{"pageNumber":"566","pageRowStart":"14125","pageSize":"25","recordCount":46681,"records":[{"id":70047522,"text":"ds782 - 2013 - Locations and attributes of wind turbines in Colorado, 2011","interactions":[],"lastModifiedDate":"2013-08-08T12:42:22","indexId":"ds782","displayToPublicDate":"2013-08-08T12:32:00","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":"782","title":"Locations and attributes of wind turbines in Colorado, 2011","docAbstract":"This dataset represents an update to U.S. Geological Survey Data Series 597. Locations and attributes of wind turbines in Colorado, 2009 (available at http://pubs.usgs.gov/ds/597/). This updated Colorado wind turbine Data Series provides geospatial data for all 1,204 wind turbines established within the State of Colorado as of September 2011, an increase of 297 wind turbines from 2009.\n\nAttributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of the wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of turbines associated with each facility to date, facility developer, facility ownership, and year the facility went online. The locations of turbines are derived from 1-meter true-color aerial photographs produced by the National Agriculture Imagery Program (NAIP); the photographs have a positional accuracy of about ±5 meters. Locations of turbines constructed during or prior to August 2009 are based on August 2009 NAIP imagery and turbine locations constructed after August 2009 were based on September 2011 NAIP imagery. The location of turbines under construction during September 2011 likely will be less accurate than the location of existing turbines.\n\nThis data series contributes to an Online Interactive Energy Atlas developed by the U.S. Geological Survey (http://my.usgs.gov/eerma/). The Energy Atlas synthesizes data on existing and potential energy development in Colorado and New Mexico and includes additional natural resource data layers. This information may be used by decisionmakers to evaluate and compare the potential benefits and tradeoffs associated with different energy development strategies or scenarios. Interactive maps, downloadable data layers, comprehensive metadata, and decision-support tools also are included in the Energy Atlas. The format of the Energy Atlas is designed to facilitate the integration of information about energy with key terrestrial and aquatic resources for evaluating resource values and minimizing risks from energy development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds782","usgsCitation":"Carr, N.B., Diffendorfer, J., Fancher, T.S., Hawkins, S.J., Latysh, N., Leib, K.J., and Matherne, A.M., 2013, Locations and attributes of wind turbines in Colorado, 2011: U.S. Geological Survey Data Series 782, 2 p.; Downloads Directory, https://doi.org/10.3133/ds782.","productDescription":"2 p.; Downloads Directory","numberOfPages":"2","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":276217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds782.png"},{"id":276214,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/782/"},{"id":276215,"type":{"id":1,"text":"Abstract"},"url":"https://pubs.usgs.gov/ds/782/pdf/DS782_abstract-508.pdf"},{"id":276216,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/782/downloads/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,36.99 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,36.99 ], [ -109.06,36.99 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afd9e4b0403aa62629ae","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":482251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"preferred":true,"id":482249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":482248,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482247,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047519,"text":"70047519 - 2013 - Using multi-species occupancy models in structured decision making on managed lands","interactions":[],"lastModifiedDate":"2013-08-08T12:20:21","indexId":"70047519","displayToPublicDate":"2013-08-08T12:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Using multi-species occupancy models in structured decision making on managed lands","docAbstract":"Land managers must balance the needs of a variety of species when manipulating habitats.  Structured decision making provides a systematic means of defining choices and choosing among alternative management options; implementation of a structured decision requires quantitative approaches to predicting consequences of management on the relevant species.  Multi-species occupancy models provide a convenient framework for making structured decisions when the management objective is focused on a collection of species.  These models use replicate survey data that are often collected on managed lands.  Occupancy can be modeled for each species as a function of habitat and other environmental features, and Bayesian methods allow for estimation and prediction of collective responses of groups of species to alternative scenarios of habitat management.  We provide an example of this approach using data from breeding bird surveys conducted in 2008 at the Patuxent Research Refuge in Laurel, Maryland, evaluating the effects of eliminating meadow and wetland habitats on scrub-successional and woodland-breeding bird species using summed total occupancy of species as an objective function.  Removal of meadows and wetlands decreased value of an objective function based on scrub-successional species by 23.3% (95% CI: 20.3–26.5), but caused only a 2% (0.5, 3.5) increase in value of an objective function based on woodland species, documenting differential effects of elimination of meadows and wetlands on these groups of breeding birds.  This approach provides a useful quantitative tool for managers interested in structured decision making.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.442","usgsCitation":"Sauer, J., Blank, P.J., Zipkin, E., Fallon, J.E., and Fallon, F.W., 2013, Using multi-species occupancy models in structured decision making on managed lands: Journal of Wildlife Management, v. 77, no. 1, p. 117-127, https://doi.org/10.1002/jwmg.442.","productDescription":"11 p.","startPage":"117","endPage":"127","numberOfPages":"11","ipdsId":"IP-037742","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":276213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276212,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.442"}],"country":"United States","state":"Maryl","otherGeospatial":"Patuxent Research Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.832224,39.0082 ], [ -76.832224,39.092594 ], [ -76.720767,39.092594 ], [ -76.720767,39.0082 ], [ -76.832224,39.0082 ] ] ] } } ] }","volume":"77","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-20","publicationStatus":"PW","scienceBaseUri":"5204afdbe4b0403aa62629c6","contributors":{"authors":[{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":482237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blank, Peter J.","contributorId":97396,"corporation":false,"usgs":true,"family":"Blank","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482241,"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":482239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fallon, Jane E. jefallon@usgs.gov","contributorId":4364,"corporation":false,"usgs":true,"family":"Fallon","given":"Jane","email":"jefallon@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":482238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fallon, Frederick W.","contributorId":87448,"corporation":false,"usgs":true,"family":"Fallon","given":"Frederick","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482240,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046523,"text":"70046523 - 2013 - Impacts of an ethanol-blended fuel release on groundwater and fate of produced methane: simulation of field observations","interactions":[],"lastModifiedDate":"2019-08-06T15:12:43","indexId":"70046523","displayToPublicDate":"2013-08-07T13:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of an ethanol-blended fuel release on groundwater and fate of produced methane: simulation of field observations","docAbstract":"In a field experiment at Vandenberg Air Force Base (VAFB) designed to mimic the impact of a small-volume release of E10 (10% ethanol and 90% conventional gasoline), two plumes were created by injecting extracted groundwater spiked with benzene, toluene, and o-xylene, abbreviated BToX (No-Ethanol Lane) and BToX plus ethanol (With-Ethanol Lane) for 283 days. We developed a reactive transport model to understand processes controlling the fate of ethanol and BToX. The model was calibrated to the extensive field dataset and accounted for concentrations of sulfate, iron, acetate, and methane along with iron-reducing bacteria, sulfate-reducing bacteria, fermentative bacteria, and methanogenic archaea. The benzene plume was about 4.5 times longer in the With-Ethanol Lane than in the No-Ethanol Lane. Matching this different behavior in the two lanes required inhibiting benzene degradation in the presence of ethanol. Inclusion of iron reduction with negligible growth of iron-reducers was required to reproduce the observed constant degradation rate of benzene. Modeling suggested that vertical dispersion and diffusion of sulfate from an adjacent aquitard were important sources of sulfate in the aquifer. Matching of methane data required incorporating initial fermentation of ethanol to acetate, methane loss by outgassing, and methane oxidation coupled to sulfate and iron reduction. Simulation of microbial growth using dual Monod kinetics, and including inhibition by more favorable electron acceptors, generally resulted in reasonable yields for microbial growth of 0.01-0.05.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/wrcr.20382","usgsCitation":"Rasa, E., Bekins, B.A., Mackay, D.M., de Sieyes, N.R., Wilson, J., Feris, K.P., Wood, I.A., and Scow, K.M., 2013, Impacts of an ethanol-blended fuel release on groundwater and fate of produced methane: simulation of field observations: Water Resources Research, v. 49, no. 8, p. 4907-4926, https://doi.org/10.1002/wrcr.20382.","productDescription":"20 p.","startPage":"4907","endPage":"4926","numberOfPages":"20","ipdsId":"IP-046344","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473604,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.boisestate.edu/bio_facpubs/375","text":"External Repository"},{"id":276756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275502,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20382"}],"country":"United States","state":"California","otherGeospatial":"Vandenberg Air Force Base","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.573763,34.702001 ], [ -120.573763,34.783787 ], [ -120.455249,34.783787 ], [ -120.455249,34.702001 ], [ -120.573763,34.702001 ] ] ] } } ] }","volume":"49","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-07","publicationStatus":"PW","scienceBaseUri":"52136e35e4b0b08f446198f8","contributors":{"authors":[{"text":"Rasa, Ehsan","contributorId":20461,"corporation":false,"usgs":true,"family":"Rasa","given":"Ehsan","email":"","affiliations":[],"preferred":false,"id":479752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":479750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mackay, Douglas M.","contributorId":22081,"corporation":false,"usgs":true,"family":"Mackay","given":"Douglas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Sieyes, Nicholas R.","contributorId":57358,"corporation":false,"usgs":true,"family":"de Sieyes","given":"Nicholas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":479755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, John T.","contributorId":217913,"corporation":false,"usgs":false,"family":"Wilson","given":"John T.","affiliations":[],"preferred":false,"id":767798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feris, Kevin P.","contributorId":51188,"corporation":false,"usgs":true,"family":"Feris","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":479754,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Isaac A.","contributorId":62514,"corporation":false,"usgs":true,"family":"Wood","given":"Isaac","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479756,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scow, Kate M.","contributorId":100519,"corporation":false,"usgs":true,"family":"Scow","given":"Kate","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479757,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047472,"text":"70047472 - 2013 - Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains","interactions":[],"lastModifiedDate":"2013-08-07T10:38:31","indexId":"70047472","displayToPublicDate":"2013-08-07T10:26:13","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1012,"text":"Biogeosciences Discussions","active":true,"publicationSubtype":{"id":10}},"title":"Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains","docAbstract":"Forests play an important role in sequestering carbon and offsetting anthropogenic greenhouse gas emissions, but changing disturbance regimes may compromise the capability of forests to store carbon. In the Southern Rocky Mountains, a recent outbreak of mountain pine beetle (Dendroctonus ponderosae; MPB) has caused levels of tree mortality that are unprecedented in recorded history. To evaluate the long-term impacts of both this insect outbreak and another characteristic disturbance in these forests, high-severity wildfire, we simulated potential changes in species composition and carbon stocks using the Forest Vegetation Simulator (FVS). Simulations were completed for 3 scenarios (no disturbance, actual MPB infestation, and modeled wildfire) using field data collected in 2010 at 97 plots in the lodgepole pine-dominated forests of eastern Grand County, Colorado, which were heavily impacted by MPB after 2002. Results of the simulations showed that (1) lodgepole pine remained dominant over time in all scenarios, with basal area recovering to pre-disturbance levels 70–80 yr after disturbance; (2) wildfire caused a greater magnitude of change than did MPB in both patterns of succession and distribution of carbon among biomass pools; (3) levels of standing-live carbon returned to pre-disturbance conditions after 40 vs. 50 yr following MPB vs. wildfire disturbance, respectively, but took 120 vs. 150 yr to converge with conditions in the undisturbed scenario. Lodgepole pine forests appear to be relatively resilient to both of the disturbances we modeled, although changes in climate, future disturbance regimes, and other factors may significantly affect future rates of regeneration and ecosystem response.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences Discussions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/bgd-10-12919-2013","usgsCitation":"Caldwell, M.K., Hawbaker, T., Briggs, J.S., Cigan, P., and Stitt, S., 2013, Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains: Biogeosciences Discussions, v. 10, p. 12919-12965, https://doi.org/10.5194/bgd-10-12919-2013.","productDescription":"47 p.","startPage":"12919","endPage":"12965","ipdsId":"IP-049240","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473605,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bgd-10-12919-2013","text":"Publisher Index Page"},{"id":276157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276156,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bgd-10-12919-2013"},{"id":276152,"type":{"id":15,"text":"Index Page"},"url":"https://www.biogeosciences-discuss.net/10/12919/2013/bgd-10-12919-2013.html"}],"otherGeospatial":"Rocky Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.5,29.1 ], [ -127.5,59.6 ], [ -102.4,59.6 ], [ -102.4,29.1 ], [ -127.5,29.1 ] ] ] } } ] }","volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a33fe4b02bdb1bc63f6c","contributors":{"authors":[{"text":"Caldwell, Megan K. mcaldwell@usgs.gov","contributorId":4243,"corporation":false,"usgs":true,"family":"Caldwell","given":"Megan","email":"mcaldwell@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":482132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":482129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Jenny S. 0000-0001-7454-6928 jsbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-7454-6928","contributorId":3087,"corporation":false,"usgs":true,"family":"Briggs","given":"Jenny","email":"jsbriggs@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":482131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cigan, P.W.","contributorId":32071,"corporation":false,"usgs":true,"family":"Cigan","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":482133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stitt, Susan susan_stitt@usgs.gov","contributorId":1410,"corporation":false,"usgs":true,"family":"Stitt","given":"Susan","email":"susan_stitt@usgs.gov","affiliations":[],"preferred":true,"id":482130,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047457,"text":"70047457 - 2013 - Summary of the Third International Planetary Dunes Workshop: remote sensing and image analysis of planetary dunes","interactions":[],"lastModifiedDate":"2013-08-07T10:41:18","indexId":"70047457","displayToPublicDate":"2013-08-07T10:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Summary of the Third International Planetary Dunes Workshop: remote sensing and image analysis of planetary dunes","docAbstract":"The Third International Planetary Dunes Workshop took place in Flagstaff, AZ, USA during June 12–15, 2012. This meeting brought together a diverse group of researchers to discuss recent advances in terrestrial and planetary research on aeolian bedforms. The workshop included two and a half days of oral and poster presentations, as well as one formal (and one informal) full-day field trip. Similar to its predecessors, the presented work provided new insight on the morphology, dynamics, composition, and origin of aeolian bedforms on Venus, Earth, Mars, and Titan, with some intriguing speculation about potential aeolian processes on Triton (a satellite of Neptune) and Pluto. Major advancements since the previous International Planetary Dunes Workshop include the introduction of several new data analysis and numerical tools and utilization of low-cost field instruments (most notably the time-lapse camera). Most presentations represented advancement towards research priorities identified in both of the prior two workshops, although some previously recommended research approaches were not discussed. In addition, this workshop provided a forum for participants to discuss the uncertain future of the Planetary Aeolian Laboratory; subsequent actions taken as a result of the decisions made during the workshop may lead to an expansion of funding opportunities to use the facilities, as well as other improvements. The interactions during this workshop contributed to the success of the Third International Planetary Dunes Workshop, further developing our understanding of aeolian processes on the aeolian worlds of the Solar System.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aeolian Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2012.10.006","usgsCitation":"Fenton, L.K., Hayward, R., Horgan, B.H., Rubin, D.M., Titus, T.N., Bishop, M.A., Burr, D.M., Chojnacki, M., Dinwiddie, C., Kerber, L., Gall, A.L., Michaels, T.I., Neakrase, L., Newman, C.E., Tirsch, D., Yizhaq, H., and Zimbelman, J., 2013, Summary of the Third International Planetary Dunes Workshop: remote sensing and image analysis of planetary dunes: Aeolian Research, v. 8, p. 29-38, https://doi.org/10.1016/j.aeolia.2012.10.006.","productDescription":"10 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,{"id":70047470,"text":"sir20125097 - 2013 - Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado","interactions":[],"lastModifiedDate":"2013-08-07T08:06:30","indexId":"sir20125097","displayToPublicDate":"2013-08-07T07:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5097","title":"Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado","docAbstract":"The U.S. Department of Agriculture Forest Service has identified hazard concerns for areas downstream from five Colorado dams on Forest Service land. In 2009, the U.S. Geological Survey, in cooperation with the Forest Service, initiated a flood hydrology analysis to estimate the areal extent of potential downstream flood inundation and hazard to downstream life, property, and infrastructure if dam breach occurs. Readily available information was used for dam-breach assessments of five small Colorado reservoirs (Balman Reservoir, Crystal Lake, Manitou Park Lake, McGinnis Lake, and Million Reservoir) that are impounded by an earthen dam, and no new data were collected for hydraulic modeling. For each reservoir, two dam-breach scenarios were modeled: (1) the dam is overtopped but does not fail (break), and (2) the dam is overtopped and dam-break occurs. The dam-breach scenarios were modeled in response to the 100-year recurrence, 500-year recurrence, and the probable maximum precipitation, 24-hour duration rainstorms to predict downstream flooding. For each dam-breach and storm scenario, a flood inundation map was constructed to estimate the extent of flooding in areas of concern downstream from each dam. Simulation results of the dam-break scenarios were used to determine the hazard classification of the dam structure (high, significant, or low), which is primarily based on the potential for loss of life and property damage resulting from the predicted downstream flooding.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125097","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Forest Service","usgsCitation":"Stevens, M.R., and Hoogestraat, G., 2013, Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado: U.S. Geological Survey Scientific Investigations Report 2012-5097, vi, 24 p.; Downloads Directory, https://doi.org/10.3133/sir20125097.","productDescription":"vi, 24 p.; Downloads Directory","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":276142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125097.gif"},{"id":276143,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5097/"},{"id":276144,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5097/pdf/sir2012-5097.pdf"},{"id":276145,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5097/downloads/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0,36.0 ], [ -111.0,42.0 ], [ -99,0,42.0 ], [ -99,0,36.0 ], [ -111.0,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a33fe4b02bdb1bc63f64","contributors":{"authors":[{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogestraat, Galen K.","contributorId":22442,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen K.","affiliations":[],"preferred":false,"id":482128,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047433,"text":"70047433 - 2013 - Adaptation to climate change: changes in farmland use and stocking rate in the U.S.","interactions":[],"lastModifiedDate":"2013-08-06T08:27:21","indexId":"70047433","displayToPublicDate":"2013-08-06T08:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2764,"text":"Mitigation and Adaptation Strategies for Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Adaptation to climate change: changes in farmland use and stocking rate in the U.S.","docAbstract":"This paper examines possible adaptations to climate change in terms of pasture and crop land use and stocking rate in the United States (U.S.). Using Agricultural Census and climate data in a statistical model, we find that as temperature and precipitation increases agricultural commodity producers respond by reducing crop land and increasing pasture land. In addition, cattle stocking rate decreases as the summer Temperature-humidity Index (THI) increases and summer precipitation decreases. Using the statistical model with climate data from four General Circulation Models (GCMs), we project that land use shifts from cropping to grazing and the stocking rate declines, and these adaptations are more pronounced in the central and the southeast regions of the U.S. Controlling for other farm production variables, crop land decreases by 6 % and pasture land increases by 33 % from the baseline. Correspondingly, the associated economic impact due to adaptation is around -14 and 29 million dollars to crop producers and pasture producers by the end of this century, respectively. The national and regional results have implications for farm programs and subsidy policies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mitigation and Adaptation Strategies for Global Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11027-012-9384-4","usgsCitation":"Mu, J.E., McCarl, B.A., and Wein, A., 2013, Adaptation to climate change: changes in farmland use and stocking rate in the U.S.: Mitigation and Adaptation Strategies for Global Change, v. 18, no. 6, p. 713-730, https://doi.org/10.1007/s11027-012-9384-4.","productDescription":"18 p.","startPage":"713","endPage":"730","numberOfPages":"18","ipdsId":"IP-037256","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":276090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276089,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11027-012-9384-4"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.53,25.06 ], [ -124.53,49.08 ], [ -66.95,49.08 ], [ -66.95,25.06 ], [ -124.53,25.06 ] ] ] } } ] }","volume":"18","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-05-24","publicationStatus":"PW","scienceBaseUri":"52020cd2e4b0e21cafa49bfb","contributors":{"authors":[{"text":"Mu, Jianhong E.","contributorId":75840,"corporation":false,"usgs":true,"family":"Mu","given":"Jianhong","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarl, Bruce A.","contributorId":58173,"corporation":false,"usgs":true,"family":"McCarl","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wein, Anne M.","contributorId":12007,"corporation":false,"usgs":true,"family":"Wein","given":"Anne M.","affiliations":[],"preferred":false,"id":482029,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174266,"text":"70174266 - 2013 - Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado","interactions":[],"lastModifiedDate":"2016-07-06T17:02:25","indexId":"70174266","displayToPublicDate":"2013-08-06T01:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\">\n<p id=\"p-1\">Advancements in aeromagnetic acquisition technology over the past few decades have led to greater resolution of shallow geologic sources with low magnetization, such as intrasedimentary faults and paleochannels. Detection and mapping of intrasedimentary faults in particular can be important for understanding the overall structural setting of an area, even if exploration targets are much deeper. Aeromagnetic methods are especially useful for mapping structures in mountain-piedmont areas at the margins of structural basins, where mineral exploration and seismic-hazard studies may be focused, and where logistical or data-quality issues encumber seismic methods. Understanding if the sources of aeromagnetic anomalies in this context originate from sedimentary units or bedrock is important for evaluating basin structure and/or depth to shallow exploration targets.</p>\n</div>\n<p id=\"p-2\">Advancements in aeromagnetic acquisition technology over the past few decades have led to greater resolution of shallow geologic sources with low magnetization, such as intrasedimentary faults and paleochannels. Detection and mapping of intrasedimentary faults in particular can be important for understanding the overall structural setting of an area, even if exploration targets are much deeper. Aeromagnetic methods are especially useful for mapping structures in mountain-piedmont areas at the margins of structural basins, where mineral exploration and seismic-hazard studies may be focused, and where logistical or data-quality issues encumber seismic methods. Understanding if the sources of aeromagnetic anomalies in this context originate from sedimentary units or bedrock is important for evaluating basin structure and/or depth to shallow exploration targets.</p>\n<p id=\"p-3\">Although explorationists have surmised that subtle, narrow, linear aeromagnetic anomalies or gradients are caused by intrasedimentary faults, the nature of the magnetic sources has been debated. A common and intuitive explanation for the linear anomalies considers that the magnetic properties of the fault zone have been altered by secondary chemical processes, either through the growth or destruction of magnetic minerals. However, comprehensive, multidisciplinary studies of partially exposed intrasedimentary faults in basins within the central Rio Grande Rift, New Mexico, have shown that the anomalies can be completely explained by the tectonic juxtaposition of strata of differing magnetic properties at the fault (summarized in <a id=\"xref-ref-7-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-7\">Grauch and Hudson, 2007</a>, <a id=\"xref-ref-8-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-8\">2011</a>). Whereas a reduction in magnetic susceptibility was detected at some fault zones in the laboratory, the slight reduction and small volume of material affected were insufficient to produce aeromagnetic anomalies (<a id=\"xref-ref-12-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-12\">Hudson et al., 2008</a>).</p>\n<p id=\"p-4\">A key finding of the studies summarized by <a id=\"xref-ref-7-2\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-7\">Grauch and Hudson (2007</a>, <a id=\"xref-ref-8-2\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-8\">2011</a>) is that multiple magnetic contrasts (sources) can be vertically stacked at one fault. This situation requires rethinking of common assumptions when modeling faults as simple steps or when interpreting depth-estimation results. The multiple contrasts in these case studies arise from the tectonic juxtaposition of stratified sediments with differing magnetic properties. Multiple, vertically stacked magnetic sources also can occur where volcanic layers are interbedded with the sedimentary section or where faults offset both shallow bedrock and its overlying sedimentary cover. The latter situation is common at basin margins.</p>\n<p id=\"p-5\">Herein, we summarize and expand on an investigation of the sources of aeromagnetic anomalies related to faults along the eastern margin of the San Luis Basin, northern Rio Grande Rift, Colorado (<a id=\"xref-ref-6-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-6\">Grauch et al., 2010</a>). Similar to the faults examined in the central Rio Grande Rift, magnetic sources can be completely explained by tectonic juxtaposition and produce multiple, vertically stacked magnetic contrasts at individual faults. However, the geologic sources are different. They arise from both the sedimentary cover and the underlying bedrock rather than from stratified sediments. In addition, geologic evidence for secondary growth or destruction of magnetic minerals at the fault zone is lacking.</p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle32080882.1","usgsCitation":"Grauch, V.J., Bedrosian, P.A., and Drenth, B.J., 2013, Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado: The Leading Edge, v. 32, no. 8, p. 882-891, https://doi.org/10.1190/tle32080882.1.","productDescription":"10 p.","startPage":"882","endPage":"891","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044990","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":324783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Luis Basin","geographicExtents":"{\n  \"type\": 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,{"id":70047430,"text":"70047430 - 2013 - The LANDFIRE Refresh strategy: updating the national dataset","interactions":[],"lastModifiedDate":"2013-08-05T16:15:14","indexId":"70047430","displayToPublicDate":"2013-08-05T16:11:37","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The LANDFIRE Refresh strategy: updating the national dataset","docAbstract":"The LANDFIRE Program provides comprehensive vegetation and fuel datasets for the entire United States. As with many large-scale ecological datasets, vegetation and landscape conditions must be updated periodically to account for disturbances, growth, and natural succession. The LANDFIRE Refresh effort was the first attempt to consistently update these products nationwide. It incorporated a combination of specific systematic improvements to the original LANDFIRE National data, remote sensing based disturbance detection methods, field collected disturbance information, vegetation growth and succession modeling, and vegetation transition processes. This resulted in the creation of two complete datasets for all 50 states: LANDFIRE Refresh 2001, which includes the systematic improvements, and LANDFIRE Refresh 2008, which includes the disturbance and succession updates to the vegetation and fuel data. The new datasets are comparable for studying landscape changes in vegetation type and structure over a decadal period, and provide the most recent characterization of fuel conditions across the country. The applicability of the new layers is discussed and the effects of using the new fuel datasets are demonstrated through a fire behavior modeling exercise using the 2011 Wallow Fire in eastern Arizona as an example.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fire Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Association for Fire Ecology","doi":"10.4996/fireecology.0902080","usgsCitation":"Nelson, K., Connot, J.A., Peterson, B.E., and Martin, C., 2013, The LANDFIRE Refresh strategy: updating the national dataset: Fire Ecology, v. 9, no. 2, p. 80-101, https://doi.org/10.4996/fireecology.0902080.","productDescription":"22 p.","startPage":"80","endPage":"101","ipdsId":"IP-045102","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.0902080","text":"Publisher Index Page"},{"id":276080,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4996/fireecology.0902080"},{"id":276081,"type":{"id":15,"text":"Index Page"},"url":"https://fireecology.org/journal/abstract/?abstract=195"},{"id":276085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"5200bb5ae4b009d47a4c2349","contributors":{"authors":[{"text":"Nelson, Kurtis J. 0000-0003-4911-4511","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":105629,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis J.","affiliations":[],"preferred":false,"id":482023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connot, Joel A. 0000-0002-2556-3374 jconnot@usgs.gov","orcid":"https://orcid.org/0000-0002-2556-3374","contributorId":4436,"corporation":false,"usgs":true,"family":"Connot","given":"Joel","email":"jconnot@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Birgit E. 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":3599,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Charley chmartin@usgs.gov","contributorId":4544,"corporation":false,"usgs":true,"family":"Martin","given":"Charley","email":"chmartin@usgs.gov","affiliations":[],"preferred":true,"id":482022,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","interactions":[{"subject":{"id":70044524,"text":"pp1798B - 2013 - General weather conditions and precipitation contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins, December 2010 through July 2011","indexId":"pp1798B","publicationYear":"2013","noYear":false,"chapter":"B","title":"General weather conditions and precipitation contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins, December 2010 through July 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1},{"subject":{"id":70046073,"text":"pp1798C - 2013 - Peak streamflows and runoff volumes for the Central United States, February through September, 2011","indexId":"pp1798C","publicationYear":"2013","noYear":false,"chapter":"C","title":"Peak streamflows and runoff volumes for the Central United States, February through September, 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":2},{"subject":{"id":70046242,"text":"pp1798E - 2013 - Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri","indexId":"pp1798E","publicationYear":"2013","noYear":false,"chapter":"E","title":"Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":3},{"subject":{"id":70049013,"text":"pp1798F - 2013 - Sediment transport and deposition in the lower Missouri River during the 2011 flood","indexId":"pp1798F","publicationYear":"2013","noYear":false,"chapter":"F","title":"Sediment transport and deposition in the lower Missouri River during the 2011 flood"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":4},{"subject":{"id":70055532,"text":"pp1798G - 2013 - Occurrence and transport of nutrients in the Missouri River Basin, April through September 2011","indexId":"pp1798G","publicationYear":"2013","noYear":false,"chapter":"G","title":"Occurrence and transport of nutrients in the Missouri River Basin, April through September 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":5},{"subject":{"id":70073852,"text":"pp1798D - 2014 - Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods","indexId":"pp1798D","publicationYear":"2014","noYear":false,"chapter":"D","title":"Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":6},{"subject":{"id":70095112,"text":"pp1798H - 2014 - Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods","indexId":"pp1798H","publicationYear":"2014","noYear":false,"chapter":"H","title":"Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":7},{"subject":{"id":70103403,"text":"pp1798J - 2014 - Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin","indexId":"pp1798J","publicationYear":"2014","noYear":false,"chapter":"J","title":"Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":8},{"subject":{"id":70111075,"text":"pp1798I - 2014 - Geomorphic change on the Missouri River during the flood of 2011","indexId":"pp1798I","publicationYear":"2014","noYear":false,"chapter":"I","title":"Geomorphic change on the Missouri River during the flood of 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":9},{"subject":{"id":70118238,"text":"pp1798K - 2014 - The effects of Missouri River mainstem reservoir system operations on 2011 flooding using a Precipitation-Runoff Modeling System model","indexId":"pp1798K","publicationYear":"2014","noYear":false,"chapter":"K","title":"The effects of Missouri River mainstem reservoir system operations on 2011 flooding using a Precipitation-Runoff Modeling System model"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":10},{"subject":{"id":70127474,"text":"pp1798L - 2014 - Ecosystem effects in the Lower Mississippi River Basin","indexId":"pp1798L","publicationYear":"2014","noYear":false,"chapter":"L","title":"Ecosystem effects in the Lower Mississippi River Basin"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":11}],"lastModifiedDate":"2013-08-05T15:51:34","indexId":"pp1798","displayToPublicDate":"2013-08-05T15:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","title":"2011 floods of the central United States","docAbstract":"The Central United States experienced record-setting flooding during 2011, with floods that extended from headwater streams in the Rocky Mountains, to transboundary rivers in the upper Midwest and Northern Plains, to the deep and wide sand-bedded lower Mississippi River. The U.S. Geological Survey (USGS), as part of its mission, collected extensive information during and in the aftermath of the 2011 floods to support scientific analysis of the origins and consequences of extreme floods. The information collected for the 2011 floods, combined with decades of past data, enables scientists and engineers from the USGS to provide syntheses and scientific analyses to inform emergency managers, planners, and policy makers about life-safety, economic, and environmental-health issues surrounding flood hazards for the 2011 floods and future floods like it. USGS data, information, and scientific analyses provide context and understanding of the effect of floods on complex societal issues such as ecosystem and human health, flood-plain management, climate-change adaptation, economic security, and the associated policies enacted for mitigation.\n\nAmong the largest societal questions is \"How do we balance agricultural, economic, life-safety, and environmental needs in and along our rivers?\" To address this issue, many scientific questions have to be answered including the following:\n\n* How do the 2011 weather and flood conditions compare to the past weather and flood conditions and what can we reasonably expect in the future for flood magnitudes?\n* What is the “natural” hydrology of these watersheds and how have they been changed?\n* How do rivers change during floods and what effects do they have on the natural and built environment: conversely, what effects do the natural and built environments have on rivers and floods?\n* Do floods contribute to the transport and fate of contaminants that affect human and ecosystem health?\n\nIn an effort to help address these and other questions, USGS Professional Paper 1798 consists of independent but complementary chapters dealing with various scientific aspects of the 2011 floods in the Central United States.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, 2011 floods of the central United States: U.S. Geological Survey Professional Paper 1798, HTML Document, https://doi.org/10.3133/pp1798.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":276076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798.PNG"},{"id":276073,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4927e4b0b290850eeebc","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535572,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047414,"text":"ofr20131147 - 2013 - Instrumental neutron activation analysis data for cloud-water particulate samples, Mount Bamboo, Taiwan","interactions":[],"lastModifiedDate":"2013-08-05T13:09:27","indexId":"ofr20131147","displayToPublicDate":"2013-08-05T12:55:00","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":"2013-1147","title":"Instrumental neutron activation analysis data for cloud-water particulate samples, Mount Bamboo, Taiwan","docAbstract":"Cloud water was sampled on Mount Bamboo in northern Taiwan during March 22-24, 2002. Cloud-water samples were filtered using 0.45-micron filters to remove particulate material from the water samples. Filtered particulates were analyzed by instrumental neutron activation analysis (INAA) at the U.S. Geological Survey National Reactor Facility in Denver, Colorado, in February 2012. INAA elemental composition data for the particulate materials are presented. These data complement analyses of the aqueous portion of the cloud-water samples, which were performed earlier by the Department of Atmospheric Sciences, National Central University, Taiwan. The data are intended for evaluation of atmospheric transport processes and air-pollution sources in Southeast Asia.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131147","usgsCitation":"Lin, N., Sheu, G., Wetherbee, G.A., and Debey, T.M., 2013, Instrumental neutron activation analysis data for cloud-water particulate samples, Mount Bamboo, Taiwan: U.S. Geological Survey Open-File Report 2013-1147, vi, 12 p., https://doi.org/10.3133/ofr20131147.","productDescription":"vi, 12 p.","numberOfPages":"18","onlineOnly":"Y","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":276033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131147.png"},{"id":276031,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1147/"},{"id":276032,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1147/pdf/OF13-1147_508.pdf"}],"country":"Taiwan","otherGeospatial":"Mount Bamboo","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 120.7548,24.4 ], [ 120.7548,25.3643 ], [ 122.0454,25.3643 ], [ 122.0454,24.4 ], [ 120.7548,24.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5200bb56e4b009d47a4c2321","contributors":{"authors":[{"text":"Lin, Neng-Huei","contributorId":44450,"corporation":false,"usgs":true,"family":"Lin","given":"Neng-Huei","email":"","affiliations":[],"preferred":false,"id":481978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheu, Guey-Rong","contributorId":41320,"corporation":false,"usgs":true,"family":"Sheu","given":"Guey-Rong","email":"","affiliations":[],"preferred":false,"id":481977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":481975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Debey, Timothy M. tdebey@usgs.gov","contributorId":3964,"corporation":false,"usgs":true,"family":"Debey","given":"Timothy","email":"tdebey@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":481976,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045869,"text":"70045869 - 2013 - An interactive web application for visualizing climate data","interactions":[],"lastModifiedDate":"2013-10-30T14:26:22","indexId":"70045869","displayToPublicDate":"2013-08-05T11:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"An interactive web application for visualizing climate data","docAbstract":"Massive volumes of data are being created as modeling centers from around the world finalize their submission of climate simulations for the Coupled Model Intercomparison Project, phase 5 (CMIP5), in preparation for the forthcoming Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). Scientists, resource managers, and other potential users of climate data are faced with the daunting task of analyzing, distilling, and summarizing this unprecedented wealth of climate information.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013EO220001","usgsCitation":"Alder, J., Hostetler, S., and Williams, D., 2013, An interactive web application for visualizing climate data: Eos, Transactions, American Geophysical Union, v. 94, no. 22, p. 197-198, https://doi.org/10.1002/2013EO220001.","productDescription":"2 p.","startPage":"197","endPage":"198","ipdsId":"IP-045104","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473616,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013eo220001","text":"Publisher Index Page"},{"id":276020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276019,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013EO220001"}],"volume":"94","issue":"22","noUsgsAuthors":false,"publicationDate":"2013-05-28","publicationStatus":"PW","scienceBaseUri":"5200bb54e4b009d47a4c2319","contributors":{"authors":[{"text":"Alder, J.","contributorId":62121,"corporation":false,"usgs":true,"family":"Alder","given":"J.","affiliations":[],"preferred":false,"id":478463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, S. 0000-0003-2272-8302","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":30336,"corporation":false,"usgs":true,"family":"Hostetler","given":"S.","affiliations":[],"preferred":false,"id":478461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, D.","contributorId":31908,"corporation":false,"usgs":true,"family":"Williams","given":"D.","affiliations":[],"preferred":false,"id":478462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047399,"text":"cir1385 - 2013 - The quality of our Nation's waters: factors affecting public-supply-well vulnerability to contamination: understanding observed water quality and anticipating future water quality","interactions":[],"lastModifiedDate":"2013-10-30T13:21:41","indexId":"cir1385","displayToPublicDate":"2013-08-05T10:00:00","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":"1385","title":"The quality of our Nation's waters: factors affecting public-supply-well vulnerability to contamination: understanding observed water quality and anticipating future water quality","docAbstract":"As part of the U.S. Geological Survey National Water-Quality Assessment (NAWQA) Program, a study was conducted from 2001 to 2011 to shed light on factors that affect the vulnerability of water from public-supply wells to contamination (referred to hereafter as “public-supply-well vulnerability”). The study was designed as a follow-up to earlier NAWQA studies that found mixtures of contaminants at low concentrations in groundwater near the water table in urban areas across the Nation and, less frequently, in deeper groundwater typically used for public supply.\n\nBeside the factors affecting public-supply-well vulnerability to contamination, this circular describes measures that can be used to determine which factor (or factors) plays a dominant role at an individual public-supply well. Case-study examples are used throughout to show how such information can be used to improve water quality.\n\nIn general, the vulnerability of the water from public-supply wells to contamination is a function of contaminant input within the area that contributes water to a well, the mobility and persistence of a contaminant once released to the groundwater, and the ease of groundwater and contaminant movement from the point of recharge to the open interval of a well. The following measures described in this circular are particularly useful for indicating which contaminants in an aquifer might reach an individual public-supply well and when, how, and at what concentration they might arrive:\n\n* Sources of recharge—Information on the sources of recharge for a well provides insight into contaminants that might enter the aquifer with the recharge water and potentially reach the well.\n\n* Geochemical conditions—Information on the geochemical conditions encountered by groundwater traveling to a well provides insight into contaminants that might persist in the water all the way to the well.\n\n* Groundwater-age mixtures—Information on the ages of the different waters that mix in a well provides insight into the time lag between contaminant input at the water table and contaminant arrival at the well. It also provides insight into the potential for in-well dilution of contaminated water by unaffected groundwater of a different age that simultaneously enters the well.\n\nPreferential flow pathways—pathways that provide little resistance to flow—can influence how all other factors affect public-supply-well vulnerability to contamination. For example, preferential flow pathways can influence whether a contaminant source is physically linked to a well, whether contaminant concentrations are substantially altered before contaminated groundwater reaches a well, and whether contaminated groundwater can arrive at a well within a timeframe of concern to the well owner. Methods for recognizing the influence of preferential flow pathways on the quality of water from a public-supply well are presented in this circular and can provide opportunities to prevent or mitigate the deterioration of a water supply.\n\nKnowing what water-quality variables to measure, what spatial and temporal scales on which to measure them, and how to interpret the resulting data makes it possible for samples from public-supply wells to provide a broad window into a well’s past and present water quality—and possibly future water quality. Such insight can enable resource managers to prioritize actions for sustaining a high-quality groundwater source of drinking water.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1385","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Eberts, S., Thomas, M.A., and Jagucki, M.L., 2013, The quality of our Nation's waters: factors affecting public-supply-well vulnerability to contamination: understanding observed water quality and anticipating future water quality: U.S. Geological Survey Circular 1385, vii, 120 p., https://doi.org/10.3133/cir1385.","productDescription":"vii, 120 p.","numberOfPages":"132","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":275990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1385.gif"},{"id":275989,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1385/pdf/Cir1385.pdf"},{"id":275988,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1385/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5200bb5ae4b009d47a4c234d","contributors":{"authors":[{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":481944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Mary Ann mathomas@usgs.gov","contributorId":2536,"corporation":false,"usgs":true,"family":"Thomas","given":"Mary","email":"mathomas@usgs.gov","middleInitial":"Ann","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jagucki, Martha L. 0000-0003-3798-8393 mjagucki@usgs.gov","orcid":"https://orcid.org/0000-0003-3798-8393","contributorId":1794,"corporation":false,"usgs":true,"family":"Jagucki","given":"Martha","email":"mjagucki@usgs.gov","middleInitial":"L.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047403,"text":"ofr20111040 - 2013 - Continuous resistivity profiling data from Great South Bay, Long Island, New York","interactions":[],"lastModifiedDate":"2013-08-05T09:50:18","indexId":"ofr20111040","displayToPublicDate":"2013-08-05T09:44:46","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":"2011-1040","title":"Continuous resistivity profiling data from Great South Bay, Long Island, New York","docAbstract":"An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York was conducted to assess the importance of submarine groundwater discharge as a potential nonpoint source of nitrogen delivery to Great South Bay. Over 200 kilometers of continuous resistivity profiling data were collected to image the fresh-saline groundwater interface in sediments beneath the bay. In addition, groundwater sampling was performed at sites (1) along the north shore of Great South Bay, particularly in Patchogue Bay, that were representative of the developed Long Island shoreline, and (2) at sites on and adjacent to Fire Island, a 50-kilometer-long barrier island on the south side of Great South Bay. Other field activities included sediment coring, stationary electrical resistivity profiling, and surveys of in situ pore water conductivity. Results of continuous resistivity profiling surveys are described in this report. The onshore and offshore shallow hydrostratigraphy of the Great South Bay shorelines, particularly the presence and nature of submarine confining units, appears to exert primary control on the dimensions and chemistry of the submarine groundwater flow and discharge zones. Sediment coring has shown that the confining units commonly consist of drowned and buried peat layers likely deposited in salt marshes. Low-salinity groundwater extends from 10 to 100 meters offshore along much of the north and south shores of Great South Bay based on continuous resistivity profiling data, especially off the mouths of tidal creeks and beneath shallow flats to the north of Fire Island adjacent to modern salt marshes. Human modifications of much of the shoreline and nearshore areas along the north shore of the bay, including filling of salt marshes, construction of bulkheads and piers, and dredging of navigation channels, has substantially altered the natural hydrogeology of the bay's shorelines by truncating confining units and increasing recharge near the shore in filled areas. Better understanding of the nature of submarine groundwater discharge along developed and undeveloped shorelines of embayments such as this could lead to improved models and mitigation strategies for nutrient overenrichment of estuaries.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111040","usgsCitation":"Cross, V., Bratton, J., Kroeger, K., Crusius, J., and Worley, C., 2013, Continuous resistivity profiling data from Great South Bay, Long Island, New York: U.S. Geological Survey Open-File Report 2011-1040, HTML Document, https://doi.org/10.3133/ofr20111040.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":276000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20111040.PNG"},{"id":275998,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1040/"},{"id":275999,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1040/title_page.html"}],"country":"United States","state":"New York","otherGeospatial":"Great South Bay;Long Island","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-73.25174433368545, 40.69293730375589], [-73.24001253931927, 40.69293730375589], [-73.23993153161189, 40.70905923664754], [-73.23344752094579, 40.71544789421561], [-73.22534250761305, 40.707438233980845], [-73.21561649161373, 40.70562652511829], [-73.20732077208498, 40.709822061431666], [-73.17928696126353, 40.703242697667626], [-73.17353237124411, 40.70760204671364], [-73.17165871342098, 40.69761686488367], [-73.14848791059921, 40.69780757107976], [-73.12274257413064, 40.72593673499914], [-73.10491154479867, 40.71592465970586], [-73.06858201444851, 40.72145513939159], [-73.04054820362705, 40.73057089556356], [-73.03816437617633, 40.726184653053906], [-73.03387348676489, 40.729712717681174], [-73.03425489915708, 40.73667349383761], [-73.01880769727586, 40.74921242622862], [-73.01906374542239, 40.757950997535175], [-73.0153749857467, 40.74673324567976], [-72.98762723421942, 40.750738075797244], [-72.94471834010501, 40.73977246952357], [-72.92250106826356, 40.75741279265951], [-72.88779254057992, 40.75998732630619], [-72.88302488567831, 40.74043994120967], [-72.87320351658106, 40.73977246952357], [-72.87101039532638, 40.732239574778966], [-72.88855536536425, 40.735100167720006], [-72.88855536536425, 40.730427865916376], [-72.8973278503832, 40.73119069070054], [-72.89513472912847, 40.72470668003456], [-72.90174580176041, 40.73350975927241], [-72.8890363578638, 40.73839800692489], [-72.90663404941307, 40.745730378403785], [-72.94818415446007, 40.719333841079845], [-72.96236007265253, 40.71737854201887], [-72.9633377221831, 40.70613557241791], [-73.00717461931593, 40.687356871535435], [-73.0099398591588, 40.68306598212397], [-73.0653400091154, 40.667142014752585], [-73.14610408314849, 40.65135154171859], [-73.18395926306721, 40.649253773561895], [-73.20350664816374, 40.6411487602292], [-73.2136160019953, 40.66116369401408], [-73.23170251830982, 40.66409664260559], [-73.25272198321596, 40.6865825818076], [-73.25174433368545, 40.69293730375589]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-73.25272198321596, 40.6411487602292, -72.87101039532638, 40.75998732630619], \"type\": \"Feature\", \"id\": \"3091945\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5200bb55e4b009d47a4c231d","contributors":{"authors":[{"text":"Cross, V.A.","contributorId":88687,"corporation":false,"usgs":true,"family":"Cross","given":"V.A.","email":"","affiliations":[],"preferred":false,"id":481951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bratton, J.F.","contributorId":94354,"corporation":false,"usgs":true,"family":"Bratton","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":481952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, K.D.","contributorId":26060,"corporation":false,"usgs":true,"family":"Kroeger","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":481949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":481948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Worley, C.R.","contributorId":43479,"corporation":false,"usgs":true,"family":"Worley","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":481950,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70118989,"text":"70118989 - 2013 - Nitrous oxide emissions from cropland: a procedure for calibrating the DayCent biogeochemical model using inverse modelling","interactions":[],"lastModifiedDate":"2014-08-04T09:40:17","indexId":"70118989","displayToPublicDate":"2013-08-04T09:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Nitrous oxide emissions from cropland: a procedure for calibrating the DayCent biogeochemical model using inverse modelling","docAbstract":"DayCent is a biogeochemical model of intermediate complexity widely used to simulate greenhouse gases (GHG), soil organic carbon and nutrients in crop, grassland, forest and savannah ecosystems. Although this model has been applied to a wide range of ecosystems, it is still typically parameterized through a traditional “trial and error” approach and has not been calibrated using statistical inverse modelling (i.e. algorithmic parameter estimation). The aim of this study is to establish and demonstrate a procedure for calibration of DayCent to improve estimation of GHG emissions. We coupled DayCent with the parameter estimation (PEST) software for inverse modelling. The PEST software can be used for calibration through regularized inversion as well as model sensitivity and uncertainty analysis. The DayCent model was analysed and calibrated using N2O flux data collected over 2 years at the Iowa State University Agronomy and Agricultural Engineering Research Farms, Boone, IA. Crop year 2003 data were used for model calibration and 2004 data were used for validation. The optimization of DayCent model parameters using PEST significantly reduced model residuals relative to the default DayCent parameter values. Parameter estimation improved the model performance by reducing the sum of weighted squared residual difference between measured and modelled outputs by up to 67 %. For the calibration period, simulation with the default model parameter values underestimated mean daily N2O flux by 98 %. After parameter estimation, the model underestimated the mean daily fluxes by 35 %. During the validation period, the calibrated model reduced sum of weighted squared residuals by 20 % relative to the default simulation. Sensitivity analysis performed provides important insights into the model structure providing guidance for model improvement.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water, Air, and Soil Pollution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11270-013-1677-z","usgsCitation":"Rafique, R., Fienen, M., Parkin, T.B., and Anex, R.P., 2013, Nitrous oxide emissions from cropland: a procedure for calibrating the DayCent biogeochemical model using inverse modelling: Water, Air, & Soil Pollution, v. 224, no. 1677, p. 1-15, https://doi.org/10.1007/s11270-013-1677-z.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-049354","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":291562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291550,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11270-013-1677-z"}],"volume":"224","issue":"1677","noUsgsAuthors":false,"publicationDate":"2013-08-15","publicationStatus":"PW","scienceBaseUri":"53e09e5ce4b0beb42bdca483","contributors":{"authors":[{"text":"Rafique, Rashad","contributorId":87466,"corporation":false,"usgs":true,"family":"Rafique","given":"Rashad","email":"","affiliations":[],"preferred":false,"id":497561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":497559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parkin, Timothy B.","contributorId":40530,"corporation":false,"usgs":true,"family":"Parkin","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":497560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anex, Robert P.","contributorId":101198,"corporation":false,"usgs":true,"family":"Anex","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":497562,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047389,"text":"ds785 - 2013 - An expanded map of vegetation communities at Big Muddy National Fish and Wildlife Refuge","interactions":[],"lastModifiedDate":"2016-10-20T12:38:10","indexId":"ds785","displayToPublicDate":"2013-08-02T14:31:00","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":"785","title":"An expanded map of vegetation communities at Big Muddy National Fish and Wildlife Refuge","docAbstract":"In 2012, a map of vegetation communities on Big Muddy National Fish and Wildlife Refuge was expanded based on interpretation of aerial photographs and field data. National Agricultural Imagery Program aerial photographs were used to identify distinct communities on previously unmapped refuge units and newly acquired parcels. Newly mapped polygons were then visited to adjust map boundaries, classify communities according to the National Vegetation Classification System, and quantify the abundance of dominant species and non-native, invasive species of concern to the refuge and other resource management agencies along the Missouri River. The expanded map now covers 6,136 hectares representing 33 community types, including 6 previously unmapped types. The full map includes 1,113 polygons, of which 627 are new, 21 are updated from the 2009 mapping effort, and 465 are unchanged from 2009. Mortality of primarily cottonwood stems, because of growing-season floods between 2008 and 2011, has reduced foliar cover of woody stems and created more open wooded communities. In herbaceous communities, dominance by herbaceous old fields has increased due to the inclusion of refuge units dominated by lands in recent agricultural production in the expanded map. Wetland community abundance has increased slightly due to recent flooding.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds785","usgsCitation":"Struckhoff, M.A., 2013, An expanded map of vegetation communities at Big Muddy National Fish and Wildlife Refuge: U.S. Geological Survey Data Series 785, Report: vi, 10 p.; Spatial Data; Photographs, https://doi.org/10.3133/ds785.","productDescription":"Report: vi, 10 p.; Spatial Data; Photographs","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":275975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds785.gif"},{"id":275973,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/785/downloads/","text":"Spatial data and photographs"},{"id":275971,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/785/"},{"id":275974,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2011/1038/","text":"Vegetation Communities at Big Muddy National Fish and Wildlife Refuge, Missouri (Open-File Report 2011-1038)"},{"id":275972,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/785/pdf/ds785.pdf"}],"country":"United States","state":"Missouri","otherGeospatial":"Big Muddy National Fish And Wildlife Refuge","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fcc6d5e4b0296e5a4b5be8","contributors":{"authors":[{"text":"Struckhoff, Matthew A. 0000-0002-4911-9956 mstruckhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":2095,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","email":"mstruckhoff@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":481920,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047378,"text":"sir20135097 - 2013 - Springs, streams, and gas vent on and near Mount Adams volcano, Washington","interactions":[],"lastModifiedDate":"2013-08-02T12:56:55","indexId":"sir20135097","displayToPublicDate":"2013-08-02T12:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5097","title":"Springs, streams, and gas vent on and near Mount Adams volcano, Washington","docAbstract":"Springs and some streams on Mount Adams volcano have been sampled for chemistry and light stable isotopes of water. Spring temperatures are generally cooler than air temperatures from weather stations at the same elevation. Spring chemistry generally reflects weathering of volcanic rock from dissolved carbon dioxide. Water in some springs and streams has either dissolved hydrothermal minerals or has reacted with them to add sulfate to the water. Some samples appear to have obtained their sulfate from dissolution of gypsum while some probably involve reaction with sulfide minerals such as pyrite. Light stable isotope data for water from springs follow a local meteoric water line, and the variation of isotopes with elevation indicate that some springs have very local recharge and others have water from elevations a few hundred meters higher. No evidence was found for thermal or slightly thermal springs on Mount Adams. A sample from a seeping gas vent on Mount Adams was at ambient temperature, but the gas is similar to that found on other Cascade volcanoes. Helium isotopes are 4.4 times the value in air, indicating that there is a significant component of mantle helium. The lack of fumaroles on Mount Adams and the ambient temperature of the gas indicates that the gas is from a hydrothermal system that is no longer active.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135097","usgsCitation":"Nathenson, M., and Mariner, R.H., 2013, Springs, streams, and gas vent on and near Mount Adams volcano, Washington: U.S. Geological Survey Scientific Investigations Report 2013-5097, iv, 20 p., https://doi.org/10.3133/sir20135097.","productDescription":"iv, 20 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":619,"text":"Volcano Science Center-Menlo Park","active":false,"usgs":true}],"links":[{"id":275951,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5097/"},{"id":275952,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5097/sir3013-5097.pdf"},{"id":275953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135097.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Adams Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.45,46 ], [ -121.45,46.30 ], [ -121.15,46.30 ], [ -121.15,46 ], [ -121.45,46 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fcc6d6e4b0296e5a4b5bf8","contributors":{"authors":[{"text":"Nathenson, Manuel 0000-0002-5216-984X mnathnsn@usgs.gov","orcid":"https://orcid.org/0000-0002-5216-984X","contributorId":1358,"corporation":false,"usgs":true,"family":"Nathenson","given":"Manuel","email":"mnathnsn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":481865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mariner, Robert H. rmariner@usgs.gov","contributorId":3290,"corporation":false,"usgs":true,"family":"Mariner","given":"Robert","email":"rmariner@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":481866,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047356,"text":"ofr20131158 - 2013 - Seasonal flux and assemblage composition of planktic foraminifera from the northern Gulf of Mexico, 2008-11","interactions":[],"lastModifiedDate":"2013-10-30T14:23:55","indexId":"ofr20131158","displayToPublicDate":"2013-08-01T14:35:00","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":"2013-1158","title":"Seasonal flux and assemblage composition of planktic foraminifera from the northern Gulf of Mexico, 2008-11","docAbstract":"The U.S. Geological Survey anchored a sediment trap in the northern Gulf of Mexico to collect seasonal time-series data on the flux and assemblage composition of live planktic foraminifers. This report provides an update of the previous time-series data to include results from 2011. Ten species, or varieties, constituted ~92 percent of the 2011 assemblage: <i>Globigerinoides ruber</i> (pink and white varieties), <i>Globigerinoides sacculifer</i>, <i>Globigerina calida</i>, <i>Globigerinella aequilateralis</i>, <i>Globorotalia menardii</i> group [The <i>Gt. menardii</i> group includes <i>Gt. menardii</i>, <i>Gt. tumida</i>, and <i>Gt. ungulata</i>], <i>Orbulina universa</i>, <i>Globorotalia truncatulinoides</i>, <i>Pulleniatina</i> spp., and <i>Neogloboquadrina dutertrei</i>. The mean daily flux was 205 tests per square meter per day (m<sup>-2</sup> day<sup>-1</sup>), with maximum fluxes of >600 tests m<sup>-2</sup> day<sup>-1</sup> during mid-February and mid-September and minimum fluxes of <60 tests m<sup>-2</sup> day<sup>-1</sup> during mid-March, the beginning of May, and November. <i>Globorotalia truncatulinoides</i> showed a clear preference for the winter, consistent with data from 2008 to 2010. <i>Globigerinoides ruber</i> (white) flux data for 2011 (average 30 tests m<sup>-2</sup> day<sup>-1</sup>) were consistent with data from 2010 (average 29 m<sup>-2</sup> day<sup>-1</sup>) and showed a steady threefold increase since 2009 (average 11 tests m<sup>-2</sup> day<sup>-1</sup>) and a tenfold increase from the 2008 flux (3 tests m<sup>-2</sup> day<sup>-1</sup>).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131158","usgsCitation":"Reynolds, C.E., and Poore, R.Z., 2013, Seasonal flux and assemblage composition of planktic foraminifera from the northern Gulf of Mexico, 2008-11: U.S. Geological Survey Open-File Report 2013-1158, iii, 11 p., https://doi.org/10.3133/ofr20131158.","productDescription":"iii, 11 p.","numberOfPages":"14","onlineOnly":"Y","temporalStart":"2008-01-01","temporalEnd":"2011-01-01","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131158.jpg"},{"id":275797,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1158/"},{"id":275798,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1158/pdf/ofr2013-1158.pdf"}],"country":"United States","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.65,25.36 ], [ -90.65,26.34 ], [ -89.65,26.34 ], [ -89.65,25.36 ], [ -90.65,25.36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fb7555e4b04b00e3d7856b","contributors":{"authors":[{"text":"Reynolds, Caitlin E. 0000-0002-1724-3055 creynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-1724-3055","contributorId":4049,"corporation":false,"usgs":true,"family":"Reynolds","given":"Caitlin","email":"creynolds@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":481807,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70093724,"text":"70093724 - 2013 - Lidar-derived estimate and uncertainty of carbon sink in successional phases of woody encroachment","interactions":[],"lastModifiedDate":"2014-02-12T13:59:28","indexId":"70093724","displayToPublicDate":"2013-08-01T13:53:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Lidar-derived estimate and uncertainty of carbon sink in successional phases of woody encroachment","docAbstract":"Woody encroachment is a globally occurring phenomenon that contributes to the global carbon sink. The magnitude of this contribution needs to be estimated at regional and local scales to address uncertainties present in the global- and continental-scale estimates, and guide regional policy and management in balancing restoration activities, including removal of woody plants, with greenhouse gas mitigation goals. The objective of this study was to estimate carbon stored in various successional phases of woody encroachment. Using lidar measurements of individual trees, we present high-resolution estimates of aboveground carbon storage in juniper woodlands. Segmentation analysis of lidar point cloud data identified a total of 60,628 juniper tree crowns across four watersheds. Tree heights, canopy cover, and density derived from lidar were strongly correlated with field measurements of 2613 juniper stems measured in 85 plots (30 × 30 m). Aboveground total biomass of individual trees was estimated using a regression model with lidar-derived height and crown area as predictors (Adj. R<sup>2</sup> = 0.76, p < 0.001, RMSE = 0.58 kg). The predicted mean aboveground woody carbon storage for the study area was 677 g/m<sup>2</sup>. Uncertainty in carbon storage estimates was examined with a Monte Carlo approach that addressed major error sources. Ranges predicted with uncertainty analysis in the mean, individual tree, aboveground woody C, and associated standard deviation were 0.35 – 143.6 kg and 0.5 – 1.25 kg, respectively. Later successional phases of woody encroachment had, on average, twice the aboveground carbon relative to earlier phases. Woody encroachment might be more successfully managed and balanced with carbon storage goals by identifying priority areas in earlier phases of encroachment where intensive treatments are most effective.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrg.20088","usgsCitation":"Sankey, T., Shrestha, R., Sankey, J.B., Hardgree, S., and Strand, E., 2013, Lidar-derived estimate and uncertainty of carbon sink in successional phases of woody encroachment: Journal of Geophysical Research: Biogeosciences, v. 118, no. 3, p. 1144-1155, https://doi.org/10.1002/jgrg.20088.","productDescription":"12 p.","startPage":"1144","endPage":"1155","numberOfPages":"12","ipdsId":"IP-036687","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":282317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282290,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrg.20088"}],"country":"United States","state":"Idaho","otherGeospatial":"South Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.0204,42.1646 ], [ -117.0204,43.35 ], [ -115.7938,43.35 ], [ -115.7938,42.1646 ], [ -117.0204,42.1646 ] ] ] } } ] }","volume":"118","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-08-29","publicationStatus":"PW","scienceBaseUri":"53cd6497e4b0b290850ff8cf","contributors":{"authors":[{"text":"Sankey, Temuulen","contributorId":97000,"corporation":false,"usgs":true,"family":"Sankey","given":"Temuulen","affiliations":[],"preferred":false,"id":490180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shrestha, Rupesh","contributorId":65382,"corporation":false,"usgs":true,"family":"Shrestha","given":"Rupesh","email":"","affiliations":[],"preferred":false,"id":490178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":490176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardgree, Stuart","contributorId":44830,"corporation":false,"usgs":true,"family":"Hardgree","given":"Stuart","email":"","affiliations":[],"preferred":false,"id":490177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strand, Eva","contributorId":82611,"corporation":false,"usgs":false,"family":"Strand","given":"Eva","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":490179,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70074649,"text":"70074649 - 2013 - Geologic occurrences of erionite in the United States: an emerging national public health concern for respiratory disease","interactions":[],"lastModifiedDate":"2014-04-14T13:05:24","indexId":"70074649","displayToPublicDate":"2013-08-01T12:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1538,"text":"Environmental Geochemistry and Health","active":true,"publicationSubtype":{"id":10}},"title":"Geologic occurrences of erionite in the United States: an emerging national public health concern for respiratory disease","docAbstract":"Erionite, a mineral series within the zeolite group, is classified as a Group 1 known respiratory carcinogen. This designation resulted from extremely high incidences of mesothelioma discovered in three small villages from the Cappadocia region of Turkey, where the disease was linked to environmental exposures to fibrous forms of erionite. Natural deposits of erionite, including fibrous forms, have been identified in the past in the western United States. Until recently, these occurrences have generally been overlooked as a potential hazard. In the last several years, concerns have emerged regarding the potential for environmental and occupational exposures to erionite in the United States, such as erionite-bearing gravels in western North Dakota mined and used to surface unpaved roads. As a result, there has been much interest in identifying locations and geologic environments across the United States where erionite occurs naturally. A 1996 U.S. Geological Survey report describing erionite occurrences in the United States has been widely cited as a compilation of all US erionite deposits; however, this compilation only focused on one of several geologic environments in which erionite can form. Also, new occurrences of erionite have been identified in recent years. Using a detailed literature survey, this paper updates and expands the erionite occurrences database, provided in a supplemental file (US_erionite.xls). Epidemiology, public health, and natural hazard studies can incorporate this information on known erionite occurrences and their characteristics. By recognizing that only specific geologic settings and formations are hosts to erionite, this knowledge can be used in developing management plans designed to protect the public.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geochemistry and Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10653-012-9504-9","usgsCitation":"Van Gosen, B.S., Blitz, T.A., Plumlee, G.S., Meeker, G.P., and Pierson, M.P., 2013, Geologic occurrences of erionite in the United States: an emerging national public health concern for respiratory disease: Environmental Geochemistry and Health, v. 35, no. 4, p. 419-430, https://doi.org/10.1007/s10653-012-9504-9.","productDescription":"12 p.","startPage":"419","endPage":"430","numberOfPages":"12","ipdsId":"IP-038199","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":286317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286316,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10653-012-9504-9"}],"country":"United States","state":"Arizona;California;Colorado;Idaho;Montana;New Mexico;Nevada;North Dakota;Oregon;South Dakota;Utah;Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,31.69 ], [ -124.79,49.0 ], [ -100.35,49.0 ], [ -100.35,31.69 ], [ -124.79,31.69 ] ] ] } } ] }","volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-01-12","publicationStatus":"PW","scienceBaseUri":"5355946de4b0120853e8bfc8","contributors":{"authors":[{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blitz, Thomas A.","contributorId":22678,"corporation":false,"usgs":true,"family":"Blitz","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":489673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meeker, Gregory P.","contributorId":62974,"corporation":false,"usgs":true,"family":"Meeker","given":"Gregory","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":489677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pierson, M. Patrick","contributorId":24273,"corporation":false,"usgs":true,"family":"Pierson","given":"M.","email":"","middleInitial":"Patrick","affiliations":[],"preferred":false,"id":489676,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047087,"text":"70047087 - 2013 - The variability of California summertime marine stratus: impacts on surface air temperatures","interactions":[],"lastModifiedDate":"2013-11-07T12:37:49","indexId":"70047087","displayToPublicDate":"2013-08-01T11:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"The variability of California summertime marine stratus: impacts on surface air temperatures","docAbstract":"This study investigates the variability of clouds, primarily marine stratus clouds, and how they are associated with surface temperature anomalies over California, especially along the coastal margin. We focus on the summer months of June to September when marine stratus are the dominant cloud type. Data used include satellite cloud reflectivity (cloud albedo) measurements, hourly surface observations of cloud cover and air temperature at coastal airports, and observed values of daily surface temperature at stations throughout California and Nevada. Much of the anomalous variability of summer clouds is organized over regional patterns that affect considerable portions of the coast, often extend hundreds of kilometers to the west and southwest over the North Pacific, and are bounded to the east by coastal mountains. The occurrence of marine stratus is positively correlated with both the strength and height of the thermal inversion that caps the marine boundary layer, with inversion base height being a key factor in determining their inland penetration. Cloud cover is strongly associated with surface temperature variations. In general, increased presence of cloud (higher cloud albedo) produces cooler daytime temperatures and warmer nighttime temperatures. Summer daytime temperature fluctuations associated with cloud cover variations typically exceed 1°C. The inversion-cloud albedo-temperature associations that occur at daily timescales are also found at seasonal timescales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research D: Atmospheres","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrd.50652","usgsCitation":"Iacobellis, S.F., and Cayan, D.R., 2013, The variability of California summertime marine stratus: impacts on surface air temperatures: Journal of Geophysical Research D: Atmospheres, v. 118, no. 16, p. 9105-9122, https://doi.org/10.1002/jgrd.50652.","productDescription":"18 p.","startPage":"9105","endPage":"9122","numberOfPages":"18","ipdsId":"IP-049292","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrd.50652","text":"Publisher Index Page"},{"id":278924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278923,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrd.50652"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"118","issue":"16","noUsgsAuthors":false,"publicationDate":"2013-08-20","publicationStatus":"PW","scienceBaseUri":"527cc496e4b0850ea050cece","contributors":{"authors":[{"text":"Iacobellis, Sam F.","contributorId":11502,"corporation":false,"usgs":true,"family":"Iacobellis","given":"Sam","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":481031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":481030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047340,"text":"70047340 - 2013 - Comparison of age distributions estimated from environmental tracers by using binary-dilution and numerical models of fractured and folded karst: Shenandoah Valley of Virginia and West Virginia, USA","interactions":[],"lastModifiedDate":"2018-03-21T15:11:21","indexId":"70047340","displayToPublicDate":"2013-08-01T11:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of age distributions estimated from environmental tracers by using binary-dilution and numerical models of fractured and folded karst: Shenandoah Valley of Virginia and West Virginia, USA","docAbstract":"Measured concentrations of environmental tracers in spring discharge from a karst aquifer in the Shenandoah Valley, USA, were used to refine a numerical groundwater flow model. The karst aquifer is folded and faulted carbonate bedrock dominated by diffuse flow along fractures. The numerical model represented bedrock structure and discrete features (fault zones and springs). Concentrations of <sup>3</sup>H, <sup>3</sup>He, <sup>4</sup>He, and CFC-113 in spring discharge were interpreted as binary dilutions of young (0–8  years) water and old (tracer-free) water. Simulated mixtures of groundwater are derived from young water flowing along shallow paths, with the addition of old water flowing along deeper paths through the model domain that discharge to springs along fault zones. The simulated median age of young water discharged from springs (5.7  years) is slightly older than the median age estimated from <sup>3</sup>H/<sup>3</sup>He data (4.4  years). The numerical model predicted a fraction of old water in spring discharge (0.07) that was half that determined by the binary-dilution model using the <sup>3</sup>H/<sup>3</sup>He apparent age and <sup>3</sup>H and CFC-113 data (0.14). This difference suggests that faults and lineaments are more numerous or extensive than those mapped and included in the numerical model.","language":"English","publisher":"Springer","doi":"10.1007/s10040-013-0997-9","usgsCitation":"Yager, R.M., Plummer, N., Kauffman, L.J., Doctor, D.H., Nelms, D.L., and Schlosser, P., 2013, Comparison of age distributions estimated from environmental tracers by using binary-dilution and numerical models of fractured and folded karst: Shenandoah Valley of Virginia and West Virginia, USA: Hydrogeology Journal, v. 21, no. 6, p. 1193-1217, https://doi.org/10.1007/s10040-013-0997-9.","productDescription":"25 p.","startPage":"1193","endPage":"1217","numberOfPages":"25","ipdsId":"IP-042757","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":275681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275663,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/DOI 10.1007/s10040-013-0997-9"}],"country":"United States","state":"Virginia;West Virginia","otherGeospatial":"Shenandoah Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.33,37.4237 ], [ -80.33,39.6857 ], [ -77.7252,39.6857 ], [ -77.7252,37.4237 ], [ -80.33,37.4237 ] ] ] } } ] }","volume":"21","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-28","publicationStatus":"PW","scienceBaseUri":"51fb7554e4b04b00e3d78567","contributors":{"authors":[{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":481747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauffman, Leon J. 0000-0003-4564-0362 lkauff@usgs.gov","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":1094,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"lkauff@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":481746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelms, David L. 0000-0001-5747-642X dlnelms@usgs.gov","orcid":"https://orcid.org/0000-0001-5747-642X","contributorId":1892,"corporation":false,"usgs":true,"family":"Nelms","given":"David","email":"dlnelms@usgs.gov","middleInitial":"L.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlosser, Peter","contributorId":50936,"corporation":false,"usgs":true,"family":"Schlosser","given":"Peter","email":"","affiliations":[],"preferred":false,"id":481748,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118526,"text":"70118526 - 2013 - Consequences of flight height and line spacing on airborne (helicopter) gravity gradient resolution in the Great Sand Dunes National Park and Preserve, Colorado","interactions":[],"lastModifiedDate":"2014-07-29T11:40:51","indexId":"70118526","displayToPublicDate":"2013-08-01T11:33:50","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of flight height and line spacing on airborne (helicopter) gravity gradient resolution in the Great Sand Dunes National Park and Preserve, Colorado","docAbstract":"Line spacing and flight height are critical parameters in airborne gravity gradient surveys; the optimal trade-off between survey costs and desired resolution, however, is different for every situation. This article investigates the additional benefit of reducing the flight height and line spacing though a study of a survey conducted over the Great Sand Dunes National Park and Preserve, which is the highest-resolution public-domain airborne gravity gradient data set available, with overlapping high- and lower-resolution surveys. By using Fourier analysis and matched filtering, it is shown that while the lower-resolution survey delineates the target body, reducing the flight height from 80 m to 40 m and the line spacing from 100 m to 50 m improves the recoverable resolution even at basement depths.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Leading Edge","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Tulsa, OK","doi":"10.1190/tle32080932.1","usgsCitation":"Kass, M.A., 2013, Consequences of flight height and line spacing on airborne (helicopter) gravity gradient resolution in the Great Sand Dunes National Park and Preserve, Colorado: The Leading Edge, v. 32, no. 8, p. 932-938, https://doi.org/10.1190/tle32080932.1.","productDescription":"p. 932-4, 936, 938","startPage":"932","endPage":"938","numberOfPages":"5","ipdsId":"IP-045180","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":291290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291241,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/tle32080932.1"}],"country":"United States","state":"Colorado","otherGeospatial":"Great Sand Dunes National Park And Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.728191,37.66272 ], [ -105.728191,37.863465 ], [ -105.497807,37.863465 ], [ -105.497807,37.66272 ], [ -105.728191,37.66272 ] ] ] } } ] }","volume":"32","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f286e4b0bc0bec0a0420","contributors":{"authors":[{"text":"Kass, M. Andy","contributorId":103593,"corporation":false,"usgs":true,"family":"Kass","given":"M.","email":"","middleInitial":"Andy","affiliations":[],"preferred":false,"id":496901,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047679,"text":"70047679 - 2013 - On the insignificance of Herschel's sunspot correlation","interactions":[],"lastModifiedDate":"2018-10-26T14:16:34","indexId":"70047679","displayToPublicDate":"2013-08-01T11:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"On the insignificance of Herschel's sunspot correlation","docAbstract":"We examine William Herschel's hypothesis that solar-cycle variation of the Sun's irradiance has a modulating effect on the Earth's climate and that this is, specifically, manifested as an anticorrelation between sunspot number and the market price of wheat. Since Herschel first proposed his hypothesis in 1801, it has been regarded with both interest and skepticism. Recently, reports have been published that either support Herschel's hypothesis or rely on its validity. As a test of Herschel's hypothesis, we seek to reject a null hypothesis of a statistically random correlation between historical sunspot numbers, wheat prices in London and the United States, and wheat farm yields in the United States. We employ binary-correlation, Pearson-correlation, and frequency-domain methods. We test our methods using a historical geomagnetic activity index, well known to be causally correlated with sunspot number. As expected, the measured correlation between sunspot number and geomagnetic activity would be an unlikely realization of random data; the correlation is “statistically significant.” On the other hand, measured correlations between sunspot number and wheat price and wheat yield data would be very likely realizations of random data; these correlations are “insignificant.” Therefore, Herschel's hypothesis must be regarded with skepticism. We compare and contrast our results with those of other researchers. We discuss procedures for evaluating hypotheses that are formulated from historical data.","language":"English","publisher":"Wiley","doi":"10.1002/grl.50846","usgsCitation":"Love, J.J., 2013, On the insignificance of Herschel's sunspot correlation: Geophysical Research Letters, v. 40, no. 16, p. 4171-4176, https://doi.org/10.1002/grl.50846.","productDescription":"6 p.","startPage":"4171","endPage":"4176","numberOfPages":"6","ipdsId":"IP-050651","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":313,"text":"Geomagnetism Program","active":false,"usgs":true}],"links":[{"id":280736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276748,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/grl.50846"}],"volume":"40","issue":"16","noUsgsAuthors":false,"publicationDate":"2013-08-27","publicationStatus":"PW","scienceBaseUri":"53cd69e7e4b0b29085102e8d","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":482703,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70057582,"text":"70057582 - 2013 - USGS Nonindigenous Aquatic Species database with a focus on the introduced fishes of the lower Tennessee and Cumberland drainages","interactions":[],"lastModifiedDate":"2014-05-28T10:59:09","indexId":"70057582","displayToPublicDate":"2013-08-01T10:38:59","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"USGS Nonindigenous Aquatic Species database with a focus on the introduced fishes of the lower Tennessee and Cumberland drainages","docAbstract":"The Nonindigenous Aquatic Species (NAS) database (http://nas.er.usgs.gov) functions as a national repository and clearinghouse for occurrence data for introduced species within the United States. Included is locality information on over 1,100 species of vertebrates, invertebrates, and vascular plants introduced as early as 1850. Taxa include foreign (exotic) species and species native to North America that have been transported outside of their natural range. Locality data are obtained from published and unpublished literature, state, federal and local monitoring programs, museum accessions, on-line databases, websites, professional communications and on-line reporting forms. The NAS web site provides immediate access to new occurrence records through a real-time interface with the NAS database. Visitors to the web site are presented with a set of pre-defined queries that generate lists of species according to state or hydrologic basin of interest. Fact sheets, distribution maps, and information on new occurrences are updated as new records and information become available. The NAS database allows resource managers to learn of new introductions reported in their region or nearby regions, improving response time. Conversely, managers are encouraged to report their observations of new occurrences to the NAS database so information can be disseminated to other managers, researchers, and the public. In May 2004, the NAS database incorporated an Alert System to notify registered users of new introductions as part of a national early detection/rapid response system. Users can register to receive alerts based on geographic or taxonomic criteria. The NAS database was used to identify 23 fish species introduced into the lower Tennessee and Cumberland drainages. Most of these are sport fish stocked to support fisheries, but the list also includes accidental and illegal introductions such as Asian Carps, clupeids, various species popular in the aquarium trade, and Atlantic Needlefish (<i>Strongylura marina</i>) that was introduced via the newly-constructed Tennessee-Tombigbee Canal.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 14th Symposium on the Natural History of Lower Tennessee and Cumberland River Valleys","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Center for Excellence for Field Biology, Austin Peay State University","publisherLocation":"Clarksville, TN","usgsCitation":"Fuller, P.L., and Cannister, M., 2013, USGS Nonindigenous Aquatic Species database with a focus on the introduced fishes of the lower Tennessee and Cumberland drainages, <i>in</i> Proceedings of the 14th Symposium on the Natural History of Lower Tennessee and Cumberland River Valleys, p. 29-42.","productDescription":"14 p.","startPage":"29","endPage":"42","numberOfPages":"14","ipdsId":"IP-033618","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":287661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287660,"type":{"id":15,"text":"Index Page"},"url":"https://www.apsu.edu/field-biology/center/publications"}],"country":"United States","otherGeospatial":"Cumberland River;Tennessee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870574e4b0aa26cd7b5405","contributors":{"editors":[{"text":"Johansen, Rebecca","contributorId":113123,"corporation":false,"usgs":true,"family":"Johansen","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":509652,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Estes, Dwayne 0000-0003-1088-7082","orcid":"https://orcid.org/0000-0003-1088-7082","contributorId":112194,"corporation":false,"usgs":true,"family":"Estes","given":"Dwayne","email":"","affiliations":[],"preferred":false,"id":509651,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hamilton, Steven W.","contributorId":111955,"corporation":false,"usgs":true,"family":"Hamilton","given":"Steven","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":509650,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Barrass, Andrew N.","contributorId":113842,"corporation":false,"usgs":true,"family":"Barrass","given":"Andrew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":509653,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Fuller, Pamela L. 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":3217,"corporation":false,"usgs":true,"family":"Fuller","given":"Pamela","email":"pfuller@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":486783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannister, Matthew 0000-0002-9354-2989","orcid":"https://orcid.org/0000-0002-9354-2989","contributorId":79807,"corporation":false,"usgs":true,"family":"Cannister","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":486784,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}