{"pageNumber":"91","pageRowStart":"2250","pageSize":"25","recordCount":11370,"records":[{"id":70141390,"text":"70141390 - 2014 - Development and characterization of microsatellite markers for the Hawaiian coot, <i>Fulica alai</i>, and Hawaiian gallinule, <i>Gallinula galeata sandvicensis</i>, through next-generation sequencing","interactions":[],"lastModifiedDate":"2015-02-18T14:54:16","indexId":"70141390","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development and characterization of microsatellite markers for the Hawaiian coot, <i>Fulica alai</i>, and Hawaiian gallinule, <i>Gallinula galeata sandvicensis</i>, through next-generation sequencing","docAbstract":"<p><span>We used next generation shotgun sequencing to develop novel microsatellite markers for two endangered waterbirds; the Hawaiian coot (</span><i>Fulica alai</i><span>) and Hawaiian gallinule (</span><i>Gallinula galeata sandvicensis</i><span>). The 20 loci polymorphic in the Hawaiian coot displayed moderate allelic diversity (average 3.8 alleles/locus) and heterozygosity (average 59.5&nbsp;%). The 12 loci variable for the Hawaiian gallinule exhibited lower levels of allelic diversity (average 2.4 alleles/locus) and heterozygosity (average 47.5&nbsp;%). Loci were in linkage equilibrium and only one locus deviated from Hardy&ndash;Weinberg equilibrium. These loci are sufficiently variable to assess levels of genetic diversity and will be useful for conservation genetic studies to aid in the management of these endangered waterbirds.</span></p>","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s12686-014-0210-z","usgsCitation":"Sonsthagen, S.A., Wilson, R.E., and Underwood, J., 2014, Development and characterization of microsatellite markers for the Hawaiian coot, <i>Fulica alai</i>, and Hawaiian gallinule, <i>Gallinula galeata sandvicensis</i>, through next-generation sequencing: Conservation Genetics Resources, v. 6, no. 3, p. 765-767, https://doi.org/10.1007/s12686-014-0210-z.","productDescription":"3 p.","startPage":"765","endPage":"767","numberOfPages":"3","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056020","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":298040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-24","publicationStatus":"PW","scienceBaseUri":"54e5c5bce4b02d776a669eb5","contributors":{"authors":[{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":540751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":540827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Underwood, Jared G.","contributorId":139332,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared G.","affiliations":[],"preferred":false,"id":540828,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70147247,"text":"70147247 - 2014 - Accounting for rate variation among lineages in comparative demographic analyses","interactions":[],"lastModifiedDate":"2018-08-20T18:09:29","indexId":"70147247","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1598,"text":"Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for rate variation among lineages in comparative demographic analyses","docAbstract":"<p><span>Genetic analyses of contemporary populations can be used to estimate the demographic histories of species within an ecological community. Comparison of these demographic histories can shed light on community responses to past climatic events. However, species experience different rates of molecular evolution, and this presents a major obstacle to comparative demographic analyses. We address this problem by using a Bayesian relaxed-clock method to estimate the relative evolutionary rates of 22 small mammal taxa distributed across northwestern North America. We found that estimates of the relative molecular substitution rate for each taxon were consistent across the range of sampling schemes that we compared. Using three different reference rates, we rescaled the relative rates so that they could be used to estimate absolute evolutionary timescales. Accounting for rate variation among taxa led to temporal shifts in our skyline-plot estimates of demographic history, highlighting both uniform and idiosyncratic evolutionary responses to directional climate trends for distinct ecological subsets of the small mammal community. Our approach can be used in evolutionary analyses of populations from multiple species, including comparative demographic studies.</span></p>","language":"English","publisher":"Wiley-Blackwell Publishing Ltd.","doi":"10.1111/evo.12469","usgsCitation":"Hope, A.G., Ho, S.Y., Malaney, J.L., Cook, J.A., and Talbot, S.L., 2014, Accounting for rate variation among lineages in comparative demographic analyses: Evolution, v. 68, no. 9, p. 2689-2700, https://doi.org/10.1111/evo.12469.","productDescription":"12 p.","startPage":"2689","endPage":"2700","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052138","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":299947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-21","publicationStatus":"PW","scienceBaseUri":"554200b6e4b0a658d793b2a7","contributors":{"authors":[{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":545740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ho, Simon Y. W.","contributorId":140461,"corporation":false,"usgs":false,"family":"Ho","given":"Simon","email":"","middleInitial":"Y. W.","affiliations":[],"preferred":false,"id":545747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malaney, Jason L.","contributorId":140462,"corporation":false,"usgs":false,"family":"Malaney","given":"Jason","email":"","middleInitial":"L.","affiliations":[{"id":13048,"text":"Department of Natural Resources and Environmental Science, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":545748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":545749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":545741,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70123000,"text":"sir20145160 - 2014 - 2012 volcanic activity in Alaska: Summary of events and response of the Alaska Volcano Observatory","interactions":[],"lastModifiedDate":"2019-12-16T17:17:34","indexId":"sir20145160","displayToPublicDate":"2014-08-29T16:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5160","title":"2012 volcanic activity in Alaska: Summary of events and response of the Alaska Volcano Observatory","docAbstract":"The Alaska Volcano Observatory (AVO) responded to eruptions, possible eruptions, volcanic unrest, or suspected unrest at 11 volcanic centers in Alaska during 2012. Of the two verified eruptions, one (Cleveland) was clearly magmatic and the other (Kanaga) was most likely a single phreatic explosion. Two other volcanoes had notable seismic swarms that probably were caused by magmatic intrusions (Iliamna and Little Sitkin). For each period of clear volcanic unrest, AVO staff increased monitoring vigilance as needed, reviewed eruptive histories of the volcanoes in question to help evaluate likely outcomes, and shared observations and interpretations with the public. 2012 also was the 100th anniversary of Alaska’s Katmai-Novarupta eruption of 1912, the largest eruption on Earth in the 20th century and one of the most important volcanic eruptions in modern times. AVO marked this occasion with several public events.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145160","collaboration":"The Alaska Volcano Observatory is a cooperative program of the U.S. Geological Survey, University of Alaska Fairbanks Geophysical Institute, and the Alaska Division of Geological and Geophysical Surveys. The Alaska Volcano Observatory is funded by the U.S. Geological Survey Volcano Hazards Program and the State of Alaska","usgsCitation":"Herrick, J.A., Neal, C., Cameron, C., Dixon, J.P., and McGimsey, R.G., 2014, 2012 volcanic activity in Alaska: Summary of events and response of the Alaska Volcano Observatory: U.S. Geological Survey Scientific Investigations Report 2014-5160, vi, 81 p., https://doi.org/10.3133/sir20145160.","productDescription":"vi, 81 p.","numberOfPages":"92","onlineOnly":"Y","ipdsId":"IP-053457","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":293226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145160.jpg"},{"id":293225,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5160/pdf/sir2014-5160.pdf"},{"id":293221,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5160/"}],"country":"United States","state":"Alaska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540185afe4b0ae951d95c967","contributors":{"authors":[{"text":"Herrick, Julie A.","contributorId":17151,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":499821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neal, Christina A. 0000-0002-7697-7825","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":82660,"corporation":false,"usgs":true,"family":"Neal","given":"Christina A.","affiliations":[],"preferred":false,"id":499823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, Cheryl E.","contributorId":37421,"corporation":false,"usgs":true,"family":"Cameron","given":"Cheryl E.","affiliations":[],"preferred":false,"id":499822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dixon, James P. 0000-0002-8478-9971 jpdixon@usgs.gov","orcid":"https://orcid.org/0000-0002-8478-9971","contributorId":3163,"corporation":false,"usgs":true,"family":"Dixon","given":"James","email":"jpdixon@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":499820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":499819,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70122991,"text":"sir20145159 - 2014 - 2011 volcanic activity in Alaska: summary of events and response of the Alaska Volcano Observatory","interactions":[],"lastModifiedDate":"2014-08-29T16:59:57","indexId":"sir20145159","displayToPublicDate":"2014-08-29T16:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5159","title":"2011 volcanic activity in Alaska: summary of events and response of the Alaska Volcano Observatory","docAbstract":"The Alaska Volcano Observatory (AVO) responded to eruptions, possible eruptions, and volcanic unrest at or near three separate volcanic centers in Alaska during 2011. The year was highlighted by the unrest and eruption of Cleveland Volcano in the central Aleutian Islands. AVO annual summaries no longer report on activity at Russian volcanoes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145159","collaboration":"The Alaska Volcano Observatory is a cooperative program of the U.S. Geological Survey, University of Alaska Fairbanks Geophysical Institute, and the Alaska Division of Geological and Geophysical Surveys. The Alaska Volcano Observatory is funded by the U.S. Geological Survey Volcano Hazards Program and the State of Alaska","usgsCitation":"McGimsey, R.G., Maharrey, J.Z., and Neal, C., 2014, 2011 volcanic activity in Alaska: summary of events and response of the Alaska Volcano Observatory: U.S. Geological Survey Scientific Investigations Report 2014-5159, v, 49 p., https://doi.org/10.3133/sir20145159.","productDescription":"v, 49 p.","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-053972","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":293220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145159.jpg"},{"id":293219,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5159/pdf/sir2014-5159.pdf"},{"id":293217,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5159/"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 190.00,50.00 ], [ 190.00,60.00 ], [ -145.00,60.00 ], [ -145.00,50.00 ], [ 190.00,50.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540185aee4b0ae951d95c95e","contributors":{"authors":[{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":499816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maharrey, J. Zebulon","contributorId":20625,"corporation":false,"usgs":true,"family":"Maharrey","given":"J.","email":"","middleInitial":"Zebulon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":499817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, Christina A. 0000-0002-7697-7825","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":82660,"corporation":false,"usgs":true,"family":"Neal","given":"Christina A.","affiliations":[],"preferred":false,"id":499818,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70122760,"text":"70122760 - 2014 - Irruptive dynamics of introduced caribou on Adak Island, Alaska: an evaluation of Riney-Caughley model predictions","interactions":[],"lastModifiedDate":"2014-08-28T10:55:39","indexId":"70122760","displayToPublicDate":"2014-08-28T10:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Irruptive dynamics of introduced caribou on Adak Island, Alaska: an evaluation of Riney-Caughley model predictions","docAbstract":"Large mammalian herbivores introduced to islands without predators are predicted to undergo irruptive population and spatial dynamics, but only a few well-documented case studies support this paradigm. We used the Riney-Caughley model as a framework to test predictions of irruptive population growth and spatial expansion of caribou (<i>Rangifer tarandus granti</i>) introduced to Adak Island in the Aleutian archipelago of Alaska in 1958 and 1959. We utilized a time series of spatially explicit counts conducted on this population intermittently over a 54-year period. Population size increased from 23 released animals to approximately 2900 animals in 2012. Population dynamics were characterized by two distinct periods of irruptive growth separated by a long time period of relative stability, and the catalyst for the initial irruption was more likely related to annual variation in hunting pressure than weather conditions. An unexpected pattern resembling logistic population growth occurred between the peak of the second irruption in 2005 and the next survey conducted seven years later in 2012. Model simulations indicated that an increase in reported harvest alone could not explain the deceleration in population growth, yet high levels of unreported harvest combined with increasing density-dependent feedbacks on fecundity and survival were the most plausible explanation for the observed population trend. No studies of introduced island <i>Rangifer</i> have measured a time series of spatial use to the extent described in this study. Spatial use patterns during the post-calving season strongly supported Riney-Caughley model predictions, whereby high-density core areas expanded outwardly as population size increased. During the calving season, caribou displayed marked site fidelity across the full range of population densities despite availability of other suitable habitats for calving. Finally, dispersal and reproduction on neighboring Kagalaska Island represented a new dispersal front for irruptive dynamics and a new challenge for resource managers. The future demography of caribou on both islands is far from certain, yet sustained and significant hunting pressure should be a vital management tool.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES13-00338.1","usgsCitation":"Ricca, M., Van Vuren, D., Weckerly, F.W., Williams, J., and Miles, A.K., 2014, Irruptive dynamics of introduced caribou on Adak Island, Alaska: an evaluation of Riney-Caughley model predictions: Ecosphere, v. 5, no. 8, 24 p., https://doi.org/10.1890/ES13-00338.1.","productDescription":"24 p.","numberOfPages":"24","ipdsId":"IP-052046","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472807,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00338.1","text":"Publisher Index Page"},{"id":293150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293142,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES13-00338.1"}],"country":"United States","state":"Alaska","otherGeospatial":"Adak Island;Aleutian Archipelago;Kagalaska Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -176.992716,51.590596 ], [ -176.992716,52.001917 ], [ -176.250485,52.001917 ], [ -176.250485,51.590596 ], [ -176.992716,51.590596 ] ] ] } } ] }","volume":"5","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-11","publicationStatus":"PW","scienceBaseUri":"54003434e4b04e908030b545","contributors":{"authors":[{"text":"Ricca, Mark A.","contributorId":39736,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark A.","affiliations":[],"preferred":false,"id":499685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Vuren, Dirk H.","contributorId":89408,"corporation":false,"usgs":true,"family":"Van Vuren","given":"Dirk H.","affiliations":[],"preferred":false,"id":499687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weckerly, Floyd W.","contributorId":10298,"corporation":false,"usgs":false,"family":"Weckerly","given":"Floyd","email":"","middleInitial":"W.","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":499684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Jeffrey C.","contributorId":41333,"corporation":false,"usgs":false,"family":"Williams","given":"Jeffrey C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":499686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":499683,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70121945,"text":"ofr20141182 - 2014 - Guidelines for the collection of continuous stream water-temperature data in Alaska","interactions":[],"lastModifiedDate":"2014-08-27T12:23:24","indexId":"ofr20141182","displayToPublicDate":"2014-08-27T11:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1182","title":"Guidelines for the collection of continuous stream water-temperature data in Alaska","docAbstract":"Objectives of stream monitoring programs differ considerably among many of the academic, Federal, state, tribal, and non-profit organizations in the state of Alaska. Broad inclusion of stream-temperature monitoring can provide an opportunity for collaboration in the development of a statewide stream-temperature database. Statewide and regional coordination could reduce overall monitoring cost, while providing better analyses at multiple spatial and temporal scales to improve resource decision-making. Increased adoption of standardized protocols and data-quality standards may allow for validation of historical modeling efforts with better projection calibration. For records of stream water temperature to be generally consistent, unbiased, and reproducible, data must be collected and analyzed according to documented protocols. Collection of water-temperature data requires definition of data-quality objectives, good site selection, proper selection of instrumentation, proper installation of sensors, periodic site visits to maintain sensors and download data, pre- and post-deployment verification against an NIST-certified thermometer, potential data corrections, and proper documentation, review, and approval. A study created to develop a quality-assurance project plan, data-quality objectives, and a database management plan that includes procedures for data archiving and dissemination could provide a means to standardize a statewide stream-temperature database in Alaska. Protocols can be modified depending on desired accuracy or specific needs of data collected. This document is intended to guide users in collecting time series water-temperature data in Alaskan streams and draws extensively on the broader protocols already published by the U.S. Geological Survey.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141182","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Toohey, R., Neal, E., and Solin, G.L., 2014, Guidelines for the collection of continuous stream water-temperature data in Alaska: U.S. Geological Survey Open-File Report 2014-1182, iv, 34 p., https://doi.org/10.3133/ofr20141182.","productDescription":"iv, 34 p.","numberOfPages":"37","onlineOnly":"Y","ipdsId":"IP-058762","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":293098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141182.PNG"},{"id":293096,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1182/pdf/ofr2014-1182.pdf"},{"id":293094,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1182/"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.4,51.2 ], [ 172.4,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.4,51.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fee2aee4b01f35f8fd138c","contributors":{"authors":[{"text":"Toohey, Ryan C.","contributorId":7201,"corporation":false,"usgs":true,"family":"Toohey","given":"Ryan C.","affiliations":[],"preferred":false,"id":499411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neal, Edward G.","contributorId":68775,"corporation":false,"usgs":true,"family":"Neal","given":"Edward G.","affiliations":[],"preferred":false,"id":499412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Solin, Gary L. glsolin@usgs.gov","contributorId":5675,"corporation":false,"usgs":true,"family":"Solin","given":"Gary","email":"glsolin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":499410,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189956,"text":"70189956 - 2014 - Effects of permafrost thaw on CO2 and CH4 exchange in a western Alaska peatland chronosequence","interactions":[],"lastModifiedDate":"2018-06-19T19:52:05","indexId":"70189956","displayToPublicDate":"2014-08-26T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Effects of permafrost thaw on CO2 and CH4 exchange in a western Alaska peatland chronosequence","docAbstract":"<p><span>Permafrost soils store over half of global soil carbon (C), and northern frozen peatlands store about 10% of global permafrost C. With thaw, inundation of high latitude lowland peatlands typically increases the surface-atmosphere flux of methane (CH</span><sub>4</sub><span>), a potent greenhouse gas. To examine the effects of lowland permafrost thaw over millennial timescales, we measured carbon dioxide (CO</span><sub>2</sub><span>) and CH</span><sub>4</sub><span><span>&nbsp;</span>exchange along sites that constitute a ~1000 yr thaw chronosequence of thermokarst collapse bogs and adjacent fen locations at Innoko Flats Wildlife Refuge in western Alaska. Peak CH</span><sub>4</sub><span>exchange in July (123&nbsp;±&nbsp;71 mg CH</span><sub>4</sub><span>–C m</span><sup>−2</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span>) was observed in features that have been thawed for 30 to 70 (&lt;100) yr, where soils were warmer than at more recently thawed sites (14 to 21 yr; emitting 1.37&nbsp;±&nbsp;0.67 mg CH</span><sub>4</sub><span>–C m</span><sup>−2</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span><span>&nbsp;</span>in July) and had shallower water tables than at older sites (200 to 1400 yr; emitting 6.55&nbsp;±&nbsp;2.23 mg CH</span><sub>4</sub><span>–C m</span><sup>−2</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span><span>&nbsp;</span>in July). Carbon lost via CH</span><sub>4</sub><span><span>&nbsp;</span>efflux during the growing season at these intermediate age sites was 8% of uptake by net ecosystem exchange. Our results provide evidence that CH</span><sub>4</sub><span><span>&nbsp;</span>emissions following lowland permafrost thaw are enhanced over decadal time scales, but limited over millennia. Over larger spatial scales, adjacent fen systems may contribute sustained CH</span><sub>4</sub><span><span>&nbsp;</span>emission, CO</span><sub>2</sub><span><span>&nbsp;</span>uptake, and DOC export. We argue that over timescales of decades to centuries, thaw features in high-latitude lowland peatlands, particularly those developed on poorly drained mineral substrates, are a key locus of elevated CH</span><sub>4</sub><span><span>&nbsp;</span>emission to the atmosphere that must be considered for a complete understanding of high latitude CH</span><sub>4</sub><span><span>&nbsp;</span>dynamics.</span></p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/9/8/085004","usgsCitation":"Johnston, C.E., Ewing, S.A., Harden, J.W., Ruth K. Varner, Wickland, K.P., Koch, J.C., Fuller, C.C., Manies, K.L., and Jorgenson, M.T., 2014, Effects of permafrost thaw on CO2 and CH4 exchange in a western Alaska peatland chronosequence: Environmental Research Letters, v. 8, no. 085004, p. 1-12, https://doi.org/10.1088/1748-9326/9/8/085004.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-056073","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472813,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/9/8/085004","text":"Publisher Index Page"},{"id":344458,"rank":1,"type":{"id":12,"text":"Errata"},"url":"https://iopscience.iop.org/article/10.1088/1748-9326/9/10/109601/meta;jsessionid=5C78E7E8D66473D55CC29051DC45FD74.c3.iopscience.cld.iop.org"},{"id":344459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.8128662109375,\n              63.10718453713859\n            ],\n            [\n              -158.16467285156247,\n              63.10718453713859\n            ],\n            [\n              -158.16467285156247,\n              63.393981979471064\n            ],\n            [\n              -158.8128662109375,\n              63.393981979471064\n            ],\n            [\n              -158.8128662109375,\n              63.10718453713859\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"085004","edition":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-27","publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca278935a","contributors":{"authors":[{"text":"Johnston, Carmel E.","contributorId":195362,"corporation":false,"usgs":false,"family":"Johnston","given":"Carmel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":706876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ewing, Stephanie A.","contributorId":195363,"corporation":false,"usgs":false,"family":"Ewing","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruth K. Varner","contributorId":195365,"corporation":false,"usgs":false,"family":"Ruth K. Varner","affiliations":[],"preferred":false,"id":706880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":706875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":706881,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":706882,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706955,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jorgenson, M. Torre","contributorId":195366,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M.","email":"","middleInitial":"Torre","affiliations":[],"preferred":false,"id":706883,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70121632,"text":"ofr20141178 - 2014 - Resource manager information needs regarding hydrologic regime shifts for the North Pacific Landscape Conservation","interactions":[],"lastModifiedDate":"2014-08-25T14:19:27","indexId":"ofr20141178","displayToPublicDate":"2014-08-25T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1178","title":"Resource manager information needs regarding hydrologic regime shifts for the North Pacific Landscape Conservation","docAbstract":"<p>Landscape Conservation Cooperatives (LCCs) are a network of 22 public-private partnerships, defined by ecoregion, that share and provide science to ensure the sustainability of land, water, wildlife, and cultural resources in North America. LCCs were established by the U.S. Department of the Interior (DOI) in recognition of the fact that response to climate change must be coordinated on a landscape-level basis because important resources, ecosystem processes, and resource management challenges extend beyond most of the boundaries considered in current natural resource management.</p>\n<br>\n<p>The North Pacific LCC (NPLCC) covers the range of the Pacific coastal temperate rainforest, including an area of 528,360 km<sup>2</sup> spanning 22 degrees of latitude from the Kenai Peninsula, Alaska, to Bodega Bay, California. The coverage area includes parts of four States, two Canadian provinces, and more than 100 Tribes and First Nation language groups. It extends from alpine areas at the crest of coastal mountains across subalpine, montane, and lowland forests to the nearshore marine environment. This wide range of latitudes and elevation zones; terrestrial, freshwater, and marine habitats; and complex jurisdictional boundaries hosts a diversity of natural resources and their corresponding management issues are equally diverse.</p>\n<br>\n<p>As evidenced by the Science and Traditional Ecological Knowledge (S-TEK) Strategy guiding principles, identifying and responding to the needs of resource managers is key to the success of the NPLCC. To help achieve this goal of the NPLCC, the U.S. Geological Survey (USGS) has organized several workshops with resource managers and resource scientists to identify management information needs relevant to the priority topics identified in the S-TEK Strategy. Here, we detail the results from a first workshop to address the effects of changes in hydrologic regime on rivers, streams, and riparian corridors. The workshop focused on a subset of the full NPLCC geography and was structured to answer the following questions:</p>\n<br>\n<p>What are the valued resources and services that may be affected by hydrologic regime changes in the region?</p>\n<p>What are the management goals for those resources?</p>\n<p>How is climate change anticipated to affect valued resources and goals?</p>\n<p>What adaptation strategies may managers use in response to anticipated changes in resources due to climate-related hydrologic change?</p>\n<p>What information is needed to inform and use management responses?</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141178","collaboration":"Prepared in cooperation with the North Pacific Landscape Conservation Cooperative.","usgsCitation":"Woodward, A., and Jenni, K., 2014, Resource manager information needs regarding hydrologic regime shifts for the North Pacific Landscape Conservation: U.S. Geological Survey Open-File Report 2014-1178, iv, 28 p., https://doi.org/10.3133/ofr20141178.","productDescription":"iv, 28 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-058025","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":292988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141178.PNG"},{"id":292986,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1178/"},{"id":292987,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1178/pdf/ofr2014-1178.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.0879,38.295711 ], [ -152.0879,60.92 ], [ -122.986329,60.92 ], [ -122.986329,38.295711 ], [ -152.0879,38.295711 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc3fb4e4b0413fd75d298e","contributors":{"authors":[{"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":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":499238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenni, Karen","contributorId":101520,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen","affiliations":[],"preferred":false,"id":499239,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70120126,"text":"fs20143058 - 2014 - The 3D Elevation Program: summary for Georgia","interactions":[],"lastModifiedDate":"2016-08-17T15:28:20","indexId":"fs20143058","displayToPublicDate":"2014-08-20T09:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3058","title":"The 3D Elevation Program: summary for Georgia","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Georgia, elevation data are critical for infrastructure and construction management, natural resources conservation, flood risk management, agriculture and precision farming, forest resources management, water supply and quality, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios.The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143058","issn":"2327–6932","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Georgia: U.S. Geological Survey Fact Sheet 2014-3058, 2 p., 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,{"id":70120125,"text":"fs20143057 - 2014 - The 3D Elevation Program: summary for Mississippi","interactions":[],"lastModifiedDate":"2016-08-17T15:29:41","indexId":"fs20143057","displayToPublicDate":"2014-08-15T09:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3057","title":"The 3D Elevation Program: summary for Mississippi","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Mississippi, elevation data are critical for infrastructure and construction management, flood risk management, agriculture and precision farming, natural resources conservation, forest resources management, water supply and quality, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios.The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143057","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Mississippi: U.S. Geological Survey Fact Sheet 2014-3057, 2 p., https://doi.org/10.3133/fs20143057.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052812","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":292256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143057.jpg"},{"id":292254,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3057/"},{"id":292255,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3057/pdf/fs2014-3057.pdf","text":"Report","size":"267 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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,{"id":70117069,"text":"fs20143060 - 2014 - Strategic needs of water on the Yukon: an interdisciplinary approach to studying hydrology and climate change in the Lower Yukon River Basin","interactions":[],"lastModifiedDate":"2014-08-14T14:17:09","indexId":"fs20143060","displayToPublicDate":"2014-08-14T13:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3060","title":"Strategic needs of water on the Yukon: an interdisciplinary approach to studying hydrology and climate change in the Lower Yukon River Basin","docAbstract":"Strategic Needs of Water on the Yukon (SNOWY) is an interdisciplinary research project funded by the National Science Foundation (NSF; <a href=\"http://www.nsf.gov/\" target=\"_blank\">http://www.nsf.gov/</a>). The SNOWY team is made up of a diverse group of researchers from different backgrounds and organizations. This partnership between scientists from different disciplines (hydrology, geography, and social science), government agencies, nonprofit organizations, universities, and Lower Yukon River Basin (LYRB) and Yukon-Kuskokwim (YK) Delta communities provided an opportunity to study the effects of climate change using a holistic approach. The Arctic and Subarctic are experiencing environmental change at a rate faster than the rest of the world, and the lack of historical baseline data in these often remote locations makes understanding and predicting regional climate change difficult. This project focused on collecting data to fill in these gaps by using both quantitative and qualitative methodologies to tell the story of environmental change in this region as told by the physical data and the people who rely on this landscape.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143060","usgsCitation":"Herman-Mercer, N.M., and Schuster, P.F., 2014, Strategic needs of water on the Yukon: an interdisciplinary approach to studying hydrology and climate change in the Lower Yukon River Basin: U.S. Geological Survey Fact Sheet 2014-3060, 4 p., https://doi.org/10.3133/fs20143060.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-057529","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true}],"links":[{"id":292213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143060.jpg"},{"id":292212,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3060/pdf/fs2014-3060.pdf"},{"id":292211,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3060/"}],"country":"United States","state":"Alaska","otherGeospatial":"Lower Yukon River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.57,60.47 ], [ -166.57,63.36 ], [ -161.34,63.36 ], [ -161.34,60.47 ], [ -166.57,60.47 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53edbf35e4b0f61b386c8274","contributors":{"authors":[{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":495916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":495915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70120127,"text":"fs20143059 - 2014 - The 3D Elevation Program: summary for Arkansas","interactions":[],"lastModifiedDate":"2016-08-17T15:31:16","indexId":"fs20143059","displayToPublicDate":"2014-08-13T13:09:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3059","title":"The 3D Elevation Program: summary for Arkansas","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Arkansas, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, forest resources management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios.The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143059","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Arkansas: U.S. Geological Survey Fact Sheet 2014-3059, 2 p., 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,{"id":70121421,"text":"70121421 - 2014 - Spring migration ecology of the mid-continent sandhill crane population with an emphasis on use of the Central Platte River Valley, Nebraska","interactions":[],"lastModifiedDate":"2018-01-02T11:32:09","indexId":"70121421","displayToPublicDate":"2014-08-13T10:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3773,"text":"Wildlife Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Spring migration ecology of the mid-continent sandhill crane population with an emphasis on use of the Central Platte River Valley, Nebraska","docAbstract":"<p>We conducted a 10-year study (1998–2007) of the Mid-Continent Population (MCP) of sandhill cranes (Grus canadensis) to identify spring-migration corridors, locations of major stopovers, and migration chronology by crane breeding affiliation (western Alaska–Siberia [WA–S], northern Canada–Nunavut [NC–N], west-central Canada–Alaska [WC–A], and east-central Canada–Minnesota [EC–M]). In the Central Platte River Valley (CPRV) of Nebraska, we evaluated factors influencing staging chronology, food habits, fat storage, and habitat use of sandhill cranes. We compared our findings to results from the Platte River Ecology Study conducted during 1978–1980. We determined spring migration corridors used by the breeding affiliations (designated subpopulations for management purposes) by monitoring 169 cranes marked with platform transmitter terminals (PTTs). We also marked and monitored 456 cranes in the CPRV with very high frequency (VHF) transmitters to evaluate length and pattern of stay, habitat use, and movements. An estimated 42% and 58% of cranes staging in the CPRV were greater sandhill cranes (G. c. tabida) and lesser sandhill cranes (G. c. canadensis), and they stayed for an average of 20 and 25 days (2000–2007), respectively. Cranes from the WA–S, NC–N, WC–A, and EC–M affiliations spent an average of 72, 77, 52, and 53 days, respectively, in spring migration of which 28, 23, 24, and 18 days occurred in the CPRV. The majority of the WA–S subpopulation settled in the CPRV apparently because of inadequate habitat to support more birds upstream, although WA–S cranes accounted for >90% of birds staging in the North Platte River Valley. Crane staging duration in the CPRV was negatively correlated with arrival dates; 92% of cranes stayed >7 days. A program of annual mechanical removal of mature stands of woody growth and seedlings that began in the early 1980s primarily in the main channel of the Platte River has allowed distribution of crane roosts to remain relatively stable over the past 2 decades. Most cranes returned to nocturnal roost sites used in previous years. Corn residues dominated the diet of sandhill cranes in the CPRV, as in the 1970s, despite a marked decline in standing crop of corn residues. Only 14% (10 of 74) of PTT-marked migrant cranes stayed at stopovers for ≥5 days before arriving in the CPRV, which limited the contribution of sites south of the CPRV for fat accumulation needed for migration and reproduction. Body masses of cranes (after adjusting for body size [an index of fat]) at arrival in the CPRV varied widely among years (1998–2006), indicating the importance of maintaining productive habitats on the wintering grounds to condition cranes for migration and reproduction. Average rates of fat gain by adult females while in the CPRV remained similar from 1978–1979 to 1998–1999 but declined among males. Distances cranes flew to feeding grounds in the CPRV increased as the percentage of cropland planted to soybeans increased and as density of cranes on nocturnal roosts increased. These results suggest that as habitats of limited or no value to cranes increase on the landscape, more flight time and higher maintenance costs may reduce fat storage. An estimated 40% of diurnal use occurred north of Interstate 80 (I-80) where ≤5% of lands dedicated to crane conservation are located. Seventy-four and 40% of PTT-marked EC–M and WC–A cranes had spring migrations that included staging in eastern South Dakota for an average of 11 and 10 days, respectively. Cranes of the NC–N, WA–S, and WC–A subpopulations staged an average of 25, 17, and 12 days in central and western Saskatchewan/eastern Alberta. Females in these affiliations increased their fat reserves after leaving Nebraska by an estimated 450, 451, and 452 g, respectively, underscoring the key role of these staging areas in preparing the 3 subpopulations for reproduction. After departing Nebraska, MCP cranes roosted primarily in basin wetlands. Most of these wetlands are in private ownership and lack adequate protection, emphasizing the need for effective laws and policies to ensure their long-term protection. The continued success of the current management goal of maintaining the MCP at approximately its current size and providing diverse recreational opportunities over a wide area of midcontinent and western North America is predicated on the ability of MCP cranes to continue to store large fat reserves in the CPRV in advance of breeding. For the CPRV to remain a key fat storage site, active channel maintenance (e.g., clearing of woody vegetation) likely will need to continue, along with establishing minimum stream flows. These actions would help ensure nocturnal roosting habitat remains sufficiently dispersed to provide cranes with daily intake of high-energy food adequate for major fat storage and limit risk of high mortality from storms and disease. Published 2014. 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,{"id":70119940,"text":"fs20143055 - 2014 - The 3D Elevation Program: Summary for Massachusetts","interactions":[],"lastModifiedDate":"2025-01-13T14:36:58.063532","indexId":"fs20143055","displayToPublicDate":"2014-08-12T08:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3055","title":"The 3D Elevation Program: Summary for Massachusetts","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the Commonwealth of Massachusetts, elevation data are critical for flood risk management, natural resources conservation, agriculture and precision farming, infrastructure and construction management, coastal zone management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143055","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: Summary for Massachusetts: U.S. Geological Survey Fact Sheet 2014-3055, 2 p., https://doi.org/10.3133/fs20143055.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056072","costCenters":[{"id":423,"text":"National Geospatial 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53eb1c2ee4b0461e4475c430","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":497869,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70119874,"text":"70119874 - 2014 - Environmental and physiological influences to isotopic ratios of N and protein status in a montane ungulate in winter","interactions":[],"lastModifiedDate":"2014-08-11T15:27:15","indexId":"70119874","displayToPublicDate":"2014-08-11T15:17:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Environmental and physiological influences to isotopic ratios of N and protein status in a montane ungulate in winter","docAbstract":"Winter severity can influence large herbivore populations through a reduction in maternal proteins available for reproduction. Nitrogen (N) isotopes in blood fractions can be used to track the use of body proteins in northern and montane ungulates. We studied 113 adult female caribou for 13 years throughout a series of severe winters that reduced population size and offspring mass. After these severe winters, offspring mass increased but the size of the population remained low. We devised a conceptual model for routing of isotopic N in blood in the context of the severe environmental conditions experienced by this population. We measured δ<sup>15</sup>N in three blood fractions and predicted the relative mobilization of dietary and body proteins. The δ<sup>15</sup>N of the body protein pool varied by 4‰ and 46% of the variance was associated with year. Annual variation in δ<sup>15</sup>N of body protein likely reflected the fall/early winter diet and winter locations, yet 15% of the isotopic variation in amino acid N was due to body proteins. Consistent isotopic differences among blood N pools indicated that animals tolerated fluxes in diet and body stores. Conservation of body protein in caribou is the result of active exchange among diet and body N pools. Adult females were robust to historically severe winter conditions and prioritized body condition and survival over early investment in offspring. For a vagile ungulate residing at low densities in a predator-rich environment, protein restrictions in winter may not be the primary limiting factor for reproduction.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0103471","usgsCitation":"Gustine, D.D., Barboza, P.S., Adams, L., and Wolf, N.B., 2014, Environmental and physiological influences to isotopic ratios of N and protein status in a montane ungulate in winter: PLoS ONE, v. 9, no. 8, 13 p., https://doi.org/10.1371/journal.pone.0103471.","productDescription":"13 p.","numberOfPages":"13","ipdsId":"IP-052428","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472821,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0103471","text":"Publisher Index Page"},{"id":291978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291944,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0103471"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -153.3084,62.1895 ], [ -153.3084,64.2574 ], [ -148.2959,64.2574 ], [ -148.2959,62.1895 ], [ -153.3084,62.1895 ] ] ] } } ] }","volume":"9","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-07","publicationStatus":"PW","scienceBaseUri":"53e9caafe4b008eaa4f35a78","contributors":{"authors":[{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":497823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barboza, Perry S.","contributorId":36454,"corporation":false,"usgs":false,"family":"Barboza","given":"Perry","email":"","middleInitial":"S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":497824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":497822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolf, Nathan B.","contributorId":67811,"corporation":false,"usgs":true,"family":"Wolf","given":"Nathan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":497825,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70116625,"text":"ofr20141150 - 2014 - Landscape and climate science and scenarios for Florida","interactions":[],"lastModifiedDate":"2014-08-07T16:13:54","indexId":"ofr20141150","displayToPublicDate":"2014-08-07T15:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1150","title":"Landscape and climate science and scenarios for Florida","docAbstract":"<p>The Peninsular Florida Landscape Conservation Cooperative (PFLCC) is part of a network of 22 Landscape Conservation Cooperatives (LCCs) that extend from Alaska to the Caribbean. LCCs are regional-applied conservation-science partnerships among Federal agencies, regional organizations, States, tribes, nongovernmental organizations (NGOs), private stakeholders, universities, and other entities within a geographic area. The goal of these conservation-science partnerships is to help inform managers and decision makers at a landscape scale to further the principles of adaptive management and strategic habitat conservation. A major focus for LCCs is to help conservation managers and decision makers respond to large-scale ecosystem and habitat stressors, such as climate change, habitat fragmentation, invasive species, and water scarcity.</p>\n<br/>\n<p>The purpose of the PFLCC is to facilitate planning, design, and implementation of conservation strategies for fish and wildlife species at the landscape level using the adaptive management framework of strategic habitat conservation—integrating planning, design, delivery, and evaluation. Florida faces a set of unique challenges when responding to regional and global stressors because of its unique ecosystems and assemblages of species, its geographic location at the crossroads of temperate and tropical climates, and its exposure to both rapid urbanization and rising sea levels as the climate warms.</p>\n<br/>\n<p>In response to these challenges, several landscape-scale science projects were initiated with the goal of informing decision makers about how potential changes in climate and the built environment could impact habitats and ecosystems of concern in Florida and the Southeast United States. In June 2012, the PFLCC, North Carolina State University, convened a workshop at the U.S. Geological Survey (USGS) Coastal and Marine Science Center in St. Petersburg to assess the results of these integrated assessments and to foster an open dialogue about science gaps and future research needs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141150","collaboration":"Prepared in cooperation with the Peninsular Florida Landscape Conservation Cooperative and the U.S. Fish and Wildlife Service","usgsCitation":"Terando, A., Traxler, S., and Collazo, J., 2014, Landscape and climate science and scenarios for Florida: U.S. Geological Survey Open-File Report 2014-1150, iv, 33 p., https://doi.org/10.3133/ofr20141150.","productDescription":"iv, 33 p.","numberOfPages":"39","onlineOnly":"Y","ipdsId":"IP-055827","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":291862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141150.jpg"},{"id":291860,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1150/"},{"id":291861,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1150/pdf/ofr2014-1150.pdf"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63,24.52 ], [ -87.63,31.0 ], [ -80.03,31.0 ], [ -80.03,24.52 ], [ -87.63,24.52 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e484b6e4b0fff4042801c7","contributors":{"authors":[{"text":"Terando, Adam","contributorId":28903,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","affiliations":[],"preferred":false,"id":495820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traxler, Steve","contributorId":98231,"corporation":false,"usgs":true,"family":"Traxler","given":"Steve","email":"","affiliations":[],"preferred":false,"id":495822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime","contributorId":85517,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","affiliations":[],"preferred":false,"id":495821,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70117567,"text":"ofr20141156 - 2014 - Karst in the United States: A digital map compilation and database","interactions":[],"lastModifiedDate":"2020-03-27T06:28:59","indexId":"ofr20141156","displayToPublicDate":"2014-08-07T10:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1156","title":"Karst in the United States: A digital map compilation and database","docAbstract":"<p>This report describes new digital maps delineating areas of the United States, including Puerto Rico and the U.S. Virgin Islands, having karst or the potential for development of karst and pseudokarst. These maps show areas underlain by soluble rocks and also by volcanic rocks, sedimentary deposits, and permafrost that have potential for karst or pseudokarst development. All 50 States contain rocks with potential for karst development, and about 18 percent of their area is underlain by soluble rocks having karst or the potential for development of karst features. The areas of soluble rocks shown are based primarily on selection from State geologic maps of rock units containing significant amounts of carbonate or evaporite minerals. Areas underlain by soluble rocks are further classified by general climate setting, degree of induration, and degree of exposure. Areas having potential for volcanic pseudokarst are those underlain chiefly by basaltic-flow rocks no older than Miocene in age. Areas with potential for pseudokarst features in sedimentary rocks are in relatively unconsolidated rocks from which pseudokarst features, such as piping caves, have been reported. Areas having potential for development of thermokarst features, mapped exclusively in Alaska, contain permafrost in relatively thick surficial deposits containing ground ice. This report includes a GIS database with links from the map unit polygons to online geologic unit descriptions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141156","usgsCitation":"Weary, D.J., and Doctor, D.H., 2014, Karst in the United States: A digital map compilation and database: U.S. Geological Survey Open-File Report 2014-1156, Report: iv, 23 p.; 6 Figures; Downloads Directory, https://doi.org/10.3133/ofr20141156.","productDescription":"Report: iv, 23 p.; 6 Figures; Downloads Directory","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-052217","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":291826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141156.jpg"},{"id":373540,"rank":11,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2014/1156/downloads/README.txt","linkFileType":{"id":2,"text":"txt"}},{"id":291823,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1156/"},{"id":291825,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":291824,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1156/downloads","text":"Downloads Directory"},{"id":373534,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_1.pdf","text":"Figure 1","linkFileType":{"id":1,"text":"pdf"}},{"id":373535,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_2.pdf","text":"Figure 2","linkFileType":{"id":1,"text":"pdf"}},{"id":373539,"rank":10,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_6.pdf","text":"Figure 6","linkFileType":{"id":1,"text":"pdf"}},{"id":373536,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_3.pdf","text":"Figure 3","linkFileType":{"id":1,"text":"pdf"}},{"id":373537,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_4.pdf","text":"Figure 4","linkFileType":{"id":1,"text":"pdf"}},{"id":373538,"rank":9,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_5.pdf","text":"Figure 5","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e484b6e4b0fff4042801c5","contributors":{"authors":[{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":496021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":496022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048554,"text":"70048554 - 2014 - Multilocus phylogeography and systematic revision of North American water shrews (genus: <i>Sorex</i>)","interactions":[],"lastModifiedDate":"2018-08-20T18:12:42","indexId":"70048554","displayToPublicDate":"2014-08-01T12:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Multilocus phylogeography and systematic revision of North American water shrews (genus: <i>Sorex</i>)","docAbstract":"North American water shrews, which have traditionally included <i>Sorex alaskanus</i>, <i>S. bendirii</i>, and <i>S. palustris</i>, are widely distributed through Nearctic boreal forests and adapted for life in semiaquatic environments. Molecular mitochondrial signatures for these species have recorded an evolutionary history with variable levels of regional divergence, suggesting a strong role of Quaternary environmental change in speciation processes. We expanded molecular analyses, including more-comprehensive rangewide sampling of specimens representing North American water shrew taxa, except <i>S. alaskanus</i>, and sequencing of 4 independent loci from the nuclear and mitochondrial genomes. We investigated relative divergence of insular populations along the North Pacific Coast, and newly recognized diversity from southwestern montane locations, potentially representing refugial isolates. Congruent independent genealogies, lack of definitive evidence for contemporary gene flow, and high support from coalescent species trees indicated differentiation of 4 major geographic lineages over multiple glacial cycles of the late Quaternary, similar to a growing number of boreal taxa. Limited divergence of insular populations suggested colonization following the last glacial. Characterization of southwestern montane diversity will require further sampling but divergence over multiple loci is indicative of a relictual sky-island fauna. We have reviewed and revised North American water shrew taxonomy including the recognition of 3 species within what was previously known as <i>S. palustris</i>. The possibility of gene flow between most distantly related North American water shrew lineages coupled with unresolved early diversification of this group and other sibling species reflects a complex but potentially productive system for investigating speciation processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Mammalogists","doi":"10.1644/13-MAMM-A-196","usgsCitation":"Hope, A.G., Panter, N., Cook, J.A., Talbot, S.L., and Nagorsen, D.W., 2014, Multilocus phylogeography and systematic revision of North American water shrews (genus: <i>Sorex</i>): Journal of Mammalogy, v. 95, no. 4, p. 722-738, https://doi.org/10.1644/13-MAMM-A-196.","productDescription":"17 p.","startPage":"722","endPage":"738","numberOfPages":"17","ipdsId":"IP-049371","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":294911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294910,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/13-MAMM-A-196"}],"country":"Canada, Mexico, United States","volume":"95","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-08-22","publicationStatus":"PW","scienceBaseUri":"542fbaa3e4b092f17df61d3b","contributors":{"authors":[{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":485067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panter, Nicholas","contributorId":39309,"corporation":false,"usgs":true,"family":"Panter","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":485064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Joseph A.","contributorId":70318,"corporation":false,"usgs":true,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":485063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagorsen, David W.","contributorId":75868,"corporation":false,"usgs":true,"family":"Nagorsen","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":485066,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70118434,"text":"70118434 - 2014 - The Early Jurassic Bokan Mountain peralkaline granitic complex (southeastern Alaska): geochemistry, petrogenesis and rare-metal mineralization","interactions":[],"lastModifiedDate":"2014-07-29T15:21:48","indexId":"70118434","displayToPublicDate":"2014-07-29T15:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2588,"text":"LITHOS","active":true,"publicationSubtype":{"id":10}},"title":"The Early Jurassic Bokan Mountain peralkaline granitic complex (southeastern Alaska): geochemistry, petrogenesis and rare-metal mineralization","docAbstract":"The Early Jurassic (ca. 177 Ma) Bokan Mountain granitic complex, located on southern Prince of Wales Island, southernmost Alaska, cross-cuts Paleozoic igneous and metasedimentary rocks of the Alexander terrane of the North American Cordillera and was emplaced during a rifting event. The complex is a circular body (~3 km in diameter) of peralkaline granitic composition that has a core of arfvedsonite granite surrounded by aegirine granite.  All the rock-forming minerals typically record a two-stage growth history and  aegirine and arfvedsonite were the last major phases to crystalize from the magma. The Bokan granites and related dikes have SiO<sub>2</sub>  from 72 to 78 wt. %,  high iron (FeO <sub>(tot)</sub> ~3-4.5 wt. %) and alkali (8-10 wt.%) concentrations with  high  FeO<sub>(tot)</sub>/(FeO<sub>(tot)</sub>+MgO) ratios (typically >0.95) and the molar Al<sub>2</sub>O<sub>3</sub>/(Na<sub>2</sub>O+K<sub>2</sub>O) ratio <1.  The granitic rocks are characterized by elevated contents of rare earth elements (REE), Th, U and high field strength elements (HFSE) and low contents of Ca, Sr, Ba and Eu, typical of peralkaline granites. The granites have high positive ε<sub>Nd</sub> values which are indicative of a mantle signature. The parent magma is inferred to be derived from an earlier metasomatized lithospheric mantle by low degrees of partial melting and generated the Bokan granitic melt through extensive fractional crystallization. The Bokan complex hosts significant rare-metal (REE, Y, U, Th, Nb) mineralization that is related to the late-stage crystallization history of the complex which involved the overlap of emplacement of felsic dikes, including pegmatite bodies, and generation of orthomagmatic fluids.  The abundances of REE, HFSE, U and Th as well as Pb and Nd isotopic values of the pluton and dikes were modified by orthomagmatic hydrothermal fluids highly enriched in the strongly incompatible trace elements, which also escaped along zones of structural weakness to generate rare-metal mineralization. The latter was deposited in two stages:  the first relates to the latest stage of magma emplacement and is associated with felsic dikes that intruded along the faults and shear deformations, whereas the second stage involved ingress of hydrothermal fluids that both remobilized and enriched the initial magmatic mineralization. Mineralization is mostly composed of  new minerals.  Fluorine complexing played a role during the transportation of REE and HFSE in hydrothermal fluids and oxygen isotopes in the granites and quartz veins negate the significant incursion of an external fluid and support a dominantly orthomagmatic hydrothermal system. Many other REE-HFSE deposits hosted by peralkaline felsic rocks (nepheline syenites, peralkaline granites and peralkaline trachytes) were formed by a similar two stage process.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"LITHOS","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.lithos.2014.06.005","usgsCitation":"Dostal, J., Kontak, D.J., and Karl, S.M., 2014, The Early Jurassic Bokan Mountain peralkaline granitic complex (southeastern Alaska): geochemistry, petrogenesis and rare-metal mineralization: LITHOS, v. 202-203, p. 395-412, https://doi.org/10.1016/j.lithos.2014.06.005.","productDescription":"18 p.","startPage":"395","endPage":"412","numberOfPages":"18","ipdsId":"IP-053049","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":291349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291235,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.lithos.2014.06.005"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince Of Wales Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -132.19984,54.880062 ], [ -132.19984,54.960131 ], [ -132.029971,54.960131 ], [ -132.029971,54.880062 ], [ -132.19984,54.880062 ] ] ] } } ] }","volume":"202-203","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f097e4b0bc0bec09f85b","contributors":{"authors":[{"text":"Dostal, Jaroslav","contributorId":11497,"corporation":false,"usgs":true,"family":"Dostal","given":"Jaroslav","email":"","affiliations":[],"preferred":false,"id":496895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kontak, Daniel J.","contributorId":23051,"corporation":false,"usgs":true,"family":"Kontak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":496896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":496894,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70117436,"text":"fs20143066 - 2014 - The 3D Elevation Program: summary for North Carolina","interactions":[],"lastModifiedDate":"2016-08-17T15:38:02","indexId":"fs20143066","displayToPublicDate":"2014-07-23T13:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3066","title":"The 3D Elevation Program: summary for North Carolina","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, and recreation. For the State of North Carolina, elevation data are critical for flood risk management, natural resources conservation, agriculture and precision farming, infrastructure and construction management, forest resources management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment (NEEA; Dewberry, 2011) evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the use community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143066","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for North Carolina: U.S. Geological Survey Fact Sheet 2014-3066, 2 p., https://doi.org/10.3133/fs20143066.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057847","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":290809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143066.jpg"},{"id":290808,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3066/pdf/fs2014-3066.pdf","text":"Report","size":"401 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":290794,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3066/"}],"country":"United States","state":"North 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":495987,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70111715,"text":"ofr20141115 - 2014 - Timing of ore-related magmatism in the western Alaska Range, southwestern Alaska","interactions":[],"lastModifiedDate":"2014-07-23T12:57:09","indexId":"ofr20141115","displayToPublicDate":"2014-07-23T12:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1115","title":"Timing of ore-related magmatism in the western Alaska Range, southwestern Alaska","docAbstract":"This report presents isotopic age data from mineralized granitic plutons in an area of the Alaska Range located approximately 200 kilometers to the west-northwest of Anchorage in southwestern Alaska. Uranium-lead isotopic data and trace element concentrations of zircons were determined for 12 samples encompassing eight plutonic bodies ranging in age from approximately 76 to 57.4 millions of years ago (Ma). Additionally, a rhenium-osmium age of molybdenite from the Miss Molly molybdenum occurrence is reported (approx. 59 Ma). All of the granitic plutons in this study host gold-, copper-, and (or) molybdenum-rich prospects. These new ages modify previous interpretations regarding the age of magmatic activity and mineralization within the study area. The new ages show that the majority of the gold-quartz vein-hosting plutons examined in this study formed in the Late Cretaceous. Further work is necessary to establish the ages of ore-mineral deposition in these deposits.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141115","usgsCitation":"Taylor, R.D., Graham, G.E., Anderson, E.D., and Selby, D., 2014, Timing of ore-related magmatism in the western Alaska Range, southwestern Alaska: U.S. Geological Survey Open-File Report 2014-1115, Report: iv, 25 p.; Tables 1-4, https://doi.org/10.3133/ofr20141115.","productDescription":"Report: iv, 25 p.; Tables 1-4","numberOfPages":"29","onlineOnly":"Y","ipdsId":"IP-054073","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":290806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141115.jpg"},{"id":290803,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1115/"},{"id":290804,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1115/pdf/ofr2014-1115.pdf"},{"id":290805,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1115/downloads/ofr2014-1115_tables.xlsx"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Range","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -154.0,61.5 ], [ -154.0,62.25 ], [ -152.0,62.25 ], [ -152.0,61.5 ], [ -154.0,61.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a8e4b0bc0bec09f8dd","contributors":{"authors":[{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":494450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":494448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":1733,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":494449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":494451,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70117080,"text":"70117080 - 2014 - A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts","interactions":[],"lastModifiedDate":"2017-10-24T15:16:15","indexId":"70117080","displayToPublicDate":"2014-07-18T11:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts","docAbstract":"<p>Imperfect detection during animal surveys biases estimates of abundance and can lead to improper conclusions regarding distribution and population trends. Farnsworth et al. (2005) developed a combined distance-sampling and time-removal model for point-transect surveys that addresses both availability (the probability that an animal is available for detection; e.g., that a bird sings) and perceptibility (the probability that an observer detects an animal, given that it is available for detection). We developed a hierarchical extension of the combined model that provides an integrated analysis framework for a collection of survey points at which both distance from the observer and time of initial detection are recorded. Implemented in a Bayesian framework, this extension facilitates evaluating covariates on abundance and detection probability, incorporating excess zero counts (i.e. zero-inflation), accounting for spatial autocorrelation, and estimating population density. Species-specific characteristics, such as behavioral displays and territorial dispersion, may lead to different patterns of availability and perceptibility, which may, in turn, influence the performance of such hierarchical models. Therefore, we first test our proposed model using simulated data under different scenarios of availability and perceptibility. We then illustrate its performance with empirical point-transect data for a songbird that consistently produces loud, frequent, primarily auditory signals, the Golden-crowned Sparrow (<i>Zonotrichia atricapilla</i>); and for 2 ptarmigan species (<i>Lagopus</i> spp.) that produce more intermittent, subtle, and primarily visual cues. Data were collected by multiple observers along point transects across a broad landscape in southwest Alaska, so we evaluated point-level covariates on perceptibility (observer and habitat), availability (date within season and time of day), and abundance (habitat, elevation, and slope), and included a nested point-within-transect and park-level effect. Our results suggest that this model can provide insight into the detection process during avian surveys and reduce bias in estimates of relative abundance but is best applied to surveys of species with greater availability (e.g., breeding songbirds).</p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-14-11.1","usgsCitation":"Amundson, C.L., Royle, J., and Handel, C.M., 2014, A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts: The Auk, v. 131, no. 4, p. 476-494, https://doi.org/10.1642/AUK-14-11.1.","productDescription":"19 p.","startPage":"476","endPage":"494","ipdsId":"IP-051985","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472869,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1642/AUK-14-11.1","text":"External Repository"},{"id":290450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd49eee4b0b290850ef786","contributors":{"authors":[{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":495921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":495922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":495920,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70116614,"text":"ofr20141147 - 2014 - Publications of the Volcano Hazards Program 2012","interactions":[],"lastModifiedDate":"2019-03-13T08:38:14","indexId":"ofr20141147","displayToPublicDate":"2014-07-17T16:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1147","title":"Publications of the Volcano Hazards Program 2012","docAbstract":"<p>The Volcano Hazards Program of the U.S. Geological Survey (USGS) is part of the Geologic Hazards Assessments subactivity, as funded by Congressional appropriation. Investigations are carried out by the USGS and with cooperators at the Alaska Division of Geological and Geophysical Surveys, University of Alaska Fairbanks Geophysical Institute, University of Hawaii Manoa and Hilo, University of Utah, and University of Washington Geophysics Program. This report lists publications from all of these institutions.</p>\n<br/>\n<p>Only published papers and maps are included here; abstracts presented at scientific meetings are omitted. Publication dates are based on year of issue, with no attempt to assign them to a fiscal year.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141147","usgsCitation":"Nathenson, M., 2014, Publications of the Volcano Hazards Program 2012: U.S. Geological Survey Open-File Report 2014-1147, ii, 10 p., https://doi.org/10.3133/ofr20141147.","productDescription":"ii, 10 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-056327","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":290402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141147.PNG"},{"id":290401,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1147/pdf/ofr2014-1147.pdf"},{"id":290400,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1147/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6e85e4b0b29085105d5a","contributors":{"authors":[{"text":"Nathenson, Manuel 0000-0002-5216-984X mnathnsn@usgs.gov","orcid":"https://orcid.org/0000-0002-5216-984X","contributorId":1358,"corporation":false,"usgs":true,"family":"Nathenson","given":"Manuel","email":"mnathnsn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":495817,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70116938,"text":"70116938 - 2014 - Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska","interactions":[],"lastModifiedDate":"2018-09-18T16:17:48","indexId":"70116938","displayToPublicDate":"2014-07-17T15:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska","docAbstract":"We assessed temporal variation in mercury (Hg) concentrations of threespine stickleback (<i>Gasterosteus aculeatus</i>) from Agattu Island, Aleutian Archipelago, Alaska. Total Hg concentrations in whole-bodied stickleback were measured at two-week intervals from two sites in each of two lakes from June 1 to August 10, 2011 during the time period when lakes were ice-free. Across all sites and sampling events, stickleback Hg concentrations ranged from 0.37–1.07 µg/g dry weight (dw), with a mean (± SE) of 0.55±0.01 µg/g dw. Mean fish Hg concentrations declined by 9% during the study period, from 0.57±0.01 µg/g dw in early June to 0.52±0.01 µg/g dw in mid-August. Mean fish Hg concentrations were 6% higher in Loon Lake (0.56±0.01 µg/g dw) than in Lake 696 (0.53±0.01 µg/g dw), and 4% higher in males (0.56±0.01 µg/g dw) than in females (0.54±0.01 µg/g dw). Loon Lake was distinguished from Lake 696 by the presence of piscivorous waterbirds during the breeding season. Mercury concentrations in stickleback from Agattu Island were higher than would be expected for an area without known point sources of Hg pollution, and high enough to be of concern to the health of piscivorous wildlife.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0102244","usgsCitation":"Kenney, L., Eagles-Smith, C.A., Ackerman, J., and von Hippel, F., 2014, Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska: PLoS ONE, v. 9, no. 7, 7 p., https://doi.org/10.1371/journal.pone.0102244.","productDescription":"7 p.","numberOfPages":"7","ipdsId":"IP-051925","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0102244","text":"Publisher Index Page"},{"id":290396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290381,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0102244"}],"country":"United States","state":"Alaska","otherGeospatial":"Agattu Island;Aleutian Archipelago","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.353562,52.352271 ], [ 173.353562,52.513793 ], [ 173.776505,52.513793 ], [ 173.776505,52.352271 ], [ 173.353562,52.352271 ] ] ] } } ] }","volume":"9","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-16","publicationStatus":"PW","scienceBaseUri":"53cd768ce4b0b2908510af63","contributors":{"authors":[{"text":"Kenney, Leah A.","contributorId":67011,"corporation":false,"usgs":true,"family":"Kenney","given":"Leah A.","affiliations":[],"preferred":false,"id":495899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":495898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Hippel, Frank A.","contributorId":96599,"corporation":false,"usgs":true,"family":"von Hippel","given":"Frank A.","affiliations":[],"preferred":false,"id":495900,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188040,"text":"70188040 - 2014 - Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR","interactions":[],"lastModifiedDate":"2017-05-31T16:11:15","indexId":"70188040","displayToPublicDate":"2014-07-17T00:00:00","publicationYear":"2014","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":"Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR","docAbstract":"<p><span>Vegetation structure, including forest canopy height, is an important input variable to fire behavior modeling systems for simulating wildfire behavior. As such, forest canopy height is one of a nationwide suite of products generated by the LANDFIRE program. In the past, LANDFIRE has relied on a combination of field observations and Landsat imagery to develop existing vegetation structure products. The paucity of field data in the remote Alaskan forests has led to a very simple forest canopy height classification for the original LANDFIRE forest height map. To better meet the needs of data users and refine the map legend, LANDFIRE incorporated ICESat Geoscience Laser Altimeter System (GLAS) data into the updating process when developing the LANDFIRE 2010 product. The high latitude of this region enabled dense coverage of discrete GLAS samples, from which forest height was calculated. Different methods for deriving height from the GLAS waveform data were applied, including an attempt to correct for slope. These methods were then evaluated and integrated into the final map according to predefined criteria. The resulting map of forest canopy height includes more height classes than the original map, thereby better depicting the heterogeneity of the landscape, and provides seamless data for fire behavior analysts and other users of LANDFIRE data.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs61212409","usgsCitation":"Peterson, B., and Nelson, K., 2014, Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR: Remote Sensing, v. 6, no. 125, p. 12409-12426, https://doi.org/10.3390/rs61212409.","productDescription":"18 p.","startPage":"12409","endPage":"12426","ipdsId":"IP-057857","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs61212409","text":"Publisher Index 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