{"pageNumber":"1437","pageRowStart":"35900","pageSize":"25","recordCount":184722,"records":[{"id":70045222,"text":"ofr20121205 - 2013 - Coal fields of the conterminous United States—National Coal Resource Assessment updated version","interactions":[],"lastModifiedDate":"2021-12-16T17:29:20.544054","indexId":"ofr20121205","displayToPublicDate":"2021-12-16T12:32:00","publicationYear":"2013","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":"2012-1205","displayTitle":"Coal fields of the conterminous United States—National Coal Resource Assessment updated version","title":"Coal fields of the conterminous United States—National Coal Resource Assessment updated version","docAbstract":"This map sheet with accompanying Geographic Information System (GIS) project is an update of the existing U.S. Geological Survey (USGS) Conterminous U.S. Coal Fields map. This update was compiled using data primarily from the USGS National Coal Resource Assessment (NCRA) and information from other published maps. The five regions examined by NCRA (Eastern, Gulf Coast, Interior, Rocky Mountain, and Northern Great Plains) constituted 93 percent of U.S. coal production at the time of the assessments. The map sheet shows aerial extent, rank, province, name (region and field), and age information, which are also attributes of the GIS project. Due to changing technological and economic constraints for coal usage, along with the potential for geologic carbon dioxide sequestration, this map sheet and the GIS component of this report do not differentiate between potentially minable coal and uneconomic coal. Additional figures on the map sheet show coal formations, current production by State, coal rank definitions, and charts showing historical trends of coal production.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121205","usgsCitation":"East, J.A., 2013, Coal fields of the conterminous United States—National Coal Resource Assessment updated version: U.S. Geological Survey Open-File Report 2012-1205, Map: 1 Sheet: 60 x 39 inches; Downloads Directory, https://doi.org/10.3133/ofr20121205.","productDescription":"Map: 1 Sheet: 60 x 39 inches; Downloads Directory","costCenters":[],"links":[{"id":270522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121205.png"},{"id":391168,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2012/1205/Coal_Fields_Simplified.pdf","text":"Simplified presentation format map","size":"26.4 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Coal Fields of the Conterminous United States—National Coal Resource Assessment Updated Version in Simplified Presentation Format (2021)"},{"id":270520,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1205/pdf/Coal_Fields_Map.pdf","text":"Report","size":"44.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2012-1205"},{"id":270519,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1205/index.html"},{"id":270521,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1205/Downloads"},{"id":391169,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2012/1205/simplified-presentation-format.docx","text":"Simplified presentation format explanation","size":"12.5 KB"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -130.0,22.0 ], [ -130.0,53.0 ], [ -62.0,53.0 ], [ -62.0,22.0 ], [ -130.0,22.0 ] ] ] } } ] }","publicComments":"Scale: 1:5,000,000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515befd8e4b075500ee5c9fa","contributors":{"authors":[{"text":"East, Joseph A. 0000-0003-4226-9174 jeast@usgs.gov","orcid":"https://orcid.org/0000-0003-4226-9174","contributorId":2747,"corporation":false,"usgs":true,"family":"East","given":"Joseph","email":"jeast@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477063,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043821,"text":"sir20125282 - 2013 - Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York","interactions":[],"lastModifiedDate":"2021-11-17T01:53:35.677134","indexId":"sir20125282","displayToPublicDate":"2021-11-16T08:55:00","publicationYear":"2013","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":"2012-5282","displayTitle":"Hydrogeology of the Susquehanna River Valley-Fill Aquifer System and Adjacent Areas in Eastern Broome and Southeastern Chenango Counties, New York","title":"Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York","docAbstract":"The hydrogeology of the valley-fill aquifer system along a 32-mile reach of the Susquehanna River valley and adjacent areas was evaluated in eastern Broome and southeastern Chenango Counties, New York. The surficial geology, inferred ice-marginal positions, and distribution of stratified-drift aquifers were mapped from existing data. Ice-marginal positions, which represent pauses in the retreat of glacial ice from the region, favored the accumulation of coarse-grained deposits whereas more steady or rapid ice retreat between these positions favored deposition of fine-grained lacustrine deposits with limited coarse-grained deposits at depth. Unconfined aquifers with thick saturated coarse-grained deposits are the most favorable settings for water-resource development, and three several-mile-long sections of valley were identified (mostly in Broome County) as potentially favorable: (1) the southernmost valley section, which extends from the New York–Pennsylvania border to about 1 mile north of South Windsor, (2) the valley section that rounds the west side of the umlaufberg (an isolated bedrock hill within a valley) north of Windsor, and (3) the east–west valley section at the Broome County–Chenango County border from Nineveh to East of Bettsburg (including the lower reach of the Cornell Brook valley). Fine-grained lacustrine deposits form extensive confining units between the unconfined areas, and the water-resource potential of confined aquifers is largely untested. Recharge, or replenishment, of these aquifers is dependent not only on infiltration of precipitation directly on unconfined aquifers, but perhaps more so from precipitation that falls in adjacent upland areas. Surface runoff and shallow groundwater from the valley walls flow downslope and recharge valley aquifers. Tributary streams that drain upland areas lose flow as they enter main valleys on permeable alluvial fans. This infiltrating water also recharges valley aquifers. Current (2012) use of water resources in the area is primarily through domestic wells, most of which are completed in fractured bedrock in upland areas. A few villages in the Susquehanna River valley have supply wells that draw water from beneath alluvial fans and near the Susquehanna River, which is a large potential source of water from induced infiltration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125282","collaboration":"Prepared in cooperation with New York State Department of Environmental Conservation","usgsCitation":"Heisig, P.M., 2013, Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York: U.S. Geological Survey Scientific Investigations Report 2012–5282, 21 p., at https://pubs.usgs.gov/sir/2012/5282.","productDescription":"vii, 21 p.; 1 Appendix; Map: 1 Sheet: 30.50 x 38.00 inches","startPage":"i","endPage":"21","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":267842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5282.gif"},{"id":267840,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5282/appendix1/Appendix%201.xlsx"},{"id":267839,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5282/"},{"id":267841,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5282/plate.html"}],"scale":"24000","country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.76,40.48 ], [ -79.76,45.02 ], [ -71.85,45.02 ], [ -71.85,40.48 ], [ -79.76,40.48 ] ] ] } } ] }","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2013-02-20","noUsgsAuthors":false,"publicationDate":"2013-02-20","publicationStatus":"PW","scienceBaseUri":"5125f087e4b09d00759cd058","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474273,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048771,"text":"ds69FF - 2013 - Supporting data for the U.S. Geological Survey 2012 world assessment of undiscovered oil and gas resources","interactions":[],"lastModifiedDate":"2020-03-27T09:50:57","indexId":"ds69FF","displayToPublicDate":"2020-03-27T11:00:00","publicationYear":"2013","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":"69","chapter":"FF","displayTitle":"Supporting Data for the U.S. Geological Survey 2012 World Assessment of Undiscovered Oil and Gas Resources","title":"Supporting data for the U.S. Geological Survey 2012 world assessment of undiscovered oil and gas resources","docAbstract":"This report provides information pertaining to the 2012 U.S. Geological Survey assessment of undiscovered, technically recoverable conventional oil and gas resources of the world, exclusive of the United States. Some of the results were previously published, mostly in USGS fact sheet series.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69FF","usgsCitation":"U.S. Geological Survey World Conventional Resources Assessment Team, 2013, Supporting data for the U.S. Geological Survey 2012 world assessment of undiscovered oil and gas resources: U.S. Geological Survey Digital Data Series DDS–69–FF, various pages, https://doi.org/10.3133/ds69FF.","productDescription":"Readme; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":278671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/dds69FF.jpg"},{"id":371099,"rank":6,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/tabtables.zip","text":"Tab tables","size":"901 KB","linkFileType":{"id":6,"text":"zip"}},{"id":371098,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/GIS.zip","text":"GIS","size":"3.08MB","linkFileType":{"id":6,"text":"zip"}},{"id":278668,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/ReadMe.txt","text":"Read Me","size":"94.7 KB","linkFileType":{"id":2,"text":"txt"}},{"id":371100,"rank":7,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/montecarlo.zip","text":"Monte Carlo Outputs","linkFileType":{"id":6,"text":"zip"}},{"id":371096,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/geodatabase.zip","text":"Geo database","size":"102 MB","linkFileType":{"id":6,"text":"zip"}},{"id":371097,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/exceltables.zip","text":"Excel tables","size":"3.43 MB","linkFileType":{"id":6,"text":"zip"}}],"contact":"<p><a href=\"https://www.usgs.gov/energy-and-minerals/energy-resources-program/\" data-mce-href=\"https://www.usgs.gov/energy-and-minerals/energy-resources-program/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver Federal Center<br>Denver, CO 80225-0046<br></p>","publishedDate":"2013-11-01","noUsgsAuthors":false,"publicationDate":"2013-11-01","publicationStatus":"PW","scienceBaseUri":"5278c215e4b0c04ac3417aa1","contributors":{"authors":[{"text":"World Conventional Resources Assessment Team, USGS","contributorId":17127,"corporation":false,"usgs":true,"family":"World Conventional Resources Assessment Team","given":"USGS","email":"","affiliations":[],"preferred":false,"id":485602,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045244,"text":"ofr20121247 - 2013 - The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon","interactions":[],"lastModifiedDate":"2020-01-13T06:18:45","indexId":"ofr20121247","displayToPublicDate":"2020-01-10T14:00:00","publicationYear":"2013","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":"2012-1247","displayTitle":"The Shoreline Management Tool—An ArcMap Tool for Analyzing Water Depth, Inundated Area, Volume, and Selected Habitats, with an Example for the Lower Wood River Valley, Oregon","title":"The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon","docAbstract":"<p>The Shoreline Management Tool is a geographic information system (GIS) based program developed to assist water- and land-resource managers in assessing the benefits and effects of changes in surface-water stage on water depth, inundated area, and water volume. Additionally, the Shoreline Management Tool can be used to identify aquatic or terrestrial habitat areas where conditions may be suitable for specific plants or animals as defined by user-specified criteria including water depth, land-surface slope, and land-surface aspect. The tool can also be used to delineate areas for use in determining a variety of hydrologic budget components such as surface-water storage, precipitation, runoff, or evapotranspiration.</p><p>The Shoreline Management Tool consists of two parts, a graphical user interface for use with Esri™ ArcMap™ GIS software to interact with the user to define scenarios and map results, and a spreadsheet in Microsoft® Excel® developed to display tables and graphs of the results. The graphical user interface allows the user to define a scenario consisting of an inundation level (stage), land areas (parcels), and habitats (areas meeting user-specified conditions) based on water depth, slope, and aspect criteria. The tool uses data consisting of land-surface elevation, tables of stage/volume and stage/area, and delineated parcel boundaries to produce maps (data layers) of inundated areas and areas that meet the habitat criteria. The tool can be run in a Single-Time Scenario mode or in a Time-Series Scenario mode, which uses an input file of dates and associated stages. The spreadsheet part of the tool uses a macro to process the results from the graphical user interface to create tables and graphs of inundated water volume, inundated area, dry area, and mean water depth for each land parcel based on the user-specified stage. The macro also creates tables and graphs of the area, perimeter, and number of polygons comprising the user-specified habitat areas within each parcel.</p><p>The Shoreline Management Tool is highly transferable, using easily generated or readily available data. The capabilities of the tool are demonstrated using data from the lower Wood River Valley adjacent to Upper Klamath and Agency Lakes in southern Oregon.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121247","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Snyder, D.T., Haluska, T.L., and Respini-Irwin, D., 2013, The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon: U.S. Geological Survey Open-File Report 2012–1247, 86 p. (Also available at https://pubs.usgs.gov/of/2012/1247/.)","productDescription":"Report: viii, 86 p.; 2 Videos: 3 minutes; Companion File","numberOfPages":"98","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":270535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121247.jpg","text":"Report"},{"id":371153,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1247/videos.zip","text":"Videos","size":"45.4 MB","linkFileType":{"id":6,"text":"zip"}},{"id":270531,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1247/ofr20121247.pdf","text":"Report","size":"9.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2012-1247"},{"id":371154,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1247/faq.pdf","text":"Shoreline Management Tool—Frequently Asked Questions","size":"105 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":371166,"rank":5,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_OFR2012-1247_v20130410.zip","text":"Generic version","size":"39 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Intended for use in any area. Required input data must be prepared by the users as described in the report. Example Python scripts are provided to assist with the data preparation. Includes all ancillary files except those specific to the lower Wood River Valley example."},{"id":371167,"rank":6,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_NAVD88_OFR2012-1247_v20130410.zip","text":"Example version for the Lower Wood River Valley, Oregon - NAVD88","size":"1.9 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Contains all required data for use in the lower Wood River Valley of southern Oregon. Ready to run. Utilizes the North American Vertical Datum of 1988 (NAVD88) for elevation reference. Useful for training purposes or examination of input datasets and output results. Includes all ancillary files."},{"id":371168,"rank":7,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_NGVD29_OFR2012-1247_v20130410.zip","text":"Example version for the Lower Wood River Valley, Oregon - NGVD29/UKLVD","size":"2.0 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Contains all required data for use in the lower Wood River Valley of southern Oregon. Ready to run. Utilizes the National Geodetic Vertical Datum of 1929 (NGVD29) for elevation reference. Also contains data for use with the Upper Klamath Lake Vertical Datum (UKLVD). Useful for training purposes or examination of input datasets and output results. Includes all ancillary files."}],"country":"United States","state":"Oregon","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,42.0 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,42.0 ], [ -124.61,42.0 ] ] ] } } ] }","contact":"<p><a href=\"https://www.usgs.gov/centers/or-water\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201<br><br><a href=\"http://or.water.usgs.gov/proj/shoreline/maillist.html\" data-mce-href=\"http://or.water.usgs.gov/proj/shoreline/maillist.html\">Mailing List</a><br>Request to be notified of updates or<br>receive useful information about the<br>Shoreline Management Tool</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>The Shoreline Management Tool</li><li>An Example for the Lower Wood River Valley, Oregon</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix A. Shoreline Management Tool User’s Guide</li><li>Appendix B. Preparation of Input Data for use with the Shoreline Management Tool</li><li>Appendix C. Data Files for the Lower Wood River Valley for Use with the Shoreline Management Tool</li><li>Appendix D. Example Python Programming Language Scripts to Automate Data Preparation for the Shoreline Management Tool</li></ul>","publishedDate":"2013-04-03","revisedDate":"2013-04-26","noUsgsAuthors":false,"publicationDate":"2013-04-03","publicationStatus":"PW","scienceBaseUri":"515d4162e4b0803bd2eec4ff","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":477119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haluska, Tana 0000-0001-6307-4769 thaluska@usgs.gov","orcid":"https://orcid.org/0000-0001-6307-4769","contributorId":1708,"corporation":false,"usgs":true,"family":"Haluska","given":"Tana","email":"thaluska@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Respini-Irwin, Darius","contributorId":51177,"corporation":false,"usgs":true,"family":"Respini-Irwin","given":"Darius","email":"","affiliations":[],"preferred":false,"id":477121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046421,"text":"sir20135076 - 2013 - A one-dimensional diffusion analogy model for estimation of tide heights in selected tidal marshes in Connecticut","interactions":[],"lastModifiedDate":"2019-12-30T08:43:11","indexId":"sir20135076","displayToPublicDate":"2019-12-30T09:20:00","publicationYear":"2013","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":"2013-5076","displayTitle":"A One-Dimensional Diffusion Analogy Model for Estimation of Tide Heights in Selected Tidal Marshes in Connecticut","title":"A one-dimensional diffusion analogy model for estimation of tide heights in selected tidal marshes in Connecticut","docAbstract":"<p>A one-dimensional diffusion analogy model for estimating tide heights in coastal marshes was developed and calibrated by using data from previous tidal-marsh studies. The method is simpler to use than other one- and two-dimensional hydrodynamic models because it does not require marsh depth and tidal prism information; however, the one-dimensional diffusion analogy model cannot be used to estimate tide heights, flow velocities, and tide arrival times for tide conditions other than the highest tide for which it is calibrated. Limited validation of the method indicates that it has an accuracy within 0.3 feet. The method can be applied with limited calibration information that is based entirely on remote sensing or geographic information system data layers. The method can be used to estimate high-tide heights in tidal wetlands drained by tide gates where tide levels cannot be observed directly by opening the gates without risk of flooding properties and structures. A geographic information system application of the method is demonstrated for Sybil Creek marsh in Branford, Connecticut. The tidal flux into this marsh is controlled by two tide gates that prevent full tidal inundation of the marsh. The method application shows reasonable tide heights for the gates-closed condition (the normal condition) and the one-gate-open condition on the basis of comparison with observed heights. The condition with all tide gates open (two gates) was simulated with the model; results indicate where several structures would be flooded if the gates were removed as part of restoration efforts or if the tide gates were to fail.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135076","collaboration":"Prepared in cooperation with the Connecticut Department of Energy and Environmental Protection","usgsCitation":"Bjerklie, D.M., O’Brien, Kevin, and Rozsa, Ron, 2013, A one-dimensional diffusion analogy model for estimation of tide heights in selected tidal marshes in Connecticut (ver. 1.1, December 2019): U.S. Geological Survey Scientific Investigations Report 2013–5076, 17 p., https://doi.org/10.3133/sir20135076.","productDescription":"iv, 17 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":273622,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5076/index.html"},{"id":370389,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2013/5076/versionhist.txt","size":"485 B","linkFileType":{"id":2,"text":"txt"}},{"id":273623,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5076/sir20135076.pdf","text":"Report","size":"3.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2013-5076"},{"id":273624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2013/5076/coverthb2.jpg"}],"country":"United States","state":"Connecticut","otherGeospatial":"Leetes Island, Pine Creek, Sybil Creek, Wilson Cove Marshes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5,41 ], [ -73.5,41.6 ], [ -72.3,41.6 ], [ -72.3,41 ], [ -73.5,41 ] ] ] } } ] }","edition":"Version 1.1: December 30, 2019; Version 1.0 June 11, 2013","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Modeling Method and Calibration</li><li>Method Validation and Application for Sybil Creek</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2013-06-11","revisedDate":"2019-12-30","noUsgsAuthors":false,"publicationDate":"2013-06-11","publicationStatus":"PW","scienceBaseUri":"51b838d7e4b03203c522b17e","contributors":{"authors":[{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Brien, Kevin","contributorId":22662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":479645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rozsa, Ron","contributorId":15918,"corporation":false,"usgs":true,"family":"Rozsa","given":"Ron","email":"","affiliations":[],"preferred":false,"id":479644,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047202,"text":"ds749 - 2013 - Data entry module and manuals for the Land Treatment Digital Library","interactions":[{"subject":{"id":70047202,"text":"ds749 - 2013 - Data entry module and manuals for the Land Treatment Digital Library","indexId":"ds749","publicationYear":"2013","noYear":false,"displayTitle":"Data Entry Module and Manuals for the Land Treatment Digital Library","title":"Data entry module and manuals for the Land Treatment Digital Library"},"predicate":"SUPERSEDED_BY","object":{"id":70057792,"text":"ds806 - 2013 - Land Treatment Digital Library","indexId":"ds806","publicationYear":"2013","noYear":false,"title":"Land Treatment Digital Library"},"id":1}],"supersededBy":{"id":70057792,"text":"ds806 - 2013 - Land Treatment Digital Library","indexId":"ds806","publicationYear":"2013","noYear":false,"title":"Land Treatment Digital Library"},"lastModifiedDate":"2025-09-26T17:31:32.088853","indexId":"ds749","displayToPublicDate":"2019-10-03T08:55:00","publicationYear":"2013","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":"749","displayTitle":"Data Entry Module and Manuals for the Land Treatment Digital Library","title":"Data entry module and manuals for the Land Treatment Digital Library","docAbstract":"<p>Across the country, public land managers make decisions each year that influence landscapes and ecosystems within their jurisdictions. Many of these decisions involve vegetation manipulations, which often are referred to as land treatments. These treatments include removal or alteration of plant biomass, seeding of burned areas, application of herbicides, and other activities. Data documenting these land treatments usually are stored at local management offices in various formats. Therefore, anyone interested in the types and effects of land treatments across multiple jurisdictions must first assemble the information, which can be difficult if data discovery and organization involve multiple local offices. A centralized system for storing and accessing the data helps inform land managers when making policy and management considerations and assists scientists in developing sampling designs and studies.</p><p>The Land Treatment Digital Library (LTDL) was created by the U.S. Geological Survey (USGS) as a comprehensive database incorporating tabular data, documentation, photographs, and spatial data about land treatments in a single system. It was developed over a period of several years and refined based on feedback from partner agencies and stakeholders. Currently, Bureau of Land Management (BLM) land treatment data are being entered by USGS personnel as part of a memorandum of understanding between the USGS and BLM. The LTDL has a website maintained by the USGS Forest and Rangeland Ecosystem Science Center where LTDL data can be viewed <a data-mce-href=\"https://www.usgs.gov/apps/ltdl\" href=\"https://www.usgs.gov/apps/ltdl\">https://www.usgs.gov/apps/ltdl</a>.</p><p>The resources and information provided in this data series allow other agencies, organizations, and individuals to download an empty, stand-alone LTDL database to individual or networked computers. Data entered in these databases may be submitted to the USGS for possible inclusion in the online LTDL.</p><p>Multiple computer programs are used to accomplish the objective of the LTDL. The support of an information-technology specialist or professionals familiar with Microsoft Access™, ESRI’s ArcGIS™, Python, Adobe Acrobat Professional™, and computer settings is essential when installing and operating the LTDL. After the program is operational, a critical element for successful data entry is an understanding of the difference between database tables and forms, and how to edit data in both formats. Complete instructions accompany the program, and they should be followed carefully to ensure the setup and operation of the database goes smoothly.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds749","usgsCitation":"Welty, J.L., and Pilliod, D.S., 2013, Data entry module and manuals for the Land Treatment Digital Library: U.S. Geological Survey Data Series 749, https://pubs.usgs.gov/ds/749.","productDescription":"Pamphlet: 56 p.; 5 Companion Files; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":275362,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/749/data/ds749_LTDL%20User%20Guides%20for%20ArcGIS%2010.0.zip","size":"5.55 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Land Treatment Digital Library User Guides for ArcGIS 10.0"},{"id":275363,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/749/data/ds749_LTDL%20User%27s%20Manual%20and%20Installation%20Instructions%20Arc10.1.pdf","size":"4.29 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Land Treatment Digital Library User Guides for ArcGIS 10.1"},{"id":275364,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/749/data/ds749_LTDL%20User%20Guides%20for%20ArcGIS%2010.1.zip","size":"5.55 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Land Treatment Digital Library User Guides for ArcGIS 10.1"},{"id":275360,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/749/data/ds749_LTDL%20User%27s%20Manual%20and%20Installation%20Instructions%20Arc10.0.pdf","size":"4.19 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Land Treatment Digital Library User Guides for ArcGIS 10.0"},{"id":275366,"rank":8,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/749/data/ds749_LTDL_metadata.zip","size":"30.1 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Land Treatment Digital Library Metadata"},{"id":275361,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/749/data/ds749_LTDL_Data_10.0.zip","size":"913 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Land Treatment Digital Library Data 10.0"},{"id":275365,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/749/data/ds749_LTDL_Data_10.1.zip","size":"942 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Land Treatment Digital Library Data 10.1"},{"id":275367,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds749.png"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/fresc/\" data-mce-href=\"https://www.usgs.gov/centers/fresc/\">Forest and Rangeland Ecosystem Science Center (FRESC)</a><br>U.S. Geological Survey<br>777 NW 9th Street<br>Corvallis, Oregon 97330</p>","publishedDate":"2013-07-24","noUsgsAuthors":false,"publicationDate":"2013-07-24","publicationStatus":"PW","scienceBaseUri":"51f253e9e4b0279fe2e1bfd1","contributors":{"authors":[{"text":"Welty, Justin L.","contributorId":80558,"corporation":false,"usgs":true,"family":"Welty","given":"Justin L.","affiliations":[],"preferred":false,"id":481344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S.","contributorId":101760,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[],"preferred":false,"id":481345,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70057792,"text":"ds806 - 2013 - Land Treatment Digital Library","interactions":[{"subject":{"id":70047202,"text":"ds749 - 2013 - Data entry module and manuals for the Land Treatment Digital Library","indexId":"ds749","publicationYear":"2013","noYear":false,"displayTitle":"Data Entry Module and Manuals for the Land Treatment Digital Library","title":"Data entry module and manuals for the Land Treatment Digital Library"},"predicate":"SUPERSEDED_BY","object":{"id":70057792,"text":"ds806 - 2013 - Land Treatment Digital Library","indexId":"ds806","publicationYear":"2013","noYear":false,"title":"Land Treatment Digital Library"},"id":1}],"lastModifiedDate":"2025-09-26T17:34:57.397898","indexId":"ds806","displayToPublicDate":"2019-10-02T11:35:00","publicationYear":"2013","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":"806","title":"Land Treatment Digital Library","docAbstract":"<p>The Land Treatment Digital Library (LTDL) was created by the U.S. Geological Survey to catalog legacy land treatment information on Bureau of Land Management lands in the western United States. The LTDL can be used by federal managers and scientists for compiling information for data-calls, producing maps, generating reports, and conducting analyses at varying spatial and temporal scales. The LTDL currently houses thousands of treatments from BLM lands across 10 states. Users can browse a map to find information on individual treatments, perform more complex queries to identify a set of treatments, and view graphs of treatment summary statistics.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds806","usgsCitation":"Pilliod, D., and Welty, J., 2013, Land Treatment Digital Library: U.S. Geological Survey Data Series 806, HTML site, https://doi.org/10.3133/ds806.","productDescription":"HTML site","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052268","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":438777,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98OBOLS","text":"USGS data release","linkHelpText":"USGS Land Treatment Digital Library Data Release: A centralized archive for land treatment tabular and spatial data (ver. 7.0, September 2024)"},{"id":279964,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://www.usgs.gov/apps/ltdl"},{"id":279965,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds806.jpg"},{"id":279963,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/806/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529dac18e4b0516126f66b57","contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":161,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":486876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welty, Justin L.","contributorId":80558,"corporation":false,"usgs":true,"family":"Welty","given":"Justin L.","affiliations":[],"preferred":false,"id":486877,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045400,"text":"cir1383F - 2013 - U.S. Geological Survey natural hazards science strategy— Promoting the safety, security, and economic well-being of the Nation","interactions":[],"lastModifiedDate":"2019-10-01T13:12:07","indexId":"cir1383F","displayToPublicDate":"2019-10-01T14:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1383","chapter":"F","displayTitle":"U.S. Geological Survey Natural Hazards Science Strategy—Promoting the Safety, Security, and Economic Well-Being of the Nation","title":"U.S. Geological Survey natural hazards science strategy— Promoting the safety, security, and economic well-being of the Nation","docAbstract":"<h1>Executive Summary</h1><p>The mission of the U.S. Geological Survey (USGS) in natural hazards is to develop and apply hazard science to help protect the safety, security, and economic well-being of the Nation. The costs and consequences of natural hazards can be enormous, and each year more people and infrastructure are at risk. USGS scientific research—founded on detailed observations and improved understanding of the responsible physical processes—can help to understand and reduce natural hazard risks and to make and effectively communicate reliable statements about hazard characteristics, such as frequency, magnitude, extent, onset, consequences, and where possible, the time of future events.</p><p>To accomplish its broad hazard mission, the USGS maintains an expert workforce of scientists and technicians in the earth sciences, hydrology, biology, geography, social and behavioral sciences, and other fields, and engages cooperatively with numerous agencies, research institutions, and organizations in the public and private sectors, across the Nation and around the world. The scientific expertise required to accomplish the USGS mission in natural hazards includes a wide range of disciplines that this report refers to, in aggregate, as hazard science.</p><p>In October 2010, the Natural Hazards Science Strategy Planning Team (H–SSPT) was charged with developing a long-term (10-year) Science Strategy for the USGS mission in natural hazards. This report fulfills that charge, with a document hereinafter referred to as the Strategy, to provide scientific observations, analyses, and research that are critical for the Nation to become more resilient to natural hazards. Science provides the information that decisionmakers need to determine whether risk management activities are worthwhile. Moreover, as the agency with the perspective of geologic time, the USGS is uniquely positioned to extend the collective experience of society to prepare for events outside current memory. The USGS has critical statutory and nonstatutory roles regarding floods, earthquakes, tsunamis, landslides, coastal erosion, volcanic eruptions, wildfires, and magnetic storms—the hazards considered in this plan. There are numerous other hazards of societal importance that are considered either only peripherally or not at all in this Strategy because they are either in another of the USGS strategic science plans (such as drought) or not in the overall mission of the USGS (such as tornados).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1383F","usgsCitation":"Holmes, R.R., Jr., Jones, L.M., Eidenshink, J.C., Godt, J.W., Kirby, S.H., Love, J.J., Neal, C.A., Plant, N.G., Plunkett, M.L., Weaver, C.S., Wein, Anne, and Perry, S.C., 2013, U.S. Geological Survey natural hazards science strategy— Promoting the safety, security, and economic well-being of the Nation: U.S. Geological Survey Circular 1383–F, 79 p.","productDescription":"x, 79 p.","numberOfPages":"96","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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States\"}}]}","contact":"<p><a href=\"https://www.usgs.gov/mission-areas/natural-hazards\" data-mce-href=\"https://www.usgs.gov/mission-areas/natural-hazards\">Natural Hazards</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Foreword</li><li>Executive Summary</li><li>Introduction</li><li>Goal 1: Enhanced Observations</li><li>Goal 2: Fundamental Understanding of Hazards and Impacts</li><li>Goal 3: Improved Assessment Products and Services</li><li>Goal 4: Effective Situational Awareness</li><li>A Vision of the Future</li><li>Opportunities and Challenges</li><li>Planning and Interconnections Across the USGS Mission Areas</li><li>Selected References</li><li>Definitions</li><li>Appendix 1. Hazard Science in the USGS</li><li>Appendix 2. The Domestic Value of USGS International Efforts in Hazard Science</li><li>Appendix 3. Hazards Science Strategy Planning Team: Composition, Charge, Philosophy, and Process</li><li>Appendix 4. Listening Sessions</li><li>Appendix 5. Disaster Relief Act of 1974</li></ul>","publishedDate":"2013-04-15","noUsgsAuthors":false,"publicationDate":"2013-04-15","publicationStatus":"PW","scienceBaseUri":"516d135ee4b0411d430a89bd","contributors":{"authors":[{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":477384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Lucile M. jones@usgs.gov","contributorId":1014,"corporation":false,"usgs":true,"family":"Jones","given":"Lucile","email":"jones@usgs.gov","middleInitial":"M.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":477381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eidenshink, Jeffery C. eidenshink@usgs.gov","contributorId":1352,"corporation":false,"usgs":true,"family":"Eidenshink","given":"Jeffery","email":"eidenshink@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":477383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":477382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, Stephen H. 0000-0003-1636-4688 skirby@usgs.gov","orcid":"https://orcid.org/0000-0003-1636-4688","contributorId":2752,"corporation":false,"usgs":true,"family":"Kirby","given":"Stephen","email":"skirby@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":477387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":477380,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neal, Christina A. 0000-0002-7697-7825","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":82660,"corporation":false,"usgs":true,"family":"Neal","given":"Christina A.","affiliations":[],"preferred":false,"id":477390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":477388,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plunkett, Michael L. plunkett@usgs.gov","contributorId":2378,"corporation":false,"usgs":true,"family":"Plunkett","given":"Michael","email":"plunkett@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":477385,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weaver, Craig S. craig@usgs.gov","contributorId":2690,"corporation":false,"usgs":true,"family":"Weaver","given":"Craig","email":"craig@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":477386,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477379,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Perry, Suzanne C. 0000-0002-6370-4326 scperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-4326","contributorId":5227,"corporation":false,"usgs":true,"family":"Perry","given":"Suzanne","email":"scperry@usgs.gov","middleInitial":"C.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":477389,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70045405,"text":"cir1383E - 2013 - U.S. Geological Survey environmental health science strategy — Providing environmental health science for a changing world","interactions":[],"lastModifiedDate":"2022-04-06T15:43:03.302875","indexId":"cir1383E","displayToPublicDate":"2019-10-01T14:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1383","chapter":"E","displayTitle":"U.S. Geological Survey Environmental Health Science Strategy— Providing Environmental Health Science for a Changing World","title":"U.S. Geological Survey environmental health science strategy — Providing environmental health science for a changing world","docAbstract":"<h1>Executive Summary</h1><p>America has an abundance of natural resources. We have bountiful clean water, fertile soil, and unrivaled national parks, wildlife refuges, and public lands. These resources enrich our lives and preserve our health and wellbeing. These resources have been maintained because of our history of respect for their value and an enduring commitment to their vigilant protection. Awareness of the social, economic, and personal value of the health of our environment is increasing. The emergence of environmentally driven diseases caused by exposure to contaminants and pathogens is a growing concern worldwide. New health threats and patterns of established threats are affected by both natural and anthropogenic changes to the environment. Human activities are key drivers of emerging (new and re-emerging) health threats. Societal demands for land and natural resources, quality of life, and economic prosperity lead to environmental change. Natural earth processes, climate trends, and related climatic events will compound the environmental impact of human activities. These environmental drivers will influence exposure to disease agents, including viral, bacterial, prion, and fungal pathogens, parasites, synthetic chemicals and substances, natural earth materials, toxins, and other biogenic compounds.</p><p>The U.S. Geological Survey (USGS) defines environmental health science broadly as the interdisciplinary study of relations among the quality of the physical environment, the health of the living environment, and human health. The interactions among these three spheres are driven by human activities, ecological processes, and natural earth processes; the interactions affect exposure to contaminants and pathogens and the severity of environmentally driven diseases in animals and people. This definition provides USGS with a framework for synthesizing natural science information from across the Bureau and providing it to environmental, natural resource, agricultural, and public health managers.</p><p>USGS specializes in science at the environment-health interface, by characterizing the processes that affect the interaction among the physical environment, the living environment, and people, and the resulting factors that affect ecological and human exposure to disease agents. The USGS is a Federal science agency with a broad range of natural science expertise relevant to environmental health. USGS provides scientific information and tools as a scientific basis for management and policy decisionmaking.</p><p>This report describes a 10-year strategy that encompasses the portfolio of USGS environmental health science. It summarizes national environmental health priorities that USGS is best suited to address, and will serve as a strategic framework for USGS environmental health science goals, actions, and outcomes for the next decade. Implementation of this strategy is intended to aid coordination of USGS environmental health activities and to provide a focal point for disseminating information to stakeholders.</p><p>The “One Health” paradigm advocated by the World Health Organization (WHO; World Health Organization, 2011), and the American Veterinary Medical Association (AVMA; American Veterinary Medical Association, 2008), among others, is based on a general recognition that the health of humans, animals, and the environment are inextricably linked. Thus, successful efforts to protect that health will require increased interdisciplinary research and increased communication and collaboration among the broader scientific and health community. This strategy is built upon that paradigm.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1383E","usgsCitation":"Bright, P.R., Buxton, H.T., Balistrieri, L.S., Barber, L.B., Chapelle, F.H., Cross, P.C., Krabbenhoft, D.P., Plumlee, G.S., Sleeman, J.M., Tillitt, D.E., Toccalino, P.L., and Winton, J.R., 2013, U.S. Geological Survey environmental health science strategy—Providing environmental health science for a changing world: U.S. Geological Survey Circular 1383–E, 43 p.","productDescription":"viii, 43 p.","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":264,"text":"Environmental Health","active":false,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":270902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1383e.gif"},{"id":270900,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1383e/circ1383-E.pdf","text":"Report","size":"12.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1383-E"}],"contact":"<p><a href=\"https://www.usgs.gov/mission-areas/environmental-health\" data-mce-href=\"https://www.usgs.gov/mission-areas/environmental-health\">Environmental Health</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Foreword</li><li>Executive Summary</li><li>Introduction</li><li>USGS Environmental Health Science Vision, Mission, and Goals</li><li>A Strategy for Communicating Science to Society</li><li>Integrating Science Across USGS</li><li>Summary of Intended Outcomes</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2013-04-15","noUsgsAuthors":false,"publicationDate":"2013-04-15","publicationStatus":"PW","scienceBaseUri":"516d135ee4b0411d430a89b9","contributors":{"authors":[{"text":"Bright, Patricia R. 0000-0002-9067-453X pbright@usgs.gov","orcid":"https://orcid.org/0000-0002-9067-453X","contributorId":3968,"corporation":false,"usgs":true,"family":"Bright","given":"Patricia","email":"pbright@usgs.gov","middleInitial":"R.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":477437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buxton, Herbert T. hbuxton@usgs.gov","contributorId":1911,"corporation":false,"usgs":true,"family":"Buxton","given":"Herbert","email":"hbuxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":477434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":477431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - 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,{"id":70045406,"text":"cir1383G - 2013 - U.S. Geological Survey water science strategy—Observing, understanding, predicting, and delivering water science to the Nation","interactions":[],"lastModifiedDate":"2019-10-02T16:52:15","indexId":"cir1383G","displayToPublicDate":"2019-10-01T12:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1383","chapter":"G","displayTitle":"U.S. Geological Survey Water Science Strategy— Observing, Understanding, Predicting, and Delivering Water Science to the Nation","title":"U.S. Geological Survey water science strategy—Observing, understanding, predicting, and delivering water science to the Nation","docAbstract":"<h1>Executive Summary</h1><p>This report expands the Water Science Strategy that began with the USGS Science Strategy, “Facing Tomorrow’s Challenges—U.S. Geological Survey Science in the Decade 2007–2017” (U.S. Geological Survey, 2007). This report looks at the relevant issues facing society and develops a strategy built around observing, understanding, predicting, and delivering water science for the next 5 to 10 years by building new capabilities, tools, and delivery systems to meet the Nation’s water-resource needs. This report begins by presenting the vision of water science for the USGS and the societal issues that are influenced by, and in turn influence, the water resources of our Nation. The essence of the Water Science Strategy is built on the concept of “water availability,” defined as spatial and temporal distribution of water quantity and quality, as related to human and ecosystem needs, as affected by human and natural influences. The report also describes the core capabilities of the USGS in water science—the strengths, partnerships, and science integrity that the USGS has built over its 134-year history.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1383G","usgsCitation":"Evenson, E.J., Orndorff, R.C., Blome, C.D., Böhlke, J.K., Hershberger, P.K., Langenheim, V.E., McCabe, G.J., Morlock, S.E., Reeves, H.W., Verdin, J.P., Weyers, H.S., and Wood, T.M., 2013, U.S. Geological Survey water science strategy—Observing, understanding, predicting, and delivering water science to the Nation: U.S. Geological Survey Circular 1383–G, 49 p.","productDescription":"x, 49 p.","numberOfPages":"63","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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,{"id":70045404,"text":"cir1383D - 2013 - U.S. Geological Survey Energy and Minerals science strategy: A resource lifecycle approach","interactions":[],"lastModifiedDate":"2019-10-03T07:44:51","indexId":"cir1383D","displayToPublicDate":"2019-10-01T12:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1383","chapter":"D","displayTitle":"U.S. Geological Survey Energy and Minerals Science Strategy—A Resource Lifecycle Approach","title":"U.S. Geological Survey Energy and Minerals science strategy: A resource lifecycle approach","docAbstract":"<h1>Executive Summary</h1><p>The economy, national security, and standard of living of the United States depend heavily on adequate and reliable supplies of energy and mineral resources. Based on population and consumption trends, the Nation’s use of energy and minerals can be expected to grow, driving the demand for ever broader scientific understanding of resource formation, location, and availability. In addition, the increasing importance of environmental stewardship, human health, and sustainable growth places further emphasis on energy and mineral resources research and understanding. Collectively, these trends in resource demand and the interconnectedness among resources will lead to new challenges and, in turn, require cutting-edge science for the next generation of societal decisions.</p><p>The long and continuing history of U.S. Geological Survey contributions to energy and mineral resources science provide a solid foundation of core capabilities upon which new research directions can grow. This science strategy provides a framework for the coming decade that capitalizes on the growth of core capabilities and leverages their application toward new or emerging challenges in energy and mineral resources research, as reflected in five interrelated goals.</p><ul><li>Goal 1.—Understand fundamental Earth processes that form energy and mineral resources</li><li>Goal 2.—Understand the environmental behavior of energy and mineral resources and their waste products</li><li>Goal 3.—Provide inventories and assessments of energy and mineral resources</li><li>Goal 4.—Understand the effects of energy and mineral development on natural resources and society</li><li>Goal 5.—Understand the reliability and availability of energy and mineral supplies</li></ul><p>Within each goal, multiple actions are identified. The level of specificity and complexity of these actions varies, consistent with the reality that even a modest refocus can yield large payoffs in the near term whereas more ambitious plans may take years to reach fruition. As such, implementation of these actions is largely dependent on available resources and the sequencing of prerequisite steps. This science strategy places an emphasis on interdisciplinary collaboration and leveraging of expertise across the U.S. Geological Survey and with external partners.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1383D","usgsCitation":"Ferrero, R.C., Kolak, J.J., Bills, D.J., Bowen, Z.H., Cordier, D.J., Gallegos, T.J., Hein, J.R., Kelley, K.D., Nelson, P.H., Nuccio, V.F., Schmidt, J.M., and Seal, R.R., 2013, U.S. Geological Survey energy and minerals science strategy— A resource lifecycle approach: U.S. Geological Survey Circular 1383–D, 37 p.","productDescription":"ix, 37 p.","numberOfPages":"52","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":260,"text":"Energy and Minerals","active":false,"usgs":true}],"links":[{"id":270894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1383d.gif"},{"id":270893,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1383d/circ1383-D.pdf","text":"Report","size":"12.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1383-D"}],"contact":"<p><a href=\"https://www.usgs.gov/energy-and-minerals/energy-resources-program\" data-mce-href=\"https://www.usgs.gov/energy-and-minerals/energy-resources-program\">Energy and Minerals</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Foreword</li><li>Mission and Vision</li><li>Executive Summary</li><li>Introduction</li><li>Core Strengths</li><li>Mandates and Authorizations</li><li>Goals for Energy and Mineral Resources Science</li><li>Energy and Minerals Linkages Within the U.S. Geological Survey</li><li>References Cited</li></ul>","publishedDate":"2013-04-15","noUsgsAuthors":false,"publicationDate":"2013-04-15","publicationStatus":"PW","scienceBaseUri":"516d135ce4b0411d430a89a9","contributors":{"authors":[{"text":"Ferrero, Richard C. rferrero@usgs.gov","contributorId":473,"corporation":false,"usgs":true,"family":"Ferrero","given":"Richard","email":"rferrero@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":477416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolak, Jonathan J.","contributorId":59100,"corporation":false,"usgs":true,"family":"Kolak","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bills, Donald J. djbills@usgs.gov","contributorId":4180,"corporation":false,"usgs":true,"family":"Bills","given":"Donald J.","email":"djbills@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":477423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":477417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cordier, Daniel J.","contributorId":14678,"corporation":false,"usgs":true,"family":"Cordier","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":477420,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":2828,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":477421,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kelley, Karen D. 0000-0002-3232-5809","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":57817,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen D.","affiliations":[],"preferred":false,"id":477425,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477419,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nuccio, Vito F. vnuccio@usgs.gov","contributorId":853,"corporation":false,"usgs":true,"family":"Nuccio","given":"Vito","email":"vnuccio@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":477418,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schmidt, Jeanine M. jschmidt@usgs.gov","contributorId":3138,"corporation":false,"usgs":true,"family":"Schmidt","given":"Jeanine","email":"jschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":477422,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":477415,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70045402,"text":"cir1383C - 2013 - U.S. Geological Survey ecosystems science strategy—Advancing discovery and application through collaboration","interactions":[],"lastModifiedDate":"2019-10-01T10:41:55","indexId":"cir1383C","displayToPublicDate":"2019-10-01T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1383","chapter":"C","displayTitle":"U.S. Geological Survey Ecosystems Science Strategy— Advancing Discovery and Application through Collaboration","title":"U.S. Geological Survey ecosystems science strategy—Advancing discovery and application through collaboration","docAbstract":"<h1>Executive Summary</h1><p>Ecosystem science is critical to making informed decisions about natural resources that can sustain our Nation’s economic and environmental well-being. Resource managers and policymakers are faced with countless decisions each year at local, regional, and national levels on issues as diverse as renewable and nonrenewable energy development, agriculture, forestry, water supply, and resource allocations at the urban-rural interface. The urgency for sound decisionmaking is increasing dramatically as the world is being transformed at an unprecedented pace and in uncertain directions. Environmental changes are associated with natural hazards, greenhouse gas emissions, and increasing demands for water, land, food, energy, mineral, and living resources. At risk is the Nation’s environmental capital, the goods and services provided by resilient ecosystems that are vital to the health and wellbeing of human societies. Ecosystem science—the study of systems of organisms interacting with their environment and the consequences of natural and human-induced change on these systems—is necessary to inform decisionmakers as they develop policies to adapt to these changes.</p><p>This Ecosystems Science Strategy is built on a framework that includes basic and applied science. It highlights the critical roles that U.S. Geological Survey (USGS) scientists and partners can play in building scientific understanding and providing timely information to decisionmakers. The strategy underscores the connection between scientific discoveries and the application of new knowledge, and it integrates ecosystem science and decisionmaking, producing new scientific outcomes to assist resource managers and providing public benefits. We envision the USGS as a leader in integrating scientific information into decisionmaking processes that affect the Nation’s natural resources and human well-being.</p><p>The USGS is uniquely positioned to play a pivotal role in ecosystem science. With its wide range of expertise, the Bureau can bring holistic, cross-scale, interdisciplinary capabilities to the design and conduct of monitoring, research, and modeling and to new technologies for data collection, management, and visualization. Collectively, these capabilities can be used to reveal ecological patterns and processes, explain how and why ecosystems change, and forecast change over different spatial and temporal scales. USGS science can provide managers with options and decision-support tools to use resources sustainably. The USGS has long-standing, collaborative relationships with the Department of the Interior (DOI) and other partners in the natural sciences, in both conducting science and applying the results. The USGS engages these partners in cooperative investigations that otherwise would lack the necessary support or be too expensive for a single bureau to conduct.</p><p>The heart of this strategy is a framework for USGS ecosystems science that focuses on five long-term goals, which are seen as interconnected components that reinforce our vision of the USGS providing science that is at the forefront of decisionmaking:</p><ul><li>Improve understanding of ecosystem structure, function, and processes. The focus for this goal is an understanding of how ecosystems work, including the dynamics of species, their populations, interactions, and genetics, and how they change across spatial and temporal scales.</li><li>Advance understanding of how drivers influence ecosystem change. The challenges here are explaining the drivers of ecosystem change, their spatio-temporal patterns, their uncertainties and interactions, and their influence on ecosystem processes and dynamics.</li><li>Improve understanding of the services that ecosystems provide to society. Here the emphasis is on the measurement of environmental capital and ecosystem services, and the identification of sources and patterns of change in space and time.</li><li>Develop tools, technologies, and capacities to inform decisionmaking about ecosystems. This includes developing new technologies and approaches for conducting applications-oriented ecosystem science. A principal challenge will be how to quantify uncertainty and incorporate it in decision analysis.</li><li>Apply science to enhance strategies for management, conservation, and restoration of ecosystems. These challenges include development of novel approaches to monitoring, assessment, and restoration of ecosystems; new methods to address species of concern and communities at risk; and innovations in decision analysis and support to address imminent ecosystem changes or those that are underway.</li></ul><p>Closely integrated with the five goals are four strategic approaches that provide the path forward for the USGS Ecosystems Mission Area. These approaches cross-cut all of the goals and are seen as essential to the implementation of this strategy:</p><ul><li>Assess information needs for ecosystem science through enhanced partnerships. Work with the DOI and other agencies and institutions to identify, design, and implement priority decision-driven ecological research.</li><li>Promote the use of interdisciplinary ecosystem science. Design and conduct interdisciplinary process-oriented research in ecosystem science.</li><li>Enhance modeling and forecasting. Build models to forecast ecosystem change, assess future management scenarios, and reduce uncertainties through an adaptive learning process.</li><li>Support decisionmaking. Use quantitative approaches to assess the vulnerabilities of ecosystems, habitats, and species, and evaluate strategies for adaptation, restoration, and sustainable management.</li></ul><p>Following the four strategic approaches are a set of proposed actions that represent a sampling of specific USGS activities that align with this strategy and that address the Nation’s most pressing environmental needs.</p><p>The strategy emphasizes coordination of activities across the USGS mission areas pursuant to these goals. Ecosystem science is inherently interdisciplinary and requires a broad perspective that incorporates the biological and physical sciences, climate science, information technology, and scientific capacity in mission areas across the Bureau. With its emphasis on coordination, this strategy can provide a critical underpinning for integrated science efforts with scientists from multiple mission areas of the USGS working together. Of course, the USGS will continue to conduct discipline-specific and interdisciplinary investigations, and both will continue to be vital parts of the ecosystem science portfolio.</p><p>Finally, the strategy stresses the importance of coordination with other Federal agencies and organizations in the natural resources community. The USGS collaborates with resource agencies in the DOI and other organizations throughout the world to meet societal needs for species and ecosystem management. Working with these agencies and organizations, the USGS will play a key role in guiding sound decisionmaking during the next decade by advancing the scientific foundation for sustaining the natural resources that diverse, productive, resilient ecosystems provide.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1383C","usgsCitation":"Williams, B.K., Wingard, G.L., Brewer, Gary, Cloern, J.E., Gelfenbaum, Guy, Jacobson, R.B., Kershner, J.L., McGuire, A.D., Nichols, J.D., Shapiro, C.D., van Riper III, Charles, and White, R.P., 2013, U.S. Geological Survey ecosystems science strategy—Advancing discovery and application through collaboration: U.S. Geological Survey Circular 1383–C, 43 p.","productDescription":"vii, 43 p.","numberOfPages":"56","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"links":[{"id":270889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1383c.gif"},{"id":270886,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1383c/circ1383-C.pdf","text":"Report","size":"16.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1383-C"}],"contact":"<p><a href=\"https://www.usgs.gov/mission-areas/ecosystems\" data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems\">Ecosystems</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Foreword</li><li>About this Report</li><li>Executive Summary</li><li>Introduction</li><li>Ecosystem Science Goals</li><li>Integrating Ecosystem Science across the USGS</li><li>Strategic Approaches and Outcomes: The Path Forward</li><li>Proposed Actions</li><li>Summary and Future of Ecosystem Science for the USGS</li><li>Important Next Steps</li><li>References Cited</li><li>Appendix 1. Author Affiliations and Acknowledgments</li><li>Appendix 2. Key Terms</li></ul>","publishedDate":"2013-04-15","noUsgsAuthors":false,"publicationDate":"2013-04-15","publicationStatus":"PW","scienceBaseUri":"516d135be4b0411d430a89a5","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":477402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingard, G. Lynn","contributorId":44969,"corporation":false,"usgs":true,"family":"Wingard","given":"G. Lynn","affiliations":[],"preferred":false,"id":477399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Gary","contributorId":37589,"corporation":false,"usgs":true,"family":"Brewer","given":"Gary","email":"","affiliations":[],"preferred":false,"id":477398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":477395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":477401,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":477394,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":477392,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGuire, Anthony D. 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":2493,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"ffadm@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":477396,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":477393,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shapiro, Carl D. 0000-0002-1598-6808 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-1598-6808","contributorId":3048,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":477397,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":477400,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"White, Robin P. rpwhite@usgs.gov","contributorId":239,"corporation":false,"usgs":true,"family":"White","given":"Robin","email":"rpwhite@usgs.gov","middleInitial":"P.","affiliations":[{"id":5053,"text":"IPDS Training","active":true,"usgs":true}],"preferred":true,"id":477391,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70045403,"text":"cir1383B - 2013 - U.S. Geological Survey core science systems strategy: characterizing, synthesizing, and understanding the critical zone through a modular science framework","interactions":[],"lastModifiedDate":"2019-10-01T10:15:34","indexId":"cir1383B","displayToPublicDate":"2019-10-01T11:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1383","chapter":"B","displayTitle":"U.S. Geological Survey Core Science Systems Strategy— Characterizing, Synthesizing, and Understanding the Critical Zone through a Modular Science Framework","title":"U.S. Geological Survey core science systems strategy: characterizing, synthesizing, and understanding the critical zone through a modular science framework","docAbstract":"<h1>Executive Summary</h1><p>Core Science Systems is a new mission of the U.S. Geological Survey (USGS) that resulted from the 2007 Science Strategy, “Facing Tomorrow’s Challenges: U.S. Geological Survey Science in the Decade 2007–2017.” This report describes the Core Science Systems vision and outlines a strategy to facilitate integrated characterization and understanding of the complex Earth system. The vision and suggested actions are bold and far-reaching, describing a conceptual model and framework to enhance the ability of the USGS to bring its core strengths to bear on pressing societal problems through data integration and scientific synthesis across the breadth of science.</p><p>The context of this report is inspired by a direction set forth in the 2007 Science Strategy. Specifically, ecosystem-based approaches provide the underpinnings for essentially all science themes that define the USGS. Every point on Earth falls within a specific ecosystem where data, other information assets, and the expertise of USGS and its many partners can be employed to quantitatively understand how that ecosystem functions and how it responds to natural and anthropogenic disturbances. Every benefit society obtains from the planet— food, water, raw materials to build infrastructure, homes and automobiles, fuel to heat homes and cities, and many others— are derived from or affect ecosystems.</p><p>The vision for Core Science Systems builds on core strengths of the USGS in characterizing and understanding complex Earth and biological systems through research, modeling, mapping, and the production of high quality data on the Nation’s natural resource infrastructure. Together, these research activities provide a foundation for ecosystem-based approaches through geologic mapping, topographic mapping, and biodiversity mapping. The vision describes a framework founded on these core mapping strengths that makes it easier for USGS scientists to discover critical information, share and publish results, and identify potential collaborations that transcend all USGS missions. The framework is designed to improve the efficiency of scientific work within USGS by establishing a means to preserve and recall data for future applications, organizing existing scientific knowledge and data to facilitate new use of older information, and establishing a future workflow that naturally integrates new data, applications, and other science products to make interdisciplinary research easier and more efficient. Given the increasing need for integrated data and interdisciplinary approaches to solve modern problems, leadership by the Core Science Systems mission will facilitate problem solving by all USGS missions in ways not formerly possible.</p><p>The report lays out a strategy to achieve this vision through three goals with accompanying objectives and actions. The first goal builds on and enhances the strengths of the Core Science Systems mission in characterizing and understanding the Earth system from the geologic framework to the topographic characteristics of the land surface and biodiversity across the Nation. The second goal enhances and develops new strengths in computer and information science to make it easier for USGS scientists to discover data and models, share and publish results, and discover connections between scientific information and knowledge. The third goal brings additional focus to research and development methods to address complex issues affecting society that require integration of knowledge and new methods for synthesizing scientific information. Collectively, the report lays out a strategy to create a seamless connection between all USGS activities to accelerate and make USGS science more efficient by fully integrating disciplinary expertise within a new and evolving science paradigm for a changing world in the 21st century.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1383B","usgsCitation":"Bristol, R.S., Euliss, N.H., Jr., Booth, N.L., Burkardt, Nina, Diffendorfer, J.E., Gesch, D.B., McCallum, B.E., Miller, D.M., Morman, S.A., Poore, B.S., Signell, R.P., and Viger, R.J., 2013, U.S. Geological Survey core science systems strategy—Characterizing, synthesizing, and understanding the critical zone through a modular science framework: U.S. Geological Survey Circular 1383–B, 33 p.","productDescription":"vi, 33 p.","numberOfPages":"44","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":270895,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1383b.gif"},{"id":270890,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1383b/circ1383-B.pdf","text":"Report","size":"16.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1383-B"}],"country":"United States","contact":"<p><a href=\"https://www.usgs.gov/mission-areas/core-science-systems\" data-mce-href=\"https://www.usgs.gov/mission-areas/core-science-systems\">Core Science Systems</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192<br></p><p><br></p>","tableOfContents":"<ul><li>Foreword</li><li>Executive Summary</li><li>Overview: Science for a Changing World—Evolving a Science Paradigm for the 21st Century</li><li>Introducing the Core Science Systems Mission</li><li>Vision for Core Science Systems</li><li>Guiding Concepts</li><li>Goals, Objectives, and Actions</li><li>Conclusion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2013-04-15","noUsgsAuthors":false,"publicationDate":"2013-04-15","publicationStatus":"PW","scienceBaseUri":"516d135ee4b0411d430a89b5","contributors":{"authors":[{"text":"Bristol, R. Sky 0000-0003-1682-4031","orcid":"https://orcid.org/0000-0003-1682-4031","contributorId":88196,"corporation":false,"usgs":true,"family":"Bristol","given":"R. Sky","affiliations":[],"preferred":false,"id":477413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Euliss, Ned H. 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,{"id":70160929,"text":"70160929 - 2013 - Preliminary isostatic gravity map of the Grouse Creek and east part of the Jackpot 30 by 60 quadrangles, Box Elder County, Utah, and Cassia County, Idaho","interactions":[],"lastModifiedDate":"2017-04-27T09:55:28","indexId":"70160929","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesNumber":"MP-13-2","title":"Preliminary isostatic gravity map of the Grouse Creek and east part of the Jackpot 30 by 60 quadrangles, Box Elder County, Utah, and Cassia County, Idaho","docAbstract":"<p><span>A new isostatic residual gravity map of the northwest corner of Utah is based on compilation of preexisting data and new data collected by the Utah and United States Geological Surveys. Pronounced gravity lows occur over Junction, Grouse Creek, and upper Raft River Valleys, indicating significant thickness of low-density Tertiary sedimentary rocks and deposits. Gravity highs coincide with exposures of dense pre-Cenozoic rocks in the Raft River Mountains. Higher values in the eastern part of the map may be produced in part by deeper crustal density variations or crustal thinning. Steep linear gravity gradients coincide with mapped Neogene normal faults near Goose Creek and may define basin-bounding faults concealed beneath Junction and Upper Raft River Valleys.</span></p>","language":"English","publisher":"Utah Geological Survey","usgsCitation":"Langenheim, V., Willis, H., Athens, N., Chuchel, B.A., Roza, J., Hiscock, H., Hardwick, C., Kraushaar, S., Knepprath, N., and Rosario, J.J., 2013, Preliminary isostatic gravity map of the Grouse Creek and east part of the Jackpot 30 by 60 quadrangles, Box Elder County, Utah, and Cassia County, Idaho, CD-ROM, Map.","productDescription":"CD-ROM, Map","ipdsId":"IP-043819","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":340251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340249,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70160930,"text":"70160930 - 2013 - Preliminary isostatic residual gravity map of the Newfoundland Mountains 30' by 60' quadrangle and east part of the Wells 30' by 60' quadrangle, Box Elder County, Utah","interactions":[],"lastModifiedDate":"2017-04-25T11:15:17","indexId":"70160930","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"MP 13-4","title":"Preliminary isostatic residual gravity map of the Newfoundland Mountains 30' by 60' quadrangle and east part of the Wells 30' by 60' quadrangle, Box Elder County, Utah","docAbstract":"<p><span>A new isostatic residual gravity map of the Newfoundland Mountains and east of the Wells 30×60 quadrangles of Utah is based on compilation of preexisting data and new data collected by the Utah and U.S. Geological Surveys. Pronounced gravity lows occur over Grouse Creek Valley and locally beneath the Great Salt Lake Desert, indicating significant thickness of low-density Tertiary sedimentary rocks and deposits. Gravity highs coincide with exposures of dense pre-Cenozoic rocks in the Newfoundland, Silver Island, and Little Pigeon Mountains. Gravity values measured on pre-Tertiary basement to the north in the Bovine and Hogup Mountains are as much as 10mGal lower. Steep, linear gravity gradients may define basin-bounding faults concealed along the margins of the Newfoundland, Silver Island, and Little Pigeon Mountains, Lemay Island and the Pilot Range.</span></p>","language":"English","publisher":"Utah Geological Survey","collaboration":"Utah Geological Survey, a division of Utah Department of Natural Resources in cooperation with U.S. Department of the Interior U.S. Geological Survey","usgsCitation":"Langenheim, V., Athens, N., Churchel, B.A., Knepprath, N., Willis, H., Rosario, J.J., Roza, J., Kraushaar, S., and Hardwick, C., 2013, Preliminary isostatic residual gravity map of the Newfoundland Mountains 30' by 60' quadrangle and east part of the Wells 30' by 60' quadrangle, Box Elder County, Utah, CD-ROM, Map.","productDescription":"CD-ROM, Map","ipdsId":"IP-044317","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science 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D.","contributorId":74271,"corporation":false,"usgs":true,"family":"Athens","given":"N. D.","affiliations":[],"preferred":false,"id":584256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Churchel, B. A.","contributorId":151076,"corporation":false,"usgs":false,"family":"Churchel","given":"B.","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":692746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willis, H.","contributorId":151077,"corporation":false,"usgs":false,"family":"Willis","given":"H.","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":692747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knepprath, N.E.","contributorId":94896,"corporation":false,"usgs":true,"family":"Knepprath","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":692748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosario, Jose J. jrosario@usgs.gov","contributorId":5638,"corporation":false,"usgs":true,"family":"Rosario","given":"Jose","email":"jrosario@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":692749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roza, J.","contributorId":191338,"corporation":false,"usgs":false,"family":"Roza","given":"J.","email":"","affiliations":[],"preferred":false,"id":692750,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kraushaar, S.M.","contributorId":151075,"corporation":false,"usgs":false,"family":"Kraushaar","given":"S.M.","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":692751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hardwick, C.L.","contributorId":191339,"corporation":false,"usgs":false,"family":"Hardwick","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":692752,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70187115,"text":"70187115 - 2013 - Validation of chlorine and oxygen isotope ratio analysis to differentiate perchlorate sources and to document perchlorate biodegradation","interactions":[],"lastModifiedDate":"2017-04-25T09:21:38","indexId":"70187115","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"ER-200509","title":"Validation of chlorine and oxygen isotope ratio analysis to differentiate perchlorate sources and to document perchlorate biodegradation","docAbstract":"Increased health concerns about perchlorate (ClO4-) during the past decade and subsequent regulatory considerations have generated appreciable interest in source identification. The key objective of the isotopic techniques described in this guidance manual is to provide evidence concerning the origin of ClO4- in soils and groundwater and, more specifically, whether that ClO4- is synthetic or natural. Chlorine and oxygen isotopic analyses of ClO4- provide the primary direct approach whereby different sources of ClO4- can be distinguished from each other. These techniques measure the relative abundances of the stable isotopes of chlorine (37Cl and 35Cl) and oxygen (18O, 17O, and 16O) in ClO4- using isotope-ratio mass spectrometry (IRMS). In addition, the relative abundance of the radioactive chlorine isotope 36Cl is measured using accelerator mass spectrometry (AMS). Taken together, these measurements provide four independent quantities that can be used to distinguish natural and synthetic ClO4- sources, to discriminate different types of natural ClO4-, and to detect ClO4- biodegradation in the environment. Other isotopic, chemical, and geochemical techniques that can be applied in conjunction with isotopic analyses of ClO4- to provide supporting data in forensic studies are also described.","language":"English","publisher":"U.S. Department of Defense","usgsCitation":"Hatzinger, P.B., Bohlke, J., Sturchio, N.C., and Gu, B., 2013, Validation of chlorine and oxygen isotope ratio analysis to differentiate perchlorate sources and to document perchlorate biodegradation, Report: xvii, 176 p.; Appendixes A-C; Supporting Information: S1-26.","productDescription":"Report: xvii, 176 p.; Appendixes A-C; Supporting Information: S1-26","ipdsId":"IP-045772","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":340221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340160,"type":{"id":15,"text":"Index 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cstarliper@usgs.gov","contributorId":1948,"corporation":false,"usgs":true,"family":"Starliper","given":"Clifford","email":"cstarliper@usgs.gov","middleInitial":"E.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":518887,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sperry, Adam","contributorId":98212,"corporation":false,"usgs":true,"family":"Sperry","given":"Adam","affiliations":[],"preferred":false,"id":518888,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179914,"text":"70179914 - 2013 - Groundwater conditions in Utah, spring of 2013","interactions":[],"lastModifiedDate":"2019-05-22T09:30:37","indexId":"70179914","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":110,"text":"Cooperative Investigations Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"54","title":"Groundwater conditions in Utah, spring of 2013","docAbstract":"<p>This is the fiftieth in a series of annual reports that describe groundwater conditions in Utah. Reports in this series, published cooperatively by the U.S. Geological Survey and the Utah Department of Natural Resources, Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality, provide data to enable interested parties to maintain awareness of changing groundwater conditions. </p><p>This report, like the others in the series, contains information on well construction, groundwater withdrawals from wells, water-level changes, precipitation, streamflow, and chemical quality of water. Information on well construction included in this report refers only to wells constructed for new appropriations of groundwater. Supplementary data are included in reports of this series only for those years or areas that are important to a discussion of changing groundwater conditions and for which applicable data are available.</p><p>This report includes individual discussions of selected significant areas of groundwater development in the State for calendar year 2012. Most of the reported data were collected by the U.S. Geological Survey in cooperation with the Utah Department of Natural Resources, Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality. This report is also available online at http://www.waterrights.utah.gov/techinfo/ and http://ut.water. usgs.gov/publications/GW2013.pdf. Groundwater conditions in Utah for calendar year 2011 are reported in Burden and others (2012) and available online at http://ut.water.usgs.gov/ publications/GW2012.pdf</p>","language":"English","publisher":"Utah Department of Natural Resources","publisherLocation":"Salt Lake City, UT","collaboration":"Prepared in cooperation with the Utah Department of Natural Resources, Division of Water Rights, and Utah Department of Environmental Quality, Division of Water Quality","usgsCitation":"Burden, C.B., Birken, A.S., Derrick, V.N., Fisher, M.J., Holt, C.M., Downhour, P., Smith, L., Eacret, R.J., Gibson, T.L., Slaugh, B.A., Whittier, N.R., Howells, J.H., and Christiansen, H.K., 2013, Groundwater conditions in Utah, spring of 2013: Cooperative Investigations Report 54, x, 118 p.","productDescription":"x, 118 p.","numberOfPages":"132","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":364060,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://waterrights.utah.gov/techinfo/wwwpub/GW2013.pdf"},{"id":333543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58833023e4b0d00231637798","contributors":{"authors":[{"text":"Burden, Carole B. cburden@usgs.gov","contributorId":852,"corporation":false,"usgs":true,"family":"Burden","given":"Carole","email":"cburden@usgs.gov","middleInitial":"B.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birken, Adam S.","contributorId":178617,"corporation":false,"usgs":false,"family":"Birken","given":"Adam","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":660129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Derrick, V. Noah","contributorId":178618,"corporation":false,"usgs":false,"family":"Derrick","given":"V.","email":"","middleInitial":"Noah","affiliations":[],"preferred":false,"id":660130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Martel J. mjfisher@usgs.gov","contributorId":4410,"corporation":false,"usgs":true,"family":"Fisher","given":"Martel","email":"mjfisher@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":660131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holt, Christopher M.","contributorId":178613,"corporation":false,"usgs":false,"family":"Holt","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":660132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Downhour, Paul downhour@usgs.gov","contributorId":968,"corporation":false,"usgs":true,"family":"Downhour","given":"Paul","email":"downhour@usgs.gov","affiliations":[],"preferred":true,"id":660133,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Lincoln","contributorId":178614,"corporation":false,"usgs":false,"family":"Smith","given":"Lincoln","affiliations":[],"preferred":false,"id":660134,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eacret, Robert J. rjeacret@usgs.gov","contributorId":971,"corporation":false,"usgs":true,"family":"Eacret","given":"Robert","email":"rjeacret@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":660135,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gibson, Travis L.","contributorId":178615,"corporation":false,"usgs":false,"family":"Gibson","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660136,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Slaugh, Bradley A. baslaugh@usgs.gov","contributorId":966,"corporation":false,"usgs":true,"family":"Slaugh","given":"Bradley","email":"baslaugh@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":660137,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Whittier, Nickolas R.","contributorId":178616,"corporation":false,"usgs":false,"family":"Whittier","given":"Nickolas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":660138,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Howells, James H. jhowells@usgs.gov","contributorId":969,"corporation":false,"usgs":true,"family":"Howells","given":"James","email":"jhowells@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":660139,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Christiansen, Howard K.","contributorId":47830,"corporation":false,"usgs":true,"family":"Christiansen","given":"Howard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":660140,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70179706,"text":"70179706 - 2013 - Mass-balance modeling of mineral weathering rates and CO2 consumption in the forested, metabasaltic Hauver Branch watershed, Catoctin Mountain, Maryland, USA","interactions":[],"lastModifiedDate":"2017-01-13T09:58:08","indexId":"70179706","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Mass-balance modeling of mineral weathering rates and CO2 consumption in the forested, metabasaltic Hauver Branch watershed, Catoctin Mountain, Maryland, USA","docAbstract":"<p>Mineral weathering rates and a forest macronutrient uptake stoichiometry were determined for the forested, metabasaltic Hauver Branch watershed in north-central Maryland, USA. Previous studies of Hauver Branch have had an insufficient number of analytes to permit determination of rates of all the minerals involved in chemical weathering, including biomass. More equations in the mass-balance matrix were added using existing mineralogic information. The stoichiometry of a deciduous biomass term was determined using multi-year weekly to biweekly stream-water chemistry for a nearby watershed, which drains relatively unreactive quartzite bedrock.</p><p>At Hauver Branch, calcite hosts ~38 mol% of the calcium ion (Ca<sup>2+</sup>) contained in weathering minerals, but its weathering provides ~90% of the stream water Ca<sup>2+</sup>. This occurs in a landscape with a regolith residence time of more than several Ka (kiloannum). Previous studies indicate that such old regolith does not typically contain dissolving calcite that affects stream Ca<sup>2+</sup>/Na<sup>+</sup> ratios. The relatively high calcite dissolution rate likely reflects dissolution of calcite in fractures of the deep critical zone.</p><p>Of the carbon dioxide (CO<sub>2</sub>) consumed by mineral weathering, calcite is responsible for approximately 27%, with the silicate weathering consumption rate far exceeding that of the global average. The chemical weathering of mafic terrains in decaying orogens thus may be capable of influencing global geochemical cycles, and therefore, climate, on geological timescales. Based on carbon-balance calculations, atmospheric-derived sulfuric acid is responsible for approximately 22% of the mineral weathering occurring in the watershed. Our results suggest that rising air temperatures, driven by global warming and resulting in higher precipitation, will cause the rate of chemical weathering in the Hauver Branch watershed to increase until a threshold temperature is reached. Beyond the threshold temperature, increased recharge would produce a shallower groundwater table and reduced chemical weathering rates.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.3373","usgsCitation":"Rice, K.C., Price, J.R., and Szymanski, D.W., 2013, Mass-balance modeling of mineral weathering rates and CO2 consumption in the forested, metabasaltic Hauver Branch watershed, Catoctin Mountain, Maryland, USA: Earth Surface Processes and Landforms, v. 38, no. 8, p. 859-875, https://doi.org/10.1002/esp.3373.","startPage":"859","endPage":"875","ipdsId":"IP-033606","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":333126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Hauver Branch Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.48554229736328,\n              39.58478849832906\n            ],\n            [\n              -77.48554229736328,\n              39.65249114993853\n            ],\n            [\n              -77.39696502685547,\n              39.65249114993853\n            ],\n            [\n              -77.39696502685547,\n              39.58478849832906\n            ],\n            [\n              -77.48554229736328,\n              39.58478849832906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-10","publicationStatus":"PW","scienceBaseUri":"5878a491e4b04df303d9581e","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":658359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Price, Jason R.","contributorId":178278,"corporation":false,"usgs":false,"family":"Price","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":658365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szymanski, David W.","contributorId":178281,"corporation":false,"usgs":false,"family":"Szymanski","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":658366,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70171358,"text":"70171358 - 2013 - Experimental evaluation of size-dependent  predation by adult post-spawned rainbow smelt (Osmerus mordax) on larval lake whitefish (Coregonus clupeaformis)","interactions":[],"lastModifiedDate":"2016-05-27T15:17:56","indexId":"70171358","displayToPublicDate":"2016-01-12T13:30:00","publicationYear":"2013","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":"Experimental evaluation of size-dependent  predation by adult post-spawned rainbow smelt (Osmerus mordax) on larval lake whitefish (Coregonus clupeaformis)","docAbstract":"<p>Introduced landlocked Rainbow Smelt <i>Osmerus mordax</i> are hypothesized to be a major factor in the decline of Lake Whitefish <i>Coregonus clupeaformis</i> populations in many lakes. We sought to identify the size of Lake Whitefish preyed upon by adult Rainbow Smelt and how the efficiency of Rainbow Smelt predation changes Lake Whitefish ontogeny. In a laboratory setting, we exposed larval Lake Whitefish of increasing sizes to groups of seven Rainbow Smelt (&gt;100&nbsp;mm) for a 1-h period and observed predation behaviors and efficiencies. In each trial, the group of Rainbow Smelt consumed at least one larval Lake Whitefish, which were up to 45&nbsp;mm in length (up to 89% of Rainbow Smelt gape width). Predation efficiency, the total number of Lake Whitefish consumed by Rainbow Smelt during trials, was 100% after Lake Whitefish hatching and followed a decreasing sigmoidal response to increasing lengths of Lake Whitefish. The apparent predatory window of Rainbow Smelt on Lake Whitefish is from Lake Whitefish size at hatch (&sim;12&nbsp;mm) to approximately 34&nbsp;mm. Rainbow Smelt generally required multiple attacks to capture a single Lake Whitefish. The capture efficiencies of Rainbow Smelt decreased from 30% as Lake Whitefish length increased and were highly variable within each Lake Whitefish size-group. The overall impact that Rainbow Smelt predation will have on Lake Whitefish populations is dependent on the growth rate of Lake Whitefish, environmental conditions that cause the Lake Whitefish hatching period to coincide with Rainbow Smelt spawning events, and the degree of overlap in habitat use between spawning Rainbow Smelt, nonspawning subadult Rainbow Smelt, and hatching Lake Whitefish.</p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2012.750632","usgsCitation":"Zydlewski, J.D., and Gorsky, D., 2013, Experimental evaluation of size-dependent  predation by adult post-spawned rainbow smelt (Osmerus mordax) on larval lake whitefish (Coregonus clupeaformis): North American Journal of Fisheries Management, v. 33, no. 1, p. 163-169, https://doi.org/10.1080/02755947.2012.750632.","productDescription":"6 p.","startPage":"163","endPage":"169","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031053","costCenters":[{"id":199,"text":"Coop Res Unit 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Center","active":true,"usgs":true}],"preferred":false,"id":630707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":630748,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173476,"text":"70173476 - 2013 - Environmental clustering of lakes to evaluate performance of a macrophyte index of biotic integrity","interactions":[],"lastModifiedDate":"2016-06-17T13:39:53","indexId":"70173476","displayToPublicDate":"2016-01-12T13:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":861,"text":"Aquatic Botany","active":true,"publicationSubtype":{"id":10}},"title":"Environmental clustering of lakes to evaluate performance of a macrophyte index of biotic integrity","docAbstract":"<p><span>Proper classification of sites is critical for the use of biological indices that can distinguish between natural and human-induced variation in biological response. The macrophyte-based index of biotic integrity was developed to assess the condition of Minnesota lakes in relation to anthropogenic stressors, but macrophyte community composition varies naturally across the state. The goal of the study was to identify environmental characteristics that naturally influence macrophyte index response and establish a preliminary lake classification scheme for biological assessment (bioassessment). Using a comprehensive set of environmental variables, we identified similar groups of lakes by clustering using flexible beta classification. Variance partitioning analysis of IBI response indicated that evaluating similar lake clusters could improve the ability of the macrophyte index to identify community change to anthropogenic stressors, although lake groups did not fully account for the natural variation in macrophyte composition. Diagnostic capabilities of the index could be improved when evaluating lakes with similar environmental characteristics, suggesting the index has potential for accurate bioassessment provided comparable groups of lakes are evaluated.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquabot.2013.02.003","usgsCitation":"Vondracek, B.C., Vondracek, B., and Hatch, L.K., 2013, Environmental clustering of lakes to evaluate performance of a macrophyte index of biotic integrity: Aquatic Botany, v. 108, p. 16-25, https://doi.org/10.1016/j.aquabot.2013.02.003.","productDescription":"9 p.","startPage":"16","endPage":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033227","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70157318,"text":"70157318 - 2013 - Cumulative biological impacts framework for solar energy projects in the California Desert","interactions":[],"lastModifiedDate":"2017-05-11T11:01:08","indexId":"70157318","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesNumber":"CEC-500-2015-062","title":"Cumulative biological impacts framework for solar energy projects in the California Desert","docAbstract":"This project developed analytical approaches, tools and geospatial data to support conservation planning for renewable energy development in the California deserts. Research focused on geographical analysis to avoid, minimize and mitigate the cumulative biological effects of utility-scale solar energy development. A hierarchical logic model was created to map the compatibility of new solar energy projects with current biological conservation values. The research indicated that the extent of compatible areas is much greater than the estimated land area required to achieve 2040 greenhouse gas reduction goals. Species distribution models were produced for 65 animal and plant species that were of potential conservation significance to the Desert Renewable Energy Conservation Plan process. These models mapped historical and projected future habitat suitability using 270 meter resolution climate grids. The results were integrated into analytical frameworks to locate potential sites for offsetting project impacts and evaluating the cumulative effects of multiple solar energy projects. Examples applying these frameworks in the Western Mojave Desert ecoregion show the potential of these publicly-available tools to assist regional planning efforts. Results also highlight the necessity to explicitly consider projected land use change and climate change when prioritizing areas for conservation and mitigation offsets. Project data, software and model results are all available online.","language":"English","publisher":"California Energy Commission","usgsCitation":"Davis, F., Kreitler, J.R., Soong, O., Stoms, D.M., Dashiell, S., Hannah, L., Wilkinson, W., and Dingman, J., 2013, Cumulative biological impacts framework for solar energy projects in the California Desert, viii, 89 p.","productDescription":"viii, 89 p.","ipdsId":"IP-055379","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":341052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308282,"type":{"id":15,"text":"Index Page"},"url":"https://www.energy.ca.gov/2015publications/CEC-500-2015-062/"}],"country":"United States","state":"California","otherGeospatial":"California Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      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,{"id":70173460,"text":"70173460 - 2013 - Landscape-scale evaluation of asymmetric interactions between Brown Trout and Brook Trout using two-species occupancy models","interactions":[],"lastModifiedDate":"2016-06-17T14:31:53","indexId":"70173460","displayToPublicDate":"2015-12-22T13:30:00","publicationYear":"2013","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":"Landscape-scale evaluation of asymmetric interactions between Brown Trout and Brook Trout using two-species occupancy models","docAbstract":"<p><span>Predicting the distribution of native stream fishes is fundamental to the management and conservation of many species. Modeling species distributions often consists of quantifying relationships between species occurrence and abundance data at known locations with environmental data at those locations. However, it is well documented that native stream fish distributions can be altered as a result of asymmetric interactions between dominant exotic and subordinate native species. For example, the naturalized exotic Brown Trout&nbsp;</span><i>Salmo trutta</i><span>&nbsp;has been identified as a threat to native Brook Trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;in the eastern United States. To evaluate large-scale patterns of co-occurrence and to quantify the potential effects of Brown Trout presence on Brook Trout occupancy, we used data from 624 stream sites to fit two-species occupancy models. These models assumed that asymmetric interactions occurred between the two species. In addition, we examined natural and anthropogenic landscape characteristics we hypothesized would be important predictors of occurrence of both species. Estimated occupancy for Brook Trout, from a co-occurrence model with no landscape covariates, at sites with Brown Trout present was substantially lower than sites where Brown Trout were absent. We also observed opposing patterns for Brook and Brown Trout occurrence in relation to percentage forest, impervious surface, and agriculture within the network catchment. Our results are consistent with other studies and suggest that alterations to the landscape, and specifically the transition from a forested catchment to one that contains impervious surface or agriculture, reduces the occurrence probability of wild Brook Trout. Our results, however, also suggest that the presence of Brown Trout results in lower occurrence probability of Brook Trout over a range of anthropogenic landscape characteristics, compared with streams where Brown Trout were absent.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.734892","usgsCitation":"Wagner, T., Deweber, J.T., Detar, J., and John A. 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PA","active":true,"usgs":false}],"preferred":false,"id":637156,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Detar, Jason","contributorId":171356,"corporation":false,"usgs":false,"family":"Detar","given":"Jason","email":"","affiliations":[{"id":26873,"text":"Pennsylvania Fish and Boat Commission, Bellefonte, PA","active":true,"usgs":false}],"preferred":false,"id":637155,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"John A. Sweka","contributorId":171358,"corporation":false,"usgs":false,"family":"John A. Sweka","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false}],"preferred":false,"id":637157,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70173472,"text":"70173472 - 2013 - Semi-automted analysis of high-resolution aerial images to quantify docks in Upper  Midwest glacial lakes","interactions":[],"lastModifiedDate":"2016-06-17T13:48:54","indexId":"70173472","displayToPublicDate":"2015-12-15T09:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Semi-automted analysis of high-resolution aerial images to quantify docks in Upper  Midwest glacial lakes","docAbstract":"<p><span>Lake resources can be negatively affected by environmental stressors originating from multiple sources and different spatial scales. Shoreline development, in particular, can negatively affect lake resources through decline in habitat quality, physical disturbance, and impacts on fisheries. The development of remote sensing techniques that efficiently characterize shoreline development in a regional context could greatly improve management approaches for protecting and restoring lake resources. The goal of this study was to develop an approach using high-resolution aerial photographs to quantify and assess docks as indicators of shoreline development. First, we describe a dock analysis workflow that can be used to quantify the spatial extent of docks using aerial images. Our approach incorporates pixel-based classifiers with object-based techniques to effectively analyze high-resolution digital imagery. Second, we apply the analysis workflow to quantify docks for 4261 lakes managed by the Minnesota Department of Natural Resources. Overall accuracy of the analysis results was 98.4% (87.7% based on&nbsp;</span><span id=\"mmlsi3\" class=\"mathmlsrc\"><a class=\"mathImg\" title=\"View the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0924271613001068&amp;_mathId=si3.gif&amp;_user=111111111&amp;_pii=S0924271613001068&amp;_rdoc=1&amp;_issn=09242716&amp;md5=c850e2fc082efc143e4f8df6c95062a4\"><img class=\"imgLazyJSB inlineImage\" title=\"View the MathML source\" src=\"http://ars.els-cdn.com/content/image/1-s2.0-S0924271613001068-si3.gif\" alt=\"View the MathML source\" width=\"15\" height=\"15\" data-inlimgeid=\"1-s2.0-S0924271613001068-si3.gif\" data-loaded=\"true\" /></a></span><span>) after manual post-processing. The analysis workflow was also 74% more efficient than the time required for manual digitization of docks. These analyses have immediate relevance for resource planning in Minnesota, whereas the dock analysis workflow could be used to quantify shoreline development in other regions with comparable imagery. These data can also be used to better understand the effects of shoreline development on aquatic resources and to evaluate the effects of shoreline development relative to other stressors.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2013.04.006","usgsCitation":"Beck, M.W., Vondracek, B.C., Hatch, L.K., and Vinje, J., 2013, Semi-automted analysis of high-resolution aerial images to quantify docks in Upper  Midwest glacial lakes: ISPRS Journal of Photogrammetry and Remote Sensing, v. 81, p. 60-69, https://doi.org/10.1016/j.isprsjprs.2013.04.006.","productDescription":"9 p.","startPage":"60","endPage":"69","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041517","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70173470,"text":"70173470 - 2013 - Between- and within-lake responses of macrophyte richness metrics to shoreline developmen","interactions":[],"lastModifiedDate":"2016-06-17T13:52:01","indexId":"70173470","displayToPublicDate":"2015-12-07T14:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Between- and within-lake responses of macrophyte richness metrics to shoreline developmen","docAbstract":"<p>A<span>quatic habitat in littoral environments can be affected by residential development of shoreline areas. We evaluated the relationship between macrophyte richness metrics and shoreline development to quantify indicator response at 2 spatial scales for Minnesota lakes. First, the response of total, submersed, and sensitive species to shoreline development was evaluated within lakes to quantify macrophyte response as a function of distance to the nearest dock. Within-lake analyses using generalized linear mixed models focused on 3 lakes of comparable size with a minimal influence of watershed land use. Survey points farther from docks had higher total species richness and presence of species sensitive to disturbance. Second, between-lake effects of shoreline development on total, submersed, emergent-floating, and sensitive species were evaluated for 1444 lakes. Generalized linear models were developed for all lakes and stratified subsets to control for lake depth and watershed land use. Between-lake analyses indicated a clear response of macrophyte richness metrics to increasing shoreline development, such that fewer emergent-floating and sensitive species were correlated with increasing density of docks. These trends were particularly evident for deeper lakes with lower watershed development. Our results provide further evidence that shoreline development is associated with degraded aquatic habitat, particularly by illustrating the response of macrophyte richness metrics across multiple lake types and different spatial scales.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.828806","usgsCitation":"Beck, M.W., Vondracek, B.C., and Hatch, L.K., 2013, Between- and within-lake responses of macrophyte richness metrics to shoreline developmen: Lake and Reservoir Management, v. 29, no. 3, p. 179-193, https://doi.org/10.1080/10402381.2013.828806.","productDescription":"14 p.","startPage":"179","endPage":"193","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043467","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10402381.2013.828806","text":"Publisher Index Page"},{"id":323903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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