In order to better understand and protect species with minimal or decreasing populations, it is imperative to determine their actual existing population size. The focal species for this project is the Gunnison sage-grouse (GUSG), which became a proposed endangered species under the Endangered Species Act, thus confirming the need for better population estimates. Lek site counting during mating season has historically been the primary method for estimating population size since the grouse are very difficult to count at other times of the year. The objective of this project was to use historical data and available technology to identify additional potential lekking sites. This was done by determining areas throughout the study area that have the same landscape characteristics as those where known lekking activities occur. More accurate population counts could be the outcome of locating more lek sites.
\nOne of the remaining seven GUSG populations, the Crawford population (estimated at 128 individuals) exists in an area that includes the Gunnison Gorge National Conservation Area and the northern portion of the Black Canyon of the Gunnison National Park (our study area). While the Crawford population is small, it is still considered a self-sustaining population; the persistence and growth of this population directly contribute to genetic diversity conservation of this declining species. To date, only observational and anecdotal information about the Crawford population’s range, movements, and seasonal habitat use exist.
\nFrom 1978 to the present, GUSG population monitoring has been accomplished through annual lek counts conducted each spring during GUSG mating season. Although this method has provided information on GUSG population trends, it is somewhat limited because counts are based only on known lekking sites and historically minimal efforts have been made to identify additional lek sites. To meet the objective of locating more potential lekking sites, we used a suite of spatial data, geographic information system tools, and maximum entropy species distribution tools. Based on expert knowledge and landscape variables, the modeling process evolved into a hybrid approach for delineating areas that would have a significant probability for supporting GUSG lekking activities. Based on model results, a sampling protocol was developed for model verification. The results of this project provide wildlife managers with a more sophisticated methodology to evaluate GUSG habitat for potential lekking sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141010","issn":"2331–1258","collaboration":"Prepared in cooperation with the National Audubon Society, the Bureau of Land Management, the National Park Service, the U.S. Department of Agriculture Forest Service, Colorado Parks and Wildlife, and the Habitat Partnership Program","usgsCitation":"Ouren, D.S., Ignizio, D., Siders, M., Childers, T., Tucker, K., and Seward, N., 2014, Gunnison sage-grouse lek site suitability modeling: U.S. Geological Survey Open-File Report 2014-1010, iv, 18 p., https://doi.org/10.3133/ofr20141010.","productDescription":"iv, 18 p.","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-045621","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":282447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141010.jpg"},{"id":282443,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1010/"},{"id":282446,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1010/pdf/of2014-1010.pdf"}],"country":"United States","state":"Colorado","county":"Delta County;Gunnison County;Montrose County","otherGeospatial":"Black Canyon Of Gunnison National Park;Gunnison Gorge National Conservation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.0,38.25 ], [ -108.0,38.75 ], [ -107.25,38.75 ], [ -107.25,38.25 ], [ -108.0,38.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6011e4b0b290850fcb08","contributors":{"authors":[{"text":"Ouren, Douglas S. ourend@usgs.gov","contributorId":1931,"corporation":false,"usgs":true,"family":"Ouren","given":"Douglas","email":"ourend@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":489602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":4822,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew A.","email":"dignizio@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":489603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siders, Melissa","contributorId":78647,"corporation":false,"usgs":true,"family":"Siders","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":489607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Childers, Theresa","contributorId":62139,"corporation":false,"usgs":true,"family":"Childers","given":"Theresa","affiliations":[],"preferred":false,"id":489605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tucker, Karen","contributorId":50821,"corporation":false,"usgs":true,"family":"Tucker","given":"Karen","affiliations":[],"preferred":false,"id":489604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seward, Nathan","contributorId":66599,"corporation":false,"usgs":true,"family":"Seward","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":489606,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70094535,"text":"70094535 - 2014 - Early indicators of change: divergent climate envelopes between tree life stages imply range shifts in the western United States","interactions":[],"lastModifiedDate":"2014-02-21T08:53:03","indexId":"70094535","displayToPublicDate":"2014-02-17T08:42:27","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Early indicators of change: divergent climate envelopes between tree life stages imply range shifts in the western United States","docAbstract":"Aim\nTo determine if differences in climate envelopes for six coniferous tree species and two life stages (trees and seedlings) suggest a potential for species range contractions, expansions or shifts in response to climate change and if these patterns differ between subalpine (i.e. cool-climate) and montane (i.e. warm-climate) species.\n\nLocation\nThe dry domain of the western United States.\n\nMethods\nUsing data from the Forest Inventory and Analysis National Program, we quantified the relationship between probability of occurrence and climate for adults and seedlings of each species with a Bayesian logistic regression. Assuming that distributional differences between life stages highlight shifting regeneration patterns relative to adult trees, we assessed differences between seedlings and adult trees based on predicted probabilities of occurrence and climate envelope boundaries.\n\nResults\nDifferences between occurrence probabilities for seedlings and adults were greatest for montane, as opposed to subalpine, species and along range margins, especially in the southern and western portions of the study area. Climate envelope boundaries of seedlings differed from adult trees most frequently in montane species and often suggested range contractions or range shifts, as opposed to range expansion.\n\nMain conclusions\nOur results indicated that climate-induced contractions and shifts in seedling distribution in response to recent change are already under way and are particularly severe in montane tree species. While adult trees may persist for hundreds of years without significant regeneration, tree species ranges will eventually contract where tree regeneration fails.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Ecology and Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Online Library","doi":"10.1111/geb.12109","usgsCitation":"Bell, D.M., Bradford, J.B., and Lauenroth, W.K., 2014, Early indicators of change: divergent climate envelopes between tree life stages imply range shifts in the western United States: Global Ecology and Biogeography, v. 23, no. 2, p. 168-180, https://doi.org/10.1111/geb.12109.","productDescription":"13 p.","startPage":"168","endPage":"180","ipdsId":"IP-038981","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":282613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282606,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/geb.12109"}],"country":"United States","state":"Colorado;Idaho;Montana;Utah;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -11.100833333333332,3.1347222222222224 ], [ -11.100833333333332,0.0011111111111111111 ], [ -106.3,0.0011111111111111111 ], [ -106.3,3.1347222222222224 ], [ -11.100833333333332,3.1347222222222224 ] ] ] } } ] }","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-10-13","publicationStatus":"PW","scienceBaseUri":"53517035e4b05569d805a1d3","contributors":{"authors":[{"text":"Bell, David M.","contributorId":34423,"corporation":false,"usgs":true,"family":"Bell","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":490666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":490668,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155267,"text":"70155267 - 2014 - Disruptions of El Niño–Southern Oscillation teleconnections by the Madden–Julian Oscillation","interactions":[],"lastModifiedDate":"2017-01-18T11:34:25","indexId":"70155267","displayToPublicDate":"2014-02-16T11:30:00","publicationYear":"2014","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":"Disruptions of El Niño–Southern Oscillation teleconnections by the Madden–Julian Oscillation","docAbstract":"The El Niño–Southern Oscillation (ENSO) is the leading mode of interannual variability, with global impacts on weather and climate that have seasonal predictability. Research on the link between interannual ENSO variability and the leading mode of intraseasonal variability, the Madden–Julian oscillation (MJO), has focused mainly on the role of MJO initiating or terminating ENSO. We use observational analysis and modeling to show that the MJO has an important simultaneous link to ENSO: strong MJO activity significantly weakens the atmospheric branch of ENSO. For weak MJO conditions relative to strong MJO conditions, the average magnitude of ENSO-associated tropical precipitation anomalies increases by 63%, and the strength of hemispheric teleconnections increases by 58%. Since the MJO has predictability beyond three weeks, the relationships shown here suggest that there may be subseasonal predictability of the ENSO teleconnections to continental circulation and precipitation.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2013GL058648","usgsCitation":"Hoell, A., Barlow, M., Wheeler, M., and Funk, C.C., 2014, Disruptions of El Niño–Southern Oscillation teleconnections by the Madden–Julian Oscillation: Geophysical Research Letters, v. 41, no. 3, p. 998-1004, https://doi.org/10.1002/2013GL058648.","productDescription":"7 p.","startPage":"998","endPage":"1004","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053942","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-07","publicationStatus":"PW","scienceBaseUri":"57f7f153e4b0bc0bec09fcef","contributors":{"authors":[{"text":"Hoell, Andrew","contributorId":145803,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":565437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlow, Mathew","contributorId":145834,"corporation":false,"usgs":false,"family":"Barlow","given":"Mathew","affiliations":[{"id":16250,"text":"University of Massechusetts, Lowell","active":true,"usgs":false}],"preferred":false,"id":565438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheeler, Mathew","contributorId":145839,"corporation":false,"usgs":false,"family":"Wheeler","given":"Mathew","email":"","affiliations":[{"id":16254,"text":"The Center for Australian Weather and Climate, Melbourne, Australia","active":true,"usgs":false}],"preferred":false,"id":565439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565436,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074060,"text":"ds822 - 2014 - USGS field activities 11BHM03 and 11BHM04 on the west Florida shelf, Gulf of Mexico, September and November 2011","interactions":[],"lastModifiedDate":"2014-02-15T12:59:01","indexId":"ds822","displayToPublicDate":"2014-02-14T15:54:00","publicationYear":"2014","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":"822","title":"USGS field activities 11BHM03 and 11BHM04 on the west Florida shelf, Gulf of Mexico, September and November 2011","docAbstract":"During September and November 2011 the (USGS), in cooperation with (USF), conducted geochemical surveys on the west Florida Shelf to investigate the effects of climate change on ocean acidification within the northern Gulf of Mexico, specifically, the effect of ocean acidification on marine organisms and habitats. The first cruise was conducted from September 20 to 28 (11BHM03) and the second was from November 2 to 4 (11BHM04). To view each cruise's survey lines, please see the Trackline page. Each cruise took place aboard the Research Vessel (R/V) Weatherbird II, a ship of opportunity led by Dr. Kendra Daly (USF), which departed from and returned to Saint Petersburg, Florida.
\nData collection included sampling of the surface and water column with lab analysis of pH, dissolved inorganic carbon (DIC) or total carbon dioxide (TCO2), and total alkalinity (TA). lLb analysis was augmented with a continuous flow-through system (referred to as sonde data) with a conductivity-temperature-depth (CTD) sensor, which also recorded salinity and pH. Corroborating the USGS data are the vertical CTD profiles (referred to as station samples) collected by USF. The CTD casts measured continuous vertical profiles of oxygen, chlorophyll fluorescence and optical backscatter. Discrete samples for nutrients, chlorophyll, and particulate organic carbon/nitrogen were also collected during the CTD casts. Two autonomous flow-through (AFT) instruments recorded pH and CO2 every 3-5 minutes on each cruise (referred to as AFT data).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds822","usgsCitation":"Robbins, L.L., Knorr, P.O., Daly, K.L., and Barrera, K.E., 2014, USGS field activities 11BHM03 and 11BHM04 on the west Florida shelf, Gulf of Mexico, September and November 2011: U.S. Geological Survey Data Series 822, HTML Document, https://doi.org/10.3133/ds822.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-051017","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds822.jpg"},{"id":282445,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0822/"},{"id":282444,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0822/title.html"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.86,18.18 ], [ -97.86,30.40 ], [ -81.04,30.40 ], [ -81.04,18.18 ], [ -97.86,18.18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7a17e4b0b2908510d445","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daly, Kendra L.","contributorId":79018,"corporation":false,"usgs":true,"family":"Daly","given":"Kendra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrera, Kira E. 0000-0002-2807-4795 kbarrera@usgs.gov","orcid":"https://orcid.org/0000-0002-2807-4795","contributorId":4910,"corporation":false,"usgs":true,"family":"Barrera","given":"Kira","email":"kbarrera@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489362,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074059,"text":"ds712 - 2014 - USGS field activities 11BHM01 and 11BHM02 on the west Florida shelf, Gulf of Mexico, May and June 2011","interactions":[],"lastModifiedDate":"2015-02-02T15:10:14","indexId":"ds712","displayToPublicDate":"2014-02-14T14:37:00","publicationYear":"2014","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":"712","title":"USGS field activities 11BHM01 and 11BHM02 on the west Florida shelf, Gulf of Mexico, May and June 2011","docAbstract":"During May and June 2011 the (USGS), in cooperation with (USF), conducted geochemical surveys on the west Florida Shelf to investigate the effects of climate change on ocean acidification within the northern Gulf of Mexico, specifically, the effect of ocean acidification on marine organisms and habitats. The first cruise was conducted from May 3 to 9 (11BHM01) and the second was from June 25 to 30 (11BHM02). To view each cruise's survey lines, please see the Trackline page. Each cruise took place aboard the Research Vessel (R/V) Weatherbird II, a ship of opportunity led by Dr. Kendra Daly (USF), which departed from and returned to Saint Petersburg, Florida. Data collection included sampling of the surface and water column with lab analysis of pH, dissolved inorganic carbon (DIC) or total carbon dioxide (TCO2), and total alkalinity (TA). lLb analysis was augmented with a continuous flow-through system (referred to as sonde data) with a conductivity-temperature-depth (CTD) sensor, which also recorded salinity and pH. Corroborating the USGS data are the vertical CTD profiles (referred to as station samples) collected by USF. The CTD casts measured continuous vertical profiles of oxygen, chlorophyll fluorescence and optical backscatter. Discrete samples for nutrients, chlorophyll, and particulate organic carbon/nitrogen were also collected during the CTD casts. Two autonomous flow-through (AFT) instruments recorded pH and CO2 every 3-5 minutes on each cruise (referred to as AFT data).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds712","usgsCitation":"Robbins, L.L., Knorr, P.O., Daly, K.L., Taylor, C.A., and Barrera, K.E., 2014, USGS field activities 11BHM01 and 11BHM02 on the west Florida shelf, Gulf of Mexico, May and June 2011: U.S. Geological Survey Data Series 712, HTML Document, https://doi.org/10.3133/ds712.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-040390","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds712.jpg"},{"id":282432,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0712/"},{"id":282433,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0712/title.html"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.143310546875,\n 27.32297494724568\n ],\n [\n -88.143310546875,\n 30.344435586368462\n ],\n [\n -82.37548828125,\n 30.344435586368462\n ],\n [\n -82.37548828125,\n 27.32297494724568\n ],\n [\n -88.143310546875,\n 27.32297494724568\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7a17e4b0b2908510d443","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daly, Kendra L.","contributorId":79018,"corporation":false,"usgs":true,"family":"Daly","given":"Kendra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Carl A.","contributorId":9960,"corporation":false,"usgs":true,"family":"Taylor","given":"Carl","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barrera, Kira E. 0000-0002-2807-4795 kbarrera@usgs.gov","orcid":"https://orcid.org/0000-0002-2807-4795","contributorId":4910,"corporation":false,"usgs":true,"family":"Barrera","given":"Kira","email":"kbarrera@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489357,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048968,"text":"ofr20131107 - 2014 - Field manual for the collection of Navajo Nation streamflow-gage data","interactions":[],"lastModifiedDate":"2014-02-14T10:50:00","indexId":"ofr20131107","displayToPublicDate":"2014-02-14T10:44:00","publicationYear":"2014","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":"2013-1107","title":"Field manual for the collection of Navajo Nation streamflow-gage data","docAbstract":"The Field Manual for the Collection of Navajo Nation Streamflow-Gage Data (Navajo Field Manual) is based on established (standard) U.S. Geological Survey streamflow-gaging methods and provides guidelines specifically designed for the Navajo Department of Water Resources personnel who establish and maintain streamflow gages. The Navajo Field Manual addresses field visits, including essential field equipment and the selection of and routine visits to streamflow-gaging stations, examines surveying methods for determining peak flows (indirect measurements), discusses safety considerations, and defines basic terms.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131107","collaboration":"Prepared in cooperation with the Navajo Nation’s Department of Water Resources, Water Management Branch","usgsCitation":"Hart, R.J., and Fisk, G.G., 2014, Field manual for the collection of Navajo Nation streamflow-gage data: U.S. Geological Survey Open-File Report 2013-1107, vi, 41 p., https://doi.org/10.3133/ofr20131107.","productDescription":"vi, 41 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040678","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":282388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131107.jpg"},{"id":282386,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1107/"},{"id":282387,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1107/pdf/ofr2013-1107.pdf"}],"country":"United States","state":"Arizona;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,35.0 ], [ -112.0,37.5 ], [ -108.0,37.5 ], [ -108.0,35.0 ], [ -112.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5944e4b0b290850f89ae","contributors":{"authors":[{"text":"Hart, Robert J. bhart@usgs.gov","contributorId":598,"corporation":false,"usgs":true,"family":"Hart","given":"Robert","email":"bhart@usgs.gov","middleInitial":"J.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisk, Gregory G.","contributorId":51728,"corporation":false,"usgs":true,"family":"Fisk","given":"Gregory","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":485897,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70068726,"text":"sir20135197 - 2014 - A velocimetric survey of the Lower Missouri River from river mile 492.38 to 290.20, July-October 2011 and July 2012","interactions":[],"lastModifiedDate":"2016-08-10T10:58:33","indexId":"sir20135197","displayToPublicDate":"2014-02-13T12:43:00","publicationYear":"2014","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":"2013-5197","title":"A velocimetric survey of the Lower Missouri River from river mile 492.38 to 290.20, July-October 2011 and July 2012","docAbstract":"Velocimetric surveys were made by the U.S. Geological Survey in 2011 and 2012 to provide data for the U.S. Army Corps of Engineers’ ongoing study of bed degradation in the Lower Missouri River. Using Acoustic Doppler Current Profile technology, velocity data were collected at 87 river miles along the Lower Missouri River from Rulo, Nebraska to Waverly, Missouri, from July to October 2011 and in July 2012, for a total of 118 velocimetric surveys. Multiple-repeat velocimetric surveys were done eight times at three river miles from July to October 2011. Synoptic velocimetric surveys spanning 2–4 days were done twice at ten river miles, once in July 2011 and once in October 2011. Additional synoptic velocimetric surveys were done at proximal river miles in October 2011 and July 2012. Main-channel, near-bed, near-bank, and whole-river velocities were extracted from the Acoustic Doppler Current Profile data using AdMap and compiled as an average of reciprocal pairs for each survey. In addition, the mean velocity computed by the Winriver II software for each survey was integrated with the extracted data.
\n\n
Multiple-repeat velocimetric surveys in the vicinity of Kansas City and Waverly, Missouri, in 2011 indicated that main-channel, near-bed, near-bank, and whole-river velocities generally declined with respect to declining daily mean discharges at the St. Joseph and Waverly, Missouri streamgaging stations. Statistical analysis of the four extracted velocity types indicated that multiple-repeat velocimetric surveys were strongly correlated with daily mean discharges at nearby streamgaging stations (coefficient of determination greater than 0.75). Main-channel velocity exceeded whole-river velocity by an average of 25 percent at river mile 357.70, 22 percent at river mile 357.09, and 6.8 percent at river mile 290.20 for all velocimetric surveys at each location, respectively. Mainchannel, near-bed, near-bank, and whole-river velocities declined about 48 percent from July to October 2011 at the Kansas City sites and about 38 percent at the Waverly site. Winriver II mean velocity from multiple-repeat velocimetric surveys indicated that the relation between all velocities was inconsistent from July to October 2011. Percent changes in channel width from July to October 2011 were typically less than concurrent changes in channel area and instantaneous discharge. The combined synoptic and multiple-repeat survey data for July 2011 did not indicate a clear longitudinal trend of velocity as instantaneous discharge increased downstream. Main-channel velocity exceeded whole-river velocity by an average of 22 percent during July 2011 and in some cases by more than 40 percent (river miles 452.50 and 308.80). Evaluation of 10 pairs of synoptic and synoptic-repeat velocimetric surveys with multiple-repeat velocimetric surveys from July to October 2011 indicated that all velocity types and channel width decreased by about one-third. Channel area and instantaneous discharge decreased by more than 50 percent from July to October 2011 and the percent by which main-channel velocity exceeded whole-river velocity decreased slightly from 22 percent in July to 19 percent. Comparing high (July 2011) to low (October 2011) discharge, where the channel width and area expanded by a factor of nearly 3.0 or more at high discharge (river miles 492.38 to 452.50), main-channel, near-bed, near-bank, and whole-river velocities increased by factors in the range of 1.1 to 1.7 and Winriver II mean velocity decreased. At the Kansas City river miles, all velocity types and channel areas nearly doubled at high discharge and channel widths remained similar to those at low discharge. Multiple-repeat and synoptic velocimetric surveys evaluated in October 2011 indicated that main-channel, near-bed, nearbank, and whole-river velocities generally increased downstream from river miles 424.20 to 404.70 and then decreased, until river mile 290.20, where they increased slightly.
\n\n
Of the July 2012 synoptic velocimetric surveys, velocities near St. Joseph, Missouri, indicated no longitudinal trends in the main-channel, near-bed, near-bank, and whole-river velocities. The Kansas City and Waverly synoptic velocimetric surveys indicated a general decrease in these velocities proceeding downstream. For all 2012 surveys, near-bed velocity was closest in magnitude to Winriver II mean velocity and near-bed and whole-river velocities decreased with increasing channel area. For the entire study, variations in near-bank velocity may have been due to the influence of channel structures and their diversion of higher velocities away from the channel edges.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135197","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Kansas City District","usgsCitation":"Armstrong, D., Wilkison, D.H., and Norman, R.D., 2014, A velocimetric survey of the Lower Missouri River from river mile 492.38 to 290.20, July-October 2011 and July 2012: U.S. Geological Survey Scientific Investigations Report 2013-5197, v, 34 p., https://doi.org/10.3133/sir20135197.","productDescription":"v, 34 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-07-01","temporalEnd":"2012-07-31","ipdsId":"IP-043216","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":282348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135197.jpg"},{"id":282346,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5197/"},{"id":282347,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5197/pdf/sir2013-5197.pdf"}],"projection":"Universal Transverse Mercator","country":"United States","state":"Missouri;Nebraska","city":"Kansas City;St. Joseph;Waverly","otherGeospatial":"Lower Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.04,35.85 ], [ -114.04,49.72 ], [ -89.01,49.72 ], [ -89.01,35.85 ], [ -114.04,35.85 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4acae4b0b290850effd2","contributors":{"authors":[{"text":"Armstrong, Daniel J. armstron@usgs.gov","contributorId":3823,"corporation":false,"usgs":true,"family":"Armstrong","given":"Daniel J.","email":"armstron@usgs.gov","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkison, Donald H. wilkison@usgs.gov","contributorId":3824,"corporation":false,"usgs":true,"family":"Wilkison","given":"Donald","email":"wilkison@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norman, Richard D. rnorman@usgs.gov","contributorId":4086,"corporation":false,"usgs":true,"family":"Norman","given":"Richard","email":"rnorman@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":488040,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70058438,"text":"sim3237 - 2014 - Global geologic map of Ganymede","interactions":[],"lastModifiedDate":"2023-03-16T19:14:54.841414","indexId":"sim3237","displayToPublicDate":"2014-02-12T11:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3237","title":"Global geologic map of Ganymede","docAbstract":"Ganymede is the largest satellite of Jupiter, and its icy surface has been formed through a variety of impact cratering, tectonic, and possibly cryovolcanic processes. The history of Ganymede can be divided into three distinct phases: an early phase dominated by impact cratering and mixing of non-ice materials in the icy crust, a phase in the middle of its history marked by great tectonic upheaval, and a late quiescent phase characterized by a gradual drop in heat flow and further impact cratering. Images of Ganymede suitable for geologic mapping were collected during the flybys of Voyager 1 and Voyager 2 (1979), as well as during the Galileo Mission in orbit around Jupiter (1995–2003). This map represents a synthesis of our understanding of Ganymede geology after the conclusion of the Galileo Mission. We summarize the properties of the imaging dataset used to construct the map, previously published maps of Ganymede, our own mapping rationale, and the geologic history of Ganymede. Additional details on these topics, along with detailed descriptions of the type localities for the material units, may be found in the companion paper to this map (Patterson and others, 2010).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3237","issn":"2329-132X","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Collins, G.C., Patterson, G.W., Head, J.W., Pappalardo, R.T., Prockter, L.M., Lucchitta, B.K., and Kay, J.P., 2014, Global geologic map of Ganymede: U.S. Geological Survey Scientific Investigations Map 3237, Report: i, 4 p.; 1 Plate: 58.02 x 41.00 inches; ReadMe; Metadata; Database, https://doi.org/10.3133/sim3237.","productDescription":"Report: i, 4 p.; 1 Plate: 58.02 x 41.00 inches; ReadMe; Metadata; Database","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039423","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":438774,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91J9GP5","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3237 Global Geologic Map of Ganymede"},{"id":282305,"rank":7,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3237.gif"},{"id":405430,"rank":8,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P91J9GP5","text":"Interactive map","description":"Geoffrey C. Collins, G. Wesley Patterson, James W. Head, Robert T. Pappalardo, Louise M. Prockter, Baerbel K. Lucchitta, and Johnathan P. Kay, 2014, Global geologic map of Ganymede: U.S. Geological Survey Scientific Investigations Map 3237, scale 1:15,000,000, https://doi.org/10.3133/sim3237","linkHelpText":"- Global Geologic Map of Ganymede, 1:15M. Collins et al., (2014)"},{"id":282302,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3237/SIM3237_readme"},{"id":282303,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3237/SIM3237_metadata"},{"id":282301,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3237/pdf/sim3237_mapsheet.pdf"},{"id":282304,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3237/downloads/Ganymede_SIM3237_Database.zip"},{"id":282300,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3237/pdf/sim3237_pamphlet.pdf"},{"id":282299,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3237/"}],"scale":"15000000","otherGeospatial":"Ganymede, Jupiter","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5ef8e4b0b290850fc05c","contributors":{"authors":[{"text":"Collins, Geoffrey C.","contributorId":40512,"corporation":false,"usgs":true,"family":"Collins","given":"Geoffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":487044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patterson, G. Wesley","contributorId":29302,"corporation":false,"usgs":true,"family":"Patterson","given":"G.","email":"","middleInitial":"Wesley","affiliations":[],"preferred":false,"id":487042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Head, James W.","contributorId":70772,"corporation":false,"usgs":false,"family":"Head","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7002,"text":"Department of Earth, Environmental, and Planetary Sciences, Brown University","active":true,"usgs":false}],"preferred":false,"id":487045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pappalardo, Robert T.","contributorId":102380,"corporation":false,"usgs":true,"family":"Pappalardo","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":487047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prockter, Louise M.","contributorId":36850,"corporation":false,"usgs":true,"family":"Prockter","given":"Louise","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":487043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lucchitta, Baerbel K. blucchitta@usgs.gov","contributorId":3649,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Baerbel","email":"blucchitta@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":487041,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kay, Johnathan P.","contributorId":77046,"corporation":false,"usgs":true,"family":"Kay","given":"Johnathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":487046,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168468,"text":"70168468 - 2014 - Do digestive contents confound body mass as a measure of relative condition in nestling songbirds?","interactions":[],"lastModifiedDate":"2016-02-16T11:25:40","indexId":"70168468","displayToPublicDate":"2014-02-12T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Do digestive contents confound body mass as a measure of relative condition in nestling songbirds?","docAbstract":"Relative nestling condition, typically measured as nestling mass or as an index including nestling mass, is commonly purported to correlate with fledgling songbird survival. However, most studies directly investigating fledgling survival have found no such relationship. We weighed feces and stomach contents of nestling golden-winged warblers (Vermivora chrysoptera) to investigate the potential contribution of variation in digestive contents to differences in nestling mass. We estimated that the mass of a seventh-day (near fledging) nestling golden-winged warbler varies by 0.65 g (approx. 9% of mean nestling mass) depending on the contents of the nestling's digestive system at the time of weighing, and that digestive contents are dissimilar among nestlings at any moment the brood is removed from the nest for weighing. Our conservative estimate of within-individual variation in digestive contents equals 72% and 24% of the mean within-brood and population-wide range in nestling mass, respectively. Based on our results, a substantive but typically unknown amount of the variation in body mass among nestlings is confounded by differences in digestive contents. We conclude that short-term variation in digestive contents likely precludes the use of body mass, and therefore any mass-dependent index, as a measure of relative nestling condition or as a predictor of survival in golden-winged warblers and likely in many other songbirds of similar size.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/wsb.406","usgsCitation":"Streby, H.M., Peterson, S.M., Lehman, J.A., Kramer, G.R., Vernasco, B.J., and Andersen, D., 2014, Do digestive contents confound body mass as a measure of relative condition in nestling songbirds?: Wildlife Society Bulletin, v. 38, no. 2, p. 305-310, https://doi.org/10.1002/wsb.406.","productDescription":"6 p.","startPage":"305","endPage":"310","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042152","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":499905,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/cd6f74a4e66d4d3581d5ac797bea7fc5","text":"External Repository"},{"id":318066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-12","publicationStatus":"PW","scienceBaseUri":"56c4563fe4b0946c652184f9","chorus":{"doi":"10.1002/wsb.406","url":"http://dx.doi.org/10.1002/wsb.406","publisher":"Wiley-Blackwell","authors":"Streby Henry M., Peterson Sean M., Lehman Justin A., Kramer Gunnar R., Vernasco Ben J., Andersen David E.","journalName":"Wildlife Society Bulletin","publicationDate":"2/12/2014","auditedOn":"3/24/2015"},"contributors":{"authors":[{"text":"Streby, Henry M.","contributorId":11024,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":620409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Sean M.","contributorId":9354,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":620430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lehman, Justin A.","contributorId":166944,"corporation":false,"usgs":false,"family":"Lehman","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":620431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kramer, Gunnar R.","contributorId":94184,"corporation":false,"usgs":false,"family":"Kramer","given":"Gunnar","email":"","middleInitial":"R.","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":620432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vernasco, Ben J.","contributorId":166945,"corporation":false,"usgs":false,"family":"Vernasco","given":"Ben","email":"","middleInitial":"J.","affiliations":[{"id":24577,"text":"University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":620433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":620434,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70056508,"text":"fs20133110 - 2014 - Delivering climate science about the Nation's fish, wildlife, and ecosystems: the U.S. Geological Survey National Climate Change and Wildlife Science Center","interactions":[],"lastModifiedDate":"2018-04-24T13:55:35","indexId":"fs20133110","displayToPublicDate":"2014-02-11T14:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3110","title":"Delivering climate science about the Nation's fish, wildlife, and ecosystems: the U.S. Geological Survey National Climate Change and Wildlife Science Center","docAbstract":"Changes to the Earth’s climate—temperature, precipitation, and other climate variables—pose significant challenges to our Nation’s natural resources. Managers of land, water, and living resources require an understanding of the impacts of climate change—which exacerbate ongoing stresses such as habitat alteration and invasive species—in order to design effective response strategies. In 2008, Congress created the National Climate Change and Wildlife Science Center (NCCWSC) within the U.S. Geological Survey (USGS). The center was formed to address environmental challenges resulting from climate and land-use change and to provide natural resource managers with rigorous scientific information and effective tools for decision making. Located at the USGS National Headquarters in Reston, Virginia, the NCCWSC has established eight regional Department of the Interior (DOI) Climate Science Centers (CSCs) and has invested over $93 million (through fiscal year 2013) in cutting-edge climate change research.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133110","usgsCitation":"Varela-Acevedo, E., 2014, Delivering climate science about the Nation's fish, wildlife, and ecosystems: the U.S. Geological Survey National Climate Change and Wildlife Science Center: U.S. Geological Survey Fact Sheet 2013-3110, 2 p., https://doi.org/10.3133/fs20133110.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049487","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":282281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133110.jpg"},{"id":282279,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3110/"},{"id":282280,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3110/pdf/fs2013-3110.pdf"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum of 1983","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":"53cd540ce4b0b290850f5834","contributors":{"authors":[{"text":"Varela-Acevedo, Elda evarela-acevedo@usgs.gov","contributorId":292,"corporation":false,"usgs":true,"family":"Varela-Acevedo","given":"Elda","email":"evarela-acevedo@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":486573,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70093696,"text":"ofr20131304 - 2014 - Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona: 2011-2012","interactions":[],"lastModifiedDate":"2014-02-11T13:49:02","indexId":"ofr20131304","displayToPublicDate":"2014-02-11T12:43:00","publicationYear":"2014","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":"2013-1304","title":"Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona: 2011-2012","docAbstract":"The Navajo (N) aquifer is an extensive aquifer and the primary source of groundwater in the 5,400-square-mile Black Mesa area in northeastern Arizona. Availability of water is an important issue in northeastern Arizona because of continued water requirements for industrial and municipal use by a growing population and because of low precipitation in the arid climate of the Black Mesa area. Precipitation in the area typically is between 6 and 14 inches per year.
\nThe U.S. Geological Survey water-monitoring program in the Black Mesa area began in 1971 and provides information about the long-term effects of groundwater withdrawals from the N aquifer for industrial and municipal uses. This report presents results of data collected as part of the monitoring program in the Black Mesa area from January 2011 to September 2012. The monitoring program includes measurements of (1) groundwater withdrawals, (2) groundwater levels, (3) spring discharge, (4) surface-water discharge, and (5) groundwater chemistry.
\nIn 2011, total groundwater withdrawals were 4,480 acre-ft, industrial withdrawals were 1,390 acre-ft, and municipal withdrawals were 3,090 acre-ft. Total withdrawals during 2011 were about 39 percent less than total withdrawals in 2005 because of Peabody Western Coal Company’s discontinued use of water to transport coal in a slurry. From 2010 to 2011 total withdrawals increased by 11 percent; industrial withdrawals increased by approximately 19 percent, and total municipal withdrawals increased by 8 percent.
\nFrom 2011 to 2012, annually measured water levels in the Black Mesa area declined in 8 of 15 wells that were available for comparison in the unconfined areas of the N aquifer, and the median change was -0.1 feet. Water levels declined in 9 of 18 wells measured in the confined area of the aquifer. The median change for the confined area of the aquifer was 0.0 feet. From the prestress period (prior to 1965) to 2012, the median water-level change for 34 wells in both the confined and unconfined areas was -13.4 feet; the median water-level changes were -2.1 feet for 16 wells measured in the unconfined areas and -39.1 feet for 18 wells measured in the confined area.
\nSpring flow was measured at four springs in 2012. Flow fluctuated during the period of record for Burro and Unnamed Spring near Dennehotso, but a decreasing trend was apparent at Moenkopi School Spring and Pasture Canyon Spring. Discharge at Burro Spring has remained relatively constant since it was first measured in the 1980s and discharge at Unnamed Spring near Dennehotso has fluctuated for the period of record. Trend analysis for discharge at Moenkopi and Pasture Canyon Springs yielded a slope significantly different from zero.
\nContinuous records of surface-water discharge in the Black Mesa area were collected from streamflow-gaging stations at the following sites: Moenkopi Wash at Moenkopi 09401260 (1976 to 2010), Dinnebito Wash near Sand Springs 09401110 (1993 to 2010), Polacca Wash near Second Mesa 09400568 (1994 to 2010), and Pasture Canyon Springs 09401265 (2004 to 2010). Median winter flows (November through February) of each water year were used as an index of the amount of groundwater discharge at the above-named sites. For the period of record of each streamflow-gaging station, the median winter flows have generally remained constant, and there are no significant statistical trends in groundwater discharge.
\nIn 2012, water samples collected from 10 wells and 4 springs in the Black Mesa area were analyzed for selected chemical constituents, and the results were compared with previous analyses. Concentrations of dissolved solids, chloride, and sulfate have varied at all 10 wells for the period of record, but neither increasing nor decreasing trends over time were found. Dissolved solids, chloride, and sulfate concentrations increased at Moenkopi School Spring during the more than 12 years of record at that site. Concentrations of dissolved solids, chloride, and sulfate at Pasture Canyon Spring have not varied significantly since the early 1980s, and there is no increasing or decreasing trend in those data. Concentrations of dissolved solids, chloride, and sulfate at Burro Spring and Unnamed Spring near Dennehotso have varied for the period of record, but there is no increasing or decreasing trend in the data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131304","collaboration":"Prepared in cooperation with the Bureau of Indian Affairs and the Arizona Department of Water Resources","usgsCitation":"Macy, J.P., and Unema, J., 2014, Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona: 2011-2012: U.S. Geological Survey Open-File Report 2013-1304, v, 42 p., https://doi.org/10.3133/ofr20131304.","productDescription":"v, 42 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2012-09-30","ipdsId":"IP-045075","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":282269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131304.jpg"},{"id":282267,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1304/"},{"id":282270,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1304/pdf/ofr2013-1304.pdf"}],"scale":"100000","projection":"Lambert Conformal Conic projection","country":"United States","state":"Arizona","otherGeospatial":"Black Mesa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.5,35.5 ], [ -111.5,37.0 ], [ -109.5,37.0 ], [ -109.5,35.5 ], [ -111.5,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5ff6e4b0b290850fc9d6","contributors":{"authors":[{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Unema, Joel A.","contributorId":92577,"corporation":false,"usgs":true,"family":"Unema","given":"Joel A.","affiliations":[],"preferred":false,"id":490153,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70093719,"text":"70093719 - 2014 - Metolachlor metabolite (MESA) reveals agricultural nitrate-N fate and transport in Choptank River watershed","interactions":[],"lastModifiedDate":"2014-02-12T09:49:08","indexId":"70093719","displayToPublicDate":"2014-02-11T09:38:45","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Metolachlor metabolite (MESA) reveals agricultural nitrate-N fate and transport in Choptank River watershed","docAbstract":"Over 50% of streams in the Chesapeake Bay watershed have been rated as poor or very poor based on the index of biological integrity. The Choptank River estuary, a Bay tributary on the eastern shore, is one such waterway, where corn and soybean production in upland areas of the watershed contribute significant loads of nutrients and sediment to streams. We adopted a novel approach utilizing the relationship between the concentration of nitrate-N and the stable, water-soluble herbicide degradation product MESA {2-[2-ethyl-N-(1-methoxypropan-2-yl)-6-methylanilino]-2-oxoethanesulfonic acid} to distinguish between dilution and denitrification effects on the stream concentration of nitrate-N in agricultural subwatersheds. The ratio of mean nitrate-N concentration/(mean MESA concentration * 1000) for 15 subwatersheds was examined as a function of percent cropland on hydric soil. This inverse relationship (R2 = 0.65, p < 0.001) takes into consideration not only dilution and denitrification of nitrate-N, but also the stream sampling bias of the croplands caused by extensive drainage ditch networks. MESA was also used to track nitrate-N concentrations within the estuary of the Choptank River. The relationship between nitrate-N and MESA concentrations in samples collected over three years was linear (0.95 ≤ R2 ≤ 0.99) for all eight sampling dates except one where R2 = 0.90. This very strong correlation indicates that nitrate-N was conserved in much of the Choptank River estuary, that dilution alone is responsible for the changes in nitrate-N and MESA concentrations, and more importantly nitrate-N loads are not reduced in the estuary prior to entering the Chesapeake Bay. Thus, a critical need exists to minimize nutrient export from agricultural production fields and to identify specific conservation practices to address the hydrologic conditions within each subwatershed. In well drained areas, removal of residual N within the cropland is most critical, and practices such as cover crops which sequester the residual N should be strongly encouraged. In poorly drained areas where denitrification can occur, wetland restoration and controlled drained structures that minimize ditch flow should be used to maximize denitrification.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.12.017","usgsCitation":"McCarty, G.W., Hapeman, C.J., Rice, C.P., Hively, W., McConnell, L.L., Sadeghi, A.M., Lang, M., Whitall, D.R., Bialek, K., and Downey, P., 2014, Metolachlor metabolite (MESA) reveals agricultural nitrate-N fate and transport in Choptank River watershed: Science of the Total Environment, v. 473-474, p. 473-482, https://doi.org/10.1016/j.scitotenv.2013.12.017.","productDescription":"10 p.","startPage":"473","endPage":"482","ipdsId":"IP-024932","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":282295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282294,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.12.017"},{"id":282286,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S004896971301471X#"}],"state":"Delaware;Maryl","otherGeospatial":"Choptank River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.1834,37.9472 ], [ -76.1834,39.4227 ], [ -75.0606,39.4227 ], [ -75.0606,37.9472 ], [ -76.1834,37.9472 ] ] ] } } ] }","volume":"473-474","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517055e4b05569d805a32d","contributors":{"authors":[{"text":"McCarty, Gregory W.","contributorId":78861,"corporation":false,"usgs":true,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":490168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hapeman, Cathleen J.","contributorId":63154,"corporation":false,"usgs":true,"family":"Hapeman","given":"Cathleen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Clifford P.","contributorId":56594,"corporation":false,"usgs":true,"family":"Rice","given":"Clifford","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":490164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":9391,"corporation":false,"usgs":true,"family":"Hively","given":"W. Dean","affiliations":[],"preferred":false,"id":490161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McConnell, Laura L.","contributorId":106437,"corporation":false,"usgs":true,"family":"McConnell","given":"Laura","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":490170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sadeghi, Ali M.","contributorId":50645,"corporation":false,"usgs":true,"family":"Sadeghi","given":"Ali","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490163,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lang, Megan W.","contributorId":58014,"corporation":false,"usgs":true,"family":"Lang","given":"Megan W.","affiliations":[],"preferred":false,"id":490166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whitall, David R.","contributorId":24908,"corporation":false,"usgs":true,"family":"Whitall","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":490162,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bialek, Krystyna","contributorId":92968,"corporation":false,"usgs":true,"family":"Bialek","given":"Krystyna","email":"","affiliations":[],"preferred":false,"id":490169,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Downey, Peter","contributorId":57767,"corporation":false,"usgs":true,"family":"Downey","given":"Peter","affiliations":[],"preferred":false,"id":490165,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70073694,"text":"sim3285 - 2014 - Maps showing thermal maturity of Upper Cretaceous marine shales in the Bighorn Basin, Wyoming and Montana","interactions":[],"lastModifiedDate":"2014-02-10T14:43:06","indexId":"sim3285","displayToPublicDate":"2014-02-10T14:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3285","title":"Maps showing thermal maturity of Upper Cretaceous marine shales in the Bighorn Basin, Wyoming and Montana","docAbstract":"The Bighorn Basin is one of many structural and sedimentary basins that formed in the Rocky Mountain foreland during the Laramide orogeny, a period of crustal instability and compressional tectonics that began in latest Cretaceous time and ended in the Eocene. The basin is nearly 180 mi long, 100 mi wide, and encompasses about 10,400 mi2 in north-central Wyoming and south-central Montana. The basin is bounded on the northeast by the Pryor Mountains, on the east by the Bighorn Mountains, and on the south by the Owl Creek Mountains). The north boundary includes a zone of faulting and folding referred to as the Nye-Bowler lineament. The northwest and west margins are formed by the Beartooth Mountains and Absaroka Range, respectively.\n\nImportant conventional oil and gas resources have been discovered and produced from reservoirs ranging in age from Cambrian through Tertiary. In addition, a potential unconventional basin-centered gas accumulation may be present in Cretaceous reservoirs in the deeper parts of the basin. It has been suggested by numerous authors that various Cretaceous marine shales are the principal source rock for these accumulations. Numerous studies of various Upper Cretaceous marine shales in the Rocky Mountain region have led to the general conclusion that these rocks have generated or are capable of generating oil and (or) gas.\n\nIn recent years, advances in horizontal drilling and multistage fracture stimulation have resulted in increased exploration and completion of wells in Cretaceous marine shales in other Rocky Mountain Laramide basins that were previously thought of only as hydrocarbon source rocks. Important parameters controlling hydrocarbon production from these shale reservoirs include: reservoir thickness, amount and type of organic matter, and thermal maturity. The purpose of this report is to present maps and a cross section showing levels of thermal maturity, based on vitrinite reflectance (Ro), for selected Upper Cretaceous marine shales in the Bighorn Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3285","issn":"2329–132X","usgsCitation":"Finn, T.M., and Pawlewicz, M.J., 2014, Maps showing thermal maturity of Upper Cretaceous marine shales in the Bighorn Basin, Wyoming and Montana: U.S. Geological Survey Scientific Investigations Map 3285, Report: iii, 14 p.; 3 Plates: 26.59 x 27.14 inches and smaller, https://doi.org/10.3133/sim3285.","productDescription":"Report: iii, 14 p.; 3 Plates: 26.59 x 27.14 inches and smaller","numberOfPages":"21","onlineOnly":"Y","ipdsId":"IP-049092","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":282229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3285.jpg"},{"id":282226,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3285/pdf/sheet_01.pdf"},{"id":282224,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3285/"},{"id":282227,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3285/pdf/sheet_02.pdf"},{"id":282225,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3285/pdf/sim3285.pdf"},{"id":282228,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3285/pdf/sheet_03.pdf"}],"country":"United States","state":"Montana;Wyoming","otherGeospatial":"Bighorn Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.0,43.5 ], [ -110.0,45.5 ], [ -107.0,45.5 ], [ -107.0,43.5 ], [ -110.0,43.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6641e4b0b29085100a02","contributors":{"authors":[{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawlewicz, Mark J. pawlewicz@usgs.gov","contributorId":752,"corporation":false,"usgs":true,"family":"Pawlewicz","given":"Mark","email":"pawlewicz@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489049,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70072585,"text":"ofr20131303 - 2014 - Change in the length of the southern section of the Chandeleur Islands oil berm, January 13, 2011, through September 3, 2012","interactions":[],"lastModifiedDate":"2014-02-10T13:33:42","indexId":"ofr20131303","displayToPublicDate":"2014-02-10T13:29:00","publicationYear":"2014","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":"2013-1303","title":"Change in the length of the southern section of the Chandeleur Islands oil berm, January 13, 2011, through September 3, 2012","docAbstract":"On April 20, 2010, an explosion on the Deepwater Horizon oil rig drilling at the Macondo Prospect site in the Gulf of Mexico resulted in a marine oil spill that continued to flow through July 15, 2010. One of the affected areas was the Breton National Wildlife Refuge, which consists of a chain of low-lying islands, including Breton Island and the Chandeleur Islands, and their surrounding waters. The island chain is located approximately 115–150 kilometers (km) north-northwest of the spill site. A sand berm was constructed seaward of, and on, the island chain. Construction began at the northern end of Chandeleur Islands in June 2010 and ended in April 2011 after 14 km of berm had been constructed. The berm consisted of three distinct sections based on where the berm was placed relative to the islands. The northern section of the berm was built in open water on a submerged portion of the Chandeleur Islands platform. The middle section was built approximately 70–90 meters (m) seaward of the Chandeleur Islands. The southern section was built on the islands’ beaches. Repeated Landsat and SPOT satellite imagery and airborne light detection and ranging (lidar) were used to observe the disintegration of the berm over time. The methods used to analyze the remotely sensed data and the resulting, derived data for the southern section are reported.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131303","issn":"2332-1258","usgsCitation":"Plant, N.G., and Guy, K.K., 2014, Change in the length of the southern section of the Chandeleur Islands oil berm, January 13, 2011, through September 3, 2012: U.S. Geological Survey Open-File Report 2013-1303, iv, 8 p., https://doi.org/10.3133/ofr20131303.","productDescription":"iv, 8 p.","numberOfPages":"12","onlineOnly":"Y","temporalStart":"2011-01-13","temporalEnd":"2012-09-03","ipdsId":"IP-050824","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131303.jpg"},{"id":282219,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1303/"},{"id":282220,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1303/pdf/of2013-1303.pdf"}],"country":"United States","otherGeospatial":"Breton Island;Chandeleur Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.5,28.5 ], [ -89.5,30.5 ], [ -88.5,30.5 ], [ -88.5,28.5 ], [ -89.5,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd506ae4b0b290850f3524","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":488505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Kristy K. kguy@usgs.gov","contributorId":45010,"corporation":false,"usgs":true,"family":"Guy","given":"Kristy","email":"kguy@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":false,"id":488506,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074262,"text":"ofr20141011 - 2014 - Survival of bacterial indicators and the functional diversity of native microbial communities in the Floridan aquifer system, south Florida","interactions":[],"lastModifiedDate":"2014-02-10T13:19:16","indexId":"ofr20141011","displayToPublicDate":"2014-02-10T13:13:00","publicationYear":"2014","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":"2014-1011","title":"Survival of bacterial indicators and the functional diversity of native microbial communities in the Floridan aquifer system, south Florida","docAbstract":"The Upper Floridan aquifer in the southern region of Florida is a multi-use, regional scale aquifer that is used as a potable water source and as a repository for passively recharged untreated surface waters, and injected treated surface water and wastewater, industrial wastes, including those which contain greenhouse gases (for example, carbon dioxide). The presence of confined zones within the Floridan aquifer that range in salinity from fresh to brackish allow regulatory agencies to permit the injection of these different types of product waters into specific zones without detrimental effects to humans and terrestrial and aquatic ecosystems. The type of recharge that has received the most regulatory attention in south Florida is aquifer storage and recovery (ASR). The treated water, prior to injection and during recovery, must meet primary and secondary drinking water standards. The primary microbiology drinking water standard is total coliforms, which have been shown to be difficult to inactivate below the regulatory standard during the treatment process at some ASR facilities. The inefficient inactivation of this group of indicator bacteria permits their direct injection into the storage zones of the Floridan aquifer. Prior to this study, the inactivation rates for any member of the total coliform group during exposure to native geochemical conditions in groundwater from any zone of the Floridan aquifer had not been derived.\n\nAboveground flow through mesocosms and diffusion chambers were used to quantify the inactivation rates of two bacterial indicators, Escherichia coli and Pseudomonas aeruginosa, during exposure to groundwater from six wells. These wells collect water from two ASR storage zones: the Upper Floridan aquifer (UFA) and Avon Park Permeable Zone (APPZ). Both bacterial strains followed a biphasic inactivation model. The E. coli populations had slower inactivation rates in the UFA (range: 0.217–0.628 per hour (h-1)) during the first phase of the model than when exposed to groundwater from the APPZ (range: 0.540–0.684 h-1). The inactivation rates for the first phase of the models for P. aeruginosa were not significantly different between the UFA (range: 0.144–0.770 h-1) and APPZ (range: 0.159–0.772 h-1) aquifer zones. The inactivation rates for the second phase of the model for this P. aeruginosa were also similar between UFA (range: 0.003–0.008 h-1) and APPZ (0.004–0.005 h-1) zones, although significantly slower than the model’s first phase rates for this bacterial species.\n\nGeochemical data were used to determine which dissimilatory biogeochemical reactions were most likely to occur under the native conditions in the UFA and APPZ zones using thermodynamics principles to calculate free energy yields and other cell-related energetics data. The biogeochemical processes of acetotrophic and hydrogenotrophic sulfate reduction, methanogenesis and anaerobic oxidation of methane dominated in all six groundwater sites.\n\nA high throughput DNA microarray sequencing technology was used to characterize the diversity in the native aquifer bacterial communities (bacteria and archaea) and assign putative physiological capabilities to the members of those communities. The bacterial communities in both zones of the aquifer were shown to possess the capabilities for primary and secondary fermentation, acetogenesis, methanogenesis, anaerobic methane oxidation, syntrophy with methanogens, ammonification, and sulfate reduction.\n\nThe data from this study provide the first determination of bacterial indicator survival during exposure to native geochemical conditions of the Floridan aquifer in south Florida. Additionally, the energetics and functional bacterial diversity characterizations are the first descriptions of native bacterial communities in this region of the Floridan aquifer and reveal how these communities persist under such extreme conditions. Collectively, these types of data can be used to develop and refine groundwater models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141011","issn":"2331-1258","usgsCitation":"Lisle, J.T., 2014, Survival of bacterial indicators and the functional diversity of native microbial communities in the Floridan aquifer system, south Florida: U.S. Geological Survey Open-File Report 2014-1011, vi, 72 p., https://doi.org/10.3133/ofr20141011.","productDescription":"vi, 72 p.","numberOfPages":"78","onlineOnly":"Y","ipdsId":"IP-050699","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141011.jpg"},{"id":282214,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1011/"},{"id":282215,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1011/pdf/of2014-1011.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Avon Park Permeable Zone;Upper Floridian Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5,26.5 ], [ -81.5,27.5 ], [ -80.0,27.5 ], [ -80.0,26.5 ], [ -81.5,26.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7612e4b0b2908510aaab","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489445,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70058701,"text":"sir20135230 - 2014 - Trend analysis and selected summary statistics of annual mean streamflow for 38 selected long-term U.S. Geological Survey streamgages in Texas, water years 1916-2012","interactions":[],"lastModifiedDate":"2016-08-05T13:13:21","indexId":"sir20135230","displayToPublicDate":"2014-02-10T13:03:00","publicationYear":"2014","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":"2013-5230","title":"Trend analysis and selected summary statistics of annual mean streamflow for 38 selected long-term U.S. Geological Survey streamgages in Texas, water years 1916-2012","docAbstract":"In 2013, the U.S. Geological Survey (USGS) operated more than 500 continuous streamgages (streamflow-gaging stations) in Texas. In cooperation with the Texas Water Development Board, the USGS evaluated mean annual streamflow data for 38 selected streamgages that were active as of water year 2012. The 38 streamgages have annual mean streamflow data considered natural and unregulated. Collected annual mean streamflow data for a single streamgage ranged from 49 to 97 cumulative years. The nonparametric Kendall’s tau statistical test was used to detect monotonic trends in annual mean streamflow over time. The monotonic trend analysis detected 2 statistically significant upward trends (0.01 one-tail significance), 1 statistically significant downward trend (0.01 one-tail significance level), and 35 instances of no statistically significant trend (0.02 two-tailed significance level). The Theil slope estimate of a regression slope of annual mean streamflow with time was computed for the three stations where trends in streamflow were detected: 2 increasing Theil slopes were measured (+0.40 and +2.72 cubic feet per second per year, respectively), and 1 decreasing Theil slope (–0.24 cubic feet per second per year) was measured.
\nSelected summary statistics (L-moments) and estimates of respective sampling variances were computed for the 35 streamgages lacking statistically significant trends. From the L-moments and estimated sampling variances, weighted means or regional values were computed for each L-moment. An example application is included demonstrating how the L-moments could be used to evaluate the magnitude and frequency of annual mean streamflow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135230","issn":"2328-0328","collaboration":"Prepared in cooperation with the Texas Water Development Board","usgsCitation":"Asquith, W.H., and Barbie, D.L., 2014, Trend analysis and selected summary statistics of annual mean streamflow for 38 selected long-term U.S. Geological Survey streamgages in Texas, water years 1916-2012 (First posted 2/10/2014; Version 1.1 revised 8/1/2014): U.S. Geological Survey Scientific Investigations Report 2013-5230, iv, 16 p., https://doi.org/10.3133/sir20135230.","productDescription":"iv, 16 p.","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1915-10-01","temporalEnd":"2012-09-30","ipdsId":"IP-052213","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":282213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR20135230.jpg"},{"id":282211,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5230/"},{"id":282212,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5230/pdf/sir2013-5230.pdf"}],"scale":"25000","projection":"Lambert Conformal Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.5,28.0 ], [ -105.5,34.0 ], [ -94.0,34.0 ], [ -94.0,28.0 ], [ -105.5,28.0 ] ] ] } } ] }","edition":"First posted 2/10/2014; Version 1.1 revised 8/1/2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd799de4b0b2908510cef3","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbie, Dana L.","contributorId":64632,"corporation":false,"usgs":true,"family":"Barbie","given":"Dana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135628,"text":"70135628 - 2014 - Structural equation models of VMT growth in US urbanised areas.","interactions":[],"lastModifiedDate":"2015-01-14T11:26:13","indexId":"70135628","displayToPublicDate":"2014-02-10T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3844,"text":"Urban Studies","active":true,"publicationSubtype":{"id":10}},"title":"Structural equation models of VMT growth in US urbanised areas.","docAbstract":"Vehicle miles travelled (VMT) is a primary performance indicator for land use and transportation, bringing with it both positive and negative externalities. This study updates and refines previous work on VMT in urbanised areas, using recent data, additional metrics and structural equation modelling (SEM). In a cross-sectional model for 2010, population, income and freeway capacity are positively related to VMT, while gasoline prices, development density and transit service levels are negatively related. Findings of the cross-sectional model are generally confirmed in a more tightly controlled longitudinal study of changes in VMT between 2000 and 2010, the first model of its kind. The cross-sectional and longitudinal models together, plus the transportation literature generally, give us a basis for generalising across studies to arrive at elasticity values of VMT with respect to different urban variables.
","language":"English","publisher":"Sage Publications","doi":"10.1177/0042098013516521","usgsCitation":"Ewing, R., Hamidi, S., Gallivan, F., Nelson, A.C., and Grace, J.B., 2014, Structural equation models of VMT growth in US urbanised areas.: Urban Studies, v. 51, no. 14, p. 3079-3096, https://doi.org/10.1177/0042098013516521.","productDescription":"18 p.","startPage":"3079","endPage":"3096","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052475","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":297078,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"51","issue":"14","noUsgsAuthors":false,"publicationDate":"2014-02-10","publicationStatus":"PW","scienceBaseUri":"54dd2c64e4b08de9379b3781","contributors":{"authors":[{"text":"Ewing, Reid","contributorId":106010,"corporation":false,"usgs":true,"family":"Ewing","given":"Reid","affiliations":[],"preferred":false,"id":536675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamidi, Shima","contributorId":30909,"corporation":false,"usgs":true,"family":"Hamidi","given":"Shima","affiliations":[],"preferred":false,"id":536676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallivan, Frank","contributorId":48097,"corporation":false,"usgs":true,"family":"Gallivan","given":"Frank","email":"","affiliations":[],"preferred":false,"id":536677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Arthur C.","contributorId":75061,"corporation":false,"usgs":true,"family":"Nelson","given":"Arthur","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":536678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":536674,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70093599,"text":"70093599 - 2014 - Assessing mobility and redistribution patterns of sand and oil agglomerates in the surf zone","interactions":[],"lastModifiedDate":"2014-03-14T11:24:39","indexId":"70093599","displayToPublicDate":"2014-02-10T10:09:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Assessing mobility and redistribution patterns of sand and oil agglomerates in the surf zone","docAbstract":"Heavier-than-water sand and oil agglomerates that formed in the surf zone following the Deepwater Horizon oil spill continued to cause beach re-oiling 3 years after initial stranding. To understand this phenomena and inform operational response now and for future spills, a numerical method to assess the mobility and alongshore movement of these “surface residual balls” (SRBs) was developed and applied to the Alabama and western Florida coasts. Alongshore flow and SRB mobility and potential flux were used to identify likely patterns of transport and deposition. Results indicate that under typical calm conditions, cm-size SRBs are unlikely to move alongshore, whereas mobility and transport is likely during storms. The greater mobility of sand compared to SRBs makes burial and exhumation of SRBs likely, and inlets were identified as probable SRB traps. Analysis of field data supports these model results.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Pollution Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2014.01.004","usgsCitation":"Dalyander, P., Long, J.W., Plant, N.G., and Thompson, D.M., 2014, Assessing mobility and redistribution patterns of sand and oil agglomerates in the surf zone: Marine Pollution Bulletin, v. 80, no. 1-2, p. 200-209, https://doi.org/10.1016/j.marpolbul.2014.01.004.","productDescription":"10 p.","startPage":"200","endPage":"209","numberOfPages":"10","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282207,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpolbul.2014.01.004"}],"country":"United States","state":"Alabama;Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.48,24.61 ], [ -98.48,32.58 ], [ -79.54,32.58 ], [ -79.54,24.61 ], [ -98.48,24.61 ] ] ] } } ] }","volume":"80","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52f9f4dfe4b02baefb041999","contributors":{"authors":[{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":490072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joesph W.","contributorId":35232,"corporation":false,"usgs":true,"family":"Long","given":"Joesph","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":490071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":490070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":490069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70093572,"text":"70093572 - 2014 - Perception, experience, and indigenous knowledge of climate change and variability: the case of Accra, a sub-Saharan African city","interactions":[],"lastModifiedDate":"2014-02-10T09:40:14","indexId":"70093572","displayToPublicDate":"2014-02-10T09:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Perception, experience, and indigenous knowledge of climate change and variability: the case of Accra, a sub-Saharan African city","docAbstract":"Several recent international assessments have concluded that climate change has the potential to reverse the modest economic gains achieved in many developing countries over the past decade. The phenomenon of climate change threatens to worsen poverty or burden populations with additional hardships, especially in poor societies with weak infrastructure and economic well-being. The importance of the perceptions, experiences, and knowledge of indigenous peoples has gained prominence in discussions of climate change and adaptation in developing countries and among international development organizations. Efforts to evaluate the role of indigenous knowledge in adaptation planning, however, have largely focused on rural people and their agricultural livelihoods. This paper presents the results of a study that examines perceptions, experiences, and indigenous knowledge relating to climate change and variability in three communities of metropolitan Accra, which is the capital of Ghana. The study design is based on a three-part conceptual framework and interview process involving risk mapping, mental models, and individual stressor cognition. Most of the residents interviewed in the three communities of urban Accra attributed climate change to the combination of deforestation and the burning of firewood and rubbish. None of the residents associated climate change with fossil fuel emissions from developed countries. Numerous potential adaptation strategies were suggested by the residents, many of which have been used effectively during past drought and flood events. Results suggest that ethnic residential clustering as well as strong community bonds in metropolitan Accra have allowed various groups and long-settled communities to engage in the sharing and transmission of knowledge of weather patterns and trends. Understanding and building upon indigenous knowledge may enhance the design, acceptance, and implementation of climate change adaptation strategies in Accra and urban regions of other developing nations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Regional Environmental Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10113-013-0500-0","usgsCitation":"Codjoe, S.N., Owusu, G., and Burkett, V., 2014, Perception, experience, and indigenous knowledge of climate change and variability: the case of Accra, a sub-Saharan African city: Regional Environmental Change, v. 14, no. 1, p. 369-383, https://doi.org/10.1007/s10113-013-0500-0.","productDescription":"15 p.","startPage":"369","endPage":"383","numberOfPages":"15","ipdsId":"IP-038428","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":282206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282110,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10113-013-0500-0"}],"country":"Ghana","city":"Accra","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.29912,5.513987 ], [ -0.29912,5.66843 ], [ -0.060339,5.66843 ], [ -0.060339,5.513987 ], [ -0.29912,5.513987 ] ] ] } } ] }","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-04","publicationStatus":"PW","scienceBaseUri":"52f9f59ee4b02baefb041a9c","contributors":{"authors":[{"text":"Codjoe, Samuel N.A.","contributorId":22982,"corporation":false,"usgs":true,"family":"Codjoe","given":"Samuel","email":"","middleInitial":"N.A.","affiliations":[],"preferred":false,"id":490045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Owusu, George","contributorId":95800,"corporation":false,"usgs":true,"family":"Owusu","given":"George","email":"","affiliations":[],"preferred":false,"id":490046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkett, Virginia 0000-0003-4746-2862 virginia_burkett@usgs.gov","orcid":"https://orcid.org/0000-0003-4746-2862","contributorId":2867,"corporation":false,"usgs":true,"family":"Burkett","given":"Virginia","email":"virginia_burkett@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":490044,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70066779,"text":"sir20145002 - 2014 - Assessment of conservation easements, total phosphorus, and total suspended solids in West Fork Beaver Creek, Minnesota, 1999-2012","interactions":[],"lastModifiedDate":"2014-02-10T09:12:26","indexId":"sir20145002","displayToPublicDate":"2014-02-10T09:05:00","publicationYear":"2014","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":"2014-5002","title":"Assessment of conservation easements, total phosphorus, and total suspended solids in West Fork Beaver Creek, Minnesota, 1999-2012","docAbstract":"This study examined conservation easements and their effectiveness at reducing phosphorus and solids transport to streams. The U.S. Geological Survey cooperated with the Minnesota Board of Water and Soil Resources and worked collaboratively with the Hawk Creek Watershed Project to examine the West Fork Beaver Creek Basin in Renville County, which has the largest number of Reinvest In Minnesota land retirement contracts in the State (as of 2013). Among all conservation easement programs, a total of 24,218 acres of agricultural land were retired throughout Renville County, and 2,718 acres were retired in the West Fork Beaver Creek Basin from 1987 through 2012. Total land retirement increased steadily from 1987 until 2000. In 2000, land retirement increased sharply because of the Minnesota River Conservation Reserve Enhancement Program, then leveled off when the program ended in 2002.\n\nStreamflow data were collected during 1999 through 2011, and total phosphorus and total suspended solids data were collected during 1999 through 2012. During this period, the highest peak streamflow of 1,320 cubic feet per second was in March 2010. Total phosphorus and total suspended solids are constituents that tend to increase with increases in streamflow. Annual flow-weighted mean total-phosphorus concentrations ranged from 0.140 to 0.759 milligrams per liter, and annual flow-weighted mean total suspended solids concentrations ranged from 21.3 to 217 milligrams per liter. Annual flow-weighted mean total phosphorus and total suspended solids concentrations decreased steadily during the first 4 years of water-quality sample collection. A downward trend in flow-weighted mean total-phosphorus concentrations was significant from 1999 through 2008; however, flow-weighted total-phosphorus concentrations increased substantially in 2009, and the total phosphorus trend was no longer significant. The high annual flow-weighted mean concentrations for total phosphorus and total suspended solids in 2009 were affected by outlier concentrations documented in March 2009.\n\nAgricultural land-retirement data only were available through 2008; therefore, it was not possible to compare total phosphorus and total suspended solids concentrations to agricultural land-retirement data for 2009–11. A downward trend in annual flow-weighted mean total-phosphorus concentrations was related significantly to annual land retirement for 1999–2008. The relation between annual flow-weighted mean total suspended solids concentration and annual land retirement was not statistically significant for 1999–2008. If land-retirement data had been available for 2009–11, it is possible that the relation between total phosphorus and land retirement would no longer be evident because of the marked increase in flow-weighted concentrations during 2009. Alternatively, the increase in annual flow-weighted mean total-phosphorus concentrations during 2009–11 may be because of other factors, including industrial discharges, increases in drain tile installation, changes in land use including decreases in agricultural land retirement after 2008, increases in erosion, increases in phosphorus applications to fields, or unknown causes. Inclusion of land-retirement effects in agency planning along with other factors adds perspective with regard to the broader picture of interdependent systems and allows agencies to make informed decisions on the benefits of perpetual easements compared to limited duration easements.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145002","issn":"2328-0328","collaboration":"Prepared in cooperation with the Minnesota Board of Water and Soil Resources","usgsCitation":"Christensen, V.G., and Kieta, K.A., 2014, Assessment of conservation easements, total phosphorus, and total suspended solids in West Fork Beaver Creek, Minnesota, 1999-2012: U.S. Geological Survey Scientific Investigations Report 2014-5002, Report: vi, 16 p.; Table 1-1, https://doi.org/10.3133/sir20145002.","productDescription":"Report: vi, 16 p.; Table 1-1","numberOfPages":"28","onlineOnly":"Y","temporalStart":"1999-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-025147","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":282195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145002.jpg"},{"id":282132,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5002/"},{"id":282192,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5002/pdf/sir2014-5002.pdf"},{"id":282193,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5002/downloads/Table1-1.xlsx"}],"scale":"100000","projection":"Universal Transverse Mercator Projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Minnesota","otherGeospatial":"West Fork Beaver Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.5,44.5 ], [ -95.5,45.0 ], [ -94.5,45.0 ], [ -94.5,44.5 ], [ -95.5,44.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4e2be4b0b290850f1ef9","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kieta, Kristen A. kkieta@usgs.gov","contributorId":5524,"corporation":false,"usgs":true,"family":"Kieta","given":"Kristen","email":"kkieta@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":487985,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70160691,"text":"70160691 - 2014 - The effect of adjusting model inputs to achieve mass balance on time-dynamic simulations in a food-web model of Lake Huron","interactions":[],"lastModifiedDate":"2015-12-31T12:55:46","indexId":"70160691","displayToPublicDate":"2014-02-10T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"The effect of adjusting model inputs to achieve mass balance on time-dynamic simulations in a food-web model of Lake Huron","docAbstract":"Ecopath with Ecosim (EwE) is a widely used modeling tool in fishery research and management. Ecopath requires a mass-balanced snapshot of a food web at a particular point in time, which Ecosim then uses to simulate changes in biomass over time. Initial inputs to Ecopath, including estimates for biomasses, production to biomass ratios, consumption to biomass ratios, and diets, rarely produce mass balance, and thus ad hoc changes to inputs are required to balance the model. There has been little previous research of whether ad hoc changes to achieve mass balance affect Ecosim simulations. We constructed an EwE model for the offshore community of Lake Huron, and balanced the model using four contrasting but realistic methods. The four balancing methods were based on two contrasting approaches; in the first approach, production of unbalanced groups was increased by increasing either biomass or the production to biomass ratio, while in the second approach, consumption of predators on unbalanced groups was decreased by decreasing either biomass or the consumption to biomass ratio. We compared six simulation scenarios based on three alternative assumptions about the extent to which mortality rates of prey can change in response to changes in predator biomass (i.e., vulnerabilities) under perturbations to either fishing mortality or environmental production. Changes in simulated biomass values over time were used in a principal components analysis to assess the comparative effect of balancing method, vulnerabilities, and perturbation types. Vulnerabilities explained the most variation in biomass, followed by the type of perturbation. Choice of balancing method explained little of the overall variation in biomass. Under scenarios where changes in predator biomass caused large changes in mortality rates of prey (i.e., high vulnerabilities), variation in biomass was greater than when changes in predator biomass caused only small changes in mortality rates of prey (i.e., low vulnerabilities), and was amplified when environmental production was increased. When standardized to mean changes in biomass within each scenario, scenarios when vulnerabilities were low and when fishing mortality was increased explained the most variation in biomass. Our findings suggested that approaches to balancing Ecopath models have relatively little effect on changes in biomass over time, especially when compared to assumptions about how mortality rates of prey change in response to changes in predator biomass. We concluded that when constructing food-web models using EwE, determining the effect of changes in predator biomass on mortality rates of prey should be prioritized over determining the best way to balance the model.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2013.10.027","collaboration":"Brian Langseth; Michael Jones","usgsCitation":"Langseth, B.J., Jones, M., and Riley, S.C., 2014, The effect of adjusting model inputs to achieve mass balance on time-dynamic simulations in a food-web model of Lake Huron: Ecological Modelling, v. 273, p. 44-54, https://doi.org/10.1016/j.ecolmodel.2013.10.027.","productDescription":"11 p.","startPage":"44","endPage":"54","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049726","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312965,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2013.10.027"}],"country":"United States; Canada","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.75976562499999,\n 46.21785176740299\n ],\n [\n -83.91357421875,\n 46.00459325574482\n ],\n [\n -84.55078125,\n 45.99696161820381\n ],\n [\n -84.715576171875,\n 45.85176048817254\n ],\n [\n -84.649658203125,\n 45.73685954736049\n ],\n [\n -84.287109375,\n 45.65244828675087\n ],\n [\n -84.08935546875,\n 45.521743896993634\n ],\n [\n -83.507080078125,\n 45.35214524585177\n ],\n [\n -83.265380859375,\n 45.034714778688624\n ],\n [\n -83.3642578125,\n 45.058001435398296\n ],\n [\n -83.46313476562499,\n 44.98034238084973\n ],\n [\n -83.397216796875,\n 44.91035917458495\n ],\n [\n -83.33129882812499,\n 44.78573392716592\n ],\n [\n -83.3203125,\n 44.44162421758805\n ],\n [\n -83.49609375,\n 44.2294565683017\n ],\n [\n -83.726806640625,\n 44.01652134387754\n ],\n [\n -83.880615234375,\n 43.96119063892024\n ],\n [\n -83.95751953125,\n 43.77109381775651\n ],\n [\n -83.70483398437499,\n 43.59630591596548\n ],\n [\n -83.4521484375,\n 43.731414013769\n ],\n [\n -83.22143554687499,\n 43.96119063892024\n ],\n [\n -82.94677734375,\n 44.04811573082351\n ],\n [\n -82.694091796875,\n 43.937461690316646\n ],\n [\n -82.4853515625,\n 43.197167282501276\n ],\n [\n -82.41943359375,\n 42.96446257387128\n ],\n [\n -81.968994140625,\n 43.1811470593997\n ],\n [\n -81.705322265625,\n 43.42100882994726\n ],\n [\n -81.749267578125,\n 44.04811573082351\n ],\n [\n -81.595458984375,\n 44.33170718680922\n ],\n [\n -81.287841796875,\n 44.645208223744035\n ],\n [\n -81.67236328125,\n 45.259422036351694\n ],\n [\n -81.4306640625,\n 45.259422036351694\n ],\n [\n -81.298828125,\n 45.26715476332791\n ],\n [\n -81.2548828125,\n 45.0502402697946\n ],\n [\n -81.068115234375,\n 44.89479576469787\n ],\n [\n -80.936279296875,\n 44.77013681219717\n ],\n [\n -80.91430664062499,\n 44.61393394730626\n ],\n [\n -80.66162109375,\n 44.715513732021336\n ],\n [\n -80.17822265625,\n 44.52001001133986\n ],\n [\n -80.013427734375,\n 44.56699093657141\n ],\n [\n -80.123291015625,\n 44.75453548416007\n ],\n [\n -80.057373046875,\n 44.85586880735725\n ],\n [\n -79.82666015625,\n 44.77013681219717\n ],\n [\n -79.73876953125,\n 44.762336674810996\n ],\n [\n -80.079345703125,\n 45.120052841530516\n ],\n [\n -80.74951171875,\n 45.836454050187726\n ],\n [\n -81.375732421875,\n 45.98169518512228\n ],\n [\n -81.903076171875,\n 46.14178273759234\n ],\n [\n -82.85888671875,\n 46.20264638061019\n ],\n [\n -83.7158203125,\n 46.263442671779885\n ],\n [\n -83.75976562499999,\n 46.21785176740299\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"273","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56865fcae4b0e7594ee74cd7","contributors":{"authors":[{"text":"Langseth, Brian J.","contributorId":60934,"corporation":false,"usgs":true,"family":"Langseth","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":583571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Michael L.","contributorId":7219,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583570,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144434,"text":"70144434 - 2014 - Identifying objectives and alternative actions to frame a decision problem.","interactions":[],"lastModifiedDate":"2015-10-23T15:57:40","indexId":"70144434","displayToPublicDate":"2014-02-08T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Identifying objectives and alternative actions to frame a decision problem.","docAbstract":"In this chapter, we discuss the role of objectives and alternative actions in framing a natural resource management decision problem, with particular attention to thresholds. We outline a number of considerations in developing objectives and measurable attributes, including when utility thresholds may be needed to express the decision-makers’ values.We also discuss the development of a set of alternative actions, and how these might give rise to decision thresholds, particularly when the predictive models contain ecological thresholds. Framing of a decision problem plays a central role in decision analysis because it helps determine the needs for a predictive ecological model, the type of solution method required, and the value and structure of a monitoring system.
","language":"English","publisher":"Springer New York","publisherLocation":"New York City, New York","doi":"10.1007/978-1-4899-8041-0_3","usgsCitation":"Runge, M.C., and Walshe, T., 2014, Identifying objectives and alternative actions to frame a decision problem., p. 29-43, https://doi.org/10.1007/978-1-4899-8041-0_3.","productDescription":"14 p.","startPage":"29","endPage":"43","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061262","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":310617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-08","publicationStatus":"PW","scienceBaseUri":"562b5a30e4b00162522207d1","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":543591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walshe, Terry","contributorId":28151,"corporation":false,"usgs":true,"family":"Walshe","given":"Terry","affiliations":[],"preferred":false,"id":543592,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70049032,"text":"ofr20131228 - 2014 - Active tensor magnetic gradiometer system final report for Project MM–1514","interactions":[],"lastModifiedDate":"2025-05-14T18:52:40.696917","indexId":"ofr20131228","displayToPublicDate":"2014-02-07T17:08:00","publicationYear":"2014","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":"2013-1228","title":"Active tensor magnetic gradiometer system final report for Project MM–1514","docAbstract":"An interactive computer simulation program, based on physical models of system sensors, platform geometry, Earth environment, and spheroidal magnetically-permeable targets, was developed to generate synthetic magnetic field data from a conceptual tensor magnetic gradiometer system equipped with an active primary field generator. The system sensors emulate the prototype tensor magnetic gradiometer system (TMGS) developed under a separate contract for unexploded ordnance (UXO) detection and classification. Time-series data from different simulation scenarios were analyzed to recover physical dimensions of the target source. Helbig-Euler simulations were run with rectangular and rod-like source bodies to determine whether such a system could separate the induced component of the magnetization from the remanent component for each target. This report concludes with an engineering assessment of a practical system design.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131228","collaboration":"Prepared in cooperation with the U.S. Department of Defense Strategic Environmental R esearch and Development Program","usgsCitation":"Smith, D.V., Phillips, J.D., and Hutton, S.R., 2014, Active tensor magnetic gradiometer system final report for Project MM–1514: U.S. Geological Survey Open-File Report 2013-1228, v, 39 p., https://doi.org/10.3133/ofr20131228.","productDescription":"v, 39 p.","onlineOnly":"Y","ipdsId":"IP-049589","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":282131,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131228.jpg"},{"id":282130,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1228/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4b17e4b0b290850f0259","contributors":{"authors":[{"text":"Smith, David V. 0000-0003-0426-4401 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0426-4401","contributorId":1306,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":486056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Jeffrey D. 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":1572,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":486057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutton, S. Raymond","contributorId":45627,"corporation":false,"usgs":true,"family":"Hutton","given":"S.","email":"","middleInitial":"Raymond","affiliations":[],"preferred":false,"id":486058,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70093437,"text":"70093437 - 2014 - The transport of nonindigenous microorganisms into caves by human visitation: a case study at Carlsbad Caverns National Park","interactions":[],"lastModifiedDate":"2014-02-07T10:29:07","indexId":"70093437","displayToPublicDate":"2014-02-07T10:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1800,"text":"Geomicrobiology Journal","active":true,"publicationSubtype":{"id":10}},"title":"The transport of nonindigenous microorganisms into caves by human visitation: a case study at Carlsbad Caverns National Park","docAbstract":"A series of atmospheric investigations was conducted in Carlsbad Cavern to determine if human visitation is a possible cause for the contamination of the cave system with non-indigenous microorganisms. In 2004, site-specific culture-based data demonstrated that Staphylococcus spp. colony-forming units (CFUs) were the most prevalent members of the atmospheric community along the paved visitor trail (avg. 18.8% of CFU), while Knoellia spp. CFUs dominated off-trail locations (40.1% of CFU). Fungal culture data revealed that Penicillium and Aspergillus were prevalent in the Lunch Room where food is stored, sold, and consumed. Ubiquitous genera such as Cladosporium and Alternaria were prevalent near the Natural Entrance of the cave, and the general trend was a decrease in fungal CFUs with progression into the cave system, except for the area near the Lunch Room. Management practices such as prohibition of crumb-generating types of foods could be considered to protect cave health. In 2009, nonculture-based analyses demonstrated that Enterobacteriaceae were the dominant microbiota at sites along the descent trail and within the Lunch Room. Dominance of Enterobacteriaceae has not been previously demonstrated in caves. Either they are naturally occurring indigenous members, or their presence is a marker of anthropogenic contamination.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomicrobiology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/01490451.2013.815294","usgsCitation":"Griffin, D.W., Gray, M.A., Lyles, M.B., and Northup, D.E., 2014, The transport of nonindigenous microorganisms into caves by human visitation: a case study at Carlsbad Caverns National Park: Geomicrobiology Journal, v. 31, no. 3, p. 175-185, https://doi.org/10.1080/01490451.2013.815294.","productDescription":"11 p.","startPage":"175","endPage":"185","numberOfPages":"11","ipdsId":"IP-043494","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282106,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01490451.2013.815294"},{"id":282107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Carlsbad Cavern National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.686229,32.040062 ], [ -104.686229,32.198441 ], [ -104.372213,32.198441 ], [ -104.372213,32.040062 ], [ -104.686229,32.040062 ] ] ] } } ] }","volume":"31","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-01-30","publicationStatus":"PW","scienceBaseUri":"52f60192e4b0a96309ccea13","contributors":{"authors":[{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":490009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Michael A. 0000-0002-3856-5037 mgray@usgs.gov","orcid":"https://orcid.org/0000-0002-3856-5037","contributorId":3532,"corporation":false,"usgs":true,"family":"Gray","given":"Michael","email":"mgray@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":490010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyles, Michael B.","contributorId":7187,"corporation":false,"usgs":true,"family":"Lyles","given":"Michael","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":490011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Northup, Diana E.","contributorId":83836,"corporation":false,"usgs":true,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490012,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70058455,"text":"sir20135226 - 2014 - Geochemistry of groundwater in the Beaver and Camas Creek drainage basins, eastern Idaho","interactions":[],"lastModifiedDate":"2014-02-07T08:07:04","indexId":"sir20135226","displayToPublicDate":"2014-02-07T07:40:00","publicationYear":"2014","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":"2013-5226","title":"Geochemistry of groundwater in the Beaver and Camas Creek drainage basins, eastern Idaho","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, is studying the fate and transport of waste solutes in the eastern Snake River Plain (ESRP) aquifer at the Idaho National Laboratory (INL) in eastern Idaho. This effort requires an understanding of the natural and anthropogenic geochemistry of groundwater at the INL and of the important physical and chemical processes controlling the geochemistry. In this study, the USGS applied geochemical modeling to investigate the geochemistry of groundwater in the Beaver and Camas Creek drainage basins, which provide groundwater recharge to the ESRP aquifer underlying the northeastern part of the INL.
\nData used in this study include petrology and mineralogy from 2 sediment and 3 rock samples, and water-quality analyses from 4 surface-water and 18 groundwater samples. The mineralogy of the sediment and rock samples was analyzed with X-ray diffraction, and the mineralogy and petrology of the rock samples were examined in thin sections. The water samples were analyzed for field parameters, major ions, silica, nutrients, dissolved organic carbon, trace elements, tritium, and the stable isotope ratios of hydrogen, oxygen, carbon, sulfur, and nitrogen.
\nGroundwater geochemistry was influenced by reactions with rocks of the geologic terranes—carbonate rocks, rhyolite, basalt, evaporite deposits, and sediment comprised of all of these rocks. Agricultural practices near and south of Dubois and application of road anti-icing liquids on U.S. Interstate Highway 15 were likely sources of nitrate, chloride, calcium, and magnesium to groundwater.
\nGroundwater geochemistry was successfully modeled in the alluvial aquifer in Camas Meadows and the ESRP fractured basalt aquifer using the geochemical modeling code PHREEQC. The primary geochemical processes appear to be precipitation or dissolution of calcite and dissolution of silicate minerals. Dissolution of evaporite minerals, associated with Pleistocene Lake Terreton, is an important contributor of solutes in the Mud Lake-Dubois area. Oxidation-reduction reactions are important influences on the chemistry of groundwater at Camas Meadows and the Camas National Wildlife Refuge. In addition, mixing of different groundwaters or surface water with groundwater appears to be an important physical process influencing groundwater geochemistry in much of the study area, and evaporation may be an important physical process influencing the groundwater geochemistry of the Camas National Wildlife Refuge. The mass-balance modeling results from this study provide an explanation of the natural geochemistry of groundwater in the ESRP aquifer northeast of the INL, and thus provide a starting point for evaluating the natural and anthropogenic geochemistry of groundwater at the INL.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135226","collaboration":"DOE/ID-22227. Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Rattray, G.W., and Ginsbach, M.L., 2014, Geochemistry of groundwater in the Beaver and Camas Creek drainage basins, eastern Idaho: U.S. Geological Survey Scientific Investigations Report 2013-5226, viii, 70 p., https://doi.org/10.3133/sir20135226.","productDescription":"viii, 70 p.","numberOfPages":"82","onlineOnly":"Y","ipdsId":"IP-037491","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":282086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135226.jpg"},{"id":282084,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5226/"},{"id":282085,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5226/pdf/sir2013-5226.pdf"}],"datum":"NAD 1927","country":"United States","state":"Idaho","otherGeospatial":"Beaver Creek;Camas Creek;Camas National Wildlife Refuge;Eastern Snake River Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.2006,41.9922 ], [ -115.2006,45.3019 ], [ -110.3906,45.3019 ], [ -110.3906,41.9922 ], [ -115.2006,41.9922 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5b02e4b0b290850f9bca","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ginsbach, Michael L.","contributorId":56972,"corporation":false,"usgs":true,"family":"Ginsbach","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487061,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}