Within Glacier Bay National Park in southeastern Alaska, the Fairweather Fault represents the onshore boundary between two of Earth’s constantly moving tectonic plates: the North American Plate and the Yakutat microplate. Satellite measurements indicate that during the past few decades the Yakutat microplate has moved northwest at a rate of nearly 5 centimeters per year relative to the North American Plate. Motion between the tectonic plates results in earthquakes on the Fairweather Fault during time intervals spanning one or more centuries. For example, in 1958, a 260-kilometer section of the Fairweather Fault ruptured during a magnitude 7.8 earthquake, causing permanent horizontal (as much as 6.5 meters) and vertical (as much as 1 meter) displacement of the ground surface across the fault. Thousands to millions of years of tectonic plate motion, including earthquakes like the one in 1958, raised and shifted the ground surface across the Fairweather Fault, while rivers, glaciers, and ocean waves eroded and sculpted the surrounding landscape along the Gulf of Alaska coast in Glacier Bay National Park.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip177","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory and the National Center for Airborne Laser Mapping","usgsCitation":"Witter, R.C., LeWinter, A., Bender, A., Glennie, C., and Finnegan, D., 2017, Sculpted by water, elevated by earthquakes—The coastal landscape of Glacier Bay National Park, Alaska: U.S. Geological Survey General Information Product 177, https://doi.org/10.3133/gip177.","productDescription":"Poster: 50.04 x 40.68 inches","onlineOnly":"Y","ipdsId":"IP-082030","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":438337,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7W094D4","text":"USGS data release","linkHelpText":"Digital Elevation Models of Glacier Bay National Park, Between Lituya Bay and Icy Point, Alaska, Derived from Airborne Lidar Data Acquired in September 2015"},{"id":341543,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/177/coverthb.jpg"},{"id":341544,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/177/gip177.pdf","text":"Report","size":"16.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 177"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacial Bay National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -137.97454833984375,\n 58.21413156442685\n ],\n [\n -135.966796875,\n 58.21413156442685\n ],\n [\n -135.966796875,\n 58.9202457956557\n ],\n [\n -137.97454833984375,\n 58.9202457956557\n ],\n [\n -137.97454833984375,\n 58.21413156442685\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Alaska Science Center
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U.S. Geological Survey
4210 University Dr.
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Diverse bacteria inhabit amphibian skin; some of those bacteria inhibit growth of the fungal pathogen Batrachochytrium dendrobatidis. Yet there has been no systematic survey of anti-B. dendrobatidis bacteria across localities, species, and elevations. This is important given geographic and taxonomic variations in amphibian susceptibility to B. dendrobatidis. Our collection sites were at locations within the Appalachian Mountains where previous sampling had indicated low B. dendrobatidis prevalence. We determined the numbers and identities of anti-B. dendrobatidis bacteria on 61 Plethodon salamanders (37 P. cinereus, 15 P. glutinosus, 9 P. cylindraceus) via culturing methods and 16S rRNA gene sequencing. We sampled co-occurring species at three localities and sampled P. cinereus along an elevational gradient (700 to 1,000 meters above sea level [masl]) at one locality. We identified 50 anti-B. dendrobatidis bacterial operational taxonomic units (OTUs) and found that the degree of B. dendrobatidis inhibition was not correlated with relatedness. Five anti-B. dendrobatidis bacterial strains occurred on multiple amphibian species at multiple localities, but none were shared among all species and localities. The prevalence of anti-B. dendrobatidis bacteria was higher at Shenandoah National Park (NP), VA, with 96% (25/26) of salamanders hosting at least one anti-B. dendrobatidis bacterial species compared to 50% (7/14) at Catoctin Mountain Park (MP), MD, and 38% (8/21) at Mt. Rogers National Recreation Area (NRA), VA. At the individual level, salamanders at Shenandoah NP had more anti-B. dendrobatidis bacteria per individual (μ = 3.3) than those at Catoctin MP (μ = 0.8) and at Mt. Rogers NRA (μ = 0.4). All salamanders tested negative for B. dendrobatidis. Anti-B. dendrobatidis bacterial species are diverse in central Appalachian Plethodon salamanders, and their distribution varied geographically. The antifungal bacterial species that we identified may play a protective role for these salamanders.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.00186-17","usgsCitation":"Muletz-Wolz, C., DiRenzo, G.V., Yarwood, S.A., Campbell Grant, E.H., Fleischer, R.C., and Lips, K.R., 2017, Antifungal bacteria on woodland salamander skin exhibit high taxonomic diversity and geographic variability: Applied and Environmental Microbiology, v. 83, no. 9, e00186-17; 13 p., https://doi.org/10.1128/AEM.00186-17.","productDescription":"e00186-17; 13 p.","ipdsId":"IP-075228","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":461567,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.00186-17","text":"Publisher Index Page"},{"id":341532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5923f8e0e4b0b7ff9fb2341e","contributors":{"authors":[{"text":"Muletz-Wolz, Carly R.","contributorId":192176,"corporation":false,"usgs":false,"family":"Muletz-Wolz","given":"Carly R.","affiliations":[],"preferred":false,"id":695710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella V.","contributorId":192177,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":695711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yarwood, Stephanie A.","contributorId":192178,"corporation":false,"usgs":false,"family":"Yarwood","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":695712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":695713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fleischer, Robert C.","contributorId":105421,"corporation":false,"usgs":true,"family":"Fleischer","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":695714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lips, Karen R.","contributorId":26258,"corporation":false,"usgs":true,"family":"Lips","given":"Karen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":695715,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196785,"text":"70196785 - 2017 - The role of density-dependent and –independent processes in spawning habitat selection by salmon in an Arctic riverscape","interactions":[],"lastModifiedDate":"2018-05-01T13:57:59","indexId":"70196785","displayToPublicDate":"2017-05-22T00:00:00","publicationYear":"2017","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":"The role of density-dependent and –independent processes in spawning habitat selection by salmon in an Arctic riverscape","docAbstract":"Density-dependent (DD) and density-independent (DI) habitat selection is strongly linked to a species’ evolutionary history. Determining the relative importance of each is necessary because declining populations are not always the result of altered DI mechanisms but can often be the result of DD via a reduced carrying capacity. We developed spatially and temporally explicit models throughout the Chena River, Alaska to predict important DI mechanisms that influence Chinook salmon spawning success. We used resource-selection functions to predict suitable spawning habitat based on geomorphic characteristics, a semi-distributed water-and-energy balance hydrologic model to generate stream flow metrics, and modeled stream temperature as a function of climatic variables. Spawner counts were predicted throughout the core and periphery spawning sections of the Chena River from escapement estimates (DD) and DI variables. Additionally, we used isodar analysis to identify whether spawners actively defend spawning habitat or follow an ideal free distribution along the riverscape. Aerial counts were best explained by escapement and reference to the core or periphery, while no models with DI variables were supported in the candidate set. Furthermore, isodar plots indicated habitat selection was best explained by ideal free distributions, although there was strong evidence for active defense of core spawning habitat. Our results are surprising, given salmon commonly defend spawning resources, and are likely due to competition occurring at finer spatial scales than addressed in this study.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0177467","usgsCitation":"Huntsman, B.M., Falke, J.A., Savereide, J.W., and Bennett, K.E., 2017, The role of density-dependent and –independent processes in spawning habitat selection by salmon in an Arctic riverscape: PLoS ONE, v. 12, no. 5, p. 1-21, https://doi.org/10.1371/journal.pone.0177467.","productDescription":"e0177467; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-077611","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":461565,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0177467","text":"Publisher Index Page"},{"id":353885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River Basin","volume":"12","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-22","publicationStatus":"PW","scienceBaseUri":"5afee879e4b0da30c1bfc457","contributors":{"authors":[{"text":"Huntsman, Brock M. 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":166748,"corporation":false,"usgs":false,"family":"Huntsman","given":"Brock","email":"","middleInitial":"M.","affiliations":[{"id":24497,"text":"West Virginia University, Morgantown, WV","active":true,"usgs":false}],"preferred":false,"id":734441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savereide, James W.","contributorId":204591,"corporation":false,"usgs":false,"family":"Savereide","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":734442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Katrina E.","contributorId":204592,"corporation":false,"usgs":false,"family":"Bennett","given":"Katrina","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":734443,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207064,"text":"70207064 - 2017 - Editorial","interactions":[],"lastModifiedDate":"2021-06-04T15:36:35.54343","indexId":"70207064","displayToPublicDate":"2017-05-20T16:12:48","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Editorial","docAbstract":"No abstract available.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-017-9483-0","usgsCitation":"Lynch, A., Asch, R.G., Cheung, W.W., Paukert, C.P., Rykaczewski, R.R., and Sauer, W.H., 2017, Editorial: Reviews in Fish Biology and Fisheries, v. 27, no. 2, p. 293-296, https://doi.org/10.1007/s11160-017-9483-0.","productDescription":"4 p.","startPage":"293","endPage":"296","ipdsId":"IP-085562","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":461577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11160-017-9483-0","text":"Publisher Index Page"},{"id":369928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2017-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":776706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asch, R. G.","contributorId":65289,"corporation":false,"usgs":false,"family":"Asch","given":"R.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":776707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheung, William W. L.","contributorId":221038,"corporation":false,"usgs":false,"family":"Cheung","given":"William","email":"","middleInitial":"W. L.","affiliations":[],"preferred":false,"id":776708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":776709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rykaczewski, Ryan R.","contributorId":203863,"corporation":false,"usgs":false,"family":"Rykaczewski","given":"Ryan","email":"","middleInitial":"R.","affiliations":[{"id":36734,"text":"Department of Biological Sciences and Marine Science Program, University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":776710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sauer, Warwick H. H.","contributorId":221039,"corporation":false,"usgs":false,"family":"Sauer","given":"Warwick","email":"","middleInitial":"H. H.","affiliations":[],"preferred":false,"id":776711,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188477,"text":"70188477 - 2017 - Exploring the use of environmental DNA to determine the species of salmon redds","interactions":[],"lastModifiedDate":"2017-11-22T16:56:22","indexId":"70188477","displayToPublicDate":"2017-05-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the use of environmental DNA to determine the species of salmon redds","docAbstract":"Annual redd counts are used to monitor the status and trends of salmonid populations, but methods to easily and reliably determine which of sympatric species made specific redds are lacking. We explored whether environmental DNA (eDNA) analysis might prove useful for determining the species of salmon redds. We collected eDNA samples from the interstitial spaces of redds of Chinook Salmon Oncorhynchus tshawytscha, redds of Coho Salmon O. kisutch, and areas of undisturbed gravel (n = 10, each), as well as from the water column adjacent to each of those sites in the Sandy River basin, Oregon, USA during the fall of 2013. The concentrations of Chinook and Coho eDNA were quantified within each sample using real-time PCR. The water in the interstitial spaces of redds contained significantly higher eDNA concentrations of the species that made the redd than (1) the other species and (2) the adjacent water column. In contrast, neither Chinook nor Coho eDNA was significantly more concentrated than the other in the water from the interstitial spaces of undisturbed gravel. The interstitial water of undisturbed gravel contained significantly higher eDNA concentrations of Coho than the adjacent water column. In contrast, Chinook eDNA concentration was similar in the interstitial water of undisturbed gravel and the adjacent water column. Both species’ redds had significantly higher concentrations of their respective species’ eDNA than did undisturbed gravel, but conclusions were confounded by differences in the timing and locations of sampling. This initial investigation highlights the potential value and some of the complexity of using eDNA analysis to indicate redd species.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2017.1335254","collaboration":"Matthew B. 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U.S. Geological Survey
12201 Sunrise Valley Drive, MS 516
Reston, VA 20192
In Dixie Valley, Nevada, an isolated population of toads has been the subject of proactive conservation measures by the Nevada Department of Wildlife and the U.S. Fish and Wildlife Service since 2008 due to concerns about potential habitat degradation resulting from exploitation of nearby geothermal energy resources. These toads appear to belong within the Anaxyrus boreas species group but are commonly referred to as Dixie Valley toads (DVTs). The DVT is currently confined to an extremely narrow habitat range (370 ha) that is geographically isolated from any other A. boreas population. In this study, genetic variations in mitochondrial genes and 11 microsatellite loci were used to assess the affinities of DVTs in relation to members of the A. boreas species group. We compared results from DVTs with previously published data spanning much of the range of A. boreas in the United States and new data from a nearby toad population within Dixie Valley. Data from both mitochondrial DNA and microsatellites placed DVTs inside the A. boreas species group. In particular, DVTs fell into a cluster of A. boreas from Washington and California, along with other species from the A. boreas species group, namely A. nelsoni, A. canorus, and A. exsul. Genetic differentiation of DVTs was lowest between A. boreas populations in Washington and California. However, allele frequencies were significantly different between DVTs and all other populations, including a nearby locality within Dixie Valley. This genetic differentiation, along with the DVT's geographical isolation and restricted habitat, warrants recognition of the DVT as a distinct management unit.
","language":"English","publisher":"BioOne","doi":"10.3398/064.077.0204","usgsCitation":"Forrest, M.J., Stiller, J., King, T.L., and Rouse, G., 2017, Between hot rocks and dry places: The status of the Dixie Valley toad: Western North American Naturalist, v. 77, no. 2, p. 162-175, https://doi.org/10.3398/064.077.0204.","productDescription":"14 p.","startPage":"162","endPage":"175","ipdsId":"IP-082373","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":488138,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss2/3","text":"External Repository"},{"id":376951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Dixie Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.19366455078125,\n 39.42346418978382\n ],\n [\n -117.94097900390625,\n 39.57605638518604\n ],\n [\n -117.55920410156249,\n 40.13269100586688\n ],\n [\n -117.58392333984375,\n 40.373751366720505\n ],\n [\n -117.6910400390625,\n 40.386304853509046\n ],\n [\n -117.79541015625001,\n 40.25437660372649\n ],\n [\n -117.88330078125,\n 40.000267972646796\n ],\n [\n -118.20465087890625,\n 39.75576851405812\n ],\n [\n -118.25408935546875,\n 39.55700068337126\n ],\n [\n -118.30352783203125,\n 39.49556336059472\n ],\n [\n -118.21563720703124,\n 39.42134249546523\n ],\n [\n -118.19366455078125,\n 39.42346418978382\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Forrest, Matthew J.","contributorId":8383,"corporation":false,"usgs":true,"family":"Forrest","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":794646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stiller, Josefin","contributorId":236901,"corporation":false,"usgs":false,"family":"Stiller","given":"Josefin","email":"","affiliations":[{"id":47561,"text":"Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA.","active":true,"usgs":false}],"preferred":false,"id":794647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rouse, Greg","contributorId":169158,"corporation":false,"usgs":false,"family":"Rouse","given":"Greg","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":794648,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187478,"text":"ofr20171053 - 2017 - Community for Data Integration 2016 annual report","interactions":[],"lastModifiedDate":"2022-04-22T15:55:18.055181","indexId":"ofr20171053","displayToPublicDate":"2017-05-19T00:13:00","publicationYear":"2017","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":"2017-1053","title":"Community for Data Integration 2016 annual report","docAbstract":"The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other CDI-sponsored events in fiscal year 2016. The report also describes the objectives and accomplishments of the 13 CDI-funded projects in fiscal year 2016.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171053","usgsCitation":"Langseth, M.L., Hsu, Leslie, Amberg, Jon, Bliss, Norman, Bock, A.R., Bolus, R.T., Bristol, R.S., Chase, K.J., Crimmins, T.M., Earle, P.S., Erickson, Richard, Everette, A.L., Falgout, Jeff, Faundeen, J.L., Fienen, Michael, Griffin, Rusty, Guy, M.R., Henry, K.D., Hoebelheinrich, N.J., Hunt, Randall, Hutchison, V.B., Ignizio, D.A., Infante, D.M., Jarnevich, Catherine, Jones, J.M., Kern, Tim, Leibowitz, Scott, Lightsom, F.L., Marsh, R.L., McCalla, S.G., McNiff, Marcia, Morisette, J.T., Nelson, J.C., Norkin, Tamar, Preston, T.M., Rosemartin, Alyssa, Sando, Roy, Sherba, J.T., Signell, R.P., Sleeter, B.M., Sundquist, E.T., Talbert, C.B., Viger, R.J., Weltzin, J.F., Waltman, Sharon, Weber, Marc, Wieferich, D.J., Williams, Brad, Windham-Myers, Lisamarie, 2017, Community for Data Integration 2016 annual report: U.S. Geological Survey Open-File Report 2017–1053, 40 p., https://doi.org/10.3133/ofr20171053.","productDescription":"viii, 40 p.","onlineOnly":"Y","ipdsId":"IP-084040","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":341421,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1053/ofr20171053.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1053"},{"id":341420,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1053/coverthb.jpg"}],"contact":" Core Science Analytics and Synthesis
U.S. Geological Survey
108 National Center
12201 Sunrise Valley Drive,
Reston, VA 20192
The aquatic food web of the Great Lakes has been contaminated with polychlorinated biphenyls (PCBs) since the mid-20th century. Threats of PCB exposures to long-lived species of fish, such as lake sturgeon (Acipenser fulvescens), have been uncertain because of a lack of information on the relative sensitivity of the species. The objective of the present study was to evaluate the sensitivity of early–life stage lake sturgeon to 3,3′,4,4′,5-pentachlorobiphenyl (PCB-126) or 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) exposure. Mortality, growth, morphological and tissue pathologies, swimming performance, and activity levels were used as assessment endpoints. Pericardial and yolk sac edema, tubular heart, yolk sac hemorrhaging, and small size were the most commonly observed pathologies in both TCDD and PCB-126 exposures, beginning as early as 4 d postfertilization, with many of these pathologies occurring in a dose-dependent manner. Median lethal doses for PCB-126 and TCDD in lake sturgeon were 5.4 ng/g egg (95% confidence interval, 3.9–7.4 ng/g egg) and 0.61 ng/g egg (0.47–0.82 ng/g egg), respectively. The resulting relative potency factor for PCB-126 (0.11) was greater than the World Health Organization estimate for fish (toxic equivalency factor = 0.005), suggesting that current risk assessments may underestimate PCB toxicity toward lake sturgeon. Swimming activity and endurance were reduced in lake sturgeon survivors from the median lethal doses at 60 d postfertilization. Threshold and median toxicity values indicate that lake sturgeon, like other Acipenser species, are more sensitive to PCB and TCDD than the other genus of sturgeon, Scaphirhynchus, found in North America. Indeed, lake sturgeon populations in the Great Lakes and elsewhere are susceptible to PCB/TCDD-induced developmental toxicity in embryos and reductions in swimming performance.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3614","usgsCitation":"Tillitt, D.E., Buckler, J.A., Nicks, D., Candrl, J., Claunch, R., Gale, R.W., Puglis, H.J., Little, E.E., Linbo, T.L., and Baker, M., 2017, Sensitivity of lake sturgeon (Acipenser fulvescens) early life stages to 2,3,7,8-tetrachlorodibenzo-P-dioxin and 3,3′,4,4′,5-pentachlorobiphenyl: Environmental Toxicology and Chemistry, v. 36, no. 4, p. 988-998, https://doi.org/10.1002/etc.3614.","productDescription":"11 p.","startPage":"988","endPage":"998","ipdsId":"IP-075023","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":461581,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/50789","text":"External Repository"},{"id":341522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-07","publicationStatus":"PW","scienceBaseUri":"59200447e4b0ac16dbdeb772","contributors":{"authors":[{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":695672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buckler, Justin A.","contributorId":192164,"corporation":false,"usgs":false,"family":"Buckler","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":695673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicks, Diane 0000-0001-8080-2449 dnicks@usgs.gov","orcid":"https://orcid.org/0000-0001-8080-2449","contributorId":4299,"corporation":false,"usgs":true,"family":"Nicks","given":"Diane","email":"dnicks@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":695674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Candrl, James 0000-0002-1464-2931 jcandrl@usgs.gov","orcid":"https://orcid.org/0000-0002-1464-2931","contributorId":192165,"corporation":false,"usgs":true,"family":"Candrl","given":"James","email":"jcandrl@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":695675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Claunch, Rachel 0000-0003-1762-2175 rclaunch@usgs.gov","orcid":"https://orcid.org/0000-0003-1762-2175","contributorId":182424,"corporation":false,"usgs":true,"family":"Claunch","given":"Rachel","email":"rclaunch@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":695676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gale, Robert W. 0000-0002-8533-141X rgale@usgs.gov","orcid":"https://orcid.org/0000-0002-8533-141X","contributorId":2808,"corporation":false,"usgs":true,"family":"Gale","given":"Robert","email":"rgale@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":695677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":695678,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Little, Edward E. 0000-0003-0034-3639 elittle@usgs.gov","orcid":"https://orcid.org/0000-0003-0034-3639","contributorId":1746,"corporation":false,"usgs":true,"family":"Little","given":"Edward","email":"elittle@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":695679,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Linbo, Tiffany L.","contributorId":192166,"corporation":false,"usgs":false,"family":"Linbo","given":"Tiffany","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":695680,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Baker, Mary","contributorId":192167,"corporation":false,"usgs":false,"family":"Baker","given":"Mary","email":"","affiliations":[],"preferred":false,"id":695681,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70187784,"text":"70187784 - 2017 - Persistence of historical population structure in an endangered species despite near-complete biome conversion in California's San Joaquin Desert","interactions":[],"lastModifiedDate":"2017-07-10T14:51:22","indexId":"70187784","displayToPublicDate":"2017-05-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Persistence of historical population structure in an endangered species despite near-complete biome conversion in California's San Joaquin Desert","docAbstract":"Genomic responses to habitat conversion can be rapid, providing wildlife managers with time-limited opportunities to enact recovery efforts that use population connectivity information that reflects predisturbance landscapes. Despite near-complete biome conversion, such opportunities may still exist for the endemic fauna and flora of California's San Joaquin Desert, but comprehensive genetic data sets are lacking for nearly all species in the region. To fill this knowledge gap, we studied the rangewide population structure of the endangered blunt-nosed leopard lizard Gambelia sila, a San Joaquin Desert endemic, using restriction site-associated DNA (RAD), microsatellite and mtDNA data to test whether admixture patterns and estimates of effective migration surfaces (EEMS) can identify land areas with high population connectivity prior to the conversion of native xeric habitats. Clustering and phylogenetic analyses indicate a recent shared history between numerous isolated populations and EEMS reveals latent signals of corridors and barriers to gene flow over areas now replaced by agriculture and urbanization. Conflicting histories between the mtDNA and nuclear genomes are consistent with hybridization with the sister species G. wislizenii, raising important questions about where legal protection should end at the southern range limit of G. sila. Comparative analysis of different data sets also adds to a growing list of advantages in using RAD loci for genetic studies of rare species. We demonstrate how the results of this work can serve as an evolutionary guidance tool for managing endemic, arid-adapted taxa in one of the world's most compromised landscapes.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.14125","usgsCitation":"Richmond, J.Q., Wood, D.A., Westphal, M.F., Vandergast, A.G., Leache, A.D., Saslaw, L., Butterfield, H.S., and Fisher, R.N., 2017, Persistence of historical population structure in an endangered species despite near-complete biome conversion in California's San Joaquin Desert: Molecular Ecology, v. 26, no. 14, p. 3618-3635, https://doi.org/10.1111/mec.14125.","productDescription":"18 p.","startPage":"3618","endPage":"3635","ipdsId":"IP-076736","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":461579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.14125","text":"Publisher Index Page"},{"id":341498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.1517333984375,\n 34.619647359797185\n ],\n [\n -117.82287597656249,\n 34.619647359797185\n ],\n [\n -117.82287597656249,\n 37.01571219880126\n ],\n [\n -121.1517333984375,\n 37.01571219880126\n ],\n [\n -121.1517333984375,\n 34.619647359797185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"14","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-02","publicationStatus":"PW","scienceBaseUri":"5920044ae4b0ac16dbdeb784","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":695609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":695610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westphal, Michael F.","contributorId":192139,"corporation":false,"usgs":false,"family":"Westphal","given":"Michael","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":695611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":695612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leache, Adam D.","contributorId":192142,"corporation":false,"usgs":false,"family":"Leache","given":"Adam","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":695615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saslaw, Lawrence","contributorId":192140,"corporation":false,"usgs":false,"family":"Saslaw","given":"Lawrence","email":"","affiliations":[],"preferred":false,"id":695613,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Butterfield, H. Scott","contributorId":192141,"corporation":false,"usgs":false,"family":"Butterfield","given":"H.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":695614,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":695608,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70187791,"text":"70187791 - 2017 - Estimated seepage rates from selected ditches, ponds, and lakes at the Camas National Wildlife Refuge, eastern Idaho","interactions":[],"lastModifiedDate":"2017-09-05T12:52:23","indexId":"70187791","displayToPublicDate":"2017-05-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimated seepage rates from selected ditches, ponds, and lakes at the Camas National Wildlife Refuge, eastern Idaho","docAbstract":"The Camas National Wildlife Refuge (Refuge) in eastern Idaho, established in 1937, contains wetlands, ponds, and wet meadows that are essential resting and feeding habitat for migratory birds and nesting habitat for waterfowl. Initially, natural sources of water supported these habitats. However, during the past few decades, changes in climate and surrounding land use have altered and reduced natural groundwater and surface-water inflows, resulting in a 5-meter decline in the water table and an earlier, and more frequent, occurrence of no flow in Camas Creek at the Refuge. Due to these changes in water availability, water management that includes extensive groundwater pumping is now necessary to maintain the wetlands, ponds, and wet meadows.
These water management activities have proven to be inefficient and expensive, and the Refuge is seeking alternative water-management options that are more efficient and less expensive. More efficient water management at the Refuge may be possible through knowledge of the seepage rates from ditches, ponds, and lakes at the Refuge. With this knowledge, water-management efficiency may be improved by natural means through selective use of water bodies with the smallest seepage rates or through engineering efforts to minimize seepage losses from water bodies with the largest seepage rates.
The U.S. Geological Survey performed field studies in 2015 and 2016 to estimate seepage rates for selected ditches, ponds, and lakes at the Refuge. Estimated seepage rates from ponds and lakes ranged over an order of magnitude, from 3.4 ± 0.2 to 103.0 ± 0.5 mm/d, with larger seepage rates calculated for Big Pond and Redhead Pond, intermediate seepage rates calculated for Two-way Pond, and smaller seepages rates calculated for the south arm of Sandhole Lake. Estimated seepage losses from two reaches of Main Diversion Ditch were 21 ± 2 and 17 ± 2 percent/km. These losses represent seepage rates of about 890 and 860 mm/d, which are one- to two-orders-of-magnitude larger than seepage rates from the ponds and lake.
The depth-integrated vertical hydraulic conductivity (Kv) for sediment underlying the ponds and lake was the primary control of seepage rates. The Kv's were 30 and 34 m/d for Big Pond, 14 and 18 m/d for Toomey Pond, 8 and 10 m/d for Two-way Pond, and 47 m/d for the north arm of Sandhole Lake.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2017.02.063","usgsCitation":"Rattray, G.W., 2017, Estimated seepage rates from selected ditches, ponds, and lakes at the Camas National Wildlife Refuge, eastern Idaho: Journal of Environmental Management, v. 203, no. 1, p. 578-591, https://doi.org/10.1016/j.jenvman.2017.02.063.","productDescription":"14 p.","startPage":"578","endPage":"591","ipdsId":"IP-083400","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":341508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Camas National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.24765777587889,\n 43.989603470452224\n ],\n [\n -112.2531509399414,\n 43.989603470452224\n ],\n [\n -112.25349426269531,\n 43.98589821991874\n ],\n [\n -112.2637939453125,\n 43.985774707584255\n ],\n [\n -112.26362228393555,\n 43.98206921804778\n ],\n [\n -112.25349426269531,\n 43.98219273809204\n ],\n [\n -112.2531509399414,\n 43.97873407971019\n ],\n [\n -112.25812911987305,\n 43.97836349721919\n ],\n [\n -112.25812911987305,\n 43.971074904863265\n ],\n [\n -112.26430892944336,\n 43.9711984477796\n ],\n [\n -112.2670555114746,\n 43.968356895686235\n ],\n [\n -112.2670555114746,\n 43.96551520764685\n ],\n [\n -112.26808547973633,\n 43.96514454266273\n ],\n [\n -112.27117538452148,\n 43.965268097914425\n ],\n [\n -112.27254867553711,\n 43.96625653067646\n ],\n [\n -112.27666854858398,\n 43.96613297748065\n ],\n [\n -112.27855682373045,\n 43.96477387536573\n ],\n [\n -112.29263305664062,\n 43.96514454266273\n ],\n [\n -112.29246139526367,\n 43.9576071863508\n ],\n [\n -112.30327606201172,\n 43.95773075727856\n ],\n [\n -112.30293273925781,\n 43.94302401260679\n ],\n [\n -112.29297637939453,\n 43.94277680933283\n ],\n [\n -112.29297637939453,\n 43.92843726069337\n ],\n [\n -112.3080825805664,\n 43.92843726069337\n ],\n [\n -112.3077392578125,\n 43.92497547227071\n ],\n [\n -112.31306076049803,\n 43.924851833243785\n ],\n [\n -112.31254577636719,\n 43.90655042390404\n ],\n [\n -112.30258941650389,\n 43.90667410096243\n ],\n [\n -112.30241775512695,\n 43.91038429322458\n ],\n [\n -112.28799819946289,\n 43.91026062387522\n ],\n [\n -112.28765487670898,\n 43.90667410096243\n ],\n [\n -112.28284835815428,\n 43.90655042390404\n ],\n [\n -112.28216171264647,\n 43.90296367743057\n ],\n [\n -112.27752685546875,\n 43.90321104619439\n ],\n [\n -112.2776985168457,\n 43.89962409851726\n ],\n [\n -112.24662780761719,\n 43.89925302263017\n ],\n [\n -112.24679946899414,\n 43.917309366668476\n ],\n [\n -112.24250793457031,\n 43.917309366668476\n ],\n [\n -112.2421646118164,\n 43.921018895951235\n ],\n [\n -112.22705841064453,\n 43.92077160119423\n ],\n [\n -112.22705841064453,\n 43.92769546584876\n ],\n [\n -112.2169303894043,\n 43.92806636442745\n ],\n [\n -112.2169303894043,\n 43.94079914613631\n ],\n [\n -112.22328186035156,\n 43.957483615166055\n ],\n [\n -112.24782943725586,\n 43.957854327949335\n ],\n [\n -112.24731445312499,\n 43.9788576066932\n ],\n [\n -112.24285125732422,\n 43.97836349721919\n ],\n [\n -112.24267959594727,\n 43.98206921804778\n ],\n [\n -112.22963333129883,\n 43.98206921804778\n ],\n [\n -112.23066329956055,\n 43.99306149560464\n ],\n [\n -112.24782943725586,\n 43.99306149560464\n ],\n [\n -112.24765777587889,\n 43.989603470452224\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"203","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59200449e4b0ac16dbdeb77c","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695642,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187794,"text":"70187794 - 2017 - Evaluating the impact of irrigation on surface water – groundwater interaction and stream temperature in an agricultural watershed","interactions":[],"lastModifiedDate":"2017-05-19T13:36:19","indexId":"70187794","displayToPublicDate":"2017-05-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the impact of irrigation on surface water – groundwater interaction and stream temperature in an agricultural watershed","docAbstract":"Changes in groundwater discharge to streams caused by irrigation practices can influence stream temperature. Observations along two currently flood-irrigated reaches in the 640-square-kilometer upper Smith River watershed, an important agricultural and recreational fishing area in west-central Montana, showed a downstream temperature decrease resulting from groundwater discharge to the stream. A watershed-scale coupled surface water and groundwater flow model was used to examine changes in streamflow, groundwater discharge to the stream and stream temperature resulting from irrigation practices. The upper Smith River watershed was used to develop the model framework including watershed climate, topography, hydrography, vegetation, soil properties and current irrigation practices. Model results were used to compare watershed streamflow, groundwater recharge, and groundwater discharge to the stream for three scenarios: natural, pre-irrigation conditions (PreIrr); current irrigation practices involving mainly stream diversion for flood and sprinkler irrigation (IrrCurrent); and a hypothetical scenario with only groundwater supplying sprinkler irrigation (IrrGW). Irrigation increased groundwater recharge relative to natural PreIrr conditions because not all applied water was removed by crop evapotranspiration. Groundwater storage and groundwater discharge to the stream increased relative to natural PreIrr conditions when the source of irrigation water was mainly stream diversion as in the IrrCurrent scenario. The hypothetical IrrGW scenario, in which groundwater withdrawals were the sole source of irrigation water, resulted in widespread lowering of the water table and associated decreases in groundwater storage and groundwater discharge to the stream. A mixing analysis using model predicted groundwater discharge along the reaches suggests that stream diversion and flood irrigation, represented in the IrrCurrent scenario, has led to cooling of stream temperatures relative to natural PreIrr conditions improving fish thermal habitat. However, the decrease in groundwater discharge in the IrrGW scenario resulting from large-scale groundwater withdrawal for irrigation led to warmer than natural stream temperatures and possible degradation of fish habitat.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.04.205","usgsCitation":"Essaid, H.I., and Caldwell, R.R., 2017, Evaluating the impact of irrigation on surface water – groundwater interaction and stream temperature in an agricultural watershed: Science of the Total Environment, v. 599-600, p. 581-596, https://doi.org/10.1016/j.scitotenv.2017.04.205.","productDescription":"16 p.","startPage":"581","endPage":"596","ipdsId":"IP-083683","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.04.205","text":"Publisher Index Page"},{"id":341512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.324462890625,\n 46.027481852486645\n ],\n [\n -110.32470703125,\n 46.027481852486645\n ],\n [\n -110.32470703125,\n 46.73986059969267\n ],\n [\n -111.324462890625,\n 46.73986059969267\n ],\n [\n -111.324462890625,\n 46.027481852486645\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"599-600","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59200448e4b0ac16dbdeb77a","contributors":{"authors":[{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":695649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":695650,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187797,"text":"70187797 - 2017 - Thermal effect of climate change on groundwater-fed ecosystems","interactions":[],"lastModifiedDate":"2017-11-27T13:53:53","indexId":"70187797","displayToPublicDate":"2017-05-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Thermal effect of climate change on groundwater-fed ecosystems","docAbstract":"Groundwater temperature changes will lag surface temperature changes from a changing climate. Steady state solutions of the heat-transport equations are used to identify key processes that control the long-term thermal response of springs and other groundwater discharge to climate change, in particular changes in (1) groundwater recharge rate and temperature and (2) land-surface temperature transmitted through the vadose zone. Transient solutions are developed to estimate the time required for new thermal signals to arrive at ecosystems. The solution is applied to the volcanic Medicine Lake highlands, California, USA, and associated springs complexes that host groundwater-dependent ecosystems. In this system, upper basin groundwater temperatures are strongly affected only by recharge conditions. However, as the vadose zone thins away from the highlands, changes in the average annual land-surface temperature also influence groundwater temperatures. Transient response to temperature change depends on both the conductive time scale and the rate at which recharge delivers heat. Most of the thermal response of groundwater at high elevations will occur within 20 years of a shift in recharge temperatures, but the large lower elevation springs will respond more slowly, with about half of the conductive response occurring within the first 20 years and about half of the advective response to higher recharge temperatures occurring in approximately 60 years.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016WR020007","usgsCitation":"Burns, E.R., Zhu, Y., Zhan, H., Manga, M., Williams, C.F., Ingebritsen, S.E., and Dunham, J.B., 2017, Thermal effect of climate change on groundwater-fed ecosystems: Water Resources Research, v. 53, no. 4, p. 3341-3351, https://doi.org/10.1002/2016WR020007.","productDescription":"11 p.","startPage":"3341","endPage":"3351","ipdsId":"IP-078258","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":461585,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr020007","text":"Publisher Index Page"},{"id":341520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Medicine Lake highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.283333,\n 41.766667\n ],\n [\n -121.283333,\n 41.766667\n ],\n [\n -121.283333,\n 40.9\n ],\n [\n -122.283333,\n 40.9\n ],\n [\n -122.283333,\n 41.766667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"59200447e4b0ac16dbdeb776","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":695657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Yonghui 0000-0002-6608-5188","orcid":"https://orcid.org/0000-0002-6608-5188","contributorId":192155,"corporation":false,"usgs":false,"family":"Zhu","given":"Yonghui","email":"","affiliations":[],"preferred":false,"id":695658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhan, Hongbin 0000-0003-2060-4904","orcid":"https://orcid.org/0000-0003-2060-4904","contributorId":192156,"corporation":false,"usgs":false,"family":"Zhan","given":"Hongbin","email":"","affiliations":[],"preferred":false,"id":695659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manga, Michael","contributorId":145531,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":695660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Colin F. 0000-0003-2196-5496 colin@usgs.gov","orcid":"https://orcid.org/0000-0003-2196-5496","contributorId":274,"corporation":false,"usgs":true,"family":"Williams","given":"Colin","email":"colin@usgs.gov","middleInitial":"F.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":695661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":695662,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":695663,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70187790,"text":"70187790 - 2017 - Unraveling the disease consequences and mechanisms of modular structure in animal social networks","interactions":[],"lastModifiedDate":"2017-05-19T10:43:03","indexId":"70187790","displayToPublicDate":"2017-05-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Unraveling the disease consequences and mechanisms of modular structure in animal social networks","docAbstract":"Disease risk is a potential cost of group living. Although modular organization is thought to reduce this cost in animal societies, empirical evidence toward this hypothesis has been conflicting. We analyzed empirical social networks from 43 animal species to motivate our study of the epidemiological consequences of modular structure in animal societies. From these empirical studies, we identified the features of interaction patterns associated with network modularity and developed a theoretical network model to investigate when and how subdivisions in social networks influence disease dynamics. Contrary to prior work, we found that disease risk is largely unaffected by modular structure, although social networks beyond a modular threshold experience smaller disease burden and longer disease duration. Our results illustrate that the lowering of disease burden in highly modular social networks is driven by two mechanisms of modular organization: network fragmentation and subgroup cohesion. Highly fragmented social networks with cohesive subgroups are able to structurally trap infections within a few subgroups and also cause a structural delay to the spread of disease outbreaks. Finally, we show that network models incorporating modular structure are necessary only when prior knowledge suggests that interactions within the population are highly subdivided. Otherwise, null networks based on basic knowledge about group size and local contact heterogeneity may be sufficient when data-limited estimates of epidemic consequences are necessary. Overall, our work does not support the hypothesis that modular structure universally mitigates the disease impact of group living.
","language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1613616114","usgsCitation":"Sah, P., Leu, S.T., Cross, P.C., Hudson, P., and Bansal, S., 2017, Unraveling the disease consequences and mechanisms of modular structure in animal social networks: PNAS, v. 16, no. 114, p. 4165-4170, https://doi.org/10.1073/pnas.1613616114.","productDescription":"6 p.","startPage":"4165","endPage":"4170","ipdsId":"IP-078998","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":469837,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1613616114","text":"Publisher Index Page"},{"id":341500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"114","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-03","publicationStatus":"PW","scienceBaseUri":"59200449e4b0ac16dbdeb780","contributors":{"authors":[{"text":"Sah, Pratha","contributorId":127768,"corporation":false,"usgs":false,"family":"Sah","given":"Pratha","email":"","affiliations":[{"id":7145,"text":"Department of Biology, Georgetown University, Washington DC","active":true,"usgs":false}],"preferred":false,"id":695635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leu, Stephan T.","contributorId":192148,"corporation":false,"usgs":false,"family":"Leu","given":"Stephan","email":"","middleInitial":"T.","affiliations":[{"id":7146,"text":"Georgetown University","active":true,"usgs":false}],"preferred":false,"id":695639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":695634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudson, Peter J.","contributorId":85056,"corporation":false,"usgs":true,"family":"Hudson","given":"Peter J.","affiliations":[],"preferred":false,"id":695637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bansal, Shweta","contributorId":168595,"corporation":false,"usgs":false,"family":"Bansal","given":"Shweta","email":"","affiliations":[{"id":25339,"text":"Dep't of Biology, Georgetown U., Washington D.C., NIH, Bethesda, MD","active":true,"usgs":false}],"preferred":false,"id":695638,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70139441,"text":"70139441 - 2017 - Map projections and the Internet","interactions":[],"lastModifiedDate":"2020-08-20T19:28:58.81488","indexId":"70139441","displayToPublicDate":"2017-05-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Map projections and the Internet","docAbstract":"The field of map projections can be described as mathematical, static, and challenging. However, this description is evolving in concert with the development of the Internet. The Internet has enabled new outlets for software applications, learning, and interaction with and about map projections . This chapter examines specific ways in which the Internet has moved map projections from a relatively obscure paper-based setting to a more engaging and accessible online environment. After a brief overview of map projections, this chapter discusses four perspectives on how map projections have been integrated into the Internet. First, map projections and their role in web maps and mapping services is examined. Second, an overview of online atlases and the map projections chosen for their maps is presented. Third, new programming languages and code libraries that enable map projections to be included in mapping applications are reviewed. Fourth, the Internet has facilitated map projection education and research especially with the map reader’s comprehension and understanding of complex topics like map projection distortion is discussed.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Choosing a map projection","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Cham, Switzerland","doi":"10.1007/978-3-319-51835-0_4","isbn":"978-3-319-51834-3","usgsCitation":"Kessler, F., Battersby, S.E., Finn, M.P., and Clarke, K., 2017, Map projections and the Internet, chap. 4 of Choosing a map projection, p. 117-148, https://doi.org/10.1007/978-3-319-51835-0_4.","productDescription":"32 p.","startPage":"117","endPage":"148","ipdsId":"IP-062186","costCenters":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"links":[{"id":341515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-05","publicationStatus":"PW","scienceBaseUri":"5920044ae4b0ac16dbdeb787","contributors":{"authors":[{"text":"Kessler, Fritz","contributorId":138942,"corporation":false,"usgs":false,"family":"Kessler","given":"Fritz","email":"","affiliations":[{"id":12588,"text":"Frostburg State University/ Department of Geography","active":true,"usgs":false}],"preferred":false,"id":539399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battersby, Sarah E.","contributorId":138943,"corporation":false,"usgs":false,"family":"Battersby","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":12589,"text":"University of South Carolina/ Department of Geography","active":true,"usgs":false}],"preferred":false,"id":539400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":539398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clarke, Keith","contributorId":13861,"corporation":false,"usgs":true,"family":"Clarke","given":"Keith","affiliations":[],"preferred":false,"id":539401,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182251,"text":"ofr20171023 - 2017 - Estimates of immediate effects on world markets of a hypothetical disruption to Russia’s supply of six mineral commodities","interactions":[],"lastModifiedDate":"2017-05-18T12:55:15","indexId":"ofr20171023","displayToPublicDate":"2017-05-18T13:15:00","publicationYear":"2017","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":"2017-1023","title":"Estimates of immediate effects on world markets of a hypothetical disruption to Russia’s supply of six mineral commodities","docAbstract":"The potential immediate effects of a hypothetical shock to Russia’s supply of selected mineral commodities on the world market and on individual countries were determined and monetized (in 2014 U.S. dollars). The mineral commodities considered were aluminum (refined primary), nickel (refined primary), palladium (refined) and platinum (refined), potash, and titanium (mill products), and the regions and countries of primary interest were the United States, the European Union (EU–28), and China. The shock is assumed to have infinite duration, but only the immediate effects, those limited by a 1-year period, are considered.
A methodology for computing and monetizing the potential impacts was developed. Then the data pertaining to all six mineral commodities were collected and the most likely effects were computed. Because of the uncertainties associated with some of the data, sensitivity analyses were conducted to confirm the validity of the results.
Results indicate that the impact on the United States arising from a shock to Russia’s supply, in terms of the value of net exports, would range from a gain of \\$336 million for titanium mill products to a loss of \\$237 million for potash; thus, the overall effect of a supply shock is likely to be quite modest. The study also demonstrates that, taken alone, Russia’s share in the world production of a particular commodity is not necessarily indicative of the size of potential impacts resulting from a supply shock; other factors, such as prices, domestic production, and the structure of international commodity flows were found to be important as well.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171023","usgsCitation":"Safirova, Elena, Barry, J.J., Hastorun, Sinan, Matos, G.R., and Perez, A.A., with contributions from Bedinger, G.M., Bray, E.L., Jasinski, S.M., Kuck, P.H., and Loferski, P.J., 2017, Estimates of immediate effects on world markets of a hypothetical disruption to Russia’s supply of six mineral commodities: U.S. Geological Survey Open-File Report 2017–1023, 22 p., https://doi.org/10.3133/ofr20171023.","productDescription":"vi, 22 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-068616","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":340045,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1023/coverthb.jpg"},{"id":340046,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1023/ofr20171023.pdf","text":"Report","size":"390 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1023"}],"contact":"National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Remote sensing-based field-scale evapotranspiration (ET) maps are useful for characterizing water use patterns and assessing crop performance. The relative impact of climate variability and water management decisions are better studied and quantified using historical data that are derived using a set of consistent datasets and methodology. Historical (1984–2014) Landsat-based ET maps were generated for major irrigation districts in California, i.e., Palo Verde and eight other sub-basins in parts of the middle and lower Central Valley. A total of 3396 Landsat images were processed using the Operational Simplified Surface Energy Balance (SSEBop) model that integrates weather and remotely sensed images to estimate monthly and annual ET within the study sites over the 31 years. Model output evaluation and validation using gridded-flux data and water balance ET approaches indicated relatively good correspondence (R2 up to 0.88, root mean square error as low as 14 mm/month) between SSEBop ET and validation datasets. In a pairwise comparison, annual variability of agro-hydrologic parameters of actual evapotranspiration (ETa), land surface temperature (Ts), and runoff (Q) were found to be more variable than their corresponding climatic counterparts of atmospheric water demand (ETo), air temperature (Ta), and precipitation (P), revealing process differences between regional climatic drivers and localized agro-hydrologic responses. However, only Ta showed a consistent increase (up to 1.2 K) over study sites during the 31 years, whereas other climate variables such as ETo and P showed a generally neutral trend. This study demonstrates a useful application of “Big Data” science where large volumes of historical Landsat and weather datasets were used to quantify and understand the relative importance of water management and climate variability in crop water use dynamics in regards to the linkages among water management decisions, hydrologic processes and economic transactions. Irrigation district-wide ETa estimates were used to compute historical crop water use volumes and monetary equivalents of water savings for the Palo Verde Irrigation District (PVID). During the peak crop fallowing year in PVID, the water saved reached a maximum of ~ 107,200 acre-feet in 2011 with an estimated monetary payout value of $20.5 million. A significant decreasing trend in actual ET despite an increasing atmospheric demand in PVID highlights the role of management decisions in affecting local hydrologic processes. This study has importance for planning water resource allocation, managing water rights, sustaining agricultural production, and quantifying impacts of climate and land use/land cover changes on water resources. With increased computational efficiency, similar studies can be conducted in other parts of the world to help policy and decision makers understand and quantify various aspects of water resources management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2017.05.005","usgsCitation":"Senay, G.B., Schauer, M., Friedrichs, M., Velpuri, N., and Singh, R., 2017, Satellite-based water use dynamics using historical Landsat data (1984–2014) in the southwestern United States: Remote Sensing of Environment, v. 202, p. 98-112, https://doi.org/10.1016/j.rse.2017.05.005.","productDescription":"15 p.","startPage":"98","endPage":"112","ipdsId":"IP-084512","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":493296,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2017.05.005","text":"Publisher Index Page"},{"id":493191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.40977836532282,\n 42.04933677309765\n ],\n [\n -123.16675091874134,\n 36.46673710104686\n ],\n [\n -118.58307879273526,\n 32.705501119947826\n ],\n [\n -113.73717874196483,\n 32.12914120007623\n ],\n [\n -113.88408063137007,\n 35.268837865873046\n ],\n [\n -114.8258516238531,\n 35.43740401775197\n ],\n [\n -117.48081678552326,\n 37.20400442230724\n ],\n [\n -120.03564230020528,\n 39.18700095919894\n ],\n [\n -120.18220374157768,\n 41.98136883976758\n ],\n [\n -125.40977836532282,\n 42.04933677309765\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"202","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":216909,"corporation":false,"usgs":true,"family":"Schauer","given":"Matthew","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":944426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X mfriedrichs@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":5847,"corporation":false,"usgs":true,"family":"Friedrichs","given":"MacKenzie","email":"mfriedrichs@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":216911,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga Manohar ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":944428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singh, Ramesh 0000-0002-8164-3483","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":210983,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":944429,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187778,"text":"70187778 - 2017 - Effect of salinity on mercury methylating benthic microbes and their activities in Great Salt Lake, Utah","interactions":[],"lastModifiedDate":"2017-05-18T14:19:06","indexId":"70187778","displayToPublicDate":"2017-05-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Effect of salinity on mercury methylating benthic microbes and their activities in Great Salt Lake, Utah","docAbstract":"Surface water and biota from Great Salt Lake (GSL) contain some of the highest documented concentrations of total mercury (THg) and methylmercury (MeHg) in the United States. In order to identify potential biological sources of MeHg and controls on its production in this ecosystem, THg and MeHg concentrations, rates of Hg(II)-methylation and MeHg degradation, and abundances and compositions of archaeal and bacterial 16 rRNA gene transcripts were determined in sediment along a salinity gradient in GSL. Rates of Hg(II)-methylation were inversely correlated with salinity and were at or below the limits of detection in sediment sampled from areas with hypersaline surface water. The highest rates of Hg(II)-methylation were measured in sediment with low porewater salinity, suggesting that benthic microbial communities inhabiting less saline environments are supplying the majority of MeHg in the GSL ecosystem. The abundance of 16S rRNA gene transcripts affiliated with the sulfate reducer Desulfobacterium sp. was positively correlated with MeHg concentrations and Hg(II)-methylation rates in sediment, indicating a potential role for this taxon in Hg(II)-methylation in low salinity areas of GSL. Reactive inorganic Hg(II) (a proxy used for Hg(II) available for methylation) and MeHg concentrations were inversely correlated with salinity. Thus, constraints imposed by salinity on Hg(II)-methylating populations and the availability of Hg(II) for methylation are inferred to result in higher MeHg production potentials in lower salinity environments. Benthic microbial MeHg degradation was also most active in lower salinity environments. Collectively, these results suggest an important role for sediment anoxia and microbial sulfate reducers in the production of MeHg in low salinity GSL sub-habitats and may indicate a role for salinity in constraining Hg(II)-methylation and MeHg degradation activities by influencing the availability of Hg(II) for methylation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.12.157","usgsCitation":"Boyd, E., Yu, R., Barkay, T., Hamilton, T.L., Baxter, B.K., Naftz, D.L., and Marvin-DiPasquale, M., 2017, Effect of salinity on mercury methylating benthic microbes and their activities in Great Salt Lake, Utah: Science of the Total Environment, v. 581-582, p. 495-506, https://doi.org/10.1016/j.scitotenv.2016.12.157.","productDescription":"12 p.","startPage":"495","endPage":"506","ipdsId":"IP-080435","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":469838,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.12.157","text":"External Repository"},{"id":341480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.2415771484375,\n 40.60144147645398\n ],\n [\n -111.84356689453125,\n 40.60144147645398\n ],\n [\n -111.84356689453125,\n 41.75287318430239\n ],\n [\n -113.2415771484375,\n 41.75287318430239\n ],\n [\n -113.2415771484375,\n 40.60144147645398\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"581-582","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591eb2e1e4b0a7fdb4418b83","contributors":{"authors":[{"text":"Boyd, Eric S.","contributorId":192130,"corporation":false,"usgs":false,"family":"Boyd","given":"Eric S.","affiliations":[],"preferred":false,"id":695581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Ri-Qing","contributorId":192131,"corporation":false,"usgs":false,"family":"Yu","given":"Ri-Qing","email":"","affiliations":[],"preferred":false,"id":695582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barkay, Tamar","contributorId":192132,"corporation":false,"usgs":false,"family":"Barkay","given":"Tamar","email":"","affiliations":[],"preferred":false,"id":695583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamilton, Trinity L.","contributorId":192133,"corporation":false,"usgs":false,"family":"Hamilton","given":"Trinity","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":695584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baxter, Bonnie K.","contributorId":192134,"corporation":false,"usgs":false,"family":"Baxter","given":"Bonnie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":695585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695579,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marvin-DiPasquale, Mark 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":149175,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":695580,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70187773,"text":"70187773 - 2017 - Estimating evaporative fraction from readily obtainable variables in mangrove forests of the Everglades, U.S.A.","interactions":[],"lastModifiedDate":"2017-05-18T12:57:32","indexId":"70187773","displayToPublicDate":"2017-05-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Estimating evaporative fraction from readily obtainable variables in mangrove forests of the Everglades, U.S.A.","docAbstract":"A remote-sensing-based model to estimate evaporative fraction (EF) – the ratio of latent heat (LE; energy equivalent of evapotranspiration –ET–) to total available energy – from easily obtainable remotely-sensed and meteorological parameters is presented. This research specifically addresses the shortcomings of existing ET retrieval methods such as calibration requirements of extensive accurate in situ micrometeorological and flux tower observations or of a large set of coarse-resolution or model-derived input datasets. The trapezoid model is capable of generating spatially varying EF maps from standard products such as land surface temperature (Ts) normalized difference vegetation index (NDVI) and daily maximum air temperature (Ta). The 2009 model results were validated at an eddy-covariance tower (Fluxnet ID: US-Skr) in the Everglades using Ts and NDVI products from Landsat as well as the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors. Results indicate that the model accuracy is within the range of instrument uncertainty, and is dependent on the spatial resolution and selection of end-members (i.e. wet/dry edge). The most accurate results were achieved with the Ts from Landsat relative to the Ts from the MODIS flown on the Terra and Aqua platforms due to the fine spatial resolution of Landsat (30 m). The bias, mean absolute percentage error and root mean square percentage error were as low as 2.9% (3.0%), 9.8% (13.3%), and 12.1% (16.1%) for Landsat-based (MODIS-based) EF estimates, respectively. Overall, this methodology shows promise for bridging the gap between temporally limited ET estimates at Landsat scales and more complex and difficult to constrain global ET remote-sensing models.
Shaded coffee plantations are of conservation value for many taxa, particularly for resident avifauna in the face of extensive landscape changes. Yet, little is known about the value of coffee plantations for amphibians because there are scant demographic data to index their value among species with different habitat preferences. We estimated the probability of occupancy of three frog species: Eleutherodactylus wightmanae, a forest species; E. brittoni, a grassland species; and E. antillensis, an open habitat species. Occupancy was estimated in sun and shaded plantations, and in secondary forest, in the west-central mountains of Puerto Rico. We also estimated the probability that a survey station was occupied by no individuals, one, or >1 individual, as a proxy of abundance. The aforementioned parameters, and local colonization and extinction probability, were modeled as a function of weather conditions (temperature, humidity) and vegetation cover at the sampling station (5 m) and contextual (100 m) scales. Encounter histories were obtained with passive acoustic recorders between February and July in 2015. Consistent with known habitat preferences, the highest occupancies were associated with secondary forests for E. wightmanae and sun plantations for E. brittoni. Occupancy probability for E. antillensis was similar across habitat types, indicating no aversion to shaded–forested habitats. Shaded plantations harbored moderate levels of occupancy for all species, indicating their potential value for multispecies conservation. Local colonization rates increased with forest cover for E. wightmanae, and with open habitats for E. brittoni and E. antillensis. Open habitats harbored a higher abundance of E. brittoni and E antillensis, but lower values for E. wightmanae. Sun and shaded plantations could provide quality habitat for Eleutherodactylus spp. if managed for features that promote local colonization and abundance.
","language":"English","publisher":"The Herpetologists' League","doi":"10.1655/Herpetologica-D-16-00089","usgsCitation":"Monroe, K.D., Collazo, J., Pacifici, K., Reich, B.J., Puente-Rolon, A.R., and Terando, A.J., 2017, Occupancy and abundance of Eleutherodactylus frogs in coffee plantations in Puerto Rico: Herpetologica, v. 73, no. 4, p. 297-306, https://doi.org/10.1655/Herpetologica-D-16-00089.","productDescription":"10 p.","startPage":"297","endPage":"306","ipdsId":"IP-077346","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto 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Atlanta","active":true,"usgs":true}],"preferred":false,"id":720608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pacifici, Krishna","contributorId":26564,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":721099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reich, Brian J.","contributorId":150871,"corporation":false,"usgs":false,"family":"Reich","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":721100,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puente-Rolon, Alberto R.","contributorId":42498,"corporation":false,"usgs":true,"family":"Puente-Rolon","given":"Alberto","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721101,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":721102,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187787,"text":"70187787 - 2017 - A hierarchical model for estimating the spatial distribution and abundance of animals detected by continuous-time recorders","interactions":[],"lastModifiedDate":"2017-12-21T10:19:21","indexId":"70187787","displayToPublicDate":"2017-05-17T00:00:00","publicationYear":"2017","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":"A hierarchical model for estimating the spatial distribution and abundance of animals detected by continuous-time recorders","docAbstract":"Several spatial capture-recapture (SCR) models have been developed to estimate animal abundance by analyzing the detections of individuals in a spatial array of traps. Most of these models do not use the actual dates and times of detection, even though this information is readily available when using continuous-time recorders, such as microphones or motion-activated cameras. Instead most SCR models either partition the period of trap operation into a set of subjectively chosen discrete intervals and ignore multiple detections of the same individual within each interval, or they simply use the frequency of detections during the period of trap operation and ignore the observed times of detection. Both practices make inefficient use of potentially important information in the data.
We developed a hierarchical SCR model to estimate the spatial distribution and abundance of animals detected with continuous-time recorders. Our model includes two kinds of point processes: a spatial process to specify the distribution of latent activity centers of individuals within the region of sampling and a temporal process to specify temporal patterns in the detections of individuals. We illustrated this SCR model by analyzing spatial and temporal patterns evident in the camera-trap detections of tigers living in and around the Nagarahole Tiger Reserve in India. We also conducted a simulation study to examine the performance of our model when analyzing data sets of greater complexity than the tiger data.
Our approach provides three important benefits: First, it exploits all of the information in SCR data obtained using continuous-time recorders. Second, it is sufficiently versatile to allow the effects of both space use and behavior of animals to be specified as functions of covariates that vary over space and time. Third, it allows both the spatial distribution and abundance of individuals to be estimated, effectively providing a species distribution model, even in cases where spatial covariates of abundance are unknown or unavailable. We illustrated these benefits in the analysis of our data, which allowed us to quantify differences between nocturnal and diurnal activities of tigers and to estimate their spatial distribution and abundance across the study area. Our continuous-time SCR model allows an analyst to specify many of the ecological processes thought to be involved in the distribution, movement, and behavior of animals detected in a spatial trapping array of continuous-time recorders. We plan to extend this model to estimate the population dynamics of animals detected during multiple years of SCR surveys.
The accuracy of global positioning system (GPS) locations obtained from study animals tagged with GPS monitoring devices has been a concern as to the degree it influences assessments of movement patterns, space use, and resource selection estimates. Many methods have been proposed for screening data to retain the most accurate positions for analysis, based on dilution of precision (DOP) measures, and whether the position is a two dimensional or three dimensional fix. Here we further explore the utility of these measures, by testing a Telonics GEN3 GPS collar's positional accuracy across a wide range of environmental conditions. We found the relationship between location error and fix dimension and DOP metrics extremely weak (r2adj ∼ 0.01) in our study area. Environmental factors such as topographic exposure, canopy cover, and vegetation height explained more of the variance (r2adj = 15.08%). Our field testing covered sites where sky-view was so limited it affected GPS performance to the degree fix attempts failed frequently (fix success rates ranged 0.00–100.00% over 67 sites). Screening data using PDOP did not effectively reduce the location error in the remaining dataset. Removing two dimensional fixes reduced the mean location error by 10.95 meters, but also resulted in a 54.50% data reduction. Therefore screening data under the range of conditions sampled here would reduce information on animal movement with minor improvements in accuracy and potentially introduce bias towards more open terrain and vegetation.
","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/wlb.00229","usgsCitation":"Ironside, K.E., Mattson, D.J., Arundel, T.R., and Hansen, J.R., 2017, Is GPS telemetry location error screening beneficial?: Wildlife Biology, wlb.00229: 7 p., https://doi.org/10.2981/wlb.00229.","productDescription":"wlb.00229: 7 p.","ipdsId":"IP-072502","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469839,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00229","text":"Publisher Index Page"},{"id":342592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5944ee14e4b062508e3335f8","contributors":{"authors":[{"text":"Ironside, Kirsten E. 0000-0003-1166-3793 kironside@usgs.gov","orcid":"https://orcid.org/0000-0003-1166-3793","contributorId":3379,"corporation":false,"usgs":true,"family":"Ironside","given":"Kirsten","email":"kironside@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":698452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mattson, David J.","contributorId":191920,"corporation":false,"usgs":false,"family":"Mattson","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":698453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arundel, Terence R. 0000-0003-0324-4249 tarundel@usgs.gov","orcid":"https://orcid.org/0000-0003-0324-4249","contributorId":139242,"corporation":false,"usgs":true,"family":"Arundel","given":"Terence","email":"tarundel@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":698454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Jered R. jrhansen@usgs.gov","contributorId":5161,"corporation":false,"usgs":true,"family":"Hansen","given":"Jered","email":"jrhansen@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":698455,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187709,"text":"70187709 - 2017 - Predicting wading bird and aquatic faunal responses to ecosystem restoration scenarios","interactions":[],"lastModifiedDate":"2017-11-10T14:27:56","indexId":"70187709","displayToPublicDate":"2017-05-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting wading bird and aquatic faunal responses to ecosystem restoration scenarios","docAbstract":"In large-scale conservation decisions, scenario planning identifies key uncertainties of ecosystem function linked to ecological drivers affected by management, incorporates ecological feedbacks, and scales up to answer questions robust to alternative futures. Wetland restoration planning requires an understanding of how proposed changes in surface hydrology, water storage, and landscape connectivity affect aquatic animal composition, productivity, and food-web function. In the Florida Everglades, reintroduction of historical hydrologic patterns is expected to increase productivity of all trophic levels. Highly mobile indicator species such as wading birds integrate secondary productivity from aquatic prey (small fishes and crayfish) over the landscape. To evaluate how fish, crayfish, and wading birds may respond to alternative hydrologic restoration plans, we compared predicted small fish density, crayfish density and biomass, and wading bird occurrence for existing conditions to four restoration scenarios that varied water storage and removal of levees and canals (i.e. decompartmentalization). Densities of small fish and occurrence of wading birds are predicted to increase throughout most of the Everglades under all restoration options because of increased flows and connectivity. Full decompartmentalization goes furthest toward recreating hypothesized historical patterns of fish density by draining excess water ponded by levees and hydrating areas that are currently drier than in the past. In contrast, crayfish density declined and species composition shifted under all restoration options because of lengthened hydroperiods (i.e. time of inundation). Under full decompartmentalization, the distribution of increased prey available for wading birds shifted south, closer to historical locations of nesting activity in Everglades National Park.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.12518","usgsCitation":"Beerens, J.M., Trexler, J.C., and Catano, C.P., 2017, Predicting wading bird and aquatic faunal responses to ecosystem restoration scenarios: Restoration Ecology, v. 25, no. S1, p. S86-S98, https://doi.org/10.1111/rec.12518.","productDescription":"13 p.","startPage":"S86","endPage":"S98","ipdsId":"IP-070475","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469841,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://onlinelibrary.wiley.com/doi/10.1111/rec.12518/abstract","text":"External Repository"},{"id":341344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"S1","publicComments":"Special Issue: Synthesis of Everglades research and ecosystem services (SERES) project","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-10","publicationStatus":"PW","scienceBaseUri":"591c0fc8e4b0a7fdb43ddeec","contributors":{"authors":[{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":695201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":695202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catano, Christopher P.","contributorId":138935,"corporation":false,"usgs":false,"family":"Catano","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":695203,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188419,"text":"70188419 - 2017 - Local and cross-seasonal associations of climate and land use with abundance of monarch butterflies Danaus plexippus","interactions":[],"lastModifiedDate":"2017-06-08T16:02:47","indexId":"70188419","displayToPublicDate":"2017-05-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Local and cross-seasonal associations of climate and land use with abundance of monarch butterflies Danaus plexippus","docAbstract":"Quantifying how climate and land use factors drive population dynamics at regional scales is complex because it depends on the extent of spatial and temporal synchrony among local populations, and the integration of population processes throughout a species’ annual cycle. We modeled weekly, site-specific summer abundance (1994–2013) of monarch butterflies Danaus plexippus at sites across Illinois, USA to assess relative associations of monarch abundance with climate and land use variables during the winter, spring, and summer stages of their annual cycle. We developed negative binomial regression models to estimate monarch abundance during recruitment in Illinois as a function of local climate, site-specific crop cover, and county-level herbicide (glyphosate) application. We also incorporated cross-seasonal covariates, including annual abundance of wintering monarchs in Mexico and climate conditions during spring migration and breeding in Texas, USA. We provide the first empirical evidence of a negative association between county-level glyphosate application and local abundance of adult monarchs, particularly in areas of concentrated agriculture. However, this association was only evident during the initial years of the adoption of herbicide-resistant crops (1994–2003). We also found that wetter and, to a lesser degree, cooler springs in Texas were associated with higher summer abundances in Illinois, as were relatively cool local summer temperatures in Illinois. Site-specific abundance of monarchs averaged approximately one fewer per site from 2004–2013 than during the previous decade, suggesting a recent decline in local abundance of monarch butterflies on their summer breeding grounds in Illinois. Our results demonstrate that seasonal climate and land use are associated with trends in adult monarch abundance, and our approach highlights the value of considering fine-resolution temporal fluctuations in population-level responses to environmental conditions when inferring the dynamics of migratory species.","language":"English","publisher":"Nordic Society Oikos","doi":"10.1111/ecog.02719","usgsCitation":"Saunders, S.P., Ries, L., Oberhasuer, K.S., Thogmartin, W.E., and Zipkin, E.F., 2017, Local and cross-seasonal associations of climate and land use with abundance of monarch butterflies Danaus plexippus: Ecography, v. 40, p. 001-012, https://doi.org/10.1111/ecog.02719.","startPage":"001","endPage":"012","ipdsId":"IP-076484","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":461591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.02719","text":"Publisher 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