{"pageNumber":"939","pageRowStart":"23450","pageSize":"25","recordCount":165549,"records":[{"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":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":70193053,"text":"70193053 - 2017 - Estimating ages of Utah chubs by use of pectoral fin rays, otoliths, and scales","interactions":[],"lastModifiedDate":"2017-11-06T16:18:34","indexId":"70193053","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Estimating ages of Utah chubs by use of pectoral fin rays, otoliths, and scales","docAbstract":"

Utah chub Gila atraria is native to the Upper Snake River system in Wyoming and Idaho and to the Lake Bonneville Basin in Utah and southeastern Idaho. However, the Utah chub has been introduced into many other waterbodies in the western United States, where it competes with ecologically and economically important species. The objectives of this study were to evaluate between-reader precision and reader confidence in age estimates obtained from pectoral fin rays, lapilli (otoliths), asterisci (otoliths), and scales for Utah chubs collected from Henrys Lake, Idaho. Lapilli have been previously shown to provide accurate age estimates for Utah chubs; therefore, we sought to compare age estimates from fin rays, asterisci, and scales to those from lapilli. The between-reader coefficient of variation (CV) in age estimates was lowest and the percent of exact reader agreement (PA-0) was highest for pectoral fin rays (CV = 4.7, PA-0 = 74%), followed by scales (CV = 10.3, PA-0 = 52.3%), lapilli (CV = 11.6, PA-0 = 48.2%), and asterisci (CV = 13.0, PA-0 = 41.7%). Consensus age estimates from pectoral fin rays showed high concordance with consensus age estimates from lapilli. Our results indicate that pectoral fin rays provide the most precise age estimates for Utah chub. Pectoral fin rays are easily collected and processed and also provide age estimates without requiring fish sacrifice.

","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0206","usgsCitation":"Griffin, K.M., Beard, Z.S., Flinders, J.M., and Quist, M.C., 2017, Estimating ages of Utah chubs by use of pectoral fin rays, otoliths, and scales: Western North American Naturalist, v. 77, no. 2, p. 189-194, https://doi.org/10.3398/064.077.0206.","productDescription":"6 p.","startPage":"189","endPage":"194","ipdsId":"IP-079398","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488725,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss2/5","text":"External Repository"},{"id":348307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8b8e4b09af898c8cb9d","contributors":{"authors":[{"text":"Griffin, Kayla M","contributorId":200039,"corporation":false,"usgs":false,"family":"Griffin","given":"Kayla","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":720771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Zachary S.","contributorId":198840,"corporation":false,"usgs":false,"family":"Beard","given":"Zachary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flinders, John M.","contributorId":200040,"corporation":false,"usgs":false,"family":"Flinders","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":717760,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192868,"text":"70192868 - 2017 - Estimating the number of recreational anglers for a given waterbody","interactions":[],"lastModifiedDate":"2017-11-08T11:00:44","indexId":"70192868","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the number of recreational anglers for a given waterbody","docAbstract":"

Knowing how many anglers use a given body of water is paramount for understanding components of a fishery related to angling pressure and harvest, yet no study has attempted to provide an estimate of the population size of anglers for a given waterbody. Here, we use information from creel surveys in a removal-sampling framework to estimate total numbers of anglers using six reservoirs in Nebraska, USA, and we examine the influence of the duration of sampling period on those estimates. Population estimates (N ± SE) of unique anglers were 2050 ± 45 for Branched Oak Lake, 1992 ± 29 for Calamus Reservoir, 929 ± 10 for Harlan County Reservoir, 985 ± 24 for Lake McConaughy, 1277 ± 24 for Merritt Reservoir, and 916 ± 18 for Pawnee Lake during April–October 2015. Shortening the sampling period by one or more months generally resulted in a greater effect on estimates of precision than on estimates of overall abundance. No relationship existed between abundances of unique anglers and angling pressures across reservoirs and sampling duration, indicative of a decoupling of angler abundance and angling pressure. The approach outlined herein has potential to provide defendable answers to “how many are there?”, questions we ask when subjects cannot be marked, which should provide new insights about angler populations and subpopulations.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2017.03.004","usgsCitation":"Pope, K.L., Powell, L.A., Harmon, B.S., Pegg, M.A., and Chizinski, C.J., 2017, Estimating the number of recreational anglers for a given waterbody: Fisheries Research, v. 191, p. 69-75, https://doi.org/10.1016/j.fishres.2017.03.004.","productDescription":"7 p.","startPage":"69","endPage":"75","ipdsId":"IP-081323","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","volume":"191","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b6e4b0dc0b45b45341","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Larkin A.","contributorId":198829,"corporation":false,"usgs":false,"family":"Powell","given":"Larkin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":717247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harmon, Brian S.","contributorId":172278,"corporation":false,"usgs":false,"family":"Harmon","given":"Brian","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":717248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pegg, Mark A.","contributorId":198830,"corporation":false,"usgs":false,"family":"Pegg","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":717249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717250,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192140,"text":"70192140 - 2017 - Plant diversity increases with the strength of negative density dependence at the global scale","interactions":[],"lastModifiedDate":"2017-10-23T14:29:48","indexId":"70192140","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Plant diversity increases with the strength of negative density dependence at the global scale","docAbstract":"

Theory predicts that higher biodiversity in the tropics is maintained by specialized interactions among plants and their natural enemies that result in conspecific negative density dependence (CNDD). By using more than 3000 species and nearly 2.4 million trees across 24 forest plots worldwide, we show that global patterns in tree species diversity reflect not only stronger CNDD at tropical versus temperate latitudes but also a latitudinal shift in the relationship between CNDD and species abundance. CNDD was stronger for rare species at tropical versus temperate latitudes, potentially causing the persistence of greater numbers of rare species in the tropics. Our study reveals fundamental differences in the nature of local-scale biotic interactions that contribute to the maintenance of species diversity across temperate and tropical communities.

","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.aam5678","usgsCitation":"LaManna, J.A., Mangan, S.A., Alonso, A., Bourg, N., Brockelman, W.Y., Bunyavejchewin, S., Chang, L., Chiang, J., Chuyong, G.B., Clay, K., Condit, R., Cordell, S., Davies, S.J., Furniss, T.J., Giardina, C.P., Gunatilleke, I.N., Gunatilleke, C.S., He, F., Howe, R.W., Hubbell, S.P., Hsieh, C., Inman-Narahari, F.M., Janik, D., Johnson, D.J., Kenfack, D., Korte, L., Kral, K., Larson, A.J., Lutz, J.A., McMahon, S.M., McShea, W.J., Memiaghe, H.R., Nathalang, A., Novotny, V., Ong, P.S., Orwig, D.A., Ostertag, R., Parker, G.G., Phillips, R.P., Sack, L., Sun, I., Tello, J.S., Thomas, D.W., Turner, B.L., Vela Diaz, D.M., Vrska, T., Weiblen, G.D., Wolf, A., Yap, S., and Myers, J.A., 2017, Plant diversity increases with the strength of negative density dependence at the global scale: Science, v. 356, no. 6345, p. 1389-1392, https://doi.org/10.1126/science.aam5678.","productDescription":"4 p.","startPage":"1389","endPage":"1392","ipdsId":"IP-087771","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":347136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"356","issue":"6345","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa7e4b0220bbd988f92","contributors":{"authors":[{"text":"LaManna, Joseph A.","contributorId":171738,"corporation":false,"usgs":false,"family":"LaManna","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangan, Scott A.","contributorId":197810,"corporation":false,"usgs":false,"family":"Mangan","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alonso, Alfonso","contributorId":197811,"corporation":false,"usgs":false,"family":"Alonso","given":"Alfonso","email":"","affiliations":[],"preferred":false,"id":714381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bourg, Norman 0000-0002-7443-1992 nbourg@usgs.gov","orcid":"https://orcid.org/0000-0002-7443-1992","contributorId":197809,"corporation":false,"usgs":true,"family":"Bourg","given":"Norman","email":"nbourg@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brockelman, Warren Y.","contributorId":197812,"corporation":false,"usgs":false,"family":"Brockelman","given":"Warren","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":714382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bunyavejchewin, Sarayudh","contributorId":197813,"corporation":false,"usgs":false,"family":"Bunyavejchewin","given":"Sarayudh","email":"","affiliations":[],"preferred":false,"id":714383,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chang, Li-Wan","contributorId":197814,"corporation":false,"usgs":false,"family":"Chang","given":"Li-Wan","email":"","affiliations":[],"preferred":false,"id":714384,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chiang, Jyh-Min","contributorId":197815,"corporation":false,"usgs":false,"family":"Chiang","given":"Jyh-Min","email":"","affiliations":[],"preferred":false,"id":714385,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chuyong, George B.","contributorId":197816,"corporation":false,"usgs":false,"family":"Chuyong","given":"George","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":714386,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clay, Keith","contributorId":140472,"corporation":false,"usgs":false,"family":"Clay","given":"Keith","email":"","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":714387,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Condit, Richard","contributorId":197817,"corporation":false,"usgs":false,"family":"Condit","given":"Richard","email":"","affiliations":[],"preferred":false,"id":714388,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cordell, Susan","contributorId":197818,"corporation":false,"usgs":false,"family":"Cordell","given":"Susan","email":"","affiliations":[],"preferred":false,"id":714389,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Davies, Stuart J.","contributorId":197819,"corporation":false,"usgs":false,"family":"Davies","given":"Stuart","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714390,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Furniss, Tucker J.","contributorId":181754,"corporation":false,"usgs":false,"family":"Furniss","given":"Tucker","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714391,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Giardina, Christian P. 0000-0002-3431-5073","orcid":"https://orcid.org/0000-0002-3431-5073","contributorId":182695,"corporation":false,"usgs":false,"family":"Giardina","given":"Christian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714392,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gunatilleke, I.A.U. Nimal","contributorId":197820,"corporation":false,"usgs":false,"family":"Gunatilleke","given":"I.A.U.","email":"","middleInitial":"Nimal","affiliations":[],"preferred":false,"id":714393,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gunatilleke, C.V. Savitri","contributorId":197821,"corporation":false,"usgs":false,"family":"Gunatilleke","given":"C.V.","email":"","middleInitial":"Savitri","affiliations":[],"preferred":false,"id":714394,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"He, Fangliang","contributorId":197822,"corporation":false,"usgs":false,"family":"He","given":"Fangliang","email":"","affiliations":[],"preferred":false,"id":714395,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Howe, Robert W.","contributorId":197823,"corporation":false,"usgs":false,"family":"Howe","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":714396,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hubbell, Stephen P.","contributorId":197824,"corporation":false,"usgs":false,"family":"Hubbell","given":"Stephen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714397,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Hsieh, Chang-Fu","contributorId":197825,"corporation":false,"usgs":false,"family":"Hsieh","given":"Chang-Fu","email":"","affiliations":[],"preferred":false,"id":714398,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Inman-Narahari, Faith M.","contributorId":197826,"corporation":false,"usgs":false,"family":"Inman-Narahari","given":"Faith","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714399,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Janik, David","contributorId":197827,"corporation":false,"usgs":false,"family":"Janik","given":"David","email":"","affiliations":[],"preferred":false,"id":714400,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Johnson, Daniel J.","contributorId":197828,"corporation":false,"usgs":false,"family":"Johnson","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714401,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Kenfack, 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MT","active":true,"usgs":false}],"preferred":false,"id":714405,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Lutz, James A.","contributorId":139178,"corporation":false,"usgs":false,"family":"Lutz","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":714406,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"McMahon, Sean M. 0000-0001-8302-6908","orcid":"https://orcid.org/0000-0001-8302-6908","contributorId":197833,"corporation":false,"usgs":false,"family":"McMahon","given":"Sean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714407,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"McShea, William J.","contributorId":197834,"corporation":false,"usgs":false,"family":"McShea","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714408,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Memiaghe, Herve R.","contributorId":197835,"corporation":false,"usgs":false,"family":"Memiaghe","given":"Herve","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":714409,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Nathalang, Anuttara","contributorId":197836,"corporation":false,"usgs":false,"family":"Nathalang","given":"Anuttara","email":"","affiliations":[],"preferred":false,"id":714410,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Novotny, Vojtech","contributorId":197837,"corporation":false,"usgs":false,"family":"Novotny","given":"Vojtech","email":"","affiliations":[],"preferred":false,"id":714411,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Ong, Perry 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Sebastian","contributorId":197844,"corporation":false,"usgs":false,"family":"Tello","given":"J.","email":"","middleInitial":"Sebastian","affiliations":[],"preferred":false,"id":714419,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Thomas, Duncan W.","contributorId":197845,"corporation":false,"usgs":false,"family":"Thomas","given":"Duncan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":714420,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Turner, Benjamin L.","contributorId":197846,"corporation":false,"usgs":false,"family":"Turner","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714421,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Vela Diaz, Dilys M.","contributorId":197847,"corporation":false,"usgs":false,"family":"Vela Diaz","given":"Dilys","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714422,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Vrska, Tomas","contributorId":197848,"corporation":false,"usgs":false,"family":"Vrska","given":"Tomas","email":"","affiliations":[],"preferred":false,"id":714423,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Weiblen, George D.","contributorId":197849,"corporation":false,"usgs":false,"family":"Weiblen","given":"George","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714424,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Wolf, Amy","contributorId":197850,"corporation":false,"usgs":false,"family":"Wolf","given":"Amy","email":"","affiliations":[],"preferred":false,"id":714425,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Yap, Sandra","contributorId":197851,"corporation":false,"usgs":false,"family":"Yap","given":"Sandra","email":"","affiliations":[],"preferred":false,"id":714426,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Myers, Jonathan A.","contributorId":197852,"corporation":false,"usgs":false,"family":"Myers","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714427,"contributorType":{"id":1,"text":"Authors"},"rank":50}]}} ,{"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":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":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":70197313,"text":"70197313 - 2017 - Challenges to oil spill assessment for seabirds in the deep ocean","interactions":[],"lastModifiedDate":"2018-05-29T15:09:13","indexId":"70197313","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Challenges to oil spill assessment for seabirds in the deep ocean","docAbstract":"

We synthesize impediments for evaluating effects to seabirds from open ocean hydrocarbon releases. Effects on seabirds from ship discharges, spills, and well blowouts often are poorly detected and monitored far from land. Regulatory regimes for ocean spills can result in monitoring efforts that are not entirely transparent. We illustrate how interdisciplinary technologies address deficits that hamper individual or population level assessments for seabirds, and we demonstrate where emerging technologies might be engaged to bridge gaps in oil spill monitoring. Although acute mortality from direct oil exposure poses the greatest risk to seabirds, other hazards from light-attraction, flaring, collisions, chronic pollution, and hydrocarbon inhalation around oil infrastructure also may induce bird mortality in the deep ocean.

","language":"English","publisher":"Springer","doi":"10.1007/s00244-016-0355-8","usgsCitation":"Haney, J.C., Jodice, P.G., Montevecchi, W., and Evers, D.C., 2017, Challenges to oil spill assessment for seabirds in the deep ocean: Archives of Environmental Contamination and Toxicology, v. 73, no. 1, p. 33-39, https://doi.org/10.1007/s00244-016-0355-8.","productDescription":"7 p.","startPage":"33","endPage":"39","ipdsId":"IP-078064","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00244-016-0355-8","text":"Publisher Index Page"},{"id":354542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-10","publicationStatus":"PW","scienceBaseUri":"5b155e82e4b092d9651e1bb4","contributors":{"authors":[{"text":"Haney, J. Christopher","contributorId":48043,"corporation":false,"usgs":true,"family":"Haney","given":"J.","email":"","middleInitial":"Christopher","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":736665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":200009,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":736619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montevecchi, William","contributorId":171895,"corporation":false,"usgs":false,"family":"Montevecchi","given":"William","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":736666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":736667,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"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":70194179,"text":"70194179 - 2017 - A proposal for amending administrative law to facilitate adaptive management","interactions":[],"lastModifiedDate":"2017-11-16T14:04:35","indexId":"70194179","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"A proposal for amending administrative law to facilitate adaptive management","docAbstract":"

In this article we examine how federal agencies use adaptive management. In order for federal agencies to implement adaptive management more successfully, administrative law must adapt to adaptive management, and we propose changes in administrative law that will help to steer the current process out of a dead end. Adaptive management is a form of structured decision making that is widely used in natural resources management. It involves specific steps integrated in an iterative process for adjusting management actions as new information becomes available. Theoretical requirements for adaptive management notwithstanding, federal agency decision making is subject to the requirements of the federal Administrative Procedure Act, and state agencies are subject to the states' parallel statutes. We argue that conventional administrative law has unnecessarily shackled effective use of adaptive management. We show that through a specialized 'adaptive management track' of administrative procedures, the core values of administrative law—especially public participation, judicial review, and finality— can be implemented in ways that allow for more effective adaptive management. We present and explain draft model legislation (the Model Adaptive Management Procedure Act) that would create such a track for the specific types of agency decision making that could benefit from adaptive management.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/aa7037","usgsCitation":"Craig, R.K., Ruhl, J., Brown, E., and Williams, B., 2017, A proposal for amending administrative law to facilitate adaptive management: Environmental Research Letters, v. 12, p. 1-17, https://doi.org/10.1088/1748-9326/aa7037.","productDescription":"Article 074018; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-083121","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":469778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aa7037","text":"Publisher Index Page"},{"id":349009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-10","publicationStatus":"PW","scienceBaseUri":"5a60fb8ee4b06e28e9c2327c","contributors":{"authors":[{"text":"Craig, Robin K.","contributorId":200492,"corporation":false,"usgs":false,"family":"Craig","given":"Robin","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruhl, J.B.","contributorId":200493,"corporation":false,"usgs":false,"family":"Ruhl","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":722495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Ellie 0000-0001-7798-830X ebrown@usgs.gov","orcid":"https://orcid.org/0000-0001-7798-830X","contributorId":200491,"corporation":false,"usgs":true,"family":"Brown","given":"Ellie","email":"ebrown@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":722493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Byron K.","contributorId":139564,"corporation":false,"usgs":false,"family":"Williams","given":"Byron K.","affiliations":[{"id":12801,"text":"The Wildlife Society","active":true,"usgs":false}],"preferred":false,"id":722496,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194547,"text":"70194547 - 2017 - 10Be dating of late Pleistocene megafloods and Cordilleran Ice Sheet retreat in the northwestern United States","interactions":[],"lastModifiedDate":"2017-12-05T11:12:45","indexId":"70194547","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"10Be dating of late Pleistocene megafloods and Cordilleran Ice Sheet retreat in the northwestern United States","title":"10Be dating of late Pleistocene megafloods and Cordilleran Ice Sheet retreat in the northwestern United States","docAbstract":"

During the late Pleistocene, multiple floods from drainage of glacial Lake Missoula further eroded a vast anastomosing network of bedrock channels, coulees, and cataracts, forming the Channeled Scabland of eastern Washington State (United States). However, the timing and exact pathways of these Missoula floods remain poorly constrained, thereby limiting our understanding of the evolution of this spectacular landscape. Here we report cosmogenic 10Be ages that directly date flood and glacial features important to understanding the flood history, the evolution of the Channeled Scabland, and relationships to the Cordilleran Ice Sheet (CIS). One of the largest floods occurred at 18.2 ± 1.5 ka, flowing down the northwestern Columbia River valley prior to blockage of this route by advance of the Okanogan lobe of the CIS, which dammed glacial Lake Columbia and diverted later Missoula floods to more eastern routes through the Channeled Scabland. The Okanogan and Purcell Trench lobes of the CIS began to retreat from their maximum extent at ca. 15.5 ka, likely in response to onset of surface warming of the northeastern Pacific Ocean. Upper Grand Coulee fully opened as a flood route after 15.6 ± 1.3 ka, becoming the primary path for later Missoula floods until the last ones from glacial Lake Missoula at 14.7 ± 1.2 ka. The youngest dated flood(s) (14.0 ± 1.4 ka to 14.4 ± 1.3 ka) came down the northwestern Columbia River valley and were likely from glacial Lake Columbia, indicating that the lake persisted for a few centuries after the last Missoula flood.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G38956.1","usgsCitation":"Balbas, A.M., Barth, A.M., Clark, P.U., Clark, J., Caffee, M.A., O'Connor, J., Baker, V.R., Konrad, K., and Bjornstad, B., 2017, 10Be dating of late Pleistocene megafloods and Cordilleran Ice Sheet retreat in the northwestern United States: Geology, v. 45, no. 7, p. 583-586, https://doi.org/10.1130/G38956.1.","productDescription":"4 p.","startPage":"583","endPage":"586","ipdsId":"IP-083290","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121,\n 45.72152152227954\n ],\n [\n -115,\n 45.72152152227954\n ],\n [\n -115,\n 48.30512072140391\n ],\n [\n -121,\n 48.30512072140391\n ],\n [\n -121,\n 45.72152152227954\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-08","publicationStatus":"PW","scienceBaseUri":"5a60fb8de4b06e28e9c23270","contributors":{"authors":[{"text":"Balbas, Andrea M.","contributorId":201138,"corporation":false,"usgs":false,"family":"Balbas","given":"Andrea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barth, Aaron M.","contributorId":201139,"corporation":false,"usgs":false,"family":"Barth","given":"Aaron","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Peter U.","contributorId":178026,"corporation":false,"usgs":false,"family":"Clark","given":"Peter","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":724419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Jorie","contributorId":201140,"corporation":false,"usgs":false,"family":"Clark","given":"Jorie","email":"","affiliations":[],"preferred":false,"id":724420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caffee, Marc A.","contributorId":36048,"corporation":false,"usgs":false,"family":"Caffee","given":"Marc","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":724416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, Victor R.","contributorId":201141,"corporation":false,"usgs":false,"family":"Baker","given":"Victor","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724422,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Konrad, Kevin","contributorId":167397,"corporation":false,"usgs":false,"family":"Konrad","given":"Kevin","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":724423,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bjornstad, Bruce","contributorId":201142,"corporation":false,"usgs":false,"family":"Bjornstad","given":"Bruce","email":"","affiliations":[],"preferred":false,"id":724424,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70194501,"text":"70194501 - 2017 - Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications","interactions":[],"lastModifiedDate":"2018-03-29T15:54:42","indexId":"70194501","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications","docAbstract":"

Groundwater flow advects heat, and thus, the deviation of subsurface temperatures from an expected conduction‐dominated regime can be analysed to estimate vertical water fluxes. A number of analytical approaches have been proposed for using heat as a groundwater tracer, and these have typically assumed a homogeneous medium. However, heterogeneous thermal properties are ubiquitous in subsurface environments, both at the scale of geologic strata and at finer scales in streambeds. Herein, we apply the analytical solution of Shan and Bodvarsson (2004), developed for estimating vertical water fluxes in layered systems, in 2 new environments distinct from previous vadose zone applications. The utility of the solution for studying groundwater‐surface water exchange is demonstrated using temperature data collected from an upwelling streambed with sediment layers, and a simple sensitivity analysis using these data indicates the solution is relatively robust. Also, a deeper temperature profile recorded in a borehole in South Australia is analysed to estimate deeper water fluxes. The analytical solution is able to match observed thermal gradients, including the change in slope at sediment interfaces. Results indicate that not accounting for layering can yield errors in the magnitude and even direction of the inferred Darcy fluxes. A simple automated spreadsheet tool (Flux‐LM) is presented to allow users to input temperature and layer data and solve the inverse problem to estimate groundwater flux rates from shallow (e.g., <1 m) or deep (e.g., up to 100 m) profiles. The solution is not transient, and thus, it should be cautiously applied where diel signals propagate or in deeper zones where multi‐decadal surface signals have disturbed subsurface thermal regimes.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11216","usgsCitation":"Kurylyk, B.L., Irvine, D.J., Carey, S.K., Briggs, M.A., Werkema, D.D., and Bonham, M., 2017, Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications: Hydrological Processes, v. 31, no. 14, p. 2648-2661, https://doi.org/10.1002/hyp.11216.","productDescription":"14 p.","startPage":"2648","endPage":"2661","ipdsId":"IP-083382","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":469721,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6260938","text":"External Repository"},{"id":438279,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85VG","text":"USGS data release","linkHelpText":"Streambed temperature data for the manuscript: Heat as a hydrologic tracer in shallow and deep heterogeneous media: analytical solution, spreadsheet tool, and field applications"},{"id":352969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"14","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc417","contributors":{"authors":[{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Dylan J.","contributorId":190404,"corporation":false,"usgs":false,"family":"Irvine","given":"Dylan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carey, Sean K.","contributorId":201022,"corporation":false,"usgs":false,"family":"Carey","given":"Sean","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":724121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":724118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":724122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonham, Mariah","contributorId":199839,"corporation":false,"usgs":false,"family":"Bonham","given":"Mariah","email":"","affiliations":[],"preferred":false,"id":724123,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192984,"text":"70192984 - 2017 - Tributary use by imperiled Flannelmouth and Bluehead Suckers in the upper Colorado River Basin","interactions":[],"lastModifiedDate":"2017-11-07T11:32:47","indexId":"70192984","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":"Tributary use by imperiled Flannelmouth and Bluehead Suckers in the upper Colorado River Basin","docAbstract":"

Habitat alterations and establishment of nonnative fishes have reduced the distributions of Flannelmouth Sucker Catostomus latipinnis and Bluehead Sucker C. discobolus to less than 50% of their historical ranges in the Colorado River basin. Tributaries are sometimes less altered than main-stem habitat in the basin and may be important to support various life history processes, but their role in the maintenance of Flannelmouth Sucker and Bluehead Sucker populations is poorly understood. Using mark–recapture techniques, we show tributaries are important habitat for native suckers in the upper Colorado River basin and report three main findings. First, both Flannelmouth and Bluehead suckers likely respond to a thermal cue that initiates spawning movement patterns. Suckers moved into Coal Creek from the White River beginning in mid-May of 2012 and 2013 to spawn. The majority of sucker spawning movements occurred when water temperatures in White River exceeded 11–14°C and those in Coal Creek were 2.5–4°C warmer, while flows varied between years. Second, based on PIT tag detection arrays, 13–45% of suckers showed spawning site fidelity. Sampling only with fyke nets would have resulted in the conclusion that site fidelity by native suckers was only 1–17%, because nets were less efficient at detecting marked fish. Third, most suckers of both species emigrated from Coal Creek within 48 h after being captured while suckers that were detected only via arrays remained resident for 10–12 d. The posthandling flight response we observed was not anticipated and to our knowledge has not been previously reported for these species. Remote PIT tag antenna arrays allowed for a stronger inference regarding movement and tributary use by these species than what could be achieved using just fyke nets. Tributaries are an important part of Flannelmouth Sucker and Bluehead Sucker life history and thus important to conservation strategies for these species.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1312522","usgsCitation":"Fraser, G.S., Winkelman, D.L., Bestgen, K.R., and Thompson, K.G., 2017, Tributary use by imperiled Flannelmouth and Bluehead Suckers in the upper Colorado River Basin: Transactions of the American Fisheries Society, v. 146, no. 5, p. 858-871, https://doi.org/10.1080/00028487.2017.1312522.","productDescription":"13 p.","startPage":"858","endPage":"871","ipdsId":"IP-080491","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.85964965820312,\n 40.002371935876475\n ],\n [\n -107.742919921875,\n 40.002371935876475\n ],\n [\n -107.742919921875,\n 40.07281723396798\n ],\n [\n -107.85964965820312,\n 40.07281723396798\n ],\n [\n -107.85964965820312,\n 40.002371935876475\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-28","publicationStatus":"PW","scienceBaseUri":"5a07e8b8e4b09af898c8cb9f","contributors":{"authors":[{"text":"Fraser, Gregory S.","contributorId":198883,"corporation":false,"usgs":false,"family":"Fraser","given":"Gregory","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":717532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bestgen, Kevin R. 0000-0001-8691-2227","orcid":"https://orcid.org/0000-0001-8691-2227","contributorId":171573,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":717533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Kevin G.","contributorId":198884,"corporation":false,"usgs":false,"family":"Thompson","given":"Kevin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":717534,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189640,"text":"70189640 - 2017 - Use of eddy-covariance methods to \"calibrate\" simple estimators of evapotranspiration","interactions":[],"lastModifiedDate":"2018-01-10T19:10:23","indexId":"70189640","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of eddy-covariance methods to \"calibrate\" simple estimators of evapotranspiration","docAbstract":"

Direct measurement of actual evapotranspiration (ET) provides quantification of this large component of the hydrologic budget, but typically requires long periods of record and large instrumentation and labor costs. Simple surrogate methods of estimating ET, if “calibrated” to direct measurements of ET, provide a reliable means to quantify ET. Eddy-covariance measurements of ET were made for 12 years (2004-2015) at an unimproved bahiagrass (Paspalum notatum) pasture in Florida. These measurements were compared to annual rainfall derived from rain gage data and monthly potential ET (PET) obtained from a long-term (since 1995) U.S. Geological Survey (USGS) statewide, 2-kilometer, daily PET product. The annual proportion of ET to rainfall indicates a strong correlation (r2=0.86) to annual rainfall; the ratio increases linearly with decreasing rainfall. Monthly ET rates correlated closely (r2=0.84) to the USGS PET product. The results indicate that simple surrogate methods of estimating actual ET show positive potential in the humid Florida climate given the ready availability of historical rainfall and PET.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2017 ASABE Annual International Meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/aim.201700912","usgsCitation":"Sumner, D.M., Geurink, J.S., and Swancar, A., 2017, Use of eddy-covariance methods to \"calibrate\" simple estimators of evapotranspiration, in 2017 ASABE Annual International Meeting, https://doi.org/10.13031/aim.201700912.","ipdsId":"IP-086611","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":344051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fb5e4b0d1f9f065a880","contributors":{"authors":[{"text":"Sumner, David M. 0000-0002-2144-9304 dmsumner@usgs.gov","orcid":"https://orcid.org/0000-0002-2144-9304","contributorId":1362,"corporation":false,"usgs":true,"family":"Sumner","given":"David","email":"dmsumner@usgs.gov","middleInitial":"M.","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true},{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geurink, Jeffrey S. 0000-0002-5354-1172","orcid":"https://orcid.org/0000-0002-5354-1172","contributorId":194870,"corporation":false,"usgs":false,"family":"Geurink","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":705540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":176289,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":705541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189785,"text":"70189785 - 2017 - Numerical simulations of sand production in interbedded hydrate-bearing sediments during depressurization","interactions":[],"lastModifiedDate":"2017-07-26T14:56:02","indexId":"70189785","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Numerical simulations of sand production in interbedded hydrate-bearing sediments during depressurization","docAbstract":"

Geomechanical behavior of hydrate-bearing sediments during gas production is complex, involving changes in hydrate-dependent mechanical properties. When interbedded clay layers are present, the complexity is more pronounced because hydrate dissociation tends to occur preferentially in the sediments adjacent to the clay layers due to clay layers acting as a heat source. This would potentially lead to shearing deformation along the sand/clay contacts and may contribute to solid migration, which hindered past field-scale gas production tests. This paper presents a near-wellbore simulation of sand/clay interbedded hydrate-bearing sediments that have been subjected to depressurization and discusses the effect of clay layers on sand production.

","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":"Uchida, S., Lin, J., Myshakin, E., Seol, Y., Collett, T.S., and Boswell, R., 2017, Numerical simulations of sand production in interbedded hydrate-bearing sediments during depressurization, in Proceeding of the 9th International Conference on Gas Hydrates, Denver, CO, June 25-30, 2017, 10 p.","productDescription":"10 p.","ipdsId":"IP-084858","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":344336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344335,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.netl.doe.gov/File%20Library/Research/Oil-Gas/methane%20hydrates/Uchida-ICGH9-839-SUR1.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5979aa54e4b0ec1a488b8bfe","contributors":{"authors":[{"text":"Uchida, Shun","contributorId":195142,"corporation":false,"usgs":false,"family":"Uchida","given":"Shun","email":"","affiliations":[],"preferred":false,"id":706347,"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":706348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myshakin, Evgeniy","contributorId":195140,"corporation":false,"usgs":false,"family":"Myshakin","given":"Evgeniy","affiliations":[],"preferred":false,"id":706349,"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":706350,"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":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":706346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, Ray","contributorId":195143,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":706351,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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":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},{"id":135,"text":"Biological Resources Division","active":false,"usgs":true}],"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","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":70194211,"text":"70194211 - 2017 - Glacierized headwater streams as aquifer recharge corridors, subarctic Alaska","interactions":[],"lastModifiedDate":"2017-11-17T15:10:22","indexId":"70194211","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Glacierized headwater streams as aquifer recharge corridors, subarctic Alaska","docAbstract":"

Arctic river discharge has increased in recent decades although sources and mechanisms remain debated. Abundant literature documents permafrost thaw and mountain glacier shrinkage over the past decades. Here we link glacier runoff to aquifer recharge via a losing headwater stream in subarctic Interior Alaska. Field measurements in Jarvis Creek (634 km2), a subbasin of the Tanana and Yukon Rivers, show glacier meltwater runoff as a large component (15–28%) of total annual streamflow despite low glacier cover (3%). About half of annual headwater streamflow is lost to the aquifer (38 to 56%). The estimated long-term change in glacier-derived aquifer recharge exceeds the observed increase in Tanana River base flow. Our findings suggest a linkage between glacier wastage, aquifer recharge along the headwater stream corridor, and lowland winter discharge. Accordingly, glacierized headwater streambeds may serve as major aquifer recharge zones in semiarid climates and therefore contributing to year-round base flow of lowland rivers.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL073834","usgsCitation":"Lilledahl, A.K., Gadeke, A., O’Neel, S., Gatesman, T.A., and Douglas, T.A., 2017, Glacierized headwater streams as aquifer recharge corridors, subarctic Alaska: Geophysical Research Letters, v. 44, no. 13, p. 6876-6885, https://doi.org/10.1002/2017GL073834.","productDescription":"10 p.","startPage":"6876","endPage":"6885","ipdsId":"IP-076195","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":469713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl073834","text":"Publisher Index Page"},{"id":349073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153,\n 62\n ],\n [\n -141,\n 62\n ],\n [\n -141,\n 65\n ],\n [\n -153,\n 65\n ],\n [\n -153,\n 62\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"13","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-15","publicationStatus":"PW","scienceBaseUri":"5a60fb8ee4b06e28e9c23277","contributors":{"authors":[{"text":"Lilledahl, Anna K.","contributorId":200576,"corporation":false,"usgs":false,"family":"Lilledahl","given":"Anna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gadeke, Anne","contributorId":191059,"corporation":false,"usgs":false,"family":"Gadeke","given":"Anne","email":"","affiliations":[],"preferred":false,"id":722685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gatesman, T. A.","contributorId":200577,"corporation":false,"usgs":false,"family":"Gatesman","given":"T.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douglas, T. A.","contributorId":200579,"corporation":false,"usgs":false,"family":"Douglas","given":"T.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192700,"text":"70192700 - 2017 - Seasonal fecundity and costs to λ are more strongly affected by direct than indirect predation effects across species","interactions":[],"lastModifiedDate":"2017-11-08T14:39:26","indexId":"70192700","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":"Seasonal fecundity and costs to λ are more strongly affected by direct than indirect predation effects across species","docAbstract":"

Increased perceived predation risk can cause behavioral and physiological responses to reduce direct predation mortality, but these responses can also cause demographic costs through reduced reproductive output. Such indirect costs of predation risk have received increased attention in recent years, but the relative importance of direct vs. indirect predation costs to population growth (λ) across species remains unclear. We measured direct nest predation rates as well as indirect benefits (i.e., reduced predation rates) and costs (i.e., decreased reproductive output) arising from parental responses to perceived offspring predation risk for 10 songbird species breeding along natural gradients in nest predation risk. We show that reductions in seasonal fecundity from behavioral responses to perceived predation risk represent significant demographic costs for six of the 10 species. However, demographic costs from these indirect predation effects on seasonal fecundity comprised only 12% of cumulative predation costs averaged across species. In contrast, costs from direct predation mortality comprised 88% of cumulative predation costs averaged across species. Demographic costs from direct offspring predation were relatively more important for species with higher within-season residual-reproductive value (i.e., multiple-brooded species) than for species with lower residual-reproductive value (i.e., single-brooded species). Costs from indirect predation effects were significant across single- but not multiple-brooded species. Ultimately, demographic costs from behavioral responses to offspring predation risk differed among species as a function of their life-history strategies. Yet direct predation mortality generally wielded a stronger influence than indirect effects on seasonal fecundity and projected λ across species.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1860","usgsCitation":"LaManna, J.A., and Martin, T.E., 2017, Seasonal fecundity and costs to λ are more strongly affected by direct than indirect predation effects across species: Ecology, v. 98, no. 7, p. 1829-1838, https://doi.org/10.1002/ecy.1860.","productDescription":"10 p.","startPage":"1829","endPage":"1838","ipdsId":"IP-075836","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","volume":"98","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-08","publicationStatus":"PW","scienceBaseUri":"5a0425b6e4b0dc0b45b45344","contributors":{"authors":[{"text":"LaManna, Joseph A.","contributorId":171738,"corporation":false,"usgs":false,"family":"LaManna","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716734,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190050,"text":"70190050 - 2017 - Integration of vegetation community spatial data into a prescribed fire planning process at Shenandoah National Park, Virginia (USA)","interactions":[],"lastModifiedDate":"2018-03-28T14:27:13","indexId":"70190050","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Integration of vegetation community spatial data into a prescribed fire planning process at Shenandoah National Park, Virginia (USA)","docAbstract":"

Many eastern forest communities depend on fire for regeneration or are enhanced by fire as a restoration practice. However, the use of prescribed fire in the mesic forested environments and the densely populated regions of the eastern United States has been limited. The objective of our research was to develop a science-based approach to prioritizing the use of prescribed fire in appropriate forest types in the eastern United States based on a set of desired management outcomes. Through a process of expert elicitation and data analysis, we assessed and integrated recent vegetation community mapping results along with other available spatial data layers into a spatial prioritization tool for prescribed fire planning at Shenandoah National Park (Virginia, USA). The integration of vegetation spatial data allowed for development of per-pixel priority rankings and exclusion areas enabling precise targeting of fire management activities on the ground, as well as a park-wide ranking of fire planning compartments. We demonstrate the use and evaluation of this approach through implementation and monitoring of a prescribed burn and show that progress is being made toward desired conditions. Integration of spatial data into the fire planning process has served as a collaborative tool for the implementation of prescribed fire projects, which assures projects will be planned in the most appropriate areas to meet objectives that are supported by current science.

","language":"English","publisher":"Natural Areas Association","doi":"10.3375/043.037.0312","usgsCitation":"Young, J.A., Mahan, C.G., and Forder, M., 2017, Integration of vegetation community spatial data into a prescribed fire planning process at Shenandoah National Park, Virginia (USA): Natural Areas Journal, v. 37, no. 3, p. 394-405, https://doi.org/10.3375/043.037.0312.","productDescription":"12 p.","startPage":"394","endPage":"405","ipdsId":"IP-066214","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":352864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","volume":"37","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee854e4b0da30c1bfc426","contributors":{"authors":[{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":707326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahan, Carolyn G.","contributorId":146582,"corporation":false,"usgs":false,"family":"Mahan","given":"Carolyn","email":"","middleInitial":"G.","affiliations":[{"id":12754,"text":"Penn State University Altoona","active":true,"usgs":false}],"preferred":false,"id":707327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forder, Melissa","contributorId":195517,"corporation":false,"usgs":false,"family":"Forder","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":707328,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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":70192800,"text":"70192800 - 2017 - A database and probabilistic assessment methodology for carbon dioxide enhanced oil recovery and associated carbon dioxide retention in the United States","interactions":[],"lastModifiedDate":"2018-07-31T14:02:18","indexId":"70192800","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5215,"text":"Energy Procedia","onlineIssn":"1876-6102","active":true,"publicationSubtype":{"id":10}},"title":"A database and probabilistic assessment methodology for carbon dioxide enhanced oil recovery and associated carbon dioxide retention in the United States","docAbstract":"

The U.S. Geological Survey (USGS) has developed an assessment methodology for estimating the potential incremental technically recoverable oil resources resulting from carbon dioxide-enhanced oil recovery (CO2-EOR) in reservoirs with appropriate depth, pressure, and oil composition. The methodology also includes a procedure for estimating the CO2 that remains in the reservoir after the CO2-EOR process is complete. The methodology relies on a reservoir-level database that incorporates commercially available geologic and engineering data. The mathematical calculations of this assessment methodology were tested and produced realistic results for the Permian Basin Horseshoe Atoll, Upper Pennsylvanian-Wolfcampian Play (Texas, USA). The USGS plans to use the new methodology to conduct an assessment of technically recoverable hydrocarbons and associated CO2 sequestration resulting from CO2-EOR in the United States.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2017.03.1847","usgsCitation":"Warwick, P.D., Verma, M., Attanasi, E., Olea, R.A., Blondes, M., Freeman, P., Brennan, S.T., Merrill, M., Jahediesfanjani, H., Roueche, J., and Lohr, C., 2017, A database and probabilistic assessment methodology for carbon dioxide enhanced oil recovery and associated carbon dioxide retention in the United States: Energy Procedia, v. 114, p. 7055-7059, https://doi.org/10.1016/j.egypro.2017.03.1847.","productDescription":"5 p.","startPage":"7055","endPage":"7059","ipdsId":"IP-079968","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2017.03.1847","text":"Publisher Index Page"},{"id":350441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb8fe4b06e28e9c2328e","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verma, Mahendra K. mverma@usgs.gov","contributorId":1027,"corporation":false,"usgs":true,"family":"Verma","given":"Mahendra K.","email":"mverma@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":716979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":716980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":139555,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo","email":"rolea@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":716982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, Philip 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":198729,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip","email":"pfreeman@usgs.gov","affiliations":[],"preferred":false,"id":716983,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brennan, Sean T. 0000-0002-7102-9359 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":559,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":716984,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Merrill, Matthew D. 0000-0003-3766-847X mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":145534,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","email":"mmerrill@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716985,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166 hjahediesfanjani@usgs.gov","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":193397,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","email":"hjahediesfanjani@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716986,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roueche, Jacqueline jroueche@usgs.gov","contributorId":198730,"corporation":false,"usgs":true,"family":"Roueche","given":"Jacqueline","email":"jroueche@usgs.gov","affiliations":[],"preferred":true,"id":716987,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":716988,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70193453,"text":"70193453 - 2017 - Lake nutrient stoichiometry is less predictable than nutrient concentrations at regional and sub-continental scales","interactions":[],"lastModifiedDate":"2018-04-02T16:36:14","indexId":"70193453","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":"Lake nutrient stoichiometry is less predictable than nutrient concentrations at regional and sub-continental scales","docAbstract":"

Production in many ecosystems is co-limited by multiple elements. While a known suite of drivers associated with nutrient sources, nutrient transport, and internal processing controls concentrations of phosphorus (P) and nitrogen (N) in lakes, much less is known about whether the drivers of single nutrient concentrations can also explain spatial or temporal variation in lake N:P stoichiometry. Predicting stoichiometry might be more complex than predicting concentrations of individual elements because some drivers have similar relationships with N and P, leading to a weak relationship with their ratio. Further, the dominant controls on elemental concentrations likely vary across regions, resulting in context dependent relationships between drivers, lake nutrients and their ratios. Here, we examine whether known drivers of N and P concentrations can explain variation in N:P stoichiometry, and whether explaining variation in stoichiometry differs across regions. We examined drivers of N:P in ~2,700 lakes at a sub-continental scale and two large regions nested within the sub-continental study area that have contrasting ecological context, including differences in the dominant type of land cover (agriculture vs. forest). At the sub-continental scale, lake nutrient concentrations were correlated with nutrient loading and lake internal processing, but stoichiometry was only weakly correlated to drivers of lake nutrients. At the regional scale, drivers that explained variation in nutrients and stoichiometry differed between regions. In the Midwestern U.S. region, dominated by agricultural land use, lake depth and the percentage of row crop agriculture were strong predictors of stoichiometry because only phosphorus was related to lake depth and only nitrogen was related to the percentage of row crop agriculture. In contrast, all drivers were related to N and P in similar ways in the Northeastern U.S. region, leading to weak relationships between drivers and stoichiometry. Our results suggest ecological context mediates controls on lake nutrients and stoichiometry. Predicting stoichiometry was generally more difficult than predicting nutrient concentrations, but human activity may decouple N and P, leading to better prediction of N:P stoichiometry in regions with high anthropogenic activity.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1545","usgsCitation":"Collins, S.M., Oliver, S., Lapierre, J., Stanley, E.H., Jones, J., Wagner, T., and Soranno, P.A., 2017, Lake nutrient stoichiometry is less predictable than nutrient concentrations at regional and sub-continental scales: Ecological Applications, v. 27, no. 5, p. 1529-1540, https://doi.org/10.1002/eap.1545.","productDescription":"12 p.","startPage":"1529","endPage":"1540","ipdsId":"IP-081679","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-05","publicationStatus":"PW","scienceBaseUri":"5a06c8cbe4b09af898c86111","contributors":{"authors":[{"text":"Collins, Sarah M.","contributorId":172181,"corporation":false,"usgs":false,"family":"Collins","given":"Sarah","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oliver, Samantha K.","contributorId":169273,"corporation":false,"usgs":false,"family":"Oliver","given":"Samantha K.","affiliations":[],"preferred":false,"id":721628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lapierre, Jean-Francois","contributorId":172182,"corporation":false,"usgs":false,"family":"Lapierre","given":"Jean-Francois","email":"","affiliations":[],"preferred":false,"id":721629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":721630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, John R.","contributorId":48459,"corporation":false,"usgs":false,"family":"Jones","given":"John R.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":721631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":719124,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721632,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192825,"text":"70192825 - 2017 - Morphological and molecular characterization of Sarcocystis arctica-like sarcocysts from the Arctic fox (Vulpes lagopus) from Alaska, USA","interactions":[],"lastModifiedDate":"2017-11-01T17:01:34","indexId":"70192825","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3012,"text":"Parasitology Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Morphological and molecular characterization of Sarcocystis arctica-like sarcocysts from the Arctic fox (Vulpes lagopus) from Alaska, USA","title":"Morphological and molecular characterization of Sarcocystis arctica-like sarcocysts from the Arctic fox (Vulpes lagopus) from Alaska, USA","docAbstract":"

The muscles of herbivores commonly harbor sarcocysts of parasites belonging to species in the genus Sarcocystis, but such muscle parasites are rare in carnivores. Here, we report Sarcocystis arctica-like sarcocysts in muscles of Arctic foxes (Vulpes lagopus) from Alaska, USA, for the first time. The tongues of 56 foxes were examined for Sarcocystis infection using several methods. Sarcocystis bradyzoites were detected in pepsin digests of 13 (23.2%), and sarcocysts were found in histological sections stained with hematoxylin and eosin (HE) of 9 (16.0%). By light microscopy, sarcocysts were up to 4 mm long and up to 245 μm wide. In HE-stained sections, the sarcocyst wall appeared smooth and up to 1.5 μm thick without visible protrusions. By transmission electron microscopy, the sarcocyst wall had a wavy parasitophorous vacuolar membrane (pvm) folded as pleomorphic villar protrusions (vp), sometimes with anastomoses of villar tips. The vp and the ground substance (gs) layer were smooth and without microtubules. The gs was up to 2.0 μm thick. The total width of the wall including vp and the gs was up to 4.0 μm. The vp were up to 3.0 μm long and most closely resembled “type 9c.” All sarcocysts were mature and contained numerous 8.1 × 2.1 μm sized bradyzoites. Molecular characterization (at 18S rDNA, 28S rDNA, ITS-1, and cox1) showed the highest affinity for S. arctica of the Arctic fox (V. lagopus) from Norway. In the present investigation, we provide evidence that sarcocysts are common in tongues of Alaskan Arctic foxes suggesting that these carnivores are serving as intermediate hosts, and we also provide ultrastructure of S. arctica from the Arctic fox for the first time.

","language":"English","publisher":"Springer","doi":"10.1007/s00436-017-5462-6","usgsCitation":"Cerqueira-Cezar, C.K., Thompson, P.C., Verma, S.K., Mowery, J., Calero-Bernal, R., Antunes Murata, F.H., Sinnett, D.R., Van Hemert, C.R., Rosenthal, B.M., and Dubey, J.P., 2017, Morphological and molecular characterization of Sarcocystis arctica-like sarcocysts from the Arctic fox (Vulpes lagopus) from Alaska, USA: Parasitology Research, v. 116, no. 7, p. 1871-1878, https://doi.org/10.1007/s00436-017-5462-6.","productDescription":"8 p.","startPage":"1871","endPage":"1878","ipdsId":"IP-085305","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":348061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"116","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"59fadd22e4b0531197b13c8e","contributors":{"authors":[{"text":"Cerqueira-Cezar, Camila K.","contributorId":199060,"corporation":false,"usgs":false,"family":"Cerqueira-Cezar","given":"Camila","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":719244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Peter C.","contributorId":199475,"corporation":false,"usgs":false,"family":"Thompson","given":"Peter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":719245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verma, Shiv K.","contributorId":167589,"corporation":false,"usgs":false,"family":"Verma","given":"Shiv","email":"","middleInitial":"K.","affiliations":[{"id":24764,"text":"US Department of Agriculture, Agricultural Research Service, Animal Parasitic Diseases Laboratory, Beltsville, MD, 20705-2350","active":true,"usgs":false}],"preferred":false,"id":719246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mowery, Joseph","contributorId":199476,"corporation":false,"usgs":false,"family":"Mowery","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":719247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calero-Bernal, Rafael","contributorId":199477,"corporation":false,"usgs":false,"family":"Calero-Bernal","given":"Rafael","email":"","affiliations":[],"preferred":false,"id":719248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Antunes Murata, Fernando H.","contributorId":199478,"corporation":false,"usgs":false,"family":"Antunes Murata","given":"Fernando","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":719249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sinnett, David R.","contributorId":199479,"corporation":false,"usgs":false,"family":"Sinnett","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":719250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":719251,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rosenthal, Benjamin M.","contributorId":199480,"corporation":false,"usgs":false,"family":"Rosenthal","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719252,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dubey, Jitender P.","contributorId":41707,"corporation":false,"usgs":true,"family":"Dubey","given":"Jitender","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":719253,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}