Results from an acoustic ray-tracing program using daily meteorological profiles are presented to explain ‘release-site biases’ for homing pigeons at three experimental sites in upstate New York where W. T. Keeton and his co-workers at Cornell University conducted extensive releases between 1968 and 1987 in their investigations of the avian navigational ‘map’. The sites are the Jersey Hill and Castor Hill fire towers, and another near Weedsport, where control pigeons from the Cornell loft vanished in random directions, in directions consistently >50 deg clockwise and in directions ∼15 deg clockwise from the homeward bearing, respectively. Because Cornell pigeons were disoriented at Jersey Hill whereas birds from other lofts were not, it is inferred that Jersey Hill lies within an acoustic ‘shadow’ zone relative to infrasonic signals originating from the Cornell loft’s vicinity. Such signals could arise from ground-to-air coupling of near-continuous microseisms, or from scattering of direct microbaroms off terrain features, both of which are initially generated by wave–wave interactions in the deep ocean. HARPA runs show that little or no infrasound from the loft area arrived at Jersey Hill on days when Cornell pigeons were disoriented there, and that homeward infrasonic signals could have arrived at all three sites from directions consistent with pigeon departure bearings, especially on days when these bearings were unusual. The general stability of release-site biases might be due to influences of terrain on transmission of the homeward signals under prevailing weather patterns, whereas short-term changes in biases might be caused by rapid shifts in atmospheric conditions.
","language":"English","publisher":"Society of Experimental Biology","doi":"10.1242/jeb.072934","usgsCitation":"Hagstrum, J.T., 2013, Atmospheric propagation modeling indicates homing pigeons use loft-specific infrasonic ‘map’ cues: Journal of Experimental Biology, v. 216, p. 687-699, https://doi.org/10.1242/jeb.072934.","productDescription":"13 p.","startPage":"687","endPage":"699","ipdsId":"IP-042311","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":488654,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.072934","text":"Publisher Index Page"},{"id":342907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.167724609375,\n 42.167475010395336\n ],\n [\n -75.8331298828125,\n 42.167475010395336\n ],\n [\n -75.8331298828125,\n 43.61619382369185\n ],\n [\n -78.167724609375,\n 43.61619382369185\n ],\n [\n -78.167724609375,\n 42.167475010395336\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"216","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d28e4b062508e3c36d3","contributors":{"authors":[{"text":"Hagstrum, Jonathan T. 0000-0002-0689-280X jhag@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-280X","contributorId":3474,"corporation":false,"usgs":true,"family":"Hagstrum","given":"Jonathan","email":"jhag@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700737,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046341,"text":"cir1390 - 2013 - Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery","interactions":[],"lastModifiedDate":"2013-07-01T15:40:19","indexId":"cir1390","displayToPublicDate":"2013-07-01T00:00:00","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":"1390","title":"Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery","docAbstract":"n late October 2012, Hurricane Sandy came ashore during a spring high tide on the New Jersey coastline, delivering hurricane-force winds, storm tides exceeding 19 feet, driving rain, and plummeting temperatures. Hurricane Sandy resulted in 72 direct fatalities in the mid-Atlantic and northeastern United States, and widespread and substantial physical, environmental, ecological, social, and economic impacts estimated at near $50 billion. Before the landfall of Hurricane Sandy, the USGS provided forecasts of potential coastal change; collected oblique aerial photography of pre-storm coastal morphology; deployed storm-surge sensors, rapid-deployment streamgages, wave sensors, and barometric pressure sensors; conducted Light Detection And Ranging (lidar) aerial topographic surveys of coastal areas; and issued a landslide alert for landslide prone areas. During the storm, Tidal Telemetry Networks provided real-time water-level information along the coast. Long-term network and rapid-deployment real-time streamgages and water-quality monitors reported on river levels and changes in water quality. Immediately after the storm, the USGS serviced real-time instrumentation, retrieved data from over 140 storm-surge sensors, and collected other essential environmental data, including more than 830 high-water marks mapping the extent and elevation of the storm surge. Post-storm lidar surveys documented storm impacts to coastal barriers informing response and recovery and providing a new baseline to assess vulnerability of the reconfigured coast. The USGS Hazard Data Distribution System served storm related information from many agencies on the Internet on a daily basis. This science plan was developed immediately following Hurricane Sandy to coordinate continuing USGS activities with other agencies and to guide continued data collection and analysis to ensure support for recovery and restoration efforts. The data, information, and tools that are produced by implementing this plan will: (1) further characterize impacts and changes, (2) guide mitigation and restoration of impacted communities and ecosystems, (3) inform a redevelopment strategy aimed at developing resilient coastal communities and ecosystems, (4) improve preparedness and responsiveness to the next hurricane or similar coastal disaster, and (5) enable improved hazard assessment, response, and recovery for future storms along the hurricane prone shoreline of the United States. The activities outlined in this plan are organized in five themes based on impact types and information needs. These USGS science themes are: Theme 1: Coastal topography and bathymetry. Theme 2: Impacts to coastal beaches and barriers. Theme 3: Impacts of storm surge and estuarine and bay hydrology. Theme 4: Impacts on environmental quality and persisting contaminant exposures. Theme 5: Impacts to coastal ecosystems, habitats, and fish and wildlife. A major emphasis in the implementation of this plan will be on interacting with stakeholders to better understand their specific data and information needs, to define the best way to make information available, and to support applications of USGS science and expertise to decisionmaking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1390","usgsCitation":"Buxton, H.T., Andersen, M.E., Focazio, M.J., Haines, J.W., Hainly, R.A., Hippe, D.J., and Sugarbaker, L.J., 2013, Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery: U.S. Geological Survey Circular 1390, vi, 26 p., https://doi.org/10.3133/cir1390.","productDescription":"vi, 26 p.","numberOfPages":"32","additionalOnlineFiles":"N","ipdsId":"IP-046133","costCenters":[{"id":507,"text":"Office of the AD Energy and Mineralsand Environmental Health","active":false,"usgs":true}],"links":[{"id":274399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1390.gif"},{"id":274393,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1390/circ1390.pdf"},{"id":274392,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1390/"}],"country":"United States","state":"Connecticut;Delaware;Maine;Maryl;Massachusetts;New Hampshire;New Jersey;New York;Pennsylvania;Rhode Island;Vermont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.94,36.87 ], [ -77.94,43.86 ], [ -69.62,43.86 ], [ -69.62,36.87 ], [ -77.94,36.87 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d7e4b0ca18483389a3","contributors":{"authors":[{"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":479516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Matthew E. 0000-0003-4115-5028 mandersen@usgs.gov","orcid":"https://orcid.org/0000-0003-4115-5028","contributorId":3190,"corporation":false,"usgs":true,"family":"Andersen","given":"Matthew","email":"mandersen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":479519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":479514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haines, John W. 0000-0002-6475-8924 jhaines@usgs.gov","orcid":"https://orcid.org/0000-0002-6475-8924","contributorId":509,"corporation":false,"usgs":true,"family":"Haines","given":"John","email":"jhaines@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":479513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hainly, Robert A. rahainly@usgs.gov","contributorId":1679,"corporation":false,"usgs":true,"family":"Hainly","given":"Robert","email":"rahainly@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":479515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hippe, Daniel J. djhippe@usgs.gov","contributorId":2281,"corporation":false,"usgs":true,"family":"Hippe","given":"Daniel","email":"djhippe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":479517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sugarbaker, Larry J. lsugarbaker@usgs.gov","contributorId":3079,"corporation":false,"usgs":true,"family":"Sugarbaker","given":"Larry","email":"lsugarbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":479518,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048151,"text":"70048151 - 2013 - Tree growth and competition in an old-growth Picea abies forest of boreal Sweden: influence of tree spatial patterning","interactions":[],"lastModifiedDate":"2014-02-24T11:06:50","indexId":"70048151","displayToPublicDate":"2013-06-01T10:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Tree growth and competition in an old-growth Picea abies forest of boreal Sweden: influence of tree spatial patterning","docAbstract":"Question: What factors best characterize tree competitive environments in this structurally diverse old-growth forest, and do these factors vary spatially within and among stands?
\nLocation: Old-growth Picea abies forest of boreal Sweden.
\nMethods: Using long-term, mapped permanent plot data augmented with dendrochronological analyses, we evaluated the effect of neighbourhood competition on focal tree growth by means of standard competition indices, each modified to include various metrics of trees size, neighbour mortality weighting (for neighbours that died during the inventory period), and within-neighbourhood tree clustering. Candidate models were evaluated using mixed-model linear regression analyses, with mean basal area increment as the response variable. We then analysed stand-level spatial patterns of competition indices and growth rates (via kriging) to determine if the relationship between these patterns could further elucidate factors influencing tree growth.
\nResults: Inter-tree competition clearly affected growth rates, with crown volume being the size metric most strongly influencing the neighbourhood competitive environment. Including neighbour tree mortality weightings in models only slightly improved descriptions of competitive interactions. Although the within-neighbourhood clustering index did not improve model predictions, competition intensity was influenced by the underlying stand-level tree spatial arrangement: stand-level clustering locally intensified competition and reduced tree growth, whereas in the absence of such clustering, inter-tree competition played a lesser role in constraining tree growth.
\nConclusions: Our findings demonstrate that competition continues to influence forest processes and structures in an old-growth system that has not experienced major disturbances for at least two centuries. The finding that the underlying tree spatial pattern influenced the competitive environment suggests caution in interpreting traditional tree competition studies, in which tree spatial patterning is typically not taken into account. Our findings highlight the importance of forest structure – particularly the spatial arrangement of trees – in regulating inter-tree competition and growth in structurally diverse forests, and they provide insight into the causes and consequences of heterogeneity in this old-growth system.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Vegetation Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jvs.12096","usgsCitation":"Fraver, S., D’Amato, A.W., Bradford, J.B., Jonsson, B.G., Jonsson, M., and Esseen, P., 2013, Tree growth and competition in an old-growth Picea abies forest of boreal Sweden: influence of tree spatial patterning: Journal of Vegetation Science, v. 25, no. 2, p. 374-385, https://doi.org/10.1111/jvs.12096.","productDescription":"12 p.","startPage":"374","endPage":"385","numberOfPages":"12","ipdsId":"IP-042516","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":281044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277525,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jvs.12096"}],"country":"Sweden","county":"V�sterbotten County","otherGeospatial":"Gardfj�llet Nature Reserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 14.26,63.41 ], [ 14.26,66.34 ], [ 21.62,66.34 ], [ 21.62,63.41 ], [ 14.26,63.41 ] ] ] } } ] }","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-06-21","publicationStatus":"PW","scienceBaseUri":"53cd7993e4b0b2908510cec6","contributors":{"authors":[{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":483874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false},{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":483871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":483869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jonsson, Bengt Gunnar","contributorId":27361,"corporation":false,"usgs":true,"family":"Jonsson","given":"Bengt","email":"","middleInitial":"Gunnar","affiliations":[],"preferred":false,"id":483870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jonsson, Mari","contributorId":65003,"corporation":false,"usgs":true,"family":"Jonsson","given":"Mari","email":"","affiliations":[],"preferred":false,"id":483873,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Esseen, Per-Anders","contributorId":54113,"corporation":false,"usgs":true,"family":"Esseen","given":"Per-Anders","email":"","affiliations":[],"preferred":false,"id":483872,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046132,"text":"fs20133024 - 2013 - A conceptual hydrogeologic model for the hydrogeologic framework, geochemistry, and groundwater-flow system of the Edwards-Trinity and related aquifers in the Pecos County region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T14:01:32","indexId":"fs20133024","displayToPublicDate":"2013-05-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3024","title":"A conceptual hydrogeologic model for the hydrogeologic framework, geochemistry, and groundwater-flow system of the Edwards-Trinity and related aquifers in the Pecos County region, Texas","docAbstract":"The Edwards-Trinity aquifer is a vital groundwater resource for agricultural, industrial, and municipal uses in the Trans-Pecos region of west Texas. A conceptual model of the hydrogeologic framework, geochemistry, and groundwater-flow system in the 4,700 square-mile study area was developed by the U.S. Geological Survey (USGS) in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1. The model was developed to gain a better understanding of the groundwater system and to establish a scientific foundation for resource-management decisions. Data and information were collected or obtained from various sources to develop the model. Lithologic information obtained from well reports and geophysical data were used to describe the hydrostratigraphy and structural features of the groundwater system, and aquifer-test data were used to estimate aquifer hydraulic properties. Groundwater-quality data were used to evaluate groundwater-flow paths, water and rock interaction, aquifer interaction, and the mixing of water from different sources. Groundwater-level data also were used to evaluate aquifer interaction as well as to develop a potentiometric-surface map, delineate regional groundwater divides, and describe regional groundwater-flow paths.
\nSeveral previous studies have been done to compile or collect physical and chemical data, describe the hydrogeologic processes, and develop conceptual and numerical groundwater-flow models of the Edwards-Trinity aquifer in the Trans-Pecos region. Documented methods were used to compile and collect groundwater, surface-water, geochemical, geophysical, and geologic information that subsequently were used to develop this conceptual model.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133024","collaboration":"Prepared in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1","usgsCitation":"Thomas, J.V., Stanton, G.P., Bumgarner, J.R., Pearson, D., Teeple, A., Houston, N.A., Payne, J., and Musgrove, M., 2013, A conceptual hydrogeologic model for the hydrogeologic framework, geochemistry, and groundwater-flow system of the Edwards-Trinity and related aquifers in the Pecos County region, Texas: U.S. Geological Survey Fact Sheet 2013-3024, 6 p., https://doi.org/10.3133/fs20133024.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":272903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133024.gif"},{"id":272902,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3024/pdf/fs2013-3024.pdf"},{"id":272901,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3024/"}],"projection":"Albers Equal Area","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Pecos County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,30.08 ], [ -104,31.30 ], [ -102,31.30 ], [ -102,30.08 ], [ -104,30.08 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a5c3d2e4b0605bc571ef52","contributors":{"authors":[{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Gregory P. 0000-0001-8622-0933 gstanton@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-0933","contributorId":1583,"corporation":false,"usgs":true,"family":"Stanton","given":"Gregory","email":"gstanton@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":478991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bumgarner, Johnathan R. jbumgarner@usgs.gov","contributorId":5378,"corporation":false,"usgs":true,"family":"Bumgarner","given":"Johnathan","email":"jbumgarner@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":478994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Daniel K.","contributorId":52014,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel K.","affiliations":[],"preferred":false,"id":478996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teeple, Andrew 0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houston, Natalie A. 0000-0002-6071-4545 nhouston@usgs.gov","orcid":"https://orcid.org/0000-0002-6071-4545","contributorId":1682,"corporation":false,"usgs":true,"family":"Houston","given":"Natalie","email":"nhouston@usgs.gov","middleInitial":"A.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478992,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Payne, Jason 0000-0003-4294-7924 jdpayne@usgs.gov","orcid":"https://orcid.org/0000-0003-4294-7924","contributorId":1062,"corporation":false,"usgs":true,"family":"Payne","given":"Jason ","email":"jdpayne@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478989,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":478995,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70045720,"text":"70045720 - 2013 - Presence-only modeling using MAXENT: when can we trust the inferences?","interactions":[],"lastModifiedDate":"2013-05-02T10:08:03","indexId":"70045720","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Presence-only modeling using MAXENT: when can we trust the inferences?","docAbstract":"1. Recently, interest in species distribution modelling has increased following the development of new methods for the analysis of presence-only data and the deployment of these methods in user-friendly and powerful computer programs. However, reliable inference from these powerful tools requires that several assumptions be met, including the assumptions that observed presences are the consequence of random or representative sampling and that detectability during sampling does not vary with the covariates that determine occurrence probability.\n2. Based on our interactions with researchers using these tools, we hypothesized that many presence-only studies were ignoring important assumptions of presence-only modelling. We tested this hypothesis by reviewing 108 articles published between 2008 and 2012 that used the MAXENT algorithm to analyse empirical (i.e. not simulated) data. We chose to focus on these articles because MAXENT has been the most popular algorithm in recent years for analysing presence-only data.\n3. Many articles (87%) were based on data that were likely to suffer from sample selection bias; however, methods to control for sample selection bias were rarely used. In addition, many analyses (36%) discarded absence information by analysing presence–absence data in a presence-only framework, and few articles (14%) mentioned detection probability. We conclude that there are many misconceptions concerning the use of presence-only models, including the misunderstanding that MAXENT, and other presence-only methods, relieve users from the constraints of survey design.\n4. In the process of our literature review, we became aware of other factors that raised concerns about the validity of study conclusions. In particular, we observed that 83% of articles studies focused exclusively on model output (i.e. maps) without providing readers with any means to critically examine modelled relationships and that MAXENT's logistic output was frequently (54% of articles) and incorrectly interpreted as occurrence probability.\n5. We conclude with a series of recommendations foremost that researchers analyse data in a presence–absence framework whenever possible, because fewer assumptions are required and inferences can be made about clearly defined parameters such as occurrence probability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/2041-210x.12004","usgsCitation":"Yackulic, C.B., Chandler, R., Zipkin, E., Royle, J., Nichols, J., Grant, E., and Veran, S., 2013, Presence-only modeling using MAXENT: when can we trust the inferences?: Methods in Ecology and Evolution, v. 4, no. 3, p. 236-243, https://doi.org/10.1111/2041-210x.12004.","productDescription":"8 p.","startPage":"236","endPage":"243","ipdsId":"IP-041882","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12004","text":"Publisher Index Page"},{"id":271731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271730,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/2041-210x.12004"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-11-21","publicationStatus":"PW","scienceBaseUri":"51837cebe4b0a21483941a61","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":478192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Richard rchandler@usgs.gov","contributorId":2511,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":478190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":478193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":478189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grant, Evan H. Campbell ehgrant@usgs.gov","contributorId":3696,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","email":"ehgrant@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":478191,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Veran, Sophie","contributorId":76983,"corporation":false,"usgs":true,"family":"Veran","given":"Sophie","email":"","affiliations":[],"preferred":false,"id":478194,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199701,"text":"70199701 - 2013 - Development of web-based organic petrology photomicrograph atlases and internet resources for professionals and students","interactions":[],"lastModifiedDate":"2018-09-26T11:11:50","indexId":"70199701","displayToPublicDate":"2013-05-01T11:11:41","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Development of web-based organic petrology photomicrograph atlases and internet resources for professionals and students","docAbstract":"With advances in web applications, organic petrography and other related disciplines are in need of updated online resources and educational tools to aid professionals and students in the identification and interpretation of macerals. The U.S. Geological Survey (USGS) Organic Petrology Laboratory along with USGS Eastern Energy Resources Science Center Information Technology staff have developed five web atlases containing images of organic matter in geologic materials: 1. an American Society for Testing and Materials (ASTM) Atlas, 2. an Organic Petrology Taxonomy for International Classification (OPTIC) of Coal Macerals Atlas, 3. an Interactive Gulf Coast Photomicrograph Web Atlas (I-Map), 4. an Organic Material in Shales Atlas (Shale), and 5. an interactive Blue/White/Ultraviolet (UV) Light Atlas (Light). Each web atlas contains images of macerals with associated sample and petrographic data collected by the USGS. These webpages will provide means to preserve and circulate petrographic data collected by the USGS for coal and shale samples from all over the world.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2012.09.012","usgsCitation":"Valentine, B.J., Morrissey, E., Park, A., Reidy, M.E., and Hackley, P.C., 2013, Development of web-based organic petrology photomicrograph atlases and internet resources for professionals and students: International Journal of Coal Geology, v. 111, p. 106-111, https://doi.org/10.1016/j.coal.2012.09.012.","productDescription":"6 p.","startPage":"106","endPage":"111","ipdsId":"IP-035471","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc03acee4b0fc368eb53b36","contributors":{"authors":[{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrissey, Eric A. 0000-0001-9001-7487","orcid":"https://orcid.org/0000-0001-9001-7487","contributorId":204980,"corporation":false,"usgs":true,"family":"Morrissey","given":"Eric A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":746260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Park, Andy J. 0000-0003-1454-1150","orcid":"https://orcid.org/0000-0003-1454-1150","contributorId":208185,"corporation":false,"usgs":true,"family":"Park","given":"Andy J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":746258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reidy, Mark E. 0000-0002-2302-0106 mreidy@usgs.gov","orcid":"https://orcid.org/0000-0002-2302-0106","contributorId":4035,"corporation":false,"usgs":true,"family":"Reidy","given":"Mark","email":"mreidy@usgs.gov","middleInitial":"E.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":746261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":746262,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045337,"text":"ds69Z - 2013 - Map of assessed shale gas in the United States, 2012","interactions":[],"lastModifiedDate":"2013-04-09T19:52:53","indexId":"ds69Z","displayToPublicDate":"2013-04-09T00:00:00","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":"Z","title":"Map of assessed shale gas in the United States, 2012","docAbstract":"The U.S. Geological Survey has compiled a map of shale-gas assessments in the United States that were completed by 2012 as part of the National Assessment of Oil and Gas Project. Using a geology-based assessment methodology, the U.S. Geological Survey quantitatively estimated potential volumes of undiscovered gas within shale-gas assessment units. These shale-gas assessment units are mapped, and square-mile cells are shown to represent proprietary shale-gas wells. The square-mile cells include gas-producing wells from shale intervals. In some cases, shale-gas formations contain gas in deeper parts of a basin and oil at shallower depths (for example, the Woodford Shale and the Eagle Ford Shale). Because a discussion of shale oil is beyond the scope of this report, only shale-gas assessment units and cells are shown. The map can be printed as a hardcopy map or downloaded for interactive analysis in a Geographic Information System data package using the ArcGIS map document (file extension MXD) and published map file (file extension PMF). Also available is a publications access table with hyperlinks to current U.S. Geological Survey shale gas assessment publications and web pages. Assessment results and geologic reports are available as completed at the U.S. Geological Survey Energy Resources Program Web Site, http://energy.usgs.gov/OilGas/AssessmentsData/NationalOilGasAssessment.aspx. A historical perspective of shale gas activity in the United States is documented and presented in a video clip included as a PowerPoint slideshow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69Z","collaboration":"National Assessment of Oil and Gas Project","usgsCitation":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team, and Biewick, L., 2013, Map of assessed shale gas in the United States, 2012: U.S. Geological Survey Data Series 69, iii, 16 p.; Map: 1 Sheet: 37 x 27 inches; Table 1; Shale Gas Slideshow 2012; Downloads Directory, https://doi.org/10.3133/ds69Z.","productDescription":"iii, 16 p.; Map: 1 Sheet: 37 x 27 inches; Table 1; Shale Gas Slideshow 2012; Downloads Directory","additionalOnlineFiles":"Y","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":270760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69z.gif"},{"id":270756,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-z/downloads/DDS-69-Z_plate1.pdf"},{"id":270757,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-z/downloads/Table1.pdf"},{"id":270754,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-z/"},{"id":270755,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-z/DDS-69-Z_pamphlet.pdf"},{"id":270758,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-z/downloads/DDS-69-Z_ShaleGasSlideshow2012.pps"},{"id":270759,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-z/downloads/"}],"otherGeospatial":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51652a5fe4b077fa94dadf4f","contributors":{"authors":[{"text":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team","contributorId":128233,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team","id":535481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biewick, Laura R. H. (compiler) lbiewick@usgs.gov","contributorId":92561,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura R. H.","suffix":"(compiler)","email":"lbiewick@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":477264,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041125,"text":"70041125 - 2013 - An assessment of hydrothermal alteration in the Santiaguito lava dome complex, Guatemala: implications for dome collapse hazards","interactions":[],"lastModifiedDate":"2013-03-18T17:38:19","indexId":"70041125","displayToPublicDate":"2013-03-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of hydrothermal alteration in the Santiaguito lava dome complex, Guatemala: implications for dome collapse hazards","docAbstract":"A combination of field mapping, geochemistry, and remote sensing methods has been employed to determine the extent of hydrothermal alteration and assess the potential for failure at the Santiaguito lava dome complex, Guatemala. The 90-year-old complex of four lava domes has only experienced relatively small and infrequent dome collapses in the past, which were associated with lava extrusion. However, existing evidence of an active hydrothermal system coupled with intense seasonal precipitation also presents ideal conditions for instability related to weakened clay-rich edifice rocks. Mapping of the Santiaguito dome complex identified structural features related to dome growth dynamics, potential areas of weakness related to erosion, and locations of fumarole fields. X-ray diffraction and backscattered electron images taken with scanning electron microscopy of dacite and ash samples collected from around fumaroles revealed only minor clay films, and little evidence of alteration. Mineral mapping using ASTER and Hyperion satellite images, however, suggest low-temperature (<150 °C) silicic alteration on erosional surfaces of the domes, but not the type of pervasive acid-sulfate alteration implicated in collapses of other altered edifices. To evaluate the possibility of internal alteration, we re-examined existing aqueous geochemical data from dome-fed hot springs. The data indicate significant water–rock interaction, but the Na–Mg–K geoindicator suggests only a short water residence time, and δ18O/δD ratios show only minor shifts from the meteoric water line with little precipitation of secondary (alteration) minerals. Based on available data, hydrothermal alteration on the dome complex appears to be restricted to surficial deposits of hydrous silica, but the study has highlighted, importantly, that the 1902 eruption crater headwall of Santa María does show more advanced argillic alteration. We also cannot rule out the possibility of advanced alteration within the dome complex interior that is not accessible to the methods used here. It may therefore be prudent to employ geophysical methods to make further assessments in the future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Volcanology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00445-012-0676-z","usgsCitation":"Ball, J.L., Calder, E.S., Hubbard, B.E., and Bernstein, M.L., 2013, An assessment of hydrothermal alteration in the Santiaguito lava dome complex, Guatemala: implications for dome collapse hazards: Bulletin of Volcanology, v. 75, p. 676-676, https://doi.org/10.1007/s00445-012-0676-z.","productDescription":"1 p.","startPage":"676","endPage":"676","ipdsId":"IP-037622","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":473915,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-012-0676-z","text":"Publisher Index Page"},{"id":269688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269687,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00445-012-0676-z"}],"country":"Guatemala","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.23,13.74 ], [ -92.23,17.82 ], [ -88.23,17.82 ], [ -88.23,13.74 ], [ -92.23,13.74 ] ] ] } } ] }","volume":"75","noUsgsAuthors":false,"publicationDate":"2013-01-12","publicationStatus":"PW","scienceBaseUri":"51482959e4b022dd171afda4","contributors":{"authors":[{"text":"Ball, Jessica L. 0000-0002-7837-8180","orcid":"https://orcid.org/0000-0002-7837-8180","contributorId":100707,"corporation":false,"usgs":true,"family":"Ball","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calder, Eliza S.","contributorId":96562,"corporation":false,"usgs":true,"family":"Calder","given":"Eliza","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubbard, Bernard E. 0000-0002-9315-2032 bhubbard@usgs.gov","orcid":"https://orcid.org/0000-0002-9315-2032","contributorId":2342,"corporation":false,"usgs":true,"family":"Hubbard","given":"Bernard","email":"bhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":469438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernstein, Marc L.","contributorId":42853,"corporation":false,"usgs":true,"family":"Bernstein","given":"Marc","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044502,"text":"70044502 - 2013 - Modeling variably saturated subsurface solute transport with MODFLOW-UZF and MT3DMS","interactions":[],"lastModifiedDate":"2013-03-11T20:43:16","indexId":"70044502","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Modeling variably saturated subsurface solute transport with MODFLOW-UZF and MT3DMS","docAbstract":"The MT3DMS groundwater solute transport model was modified to simulate solute transport in the unsaturated zone by incorporating the unsaturated-zone flow (UZF1) package developed for MODFLOW. The modified MT3DMS code uses a volume-averaged approach in which Lagrangian-based UZF1 fluid fluxes and storage changes are mapped onto a fixed grid. Referred to as UZF-MT3DMS, the linked model was tested against published benchmarks solved analytically as well as against other published codes, most frequently the U.S. Geological Survey's Variably-Saturated Two-Dimensional Flow and Transport Model. Results from a suite of test cases demonstrate that the modified code accurately simulates solute advection, dispersion, and reaction in the unsaturated zone. Two- and three-dimensional simulations also were investigated to ensure unsaturated-saturated zone interaction was simulated correctly. Because the UZF1 solution is analytical, large-scale flow and transport investigations can be performed free from the computational and data burdens required by numerical solutions to Richards' equation. Results demonstrate that significant simulation runtime savings can be achieved with UZF-MT3DMS, an important development when hundreds or thousands of model runs are required during parameter estimation and uncertainty analysis. Three-dimensional variably saturated flow and transport simulations revealed UZF-MT3DMS to have runtimes that are less than one tenth of the time required by models that rely on Richards' equation. Given its accuracy and efficiency, and the wide-spread use of both MODFLOW and MT3DMS, the added capability of unsaturated-zone transport in this familiar modeling framework stands to benefit a broad user-ship.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1745-6584.2012.00971.x","usgsCitation":"Morway, E., Niswonger, R., Langevin, C.D., Bailey, R., and Healy, R.W., 2013, Modeling variably saturated subsurface solute transport with MODFLOW-UZF and MT3DMS: Ground Water, v. 51, no. 2, p. 237-251, https://doi.org/10.1111/j.1745-6584.2012.00971.x.","productDescription":"15 p.","startPage":"237","endPage":"251","ipdsId":"IP-034540","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":473920,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1745-6584.2012.00971.x","text":"Publisher Index Page"},{"id":269092,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2012.00971.x"},{"id":269093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-07-26","publicationStatus":"PW","scienceBaseUri":"513eeee1e4b0dcc73396934b","contributors":{"authors":[{"text":"Morway, Eric D.","contributorId":72276,"corporation":false,"usgs":true,"family":"Morway","given":"Eric D.","affiliations":[],"preferred":false,"id":475755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":475754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":475753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Ryan T.","contributorId":105986,"corporation":false,"usgs":true,"family":"Bailey","given":"Ryan T.","affiliations":[],"preferred":false,"id":475756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":475752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70044477,"text":"ds751 - 2013 - Chemical and isotopic data collected from groundwater, surface-water, and atmospheric precipitation sites in Upper Kittitas County, Washington, 2010-12","interactions":[],"lastModifiedDate":"2013-03-08T07:01:11","indexId":"ds751","displayToPublicDate":"2013-03-08T00:00:00","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":"751","title":"Chemical and isotopic data collected from groundwater, surface-water, and atmospheric precipitation sites in Upper Kittitas County, Washington, 2010-12","docAbstract":"As part of a multidisciplinary U.S. Geological Survey study of water resources in Upper Kittitas County, Washington, chemical and isotopic data were collected from groundwater, surface-water, and atmospheric precipitation sites from 2010 to 2012. These data are documented here so that interested parties can quickly and easily find those chemical and isotopic data related to this study. The locations of the samples are shown on an interactive map of the study area. This report is dynamic; additional data will be added to it as they become available.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds751","collaboration":"Prepared in cooperation with the Washington State Department of Ecology and Kittitas County","usgsCitation":"Hinkle, S.R., and Ely, D.M., 2013, Chemical and isotopic data collected from groundwater, surface-water, and atmospheric precipitation sites in Upper Kittitas County, Washington, 2010-12: U.S. Geological Survey Data Series 751, HTML Document: Abstract, Conversion Factors, Selected Abbreviations, Isotope Terminology, and Well Numbering System, Figure 1, Glossary, Appendix A, Appendix A CSV, Interactive Map, https://doi.org/10.3133/ds751.","productDescription":"HTML Document: Abstract, Conversion Factors, Selected Abbreviations, Isotope Terminology, and Well Numbering System, Figure 1, Glossary, Appendix A, Appendix A CSV, Interactive Map","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043011","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":268910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds751.gif"},{"id":268909,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/751/"}],"country":"United States","state":"Washington","county":"Kittitas County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.46,46.73 ], [ -121.46,47.59 ], [ -119.92,47.59 ], [ -119.92,46.73 ], [ -121.46,46.73 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513b085fe4b02bba6b717ecc","contributors":{"authors":[{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, D. Matthew","contributorId":100052,"corporation":false,"usgs":true,"family":"Ely","given":"D.","email":"","middleInitial":"Matthew","affiliations":[],"preferred":false,"id":475696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188865,"text":"70188865 - 2013 - Correlation of geothermal springs with sub-surface fault terminations revealed by high-resolution, UAV-acquired magnetic data","interactions":[],"lastModifiedDate":"2017-06-27T14:49:17","indexId":"70188865","displayToPublicDate":"2013-02-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":" Correlation of geothermal springs with sub-surface fault terminations revealed by high-resolution, UAV-acquired magnetic data","docAbstract":"There is widespread agreement that geothermal springs in extensional geothermal systems are concentrated at fault tips and in fault interaction zones where porosity and permeability are dynamically maintained (Curewitz and Karson, 1997; Faulds et al., 2010). Making these spatial correlations typically involves geological and geophysical studies in order to map structures and their relationship to springs at the surface. Geophysical studies include gravity and magnetic surveys, which are useful for identifying buried, intra-basin structures, especially in areas where highly magnetic, dense mafic volcanic rocks are interbedded with, and faulted against less magnetic, less dense sedimentary rock. High-resolution magnetic data can also be collected from the air in order to provide continuous coverage. Unmanned aerial systems (UAS) are well-suited for conducting these surveys as they can provide uniform, low-altitude, high-resolution coverage of an area without endangering crew. In addition, they are more easily adaptable to changes in flight plans as data are collected, and improve efficiency. We have developed and tested a new system to collect magnetic data using small-platform UAS. We deployed this new system in Surprise Valley, CA, in September, 2012, on NASA's SIERRA UAS to perform a reconnaissance survey of the entire valley as well as detailed surveys in key transition zones. This survey has enabled us to trace magnetic anomalies seen in ground-based profiles along their length. Most prominent of these is an intra-basin magnetic high that we interpret as a buried, faulted mafic dike that runs a significant length of the valley. Though this feature lacks surface expression, it appears to control the location of geothermal springs. All of the major hot springs on the east side of the valley lie along the edge of the high, and more specifically, at structural transitions where the high undergoes steps, bends, or breaks. The close relationship between the springs and structure terminations revealed by this study is unprecedented. Collecting magnetic data via UAS represents a new capability in geothermal exploration of remote and dangerous areas that significantly enhances our ability to map the subsurface.
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","ipdsId":"IP-044179","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":343009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343008,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.cwu.edu/geological_sciences/2/"}],"country":"United States","state":"California","county":"Modoc County ","otherGeospatial":"Surprise Valley ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.10528564453125,\n 41.92271616673922\n ],\n [\n -120.14648437499999,\n 41.864447405239375\n ],\n [\n -120.18356323242188,\n 41.78769700539063\n ],\n [\n -120.20278930664062,\n 41.70982942509964\n ],\n [\n -120.21514892578125,\n 41.66162721430806\n ],\n [\n -120.19454956054686,\n 41.59182393372352\n ],\n [\n -120.17807006835936,\n 41.549700145132725\n ],\n [\n -120.18905639648438,\n 41.49932105451145\n ],\n [\n -120.1519775390625,\n 41.43860847395721\n ],\n [\n -120.12451171875,\n 41.35104125623227\n ],\n [\n -120.10253906249999,\n 41.29122180718259\n ],\n [\n -120.03799438476561,\n 41.1724519493126\n ],\n [\n -120.00503540039061,\n 41.176586696571015\n ],\n [\n -120.0146484375,\n 41.27058168052551\n ],\n [\n -120.01190185546875,\n 41.307729208348015\n ],\n [\n -120.01327514648438,\n 41.38608229923676\n ],\n [\n -120.00778198242186,\n 41.54764462357737\n ],\n [\n -120.02975463867188,\n 41.790768787851285\n ],\n [\n -120.00228881835938,\n 41.92782492551717\n ],\n [\n -120.02014160156249,\n 41.96051129429777\n ],\n [\n -120.10528564453125,\n 41.92271616673922\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eaee4b062508e3c7ab5","contributors":{"authors":[{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"A.E. 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The inundation maps depict estimates of the areal extent of flooding corresponding to water levels (stages) at the USGS streamgage Killbuck Creek near Killbuck (03139000) and were completed as part of an update to Federal Emergency Management Agency Flood-Insurance Study. The maps were provided to the National Weather Service (NWS) for incorporation into a Web-based flood-warning system that can be used in conjunction with NWS flood-forecast data to show areas of predicted flood inundation associated with forecasted flood-peak stages. The digital maps also have been submitted for inclusion in the data libraries of the USGS interactive Flood Inundation Mapper. Data from the streamgage can be used by emergency-management personnel, in conjunction with the flood-inundation maps, to help determine a course of action when flooding is imminent. Flood profiles for selected reaches were prepared by calibrating a steady-state step-backwater model to an established streamgage rating curve. The step-backwater model then was used to determine water-surface-elevation profiles for 10 flood stages at the streamgage with corresponding streamflows ranging from approximately the 50- to 0.2-percent annual exceedance probabilities. The computed flood profiles were used in combination with digital elevation data to delineate flood-inundation areas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131032","collaboration":"Prepared in cooperation with Holmes County, Ohio","usgsCitation":"Ostheimer, C.J., 2013, Development of flood profiles and flood-inundation maps for the Village of Killbuck, Ohio: U.S. Geological Survey Open-File Report 2013-1032, iv, 8 p.; Downloads Directory, https://doi.org/10.3133/ofr20131032.","productDescription":"iv, 8 p.; Downloads Directory","startPage":"i","endPage":"8","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":267855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1032.gif"},{"id":267854,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1032/GIS_data_downloads"},{"id":267852,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1032/"},{"id":267853,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1032/pdf/OFR2013-1032.pdf"}],"country":"United States","state":"Ohio","city":"Killbuck","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.987175,40.487845 ], [ -81.987175,40.506004 ], [ -81.975585,40.506004 ], [ -81.975585,40.487845 ], [ -81.987175,40.487845 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5125f084e4b09d00759cd050","contributors":{"authors":[{"text":"Ostheimer, Chad J. ostheime@usgs.gov","contributorId":2160,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad","email":"ostheime@usgs.gov","middleInitial":"J.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":474286,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038472,"text":"70038472 - 2013 - Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border","interactions":[],"lastModifiedDate":"2020-09-11T17:08:53.632551","indexId":"70038472","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border","docAbstract":"The extent to which faults exhibit temporally varying slip rates has important consequences for models of fault mechanics and probabilistic seismic hazard. Here, we explore the temporal behavior of the dextral‐slip Warm Springs Valley fault system, which is part of a network of closely spaced (10–20 km) faults in the northern Walker Lane (California–Nevada border). We develop a late Quaternary slip record for the fault using Quaternary mapping and high‐resolution topographic data from airborne Light Distance and Ranging (LiDAR). The faulted Fort Sage alluvial fan (40.06° N, 119.99° W) is dextrally displaced 98+42/-43 m, and we estimate the age of the alluvial fan to be 41.4+10.0/-4.8 to 55.7±9.2 ka, based on a terrestrial cosmogenic 10Be depth profile and 36Cl analyses on basalt boulders, respectively. The displacement and age constraints for the fan yield a slip rate of 1.8 +0.8/-0.8 mm/yr to 2.4 +1.2/-1.1 mm/yr (2σ) along the northern Warm Springs Valley fault system for the past 41.4–55.7 ka. In contrast to this longer‐term slip rate, shorelines associated with the Sehoo highstand of Lake Lahontan (~15.8 ka) adjacent to the Fort Sage fan are dextrally faulted at most 3 m, which limits a maximum post‐15.8 ka slip rate to 0.2 mm/yr. These relations indicate that the post‐Lahontan slip rate on the fault is only about one‐tenth the longer‐term (41–56 ka) average slip rate. This apparent slip‐rate variation may be related to co‐dependent interaction with the nearby Honey Lake fault system, which shows evidence of an accelerated period of mid‐Holocene earthquakes.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120020","usgsCitation":"Gold, R., dePolo, C., Briggs, R.W., Crone, A., and Goss, J., 2013, Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 542-558, https://doi.org/10.1785/0120120020.","productDescription":"17 p.","startPage":"542","endPage":"558","ipdsId":"IP-038135","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":267417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Walker Lane","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.28106689453125,\n 39.74943369178247\n ],\n [\n -119.74822998046875,\n 39.74943369178247\n ],\n [\n -119.74822998046875,\n 40.02551125229787\n ],\n [\n -120.28106689453125,\n 40.02551125229787\n ],\n [\n -120.28106689453125,\n 39.74943369178247\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"511e158de4b071e86a19a463","contributors":{"authors":[{"text":"Gold, Ryan","contributorId":97400,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","affiliations":[],"preferred":false,"id":464324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"dePolo, Craig","contributorId":87433,"corporation":false,"usgs":true,"family":"dePolo","given":"Craig","affiliations":[],"preferred":false,"id":464323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":464321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crone, Anthony","contributorId":20624,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","affiliations":[],"preferred":false,"id":464322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goss, John","contributorId":240591,"corporation":false,"usgs":false,"family":"Goss","given":"John","email":"","affiliations":[],"preferred":false,"id":798516,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70055864,"text":"ofr20131139 - 2013 - Hydrothermal alteration maps of the central and southern Basin and Range province of the United States compiled from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data","interactions":[],"lastModifiedDate":"2014-04-08T15:31:01","indexId":"ofr20131139","displayToPublicDate":"2013-01-21T11:54:00","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":"2013-1139","title":"Hydrothermal alteration maps of the central and southern Basin and Range province of the United States compiled from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data","docAbstract":"Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operator algorithms were used to map hydrothermally altered rocks in the central and southern parts of the Basin and Range province of the United States. The hydrothermally altered rocks mapped in this study include (1) hydrothermal silica-rich rocks (hydrous quartz, chalcedony, opal, and amorphous silica), (2) propylitic rocks (calcite-dolomite and epidote-chlorite mapped as separate mineral groups), (3) argillic rocks (alunite-pyrophyllite-kaolinite), and (4) phyllic rocks (sericite-muscovite). A series of hydrothermal alteration maps, which identify the potential locations of hydrothermal silica-rich, propylitic, argillic, and phyllic rocks on Landsat Thematic Mapper (TM) band 7 orthorectified images, and geographic information systems shape files of hydrothermal alteration units are provided in this study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131139","usgsCitation":"Mars, J.L., 2013, Hydrothermal alteration maps of the central and southern Basin and Range province of the United States compiled from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data (Originally posted November 21, 2013; Revised April 8, 2014): U.S. Geological Survey Open-File Report 2013-1139, Report: iv, 6 p.; 13 Maps: 52.00 x 52.00 inches; Downloads Directory, https://doi.org/10.3133/ofr20131139.","productDescription":"Report: iv, 6 p.; 13 Maps: 52.00 x 52.00 inches; Downloads Directory","numberOfPages":"11","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042460","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":279387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131139.jpg"},{"id":279069,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1139/"},{"id":279370,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3d.pdf"},{"id":279371,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3e.pdf"},{"id":279368,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3b.pdf"},{"id":279369,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3c.pdf"},{"id":279372,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3f.pdf"},{"id":279385,"type":{"id":23,"text":"Spatial Data"},"url":"https://mrdata.usgs.gov/surficial-mineralogy/ofr-2013-1139/"},{"id":279360,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2c.pdf"},{"id":279342,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1139/of2013-1139.pdf"},{"id":279358,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2a.pdf"},{"id":279356,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate1.pdf"},{"id":279359,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2b.pdf"},{"id":279367,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3a.pdf"},{"id":279362,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2d.pdf"},{"id":279363,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2e.pdf"},{"id":279365,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2f.pdf"}],"projection":"Universal Transverse Mercator projection, zone 11N","datum":"1927 North American Datum","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ] ] ] } } ] }","edition":"Originally posted November 21, 2013; Revised April 8, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528f53ffe4b0660d392bedf5","contributors":{"authors":[{"text":"Mars, John L. jmars@usgs.gov","contributorId":3428,"corporation":false,"usgs":true,"family":"Mars","given":"John","email":"jmars@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":486267,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159359,"text":"70159359 - 2013 - Metadata squared: enhancing its usability for volunteered geographic information and the GeoWeb","interactions":[],"lastModifiedDate":"2015-10-22T17:58:21","indexId":"70159359","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Metadata squared: enhancing its usability for volunteered geographic information and the GeoWeb","docAbstract":"The Internet has brought many changes to the way geographic information is created and shared. One aspect that has not changed is metadata. Static spatial data quality descriptions were standardized in the mid-1990s and cannot accommodate the current climate of data creation where nonexperts are using mobile phones and other location-based devices on a continuous basis to contribute data to Internet mapping platforms. The usability of standard geospatial metadata is being questioned by academics and neogeographers alike. This chapter analyzes current discussions of metadata to demonstrate how the media shift that is occurring has affected requirements for metadata. Two case studies of metadata use are presented—online sharing of environmental information through a regional spatial data infrastructure in the early 2000s, and new types of metadata that are being used today in OpenStreetMap, a map of the world created entirely by volunteers. Changes in metadata requirements are examined for usability, the ease with which metadata supports coproduction of data by communities of users, how metadata enhances findability, and how the relationship between metadata and data has changed. We argue that traditional metadata associated with spatial data infrastructures is inadequate and suggest several research avenues to make this type of metadata more interactive and effective in the GeoWeb.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Crowdsourcing geographic knowledge volunteered geographic information (VGI) in theory and practice","language":"English","publisher":"Springer","publisherLocation":"Dordrecht; New York","doi":"10.1007/978-94-007-4587-2_4","usgsCitation":"Poore, B.S., and Wolf, E.B., 2013, Metadata squared: enhancing its usability for volunteered geographic information and the GeoWeb, chap. of Crowdsourcing geographic knowledge volunteered geographic information (VGI) in theory and practice, p. 43-64, https://doi.org/10.1007/978-94-007-4587-2_4.","productDescription":"21 p.","startPage":"43","endPage":"64","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":310571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-06-29","publicationStatus":"PW","scienceBaseUri":"562a08d9e4b011227bf1fd91","contributors":{"editors":[{"text":"Sui, Daniel Z.","contributorId":149381,"corporation":false,"usgs":false,"family":"Sui","given":"Daniel","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":578216,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Elwood, Sarah","contributorId":149382,"corporation":false,"usgs":false,"family":"Elwood","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":578217,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Goodchild, Michael F.","contributorId":149383,"corporation":false,"usgs":false,"family":"Goodchild","given":"Michael","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":578218,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Poore, Barbara S. bspoore@usgs.gov","contributorId":2541,"corporation":false,"usgs":true,"family":"Poore","given":"Barbara","email":"bspoore@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":578214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolf, Eric B. ebwolf@usgs.gov","contributorId":4535,"corporation":false,"usgs":true,"family":"Wolf","given":"Eric","email":"ebwolf@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":578215,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046264,"text":"70046264 - 2013 - Trends in landscape and vegetation change and implications for the Santa Cruz Watershed","interactions":[],"lastModifiedDate":"2017-04-25T09:54:37","indexId":"70046264","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Trends in landscape and vegetation change and implications for the Santa Cruz Watershed","docAbstract":"Monitoring and characterizing the interactive effects of land use and climate on land surface processes is a primary focus of land change science, and of particular concern in arid Wells Distribution in Shallow Groundwater Areas Pumping Trends Increase Streamflow Extent Declines 27 environments where both landscapes and livelihoods can be impacted by short-term climate variability. Using a multi-observational approach to land-change analysis that included landownership data as a proxy for land-use practices, multitemporal land-cover maps, and repeat photography dating to the late 19th century, we examine changing spatial and temporal distributions of two vegetation types with high conservation value in the southwestern United States: grasslands and riparian vegetation. Our study area is the bi-national Santa Cruz Watershed, a topographically complex watershed that straddles the Sonoran Desert and the Madrean Archipelago Ecoregions. In this presentation we focus on historical changes in vegetation and land use in grasslands and riparian areas of the Madrean Ecoregion (San Raphael Valley, Cienega Creek, Sonoita), and compare changes in these areas to changes in the warmer and drier Sonoran Ecoregion. Analysis of historical photography confirms major 20th century vegetation shifts documented in other research: woody plant encroachment, desertification of grasslands, and changing riparian and xeroriparian vegetation occurred in both ecoregions following human settlement. However, vegetation changes over the past decade appear to be more subtle and some of the past trajectories appear to be reversing; most notable are recent mesquite declines in xeroriparian and upland areas, and changes from shrubland to grassland area in the Madrean ecoregion. Land cover changes were temporally variable, reflecting broad climate changes. The most dynamic cover changes occurred during the period from 1989 to 1999, a period with two intense droughts. The degree of vegetation change driven by climate was related to topographic setting: vegetation declines were greater per unit area in the lower elevation Sonoran ecoregion where temperatures are higher and precipitation lower than in the Madrean. Fine-scale changes within these broad climate patterns were likely the result of land use practices: declines were highest on state lands (grazing) and increases highest on private ranches and some federal lands (active mesquite removal and watershed restoration).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Science on the Sonoita Plain Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Science on the Sonoita Plain Symposium 2013","conferenceDate":"June 8, 2013","conferenceLocation":"Elgin, AZ","language":"English","usgsCitation":"Villarreal, M.L., Norman, L.M., Webb, R.H., and Turner, R., 2013, Trends in landscape and vegetation change and implications for the Santa Cruz Watershed, 3 p.","productDescription":"3 p.","startPage":"26","endPage":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046117","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":340234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006067e4b0e85db3a5de0d","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":692720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":692721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":141216,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"rhwebb@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":692722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Raymond M.","contributorId":7383,"corporation":false,"usgs":true,"family":"Turner","given":"Raymond M.","affiliations":[],"preferred":false,"id":692723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159519,"text":"ofr20131280H1 - 2012 - Mineral potential tracts for orogenic, Carlin-like, and epithermal gold deposits in the Islamic Republic of Mauritania, (phase V, deliverable 68): Chapter H1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","interactions":[{"subject":{"id":70159519,"text":"ofr20131280H1 - 2012 - Mineral potential tracts for orogenic, Carlin-like, and epithermal gold deposits in the Islamic Republic of Mauritania, (phase V, deliverable 68): Chapter H1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","indexId":"ofr20131280H1","publicationYear":"2012","noYear":false,"chapter":"H1","title":"Mineral potential tracts for orogenic, Carlin-like, and epithermal gold deposits in the Islamic Republic of Mauritania, (phase V, deliverable 68): Chapter H1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":1}],"isPartOf":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"lastModifiedDate":"2016-03-21T11:48:13","indexId":"ofr20131280H1","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1280","chapter":"H1","title":"Mineral potential tracts for orogenic, Carlin-like, and epithermal gold deposits in the Islamic Republic of Mauritania, (phase V, deliverable 68): Chapter H1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","docAbstract":"In 1996, at the request of the Government of the Islamic Republic of Mauritania, a team of U.S. Geological Survey (USGS) scientists produced a strategic plan for the acquisition, improvement and modernization of multidisciplinary sets of data to support the growth of the Mauritanian minerals sector and to highlight the geological and mineral exploration potential of the country. In 1999, the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania implemented a program for the acquisition of the recommended basic geoscientific information, termed the first Projet de Renforcement Institutionnel du Secteur Minier (Project for Institutional Capacity Building in the Mining Sector, PRISM-I). As a result of the PRISM-I efforts, a great deal of new geological, geophysical, geochemical, remote sensing, and hydrological data became available for evaluation and synthesis. However, the Ministry of Petroleum, Energy, and Mines recognized that additional work was required to extract the full benefit of the data before it could be of greatest use to the international community and of benefit to the Mauritanian minerals and development sector.
\nTo achieve this benefit, the Ministry of Petroleum, Energy, and Mines implemented a second Projet de Renforcement Institutionnel du Secteur Minier (PRISM-II) in 2006 to consolidate, synthesize, and interpret all of the existing data, create a new 1:1,000,000 scale geologic map, and define the mineral resource potential of the country. A consortium in which the USGS was the lead scientific agency carried out the majority of the PRISM-II work. In 2008, the USGS Mauritania Minerals Project was interrupted due to political changes in Mauritania. PRISM-II work resumed in 2011, and was completed in 2013 with the delivery of over 40 separate written reports and plates, an access file containing the Mauritanian National Mineral Deposits Database, and an interactive GIS containing all of the multi-disciplinary data and interpretive areas of mineral resource potential in Mauritania.
\nThis report contains the USGS results of the PRISM-II Mauritania Minerals Project and is presented in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania. The Report is composed of separate chapters consisting of multidisciplinary interpretive reports with accompanying plates on the geology, structure, geochronology, geophysics, hydrogeology, geochemistry, remote sensing (Landsat TM and ASTER), and SRTM and ASTER digital elevation models of Mauritania. The syntheses of these multidisciplinary data formed the basis for additional chapters containing interpretive reports on 12 different commodities and deposit types known to occur in Mauritania, accompanied by countrywide mineral resource potential maps of each commodity/deposit type. The commodities and deposit types represented include: (1) Ni, Cu, PGE, and Cr deposits hosted in ultramafic rocks; (2) orogenic, Carlin-like, and epithermal gold deposits; (3) polymetallic Pb-Zn-Cu vein deposits; (4) sediment-hosted Pb-Zn-Ag deposits of the SEDEX and Mississippi Valley-type; (5) sediment-hosted copper deposits; ( 6) volcanogenic massive sulfide deposits; (7) iron oxide copper-gold deposits; (8) uranium deposits; (9) Algoma-, Superior-, and oolitic-type iron deposits; (10) shoreline Ti-Zr placer deposits; (11) incompatible element deposits hosted in pegmatites, alkaline rocks, and carbonatites, and; (12) industrial mineral deposits. Additional chapters include the Mauritanian National Mineral Deposits Database are accompanied by an explanatory text and the Mauritania Minerals Project GIS that contains all of the interpretive layers created by USGS scientists. Raw data not in the public domain may be obtained from the Ministry of Petroleum, Energy, and Mines in Nouakchott, Mauritania.
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