Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of South Dakota, elevation data are critical for agriculture and precision farming, natural resources conservation, water supply and quality, infrastructure and construction management, flood risk management, geologic resource assessment and hazard mitigation, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\nThe National Enhanced Elevation Assessment (NEEA; Dewberry, 2011) evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios.The new 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.
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Dakota\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52cd2200e4b0c3f95143ed21","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":486037,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048540,"text":"70048540 - 2014 - Histological assessment of organs in sexually mature and post-spawning steelhead trout and insights into iteroparity","interactions":[],"lastModifiedDate":"2014-08-12T12:24:03","indexId":"70048540","displayToPublicDate":"2014-01-07T14:12:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Histological assessment of organs in sexually mature and post-spawning steelhead trout and insights into iteroparity","docAbstract":"Steelhead trout (Oncorhynchus mykiss) are anadromous and iteroparous, but repeat-spawning rates are generally low. Like other anadromous salmonids, steelhead trout fast during freshwater spawning migrations, but little is known about the changes that occur in vital organs and tissues. We hypothesized that fish capable of repeat-spawning would not undergo the same irreversible degeneration and cellular necrosis documented in semelparous salmon. Using Snake River steelhead trout as a model we used histological analysis to assess the cellular architecture in the pyloric stomach, ovary, liver, and spleen in sexually mature and kelt steelhead trout. We observed 38 % of emigrating kelts with food or fecal material in the gastrointestinal tract. Evidence of feeding was more likely in good condition kelts, and feeding was associated with a significant renewal of villi in the pyloric stomach. No vitellogenic oocytes were observed in sections of kelt ovaries, but perinucleolar and early/late stage cortical alveolus oocytes were present suggesting iteroparity was possible. We documented a negative correlation between the quantity of perinucleolar oocytes in ovarian tissues and fork length of kelts suggesting that larger steelhead trout may invest more into a single spawning event. Liver and spleen tissues of both mature and kelt steelhead trout had minimal cellular necroses. Our findings indicate that the physiological processes causing rapid senescence and death in semelparous salmon are not evident in steelhead trout, and recovery begins in fresh water. Future management efforts to increase iteroparity in steelhead trout and Atlantic salmon must consider the physiological processes that influence post-spawning recovery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Reviews in Fish Biology and Fisheries","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11160-013-9338-2","usgsCitation":"Penney, Z.L., and Moffitt, C.M., 2014, Histological assessment of organs in sexually mature and post-spawning steelhead trout and insights into iteroparity: Reviews in Fish Biology and Fisheries, v. 24, no. 3, p. 781-801, https://doi.org/10.1007/s11160-013-9338-2.","productDescription":"21 p.","startPage":"781","endPage":"801","numberOfPages":"21","ipdsId":"IP-044998","costCenters":[],"links":[{"id":280668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280667,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11160-013-9338-2"}],"volume":"24","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-12-05","publicationStatus":"PW","scienceBaseUri":"52cd21fde4b0c3f95143ecf7","contributors":{"authors":[{"text":"Penney, Zachary L.","contributorId":8373,"corporation":false,"usgs":true,"family":"Penney","given":"Zachary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":485003,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048186,"text":"70048186 - 2014 - A GIS-based vulnerability assessment of brine contamination to aquatic resources from oil and gas development in eastern Sheridan County, Montana","interactions":[],"lastModifiedDate":"2014-01-24T09:39:08","indexId":"70048186","displayToPublicDate":"2014-01-07T13:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"A GIS-based vulnerability assessment of brine contamination to aquatic resources from oil and gas development in eastern Sheridan County, Montana","docAbstract":"Water (brine) co-produced with oil in the Williston Basin is some of the most saline in the nation. The Prairie Pothole Region (PPR), characterized by glacial sediments and numerous wetlands, covers the northern and eastern portion of the Williston Basin. Sheridan County, Montana, lies within the PPR and has a documented history of brine contamination. Surface water and shallow groundwater in the PPR are saline and sulfate dominated while the deeper brines are much more saline and chloride dominated. A Contamination Index (CI), defined as the ratio of chloride concentration to specific conductance in a water sample, was developed by the Montana Bureau of Mines and Geology to delineate the magnitude of brine contamination in Sheridan County. Values > 0.035 indicate contamination.
\nRecently, the U.S. Geological Survey completed a county level geographic information system (GIS)-based vulnerability assessment of brine contamination to aquatic resources in the PPR of the Williston Basin based on the age and density of oil wells, number of wetlands, and stream length per county. To validate and better define this assessment, a similar approach was applied in eastern Sheridan County at a greater level of detail (the 2.59 km2 Public Land Survey System section grid) and included surficial geology. Vulnerability assessment scores were calculated for the 780 modeled sections and these scores were divided into ten equal interval bins representing similar probabilities of contamination. Two surface water and two groundwater samples were collected from the section with the greatest acreage of Federal land in each bin. Nineteen of the forty water samples, and at least one water sample from seven of the ten selected sections, had CI values indicating contamination. Additionally, CI values generally increased with increasing vulnerability assessment score, with a stronger correlation for groundwater samples (R2 = 0.78) than surface water samples (R2 = 0.53).
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.09.027","usgsCitation":"Preston, T.M., Chesley-Preston, T., and Thamke, J., 2014, A GIS-based vulnerability assessment of brine contamination to aquatic resources from oil and gas development in eastern Sheridan County, Montana: Science of the Total Environment, v. 472, p. 1152-1162, https://doi.org/10.1016/j.scitotenv.2013.09.027.","productDescription":"11 p.","startPage":"1152","endPage":"1162","numberOfPages":"11","ipdsId":"IP-044041","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":280661,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.09.027"},{"id":280662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","county":"Sheridan County","otherGeospatial":"Prairie Pothole Region;Williston Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.97,41.71 ], [ -115.97,54.99 ], [ -89.82,54.99 ], [ -89.82,41.71 ], [ -115.97,41.71 ] ] ] } } ] }","volume":"472","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52cd21e2e4b0c3f95143ecd6","contributors":{"authors":[{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":483935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chesley-Preston, Tara L.","contributorId":58938,"corporation":false,"usgs":true,"family":"Chesley-Preston","given":"Tara L.","affiliations":[],"preferred":false,"id":483936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483934,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70059915,"text":"70059915 - 2014 - What do data used to develop ground-motion prediction equations tell us about motions near faults?","interactions":[],"lastModifiedDate":"2016-12-14T11:40:26","indexId":"70059915","displayToPublicDate":"2014-01-06T16:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"What do data used to develop ground-motion prediction equations tell us about motions near faults?","docAbstract":"A large database of ground motions from shallow earthquakes occurring in active tectonic regions around the world, recently developed in the Pacific Earthquake Engineering Center’s NGA-West2 project, has been used to investigate what such a database can say about the properties and processes of crustal fault zones. There are a relatively small number of near-rupture records, implying that few recordings in the database are within crustal fault zones, but the records that do exist emphasize the complexity of ground-motion amplitudes and polarization close to individual faults. On average over the whole data set, however, the scaling of ground motions with magnitude at a fixed distance, and the distance dependence of the ground motions, seem to be largely consistent with simple seismological models of source scaling, path propagation effects, and local site amplification. The data show that ground motions close to large faults, as measured by elastic response spectra, tend to saturate and become essentially constant for short periods. This saturation seems to be primarily a geometrical effect, due to the increasing size of the rupture surface with magnitude, and not due to a breakdown in self similarity.
","language":"English","publisher":"Springer","doi":"10.1007/s00024-013-0748-9","usgsCitation":"Boore, D.M., 2014, What do data used to develop ground-motion prediction equations tell us about motions near faults?: Pure and Applied Geophysics, v. 171, no. 11, p. 3023-3043, https://doi.org/10.1007/s00024-013-0748-9.","productDescription":"21 p.","startPage":"3023","endPage":"3043","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051125","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":280636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280635,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-013-0748-9"}],"volume":"171","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-12-15","publicationStatus":"PW","scienceBaseUri":"52cbd084e4b03116c9ddba10","contributors":{"authors":[{"text":"Boore, David M. boore@usgs.gov","contributorId":2509,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":487853,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70160095,"text":"70160095 - 2014 - Comparative recruitment dynamics of Alewife and Bloater in Lakes Michigan and Huron","interactions":[],"lastModifiedDate":"2015-12-11T15:50:51","indexId":"70160095","displayToPublicDate":"2014-01-06T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Comparative recruitment dynamics of Alewife and Bloater in Lakes Michigan and Huron","docAbstract":"The predictive power of recruitment models often relies on the identification and quantification of external variables, in addition to stock size. In theory, the identification of climatic, biotic, or demographic influences on reproductive success assists fisheries management by identifying factors that have a direct and reproducible influence on the population dynamics of a target species. More often, models are constructed as one-time studies of a single population whose results are not revisited when further data become available. Here, we present results from stock recruitment models for Alewife Alosa pseudoharengus and Bloater Coregonus hoyi in Lakes Michigan and Huron. The factors that explain variation in Bloater recruitment were remarkably consistent across populations and with previous studies that found Bloater recruitment to be linked to population demographic patterns in Lake Michigan. Conversely, our models were poor predictors of Alewife recruitment in Lake Huron but did show some agreement with previously published models from Lake Michigan. Overall, our results suggest that external predictors of fish recruitment are difficult to discern using traditional fisheries models, and reproducing the results from previous studies may be difficult particularly at low population sizes.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2013.833986","collaboration":"University of Michigan","usgsCitation":"Collingsworth, P.D., Bunnell, D., Madenjian, C.P., and Riley, S.C., 2014, Comparative recruitment dynamics of Alewife and Bloater in Lakes Michigan and Huron: Transactions of the American Fisheries Society, v. 143, no. 1, p. 294-309, https://doi.org/10.1080/00028487.2013.833986.","productDescription":"16 p.","startPage":"294","endPage":"309","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049393","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473233,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2027.42/141414","text":"External Repository"},{"id":312204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan and Lake 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-83.95065307617188,\n 46.056079276178885\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"143","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"566c01d2e4b09cfe53ca5abd","contributors":{"authors":[{"text":"Collingsworth, Paris D.","contributorId":145526,"corporation":false,"usgs":false,"family":"Collingsworth","given":"Paris","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":581989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. dbunnell@usgs.gov","contributorId":141167,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":581990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":581991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":581992,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70099270,"text":"70099270 - 2014 - Thresholds for conservation and management: structured decision making as a conceptual framework","interactions":[],"lastModifiedDate":"2014-03-26T11:30:00","indexId":"70099270","displayToPublicDate":"2014-01-05T11:23:49","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Thresholds for conservation and management: structured decision making as a conceptual framework","docAbstract":"A conceptual framework is provided for considering the threshold concept in natural resource management and conservation. We define three kinds of thresholds\nrelevant to management and conservation. Ecological thresholds are values of system state variables at which small changes bring about substantial or specified\nchanges in system dynamics. They are frequently incorporated into ecological models used to project system responses to management actions. Utility thresholds are components of management objectives and are values of state or performance variables at which small changes yield substantial changes in the value of the management outcome. Decision thresholds are values of system state variables at which small changes prompt changes in management actions in order to reach specified management objectives. Decision thresholds are derived from the other components of the decision process.We advocate a structured decision making (SDM) approach within which the following components are identified: objectives (possibly including utility thresholds), potential actions, models (possibly including ecological thresholds), monitoring program, and a solution algorithm (which produces decision thresholds). Adaptive resource management (ARM) is described as a special case of SDM developed for recurrent decision problems that are characterized by uncertainty. We believe that SDM, in general, and ARM, in particular, provide good approaches to conservation and management. Use of SDM and ARM also clarifies the distinct roles of ecological thresholds, utility thresholds, and decision thresholds in informed decision processes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Application of threshold concepts in natural resource decision making","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer","usgsCitation":"Nichols, J., Eaton, M., and Martin, J., 2014, Thresholds for conservation and management: structured decision making as a conceptual framework, 20 p.","productDescription":"20 p.","startPage":"9","endPage":"28","ipdsId":"IP-035192","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":284359,"type":{"id":15,"text":"Index Page"},"url":"https://www.springer.com/environment/environmental+management/book/978-1-4899-8040-3"},{"id":284953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535595a1e4b0120853e8c299","contributors":{"editors":[{"text":"Guntenspergen, Glenn R.","contributorId":113070,"corporation":false,"usgs":false,"family":"Guntenspergen","given":"Glenn R.","affiliations":[],"preferred":false,"id":509827,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"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":491915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J.","contributorId":71308,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[],"preferred":false,"id":491917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":491916,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70069017,"text":"70069017 - 2014 - 11.12 - Volatile hydrocarbons and fuel oxygenates","interactions":[],"lastModifiedDate":"2021-11-26T14:25:08.68355","indexId":"70069017","displayToPublicDate":"2014-01-05T11:09:15","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"11.12 - Volatile hydrocarbons and fuel oxygenates","docAbstract":"Petroleum hydrocarbons and fuel oxygenates are among the most commonly occurring and widely distributed contaminants in the environment. This chapter presents a summary of the sources, transport, fate, and remediation of volatile fuel hydrocarbons and fuel additives in the environment. Much research has focused on the transport and transformation processes of petroleum hydrocarbons and fuel oxygenates, such as benzene, toluene, ethylbenzene, and xylenes and methyl tert‐butyl ether, in groundwater following release from underground storage tanks. Natural attenuation from biodegradation limits the movement of these contaminants and has received considerable attention as an environmental restoration option. This chapter summarizes approaches to environmental restoration, including those that rely on natural attenuation, and also engineered or enhanced remediation. Researchers are increasingly combining several microbial and molecular-based methods to give a complete picture of biodegradation potential and occurrence at contaminated field sites. New insights into the fate of petroleum hydrocarbons and fuel additives have been gained by recent advances in analytical tools and approaches, including stable isotope fractionation, analysis of metabolic intermediates, and direct microbial evidence. However, development of long-term detailed monitoring programs is required to further develop conceptual models of natural attenuation and increase our understanding of the behavior of contaminant mixtures in the subsurface.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on Geochemistry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-08-095975-7.00912-8","usgsCitation":"Cozzarelli, I.M., 2014, 11.12 - Volatile hydrocarbons and fuel oxygenates, chap. of Treatise on Geochemistry, v. 11, p. 439-480, https://doi.org/10.1016/B978-0-08-095975-7.00912-8.","productDescription":"41 p.","startPage":"439","endPage":"480","ipdsId":"IP-027035","costCenters":[{"id":633,"text":"Water Resources National Research Program","active":false,"usgs":true}],"links":[{"id":284951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","edition":"Second","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535595d9e4b0120853e8c2eb","contributors":{"authors":[{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":488199,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70099273,"text":"70099273 - 2014 - Tick control: Trapping, bio-control, host management and other alternative strategies","interactions":[],"lastModifiedDate":"2022-12-12T17:15:50.080425","indexId":"70099273","displayToPublicDate":"2014-01-05T11:01:49","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Tick control: Trapping, bio-control, host management and other alternative strategies","docAbstract":"Biology of Ticks is the most comprehensive work on tick biology and tick-borne diseases. This second edition is a multi-authored work, featuring the research and analyses of renowned experts across the globe. Spanning two volumes, the book examines the systematics, biology, structure, ecological adaptations, evolution, genomics and the molecular processes that underpin the growth, development and survival of these important disease-transmitting parasites. Also discussed is the remarkable array of diseases transmitted (or caused) by ticks, as well as modern methods for their control. This book should serve as a modern reference for students, scientists, physicians, veterinarians and other specialists.
Volume II includes chapters on the ecology of non-nidicolous and nidicolous ticks, genetics and genomics (including the genome of the Lyme disease vector Ixodes scapularis) and immunity, including host immune responses to tick feeding and tick-host interactions, as well as the tick's innate immune system that prevents and/or controls microbial infections. Six chapters cover in depth the many diseases caused by the major tick-borne pathogens, including tick-borne protozoa, viruses, rickettsiae of all types, other types of bacteria (e.g., the Lyme disease agent) and diseases related to tick paralytic agents and toxins. The remaining chapters are devoted to tick control using vaccines, acaricides, repellents, biocontrol, and, finally, techniques for breeding ticks in order to develop tick colonies for scientific study.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biology of ticks","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","usgsCitation":"Ginsberg, H.S., 2014, Tick control: Trapping, bio-control, host management and other alternative strategies, chap. 15 of Biology of ticks, v. 2, p. 409-444.","productDescription":"36 p.","startPage":"409","endPage":"444","ipdsId":"IP-036974","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":285093,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535595a1e4b0120853e8c29b","contributors":{"editors":[{"text":"Sonenshine, Daniel E.","contributorId":112353,"corporation":false,"usgs":false,"family":"Sonenshine","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":509830,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Roe, R. Michael","contributorId":112265,"corporation":false,"usgs":true,"family":"Roe","given":"R.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":509829,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":3204,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","email":"hginsberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":491927,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70071846,"text":"70071846 - 2014 - Sustainability of water-supply at military installations, Kabul Basin, Afghanistan","interactions":[],"lastModifiedDate":"2021-02-24T22:19:52.09481","indexId":"70071846","displayToPublicDate":"2014-01-03T11:13:08","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Sustainability of water-supply at military installations, Kabul Basin, Afghanistan","docAbstract":"The Kabul Basin, including the city of Kabul, Afghanistan, is host to several military installations of Afghanistan, the United States, and other nations that depend on groundwater resources for water supply. These installations are within or close to the city of Kabul. Groundwater also is the potable supply for the approximately four million residents of Kabul. The sustainability of water resources in the Kabul Basin is a concern to military operations, and Afghan water-resource managers, owing to increased water demands from a growing population and potential mining activities. This study illustrates the use of chemical and isotopic analysis, groundwater flow modeling, and hydrogeologic investigations to assess the sustainability of groundwater resources in the Kabul Basin.
Water supplies for military installations in the southern Kabul Basin were found to be subject to sustainability concerns, such as the potential drying of shallow-water supply wells as a result of declining water levels. Model simulations indicate that new withdrawals from deep aquifers may have less of an impact on surrounding community water supply wells than increased withdrawals from near- surface aquifers. Higher rates of recharge in the northern Kabul Basin indicate that military installations in that part of the basin may have fewer issues with long-term water sustainability. Simulations of groundwater withdrawals may be used to evaluate different withdrawal scenarios in an effort to manage water resources in a sustainable manner in the Kabul Basin.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sustainable cities and military installations","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-007-7161-1_11","usgsCitation":"Mack, T.J., Chornack, M., and Verstraeten, I., 2014, Sustainability of water-supply at military installations, Kabul Basin, Afghanistan, chap. of Sustainable cities and military installations, p. 199-226, https://doi.org/10.1007/978-94-007-7161-1_11.","productDescription":"28 p.","startPage":"199","endPage":"226","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042037","costCenters":[],"links":[{"id":284156,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320895,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/book/mack2014af/bk_afghanistan.pdf","text":"Chapter 11 -Sustainability of Water Supply at Military Installations, Kabul Basin, Afghanistan","size":"4.68 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"Afghanistan","city":"Kabul","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 68.9989,34.4312 ], [ 68.9989,34.6094 ], [ 69.4027,34.6094 ], [ 69.4027,34.4312 ], [ 68.9989,34.4312 ] ] ] } } ] }","contact":"Office of International Programs
U.S. Geological Survey
917 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
Internet: http://international.usgs.gov/index.htm
Debris flows are water-laden masses of soil and fragmented rock that rush down mountainsides, funnel into stream channels, entrain objects in their paths, and form lobate deposits when they spill onto valley floors. Because they have volumetric sediment concentrations that exceed 40 percent, maximum speeds that surpass 10 m/s, and sizes that can range up to ~109 m3, debris flows can denude slopes, bury floodplains, and devastate people and property. Computational models can accurately represent the physics of debris-flow initiation, motion and deposition by simulating evolution of flow mass and momentum while accounting for interactions of debris' solid and fluid constituents. The use of physically based models for hazard forecasting can be limited by imprecise knowledge of initial and boundary conditions and material properties, however. Therefore, empirical methods continue to play an important role in debris-flow hazard assessment.
","language":"English","publisher":"Geological Society of London","doi":"10.1111/gto.12037","usgsCitation":"Iverson, R.M., 2014, Debris flows: Behavior and hazard assessment: Geology Today, v. 30, no. 1, p. 15-20, https://doi.org/10.1111/gto.12037.","productDescription":"6 p.","startPage":"15","endPage":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043207","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":298646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-24","publicationStatus":"PW","scienceBaseUri":"5509502de4b02e76d757e610","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":542096,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70099241,"text":"70099241 - 2014 - 2012 National Park visitor spending effects: economic contributions to local communities, states, and the nation","interactions":[],"lastModifiedDate":"2016-08-18T16:22:56","indexId":"70099241","displayToPublicDate":"2014-01-01T15:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/EQD/NRR-2014/765","title":"2012 National Park visitor spending effects: economic contributions to local communities, states, and the nation","docAbstract":"The National Park Service (NPS) manages the nation's most iconic destinations that attract millions of visitors from across the nation and around the world. Trip-related spending by NPS visitors generates and supports a considerable amount of economic activity within park gateway communities. This economic effects analysis measures how NPS visitor spending cycles through local economies, generating business sales and supporting jobs and income.
\nIn 2012, the National Park System received over 282 million recreation visits. NPS visitors spent $14.7 billion in local gateway regions (defined as communities within 60 miles of a park). The contribution of this spending to the national economy was 243 thousand jobs, $9.3 billion in labor income, $15.8 billion in value added, and $26.8 billion in output. The lodging sector saw the highest direct contributions with more than 40 thousand jobs and $4.5 billion in output directly contributed to local gateway economies nationally. The sector with the next greatest direct contributions was restaurants and bars, with 51 thousand jobs and $3 billion in output directly contributed to local gateway economies nationally.
\nThis 2012 analysis marks a major revision to the NPS visitor spending effects analyses, with the development of a new visitor spending effects model (VSE model) that replaces the former Money Generation Model (MGM2). Many of the hallmarks and processes of the MGM2 model are preserved in the new VSE model, but the new model makes significant strides in improving the accuracy and transparency of the analysis. Because of this change from the MGM2 model to the VSE model, estimates from this year’s analysis are not directly comparable to previous analyses.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Cullinane Thomas, C., Huber, C.C., and Koontz, L., 2014, 2012 National Park visitor spending effects: economic contributions to local communities, states, and the nation: Natural Resource Report NPS/NRSS/EQD/NRR-2014/765, v, 42 p.","productDescription":"v, 42 p.","numberOfPages":"50","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054975","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":287637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284353,"type":{"id":11,"text":"Document"},"url":"https://www.nature.nps.gov/socialscience/docs/NPSVSE2012_final_nrss.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b6dc2ee4b03fd6b7d94bf3","contributors":{"authors":[{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":141097,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":491885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huber, Christopher C. chuber@usgs.gov","contributorId":5491,"corporation":false,"usgs":true,"family":"Huber","given":"Christopher","email":"chuber@usgs.gov","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":491886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":491884,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70065876,"text":"70065876 - 2014 - Geographic variability in elevation and topographic constraints on the distribution of native and nonnative trout in the Great Basin","interactions":[],"lastModifiedDate":"2014-01-07T15:46:30","indexId":"70065876","displayToPublicDate":"2014-01-01T15:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Geographic variability in elevation and topographic constraints on the distribution of native and nonnative trout in the Great Basin","docAbstract":"Understanding local and geographic factors influencing species distributions is a prerequisite for conservation planning. Our objective in this study was to model local and geographic variability in elevations occupied by native and nonnative trout in the northwestern Great Basin, USA. To this end, we analyzed a large existing data set of trout presence (5,156 observations) to evaluate two fundamental factors influencing occupied elevations: climate-related gradients in geography and local constraints imposed by topography. We applied quantile regression to model upstream and downstream distribution elevation limits for each trout species commonly found in the region (two native and two nonnative species). With these models in hand, we simulated an upstream shift in elevation limits of trout distributions to evaluate potential consequences of habitat loss. Downstream elevation limits were inversely associated with latitude, reflecting regional gradients in temperature. Upstream limits were positively related to maximum stream elevation as expected. Downstream elevation limits were constrained topographically by valley bottom elevations in northern streams but not in southern streams, where limits began well above valley bottoms. Elevation limits were similar among species. Upstream shifts in elevation limits for trout would lead to more habitat loss in the north than in the south, a result attributable to differences in topography. Because downstream distributions of trout in the north extend into valley bottoms with reduced topographic relief, trout in more northerly latitudes are more likely to experience habitat loss associated with an upstream shift in lower elevation limits. By applying quantile regression to relatively simple information (species presence, elevation, geography, topography), we were able to identify elevation limits for trout in the Great Basin and explore the effects of potential shifts in these limits that could occur in response to changing climate conditions that alter streams directly (e.g., through changes in temperature and precipitation) or indirectly (e.g., through changing water use).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2013.833551","usgsCitation":"Warren, D.R., Dunham, J., and Hockman-Wert, D., 2014, Geographic variability in elevation and topographic constraints on the distribution of native and nonnative trout in the Great Basin: Transactions of the American Fisheries Society, v. 143, no. 1, p. 205-218, https://doi.org/10.1080/00028487.2013.833551.","productDescription":"14 p.","startPage":"205","endPage":"218","numberOfPages":"14","ipdsId":"IP-049648","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473235,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2013.833551","text":"Publisher Index Page"},{"id":280675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280651,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2013.833551"}],"country":"United States","state":"California;Idaho;Nevada;Oregon","otherGeospatial":"Great Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.0,39.0 ], [ -125.0,44.0 ], [ -112.0,44.0 ], [ -112.0,39.0 ], [ -125.0,39.0 ] ] ] } } ] }","volume":"143","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"53cd5b23e4b0b290850f9d0f","contributors":{"authors":[{"text":"Warren, Dana R.","contributorId":96139,"corporation":false,"usgs":true,"family":"Warren","given":"Dana","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":487929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":487928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hockman-Wert, David 0000-0003-2436-6237 dhockman-wert@usgs.gov","orcid":"https://orcid.org/0000-0003-2436-6237","contributorId":3891,"corporation":false,"usgs":true,"family":"Hockman-Wert","given":"David","email":"dhockman-wert@usgs.gov","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":487927,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199858,"text":"70199858 - 2014 - Effects of climate change and urban development on the distribution and conservation of vegetation in a Mediterranean type ecosystem","interactions":[],"lastModifiedDate":"2018-10-01T15:25:47","indexId":"70199858","displayToPublicDate":"2014-01-01T15:25:41","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2046,"text":"International Journal of Geographical Information Science","active":true,"publicationSubtype":{"id":10}},"title":"Effects of climate change and urban development on the distribution and conservation of vegetation in a Mediterranean type ecosystem","docAbstract":"Climate and land-use changes are projected to threaten biodiversity over this century. However, few studies have considered the spatial and temporal overlap of these threats to evaluate how ongoing land-use change could affect species ranges projected to shift outside conservation areas. We evaluated climate change and urban development effects on vegetation distribution in the Southwest ecoregion, California Floristic Province, USA. We also evaluated how well a conservation network protects suitable habitat for rare plant species under these change projections and identified primary sources of uncertainty. We used consensus-based maps from three species distribution models (SDMs) to project current and future suitable habitat for 19 species representing different functional types (defined by fire-response – obligate seeders, resprouting shrubs – and life forms – herbs, subshrubs), and range sizes (large/common, small/rare). We used one spatially explicit urban growth projection; two climate models, emission scenarios, and probability thresholds applied to SDMs; and high-resolution (90 m) environmental data. We projected that suitable habitat could disappear for 4 species and decrease for 15 by 2080. Averaged centroids of suitable habitat (all species) were projected to shift tens (up to hundreds) of kilometers. Herbs showed a small-projected response to climate change, while obligate seeders could suffer the greatest losses. Several rare species could lose suitable habitat inside conservation areas while increasing area outside. We concluded that (i) climate change is more important than urban development for vegetation habitat loss in this ecoregion through 2080 due to diminishing amounts of undeveloped private land in this region; (ii) the existing conservation plan, while extensive, may be inadequate to protect plant diversity under projected patterns of climate change and urban development, (iii) regional assessments of the dynamics of the drivers of biodiversity change based on high-resolution environmental data and consensus predictive mapping, such as this study, are necessary to identify the species expected to be the most vulnerable and to meaningfully inform regional-scale conservation.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/13658816.2013.846472","usgsCitation":"Beltran, B., Franklin, J., Syphard, A.D., Regan, H.M., Flint, L.E., and Flint, A.L., 2014, Effects of climate change and urban development on the distribution and conservation of vegetation in a Mediterranean type ecosystem: International Journal of Geographical Information Science, v. 28, no. 8, p. 1561-1589, https://doi.org/10.1080/13658816.2013.846472.","productDescription":"29 p.","startPage":"1561","endPage":"1589","ipdsId":"IP-041948","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":473238,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/4zf1737x","text":"External Repository"},{"id":357986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.94921874999999,\n 32.519026027827515\n ],\n [\n -115.850830078125,\n 32.519026027827515\n ],\n [\n -115.850830078125,\n 34.161818161230386\n ],\n [\n -117.94921874999999,\n 34.161818161230386\n ],\n [\n -117.94921874999999,\n 32.519026027827515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-18","publicationStatus":"PW","scienceBaseUri":"5bc038ebe4b0fc368eb53b15","contributors":{"authors":[{"text":"Beltran, Bray","contributorId":197901,"corporation":false,"usgs":false,"family":"Beltran","given":"Bray","email":"","affiliations":[],"preferred":false,"id":746933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franklin, Janet","contributorId":192373,"corporation":false,"usgs":false,"family":"Franklin","given":"Janet","affiliations":[],"preferred":false,"id":746935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":746932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regan, Helen M.","contributorId":149953,"corporation":false,"usgs":false,"family":"Regan","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":746934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746930,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70119388,"text":"70119388 - 2014 - An ontology design pattern for surface water features","interactions":[],"lastModifiedDate":"2017-06-30T13:59:53","indexId":"70119388","displayToPublicDate":"2014-01-01T15:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An ontology design pattern for surface water features","docAbstract":"Surface water is a primary concept of human experience but concepts are captured in cultures and languages in many different ways. Still, many commonalities exist due to the physical basis of many of the properties and categories. An abstract ontology of surface water features based only on those physical properties of landscape features has the best potential for serving as a foundational domain ontology for other more context-dependent ontologies. The Surface Water ontology design pattern was developed both for domain knowledge distillation and to serve as a conceptual building-block for more complex or specialized surface water ontologies. A fundamental distinction is made in this ontology between landscape features that act as containers (e.g., stream channels, basins) and the bodies of water (e.g., rivers, lakes) that occupy those containers. Concave (container) landforms semantics are specified in a Dry module and the semantics of contained bodies of water in a Wet module. The pattern is implemented in OWL, but Description Logic axioms and a detailed explanation is provided in this paper. The OWL ontology will be an important contribution to Semantic Web vocabulary for annotating surface water feature datasets. Also provided is a discussion of why there is a need to complement the pattern with other ontologies, especially the previously developed Surface Network pattern. Finally, the practical value of the pattern in semantic querying of surface water datasets is illustrated through an annotated geospatial dataset and sample queries using the classes of the Surface Water pattern.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geographic Information Science: Proceedings of the 8th International Conference, GIScience","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-11593-1_13","usgsCitation":"Sinha, G., Mark, D., Kolas, D., Varanka, D., Romero, B.E., Feng, C., Usery, E.L., Liebermann, J., and Sorokine, A., 2014, An ontology design pattern for surface water features, in Geographic Information Science: Proceedings of the 8th International Conference, GIScience, v. 8728, p. 187-203, https://doi.org/10.1007/978-3-319-11593-1_13.","productDescription":"16 p.","startPage":"187","endPage":"203","numberOfPages":"16","ipdsId":"IP-056598","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":294560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294559,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-3-319-11593-1_13"}],"volume":"8728","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252e9ee4b0e641df8a6e69","contributors":{"authors":[{"text":"Sinha, Gaurav","contributorId":75075,"corporation":false,"usgs":true,"family":"Sinha","given":"Gaurav","affiliations":[],"preferred":false,"id":497643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mark, David","contributorId":71906,"corporation":false,"usgs":true,"family":"Mark","given":"David","affiliations":[],"preferred":false,"id":497642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolas, Dave","contributorId":12390,"corporation":false,"usgs":true,"family":"Kolas","given":"Dave","email":"","affiliations":[],"preferred":false,"id":497640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varanka, Dalia","contributorId":99654,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","affiliations":[],"preferred":false,"id":497647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romero, Boleslo E.","contributorId":79414,"corporation":false,"usgs":true,"family":"Romero","given":"Boleslo","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":497644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feng, Chen-Chieh","contributorId":83854,"corporation":false,"usgs":true,"family":"Feng","given":"Chen-Chieh","email":"","affiliations":[],"preferred":false,"id":497645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Usery, E. Lynn 0000-0002-2766-2173 usery@usgs.gov","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":231,"corporation":false,"usgs":true,"family":"Usery","given":"E.","email":"usery@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":497639,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liebermann, Joshua","contributorId":90659,"corporation":false,"usgs":true,"family":"Liebermann","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":497646,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sorokine, Alexandre","contributorId":58206,"corporation":false,"usgs":true,"family":"Sorokine","given":"Alexandre","email":"","affiliations":[],"preferred":false,"id":497641,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70100634,"text":"70100634 - 2014 - Uncertainty and extreme events in future climate and hydrologic projections for the Pacific Northwest: providing a basis for vulnerability and core/corridor assessments","interactions":[],"lastModifiedDate":"2018-09-27T10:52:40","indexId":"70100634","displayToPublicDate":"2014-01-01T15:17:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Uncertainty and extreme events in future climate and hydrologic projections for the Pacific Northwest: providing a basis for vulnerability and core/corridor assessments","docAbstract":"The purpose of this project was to (1) provide an internally-consistent set of downscaled projections across the Western U.S., (2) include information about projection uncertainty, and (3) assess projected changes of hydrologic extremes. These objectives were designed to address decision support needs for climate adaptation and resource management actions. Specifically, understanding of uncertainty in climate projections – in particular for extreme events – is currently a key scientific and management barrier to adaptation planning and vulnerability assessment.
The new dataset fills in the Northwest domain to cover a key gap in the previous dataset, adds additional projections (both from other global climate models and a comparison with dynamical downscaling) and includes an assessment of changes to flow and soil moisture extremes. This new information can be used to assess variations in impacts across the landscape, uncertainty in projections, and how these differ as a function of region, variable, and time period.
In this project, existing University of Washington Climate Impacts Group (UW CIG) products were extended to develop a comprehensive data archive that accounts (in a reigorous and physically based way) for climate model uncertainty in future climate and hydrologic scenarios. These products can be used to determine likely impacts on vegetation and aquatic habitat in the Pacific Northwest (PNW) region, including WA, OR, ID, northwest MT to the continental divide, northern CA, NV, UT, and the Columbia Basin portion of western WY New data series and summaries produced for this project include: 1) extreme statistics for surface hydrology (e.g. frequency of soil moisture and summer water deficit) and streamflow (e.g. the 100-year flood, extreme 7-day low flows with a 10-year recurrence interval); 2) snowpack vulnerability as indicated by the ratio of April 1 snow water to cool-season precipitation; and, 3) uncertainty analyses for multiple climate scenarios.
","language":"English","publisher":"Climate Impacts Group","publisherLocation":"Seattle, WA","usgsCitation":"Littell, J.S., Mauger, G., Salathe, E.P., Hamlet, A.F., Lee, S., Stumbaugh, M.R., Elsner, M., Norheim, R., Lutz, E.R., and Mantua, N.J., 2014, Uncertainty and extreme events in future climate and hydrologic projections for the Pacific Northwest: providing a basis for vulnerability and core/corridor assessments, 19 p.","productDescription":"19 p.","ipdsId":"IP-054776","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":287631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287630,"type":{"id":15,"text":"Index Page"},"url":"https://cses.washington.edu/db/pubs/abstract825.shtml"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,31.27 ], [ -124.79,49.0 ], [ -104.08,49.0 ], [ -104.08,31.27 ], [ -124.79,31.27 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b405e4b09e18fc023ac5","contributors":{"authors":[{"text":"Littell, Jeremy S.","contributorId":54506,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":492350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mauger, Guillaume S.","contributorId":11954,"corporation":false,"usgs":true,"family":"Mauger","given":"Guillaume S.","affiliations":[],"preferred":false,"id":492347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salathe, Eric P.","contributorId":85887,"corporation":false,"usgs":true,"family":"Salathe","given":"Eric","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":492356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamlet, Alan F.","contributorId":15529,"corporation":false,"usgs":true,"family":"Hamlet","given":"Alan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":492348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Se-Yeun","contributorId":76657,"corporation":false,"usgs":true,"family":"Lee","given":"Se-Yeun","email":"","affiliations":[],"preferred":false,"id":492354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stumbaugh, Matt R.","contributorId":17916,"corporation":false,"usgs":true,"family":"Stumbaugh","given":"Matt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":492349,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elsner, Marketa","contributorId":55344,"corporation":false,"usgs":true,"family":"Elsner","given":"Marketa","email":"","affiliations":[],"preferred":false,"id":492351,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Norheim, Robert","contributorId":75446,"corporation":false,"usgs":true,"family":"Norheim","given":"Robert","email":"","affiliations":[],"preferred":false,"id":492353,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lutz, Eric R.","contributorId":57775,"corporation":false,"usgs":true,"family":"Lutz","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":492352,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mantua, Nathan J.","contributorId":83429,"corporation":false,"usgs":true,"family":"Mantua","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492355,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70074738,"text":"70074738 - 2014 - Elk monitoring in Lewis and Clark National Historical Park: 2008-2012 synthesis report","interactions":[],"lastModifiedDate":"2014-04-09T15:00:12","indexId":"70074738","displayToPublicDate":"2014-01-01T14:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":54,"text":"Natural Resource Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NCCN/NRTR--2014/837","title":"Elk monitoring in Lewis and Clark National Historical Park: 2008-2012 synthesis report","docAbstract":"Maintaining elk (Cervus elaphus roosevelti) herds that frequent Lewis and Clark National Historical Park (NHP) is central to the park’s purpose of preserving the historic, cultural, scenic, and natural resources associated with the winter encampment of the Lewis and Clark expedition. Elk were critically important to the Lewis and Clark expedition in providing food and hides that sustained the expedition during the winter of 1805-06 and supplied them for their return east during 1806. Today, elk remain a key component of interpreting the Lewis and Clark story to over 200,000 park visitors each year at the Fort Clatsop visitor center.
\nIn 2008, the US Geological Survey (USGS) began collaborating with Lewis and Clark NHP and \nthe NPS North Coast and Cascades Network to develop a protocol for monitoring long-term \nchanges in the magnitude and spatial patterns of elk use within and adjacent to Lewis and Clark \nNHP (Griffin et al. 2011). Specific objectives of the monitoring program were to measure trends \nin (1) relative use of the Fort Clatsop unit by elk during winter; (2) the proportion of areas where \nelk sign is present in the Fort Clatsop unit in winter; and (3) the frequency of elk sightings from \nroads in and around the Fort Clatsop unit. This report synthesizes the results of the first four \nyears of monitoring elk distribution and use in Lewis and Clark NHP from 2008-2012. We also \npresent data from FY2012 (Appendix 1), in lieu of an annual report for that year.
\nWe used fecal pellet group surveys as the cornerstone for monitoring trends in both relative use \nof the Fort Clatsop Unit by elk and the proportion of areas where elk sign was present at the end \nof winter. We estimated pellet group density based on data collected from a network of fecal \npellet plots distributed systematically throughout the unit. We developed a double observer \nsampling scheme that enabled us to estimate detection biases and improve the accuracy of pellet \ngroup density estimates. We computed the estimated detection probability for any pellet group \nobserved; this probability was a function of the pellet group size and stage of decay, as well as \nlighting and vegetation conditions, and the number of observers (one or two) searching for \npellets in that subplot. We then used these estimated detection probabilities to adjust the raw \ncounts of the detected pellet groups to account for groups that likely went undetected under \nsimilar pellet and environmental conditions (each observed pellet group was weighted by the \ninverse of its estimated detection probability). We also used results from the late winter fecal \npellet surveys to quantify the proportion of areas where elk pellets occurred (PAO), which was \nbased on the presence of fecal pellet groups and estimation of detection biases (i.e., accounting \nfor pellet groups that likely went undetected by both observers). In this synthesis, we report \ntemporal trends in both pellet group density and PAO from 2008-2012, based on weighted linear \nregression analyses as well as spatial variation of pellet group densities over time.
\nWe completed late winter fecal pellet surveys at 61-66 plots annually, depending on yearly \nvariation in access. We cleared fecal pellets at survey points in late October / early November \neach year and returned in late February / early March to count pellet groups left by elk over the \nwinter. The estimated probability that a pellet group was detected by any one observer during \nlate winter was affected most by the pellet group size and was less affected by decay class and \nlighting conditions. Per-observer detection probabilities ranged from as low as ~10-15% for \nsingle pellets to ~85-90% for pellet groups with 50 pellets. Average pellet group density in the \nFort Clatsop unit ranged annually from 0.58 (+/- 1.43 standard error [SE]) to 0.93 (+/- 2.25 SE) \npellet groups per 3-m radius subplot. Pellet group density declined over time, at approximately 8.8% per year (+/- 2.5% SE), but that slope was not statistically distinguishable from zero (2-\ntailed P=0.16). Following correction for detection biases, the proportion of surveyed points used \nby elk (i.e., PAO) ranged from 0.44 (+/- 0.07 SE) to 0.53 (+/- 0.07 SE) during the 4 winters. The \nestimated proportion of areas where elk pellets occurred (PAO) declined at a rate of 2.6% per \nyear (+/- 1.2% per year SE), but that trend also was not statistically distinguishable from zero (2-\ntailed P=0.17). Statistical significance of a measure’s trend depends on both the magnitude (i.e., \nslope) of the observed trend and the number of years the trend continues in the same increasing \nor decreasing direction. Through simulation modeling we determined how many additional years \nof surveys would be required to reveal a statistically significant trend, based on the same trends \nin pellet group density and PAO, and associated variation, observed from 2009-2012. Assuming \nthe same trends persist in the future, simulations indicated that there is a 70% probability that a \nstatistically significant trend would be detected after two more years of conducting pellet group \nsurveys.
\nRelative use by elk during winter, as indexed by elk pellet group density, was generally greatest \nin the southeast region of the Fort Clatsop unit in or near the large freshwater marsh at the mouth \nof Colewort Creek and adjacent upland areas. Pellet group density was also higher than average \nin the north-central forested area, not far from a privately-owned pasture north of the park \nboundary. This spatial pattern in pellet group densities across the Fort Clatsop unit was \nconsistent across all four years, although specific pellet group densities varied from year to year. \nPellet group density declined significantly over time at two points in the southeast of the Fort \nClatsop unit, even though pellet group density at those points remained higher than the unit \naverage. Pellet group density increased significantly over time at one point in the north-central \nregion, and at one point in the south-central region of the unit, indicating a slight shift in the \ndistribution of elk use within the Fort Clatsop Unit over the four years.
\nAs an index of visitors’ opportunities to see elk in and around the Fort Clatsop Unit, we \nconducted replicated roadside elk surveys 3-5 times monthly during February, April, June, \nAugust, October and December 2008-2012. During each morning of survey, we searched for elk \nalong four routes that totaled 32 km. We examined bimonthly trends in the numbers of elk \ngroups seen, the total number of elk seen, and the observed composition ratios for those six \nmonths of the year. The average number of elk groups seen per survey ranged from 0.75 (+/- \n0.32 SE) during February to a peak of 1.95 (+/- 0.36 SE) during June. Despite this seasonal \nvariation in numbers of elk groups seen, the average total number of elk seen per morning was \nless variable. The average ratios of antlered elk to antlerless adult elk (i.e., bulls:cows) and \ncalves to antlerless adult elk (i.e. calves:cows) varied seasonally, with the highest of both \naverage ratios observed in August. We detected no significant trends in the average number of \nelk groups and total numbers of elk seen per survey from 2008-2012. Similarly, ratios of calves \nand antlered elk per antlerless elk did not differ over time.
\nElk groups were frequently seen from January to August in the southeast region of the Fort \nClatsop unit, in the vicinity of Colewort Creek. Outside of NPS lands, we observed elk most \nfrequently in open areas near the Astoria regional airport, in the pastures and forests immediately \nnorth of the Fort Clatsop unit and, prior to the construction of a residential development, in a \npasture northwest of the Fort Clatsop unit.
\nElk monitoring at Lewis and Clark NHP is still in its initial years and additional monitoring will \nbe required to verify trends that appear to be emerging. For example, the initial monitoring \nsuggested incipient declining trends in both pellet group density and proportion of plots with \npellets present, as well as, potentially, a small shift in elk distribution away from a new trail that \nwas recently constructed in the southeast portion of the Fort Clatsop unit. Continued monitoring \nwill aid in determining whether this local change in distribution persists (or, alternatively, \nresulted from short-term random variation), and whether there will be any positive or negative \neffect in the northern portion of the unit where a new trail has been constructed. High variability \nin road counts prevented our ability to find any clear trend in numbers or composition of elk \nobserved in and near Fort Clatsop, but changes in the patterns of observations of elk from \nroadways suggest that residential development outside the park has reduced the available habitat \nfor elk in some of the areas surveyed, and may have affected spatial use patterns of elk adjacent \nto some areas of the park. In addition to monitoring future effects of land use changes outside the \npark, continued monitoring may also prove useful for assessing elk responses to natural \nsuccession in forests disturbed by windthrow in December 2007 and to NPS vegetation \nmanagement activities such as variable density thinning in the forest, trail development, and \nrestoration at Otter Point tidal area and Colewort Creek Slough.
","language":"English","publisher":"National Park Service","usgsCitation":"Griffin, P., Jenkins, K.J., Cole, C., Clatterbuck, C., Boetsch, J., and Beirne, K., 2014, Elk monitoring in Lewis and Clark National Historical Park: 2008-2012 synthesis report: Natural Resource Technical Report NPS/NCCN/NRTR--2014/837, xii, 56 p.","productDescription":"xii, 56 p.","numberOfPages":"72","temporalStart":"2008-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-053359","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":286057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281885,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2206594"}],"country":"United States","state":"Oregon;Washington","otherGeospatial":"Lewis And Clark National Historical Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.1,45.9 ], [ -124.1,46.3 ], [ -123.8,46.3 ], [ -123.8,45.9 ], [ -124.1,45.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53559432e4b0120853e8bf5d","contributors":{"authors":[{"text":"Griffin, Paul C.","contributorId":7802,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul C.","affiliations":[],"preferred":false,"id":489768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","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":489767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Carla","contributorId":44809,"corporation":false,"usgs":true,"family":"Cole","given":"Carla","email":"","affiliations":[],"preferred":false,"id":489769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clatterbuck, Chris","contributorId":53697,"corporation":false,"usgs":true,"family":"Clatterbuck","given":"Chris","email":"","affiliations":[],"preferred":false,"id":489770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boetsch, John","contributorId":57766,"corporation":false,"usgs":true,"family":"Boetsch","given":"John","affiliations":[],"preferred":false,"id":489771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beirne, Katherine","contributorId":58754,"corporation":false,"usgs":true,"family":"Beirne","given":"Katherine","affiliations":[],"preferred":false,"id":489772,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70124576,"text":"70124576 - 2014 - Resource selection and space use by sea ducks during the non-breeding season: Implications for habitat conservation planning in urbanized estuaries","interactions":[],"lastModifiedDate":"2017-10-30T11:34:33","indexId":"70124576","displayToPublicDate":"2014-01-01T14:39:00","publicationYear":"2014","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":"Resource selection and space use by sea ducks during the non-breeding season: Implications for habitat conservation planning in urbanized estuaries","docAbstract":"Wide-ranging marine birds rely on multiple habitats for wintering, breeding, and migrating, and their conservation may be dependent on protecting networks of key areas. Urbanized estuaries are critical wintering and stopover areas for many declining sea ducks in North America; however, conservation measures within estuaries are difficult to establish given lack of knowledge about habitat use by these species and the variety of competing human interests. We applied hierarchical modeling to evaluate resource selection of sea ducks (surf scoters, Melanitta perspicillata) wintering in San Francisco Bay, California, USA, a large and highly urbanized estuary. We also examined their distribution, home range, and movements with respect to key habitat features and regions within the estuary. Herring roe was the strongest predictor of bird locations; however, eelgrass, water depth and salinity were also highly-ranked, with sea ducks using deeper areas of higher salinity associated with herring roe and eelgrass presence during mid-winter. Sea ducks were also strongly associated with ferry routes, suggesting these areas may contain resources that are too important to avoid and emphasizing the need to better understand water traffic effects. Movements and home range size differed between males and females in early winter but became more similar in late winter. Birds traveled farther and used several sub-bays in early winter compared to mid-winter when herring roe availability peaked in the Central Bay. Our findings identified key environmental variables, highlighted core use areas, and documented critical periods for consideration when developing conservation plans for sea ducks in urbanized estuaries.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2013.10.021","usgsCitation":"De La Cruz, S.E., Eadie, J.M., Miles, A.K., Yee, J., Spragens, K., Palm, E., and Takekawa, J.Y., 2014, Resource selection and space use by sea ducks during the non-breeding season: Implications for habitat conservation planning in urbanized estuaries: Biological Conservation, v. 169, p. 68-78, https://doi.org/10.1016/j.biocon.2013.10.021.","productDescription":"11 p.","startPage":"68","endPage":"78","numberOfPages":"11","ipdsId":"IP-028582","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5228,37.4452 ], [ -122.5228,38.1442 ], [ -122.0369,38.1442 ], [ -122.0369,37.4452 ], [ -122.5228,37.4452 ] ] ] } } ] }","volume":"169","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54140b26e4b082fed288b963","contributors":{"authors":[{"text":"De La Cruz, Susan E. W. 0000-0001-6315-0864 sdelacruz@usgs.gov","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":76239,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","middleInitial":"E. W.","affiliations":[],"preferred":false,"id":500911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":500910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yee, Julie","contributorId":10343,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","affiliations":[],"preferred":false,"id":500909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spragens, Kyle A.","contributorId":98452,"corporation":false,"usgs":true,"family":"Spragens","given":"Kyle A.","affiliations":[],"preferred":false,"id":500912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Palm, Eric C.","contributorId":104830,"corporation":false,"usgs":true,"family":"Palm","given":"Eric C.","affiliations":[],"preferred":false,"id":500913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500908,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199971,"text":"70199971 - 2014 - Source and progression of a submarine landslide and tsunami: The 1964 Great Alaska earthquake at Valdez","interactions":[],"lastModifiedDate":"2021-04-06T13:43:11.545868","indexId":"70199971","displayToPublicDate":"2014-01-01T14:35:15","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7514,"text":"Journal of Geophysical Research - Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Source and progression of a submarine landslide and tsunami: The 1964 Great Alaska earthquake at Valdez","docAbstract":"Like many subduction zone earthquakes, the deadliest aspects of the 1964 M = 9.2 Alaska earthquake were the tsunamis it caused. The worst of these were generated by local submarine landslides induced by the earthquake. These caused high runups, engulfing several coastal towns in Prince William Sound. In this paper, we study one of these cases in detail, the Port Valdez submarine landslide and tsunami. We combine eyewitness reports, preserved film, and careful posttsunami surveys with new geophysical data to inform numerical models for landslide tsunami generation. We review the series of events as recorded at Valdez old town and then determine the corresponding subsurface events that led to the tsunami. We build digital elevation models of part of the pretsunami and posttsunami fjord‐head delta. Comparing them reveals a ~1500 m long region that receded 150 m to the east, which we interpret as the primary delta landslide source. Multibeam imagery and high‐resolution seismic reflection data identify a ~400 m wide chute with hummocky deposits at its terminus, which may define the primary slide path. Using these elements we run hydrodynamic models of the landslide‐driven tsunamis that match observations of current direction, maximum inundation, and wave height at Valdez old town. We speculate that failure conditions at the delta front may have been influenced by manmade changes in drainage patterns as well as the fast retreat of Valdez and other glaciers during the past century.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JB011514","usgsCitation":"Parsons, T.E., Geist, E.L., Ryan, H.F., Lee, H., Haeussler, P.J., Lynett, P., Hart, P.E., Sliter, R.W., and Roland, E.C., 2014, Source and progression of a submarine landslide and tsunami: The 1964 Great Alaska earthquake at Valdez: Journal of Geophysical Research - Solid Earth, v. 119, no. 11, p. 8502-8516, https://doi.org/10.1002/2014JB011514.","productDescription":"15 p.","startPage":"8502","endPage":"8516","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011514","text":"Publisher Index Page"},{"id":358210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Valdez","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -146.964111328125,\n 60.85293796664351\n ],\n [\n -146.0137939453125,\n 60.85293796664351\n ],\n [\n -146.0137939453125,\n 61.22531306274158\n ],\n [\n -146.964111328125,\n 61.22531306274158\n ],\n [\n -146.964111328125,\n 60.85293796664351\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-11-16","publicationStatus":"PW","scienceBaseUri":"5bc038ebe4b0fc368eb53b17","contributors":{"authors":[{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":747533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Holly F. hryan@usgs.gov","contributorId":2375,"corporation":false,"usgs":true,"family":"Ryan","given":"Holly","email":"hryan@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":747534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Homa J. hjlee@usgs.gov","contributorId":1021,"corporation":false,"usgs":true,"family":"Lee","given":"Homa J.","email":"hjlee@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":747535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":747536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lynett, Patrick","contributorId":24298,"corporation":false,"usgs":true,"family":"Lynett","given":"Patrick","affiliations":[],"preferred":false,"id":747537,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747538,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747539,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roland, Emily C. eroland@usgs.gov","contributorId":5075,"corporation":false,"usgs":true,"family":"Roland","given":"Emily","email":"eroland@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":false,"id":747540,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70103571,"text":"70103571 - 2014 - Interspecific hybridization contributes to high genetic diversity and apparent effective population size in an endemic population of mottled ducks (Anas fulvigula maculosa)","interactions":[],"lastModifiedDate":"2023-10-11T11:00:10.69262","indexId":"70103571","displayToPublicDate":"2014-01-01T14:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Interspecific hybridization contributes to high genetic diversity and apparent effective population size in an endemic population of mottled ducks (Anas fulvigula maculosa)","title":"Interspecific hybridization contributes to high genetic diversity and apparent effective population size in an endemic population of mottled ducks (Anas fulvigula maculosa)","docAbstract":"Under drift-mutation equilibrium, genetic diversity is expected to be correlated with effective population size (Ne). Changes in population size and gene flow are two important processes that can cause populations to deviate from this expected relationship. In this study, we used DNA sequences from six independent loci to examine the influence of these processes on standing genetic diversity in endemic mottled ducks (Anas fulvigula) and geographically widespread mallards (A. platyrhynchos), two species known to hybridize. Mottled ducks have an estimated census size that is about two orders-of-magnitude smaller than that of mallards, yet these two species have similar levels of genetic diversity, especially at nuclear DNA. Coalescent analyses suggest that a population expansion in the mallard at least partly explains this discrepancy, but the mottled duck harbors higher genetic diversity and apparent N e than expected for its census size even after accounting for a population decline. Incorporating gene flow into the model, however, reduced the estimated Ne of mottled ducks to 33 % of the equilibrium Ne and yielded an estimated Ne consistent with census size. We also examined the utility of these loci to distinguish among mallards, mottled ducks, and their hybrids. Most putatively pure individuals were correctly assigned to species, but the power for detecting hybrids was low. Although hybridization with mallards potentially poses a conservation threat to mottled ducks by creating a risk of extinction by hybridization, introgression of mallard alleles has helped maintain high genetic diversity in mottled ducks and might be important for the adaptability and survival of this species.","language":"English","publisher":"Springer","doi":"10.1007/s10592-013-0557-9","usgsCitation":"Peters, J.L., Sonsthagen, S.A., Lavretsky, P., Rezsutek, M., Johnson, W.P., and McCracken, K.G., 2014, Interspecific hybridization contributes to high genetic diversity and apparent effective population size in an endemic population of mottled ducks (Anas fulvigula maculosa): Conservation Genetics, v. 15, no. 3, p. 509-520, https://doi.org/10.1007/s10592-013-0557-9.","productDescription":"12 p.","startPage":"509","endPage":"520","numberOfPages":"12","ipdsId":"IP-049098","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":286935,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.52139948340941,\n 25.517045542055328\n ],\n [\n -95.43725598546546,\n 28.4242449603437\n ],\n [\n -90.29317742317083,\n 28.811696343622827\n ],\n [\n -87.25797253724652,\n 29.174545560676492\n ],\n [\n -83.77726234020263,\n 28.932536596975567\n ],\n [\n -81.75212334356085,\n 24.252300027300848\n ],\n [\n -79.91930106587925,\n 25.54225062814716\n ],\n [\n -81.40459680917478,\n 30.66589487608381\n ],\n [\n -74.07473327568098,\n 35.99881368736085\n ],\n [\n -63.3410752307222,\n 43.78196040913045\n ],\n [\n -59.04594506684255,\n 45.9267284396858\n ],\n [\n -67.67615479262442,\n 49.533762658619764\n ],\n [\n -85.14781140905862,\n 55.91039869635409\n ],\n [\n -93.94154651876032,\n 57.9543975230051\n ],\n [\n -111.67964563140356,\n 66.90825094112608\n ],\n [\n -121.21842852876847,\n 69.97051560407324\n ],\n [\n -144.59713649130612,\n 70.57289186313639\n ],\n [\n -161.47353603688245,\n 71.28224255060957\n ],\n [\n -168.964690444925,\n 68.1930529187591\n ],\n [\n -167.89117753122085,\n 62.85682906580794\n ],\n [\n -168.14820162802138,\n 51.779028051711464\n ],\n [\n -149.98422209055784,\n 56.255521973084825\n ],\n [\n -142.5633437127352,\n 58.69197452327984\n ],\n [\n -129.83208083135924,\n 50.270389804069566\n ],\n [\n -125.23275728819462,\n 45.24220269274949\n ],\n [\n -124.74967151173198,\n 39.15659664404902\n ],\n [\n -109.63074149094055,\n 21.160122923529173\n ],\n [\n -96.52139948340941,\n 25.517045542055328\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-12-18","publicationStatus":"PW","scienceBaseUri":"536a0463e4b063fb73c0aa08","contributors":{"authors":[{"text":"Peters, Jeffrey L.","contributorId":34402,"corporation":false,"usgs":true,"family":"Peters","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":493401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":493400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavretsky, Philip","contributorId":60542,"corporation":false,"usgs":true,"family":"Lavretsky","given":"Philip","email":"","affiliations":[],"preferred":false,"id":493402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rezsutek, Michael","contributorId":90223,"corporation":false,"usgs":true,"family":"Rezsutek","given":"Michael","email":"","affiliations":[],"preferred":false,"id":493404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, William P.","contributorId":107288,"corporation":false,"usgs":false,"family":"Johnson","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":493405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCracken, Kevin G.","contributorId":72309,"corporation":false,"usgs":false,"family":"McCracken","given":"Kevin","email":"","middleInitial":"G.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":493403,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70125971,"text":"70125971 - 2014 - Trace element geochemistry (Li, Ba, Sr, and Rb) using Curiosity's ChemCam: early results for Gale crater from Bradbury Landing Site to Rocknest","interactions":[],"lastModifiedDate":"2017-06-30T14:07:39","indexId":"70125971","displayToPublicDate":"2014-01-01T13:20:28","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Trace element geochemistry (Li, Ba, Sr, and Rb) using Curiosity's ChemCam: early results for Gale crater from Bradbury Landing Site to Rocknest","docAbstract":"The ChemCam instrument package on the Mars rover, Curiosity, provides new capabilities to probe the abundances of certain trace elements in the rocks and soils on Mars using the laser-induced breakdown spectroscopy technique. We focus on detecting and quantifying Li, Ba, Rb, and Sr in targets analyzed during the first 100 sols, from Bradbury Landing Site to Rocknest. Univariate peak area models and multivariate partial least squares models are presented. Li, detected for the first time directly on Mars, is generally low (<15 ppm). The lack of soil enrichment in Li, which is highly fluid mobile, is consistent with limited influx of subsurface waters contributing to the upper soils. Localized enrichments of up to ~60 ppm Li have been observed in several rocks but the host mineral for Li is unclear. Bathurst_Inlet is a fine-grained bedrock unit in which several analysis locations show a decrease in Li and other alkalis with depth, which may imply that the unit has undergone low-level aqueous alteration that has preferentially drawn the alkalis to the surface. Ba (~1000 ppm) was detected in a buried pebble in the Akaitcho sand ripple and it appears to correlate with Si, Al, Na, and K, indicating a possible feldspathic composition. Rb and Sr are in the conglomerate Link at abundances >100 ppm and >1000 ppm, respectively. These analysis locations tend to have high Si and alkali abundances, consistent with a feldspar composition. Together, these trace element observations provide possible evidence of magma differentiation and aqueous alteration.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","doi":"10.1002/2013JE004517","usgsCitation":"Ollila, A.M., Newsom, H., Clark, B., Wiens, R., Cousin, A., Blank, J., Mangold, N., Sautter, V., Maurice, S., Clegg, S.M., Gasnault, O., Forni, O., Tokar, R., Lewin, E., Dyar, M., Lasue, J., Anderson, R., McLennan, S.M., Bridges, J., Vaniman, D., Lanza, N., Fabre, C., Melikechi, N., Perett, G.M., Campbell, J., King, P.L., Barraclough, B., Delapp, D., Johnstone, S., Meslin, P., Rosen-Gooding, A., and Williams, J., 2014, Trace element geochemistry (Li, Ba, Sr, and Rb) using Curiosity's ChemCam: early results for Gale crater from Bradbury Landing Site to Rocknest: Journal of Geophysical Research E: Planets, v. 119, no. 1, p. 255-285, https://doi.org/10.1002/2013JE004517.","productDescription":"31 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Enough is known, however, to conclude that traditional approaches to exposure assessment for metals would not be adequate to assess risks from Me-ENMs.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Frontiers of nanoscience: Nanoscience and the environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-08-099408-6.00005-0","usgsCitation":"Luoma, S.N., Khan, F., and Croteau, M., 2014, Bioavailability and bioaccumulation of metal-based engineered nanomaterials in aquatic environments: Concepts and processes, chap. 5 of Frontiers of nanoscience: Nanoscience and the environment, v. 7, p. 157-193, https://doi.org/10.1016/B978-0-08-099408-6.00005-0.","productDescription":"37 p.","startPage":"157","endPage":"193","numberOfPages":"37","ipdsId":"IP-053018","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":294848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e692ce4b092f17df5a71c","contributors":{"authors":[{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":498959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khan, Farhan R.","contributorId":102407,"corporation":false,"usgs":true,"family":"Khan","given":"Farhan R.","affiliations":[],"preferred":false,"id":498961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Croteau, Marie-Noele","contributorId":51668,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie-Noele","email":"","affiliations":[],"preferred":false,"id":498960,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201991,"text":"70201991 - 2014 - Spatially explicit modeling to evaluate regional stream water quality","interactions":[],"lastModifiedDate":"2019-02-05T13:09:51","indexId":"70201991","displayToPublicDate":"2014-01-01T13:09:44","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Spatially explicit modeling to evaluate regional stream water quality","docAbstract":"Spatially referenced regressions on watershed attributes (SPARROW) models have been developed and applied over the past two decades to address the need for large-scale, spatially explicit information on stream water quality conditions. 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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Comprehensive water quality and purification","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-382182-9.00013-X","usgsCitation":"Preston, S.D., Alexander, R.B., Schwarz, G., and Smith, R.A., 2014, Spatially explicit modeling to evaluate regional stream water quality, chap. of Comprehensive water quality and purification, v. 1, p. 221-244, https://doi.org/10.1016/B978-0-12-382182-9.00013-X.","productDescription":"24 p.","startPage":"221","endPage":"244","ipdsId":"IP-039865","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":361028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Preston, Stephen D. 0000-0003-1515-6692 spreston@usgs.gov","orcid":"https://orcid.org/0000-0003-1515-6692","contributorId":1463,"corporation":false,"usgs":true,"family":"Preston","given":"Stephen","email":"spreston@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":756466,"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":756464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarz, Gregory 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":208292,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory","email":"gschwarz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":756463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"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":756465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70132429,"text":"70132429 - 2014 - Human infrastructure and invasive plant occurrence across rangelands of southwestern Wyoming, U.S.A.","interactions":[],"lastModifiedDate":"2020-12-31T20:44:42.170394","indexId":"70132429","displayToPublicDate":"2014-01-01T13:00:00","publicationYear":"2014","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":"Human infrastructure and invasive plant occurrence across rangelands of southwestern Wyoming, U.S.A.","docAbstract":"Although human influence across rural landscapes is often discussed, interactions between the native, natural systems and human activities are challenging to measure explicitly. We assessed the distribution of introduced, invasive species as related to anthropogenic infrastructure and environmental conditions across southwestern Wyoming. to discern direct correlations as well as covariate influences between land use, land cover, and abundance of invasive plants, and assess the supposition that these features affect surrounding rangeland conditions. Our sample units were 1 000 m long and extended outward from target features, which included roads, oil and gas well pads, pipelines, power lines, and featureless background sites. Sample sites were distributed across the region using a stratified, random design with a frame that represented features and land-use intensity. In addition to land-use gradients, we captured a representative, but limited, range of variability in climate, soils, geology, topography, and dominant vegetation. Several of these variables proved significant, in conjunction with distance from anthropogenic features, in regression models of invasive plant abundance. We used general linear models to demonstrate and compare associations between invasive plant frequency and Euclidian distance from features, natural logarithm transformed distances (log-linear), and environmental variables which were presented as potential covariates. We expected a steep curvilinear (log or exponential) decline trending towards an asymptote along the axis representing high abundance near features with rapid decrease beyond approximately 50–100 m. Some of the associations we document exhibit this pattern, but we also found some invasive plant distributions that extended beyond our expectations, suggesting a broader distribution than anticipated. Our results provide details that can inform local efforts for management and control of invasive species, and they provide evidence of the different associations between natural patterns and human land use exhibited by nonnative species in this rural setting, such as the indirect effects of humans beyond impact areas.
This study examines the effect on aquatic copper toxicity of the chemical fractionation of fulvic acid (FA) that results from its association with iron and aluminum oxyhydroxide precipitates. Fractionated and unfractionated FAs obtained from streamwater and suspended sediment were utilized in acute Cu toxicity tests on ,i>Ceriodaphnia dubia. Toxicity test results with equal FA concentrations (6 mg FA/L) show that the fractionated dissolved FA was 3 times less effective at reducing Cu toxicity (EC50 13 ± 0.6 μg Cu/L) than were the unfractionated dissolved FAs (EC50 39 ± 0.4 and 41 ± 1.2 μg Cu/L). The fractionation is a consequence of preferential sorption of molecules having strong metal-binding (more aromatic) moieties to precipitating Fe- and Al-rich oxyhydroxides, causing the remaining dissolved FA to be depleted in these functional groups. As a result, there is more bioavailable dissolved Cu in the water and hence greater potential for Cu toxicity to aquatic organisms. In predicting Cu toxicity, biotic ligand models (BLMs) take into account dissolved organic carbon (DOC) concentration; however, unless DOC characteristics are accounted for, model predictions can underestimate acute Cu toxicity for water containing fractionated dissolved FA. This may have implications for water-quality criteria in systems containing Fe- and Al-rich sediment, and in mined and mineralized areas in particular. Optical measurements, such as specific ultraviolet absorbance at 254 nm (SUVA254), show promise for use as spectral indicators of DOC chemical fractionation and inferred increased Cu toxicity.
","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es502243m","collaboration":"Colorado School of Mines, NOAA, INSTAAR, University of Colorado, Western Washington University, St. Joseph’s College of Maine","usgsCitation":"Smith, K.S., Ranville, J.F., Lesher, E.K., Diedrich, D.J., McKnight, D.M., and Sofield, R.M., 2014, Fractionation of fulvic acid by iron and aluminum oxides: influence on copper toxicity to Ceriodaphnia dubia: Environmental Science & Technology, v. 48, no. 20, p. 11934-11943, https://doi.org/10.1021/es502243m.","productDescription":"10 p.","startPage":"11934","endPage":"11943","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055894","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473252,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es502243m","text":"Publisher Index Page"},{"id":300977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"20","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-07","publicationStatus":"PW","scienceBaseUri":"556ed3bde4b0d9246a9fa7db","chorus":{"doi":"10.1021/es502243m","url":"http://dx.doi.org/10.1021/es502243m","publisher":"American Chemical Society (ACS)","authors":"Smith Kathleen S., Ranville James F., Lesher Emily K., Diedrich Daniel J., McKnight Diane M., Sofield Ruth M.","journalName":"Environmental Science & Technology","publicationDate":"10/21/2014","auditedOn":"3/4/2016","publiclyAccessibleDate":"10/8/2014"},"contributors":{"authors":[{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":547928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ranville, James F.","contributorId":141192,"corporation":false,"usgs":false,"family":"Ranville","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":13709,"text":"Colorrado School of Mines, Golden","active":true,"usgs":false}],"preferred":false,"id":547929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lesher, Emily K.","contributorId":141000,"corporation":false,"usgs":false,"family":"Lesher","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":13642,"text":"St. Joseph’s College of Maine, Natural Sciences Dept.","active":true,"usgs":false}],"preferred":false,"id":547930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diedrich, Daniel J.","contributorId":141001,"corporation":false,"usgs":false,"family":"Diedrich","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":13643,"text":"NOAA Office of Response & Restoration","active":true,"usgs":false}],"preferred":false,"id":547931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":547932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sofield, Ruth M.","contributorId":141003,"corporation":false,"usgs":false,"family":"Sofield","given":"Ruth","email":"","middleInitial":"M.","affiliations":[{"id":13645,"text":"Western Washington Univ., Dept. of Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":547933,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70147934,"text":"70147934 - 2014 - Spatially explicit modeling of lesser prairie-chicken lek density in Texas","interactions":[],"lastModifiedDate":"2015-05-11T11:02:54","indexId":"70147934","displayToPublicDate":"2014-01-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit modeling of lesser prairie-chicken lek density in Texas","docAbstract":"As with many other grassland birds, lesser prairie-chickens (Tympanuchus pallidicinctus) have experienced population declines in the Southern Great Plains. Currently they are proposed for federal protection under the Endangered Species Act. In addition to a history of land-uses that have resulted in habitat loss, lesser prairie-chickens now face a new potential disturbance from energy development. We estimated lek density in the occupied lesser prairie-chicken range of Texas, USA, and modeled anthropogenic and vegetative landscape features associated with lek density. We used an aerial line-transect survey method to count lesser prairie-chicken leks in spring 2010 and 2011 and surveyed 208 randomly selected 51.84-km(2) blocks. We divided each survey block into 12.96-km(2) quadrats and summarized landscape variables within each quadrat. We then used hierarchical distance-sampling models to examine the relationship between lek density and anthropogenic and vegetative landscape features and predict how lek density may change in response to changes on the landscape, such as an increase in energy development. Our best models indicated lek density was related to percent grassland, region (i.e., the northeast or southwest region of the Texas Panhandle), total percentage of grassland and shrubland, paved road density, and active oil and gas well density. Predicted lek density peaked at 0.39leks/12.96km(2) (SE=0.09) and 2.05leks/12.96km(2) (SE=0.56) in the northeast and southwest region of the Texas Panhandle, respectively, which corresponds to approximately 88% and 44% grassland in the northeast and southwest region. Lek density increased with an increase in total percentage of grassland and shrubland and was greatest in areas with lower densities of paved roads and lower densities of active oil and gas wells. We used the 2 most competitive models to predict lek abundance and estimated 236 leks (CV=0.138, 95% CI=177-306leks) for our sampling area. Our results suggest that managing landscapes to maintain a greater percentage of grassland and shrubland on the landscape with a greater ratio of grasses to shrubs in the northeast Panhandle should promote greater lek density. Furthermore, increases in paved road and active oil and gas well densities may reduce lek density. This information will be useful for future conservation planning efforts for land protection, policy decisions, and decision analyses.
","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/jwmg.646","usgsCitation":"Timmer, J.M., Butler, M., Ballard, W., Boal, C.W., and Whitlaw, H.A., 2014, Spatially explicit modeling of lesser prairie-chicken lek density in Texas: Journal of Wildlife Management, v. 78, no. 1, p. 142-152, https://doi.org/10.1002/jwmg.646.","productDescription":"11 p.","startPage":"142","endPage":"152","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042880","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-16","publicationStatus":"PW","scienceBaseUri":"5551d2bbe4b0a92fa7e93c10","contributors":{"authors":[{"text":"Timmer, Jennifer M.","contributorId":140717,"corporation":false,"usgs":false,"family":"Timmer","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":546625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butler, M.J.","contributorId":83061,"corporation":false,"usgs":true,"family":"Butler","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":546626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballard, Warren","contributorId":80398,"corporation":false,"usgs":true,"family":"Ballard","given":"Warren","affiliations":[],"preferred":false,"id":546627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":546433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitlaw, Heather A.","contributorId":13026,"corporation":false,"usgs":true,"family":"Whitlaw","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":546628,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}