{"pageNumber":"121","pageRowStart":"3000","pageSize":"25","recordCount":10457,"records":[{"id":70193141,"text":"70193141 - 2016 - Nesting ecology of Whimbrels in boreal Alaska","interactions":[],"lastModifiedDate":"2017-11-21T13:43:44","indexId":"70193141","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"title":"Nesting ecology of Whimbrels in boreal Alaska","docAbstract":"

Breeding ecology studies of boreal waders have been relatively scarce in North America. This paucity is due in part to boreal habitats being difficult to access, and boreal waders being widely dispersed and thus difficult to monitor. Between 2008 and 2014 we studied the nesting ecology of Whimbrels Numenius phaeopus hudsonicus in interior Alaska, a region characterized by an active wildfire regime. Our objectives were to (1) describe the nesting ecology of Whimbrels in tundra patches within the boreal forest, (2) assess the influence of habitat features at multiple scales on nest-site selection, and (3) characterize factors affecting nest survival. Whimbrels nested in the largest patches and exhibited a consistently compressed annual breeding schedule. We hypothesized that these Whimbrels would exhibit synchronous and clustered nesting, but observed synchronous nesting in only 2009 and 2011, and evidence of clustered nesting at just one study area in 2009, providing limited support for the hypothesis. Nests tended to be on hummocks and exhibited lateral concealment around the bowl, suggesting a trade-off between a greater view from the nest and concealment. However, our analysis failed to identify other important habitat features at scales from 1–400 m from the nest. Our best-supported nest survival model showed a strong difference between our two main study areas, but this difference remains largely unexplained. Given the increased frequency, severity, and extent of wildfires predicted under climate change scenarios, our study highlights the importance of monitoring the persistence of boreal tundra patches and the Whimbrels breeding therein.

","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00037","usgsCitation":"Harwood, C.M., Gill, R., and Powell, A., 2016, Nesting ecology of Whimbrels in boreal Alaska: Wader Study, v. 123, no. 2, p. 99-113, https://doi.org/10.18194/ws.00037.","productDescription":"15 p.","startPage":"99","endPage":"113","ipdsId":"IP-070372","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kanuti National Wildlife Refuge","volume":"123","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-25","publicationStatus":"PW","scienceBaseUri":"5a60fcd3e4b06e28e9c24389","contributors":{"authors":[{"text":"Harwood, Christopher M.","contributorId":40515,"corporation":false,"usgs":true,"family":"Harwood","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":723064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":718089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":718088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188433,"text":"70188433 - 2016 - Synthesis and revision of the lithostratigraphic groups and formations in the Upper Permian?–Lower Jurassic Newark Supergroup of eastern North America","interactions":[],"lastModifiedDate":"2017-06-09T14:35:50","indexId":"70188433","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis and revision of the lithostratigraphic groups and formations in the Upper Permian?–Lower Jurassic Newark Supergroup of eastern North America","docAbstract":"

The Upper Permian? - Lower Jurassic Newark Supergroup of eastern North America has a strikingly uniform succession of lithologic units. This uniformity is seen regardless of whether these units are characterized on the basis of their lithostratigraphy, allostratigraphy, biostratigraphy, or chemostratigraphy. After deposition, these units were broken up tectonically and attacked erosionally; parts of them survive today only within localized, down-faulted areas. Many lines of evidence compellingly demonstrate that most or all of these remnant units once were physically continuous between remaining outcrops. It is needlessly confusing to give every remnant of each unit a different name in each area where it persists simply because it is now physically isolated by erosion from other portions of the same unit. Instead, these units should be defined within a regional lithostratigraphic framework that emphasizes their common origins and original stratigraphic continuity. To this end, the formation-level stratigraphy of the Newark Supergroup is reduced from 58 locally applied and locally defined formations to a succession of only 16 uniformly defined and regionally recognizable formations. In all cases the oldest name validly applied to each formation is given priority over more recently erected synonymous names, which are either abandoned or, in a few cases, changed in rank to a member of one of the formations recognized here. The Newark Supergroup is here organized into four regionally recognizable groups, each subdivided into regionally recognizable formations. In ascending order, the Upper Permian?-Middle Triassic Acadia Group (new name) includes the Honeycomb Point Formation, Chedabucto Formation, Economy Formation, and Evangeline Formation. This group is preserved only in the Canadian Fundy and Chedabucto basins. The Upper Triassic (Carnian-Norian) Chatham Group includes the Doswell Formation, Stockton Formation, Lockatong Formation, and Passaic Formation. The Upper Triassic-Lower Jurassic (upper Rhaetian-lower Hettangian) Meriden Group includes the Talcott Formation, Shuttle Meadow Formation, Holyoke Formation, East Berlin Formation, and Hampden Formation. The term \"Agawam Group,\" previously proposed to encompass all Newark Supergroup strata above the highest basalt of the Meriden Group, is here abandoned and replaced with the name \"Portland Group\" for the same suite of strata. The Lower Jurassic (upper Hettangian-lower Sinemurian) Portland Group includes a lower Boonton Formation, an overlying Longmeadow Sandstone (here reinstated), and the Mount Toby Conglomerate, which laterally intertongues with both the Boonton Formation and the Longmeadow Sandstone. 

","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Weems, R.E., Tanner, L.H., and Lucas, S.G., 2016, Synthesis and revision of the lithostratigraphic groups and formations in the Upper Permian?–Lower Jurassic Newark Supergroup of eastern North America: Stratigraphy, v. 13, no. 2, p. 111-153.","productDescription":"43 p.","startPage":"111","endPage":"153","ipdsId":"IP-070837","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342332,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-326/article-1988"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593bb3a1e4b0764e6c60e7b8","contributors":{"authors":[{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":697716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanner, Lawrence H.","contributorId":192775,"corporation":false,"usgs":false,"family":"Tanner","given":"Lawrence","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":697717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lucas, Spencer G.","contributorId":192776,"corporation":false,"usgs":false,"family":"Lucas","given":"Spencer","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":697718,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70184319,"text":"70184319 - 2016 - Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA","interactions":[],"lastModifiedDate":"2017-03-07T16:08:31","indexId":"70184319","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA","docAbstract":"

The Columbia River Littoral Cell (CRLC), a high-wave-energy littoral system, extends 160 km alongshore, generally north of the large Columbia River, and 10–15 km in across-shelf distance from paleo-beach backshores to about 50 m present water depths. Onshore drill holes (19 in number and 5–35 m in subsurface depth) and offshore vibracores (33 in number and 1–5 m in subsurface depth) constrain inner-shelf sand grain sizes (sample means 0.13–0.25 mm) and heavy mineral source indicators (> 90% Holocene Columbia River sand) of the inner-shelf facies (≥ 90% fine sand). Stratigraphic correlation of the transgressive ravinement surface in onshore drill holes and in offshore seismic reflection profiles provide age constraints (0–12 ka) on post-ravinement inner-shelf deposits, using paleo-sea level curves and radiocarbon dates. Post-ravinement deposit thickness (1–50 m) and long-term sedimentation rates (0.4–4.4 m ka− 1) are positively correlated to the cross-shelf gradients (0.36–0.63%) of the transgressive ravinement surface. The total post-ravinement fill volume of fine littoral sand (2.48 × 1010 m3) in the inner-shelf represents about 2.07 × 106 m3 year− 1 fine sand accumulation rate during the last 12 ka, or about one third of the estimated middle- to late-Holocene Columbia River bedload or sand discharge (5–6 × 106 m3 year− 1) to the littoral zone. The fine sand accumulation in the inner-shelf represents post-ravinement accommodation space resulting from 1) geometry and depth of the transgressive ravinement surface, 2) post-ravinement sea-level rise, and 3) fine sand dispersal in the inner-shelf by combined high-wave-energy and geostrophic flow/down-welling drift currents during major winter storms.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.05.007","usgsCitation":"Peterson, C.D., Twichell, D.C., Roberts, M.C., Vanderburgh, S., and Hostetler, S.W., 2016, Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA: Marine Geology, v. 379, p. 140-156, https://doi.org/10.1016/j.margeo.2016.05.007.","productDescription":"17 p.","startPage":"140","endPage":"156","ipdsId":"IP-075517","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":488567,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pdxscholar.library.pdx.edu/geology_fac/96","text":"External Repository"},{"id":336980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","volume":"379","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f1e4b014cc3a3ba495","contributors":{"authors":[{"text":"Peterson, C. D.","contributorId":187596,"corporation":false,"usgs":false,"family":"Peterson","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twichell, D. C.","contributorId":187597,"corporation":false,"usgs":false,"family":"Twichell","given":"D.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, M. C.","contributorId":187598,"corporation":false,"usgs":false,"family":"Roberts","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderburgh, S.","contributorId":187599,"corporation":false,"usgs":false,"family":"Vanderburgh","given":"S.","email":"","affiliations":[],"preferred":false,"id":680995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":680991,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70171464,"text":"70171464 - 2016 - First steps for mitigating bycatch of Pink-footed Shearwaters Ardenna creatopus: Identifying overlap of foraging areas and fisheries in Chile","interactions":[],"lastModifiedDate":"2016-09-08T11:49:42","indexId":"70171464","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"First steps for mitigating bycatch of Pink-footed Shearwaters Ardenna creatopus: Identifying overlap of foraging areas and fisheries in Chile","docAbstract":"The Pink-footed Shearwater, Ardenna creatopus, is listed as in danger of extinction by Chile and under Annex 1 of ACAP, with an estimated global population of approximately 56,000 individuals. Incidental bycatch of this species in fisheries is thought to be an important cause in population decline (i.e. annual estimated mortality of >1000 adults).\r\nThis species is an endemic breeder in Chile, nesting only on the Juan Fernandez Archipelago (JFI; 30% of global population), and Isla Mocha (70% of global population). Using miniature GPS and satellite transmitters, we determined foraging areas of Pink-footed Shearwaters during the chick-rearing period in 2002 (JFI) and 2015-2016 (Isla Mocha). We overlaid shearwater tracking data with data from the Instituto de Fomento Pesquero (IFOP) on fishing effort in Chile (type of fishery, number sets per day, location of sets, and target species) to identify fisheries and fishing zones with the greatest potential for Pink-footed Shearwater bycatch.\r\nDuring the 2002-2006 (N = 28 birds total) and 2015 (N = 18 birds) breeding periods, foraging areas were associated with the continental shelf and shelf-break, generally less than 30 km offshore. All foraging trips occurred between 31.5 and 40.0 degrees south, and birds remained in Chile territorial waters 100% of the time. We identified two primary foraging hotspots, one offshore near Talcahuano, Chile (approximately 36-37.5° south), and one offshore north of Valdivia, Chile (approximately 39-39.5° south). Birds tracked from the Juan Fernández Archipelago foraged in the Talcahuano hotspot but did not visit the southerly hotspot near Valdivia. Birds tracked from Isla Mocha used both areas, with a greater proportion of birds using the Valdivia hotspot than the Talcahuano hotspot. Other major areas of use were around the respective breeding colonies from which the birds were tracked.\r\nOverlay of these data with fisheries data is currently in progress. Preliminary results indicate extensive overlap of Pink-footed Shearwater foraging grounds with industrial and artisanal purse-seine fisheries within Chile, representing a significant risk of bycatch. Further work could be initiated to track Pink-footed Shearwaters during other life-stages (i.e. pre-breeding and incubation), and would enhance collaborative efforts with fisheries managers and fishers concerned with mitigating bycatch.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Seventh Meeting of the Seabird Bycatch Working Group","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh Meeting of the Seabird Bycatch Working Group","conferenceDate":"May 2-4, 2016","conferenceLocation":"La Serena, Chile","language":"English","publisher":"Agreement on the Conservation of Albatroses and Petrels","usgsCitation":"Carle, R., Felis, J.J., López, V., Adams, J., Hodum, P., Beck, J., Colodro, V., Vega, R., and Gonzalez, A., 2016, First steps for mitigating bycatch of Pink-footed Shearwaters Ardenna creatopus: Identifying overlap of foraging areas and fisheries in Chile, in Seventh Meeting of the Seabird Bycatch Working Group, La Serena, Chile, May 2-4, 2016.","ipdsId":"IP-075469","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321940,"type":{"id":15,"text":"Index Page"},"url":"https://www.acap.aq/en/search14?q=First+steps+for+mitigating+bycatch+of+Pink-footed+Shearwaters+Ardenna+creatopus%3A+Identifying+overlap+of+foraging+areas+and+fisheries+in+Chile"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bade4b0571647d0f930","contributors":{"authors":[{"text":"Carle, Ryan 0000-0002-8213-4306","orcid":"https://orcid.org/0000-0002-8213-4306","contributorId":169799,"corporation":false,"usgs":false,"family":"Carle","given":"Ryan","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":631100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"López, Verónica","contributorId":169800,"corporation":false,"usgs":false,"family":"López","given":"Verónica","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":631098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodum, Peter 0000-0003-2160-5132","orcid":"https://orcid.org/0000-0003-2160-5132","contributorId":169797,"corporation":false,"usgs":false,"family":"Hodum","given":"Peter","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Jessie","contributorId":169807,"corporation":false,"usgs":false,"family":"Beck","given":"Jessie","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Colodro, Valentina 0000-0001-9285-3171","orcid":"https://orcid.org/0000-0001-9285-3171","contributorId":169798,"corporation":false,"usgs":false,"family":"Colodro","given":"Valentina","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631104,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vega, Rodrigo","contributorId":169808,"corporation":false,"usgs":false,"family":"Vega","given":"Rodrigo","email":"","affiliations":[{"id":25600,"text":"Instituto de Fomento Pesquero","active":true,"usgs":false}],"preferred":false,"id":631105,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gonzalez, Andres","contributorId":169809,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Andres","email":"","affiliations":[{"id":25600,"text":"Instituto de Fomento Pesquero","active":true,"usgs":false}],"preferred":false,"id":631106,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70176125,"text":"70176125 - 2016 - Allometric and temporal scaling of movement characteristics in Galapagos tortoises","interactions":[],"lastModifiedDate":"2016-08-29T10:33:53","indexId":"70176125","displayToPublicDate":"2016-08-29T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Allometric and temporal scaling of movement characteristics in Galapagos tortoises","docAbstract":"
  1. Understanding how individual movement scales with body size is of fundamental importance in predicting ecological relationships for diverse species. One-dimensional movement metrics scale consistently with body size yet vary over different temporal scales. Knowing how temporal scale influences the relationship between animal body size and movement would better inform hypotheses about the efficiency of foraging behaviour, the ontogeny of energy budgets, and numerous life-history trade-offs.
  2. We investigated how the temporal scaling of allometric patterns in movement varies over the course of a year, specifically during periods of motivated (directional and fast movement) and unmotivated (stationary and tortuous movement) behaviour. We focused on a recently diverged group of species that displays wide variation in movement behaviour – giant Galapagos tortoises (Chelonoidis spp.) – to test how movement metrics estimated on a monthly basis scaled with body size.
  3. We used state-space modelling to estimate seven different movement metrics of Galapagos tortoises. We used log-log regression of the power law to evaluate allometric scaling for these movement metrics and contrasted relationships by species and sex.
  4. Allometric scaling of movement was more apparent during motivated periods of movement. During this period, allometry was revealed at multiple temporal intervals (hourly, daily and monthly), with values observed at daily and monthly intervals corresponding most closely to the expected one-fourth scaling coefficient, albeit with wide credible intervals. We further detected differences in the magnitude of scaling among taxa uncoupled from observed differences in the temporal structuring of their movement rates.
  5. Our results indicate that the definition of temporal scales is fundamental to the detection of allometry of movement and should be given more attention in movement studies. Our approach not only provides new conceptual insights into temporal attributes in one-dimensional scaling of movement, but also generates valuable insights into the movement ecology of iconic yet poorly understood Galapagos giant tortoises.
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2656.12561","usgsCitation":"Bastille-Rousseau, G., Yackulic, C.B., Frair, J.L., Cabrera, F., and Blake, S., 2016, Allometric and temporal scaling of movement characteristics in Galapagos tortoises: Journal of Animal Ecology, v. 85, no. 5, p. 1171-1181, https://doi.org/10.1111/1365-2656.12561.","productDescription":"11 p.","startPage":"1171","endPage":"1181","ipdsId":"IP-066348","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470637,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12561","text":"Publisher Index Page"},{"id":327985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-21","publicationStatus":"PW","scienceBaseUri":"57c54e9ce4b0f2f0cebc9862","contributors":{"authors":[{"text":"Bastille-Rousseau, Guillaume","contributorId":169986,"corporation":false,"usgs":false,"family":"Bastille-Rousseau","given":"Guillaume","affiliations":[{"id":25645,"text":"State Uni. of New York","active":true,"usgs":false}],"preferred":false,"id":647271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":647270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frair, Jacqueline L.","contributorId":140184,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline","email":"","middleInitial":"L.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":647272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cabrera, Freddy","contributorId":174102,"corporation":false,"usgs":false,"family":"Cabrera","given":"Freddy","email":"","affiliations":[],"preferred":false,"id":647273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blake, Stephen","contributorId":65339,"corporation":false,"usgs":false,"family":"Blake","given":"Stephen","email":"","affiliations":[{"id":30787,"text":"Saint Louis University","active":true,"usgs":false},{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":647274,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176123,"text":"70176123 - 2016 - Niche shifts and energetic condition of songbirds in response to phenology of food-resource availability in a high-elevation sagebrush ecosystem","interactions":[],"lastModifiedDate":"2017-10-24T15:12:26","indexId":"70176123","displayToPublicDate":"2016-08-29T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Niche shifts and energetic condition of songbirds in response to phenology of food-resource availability in a high-elevation sagebrush ecosystem","docAbstract":"

Seasonal fluctuations in food availability can affect diets of consumers, which in turn may influence the physiological state of individuals and shape intra- and inter-specific patterns of resource use. High-elevation ecosystems often exhibit a pronounced seasonal “pulse” in productivity, although few studies document how resource use and energetic condition by avian consumers change in relation to food-resource availability in these ecosystems. We tested the hypothesis that seasonal increases (pulses) in food resources in high-elevation sagebrush ecosystems result in 2 changes after the pulse, relative to the before-pulse period: (1) reduced diet breadth of, and overlap between, 2 sympatric sparrow species; and (2) enhanced energetic condition in both species. We tracked breeding-season diets using stable isotopes and energetic condition using plasma metabolites of Brewer's Sparrows (Spizella breweri), Vesper Sparrows (Pooecetes gramineus), and their food resources during 2011, and of only Brewer's Sparrows and their food resources during 2013. We quantify diet breadth and overlap between both species, along with coincident physiological consequences of temporal changes in resource use. After invertebrate biomass increased following periods of rainfall in 2011, dietary breadth decreased by 35% in Brewer's Sparrows and by 48% in Vesper Sparrows, while dietary overlap decreased by 88%. Energetic condition of both species increased when dietary overlap was lower and diet breadth decreased, after the rapid rise of food-resource availability. However, energetic condition of Brewer's Sparrows remained constant in 2013, a year with low precipitation and lack of a strong pulse in food resources, even though the species' dietary breadth again decreased that year. Our results indicate that diet breadth and overlap in these sparrow species inhabiting sagebrush ecosystems generally varied as predicted in relation to intra- and interannual changes in food resources, and this difference in diet was associated with improved energetic condition of sparrows at least in one year.

","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-16-4.1","usgsCitation":"Cutting, K.A., Anderson, M.L., Beever, E., Schroff, S., Korb, N., Klaphake, E., and McWilliams, S.R., 2016, Niche shifts and energetic condition of songbirds in response to phenology of food-resource availability in a high-elevation sagebrush ecosystem: The Auk, v. 133, no. 4, p. 685-697, https://doi.org/10.1642/AUK-16-4.1.","productDescription":"13 p.","startPage":"685","endPage":"697","ipdsId":"IP-060109","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470639,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-16-4.1","text":"Publisher Index Page"},{"id":327979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"133","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c54e9fe4b0f2f0cebc986a","contributors":{"authors":[{"text":"Cutting, Kyle A.","contributorId":44479,"corporation":false,"usgs":true,"family":"Cutting","given":"Kyle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":647259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Michelle L.","contributorId":174095,"corporation":false,"usgs":false,"family":"Anderson","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":27357,"text":"Department of Biology, University of Montana Western, Dillon, MT, USA","active":true,"usgs":false}],"preferred":false,"id":647260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":647258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schroff, Sean","contributorId":174096,"corporation":false,"usgs":false,"family":"Schroff","given":"Sean","email":"","affiliations":[{"id":27358,"text":"Dept. of Animal and Range Sciences, Montana State University, Bozeman, MT, USA","active":true,"usgs":false}],"preferred":false,"id":647261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korb, Nathan","contributorId":174097,"corporation":false,"usgs":false,"family":"Korb","given":"Nathan","email":"","affiliations":[{"id":27359,"text":"The Nature Conservancy, Helena, MT, USA","active":true,"usgs":false}],"preferred":false,"id":647262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klaphake, Eric","contributorId":174098,"corporation":false,"usgs":false,"family":"Klaphake","given":"Eric","email":"","affiliations":[{"id":27360,"text":"Cheyenne Mountain Zoo, Colorado Springs, CO, USA","active":true,"usgs":false}],"preferred":false,"id":647263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McWilliams, Scott R.","contributorId":172328,"corporation":false,"usgs":false,"family":"McWilliams","given":"Scott","email":"","middleInitial":"R.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":647264,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176104,"text":"70176104 - 2016 - Seasonal variation exceeds effects of salmon carcass additions on benthic food webs in the Elwha River","interactions":[],"lastModifiedDate":"2016-08-30T09:48:16","indexId":"70176104","displayToPublicDate":"2016-08-26T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variation exceeds effects of salmon carcass additions on benthic food webs in the Elwha River","docAbstract":"

Dam removal and other fish barrier removal projects in western North America are assumed to boost freshwater productivity via the transport of marine-derived nutrients from recolonizing Pacific salmon (Oncorhynchus spp.). In anticipation of the removal of two hydroelectric dams on the Elwha River in Washington State, we tested this hypothesis with a salmon carcass addition experiment. Our study was designed to examine how background nutrient dynamics and benthic food webs vary seasonally, and how these features respond to salmon subsidies. We conducted our experiment in six side channels of the Elwha River, each with a spatially paired reference and treatment reach. Each reach was sampled on multiple occasions from October 2007 to August 2008, before and after carcass placement. We evaluated nutrient limitation status; measured water chemistry, periphyton, benthic invertebrates, and juvenile rainbow trout (O. mykiss) response; and traced salmon-derived nutrient uptake using stable isotopes. Outside of winter, algal accrual was limited by both nitrogen and phosphorous and remained so even in the presence of salmon carcasses. One month after salmon addition, dissolved inorganic nitrogen levels doubled in treatment reaches. Two months after addition, benthic algal accrual was significantly elevated. We detected no changes in invertebrate or fish metrics, with the exception of 15N enrichment. Natural seasonal variability was greater than salmon effects for the majority of our response metrics. Yet seasonality and synchronicity of nutrient supply and demand are often overlooked in nutrient enhancement studies. Timing and magnitude of salmon-derived nitrogen utilization suggest that uptake of dissolved nutrients was favored over direct consumption of carcasses. The highest proportion of salmon-derived nitrogen was incorporated by herbivores (18–30%) and peaked 1–2 months after carcass addition. Peak nitrogen enrichment in predators (11–16%) occurred 2–3 months after addition. All taxa returned to background δ15N levels by 7 months. Since this study was conducted, both dams on the Elwha River were removed over 2011–2014 to open over 90% of the basin to anadromous fishes. We anticipate that as the full portfolio of salmon species expands through the basin, nutrient supply and demand will come into better balance.

","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1422","usgsCitation":"Morley, S., Coe, H., Duda, J., Dunphy, L., McHenry, M., Beckman, B., Elofson, M., Sampson, E.M., and Ward, L., 2016, Seasonal variation exceeds effects of salmon carcass additions on benthic food webs in the Elwha River: Ecosphere, v. 7, no. 8, https://doi.org/10.1002/ecs2.1422.","productDescription":"19 p.","startPage":"article e01422","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065535","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1422","text":"Publisher Index Page"},{"id":327875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-18","publicationStatus":"PW","scienceBaseUri":"57c15a21e4b0f2f0ceb8baa3","contributors":{"authors":[{"text":"Morley, S.A.","contributorId":49619,"corporation":false,"usgs":true,"family":"Morley","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":647116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coe, H.J.","contributorId":174061,"corporation":false,"usgs":false,"family":"Coe","given":"H.J.","email":"","affiliations":[{"id":27351,"text":"Ocean Associates, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":647118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duda, J.J. 0000-0001-7431-8634","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":105073,"corporation":false,"usgs":true,"family":"Duda","given":"J.J.","affiliations":[],"preferred":false,"id":647115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunphy, L.S.","contributorId":174060,"corporation":false,"usgs":false,"family":"Dunphy","given":"L.S.","email":"","affiliations":[{"id":27350,"text":"School of Aquatic and Fishery Sciences, UW, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":647117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McHenry, M.L.","contributorId":29476,"corporation":false,"usgs":true,"family":"McHenry","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":647119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beckman, B.R.","contributorId":51941,"corporation":false,"usgs":true,"family":"Beckman","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":647120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elofson, M.","contributorId":174064,"corporation":false,"usgs":false,"family":"Elofson","given":"M.","affiliations":[{"id":27352,"text":"Natural Resources Dept., Lower Elwha Klallam Tribe, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":647121,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sampson, E. M.","contributorId":174139,"corporation":false,"usgs":false,"family":"Sampson","given":"E.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":647122,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ward, L.","contributorId":30934,"corporation":false,"usgs":true,"family":"Ward","given":"L.","affiliations":[],"preferred":false,"id":647123,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70176038,"text":"70176038 - 2016 - The Eastern California Shear Zone as the northward extension of the southern San Andreas Fault","interactions":[],"lastModifiedDate":"2016-08-24T11:23:20","indexId":"70176038","displayToPublicDate":"2016-08-23T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"The Eastern California Shear Zone as the northward extension of the southern San Andreas Fault","docAbstract":"

Cluster analysis offers an agnostic way to organize and explore features of the current GPS velocity field without reference to geologic information or physical models using information only contained in the velocity field itself. We have used cluster analysis of the Southern California Global Positioning System (GPS) velocity field to determine the partitioning of Pacific-North America relative motion onto major regional faults. Our results indicate the large-scale kinematics of the region is best described with two boundaries of high velocity gradient, one centered on the Coachella section of the San Andreas Fault and the Eastern California Shear Zone and the other defined by the San Jacinto Fault south of Cajon Pass and the San Andreas Fault farther north. The ~120 km long strand of the San Andreas between Cajon Pass and Coachella Valley (often termed the San Bernardino and San Gorgonio sections) is thus currently of secondary importance and carries lesser amounts of slip over most or all of its length. We show these first order results are present in maps of the smoothed GPS velocity field itself. They are also generally consistent with currently available, loosely bounded geologic and geodetic fault slip rate estimates that alone do not provide useful constraints on the large-scale partitioning we show here. Our analysis does not preclude the existence of smaller blocks and more block boundaries in Southern California. However, attempts to identify smaller blocks along and adjacent to the San Gorgonio section were not successful.

","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015JB012678","usgsCitation":"Thatcher, W.R., Savage, J.C., and Simpson, R.W., 2016, The Eastern California Shear Zone as the northward extension of the southern San Andreas Fault: Journal of Geophysical Research B: Solid Earth, v. 121, no. 4, p. 2904-2914, https://doi.org/10.1002/2015JB012678.","startPage":"2904","endPage":"2914","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066319","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470643,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012678","text":"Publisher Index Page"},{"id":327784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Eastern California Shear Zone","volume":"121","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-08","publicationStatus":"PW","scienceBaseUri":"57c6a08fe4b0f2f0cebdb05b","contributors":{"authors":[{"text":"Thatcher, Wayne R. 0000-0001-6324-545X thatcher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-545X","contributorId":2599,"corporation":false,"usgs":true,"family":"Thatcher","given":"Wayne","email":"thatcher@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":646859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savage, James C. 0000-0002-5114-7673 jasavage@usgs.gov","orcid":"https://orcid.org/0000-0002-5114-7673","contributorId":2412,"corporation":false,"usgs":true,"family":"Savage","given":"James","email":"jasavage@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":646860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simpson, Robert W. simpson@usgs.gov","contributorId":1053,"corporation":false,"usgs":true,"family":"Simpson","given":"Robert","email":"simpson@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":646861,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176540,"text":"70176540 - 2016 - Climate warming reduces fish production and benthic habitat in Lake Tanganyika, one of the most biodiverse freshwater ecosystems","interactions":[],"lastModifiedDate":"2016-09-21T12:35:47","indexId":"70176540","displayToPublicDate":"2016-08-23T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Climate warming reduces fish production and benthic habitat in Lake Tanganyika, one of the most biodiverse freshwater ecosystems","docAbstract":"

Warming climates are rapidly transforming lake ecosystems worldwide, but the breadth of changes in tropical lakes is poorly documented. Sustainable management of freshwater fisheries and biodiversity requires accounting for historical and ongoing stressors such as climate change and harvest intensity. This is problematic in tropical Africa, where records of ecosystem change are limited and local populations rely heavily on lakes for nutrition. Here, using a ∼1,500-y paleoecological record, we show that declines in fishery species and endemic molluscs began well before commercial fishing in Lake Tanganyika, Africa’s deepest and oldest lake. Paleoclimate and instrumental records demonstrate sustained warming in this lake during the last ∼150 y, which affects biota by strengthening and shallowing stratification of the water column. Reductions in lake mixing have depressed algal production and shrunk the oxygenated benthic habitat by 38% in our study areas, yielding fish and mollusc declines. Late-20th century fish fossil abundances at two of three sites were lower than at any other time in the last millennium and fell in concert with reduced diatom abundance and warming water. A negative correlation between lake temperature and fish and mollusc fossils over the last ∼500 y indicates that climate warming and intensifying stratification have almost certainly reduced potential fishery production, helping to explain ongoing declines in fish catches. Long-term declines of both benthic and pelagic species underscore the urgency of strategic efforts to sustain Lake Tanganyika’s extraordinary biodiversity and ecosystem services.

","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1603237113","usgsCitation":"Cohen, A.S., Gergurich, E.L., Kraemer, B.M., McGlue, M., McIntyre, P.B., Russell, J.M., Simmons, J.D., and Swarzenski, P.W., 2016, Climate warming reduces fish production and benthic habitat in Lake Tanganyika, one of the most biodiverse freshwater ecosystems: Proceedings of the National Academy of Sciences, v. 113, no. 34, p. 9563-9568, https://doi.org/10.1073/pnas.1603237113.","productDescription":"6 p.","startPage":"9563","endPage":"9568","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075949","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470647,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1603237113","text":"External 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avian cholera in North American gulls: Scavenging as a primary mechanism for transmission?","interactions":[],"lastModifiedDate":"2016-12-16T11:42:44","indexId":"70175891","displayToPublicDate":"2016-08-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"A pelagic outbreak of avian cholera in North American gulls: Scavenging as a primary mechanism for transmission?","docAbstract":"

Avian cholera, caused by the bacterium Pasteurella multocida, is an endemic disease globally, often causing annual epizootics in North American wild bird populations with thousands of mortalities. From December 2006 to March 2007, an avian cholera outbreak caused mortality in marine birds off the coast of Atlantic Canada, largely centered 300–400 km off the coast of the island of Newfoundland. Scavenging gulls (Larus spp.) were the primary species detected; however, mortality was also identified in Black-legged Kittiwakes (Rissa tridactyla) and one Common Raven (Corvus corax), a nonmarine species. The most common gross necropsy findings in the birds with confirmed avian cholera were acute fibrinous and necrotizing lesions affecting the spleen, air sacs, and pericardium, and nonspecific hepatomegaly and splenomegaly. The etiologic agent, P. multocida serotype 1, was recovered from 77 of 136 carcasses examined, and confirmed or probable avian cholera was diagnosed in 85 cases. Mortality observed in scavenging gull species was disproportionately high relative to their abundance, particularly when compared to nonscavenging species. The presence of feather shafts in the ventricular lumen of the majority of larid carcasses diagnosed with avian cholera suggests scavenging of birds that died from avian cholera as a major mode of transmission. This documentation of an outbreak of avian cholera in a North American pelagic environment affecting primarily scavenging gulls indicates that offshore marine environments may be a component of avian cholera dynamics.

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One of the most challenging fauna to study in situ is the obligate cave fauna because of the difficulty of sampling. Cave-limited species display patchy and restricted distributions, but it is often unclear whether the observed distribution is a sampling artifact or a true restriction in range. Further, the drivers of the distribution could be local environmental conditions, such as cave humidity, or they could be associated with surface features that are surrogates for cave conditions. If surface features can be used to predict the distribution of important cave taxa, then conservation management is more easily obtained. We examined the hypothesis that the presence of major faunal groups of cave obligate species could be predicted based on features of the earth surface. Georeferenced records of cave obligate amphipods, crayfish, fish, isopods, beetles, millipedes, pseudoscorpions, spiders, and springtails within the area of Appalachian Landscape Conservation Cooperative in the eastern United States (Illinois to Virginia and New York to Alabama) were assigned to 20 x 20 km grid cells. Habitat suitability for these faunal groups was modeled using logistic regression with twenty predictor variables within each grid cell, such as percent karst, soil features, temperature, precipitation, and elevation. Models successfully predicted the presence of a group greater than 65% of the time (mean = 88%) for the presence of single grid cell endemics, and for all faunal groups except pseudoscorpions. The most common predictor variables were latitude, percent karst, and the standard deviation of the Topographic Position Index (TPI), a measure of landscape rugosity within each grid cell. The overall success of these models points to a number of important connections between the surface and cave environments, and some of these, especially soil features and topographic variability, suggest new research directions. These models should prove to be useful tools in predicting the presence of species in understudied areas.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0160408","usgsCitation":"Christman, M.C., Doctor, D.H., Niemiller, M.L., Weary, D.J., Young, J.A., Zigler, K.S., and Culver, D.C., 2016, Predicting the occurrence of cave-inhabiting fauna based on features of the earth surface environment: PLoS ONE, v. 11, no. 8, e0160408; 19 p., https://doi.org/10.1371/journal.pone.0160408.","productDescription":"e0160408; 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071204","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0160408","text":"Publisher Index Page"},{"id":330896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Appalachian Landscape Conservation Cooperative","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90,\n 30\n ],\n [\n -90.52734374999999,\n 33.687781758439364\n ],\n [\n -86.7919921875,\n 39.87601941962116\n ],\n [\n -75,\n 45\n ],\n [\n -73.388671875,\n 41.83682786072714\n ],\n [\n -81.03515625,\n 36.03133177633187\n ],\n [\n -90,\n 30\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"582443f4e4b09065cdf3051e","contributors":{"authors":[{"text":"Christman, Mary C.","contributorId":101986,"corporation":false,"usgs":true,"family":"Christman","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":641669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":641670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niemiller, Matthew L.","contributorId":167679,"corporation":false,"usgs":false,"family":"Niemiller","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":641671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":641672,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":641668,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zigler, Kirk S.","contributorId":172694,"corporation":false,"usgs":false,"family":"Zigler","given":"Kirk","email":"","middleInitial":"S.","affiliations":[{"id":27083,"text":"Department of Biology, The University of the South, Sewanee, TN 37383","active":true,"usgs":false}],"preferred":false,"id":641673,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Culver, David C.","contributorId":172695,"corporation":false,"usgs":false,"family":"Culver","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":27084,"text":"Department of Environmental Science, American University, 4400 Massachusetts Ave. NW, Washington, DC 20016","active":true,"usgs":false}],"preferred":false,"id":641674,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70175490,"text":"70175490 - 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Complex ecological networks appear robust to primary extinctions, possibly due to consumers’ tendency to specialize on dependable (available and persistent) resources. However, modifications to the conditions under which the network has evolved might alter resource dependability. Here, we ask whether adaptation to historical conditions can increase community robustness, and whether such robustness can protect communities from collapse when conditions change. Using artificial life simulations, we first evolved digital consumer-resource networks that we subsequently subjected to rapid environmental change. We then investigated how empirical host–parasite networks would respond to historical, random and expected extinction sequences. In both the cases, networks were far more robust to historical conditions than new ones, suggesting that new environmental challenges, as expected under global change, might collapse otherwise robust natural ecosystems.

","language":"English","publisher":"Springer Nature","doi":"10.1038/ncomms12462","collaboration":"European Commission Joint Research Centre","usgsCitation":"Strona, G., and Lafferty, K.D., 2016, Environmental change makes robust ecological networks fragile: Nature Communications, v. 7, Article 12462; 7 p., https://doi.org/10.1038/ncomms12462.","productDescription":"Article 12462; 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075912","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ncomms12462","text":"Publisher Index Page"},{"id":326482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57b2d9a6e4b03bcb010287ba","contributors":{"authors":[{"text":"Strona, Giovanni","contributorId":62940,"corporation":false,"usgs":true,"family":"Strona","given":"Giovanni","email":"","affiliations":[],"preferred":false,"id":645454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":645453,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175462,"text":"70175462 - 2016 - Diversity of fungal endophytes in non-native Phragmites australis in the Great Lakes","interactions":[],"lastModifiedDate":"2016-08-26T11:13:17","indexId":"70175462","displayToPublicDate":"2016-08-12T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Diversity of fungal endophytes in non-native Phragmites australis in the Great Lakes","docAbstract":"

Plant–microbial interactions may play a key role in plant invasions. One common microbial interaction takes place between plants and fungal endophytes when fungi asymptomatically colonize host plant tissues. The objectives of this study were to isolate and sequence fungal endophytes colonizing non-native Phragmites australis in the Great Lakes region to evaluate variation in endophyte community composition among three host tissue types and three geographical regions. We collected entire ramets from multiple clones and populations, surface sterilized plant tissues, and plated replicate tissue samples from leaves, stems, and rhizomes on corn meal agar plates to culture and isolate fungal endophytes. Isolates were then subjected to Sanger sequencing of the ITS region of the nuclear ribosomal DNA. Sequences were compared to fungal databases to define operational taxonomic units (OTUs) that were analyzed statistically for community composition. In total, we obtained 173 endophyte isolates corresponding to 55 OTUs, 39 of which were isolated only a single time. The most common OTU corresponded most closely to Sarocladium strictum and comprised 25 % of all fungal isolates. More OTUs were found in stem tissues, but endophyte diversity was greatest in rhizome tissues. PERMANOVA analyses indicated significant differences in endophyte communities among tissue types, geographical regions, and the interaction between those factors, but no differences among individual ramets were detected. The functional role of the isolated endophytes is not yet known, but one genus isolated here (Stagonospora) has been reported to enhance Phragmites growth. Understanding the diversity and functions of Phragmites endophytes may provide targets for control measures based on disrupting host plant/endophyte interactions.

","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10530-016-1137-y","usgsCitation":"Clay, K., Shearin, Z., Bourke, K., Bickford, W.A., and Kowalski, K., 2016, Diversity of fungal endophytes in non-native Phragmites australis in the Great Lakes: Biological Invasions, v. 18, no. 9, p. 2703-2716, https://doi.org/10.1007/s10530-016-1137-y.","productDescription":"14 p.","startPage":"2703","endPage":"2716","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069956","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.42773437499999,\n 40.64730356252251\n ],\n [\n -93.42773437499999,\n 49.66762782262194\n ],\n [\n -75.5859375,\n 49.66762782262194\n ],\n [\n -75.5859375,\n 40.64730356252251\n ],\n [\n -93.42773437499999,\n 40.64730356252251\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-04","publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd3a","chorus":{"doi":"10.1007/s10530-016-1137-y","url":"http://dx.doi.org/10.1007/s10530-016-1137-y","publisher":"Springer Nature","authors":"Clay Keith, Shearin Zackery R. C., Bourke Kimberly A., Bickford Wesley A., Kowalski Kurt P.","journalName":"Biological Invasions","publicationDate":"4/4/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"4/4/2016"},"contributors":{"authors":[{"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":645340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shearin, Zachery","contributorId":173650,"corporation":false,"usgs":false,"family":"Shearin","given":"Zachery","email":"","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":645339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bourke, Kimberly kbourke@usgs.gov","contributorId":173651,"corporation":false,"usgs":true,"family":"Bourke","given":"Kimberly","email":"kbourke@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645338,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175477,"text":"70175477 - 2016 - Functional role of bacteria from invasive Phragmites australis in promotion of host growth","interactions":[],"lastModifiedDate":"2016-09-16T15:45:17","indexId":"70175477","displayToPublicDate":"2016-08-11T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2729,"text":"Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Functional role of bacteria from invasive Phragmites australis in promotion of host growth","docAbstract":"

We hypothesize that bacterial endophytes may enhance the competitiveness and invasiveness of Phragmites australis. To evaluate this hypothesis, endophytic bacteria were isolated from P. australis. The majority of the shoot meristem isolates represent species from phyla Firmicutes, Proteobacteria, and Actinobacteria. We chose one species from each phylum to characterize further and to conduct growth promotion experiments in Phragmites. Bacteria tested include Bacillus amyloliquefaciens A9a, Achromobacter spanius B1, and Microbacterium oxydans B2. Isolates were characterized for known growth promotional traits, including indole acetic acid (IAA) production, secretion of hydrolytic enzymes, phosphate solubilization, and antibiosis activity. Potentially defensive antimicrobial lipopeptides were assayed for through application of co-culturing experiments and mass spectrometer analysis. B. amyloliquefaciens A9a and M. oxydans B2 produced IAA. B. amyloliquefaciens A9a secreted antifungal lipopeptides. Capability to promote growth of P. australis under low nitrogen conditions was evaluated in greenhouse experiments. All three isolates were found to increase the growth of P. australis under low soil nitrogen conditions and showed increased absorption of isotopic nitrogen into plants. This suggests that the Phragmites microbes we evaluated most likely promote growth of Phragmites by enhanced scavenging of nitrogenous compounds from the rhizosphere and transfer to host roots. Collectively, our results support the hypothesis that endophytic bacteria play a role in enhancing growth of P. australis in natural populations. Gaining a better understanding of the precise contributions and mechanisms of endophytes in enabling P. australis to develop high densities rapidly could lead to new symbiosis-based strategies for management and control of the host.

","language":"English","publisher":"Springer","doi":"10.1007/s00248-016-0793-x","usgsCitation":"Soares, M.A., Li, H., Kowalski, K., Bergen, M., Torres, M.S., and White, J.F., 2016, Functional role of bacteria from invasive Phragmites australis in promotion of host growth: Microbial Ecology, v. 72, no. 2, p. 407-417, https://doi.org/10.1007/s00248-016-0793-x.","productDescription":"10 p.","startPage":"407","endPage":"417","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067030","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.51580047607422,\n 40.53754694556798\n ],\n [\n -74.4876480102539,\n 40.550330732028456\n ],\n [\n -74.47185516357422,\n 40.55372193931024\n ],\n [\n -74.44095611572266,\n 40.55267850920821\n ],\n [\n -74.42550659179688,\n 40.554243648263764\n ],\n [\n -74.40628051757812,\n 40.53650326344772\n ],\n [\n -74.3935775756836,\n 40.51353814357382\n ],\n [\n -74.3990707397461,\n 40.48299278830798\n ],\n [\n -74.40799713134766,\n 40.46836786826194\n ],\n [\n -74.4279098510742,\n 40.458964451811894\n ],\n [\n -74.47769165039062,\n 40.46575594018434\n ],\n [\n -74.5089340209961,\n 40.48952074193398\n ],\n [\n -74.5254135131836,\n 40.51353814357382\n ],\n [\n -74.51580047607422,\n 40.53754694556798\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"72","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-03","publicationStatus":"PW","scienceBaseUri":"57aef33ce4b0fc09faae0377","contributors":{"authors":[{"text":"Soares, M. A.","contributorId":173661,"corporation":false,"usgs":false,"family":"Soares","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":18163,"text":"Federal University of Mato Grosso","active":true,"usgs":false}],"preferred":false,"id":645386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, H-Y","contributorId":173662,"corporation":false,"usgs":false,"family":"Li","given":"H-Y","email":"","affiliations":[{"id":18164,"text":"Kunming University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":645387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergen, M.","contributorId":174655,"corporation":false,"usgs":false,"family":"Bergen","given":"M.","email":"","affiliations":[],"preferred":false,"id":645388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres, M. S.","contributorId":173663,"corporation":false,"usgs":false,"family":"Torres","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":645389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, J. F.","contributorId":173664,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"F.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":645390,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70171791,"text":"ofr20161057 - 2016 - Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014","interactions":[],"lastModifiedDate":"2016-08-11T09:55:24","indexId":"ofr20161057","displayToPublicDate":"2016-08-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1057","title":"Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014","docAbstract":"

Water from the Little Arkansas River is used as source water for artificial recharge of the Equus Beds aquifer, one of the primary water-supply sources for the city of Wichita, Kansas. The U.S. Geological Survey has operated two continuous real-time water-quality monitoring stations since 1995 on the Little Arkansas River in Kansas. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physical properties to compute concentrations of those constituents of interest. Site-specific regression models were originally published in 2000 for the near Halstead and near Sedgwick U.S. Geological Survey streamgaging stations and the site-specific regression models were then updated in 2003. This report updates those regression models using discrete and continuous data collected during May 1998 through August 2014. In addition to the constituents listed in the 2003 update, new regression models were developed for total organic carbon. The real-time computations of water-quality concentrations and loads are available at http://nrtwq.usgs.gov. The water-quality information in this report is important to the city of Wichita because water-quality information allows for real-time quantification and characterization of chemicals of concern (including chloride), in addition to nutrients, sediment, bacteria, and atrazine transported in the Little Arkansas River. The water-quality information in this report aids in the decision making for water treatment before artificial recharge.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161057","collaboration":"Prepared in cooperation with the city of Wichita, Kansas","usgsCitation":"Rasmussen, P.P., Eslick, P.J., and Ziegler, A.C., 2016, Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014: U.S. Geological Survey Open-File Report 2016–1057, 20 p., https://dx.doi.org/10.3133/ofr20161057.","productDescription":"Report: ii, 16 p.; Appendixes 1-2","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073013","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":326275,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057.pdf","text":"Report","size":"783 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057"},{"id":326274,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1057/coverthb.jpg"},{"id":326280,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057_appendix2.pdf","text":"Appendix 2","size":"2.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057 Appendix 2"},{"id":326276,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057_appendix1.pdf","text":"Appendix 1","size":"2.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057 Appendix 1"}],"country":"United States","state":"Kansas","otherGeospatial":"Little Arkansas River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.2,\n 37.75\n ],\n [\n -98.2,\n 38.6\n ],\n [\n -97.25,\n 38.6\n ],\n [\n -97.25,\n 37.75\n ],\n [\n -98.2,\n 37.75\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049

\n

http://ks.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-08-11","noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57ad93a2e4b0d1835676510a","contributors":{"authors":[{"text":"Rasmussen, Patrick P. 0000-0002-3287-6010 pras@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6010","contributorId":3530,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Patrick","email":"pras@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":632395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eslick, Patrick J. peslick@usgs.gov","contributorId":148966,"corporation":false,"usgs":true,"family":"Eslick","given":"Patrick J.","email":"peslick@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":645021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":645022,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176144,"text":"70176144 - 2016 - Determining CO2 storage potential during miscible CO2 enhanced oil recovery: Noble gas and stable isotope tracers","interactions":[],"lastModifiedDate":"2018-02-01T12:31:18","indexId":"70176144","displayToPublicDate":"2016-08-10T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"title":"Determining CO2 storage potential during miscible CO2 enhanced oil recovery: Noble gas and stable isotope tracers","docAbstract":"

Rising atmospheric carbon dioxide (CO2) concentrations are fueling anthropogenic climate change. Geologic sequestration of anthropogenic CO2 in depleted oil reservoirs is one option for reducing CO2 emissions to the atmosphere while enhancing oil recovery. In order to evaluate the feasibility of using enhanced oil recovery (EOR) sites in the United States for permanent CO2 storage, an active multi-stage miscible CO2flooding project in the Permian Basin (North Ward Estes Field, near Wickett, Texas) was investigated. In addition, two major natural CO2 reservoirs in the southeastern Paradox Basin (McElmo Dome and Doe Canyon) were also investigated as they provide CO2 for EOR operations in the Permian Basin. Produced gas and water were collected from three different CO2 flooding phases (with different start dates) within the North Ward Estes Field to evaluate possible CO2 storage mechanisms and amounts of total CO2retention. McElmo Dome and Doe Canyon were sampled for produced gas to determine the noble gas and stable isotope signature of the original injected EOR gas and to confirm the source of this naturally-occurring CO2. As expected, the natural CO2produced from McElmo Dome and Doe Canyon is a mix of mantle and crustal sources. When comparing CO2 injection and production rates for the CO2 floods in the North Ward Estes Field, it appears that CO2 retention in the reservoir decreased over the course of the three injections, retaining 39%, 49% and 61% of the injected CO2 for the 2008, 2010, and 2013 projects, respectively, characteristic of maturing CO2 miscible flood projects. Noble gas isotopic composition of the injected and produced gas for the flood projects suggest no active fractionation, while δ13C\"singleCO2 values suggest no active CO2dissolution into formation water, or mineralization. CO2 volumes capable of dissolving in residual formation fluids were also estimated along with the potential to store pure-phase supercritical CO2. Using a combination of dissolution trapping and residual trapping, both volumes of CO2 currently retained in the 2008 and 2013 projects could be justified, suggesting no major leakage is occurring. These subsurface reservoirs, jointly considered, have the capacity to store up to 9 years of CO2 emissions from an average US powerplant.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijggc.2016.05.008","usgsCitation":"Shelton, J., McIntosh, J.C., Hunt, A.G., Beebe, T.L., Parker, A.D., Warwick, P.D., Drake II, R.M., and McCray, J.E., 2016, Determining CO2 storage potential during miscible CO2 enhanced oil recovery: Noble gas and stable isotope tracers: International Journal of Greenhouse Gas Control, v. 51, p. 239-253, https://doi.org/10.1016/j.ijggc.2016.05.008.","productDescription":"14 p.","startPage":"239","endPage":"253","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069409","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2016.05.008","text":"Publisher Index Page"},{"id":328027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Global management of wetlands to suppress greenhouse gas (GHG) emissions, facilitate carbon (C) sequestration, and reduce atmospheric CO2 concentrations while simultaneously promoting agricultural gains is paramount. However, studies that relate variability in CO2 and CH4 emissions at large spatial scales are limited. We investigated three-year emissions of soil CO2 and CH4 from the primary wetland types of the Liaohe Delta, China, by focusing on a total wetland area of 3287 km2. One percent is Suaeda salsa, 24% is Phragmites australis, and 75% is rice. While S. salsa wetlands are under somewhat natural tidal influence, P. australis and rice are managed hydrologically for paper and food, respectively. Total C emissions from CO2 and CH4 from these wetland soils were 2.9 Tg C/year, ranging from 2.5 to 3.3 Tg C/year depending on the year assessed. Primary emissions were from CO2 (~98%). Photosynthetic uptake of CO2 would mitigate most of the soil CO2 emissions, but CH4 emissions would persist. Overall, CH4 fluxes were high when soil temperatures were >18°C and pore water salinity <18 PSU. CH4 emissions from rice habitat alone in the Liaohe Delta represent 0.2% of CH4 carbon emissions globally from rice. With such a large area and interannual sensitivity in soil GHG fluxes, management practices in the Delta and similar wetlands around the world have the potential not only to influence local C budgeting, but also to influence global biogeochemical cycling.

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The formation of the Isthmus of Panama stands as one of the greatest natural events of the Cenozoic, driving profound biotic transformations on land and in the oceans. Some recent studies suggest that the Isthmus formed many millions of years earlier than the widely recognized age of approximately 3 million years ago (Ma), a result that if true would revolutionize our understanding of environmental, ecological, and evolutionary change across the Americas. To bring clarity to the question of when the Isthmus of Panama formed, we provide an exhaustive review and reanalysis of geological, paleontological, and molecular records. These independent lines of evidence converge upon a cohesive narrative of gradually emerging land and constricting seaways, with formation of the Isthmus of Panama sensu stricto around 2.8 Ma. The evidence used to support an older isthmus is inconclusive, and we caution against the uncritical acceptance of an isthmus before the Pliocene.

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Antonio Carlos, 6627, cep. 31270 010, Belo Horizonte, MG, Brazil","active":true,"usgs":false}],"preferred":false,"id":648028,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"de Queiroz, Alan","contributorId":174339,"corporation":false,"usgs":false,"family":"de Queiroz","given":"Alan","email":"","affiliations":[{"id":27426,"text":"Department of Biology, University of Nevada, Reno 89557-0314, USA","active":true,"usgs":false}],"preferred":false,"id":648029,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Duque-Caro, Herman","contributorId":174340,"corporation":false,"usgs":false,"family":"Duque-Caro","given":"Herman","email":"","affiliations":[{"id":27427,"text":"Academia Colombiana de Ciencias Exactas, Físicas y Naturales, Colombia","active":true,"usgs":false}],"preferred":false,"id":648030,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Eytan, Ron I.","contributorId":174341,"corporation":false,"usgs":false,"family":"Eytan","given":"Ron","email":"","middleInitial":"I.","affiliations":[{"id":27428,"text":"Department of Marine Biology, Texas A&M University at Galveston, Galveston, TX 77553, USA","active":true,"usgs":false}],"preferred":false,"id":648031,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Farris, David W.","contributorId":99360,"corporation":false,"usgs":false,"family":"Farris","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":648032,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gasparini, German M.","contributorId":174342,"corporation":false,"usgs":false,"family":"Gasparini","given":"German","email":"","middleInitial":"M.","affiliations":[{"id":27429,"text":"División Paleontología Vertebrados, Unidades de Investigación, Anexo Museo de La Plata, 122 y 60, CP 1900 La Plata, Buenos Aires Province, Argentina","active":true,"usgs":false}],"preferred":false,"id":648033,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Grosmman, Ethan L.","contributorId":174343,"corporation":false,"usgs":false,"family":"Grosmman","given":"Ethan","email":"","middleInitial":"L.","affiliations":[{"id":27430,"text":"Department of Geology and Geophysics, Texas A&M University, College Station, TX 77843, USA","active":true,"usgs":false}],"preferred":false,"id":648034,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Jackson, Jeremy B. 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A complete understanding of how parasites influence marine ecosystem functioning requires characterizing a broad range of parasite-host interactions while determining the effects of parasitism in a variety of habitats. In deep-sea fishes, the prevalence of parasitism remains poorly understood. Knowledge of ectoparasitism, in particular, is limited because collection methods often cause dislodgment of ectoparasites from their hosts. High-definition video collected during 43 remotely operated vehicle surveys (2013–2014) provided the opportunity to examine ectoparasitism on fishes across habitats (open slope, canyon, seamount, cold seep) and depths (494–4689 m) off the northeastern U.S., while providing high-resolution images and valuable observations of fish behavior. Only 9% (n = 125 individuals) of all observed fishes (25 species) were confirmed with ectoparasites, but higher percentages (∼33%) were observed for some of the most abundant fish species (e.g., Antimora rostrata). Ectoparasites included two copepod families (Lernaeopodidae, Sphyriidae) that infected four host species, two isopod families (Cymothoidae, Aegidae) that infected three host species, and one isopod family (Gnathiidae) that infected 19 host species. Hyperparasitism was also observed. As host diversity declined with depth, ectoparasite diversity declined; only gnathiids were observed at depths down to 3260 m. Thus, gnathiids appear to be the most successful group to infect a diversity of fishes across a broad depth range in the deep sea. For three dominant fishes (A. rostrata, Nezumia bairdii, Synaphobranchus spp.), the abundance and intensity of ectoparasitism peaked in different depths and habitats depending on the host species examined. Notably, gnathiid infections were most intense on A. rostrata, particularly in submarine canyons, suggesting that these habitats may increase ectoparasite infections. Although ectoparasitism is often overlooked in deep-sea benthic communities, our results demonstrate that it occurs widely across a variety of habitats, depths, and locations and is a significant component of deep-sea biodiversity.

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In the 21st century, accelerated sea-level rise and continued coastal development are expected to greatly alter coastal landscapes across the globe. Historically, many coastal ecosystems have responded to sea-level fluctuations via horizontal and vertical movement on the landscape. However, anthropogenic activities, including urbanization and the construction of flood-prevention infrastructure, can produce barriers that impede ecosystem migration. Here we show where tidal saline wetlands have the potential to migrate landward along the northern Gulf of Mexico coast, one of the most sea-level rise sensitive and wetland-rich regions of the world. Our findings can be used to identify migration corridors and develop sea-level rise adaptation strategies to help ensure the continued availability of wetland-associated ecosystem goods and services.

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This paper describes a new, public-domain interface for modeling flow, sediment transport and morphodynamics in rivers and other geophysical flows. The interface is named after the International River Interface Cooperative (iRIC), the group that constructed the interface and many of the current solvers included in iRIC. The interface is entirely free to any user and currently houses thirteen models ranging from simple one-dimensional models through three-dimensional large-eddy simulation models. Solvers are only loosely coupled to the interface so it is straightforward to modify existing solvers or to introduce other solvers into the system. Six of the most widely-used solvers are described in detail including example calculations to serve as an aid for users choosing what approach might be most appropriate for their own applications. The example calculations range from practical computations of bed evolution in natural rivers to highly detailed predictions of the development of small-scale bedforms on an initially flat bed. The remaining solvers are also briefly described. Although the focus of most solvers is coupled flow and morphodynamics, several of the solvers are also specifically aimed at providing flood inundation predictions over large spatial domains. Potential users can download the application, solvers, manuals, and educational materials including detailed tutorials at www.-i-ric.org. The iRIC development group encourages scientists and engineers to use the tool and to consider adding their own methods to the iRIC suite of tools.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2015.09.017","usgsCitation":"Nelson, J.M., Shimizu, Y., Abe, T., Asahi, K., Gamou, M., Inoue, T., Iwasaki, T., Kakinuma, T., Kawamura, S., Kimura, I., Kyuka, T., McDonald, R.R., Nabi, M., Nakatsugawa, M., Simoes, F.J., Takebayashi, H., and Watanabe, Y., 2016, The international river interface cooperative: Public domain flow and morphodynamics software for education and applications: Advances in Water Resources, v. 93, p. 62-74, https://doi.org/10.1016/j.advwatres.2015.09.017.","productDescription":"13 p.","startPage":"62","endPage":"74","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069247","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":326721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b58b6ee4b03bcb0104bca2","contributors":{"authors":[{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":645865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shimizu, Yasuyuki","contributorId":173790,"corporation":false,"usgs":false,"family":"Shimizu","given":"Yasuyuki","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abe, Takaaki","contributorId":173791,"corporation":false,"usgs":false,"family":"Abe","given":"Takaaki","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asahi, Kazutake","contributorId":173792,"corporation":false,"usgs":false,"family":"Asahi","given":"Kazutake","email":"","affiliations":[{"id":27296,"text":"River Link Corporation, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":645868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gamou, Mineyuki","contributorId":173793,"corporation":false,"usgs":false,"family":"Gamou","given":"Mineyuki","email":"","affiliations":[{"id":27297,"text":"Gamou Intelligent Technology, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":645869,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Inoue, Takuya","contributorId":173794,"corporation":false,"usgs":false,"family":"Inoue","given":"Takuya","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645870,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iwasaki, Toshiki","contributorId":173795,"corporation":false,"usgs":false,"family":"Iwasaki","given":"Toshiki","email":"","affiliations":[{"id":17685,"text":"University of Illinois, Champagne-Urbana","active":true,"usgs":false}],"preferred":false,"id":645871,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kakinuma, Takaharu","contributorId":173796,"corporation":false,"usgs":false,"family":"Kakinuma","given":"Takaharu","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645872,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kawamura, Satomi","contributorId":173797,"corporation":false,"usgs":false,"family":"Kawamura","given":"Satomi","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645873,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kimura, Ichiro","contributorId":173798,"corporation":false,"usgs":false,"family":"Kimura","given":"Ichiro","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645874,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kyuka, Tomoko","contributorId":173799,"corporation":false,"usgs":false,"family":"Kyuka","given":"Tomoko","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645875,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":645876,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nabi, Mohamed","contributorId":173800,"corporation":false,"usgs":false,"family":"Nabi","given":"Mohamed","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645877,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nakatsugawa, Makoto","contributorId":173801,"corporation":false,"usgs":false,"family":"Nakatsugawa","given":"Makoto","email":"","affiliations":[{"id":27298,"text":"Muroran Institute of Technology, Hokkaido, Japan","active":true,"usgs":false}],"preferred":false,"id":645878,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Simoes, Francisco J. 0000-0002-0934-9730 frsimoes@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-9730","contributorId":2019,"corporation":false,"usgs":true,"family":"Simoes","given":"Francisco","email":"frsimoes@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":645879,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Takebayashi, Hiroshi","contributorId":173802,"corporation":false,"usgs":false,"family":"Takebayashi","given":"Hiroshi","email":"","affiliations":[{"id":27299,"text":"Kyoto University, Kyoto, Japan","active":true,"usgs":false}],"preferred":false,"id":645880,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Watanabe, Yasunori","contributorId":173803,"corporation":false,"usgs":false,"family":"Watanabe","given":"Yasunori","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645881,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70178871,"text":"70178871 - 2016 - Development and assessment of indices to determine stream fish vulnerability to climate change and habitat alteration","interactions":[],"lastModifiedDate":"2016-12-09T15:35:26","indexId":"70178871","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Development and assessment of indices to determine stream fish vulnerability to climate change and habitat alteration","docAbstract":"

Understanding the future impacts of climate and land use change are critical for long-term biodiversity conservation. We developed and compared two indices to assess the vulnerability of stream fish in Missouri, USA based on species environmental tolerances, rarity, range size, dispersal ability and on the average connectivity of the streams occupied by each species. These two indices differed in how environmental tolerance was classified (i.e., vulnerability to habitat alteration, changes in stream temperature, and changes to flow regimes). Environmental tolerance was classified based on measured species responses to habitat alteration, and extremes in stream temperatures and flow conditions for one index, while environmental tolerance for the second index was based on species’ traits. The indices were compared to determine if vulnerability scores differed by index or state listing status. We also evaluated the spatial distribution of species classified as vulnerable to habitat alteration, changes in stream temperature, and change in flow regimes. Vulnerability scores were calculated for all 133 species with the trait association index, while only 101 species were evaluated using the species response index, because 32 species lacked data to analyze for a response. Scores from the trait association index were greater than the species response index. This is likely due to the species response index's inability to evaluate many rare species, which generally had high vulnerability scores for the trait association index. The indices were consistent in classifying vulnerability to habitat alteration, but varied in their classification of vulnerability due to increases in stream temperature and alterations to flow regimes, likely because extremes in current climate may not fully capture future conditions and their influence on stream fish communities. Both indices showed higher mean vulnerability scores for listed species than unlisted species, which provided a coarse measure of validation. Our indices classified species identified as being in need of conservation by the state of Missouri as highly vulnerable. The distribution of vulnerable species in Missouri showed consistent patterns between indices, with the more forest-dominated, groundwater fed streams in the Ozark subregion generally having higher numbers and proportions of vulnerable species per site than subregions that were agriculturally dominated with more overland flow. These results suggest that both indices will identify similar habitats as conservation action targets despite discrepancies in the classification of vulnerable species. Our vulnerability assessment provides a framework that can be refined and used in other regions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2016.03.013","usgsCitation":"Sievert, N., Paukert, C.P., Tsang, Y., and Infante, D.M., 2016, Development and assessment of indices to determine stream fish vulnerability to climate change and habitat alteration: Ecological Indicators, v. 67, p. 403-416, https://doi.org/10.1016/j.ecolind.2016.03.013.","productDescription":"14 p.","startPage":"403","endPage":"416","ipdsId":"IP-069170","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2016.03.013","text":"Publisher Index Page"},{"id":331824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dee4b077fc20250e0e","chorus":{"doi":"10.1016/j.ecolind.2016.03.013","url":"http://dx.doi.org/10.1016/j.ecolind.2016.03.013","publisher":"Elsevier BV","authors":"Sievert Nicholas A., Paukert Craig P., Tsang Yin-Phan, Infante Dana","journalName":"Ecological Indicators","publicationDate":"8/2016"},"contributors":{"authors":[{"text":"Sievert, Nicholas A. 0000-0003-3160-7596","orcid":"https://orcid.org/0000-0003-3160-7596","contributorId":177341,"corporation":false,"usgs":false,"family":"Sievert","given":"Nicholas A.","affiliations":[],"preferred":false,"id":655396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":655388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tsang, Yin-Phan","contributorId":177342,"corporation":false,"usgs":false,"family":"Tsang","given":"Yin-Phan","email":"","affiliations":[],"preferred":false,"id":655397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Infante, Dana M. 0000-0003-1385-1587","orcid":"https://orcid.org/0000-0003-1385-1587","contributorId":150821,"corporation":false,"usgs":false,"family":"Infante","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":18112,"text":"Dept. of Fisheries and Wildlife,","active":true,"usgs":false}],"preferred":false,"id":655398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185009,"text":"70185009 - 2016 - Microbial pathogens in source and treated waters from drinking water treatment plants in the United States and implications for human health","interactions":[],"lastModifiedDate":"2018-08-07T12:11:38","indexId":"70185009","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Microbial pathogens in source and treated waters from drinking water treatment plants in the United States and implications for human health","docAbstract":"

An occurrence survey was conducted on selected pathogens in source and treated drinking water collected from 25 drinking water treatment plants (DWTPs) in the United States. Water samples were analyzed for the protozoa Giardia and Cryptosporidium (EPA Method 1623); the fungi Aspergillus fumigatus, Aspergillus niger and Aspergillus terreus (quantitative PCR [qPCR]); and the bacteria Legionella pneumophila (qPCR), Mycobacterium avium, M. avium subspecies paratuberculosis, and Mycobacterium intracellulare (qPCR and culture). Cryptosporidium and Giardia were detected in 25% and in 46% of the source water samples, respectively (treated waters were not tested). Aspergillus fumigatus was the most commonly detected fungus in source waters (48%) but none of the three fungi were detected in treated water. Legionella pneumophila was detected in 25% of the source water samples but in only 4% of treated water samples. M. avium and M. intracellulare were both detected in 25% of source water, while all three mycobacteria were detected in 36% of treated water samples. Five species of mycobacteria, Mycobacterium mucogenicum, Mycobacterium phocaicum, Mycobacterium triplex, Mycobacterium fortuitum, and Mycobacterium lentiflavum were cultured from treated water samples. Although these DWTPs represent a fraction of those in the U.S., the results suggest that many of these pathogens are widespread in source waters but that treatment is generally effective in reducing them to below detection limits. The one exception is the mycobacteria, which were commonly detected in treated water, even when not detected in source waters.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.03.214","usgsCitation":"King, D.N., Donohue, M.J., Vesper, S.J., Villegas, E.N., Ware, M.W., Vogel, M.E., Furlong, E., Kolpin, D.W., Glassmeyer, S., and Pfaller, S., 2016, Microbial pathogens in source and treated waters from drinking water treatment plants in the United States and implications for human health: Science of the Total Environment, v. 562, p. 987-995, https://doi.org/10.1016/j.scitotenv.2016.03.214.","productDescription":"9 p.","startPage":"987","endPage":"995","ipdsId":"IP-061631","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470704,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.03.214","text":"Publisher Index Page"},{"id":337446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"562","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7afa1e4b0849ce9795ea8","chorus":{"doi":"10.1016/j.scitotenv.2016.03.214","url":"http://dx.doi.org/10.1016/j.scitotenv.2016.03.214","publisher":"Elsevier BV","authors":"King Dawn N., Donohue Maura J., Vesper Stephen J., Villegas Eric N., Ware Michael W., Vogel Megan E., Furlong Edward F., Kolpin Dana W., Glassmeyer Susan T., Pfaller Stacy","journalName":"Science of The Total Environment","publicationDate":"8/2016"},"contributors":{"authors":[{"text":"King, Dawn N.","contributorId":189145,"corporation":false,"usgs":false,"family":"King","given":"Dawn","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":683968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donohue, Maura J.","contributorId":189146,"corporation":false,"usgs":false,"family":"Donohue","given":"Maura","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vesper, Stephen J.","contributorId":78296,"corporation":false,"usgs":true,"family":"Vesper","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villegas, Eric N.","contributorId":56947,"corporation":false,"usgs":true,"family":"Villegas","given":"Eric","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":683971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ware, Michael W.","contributorId":65357,"corporation":false,"usgs":true,"family":"Ware","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":683972,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vogel, Megan E.","contributorId":189147,"corporation":false,"usgs":false,"family":"Vogel","given":"Megan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683973,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Furlong, Edward","contributorId":62689,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","affiliations":[],"preferred":false,"id":683974,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":683947,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Glassmeyer, Susan T.","contributorId":72924,"corporation":false,"usgs":true,"family":"Glassmeyer","given":"Susan T.","affiliations":[],"preferred":false,"id":683975,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pfaller, Stacy","contributorId":189148,"corporation":false,"usgs":false,"family":"Pfaller","given":"Stacy","email":"","affiliations":[],"preferred":false,"id":683976,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70204518,"text":"70204518 - 2016 - Geochemistry, petrologic evolution, and ore deposits of the Miocene Bodie Hills Volcanic Field, California and Nevada","interactions":[],"lastModifiedDate":"2019-07-31T09:41:18","indexId":"70204518","displayToPublicDate":"2016-07-31T09:26:22","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry, petrologic evolution, and ore deposits of the Miocene Bodie Hills Volcanic Field, California and Nevada","docAbstract":"

The southern segment of the ancestral Cascades magmatic arc includes numerous volcanic fields; among these, the Bodie Hills volcanic field (BHVF), astride the California-Nevada border north of Mono Lake, is one of the largest (>700 km2) and most well studied. Episodic magmatism in the BHVF spanned about 9 million years between about 15 and 6 Ma; magmatic output was greatest between ca. 15.0 to 12.6 Ma and ca. 9.9 to 8.0 Ma.  About two dozen contiguous and coalescing eruptive centers above middle- to shallow-crustal-level reservoirs generated several trachyandesite stratovolcanoes and numerous silicic trachyandesite to rhyolite flow dome complexes whose compositional variations are consistent with fractionation of observed phenocryst phases. BHVF rocks have high-potassium calc-alkaline compositions consistent with generation of subduction-related continental margin arc magmas beneath thick continental crust. Radiogenic isotope ratios in BHVF rocks vary considerably but suggest somewhat enriched, crustal sources; isotopic ratios for some of the more primitive units are consistent with more depleted, mantle sources. Neither age nor whole-rock compositions of BHVF rocks are well correlated with isotopic variations. Textures and compositions of phenocrysts in BHVF rocks are in accord with the associated magma reservoirs evolving via open-system behavior. Reservoir recharge and subsequent incomplete homogenization are evidenced by the broad compositional diversity characteristic of many BHVF eruptive units. Significant compositional diversity among the products of coeval eruptive centers further suggests that centers responsible for BHVF magmatism were underlain by small, discrete, compositionally distinct, and closely spaced reservoirs.
Volcanic rocks of the BHVF host quartz-adularia and quartz-alunite epithermal gold-silver deposits, from which about 3.4 Moz. of gold and 28 Moz. of silver have been produced. The volcanic rocks and contained deposits are broadly coeval, which suggests that the associated magmas are the sources of heat, fluids, and metals involved in deposit genesis. Characteristics of the quartz-adularia deposits are consistent with derivation from near-neutral pH fluids at ≤250 °C, whereas those of the quartz-alunite systems require more acidic, oxidized, and sulfur-rich fluids at temperatures <250 °C. Economically viable precious metal accumulations are in fault-hosted vein deposits in the Bodie and Aurora districts. Circulation of hydrothermal fluids through permeable pyroclastic deposits but lacking prominent structural conduits resulted in large areas of altered but unmineralized rock.

","publisher":"GeoScience World","doi":"10.2138/am-2016-5440","usgsCitation":"du Bray, E.A., John, D.A., Cousens, B., Hayden, L.A., and Vikre, P.G., 2016, Geochemistry, petrologic evolution, and ore deposits of the Miocene Bodie Hills Volcanic Field, California and Nevada: American Mineralogist, v. 101, no. 3, p. 644-677, https://doi.org/10.2138/am-2016-5440.","productDescription":"34 p.","startPage":"644","endPage":"677","ipdsId":"IP-063985","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":486923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2138/am-2016-5440","text":"Publisher Index Page"},{"id":366051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Bodie Hills Volcanic Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.32388305664064,\n 38.01131226070673\n ],\n [\n -119.32388305664064,\n 38.51056455837575\n ],\n [\n -118.65371704101564,\n 38.51056455837575\n ],\n [\n -118.65371704101564,\n 38.01131226070673\n ],\n [\n -119.32388305664064,\n 38.01131226070673\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"du Bray, Edward A. 0000-0002-4383-8394 edubray@usgs.gov","orcid":"https://orcid.org/0000-0002-4383-8394","contributorId":755,"corporation":false,"usgs":true,"family":"du Bray","given":"Edward","email":"edubray@usgs.gov","middleInitial":"A.","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}],"preferred":true,"id":767369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":767370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cousens, Brian L.","contributorId":84038,"corporation":false,"usgs":true,"family":"Cousens","given":"Brian L.","affiliations":[],"preferred":false,"id":767371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayden, Leslie A. lhayden@usgs.gov","contributorId":5926,"corporation":false,"usgs":true,"family":"Hayden","given":"Leslie","email":"lhayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vikre, Peter G. 0000-0001-7895-5972 pvikre@usgs.gov","orcid":"https://orcid.org/0000-0001-7895-5972","contributorId":139033,"corporation":false,"usgs":true,"family":"Vikre","given":"Peter","email":"pvikre@usgs.gov","middleInitial":"G.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":767373,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175058,"text":"70175058 - 2016 - Evaluation of leaf removal as a means to reduce nutrient concentrations and loads in urban stormwater","interactions":[],"lastModifiedDate":"2016-07-28T09:50:40","indexId":"70175058","displayToPublicDate":"2016-07-28T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of leaf removal as a means to reduce nutrient concentrations and loads in urban stormwater","docAbstract":"
\n

While the sources of nutrients to urban stormwater are many, the primary contributor is often organic detritus, especially in areas with dense overhead tree canopy. One way to remove organic detritus before it becomes entrained in runoff is to implement a city-wide leaf collection and street cleaning program. Improving our knowledge of the potential reduction of nutrients to stormwater through removal of leaves and other organic detritus on streets could help tailor more targeted municipal leaf collection programs. This study characterized an upper ideal limit in reductions of total and dissolved forms of phosphorus and nitrogen in stormwater through implementation of a municipal leaf collection and street cleaning program in Madison, WI, USA. Additional measures were taken to remove leaf litter from street surfaces prior to precipitation events.

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Loads of total and dissolved phosphorus were reduced by 84 and 83% (p < 0.05), and total and dissolved nitrogen by 74 and 71% (p < 0.05) with an active leaf removal program. Without leaf removal, 56% of the annual total phosphorus yield (winter excluded) was due to leaf litter in the fall compared to 16% with leaf removal. Despite significant reductions in load, total nitrogen showed only minor changes in fall yields without and with leaf removal at 19 and 16%, respectively. The majority of nutrient concentrations were in the dissolved fraction making source control through leaf removal one of the few treatment options available to environmental managers when reducing the amount of dissolved nutrients in stormwater runoff. Subsequently, the efficiency, frequency, and timing of leaf removal and street cleaning are the primary factors to consider when developing a leaf management program.

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","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.07.003","usgsCitation":"Selbig, W.R., 2016, Evaluation of leaf removal as a means to reduce nutrient concentrations and loads in urban stormwater: Science of the Total Environment, v. 571, p. 124-133, https://doi.org/10.1016/j.scitotenv.2016.07.003.","productDescription":"10 p.","startPage":"124","endPage":"133","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075776","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":438581,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76971Q2","text":"USGS data release","linkHelpText":"Concentration of total and dissolved forms of phosphorus and nitrogen from the control and test catchment during the calibration and treatment phase in Madison, WI (2013 - 2015)"},{"id":325766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Madison","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.5220947265625,\n 43.013685032366915\n ],\n [\n -89.5220947265625,\n 43.135065496929194\n ],\n [\n -89.29412841796875,\n 43.135065496929194\n ],\n [\n -89.29412841796875,\n 43.013685032366915\n ],\n [\n -89.5220947265625,\n 43.013685032366915\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"571","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579b1e9ee4b0589fa1c951c5","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643739,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}