The 2007 Energy Independence and Security Act (Public Law 110–140) directs the U.S. Geological Survey (USGS) to conduct a national assessment of potential geologic storage resources for carbon dioxide (CO2) and to consult with other Federal and State agencies to locate the pertinent geological data needed for the assessment. The geologic sequestration of CO2 is one possible way to mitigate its effects on climate change. The methodology used for the national CO2 assessment (Open-File Report 2010-1127; http://pubs.usgs.gov/of/2010/1127/) is based on previous USGS probabilistic oil and gas assessment methodologies. The methodology is non-economic and intended to be used at regional to subbasinal scales. The operational unit of the assessment is a storage assessment unit (SAU), composed of a porous storage formation with fluid flow and an overlying sealing unit with low permeability. Assessments are conducted at the SAU level and are aggregated to basinal and regional results. This report identifies and contains geologic descriptions of SAUs in separate packages of sedimentary rocks within the assessed basin and focuses on the particular characteristics, specified in the methodology, that influence the potential CO2 storage resource in those SAUs. Specific descriptions of the SAU boundaries as well as their sealing and reservoir units are included. Properties for each SAU such as depth to top, gross thickness, net porous thickness, porosity, permeability, groundwater quality, and structural reservoir traps are provided to illustrate geologic factors critical to the assessment. Although assessment results are not contained in this report, the geologic information included here will be employed, as specified in the methodology, to calculate a statistical Monte Carlo-based distribution of potential storage space in the various SAUs. Figures in this report show SAU boundaries and cell maps of well penetrations through the sealing unit into the top of the storage formation. Wells sharing the same well borehole are treated as a single penetration. Cell maps show the number of penetrating wells within one square mile and are derived from interpretations of incompletely attributed well data, a digital compilation that is known not to include all drilling. The USGS does not expect to know the location of all wells and cannot guarantee the amount of drilling through specific formations in any given cell shown on cell maps.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121024","usgsCitation":"2012, Geologic framework for the national assessment of carbon dioxide storage resources: U.S. Geological Survey Open-File Report 2012-1024, 14 Chapters; 4 Data Releases; Spatial Data, https://doi.org/10.3133/ofr20121024.","productDescription":"14 Chapters; 4 Data Releases; Spatial Data","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":483457,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14E9HDA","text":"USGS data release","linkHelpText":"Carbon Dioxide Storage Resources - Anadarko and Southern Oklahoma Basins: Chapter R. Spatial Data"},{"id":483456,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1KEV3C2","text":"USGS data release","linkHelpText":"Carbon Dioxide Storage Resources - California Basins: Chapter Q, Spatial Data"},{"id":438796,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13D7IQS","text":"USGS data release","linkHelpText":"Carbon Dioxide Storage Resources - Appalachian Basin, Black Warrior Basin, Illinois Basin, and Michigan Basin: Chapter P, Spatial Data"},{"id":483455,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1YASJBA","text":"USGS data release","linkHelpText":"Carbon Dioxide Storage Resources - Wind River Basin: Chapter O, Spatial Data"},{"id":282039,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1024/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":282040,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ofr20121024.png"},{"id":374895,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2012/1024/ofr20121024_shapefiles.pdf","text":"Shapefiles","size":"89.2 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Shapefiles"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5bb9e4b0b290850fa140","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":544645,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Corum, M.D. 0000-0002-9038-3935 mcorum@usgs.gov","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":2249,"corporation":false,"usgs":true,"family":"Corum","given":"M.D.","email":"mcorum@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":544646,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70042683,"text":"70042683 - 2012 - On the use of wave parameterizations and a storm impact scaling model in National Weather Service Coastal Flood and decision support operations","interactions":[],"lastModifiedDate":"2013-07-09T10:45:54","indexId":"70042683","displayToPublicDate":"2013-01-01T10:38:46","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"On the use of wave parameterizations and a storm impact scaling model in National Weather Service Coastal Flood and decision support operations","docAbstract":"National Weather Service (NWS) Weather Forecast Offices (WFO) are responsible for issuing coastal flood watches, warnings, advisories, and local statements to alert decision makers and the general public when rising water levels may lead to coastal impacts such as inundation, erosion, and wave battery. Both extratropical and tropical cyclones can generate the prerequisite rise in water level to set the stage for a coastal impact event. Forecasters use a variety of tools including computer model guidance and local studies to help predict the potential severity of coastal flooding. However, a key missing component has been the incorporation of the effects of waves in the prediction of total water level and the associated coastal impacts.\n\nSeveral recent studies have demonstrated the importance of incorporating wave action into the NWS coastal flood program. To follow up on these studies, this paper looks at the potential of applying recently developed empirical parameterizations of wave setup, swash, and runup to the NWS forecast process. Additionally, the wave parameterizations are incorporated into a storm impact scaling model that compares extreme water levels to beach elevation data to determine the mode of coastal change at predetermined “hotspots” of interest. Specifically, the storm impact model compares the approximate storm-induced still water level, which includes contributions from tides, storm surge, and wave setup, to dune crest elevation to determine inundation potential. The model also compares the combined effects of tides, storm surge, and the 2 % exceedance level for vertical wave runup (including both wave setup and swash) to dune toe and crest elevations to determine if erosion and/or ocean overwash may occur. The wave parameterizations and storm impact model are applied to two cases in 2009 that led to significant coastal impacts and unique forecast challenges in North Carolina: the extratropical “Nor'Ida” event during 11-14 November and the large swell event from distant Hurricane Bill on 22 August. The coastal impacts associated with Nor'Ida were due to the combined effects of surge, tide, and wave processes and led to an estimated 5.8 million dollars in damage. While the impacts from Hurricane Bill were not as severe as Nor'Ida, they were mainly associated with wave processes. Thus, this event exemplifies the importance of incorporating waves into the total water level and coastal impact prediction process. These examples set the stage for potential future applications including adaption to the more complex topography along the New England coast.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"92nd American Meteorological Society Annual Meeting, January 22-26, 2012","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Meteorological Society","usgsCitation":"Mignone, A., Stockdon, H., Willis, M., Cannon, J., and Thompson, R., 2012, On the use of wave parameterizations and a storm impact scaling model in National Weather Service Coastal Flood and decision support operations, in 92nd American Meteorological Society Annual Meeting, January 22-26, 2012, 9 p.","productDescription":"9 p.","ipdsId":"IP-034554","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274743,"type":{"id":15,"text":"Index Page"},"url":"https://ams.confex.com/ams/92Annual/webprogram/Paper196615.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd30eee4b0f72b44719cb2","contributors":{"authors":[{"text":"Mignone, Anthony","contributorId":77825,"corporation":false,"usgs":true,"family":"Mignone","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":472050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockdon, H.","contributorId":71351,"corporation":false,"usgs":true,"family":"Stockdon","given":"H.","affiliations":[],"preferred":false,"id":472049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willis, M.","contributorId":82910,"corporation":false,"usgs":true,"family":"Willis","given":"M.","email":"","affiliations":[],"preferred":false,"id":472051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, J.W.","contributorId":39676,"corporation":false,"usgs":true,"family":"Cannon","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":472048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, R.","contributorId":103444,"corporation":false,"usgs":true,"family":"Thompson","given":"R.","affiliations":[],"preferred":false,"id":472052,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70044105,"text":"70044105 - 2012 - Primary mapping and stratigraphic data and field methods for the Snowmastodon Project","interactions":[],"lastModifiedDate":"2013-07-25T10:39:59","indexId":"70044105","displayToPublicDate":"2013-01-01T10:16:12","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":222,"text":"Technical Report","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"2012-04","title":"Primary mapping and stratigraphic data and field methods for the Snowmastodon Project","docAbstract":"During the Snowmastodon Project, many different people collected data for a wide array of purposes under a variety of conditions. Early in the process and in an attempt to provide project-wide consistency, Kirk Johnson appointed Carol Lucking as the project’s data manager both in the field and the lab. She was responsible for using GIS to create maps on an ongoing basis throughout the project. Jeff Pigati agreed to measure stratigraphic sections and coordinate the collection of various nonvertebrate samples to make sure that all resulting data could be plotted on common diagrams. Kirk Johnson was onsite for the entire project and measured the basin margin stratigraphy on a daily basis as it was destroyed by the digging teams. In the fall of 2010, we treated the upper part of the site (which included discrete excavations for the mammoth, deer, and bison skeletons) as an archaeological excavation and the lower part of the site (which contained isolated mastodon, ground sloth, and bison bones) as a construction salvage site.","language":"English","publisher":"Denver Museum of Nature & Science","publisherLocation":"Denver, CO","usgsCitation":"Lucking, C., Johnson, K.R., Pigati, J., and Miller, I., 2012, Primary mapping and stratigraphic data and field methods for the Snowmastodon Project: Technical Report 2012-04, 101 p.","productDescription":"101 p.","numberOfPages":"102","ipdsId":"IP-038917","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":275384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275380,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280453/pages_61-72_from_technical_report.pdf"},{"id":275378,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280447/pages_16-48_from_technical_report.pdf"},{"id":275379,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280450/pages_49-60_from_technical_report.pdf"},{"id":275375,"type":{"id":11,"text":"Document"},"url":"https://www.dmns.org/media/1280444/pages_1-15_from_technical_reportred.pdf"},{"id":275381,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280456/pages_74-79_from_technical_report.pdf"},{"id":275382,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280459/pages_80-85_from_technical_report.pdf"},{"id":275383,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280462/pages_87-102_from_technical_report.pdf"}],"country":"United States","state":"Colorado","city":"Snowmass Village","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.989321,39.155859 ], [ -106.989321,39.291971 ], [ -106.897133,39.291971 ], [ -106.897133,39.155859 ], [ -106.989321,39.155859 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f25422e4b0279fe2e1c01e","contributors":{"authors":[{"text":"Lucking, Carol","contributorId":36035,"corporation":false,"usgs":true,"family":"Lucking","given":"Carol","email":"","affiliations":[],"preferred":false,"id":474820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kirk R.","contributorId":16877,"corporation":false,"usgs":true,"family":"Johnson","given":"Kirk","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigati, Jeffery S. jpigati@usgs.gov","contributorId":1270,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffery S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":474818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Ian","contributorId":66573,"corporation":false,"usgs":true,"family":"Miller","given":"Ian","affiliations":[],"preferred":false,"id":474821,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047758,"text":"70047758 - 2012 - Data-driven modeling of surface temperature anomaly and solar activity trends","interactions":[],"lastModifiedDate":"2013-08-22T10:09:15","indexId":"70047758","displayToPublicDate":"2013-01-01T10:06:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Data-driven modeling of surface temperature anomaly and solar activity trends","docAbstract":"A novel two-step modeling scheme is used to reconstruct and analyze surface temperature and solar activity data at global, hemispheric, and regional scales. First, the self-organizing map (SOM) technique is used to extend annual modern climate data from the century to millennial scale. The SOM component planes are used to identify and quantify strength of nonlinear relations among modern surface temperature anomalies (<150 years), tropical and extratropical teleconnections, and Palmer Drought Severity Indices (0–2000 years). Cross-validation of global sea and land surface temperature anomalies verifies that the SOM is an unbiased estimator with less uncertainty than the magnitude of anomalies. Second, the quantile modeling of SOM reconstructions reveal trends and periods in surface temperature anomaly and solar activity whose timing agrees with published studies. Temporal features in surface temperature anomalies, such as the Medieval Warm Period, Little Ice Age, and Modern Warming Period, appear at all spatial scales but whose magnitudes increase when moving from ocean to land, from global to regional scales, and from southern to northern regions. Some caveats that apply when interpreting these data are the high-frequency filtering of climate signals based on quantile model selection and increased uncertainty when paleoclimatic data are limited. Even so, all models find the rate and magnitude of Modern Warming Period anomalies to be greater than those during the Medieval Warm Period. Lastly, quantile trends among reconstructed equatorial Pacific temperature profiles support the recent assertion of two primary El Niño Southern Oscillation types. These results demonstrate the efficacy of this alternative modeling approach for reconstructing and interpreting scale-dependent climate variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Modelling and Software","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2012.04.016","usgsCitation":"Friedel, M.J., 2012, Data-driven modeling of surface temperature anomaly and solar activity trends: Environmental Modelling and Software, v. 37, p. 217-232, https://doi.org/10.1016/j.envsoft.2012.04.016.","productDescription":"16 p.","startPage":"217","endPage":"232","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":276887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276886,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2012.04.016"}],"volume":"37","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521732e3e4b043bae8d2e5d3","contributors":{"authors":[{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482905,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047005,"text":"70047005 - 2012 - A historical estimate of apparent survival of American oystercatcher (Haematopus palliatus) in Virginia","interactions":[],"lastModifiedDate":"2021-01-05T19:05:14.72053","indexId":"70047005","displayToPublicDate":"2013-01-01T10:03:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"A historical estimate of apparent survival of American oystercatcher (Haematopus palliatus) in Virginia","docAbstract":"Using mark-recapture models, apparent survival was estimated from older banding and re-sighting data (1978–1983) of American Oystercatchers (Haematopus palliatus) nesting on beaches and in salt marshes of coastal Virginia, USA. Oystercatchers nesting in salt marshes exhibited higher apparent survival (0.94 ±0.03) than birds nesting on beaches (0.81 ±0.06), a difference due to variation in mortality, permanent emigration, or both. Nesting on exposed barrier beaches may subject adults and young to higher risk of predation. These early estimates of adult survival for a species that is heavily monitored along the Atlantic and Gulf Coasts can be used to (1) develop demographic models to determine population stability, (2) compare with estimates of adult survival from populations that have reached carrying capacity, and (3) compare with estimates of survival from other oystercatcher populations and species.","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0412","usgsCitation":"Nol, E., Murphy, S.P., and Cadman, M.D., 2012, A historical estimate of apparent survival of American oystercatcher (Haematopus palliatus) in Virginia: Waterbirds, v. 35, no. 4, p. 631-635, https://doi.org/10.1675/063.035.0412.","productDescription":"5 p.","startPage":"631","endPage":"635","ipdsId":"IP-039671","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":381892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.6754,36.5408 ], [ -83.6754,39.466 ], [ -75.2422,39.466 ], [ -75.2422,36.5408 ], [ -83.6754,36.5408 ] ] ] } } ] }","volume":"35","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e2e4b069f8d27cca83","contributors":{"authors":[{"text":"Nol, Erica","contributorId":38459,"corporation":false,"usgs":true,"family":"Nol","given":"Erica","affiliations":[],"preferred":false,"id":480845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sean P.","contributorId":50067,"corporation":false,"usgs":true,"family":"Murphy","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":480846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cadman, Michael D.","contributorId":28146,"corporation":false,"usgs":true,"family":"Cadman","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":480844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045927,"text":"70045927 - 2012 - Predicting the geographic distribution of a species from presence-only data subject to detection errors","interactions":[],"lastModifiedDate":"2013-07-23T10:01:10","indexId":"70045927","displayToPublicDate":"2013-01-01T09:58:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the geographic distribution of a species from presence-only data subject to detection errors","docAbstract":"Several models have been developed to predict the geographic distribution of a species by combining measurements of covariates of occurrence at locations where the species is known to be present with measurements of the same covariates at other locations where species occurrence status (presence or absence) is unknown. In the absence of species detection errors, spatial point-process models and binary-regression models for case-augmented surveys provide consistent estimators of a species’ geographic distribution without prior knowledge of species prevalence. In addition, these regression models can be modified to produce estimators of species abundance that are asymptotically equivalent to those of the spatial point-process models. However, if species presence locations are subject to detection errors, neither class of models provides a consistent estimator of covariate effects unless the covariates of species abundance are distinct and independently distributed from the covariates of species detection probability. These analytical results are illustrated using simulation studies of data sets that contain a wide range of presence-only sample sizes. Analyses of presence-only data of three avian species observed in a survey of landbirds in western Montana and northern Idaho are compared with site-occupancy analyses of detections and nondetections of these species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biometrics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The International Biometric Society","doi":"10.1111/j.1541-0420.2012.01779.x","usgsCitation":"Dorazio, R.M., 2012, Predicting the geographic distribution of a species from presence-only data subject to detection errors: Biometrics, v. 68, no. 4, p. 1303-1312, https://doi.org/10.1111/j.1541-0420.2012.01779.x.","productDescription":"10 p.","startPage":"1303","endPage":"1312","ipdsId":"IP-030620","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":275271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275270,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1541-0420.2012.01779.x"}],"volume":"68","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-08-31","publicationStatus":"PW","scienceBaseUri":"51efa5f5e4b0b09fbe58f1c3","contributors":{"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":478543,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047464,"text":"70047464 - 2012 - Late Quaternary sedimentological and climate changes at Lake Bosumtwi Ghana: new constraints from laminae analysis and radiocarbon age modeling","interactions":[],"lastModifiedDate":"2013-08-07T09:42:55","indexId":"70047464","displayToPublicDate":"2013-01-01T09:37:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary sedimentological and climate changes at Lake Bosumtwi Ghana: new constraints from laminae analysis and radiocarbon age modeling","docAbstract":"The Lake Bosumtwi sediment record represents one of the longest and highest-resolution terrestrial records of paleoclimate change available from sub-Saharan Africa. Here we report a new sediment age model framework for the last ~ 45 cal kyr of sedimentation using a combination of high-resolution radiocarbon dating, Bayesian age-depth modeling and lamination counting. Our results highlight the practical limits of these methods for reducing age model uncertainties and suggest that even with very high sampling densities, radiocarbon uncertainties of at least a few hundred years are unavoidable. Age model uncertainties are smallest during the Holocene (205 yr) and the glacial (360 yr) but are large at the base of the record (1660 yr), due to a combination of decreasing sample density, larger calibration uncertainties and increases in radiocarbon age scatter. For portions of the chronology older than ~ 35 cal kyr, additional considerations, such as the use of a low-blank graphitization system and more rigorous sample pretreatment were necessary to generate a reliable age depth model because of the incorporation of small amounts of younger carbon. A comparison of radiocarbon age model results and lamination counts over the time interval ~ 15–30 cal kyr agree with an overall discrepancy of ~ 10% and display similar changes in sedimentation rate, supporting the annual nature of sediment laminations in the early part of the record. Changes in sedimentation rates reconstructed from the age-depth model indicate that intervals of enhanced sediment delivery occurred at 16–19, 24 and 29–31 cal kyr, broadly synchronous with reconstructed drought episodes elsewhere in northern West Africa and potentially, with changes in Atlantic meridional heat transport during North Atlantic Heinrich events. These data suggest that millennial-scale drought events in the West African monsoon region were latitudinally extensive, reaching within several hundred kilometers of the Guinea coast. This is inconsistent with a simple southward shift in the mean position of the monsoon rainbelt, and requires changes in moisture convergence as a result of either a reduction in the moisture content of the tropical rainbelt, decreased convection, or both.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaeogeography, Palaeoclimatology, Palaeoecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2012.08.001","usgsCitation":"Shanahan, T.M., Beck, J.W., Overpeck, J.T., McKay, N.P., Pigati, J., Peck, J.A., Scholz, C.A., Heil, C.W., and King, J.W., 2012, Late Quaternary sedimentological and climate changes at Lake Bosumtwi Ghana: new constraints from laminae analysis and radiocarbon age modeling: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 361-362, p. 49-60, https://doi.org/10.1016/j.palaeo.2012.08.001.","productDescription":"12 p.","startPage":"49","endPage":"60","ipdsId":"IP-035765","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488165,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/gsofacpubs/1668","text":"External Repository"},{"id":276150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276149,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2012.08.001"}],"country":"Ghana","otherGeospatial":"Lake Bosumtwi","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -1.446644,6.470923 ], [ -1.446644,6.540851 ], [ -1.371768,6.540851 ], [ -1.371768,6.470923 ], [ -1.446644,6.470923 ] ] ] } } ] }","volume":"361-362","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a37ce4b02bdb1bc63fce","contributors":{"authors":[{"text":"Shanahan, Timothy M.","contributorId":85082,"corporation":false,"usgs":true,"family":"Shanahan","given":"Timothy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, J. 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Jr.","contributorId":44454,"corporation":false,"usgs":true,"family":"Heil","given":"Clifford","suffix":"Jr.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482104,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, John W.","contributorId":99601,"corporation":false,"usgs":false,"family":"King","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":482107,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70047469,"text":"70047469 - 2012 - Characterization of previously unidentified lunar pyroclastic deposits using Lunar Reconnaissance Orbiter Camera (LROC) data","interactions":[],"lastModifiedDate":"2019-02-12T09:42:40","indexId":"70047469","displayToPublicDate":"2013-01-01T09:23:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of previously unidentified lunar pyroclastic deposits using Lunar Reconnaissance Orbiter Camera (LROC) data","docAbstract":"We used a Lunar Reconnaissance Orbiter Camera (LROC) global monochrome Wide-angle Camera (WAC) mosaic to conduct a survey of the Moon to search for previously unidentified pyroclastic deposits. Promising locations were examined in detail using LROC multispectral WAC mosaics, high-resolution LROC Narrow Angle Camera (NAC) images, and Clementine multispectral (ultraviolet-visible or UVVIS) data. Out of 47 potential deposits chosen for closer examination, 12 were selected as probable newly identified pyroclastic deposits. Potential pyroclastic deposits were generally found in settings similar to previously identified deposits, including areas within or near mare deposits adjacent to highlands, within floor-fractured craters, and along fissures in mare deposits. However, a significant new finding is the discovery of localized pyroclastic deposits within floor-fractured craters Anderson E and F on the lunar farside, isolated from other known similar deposits. Our search confirms that most major regional and localized low-albedo pyroclastic deposits have been identified on the Moon down to ~100 m/pix resolution, and that additional newly identified deposits are likely to be either isolated small deposits or additional portions of discontinuous, patchy deposits.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JE003893","usgsCitation":"Gustafson, J.O., Bell, J., Gaddis, L.R., Hawke, B.R., and Giguere, T.A., 2012, Characterization of previously unidentified lunar pyroclastic deposits using Lunar Reconnaissance Orbiter Camera (LROC) data: Journal of Geophysical Research E: Planets, v. 117, no. E12, 21 p., https://doi.org/10.1029/2011JE003893.","productDescription":"21 p.","ipdsId":"IP-038463","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":474119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011je003893","text":"Publisher Index Page"},{"id":276148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","volume":"117","issue":"E12","noUsgsAuthors":false,"publicationDate":"2012-06-08","publicationStatus":"PW","scienceBaseUri":"5203a376e4b02bdb1bc63f86","contributors":{"authors":[{"text":"Gustafson, J. 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Ray","contributorId":76570,"corporation":false,"usgs":true,"family":"Hawke","given":"B.","email":"","middleInitial":"Ray","affiliations":[],"preferred":false,"id":482124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giguere, Thomas A.","contributorId":11030,"corporation":false,"usgs":true,"family":"Giguere","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482122,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70115387,"text":"70115387 - 2012 - Assessing consumption of bioactive micro-particles by filter-feeding Asian carp","interactions":[],"lastModifiedDate":"2014-07-03T09:34:39","indexId":"70115387","displayToPublicDate":"2013-01-01T09:16:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2174,"text":"Journal of Aquaculture Research & Development","active":true,"publicationSubtype":{"id":10}},"title":"Assessing consumption of bioactive micro-particles by filter-feeding Asian carp","docAbstract":"Silver carp Hypophthalmichthys molitrix (SVC) and bighead carp H. nobilis (BHC) have impacted waters in the US since their escape. Current chemical controls for aquatic nuisance species are non-selective. Development of a bioactive micro-particle that exploits filter-feeding habits of SVC or BHC could result in a new control tool. It is not fully understood if SVC or BHC will consume bioactive micro-particles. Two discrete trials were performed to: 1) evaluate if SVC and BHC consume the candidate micro-particle formulation; 2) determine what size they consume; 3) establish methods to evaluate consumption of filter-feeders for future experiments. Both SVC and BHC were exposed to small (50-100 μm) and large (150-200 μm) micro-particles in two 24-h trials. Particles in water were counted electronically and manually (microscopy). Particles on gill rakers were counted manually and intestinal tracts inspected for the presence of micro-particles. In Trial 1, both manual and electronic count data confirmed reductions of both size particles; SVC appeared to remove more small particles than large; more BHC consumed particles; SVC had fewer overall particles in their gill rakers than BHC. In Trial 2, electronic counts confirmed reductions of both size particles; both SVC and BHC consumed particles, yet more SVC consumed micro-particles compared to BHC. Of the fish that ate micro-particles, SVC consumed more than BHC. It is recommended to use multiple metrics to assess consumption of candidate micro-particles by filter-feeders when attempting to distinguish differential particle consumption. This study has implications for developing micro-particles for species-specific delivery of bioactive controls to help fisheries, provides some methods for further experiments with bioactive micro-particles, and may also have applications in aquaculture.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Aquaculture Research & Development","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"OMICS Publishing Group","doi":"10.4172/2155-9546.1000126","usgsCitation":"Jensen, N.R., Amberg, J., Luoma, J.A., Walleser, L.R., and Gaikowski, M.P., 2012, Assessing consumption of bioactive micro-particles by filter-feeding Asian carp: Journal of Aquaculture Research & Development, v. 3, no. 2, 6 p., https://doi.org/10.4172/2155-9546.1000126.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-035603","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":488255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.4172/2155-9546.1000126","text":"Publisher Index Page"},{"id":289413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289399,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4172/2155-9546.1000126"},{"id":289400,"type":{"id":15,"text":"Index Page"},"url":"https://omicsonline.org/assessing-consumption-of-bioactive-micro-particles-by-filter-feeding-asian-carp-2155-9546.1000126.php?aid=5288"}],"volume":"3","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b64e4b014fc094d5459","contributors":{"authors":[{"text":"Jensen, Nathan R. njensen@usgs.gov","contributorId":3911,"corporation":false,"usgs":true,"family":"Jensen","given":"Nathan","email":"njensen@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walleser, Liza R. lwalleser@usgs.gov","contributorId":4329,"corporation":false,"usgs":true,"family":"Walleser","given":"Liza","email":"lwalleser@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":796,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark","email":"mgaikowski@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495614,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046815,"text":"70046815 - 2012 - Design and development of linked data from the National Map","interactions":[],"lastModifiedDate":"2013-07-09T09:23:53","indexId":"70046815","displayToPublicDate":"2013-01-01T09:05:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3375,"text":"Semantic Web","active":true,"publicationSubtype":{"id":10}},"title":"Design and development of linked data from the National Map","docAbstract":"The development of linked data on the World-Wide Web provides the opportunity for the U.S. Geological Survey (USGS) to supply its extensive volumes of geospatial data, information, and knowledge in a machine interpretable form and reach users and applications that heretofore have been unavailable. To pilot a process to take advantage of this opportunity, the USGS is developing an ontology for The National Map and converting selected data from nine research test areas to a Semantic Web format to support machine processing and linked data access. In a case study, the USGS has developed initial methods for legacy vector and raster formatted geometry, attributes, and spatial relationships to be accessed in a linked data environment maintaining the capability to generate graphic or image output from semantic queries. The description of an initial USGS approach to developing ontology, linked data, and initial query capability from The National Map databases is presented.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Semantic Web","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IOS Press","doi":"10.3233/SW-2011-0054","usgsCitation":"Usery, E.L., and Varanka, D.E., 2012, Design and development of linked data from the National Map: Semantic Web, v. 3, no. 4, p. 371-384, https://doi.org/10.3233/SW-2011-0054.","productDescription":"14 p.","startPage":"371","endPage":"384","ipdsId":"IP-032582","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":274731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274729,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3233/SW-2011-0054"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","volume":"3","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd30e8e4b0f72b44719c68","contributors":{"authors":[{"text":"Usery, E. Lynn 0000-0002-2766-2173 usery@usgs.gov","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":231,"corporation":false,"usgs":true,"family":"Usery","given":"E.","email":"usery@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":480356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":480357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046678,"text":"70046678 - 2012 - ShakeMap Atlas 2.0: an improved suite of recent historical earthquake ShakeMaps for global hazard analyses and loss model calibration","interactions":[],"lastModifiedDate":"2013-06-24T13:54:08","indexId":"70046678","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"ShakeMap Atlas 2.0: an improved suite of recent historical earthquake ShakeMaps for global hazard analyses and loss model calibration","docAbstract":"We introduce the second version of the U.S. Geological Survey ShakeMap Atlas, which is an openly-available compilation of nearly 8,000 ShakeMaps of the most significant global earthquakes between 1973 and 2011. This revision of the Atlas includes: (1) a new version of the ShakeMap software that improves data usage and uncertainty estimations; (2) an updated earthquake source catalogue that includes regional locations and finite fault models; (3) a refined strategy to select prediction and conversion equations based on a new seismotectonic regionalization scheme; and (4) vastly more macroseismic intensity and ground-motion data from regional agencies All these changes make the new Atlas a self-consistent, calibrated ShakeMap catalogue that constitutes an invaluable resource for investigating near-source strong ground-motion, as well as for seismic hazard, scenario, risk, and loss-model development. To this end, the Atlas will provide a hazard base layer for PAGER loss calibration and for the Earthquake Consequences Database within the Global Earthquake Model initiative.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The 15th World Conference on Earthquake Engineering: September 24-28, 2012, Lisbon, Portugal","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IEM","usgsCitation":"Garcia, D., Mah, R., Johnson, K.L., Hearne, M., Marano, K.D., Lin, K., and Wald, D., 2012, ShakeMap Atlas 2.0: an improved suite of recent historical earthquake ShakeMaps for global hazard analyses and loss model calibration, in The 15th World Conference on Earthquake Engineering: September 24-28, 2012, Lisbon, Portugal, 10 p.","productDescription":"10 p.","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274116,"type":{"id":11,"text":"Document"},"url":"https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_2518.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c96a6ae4b0a50a6e8f5839","contributors":{"authors":[{"text":"Garcia, D.","contributorId":56936,"corporation":false,"usgs":true,"family":"Garcia","given":"D.","email":"","affiliations":[],"preferred":false,"id":479988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mah, R.T.","contributorId":81774,"corporation":false,"usgs":true,"family":"Mah","given":"R.T.","email":"","affiliations":[],"preferred":false,"id":479991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, K. L.","contributorId":75543,"corporation":false,"usgs":true,"family":"Johnson","given":"K.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, M.G.","contributorId":7538,"corporation":false,"usgs":true,"family":"Hearne","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":479986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marano, K. D.","contributorId":92390,"corporation":false,"usgs":false,"family":"Marano","given":"K.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":479992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lin, K.-W.","contributorId":64775,"corporation":false,"usgs":true,"family":"Lin","given":"K.-W.","email":"","affiliations":[],"preferred":false,"id":479989,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":479987,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70003946,"text":"70003946 - 2012 - Factors influencing geographic patterns in diversity of forest bird communities of eastern Connecticut, USA","interactions":[],"lastModifiedDate":"2024-06-18T14:10:32.473227","indexId":"70003946","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing geographic patterns in diversity of forest bird communities of eastern Connecticut, USA","docAbstract":"At regional scales, the most important variables associated with diversity are latitudinally-based temperature and net primary productivity, although diversity is also influenced by habitat. We examined bird species richness, community density and community evenness in forests of eastern Connecticut to determine whether: 1) spatial and seasonal patterns exist in diversity, 2) energy explains the greatest proportion of variation in diversity parameters, 3) variation in habitat explains remaining diversity variance, and 4) seasonal shifts in diversity provide clues about how environmental variables shape communities. We sought to discover if our data supported predictions of the species–energy hypothesis. We used the variable circular plot technique to estimate bird populations and quantified the location, elevation, forest type, vegetation type, canopy cover, moisture regime, understory density and primary production for the study sites. We found that 1) summer richness and population densities are roughly equal in northeastern and southeastern Connecticut, whereas in winter both concentrate toward the coast, 2) variables linked with temperature explained much of the patterns in winter diversity, but energy-related variables showed little relationship to summer diversity, 3) the effect of habitat variables on diversity parameters predominated in summer, although their effect was weak, 4) contrary to theory, evenness increased from summer to winter, and 5) support for predictions of species–energy theory was primarily restricted to winter data. Although energy and habitat played a role in explaining community patterns, they left much of the variance in regional diversity unexplained, suggesting that a large stochastic component to diversity also may exist.","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0587.2012.07790.x","usgsCitation":"Craig, R., and Klaver, R.W., 2012, Factors influencing geographic patterns in diversity of forest bird communities of eastern Connecticut, USA: Ecography, v. 36, no. 5, p. 599-609, https://doi.org/10.1111/j.1600-0587.2012.07790.x.","productDescription":"11 p.","startPage":"599","endPage":"609","ipdsId":"IP-021424","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474272,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/213","text":"Publisher Index Page"},{"id":274137,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.73,40.99 ], [ -73.73,42.05 ], [ -71.79,42.05 ], [ -71.79,40.99 ], [ -73.73,40.99 ] ] ] } } ] }","volume":"36","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cabbe0e4b0d298e5434c34","contributors":{"authors":[{"text":"Craig, Robert J.","contributorId":79781,"corporation":false,"usgs":true,"family":"Craig","given":"Robert J.","affiliations":[],"preferred":false,"id":349660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":349659,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003789,"text":"70003789 - 2012 - An evaluation of a mitigation strategy for deer-vehicle collisions","interactions":[],"lastModifiedDate":"2013-06-07T11:21:57","indexId":"70003789","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of a mitigation strategy for deer-vehicle collisions","docAbstract":"High mule deer Odocoileus hemionus mortality in southwestern Utah led to the establishment of a mitigation strategy with two major objectives: 1) reduction of wildlife-vehicle collisions and 2) restoration of landscape connectivity to facilitate wildlife movement across the roaded landscape. During our study, we assessed the effectiveness of the mitigation measures in reducing mule deer mortality in the following ways: 1) we compared the number of deer-vehicle collisions in the newly fenced area with a control area without fencing; 2) we analyzed the ‘end-of-the-fence’ problem, defined here as increased mortality of mule deer at the ends of the 2.4-m high exclusion fences; and 3) we evaluated the frequency of animal crossings of the new underpasses using remotely-sensed cameras and compared them with crossing frequency rates for a 20-year-old control underpass. We compared six years of pre-construction mortality (during 1998-2003) with two years of post-construction data on mortality (during 2005-2006) and found a 98.5% decline in deer mortalities in the treatment (i.e. fenced, jump-outs and underpasses) vs a 2.9% decline in the control (i.e. no fences, no jump-outs and no underpasses). We detected no end-of-the-fence problems related to deer mortality. Migratory movements during fall and spring were clearly reflected in the use of underpass. Overall results demonstrated that the mitigation strategy was effective and reduced the number of deer-vehicle accidents, while allowing wildlife movement across the landscape.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/11-122","usgsCitation":"Bissonette, J.A., and Rosa, S., 2012, An evaluation of a mitigation strategy for deer-vehicle collisions: Wildlife Biology, v. 18, no. 4, p. 414-423, https://doi.org/10.2981/11-122.","productDescription":"10 p.","startPage":"414","endPage":"423","ipdsId":"IP-023476","costCenters":[{"id":609,"text":"Utah Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273444,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2981/11-122"}],"volume":"18","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e2e4b01368e589e3c6","contributors":{"authors":[{"text":"Bissonette, John A.","contributorId":15503,"corporation":false,"usgs":true,"family":"Bissonette","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosa, Silvia","contributorId":10706,"corporation":false,"usgs":true,"family":"Rosa","given":"Silvia","email":"","affiliations":[],"preferred":false,"id":348846,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003596,"text":"70003596 - 2012 - Estimating and predicting collection probability of fish at dams using multistate modeling","interactions":[],"lastModifiedDate":"2013-06-10T08:56:00","indexId":"70003596","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Estimating and predicting collection probability of fish at dams using multistate modeling","docAbstract":"Dams can be equipped with a bypass that routes a portion of the fish that enter the turbine intakes away\nfrom the powerhouse into flumes, where they can be counted. Daily passage abundance can be estimated by dividing\nthe number of fish counted in the bypass by the sampling rate and then dividing the resulting quotient by\nthe collection probability (i.e., the proportion of the fish population passing the dam that is bypassed). We used\nmultistate mark–recapture modeling to evaluate six candidate models for predicting the collection probabilities of\nradio-tagged subyearling fall Chinook salmon (n = 3,852) as a function of 1–2-d time periods (general model), four\ndifferent combinations of outflow (i.e., the total volume of water passing the dam) and turbine allocation (i.e., the\nproportion of outflow directed through the turbines), and a null (intercept only) model. The best-fit model was\nthe additive combination of turbine allocation and outflow, which explained 71% of the null deviance. Cross validation\nof the best-fit model accounted for the variation that may arise from different data sets and the ensuing\nparameter values on the collection probability estimates and yielded a standard error of 0.613 that can be used to\nconstruct approximate 95% prediction intervals in nonstudy years. Such estimates have been unavailable and will\nbe useful anywhere estimates of daily passage abundance at dams with bypasses are needed to manage migratory\nfishes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.694828","usgsCitation":"Plumb, J.M., Connor, W.P., Tiffan, K.F., Moffitt, C.M., Perry, R.W., and Adams, N.S., 2012, Estimating and predicting collection probability of fish at dams using multistate modeling: Transactions of the American Fisheries Society, v. 141, no. 5, p. 1364-1373, https://doi.org/10.1080/00028487.2012.694828.","productDescription":"10 p.","startPage":"1364","endPage":"1373","ipdsId":"IP-028831","costCenters":[{"id":342,"text":"Idaho Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273463,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.694828"}],"volume":"141","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-08-16","publicationStatus":"PW","scienceBaseUri":"51b6f566e4b0097a7158e5aa","contributors":{"authors":[{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID 83544","active":true,"usgs":false}],"preferred":false,"id":347882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":347877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347880,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70162264,"text":"70162264 - 2012 - Using stable isotopes to test for trophic niche partitioning: a case study with stream salamanders and fish","interactions":[],"lastModifiedDate":"2016-01-20T13:27:54","indexId":"70162264","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Using stable isotopes to test for trophic niche partitioning: a case study with stream salamanders and fish","docAbstract":"1. Stream salamanders and fish often co-occur even though fish prey on and outcompete salamanders. However, the mechanisms that allow palatable salamanders to coexist with fish are unknown.
\n2. We tested mechanisms in the field that promote coexistence between Idaho giant salamanders (Dicamptodon aterrimus) and stream salmonid fishes in headwater streams. Previous research in this system indicated that salamander dispersal did not promote coexistence with fish. We tested the hypothesis that D. aterrimus shift their diet when they occur with fish, facilitating coexistence through local niche partitioning.
\n3. We used nitrogen and carbon stable isotopes to describe the trophic niche of D. aterrimus and fish in three co-occurring populations of salamanders and fish and three populations of salamanders without fish. We used two approaches to quantify trophic niche partitioning with stable isotopes: 95% kernel density estimators and isotopic mixing models.
\n4. We found that salamanders and fish were generalists that consumed aquatic invertebrates primarily, but both species were also cannibalistic and predatory on one another. We also found no support for trophic niche partitioning as a coexistence mechanism because there were no differences in the trophic niche metrics among salamander populations with and without fish.
\n5. Although we did not identify mechanisms that facilitate salamander and fish coexistence, our empirical data and use of novel approaches to describe the trophic niche did yield important insights on the role of predator–prey interactions and cannibalism as alternative coexistence mechanisms. In addition, we found that 95% kernel estimators are a simple and robust method to describe population-level measure of trophic structure.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2012.02800.x","usgsCitation":"Sepulveda, A.J., Lowe, W., and Marra, P., 2012, Using stable isotopes to test for trophic niche partitioning: a case study with stream salamanders and fish: Freshwater Biology, v. 57, no. 7, p. 1399-1409, https://doi.org/10.1111/j.1365-2427.2012.02800.x.","productDescription":"11 p.","startPage":"1399","endPage":"1409","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034902","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":314534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-21","publicationStatus":"PW","scienceBaseUri":"56a0bddae4b0961cf280dc34","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Winsor H.","contributorId":64532,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor H.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":589025,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Marra, Peter P.","contributorId":108030,"corporation":false,"usgs":true,"family":"Marra","given":"Peter P.","affiliations":[],"preferred":false,"id":589024,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70173626,"text":"70173626 - 2012 - High-frequency remote monitoring of large lakes with MODIS 500 m imagery","interactions":[],"lastModifiedDate":"2016-06-09T15:03:06","indexId":"70173626","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"High-frequency remote monitoring of large lakes with MODIS 500 m imagery","docAbstract":"Satellite-based remote monitoring programs of regional lake water quality largely have relied on Landsat Thematic Mapper (TM) owing to its long image archive, moderate spatial resolution (30 m), and wide sensitivity in the visible portion of the electromagnetic spectrum, despite some notable limitations such as temporal resolution (i.e., 16 days), data pre-processing requirements to improve data quality, and aging satellites. Moderate-Resolution Imaging Spectroradiometer (MODIS) sensors on Aqua/Terra platforms compensate for these shortcomings, although at the expense of spatial resolution. We developed and evaluated a remote monitoring protocol for water clarity of large lakes using MODIS 500 m data and compared MODIS utility to Landsat-based methods. MODIS images captured during May–September 2001, 2004 and 2010 were analyzed with linear regression to identify the relationship between lake water clarity and satellite-measured surface reflectance. Correlations were strong (R² = 0.72–0.94) throughout the study period; however, they were the most consistent in August, reflecting seasonally unstable lake conditions and inter-annual differences in algal productivity during the other months. The utility of MODIS data in remote water quality estimation lies in intra-annual monitoring of lake water clarity in inaccessible, large lakes, whereas Landsat is more appropriate for inter-annual, regional trend analyses of lakes ≥ 8 ha. Model accuracy is improved when ancillary variables are included to reflect seasonal lake dynamics and weather patterns that influence lake clarity. The identification of landscape-scale drivers of regional water quality is a useful way to supplement satellite-based remote monitoring programs relying on spectral data alone.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2012.05.018","usgsCitation":"McCullough, I.M., Loftin, C., and Sader, S., 2012, High-frequency remote monitoring of large lakes with MODIS 500 m imagery: Remote Sensing of Environment, v. 124, p. 234-241, https://doi.org/10.1016/j.rse.2012.05.018.","productDescription":"8 p.","startPage":"234","endPage":"241","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034387","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9332e4b04f417c275151","contributors":{"authors":[{"text":"McCullough, Ian M.","contributorId":149952,"corporation":false,"usgs":false,"family":"McCullough","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":637417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sader, Steven A.","contributorId":112282,"corporation":false,"usgs":true,"family":"Sader","given":"Steven A.","affiliations":[],"preferred":false,"id":637419,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173429,"text":"70173429 - 2012 - Occupancy rates of primary burrowing crayfish in natural and disturbed large river bottomlands","interactions":[],"lastModifiedDate":"2016-06-20T15:38:56","indexId":"70173429","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2235,"text":"Journal of Crustacean Biology","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy rates of primary burrowing crayfish in natural and disturbed large river bottomlands","docAbstract":"Among crayfish, primary burrowing species are the least understood ecologically. Many primary burrowing crayfish inhabit floodplains where forested landscapes have been fragmented by agricultural, industrial, or residential uses. In this study, site occupancy rates (ψ) were modeled for two primary burrowing crayfish, Fallicambarus fodiens (Cottle, 1863) and Cambarus thomai Jezerinac, 1993, from Ohio and Kanawha river floodplains in West Virginia, U.S.A. Fallicambarus fodiens is one of West Virginia’s rarest crayfish, while C. thomai is prevalent in most wetlands along both river floodplains. Occupancy rate modeling incorporated four environmental covariates (forest age, soil type, tree frequency, and land use). Based on presence/absence data, forests with tree ages >100 years (ΔQAICc = 0) and sites with loam soils (ΔQAICc = 1.80) were most likely to harbor F. fodiens populations. For C. thomai, several models were supported owing to model selection uncertainty, but those with the land use covariate had more total model weight (total w i = 0 . 54 ) than all other covariate models. Cambarus thomai rarely occupied industrial/agricultural sites, but were often present in forested and residential sites. Although the influence of covariates on site occupancy differed between species, both taxa readily utilized mature forested habitats when available. Conservation actions for F. fodiens and C. thomai should focus on preserving forested tracts along large river floodplains
","language":"English","publisher":"Brill","doi":"10.1163/193724012X637339","usgsCitation":"Loughman, Z.J., Welsh, S., and Simon, T.P., 2012, Occupancy rates of primary burrowing crayfish in natural and disturbed large river bottomlands: Journal of Crustacean Biology, v. 32, no. 4, p. 557-564, https://doi.org/10.1163/193724012X637339.","productDescription":"8 p.","startPage":"557","endPage":"564","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034613","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1163/193724012x637339","text":"Publisher Index Page"},{"id":324039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913e2e4b07657d19ff1ff","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":76157,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":637120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simon, Thomas P.","contributorId":77081,"corporation":false,"usgs":true,"family":"Simon","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":637119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173581,"text":"70173581 - 2012 - Strategies to control a common carp population by pulsed commercial harvest","interactions":[],"lastModifiedDate":"2016-06-13T14:52:26","indexId":"70173581","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Strategies to control a common carp population by pulsed commercial harvest","docAbstract":"Commercial fisheries are commonly used to manage nuisance fishes in freshwater systems, but such efforts are often unsuccessful. Strategies for successfully controlling a nuisance population of common carp Cyprinus carpio by pulsed commercial harvest were evaluated with a combination of (1) field sampling, (2) population estimation and CPUE indexing, and (3) simulation using an exponential semidiscrete biomass dynamics model (SDBDM). The range of annual fishing mortalities (F) that resulted in successful control (F = 0.244–0.265) was narrow. Common carp biomass dynamics were sensitive to unintentional underharvest due to high rates of surplus production and a biomass doubling time of 2.7 years. Simulations indicated that biomanipulation never achieved successful control unless supplemental fishing mortality was imposed. Harvest of a majority of annual production was required to achieve successful control, as indicated by the ecotrophic coefficient (EC). Readily available biomass data and tools such as SDBDMs and ECs can be used in an adaptive management framework to successfully control common carp and other nuisance fishes by pulsed commercial fishing.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2012.728175","usgsCitation":"Colvin, M., Pierce, C., Stewart, T.W., and Grummer, S.E., 2012, Strategies to control a common carp population by pulsed commercial harvest: North American Journal of Fisheries Management, v. 32, no. 6, p. 1251-1264, https://doi.org/10.1080/02755947.2012.728175.","productDescription":"14 p.","startPage":"1251","endPage":"1264","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035097","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":490010,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/66","text":"External Repository"},{"id":323510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-26","publicationStatus":"PW","scienceBaseUri":"575fd931e4b04f417c2baa8c","contributors":{"authors":[{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":171431,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":637368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Timothy W.","contributorId":171433,"corporation":false,"usgs":false,"family":"Stewart","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":637370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grummer, Scott E.","contributorId":171432,"corporation":false,"usgs":false,"family":"Grummer","given":"Scott","email":"","middleInitial":"E.","affiliations":[{"id":26914,"text":"Iowa Department of Natural Resources, Clear Lake, Iowa","active":true,"usgs":false}],"preferred":false,"id":637369,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}