglacial meltwaters truncated hillside spurs, formed U-shaped, transverse valley profiles, smoothed valley walls, and deepened the valleys by as much as 300 feet (ft), forming a continuous trough. The unconsolidated deposits in the study area consist mostly of glacial drift, both unstratified drift (till) and stratified drift (laminated lake, deltaic, and glaciofluvial sediments), as well as some post-glacial stratified sediments (lake-bottom sediments that were deposited in reservoirs, peat and muck that were deposited in wetlands, and alluvium deposited by streams). Multiple advances and retreats of the ice in the study area resulted in several sequences of various types of glacial deposits. A large moraine (Valley Heads Moraine) dominates the southern part of the study area, a large delta dominates the central part, and ground moraine (mostly till) dominates the northern part. Glacial sediments in the center of the lower Sixmile Creek and Willseyville Creek trough typically range from 150 to 200 ft but can be greater than 300 ft in some places. Where the sediments are composed of sand and gravel they form aquifers.\r\n\r\nIn most parts of the lower Sixmile Creek and Willseyville Creek trough, there is an upper and a basal confined aquifer. However, underlying the central parts of the Brooktondale delta, there are as many as four confined aquifers, whereas in the northern part of the study area, only one extensive confined aquifer is present. The major sources of recharge to these confined aquifers are (1) direct infiltration of precipitation where confined aquifers crop out at land surface (mostly along the western trough wall in the southern and central parts of the study area and, to a lesser degree, along the eastern trough wall); (2) unchanneled surface and subsurface runoff from adjacent upland areas that seeps into the aquifer along the western trough walls; (3) subsurface flow from underlying till or bedrock at the lateral contacts at trough walls; (4) adjacent fine-grained stratified drift, especially when the aquifer is pumped; and (5) discharge from bedrock at the bottom and sides of the trough.\r\n\r\nIn the central part of the study area, the surficial coarse-grained sediments (sand and gravel) comprise a delta near Brooktondale and form a small unconfined aquifer (0.3 square mile). Although much of the upper part of the delta has been removed by several aggregate mining operations, sufficient amounts of sand and gravel remain in most places to form a thin unconfined aquifer. The major sources of recharge to the unconfined aquifer are (1)","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105230","collaboration":"Prepared in cooperation with the Town of Caroline and the Tompkins County Planning Department\r\n","usgsCitation":"Miller, T.S., and Karig, D.E., 2010, Geohydrology of the stratified-drift aquifer system in the lower Sixmile Creek and Willseyville Creek trough, Tompkins County, New York: U.S. Geological Survey Scientific Investigations Report 2010-5230, vi, 47 p.; Appendices, https://doi.org/10.3133/sir20105230.","productDescription":"vi, 47 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116980,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5230.gif"},{"id":14672,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5230/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8834","contributors":{"authors":[{"text":"Miller, Todd S. tsmiller@usgs.gov","contributorId":1190,"corporation":false,"usgs":true,"family":"Miller","given":"Todd","email":"tsmiller@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karig, Daniel E.","contributorId":98739,"corporation":false,"usgs":true,"family":"Karig","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9001462,"text":"sir20105186 - 2010 - Simulation of groundwater flow to assess future withdrawals associated with Base Realignment and Closure (BRAC) at Fort George G. Meade, Maryland","interactions":[],"lastModifiedDate":"2023-03-10T12:41:05.055917","indexId":"sir20105186","displayToPublicDate":"2011-04-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5186","title":"Simulation of groundwater flow to assess future withdrawals associated with Base Realignment and Closure (BRAC) at Fort George G. Meade, Maryland","docAbstract":"Increased groundwater withdrawals from confined aquifers in the Maryland Coastal Plain to supply anticipated growth at Fort George G. Meade (Fort Meade) and surrounding areas resulting from the Department of Defense Base Realignment and Closure Program may have adverse effects in the outcrop or near-outcrop areas. Specifically, increased pumping from the Potomac Group aquifers (principally the Patuxent aquifer) could potentially reduce base flow in small streams below rates necessary for healthy biological functioning. Additionally, water levels may be lowered near, or possibly below, the top of the aquifer within the confined-unconfined transition zone near the outcrop area. A three-dimensional groundwater flow model was created to incorporate and analyze data on water withdrawals, streamflow, and hydraulic head in the region. The model is based on an earlier model developed to assess the effects of future withdrawals from well fields in Anne Arundel County, Maryland and surrounding areas, and includes some of the same features, including model extent, boundary conditions, and vertical discretization (layering). The resolution (horizontal grid discretization) of the earlier model limited its ability to simulate the effects of withdrawals on the outcrop and near-outcrop areas. The model developed for this study included a block-shaped higher-resolution local grid, referred to as the child model, centered on Fort Meade, which was coupled to the coarser-grid parent model using the shared node Local Grid Refinement capability of MODFLOW-LGR. A more detailed stream network was incorporated into the child model. In addition, for part of the transient simulation period, stress periods were reduced in length from 1 year to 3 months, to allow for simulation of the effects of seasonally varying withdrawals and recharge on the groundwater-flow system and simulated streamflow. This required revision of the database on withdrawals and estimation of seasonal variations in recharge represented in the earlier model. The calibrated model provides a tool for future forecasts of changes in the system under different management scenarios, and for simulating potential effects of withdrawals at Fort Meade and the surrounding area on water levels in the near-outcrop area and base flow in the outcrop area. Model error was assessed by comparing observed and simulated water levels from 62 wells (55 in the parent model and 7 in the child model). The root-mean-square error values for the parent and child model were 8.72 and 11.91 feet, respectively. Root-mean-square error values for the 55 parent model observation wells range from 0.95 to 30.31 feet; the range for the 7 child model observation wells is 5.00 to 24.17 feet. Many of the wells with higher root-mean-square error values occur at the perimeter of the child model and near large pumping centers, as well as updip in the confined aquifers. Root-mean-square error values decrease downdip and away from the large pumping centers. Both the parent and child models are sensitive to increasing withdrawal rates. The parent model is more sensitive than the child model to decreasing transmissivity of layers 3, 4, 5, and 6. The parent model is relatively insensitive to riverbed vertical conductance, however, the child model does exhibit some sensitivity to decreasing riverbed conductance. The overall water budget for the model included sources and sinks of water including recharge, surface-water bodies and rivers and streams, general-head boundaries, and withdrawals from permitted wells. Withdrawal from wells in 2005 was estimated to be equivalent to 8.5 percent of the total recharge rate.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105186","collaboration":"Prepared in cooperation with the\r\nMaryland Department of the Environment","usgsCitation":"Raffensperger, J.P., Fleming, B.J., Banks, W.S., Horn, M.A., Nardi, M.R., and Andreasen, D., 2010, Simulation of groundwater flow to assess future withdrawals associated with Base Realignment and Closure (BRAC) at Fort George G. Meade, Maryland: U.S. Geological Survey Scientific Investigations Report 2010-5186, v, 39 p., https://doi.org/10.3133/sir20105186.","productDescription":"v, 39 p.","numberOfPages":"48","additionalOnlineFiles":"N","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":116720,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5186.gif"},{"id":19255,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5186/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f7e4b07f02db5f2362","contributors":{"authors":[{"text":"Raffensperger, Jeff P. 0000-0001-9275-6646 jpraffen@usgs.gov","orcid":"https://orcid.org/0000-0001-9275-6646","contributorId":199119,"corporation":false,"usgs":true,"family":"Raffensperger","given":"Jeff","email":"jpraffen@usgs.gov","middleInitial":"P.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, Brandon J. 0000-0001-9649-7485 bjflemin@usgs.gov","orcid":"https://orcid.org/0000-0001-9649-7485","contributorId":4115,"corporation":false,"usgs":true,"family":"Fleming","given":"Brandon","email":"bjflemin@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banks, William S.L.","contributorId":35281,"corporation":false,"usgs":true,"family":"Banks","given":"William","email":"","middleInitial":"S.L.","affiliations":[],"preferred":false,"id":344537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horn, Marilee A. mhorn@usgs.gov","contributorId":2792,"corporation":false,"usgs":true,"family":"Horn","given":"Marilee","email":"mhorn@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nardi, Mark R. 0000-0002-7310-8050 mrnardi@usgs.gov","orcid":"https://orcid.org/0000-0002-7310-8050","contributorId":1859,"corporation":false,"usgs":true,"family":"Nardi","given":"Mark","email":"mrnardi@usgs.gov","middleInitial":"R.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344533,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andreasen, David C.","contributorId":59003,"corporation":false,"usgs":true,"family":"Andreasen","given":"David C.","affiliations":[],"preferred":false,"id":344538,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":9001431,"text":"fs20103115 - 2010 - Environmental investigations using diatom microfossils","interactions":[],"lastModifiedDate":"2017-10-11T10:33:35","indexId":"fs20103115","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3115","title":"Environmental investigations using diatom microfossils","docAbstract":"Diatoms are unicellular phytoplankton (microscopic plant-like organisms) with cell walls made of silica (called a frustule). They live in both freshwater and saltwater and can be found in just about every place on Earth that is wet. The shape and morphology of the diatom frustule unique to each species are used for identification. Due to the microscopic size of diatoms, high-power microscopy is required for diatom identification. Diatoms are vital to life on Earth. They are photosynthetic primary producers, using sunlight to create oxygen and organic carbon from carbon dioxide and water. They are a significant source of the oxygen we breathe, have a major impact on the global carbon cycle (Smetacek, 1999), and are a food source for many aquatic organisms (Mann, 1993). Diatom abundance has even been demonstrated to have an influence on the diversity of larger marine mammals, including whales (Marx and Uhen, 2010). Data on diatom abundance and diversity are extremely useful in environmental studies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103115","usgsCitation":"Smith, K., and Flocks, J.G., 2010, Environmental investigations using diatom microfossils: U.S. Geological Survey Fact Sheet 2010-3115, 2 p., https://doi.org/10.3133/fs20103115.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116269,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3115.jpg"},{"id":19239,"rank":200,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3115/","linkFileType":{"id":5,"text":"html"}},{"id":346495,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2010/3115/pdf/FS2010-3115.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94,29.5 ], [ -94,31 ], [ -92,31 ], [ -92,29.5 ], [ -94,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a13e4b07f02db6022a3","contributors":{"authors":[{"text":"Smith, Kathryn E. L.","contributorId":20860,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn E. L.","affiliations":[],"preferred":false,"id":344469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344468,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99104,"text":"sir20105203 - 2010 - Use of acoustic backscatter and vertical velocity to estimate concentration and dynamics of suspended solids in Upper Klamath Lake, south-central Oregon: Implications for Aphanizomenon flos-aquae","interactions":[],"lastModifiedDate":"2024-10-30T21:26:47.67871","indexId":"sir20105203","displayToPublicDate":"2011-03-18T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5203","displayTitle":"Use of acoustic backscatter and vertical velocity to estimate concentration and dynamics of suspended solids in Upper Klamath Lake, south-central Oregon: Implications for <i>Aphanizomenon flos-aquae</i>","title":"Use of acoustic backscatter and vertical velocity to estimate concentration and dynamics of suspended solids in Upper Klamath Lake, south-central Oregon: Implications for Aphanizomenon flos-aquae","docAbstract":"<p><span>Vertical velocity and acoustic backscatter measurements by acoustic Doppler current profilers were used to determine seasonal, subseasonal (days to weeks), and diel variation in suspended solids in a freshwater lake where massive cyanobacterial blooms occur annually. During the growing season, the suspended material in the lake is dominated by the buoyancy-regulating cyanobacteria,&nbsp;</span><i>Aphanizomenon flos-aquae</i><span>. Measured variables (water velocity, relative backscatter [</span><i>RB</i><span>], wind speed, and air and water temperatures) were averaged over the deployment season at each sample time of day to determine average diel cycles. Phase shifts between diel cycles in&nbsp;</span><i>RB</i><span>&nbsp;and diel cycles in wind speed, vertical water temperature differences (Δ</span><i>T°</i><span>), and horizontal current speeds were found by determining the lead or lag that maximized the linear correlation between the respective diel cycles. Diel cycles in&nbsp;</span><i>RB</i><span>&nbsp;were more in phase with Δ</span><i>T°<span>&nbsp;</span></i><span>cycles, and, to a lesser extent, wind cycles, than to water current cycles but were out of phase with the cycle that would be expected if the vertical movement of buoyant cyanobacteria colonies was controlled primarily by light. Clear evidence of a diel cycle in vertical velocity was found only at the two deepest sites in the lake. Cycles of vertical velocity, where present, were out of phase with expected vertical motion of cyanobacterial colonies based on the theoretical cycle for light-driven vertical movement. This suggests that water column stability and turbulence were more important factors in controlling vertical distribution of colonies than light. Variations at subseasonal time scales were determined by filtering data to pass periods between 1.2 and 15 days. At subseasonal time scales, correlations between&nbsp;</span><i>RB</i><span>&nbsp;and currents or air temperature were consistent with increased concentration of cyanobacterial colonies near the surface when&nbsp; water column stability increased (higher air temperatures or weaker currents) and dispersal of colonies throughout the water column when the water column mixed more easily.&nbsp;</span><i>RB</i><span>&nbsp;was used to estimate suspended solids concentrations (SSC). Correlations of depth-integrated SSC with currents or air temperatures suggest that depth-integrated water column mass decreased under conditions of greater water column stability and weaker currents. Results suggest that the use of measured vertical velocity and acoustic backscatter as a surrogate for suspended material has the potential to contribute significant additional insight into dynamics of&nbsp;</span><i>Aphanizomenon flos-aquae</i><span>&nbsp;colonies in Upper Klamath Lake, south-central Oregon.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105203","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Wood, T.M., and Gartner, J.W., 2010, Use of acoustic backscatter and vertical velocity to estimate concentration and dynamics of suspended solids in Upper Klamath Lake, south-central Oregon: Implications for Aphanizomenon flos-aquae: U.S. Geological Survey Scientific Investigations Report 2010-5203, iv, 20 p., https://doi.org/10.3133/sir20105203.","productDescription":"iv, 20 p.","additionalOnlineFiles":"N","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":116976,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5203.jpg"},{"id":14555,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5203/","linkFileType":{"id":5,"text":"html"}},{"id":463453,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95058.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.15396175815798,\n              42.62615518733577\n            ],\n            [\n              -122.15396175815798,\n              42.212952663319186\n            ],\n            [\n              -121.72962558615681,\n              42.212952663319186\n            ],\n            [\n              -121.72962558615681,\n              42.62615518733577\n            ],\n            [\n              -122.15396175815798,\n              42.62615518733577\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dae4b07f02db5e00ab","contributors":{"authors":[{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, Jeffrey W.","contributorId":77524,"corporation":false,"usgs":true,"family":"Gartner","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":307579,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003387,"text":"70003387 - 2010 - An integrated sampling and analysis approach for improved biodiversity monitoring","interactions":[],"lastModifiedDate":"2021-01-15T13:32:05.463547","indexId":"70003387","displayToPublicDate":"2011-03-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"An integrated sampling and analysis approach for improved biodiversity monitoring","docAbstract":"<p><span>Successful biodiversity conservation requires high quality monitoring data and analyses to ensure scientifically defensible policy, legislation, and management. Although monitoring is a critical component in assessing population status and trends, many governmental and non-governmental organizations struggle to develop and implement effective sampling protocols and statistical analyses because of the magnitude and diversity of species in conservation concern. In this article we describe a practical and sophisticated data collection and analysis framework for developing a comprehensive wildlife monitoring program that includes multi-species inventory techniques and community-level hierarchical modeling. Compared to monitoring many species individually, the multi-species approach allows for improved estimates of individual species occurrences, including rare species, and an increased understanding of the aggregated response of a community to landscape and habitat heterogeneity. We demonstrate the benefits and practicality of this approach to address challenges associated with monitoring in the context of US state agencies that are legislatively required to monitor and protect species in greatest conservation need. We believe this approach will be useful to regional, national, and international organizations interested in assessing the status of both common and rare species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-010-9457-7","usgsCitation":"DeWan, A.A., and Zipkin, E., 2010, An integrated sampling and analysis approach for improved biodiversity monitoring: Environmental Management, v. 45, no. 5, p. 1223-1230, https://doi.org/10.1007/s00267-010-9457-7.","productDescription":"8 p.","startPage":"1223","endPage":"1230","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":382193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-03-17","publicationStatus":"PW","scienceBaseUri":"4f4e4ad7e4b07f02db6845aa","contributors":{"authors":[{"text":"DeWan, Amielle A.","contributorId":24486,"corporation":false,"usgs":true,"family":"DeWan","given":"Amielle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":347089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":347090,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99092,"text":"ofr20101266 - 2010 - Computer simulation of reservoir depletion and oil flow from the Macondo well following the Deepwater Horizon blowout","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"ofr20101266","displayToPublicDate":"2011-03-12T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1266","title":"Computer simulation of reservoir depletion and oil flow from the Macondo well following the Deepwater Horizon blowout","docAbstract":"This report describes the application of a computer model to simulate reservoir depletion and oil flow from the Macondo well following the Deepwater Horizon blowout. Reservoir and fluid data used for model development are based on (1) information released in BP's investigation report of the incident, (2) information provided by BP personnel during meetings in Houston, Texas, and (3) calibration by history matching to shut-in pressures measured in the capping stack during the Well Integrity Test. The model is able to closely match the measured shut-in pressures. In the simulation of the 86-day period from the blowout to shut in, the simulated reservoir pressure at the well face declines from the initial reservoir pressure of 11,850 pounds per square inch (psi) to 9,400 psi. After shut in, the simulated reservoir pressure recovers to a final value of 10,300 psi. The pressure does not recover back to the initial pressure owing to reservoir depletion caused by 86 days of oil discharge. The simulated oil flow rate declines from 63,600 stock tank barrels per day just after the Deepwater Horizon blowout to 52,600 stock tank barrels per day just prior to shut in. The simulated total volume of oil discharged is 4.92 million stock tank barrels. The overall uncertainty in the simulated flow rates and total volume of oil discharged is estimated to be + or - 10 percent. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101266","usgsCitation":"Hsieh, P., 2010, Computer simulation of reservoir depletion and oil flow from the Macondo well following the Deepwater Horizon blowout: U.S. Geological Survey Open-File Report 2010-1266, 18 p., https://doi.org/10.3133/ofr20101266.","productDescription":"18 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":116962,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1266.gif"},{"id":14542,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1266/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92,28.5 ], [ -92,30 ], [ -88,30 ], [ -88,28.5 ], [ -92,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a5453","contributors":{"authors":[{"text":"Hsieh, Paul","contributorId":14558,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","affiliations":[],"preferred":false,"id":307533,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99045,"text":"ofr20101276 - 2010 - An initial SPARROW model of land use and in-stream controls on total organic carbon in streams of the conterminous United States","interactions":[],"lastModifiedDate":"2024-07-17T21:54:29.073692","indexId":"ofr20101276","displayToPublicDate":"2011-02-12T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1276","title":"An initial SPARROW model of land use and in-stream controls on total organic carbon in streams of the conterminous United States","docAbstract":"Watersheds play many important roles in the carbon cycle: (1) they are a site for both terrestrial and aquatic carbon dioxide (CO2) removal through photosynthesis; (2) they transport living and decomposing organic carbon in streams and groundwater; and (3) they store organic carbon for widely varying lengths of time as a function of many biogeochemical factors. Using the U.S. Geological Survey (USGS) Spatially Referenced Regression on Watershed Attributes (SPARROW) model, along with long-term monitoring data on total organic carbon (TOC), this research quantitatively estimates the sources, transport, and fate of the long-term mean annual load of TOC in streams of the conterminous United States. The model simulations use surrogate measures of the major terrestrial and aquatic sources of organic carbon to estimate the long-term mean annual load of TOC in streams. \r\n\r\nThe estimated carbon sources in the model are associated with four land uses (urban, cultivated, forest, and wetlands) and autochthonous fixation of carbon (stream photosynthesis). Stream photosynthesis is determined by reach-level application of an empirical model of stream chlorophyll based on total phosphorus concentration, and a mechanistic model of photosynthetic rate based on chlorophyll, average daily solar irradiance, water column light attenuation, and reach dimensions. It was found that the estimate of in-stream photosynthesis is a major contributor to the mean annual TOC load per unit of drainage area (that is, yield) in large streams, with a median share of about 60 percent of the total mean annual carbon load in streams with mean flows above 500 cubic feet per second. The interquartile range of the model predictions of TOC from in-stream photosynthesis is from 0.1 to 0.4 grams (g) carbon (C) per square meter (m-2) per day (day-1) for the approximately 62,000 stream reaches in the continental United States, which compares favorably with the reported literature range for net carbon fixation by phytoplankton in lakes and streams. The largest contributors per unit of drainage area to the mean annual stream TOC load among the terrestrial sources are, in descending order: wetlands, urban lands, mixed forests, agricultural lands, evergreen forests, and deciduous forests . It was found that the SPARROW model estimates of TOC contributions to streams associated with these land uses are also consistent with literature estimates. SPARROW model calibration results are used to simulate the delivery of TOC loads to the coastal areas of seven major regional drainages. It was found that stream photosynthesis is the largest source of the TOC yields ( about 50 percent) delivered to the coastal waters in two of the seven regional drainages (the Pacific Northwest and Mississippi-Atchafalaya-Red River basins ), whereas terrestrial sources are dominant (greater than 60 percent) in all other regions (North Atlantic, South Atlantic-Gulf, California, Texas-Gulf, and Great Lakes).","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101276","collaboration":"Prepared in cooperation with Resources of the Future and Pennsylvania State University","usgsCitation":"Shih, J., Alexander, R.B., Smith, R.A., Boyer, E.W., Shwarz, G.E., and Chung, S., 2010, An initial SPARROW model of land use and in-stream controls on total organic carbon in streams of the conterminous United States: U.S. Geological Survey Open-File Report 2010-1276, vi, 22 p., https://doi.org/10.3133/ofr20101276.","productDescription":"vi, 22 p.","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":431211,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://pubs.usgs.gov/preview/ofr20101276","linkFileType":{"id":5,"text":"html"}},{"id":14488,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1276/","linkFileType":{"id":5,"text":"html"}},{"id":116244,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1276.bmp"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n              ],\n              [\n                -88.37811,\n                48.30292\n              ],\n              [\n                -87.43979,\n                47.94\n              ],\n              [\n                -86.46199,\n                47.55334\n              ],\n              [\n                -85.65236,\n                47.22022\n              ],\n              [\n                -84.87608,\n                46.90008\n              ],\n              [\n                -84.77924,\n                46.6371\n              ],\n              [\n                -84.54375,\n                46.53868\n              ],\n              [\n                -84.6049,\n                46.4396\n              ],\n              [\n                -84.3367,\n                46.40877\n              ],\n              [\n                -84.14212,\n                46.51223\n              ],\n              [\n                -84.09185,\n                46.27542\n              ],\n              [\n                -83.89077,\n                46.11693\n              ],\n              [\n                -83.61613,\n                46.11693\n              ],\n              [\n                -83.46955,\n                45.99469\n              ],\n              [\n                -83.59285,\n                45.81689\n              ],\n              [\n                -82.55092,\n                45.34752\n              ],\n              [\n                -82.33776,\n                44.44\n              ],\n              [\n                -82.13764,\n                43.57109\n              ],\n              [\n                -82.43,\n                42.98\n              ],\n              [\n                -82.9,\n                42.43\n              ],\n              [\n                -83.12,\n                42.08\n              ],\n              [\n                -83.142,\n                41.97568\n              ],\n              [\n                -83.02981,\n                41.8328\n              ],\n              [\n                -82.69009,\n                41.67511\n              ],\n              [\n                -82.43928,\n                41.67511\n              ],\n              [\n                -81.27775,\n                42.20903\n              ],\n              [\n                -80.24745,\n                42.3662\n              ],\n              [\n                -78.93936,\n                42.86361\n              ],\n              [\n                -78.92,\n                42.965\n              ],\n              [\n                -79.01,\n                43.27\n              ],\n              [\n                -79.17167,\n                43.46634\n              ],\n              [\n                -78.72028,\n                43.62509\n              ],\n              [\n                -77.73789,\n                43.62906\n              ],\n              [\n                -76.82003,\n                43.62878\n              ],\n              [\n                -76.5,\n                44.01846\n              ],\n              [\n                -76.375,\n                44.09631\n              ],\n              [\n                -75.31821,\n                44.81645\n              ],\n              [\n                -74.867,\n                45.00048\n              ],\n              [\n                -73.34783,\n                45.00738\n              ],\n              [\n                -71.50506,\n                45.0082\n              ],\n              [\n                -71.405,\n                45.255\n              ],\n              [\n                -71.08482,\n                45.30524\n              ],\n              [\n                -70.66,\n                45.46\n              ],\n              [\n                -70.305,\n                45.915\n              ],\n              [\n                -69.99997,\n                46.69307\n              ],\n              [\n                -69.23722,\n                47.44778\n              ],\n              [\n                -68.905,\n                47.185\n              ],\n              [\n                -68.23444,\n                47.35486\n              ],\n              [\n                -67.79046,\n                47.06636\n              ],\n              [\n                -67.79134,\n                45.70281\n              ],\n              [\n                -67.13741,\n                45.13753\n              ],\n              [\n                -66.96466,\n                44.8097\n              ],\n              [\n                -68.03252,\n                44.3252\n              ],\n              [\n                -69.06,\n                43.98\n              ],\n              [\n                -70.11617,\n                43.68405\n              ],\n              [\n                -70.64548,\n                43.09024\n              ],\n              [\n                -70.81489,\n                42.8653\n              ],\n              [\n                -70.825,\n                42.335\n              ],\n              [\n                -70.495,\n                41.805\n              ],\n              [\n                -70.08,\n                41.78\n              ],\n              [\n                -70.185,\n                42.145\n              ],\n              [\n                -69.88497,\n                41.92283\n              ],\n              [\n                -69.96503,\n                41.63717\n              ],\n              [\n                -70.64,\n                41.475\n              ],\n              [\n                -71.12039,\n                41.49445\n              ],\n              [\n                -71.86,\n                41.32\n              ],\n              [\n                -72.295,\n                41.27\n              ],\n              [\n                -72.87643,\n                41.22065\n              ],\n              [\n                -73.71,\n                40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n              ],\n              [\n                -73.96244,\n                40.42763\n              ],\n              [\n                -74.17838,\n                39.70926\n              ],\n              [\n                -74.90604,\n                38.93954\n              ],\n              [\n                -74.98041,\n                39.1964\n              ],\n              [\n                -75.20002,\n                39.24845\n              ],\n              [\n                -75.52805,\n                39.4985\n              ],\n              [\n                -75.32,\n                38.96\n              ],\n              [\n                -75.07183,\n                38.78203\n              ],\n              [\n                -75.05673,\n                38.40412\n              ],\n              [\n                -75.37747,\n                38.01551\n              ],\n              [\n                -75.94023,\n                37.21689\n              ],\n              [\n                -76.03127,\n                37.2566\n              ],\n              [\n                -75.72205,\n                37.93705\n              ],\n              [\n                -76.23287,\n                38.31921\n              ],\n              [\n                -76.35,\n                39.15\n              ],\n              [\n                -76.54272,\n                38.71762\n              ],\n              [\n                -76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                29.93656\n              ],\n              [\n                -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad7e4b07f02db6845f9","contributors":{"authors":[{"text":"Shih, Jhih-Shyang","contributorId":32280,"corporation":false,"usgs":true,"family":"Shih","given":"Jhih-Shyang","email":"","affiliations":[],"preferred":false,"id":307382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":307380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":307381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":307383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shwarz, Grogory E.","contributorId":89272,"corporation":false,"usgs":true,"family":"Shwarz","given":"Grogory","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chung, Susie","contributorId":90448,"corporation":false,"usgs":true,"family":"Chung","given":"Susie","email":"","affiliations":[],"preferred":false,"id":307385,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":99028,"text":"ofr20101299 - 2010 - Biogeochemical processes in an urban, restored wetland of San Francisco Bay, California, 2007-2009: Methods and data for plant, sediment and water parameters","interactions":[],"lastModifiedDate":"2022-12-15T20:04:17.912304","indexId":"ofr20101299","displayToPublicDate":"2011-02-08T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1299","title":"Biogeochemical processes in an urban, restored wetland of San Francisco Bay, California, 2007-2009: Methods and data for plant, sediment and water parameters","docAbstract":"The restoration of 18 acres of historic tidal marsh at Crissy Field has had great success in terms of public outreach and visibility, but less success in terms of revegetated marsh sustainability. Native cordgrass (Spartina foliosa) has experienced dieback and has failed to recolonize following extended flooding events during unintended periodic closures of its inlet channel, which inhibits daily tidal flushing. We examined the biogeochemical impacts of these impoundment events on plant physiology and on sulfur and mercury chemistry to help the National Park Service land managers determine the relative influence of these inlet closures on marsh function. In this comparative study, we examined key pools of sulfur, mercury, and carbon compounds both during and between closure events. Further, we estimated the net hydrodynamic flux of methylmercury and total mercury to and from the marsh during a 24-hour diurnal cycle. This report documents the methods used and the data generated during the study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101299","collaboration":"In Cooperation with the National Park Service Water Quality Program","usgsCitation":"Windham-Myers, L., Marvin-DiPasquale, M.C., Agee, J.L., Kieu, L.H., Kakouros, E., Erikson, L., and Ward, K., 2010, Biogeochemical processes in an urban, restored wetland of San Francisco Bay, California, 2007-2009: Methods and data for plant, sediment and water parameters: U.S. Geological Survey Open-File Report 2010-1299, Report: vi, 21 p.; Appendix, https://doi.org/10.3133/ofr20101299.","productDescription":"Report: vi, 21 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":410564,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94840.htm","linkFileType":{"id":5,"text":"html"}},{"id":126206,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1299.gif"},{"id":14468,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1299/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.46,\n              37.8056\n            ],\n            [\n              -122.46,\n              37.8031\n            ],\n            [\n              -122.4525,\n              37.8031\n            ],\n            [\n              -122.4525,\n              37.8056\n            ],\n            [\n              -122.46,\n              37.8056\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db625cdf","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":307316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":307315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agee, Jennifer L. 0000-0002-5964-5079 jlagee@usgs.gov","orcid":"https://orcid.org/0000-0002-5964-5079","contributorId":2586,"corporation":false,"usgs":true,"family":"Agee","given":"Jennifer","email":"jlagee@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":307317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kieu, Le H. lkieu@usgs.gov","contributorId":25115,"corporation":false,"usgs":true,"family":"Kieu","given":"Le","email":"lkieu@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":307320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":307318,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":3170,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":307319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, Kristen","contributorId":86746,"corporation":false,"usgs":true,"family":"Ward","given":"Kristen","email":"","affiliations":[],"preferred":false,"id":307321,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
]}