{"pageNumber":"427","pageRowStart":"10650","pageSize":"25","recordCount":40802,"records":[{"id":70189327,"text":"70189327 - 2017 - Downscaling wind and wavefields for 21st century coastal flood hazard projections in a region of complex terrain","interactions":[],"lastModifiedDate":"2017-07-11T13:09:40","indexId":"70189327","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling wind and wavefields for 21st century coastal flood hazard projections in a region of complex terrain","docAbstract":"

While global climate models (GCMs) provide useful projections of near-surface wind vectors into the 21st century, resolution is not sufficient enough for use in regional wave modeling. Statistically downscaled GCM projections from Multivariate Adaptive Constructed Analogues provide daily averaged near-surface winds at an appropriate spatial resolution for wave modeling within the orographically complex region of San Francisco Bay, but greater resolution in time is needed to capture the peak of storm events. Short-duration high wind speeds, on the order of hours, are usually excluded in statistically downscaled climate models and are of key importance in wave and subsequent coastal flood modeling. Here we present a temporal downscaling approach, similar to constructed analogues, for near-surface winds suitable for use in local wave models and evaluate changes in wind and wave conditions for the 21st century. Reconstructed hindcast winds (1975–2004) recreate important extreme wind values within San Francisco Bay. A computationally efficient method for simulating wave heights over long time periods was used to screen for extreme events. Wave hindcasts show resultant maximum wave heights of 2.2 m possible within the Bay. Changes in extreme over-water wind speeds suggest contrasting trends within the different regions of San Francisco Bay, but 21th century projections show little change in the overall magnitude of extreme winds and locally generated waves.

","language":"English","publisher":"AGU","doi":"10.1002/2016EA000193","usgsCitation":"O'Neill, A., Erikson, L.H., and Barnard, P., 2017, Downscaling wind and wavefields for 21st century coastal flood hazard projections in a region of complex terrain: Earth and Space Science, v. 4, no. 5, p. 314-334, https://doi.org/10.1002/2016EA000193.","productDescription":"21 p.","startPage":"314","endPage":"334","ipdsId":"IP-075780","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016ea000193","text":"Publisher Index Page"},{"id":343574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.06610107421876,\n 37.411618795843026\n ],\n [\n -121.86035156249999,\n 37.411618795843026\n ],\n [\n -121.86035156249999,\n 38.16911413556086\n ],\n [\n -123.06610107421876,\n 38.16911413556086\n ],\n [\n -123.06610107421876,\n 37.411618795843026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-24","publicationStatus":"PW","scienceBaseUri":"5965b1b8e4b0d1f9f05b379a","contributors":{"authors":[{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":704188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":704189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":704190,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193526,"text":"70193526 - 2017 - Population dynamics of brown trout (Salmo trutta) in Spruce Creek Pennsylvania: A quarter-century perspective","interactions":[],"lastModifiedDate":"2017-11-14T14:17:27","indexId":"70193526","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Population dynamics of brown trout (Salmo trutta) in Spruce Creek Pennsylvania: A quarter-century perspective","title":"Population dynamics of brown trout (Salmo trutta) in Spruce Creek Pennsylvania: A quarter-century perspective","docAbstract":"
  1. We examined the relationship between density-independent and density-dependent factors on the demography of a dense, relatively unexploited population of brown trout in Spruce Creek Pennsylvania between 1985 and 2011.
  2. Individual PCAs of flow and temperature data elucidated groups of years with multiple high flow versus multiple low flow characteristics and high versus low temperature years, although subtler patterns of variation also were observed.
  3. Density and biomass displayed similar temporal patterns, ranging from 710 to 1,803 trout/ha and 76–263 kg/ha. We detected a significantly negative linear stock-recruitment relationship (R2 = .39) and there was no evidence that flow or water temperature affected recruitment.
  4. Both annual survival and the per-capita rate of increase (r) for the population varied over the study, and density-dependent mechanisms possessed the greatest explanatory power for annual survival data. Temporal trends in population r suggested it displayed a bounded equilibrium with increases observed in 12 years and decreases detected in 13 years.
  5. Model selection analysis of per-capita rate of increase data for age 1, and adults (N = eight interpretable models) indicated that both density-dependent (five of eight) and negative density-independent processes (five of eight, i.e. high flows or temperatures), affected r. Recruitment limitation also was identified in three of eight models. Variation in the per-capita rate of increase for the population was most strongly affected by positive density independence in the form of increasing spring–summer temperatures and recruitment limitation.
  6. Model selection analyses describing annual variation in both mean length and mass data yielded similar results, although maximum wi values were low ranging from 0.09 to 0.23 (length) and 0.13 to 0.22 (mass). Density-dependence was included in 15 of 15 interpretable models for length and all ten interpretable models for mass. Similarly, positive density-independent effects in the form of increasing autumn–winter flow were present in seven of 15 interpretable models for length and five of ten interpretable models for mass. Negative density independent effects also were observed in the form of high spring–summer flows or temperatures (N = 4), or high autumn–winter temperatures (N = 1).
  7. Our analyses of the factors affecting population regulation in an introduced population of brown trout demonstrate that density-dependent forces affected every important demographic characteristic (recruitment, survivorship, the rate of increase, and size) within this population. However, density-independent forces in the form of seasonal variations in flow and temperature also helped explain annual variation in the per-capita rate of increase, and mean length and mass data. Consequently, population regulation within this population is driven by a complex of biotic and environmental factors, although it seems clear that density-dependent factors play a dominant role.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12932","usgsCitation":"Grossman, G.D., Carline, R.F., and Wagner, T., 2017, Population dynamics of brown trout (Salmo trutta) in Spruce Creek Pennsylvania: A quarter-century perspective: Freshwater Biology, v. 62, no. 7, p. 1143-1154, https://doi.org/10.1111/fwb.12932.","productDescription":"12 p.","startPage":"1143","endPage":"1154","ipdsId":"IP-082555","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Spruce Creek","volume":"62","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"5a60fb8ee4b06e28e9c23280","contributors":{"authors":[{"text":"Grossman, Gary D.","contributorId":14106,"corporation":false,"usgs":true,"family":"Grossman","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":722061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carline, Robert F.","contributorId":102442,"corporation":false,"usgs":true,"family":"Carline","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":722062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196229,"text":"70196229 - 2017 - Genetic assessment of the effects of streamscape succession on coho salmon Oncorhynchus kisutch colonization in recently deglaciated streams","interactions":[],"lastModifiedDate":"2018-08-19T10:06:42","indexId":"70196229","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic assessment of the effects of streamscape succession on coho salmon Oncorhynchus kisutch colonization in recently deglaciated streams","title":"Genetic assessment of the effects of streamscape succession on coho salmon Oncorhynchus kisutch colonization in recently deglaciated streams","docAbstract":"

Measures of genetic diversity within and among populations and historical geomorphological data on stream landscapes were used in model simulations based on approximate Bayesian computation (ABC) to examine hypotheses of the relative importance of stream features (geomorphology and age) associated with colonization events and gene flow for coho salmon Oncorhynchus kisutch breeding in recently deglaciated streams (50–240 years b.p.) in Glacier Bay National Park (GBNP), Alaska. Population estimates of genetic diversity including heterozygosity and allelic richness declined significantly and monotonically from the oldest and largest to youngest and smallest GBNP streams. Interpopulation variance in allele frequency increased with increasing distance between streams (r = 0·435, P < 0·01) and was inversely related to stream age (r = –0·281, P < 0·01). The most supported model of colonization involved ongoing or recent (<10 generations before sampling) colonization originating from large populations outside Glacier Bay proper into all other GBNP streams sampled. Results here show that sustained gene flow from large source populations is important to recently established O. kisutch metapopulations. Studies that document how genetic and demographic characteristics of newly founded populations vary associated with successional changes in stream habitat are of particular importance to and have significant implications for, restoration of declining or repatriation of extirpated populations in other regions of the species' native range.

","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13337","usgsCitation":"Scribner, K.T., Soiseth, C., McGuire, J.J., Sage, G.K., Thorsteinson, L.K., Nielsen, J.L., and Knudsen, E., 2017, Genetic assessment of the effects of streamscape succession on coho salmon Oncorhynchus kisutch colonization in recently deglaciated streams: Journal of Fish Biology, v. 91, no. 1, p. 195-218, https://doi.org/10.1111/jfb.13337.","productDescription":"24 p.","startPage":"195","endPage":"218","ipdsId":"IP-074390","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438278,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7V98657","text":"USGS data release","linkHelpText":"Coho Salmon (Oncorhynchus kisutch) Genetic Data, Glacier Bay National Park, Alaska (1994-1999)"},{"id":353006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -137.24395751953125,\n 58.33545085930665\n ],\n [\n -135.3570556640625,\n 58.33545085930665\n ],\n [\n -135.3570556640625,\n 59.08714961054985\n ],\n [\n -137.24395751953125,\n 59.08714961054985\n ],\n [\n -137.24395751953125,\n 58.33545085930665\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-19","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc411","contributors":{"authors":[{"text":"Scribner, Kim T.","contributorId":146113,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","email":"","middleInitial":"T.","affiliations":[{"id":135,"text":"Biological Resources Division","active":false,"usgs":true},{"id":16582,"text":"Department of Fisheries and Wildlife and Department of Zoology, 480 Wilson Rd. 13 Natural Resources Building, Michigan State University, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":731759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soiseth, Chad","contributorId":179804,"corporation":false,"usgs":false,"family":"Soiseth","given":"Chad","email":"","affiliations":[],"preferred":false,"id":731760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166 jmcguire@whoi.edu","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":177447,"corporation":false,"usgs":false,"family":"McGuire","given":"Jeffrey","email":"jmcguire@whoi.edu","middleInitial":"J.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":731761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sage, G. Kevin 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":4348,"corporation":false,"usgs":true,"family":"Sage","given":"G.","email":"ksage@usgs.gov","middleInitial":"Kevin","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":731762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorsteinson, Lyman K. lthorsteinson@usgs.gov","contributorId":3000,"corporation":false,"usgs":true,"family":"Thorsteinson","given":"Lyman","email":"lthorsteinson@usgs.gov","middleInitial":"K.","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":731765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nielsen, J. L.","contributorId":203548,"corporation":false,"usgs":false,"family":"Nielsen","given":"J.","email":"","middleInitial":"L.","affiliations":[{"id":27774,"text":"formerly with USGS","active":true,"usgs":false}],"preferred":false,"id":731763,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knudsen, E.","contributorId":98264,"corporation":false,"usgs":true,"family":"Knudsen","given":"E.","affiliations":[],"preferred":false,"id":731764,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196235,"text":"70196235 - 2017 - Autonomous acoustic recorders reveal complex patterns in avian detection probability","interactions":[],"lastModifiedDate":"2018-03-27T16:20:59","indexId":"70196235","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Autonomous acoustic recorders reveal complex patterns in avian detection probability","docAbstract":"

Avian point‐count surveys are typically designed to occur during periods when birds are consistently active and singing, but seasonal and diurnal patterns of detection probability are often not well understood and may vary regionally or between years. We deployed autonomous acoustic recorders to assess how avian availability for detection (i.e., the probability that a bird signals its presence during a recording) varied during the breeding season with time of day, date, and weather‐related variables at multiple subarctic tundra sites in Alaska, USA, 2013–2014. A single observer processed 2,692 10‐minute recordings across 11 site‐years. We used time‐removal methods to assess availability and used generalized additive models to examine patterns of detectability (joint probability of presence, availability, and detection) for 16 common species. Despite lack of distinct dawn or dusk, most species displayed circadian vocalization patterns, with detection rates generally peaking between 0800 hours and 1200 hours but remaining high as late as 2000 hours for some species. Between 2200 hours and 0500 hours, most species’ detection rates dropped to near 0, signaling a distinctive rest period. Detectability dropped sharply for most species in early July. For all species considered, time‐removal analysis indicated nearly 100% likelihood of detection during a 10‐minute recording conducted in June, between 0500 hours and 2000 hours. This indicates that non‐detections during appropriate survey times and dates were attributable to the species’ absence or that silent birds were unlikely to initiate singing during a 10‐minute interval, whereas vocally active birds were singing very frequently. Systematic recordings revealed a gradient of species’ presence at each site, from ubiquitous to incidental. Although the total number of species detected at a site ranged from 16 to 27, we detected only 4 to 15 species on ≥5% of the site's recordings. Recordings provided an unusually detailed and consistent dataset that allowed us to identify, among other things, appropriate survey dates and times for species breeding at northern latitudes. Our results also indicated that more recordings of shorter duration (1–4 min) may be most efficient for detecting passerines.

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21285","usgsCitation":"Thompson, S.J., Handel, C.M., and McNew, L.B., 2017, Autonomous acoustic recorders reveal complex patterns in avian detection probability: Journal of Wildlife Management, v. 81, no. 7, p. 1228-1241, https://doi.org/10.1002/jwmg.21285.","productDescription":"14 p.","startPage":"1228","endPage":"1241","ipdsId":"IP-078782","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":461465,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/14475","text":"External Repository"},{"id":438277,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B856KG","text":"USGS data release","linkHelpText":"Audio Recording Device Data for Assessing Avian Detectability, Seward Peninsula, Alaska, 2013-2014"},{"id":352803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-07","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc40f","contributors":{"authors":[{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":731788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":731789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNew, Lance B. lmcnew@usgs.gov","contributorId":5086,"corporation":false,"usgs":true,"family":"McNew","given":"Lance","email":"lmcnew@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":731804,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189784,"text":"70189784 - 2017 - Numerical studies of depressurization-induced gas production from an interbedded marine turbidite gas hydrate reservoir model","interactions":[],"lastModifiedDate":"2017-07-26T14:57:40","indexId":"70189784","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Numerical studies of depressurization-induced gas production from an interbedded marine turbidite gas hydrate reservoir model","docAbstract":"

The numerical simulation of thin hydrate-bearing sand layers interbedded with mud layers is investigated. In this model, the lowest hydrate layer occurs at the base of gas hydrate stability and overlies a thinly-interbedded saline aquifer. The predicted gas rates reach 6.25 MMscf/day (1.77 x 105 m3 /day) after 90 days of continuous depressurization with manageable water production. Development of horizontal dissociating interfaces between hydrate-bearing sand and mud layers is a primary determinant of reservoir performance. A set of simulations has been executed to assess uncertainty in in situ permeability and to determine the impact of the saline aquifer on productivity.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceeding of the 9th International Conference on Gas Hydrates","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"9th International Conference on Gas Hydrates","conferenceDate":"June 25-30, 2017","conferenceLocation":"Denver, CO","language":"English","usgsCitation":"Myshakin, E., Lin, J., Uchida, S., Seol, Y., Collett, T.S., and Boswell, R., 2017, Numerical studies of depressurization-induced gas production from an interbedded marine turbidite gas hydrate reservoir model, in Proceeding of the 9th International Conference on Gas Hydrates, Denver, CO, June 25-30, 2017, 18 p.","productDescription":"18 p.","ipdsId":"IP-084857","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":344338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344337,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.netl.doe.gov/File%20Library/Research/Oil-Gas/methane%20hydrates/840-ICGH9-Myshakin.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5979aa54e4b0ec1a488b8c02","contributors":{"authors":[{"text":"Myshakin, Evgeniy","contributorId":195140,"corporation":false,"usgs":false,"family":"Myshakin","given":"Evgeniy","affiliations":[],"preferred":false,"id":706341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Jeen-Shang","contributorId":195141,"corporation":false,"usgs":false,"family":"Lin","given":"Jeen-Shang","email":"","affiliations":[],"preferred":false,"id":706342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uchida, Shun","contributorId":195142,"corporation":false,"usgs":false,"family":"Uchida","given":"Shun","email":"","affiliations":[],"preferred":false,"id":706343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seol, Yongkoo","contributorId":195139,"corporation":false,"usgs":false,"family":"Seol","given":"Yongkoo","email":"","affiliations":[],"preferred":false,"id":706344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":706340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, Ray","contributorId":195137,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":706345,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192901,"text":"70192901 - 2017 - Population characteristics and the influence of discharge on Bluehead Sucker and Flannelmouth Sucker","interactions":[],"lastModifiedDate":"2017-11-07T14:28:36","indexId":"70192901","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Population characteristics and the influence of discharge on Bluehead Sucker and Flannelmouth Sucker","docAbstract":"

Rivers are among some of the most complex and important ecosystems in the world. Unfortunately, many fishes endemic to rivers have suffered declines in abundance and distribution suggesting that alterations to lotic environments have negatively influenced native fish populations. Of the 35 fishes native to the Colorado River basin (CRB), seven are considered either endangered, threatened, or species of special concern. As such, the conservation of fishes native to the CRB is a primary interest for natural resource management agencies. One of the major factors limiting the conservation and management of fishes endemic to the CRB is the lack of basic information on their ecology and population characteristics. We sought to describe the population dynamics and demographics of three populations of Bluehead Suckers (Catostomus discobolus) and Flannelmouth Suckers (C. latipinnis) in Utah. Additionally, we evaluated the potential influence of altered flow regimes on the recruitment and growth of Bluehead Suckers and Flannelmouth Suckers. Mortality of Bluehead Suckers and Flannelmouth Suckers from the Green, Strawberry, and White rivers was comparable to other populations. Growth of Bluehead Suckers and Flannelmouth Suckers was higher in the Green, Strawberry, and White rivers when compared to other populations in the CRB. Similarly, recruitment indices suggested that Bluehead Suckers and Flannelmouth Suckers in the Green, Strawberry, and White rivers had more stable recruitment than other populations in the CRB. Models relating growth and recruitment to hydrological indices provided little explanatory power. Notwithstanding, our results indicate that Bluehead Suckers and Flannelmouth Suckers in the Green, Strawberry, and White rivers represent fairly stable populations and provide baseline information that will be valuable for the effective management and conservation of the species.

","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CE-16-554","usgsCitation":"Klein, Z.B., Breen, M.J., and Quist, M.C., 2017, Population characteristics and the influence of discharge on Bluehead Sucker and Flannelmouth Sucker: Copeia, v. 105, no. 2, p. 375-388, https://doi.org/10.1643/CE-16-554.","productDescription":"14 p.","startPage":"375","endPage":"388","ipdsId":"IP-081127","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Green River, Strawberry River, White River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.04705810546874,\n 39.38950933076637\n ],\n [\n -109.0447998046875,\n 39.38950933076637\n ],\n [\n -109.0447998046875,\n 40.992337919312305\n ],\n [\n -111.04705810546874,\n 40.992337919312305\n ],\n [\n -111.04705810546874,\n 39.38950933076637\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"105","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8b8e4b09af898c8cba3","contributors":{"authors":[{"text":"Klein, Zachary B.","contributorId":171709,"corporation":false,"usgs":false,"family":"Klein","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":720987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breen, Matthew J.","contributorId":200099,"corporation":false,"usgs":false,"family":"Breen","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":717329,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189497,"text":"70189497 - 2017 - Intra-reach headwater fish assemblage structure","interactions":[],"lastModifiedDate":"2017-07-13T16:18:05","indexId":"70189497","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5462,"text":"The Open Ecology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Intra-reach headwater fish assemblage structure","docAbstract":"

Large-scale conservation efforts can take advantage of modern large databases and regional modeling and assessment methods. However, these broad-scale efforts often assume uniform average habitat conditions and/or species assemblages within stream reaches.

","language":"English","publisher":"Bentham Open","doi":"10.2174/1874213001710010001","usgsCitation":"McKenna, J., 2017, Intra-reach headwater fish assemblage structure: The Open Ecology Journal, v. 10, no. 1, p. 1-12, https://doi.org/10.2174/1874213001710010001.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-078892","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2174/1874213001710010001","text":"Publisher Index Page"},{"id":343826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5968869be4b0d1f9f05f5960","contributors":{"authors":[{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":704911,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192632,"text":"70192632 - 2017 - Complex networks of functional connectivity in a wetland reconnected to its floodplain","interactions":[],"lastModifiedDate":"2017-11-06T12:27:36","indexId":"70192632","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Complex networks of functional connectivity in a wetland reconnected to its floodplain","docAbstract":"

Disturbances such as fire or flood, in addition to changing the local magnitude of ecological, hydrological, or biogeochemical processes, can also change their functional connectivity—how those processes interact in space. Complex networks offer promise for quantifying functional connectivity in watersheds. The approach resolves connections between nodes in space based on statistical similarities in perturbation signals (derived from solute time series) and is sensitive to a wider range of timescales than traditional mass-balance modeling. We use this approach to test hypotheses about how fire and flood impact ecological and biogeochemical dynamics in a wetland (Everglades, FL, USA) that was reconnected to its floodplain. Reintroduction of flow pulses after decades of separation by levees fundamentally reconfigured functional connectivity networks. The most pronounced expansion was that of the calcium network, which reflects periphyton dynamics and may represent an indirect influence of elevated nutrients, despite the comparatively smaller observed expansion of phosphorus networks. With respect to several solutes, periphyton acted as a “biotic filter,” shifting perturbations in water-quality signals to different timescales through slow but persistent transformations of the biotic community. The complex-networks approach also revealed portions of the landscape that operate in fundamentally different regimes with respect to dissolved oxygen, separated by a threshold in flow velocity of 1.2 cm/s, and suggested that complete removal of canals may be needed to restore connectivity with respect to biogeochemical processes. Fire reconfigured functional connectivity networks in a manner that reflected localized burn severity, but had a larger effect on the magnitude of solute concentrations.

","language":"English","publisher":"AGU Publications","doi":"10.1002/2017WR020375","usgsCitation":"Larsen, L., Newman, S., Saunders, C., and Harvey, J., 2017, Complex networks of functional connectivity in a wetland reconnected to its floodplain: Water Resources Research, v. 53, no. 7, p. 6089-6108, https://doi.org/10.1002/2017WR020375.","productDescription":"10 p.","startPage":"6089","endPage":"6108","ipdsId":"IP-086967","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020375","text":"Publisher Index Page"},{"id":348265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","volume":"53","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-28","publicationStatus":"PW","scienceBaseUri":"5a07e8b9e4b09af898c8cba7","contributors":{"authors":[{"text":"Larsen, Laurel G.","contributorId":191391,"corporation":false,"usgs":false,"family":"Larsen","given":"Laurel G.","affiliations":[],"preferred":false,"id":716602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, Susan","contributorId":15308,"corporation":false,"usgs":true,"family":"Newman","given":"Susan","email":"","affiliations":[],"preferred":false,"id":716603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saunders, Colin","contributorId":73913,"corporation":false,"usgs":true,"family":"Saunders","given":"Colin","email":"","affiliations":[],"preferred":false,"id":716604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":716601,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196736,"text":"70196736 - 2017 - Seasonal movements and multiscale habitat selection of Whooping Crane (Grus americana) in natural and agricultural wetlands","interactions":[],"lastModifiedDate":"2018-04-27T13:34:32","indexId":"70196736","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonal movements and multiscale habitat selection of Whooping Crane (Grus americana) in natural and agricultural wetlands","title":"Seasonal movements and multiscale habitat selection of Whooping Crane (Grus americana) in natural and agricultural wetlands","docAbstract":"

Eleven of 15 species of cranes (family: Gruidae) are considered vulnerable or endangered, and the increase of agriculture and aquaculture at the expense of natural wetlands and grasslands is a threat to Gruidae worldwide. A reintroduced population of Whooping Crane (Grus americana) was studied in coastal and agricultural wetlands of Louisiana and Texas, USA. The objectives were to compare Whooping Crane movements across seasons, quantify multiscale habitat selection, and identify seasonal shifts in selection. Whooping Cranes (n = 53) were tracked with satellite transmitters to estimate seasonal core-use areas (50% home range contours) via Brownian bridge movement models and assess habitat selection. Whooping Crane core-use areas (n = 283) ranged from 4.7 to 438.0 km2, and habitat selection changed seasonally as shallow water availability varied. Whooping Crane core-use areas were composed of more fresh marsh in spring/summer, but shifted towards rice and crawfish (Procambarus spp.) aquaculture in the fall/winter. Within core-use areas, aquaculture was most strongly selected, particularly in fall when fresh marsh became unsuitable. Overall, the shifting of Whooping Crane habitat selection over seasons is likely to require large, heterogeneous areas. Whooping Crane use of agricultural and natural wetlands may depend on spatio-temporal dynamics of water depth.

","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.040.0404","usgsCitation":"Pickens, B.A., King, S.L., Vasseur, P.L., Zimorski, S.E., and Selman, W., 2017, Seasonal movements and multiscale habitat selection of Whooping Crane (Grus americana) in natural and agricultural wetlands: Waterbirds, v. 40, no. 4, p. 322-333, https://doi.org/10.1675/063.040.0404.","productDescription":"12 p.","startPage":"322","endPage":"333","ipdsId":"IP-077755","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353775,"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 -94,\n 29.625996273660785\n ],\n [\n -91.71936035156249,\n 29.625996273660785\n ],\n [\n -91.71936035156249,\n 31\n ],\n [\n -94,\n 31\n ],\n [\n -94,\n 29.625996273660785\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc40d","contributors":{"authors":[{"text":"Pickens, Bradley A.","contributorId":140926,"corporation":false,"usgs":false,"family":"Pickens","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vasseur, Phillip L.","contributorId":204493,"corporation":false,"usgs":false,"family":"Vasseur","given":"Phillip","email":"","middleInitial":"L.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":734163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimorski, Sara E.","contributorId":204494,"corporation":false,"usgs":false,"family":"Zimorski","given":"Sara","email":"","middleInitial":"E.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":734164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Selman, Will","contributorId":204495,"corporation":false,"usgs":false,"family":"Selman","given":"Will","email":"","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":734165,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192522,"text":"70192522 - 2017 - Species distribution models for a migratory bird based on citizen science and satellite tracking data","interactions":[],"lastModifiedDate":"2017-10-26T13:33:14","indexId":"70192522","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Species distribution models for a migratory bird based on citizen science and satellite tracking data","docAbstract":"

Species distribution models can provide critical baseline distribution information for the conservation of poorly understood species. Here, we compared the performance of band-tailed pigeon (Patagioenas fasciata) species distribution models created using Maxent and derived from two separate presence-only occurrence data sources in New Mexico: 1) satellite tracked birds and 2) observations reported in eBird basic data set. Both models had good accuracy (test AUC > 0.8 and True Skill Statistic > 0.4), and high overlap between suitability scores (I statistic 0.786) and suitable habitat patches (relative rank 0.639). Our results suggest that, at the state-wide level, eBird occurrence data can effectively model similar species distributions as satellite tracking data. Climate change models for the band-tailed pigeon predict a 35% loss in area of suitable climate by 2070 if CO2 emissions drop to 1990 levels by 2100, and a 45% loss by 2070 if we continue current CO2 emission levels through the end of the century. These numbers may be conservative given the predicted increase in drought, wildfire, and forest pest impacts to the coniferous forests the species inhabits in New Mexico. The northern portion of the species’ range in New Mexico is predicted to be the most viable through time.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2017.08.001","usgsCitation":"Coxen, C.L., Frey, J.K., Carleton, S.A., and Collins, D.P., 2017, Species distribution models for a migratory bird based on citizen science and satellite tracking data: Global Ecology and Conservation, v. 11, p. 298-311, https://doi.org/10.1016/j.gecco.2017.08.001.","productDescription":"14 p.","startPage":"298","endPage":"311","ipdsId":"IP-087235","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2017.08.001","text":"Publisher Index Page"},{"id":347476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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Mexico\",\"nation\":\"USA \"}}]}","volume":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8b9e4b09af898c8cbab","contributors":{"authors":[{"text":"Coxen, Christopher L.","contributorId":198545,"corporation":false,"usgs":false,"family":"Coxen","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jennifer K.","contributorId":198546,"corporation":false,"usgs":false,"family":"Frey","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":716379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":716122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Daniel P.","contributorId":198065,"corporation":false,"usgs":false,"family":"Collins","given":"Daniel","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":716380,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196812,"text":"70196812 - 2017 - Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams","interactions":[],"lastModifiedDate":"2018-05-02T11:40:36","indexId":"70196812","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams","docAbstract":"

Headwater stream responses to climate change will depend in part on groundwater‐surface water exchanges. We used linear modeling techniques to partition likely effects of shallow groundwater seepage and air temperature on stream temperatures for 79 sites in nine focal watersheds using hourly air and water temperature measurements collected during summer months from 2012 to 2015 in Shenandoah National Park, Virginia, USA. Shallow groundwater effects exhibited more variation within watersheds than between them, indicating the importance of reach‐scale assessments and the limited capacity to extrapolate upstream groundwater influences from downstream measurements. Boosted regression tree (BRT) models revealed intricate interactions among geomorphological landform features (stream slope, elevation, network length, contributing area, and channel confinement) and seasonal precipitation patterns (winter, spring, and summer months) that together were robust predictors of spatial and temporal variation in groundwater influence on stream temperatures. The final BRT model performed well for training data and cross‐validated samples (correlation = 0.984 and 0.760, respectively). Geomorphological and precipitation predictors of groundwater influence varied in their importance between watersheds, suggesting differences in spatial and temporal controls of recharge dynamics and the depth of the groundwater source. We demonstrate an application of the final BRT model to predict groundwater effects from landform and precipitation covariates at 1075 new sites distributed at 100 m increments within focal watersheds. Our study provides a framework to estimate effects of groundwater seepage on stream temperature in unsampled locations. We discuss applications for climate change research to account for groundwater‐surface water interactions when projecting future thermal thresholds for stream biota.

","language":"English","publisher":"AGU","doi":"10.1002/2017WR020455","usgsCitation":"Johnson, Z.C., Snyder, C.D., and Hitt, N.P., 2017, Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams: Water Resources Research, v. 53, no. 7, p. 5788-5812, https://doi.org/10.1002/2017WR020455.","productDescription":"25 p.","startPage":"5788","endPage":"5812","ipdsId":"IP-086899","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469716,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020455","text":"Publisher Index Page"},{"id":438280,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B56H72","text":"USGS data release","linkHelpText":"Air-water temperature data for the study of groundwater influence on stream thermal regimes in Shenandoah National Park, Virginia (ver. 2.0, May 3, 2018)"},{"id":353918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.85986328125,\n 38.09133660751176\n ],\n [\n -78.10455322265625,\n 38.09133660751176\n ],\n [\n -78.10455322265625,\n 38.90172091499795\n ],\n [\n -78.85986328125,\n 38.90172091499795\n ],\n [\n -78.85986328125,\n 38.09133660751176\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc40b","contributors":{"authors":[{"text":"Johnson, Zachary C. 0000-0002-0149-5223","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":204647,"corporation":false,"usgs":false,"family":"Johnson","given":"Zachary","email":"","middleInitial":"C.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":734560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734561,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189311,"text":"70189311 - 2017 - Inputs and internal cycling of nitrogen to a causeway influenced, hypersaline lake, Great Salt Lake, Utah, USA","interactions":[],"lastModifiedDate":"2017-07-11T09:31:34","indexId":"70189311","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Inputs and internal cycling of nitrogen to a causeway influenced, hypersaline lake, Great Salt Lake, Utah, USA","docAbstract":"

Nitrogen inputs to Great Salt Lake (GSL), located in the western USA, were quantified relative to the resident nitrogen mass in order to better determine numeric nutrient criteria that may be considered at some point in the future. Total dissolved nitrogen inputs from four surface-water sources entering GSL were modeled during the 5-year study period (2010–2014) and ranged from 1.90 × 106 to 5.56 × 106 kg/year. The railroad causeway breach was a significant conduit for the export of dissolved nitrogen from Gilbert to Gunnison Bay, and in 2011 and 2012, net losses of total nitrogen mass from Gilbert Bay via the Causeway breach were 9.59 × 105 and 1.51 × 106 kg. Atmospheric deposition (wet + dry) was a significant source of nitrogen to Gilbert Bay, exceeding the dissolved nitrogen load contributed via the Farmington Bay causeway surface-water input by >100,000 kg during 2 years of the study. Closure of two railroad causeway culverts in 2012 and 2013 likely initiated a decreasing trend in the volume of the higher density Deep Brine Layer and associated declines in total dissolved nitrogen mass contained in this layer. The large dissolved nitrogen pool in Gilbert Bay relative to the amount of nitrogen contributed by surface-water inflow sources is consistent with the terminal nature of GSL and the predominance of internal nutrient cycling. The opening of the new railroad causeway breach in 2016 will likely facilitate more efficient bidirectional flow between Gilbert and Gunnison Bays, resulting in potentially substantial changes in nutrient pools within GSL.

","language":"English","publisher":"Springer","doi":"10.1007/s10498-017-9318-6","usgsCitation":"Naftz, D.L., 2017, Inputs and internal cycling of nitrogen to a causeway influenced, hypersaline lake, Great Salt Lake, Utah, USA: Aquatic Geochemistry, v. 23, no. 3, p. 199-216, https://doi.org/10.1007/s10498-017-9318-6.","productDescription":"18 p.","startPage":"199","endPage":"216","ipdsId":"IP-055005","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":343552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.15917968749999,\n 40.63896734381723\n ],\n [\n -111.8902587890625,\n 40.63896734381723\n ],\n [\n -111.8902587890625,\n 41.72623044860004\n ],\n [\n -113.15917968749999,\n 41.72623044860004\n ],\n [\n -113.15917968749999,\n 40.63896734381723\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-09","publicationStatus":"PW","scienceBaseUri":"5965b1b8e4b0d1f9f05b379c","contributors":{"authors":[{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704095,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70195151,"text":"70195151 - 2017 - The interacting roles of climate, soils, and plant production on soil microbial communities at a continental scale","interactions":[],"lastModifiedDate":"2025-05-14T19:01:49.827094","indexId":"70195151","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The interacting roles of climate, soils, and plant production on soil microbial communities at a continental scale","docAbstract":"

Soil microbial communities control critical ecosystem processes such as decomposition, nutrient cycling, and soil organic matter formation. Continental scale patterns in the composition and functioning of microbial communities are related to climatic, biotic, and edaphic factors such as temperature and precipitation, plant community composition, and soil carbon, nitrogen, and pH. Although these relationships have been well explored individually, the examination of the factors that may act directly on microbial communities vs. those that may act indirectly through other ecosystem properties has not been well developed. To further such understanding, we utilized structural equation modeling (SEM) to evaluate a set of hypotheses about the direct and indirect effects of climatic, biotic, and edaphic variables on microbial communities across the continental United States. The primary goals of this work were to test our current understanding of the interactions among climate, soils, and plants in affecting microbial community composition, and to examine whether variation in the composition of the microbial community affects potential rates of soil enzymatic activities. A model of interacting factors created through SEM shows several expected patterns. Distal factors such as climate had indirect effects on microbial communities by influencing plant productivity, soil mineralogy, and soil pH, but factors related to soil organic matter chemistry had the most direct influence on community composition. We observed that both plant productivity and soil mineral composition were important indirect influences on community composition at the continental scale, both interacting to affect organic matter content and microbial biomass and ultimately community composition. Although soil hydrolytic enzymes were related to the moisture regime and soil carbon, oxidative enzymes were also affected by community composition, reflected in the abundance of soil fungi. These results highlight that soil microbial communities can be modeled within the context of multiple interacting ecosystem properties acting both directly and indirectly on their composition and function, and this provides a rich and informative context with which to examine communities. This work also highlights that variation in climate, microbial biomass, and microbial community composition can affect maximum rates of soil enzyme activities, potentially influencing rates of decomposition and nutrient mineralization in soils.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1883","usgsCitation":"Waldrop, M.P., Holloway, J.M., Smith, D.B., Goldhaber, M.B., Drenovsky, R.E., Scow, K.M., Dick, R., Howard, D.M., Wylie, B.K., and Grace, J.B., 2017, The interacting roles of climate, soils, and plant production on soil microbial communities at a continental scale: Ecology, v. 98, no. 7, p. 1957-1967, https://doi.org/10.1002/ecy.1883.","productDescription":"11 p.","startPage":"1957","endPage":"1967","ipdsId":"IP-079060","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":351294,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":469707,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://collected.jcu.edu/fac_bib_2017/9","text":"Publisher Index Page"}],"volume":"98","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"5a7c1e7be4b00f54eb22934d","contributors":{"authors":[{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":727202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668 jholloway@usgs.gov","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":918,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","email":"jholloway@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":727203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":138565,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":727204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":727205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drenovsky, R. E.","contributorId":201925,"corporation":false,"usgs":false,"family":"Drenovsky","given":"R.","email":"","middleInitial":"E.","affiliations":[{"id":36301,"text":"John Carroll Univeristy","active":true,"usgs":false}],"preferred":false,"id":727206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scow, K. M.","contributorId":201926,"corporation":false,"usgs":false,"family":"Scow","given":"K.","email":"","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":727207,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dick, R.","contributorId":201927,"corporation":false,"usgs":false,"family":"Dick","given":"R.","email":"","affiliations":[{"id":36302,"text":"Ohio State Univeristy","active":true,"usgs":false}],"preferred":false,"id":727208,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Howard, Daniel M. 0000-0002-7563-7538 danny.howard.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":197063,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel","email":"danny.howard.ctr@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":727209,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":727210,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":727211,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70191078,"text":"70191078 - 2017 - Short-term ecological consequences of collaborative restoration treatments in ponderosa pine forests of Colorado","interactions":[],"lastModifiedDate":"2017-09-25T11:38:59","indexId":"70191078","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Short-term ecological consequences of collaborative restoration treatments in ponderosa pine forests of Colorado","docAbstract":"

Ecological restoration treatments are being implemented at an increasing rate in ponderosa pine and other dry conifer forests across the western United States, via the USDA Forest Service’s Collaborative Forest Landscape Restoration (CFLR) program. In this program, collaborative stakeholder groups work with National Forests (NFs) to adaptively implement and monitor ecological restoration treatments intended to offset the effects of many decades of anthropogenic stressors. We initiated a novel study to expand the scope of treatment effectiveness monitoring efforts in one of the first CFLR landscapes, Colorado’s Front Range. We used a Before/After/Control/Impact framework to evaluate the short-term consequences of treatments on numerous ecological properties. We collected pre-treatment and one year post-treatment data on NF and partner agencies’ lands, in 66 plots distributed across seven treatment units and nearby untreated areas. Our results reflected progress toward several treatment objectives: treated areas had lower tree density and basal area, greater openness, no increase in exotic understory plants, no decrease in native understory plants, and no decrease in use by tree squirrels and ungulates. However, some findings suggested the need for adaptive modification of both treatment prescriptions and monitoring protocols: treatments did not promote heterogeneity of stand structure, and monitoring methods may not have been robust enough to detect changes in surface fuels. Our study highlights both the effective aspects of these restoration treatments, and the importance of initiating and continuing collaborative science-based monitoring to improve the outcomes of broad-scale forest restoration efforts.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.03.008","collaboration":"Paula Fornwalt; Jonas Feinstein","usgsCitation":"Briggs, J.S., Fornwalt, P.J., and Feinstein, J.A., 2017, Short-term ecological consequences of collaborative restoration treatments in ponderosa pine forests of Colorado: Forest Ecology and Management, v. 395, p. 69-80, https://doi.org/10.1016/j.foreco.2017.03.008.","productDescription":"12 p.","startPage":"69","endPage":"80","ipdsId":"IP-079089","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2017.03.008","text":"Publisher Index Page"},{"id":346044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","volume":"395","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15ade4b017cf314041c3","contributors":{"authors":[{"text":"Briggs, Jenny S. 0000-0001-7454-6928 jsbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-7454-6928","contributorId":3087,"corporation":false,"usgs":true,"family":"Briggs","given":"Jenny","email":"jsbriggs@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":711089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fornwalt, Paula J.","contributorId":196676,"corporation":false,"usgs":false,"family":"Fornwalt","given":"Paula","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feinstein, Jonas A.","contributorId":196677,"corporation":false,"usgs":false,"family":"Feinstein","given":"Jonas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711091,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193525,"text":"70193525 - 2017 - Use of spatial capture–recapture to estimate density of Andean bears in northern Ecuador","interactions":[],"lastModifiedDate":"2017-11-14T14:22:15","indexId":"70193525","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Use of spatial capture–recapture to estimate density of Andean bears in northern Ecuador","docAbstract":"

The Andean bear (Tremarctos ornatus) is the only extant species of bear in South America and is considered threatened across its range and endangered in Ecuador. Habitat loss and fragmentation is considered a critical threat to the species, and there is a lack of knowledge regarding its distribution and abundance. The species is thought to occur at low densities, making field studies designed to estimate abundance or density challenging. We conducted a pilot camera-trap study to estimate Andean bear density in a recently identified population of Andean bears northwest of Quito, Ecuador, during 2012. We compared 12 candidate spatial capture–recapture models including covariates on encounter probability and density and estimated a density of 7.45 bears/100 km2 within the region. In addition, we estimated that approximately 40 bears used a recently named Andean bear corridor established by the Secretary of Environment, and we produced a density map for this area. Use of a rub-post with vanilla scent attractant allowed us to capture numerous photographs for each event, improving our ability to identify individual bears by unique facial markings. This study provides the first empirically derived density estimate for Andean bears in Ecuador and should provide direction for future landscape-scale studies interested in conservation initiatives requiring spatially explicit estimates of density.

","language":"English","publisher":"International Association for Bear Research and Management","doi":"10.2192/URSU-D-16-00030.1","usgsCitation":"Molina, S., Fuller, A.K., Morin, D.J., and Royle, J., 2017, Use of spatial capture–recapture to estimate density of Andean bears in northern Ecuador: Ursus, v. 28, no. 1, p. 117-126, https://doi.org/10.2192/URSU-D-16-00030.1.","productDescription":"10 p.","startPage":"117","endPage":"126","ipdsId":"IP-080987","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","volume":"28","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb8ee4b06e28e9c23284","contributors":{"authors":[{"text":"Molina, Santiago","contributorId":200363,"corporation":false,"usgs":false,"family":"Molina","given":"Santiago","email":"","affiliations":[],"preferred":false,"id":722063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morin, Dana J.","contributorId":200306,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":719267,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191486,"text":"70191486 - 2017 - Novel, continuous monitoring of fine‐scale movement using fixed‐position radiotelemetry arrays and random forest location fingerprinting","interactions":[],"lastModifiedDate":"2018-03-29T13:11:53","indexId":"70191486","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Novel, continuous monitoring of fine‐scale movement using fixed‐position radiotelemetry arrays and random forest location fingerprinting","docAbstract":"
  1. Radio‐tag signals from fixed‐position antennas are most often used to indicate presence or absence of individuals, or to estimate individual activity levels from signal strength variation within an antenna's detection zone. The potential of such systems to provide more precise information on tag location and movement has not been explored in great detail in an ecological setting.
  2. By reversing the roles that transmitters and receivers play in localization methods common to the telecommunications industry, we present a new telemetric tool for accurately estimating the location of tagged individuals from received signal strength values. The methods used to characterize the study area in terms of received signal strength are described, as is the random forest model used for localization. The resulting method is then validated using test data before being applied to true data collected from tagged individuals in the study site.
  3. Application of the localization method to test data withheld from the learning dataset indicated a low average error over the entire study area (<1 m), whereas application of the localization method to real data produced highly probable results consistent with field observations.
  4. This telemetric approach provided detailed movement data for tagged fish along a single axis (a migratory path) and is particularly useful for monitoring passage along migratory routes. The new methods applied in this study can also be expanded to include multiple axes (x, y, z) and multiple environments (aquatic and terrestrial) for remotely monitoring wildlife movement.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12745","usgsCitation":"Harbicht, A.B., Castro-Santos, T.R., Ardren, W.R., Gorsky, D., and Fraser, D., 2017, Novel, continuous monitoring of fine‐scale movement using fixed‐position radiotelemetry arrays and random forest location fingerprinting: Methods in Ecology and Evolution, v. 8, no. 7, p. 850-859, https://doi.org/10.1111/2041-210X.12745.","productDescription":"10 p.","startPage":"850","endPage":"859","ipdsId":"IP-079687","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12745","text":"Publisher Index Page"},{"id":352942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Boquet River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.394,\n 44.366\n ],\n [\n -73.388,\n 44.366\n ],\n [\n -73.388,\n 44.370\n ],\n [\n -73.394,\n 44.370\n ],\n [\n -73.394,\n 44.366\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-07","publicationStatus":"PW","scienceBaseUri":"5afee854e4b0da30c1bfc424","contributors":{"authors":[{"text":"Harbicht, Andrew B.","contributorId":197056,"corporation":false,"usgs":false,"family":"Harbicht","given":"Andrew","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":712407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ardren, William R.","contributorId":184180,"corporation":false,"usgs":false,"family":"Ardren","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":712408,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":712409,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fraser, Dylan","contributorId":197057,"corporation":false,"usgs":false,"family":"Fraser","given":"Dylan","affiliations":[],"preferred":false,"id":712410,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189190,"text":"70189190 - 2017 - Microbial-sized, carboxylate-modified microspheres as surrogate tracers in a variety of subsurface environments: An overview","interactions":[],"lastModifiedDate":"2017-07-06T15:56:13","indexId":"70189190","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3828,"text":"Procedia Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Microbial-sized, carboxylate-modified microspheres as surrogate tracers in a variety of subsurface environments: An overview","docAbstract":"

Since 1986, fluorescent carboxylate-modified polystyrene/latex microspheres (FCM) have been co-injected into aquifers along with conservative tracers and viruses, bacteria, and (or) protozoa. Use of FCM has resulted in new information about subsurface transport behaviors of microorganisms in fractured crystalline rock, karst limestone, soils, and granular aquifers. FCM have been used as surrogates for oocysts of the pathogenic protist Cryptosporidium parvum in karst limestone and granular drinking-water aquifers. The advantages of FCM in subsurface transport studies are that they are safe in tracer applications, negatively charged, easy to detect, chemically inert, and available in wide range of sizes. The limitations of FCM are that the quantities needed for some field transport studies can be prohibitively expensive and that their surface characteristics may not match the microorganisms of interest. These limitations may be ameliorated, in part by using chemically modified FCM so that their surface characteristics are a better match to that of the organisms. Also, more sensitive methods of detection may allow using smaller quantities of FCM. To assess how the transport behaviors of FCM and pathogens might compare at the field scale, it is helpful to conduct side-by-side comparisons of their transport behaviors using the geologic media and site-specific conditions that characterize the field site.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.proeps.2016.12.094","usgsCitation":"Harvey, R.W., Metge, D.W., and LeBlanc, D.R., 2017, Microbial-sized, carboxylate-modified microspheres as surrogate tracers in a variety of subsurface environments: An overview: Procedia Earth and Planetary Science, v. 17, p. 372-375, https://doi.org/10.1016/j.proeps.2016.12.094.","productDescription":"4 p.","startPage":"372","endPage":"375","ipdsId":"IP-074893","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469722,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.proeps.2016.12.094","text":"Publisher Index Page"},{"id":343454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c3ae4b0d1f9f057e326","contributors":{"authors":[{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":703424,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191851,"text":"70191851 - 2017 - Geomagnetically induced currents: Science, engineering, and applications readiness","interactions":[],"lastModifiedDate":"2017-10-18T14:15:58","indexId":"70191851","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Geomagnetically induced currents: Science, engineering, and applications readiness","docAbstract":"

This paper is the primary deliverable of the very first NASA Living With a Star Institute Working Group, Geomagnetically Induced Currents (GIC) Working Group. The paper provides a broad overview of the current status and future challenges pertaining to the science, engineering, and applications of the GIC problem. Science is understood here as the basic space and Earth sciences research that allows improved understanding and physics-based modeling of the physical processes behind GIC. Engineering, in turn, is understood here as the “impact” aspect of GIC. Applications are understood as the models, tools, and activities that can provide actionable information to entities such as power systems operators for mitigating the effects of GIC and government agencies for managing any potential consequences from GIC impact to critical infrastructure. Applications can be considered the ultimate goal of our GIC work. In assessing the status of the field, we quantify the readiness of various applications in the mitigation context. We use the Applications Readiness Level (ARL) concept to carry out the quantification.

","language":"English","publisher":"AGU","doi":"10.1002/2016SW001501","usgsCitation":"Pulkkinen, A., Bernabeu, E., Thomson, A., Viljanen, A., Pirjola, R., Boteler, D., Eichner, J., Cilliers, P., Welling, D., Savani, N., Weigel, R., Love, J.J., Balch, C., Ngwira, C., Crowley, G., Schultz, A., Kataoka, R., Anderson, B., Fugate, D., Simpson, J., and MacAlester, M., 2017, Geomagnetically induced currents: Science, engineering, and applications readiness: Space Weather, v. 15, no. 7, p. 828-856, https://doi.org/10.1002/2016SW001501.","productDescription":"29 p.","startPage":"828","endPage":"856","ipdsId":"IP-082568","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469708,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016sw001501","text":"External Repository"},{"id":346880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-06","publicationStatus":"PW","scienceBaseUri":"59e86835e4b05fe04cd4d1f4","contributors":{"authors":[{"text":"Pulkkinen, Antti","contributorId":196970,"corporation":false,"usgs":false,"family":"Pulkkinen","given":"Antti","email":"","affiliations":[],"preferred":false,"id":713377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernabeu, E.","contributorId":197383,"corporation":false,"usgs":false,"family":"Bernabeu","given":"E.","email":"","affiliations":[],"preferred":false,"id":713378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomson, A.","contributorId":197384,"corporation":false,"usgs":false,"family":"Thomson","given":"A.","email":"","affiliations":[],"preferred":false,"id":713379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viljanen, A.","contributorId":197385,"corporation":false,"usgs":false,"family":"Viljanen","given":"A.","email":"","affiliations":[],"preferred":false,"id":713380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pirjola, R.","contributorId":197386,"corporation":false,"usgs":false,"family":"Pirjola","given":"R.","email":"","affiliations":[],"preferred":false,"id":713381,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boteler, D.","contributorId":197387,"corporation":false,"usgs":false,"family":"Boteler","given":"D.","affiliations":[],"preferred":false,"id":713382,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eichner, J.","contributorId":197388,"corporation":false,"usgs":false,"family":"Eichner","given":"J.","email":"","affiliations":[],"preferred":false,"id":713383,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cilliers, P.J.","contributorId":197389,"corporation":false,"usgs":false,"family":"Cilliers","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":713384,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welling, D.","contributorId":96990,"corporation":false,"usgs":true,"family":"Welling","given":"D.","email":"","affiliations":[],"preferred":false,"id":713385,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Savani, N.P.","contributorId":197390,"corporation":false,"usgs":false,"family":"Savani","given":"N.P.","email":"","affiliations":[],"preferred":false,"id":713386,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weigel, R.S.","contributorId":197391,"corporation":false,"usgs":false,"family":"Weigel","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":713387,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":713388,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Balch, Christopher","contributorId":156386,"corporation":false,"usgs":false,"family":"Balch","given":"Christopher","affiliations":[{"id":20337,"text":"NOAA Space Weather Prediciton Center","active":true,"usgs":false}],"preferred":false,"id":713389,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ngwira, C.M.","contributorId":197392,"corporation":false,"usgs":false,"family":"Ngwira","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":713390,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Crowley, G.","contributorId":197393,"corporation":false,"usgs":false,"family":"Crowley","given":"G.","email":"","affiliations":[],"preferred":false,"id":713391,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schultz, Adam","contributorId":197380,"corporation":false,"usgs":false,"family":"Schultz","given":"Adam","affiliations":[],"preferred":false,"id":713392,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kataoka, R.","contributorId":197394,"corporation":false,"usgs":false,"family":"Kataoka","given":"R.","email":"","affiliations":[],"preferred":false,"id":713393,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Anderson, B.","contributorId":178208,"corporation":false,"usgs":false,"family":"Anderson","given":"B.","affiliations":[],"preferred":false,"id":713394,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Fugate, D.","contributorId":197395,"corporation":false,"usgs":false,"family":"Fugate","given":"D.","email":"","affiliations":[],"preferred":false,"id":713395,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Simpson, J.J.","contributorId":197396,"corporation":false,"usgs":false,"family":"Simpson","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":713396,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"MacAlester, M.","contributorId":197397,"corporation":false,"usgs":false,"family":"MacAlester","given":"M.","email":"","affiliations":[],"preferred":false,"id":713397,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70192772,"text":"70192772 - 2017 - Recent climate extremes associated with the West Pacific Warming Mode","interactions":[],"lastModifiedDate":"2018-04-23T09:07:44","indexId":"70192772","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Recent climate extremes associated with the West Pacific Warming Mode","docAbstract":"

Here we analyze empirical orthogonal functions (EOFs) of observations and a 30 member ensemble of Community Earth System Model version 1 (CESM1) simulations, and suggest that precipitation declines in the Greater Horn of Africa (GHA) and the northern Middle East/Southwestern Asia (NME/SWE: Iran, Iraq, Kuwait, Syria, Saudi Arabia north of 25°N, Israel, Jordan, and Lebanon) may be interpreted as an interaction between La Niña-like decadal variability and the West Pacific Warming Mode (WPWM). While they exhibit different SST patterns, warming of the Pacific cold tongue (ENSO) and warming of the western Pacific (WPWM) produce similar warm pool diabatic forcing, Walker circulation anomalies, and terrestrial teleconnections. CESM1 SST EOFs indicate that both La Niña-like WPWM warming and El Niño-like east Pacific warming will be produced by climate change. The temporal frequency of these changes, however, are distinct. WPWM varies decadally, while ENSO is dominated by interannual variability. Future WPWM and ENSO warming may manifest as a tendency toward warm West Pacific SST, punctuated by extreme warm East Pacific events. WPWM EOFs from Global Precipitation Climatology Project (GPCP) precipitation also identify dramatic WPWM-related declines in the Greater Horn of Africa and NME/SWE.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate extremes: Patterns and mechanisms","language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119068020.ch10","isbn":"978-1-119-06784-9","usgsCitation":"Funk, C., and Hoell, A., 2017, Recent climate extremes associated with the West Pacific Warming Mode, chap. of Climate extremes: Patterns and mechanisms, p. 165-176, https://doi.org/10.1002/9781119068020.ch10.","productDescription":"12 p.","startPage":"165","endPage":"176","ipdsId":"IP-078988","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":351608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc419","contributors":{"authors":[{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":716874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoell, Andrew","contributorId":145805,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":716875,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192070,"text":"70192070 - 2017 - Species’ traits help predict small mammal responses to habitat homogenization by an invasive grass","interactions":[],"lastModifiedDate":"2017-10-19T13:49:04","indexId":"70192070","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Species’ traits help predict small mammal responses to habitat homogenization by an invasive grass","docAbstract":"

Invasive plants can negatively affect native species, however, the strength, direction, and shape of responses may vary depending on the type of habitat alteration and the natural history of native species. To prioritize conservation of vulnerable species, it is therefore critical to effectively predict species’ responses to invasive plants, which may be facilitated by a framework based on species’ traits. We studied the population and community responses of small mammals and changes in habitat heterogeneity across a gradient of cheatgrass (Bromus tectorum) cover, a widespread invasive plant in North America. We live-trapped small mammals over two summers and assessed the effect of cheatgrass on native small mammal abundance, richness, and species-specific and trait-based occupancy, while accounting for detection probability and other key habitat elements. Abundance was only estimated for the most common species, deer mice (Peromyscus maniculatus). All species were pooled for the trait-based occupancy analysis to quantify the ability of small mammal traits (habitat association, mode of locomotion, and diet) to predict responses to cheatgrass invasion. Habitat heterogeneity decreased with cheatgrass cover. Deer mouse abundance increased marginally with cheatgrass. Species richness did not vary with cheatgrass, however, pocket mouse (Perognathus spp.) and harvest mouse (Reithrodontomys spp.) occupancy tended to decrease and increase, respectively, with cheatgrass cover, suggesting a shift in community composition. Cheatgrass had little effect on occupancy for deer mice, 13-lined ground squirrels (Spermophilus tridecemlineatus), and Ord's kangaroo rat (Dipodomys ordii). Species’ responses to cheatgrass primarily corresponded with our a priori predictions based on species’ traits. The probability of occupancy varied significantly with a species’ habitat association but not with diet or mode of locomotion. When considered within the context of a rapid habitat change, such as caused by invasive plants, relevant species’ traits may provide a useful framework for predicting species’ responses to a variety of habitat disturbances. Understanding which species are likely to be most affected by exotic plant invasion will help facilitate more efficient, targeted management and conservation of native species and habitats.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1535","usgsCitation":"Ceradini, J.P., and Chalfoun, A.D., 2017, Species’ traits help predict small mammal responses to habitat homogenization by an invasive grass: Ecological Applications, v. 27, no. 5, p. 1451-1465, https://doi.org/10.1002/eap.1535.","productDescription":"15 p.","startPage":"1451","endPage":"1465","ipdsId":"IP-073819","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-17","publicationStatus":"PW","scienceBaseUri":"59e9b994e4b05fe04cd65c7c","contributors":{"authors":[{"text":"Ceradini, Joseph P.","contributorId":197676,"corporation":false,"usgs":false,"family":"Ceradini","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714061,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193448,"text":"70193448 - 2017 - A new species of freshwater eel-tailed catfish of the genus Tandanus (Teleostei: Plotosidae) from coastal rivers of mid-northern New South Wales, Australia","interactions":[],"lastModifiedDate":"2017-11-10T17:56:07","indexId":"70193448","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"A new species of freshwater eel-tailed catfish of the genus Tandanus (Teleostei: Plotosidae) from coastal rivers of mid-northern New South Wales, Australia","docAbstract":"

Tandanus bellingerensis, new species, is described based on specimens from four river drainages (Bellinger, Macleay, Hastings, and Manning rivers) of the mid-northern coast of New South Wales, Australia. Previously, three species were recognized in the genus Tandanus: T. tropicanus of the wet tropics region of northeast Queensland, T. tandanus of the Murray-Darling drainage and coastal streams of central-southern Queensland and New South Wales, and T. bostocki of southwestern Western Australia. The new species is distinguished from all congeners by a combination of the following morphologic characters: a high count of rays in the continuous caudodorsal and anal fins (range 153–169, mode 159), a high count of gill rakers on the first arch (range 35–39, mode 36), and strongly recurved posterior serrae of the pectoral-fin spine. Additionally, results from previously conducted genetic studies corroborate morphologic and taxonomic distinctness of the new species.

","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CI-16-547","usgsCitation":"Welsh, S., Jerry, D.R., Burrows, D., and Rourke, M.L., 2017, A new species of freshwater eel-tailed catfish of the genus Tandanus (Teleostei: Plotosidae) from coastal rivers of mid-northern New South Wales, Australia: Copeia, v. 105, no. 2, p. 229-236, https://doi.org/10.1643/CI-16-547.","productDescription":"8 p.","startPage":"229","endPage":"236","ipdsId":"IP-079377","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","state":"New South Wales","volume":"105","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cce4b09af898c86114","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jerry, Dean R.","contributorId":171885,"corporation":false,"usgs":false,"family":"Jerry","given":"Dean","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burrows, Damien","contributorId":150475,"corporation":false,"usgs":false,"family":"Burrows","given":"Damien","email":"","affiliations":[],"preferred":false,"id":721634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rourke, Meaghan L.","contributorId":200255,"corporation":false,"usgs":false,"family":"Rourke","given":"Meaghan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721635,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189472,"text":"70189472 - 2017 - PeRL: A circum-Arctic Permafrost Region Pond and Lake database","interactions":[],"lastModifiedDate":"2018-06-16T18:26:58","indexId":"70189472","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"PeRL: A circum-Arctic Permafrost Region Pond and Lake database","docAbstract":"

Ponds and lakes are abundant in Arctic permafrost lowlands. They play an important role in Arctic wetland ecosystems by regulating carbon, water, and energy fluxes and providing freshwater habitats. However, ponds, i.e., waterbodies with surface areas smaller than 1. 0 × 104 m2, have not been inventoried on global and regional scales. The Permafrost Region Pond and Lake (PeRL) database presents the results of a circum-Arctic effort to map ponds and lakes from modern (2002–2013) high-resolution aerial and satellite imagery with a resolution of 5 m or better. The database also includes historical imagery from 1948 to 1965 with a resolution of 6 m or better. PeRL includes 69 maps covering a wide range of environmental conditions from tundra to boreal regions and from continuous to discontinuous permafrost zones. Waterbody maps are linked to regional permafrost landscape maps which provide information on permafrost extent, ground ice volume, geology, and lithology. This paper describes waterbody classification and accuracy, and presents statistics of waterbody distribution for each site. Maps of permafrost landscapes in Alaska, Canada, and Russia are used to extrapolate waterbody statistics from the site level to regional landscape units. PeRL presents pond and lake estimates for a total area of 1. 4 × 106 km2 across the Arctic, about 17 % of the Arctic lowland ( <  300 m a.s.l.) land surface area. PeRL waterbodies with sizes of 1. 0 × 106 m2 down to 1. 0 × 102 m2 contributed up to 21 % to the total water fraction. Waterbody density ranged from 1. 0 × 10 to 9. 4 × 101 km−2. Ponds are the dominant waterbody type by number in all landscapes representing 45–99 % of the total waterbody number. The implementation of PeRL size distributions in land surface models will greatly improve the investigation and projection of surface inundation and carbon fluxes in permafrost lowlands. Waterbody maps, study area boundaries, and maps of regional permafrost landscapes including detailed metadata are available at https://doi.pangaea.de/10.1594/PANGAEA.868349.

","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-9-317-2017","usgsCitation":"Muster, S., Roth, K., Langer, M., Lange, S., Cresto Aleina, F., Bartsch, A., Morgenstern, A., Grosse, G., Jones, B.M., Sannel, A.B., Sjoberg, Y., Gunther, F., Andresen, C., Veremeeva, A., Lindgren, P.R., Bouchard, F., Lara, M.J., Fortier, D., Charbonneau, S., Virtanen, T.A., Hugelius, G., Palmtag, J., Siewert, M.B., Riley, W.J., Koven, C., and Boike, J., 2017, PeRL: A circum-Arctic Permafrost Region Pond and Lake database: Earth System Science Data, v. 9, p. 317-348, https://doi.org/10.5194/essd-9-317-2017.","productDescription":"32 p.","startPage":"317","endPage":"348","ipdsId":"IP-081012","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":469775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-9-317-2017","text":"Publisher Index Page"},{"id":343807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2017-06-06","publicationStatus":"PW","scienceBaseUri":"5968869de4b0d1f9f05f5965","contributors":{"authors":[{"text":"Muster, Sina","contributorId":194628,"corporation":false,"usgs":false,"family":"Muster","given":"Sina","email":"","affiliations":[],"preferred":false,"id":704818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roth, Kurt","contributorId":194629,"corporation":false,"usgs":false,"family":"Roth","given":"Kurt","email":"","affiliations":[],"preferred":false,"id":704819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langer, Moritz","contributorId":194630,"corporation":false,"usgs":false,"family":"Langer","given":"Moritz","email":"","affiliations":[],"preferred":false,"id":704820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lange, Stephan","contributorId":194631,"corporation":false,"usgs":false,"family":"Lange","given":"Stephan","email":"","affiliations":[],"preferred":false,"id":704821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cresto Aleina, Fabio","contributorId":194632,"corporation":false,"usgs":false,"family":"Cresto Aleina","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":704822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartsch, Annett","contributorId":194633,"corporation":false,"usgs":false,"family":"Bartsch","given":"Annett","email":"","affiliations":[],"preferred":false,"id":704823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morgenstern, Anne","contributorId":194634,"corporation":false,"usgs":false,"family":"Morgenstern","given":"Anne","email":"","affiliations":[],"preferred":false,"id":704824,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":704825,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":704826,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sannel, A. B. K.","contributorId":38450,"corporation":false,"usgs":false,"family":"Sannel","given":"A.","email":"","middleInitial":"B. K.","affiliations":[],"preferred":false,"id":704827,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sjoberg, Ylva 0000-0002-4292-5808","orcid":"https://orcid.org/0000-0002-4292-5808","contributorId":194635,"corporation":false,"usgs":false,"family":"Sjoberg","given":"Ylva","email":"","affiliations":[],"preferred":false,"id":704828,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gunther, Frank","contributorId":194636,"corporation":false,"usgs":false,"family":"Gunther","given":"Frank","affiliations":[],"preferred":false,"id":704829,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Andresen, Christian","contributorId":194637,"corporation":false,"usgs":false,"family":"Andresen","given":"Christian","email":"","affiliations":[],"preferred":false,"id":704830,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Veremeeva, Alexandra","contributorId":194028,"corporation":false,"usgs":false,"family":"Veremeeva","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":704831,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lindgren, Prajna R.","contributorId":194638,"corporation":false,"usgs":false,"family":"Lindgren","given":"Prajna","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":704832,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bouchard, Frederic","contributorId":194639,"corporation":false,"usgs":false,"family":"Bouchard","given":"Frederic","email":"","affiliations":[],"preferred":false,"id":704833,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Lara, Mark J.","contributorId":194640,"corporation":false,"usgs":false,"family":"Lara","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704834,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Fortier, Daniel","contributorId":194641,"corporation":false,"usgs":false,"family":"Fortier","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":704835,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Charbonneau, Simon","contributorId":194642,"corporation":false,"usgs":false,"family":"Charbonneau","given":"Simon","email":"","affiliations":[],"preferred":false,"id":704836,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Virtanen, Tarmo A.","contributorId":194643,"corporation":false,"usgs":false,"family":"Virtanen","given":"Tarmo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704837,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Hugelius, Gustaf 0000-0002-8096-1594","orcid":"https://orcid.org/0000-0002-8096-1594","contributorId":73863,"corporation":false,"usgs":false,"family":"Hugelius","given":"Gustaf","email":"","affiliations":[{"id":25546,"text":"Stockholm University, Sweden","active":true,"usgs":false},{"id":17850,"text":"Dept of Earth System Science, Stanford University, Stanford, CA 94305","active":true,"usgs":false}],"preferred":false,"id":704838,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Palmtag, J.","contributorId":62532,"corporation":false,"usgs":true,"family":"Palmtag","given":"J.","email":"","affiliations":[],"preferred":false,"id":704839,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Siewert, Matthias B.","contributorId":194644,"corporation":false,"usgs":false,"family":"Siewert","given":"Matthias","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":704840,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Riley, William J. 0000-0002-4615-2304","orcid":"https://orcid.org/0000-0002-4615-2304","contributorId":194645,"corporation":false,"usgs":false,"family":"Riley","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704841,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Koven, Charles","contributorId":51143,"corporation":false,"usgs":true,"family":"Koven","given":"Charles","affiliations":[],"preferred":false,"id":704842,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Boike, Julia","contributorId":194646,"corporation":false,"usgs":false,"family":"Boike","given":"Julia","email":"","affiliations":[],"preferred":false,"id":704843,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70189309,"text":"70189309 - 2017 - Does bioelectrical impedance analysis accurately estimate the condition of threatened and endangered desert fish species?","interactions":[],"lastModifiedDate":"2017-07-11T09:29:00","indexId":"70189309","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Does bioelectrical impedance analysis accurately estimate the condition of threatened and endangered desert fish species?","docAbstract":"

Bioelectrical impedance analysis (BIA) is a nonlethal tool with which to estimate the physiological condition of animals that has potential value in research on endangered species. However, the effectiveness of BIA varies by species, the methodology continues to be refined, and incidental mortality rates are unknown. Under laboratory conditions we tested the value of using BIA in addition to morphological measurements such as total length and wet mass to estimate proximate composition (lipid, protein, ash, water, dry mass, energy density) in the endangered Humpback Chub Gila cypha and Bonytail G. elegans and the species of concern Roundtail Chub G. robusta and conducted separate trials to estimate the mortality rates of these sensitive species. Although Humpback and Roundtail Chub exhibited no or low mortality in response to taking BIA measurements versus handling for length and wet-mass measurements, Bonytails exhibited 14% and 47% mortality in the BIA and handling experiments, respectively, indicating that survival following stress is species specific. Derived BIA measurements were included in the best models for most proximate components; however, the added value of BIA as a predictor was marginal except in the absence of accurate wet-mass data. Bioelectrical impedance analysis improved the R2 of the best percentage-based models by no more than 4% relative to models based on morphology. Simulated field conditions indicated that BIA models became increasingly better than morphometric models at estimating proximate composition as the observation error around wet-mass measurements increased. However, since the overall proportion of variance explained by percentage-based models was low and BIA was mostly a redundant predictor, we caution against the use of BIA in field applications for these sensitive fish species.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1302993","usgsCitation":"Dibble, K.L., Yard, M.D., Ward, D.L., and Yackulic, C.B., 2017, Does bioelectrical impedance analysis accurately estimate the condition of threatened and endangered desert fish species?: Transactions of the American Fisheries Society, v. 146, no. 5, p. 888-902, https://doi.org/10.1080/00028487.2017.1302993.","productDescription":"15 p.","startPage":"888","endPage":"902","ipdsId":"IP-076886","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488591,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/dataset/Does_Bioelectrical_Impedance_Analysis_Accurately_Estimate_the_Physiological_Condition_of_Threatened_and_Endangered_Desert_Fish_Species_/5177047","text":"External Repository"},{"id":438281,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CF9NMV","text":"USGS data release","linkHelpText":"Bioelectrical impedance analysis for an endangered desert fish&#151;Data"},{"id":343551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-05","publicationStatus":"PW","scienceBaseUri":"5965b1b8e4b0d1f9f05b379e","contributors":{"authors":[{"text":"Dibble, Kimberly L. 0000-0003-0799-4477 kdibble@usgs.gov","orcid":"https://orcid.org/0000-0003-0799-4477","contributorId":5174,"corporation":false,"usgs":true,"family":"Dibble","given":"Kimberly","email":"kdibble@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":704088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yard, Micheal D. myard@usgs.gov","contributorId":147386,"corporation":false,"usgs":true,"family":"Yard","given":"Micheal","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":704089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":704090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":704091,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192997,"text":"70192997 - 2017 - Mapping informal small-scale mining features in a data-sparse tropical environment with a small UAS","interactions":[],"lastModifiedDate":"2022-12-22T17:49:02.708399","indexId":"70192997","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5559,"text":"Journal of Unmanned Vehicle Systems","active":true,"publicationSubtype":{"id":10}},"title":"Mapping informal small-scale mining features in a data-sparse tropical environment with a small UAS","docAbstract":"

This study evaluates the use of a small unmanned aerial system (UAS) to collect imagery over artisanal mining sites in West Africa. The purpose of this study is to consider how very high-resolution imagery and digital surface models (DSMs) derived from structure-from-motion (SfM) photogrammetric techniques from a small UAS can fill the gap in geospatial data collection between satellite imagery and data gathered during field work to map and monitor informal mining sites in tropical environments. The study compares both wide-angle and narrow field of view camera systems in the collection and analysis of high-resolution orthoimages and DSMs of artisanal mining pits. The results of the study indicate that UAS imagery and SfM photogrammetric techniques permit DSMs to be produced with a high degree of precision and relative accuracy, but highlight the challenges of mapping small artisanal mining pits in remote and data sparse terrain.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/juvs-2017-0002","usgsCitation":"Chirico, P.G., and Dewitt, J., 2017, Mapping informal small-scale mining features in a data-sparse tropical environment with a small UAS: Journal of Unmanned Vehicle Systems, v. 5, no. 3, p. 69-91, https://doi.org/10.1139/juvs-2017-0002.","productDescription":"23 p.","startPage":"69","endPage":"91","ipdsId":"IP-083399","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":349228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347668,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cdnsciencepub.com/doi/full/10.1139/juvs-2017-0002"}],"country":"Guinea","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-8.4393,7.68604],[-8.72212,7.71167],[-8.92606,7.30904],[-9.20879,7.31392],[-9.40335,7.52691],[-9.33728,7.92853],[-9.75534,8.54106],[-10.01657,8.4285],[-10.23009,8.40621],[-10.50548,8.3489],[-10.49432,8.71554],[-10.65477,8.97718],[-10.6224,9.26791],[-10.83915,9.68825],[-11.11748,10.04587],[-11.91728,10.04698],[-12.15034,9.85857],[-12.42593,9.83583],[-12.59672,9.62019],[-12.71196,9.34271],[-13.24655,8.90305],[-13.68515,9.49474],[-14.07404,9.88617],[-14.33008,10.01572],[-14.5797,10.21447],[-14.69323,10.6563],[-14.83955,10.87657],[-15.13031,11.04041],[-14.68569,11.52782],[-14.38219,11.50927],[-14.12141,11.67712],[-13.9008,11.67872],[-13.74316,11.81127],[-13.82827,12.14264],[-13.71874,12.24719],[-13.70048,12.58618],[-13.21782,12.57587],[-12.49905,12.33209],[-12.2786,12.35444],[-12.20356,12.46565],[-11.6583,12.38658],[-11.51394,12.44299],[-11.45617,12.07683],[-11.29757,12.07797],[-11.03656,12.21124],[-10.87083,12.17789],[-10.59322,11.92398],[-10.16521,11.84408],[-9.89099,12.06048],[-9.56791,12.19424],[-9.32762,12.33429],[-9.12747,12.30806],[-8.90526,12.08836],[-8.7861,11.81256],[-8.3763,11.39365],[-8.58131,11.13625],[-8.62032,10.81089],[-8.40731,10.90926],[-8.28236,10.7926],[-8.33538,10.49481],[-8.02994,10.20653],[-8.22934,10.12902],[-8.30962,9.78953],[-8.07911,9.37622],[-7.8321,8.5757],[-8.2035,8.45545],[-8.29905,8.31644],[-8.22179,8.12333],[-8.2807,7.68718],[-8.4393,7.68604]]]},\"properties\":{\"name\":\"Guinea\"}}]}","volume":"5","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb8ee4b06e28e9c2328c","contributors":{"authors":[{"text":"Chirico, Peter G. 0000-0001-8375-5342 pchirico@usgs.gov","orcid":"https://orcid.org/0000-0001-8375-5342","contributorId":195555,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter","email":"pchirico@usgs.gov","middleInitial":"G.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":717564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dewitt, Jessica D. 0000-0002-8281-8134 jdewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-8134","contributorId":198894,"corporation":false,"usgs":true,"family":"Dewitt","given":"Jessica D.","email":"jdewitt@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":717565,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192903,"text":"70192903 - 2017 - Habitat associations of juvenile Burbot in a tributary of the Kootenai River","interactions":[],"lastModifiedDate":"2017-12-14T17:04:43","indexId":"70192903","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Habitat associations of juvenile Burbot in a tributary of the Kootenai River","docAbstract":"

Burbot Lota lota in the lower Kootenai River, Idaho, have been the focus of extensive conservation efforts, particularly conservation aquaculture. One of the primary management strategies has been the release of Burbot into small tributaries in the Kootenai River basin, such as Deep Creek. Since 2012, approximately 12,000 juvenile Burbot have been stocked into Deep Creek; however, little is known about the habitat use of stocked Burbot. The objective of this study was to evaluate habitat associations of juvenile Burbot in Deep Creek. Fish and habitat were sampled from 58 reaches of the creek. Regression models suggested that Burbot moved little after stocking and were associated with areas of high mean depth and coarse substrate. This study provides additional knowledge on habitat associations of juvenile Burbot and suggests that managers should consider selecting deep habitats with coarse substrate for stocking locations.

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