Thermochemical models have predicted that Ceres, is to some extent, differentiated and should have an icy crust with few or no impact craters. We present observations by the Dawn spacecraft that reveal a heavily cratered surface, a heterogeneous crater distribution, and an apparent absence of large craters. The morphology of some impact craters is consistent with ice in the subsurface, which might have favored relaxation, yet large unrelaxed craters are also present. Numerous craters exhibit polygonal shapes, terraces, flowlike features, slumping, smooth deposits, and bright spots. Crater morphology and simple-to-complex crater transition diameters indicate that the crust of Ceres is neither purely icy nor rocky. By dating a smooth region associated with the Kerwan crater, we determined absolute model ages (AMAs) of 550 million and 720 million years, depending on the applied chronology model.
Recreational ground squirrel shooting is a popular activity throughout the western United States and serves as a tool for managing ground squirrel populations in agricultural regions. Belding’s ground squirrels (Spermophilus beldingi) are routinely shot in California, Nevada, and Oregon across habitats that overlap with breeding avian scavengers. Ground squirrels shot with lead (Pb)-based bullets may pose a risk to avian scavengers if they consume carcasses containing Pb fragments. To assess the potential risk to breeding avian scavengers we developed a model to estimate the number, mass, and distribution of Pb fragments in shot ground squirrels using radiographic images. Eighty percent of shot carcasses contained detectible Pb fragments with an average of 38.6 mg of Pb fragments. Seven percent of all carcasses contained Pb fragment masses exceeding a lethal dose for a model raptor nestling (e.g. American kestrel Falco sparverius). Bullet type did not influence the number of fragments in shot ground squirrels, but did influence the mass of fragments retained. Belding’s ground squirrels shot with .17 Super Mag and unknown ammunition types contained over 28 and 17 times more mass of Pb fragments than those shot with .22 solid and .22 hollow point bullets, respectively. Ground squirrel body mass was positively correlated with both the number and mass of Pb fragments in carcasses, increasing on average by 76% and 56% respectively across the range of carcass masses. Although the mass of Pb retained in ground squirrel carcasses was small relative to the original bullet mass, avian scavenger nestlings that frequently consume shot ground squirrels may be at risk for Pb-induced effects (e.g., physiology, growth, or survival). Using modeling efforts we found that if nestling golden eagles (Aquila chrysaetos), red-tailed hawks (Buteo jamaicensis), and Swainson’s hawks (B. swainsoni) consumed shot ground squirrels proportionately to the nestling’s mass, energy needs, and diet, 100% of the nestling period would exceed a 50% reduction in delta-aminolevulinic acid dehydratase production threshold, the last 13–27% of the nestling stage would exceed a reduced growth rate threshold, but no nestlings would be expected to exceed a level of Pb ingestion that would be lethal.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0167926","usgsCitation":"Herring, G., Eagles-Smith, C.A., and Wagner, M.T., 2016, Ground squirrel shooting and potential lead exposure in breeding avian scavengers: PLoS ONE, v. 11, no. 12, Article e0167926; 22 p., https://doi.org/10.1371/journal.pone.0167926.","productDescription":"Article e0167926; 22 p.","ipdsId":"IP-078699","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470329,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0167926","text":"Publisher Index Page"},{"id":335946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337384,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HM56J1","text":"Bullet fragments in Belding's ground squirrels in Oregon and California in 2014-2015"}],"country":"United States","state":"California, Oregon","county":"Lake County, Malheur County, Siskiyou County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.72066497802733,\n 43.40454862814641\n ],\n [\n -118.70899200439453,\n 43.40454862814641\n ],\n [\n -118.70899200439453,\n 43.414275651763674\n ],\n [\n -118.72066497802733,\n 43.414275651763674\n ],\n [\n -118.72066497802733,\n 43.40454862814641\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.95020294189452,\n 43.23494833218762\n ],\n [\n -120.92445373535155,\n 43.23494833218762\n ],\n [\n -120.92445373535155,\n 43.25545538602179\n ],\n [\n -120.95020294189452,\n 43.25545538602179\n ],\n [\n -120.95020294189452,\n 43.23494833218762\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.70997619628908,\n 41.82199022070215\n ],\n [\n -121.69143676757811,\n 41.82199022070215\n ],\n [\n -121.69143676757811,\n 41.83887416186901\n ],\n [\n -121.70997619628908,\n 41.83887416186901\n ],\n [\n -121.70997619628908,\n 41.82199022070215\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"58aeb13ae4b01ccd54f9ee16","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":670269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":670268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Mason T.","contributorId":182024,"corporation":false,"usgs":false,"family":"Wagner","given":"Mason","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":670270,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178107,"text":"fs20163089 - 2016 - Assessment of coalbed gas resources of the Central and South Sumatra Basin Provinces, Indonesia, 2016","interactions":[],"lastModifiedDate":"2018-02-15T14:57:19","indexId":"fs20163089","displayToPublicDate":"2016-12-09T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3089","title":"Assessment of coalbed gas resources of the Central and South Sumatra Basin Provinces, Indonesia, 2016","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated a mean of 20 trillion cubic feet of undiscovered, technically recoverable coalbed gas resource in the Central and South Sumatra Basin Provinces of Indonesia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163089","usgsCitation":"Schenk, C.J., Klett, T.R., Tennyson, M.E., Mercier, T.J., Brownfield, M.E., Pitman, J.K., Gaswirth, S.B., and Finn, T.M., 2016, Assessment of coalbed gas resources of the Central and South Sumatra Basin Provinces, Indonesia, 2016: U.S. Geological Survey Fact Sheet 2016–3089, 2 p., https://doi.org/10.3133/fs20163089.\n","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-076191","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":331695,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3089/fs20163089.pdf","text":"Report","size":"364 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3089"},{"id":331694,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3089/coverthb.jpg"}],"country":"Indonesia","otherGeospatial":"Central and South Sumatra Basin Provinces","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 100.843505859375,\n 3.370856476926319\n ],\n [\n 99.20654296875,\n 2.4162756547063857\n ],\n [\n 99.283447265625,\n 1.845383988573187\n ],\n [\n 99.481201171875,\n 1.2743089918452106\n ],\n [\n 100.118408203125,\n 0.7031073524364909\n ],\n [\n 100.535888671875,\n -0.06591795420830737\n ],\n [\n 100.74462890625,\n -0.39550467153200675\n ],\n [\n 100.87646484375,\n -0.8019757647536598\n ],\n [\n 101.1181640625,\n -1.2743089918452106\n ],\n [\n 101.90917968749999,\n -1.845383988573187\n ],\n [\n 102.37060546875,\n -2.5699386165358837\n ],\n [\n 102.87597656249999,\n -3.1953637983293928\n ],\n [\n 103.17260742187499,\n -3.436658158559079\n ],\n [\n 103.634033203125,\n -3.8313699273994\n ],\n [\n 104.095458984375,\n -4.0286587193699095\n ],\n [\n 104.3701171875,\n -4.1382430839837125\n ],\n [\n 105.029296875,\n -4.379274753863339\n ],\n [\n 105.809326171875,\n -4.455950571647079\n ],\n [\n 106.14990234375,\n -4.3245014930191905\n ],\n [\n 106.138916015625,\n -3.90809888189411\n ],\n [\n 106.094970703125,\n -3.579212785860631\n ],\n [\n 106.171875,\n -3.2173020581871374\n ],\n [\n 105.93017578125,\n -2.844290042813274\n ],\n [\n 105.765380859375,\n -2.471157337748159\n ],\n [\n 105.57861328125,\n -2.3065056838291094\n ],\n [\n 105.49072265625,\n -2.2955282141879016\n ],\n [\n 105.0732421875,\n -2.1857489471296665\n ],\n [\n 104.8974609375,\n -1.834403324493515\n ],\n [\n 104.820556640625,\n -1.3951257897508238\n ],\n [\n 104.600830078125,\n -0.9008417889908868\n ],\n [\n 104.490966796875,\n -0.7909904981540058\n ],\n [\n 104.117431640625,\n -0.6921218386632358\n ],\n [\n 103.974609375,\n -0.4064907305738824\n ],\n [\n 103.82080078125,\n -0.14282211771737158\n ],\n [\n 103.4033203125,\n 0.36254640877526295\n ],\n [\n 102.908935546875,\n 1.142502403706165\n ],\n [\n 102.54638671875,\n 1.5928123762763\n ],\n [\n 102.183837890625,\n 1.867345112921926\n ],\n [\n 101.8212890625,\n 2.1637921174107735\n ],\n [\n 101.44775390625,\n 2.5370123584000273\n ],\n [\n 101.129150390625,\n 2.9101249120129142\n ],\n [\n 100.843505859375,\n 3.370856476926319\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 689 million barrels of continuous shale oil and 3.9 trillion cubic feet of shale gas in the South Sumatra Basin Province in Indonesia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163090","usgsCitation":"Schenk, C.J., Tennyson, M.E., Klett, T.R., Finn, T.M., Mercier, T.J., Gaswirth, S.B., Marra, K.R., Le, P.A., and Hawkins, S.J., 2016, Assessment of continuous oil and gas resources of the South Sumatra Basin Province, Indonesia, 2016: U.S. Geological Survey Fact Sheet 2016–3090, 2 p., https://doi.org/10.3133/fs20163090.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-077729","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":331659,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3090/fs20163090.pdf","text":"Report","size":"448 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3090"},{"id":331658,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3090/coverthb2.jpg"}],"country":"Indonesia","otherGeospatial":"South Sumatra Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 105.809326171875,\n -5.670651222566598\n ],\n [\n 101.546630859375,\n -1.7575368113083125\n ],\n [\n 103.95263671874999,\n -0.3076157096439005\n ],\n [\n 106.19384765625,\n -2.964984369333955\n ],\n [\n 105.809326171875,\n -5.670651222566598\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
Marsh canopy structure was mapped yearly from 2009 to 2012 in the Barataria Bay, Louisiana coastal region that was impacted by the 2010 Deepwater Horizon (DWH) oil spill. Based on the previously demonstrated capability of NASA's UAVSAR polarimetric synthetic aperture radar (PolSAR) image data to map Spartina alterniflora marsh canopy structure, structure maps combining the leaf area index (LAI) and leaf angle distribution (LAD, orientation) were constructed for yearly intervals that were directly relatable to the 2010 LAI-LAD classification. The yearly LAI-LAD and LAI difference maps were used to investigate causes for the previously revealed dramatic change in marsh structure from prespill (2009) to postspill (2010, spill cessation), and the occurrence of structure features that exhibited abnormal spatial and temporal patterns. Water level and salinity records showed that freshwater releases used to keep the oil offshore did not cause the rapid growth from 2009 to 2010 in marsh surrounding the inner Bay. Photointerpretation of optical image data determined that interior marsh patches exhibiting rapid change were caused by burns and burn recovery, and that the pattern of 2010 to 2011 LAI decreases in backshore marsh and extending along some tidal channels into the interior marsh were not associated with burns. Instead, the majority of 2010 to 2011 shoreline features aligned with vectors displaying the severity of 2010 shoreline oiling from the DWH spill. Although the association is not conclusive of a causal oil impact, the coexistent pattern is a significant discovery. PolSAR marsh structure mapping provided a unique perspective of marsh biophysical status that enhanced detection of change and monitoring of trends important to management effectiveness.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.08.001","usgsCitation":"Ramsey, E.W., Rangoonwala, A., and Jones, C.E., 2016, Marsh canopy structure changes and the Deepwater Horizon oil spill: Remote Sensing of Environment, v. 186, p. 350-357, https://doi.org/10.1016/j.rse.2016.08.001.","productDescription":"8 p.","startPage":"350","endPage":"357","ipdsId":"IP-065814","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.9454116821289,\n 29.420460341013133\n ],\n [\n -89.9454116821289,\n 29.513421462044942\n ],\n [\n -89.81494903564453,\n 29.513421462044942\n ],\n [\n -89.81494903564453,\n 29.420460341013133\n ],\n [\n -89.9454116821289,\n 29.420460341013133\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"186","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dbe4b077fc20250dfc","contributors":{"authors":[{"text":"Ramsey, Elijah W. 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However, researchers have a poor understanding of the characteristics of long-distance movements for most species. Here, we examined long-distance movements for the lesser prairie-chicken (Tympanuchus pallidicinctus), a species of conservation concern. We addressed the following questions: (1) At what distances could populations be connected? (2) What are the characteristics and probability of dispersal movements? (3) Do lesser prairie-chickens display exploratory and round-trip movements? (4) Do the characteristics of long-distance movements vary by site? Movements were examined from populations using satellite GPS transmitters across the entire distribution of the species in New Mexico, Oklahoma, Kansas, and Colorado. Dispersal movements were recorded up to 71 km net displacement, much farther than hitherto recorded. These distances suggest that there may be greater potential connectivity among populations than previously thought. Dispersal movements were displayed primarily by females and had a northerly directional bias. Dispersal probabilities ranged from 0.08 to 0.43 movements per year for both sexes combined, although these movements averaged only 16 km net displacement. Lesser prairie-chickens displayed both exploratory foray loops and round-trip movements. Half of round-trip movements appeared seasonal, suggesting a partial migration in some populations. None of the long-distance movements varied by study site. Data presented here will be important in parameterizing models assessing population viability and informing conservation planning, although further work is needed to identify landscape features that may reduce connectivity among populations.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1441","usgsCitation":"Earl, J.E., Fuhlendorf, S.D., Haukos, D.A., Tanner, A.M., Elmore, D., and Carleton, S.A., 2016, Characteristics of lesser prairie-chicken (Tympanuchus pallidicinctus) long-distance movements across their distribution: Ecosphere, v. 7, no. 8, e01441: 13 p., https://doi.org/10.1002/ecs2.1441.","productDescription":"e01441: 13 p.","ipdsId":"IP-071103","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1441","text":"Publisher Index Page"},{"id":331802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Oklahoma, New Mexico, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.77636718749999,\n 33.742612777346885\n ],\n [\n -105.77636718749999,\n 39.2832938689385\n ],\n [\n -96.3720703125,\n 39.2832938689385\n ],\n [\n -96.3720703125,\n 33.742612777346885\n ],\n [\n -105.77636718749999,\n 33.742612777346885\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-25","publicationStatus":"PW","scienceBaseUri":"584bd0d9e4b077fc20250df2","chorus":{"doi":"10.1002/ecs2.1441","url":"http://dx.doi.org/10.1002/ecs2.1441","publisher":"Wiley-Blackwell","authors":"Earl Julia E., Fuhlendorf Samuel D., Haukos David, Tanner Ashley M., Elmore Dwayne, Carleton Scott A.","journalName":"Ecosphere","publicationDate":"8/2016"},"contributors":{"authors":[{"text":"Earl, Julia E.","contributorId":177320,"corporation":false,"usgs":false,"family":"Earl","given":"Julia","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuhlendorf, Samuel D.","contributorId":171488,"corporation":false,"usgs":false,"family":"Fuhlendorf","given":"Samuel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":655332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":655324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanner, Ashley M.","contributorId":177321,"corporation":false,"usgs":false,"family":"Tanner","given":"Ashley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elmore, Dwayne","contributorId":177322,"corporation":false,"usgs":false,"family":"Elmore","given":"Dwayne","email":"","affiliations":[],"preferred":false,"id":655334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":655335,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178864,"text":"70178864 - 2016 - Fishes in paleochannels of the Lower Mississippi River alluvial valley: A national treasure","interactions":[],"lastModifiedDate":"2018-02-28T14:33:29","indexId":"70178864","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Fishes in paleochannels of the Lower Mississippi River alluvial valley: A national treasure","docAbstract":"Fluvial geomorphology of the alluvial valley of the Lower Mississippi River reveals a fascinating history. A prominent occupant of the valley was the Ohio River, estimated to have flowed 25,000 years ago over western Tennessee and Mississippi to join the Mississippi River north of Baton Rouge, Louisiana, 750–800 km south of the present confluence. Over time, shifts in the Mississippi and Ohio rivers toward their contemporary positions have left a legacy of abandoned paleochannels supportive of unique fish assemblages. Relative to channels abandoned in the last 500 years, paleochannels exhibit harsher environmental conditions characteristic of hypereutrophic lakes and support tolerant fish assemblages. Considering their ecological, geological, and historical importance, coupled with their primordial scenery, the hundreds of paleochannels in the valley represent a national treasure. Altogether, these waterscapes are endangered by human activities and would benefit from the conservation attention afforded to our national parks and wildlife refuges.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2016.1219949","usgsCitation":"Miranda, L.E., 2016, Fishes in paleochannels of the Lower Mississippi River alluvial valley: A national treasure: Fisheries, v. 41, no. 10, p. 578-588, https://doi.org/10.1080/03632415.2016.1219949.","productDescription":"11 p.","startPage":"578","endPage":"588","ipdsId":"IP-069987","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/03632415.2016.1219949","text":"Publisher Index Page"},{"id":331810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Mississippi River valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.670654296875,\n 37.09900294387622\n ],\n [\n -88.22021484375,\n 36.60670888641815\n ],\n [\n -88.53881835937499,\n 35.817813158696616\n ],\n [\n -89.110107421875,\n 34.94899072578227\n ],\n [\n -89.69238281249999,\n 34.17090836352573\n ],\n [\n -90.010986328125,\n 33.55970664841198\n ],\n [\n -90.28564453124999,\n 32.85190345738802\n ],\n [\n -90.5712890625,\n 32.175612478499325\n ],\n [\n -90.5712890625,\n 31.512995857454676\n ],\n [\n -90.50537109375,\n 30.826780904779774\n ],\n [\n -89.736328125,\n 30.20211367909724\n ],\n [\n -89.439697265625,\n 29.7453016622136\n ],\n [\n -89.439697265625,\n 29.23847708592805\n ],\n [\n -90.28564453124999,\n 29.161755515328824\n ],\n [\n -90.95581054687499,\n 29.23847708592805\n ],\n [\n -91.549072265625,\n 29.420460341013133\n ],\n [\n -92.08740234375,\n 29.630771207229\n ],\n [\n -92.39501953125,\n 30.097613277217132\n ],\n [\n -92.471923828125,\n 30.56226095049944\n ],\n [\n -92.2412109375,\n 31.325486676506983\n ],\n [\n -92.054443359375,\n 31.71882222408327\n ],\n [\n -92.2412109375,\n 32.14771106595571\n ],\n [\n -92.17529296875,\n 32.565333160841035\n ],\n [\n -91.8896484375,\n 32.99945000822837\n ],\n [\n -91.8896484375,\n 33.458942753687644\n ],\n [\n -92.021484375,\n 33.93424531117312\n ],\n [\n -92.16430664062499,\n 34.298068350990825\n ],\n [\n -92.230224609375,\n 34.72355492704221\n ],\n [\n -91.58203125,\n 35.43381992014202\n ],\n [\n -90.87890625,\n 36.11125252076156\n ],\n [\n -90.780029296875,\n 36.359374956015856\n ],\n [\n -90.17578124999999,\n 37.09023980307208\n ],\n [\n -89.12109375,\n 37.309014074275915\n ],\n [\n -88.670654296875,\n 37.09900294387622\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"10","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-23","publicationStatus":"PW","scienceBaseUri":"584bd0d9e4b077fc20250df0","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":655369,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70178853,"text":"70178853 - 2016 - Adapting inland fisheries management to a changing climate","interactions":[],"lastModifiedDate":"2018-02-28T14:32:59","indexId":"70178853","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Adapting inland fisheries management to a changing climate","docAbstract":"Natural resource decision makers are challenged to adapt management to a changing climate while balancing short-term management goals with long-term changes in aquatic systems. Adaptation will require developing resilient ecosystems and resilient management systems. Decision makers already have tools to develop or ensure resilient aquatic systems and fisheries such as managing harvest and riparian zones. Because fisheries management often interacts with multiple stakeholders, adaptation strategies involving fisheries managers and other partners focused on land use, policy, and human systems, coupled with long-term monitoring, are necessary for resilient systems. We show how agencies and organizations are adapting to a changing climate in Minnesota and Ontario lakes and Montana streams. We also present how the Florida Fish and Wildlife Commission created a management structure to develop adaptation strategies. These examples demonstrate how organizations and agencies can cope with climate change effects on fishes and fisheries through creating resilient management and ecological systems.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2016.1185009","usgsCitation":"Paukert, C.P., Glazer, B.A., Hansen, G.J., Irwin, B.J., Jacobson, P.C., Kershner, J.L., Shuter, B.J., Whitney, J.E., and Lynch, A.J., 2016, Adapting inland fisheries management to a changing climate: Fisheries, v. 41, no. 7, p. 374-384, https://doi.org/10.1080/03632415.2016.1185009.","productDescription":"11 p.","startPage":"374","endPage":"384","ipdsId":"IP-069907","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":331804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"584bd0dae4b077fc20250df4","contributors":{"authors":[{"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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":655318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glazer, Bob A.","contributorId":177329,"corporation":false,"usgs":false,"family":"Glazer","given":"Bob","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":655351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":655352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobson, Peter C.","contributorId":177331,"corporation":false,"usgs":false,"family":"Jacobson","given":"Peter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":655353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":655354,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shuter, Brian J.","contributorId":29372,"corporation":false,"usgs":true,"family":"Shuter","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":655355,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whitney, James E.","contributorId":176500,"corporation":false,"usgs":false,"family":"Whitney","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655356,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lynch, Abigail J. 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":5645,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":655357,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70178870,"text":"70178870 - 2016 - Lesser prairie-chicken avoidance of trees in a grassland landscape","interactions":[],"lastModifiedDate":"2016-12-29T09:44:31","indexId":"70178870","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Lesser prairie-chicken avoidance of trees in a grassland landscape","docAbstract":"Grasslands are among the most imperiled ecosystems in North America. Reasons that grasslands are threatened include conversion to row-crop agriculture, fragmentation, and changes in fire regimes. The reduction of fire processes in remaining prairies has resulted in tree encroachment and establishment in grasslands, further reducing grassland quantity and quality. Grassland birds have been experiencing precipitous population declines in recent decades, commensurate with landscape changes to grasslands. The lesser prairie-chicken (Tympanuchus pallidicinctus Ridgway) is a declining species of prairie grouse of conservation concern. We used second- and third-order habitat selection metrics to test if female lesser prairie-chickens avoid grasslands where trees were present. Our results indicated that female lesser prairie-chickens selected habitats avoiding the nearest trees by 283 m on average, nearly twice as far as would be expected at random. Lesser prairie-chickens were 40 times more likely to use habitats with tree densities of 0 trees ∙ ha− 1 than habitats with 5 trees ∙ ha− 1. Probability of use indicated that lesser prairie-chickens were 19 times more likely to use habitats 1000 m from the nearest tree when compared with using habitats 0 m from the nearest tree. Nest survival was not affected at densities < 2 trees ∙ ha− 1; however, we could not test if nest survival was affected at greater tree densities as no nests were detected at densities > 2 trees ∙ ha− 1. Avoidance of trees could be due to perceived increased predation risk, reduced habitat quality, or a combination of these potentially confounding factors. Preventing further establishment and expansion of trees in landscapes occupied by lesser prairie-chickens could contribute to the continued persistence of the species. Additionally, restoring grasslands through tree removal may facilitate conservation efforts for grassland species such as the lesser prairie-chicken by improving habitat quality and promoting expansion of occupied range.
","language":"English","publisher":"Society for Range Management","publisherLocation":"Lakewood, CO","doi":"10.1016/j.rama.2016.07.008","usgsCitation":"Lautenbach, J.M., Plumb, R.T., Robinson, S.G., Hagen, C.A., Haukos, D.A., and Pitman, J.C., 2016, Lesser prairie-chicken avoidance of trees in a grassland landscape: Rangeland Ecology and Management, v. 70, no. 1, p. 78-86, https://doi.org/10.1016/j.rama.2016.07.008.","productDescription":"9 p.","startPage":"78","endPage":"86","ipdsId":"IP-070907","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2016.07.008","text":"Publisher Index Page"},{"id":331820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.45373535156249,\n 37.020098201368114\n ],\n [\n -99.45373535156249,\n 38.59540719940386\n ],\n [\n -97.93212890625,\n 38.59540719940386\n ],\n [\n -97.93212890625,\n 37.020098201368114\n ],\n [\n -99.45373535156249,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0d8e4b077fc20250dee","contributors":{"authors":[{"text":"Lautenbach, Joseph M.","contributorId":172788,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":655392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":655393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagen, Christian A.","contributorId":107574,"corporation":false,"usgs":true,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":655387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitman, James C.","contributorId":40529,"corporation":false,"usgs":true,"family":"Pitman","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":655395,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178705,"text":"sir20165125 - 2016 - Performance evaluation testing of wells in the gradient control system at a federally operated Confined Disposal Facility using single well aquifer tests, East Chicago, Indiana","interactions":[],"lastModifiedDate":"2016-12-08T08:14:53","indexId":"sir20165125","displayToPublicDate":"2016-12-08T08:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5125","title":"Performance evaluation testing of wells in the gradient control system at a federally operated Confined Disposal Facility using single well aquifer tests, East Chicago, Indiana","docAbstract":"The U.S. Geological Survey (USGS) performed tests to evaluate the hydrologic connection between the open interval of the well and the surrounding Calumet aquifer in response to fouling of extraction well pumps onsite. Two rounds of air slug testing were performed on seven monitoring wells and step drawdown and subsequent recovery tests on three extraction wells on a U.S. Army Corps of Engineers Confined Disposal Facility (CDF) in East Chicago, Indiana. The wells were tested in 2014 and again in 2015. The extraction and monitoring wells are part of the gradient control system that establishes an inward gradient around the perimeter of the facility. The testing established a set of protocols that site personnel can use to evaluate onsite well integrity and develop a maintenance procedure to evaluate future well performance.
The results of the slug test analysis data indicate that the hydraulic connection of the well screen to the surrounding aquifer material in monitoring wells on the CDF and the reliability of hydraulic conductivity estimates of the surrounding geologic media could be increased by implementing well development maintenance. Repeated air slug tests showed increasing hydraulic conductivity until, in the case of the monitoring wells located outside of the groundwater cutoff wall (MW–4B, MW–11B, MW–14B), the difference in hydraulic conductivity from test to test decreased, indicating the results were approaching the optimal hydraulic connection between the aquifer and the well screen. Hydraulic conductivity values derived from successive tests in monitoring well D40, approximately 0.25 mile south of the CDF, were substantially higher than those derived from wells on the CDF property. Also, values did not vary from test to test like those measured in monitoring wells located on the CDF property, which indicated that a process may be affecting the connectivity of the wells on the CDF property to the Calumet aquifer. Derived hydraulic conductivity values from the initial air slug test during the 2015 testing period for MW–11A and MW–14A are an order of magnitude less than those derived from the final test during the 2014 testing period indicating the development of a low conductivity skin between the final test of the 2014 testing period and the beginning of the 2015 testing period that created a decrease in the connection of the monitoring well screen to the surrounding aquifer material.
Repeated step drawdown and recovery testing of the extraction wells tested during this study provided results that indicate a slight increase in the development of a skin and a decrease in the connectivity of the extraction wells with the Calumet aquifer. Hydraulic conductivity values obtained from the test results were relatively similar in EW–4B and EW–14A but were substantially lower for EW–11C. This difference may be due to the presence of finer grained silt deposits in the area surrounding well nest 11. Skin factors calculated during the step drawdown and recovery analysis were lowest in EW–11C and relatively similar in EW–4B and EW–14A. Calculated skin factors increased slightly in the analysis of data collected in 2015 from that collected in 2014.
Comparisons of the specific-capacity values calculated from well development data collected following extraction well installation to those calculated during the single well aquifer tests at EW–4B, EW–14A and EW–11C indicate that the productivity of extraction wells on the CDF property has diminished since 2008. Values calculated for monitoring wells MW–4A, MW–11A, and MW–14A were used to evaluate the decrease in air slug derived hydraulic conductivity for monitoring wells within the groundwater cutoff wall between testing in 2014 and 2015.
Results from testing by this study indicate that implementation of an air slug testing regimen of the monitoring wells that control the gradient control system at the CDF throughout the course of a year may help sustain the connectivity between the monitoring wells and the surrounding aquifer and provide data to evaluate the need for different types of well development approaches to address chemical or biological fouling issues. Repeated step drawdown and recovery testing of the extraction wells tested during this study provided results that indicate a slight increase in the development of a skin and a decrease in the connectivity of the extraction wells with the Calumet aquifer. Implementation of a specific capacity testing regimen can provide data to record and track well condition through time for individual extraction wells. Results from aquifer testing by this study indicate that specific capacity test results, when paired with recovery testing, provide useful data to measure the development of any low conductivity wellbore skin through the skin factors derived for the individual extraction wells. An initial annual schedule of specific capacity and recovery tests would provide sufficient data to identify substantial short-term changes in the operating condition of the extraction wells.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165125","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Lampe, D.C., and Unthank, M.D., 2016, Performance evaluation testing of wells in the gradient control system at a federally operated Confined Disposal Facility using single well aquifer tests, East Chicago, Indiana: U.S. Geological Survey Scientific Investigations Report 2016–5125, 50 p., https://doi.org/10.3133/sir20165125.","productDescription":"Report: viii, 50 p.; Appendixes 1-2","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067101","costCenters":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":331511,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5125/coverthb.jpg"},{"id":331514,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5125/sir20165125_appendix2-aq-test.zip","text":"Appendix 2","size":"8.82 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Aquifer Test Field Log Sheets and Graphs of Aquifer-Test Data with Fitted Analytical-Solution Lines"},{"id":331512,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5125/sir20165125.pdf","text":"Report","size":"2.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5125"},{"id":331513,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5125/sir20165125_appendix1-slug-tests.zip","text":"Appendix 1 ","size":"8.46 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Air Slug Test Field Log Sheets and Graphs of Air Slug Test Data with Fitted Analytical-Solution Lines"}],"country":"United States","state":"Indiana","city":"East Chicago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.533333,\n 41.716667\n ],\n [\n -87.533333,\n 41.583333\n ],\n [\n -87.366667,\n 41.583333\n ],\n [\n -87.366667,\n 41.716667\n ],\n [\n -87.533333,\n 41.716667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana-Kentucky Water Science Center
5957 Lakeside Boulevard
Indianapolis IN 46278
http://in.water.usgs.gov
Despite 30 years of basin-wide nutrient-reduction efforts, severe hypoxia continues to be observed in the Chesapeake Bay. Here we demonstrate the critical influence of climate variability, interacting with accumulated nitrogen (N) over multidecades, on Susquehanna River dissolved nitrogen (DN) loads, known precursors of the hypoxia in the Bay. We used the process model LM3-TAN (Terrestrial and Aquatic Nitrogen), which is capable of capturing both seasonal and decadal-to-century changes in vegetation-soil-river N storage, and produced nine scenarios of DN-load distributions under different short-term scenarios of climate variability and extremes. We illustrate that after 1 to 3 yearlong dry spells, the likelihood of exceeding a threshold DN load (56 kt yr−1) increases by 40 to 65% due to flushing of N accumulated throughout the dry spells and altered microbial processes. Our analyses suggest that possible future increases in climate variability/extremes—specifically, high precipitation occurring after multiyear dry spells—could likely lead to high DN-load anomalies and hypoxia.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016GL069254","usgsCitation":"Lee, M., Shevliakova, E., Malyshev, S., Milly, P., and Jaffe, P.R., 2016, Climate variability and extremes, interacting with nitrogen storage, amplify eutrophication risk: Geophysical Research Letters, v. 43, no. 14, p. 7520-7528, https://doi.org/10.1002/2016GL069254.","startPage":"7520","endPage":"7528","ipdsId":"IP-075092","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470335,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl069254","text":"Publisher Index Page"},{"id":331671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","volume":"43","issue":"14","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-16","publicationStatus":"PW","scienceBaseUri":"584a7f7ce4b07e29c706dd31","contributors":{"authors":[{"text":"Lee, Minjin","contributorId":177261,"corporation":false,"usgs":false,"family":"Lee","given":"Minjin","email":"","affiliations":[],"preferred":false,"id":655221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shevliakova, Elena","contributorId":9596,"corporation":false,"usgs":true,"family":"Shevliakova","given":"Elena","affiliations":[],"preferred":false,"id":655222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malyshev, Sergey","contributorId":22175,"corporation":false,"usgs":true,"family":"Malyshev","given":"Sergey","affiliations":[],"preferred":false,"id":655223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milly, P. C. D.","contributorId":100489,"corporation":false,"usgs":true,"family":"Milly","given":"P. C. D.","affiliations":[],"preferred":false,"id":655224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaffe, Peter R.","contributorId":22503,"corporation":false,"usgs":true,"family":"Jaffe","given":"Peter","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":655225,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178810,"text":"70178810 - 2016 - Climate-driven increase of natural wetland methane emissions offset by human-induced wetland reduction in China over the past three decades","interactions":[],"lastModifiedDate":"2016-12-08T09:30:34","indexId":"70178810","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Climate-driven increase of natural wetland methane emissions offset by human-induced wetland reduction in China over the past three decades","docAbstract":"Both anthropogenic activities and climate change can affect the biogeochemical processes of natural wetland methanogenesis. Quantifying possible impacts of changing climate and wetland area on wetland methane (CH4) emissions in China is important for improving our knowledge on CH4 budgets locally and globally. However, their respective and combined effects are uncertain. We incorporated changes in wetland area derived from remote sensing into a dynamic CH4 model to quantify the human and climate change induced contributions to natural wetland CH4 emissions in China over the past three decades. Here we found that human-induced wetland loss contributed 34.3% to the CH4 emissions reduction (0.92 TgCH4), and climate change contributed 20.4% to the CH4 emissions increase (0.31 TgCH4), suggesting that decreasing CH4 emissions due to human-induced wetland reductions has offset the increasing climate-driven CH4 emissions. With climate change only, temperature was a dominant controlling factor for wetland CH4 emissions in the northeast (high latitude) and Qinghai-Tibet Plateau (high altitude) regions, whereas precipitation had a considerable influence in relative arid north China. The inevitable uncertainties caused by the asynchronous for different regions or periods due to inter-annual or seasonal variations among remote sensing images should be considered in the wetland CH4 emissions estimation.
","language":"English","publisher":"Macmillan Journals Ltd.","publisherLocation":"London","doi":"10.1038/srep38020","usgsCitation":"Zhu, Q., Peng, C., Liu, J., Jiang, H., Fang, X., Chen, H., Niu, Z., Gong, P., Lin, G., Wang, M., Yang, Y., Chang, J., Ge, Y., Xiang, W., Deng, X., and He, J., 2016, Climate-driven increase of natural wetland methane emissions offset by human-induced wetland reduction in China over the past three decades: Scientific Reports, v. 6, 38020; 7 p., https://doi.org/10.1038/srep38020.","productDescription":"38020; 7 p.","ipdsId":"IP-067732","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep38020","text":"Publisher Index 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Jin-Sheng","contributorId":177302,"corporation":false,"usgs":false,"family":"He","given":"Jin-Sheng","email":"","affiliations":[],"preferred":false,"id":655241,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70178803,"text":"70178803 - 2016 - Response comment: Carbon sequestration on Mars","interactions":[],"lastModifiedDate":"2016-12-08T09:15:40","indexId":"70178803","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Response comment: Carbon sequestration on Mars","docAbstract":"Martian atmospheric pressure has important implications for the past and present habitability of the planet, including the timing and causes of environmental change. The ancient Martian surface is strewn with evidence for early water bound in minerals (e.g., Ehlmann and Edwards, 2014) and recorded in surface features such as large catastrophically created outflow channels (e.g., Carr, 1979), valley networks (Hynek et al., 2010; Irwin et al., 2005), and crater lakes (e.g., Fassett and Head, 2008). Using orbital spectral data sets coupled with geologic maps and a set of numerical spectral analysis models, Edwards and Ehlmann (2015) constrained the amount of atmospheric sequestration in early Martian rocks and found that the majority of this sequestration occurred prior to the formation of the early Hesperian/late Noachian valley networks (Fassett and Head, 2011; Hynek et al., 2010), thus implying the atmosphere was already thin by the time these surface-water-related features were formed.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G37984Y.1","usgsCitation":"Edwards, C., and Ehlmann, B.L., 2016, Response comment: Carbon sequestration on Mars: Geology, v. 44, no. 6, e389; 1 p., https://doi.org/10.1130/G37984Y.1.","productDescription":"e389; 1 p.","ipdsId":"IP-075232","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":462001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g37984y.1","text":"Publisher Index Page"},{"id":331672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"44","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-23","publicationStatus":"PW","scienceBaseUri":"584a7f7de4b07e29c706dd35","contributors":{"authors":[{"text":"Edwards, Christopher cedwards@usgs.gov","contributorId":147768,"corporation":false,"usgs":true,"family":"Edwards","given":"Christopher","email":"cedwards@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":655155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ehlmann, Bethany L. 0000-0002-2745-3240","orcid":"https://orcid.org/0000-0002-2745-3240","contributorId":147154,"corporation":false,"usgs":false,"family":"Ehlmann","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":655156,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178792,"text":"70178792 - 2016 - Exposure to the contraceptive progestin, gestodene, alters reproductive behavior, arrests egg deposition, and masculinizes development in the fathead minnow (Pimephales promelas)","interactions":[],"lastModifiedDate":"2018-08-09T12:22:14","indexId":"70178792","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Exposure to the contraceptive progestin, gestodene, alters reproductive behavior, arrests egg deposition, and masculinizes development in the fathead minnow (Pimephales promelas)","docAbstract":"Endogenous progestogens and pharmaceutical progestins enter the environment through wastewater treatment plant effluent and agricultural field runoff. Lab studies demonstrate strong, negative exposure effects of these chemicals on aquatic vertebrate reproduction. Behavior can be a sensitive, early indicator of exposure to environmental contaminants associated with altered reproduction yet is rarely examined in ecotoxicology studies. Gestodene is a human contraceptive progestin and a potent activator of fish androgen receptors. Our objective was to test the effects of gestodene on reproductive behavior and associated egg deposition in the fathead minnow. After only 1 day, males exposed to ng/L of gestodene were more aggressive and less interested in courtship and mating, and exposed females displayed less female courtship behavior. Interestingly, 25% of the gestodene tanks contained a female that drove the male out of the breeding tile and displayed male-typical courtship behaviors toward the other female. Gestodene decreased or arrested egg deposition with no observed gonadal histopathology. Together, these results suggest that effects on egg deposition are primarily due to altered reproductive behavior. The mechanisms by which gestodene disrupts behavior are unknown. Nonetheless, the rapid and profound alterations of the reproductive biology of gestodene-exposed fish suggest that wild populations could be similarly affected.
","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/acs.est.6b00799","usgsCitation":"Frankel, T.E., Meyer, M.T., Kolpin, D.W., Gillis, A.B., Alvarez, D., and Orlando, E.F., 2016, Exposure to the contraceptive progestin, gestodene, alters reproductive behavior, arrests egg deposition, and masculinizes development in the fathead minnow (Pimephales promelas): Environmental Science & Technology, v. 50, no. 11, p. 5991-5999, https://doi.org/10.1021/acs.est.6b00799.","productDescription":"9 p.","startPage":"5991","endPage":"5999","ipdsId":"IP-070808","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":331670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-19","publicationStatus":"PW","scienceBaseUri":"584a7f7de4b07e29c706dd37","chorus":{"doi":"10.1021/acs.est.6b00799","url":"http://dx.doi.org/10.1021/acs.est.6b00799","publisher":"American Chemical Society (ACS)","authors":"Frankel Tyler E., Meyer Michael T., Kolpin Dana W., Gillis Amanda B., Alvarez David A., Orlando Edward F.","journalName":"Environmental Science & Technology","publicationDate":"6/7/2016"},"contributors":{"authors":[{"text":"Frankel, Tyler E.","contributorId":177293,"corporation":false,"usgs":false,"family":"Frankel","given":"Tyler","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":655217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillis, Amanda B.","contributorId":177294,"corporation":false,"usgs":false,"family":"Gillis","given":"Amanda","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":655218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez, David A. dalvarez@usgs.gov","contributorId":139231,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":655219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orlando, Edward F.","contributorId":177295,"corporation":false,"usgs":false,"family":"Orlando","given":"Edward","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":655220,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178813,"text":"70178813 - 2016 - Transport of hydraulic fracturing waste from Pennsylvania wells: A county-level analysis of road use and associated road repair costs","interactions":[],"lastModifiedDate":"2016-12-08T07:59:55","indexId":"70178813","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","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":"Transport of hydraulic fracturing waste from Pennsylvania wells: A county-level analysis of road use and associated road repair costs","docAbstract":"Pennsylvania’s rapid unconventional oil and gas (UOG) development—from a single well in 2004 to more than 6700 wells in 2013—has dramatically increased UOG waste transport by heavy trucks. This study quantified the amount of UOG waste and the distance it traveled between wells and disposal facilities on each type of road in each county between July 2010 and December 2013. In addition, the study estimated the associated financial costs to each county’s road infrastructure over that period. We found that UOG wells produced a median wastewater volume of 1294 m3 and a median of 89,267 kg of solid waste. The median number of waste-transport truck trips per well was 122. UOG wells existed in 38 Pennsylvania counties, but we estimated trucks transporting well waste traveled through 132 counties, including counties in West Virginia, Ohio, and New York. Median travel distance varied by disposal type, from 106 km to centralized treatment facilities up to 237 km to injection wells. Local roads experienced the greatest amount of truck traffic and associated costs ($1.1–6.5 M) and interstates, the least ($0.3–1.6 M). Counties with oil and gas development experienced the most truck traffic and incurred the highest associated roadway costs. However, many counties outside the active development area also incurred roadway repair costs, highlighting the extension of UOG development’s spatial footprint beyond the active development area. An online data visualization tool is available here: www.nicholasinstitute.duke.edu/transportation-of-hydraulic-fracturing-waste.
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\"}}]}","volume":"181","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584a7f7ae4b07e29c706dd2d","contributors":{"authors":[{"text":"Patterson, Lauren A.","contributorId":177289,"corporation":false,"usgs":false,"family":"Patterson","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":655208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178804,"text":"70178804 - 2016 - Global statistical maps of extreme-event magnetic observatory 1 min first differences in horizontal intensity","interactions":[],"lastModifiedDate":"2016-12-08T08:32:12","indexId":"70178804","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Global statistical maps of extreme-event magnetic observatory 1 min first differences in horizontal intensity","docAbstract":"Analysis is made of the long-term statistics of three different measures of ground level, storm time geomagnetic activity: instantaneous 1 min first differences in horizontal intensity ΔBh, the root-mean-square of 10 consecutive 1 min differences S, and the ramp change R over 10 min. Geomagnetic latitude maps of the cumulative exceedances of these three quantities are constructed, giving the threshold (nT/min) for which activity within a 24 h period can be expected to occur once per year, decade, and century. Specifically, at geomagnetic 55°, we estimate once-per-century ΔBh, S, and R exceedances and a site-to-site, proportional, 1 standard deviation range [1 σ, lower and upper] to be, respectively, 1000, [690, 1450]; 500, [350, 720]; and 200, [140, 280] nT/min. At 40°, we estimate once-per-century ΔBh, S, and R exceedances and 1 σ values to be 200, [140, 290]; 100, [70, 140]; and 40, [30, 60] nT/min.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016GL068664","usgsCitation":"Love, J.J., Coisson, P., and Pulkkinen, A., 2016, Global statistical maps of extreme-event magnetic observatory 1 min first differences in horizontal intensity: Geophysical Research Letters, v. 43, no. 9, p. 4126-4135, https://doi.org/10.1002/2016GL068664.","productDescription":"10 p.","startPage":"4126","endPage":"4135","ipdsId":"IP-074685","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470333,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl068664","text":"Publisher Index Page"},{"id":331669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-10","publicationStatus":"PW","scienceBaseUri":"584a7f7ce4b07e29c706dd33","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":655157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coisson, Pierdavide","contributorId":177260,"corporation":false,"usgs":false,"family":"Coisson","given":"Pierdavide","email":"","affiliations":[],"preferred":false,"id":655158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pulkkinen, Antti","contributorId":145703,"corporation":false,"usgs":false,"family":"Pulkkinen","given":"Antti","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":655159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178824,"text":"70178824 - 2016 - Predictors of current and longer-term patterns of abundance of American pikas (Ochotona princeps) across a leading-edge protected area","interactions":[],"lastModifiedDate":"2016-12-08T14:23:47","indexId":"70178824","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","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":"Predictors of current and longer-term patterns of abundance of American pikas (Ochotona princeps) across a leading-edge protected area","docAbstract":"American pikas (Ochotona princeps) have been heralded as indicators of montane-mammal response to contemporary climate change. Pikas no longer occupy the driest and lowest-elevation sites in numerous parts of their geographic range. Conversely, pikas have exhibited higher rates of occupancy and persistence in Rocky Mountain and Sierra Nevada montane ‘mainlands’. Research and monitoring efforts on pikas across the western USA have collectively shown the nuance and complexity with which climate will often act on species in diverse topographic and climatic contexts. However, to date no studies have investigated habitat, distribution, and abundance of pikas across hundreds of sites within a remote wilderness area. Additionally, relatively little is known about whether climate acts most strongly on pikas through direct or indirect (e.g., vegetation-mediated) mechanisms. During 2007–2009, we collectively hiked >16,000 km throughout the 410,077-ha Glacier National Park, Montana, USA, in an effort to identify topographic, microrefugial, and vegetative characteristics predictive of pika abundance. We identified 411 apparently pika-suitable habitat patches with binoculars (in situ), and surveyed 314 of them for pika signs. Ranking of alternative logistic-regression models based on AICc scores revealed that short-term pika abundances were positively associated with intermediate elevations, greater cover of mosses, and taller forbs, and decreased each year, for a total decline of 68% during the three-year study; whereas longer-term abundances were associated only with static variables (longitude, elevation, gradient) and were lower on north-facing slopes. Earlier Julian date and time of day of the survey (i.e., midday vs. not) were associated with lower observed pika abundance. We recommend that wildlife monitoring account for this seasonal and diel variation when surveying pikas. Broad-scale information on status and abundance determinants of montane mammals, especially for remote protected areas, is crucial for land and wildlife-resource managers trying to anticipate mammalian responses to climate change.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0167051","usgsCitation":"Moyer-Horner, L., Beever, E.A., Johnson, D.H., Beil, M., and Belt, J., 2016, Predictors of current and longer-term patterns of abundance of American pikas (Ochotona princeps) across a leading-edge protected area: PLoS ONE, v. 11, no. 11, e0167051; 25 p., https://doi.org/10.1371/journal.pone.0167051.","productDescription":"e0167051; 25 p.","ipdsId":"IP-076253","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470336,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0167051","text":"Publisher Index Page"},{"id":331727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","volume":"11","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-30","publicationStatus":"PW","scienceBaseUri":"584a7f78e4b07e29c706dd27","contributors":{"authors":[{"text":"Moyer-Horner, Lucas","contributorId":174453,"corporation":false,"usgs":false,"family":"Moyer-Horner","given":"Lucas","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":655274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":655275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":655276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beil, Mark","contributorId":177313,"corporation":false,"usgs":false,"family":"Beil","given":"Mark","email":"","affiliations":[],"preferred":false,"id":655277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belt, Jami","contributorId":177314,"corporation":false,"usgs":false,"family":"Belt","given":"Jami","affiliations":[],"preferred":false,"id":655278,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178822,"text":"70178822 - 2016 - Transformations to granular zircon revealed: Twinning, reidite, and ZrO2 in shocked zircon from Meteor Crater (Arizona, USA)","interactions":[],"lastModifiedDate":"2019-02-18T09:59:17","indexId":"70178822","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Transformations to granular zircon revealed: Twinning, reidite, and ZrO2 in shocked zircon from Meteor Crater (Arizona, USA)","docAbstract":"Granular zircon in impact environments has long been recognized but remains poorly understood due to lack of experimental data to identify mechanisms involved in its genesis. Meteor Crater in Arizona (United States) contains abundant evidence of shock metamorphism, including shocked quartz, the high pressure polymorphs coesite and stishovite, diaplectic SiO2 glass, and lechatelierite (fused SiO2). Here we report the presence of granular zircon, a new shocked mineral discovery at Meteor Crater, that preserve critical orientation evidence of specific transformations that occurred during its formation at extreme impact conditions. The zircon grains occur as aggregates of sub-µm neoblasts in highly shocked Coconino Formation Sandstone (CFS) comprised of lechatelierite. Electron backscatter diffraction shows that each grain consists of multiple domains, some with boundaries disoriented by 65°<110>, a known {112} shock-twin orientation. Other domains have crystallographic c-axes in alignment with {110} of neighboring domains, consistent with the former presence of the high pressure ZrSiO4 polymorph reidite. Additionally, nearly all zircon preserve ZrO2 + SiO2, providing evidence of partial dissociation. The genesis of CFS granular zircon started with detrital zircon that experienced shock-twinning and reidite formation from 20 to 30 GPa, ultimately yielding a phase that retained crystallographic memory; this phase subsequently recrystallized to systematically oriented zircon neoblasts, and in some areas partially dissociated to ZrO2. The lechatelierite matrix, experimentally constrained to form at >2000 °C, provided an ultra high-temperature environment for zircon dissociation (~1670 °C) and neoblast formation. The capacity of granular zircon to preserve a cumulative P-T record has not been recognized previously, and provides a new method for retrieving histories of impact-related mineral transformations in the crust at conditions far beyond which most rocks melt.","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G38043.1","usgsCitation":"Cavosie, A., Timms, N.E., Erickson, T.M., Hagerty, J., and Horz, F., 2016, Transformations to granular zircon revealed: Twinning, reidite, and ZrO2 in shocked zircon from Meteor Crater (Arizona, USA): Geology, v. 44, no. 9, p. 703-706, https://doi.org/10.1130/G38043.1.","productDescription":"4 p.","startPage":"703","endPage":"706","ipdsId":"IP-072767","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":470338,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g38043.1","text":"Publisher Index Page"},{"id":331697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Meteor Crater","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.015,\n 35.033333\n ],\n [\n -111.015,\n 35.021667\n ],\n [\n -111.03,\n 35.021667\n ],\n [\n -111.03,\n 35.033333\n ],\n [\n -111.015,\n 35.033333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"584a7f78e4b07e29c706dd29","contributors":{"authors":[{"text":"Cavosie, Aaron","contributorId":177307,"corporation":false,"usgs":false,"family":"Cavosie","given":"Aaron","affiliations":[],"preferred":false,"id":655261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Timms, Nicholas E.","contributorId":177308,"corporation":false,"usgs":false,"family":"Timms","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Timmons M.","contributorId":177309,"corporation":false,"usgs":false,"family":"Erickson","given":"Timmons","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":655260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horz, Friedrich","contributorId":177310,"corporation":false,"usgs":false,"family":"Horz","given":"Friedrich","email":"","affiliations":[],"preferred":false,"id":655264,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178821,"text":"70178821 - 2016 - Detecting seasonal landslide movement within the Cascade landslide complex (Washington) using time-series SAR imagery","interactions":[],"lastModifiedDate":"2016-12-08T13:19:54","indexId":"70178821","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Detecting seasonal landslide movement within the Cascade landslide complex (Washington) using time-series SAR imagery","docAbstract":"Detection of slow or limited landslide movement within broad areas of forested terrain has long been problematic, particularly for the Cascade landslide complex (Washington) located along the Columbia River Gorge. Although parts of the landslide complex have been found reactivated in recent years, the timing and magnitude of motion have not been systematically monitored or interpreted. Here we apply novel time-series strategies to study the spatial distribution and temporal behavior of the landslide movement between 2007 and 2011 using InSAR images from two overlapping L-band ALOS PALSAR-1 satellite tracks. Our results show that the reactivated part has moved approximately 700 mm downslope during the 4-year observation period, while other parts of the landslide complex have generally remained stable. However, we also detect about 300 mm of seasonal downslope creep in a terrain block upslope of the Cascade landslide complex—terrain previously thought to be stable. The temporal oscillation of the seasonal movement can be correlated with precipitation, implying that seasonal movement here is hydrology-driven. The seasonal movement also has a frequency similar to GPS-derived regional ground oscillations due to mass loading by stored rainfall and subsequent rebound but with much smaller magnitude, suggesting different hydrological loading effects. From the time-series amplitude information on terrain upslope of the headscarp, we also re-evaluate the incipient motion related to the 2008 Greenleaf Basin rock avalanche, not previously recognized by traditional SAR/InSAR methods. The approach used in this study can be used to identify active landslides in forested terrain, to track the seasonal movement of landslides, and to identify previously unknown landslide hazards.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.rse.2016.10.006","usgsCitation":"Hu, X., Wang, T., Pierson, T.C., Lu, Z., Kim, J., and Cecere, T., 2016, Detecting seasonal landslide movement within the Cascade landslide complex (Washington) using time-series SAR imagery: Remote Sensing of Environment, v. 187, p. 49-61, https://doi.org/10.1016/j.rse.2016.10.006.","productDescription":"13 p.","startPage":"49","endPage":"61","ipdsId":"IP-076124","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.10.006","text":"Publisher Index Page"},{"id":331704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cascade Landslide Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122,\n 45.733333\n ],\n [\n -122,\n 45.633333\n ],\n [\n -121.85,\n 45.633333\n ],\n [\n -121.85,\n 45.733333\n ],\n [\n -122,\n 45.733333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"187","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584a7f79e4b07e29c706dd2b","chorus":{"doi":"10.1016/j.rse.2016.10.006","url":"http://dx.doi.org/10.1016/j.rse.2016.10.006","publisher":"Elsevier BV","authors":"Hu Xie, Wang Teng, Pierson Thomas C., Lu Zhong, Kim Jinwoo, Cecere Thomas H.","journalName":"Remote Sensing of Environment","publicationDate":"12/2016"},"contributors":{"authors":[{"text":"Hu, Xie","contributorId":177306,"corporation":false,"usgs":false,"family":"Hu","given":"Xie","email":"","affiliations":[],"preferred":false,"id":655265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Teng","contributorId":156235,"corporation":false,"usgs":false,"family":"Wang","given":"Teng","email":"","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":655266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierson, Thomas C. 0000-0001-9002-4273 tpierson@usgs.gov","orcid":"https://orcid.org/0000-0001-9002-4273","contributorId":2498,"corporation":false,"usgs":true,"family":"Pierson","given":"Thomas","email":"tpierson@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":655267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":655268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kim, Jin-Woo","contributorId":69486,"corporation":false,"usgs":true,"family":"Kim","given":"Jin-Woo","affiliations":[],"preferred":false,"id":655269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cecere, Thomas H.","contributorId":177312,"corporation":false,"usgs":false,"family":"Cecere","given":"Thomas H.","affiliations":[],"preferred":false,"id":655270,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178057,"text":"ofr20161184 - 2016 - Estimated historical distribution of grassland communities of the Southern Great Plains","interactions":[],"lastModifiedDate":"2018-08-10T16:15:04","indexId":"ofr20161184","displayToPublicDate":"2016-12-07T17:00:00","publicationYear":"2016","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":"2016-1184","title":"Estimated historical distribution of grassland communities of the Southern Great Plains","docAbstract":"The purpose of this project was to map the estimated distribution of grassland communities of the Southern Great Plains prior to Euro-American settlement. The Southern Great Plains Rapid Ecoregional Assessment (REA), under the direction of the Bureau of Land Management and the Great Plains Landscape Conservation Cooperative, includes four ecoregions: the High Plains, Central Great Plains, Southwestern Tablelands, and the Nebraska Sand Hills. The REA advisors and stakeholders determined that the mapping accuracy of available national land-cover maps was insufficient in many areas to adequately address management questions for the REA. Based on the recommendation of the REA stakeholders, we estimated the potential historical distribution of 10 grassland communities within the Southern Great Plains project area using data on soils, climate, and vegetation from the Natural Resources Conservation Service (NRCS) including the Soil Survey Geographic Database (SSURGO) and Ecological Site Information System (ESIS). The dominant grassland communities of the Southern Great Plains addressed as conservation elements for the REA area are shortgrass, mixed-grass, and sand prairies. We also mapped tall-grass, mid-grass, northwest mixed-grass, and cool season bunchgrass prairies, saline and foothill grasslands, and semi-desert grassland and steppe. Grassland communities were primarily defined using the annual productivity of dominant species in the ESIS data. The historical grassland community classification was linked to the SSURGO data using vegetation types associated with the predominant component of mapped soil units as defined in the ESIS data. We augmented NRCS data with Landscape Fire and Resource Management Planning Tools (LANDFIRE) Biophysical Settings classifications 1) where NRCS data were unavailable and 2) where fifth-level watersheds intersected the boundary of the High Plains ecoregion in Wyoming. Spatial data representing the estimated historical distribution of grassland communities of the Southern Great Plains are provided as a 30 x 30-meter gridded surface (raster dataset). This information will help to address the priority management questions for grassland communities for the Southern Great Plains REA and can be used to inform other regional-level land management decisions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161184","collaboration":"Prepared in cooperation with the Bureau of Land Management and the Great Plains Landscape Conservation Cooperative","usgsCitation":"Reese, G.C., Manier, D.J., Carr, N.B., Callan, Ramana, Leinwand, I.I.F., Assal, T.J., Burris, Lucy, and Ignizio, D.A., 2016, Estimated historical distribution of grassland communities of the Southern Great Plains: U.S. Geological Survey Open-File Report 2016–1184, 13 p., https://doi.org/10.3133/ofr20161184. ","productDescription":"Report: v, 13 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-077037","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":438494,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71Z42J3","text":"USGS data release","linkHelpText":"Estimated distribution of historical grassland communities of the Southern Great Plains"},{"id":331479,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F71Z42J3","text":"Estimated historical distribution of grassland communities of the Southern Great Plains","size":"228.75 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2016-1184 Data Release"},{"id":331184,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1184/coverthb.jpg"},{"id":331185,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1184/ofr20161184.pdf","text":"Report","size":"3.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1184"}],"country":"United States","otherGeospatial":"Southern Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109,\n 30\n ],\n [\n -109,\n 43.5\n ],\n [\n -94,\n 43.5\n ],\n [\n -94,\n 30\n ],\n [\n -109,\n 30\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Center Director, USGS Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
The U.S. Geological Survey collects groundwater data and conducts studies to monitor hydrologic conditions, better define groundwater resources, and address problems related to water supply, water use, and water quality. In Georgia, water levels were monitored continuously at 181 wells during calendar year 2012, 185 wells during calendar year 2013, and at 171 wells during calendar year 2014. Because of missing data or short periods of record (less than 3 years) for several of these wells, a total of 164 wells are discussed in this report. These wells include 17 in the surficial aquifer system, 18 in the Brunswick aquifer system and equivalent sediments, 68 in the Upper Floridan aquifer, 15 in the Lower Floridan aquifer and underlying units, 10 in the Claiborne aquifer, 1 in the Gordon aquifer, 11 in the Clayton aquifer, 16 in the Cretaceous aquifer system, 2 in Paleozoic-rock aquifers, and 6 in crystalline-rock aquifers. Data from the well network indicate that water levels generally rose during the 2012 through 2014 calendar-year period, with water levels rising in 151 wells, declining in 12, and remained about the same in 1. Water levels declined over the long-term period of record at 94 wells, increased at 60 wells, and remained relatively constant at 10 wells.
In addition to continuous water-level data, periodic water-level measurements were collected and used to construct potentiometric-surface maps for the Upper Floridan aquifer in the following areas in Georgia: the Brunswick-Glynn County area during August 2012 and October 2014 and in the Albany-Dougherty County area during November 2012 and November 2014. Periodic water-level measurements were also collected and used to construct potentiometric surface maps for the Cretaceous aquifer system in the Augusta-Richmond County area during August 2012 and July 2014. In general, water levels in these areas were higher during 2014 than during 2012; however, the configuration of the potetiometric surface in each of the areas showed little change.
In the Brunswick area, maps showing chloride concentration of water in the Upper Floridan aquifer (constructed using data collected from 25 wells during August 2012 and from 32 wells during October 2014) indicate that chloride concentrations remained above the U.S. Environmental Protection Agency's secondary drinking-water standard in an approximately 2-square-mile area. During calendar years 2012 through 2014, chloride concentrations generally increased in over 90 percent of the wells sampled with a maximum increase of 410 milligrams per liter in a well located in the north-central part of the Brunswick area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165161","usgsCitation":"Peck, M.F., and Painter, J.A., 2016, Groundwater conditions in Georgia, 2012–14: U.S. Geological Survey Scientific Investigations Report 2016–5161, 55 p., https://doi.org/10.3133/sir20165161. 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\"}}]}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road
Columbia, SC 29210
http://www.usgs.gov/water/southatlantic/
Animal movement strategies including migration, dispersal, nomadism, and residency are shaped by broad-scale spatial-temporal structuring of the environment, including factors such as the degrees of spatial variation, seasonality and inter-annual predictability. Animal movement strategies, in turn, interact with the characteristics of individuals and the local distribution of resources to determine local patterns of resource selection with complex and poorly understood implications for animal fitness. Here we present a multi-scale investigation of animal movement strategies and resource selection. We consider the degree to which spatial variation, seasonality, and inter-annual predictability in resources drive migration patterns among different taxa and how movement strategies in turn shape local resource selection patterns. We focus on adult Galapagos giant tortoises Chelonoidis spp. as a model system since they display many movement strategies and evolved in the absence of predators of adults. Specifically, our analysis is based on 63 individuals among four taxa tracked on three islands over six years and almost 106 tortoise re-locations. Tortoises displayed a continuum of movement strategies from migration to sedentarism that were linked to the spatio-temporal scale and predictability of resource distributions. Movement strategies shaped patterns of resource selection. Specifically, migratory individuals displayed stronger selection toward areas where resources were more predictable among years than did non-migratory individuals, which indicates a selective advantage for migrants in seasonally structured, more predictable environments. Our analytical framework combines large-scale predictions for movement strategies, based on environmental structuring, with finer-scale analysis of space-use. Integrating different organizational levels of analysis provides a deeper understanding of the eco-evolutionary dynamics at play in the emergence and maintenance of migration and the critical role of resource predictability. Our results highlight that assessing the potential benefits of differential behavioral responses first requires an understanding of the interactions among movement strategies, resource selection and individual characteristics.
","language":"English","publisher":"Wiley","doi":"10.1111/oik.03928","usgsCitation":"Bastille-Rousseau, G., Gibbs, J.P., Yackulic, C.B., Frair, J.L., Cabrera, F., and Rousseau, L., 2016, Animal movement in the absence of predation: environmental drivers of movement strategies in a partial migration system: Oikos, v. 126, no. 7, p. 1004-1019, https://doi.org/10.1111/oik.03928.","productDescription":"16 p.","startPage":"1004","endPage":"1019","ipdsId":"IP-077124","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470339,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-0-397949","text":"External Repository"},{"id":331621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-23","publicationStatus":"PW","scienceBaseUri":"58492df1e4b06d80b7b0939e","contributors":{"authors":[{"text":"Bastille-Rousseau, Guillaume","contributorId":169986,"corporation":false,"usgs":false,"family":"Bastille-Rousseau","given":"Guillaume","affiliations":[{"id":25645,"text":"State Uni. of New York","active":true,"usgs":false}],"preferred":false,"id":655080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs, James P.","contributorId":102418,"corporation":false,"usgs":false,"family":"Gibbs","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":655081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":655082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frair, Jacqueline L.","contributorId":140184,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline","email":"","middleInitial":"L.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":655083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cabrera, Fredy","contributorId":139278,"corporation":false,"usgs":false,"family":"Cabrera","given":"Fredy","affiliations":[{"id":12718,"text":"Charles Darwin Foundation","active":true,"usgs":false}],"preferred":false,"id":655084,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rousseau, Louis-Philippe","contributorId":177206,"corporation":false,"usgs":false,"family":"Rousseau","given":"Louis-Philippe","email":"","affiliations":[],"preferred":false,"id":655085,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178758,"text":"70178758 - 2016 - The Carolina Sandhills: Quaternary eolian sand sheets and dunes along the updip margin of the Atlantic Coastal Plain province, southeastern United States","interactions":[],"lastModifiedDate":"2016-12-07T11:15:30","indexId":"70178758","displayToPublicDate":"2016-12-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"The Carolina Sandhills: Quaternary eolian sand sheets and dunes along the updip margin of the Atlantic Coastal Plain province, southeastern United States","docAbstract":"The Carolina Sandhills is a physiographic region of the Atlantic Coastal Plain province in the southeastern United States. In Chesterfield County (South Carolina), the surficial sand of this region is the Pinehurst Formation, which is interpreted as eolian sand derived from the underlying Cretaceous Middendorf Formation. This sand has yielded three clusters of optically stimulated luminescence ages: (1) 75 to 37 thousand years ago (ka), coincident with growth of the Laurentide Ice Sheet; (2) 28 to 18 ka, coincident with the last glacial maximum (LGM); and (3) 12 to 6 ka, mostly coincident with the Younger Dryas through final collapse of the Laurentide Ice Sheet. Relict dune morphologies are consistent with winds from the west or northwest, coincident with modern and inferred LGM January wind directions. Sand sheets are more common than dunes because of effects of coarse grain size (mean range: 0.35–0.59 mm) and vegetation. The coarse grain size would have required LGM wind velocities of at least 4–6 m/sec, accounting for effects of colder air temperatures on eolian sand transport. The eolian interpretation of the Carolina Sandhills is consistent with other evidence for eolian activity in the southeastern United States during the last glaciation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.yqres.2016.08.007","usgsCitation":"Swezey, C.S., Fitzwater, B.A., Whittecar, G.R., Mahan, S.A., Garrity, C.P., Aleman-Gonzalez, W.B., and Dobbs, K.M., 2016, The Carolina Sandhills: Quaternary eolian sand sheets and dunes along the updip margin of the Atlantic Coastal Plain province, southeastern United States: Quaternary Research, v. 86, no. 3, p. 271-286, https://doi.org/10.1016/j.yqres.2016.08.007.","productDescription":"16 p.","startPage":"271","endPage":"286","ipdsId":"IP-072092","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":331620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"58492df1e4b06d80b7b0939c","contributors":{"authors":[{"text":"Swezey, Christopher S. 0000-0003-4019-9264 cswezey@usgs.gov","orcid":"https://orcid.org/0000-0003-4019-9264","contributorId":173033,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher","email":"cswezey@usgs.gov","middleInitial":"S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":655055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzwater, Bradley A.","contributorId":177211,"corporation":false,"usgs":false,"family":"Fitzwater","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittecar, G. Richard","contributorId":177212,"corporation":false,"usgs":false,"family":"Whittecar","given":"G.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":655057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":655058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrity, Christopher P. 0000-0002-5565-1818 cgarrity@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":644,"corporation":false,"usgs":true,"family":"Garrity","given":"Christopher","email":"cgarrity@usgs.gov","middleInitial":"P.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":655059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aleman-Gonzalez, Wilma B. 0000-0003-3156-0126 waleman@usgs.gov","orcid":"https://orcid.org/0000-0003-3156-0126","contributorId":2530,"corporation":false,"usgs":true,"family":"Aleman-Gonzalez","given":"Wilma","email":"waleman@usgs.gov","middleInitial":"B.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":655060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dobbs, Kerby M.","contributorId":177220,"corporation":false,"usgs":false,"family":"Dobbs","given":"Kerby","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655061,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70178761,"text":"70178761 - 2016 - Determining the spatial variability of wetland soil bulk density, organic matter, and the conversion factor between organic matter and organic carbon across coastal Louisiana, U.S.A.","interactions":[],"lastModifiedDate":"2017-05-09T14:49:30","indexId":"70178761","displayToPublicDate":"2016-12-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Determining the spatial variability of wetland soil bulk density, organic matter, and the conversion factor between organic matter and organic carbon across coastal Louisiana, U.S.A.","docAbstract":"Soil bulk density (BD), soil organic matter (SOM) content, and a conversion factor between SOM and soil organic carbon (SOC) are often used in estimating SOC sequestration and storage. Spatial variability in BD, SOM, and the SOM–SOC conversion factor affects the ability to accurately estimate SOC sequestration, storage, and the benefits (e.g., land building area and vertical accretion) associated with wetland restoration efforts, such as marsh creation and sediment diversions. There are, however, only a few studies that have examined large-scale spatial variability in BD, SOM, and SOM–SOC conversion factors in coastal wetlands. In this study, soil cores, distributed across the entire coastal Louisiana (approximately 14,667 km2) were used to examine the regional-scale spatial variability in BD, SOM, and the SOM–SOC conversion factor. Soil cores for BD and SOM analyses were collected during 2006–09 from 331 spatially well-distributed sites in the Coastwide Reference Monitoring System network. Soil cores for the SOM–SOC conversion factor analysis were collected from 15 sites across coastal Louisiana during 2006–07. Results of a split-plot analysis of variance with incomplete block design indicated that BD and SOM varied significantly at a landscape level, defined by both hydrologic basins and vegetation types. Vertically, BD and SOM varied significantly among different vegetation types. The SOM–SOC conversion factor also varied significantly at the landscape level. This study provides critical information for the assessment of the role of coastal wetlands in large regional carbon budgets and the estimation of carbon credits from coastal restoration.
","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-16-00014.1","usgsCitation":"Wang, H., Piazza, S.C., Sharp, L., Stagg, C.L., Couvillion, B.R., Steyer, G.D., and McGinnis, T., 2016, Determining the spatial variability of wetland soil bulk density, organic matter, and the conversion factor between organic matter and organic carbon across coastal Louisiana, U.S.A.: Journal of Coastal Research, v. 33, no. 3, p. 507-517, https://doi.org/10.2112/JCOASTRES-D-16-00014.1.","productDescription":"11 p.","startPage":"507","endPage":"517","ipdsId":"IP-069286","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","volume":"33","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58492df0e4b06d80b7b09398","contributors":{"authors":[{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":140432,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":655067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piazza, Sarai C. 0000-0001-6962-9008 piazzas@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":466,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","email":"piazzas@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":655068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharp, Leigh A.","contributorId":43879,"corporation":false,"usgs":true,"family":"Sharp","given":"Leigh A.","affiliations":[],"preferred":false,"id":655069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":655070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":655071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":655072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGinnis, Thomas E.","contributorId":92959,"corporation":false,"usgs":true,"family":"McGinnis","given":"Thomas E.","affiliations":[],"preferred":false,"id":655073,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192017,"text":"70192017 - 2016 - Hydrogeology of Virginia","interactions":[],"lastModifiedDate":"2018-02-12T13:13:22","indexId":"70192017","displayToPublicDate":"2016-12-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5623,"text":"Virginia Museum of Natural History Special Publication","active":true,"publicationSubtype":{"id":24}},"title":"Hydrogeology of Virginia","docAbstract":"The hydrogeology of Virginia documented herein is in two parts. Part 1 consists of an overview and description of the hydrogeology within each regional aquifer system in the Commonwealth. Part 2 includes discussions of hydrogeologic research topics of current relevance including: 1. the Chesapeake Bay impact structure, 2. subsidence/compaction in the Coastal Plain, 3. groundwater age and aquifer susceptibility, 4. the occurrence of groundwater at depth in fractured-rock and karst terrains, and 5. hydrologic response of wells to earthquakes around the world.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The geology of Virginia (Virginia Museum of Natural History Special Publication 18)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"The Virginia Museum of Natural History","publisherLocation":"Martinsville, VA","isbn":"1-884549-40-3","usgsCitation":"Nelms, D.L., Harlow, G., and Bruce, T.S., 2016, Hydrogeology of Virginia, chap. of The geology of Virginia (Virginia Museum of Natural History Special Publication 18): Virginia Museum of Natural History Special Publication, p. 315-340.","productDescription":"26 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