The influence of stream flow on salmon smolt emigration survival is a topic of widespread management interest. We collected smolt survival data to inform flow management decisions in the Yakima Basin. The Yakima River watershed drains the eastern slopes of the Cascade Mountain Range in central Washington State. The upper basin is comprised of two major tributaries–the Naches River and the upper Yakima River. Headwater storage reservoirs capture runoff during the winter and spring seasons to support downstream irrigation needs. During summer months, water is conveyed through the upper Yakima River and diverted at Roza Dam, a major irrigation diversion that supplies water to the Roza Irrigation District and to a hydroelectric plant located near Yakima, Washington.
\nTo assess smolt survival in the 18 km reach downstream of Roza Dam, a radio telemetry project will be carried out over a three-year timeframe. The first year of study was designed to provide baseline survival estimates at two distinct flow treatments during the spring migration period. The goal was to establish flow treatments that were as divergent as possible in order to maximize the observed effect of environmental conditions on smolt survival. In total, three experimental trials were carried out in 2012–one during low flow conditions (<600 cfs) and two during high flows (>3000 cfs). Data from the first year will be used to determine experimental design requirements to adequately address study objectives in years two and three.
\nIn the spring of 2012, fixed telemetry monitoring stations were established in strategic locations upstream and downstream of Roza Dam. Yearling Chinook salmon Oncorhynchus tshawytscha smolts originating from Cle Elum Hatchery were captured at the Roza Dam fish screen bypass facility, implanted with radio tags, and released upstream of Roza Dam. Each release group of 50 fish was paired with a high or low flow condition. Fish movements were tracked as tagged fish passed each monitoring station during their migration down the upper Yakima River, through Roza Dam, past the Naches River confluence, and eventually through Sunnyside and Prosser Dams. At the conclusion of field data collection, survival rates for each release group were calculated using Cormack-Jolly-Seber mark-recapture models.
\nYearling Chinook smolt survival and travel time estimates from 2012 suggest that migration rates and survival rates in the Roza Reach may be associated with stream flow, water temperature, release timing (i.e. migratory disposition), and fish size, but the extent to which each variable influenced survival is yet to be determined. The lowest survival rate (61%) and longest travel time (median 2.26 days) was observed in Release Group 1, which had the smallest size distribution and experienced the lowest flows, lowest temperatures, and earliest release date among the three groups. Release Groups 2 and 3 survived at 96% and 98% respectively and traveled through the Roza Reach in less than eight hours. The primary focus of years two and three of this study will be to collect data that minimizes the effect of confounding explanatory variables, so that flow effects on emigration survival can be quantified independent of these other influential factors.
","language":"English","publisher":"Cramer Fish Sciences","collaboration":"Annual report prepared for: Yakima Basin Joint Board, U.S. Bureau of Reclamation, System Operations Advisory Committee","usgsCitation":"Courter, Garrison, Kock, T.J., and Perry, R.W., 2012, Evaluation of stream flow effects on smolt survival in the Yakima River basin, Washington, 31 p.","productDescription":"31 p.","numberOfPages":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042239","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320892,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fishsciences.net/reports/view_report.php?rid=6222"}],"country":"United States","state":"Washington","otherGeospatial":"Naches River, Roza Reach, Yakima River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.06933593749999,\n 45.97406038956237\n ],\n [\n -121.06933593749999,\n 47.33510005753562\n ],\n [\n -119.783935546875,\n 47.33510005753562\n ],\n [\n -119.783935546875,\n 45.97406038956237\n ],\n [\n -121.06933593749999,\n 45.97406038956237\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5729cbb2e4b0b13d3919a32f","contributors":{"authors":[{"text":"Courter, Ian","contributorId":121196,"corporation":false,"usgs":true,"family":"Courter","suffix":"Ian","affiliations":[],"preferred":false,"id":517019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrison, Tommy","contributorId":115917,"corporation":false,"usgs":true,"family":"Garrison","suffix":"Tommy","affiliations":[],"preferred":false,"id":517016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628533,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043893,"text":"70043893 - 2012 - Bioenergy potential of the United States constrained by satellite observations of existing productivity","interactions":[],"lastModifiedDate":"2013-04-07T08:55:45","indexId":"70043893","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Bioenergy potential of the United States constrained by satellite observations of existing productivity","docAbstract":"Background/Question/Methods \nCurrently, the United States (U.S.) supplies roughly half the world’s biofuel (secondary bioenergy), with the Energy Independence and Security Act of 2007 (EISA) stipulating an additional three-fold increase in annual production by 2022. Implicit in such energy targets is an associated increase in annual biomass demand (primary bioenergy) from roughly 2.9 to 7.4 exajoules (EJ; 1018 Joules). Yet, many of the factors used to estimate future bioenergy potential are relatively unresolved, bringing into question the practicality of the EISA’s ambitious bioenergy targets. Here, our objective was to constrain estimates of primary bioenergy potential (PBP) for the conterminous U.S. using satellite-derived net primary productivity (NPP) data (measured for every 1 km2 of the 7.2 million km2 of vegetated land in the conterminous U.S) as the most geographically explicit measure of terrestrial growth capacity. \n\nResults/Conclusions \nWe show that the annual primary bioenergy potential (PBP) of the conterminous U.S. realistically ranges from approximately 5.9 (± 1.4) to 22.2 (± 4.4) EJ, depending on land use. The low end of this range represents current harvest residuals, an attractive potential energy source since no additional harvest land is required. In contrast, the high end represents an annual harvest over an additional 5.4 million km2 or 75% of vegetated land in the conterminous U.S. While we identify EISA energy targets as achievable, our results indicate that meeting such targets using current technology would require either an 80% displacement of current croplands or the conversion of 60% of total rangelands. Our results differ from previous evaluations in that we use high resolution, satellite-derived NPP as an upper-envelope constraint on bioenergy potential, which removes the need for extrapolation of plot-level observed yields over large spatial areas. Establishing realistically constrained estimates of bioenergy potential seems a critical next step for effectively incorporating bioenergy into future U.S. energy portfolios.","largerWorkTitle":"Ecological Society of America 97th Annual Meeting, August 5-10, 2012, Portland, Oregon","language":"English","publisher":"Ecological Society of America","usgsCitation":"Reed, S.C., Smith, W.K., Cleveland, C.C., Miller, N., and Running, S.W., 2012, Bioenergy potential of the United States constrained by satellite observations of existing productivity, in Ecological Society of America 97th Annual Meeting, August 5-10, 2012, Portland, Oregon.","numberOfPages":"1","ipdsId":"IP-035942","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":270637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270636,"type":{"id":11,"text":"Document"},"url":"https://eco.confex.com/eco/2012/webprogram/Paper36186.html"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5162956ce4b0c25842758cf3","contributors":{"authors":[{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":474406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, William K.","contributorId":23544,"corporation":false,"usgs":true,"family":"Smith","given":"William","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":474408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Cory C.","contributorId":10264,"corporation":false,"usgs":true,"family":"Cleveland","given":"Cory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":474407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Norman L.","contributorId":87830,"corporation":false,"usgs":true,"family":"Miller","given":"Norman L.","affiliations":[],"preferred":false,"id":474410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Running, Steven W. 0000-0001-6906-3841","orcid":"https://orcid.org/0000-0001-6906-3841","contributorId":53258,"corporation":false,"usgs":false,"family":"Running","given":"Steven","email":"","middleInitial":"W.","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":474409,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043870,"text":"70043870 - 2012 - Epidemiology of a Salmonella enterica subsp. Enterica serovar Typhimurium strain associated with a songbird outbreak.","interactions":[],"lastModifiedDate":"2015-06-10T17:50:30","indexId":"70043870","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Epidemiology of a Salmonella enterica subsp. Enterica serovar Typhimurium strain associated with a songbird outbreak.","docAbstract":"Salmonella enterica subsp. enterica serovar Typhimurium is responsible for the majority of salmonellosis cases worldwide. This Salmonella serovar is also responsible for die-offs in songbird populations. In 2009, there was an S. Typhimurium epizootic reported in pine siskins in the eastern United States. At the time, there was also a human outbreak with this serovar that was associated with contaminated peanuts. As peanuts are also used in wild-bird food, it was hypothesized that the pine siskin epizootic was related to this human outbreak. A comparison of songbird and human S. Typhimurium pulsed-field gel electrophoresis (PFGE) patterns revealed that the epizootic was attributed not to the peanut-associated strain but, rather, to a songbird strain first characterized from an American goldfinch in 1998. This same S. Typhimurium strain (PFGE type A3) was also identified in the PulseNet USA database, accounting for 137 of 77,941 total S. Typhimurium PFGE entries. A second molecular typing method, multiple-locus variable-number tandem-repeat analysis (MLVA), confirmed that the same strain was responsible for the pine siskin epizootic in the eastern United States but was distinct from a genetically related strain isolated from pine siskins in Minnesota. The pine siskin A3 strain was first encountered in May 2008 in an American goldfinch and later in a northern cardinal at the start of the pine siskin epizootic. MLVA also confirmed the clonal nature of S. Typhimurium in songbirds and established that the pine siskin epizootic strain was unique to the finch family. For 2009, the distribution of PFGE type A3 in passerines and humans mirrored the highest population density of pine siskins for the East Coast.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied and Environmental Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.01408-12","usgsCitation":"Blehert, D., Hernandez, S.M., Keel, K., Sanchez, S., Trees, E., and Peter Gerner-Smidt, 2012, Epidemiology of a Salmonella enterica subsp. Enterica serovar Typhimurium strain associated with a songbird outbreak.: Applied and Environmental Microbiology, v. 78, no. 20, p. 7290-7298, https://doi.org/10.1128/AEM.01408-12.","startPage":"7290","endPage":"7298","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037645","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474234,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.01408-12","text":"Publisher Index Page"},{"id":268016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1128/AEM.01408-12"}],"country":"United 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Kevin","contributorId":90996,"corporation":false,"usgs":true,"family":"Keel","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":474351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanchez, Susan","contributorId":19054,"corporation":false,"usgs":true,"family":"Sanchez","given":"Susan","email":"","affiliations":[],"preferred":false,"id":474349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trees, Eija","contributorId":92944,"corporation":false,"usgs":true,"family":"Trees","given":"Eija","email":"","affiliations":[],"preferred":false,"id":474352,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peter Gerner-Smidt","contributorId":127941,"corporation":true,"usgs":false,"organization":"Peter Gerner-Smidt","id":535440,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70045239,"text":"70045239 - 2012 - The past as prelude to the future for understanding 21st-century climate effects on Rocky Mountain Trout","interactions":[],"lastModifiedDate":"2013-04-25T11:19:04","indexId":"70045239","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"The past as prelude to the future for understanding 21st-century climate effects on Rocky Mountain Trout","docAbstract":"Bioclimatic models predict large reductions in native trout across the Rocky Mountains in the 21st century but lack details about how changes will occur. Through five case histories across the region, we explore how a changing climate has been affecting streams and the potential consequences for trout. Monitoring records show trends in temperature and hydrographs consistent with a warming climate in recent decades. Biological implications include upstream shifts in thermal habitats, risk of egg scour, increased wildfire disturbances, and declining summer habitat volumes. The importance of these factors depends on the context, but temperature increases are most relevant where population boundaries are mediated by thermal constraints. Summer flow declines and wildfires will be important where trout populations are fragmented and constrained to small refugia. A critical information gap is evidence documenting how populations are adjusting to long-term habitat trends, so biological monitoring is a priority. Biological, temperature, and discharge data from monitoring networks could be used to develop accurate vulnerability assessments that provide information regarding where conservation actions would best improve population resilience. Even with better information, future uncertainties will remain large due to unknowns regarding Earth's ultimate warming trajectory and how effects translate across scales. Maintaining or increasing the size of habitats could provide a buffer against these uncertainties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2012.742808","usgsCitation":"Isaak, D.J., Muhlfeld, C.C., Todd, A., Al-chokhachy, R., Roberts, J., Kershner, J.L., Fausch, K., and Hostetler, S.W., 2012, The past as prelude to the future for understanding 21st-century climate effects on Rocky Mountain Trout: Fisheries, v. 37, no. 12, p. 542-556, https://doi.org/10.1080/03632415.2012.742808.","productDescription":"15 p.","startPage":"542","endPage":"556","numberOfPages":"15","ipdsId":"IP-036943","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":271460,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/03632415.2012.742808"},{"id":271461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.43,33.09 ], [ -123.43,49.46 ], [ -103.25,49.46 ], [ -103.25,33.09 ], [ -123.43,33.09 ] ] ] } } ] }","volume":"37","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-12-11","publicationStatus":"PW","scienceBaseUri":"517a506ee4b072c16ef14b61","contributors":{"authors":[{"text":"Isaak, Daniel J.","contributorId":57202,"corporation":false,"usgs":true,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":477104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, Andrew S.","contributorId":33162,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":477108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-chokhachy, Robert","contributorId":90194,"corporation":false,"usgs":true,"family":"Al-chokhachy","given":"Robert","affiliations":[],"preferred":false,"id":477110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, James","contributorId":17509,"corporation":false,"usgs":true,"family":"Roberts","given":"James","affiliations":[],"preferred":false,"id":477106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":477103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":29370,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":477107,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":477105,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70043769,"text":"70043769 - 2012 - Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering","interactions":[],"lastModifiedDate":"2013-06-07T11:31:03","indexId":"70043769","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering","docAbstract":"Lacustrine sedimentary successions provide exceptionally high-resolution records of continental geological processes, responding to tectonic, climatic and magmatic influences. These successions are therefore essential for correlating geological and climatic phenomena across continents and furthermore the globe. Producing accurate geochronological frameworks within lacustrine strata is challenging because the stratigraphy is often bereft of biostratigraphy and directly dateable tuff horizons. The rhenium–osmium (Re–Os) geochronometer is a well-established tool for determining precise and accurate depositional ages of marine organic-rich rocks. Lake systems with stratified water columns are predisposed to the preservation of organic-rich rocks and thus should permit direct Re–Os geochronology of lacustrine strata. We present Re–Os systematics from one of the world's best documented lacustrine systems, the Eocene Green River Formation, providing accurate Re–Os depositional dates that are supported by Ar–Ar and U–Pb ages of intercalated tuff horizons. Precision of the Green River Formation Re–Os dates is controlled by the variation in initial 187Os/188Os and the range of 187Re/188Os ratios, as also documented in marine systems. Controls on uptake and fractionation of Re and Os are considered to relate mainly to depositional setting and the type of organic matter deposited, with the need to further understand the chelating precursors of Re and Os in organic matter highlighted. In addition to geochronology, the Re–Os data records the 187Os/188Os composition of lake water (1.41–1.54) at the time of deposition, giving an insight into continental runoff derived from weathering of the geological hinterland of the Green River Formation. Such insights enable us to evaluate fluctuations in continental climatic, tectonic and magmatic processes and provide the ability for chemostratigraphic correlation combined with direct depositional dates. Furthermore, initial 187Os/188Os values can be used as a diagnostic tool to distinguish between lacustrine and marine depositional settings when compared to known oceanic 187Os/188Os values.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2012.10.012","usgsCitation":"Cumming, V.M., Selby, D., and Lillis, P.G., 2012, Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering: Earth and Planetary Science Letters, v. 359-360, https://doi.org/10.1016/j.epsl.2012.10.012.","numberOfPages":"34","ipdsId":"IP-035807","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":488173,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1498377","text":"External Repository"},{"id":273446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267778,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2012.10.012"}],"country":"United States","state":"Colorado;Utah;Wyoming","otherGeospatial":"Greater Green River Basin;Uinta Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.01638888888888889,8.333333333333334E-4 ] ] ] } } ] }","volume":"359-360","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e7e4b01368e589e3fc","contributors":{"authors":[{"text":"Cumming, Vivien M.","contributorId":69044,"corporation":false,"usgs":true,"family":"Cumming","given":"Vivien","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":474224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":474223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041042,"text":"70041042 - 2012 - Food availability and offspring sex in a monogamous seabird: insights from an experimental approach","interactions":[],"lastModifiedDate":"2012-12-18T17:09:59","indexId":"70041042","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Food availability and offspring sex in a monogamous seabird: insights from an experimental approach","docAbstract":"Sex allocation theory predicts that parents should favor offspring of the sex that provides the greatest fitness return. Despite growing evidence suggesting that vertebrates are able to overcome the constraint of chromosomal sex determination, the general pattern remains equivocal, indicating a need for experimental investigations. We used an experimental feeding design to study sex allocation during 3 years in black-legged kittiwakes (Rissa tridactyla). Intense male–male competition for securing a breeding site is common in this species in which males are heavier and larger than females. Hence, we hypothesized that parents producing fledglings in better than average condition, as supplementarily fed pairs do, would increase their fitness return by producing sons. Conversely, producing daughters would be a better tactic for Unfed parents. Hence, we predicted that Fed parents produce more sons than Unfed parents. This prediction is particularly expected if sexual dimorphism arises as early as during chick rearing, suggesting strong selective pressures for optimal male development. Our results showed that 1) males were heavier and larger than females prior to fledging and that 2) Fed parents produced relatively more male hatchlings than Unfed parents. We interpret this result in terms of a Trivers–Willard-type process. Furthermore, our data revealed that Unfed parents significantly overproduced female hatchlings, whereas offspring sex ratio was balanced among Fed parents. Because the 3 reproductive seasons we considered were particularly poor food years, Unfed parents may have overproduced daughters to avoid the apparent higher reproductive costs of raising sons.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Behavioral Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford Journals","publisherLocation":"Oxford, U.K.","doi":"10.1093/beheco/ars023","usgsCitation":"Merkling, T., Leclaire, S., Danchin, E., Lhuillier, E., Wagner, R., White, J., Hatch, S.A., and Blanchard, P., 2012, Food availability and offspring sex in a monogamous seabird: insights from an experimental approach: Behavioral Ecology, v. 23, no. 4, p. 751-758, https://doi.org/10.1093/beheco/ars023.","productDescription":"8 p.","startPage":"751","endPage":"758","ipdsId":"IP-031621","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":263554,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/beheco/ars023"},{"id":263555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-04-06","publicationStatus":"PW","scienceBaseUri":"50d20c2be4b08b071e771b6b","contributors":{"authors":[{"text":"Merkling, Thomas","contributorId":19453,"corporation":false,"usgs":true,"family":"Merkling","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":469237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leclaire, Sarah","contributorId":46385,"corporation":false,"usgs":true,"family":"Leclaire","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":469238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danchin, Etienne","contributorId":69034,"corporation":false,"usgs":true,"family":"Danchin","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":469241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lhuillier, Emeline","contributorId":99854,"corporation":false,"usgs":true,"family":"Lhuillier","given":"Emeline","email":"","affiliations":[],"preferred":false,"id":469243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Richard H.","contributorId":94943,"corporation":false,"usgs":false,"family":"Wagner","given":"Richard H.","affiliations":[],"preferred":false,"id":469242,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Joel","contributorId":60100,"corporation":false,"usgs":false,"family":"White","given":"Joel","email":"","affiliations":[],"preferred":false,"id":469240,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hatch, Scott A. 0000-0002-0064-8187 shatch@usgs.gov","orcid":"https://orcid.org/0000-0002-0064-8187","contributorId":2625,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","email":"shatch@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blanchard, Pierrick","contributorId":56949,"corporation":false,"usgs":true,"family":"Blanchard","given":"Pierrick","email":"","affiliations":[],"preferred":false,"id":469239,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70041366,"text":"70041366 - 2012 - Tectonic influences on the preservation of marine terraces: Old and new evidence from Santa Catalina Island, California","interactions":[],"lastModifiedDate":"2012-12-04T11:36:15","indexId":"70041366","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic influences on the preservation of marine terraces: Old and new evidence from Santa Catalina Island, California","docAbstract":"The California Channel Islands contain some of the best geologic records of past climate and sea-level changes, recorded in uplifted, fossil-bearing marine terrace deposits. Among the eight California Channel Islands and the nearby Palos Verdes Hills, only Santa Catalina Island does not exhibit prominent emergent marine terraces, though the same terrace-forming processes that acted on the other Channel Islands must also have occurred on Santa Catalina. We re-evaluated previous researchers' field evidence and examined new topographic, bathymetric, and stream-profile data in order to find possible explanations for the lack of obvious marine terrace landforms or deposits on the island today. The most likely explanation is associated with the island's unresolved tectonic history, with evidence for both recent uplift and subsidence being offered by different researchers. Bathymetric and seismic reflection data indicate the presence of submerged terrace-like landforms from a few meters below present sea level to depths far exceeding that of the lowest glacial lowstand, suggesting that the Catalina Island block may have subsided, submerging marine terraces that would have formed in the late Quaternary. Similar submerged marine terrace landforms exist offshore of all of the other California Channel Islands, including some at anomalously great depths, but late Quaternary uplift is well documented on those islands. Therefore, such submarine features must be more thoroughly investigated and adequately explained before they can be accepted as definitive evidence of subsidence. Nevertheless, the striking similarity of the terrace-like features around Santa Catalina Island to those surrounding the other, uplifting, Channel Islands prompted us to investigate other lines of evidence of tectonic activity, such as stream profile data. Recent uplift is suggested by disequilibrium stream profiles on the western side of the island, including nickpoints and profile convexities. Rapid uplift is also indicated by the island's highly dissected, steep topography and abundant landslides. A likely cause of uplift is a restraining bend in the offshore Catalina strike-slip fault. Our analysis suggests that Santa Catalina Island has recently experienced, and may still be experiencing, relatively rapid uplift, causing intense landscape rejuvenation that removed nearly all traces of marine terraces by erosion. A similar research approach, incorporating submarine as well as subaerial geomorphic data, could be applied to many tectonically active coastlines in which a marine terrace record appears to be missing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.geomorph.2012.08.012","usgsCitation":"Schumann, R.R., Minor, S.A., Muhs, D.R., Groves, L., and McGeehin, J., 2012, Tectonic influences on the preservation of marine terraces: Old and new evidence from Santa Catalina Island, California: Geomorphology, v. 179, p. 208-224, https://doi.org/10.1016/j.geomorph.2012.08.012.","productDescription":"17 p.","startPage":"208","endPage":"224","ipdsId":"IP-033410","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":263669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263655,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2012.08.012"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands;Santa Catalina Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.0,32.5 ], [ -121.0,34.5 ], [ -118.0,34.5 ], [ -118.0,32.5 ], [ -121.0,32.5 ] ] ] } } ] }","volume":"179","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfbdf7e4b01744973f784a","contributors":{"authors":[{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":469627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minor, Scott A. 0000-0002-6976-9235 sminor@usgs.gov","orcid":"https://orcid.org/0000-0002-6976-9235","contributorId":765,"corporation":false,"usgs":true,"family":"Minor","given":"Scott","email":"sminor@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":469626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":469628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Groves, Lindsey T.","contributorId":61678,"corporation":false,"usgs":true,"family":"Groves","given":"Lindsey T.","affiliations":[],"preferred":false,"id":469630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGeehin, John P. 0000-0002-5320-6091 mcgeehin@usgs.gov","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":3444,"corporation":false,"usgs":true,"family":"McGeehin","given":"John P.","email":"mcgeehin@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":469629,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043592,"text":"70043592 - 2012 - Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects","interactions":[],"lastModifiedDate":"2013-02-23T09:37:56","indexId":"70043592","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects","docAbstract":"Models based upon coastal engineering equations have been developed to quantify wind fetch length and several physical wave characteristics including significant height, length, peak period, maximum orbital velocity, and shear stress. These models were used to quantify differences in proposed island construction designs for three Habitat Rehabilitation and Enhancement Projects (HREPs) in the U.S. Army Corps of Engineers St. Paul District (Capoli Slough and Harpers Slough) and St. Louis District (Swan Lake). Weighted wind fetch was calculated using land cover data supplied by the Long Term Resource Monitoring Program (LTRMP) for each island design scenario for all three HREPs. Figures and graphs were created to depict the results of this analysis. The difference in weighted wind fetch from existing conditions to each potential future island design was calculated for Capoli and Harpers Slough HREPs. A simplistic method for calculating sediment suspension probability was also applied to the HREPs in the St. Paul District. This analysis involved determining the percentage of days that maximum orbital wave velocity calculated over the growing seasons of 2002–2007 exceeded a threshold value taken from the literature where fine unconsolidated sediments may become suspended. This analysis also evaluated the difference in sediment suspension probability from existing conditions to the potential island designs. Bathymetric data used in the analysis were collected from the LTRMP and wind direction and magnitude data were collected from the National Oceanic and Atmospheric Administration, National Climatic Data Center. These models are scheduled to be updated to operate using the most current Environmental Systems Research Institute ArcGIS Geographic Information System platform, and have several improvements implemented to wave calculations, data processing, and functions of the toolbox.","largerWorkTitle":"Annual Meeting of the American Fisheries Society","language":"English","publisher":"American Fisheries Society","usgsCitation":"Rohweder, J.J., Rogala, J.T., Johnson, B.L., Anderson, D., Clark, S., and Chamberlin, F., 2012, Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects, in Annual Meeting of the American Fisheries Society.","ipdsId":"IP-042647","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":268006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268005,"type":{"id":11,"text":"Document"},"url":"https://afs.confex.com/afs/2012/webprogram/Paper10406.html"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5129f30ee4b04edf7e93f84b","contributors":{"authors":[{"text":"Rohweder, Jason J. jrohweder@usgs.gov","contributorId":460,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":473916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogala, James T. 0000-0002-1954-4097 jrogala@usgs.gov","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":2651,"corporation":false,"usgs":true,"family":"Rogala","given":"James","email":"jrogala@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":473918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Barry L. bljohnson@usgs.gov","contributorId":608,"corporation":false,"usgs":true,"family":"Johnson","given":"Barry","email":"bljohnson@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":473917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Dennis","contributorId":96793,"corporation":false,"usgs":true,"family":"Anderson","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":473921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Steve","contributorId":92769,"corporation":false,"usgs":true,"family":"Clark","given":"Steve","email":"","affiliations":[],"preferred":false,"id":473920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chamberlin, Ferris","contributorId":32635,"corporation":false,"usgs":true,"family":"Chamberlin","given":"Ferris","email":"","affiliations":[],"preferred":false,"id":473919,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70041066,"text":"70041066 - 2012 - Moderating Argos location errors in animal tracking data","interactions":[],"lastModifiedDate":"2012-12-18T17:17:18","indexId":"70041066","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Moderating Argos location errors in animal tracking data","docAbstract":"1. The Argos System is used worldwide to satellite-track free-ranging animals, but location errors can range from tens of metres to hundreds of kilometres. Low-quality locations (Argos classes A, 0, B and Z) dominate animal tracking data. Standard-quality animal tracking locations (Argos classes 3, 2 and 1) have larger errors than those reported in Argos manuals.\n2. The Douglas Argos-filter (DAF) algorithm flags implausible locations based on user-defined thresholds that allow the algorithm's performance to be tuned to species' movement behaviours and study objectives. The algorithm is available in Movebank – a free online infrastructure for storing, managing, sharing and analysing animal movement data.\n3. We compared 21,044 temporally paired global positioning system (GPS) locations with Argos location estimates collected from Argos transmitters on free-ranging waterfowl and condors (13 species, 314 individuals, 54,895 animal-tracking days). The 95th error percentiles for unfiltered Argos locations 0, A, B and Z were within 35·8, 59·6, 163·2 and 220·2 km of the true location, respectively. After applying DAF with liberal thresholds, roughly 20% of the class 0 and A locations and 45% of the class B and Z locations were excluded, and the 95th error percentiles were reduced to 17·2, 15·0, 20·9 and 18·6 km for classes 0, A, B and Z, respectively. As thresholds were applied more conservatively, fewer locations were retained, but they possessed higher overall accuracy.\n4. Douglas Argos-filter can improve data accuracy by 50–90% and is an effective and flexible tool for preparing Argos data for direct biological interpretation or subsequent modelling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.2041-210X.2012.00245.x","usgsCitation":"Douglas, D.C., Weinziert, R., Davidson, S.C., Kays, R., Wikelski, M., and Bohrer, G., 2012, Moderating Argos location errors in animal tracking data: Methods in Ecology and Evolution, v. 3, no. 6, p. 999-1007, https://doi.org/10.1111/j.2041-210X.2012.00245.x.","productDescription":"8 p.","startPage":"999","endPage":"1007","ipdsId":"IP-039258","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474238,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2012.00245.x","text":"Publisher Index Page"},{"id":263567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263566,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2012.00245.x"}],"volume":"3","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-10","publicationStatus":"PW","scienceBaseUri":"50d20c82e4b08b071e771baf","contributors":{"authors":[{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weinziert, Rolf","contributorId":24665,"corporation":false,"usgs":true,"family":"Weinziert","given":"Rolf","email":"","affiliations":[],"preferred":false,"id":469316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidson, Sarah C.","contributorId":31651,"corporation":false,"usgs":true,"family":"Davidson","given":"Sarah","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kays, Roland","contributorId":83815,"corporation":false,"usgs":true,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":469320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":469319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohrer, Gil","contributorId":66569,"corporation":false,"usgs":true,"family":"Bohrer","given":"Gil","affiliations":[],"preferred":false,"id":469318,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70045889,"text":"70045889 - 2012 - Biomedical health assessments of the Florida manatee in Crystal River - providing opportunities for training during the capture, handling, and processing of this endangered aquatic mammal","interactions":[],"lastModifiedDate":"2013-05-09T08:58:00","indexId":"70045889","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2376,"text":"Journal of Marine Animals and Their Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Biomedical health assessments of the Florida manatee in Crystal River - providing opportunities for training during the capture, handling, and processing of this endangered aquatic mammal","docAbstract":"Federal and state researchers have been involved in manatee (Trichechus manatus) biomedical health assessment programs for a couple of decades. These benchmark studies have provided a foundation for the development of consistent capture, handling, and processing techniques and protocols. Biologists have implemented training and encouraged multi-agency participation whenever possible to ensure reliable data acquisition, recording, sample collection, publication integrity, and meeting rigorous archival standards. Under a U.S. Fish and Wildlife Service wildlife research permit granted to the U.S. Geological Survey (USGS) Sirenia Project, federal biologists and collaborators are allowed to conduct research studies on wild and captive manatees detailing various \naspects of their biology. Therefore, researchers with the project have been collaborating on numerous studies over the last several years. One extensive study, initiated in 2006 has focused on health and fitness of the winter manatee population located in Crystal River, Florida. During those health assessments, capture, handling, and work-up training has been afforded to many of the participants. That study has successfully captured and handled 123 manatees. The data \ngathered have provided baseline information on manatee health, reproductive status, and nutritional condition. This research initiative addresses concerns and priorities outlined in the Florida Manatee Recovery Plan. The assessment teams strive to continue this collaborative effort to help advance our understanding of health-related issues confronting manatees throughout their range and interlacing these findings with surrogate species concepts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Marine Animals and Their Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oceanographic Environmental Research Society","usgsCitation":"Bonde, R.K., Garrett, A., Belanger, M., Askin, N., Tan, L., and Wittnich, C., 2012, Biomedical health assessments of the Florida manatee in Crystal River - providing opportunities for training during the capture, handling, and processing of this endangered aquatic mammal: Journal of Marine Animals and Their Ecology, v. 5, no. 2, p. 17-28.","productDescription":"12 p.","startPage":"17","endPage":"28","ipdsId":"IP-042685","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":272117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272116,"type":{"id":11,"text":"Document"},"url":"https://www.oers.ca/journal/volume5/issue2/techniques-vol5-iss2.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Crystal River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.65,28.87 ], [ -82.65,28.92 ], [ -82.56,28.92 ], [ -82.56,28.87 ], [ -82.65,28.87 ] ] ] } } ] }","volume":"5","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cc55fe4b05ebc8f7cc0fc","contributors":{"authors":[{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":478484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrett, Andrew","contributorId":98197,"corporation":false,"usgs":true,"family":"Garrett","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":478489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belanger, Michael","contributorId":33602,"corporation":false,"usgs":true,"family":"Belanger","given":"Michael","email":"","affiliations":[],"preferred":false,"id":478487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Askin, Nesime","contributorId":15095,"corporation":false,"usgs":true,"family":"Askin","given":"Nesime","email":"","affiliations":[],"preferred":false,"id":478485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tan, Luke","contributorId":79779,"corporation":false,"usgs":true,"family":"Tan","given":"Luke","email":"","affiliations":[],"preferred":false,"id":478488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wittnich, Carin","contributorId":20235,"corporation":false,"usgs":true,"family":"Wittnich","given":"Carin","email":"","affiliations":[],"preferred":false,"id":478486,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70041058,"text":"70041058 - 2012 - Using surface velocities to calculate ice thickness and bed topography: A case study at Columbia Glacier, Alaska, USA","interactions":[],"lastModifiedDate":"2018-07-07T18:05:57","indexId":"70041058","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Using surface velocities to calculate ice thickness and bed topography: A case study at Columbia Glacier, Alaska, USA","docAbstract":"Information about glacier volume and ice thickness distribution is essential for many glaciological applications, but direct measurements of ice thickness can be difficult and costly. We present a new method that calculates ice thickness via an estimate of ice flux. We solve the familiar continuity equation between adjacent flowlines, which decreases the computational time required compared to a solution on the whole grid. We test the method on Columbia Glacier, a large tidewater glacier in Alaska, USA, and compare calculated and measured ice thicknesses, with favorable results. This shows the potential of this method for estimating ice thickness distribution of glaciers for which only surface data are available. We find that both the mean thickness and volume of Columbia Glacier were approximately halved over the period 1957–2007, from 281m to 143 m, and from 294 km3 to 134 km3, respectively. Using bedrock slope and considering how waves of thickness change propagate through the glacier, we conduct a brief analysis of the instability of Columbia Glacier, which leads us to conclude that the rapid portion of the retreat may be nearing an end.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Glaciology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Glaciological Society","publisherLocation":"Cambridge, UK","doi":"10.3189/2012JoG11J249","usgsCitation":"McNabb, R., Hock, R., O’Neel, S., Rasmussen, L.A., Ahn, Y., Braun, M., Conway, H., Herreid, S., Joughin, I., Pfeffer, W., Smith, B., and Truffer, M., 2012, Using surface velocities to calculate ice thickness and bed topography: A case study at Columbia Glacier, Alaska, USA: Journal of Glaciology, v. 58, no. 212, p. 1151-1164, https://doi.org/10.3189/2012JoG11J249.","productDescription":"14 p.","startPage":"1151","endPage":"1164","ipdsId":"IP-035643","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474236,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3189/2012jog11j249","text":"Publisher Index Page"},{"id":263548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263547,"type":{"id":11,"text":"Document"},"url":"https://www.igsoc.org/journal/58/212/t11J249.pdf"},{"id":263546,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3189/2012JoG11J249"}],"country":"United States","state":"Alaska","otherGeospatial":"Columbia Glacier","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.11,52.68 ], [ -155.11,62.54 ], [ -141.02,62.54 ], [ -141.02,52.68 ], [ -155.11,52.68 ] ] ] } } ] }","volume":"58","issue":"212","noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"50e56539e4b0a4aa5bb04b88","contributors":{"authors":[{"text":"McNabb, R.W.","contributorId":36825,"corporation":false,"usgs":true,"family":"McNabb","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":469292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hock, R.","contributorId":80921,"corporation":false,"usgs":true,"family":"Hock","given":"R.","email":"","affiliations":[],"preferred":false,"id":469295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rasmussen, Lowell A.","contributorId":36930,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Lowell","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ahn, Y.","contributorId":11097,"corporation":false,"usgs":true,"family":"Ahn","given":"Y.","email":"","affiliations":[],"preferred":false,"id":469287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Braun, M.","contributorId":39271,"corporation":false,"usgs":true,"family":"Braun","given":"M.","email":"","affiliations":[],"preferred":false,"id":469294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conway, H.","contributorId":21353,"corporation":false,"usgs":true,"family":"Conway","given":"H.","email":"","affiliations":[],"preferred":false,"id":469290,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herreid, S.","contributorId":102358,"corporation":false,"usgs":true,"family":"Herreid","given":"S.","email":"","affiliations":[],"preferred":false,"id":469296,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Joughin, I.","contributorId":105084,"corporation":false,"usgs":true,"family":"Joughin","given":"I.","affiliations":[],"preferred":false,"id":469297,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pfeffer, W.T.","contributorId":14632,"corporation":false,"usgs":true,"family":"Pfeffer","given":"W.T.","email":"","affiliations":[],"preferred":false,"id":469289,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, B.E.","contributorId":36495,"corporation":false,"usgs":true,"family":"Smith","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":469291,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Truffer, M.","contributorId":11908,"corporation":false,"usgs":true,"family":"Truffer","given":"M.","affiliations":[],"preferred":false,"id":469288,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70148135,"text":"70148135 - 2012 - A Bayesian spawning habitat suitability model for American shad in southeastern United States rivers","interactions":[],"lastModifiedDate":"2015-05-27T10:43:42","indexId":"70148135","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian spawning habitat suitability model for American shad in southeastern United States rivers","docAbstract":"Habitat suitability index models for American shad Alosa sapidissima were developed by Stier and Crance in 1985. These models, which were based on a combination of published information and expert opinion, are often used to make decisions about hydropower dam operations and fish passage. The purpose of this study was to develop updated habitat suitability index models for spawning American shad in the southeastern United States, building on the many field and laboratory studies completed since 1985. We surveyed biologists who had knowledge about American shad spawning grounds, assembled a panel of experts to discuss important habitat variables, and used raw data from published and unpublished studies to develop new habitat suitability curves. The updated curves are based on resource selection functions, which can model habitat selectivity based on use and availability of particular habitats. Using field data collected in eight rivers from Virginia to Florida (Mattaponi, Pamunkey, Roanoke, Tar, Neuse, Cape Fear, Pee Dee, St. Johns), we obtained new curves for temperature, current velocity, and depth that were generally similar to the original models. Our new suitability function for substrate was also similar to the original pattern, except that sand (optimal in the original model) has a very low estimated suitability. The Bayesian approach that we used to develop habitat suitability curves provides an objective framework for updating the model as new studies are completed and for testing the model's applicability in other parts of the species' range.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/082011-JFWM-047","usgsCitation":"Hightower, J.E., Harris, J., Raabe, J.K., Brownell, P., and Drew, C.A., 2012, A Bayesian spawning habitat suitability model for American shad in southeastern United States rivers: Journal of Fish and Wildlife Management, v. 3, no. 2, p. 184-198, https://doi.org/10.3996/082011-JFWM-047.","productDescription":"15 p.","startPage":"184","endPage":"198","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032269","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474242,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/082011-jfwm-047","text":"Publisher Index Page"},{"id":300843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina, Virginia","otherGeospatial":"Mattaponi River, Pamunkey River, Roanoke River, Tar River, Neuse River, Cape Fear River, Pee Dee River, St. Johns River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.3876953125,\n 38.548165423046584\n ],\n [\n -77.76123046875,\n 37.317751851636906\n ],\n [\n -78.68408203124999,\n 36.38591277287651\n ],\n [\n -79.5849609375,\n 35.51434313431818\n ],\n [\n -80.15625,\n 34.813803317113155\n ],\n [\n -80.9912109375,\n 34.488447837809304\n ],\n [\n -81.9140625,\n 33.94335994657882\n ],\n [\n -82.50732421875,\n 33.815666308702774\n ],\n [\n -84.0673828125,\n 33.22949814144951\n ],\n [\n -84.990234375,\n 32.861132322810946\n ],\n [\n -85.14404296875,\n 32.76880048488168\n ],\n [\n -84.9462890625,\n 30.751277776257812\n ],\n [\n -84.7705078125,\n 29.859701442126756\n ],\n [\n -84.35302734375,\n 30.12612436422458\n ],\n [\n -83.84765625,\n 30.012030680358613\n ],\n [\n -83.14453125,\n 29.305561325527698\n ],\n [\n -82.705078125,\n 28.94086176940557\n ],\n [\n -82.72705078125,\n 28.362401735238237\n ],\n [\n -82.7490234375,\n 27.877928333679495\n ],\n [\n -80.39794921875,\n 27.858503954841247\n ],\n [\n -80.595703125,\n 28.536274512989916\n ],\n [\n -81.123046875,\n 29.516110386062277\n ],\n [\n -81.45263671875,\n 30.600093873550072\n ],\n [\n -81.27685546875,\n 31.690781806136822\n ],\n [\n -80.419921875,\n 32.47269502206151\n ],\n [\n -79.29931640625,\n 33.26624989076275\n ],\n [\n -78.6181640625,\n 33.815666308702774\n ],\n [\n -78.046875,\n 33.94335994657882\n ],\n [\n -77.27783203125,\n 34.63320791137959\n ],\n [\n -76.2890625,\n 34.90395296559004\n ],\n [\n -75.65185546874999,\n 35.67514743608467\n ],\n [\n -75.8056640625,\n 36.5978891330702\n ],\n [\n -75.95947265625,\n 37.055177106660814\n ],\n [\n -75.498046875,\n 38.048091067457236\n ],\n [\n -75.03662109375,\n 38.46219172306828\n ],\n [\n -77.3876953125,\n 38.548165423046584\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566eab3e4b0d9246a9ec2c8","contributors":{"authors":[{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Julianne E.","contributorId":57687,"corporation":false,"usgs":true,"family":"Harris","given":"Julianne E.","affiliations":[],"preferred":false,"id":547713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raabe, Joshua K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":547714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brownell, Prescott","contributorId":54514,"corporation":false,"usgs":true,"family":"Brownell","given":"Prescott","email":"","affiliations":[],"preferred":false,"id":547715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drew, C. Ashton","contributorId":140953,"corporation":false,"usgs":false,"family":"Drew","given":"C.","email":"","middleInitial":"Ashton","affiliations":[],"preferred":false,"id":547716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70136192,"text":"70136192 - 2012 - A simple method for in situ monitoring of water temperature in substrates used by spawning salmonids","interactions":[],"lastModifiedDate":"2014-12-30T10:39:18","indexId":"70136192","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A simple method for in situ monitoring of water temperature in substrates used by spawning salmonids","docAbstract":"Interstitial water temperature within spawning habitats of salmonids may differ from surface-water temperature depending on intragravel flow paths, geomorphic setting, or presence of groundwater. Because survival and developmental timing of salmon are partly controlled by temperature, monitoring temperature within gravels used by spawning salmonids is required to adequately describe the environment experienced by incubating eggs and embryos. Here we describe a simple method of deploying electronic data loggers within gravel substrates with minimal alteration of the natural gravel structure and composition. Using data collected in spawning sites used by summer and fall chum salmon Oncorhynchus keta from two streams within the Yukon River watershed, we compare contrasting thermal regimes to demonstrate the utility of this method.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/032012-JFWM-025","usgsCitation":"Zimmerman, C.E., and Finn, J.E., 2012, A simple method for in situ monitoring of water temperature in substrates used by spawning salmonids: Journal of Fish and Wildlife Management, v. 3, no. 2, p. 288-295, https://doi.org/10.3996/032012-JFWM-025.","productDescription":"8 p.","startPage":"288","endPage":"295","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026489","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474231,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/032012-jfwm-025","text":"Publisher Index Page"},{"id":296920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b21e4b08de9379b3266","contributors":{"authors":[{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":537209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, James E.","contributorId":11157,"corporation":false,"usgs":true,"family":"Finn","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":537353,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70154950,"text":"70154950 - 2012 - Population status and habitat associations of the King Rail in the midwestern United States","interactions":[],"lastModifiedDate":"2015-07-22T09:33:47","indexId":"70154950","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Population status and habitat associations of the King Rail in the midwestern United States","docAbstract":"The migratory population of the King Rail (Rallus elegans) has declined dramatically during the past 50 years, emphasizing the need to document the distribution and status of this species to help guide conservation efforts. In an effort to guide King Rail breeding habitat protection and restoration, a landscape suitability index (LSI) model was developed for the Upper Mississippi River and Great Lakes Region Joint Venture (JV). To validate this model, 264 sites were surveyed across the JV region in 2008 and 2009 using the National Marshbird Monitoring protocol. Two other similarly collected data sets from Wisconsin (250 sites) and Ohio (259 sites) as well as data from the Cornell Laboratory of Ornithology's eBird database were added to our data set. Sampling effort was not uniform across the study area. King Rails were detected at 29 sites with the greatest concentration in southeastern Wisconsin and northeastern Illinois. Too few detections were made to validate the LSI model. King Rail detection sites tended to have microtopographic heterogeneity, more emergent herbaceous wetland vegetation and less woody vegetation. The migrant population of the King Rail is rare and warrants additional conservation efforts to achieve stated conservation population targets.
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S.","contributorId":145779,"corporation":false,"usgs":false,"family":"Brady","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":565271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willard, Karen L.","contributorId":145780,"corporation":false,"usgs":false,"family":"Willard","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":565272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":565273,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189350,"text":"70189350 - 2012 - Solute and geothermal flux monitoring using electrical conductivity in the Madison, Firehole, and Gibbon Rivers, Yellowstone National Park","interactions":[],"lastModifiedDate":"2019-05-30T13:07:28","indexId":"70189350","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Solute and geothermal flux monitoring using electrical conductivity in the Madison, Firehole, and Gibbon Rivers, Yellowstone National Park","docAbstract":"The thermal output from the Yellowstone magma chamber can be estimated from the Cl flux in the major rivers in Yellowstone National Park; and by utilizing continuous discharge and electrical conductivity measurements the Cl flux can be calculated. The relationship between electrical conductivity and concentrations of Cl and other geothermal solutes (Na, SO4, F, HCO3, SiO2, K, Li, B, and As) was quantified at monitoring sites along the Madison, Gibbon, and Firehole Rivers, which receive discharge from some of the largest and most active geothermal areas in Yellowstone. Except for some trace elements, most solutes behave conservatively and the ratios between geothermal solute concentrations are constant in the Madison, Gibbon, and Firehole Rivers. Hence, dissolved concentrations of Cl, Na, SO4, F, HCO3, SiO2, K, Li, Ca, B and As correlate well with conductivity (R2 > 0.9 for most solutes) and most exhibit linear trends. The 2011 flux for Cl, SO4, F and HCO3 determined using automated conductivity sensors and discharge data from nearby USGS gaging stations is in good agreement with those of previous years (1983–1994 and 1997–2008) at each of the monitoring sites. Continuous conductivity monitoring provides a cost- and labor-effective alternative to existing protocols whereby flux is estimated through manual collection of numerous water samples and subsequent chemical analysis. Electrical conductivity data also yield insights into a variety of topics of research interest at Yellowstone and elsewhere: (1) Geyser eruptions are easily identified and the solute flux quantified with conductivity data. (2) Short-term heavy rain events can produce conductivity anomalies due to dissolution of efflorescent salts that are temporarily trapped in and around geyser basins during low-flow periods. During a major rain event in October 2010, 180,000 kg of additional solute was measured in the Madison River. (3) The output of thermal water from the Gibbon River appears to have increased by about 0.2%/a in recent years, while the output of thermal water for the Firehole River shows a decrease of about 10% from 1983 to 2011. Confirmation of these trends will require continuing Cl flux monitoring over the coming decades.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2012.07.019","usgsCitation":"McCleskey, R.B., Clor, L., Lowenstern, J.B., Evans, W.C., Nordstrom, D.K., Heasler, H., and Huebner, M., 2012, Solute and geothermal flux monitoring using electrical conductivity in the Madison, Firehole, and Gibbon Rivers, Yellowstone National Park: Applied Geochemistry, v. 27, no. 12, p. 2370-2381, https://doi.org/10.1016/j.apgeochem.2012.07.019.","productDescription":"12 p.","startPage":"2370","endPage":"2381","ipdsId":"IP-037339","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Firehole River, Gibbon River, Madison River, Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.05667114257812,\n 44.41122141189896\n ],\n [\n -110.76141357421875,\n 44.41122141189896\n ],\n [\n -110.76141357421875,\n 44.70965819812379\n ],\n [\n -111.05667114257812,\n 44.70965819812379\n ],\n [\n -111.05667114257812,\n 44.41122141189896\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965babce4b0d1f9f05b38d5","contributors":{"authors":[{"text":"McCleskey, R. 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Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":704322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heasler, Henry","contributorId":62683,"corporation":false,"usgs":true,"family":"Heasler","given":"Henry","affiliations":[],"preferred":false,"id":704328,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huebner, Mark mhuebner@usgs.gov","contributorId":4349,"corporation":false,"usgs":true,"family":"Huebner","given":"Mark","email":"mhuebner@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":704325,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188518,"text":"70188518 - 2012 - Characterizing post-drainage succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI data","interactions":[],"lastModifiedDate":"2017-06-14T14:12:02","indexId":"70188518","displayToPublicDate":"2012-11-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing post-drainage succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI data","docAbstract":"Drained thermokarst lake basins accumulate significant amounts of soil organic carbon in the form of peat, which is of interest to understanding carbon cycling and climate change feedbacks associated with thermokarst in the Arctic. Remote sensing is a tool useful for understanding temporal and spatial dynamics of drained basins. In this study, we tested the application of high-resolution X-band Synthetic Aperture Radar (SAR) data of the German TerraSAR-X satellite from the 2009 growing season (July–September) for characterizing drained thermokarst lake basins of various age in the ice-rich permafrost region of the northern Seward Peninsula, Alaska. To enhance interpretation of patterns identified in X-band SAR for these basins, we also analyzed the Normalized Difference Vegetation Index (NDVI) calculated from a Landsat-5 Thematic Mapper image acquired on July 2009 and compared both X-band SAR and NDVI data with observations of basin age. We found significant logarithmic relationships between (a) TerraSAR-X backscatter and basin age from 0 to 10,000 years, (b) Landat-5 TM NDVI and basin age from 0 to 10,000 years, and (c) TerraSAR-X backscatter and basin age from 50 to 10,000 years. NDVI was a better indicator of basin age over a period of 0–10,000 years. However, TerraSAR-X data performed much better for discriminating radiocarbon-dated basins (50–10,000 years old). No clear relationships were found for either backscatter or NDVI and basin age from 0 to 50 years. We attribute the decreasing trend of backscatter and NDVI with increasing basin age to post-drainage changes in the basin surface. Such changes include succession in vegetation, soils, hydrology, and renewed permafrost aggradation, ground ice accumulation and localized frost heave. Results of this study show the potential application of X-band SAR data in combination with NDVI data to map long-term succession dynamics of drained thermokarst lake basins.
","language":"English","publisher":"Remote Sensing","doi":"10.3390/rs4123741","usgsCitation":"Regmi, P., Grosse, G., Jones, M.C., Jones, B.M., and Walter Anthony, K., 2012, Characterizing post-drainage succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI data: Remote Sensing, v. 4, p. 3741-3765, https://doi.org/10.3390/rs4123741.","productDescription":"25 p. 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Although airborne lidar data has been successfully used to develop vegetation canopy height maps in many regions, for vast, sparsely populated regions such as the boreal forest biome, airborne lidar is not widely available. An alternative approach to canopy height mapping in areas where airborne lidar data is limited is to use spaceborne lidar measurements in combination with multi-angular and multi-spectral remote sensing data to produce comprehensive canopy height maps for the entire region. This study uses spaceborne lidar data from the Geosciences Laser Altimeter System (GLAS) as training data for regression tree models that incorporate multi-angular and multi-spectral data from the Multi-Angle Imaging Spectroradiometer (MISR) and the Moderate Resolution Imaging SpectroRadiometer (MODIS) to map vegetation canopy height across a 1,300,000 km2 swath of boreal forest in Interior Alaska. Results are compared to in situ height measurements as well as airborne lidar data. Although many of the GLAS-derived canopy height estimates are inaccurate, applying a series of filters incorporating both data associated with the GLAS shots as well as ancillary data such as land cover can identify the majority of height estimates with significant errors, resulting in a filtered dataset with much higher accuracy. Results from the regression tree models indicate that late winter MISR imagery acquired under snow-covered conditions is effective for mapping canopy heights ranging from 5 to 15 m, which includes the vast majority of forests in the region. It appears that neither MISR nor MODIS imagery acquired during the growing season is effective for canopy height mapping, although including summer multi-spectral MODIS data along with winter MISR imagery does appear to provide a slight increase in the accuracy of resulting height maps. The finding that winter, snow-covered MISR imagery can be used to map canopy height is important because clear sky days are nearly three times as common during the late winter period as during the growing season. The increased odds of acquiring cloud-free imagery during the target acquisition period make regularly updated forest height inventories for Interior Alaska much more feasible. A major advantage of the GLAS–MISR–MODIS canopy height mapping methodology described here is that this approach uses only data that is freely available worldwide, making the approach potentially applicable across the entire circumpolar boreal forest region.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2012.02.020","usgsCitation":"Selkowitz, D.J., Green, G., Peterson, B.E., and Wylie, B., 2012, A multi-sensor lidar, multi-spectral and multi-angular approach for mapping canopy height in boreal forest regions: Remote Sensing of Environment, v. 121, p. 458-471, https://doi.org/10.1016/j.rse.2012.02.020.","productDescription":"14 p.","startPage":"458","endPage":"471","ipdsId":"IP-035645","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":263516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263515,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2012.02.020"}],"volume":"121","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d59e83e4b0ba654692b9b6","contributors":{"authors":[{"text":"Selkowitz, David J. 0000-0003-0824-7051 dselkowitz@usgs.gov","orcid":"https://orcid.org/0000-0003-0824-7051","contributorId":3259,"corporation":false,"usgs":true,"family":"Selkowitz","given":"David","email":"dselkowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":469248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Gordon","contributorId":65738,"corporation":false,"usgs":true,"family":"Green","given":"Gordon","email":"","affiliations":[],"preferred":false,"id":469250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Birgit E. 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":3599,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":469249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":107996,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[],"preferred":false,"id":469251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041260,"text":"70041260 - 2012 - Toxicity of waters from the St. Lawrence River at Massena Area-of-Concern to the plankton species Selenastrum capricornutum and Ceriodaphnia dubia","interactions":[],"lastModifiedDate":"2012-12-01T16:55:20","indexId":"70041260","displayToPublicDate":"2012-11-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of waters from the St. Lawrence River at Massena Area-of-Concern to the plankton species Selenastrum capricornutum and Ceriodaphnia dubia","docAbstract":"In 1972, the US and Canada committed to restore the chemical, physical, and biological integrity of the Great Lakes Ecosystem under the first Great Lakes Water Quality Agreement. During subsequent amendments, part of the St. Lawrence River at Massena NY, and segments of three tributaries, were designated as one Area of Concern (AOC) due to various beneficial use impairments (BUIs). Plankton beneficial use was designated impaired within this AOC because phytoplankton and zooplankton population data were unavailable or needed “further assessment”. Contaminated sediments from industrial waste disposal have been largely remediated, thus, the plankton BUI may currently be obsolete. The St. Lawrence River at Massena AOC remedial action plan established two criteria which may be used to assess the plankton BUI; the second states that, “in the absence of community structure data, plankton bioassays confirm no toxicity impact in ambient waters”. This study was implemented during 2011 to determine whether this criterion was achieved. Acute toxicity and chronic toxicity of local waters were quantified seasonally using standardized bioassays with green alga Selenastrum capricornutum and water flea Ceriodaphnia dubia to test the hypothesis that waters from sites within the AOC were no more toxic than were waters from adjacent reference sites. The results of univariate and multivariate analyses confirm that ambient waters from most AOC sites (and seasons) were not toxic to both species. Assuming both test species represent natural plankton assemblages, the quality of surface waters throughout most of this AOC should not seriously impair the health of resident plankton communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Ann Arbor, MI","doi":"10.1016/j.jglr.2012.09.008","usgsCitation":"Baldigo, B.P., Duffy, B.T., Nally, C.J., and David, A.M., 2012, Toxicity of waters from the St. Lawrence River at Massena Area-of-Concern to the plankton species Selenastrum capricornutum and Ceriodaphnia dubia: Journal of Great Lakes Research, v. 38, no. 4, p. 812-820, https://doi.org/10.1016/j.jglr.2012.09.008.","productDescription":"9 p.","startPage":"812","endPage":"820","ipdsId":"IP-035122","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":263543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263542,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2012.09.008"}],"country":"Canada;United States","state":"New York","city":"Massena","otherGeospatial":"Great Lakes;St. Lawrence River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.0,42.0 ], [ -80.0,47.0 ], [ -70.0,47.0 ], [ -70.0,42.0 ], [ -80.0,42.0 ] ] ] } } ] }","volume":"38","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e553e3e4b0a4aa5bb0221f","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, Brian T.","contributorId":6352,"corporation":false,"usgs":true,"family":"Duffy","given":"Brian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":469473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nally, Christopher J.","contributorId":24254,"corporation":false,"usgs":true,"family":"Nally","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"David, Anthony M.","contributorId":36032,"corporation":false,"usgs":true,"family":"David","given":"Anthony","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041248,"text":"ds709D - 2012 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the North Takhar mineral district in Afghanistan: Chapter D in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","interactions":[],"lastModifiedDate":"2013-02-01T11:11:27","indexId":"ds709D","displayToPublicDate":"2012-11-30T00:00:00","publicationYear":"2012","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":"709","chapter":"D","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the North Takhar mineral district in Afghanistan: Chapter D in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the North Takhar mineral district, which has placer gold deposits. ALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA,2006,2008), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. Therefore, it was necessary to (1) register the 10-m AVNIR multispectral imagery to a well-controlled Landsat image base, (2) mosaic the individual multispectral images into a single image of the entire area of interest, (3) register each panchromatic image to the registered multispectral image base, and (4) mosaic the individual panchromatic images into a single image of the entire area of interest. The two image-registration steps were facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’s picture element based on the digital values of all picture elements within a 315-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (42 for North Takhar) and the WGS84 datum. The final image mosaics were subdivided into nine overlapping tiles or quadrants because of the large size of the target area. The nine image tiles (or quadrants) for the North Takhar area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709D","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey. This report is Chapter D in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan. For more information, see: Data Series 709.","usgsCitation":"Davis, P.A., and Cagney, L.E., 2012, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the North Takhar mineral district in Afghanistan: Chapter D in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan: U.S. Geological Survey Data Series 709, Readme File; 2 Maps: 11 x 8.5 and 41.76 x 48.21 inches; 18 Image Files: 18 Metadata Files; Shapefiles; DS 709, https://doi.org/10.3133/ds709D.","productDescription":"Readme File; 2 Maps: 11 x 8.5 and 41.76 x 48.21 inches; 18 Image Files: 18 Metadata Files; Shapefiles; DS 709","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-032347","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":263529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_709_D.jpg"},{"id":263609,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/d/index_maps/North_Takhar_Image_Index_Map.pdf"},{"id":263610,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/d/image_files/image_files.html"},{"id":263611,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/d/metadata/metadata.html"},{"id":263612,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/d/shapefiles/shapefiles.html"},{"id":263613,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/709/index.html"},{"id":263606,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/d/"},{"id":263607,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/d/1_readme.txt"},{"id":263608,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/d/index_maps/North_Takhar_Area-of-Interest_Index_Map.pdf"}],"country":"Afghanistan","otherGeospatial":"North Takhar","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.5,29.25 ], [ 60.5,38.5 ], [ 75.0,38.5 ], [ 75.0,29.25 ], [ 60.5,29.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfbdabe4b01744973f7817","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":469453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagney, Laura E. 0000-0003-3282-2458 lcagney@usgs.gov","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":4744,"corporation":false,"usgs":true,"family":"Cagney","given":"Laura","email":"lcagney@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":469454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041128,"text":"ofr20121227 - 2012 - Hydrostratigraphic interpretation of test-hole and surface geophysical data, Elkhorn and Loup River Basins, Nebraska, 2008 to 2011","interactions":[],"lastModifiedDate":"2012-11-29T14:36:20","indexId":"ofr20121227","displayToPublicDate":"2012-11-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1227","title":"Hydrostratigraphic interpretation of test-hole and surface geophysical data, Elkhorn and Loup River Basins, Nebraska, 2008 to 2011","docAbstract":"The Elkhorn-Loup Model (ELM) was begun in 2006 to understand the effect of various groundwater-management scenarios on surface-water resources. During phase one of the ELM study, a lack of subsurface geological information was identified as a data gap. Test holes drilled to the base of the aquifer in the ELM study area are spaced as much as 25 miles apart, especially in areas of the western Sand Hills. Given the variable character of the hydrostratigraphic units that compose the High Plains aquifer system, substantial variation in aquifer thickness and characteristics can exist between test holes. To improve the hydrogeologic understanding of the ELM study area, the U.S. Geological Survey, in cooperation with the Nebraska Department of Natural Resources, multiple Natural Resources Districts participating in the ELM study, and the University of Nebraska-Lincoln Conservation and Survey Division, described the subsurface lithology at six test holes drilled in 2010 and concurrently collected borehole geophysical data to identify the base of the High Plains aquifer system. A total of 124 time-domain electromagnetic (TDEM) soundings of resistivity were collected at and between selected test-hole locations during 2008-11 as a quick, non-invasive means of identifying the base of the High Plains aquifer system. Test-hole drilling and geophysical logging indicated the base-of-aquifer elevation was less variable in the central ELM area than in previously reported results from the western part of the ELM study area, where deeper paleochannels were eroded into the Brule Formation. In total, more than 435 test holes were examined and compared with the modeled-TDEM soundings. Even where present, individual stratigraphic units could not always be identified in modeled-TDEM sounding results if sufficient resistivity contrast was not evident; however, in general, the base of aquifer [top of the aquifer confining unit (ACU)] is one of the best-resolved results from the TDEM-based models, and estimates of the base-of-aquifer elevation are in good accordance with those from existing test-hole data. Differences between ACU elevations based on modeled-TDEM and test-hole data ranged from 2 to 113 feet (0.6 to 34 meters). The modeled resistivity results reflect the eastward thinning of Miocene-age and older stratigraphic units, and generally allowed confident identification of the accompanying change in the stratigraphic unit forming the ACU. The differences in elevation of the top of the Ogallala, estimated on the basis of the modeled-TDEM resistivity, and the test-hole data ranged from 11 to 251 feet (3.4 to 77 meters), with two-thirds of model results being within 60 feet of the test-hole contact elevation. The modeled-TDEM soundings also provided information regarding the distribution of Plio-Pleistocene gravel deposits, which had an average thickness of 100 feet (30 meters) in the study area; however, in many cases the contact between the Plio-Pleistocene deposits and the overlying Quaternary deposits cannot be reliably distinguished using TDEM soundings alone because of insufficient thickness or resistivity contrast.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121227","collaboration":"Prepared in cooperation with the Nebraska Department of Natural Resources; and the Upper Elkhorn, Lower Elkhorn, Upper Loup, Lower Loup, Middle Niobrara, Lower Niobrara, Lewis and Clark, and Lower Platte North Natural Resources Districts; and the University of Nebraska-Lincoln Conservation and Survey Division","usgsCitation":"Hobza, C.M., Bedrosian, P.A., and Bloss, B., 2012, Hydrostratigraphic interpretation of test-hole and surface geophysical data, Elkhorn and Loup River Basins, Nebraska, 2008 to 2011: U.S. Geological Survey Open-File Report 2012-1227, Report: x, 95 p.; Supplemental Data, https://doi.org/10.3133/ofr20121227.","productDescription":"Report: x, 95 p.; Supplemental Data","numberOfPages":"110","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-037355","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":263482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1227.gif"},{"id":263481,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1227/downloads/Supplemental_Data.xlsx"},{"id":263478,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1227/"},{"id":263479,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1227/of2012-1227.pdf"}],"scale":"100000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Nebraska","otherGeospatial":"Elkhorn And Loup River Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.5,40.0 ], [ -102.5,43.0 ], [ -97.0,43.0 ], [ -97.0,40.0 ], [ -102.5,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50df06b5e4b0dfbe79e687ab","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":469442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloss, Benjamin R.","contributorId":19446,"corporation":false,"usgs":true,"family":"Bloss","given":"Benjamin R.","affiliations":[],"preferred":false,"id":469444,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041041,"text":"70041041 - 2012 - Peat accumulation in drained thermokarst lake basins in continuous, ice-rich permafrost, northern Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2013-02-23T22:15:04","indexId":"70041041","displayToPublicDate":"2012-11-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Peat accumulation in drained thermokarst lake basins in continuous, ice-rich permafrost, northern Seward Peninsula, Alaska","docAbstract":"Thermokarst lakes and peat-accumulating drained lake basins cover a substantial portion of Arctic lowland landscapes, yet the role of thermokarst lake drainage and ensuing peat formation in landscape-scale carbon (C) budgets remains understudied. Here we use measurements of terrestrial peat thickness, bulk density, organic matter content, and basal radiocarbon age from permafrost cores, soil pits, and exposures in vegetated, drained lake basins to characterize regional lake drainage chronology, C accumulation rates, and the role of thermokarst-lake cycling in carbon dynamics throughout the Holocene on the northern Seward Peninsula, Alaska. Most detectable lake drainage events occurred within the last 4,000 years with the highest drainage frequency during the medieval climate anomaly. Peat accumulation rates were highest in young (50–500 years) drained lake basins (35.2 g C m−2 yr−1) and decreased exponentially with time since drainage to 9 g C m−2 yr−1 in the oldest basins. Spatial analyses of terrestrial peat depth, basal peat radiocarbon ages, basin geomorphology, and satellite-derived land surface properties (Normalized Difference Vegetation Index (NDVI); Minimum Noise Fraction (MNF)) from Landsat satellite data revealed significant relationships between peat thickness and mean basin NDVI or MNF. By upscaling observed relationships, we infer that drained thermokarst lake basins, covering 391 km2 (76%) of the 515 km2 study region, store 6.4–6.6 Tg organic C in drained lake basin terrestrial peat. Peat accumulation in drained lake basins likely serves to offset greenhouse gas release from thermokarst-impacted landscapes and should be incorporated in landscape-scale C budgets.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research G: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JG001766","usgsCitation":"Jones, M.C., Grosse, G., Jones, B.M., and Anthony, K.W., 2012, Peat accumulation in drained thermokarst lake basins in continuous, ice-rich permafrost, northern Seward Peninsula, Alaska: Journal of Geophysical Research G: Biogeosciences, v. 117, https://doi.org/10.1029/2011JG001766.","productDescription":"16 p.","startPage":"G00M07","additionalOnlineFiles":"N","ipdsId":"IP-035962","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":263483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263480,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JG001766"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -130.0,71.39 ], [ -130.0,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","volume":"117","noUsgsAuthors":false,"publicationDate":"2012-04-07","publicationStatus":"PW","scienceBaseUri":"50e0f56ce4b0fec3206f1c76","contributors":{"authors":[{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":469233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":469235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":469232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anthony, Katey Walter","contributorId":77441,"corporation":false,"usgs":true,"family":"Anthony","given":"Katey","email":"","middleInitial":"Walter","affiliations":[],"preferred":false,"id":469234,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041141,"text":"ofr20121245 - 2012 - Linking physical monitoring to coho and Chinook salmon populations in the Redwood Creek Watershed, California—Summary of May 3–4, 2012 Workshop","interactions":[],"lastModifiedDate":"2018-03-21T14:40:08","indexId":"ofr20121245","displayToPublicDate":"2012-11-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1245","title":"Linking physical monitoring to coho and Chinook salmon populations in the Redwood Creek Watershed, California—Summary of May 3–4, 2012 Workshop","docAbstract":"On Thursday, May 3, 2012, a science workshop was held at the Redwood National and State Parks (RNSP) office in Arcata, California, with researchers and resource managers working in RNSP to share data and expert opinions concerning salmon populations and habitat in the Redwood Creek watershed. The focus of the workshop was to discuss how best to synthesize physical and biological data related to the freshwater and estuarine phases of salmon life cycles in order to increase the understanding of constraints on salmon populations. The workshop was hosted by the U.S. Geological Survey (USGS) Status and Trends (S&T) Program National Park Monitoring Project (http://www.fort.usgs.gov/brdscience/ParkMonitoring.htm), which supports USGS research on priority topics (themes) identified by the National Park Service (NPS) Inventory and Monitoring Program (I&M) and S&T. The NPS has organized more than 270 parks with significant natural resources into 32 Inventory and Monitoring (I&M) Networks (http://science.nature.nps.gov/im/networks.cfm) that share funding and core professional staff to monitor the status and long-term trends of selected natural resources (http://science.nature.nps.gov/im/monitor). All 32 networks have completed vital signs monitoring plans (available at http://science.nature.nps.gov/im/monitor/MonitoringPlans.cfm), containing background information on the important resources of each park, conceptual models behind the selection of vital signs for monitoring the condition of natural resources, and the selection of high priority vital signs for monitoring. Vital signs are particular physical, chemical, and biological elements and processes of park ecosystems that represent the overall health or condition of the park, known or hypothesized effects of stressors, or elements that have important human values (Fancy and others, 2009). Beginning in 2009, the I&M program funded projects to analyze and synthesize the biotic and abiotic data generated by vital signs monitoring and previous in-park natural resource monitoring and inventories to provide useful information, models, and tools to park managers for addressing resource management issues. The workshop described in this report is an element of the project funded by USGS NPS-I&M program to conduct a synthesis of salmon-related datasets in the Klamath (KLMN) and San Francisco Bay Area (SFAN) networks of national parks. The synthesis focused on four park units: Redwood National Park (KLMN), Point Reyes National Seashore, Muir Woods National Monument, and Golden Gate National Recreation Area (SFAN).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121245","usgsCitation":"Madej, M.A., Torregrosa, A.A., and Woodward, A., 2012, Linking physical monitoring to coho and Chinook salmon populations in the Redwood Creek Watershed, California—Summary of May 3–4, 2012 Workshop: U.S. Geological Survey Open-File Report 2012-1245, iv, 24 p., https://doi.org/10.3133/ofr20121245.","productDescription":"iv, 24 p.","numberOfPages":"32","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":263490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1245.jpg"},{"id":263488,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1245/"},{"id":263489,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1245/pdf/ofr20121245.pdf"}],"country":"United States","state":"California","city":"Arcata;Orick","otherGeospatial":"Olema Creek;Redwood National And State Parks","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.16,41.0 ], [ -124.16,41.84 ], [ -123.85,41.84 ], [ -123.85,41.0 ], [ -124.16,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50df8f40e4b0dfbe79e6d863","contributors":{"authors":[{"text":"Madej, Mary Ann 0000-0003-2831-3773 mary_ann_madej@usgs.gov","orcid":"https://orcid.org/0000-0003-2831-3773","contributorId":40304,"corporation":false,"usgs":true,"family":"Madej","given":"Mary","email":"mary_ann_madej@usgs.gov","middleInitial":"Ann","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":469447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":469446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":469445,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}