{"pageNumber":"1616","pageRowStart":"40375","pageSize":"25","recordCount":184605,"records":[{"id":70039941,"text":"70039941 - 2012 - Persistence and extirpation in invaded landscapes: patch characteristics and connectivity determine effects of non-native predatory fish on native salamanders","interactions":[],"lastModifiedDate":"2013-03-04T20:15:55","indexId":"70039941","displayToPublicDate":"2012-09-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Persistence and extirpation in invaded landscapes: patch characteristics and connectivity determine effects of non-native predatory fish on native salamanders","docAbstract":"Studies have demonstrated negative effects of non-native, predatory fishes on native amphibians, yet it is still unclear why some amphibian populations persist, while others are extirpated, following fish invasion. We examined this question by developing habitat-based occupancy models for the long-toed salamander (Ambystoma macrodactylum) and nonnative fish using survey data from 1,749 water bodies across 470 catchments in the Northern Rocky Mountains, USA. We first modeled the habitat associations of salamanders at 468 fishless water bodies in 154 catchments where non-native fish were historically, and are currently, absent from the entire catchment. Wethen applied this habitat model to the complete data set to predict the probability of salamander occupancy in each water body, removing any effect of fish presence. Finally, we compared field-observed occurrences of salamanders and fish to modeled probability of salamander occupancy. Suitability models indicated that fish and salamanders had similar habitat preferences, possibly resulting in extirpations of salamander populations from entire catchments where suitable habitats were limiting. Salamanders coexisted with non-native fish in some catchments by using marginal quality, isolated (no inlet or outlet) habitats that remained fishless. They rarely coexisted with fish within individual water bodies and only where habitat quality was highest. Connectivity of water bodies via streams resulted in increased probability of fish invasion and consequently reduced probability of salamander occupancy.These results could be used to identify and prioritize catchments and water bodies where control measures would be most effective at restoring amphibian populations. Our approach could be useful as a framework for improved investigations into questions of persistence and extirpation of native species when non-native species have already become established.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10530-012-0317-7","usgsCitation":"Pilliod, D., Arkle, R., and Maxell, B.A., 2012, Persistence and extirpation in invaded landscapes: patch characteristics and connectivity determine effects of non-native predatory fish on native salamanders: Biological Invasions, v. 15, no. 3, p. 671-685, https://doi.org/10.1007/s10530-012-0317-7.","productDescription":"15 p.","startPage":"671","endPage":"685","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":261936,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261931,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-012-0317-7","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Rocky Mountains","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-09-02","publicationStatus":"PW","scienceBaseUri":"505a76dee4b0c8380cd7835f","contributors":{"authors":[{"text":"Pilliod, David S.","contributorId":101760,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[],"preferred":false,"id":467240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arkle, Robert S.","contributorId":55679,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert S.","affiliations":[],"preferred":false,"id":467238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maxell, Bryce A.","contributorId":100113,"corporation":false,"usgs":true,"family":"Maxell","given":"Bryce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467239,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039919,"text":"70039919 - 2012 - Resource and hazard implications of gas hydrates in the Northern Gulf of Mexico: Results of the 2009 Joint Industry Project Leg II Drilling Expedition","interactions":[],"lastModifiedDate":"2012-09-18T17:16:41","indexId":"70039919","displayToPublicDate":"2012-09-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Resource and hazard implications of gas hydrates in the Northern Gulf of Mexico: Results of the 2009 Joint Industry Project Leg II Drilling Expedition","docAbstract":"In the 1970's, Russian scientists were the first to suggest that gas hydrates, a crystalline solid of water and natural gas, and a historical curiosity to physical chemists, should occur in abundance in the natural environment. Since this early start, the scientific foundation has been built for the realization that gas hydrates are a global phenomenon, occurring in permafrost regions of the arctic and in deep water portions of most continental margins worldwide. Recent field testing programs in the Arctic (Dallimore et al., 2008; Yamamoto and Dallimore, 2008) have indicated that natural gas can be produced from gas hydrate accumulations, particularly when housed in sand-rich sediments, with existing conventional oil and gas production technology (Collett et al., 2008) and preparations are now being made for the first marine field production tests (Masuda et al., 2009). Beyond a future energy resource, gas hydrates in some settings may represent a geohazard. Other studies also indicate that methane released to the atmosphere from destabilized gas hydrates may have contributed to global climate change in the past.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Petroleum Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.marpetgeo.2012.01.002","usgsCitation":"Collett, T.S., and Boswell, R., 2012, Resource and hazard implications of gas hydrates in the Northern Gulf of Mexico: Results of the 2009 Joint Industry Project Leg II Drilling Expedition: Marine and Petroleum Geology, v. 34, no. 1, p. 1-3, https://doi.org/10.1016/j.marpetgeo.2012.01.002.","productDescription":"3 p.","startPage":"1","endPage":"3","numberOfPages":"3","costCenters":[{"id":417,"text":"National Energy Technology Laboratory","active":false,"usgs":true}],"links":[{"id":261922,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261916,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2012.01.002","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Northern Gulf Of Mexico","volume":"34","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa9dfe4b0c8380cd8600d","contributors":{"authors":[{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":467195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boswell, Ray","contributorId":12307,"corporation":false,"usgs":true,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":467196,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039951,"text":"sir20125158 - 2012 - Microgravity methods for characterization of groundwater-storage changes and aquifer properties in the karstic Madison aquifer in the Black Hills of South Dakota, 2009-12","interactions":[],"lastModifiedDate":"2017-10-14T11:25:48","indexId":"sir20125158","displayToPublicDate":"2012-09-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5158","title":"Microgravity methods for characterization of groundwater-storage changes and aquifer properties in the karstic Madison aquifer in the Black Hills of South Dakota, 2009-12","docAbstract":"A study of groundwater storage in the karstic Madison aquifer in the Black Hills of South Dakota using microgravity methods was conducted by the U.S. Geological Survey in cooperation with West Dakota Water Development District, South Dakota Department of Environment and Natural Resources, and Lawrence County. Microgravity measurements from 2009 to 2012 were used to investigate groundwater-storage changes and effective porosity in unconfined areas of the Madison aquifer. Time-lapse microgravity surveys that use portable high-sensitivity absolute and relative gravimeters indicated temporal-gravity changes as a result of changing groundwater mass. These extremely precise measurements of gravity required characterization and removal of internal instrumental and external environmental effects on gravity from the raw data. The corrected data allowed groundwater-storage volume to be quantified with an accuracy of about plus or minus 0.5 foot of water per unit area of aquifer. Quantification of groundwater-storage change, coupled with water-level data from observation wells located near the focus areas, also was used to calculate the effective porosity at specific altitudes directly beneath gravity stations. Gravity stations were established on bedrock outcrops in three separate focus areas for this study. The first area, the Spring Canyon focus area, is located to the south of Rapid City with one gravity station on the rim of Spring Canyon near the area where Spring Creek sinks into the Madison aquifer. The second area, the Doty focus area, is located on outcrops of the Madison Limestone and Minnelusa Formation to the northwest of Rapid City, and consists of nine gravity stations. The third area, the Limestone Plateau focus area, consists of a single gravity station in the northwestern Black Hills located on an outcrop of the Madison Limestone. An absolute-gravity station, used to tie relative-gravity survey data together, was established on a relatively impermeable bedrock outcrop to minimize groundwater-storage change at the reference location. Data from the three focus areas allow for interpretation of groundwater-storage characteristics using microgravity measurements. Gravity measurements, together with water-level data from an observation well located 2 miles from the Spring Canyon focus area and measured streamflow in Spring Creek, provided evidence that rapid groundwater-storage change, responding to changes in sinking streamflow over the recharge area of the aquifer, occurred in the Madison aquifer directly beneath the gravity station at Spring Canyon. This phenomenon likely was a result of groundwater movement through caverns, conduits, and fractures, which are common in karst aquifers. Spatially and temporally separated microgravity data for the Doty focus area indicated horizontal and vertical heterogeneity of effective porosity for the Madison aquifer. One such example of this was indicated by water-level measurements at an observation well and gravity measurements at four gravity stations in the southeastern part of the Doty area, which were used to estimate effective porosity values ranging from greater than 0 to 0.18. A decrease in groundwater storage determined by microgravity measurements during the spring recharge period for five upgradient stations in the Doty focus area indicated the possibility of rapid release and downgradient cascading of perched groundwater. Evidence for similar phenomena was documented for Wind Cave and Brooks Cave in the Black Hills. Absolute-gravity measurements at the Limestone Plateau focus area confirmed the relation between water levels in an observation well and changes in groundwater storage. Comparison of these gravity measurements with water levels in a nearby observation well resulted in an effective porosity estimate of 0.02 for the Madison aquifer beneath the gravity station.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125158","collaboration":"Prepared in cooperation with the West Dakota Water Development District, South Dakota Department of Environment and Natural Resources, and Lawrence County","usgsCitation":"Koth, K.R., and Long, A.J., 2012, Microgravity methods for characterization of groundwater-storage changes and aquifer properties in the karstic Madison aquifer in the Black Hills of South Dakota, 2009-12: U.S. Geological Survey Scientific Investigations Report 2012-5158, vi, 22 p., https://doi.org/10.3133/sir20125158.","productDescription":"vi, 22 p.","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":261935,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5158.gif"},{"id":261930,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5158/sir2012-5158.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":261928,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5158/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator, Zone 13","country":"United States","state":"South Dakota","city":"Rapid City","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,43.75 ], [ -104,44.333333333333336 ], [ -103.08333333333333,44.333333333333336 ], [ -103.08333333333333,43.75 ], [ -104,43.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5680e4b0c8380cd6d62e","contributors":{"authors":[{"text":"Koth, Karl R. kkoth@usgs.gov","contributorId":4817,"corporation":false,"usgs":true,"family":"Koth","given":"Karl","email":"kkoth@usgs.gov","middleInitial":"R.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039945,"text":"70039945 - 2012 - Matrix population models from 20 studies of perennial plant populations","interactions":[],"lastModifiedDate":"2012-09-18T17:16:41","indexId":"70039945","displayToPublicDate":"2012-09-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Matrix population models from 20 studies of perennial plant populations","docAbstract":"Demographic transition matrices are one of the most commonly applied population models for both basic and applied ecological research. The relatively simple framework of these models and simple, easily interpretable summary statistics they produce have prompted the wide use of these models across an exceptionally broad range of taxa. Here, we provide annual transition matrices and observed stage structures/population sizes for 20 perennial plant species which have been the focal species for long-term demographic monitoring. These data were assembled as part of the \"Testing Matrix Models\" working group through the National Center for Ecological Analysis and Synthesis (NCEAS). In sum, these data represent 82 populations with >460 total population-years of data. It is our hope that making these data available will help promote and improve our ability to monitor and understand plant population dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","publisherLocation":"Ithaca, NY","doi":"10.1890/11-1052.1","usgsCitation":"Ellis, M.M., Williams, J.L., Lesica, P., Bell, T.J., Bierzychudek, P., Bowles, M., Crone, E.E., Doak, D.F., Ehrlen, J., Ellis-Adam, A., McEachern, K., Ganesan, R., Latham, P., Luijten, S., Kaye, T.N., Knight, T.M., Menges, E.S., Morris, W.F., den Nijs, H., Oostermeijer, G., Quintana-Ascencio, P.F., Shelly, J.S., Stanley, A., Thorpe, A., Tamara, T., Valverde, T., and Weekley, C.W., 2012, Matrix population models from 20 studies of perennial plant populations: Ecology, v. 93, no. 4, p. 951-951, https://doi.org/10.1890/11-1052.1.","productDescription":"1 p.","startPage":"951","endPage":"951","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474356,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/11-1052.1","text":"Publisher Index Page"},{"id":261934,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261926,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1052.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"93","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a528fe4b0c8380cd6c4e5","contributors":{"authors":[{"text":"Ellis, Martha M.","contributorId":55677,"corporation":false,"usgs":true,"family":"Ellis","given":"Martha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":467265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Jennifer L.","contributorId":55252,"corporation":false,"usgs":true,"family":"Williams","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":467264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lesica, Peter","contributorId":18612,"corporation":false,"usgs":true,"family":"Lesica","given":"Peter","email":"","affiliations":[],"preferred":false,"id":467258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bell, Timothy J.","contributorId":70885,"corporation":false,"usgs":true,"family":"Bell","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bierzychudek, Paulette","contributorId":65316,"corporation":false,"usgs":true,"family":"Bierzychudek","given":"Paulette","email":"","affiliations":[],"preferred":false,"id":467268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowles, Marlin","contributorId":30322,"corporation":false,"usgs":true,"family":"Bowles","given":"Marlin","affiliations":[],"preferred":false,"id":467259,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crone, Elizabeth E.","contributorId":98576,"corporation":false,"usgs":true,"family":"Crone","given":"Elizabeth","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467278,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Doak, Daniel F.","contributorId":46811,"corporation":false,"usgs":true,"family":"Doak","given":"Daniel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":467262,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ehrlen, Johan","contributorId":55678,"corporation":false,"usgs":true,"family":"Ehrlen","given":"Johan","email":"","affiliations":[],"preferred":false,"id":467266,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ellis-Adam, Albertine","contributorId":98159,"corporation":false,"usgs":true,"family":"Ellis-Adam","given":"Albertine","email":"","affiliations":[],"preferred":false,"id":467277,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McEachern, Kathryn kathryn_mceachern@usgs.gov","contributorId":2411,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":467254,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ganesan, Rengaian","contributorId":91346,"corporation":false,"usgs":true,"family":"Ganesan","given":"Rengaian","email":"","affiliations":[],"preferred":false,"id":467273,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Latham, Penelope","contributorId":99413,"corporation":false,"usgs":true,"family":"Latham","given":"Penelope","email":"","affiliations":[],"preferred":false,"id":467279,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Luijten, Sheila","contributorId":89761,"corporation":false,"usgs":true,"family":"Luijten","given":"Sheila","email":"","affiliations":[],"preferred":false,"id":467272,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kaye, Thomas N.","contributorId":97363,"corporation":false,"usgs":true,"family":"Kaye","given":"Thomas","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":467275,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Knight, Tiffany M.","contributorId":100671,"corporation":false,"usgs":true,"family":"Knight","given":"Tiffany","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":467280,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Menges, Eric S.","contributorId":94147,"corporation":false,"usgs":true,"family":"Menges","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":467274,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Morris, William F.","contributorId":97751,"corporation":false,"usgs":true,"family":"Morris","given":"William","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":467276,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"den Nijs, Hans","contributorId":10654,"corporation":false,"usgs":true,"family":"den Nijs","given":"Hans","email":"","affiliations":[],"preferred":false,"id":467255,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Oostermeijer, Gerard","contributorId":70230,"corporation":false,"usgs":true,"family":"Oostermeijer","given":"Gerard","email":"","affiliations":[],"preferred":false,"id":467270,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Quintana-Ascencio, Pedro F.","contributorId":34762,"corporation":false,"usgs":true,"family":"Quintana-Ascencio","given":"Pedro","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":467260,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Shelly, J. Stephen","contributorId":69830,"corporation":false,"usgs":true,"family":"Shelly","given":"J.","email":"","middleInitial":"Stephen","affiliations":[],"preferred":false,"id":467269,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Stanley, Amanda","contributorId":11045,"corporation":false,"usgs":true,"family":"Stanley","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":467256,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Thorpe, Andrea","contributorId":35576,"corporation":false,"usgs":true,"family":"Thorpe","given":"Andrea","affiliations":[],"preferred":false,"id":467261,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Tamara, Ticktin","contributorId":56083,"corporation":false,"usgs":true,"family":"Tamara","given":"Ticktin","affiliations":[],"preferred":false,"id":467267,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Valverde, Teresa","contributorId":54450,"corporation":false,"usgs":true,"family":"Valverde","given":"Teresa","email":"","affiliations":[],"preferred":false,"id":467263,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Weekley, Carl W.","contributorId":13477,"corporation":false,"usgs":true,"family":"Weekley","given":"Carl","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":467257,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}}
,{"id":70039953,"text":"sir20125048 - 2012 - Status of groundwater quality in the Coastal Los Angeles Basin, 2006-California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2012-09-19T17:16:46","indexId":"sir20125048","displayToPublicDate":"2012-09-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5048","title":"Status of groundwater quality in the Coastal Los Angeles Basin, 2006-California GAMA Priority Basin Project","docAbstract":"Groundwater quality in the approximately 860-square-mile (2,227-square-kilometer) Coastal Los Angeles Basin study unit (CLAB) was investigated as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study area is located in southern California in Los Angeles and Orange Counties. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey (USGS) and the Lawrence Livermore National Laboratory. The GAMA CLAB study was designed to provide a spatially unbiased assessment of the quality of untreated (raw) groundwater in the primary aquifer system. The assessment is based on water-quality and ancillary data collected in 2006 by the USGS from 69 wells and on water-quality data from the California Department of Public Health (CDPH) database. The primary aquifer system was defined by the depth interval of the wells listed in the CDPH database for the CLAB study unit. The quality of groundwater in the primary aquifer system may be different from that in the shallower or deeper water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination. This study assesses the status of the current quality of the groundwater resource by using data from samples analyzed for volatile organic compounds (VOCs), pesticides, and naturally occurring inorganic constituents, such as major ions and trace elements. This status assessment is intended to characterize the quality of groundwater resources in the primary aquifer system of the CLAB study unit, not the treated drinking water delivered to consumers by water purveyors. Relative-concentrations (sample concentration divided by the health- or aesthetic-based benchmark concentration) were used for evaluating groundwater quality for those constituents that have Federal and (or) California regulatory or non-regulatory benchmarks for drinking-water quality. A relative-concentration greater than (>) 1.0 indicates a concentration greater than a benchmark, and a relative-concentration less than or equal to (&le;) 1.0 indicates a concentration equal to or less than a benchmark. Relative-concentrations of organic and special-interest constituents [perchlorate, <i>N</i>-nitrosodimethylamine (NDMA), 1,2,3-trichloropropane (1,2,3-TCP), and 1,4-dioxane] were classified as \"high\" (relative-concentration>1.0), \"moderate\" (0.5<relative-concentration&le;1.0), or \"low\" (relative-concentration&le;0.5). Aquifer-scale proportion was used as the primary metric in the <i>status assessment</i> for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the percentage of the area of the primary aquifer system with a relative-concentration greater than 1.0 for a particular constituent or class of constituents; percentage is based on an areal rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentage of the primary aquifer system with moderate and low relative-concentrations, respectively. Two statistical approaches-grid-based and spatially weighted-were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. Grid-based and spatially weighted estimates were comparable in the CLAB study unit (within 90-percent confidence intervals). Inorganic constituents with human-health benchmarks were detected at high relative-concentrations in 5.6 percent of the primary aquifer system and moderate in 26 percent. High aquifer-scale proportion of inorganic constituents primarily reflected high aquifer-scale proportions of arsenic (1.9 percent), nitrate (1.9 percent), and uranium (1.2 percent). Inorganic constituents with secondary maximum contaminant levels (SMCL) were detected at high relative-concentrations in 18 percent of the primary aquifer system and moderate in 47 percent. The constituents present at high relative-concentrations included total dissolved solids (1.9 percent), manganese (15 percent), and iron (9.4 percent). Relative-concentrations of organic constituents (one or more) were high in 3.7 percent, and moderate in 13 percent, of the primary aquifer system. The high aquifer-scale proportion of organic constituents primarily reflected high aquifer-scale proportions of solvents, including trichloroethene (TCE; 1.7 percent), perchloroethene (PCE; 1.1 percent), and carbon tetrachloride (1.0 percent). Of the 204 organic constituents analyzed, 44 constituents were detected. Eleven organic constituents had detection frequencies of greater than 10 percent: the trihalomethanes chloroform and bromodichloromethane, the solvents TCE, PCE, <i>cis</i>-1,2-dichloroethene, and 1,1-dichloroethene, the herbicides atrazine, simazine, prometon, and tebuthiuron, and the gasoline additive methyl <i>tert</i>-butyl ether (MTBE). Most detections were at low relative-concentrations. The special-interest constituent perchlorate was detected at high relative-concentrations in 0.5 percent of the primary aquifer system, and at moderate relative-concentrations in 35 percent. The special-interest constituent 1,4-dioxane was detected at high relative-concentrations, but an insufficient number of samples was analyzed to provide a representative estimate of aquifer-scale proportion.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125048","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Goldrath, D.A., Fram, M.S., Land, M., and Belitz, K., 2012, Status of groundwater quality in the Coastal Los Angeles Basin, 2006-California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2012-5048, viii; 64 p., https://doi.org/10.3133/sir20125048.","productDescription":"viii; 64 p.","numberOfPages":"76","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":261951,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5048.jpg"},{"id":261941,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5048/","linkFileType":{"id":5,"text":"html"}},{"id":261942,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5048/pdf/sir20125048.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Albers Equal Area Conic Projection","datum":"National Elevation Dataset, 2006","country":"United States","state":"California","county":"Los Angeles;Orange","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.5,33.333333333333336 ], [ -118.5,34.333333333333336 ], [ -117.33333333333333,34.333333333333336 ], [ -117.33333333333333,33.333333333333336 ], [ -118.5,33.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b97cce4b08c986b31bc83","contributors":{"authors":[{"text":"Goldrath, Dara A. dgold@usgs.gov","contributorId":1687,"corporation":false,"usgs":true,"family":"Goldrath","given":"Dara","email":"dgold@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Land, Michael 0000-0001-5141-0307","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":56613,"corporation":false,"usgs":true,"family":"Land","given":"Michael","affiliations":[],"preferred":false,"id":467315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467312,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039942,"text":"70039942 - 2012 - Natural growth and diet of known-age pallid sturgeon (Scaphirhynchus albus) early life stages in the upper Missouri River basin, Montana and North Dakota","interactions":[],"lastModifiedDate":"2017-05-23T16:23:12","indexId":"70039942","displayToPublicDate":"2012-09-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Natural growth and diet of known-age pallid sturgeon (Scaphirhynchus albus) early life stages in the upper Missouri River basin, Montana and North Dakota","docAbstract":"<p><span>Prior to anthropogenic modifications, the historic Missouri River provided ecological conditions suitable for reproduction, growth, and survival of pallid sturgeon </span><i>Scaphirhynchus albus</i><span>. However, little information is available to discern whether altered conditions in the contemporary Missouri River are suitable for feeding, growth and survival of endangered pallid sturgeon during the early life stages. In 2004 and 2007, nearly 600&nbsp;000 pallid sturgeon free embryos and larvae were released in the upper Missouri River and survivors from these releases were collected during 2004–2010 to quantify natural growth rates and diet composition. Based on genetic analysis and known-age at release (1–17&nbsp;days post-hatch, dph), age at capture (dph, years) could be determined for each survivor. Totals of 23 and 28 survivors from the 2004 and 2007 releases, respectively, were sampled. Growth of pallid sturgeon was rapid (1.91&nbsp;mm&nbsp;day</span><sup>−1</sup><span>) during the initial 13–48&nbsp;dph, then slowed as fish approached maximum length (120–140&nbsp;mm) towards the end of the first growing season. The diet of young-of-year pallid sturgeon was comprised of Diptera larvae, Diptera pupae, and Ephemeroptera nymphs. Growth of pallid sturgeon from ages 1–6&nbsp;years was about 48.0&nbsp;mm&nbsp;year</span><sup>−1</sup><span>. This study provides the first assessment of natural growth and diet of young pallid sturgeon in the wild. Results depict pallid sturgeon growth trajectories that may be expected for naturally produced wild stocks under contemporary habitat conditions in the Missouri River and Yellowstone River.</span></p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1439-0426.2012.01964.x","usgsCitation":"Braaten, P., Fuller, D., Lott, R., Haddix, T., Holte, L., Wilson, R., Bartron, M., Kalie, J., DeHaan, P., Ardren, W., Holm, R., and Jaeger, M., 2012, Natural growth and diet of known-age pallid sturgeon (Scaphirhynchus albus) early life stages in the upper Missouri River basin, Montana and North Dakota: Journal of Applied Ichthyology, v. 28, no. 4, p. 496-504, https://doi.org/10.1111/j.1439-0426.2012.01964.x.","productDescription":"9 p.","startPage":"496","endPage":"504","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":474355,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2012.01964.x","text":"Publisher Index Page"},{"id":261937,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261929,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2012.01964.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana;North Dakota","otherGeospatial":"Missouri River Basin","volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-03-10","publicationStatus":"PW","scienceBaseUri":"505a630ce4b0c8380cd72284","contributors":{"authors":[{"text":"Braaten, P.J.","contributorId":98857,"corporation":false,"usgs":true,"family":"Braaten","given":"P.J.","affiliations":[],"preferred":false,"id":467249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, D.B.","contributorId":74116,"corporation":false,"usgs":false,"family":"Fuller","given":"D.B.","email":"","affiliations":[{"id":5099,"text":"Montana Department of Fish, Wildlife, and Parks","active":true,"usgs":false}],"preferred":false,"id":467246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lott, R.D.","contributorId":93172,"corporation":false,"usgs":true,"family":"Lott","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":467248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haddix, T.M.","contributorId":18640,"corporation":false,"usgs":true,"family":"Haddix","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":467241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holte, L.D.","contributorId":24073,"corporation":false,"usgs":true,"family":"Holte","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":467243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, R.H.","contributorId":107351,"corporation":false,"usgs":true,"family":"Wilson","given":"R.H.","email":"","affiliations":[],"preferred":false,"id":467252,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bartron, M.L.","contributorId":72224,"corporation":false,"usgs":true,"family":"Bartron","given":"M.L.","affiliations":[],"preferred":false,"id":467244,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kalie, J.A.","contributorId":76608,"corporation":false,"usgs":true,"family":"Kalie","given":"J.A.","affiliations":[],"preferred":false,"id":467247,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeHaan, P.W.","contributorId":105980,"corporation":false,"usgs":true,"family":"DeHaan","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":467251,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ardren, W.R.","contributorId":101159,"corporation":false,"usgs":true,"family":"Ardren","given":"W.R.","affiliations":[],"preferred":false,"id":467250,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Holm, R.J.","contributorId":73831,"corporation":false,"usgs":true,"family":"Holm","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":467245,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jaeger, M.E.","contributorId":23033,"corporation":false,"usgs":true,"family":"Jaeger","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":467242,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70039952,"text":"70039952 - 2012 - Groundwater quality in the Coastal Los Angeles Basin, California","interactions":[],"lastModifiedDate":"2012-09-19T17:16:46","indexId":"70039952","displayToPublicDate":"2012-09-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3096","title":"Groundwater quality in the Coastal Los Angeles Basin, California","docAbstract":"The Coastal Los Angeles Basin study unit is approximately 860 square miles and consists of the Santa Monica, Hollywood, West Coast, Central, and Orange County Coastal Plain groundwater basins (California Department of Water Resources, 2003). The basins are bounded in part by faults, including the Newport-Inglewood fault zone, and are filled with Holocene-, Pleistocene-, and Pliocene-age marine and alluvial sediments. The Central Basin and Orange County Coastal Plain are divided into a forebay zone on the northeast and a pressure zone in the center and southwest. The forebays consist of unconsolidated coarser sediment, and the pressure zones are characterized by lenses of coarser sediment divided into confined to semi-confined aquifers by lenses of finer sediments. The primary aquifer system in the study unit is defined as those parts of the aquifer system corresponding to the perforated intervals of wells listed in the California Department of Public Health (CDPH) database of public-supply wells. The majority of public-supply wells are drilled to depths of 510 to 1,145 feet, consist of solid casing from the land surface to a depth of about 300 to 510 feet, and are perforated below the solid casing. Water quality in the primary aquifer system may differ from that in the shallower and deeper parts of the aquifer systems.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70039952","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Fram, M.S., and Belitz, K., 2012, Groundwater quality in the Coastal Los Angeles Basin, California: U.S. Geological Survey Fact Sheet 2012-3096, 4 p., https://doi.org/10.3133/70039952.","productDescription":"4 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":261939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3096.jpg"},{"id":261932,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3096/","linkFileType":{"id":5,"text":"html"}},{"id":261933,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3096/pdf/fs20123096.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.66666666666667,33.666666666666664 ], [ -118.66666666666667,34.25 ], [ -117.66666666666667,34.25 ], [ -117.66666666666667,33.666666666666664 ], [ -118.66666666666667,33.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2db0e4b0c8380cd5bfb3","contributors":{"authors":[{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467310,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70125674,"text":"70125674 - 2012 - More than a meal: integrating non-feeding interactions into food webs","interactions":[],"lastModifiedDate":"2014-09-17T14:06:12","indexId":"70125674","displayToPublicDate":"2012-09-17T14:04:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"More than a meal: integrating non-feeding interactions into food webs","docAbstract":"Organisms eating each other are only one of many types of well documented and important interactions among species. Other such types include habitat modification, predator interference and facilitation. However, ecological network research has been typically limited to either pure food webs or to networks of only a few (<3) interaction types. The great diversity of non-trophic interactions observed in nature has been poorly addressed by ecologists and largely excluded from network theory. Herein, we propose a conceptual framework that organises this diversity into three main functional classes defined by how they modify specific parameters in a dynamic food web model. This approach provides a path forward for incorporating non-trophic interactions in traditional food web models and offers a new perspective on tackling ecological complexity that should stimulate both theoretical and empirical approaches to understanding the patterns and dynamics of diverse species interactions in nature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Publishing","doi":"10.1111/j.1461-0248.2011.01732.x","usgsCitation":"Kéfi, S., Berlow, E.L., Wieters, E.A., Navarrete, S.A., Petchey, O.L., Wood, S.A., Boit, A., Joppa, L.N., Lafferty, K.D., Williams, R.J., Martinez, N.D., Menge, B.A., Blanchette, C.A., Iles, A.C., and Brose, U., 2012, More than a meal: integrating non-feeding interactions into food webs: Ecology Letters, v. 15, no. 4, p. 291-300, https://doi.org/10.1111/j.1461-0248.2011.01732.x.","productDescription":"10 p.","startPage":"291","endPage":"300","ipdsId":"IP-025821","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488329,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3304248","text":"External Repository"},{"id":294063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294057,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1461-0248.2011.01732.x"}],"volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-02-08","publicationStatus":"PW","scienceBaseUri":"541aa29ee4b01571b3d51cc8","contributors":{"authors":[{"text":"Kéfi, Sonia","contributorId":73124,"corporation":false,"usgs":true,"family":"Kéfi","given":"Sonia","affiliations":[],"preferred":false,"id":501608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlow, Eric L.","contributorId":91416,"corporation":false,"usgs":false,"family":"Berlow","given":"Eric","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":501610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wieters, Evie A.","contributorId":29749,"corporation":false,"usgs":true,"family":"Wieters","given":"Evie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":501603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Navarrete, Sergio A.","contributorId":54126,"corporation":false,"usgs":true,"family":"Navarrete","given":"Sergio","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":501606,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petchey, Owen L.","contributorId":8773,"corporation":false,"usgs":true,"family":"Petchey","given":"Owen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":501602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Spencer A.","contributorId":101575,"corporation":false,"usgs":true,"family":"Wood","given":"Spencer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":501612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boit, Alice","contributorId":34446,"corporation":false,"usgs":true,"family":"Boit","given":"Alice","email":"","affiliations":[],"preferred":false,"id":501605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Joppa, Lucas N.","contributorId":99905,"corporation":false,"usgs":false,"family":"Joppa","given":"Lucas","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":501611,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501600,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Williams, Richard J.","contributorId":34443,"corporation":false,"usgs":true,"family":"Williams","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":501604,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Martinez, Neo D.","contributorId":86270,"corporation":false,"usgs":true,"family":"Martinez","given":"Neo","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":501609,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Menge, Bruce A.","contributorId":106027,"corporation":false,"usgs":true,"family":"Menge","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":501614,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Blanchette, Carol A.","contributorId":56571,"corporation":false,"usgs":true,"family":"Blanchette","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":501607,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Iles, Alison C.","contributorId":7546,"corporation":false,"usgs":true,"family":"Iles","given":"Alison","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":501601,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Brose, Ulrich","contributorId":103197,"corporation":false,"usgs":true,"family":"Brose","given":"Ulrich","email":"","affiliations":[],"preferred":false,"id":501613,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70125676,"text":"70125676 - 2012 - New parasites and predators follow the introduction of two fish species to a subarctic lake: implications for food-web structure and functioning","interactions":[],"lastModifiedDate":"2014-09-17T14:00:25","indexId":"70125676","displayToPublicDate":"2012-09-17T13:53:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"New parasites and predators follow the introduction of two fish species to a subarctic lake: implications for food-web structure and functioning","docAbstract":"Introduced species can alter the topology of food webs. For instance, an introduction can aid the arrival of free-living consumers using the new species as a resource, while new parasites may also arrive with the introduced species. Food-web responses to species additions can thus be far more complex than anticipated. In a subarctic pelagic food web with free-living and parasitic species, two fish species (arctic charr <i>Salvelinus alpinus</i> and three-spined stickleback <i>Gasterosteus aculeatus</i>) have known histories as deliberate introductions. The effects of these introductions on the food web were explored by comparing the current pelagic web with a heuristic reconstruction of the pre-introduction web. Extinctions caused by these introductions could not be evaluated by this approach. The introduced fish species have become important hubs in the trophic network, interacting with numerous parasites, predators and prey. In particular, five parasite species and four predatory bird species depend on the two introduced species as obligate trophic resources in the pelagic web and could therefore not have been present in the pre-introduction network. The presence of the two introduced fish species and the arrival of their associated parasites and predators increased biodiversity, mean trophic level, linkage density, and nestedness; altering both the network structure and functioning of the pelagic web. Parasites, in particular trophically transmitted species, had a prominent role in the network alterations that followed the introductions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oecologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00442-012-2461-2","usgsCitation":"Amundsen, P., Lafferty, K.D., Knudsen, R., Primicerio, R., Kristoffersen, R., Klemetsen, A., and Kuris, A.M., 2012, New parasites and predators follow the introduction of two fish species to a subarctic lake: implications for food-web structure and functioning: Oecologia, v. 171, no. 4, p. 993-1002, https://doi.org/10.1007/s00442-012-2461-2.","productDescription":"10 p.","startPage":"993","endPage":"1002","ipdsId":"IP-019704","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00442-012-2461-2","text":"Publisher Index Page"},{"id":294062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294058,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00442-012-2461-2"}],"country":"Norway","otherGeospatial":"Takvatn Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 18.995743,69.086326 ], [ 18.995743,69.137674 ], [ 19.166071,69.137674 ], [ 19.166071,69.086326 ], [ 18.995743,69.086326 ] ] ] } } ] }","volume":"171","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-09-28","publicationStatus":"PW","scienceBaseUri":"541aa2a0e4b01571b3d51cda","contributors":{"authors":[{"text":"Amundsen, Per-Arne","contributorId":83448,"corporation":false,"usgs":true,"family":"Amundsen","given":"Per-Arne","affiliations":[],"preferred":false,"id":501620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knudsen, Rune","contributorId":18686,"corporation":false,"usgs":true,"family":"Knudsen","given":"Rune","affiliations":[],"preferred":false,"id":501617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Primicerio, Raul","contributorId":50449,"corporation":false,"usgs":true,"family":"Primicerio","given":"Raul","email":"","affiliations":[],"preferred":false,"id":501618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kristoffersen, Roar","contributorId":11519,"corporation":false,"usgs":true,"family":"Kristoffersen","given":"Roar","affiliations":[],"preferred":false,"id":501616,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klemetsen, Anders","contributorId":94605,"corporation":false,"usgs":true,"family":"Klemetsen","given":"Anders","affiliations":[],"preferred":false,"id":501621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuris, Armand M.","contributorId":54332,"corporation":false,"usgs":true,"family":"Kuris","given":"Armand","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":501619,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70125647,"text":"70125647 - 2012 - Shading decreases the abundance of the herbivorous California horn snail, <i>Cerithidea californica</i>","interactions":[],"lastModifiedDate":"2017-06-30T15:18:23","indexId":"70125647","displayToPublicDate":"2012-09-17T11:16:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Shading decreases the abundance of the herbivorous California horn snail, <i>Cerithidea californica</i>","docAbstract":"Most of the intertidal zone in estuaries of California, USA and Baja California, Mexico is covered with vascular vegetation. Shading by these vascular plants influences abiotic and biotic processes that shape benthic community assemblages. We present data on the effects of shading on the California horn snail, <i>Cerithidea californica</i>. This species is important because it is the most common benthic macrofaunal species in these systems and acts as an obligate intermediate host of several species of rematode parasites that infect several other species. Using observational and experimental studies, we found a negative effect of shade on the distribution and abundance of the California horn snail. We hypothesized that shading reduces the abundance of the epipelic diatoms that the snails feeds on, causing snails to leave haded areas. We observed a negative relationship between vascular plant cover, sub-canopy light levels, and snail density in Mugu Lagoon. Then we experimentally manipulated light regimes, by clipping vegetation and adding shade structures, and found higher snail densities at higher light levels. In Goleta Slough, we isolated the effect of shade from vegetation by documenting a negative relationship between the shade created by two bridges and diatom and snail densities. We also found that snails moved the greatest distances over shaded channel banks compared to unshaded channel banks. Further, we documented the effect of water depth and channel bank orientation on shading in this system. An additional effect of shading is the reduction of temperature, providing an alternative explanation for some of our results. These results broaden our knowledge of how variation in the light environment influences the ecology of estuarine ecosystems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2012.07.009","usgsCitation":"Lorda, J., and Lafferty, K.D., 2012, Shading decreases the abundance of the herbivorous California horn snail, <i>Cerithidea californica</i>: Journal of Experimental Marine Biology and Ecology, v. 432-433, p. 148-155, https://doi.org/10.1016/j.jembe.2012.07.009.","productDescription":"8 p.","startPage":"148","endPage":"155","ipdsId":"IP-038694","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jembe.2012.07.009"}],"country":"United States","state":"California","county":"Santa Barbara County;Ventura County","otherGeospatial":"Goleta Slough;Mugu Lagoon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.9219,34.0929 ], [ -119.9219,34.4584 ], [ -119.0713,34.4584 ], [ -119.0713,34.0929 ], [ -119.9219,34.0929 ] ] ] } } ] }","volume":"432-433","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541aa2a8e4b01571b3d51d24","contributors":{"authors":[{"text":"Lorda, Julio","contributorId":94988,"corporation":false,"usgs":true,"family":"Lorda","given":"Julio","email":"","affiliations":[],"preferred":false,"id":501534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501533,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70125390,"text":"70125390 - 2012 - Effects of spatial subsidies and habitat structure on the foraging ecology and size of geckos","interactions":[],"lastModifiedDate":"2014-09-17T10:06:11","indexId":"70125390","displayToPublicDate":"2012-09-17T10:01:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Effects of spatial subsidies and habitat structure on the foraging ecology and size of geckos","docAbstract":"While it is well established that ecosystem subsidies—the addition of energy, nutrients, or materials across ecosystem boundaries—can affect consumer abundance, there is less information available on how subsidy levels may affect consumer diet, body condition, trophic position, and resource partitioning among consumer species. There is also little information on whether changes in vegetation structure commonly associated with spatial variation in subsidies may play an important role in driving consumer responses to subsidies. To address these knowledge gaps, we studied changes in abundance, diet, trophic position, size, and body condition of two congeneric gecko species (<i>Lepidodactylus</i> spp.) that coexist in palm dominated and native (hereafter dicot dominated) forests across the Central Pacific. These forests differ trongly both in the amount of marine subsidies that they receive from seabird guano and carcasses, and in the physical structure of the habitat. Contrary to other studies, we found that subsidy level had no impact on the abundance of either gecko species; it also did not have any apparent effects on resource partitioning between species. However, it did affect body size, dietary composition, and trophic position of both species. Geckos in subsidized, dicot forests were larger, had higher body condition and more diverse diets, and occupied a much higher trophic position than geckos found in palm dominated, low subsidy level forests. Both direct variation in subsidy levels and associated changes in habitat structure appear to play a role in driving these responses. These results suggest that variation in subsidy levels may drive important behavioral responses in predators, even when their numerical response is limited. Strong changes in trophic position of consumers also suggest that subsidies may drive increasingly complex food webs, with longer overall food chain length.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0041364","usgsCitation":"Briggs, A.A., Young, H.S., McCauley, D.J., Hathaway, S.A., Dirzo, R., and Fisher, R.N., 2012, Effects of spatial subsidies and habitat structure on the foraging ecology and size of geckos: PLoS ONE, v. 7, no. 8, e41364; 10 p., https://doi.org/10.1371/journal.pone.0041364.","productDescription":"e41364; 10 p.","ipdsId":"IP-029853","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0041364","text":"Publisher Index Page"},{"id":294023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293975,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0041364"}],"country":"United States","otherGeospatial":"Palmyra Atoll","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -162.108546,5.865629 ], [ -162.108546,5.895611 ], [ -162.042744,5.895611 ], [ -162.042744,5.865629 ], [ -162.108546,5.865629 ] ] ] } } ] }","volume":"7","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-10","publicationStatus":"PW","scienceBaseUri":"541aa29be4b01571b3d51ca7","contributors":{"authors":[{"text":"Briggs, Amy A.","contributorId":33238,"corporation":false,"usgs":true,"family":"Briggs","given":"Amy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":501368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Hillary S.","contributorId":53711,"corporation":false,"usgs":false,"family":"Young","given":"Hillary","email":"","middleInitial":"S.","affiliations":[{"id":13007,"text":"Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":501369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCauley, Douglas J.","contributorId":21081,"corporation":false,"usgs":true,"family":"McCauley","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":501367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hathaway, Stacie A. 0000-0002-4167-8059 sahathaway@usgs.gov","orcid":"https://orcid.org/0000-0002-4167-8059","contributorId":3420,"corporation":false,"usgs":true,"family":"Hathaway","given":"Stacie","email":"sahathaway@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dirzo, Rodolfo","contributorId":62153,"corporation":false,"usgs":true,"family":"Dirzo","given":"Rodolfo","email":"","affiliations":[],"preferred":false,"id":501370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501365,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70125391,"text":"70125391 - 2012 - Cryptic extinction of a common Pacific lizard <i>Emoia impar</i> (Squamata, Scincidae) from the Hawaiian Islands.","interactions":[],"lastModifiedDate":"2014-09-17T09:37:19","indexId":"70125391","displayToPublicDate":"2012-09-17T09:35:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2968,"text":"Oryx","active":true,"publicationSubtype":{"id":10}},"title":"Cryptic extinction of a common Pacific lizard <i>Emoia impar</i> (Squamata, Scincidae) from the Hawaiian Islands.","docAbstract":"Most documented declines of tropical reptiles are of dramatic or enigmatic species. Declines of widespread species tend to be cryptic. The early (1900s) decline and extinction of the common Pacific skink <i>Emoia impar</i> from the Hawaiian Islands is documented here through an assessment of literature, museum vouchers and recent fieldwork. This decline appears contemporaneous with the documented declines of invertebrates and birds across the Hawaiian Islands. A review of the plausible causal factors indicates that the spread of the introduced big-headed ant <i>Pheidole megacephala</i> is the most likely factor in this lizard decline. The introduction and spread of a similar skink <i>Lampropholis delicata</i> across the islands appears to temporally follow the decline of <i>E. impar</i>, although there is no evidence of competition between these species. It appears that <i>L. delicata</i> is spreading to occupy the niche vacated by the extirpated <i>E. impar</i>. Further confusion exists because the skink <i>E. cyanura</i>, which is very similar in appearance to <i>E. impar</i>, appears to have been introduced to one site within a hotel on Kaua'i and persisted as a population at that site for approximately 2 decades (1970s–1990s) but is now also extirpated. This study highlights the cryptic nature of this early species extinction as evidence that current biogeographical patterns of non-charismatic or enigmatic reptiles across the Pacific may be the historical result of early widespread invasion by ants. Conservation and restoration activities for reptiles in the tropical Pacific should consider this possibility and evaluate all evidence prior to any implementation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oryx","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Columbia University Press","doi":"10.1017/S0030605310001778","usgsCitation":"Fisher, R., and Ineich, I., 2012, Cryptic extinction of a common Pacific lizard <i>Emoia impar</i> (Squamata, Scincidae) from the Hawaiian Islands.: Oryx, v. 46, no. 2, p. 187-195, https://doi.org/10.1017/S0030605310001778.","productDescription":"9 p.","startPage":"187","endPage":"195","ipdsId":"IP-024611","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0030605310001778","text":"Publisher Index Page"},{"id":294020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293976,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1017/S0030605310001778"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -160.3079,18.8282 ], [ -160.3079,22.3144 ], [ -154.6938,22.3144 ], [ -154.6938,18.8282 ], [ -160.3079,18.8282 ] ] ] } } ] }","volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-03-12","publicationStatus":"PW","scienceBaseUri":"541aa29be4b01571b3d51ca3","contributors":{"authors":[{"text":"Fisher, Robert","contributorId":87239,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","affiliations":[],"preferred":false,"id":501371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ineich, Ivan","contributorId":100760,"corporation":false,"usgs":true,"family":"Ineich","given":"Ivan","email":"","affiliations":[],"preferred":false,"id":501372,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039912,"text":"sir20125181 - 2012 - Streamflow gain and loss and water quality in the upper Nueces River Basin, south-central Texas, 2008-10","interactions":[],"lastModifiedDate":"2016-08-08T08:37:28","indexId":"sir20125181","displayToPublicDate":"2012-09-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5181","title":"Streamflow gain and loss and water quality in the upper Nueces River Basin, south-central Texas, 2008-10","docAbstract":"<p>The U.S. Geological Survey-in cooperation with the U.S. Army Corps of Engineers, The Nature Conservancy, the Real Edwards Conservation and Reclamation District, and the Texas Parks and Wildlife Department-investigated streamflow gain and loss and water quality in the upper Nueces River Basin, south-central Texas, specifically in the watersheds of the West Nueces, Nueces, Dry Frio, Frio, and Sabinal Rivers upstream from the Edwards aquifer outcrop. Streamflow in these rivers is sustained by groundwater contributions (for example, from springs) and storm runoff from rainfall events. To date (2012), there are few data available that describe streamflow and water-quality conditions of the rivers within the upper Nueces River Basin. This report describes streamflow gain-loss characteristics from three reconnaissance-level synoptic measurement surveys (hereinafter referred to as \"surveys\") during 2008-10 in the upper Nueces River Basin. To help characterize the hydrology, groundwater-level measurements were made, and water-quality samples were collected from both surface-water and groundwater sites in the study area from two surveys during 2009-10. The hydrologic (streamflow, springflow, and groundwater) measurements were made during three reconnaissance-level synoptic measurement surveys occurring in July 21-23, 2008; August 8-18, 2009; and March 22-24, 2010. These survey periods were selected to represent different hydrologic conditions. Streamflow gains and losses were based on streamflow and springflow measurements made at 74 sites in the study area, although not all sites were measured during each survey. Possible water chemistry relations among sample types (streamflow, springflow, or groundwater), between surveys, and among watersheds were examined using water-quality samples collected from as many as 20 sites in the study area.</p>\n<p>During the three surveys, reaches of gaining, losing, or no verifiable change in streamflow were observed in the watersheds in the study area. Reaches of generally consistent gaining or losing streamflow were identified in the Nueces, Frio, and Sabinal River watersheds. The water-quality data indicate that the streamflow, springflow, and groundwater have similar major ion chemical characteristics and generally can be categorized as a calcium-carbonate water type. Those data also indicate that the major ion chemistry was similar during the 2009 and 2010 surveys. Graphical comparisons among ratios of major ions, trace elements, and isotopes (for example, magnesium/calcium ratios to strontium isotopic ratios) indicate that samples collected from each watershed generally clustered together. Determining the source areas and other possible contributors on the basis of these data is not possible because of the small sample size of the water-quality dataset (both in number of samples and spatial distribution of samples). The different relations among the water-quality data indicate that the surface water in the different watersheds is likely influenced by differences in source areas, geochemical evolution, groundwater flow paths and residence time, local stratigraphy, or some combination thereof.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125181","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, The Nature Conservancy, the Real Edwards Conservation and Reclamation District, and theTexas Parks and Wildlife Department","usgsCitation":"Banta, J., Lambert, R.B., Slattery, R.N., and Ockerman, D.J., 2012, Streamflow gain and loss and water quality in the upper Nueces River Basin, south-central Texas, 2008-10: U.S. Geological Survey Scientific Investigations Report 2012-5181, vi, 40 p., https://doi.org/10.3133/sir20125181.","productDescription":"vi, 40 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":261884,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5181.gif"},{"id":261881,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5181/","linkFileType":{"id":5,"text":"html"}},{"id":261882,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5181/pdf/sir2012-5181_gjs-9-10.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator Projection, Zone 14","datum":"North American Datum 1983","country":"United States","state":"Texas","county":"Bandera County, Edwards County, Kerr County, Kinney County, Real County, Uvalde County","otherGeospatial":"Upper Nueces River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.66666666666667,29.333333333333332 ], [ -100.66666666666667,33.166666666666664 ], [ -99.41666666666667,33.166666666666664 ], [ -99.41666666666667,29.333333333333332 ], [ -100.66666666666667,29.333333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9aefe4b08c986b31cbbe","contributors":{"authors":[{"text":"Banta, J. Ryan 0000-0002-2226-7270","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":78863,"corporation":false,"usgs":true,"family":"Banta","given":"J. Ryan","affiliations":[],"preferred":false,"id":467186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, Rebecca B. 0000-0002-0611-1591 blambert@usgs.gov","orcid":"https://orcid.org/0000-0002-0611-1591","contributorId":1135,"corporation":false,"usgs":true,"family":"Lambert","given":"Rebecca","email":"blambert@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467184,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039982,"text":"70039982 - 2012 - Characterization of West Nile viruses isolated form captive American flamingoes (<i>Phoenicopterus ruber</i>) in Medellin, Colombia.","interactions":[],"lastModifiedDate":"2015-06-17T16:24:36","indexId":"70039982","displayToPublicDate":"2012-09-13T11:13:44","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":733,"text":"American Journal of Tropical Medicine and Hygiene","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of West Nile viruses isolated form captive American flamingoes (<i>Phoenicopterus ruber</i>) in Medellin, Colombia.","docAbstract":"<p>Serum samples from a total of 71 healthy captive birds belonging to 18 species were collected in July of 2008 in Medellin (Colombia) and tested for flaviviruses. Eighteen of 29 samples from American Flamingoes (Phoenicopterus ruber) were positive for West Nile virus (WNV) by reverse transcription-polymerase chain reaction. Selected positive samples were serially passaged and WNV was confirmed by immunofluorescence. Two isolates (524/08, 9835/08) were characterized in vitro and in vivo. Sequence analysis revealed WNV with 16 nucleotide substitutions resulting in six amino acid changes when compared with the NY99 strain. Colombian (COL) viruses were more closely related to Louisiana isolates from 2001. When compared with attenuated strains isolated from Texas, COL isolates differed in their plaque size and temperature sensitivity phenotype. The COL viruses were pathogenic in embryonated chicken eggs and Balb/c mice.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Journal of Tropical Medicine and Hygiene","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Tropical Medicine and Hygiene","publisherLocation":"Deerfield, IL","doi":"10.4269/ajtmh.2012.11-0655","usgsCitation":"Osorio, J., Ciuoderis, K.A., Lopera, J.G., Piedrahita, L.D., Murphy, D., LeVasseur, J., Carrillo, L., Ocampo, M.C., and Hofmeister, E., 2012, Characterization of West Nile viruses isolated form captive American flamingoes (<i>Phoenicopterus ruber</i>) in Medellin, Colombia.: American Journal of Tropical Medicine and Hygiene, v. 87, no. 3, p. 565-572, https://doi.org/10.4269/ajtmh.2012.11-0655.","productDescription":"8 p.","startPage":"565","endPage":"572","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health 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James","contributorId":44428,"corporation":false,"usgs":true,"family":"LeVasseur","given":"James","email":"","affiliations":[],"preferred":false,"id":467376,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carrillo, Lina","contributorId":51609,"corporation":false,"usgs":true,"family":"Carrillo","given":"Lina","email":"","affiliations":[],"preferred":false,"id":467378,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ocampo, Martha C.","contributorId":72669,"corporation":false,"usgs":true,"family":"Ocampo","given":"Martha","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":467380,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hofmeister, Erik","contributorId":30319,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","affiliations":[],"preferred":false,"id":467375,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70039884,"text":"70039884 - 2012 - Dissolved organic carbon and chromophoric dissolved organic matter properties of rivers in the USA","interactions":[],"lastModifiedDate":"2013-02-23T22:35:03","indexId":"70039884","displayToPublicDate":"2012-09-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic carbon and chromophoric dissolved organic matter properties of rivers in the USA","docAbstract":"Dissolved organic carbon (DOC) concentration and chromophoric dissolved organic matter (CDOM) parameters were measured over a range of discharge in 30 U.S. rivers, covering a diverse assortment of fluvial ecosystems in terms of watershed size and landscape drained. Relationships between CDOM absorption at a range of wavelengths (a<sub>254</sub>, a<sub>350</sub>, a<sub>440</sub>) and DOC in the 30 watersheds were found to correlate strongly and positively for the majority of U.S. rivers. However, four rivers (Colorado, Colombia, Rio Grande and St. Lawrence) exhibited statistically weak relationships between CDOM absorption and DOC. These four rivers are atypical, as they either drain from the Great Lakes or experience significant impoundment of water within their watersheds, and they exhibited values for dissolved organic matter (DOM) parameters indicative of autochthonous or anthropogenic sources or photochemically degraded allochthonous DOM and thus a decoupling between CDOM and DOC. CDOM quality parameters in the 30 rivers were found to be strongly correlated to DOM compositional metrics derived via XAD fractionation, highlighting the potential for examining DOM biochemical quality from CDOM measurements. This study establishes the ability to derive DOC concentration from CDOM absorption for the majority of U.S. rivers, describes characteristics of riverine systems where such an approach is not valid, and emphasizes the possibility of examining DOM composition and thus biogeochemical function via CDOM parameters. Therefore, the usefulness of CDOM measurements, both laboratory-based analyses and in situ instrumentation, for improving spatial and temporal resolution of DOC fluxes and DOM dynamics in future studies is considerable in a range of biogeochemical studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research G: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union (AGU)","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JG001928","usgsCitation":"Spencer, R., Butler, K., and Aiken, G.R., 2012, Dissolved organic carbon and chromophoric dissolved organic matter properties of rivers in the USA: Journal of Geophysical Research G: Biogeosciences, v. 117, no. G3, 14 p., https://doi.org/10.1029/2011JG001928.","productDescription":"14 p.","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":261865,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261861,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JG001928","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"117","issue":"G3","noUsgsAuthors":false,"publicationDate":"2012-07-03","publicationStatus":"PW","scienceBaseUri":"505a0238e4b0c8380cd4ff56","chorus":{"doi":"10.1029/2011jg001928","url":"http://dx.doi.org/10.1029/2011jg001928","publisher":"Wiley-Blackwell","authors":"Spencer Robert G. M., Butler Kenna D., Aiken George R.","journalName":"Journal of Geophysical Research: Biogeosciences","publicationDate":"7/3/2012"},"contributors":{"authors":[{"text":"Spencer, Robert G.M.","contributorId":76061,"corporation":false,"usgs":true,"family":"Spencer","given":"Robert G.M.","affiliations":[],"preferred":false,"id":467146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butler, Kenna D.","contributorId":101503,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna D.","affiliations":[],"preferred":false,"id":467147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467145,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039895,"text":"ofr20121174 - 2012 - Specific conductance measurements in central and western New York streams - A retrospective characterization","interactions":[],"lastModifiedDate":"2012-09-14T17:17:15","indexId":"ofr20121174","displayToPublicDate":"2012-09-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1174","title":"Specific conductance measurements in central and western New York streams - A retrospective characterization","docAbstract":"U.S. Geological Survey (USGS) Data Rescue Program funds were used to recover data from paper records for 139 streamgages across central and western New York State; 6,133 different streamflow measurement forms, collected between 1970-80, contained field water-quality measurements. The water-quality data were entered, reviewed, and uploaded into the USGS National Water Information System. In total, 4,285 unique site visits were added to the database. The new values represent baseline water quality from which to measure change and will lead to a comparison of water-quality change over the last 40 years and into the future. Specific conductance was one of the measured properties and represents a simple way to determine if ambient inorganic water quality has been altered by anthropogenic (road salt runoff, wastewater discharges, or natural gas development) or natural sources. The objective of this report is to describe ambient specific conductance characteristics of surface water across the central and western part of New York. This report presents median specific conductance of stream discharge for the period 1970-80 and a description of the relation between specific conductance and concentrations of total dissolved solids (TDS) retrieved from the USGS National Water Information System (NWIS) database from 1955 to present. The data descriptions provide a baseline of surface-water specific conductance data that can used for comparison to current and future measurements in New York streams.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121174","usgsCitation":"Kappel, W.M., Sinclair, G.J., Reddy, J.E., Eckhardt, D.A., deVries, M.P., and Phillips, M.E., 2012, Specific conductance measurements in central and western New York streams - A retrospective characterization: U.S. Geological Survey Open-File Report 2012-1174, 6 p., https://doi.org/10.3133/ofr20121174.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":261876,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1174.gif"},{"id":261874,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1174/","linkFileType":{"id":5,"text":"html"}},{"id":261873,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1174/pdf/ofr2012-1174_kappel_508.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 18","datum":"North American Datum 83","country":"United States","state":"New York;Pennsylvania","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80,41 ], [ -80,44 ], [ -74,44 ], [ -74,41 ], [ -80,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b951be4b08c986b31ad3d","contributors":{"authors":[{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinclair, Gaylen J.","contributorId":23801,"corporation":false,"usgs":true,"family":"Sinclair","given":"Gaylen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reddy, James E. 0000-0002-6998-7267 jreddy@usgs.gov","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":1080,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"jreddy@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eckhardt, David A. daeckhar@usgs.gov","contributorId":1079,"corporation":false,"usgs":true,"family":"Eckhardt","given":"David","email":"daeckhar@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":467162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"deVries, M. Peter pdevries@usgs.gov","contributorId":1555,"corporation":false,"usgs":true,"family":"deVries","given":"M.","email":"pdevries@usgs.gov","middleInitial":"Peter","affiliations":[],"preferred":true,"id":467164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, Margaret E.","contributorId":60483,"corporation":false,"usgs":true,"family":"Phillips","given":"Margaret","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467166,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039900,"text":"70039900 - 2012 - Temporal changes in aquatic-invertebrate and fish assemblages in streams of the north-central and northeastern U.S.","interactions":[],"lastModifiedDate":"2016-08-24T11:27:42","indexId":"70039900","displayToPublicDate":"2012-09-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Temporal changes in aquatic-invertebrate and fish assemblages in streams of the north-central and northeastern U.S.","docAbstract":"<p>Many management agencies seek to evaluate temporal changes in aquatic assemblages at monitoring sites, but few have sites with ecological time series that are long enough for this purpose. Trends in aquatic-invertebrate and fish assemblage composition were assessed at 27 long-term monitoring sites in the north-central and northeastern United States. Temporal changes were identified using serial trend analysis. Sites with significant serial trends were further evaluated by relating explanatory environmental variables (e.g., streamflow, habitat, and water chemistry) to changes in assemblage composition. Significant trends were found at 19 of 27 study sites; however, differences in the sensitivity of the aquatic fauna to environmental stressors were identified. For example, significant trends in fish assemblages were found at more sites (15 of 27) than for aquatic-invertebrate assemblages (10 of 27 sites). In addition, trends in the invertebrate assemblage were most often explained by changes in streamflow processes (e.g., duration and magnitude of low- and high-flows, streamflow variability, and annual rates of change), whereas trends in the fish assemblage were more related to changes in water chemistry. Results illustrate the value of long-term monitoring for the purpose of assessing temporal trends in aquatic assemblages. The ability to detect trends in assemblage composition and to attribute these changes to environmental factors is necessary to understand mechanistic pathways and to further our understanding of how incremental anthropogenic alterations modify aquatic assemblages over time. Finally, this study's approach to trends analysis can be used to better inform the design of monitoring programs as well as support the ongoing management needs of stakeholders, water-resource agencies, and policy makers.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecolind.2011.11.022","usgsCitation":"Kennen, J., Sullivan, D.J., May, J., Bell, A.H., Beaulieu, K., and Rice, D.E., 2012, Temporal changes in aquatic-invertebrate and fish assemblages in streams of the north-central and northeastern U.S.: Ecological Indicators, v. 18, p. 312-329, https://doi.org/10.1016/j.ecolind.2011.11.022.","productDescription":"17 p.","startPage":"312","endPage":"329","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":470,"text":"New Jersey Water Science 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,{"id":70039893,"text":"ofr20121160 - 2012 - Assessment of groundwater, soil-gas, and soil contamination at the Vietnam Armor Training Facility, Fort Gordon, Georgia, 2009-2011","interactions":[],"lastModifiedDate":"2018-08-15T14:58:11","indexId":"ofr20121160","displayToPublicDate":"2012-09-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1160","title":"Assessment of groundwater, soil-gas, and soil contamination at the Vietnam Armor Training Facility, Fort Gordon, Georgia, 2009-2011","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon, Georgia, assessed the groundwater, soil gas, and soil for contaminants at the Vietnam Armor Training Facility (VATF) at Fort Gordon, from October 2009 to September 2011. The assessment included the detection of organic compounds in the groundwater and soil gas, and inorganic compounds in the soil. In addition, organic contaminant assessment included organic compounds classified as explosives and chemical agents in selected areas. The assessment was conducted to provide environmental contamination data to the U.S. Army at Fort Gordon pursuant to requirements of the Resource Conservation and Recovery Act Part B Hazardous Waste Permit process. This report is a revision of \"Assessment of soil-gas, surface-water, and soil contamination at the Vietnam Armor Training Facility, Fort Gordon, Georgia, 2009-2010,\" Open-File Report 2011-1200, and supersedes that report to include results of additional samples collected in July 2011. Four passive samplers were deployed in groundwater wells at the VATF in Fort Gordon. Total petroleum hydrocarbons and benzene and octane were detected above the method detection level at all four wells. The only other volatile organic compounds detected above their method detection level were undecane and pentadecane, which were detected in two of the four wells. Soil-gas samplers were deployed at 72 locations in a grid pattern across the VATF on June 3, 2010, and then later retrieved on June 9, 2010. Total petroleum hydrocarbons were detected in 71 of the 72 samplers (one sampler was destroyed in the field and not analyzed) at levels above the method detection level, and the combined mass of benzene, toluene, ethylbenzene, and total xylene (BTEX) was detected above the detection level in 31 of the 71 samplers that were analyzed. Other volatile organic compounds detected above their respective method detection levels were naphthalene, 2-methyl-naphthalene, tridecane, 1,2,4-trimethylbenzene, and perchloroethylene. After the results of the 71 soil-gas samplers were received, 31 additional passive soil-gas samplers were deployed on July 14, 2011, and retrieved on July 18, 2011. These 31 samplers were deployed on a larger areal scale to better define the extent of the contamination. Total petroleum hydrocarbons were detected above their method detection level at all 31 samplers, whereas BTEX was detected above its method detection level at 17 of the 31 samplers. Other organic compounds detected above their method detection levels were naphthalene, 2-methyl-naphthalene, octane, undecane, tridecane, pentadecane, 1,2,4-trimethylbenzene, 1,3,5-trimethylbenzene, chloroform, and perchloroethylene. Subsequent to the 2010 soil-gas survey, four areas determined to have elevated contaminant mass were selected and sampled for explosives and chemical agents. No detections of explosives or chemical agents above their respective method detection levels were found at any of the sampling locations. The same four locations that were sampled for explosives and chemical agents were selected for the collection of soil samples. A fifth location also was selected on the basis of the elevated contaminant mass of the soil-gas survey. No metals that exceeded the Regional Screening Levels for Industrial Soils, as classified by the U.S. Environmental Protection Agency, were detected at any of the five VATF locations. The soil samples also were compared to values from the ambient, uncontaminated (background) levels for soils in South Carolina, as classified by the South Carolina Department of Health and Environmental Control. Because South Carolina is adjacent to Georgia and the soils in the Coastal Plain are similar, these comparisons are valid. No similar values are available for Georgia to use for comparison purposes. The metals that were detected above the ambient background levels for South Carolina, as classified by the South Carolina Department of Health and Environmental Control, include aluminum, arsenic, barium, beryllium, calcium, chromium, copper, iron, lead, magnesium, manganese, nickel, potassium, sodium, and zinc.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121160","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Guimaraes, W.B., Falls, W.F., Caldwell, A.W., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2012, Assessment of groundwater, soil-gas, and soil contamination at the Vietnam Armor Training Facility, Fort Gordon, Georgia, 2009-2011: U.S. Geological Survey Open-File Report 2012-1160, vi, 56 p., https://doi.org/10.3133/ofr20121160.","productDescription":"vi, 56 p.","numberOfPages":"66","onlineOnly":"Y","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":261872,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1160.gif"},{"id":261863,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1160/pdf/ofr2012-1160.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":261862,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1160/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","country":"United States","state":"Georgia","city":"Fort Gordon","otherGeospatial":"Vietnam Armor Training Facility","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.40295410156249,\n              33.23868752757414\n            ],\n            [\n              -82.4036407470703,\n              33.46638955379554\n            ],\n            [\n              -82.08333333333333,\n              33.46666666666667\n            ],\n            [\n              -82.08572387695312,\n              33.23409295522519\n            ],\n            [\n              -82.40295410156249,\n              33.23868752757414\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee37e4b0c8380cd49c22","contributors":{"authors":[{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falls, W. 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,{"id":70039864,"text":"70039864 - 2012 - Frequency of nest use by golden eagles in southwestern Idaho","interactions":[],"lastModifiedDate":"2012-09-12T17:16:23","indexId":"70039864","displayToPublicDate":"2012-09-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Frequency of nest use by golden eagles in southwestern Idaho","docAbstract":"We studied nest use by Golden Eagles (Aquila chrysaetos) from 1966 to 2011 to assess nest reuse within territories, ascertain the length of time that elapses between uses of nests, and test the hypotheses that reproductive success and adult turnover influence nest switching. Golden Eagles used 454 nests in 66 territories and used individual nests 1 to 26 times during 45 continuous years of observation. Time between reuse ranged from 1 to 39 yr. Distances between nearest adjacent alternative nests within territories ranged between <1 and 1822 m, and distances between 90% of adjacent nests were <500 m. Of all nests used, 21% fell or disintegrated, and 31% were newly constructed during the study. Nest switching was not associated with the previous year's nesting success, but eagles tended to change nests after turnover of at least one member of the pair. Five of 42 nests used in 1971 and monitored continuously through 2011 were used only once and 21 were used >5 times. Two nests were unused for 21 and 27 yr after 1971 before being used every 1 to 3 yr thereafter. Eagles used 43% of the nests in series of consecutive years (range 3 to 20 consecutive nestings). Protecting unused nests for a proposed 10 yr after the last known use would not have protected 34% of all 300 nests that were reused during the study and 49% of 37 reused nests monitored consistently for 41 yr. The 102 nests that would not have received protection were in 56 of the 66 territories.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Raptor Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Raptor Research Foundation","publisherLocation":"http://www.raptorresearchfoundation.org/","doi":"10.3356/JRR-12-00001.1","usgsCitation":"Kochert, M.N., and Steenhof, K., 2012, Frequency of nest use by golden eagles in southwestern Idaho: Journal of Raptor Research, v. 46, no. 3, p. 239-247, https://doi.org/10.3356/JRR-12-00001.1.","productDescription":"9 p.","startPage":"239","endPage":"247","numberOfPages":"9","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":474494,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-12-00001.1","text":"Publisher Index Page"},{"id":261860,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261848,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3356/JRR-12-00001.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","volume":"46","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a13d1e4b0c8380cd547b9","contributors":{"authors":[{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","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":467091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":30585,"corporation":false,"usgs":true,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":467092,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044051,"text":"70044051 - 2012 - Trimming the UCERF2 hazard logic tree","interactions":[],"lastModifiedDate":"2020-09-11T18:32:20.672253","indexId":"70044051","displayToPublicDate":"2012-09-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Trimming the UCERF2 hazard logic tree","docAbstract":"The Uniform California Earthquake Rupture Forecast 2 (UCERF2) is a fully time‐dependent earthquake rupture forecast developed with sponsorship of the California Earthquake Authority (Working Group on California Earthquake Probabilities [WGCEP], 2007; Field et al., 2009). UCERF2 contains 480 logic‐tree branches reflecting choices among nine modeling uncertainties in the earthquake rate model shown in Figure 1. For seismic hazard analysis, it is also necessary to choose a ground‐motion‐prediction equation (GMPE) and set its parameters. Choosing among four next‐generation attenuation (NGA) relationships results in a total of 1920 hazard calculations per site. The present work is motivated by a desire to reduce the computational effort involved in a hazard analysis without understating uncertainty. We set out to assess which branching points of the UCERF2 logic tree contribute most to overall uncertainty, and which might be safely ignored (set to only one branch) without significantly biasing results or affecting some useful measure of uncertainty. The trimmed logic tree will have all of the original choices from the branching points that contribute significantly to uncertainty, but only one arbitrarily selected choice from the branching points that do not.","language":"English","doi":"10.1785/0220120012","usgsCitation":"Porter, K.A., Field, E.H., and Milner, K., 2012, Trimming the UCERF2 hazard logic tree: Seismological Research Letters, v. 83, no. 5, p. 815-828, https://doi.org/10.1785/0220120012.","productDescription":"14 p.","startPage":"815","endPage":"828","numberOfPages":"14","ipdsId":"IP-039084","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-09-06","publicationStatus":"PW","scienceBaseUri":"53cd79afe4b0b2908510cfec","contributors":{"authors":[{"text":"Porter, Keith A.","contributorId":28883,"corporation":false,"usgs":true,"family":"Porter","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milner, Kevin","contributorId":28886,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin","affiliations":[],"preferred":false,"id":474709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039883,"text":"ds714 - 2012 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2011","interactions":[],"lastModifiedDate":"2012-09-12T17:16:23","indexId":"ds714","displayToPublicDate":"2012-09-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"714","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2011","docAbstract":"The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25&ndash;40 miles wide. The basin is defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift within the basin. Drinking-water supplies throughout the basin were obtained solely from groundwater resources until December 2008, when surface water from the Rio Grande began being treated and integrated into the system. An increase of about 20 percent in the basin human population from 1990 to 2000 and of about 22 percent increase from 2000 to 2010 also resulted in an increased demand for water. A network of wells was established by the U.S. Geological Survey in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the basin. This network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly in 1983. Currently (2011), the network consists of 126 wells and piezometers (a piezometer is a specialized well open to a specific depth in the aquifer and is often of small diameter and nested with other piezometers open to different depths). This report presents water-level data collected by U.S. Geological Survey personnel at those 126 sites through water year 2011 to better help the Albuquerque Bernalillo County Water Utility Authority manage water use.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds714","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., 2012, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2011: U.S. Geological Survey Data Series 714, iii, 29 p.; col. ill.; maps (col.), https://doi.org/10.3133/ds714.","productDescription":"iii, 29 p.; col. ill.; maps (col.)","startPage":"i","endPage":"29","numberOfPages":"37","additionalOnlineFiles":"N","temporalEnd":"2011-09-30","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":261858,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_714.gif"},{"id":261847,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/714/ds714.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":261846,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/714/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Albuquerque Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcd5ee4b08c986b32e001","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":2619,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467144,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039876,"text":"ds696 - 2012 - Groundwater data for selected wells within the Eastern San Joaquin Groundwater Subbasin, California, 2003-8","interactions":[],"lastModifiedDate":"2025-05-15T13:53:20.076361","indexId":"ds696","displayToPublicDate":"2012-09-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"696","title":"Groundwater data for selected wells within the Eastern San Joaquin Groundwater Subbasin, California, 2003-8","docAbstract":"Data were collected by the U.S. Geological Survey from 2003 through 2008 in the Eastern San Joaquin Groundwater Subbasin, 80 miles east of San Francisco, California, as part of a study of the increasing chloride concentrations in groundwater processes. Data collected include geologic, geophysical, chemical, and hydrologic data collected during and after the installation of five multiple-well monitoring sites, from three existing multiple-well sites, and from 79 selected public-supply, irrigation, and domestic wells. Each multiple-well monitoring site installed as part of this study contained three to five 2-inch diameter polyvinyl chloride (PVC)-cased wells ranging in depth from 68 to 880 feet below land surface. Continuous water-level data were collected from the 19 wells installed at these 5 sites and from 10 existing monitoring wells at 3 additional multiple-well sites in the study area. Thirty-one electromagnetic logs were collected seasonally from the deepest PVC-cased monitoring well at seven multiple-well sites. About 200 water samples were collected from 79 wells in the study area. Coupled well-bore flow data and depth-dependent water-quality data were collected from 12 production wells under pumped conditions, and well-bore flow data were collected from 10 additional wells under unpumped conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds696","usgsCitation":"Clark, D.A., Izbicki, J., Metzger, L.F., Everett, R., Smith, G.A., O’Leary, D.R., Teague, N.F., and Burgess, M.K., 2012, Groundwater data for selected wells within the Eastern San Joaquin Groundwater Subbasin, California, 2003-8: U.S. Geological Survey Data Series 696, xii, 154 p., https://doi.org/10.3133/ds696.","productDescription":"xii, 154 p.","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":261840,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/696/pdf/ds696.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":261839,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/696/","linkFileType":{"id":5,"text":"html"}},{"id":261841,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_696.jpg"}],"country":"United States","state":"California","otherGeospatial":"Eastern San Joaquin Groundwater Subbasin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,37.5 ], [ -121.5,38.5 ], [ -120.5,38.5 ], [ -120.5,37.5 ], [ -121.5,37.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2d9ae4b0c8380cd5bf52","contributors":{"authors":[{"text":"Clark, Dennis A. daclark@usgs.gov","contributorId":1477,"corporation":false,"usgs":true,"family":"Clark","given":"Dennis","email":"daclark@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":467119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metzger, Loren F. 0000-0003-2454-2966 lmetzger@usgs.gov","orcid":"https://orcid.org/0000-0003-2454-2966","contributorId":1378,"corporation":false,"usgs":true,"family":"Metzger","given":"Loren","email":"lmetzger@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":467118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":467116,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Gregory A. 0000-0001-8170-9924 gasmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8170-9924","contributorId":1520,"corporation":false,"usgs":true,"family":"Smith","given":"Gregory","email":"gasmith@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":467120,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Leary, David R. 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":2143,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":467122,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Teague, Nicholas F. 0000-0001-5289-1210 nteague@usgs.gov","orcid":"https://orcid.org/0000-0001-5289-1210","contributorId":2145,"corporation":false,"usgs":true,"family":"Teague","given":"Nicholas","email":"nteague@usgs.gov","middleInitial":"F.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467123,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burgess, Matthew K. 0000-0002-2828-8910 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-2828-8910","contributorId":2115,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":467121,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70039879,"text":"ofr20121096 - 2012 - Unsupervised classification of lidar-based vegetation structure metrics at Jean Lafitte National Historical Park and Preserve","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"ofr20121096","displayToPublicDate":"2012-09-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1096","title":"Unsupervised classification of lidar-based vegetation structure metrics at Jean Lafitte National Historical Park and Preserve","docAbstract":"Traditional vegetation maps capture the horizontal distribution of various vegetation properties, for example, type, species and age/senescence, across a landscape. Ecologists have long known, however, that many important forest properties, for example, interior microclimate, carbon capacity, biomass and habitat suitability, are also dependent on the vertical arrangement of branches and leaves within tree canopies. The objective of this study was to use a digital elevation model (DEM) along with tree canopy-structure metrics derived from a lidar survey conducted using the Experimental Advanced Airborne Research Lidar (EAARL) to capture a three-dimensional view of vegetation communities in the Barataria Preserve unit of Jean Lafitte National Historical Park and Preserve, Louisiana. The EAARL instrument is a raster-scanning, full waveform-resolving, small-footprint, green-wavelength (532-nanometer) lidar system designed to map coastal bathymetry, topography and vegetation structure simultaneously. An unsupervised clustering procedure was then applied to the 3-dimensional-based metrics and DEM to produce a vegetation map based on the vertical structure of the park's vegetation, which includes a flotant marsh, scrub-shrub wetland, bottomland hardwood forest, and baldcypress-tupelo swamp forest. This study was completed in collaboration with the National Park Service Inventory and Monitoring Program's Gulf Coast Network. The methods presented herein are intended to be used as part of a cost-effective monitoring tool to capture change in park resources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121096","collaboration":"Prepared in collaboration with the National Park Service Inventory and Monitoring Program's Gulf Coast Network","usgsCitation":"Kranenburg, C., Palaseanu-Lovejoy, M., Nayegandhi, A., Brock, J., and Woodman, R., 2012, Unsupervised classification of lidar-based vegetation structure metrics at Jean Lafitte National Historical Park and Preserve: U.S. Geological Survey Open-File Report 2012-1096, v, 19 p., https://doi.org/10.3133/ofr20121096.","productDescription":"v, 19 p.","numberOfPages":"27","onlineOnly":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":261845,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1096.jpg"},{"id":261843,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1096/","linkFileType":{"id":5,"text":"html"}},{"id":261844,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1096/pdf/2012-1096.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Preserve;Jean Lafitte National Historical Park And Preserve;Lake Salvador;Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.75,29.5 ], [ -90.75,30.25 ], [ -89.25,30.25 ], [ -89.25,29.5 ], [ -90.75,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbcf6e4b08c986b328e70","contributors":{"authors":[{"text":"Kranenburg, Christine J. ckranenburg@usgs.gov","contributorId":3924,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine J.","email":"ckranenburg@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":467132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118 mpal@usgs.gov","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":3639,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","email":"mpal@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":467131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":467133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brock, John","contributorId":39011,"corporation":false,"usgs":true,"family":"Brock","given":"John","affiliations":[],"preferred":false,"id":467134,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woodman, Robert","contributorId":81355,"corporation":false,"usgs":true,"family":"Woodman","given":"Robert","email":"","affiliations":[],"preferred":false,"id":467135,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039880,"text":"70039880 - 2012 - Mapping wintering waterfowl distributions using weather surveillance radar","interactions":[],"lastModifiedDate":"2012-09-12T17:16:23","indexId":"70039880","displayToPublicDate":"2012-09-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Mapping wintering waterfowl distributions using weather surveillance radar","docAbstract":"The current network of weather surveillance radars within the United States readily detects flying birds and has proven to be a useful remote-sensing tool for ornithological study. Radar reflectivity measures serve as an index to bird density and have been used to quantitatively map landbird distributions during migratory stopover by sampling birds aloft at the onset of nocturnal migratory flights. Our objective was to further develop and validate a similar approach for mapping wintering waterfowl distributions using weather surveillance radar observations at the onset of evening flights. We evaluated data from the Sacramento, CA radar (KDAX) during winters 1998&ndash;1999 and 1999&ndash;2000. We determined an optimal sampling time by evaluating the accuracy and precision of radar observations at different times during the onset of evening flight relative to observed diurnal distributions of radio-marked birds on the ground. The mean time of evening flight initiation occurred 23 min after sunset with the strongest correlations between reflectivity and waterfowl density on the ground occurring almost immediately after flight initiation. Radar measures became more spatially homogeneous as evening flight progressed because birds dispersed from their departure locations. Radars effectively detected birds to a mean maximum range of 83 km during the first 20 min of evening flight. Using a sun elevation angle of -5&deg; (28 min after sunset) as our optimal sampling time, we validated our approach using KDAX data and additional data from the Beale Air Force Base, CA (KBBX) radar during winter 1998&ndash;1999. Bias-adjusted radar reflectivity of waterfowl aloft was positively related to the observed diurnal density of radio-marked waterfowl locations on the ground. Thus, weather radars provide accurate measures of relative wintering waterfowl density that can be used to comprehensively map their distributions over large spatial extents.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0041571","usgsCitation":"Buler, J., Randall, L.A., Fleskes, J.P., Barrow, W., Bogart, T., and Kluver, D., 2012, Mapping wintering waterfowl distributions using weather surveillance radar: PLoS ONE, v. 7, no. 7, 9 p.; e41571, https://doi.org/10.1371/journal.pone.0041571.","productDescription":"9 p.; e41571","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":474363,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0041571","text":"Publisher Index Page"},{"id":261856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261838,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0041571","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"7","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-07-23","publicationStatus":"PW","scienceBaseUri":"505a5093e4b0c8380cd6b7ae","contributors":{"authors":[{"text":"Buler, Jeffrey J.","contributorId":78431,"corporation":false,"usgs":true,"family":"Buler","given":"Jeffrey J.","affiliations":[],"preferred":false,"id":467141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Randall, Lori A. 0000-0003-0100-994X randalll@usgs.gov","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":2678,"corporation":false,"usgs":true,"family":"Randall","given":"Lori","email":"randalll@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":467138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":467136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrow, Wylie C. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":1988,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","email":"barroww@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":467137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bogart, Tianna","contributorId":73868,"corporation":false,"usgs":true,"family":"Bogart","given":"Tianna","email":"","affiliations":[],"preferred":false,"id":467140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kluver, Daria","contributorId":9906,"corporation":false,"usgs":true,"family":"Kluver","given":"Daria","email":"","affiliations":[],"preferred":false,"id":467139,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039865,"text":"70039865 - 2012 - Ecosystem development after mangrove wetland creation: plant-soil change across a 20-year chronosequence","interactions":[],"lastModifiedDate":"2012-09-12T17:16:23","indexId":"70039865","displayToPublicDate":"2012-09-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem development after mangrove wetland creation: plant-soil change across a 20-year chronosequence","docAbstract":"Mangrove wetland restoration and creation efforts are increasingly proposed as mechanisms to compensate for mangrove wetland losses. However, ecosystem development and functional equivalence in restored and created mangrove wetlands are poorly understood. We compared a 20-year chronosequence of created tidal wetland sites in Tampa Bay, Florida (USA) to natural reference mangrove wetlands. Across the chronosequence, our sites represent the succession from salt marsh to mangrove forest communities. Our results identify important soil and plant structural differences between the created and natural reference wetland sites; however, they also depict a positive developmental trajectory for the created wetland sites that reflects tightly coupled plant-soil development. Because upland soils and/or dredge spoils were used to create the new mangrove habitats, the soils at younger created sites and at lower depths (10-30 cm) had higher bulk densities, higher sand content, lower soil organic matter (SOM), lower total carbon (TC), and lower total nitrogen (TN) than did natural reference wetland soils. However, in the upper soil layer (0-10 cm), SOM, TC, and TN increased with created wetland site age simultaneously with mangrove forest growth. The rate of created wetland soil C accumulation was comparable to literature values for natural mangrove wetlands. Notably, the time to equivalence for the upper soil layer of created mangrove wetlands appears to be faster than for many other wetland ecosystem types. Collectively, our findings characterize the rate and trajectory of above- and below-ground changes associated with ecosystem development in created mangrove wetlands; this is valuable information for environmental managers planning to sustain existing mangrove wetlands or mitigate for mangrove wetland losses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10021-012-9551-1","usgsCitation":"Osland, M.J., Spivak, A., Nestlerode, J.A., Lessmann, J.M., Almario, A., Heitmuller, P.T., Russell, M.J., Krauss, K.W., Alvarez, F., Dantin, D., Harvey, J., From, A., Cormier, N., and Stagg, C.L., 2012, Ecosystem development after mangrove wetland creation: plant-soil change across a 20-year chronosequence: Ecosystems, v. 15, no. 5, p. 848-866, https://doi.org/10.1007/s10021-012-9551-1.","productDescription":"19 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