The Sauk River is a federally designated Wild and Scenic River that drains a relatively undisturbed landscape along the western slope of the North Cascade Mountain Range, Washington, which includes the glaciated volcano, Glacier Peak. Naturally high sediment loads characteristic of basins draining volcanoes like Glacier Peak make the Sauk River a dominant contributor of sediment to the downstream main stem river, the Skagit River. Additionally, the Sauk River serves as important spawning and rearing habitat for several salmonid species in the greater Skagit River system. Because of the importance of sediment to morphology, flow-conveyance, and ecosystem condition, there is interest in understanding the magnitude and timing of suspended sediment and turbidity from the Sauk River system and its principal tributaries, the White Chuck and Suiattle Rivers, to the Skagit River.
Suspended-sediment measurements, turbidity data, and water temperature data were collected at two U.S. Geological Survey streamgages in the upper and middle reaches of the Sauk River over a 4-year period extending from October 2011 to September 2015, and at a downstream location in the lower river for a 5-year period extending from October 2011 to September 2016. Over the collective 5-year study period, mean annual suspended-sediment loads at the three streamgages on the upper, middle, and lower Sauk River streamgages were 94,200 metric tons (t), 203,000 t, and 940,000 t streamgages, respectively. Fine (smaller than 0.0625 millimeter) total suspended-sediment load averaged 49 percent at the upper Sauk River streamgage, 42 percent at the middle Sauk River streamgage, and 34 percent at the lower Sauk River streamgage.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175113","collaboration":"Prepared in cooperation with Sauk-Suiattle Indian Tribe","usgsCitation":"Jaeger, K.L., Curran, C.A., Anderson, S.W., Morris, S.T., Moran, P.W., and Reams, K.A., 2017, Suspended sediment, turbidity, and stream water temperature in the Sauk River Basin, Washington, water years 2012–16: U.S. Geological Survey Scientific Investigations Report 2017–5113, 47 p., https://doi.org/10.3133/sir20175113.","productDescription":"Report: vii, 47 p.; Appendix; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-087993","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":347907,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5113/sir20175113.pdf","text":"Report","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 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934 Broadway, Suite 300
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Burbot Lota lota in the lower Kootenai River, Idaho, have been the focus of extensive conservation efforts, particularly the release of hatchery-reared juvenile Burbot into small tributaries. The Idaho Department of Fish and Game installed a fixed PIT antenna on Deep Creek, a tributary of the Kootenai River, to evaluate movement of juvenile Burbot to the Kootenai River. Since then, approximately 12,000 juvenile Burbot have been PIT-tagged and released into Deep Creek, but few Burbot have been detected at the antenna, thus raising questions about their fate in the creek. The objectives of this study were to evaluate survival, movement, and distribution of Burbot released into Deep Creek. During 2014, 3,000 age-0, 200 age-1, 16 age-2, and 16 age-4 Burbot were released at two different locations; during 2015, 3,000 age-0 Burbot were released at six different locations (i.e., 500 fish/site). Five additional stationary PIT tag antennas were installed on Deep Creek prior to stocking in 2014. Mobile PIT tag antennas were used to survey the creek in 2015 and 2016. A Barker model in Program MARK was used to estimate survival. Stationary and mobile PIT tag antennas relocated 3,372 (56%) of the Burbot released in Deep Creek during 2014 and 2015. Eighty-eight percent of PIT tags relocated during mobile surveys were relocated within 1 km of a release location. Mobile surveys of release locations in Deep Creek suggested poor dispersal from stocking locations. Survival did not vary across years or release groups. Initial 7-month survival in Deep Creek was 0.27, and survival improved to 0.63 after the first 7 months. Although survival did not differ between years or among release groups, managers may consider releasing Burbot at lower densities across multiple locations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1376010","usgsCitation":"Beard, Z.S., Quist, M.C., Hardy, R.S., and Ross, T.J., 2017, Survival, movement, and distribution of juvenile Burbot in a tributary of the Kootenai River: North American Journal of Fisheries Management, v. 37, no. 6, p. 1274-1288, https://doi.org/10.1080/02755947.2017.1376010.","productDescription":"15 p.","startPage":"1274","endPage":"1288","ipdsId":"IP-084417","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.58279418945312,\n 48.50386733939323\n ],\n [\n -116.2847900390625,\n 48.50386733939323\n ],\n [\n -116.2847900390625,\n 48.700931311842744\n ],\n [\n -116.58279418945312,\n 48.700931311842744\n ],\n [\n -116.58279418945312,\n 48.50386733939323\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-23","publicationStatus":"PW","scienceBaseUri":"5a07e84ce4b09af898c8cb46","contributors":{"authors":[{"text":"Beard, Zachary S.","contributorId":198840,"corporation":false,"usgs":false,"family":"Beard","given":"Zachary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":717343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":720982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, Tyler J.","contributorId":171777,"corporation":false,"usgs":false,"family":"Ross","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193779,"text":"70193779 - 2017 - Perspectives on chemical oceanography in the 21st century: Participants of the COME ABOARD Meeting examine aspects of the field in the context of 40 years of DISCO","interactions":[],"lastModifiedDate":"2017-11-06T10:56:13","indexId":"70193779","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Perspectives on chemical oceanography in the 21st century: Participants of the COME ABOARD Meeting examine aspects of the field in the context of 40 years of DISCO","docAbstract":"The questions that chemical oceanographers prioritize over the coming decades, and the methods we use to address these questions, will define our field's contribution to 21st century science. In recognition of this, the U.S. National Science Foundation and National Oceanic and Atmospheric Administration galvanized a community effort (the Chemical Oceanography MEeting: A BOttom-up Approach to Research Directions, or COME ABOARD) to synthesize bottom-up perspectives on selected areas of research in Chemical Oceanography. Representing only a small subset of the community, COME ABOARD participants did not attempt to identify targeted research directions for the field. Instead, we focused on how best to foster diverse research in Chemical Oceanography, placing emphasis on the following themes: strengthening our core chemical skillset; expanding our tools through collaboration with chemists, engineers, and computer scientists; considering new roles for large programs; enhancing interface research through interdisciplinary collaboration; and expanding ocean literacy by engaging with the public. For each theme, COME ABOARD participants reflected on the present state of Chemical Oceanography, where the community hopes to go and why, and actionable pathways to get there. A unifying concept among the discussions was that dissimilar funding structures and metrics of success may be required to accommodate the various levels of readiness and stages of knowledge development found throughout our community. In addition to the science, participants of the concurrent Dissertations Symposium in Chemical Oceanography (DISCO) XXV, a meeting of recent and forthcoming Ph.D. graduates in Chemical Oceanography, provided perspectives on how our field could show leadership in addressing long-standing diversity and early-career challenges that are pervasive throughout science. Here we summarize the COME ABOARD Meeting discussions, providing a synthesis of reflections and perspectives on the field.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2017.09.002","usgsCitation":"Fassbender, A.J., Palevsky, H.I., Martz, T.R., Ingalls, A.E., Gledhill, M., Fawcett, S.E., Brandes, J., Aluwihare, L., Anderson, R., Bender, S., Boyle, E., Bronk, D., Buesseler, K., Burdige, D.J., Casciotti, K., Close, H., Conte, M., Cutter, G., Estapa, M., Fennel, K., Ferron, S., Glazer, B., Goni, M., Grand, M., Guay, C., Hatta, M., Hayes, C., Horner, T., Ingall, E., Johnson, K.G., Juranek, L., Knapp, A., Lam, P., Luther, G., Matrai, P., Nicholson, D., Paytan, A., Pellenbarg, R., Popendorf, K., Reddy, C.M., Ruttenberg, K., Sabine, C., Sansone, F., Shaltout, N., Sikes, L., Sundquist, E.T., Valentine, D., Wang, Z., Wilson, S., Barrett, P., Behrens, M., Belcher, A., Biermann, L., Boiteau, R., Clarke, J., Collins, J., Coppola, A., Ebling, A.M., Garcia-Tigreros, F., Goldman, J., Guallart, E.F., Haskell, W., Hurley, S., Janssen, D., Johnson, W., Lennhartz, S., Liu, S., Rahman, S., Ray, D., 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2017 - Concepts: Assessing tiger population dynamics using capture–recapture sampling","interactions":[],"lastModifiedDate":"2017-12-21T09:46:04","indexId":"70193180","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Concepts: Assessing tiger population dynamics using capture–recapture sampling","docAbstract":"Capture-recapture can be viewed as an animal survey method in which the count statistic is the total number of animals caught, and the associated detection probability is the probability of capture.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Methods for monitoring tiger and prey populations","language":"English","publisher":"Springer","doi":"10.1007/978-981-10-5436-5_9","usgsCitation":"Royle, J., Gopalaswamy, A.M., Dorazio, R., Nichols, J., Jathanna, D., and Parameshwaran, R., 2017, Concepts: Assessing tiger population dynamics using capture–recapture sampling, chap. of Methods for monitoring tiger and prey populations, p. 163-189, https://doi.org/10.1007/978-981-10-5436-5_9.","productDescription":"27 p.","startPage":"163","endPage":"189","ipdsId":"IP-086080","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-28","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d20","contributors":{"authors":[{"text":"Royle, J. 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Linkages between atmospheric, ecological and biogeochemical variables in the changing Arctic are analyzed using long-term measurements near Utqiaġvik (formerly Barrow), Alaska. Two key variables are the date when snow disappears in spring, as determined primarily by atmospheric dynamics, precipitation, air temperature, winter snow accumulation and cloud cover, as well as the date of onset of snowpack in autumn that is additionally influenced by ocean temperature and sea ice extent. In 2015 and 2016 the snow melted early at Utqiaġvik due mainly to anomalous warmth during May of both years attributed to atmospheric circulation patterns, with 2016 having the record earliest snowmelt. These years are discussed in the context of a 115-year snowmelt record at Utqiaġvik with a trend toward earlier melting since the mid- 1970s (-2.86 days/decade, 1975-2016). At nearby Cooper Island, where a colony of seabirds, Black Guillemots, have been monitored since 1975, timing of egg laying is correlated with Utqiaġvik snowmelt with 2015 and 2016 being the earliest years in the 42-year record. Ice-out at a nearby freshwater lagoon is also correlated with Utqiaġvik snowmelt. The date when snow begins to accumulate in autumn at Utqiaġvik shows a trend towards later dates (+4.6 days/decade, 1975-2016), with 2016 the latest on record. The relationships between the lengthening snow-free season and regional phenology, soil temperatures, fluxes of gases from the tundra, and to regional sea ice conditions are discussed. Better understanding of these interactions is needed to predict the annual snow cycles in the region at seasonal to decadal scales, and to anticipate coupled environmental responses.
Coastal wetlands are important ecosystems for carbon storage and coastal resilience to climate change and sea-level rise. As such, changes in wetland habitat types can also impact ecosystem functions. Our goal was to quantify historical vegetation change within the Nisqually River watershed relevant to carbon storage, wildlife habitat, and wetland sustainability, and identify watershed-scale anthropogenic and hydrodynamic drivers of these changes. To achieve this, we produced time-series classifications of habitat, photosynthetic pathway functional types and species in the Nisqually River Delta for the years 1957, 1980, and 2015. Using an object-oriented approach, we performed a hierarchical classification on historical and current imagery to identify change within the watershed and wetland ecosystems. We found a 188.4 ha (79%) increase in emergent marsh wetland within the Nisqually River Delta between 1957 and 2015 as a result of restoration efforts that occurred in several phases through 2009. Despite these wetland gains, a total of 83.1 ha (35%) of marsh was lost between 1957 and 2015, particularly in areas near the Nisqually River mouth due to erosion and shifting river channels, resulting in a net wetland gain of 105.4 ha (44%). We found the trajectory of wetland recovery coincided with previous studies, demonstrating the role of remote sensing for historical wetland change detection as well as future coastal wetland monitoring.
","language":"English","publisher":"MDPI","doi":"10.3390/su9111919","usgsCitation":"Ballanti, L., Byrd, K.B., Woo, I., and Ellings, C., 2017, Remote sensing for wetland mapping and historical change detection at the Nisqually River Delta: Sustainability, v. 9, no. 11, p. 1-32, https://doi.org/10.3390/su9111919.","productDescription":"Article 1919; 32 p.","startPage":"1","endPage":"32","ipdsId":"IP-090392","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":461355,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su9111919","text":"Publisher Index Page"},{"id":438166,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78G8JN3","text":"USGS data release","linkHelpText":"Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington"},{"id":348593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.74440765380858,\n 47.022631553729966\n ],\n [\n -122.66407012939452,\n 47.022631553729966\n ],\n [\n -122.66407012939452,\n 47.11172875008271\n ],\n [\n -122.74440765380858,\n 47.11172875008271\n ],\n [\n -122.74440765380858,\n 47.022631553729966\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-26","publicationStatus":"PW","scienceBaseUri":"5a06c8c7e4b09af898c860f4","contributors":{"authors":[{"text":"Ballanti, Laurel 0000-0002-6478-8322 lballanti@usgs.gov","orcid":"https://orcid.org/0000-0002-6478-8322","contributorId":198603,"corporation":false,"usgs":true,"family":"Ballanti","given":"Laurel","email":"lballanti@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":716528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":716529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":716530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellings, Christopher","contributorId":146989,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","affiliations":[{"id":16766,"text":"Nisqually Indian Tribe, Dep't of Natural Resources, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":716531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197067,"text":"70197067 - 2017 - Alaska geologic road guides","interactions":[],"lastModifiedDate":"2018-06-12T14:07:08","indexId":"70197067","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Alaska geologic road guides","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska, Fairbanks","usgsCitation":"Nokleberg, W.J., Bundtzen, T., Stone, D., and Mull, C.G., 2017, Alaska geologic road guides, chap. of Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-book.","productDescription":"E-book","ipdsId":"IP-074011","costCenters":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"links":[{"id":354961,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11122/7994"},{"id":354962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e64ee4b060350a15d27a","contributors":{"editors":[{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":737807,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737808,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737809,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":737810,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Stone, David B.","contributorId":65324,"corporation":false,"usgs":true,"family":"Stone","given":"David B.","affiliations":[],"preferred":false,"id":737811,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":737804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, David B.","contributorId":65324,"corporation":false,"usgs":true,"family":"Stone","given":"David B.","affiliations":[],"preferred":false,"id":737805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mull, Charles G.","contributorId":49343,"corporation":false,"usgs":true,"family":"Mull","given":"Charles","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":737806,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193363,"text":"70193363 - 2017 - Rapid exhumation of Cretaceous arc-rocks along the Blue Mountains restraining bend of the Enriquillo-Plantain Garden fault, Jamaica, using thermochronometry from multiple closure systems","interactions":[],"lastModifiedDate":"2017-11-29T16:12:53","indexId":"70193363","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Rapid exhumation of Cretaceous arc-rocks along the Blue Mountains restraining bend of the Enriquillo-Plantain Garden fault, Jamaica, using thermochronometry from multiple closure systems","docAbstract":"The effect of rapid erosion on kinematic partitioning along transpressional plate margins is not well understood, particularly in highly erosive climates. The Blue Mountains restraining bend (BMRB) of eastern Jamaica, bound to the south by the left-lateral Enriquillo-Plantain Garden fault (EPGF), offers an opportunity to test the effects of highly erosive climatic conditions on a 30-km-wide restraining bend system. No previous thermochronometric data exists in Jamaica to describe the spatial or temporal pattern of rock uplift and how oblique (> 20°) plate motion is partitioned into vertical strain. To define the exhumation history, we measured apatite (n = 10) and zircon (n = 6) (U-Th)/He ages, 40Ar/39Ar (n = 2; amphibole and K-spar) ages, and U/Pb zircon (n = 2) crystallization ages. Late Cretaceous U/Pb and 40Ar/39Ar ages (74–68 Ma) indicate rapid cooling following shallow emplacement of plutons during north-south subduction along the Great Caribbean Arc. Early to middle Miocene zircon helium ages (19–14 Ma) along a vertical transect suggest exhumation and island emergence at ~ 0.2 mm/yr. Older zircon ages 10–15 km to the north (44–35 Ma) imply less rock uplift. Apatite helium ages are young (6–1 Ma) across the entire orogen, suggesting rapid exhumation of the BMRB since the late Miocene. These constraints are consistent with previous reports of restraining bend formation and early emergence of eastern Jamaica. An age-elevation relationship from a vertical transect implies an exhumation rate of 0.8 mm/yr, while calculated closure depths and thermal modeling suggests exhumation as rapid as 2 mm/yr. The rapid rock uplift rates in Jamaica are comparable to the most intense transpressive zones worldwide, despite the relatively slow (5–7 mm/yr) strike-slip rate. We hypothesize highly erosive conditions in Jamaica enable a higher fraction of plate motion to be accommodated by vertical deformation. Thus, strike-slip restraining bends may evolve differently depending on erosivity and local climate.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2017.09.021","usgsCitation":"Cochran, W., Spotila, J.A., Prince, P.S., and McAleer, R., 2017, Rapid exhumation of Cretaceous arc-rocks along the Blue Mountains restraining bend of the Enriquillo-Plantain Garden fault, Jamaica, using thermochronometry from multiple closure systems: Tectonophysics, v. 721, p. 292-309, https://doi.org/10.1016/j.tecto.2017.09.021.","productDescription":"18 p.","startPage":"292","endPage":"309","ipdsId":"IP-087567","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":347957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Jamaica","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.5696,18.49053],[-76.89662,18.40087],[-76.36536,18.1607],[-76.19966,17.88687],[-76.90256,17.86824],[-77.20634,17.70112],[-77.76602,17.8616],[-78.33772,18.22597],[-78.21773,18.45453],[-77.79736,18.52422],[-77.5696,18.49053]]]},\"properties\":{\"name\":\"Jamaica\"}}]}","volume":"721","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd1be4b0531197b13c51","contributors":{"authors":[{"text":"Cochran, William J.","contributorId":199373,"corporation":false,"usgs":false,"family":"Cochran","given":"William J.","affiliations":[],"preferred":false,"id":718849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spotila, James A.","contributorId":199374,"corporation":false,"usgs":false,"family":"Spotila","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prince, Philip S.","contributorId":199375,"corporation":false,"usgs":false,"family":"Prince","given":"Philip","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":718851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":718848,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192802,"text":"70192802 - 2017 - Candoia Bibroni (Pacific Boa). Diet","interactions":[],"lastModifiedDate":"2017-11-06T13:50:17","indexId":"70192802","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Candoia Bibroni (Pacific Boa). Diet","docAbstract":"No abstract available.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Clause, A.G., Fraser, M.J., Pene, S., Thomas-Moko, N., and Fisher, R.N., 2017, Candoia Bibroni (Pacific Boa). Diet: Herpetological Review, v. 48, no. 3, p. 667-668.","productDescription":"2 p.","startPage":"667","endPage":"668","ipdsId":"IP-084147","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":348282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347568,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"volume":"48","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e84de4b09af898c8cb48","contributors":{"authors":[{"text":"Clause, Adam G.","contributorId":198734,"corporation":false,"usgs":false,"family":"Clause","given":"Adam","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":717001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fraser, Mark J.","contributorId":198735,"corporation":false,"usgs":false,"family":"Fraser","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pene, Sarah","contributorId":198736,"corporation":false,"usgs":false,"family":"Pene","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":717003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas-Moko, Nunia","contributorId":198737,"corporation":false,"usgs":false,"family":"Thomas-Moko","given":"Nunia","email":"","affiliations":[],"preferred":false,"id":717004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717000,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193355,"text":"70193355 - 2017 - Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA)","interactions":[],"lastModifiedDate":"2017-11-01T10:52:01","indexId":"70193355","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA)","docAbstract":"Sustaining recent progress in mitigating acid pollution could require lower emissions caps that will give rise to real or perceived tradeoffs between healthy ecosystems and inexpensive energy. Because most impacts of acid rain affect ecosystem functions that are poorly understood by policy-makers and the public, an ecosystem services (ES) framework can help to measure how pollution affects human well-being. Focused on the Adirondack region (USA), a global ‘hot-spot’ of acid pollution, we measured how the chronic acidification of the region's forests, lakes, and streams has affected the potential economic and cultural benefits they provide to society. We estimated that acid-impaired hardwood forests provide roughly half of the potential benefits of forests on moderate to well-buffered soils – an estimated loss of ∼ $10,000 ha−1 in net present value of wood products, maple syrup, carbon sequestration, and visual quality. Acidic deposition has had only nominal impact – relative to the effects of surficial geology and till depth – on the capacity of Adirondack lakes and streams to provide water suitable for drinking. However, as pH declines in lakes, the estimated value of recreational fishing decreases significantly due to loss of desirable fish such as trout. Hatchery stocking programs have partially offset the pollution-mediated losses of fishery value, most effectively in the pH range 4.8–5.5, but are costly and limited in scope. Although any estimates of the monetary ‘damages’ of acid rain have significant uncertainties, our findings highlight some of the more tangible economic and cultural benefits of pollution mitigation efforts, which continue to face litigation and political opposition.
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2017 - Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia","interactions":[],"lastModifiedDate":"2017-11-01T11:26:25","indexId":"70193353","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia","docAbstract":"The Early to Middle Triassic Erdenet porphyry Cu-Mo deposit, in northern Mongolia, developed in a continent-continent arc collision zone, within the Central Asian orogenic belt. The porphyry system is related to multiple intrusions of crystal-crowded biotite granodiorite porphyry, which formed a composite stock about 900 m in diameter, with multiple porphyritic microgranodiorite dikes. Wall rocks are Late Permian to Early Triassic, medium-grained granodiorite, with similar whole-rock geochemistry, mineralogy, and composition to the granodiorite porphyry. Whole-rock analysis of the granodiorite porphyry and wall rocks shows that these rocks cannot be discriminated, but both have depleted middle heavy rare earth elements and Y, typical of fertile porphyry magmatic suites.
At the current pit level (1,250 m elev), early porphyry-style quartz veins (A and B type) are locally infilled by pyrite-chalcopyrite, with subordinate bornite, but most of the chalcopyrite occurs in D veins that constitute more than 50% of the Cu grade (~0.5 wt % Cu). The 0.3 wt % Cu shell resembles a molar tooth, enveloping the granodiorite porphyry, with deeper roots extending down the wal-rock contacts. Molybdenite occurs in monomineralic veins, and in finely laminated to massive quartz-molybdenite veins.
The most important alteration is quartz-muscovite, which occurs as relatively coarse (100–500 μm) alteration selvages (1–5 cm) that envelop D veins. The D veins cut illite ± kaolinite-smectite (or intermediate argillic) alteration. Intermediate argillic alteration, together with abundant pink anhydrite (commonly hydrated to gypsum), extends from at least 1,300- to 900-m elevation in the deepest drill holes, and has overprinted early potassic alteration, or relatively unaltered red granodiorite. Meter-wide zones of kaolinite cut the anhydrite-gypsum at all levels. There is an abrupt transition outward from the intermediate argillic alteration to chlorite-epidote (propylitic) alteration, at 50 to 200 m from the granodiorite porphyry contact, although D veins (and chalcopyrite) extend outward to the propylitic zone.
The Erdenet porphyry system, was overprinted by advanced argillic alteration, which outcrops 2 km northwest of the pit, and forms a lithocap that extends over 10 × 2.5 km. It is characterized by residual quartz, andalusite, Na-Ca and K-alunite, diaspore, pyrophyllite, zunyite, topaz, dickite, and kaolinite. The upper part of the porphyry Cu-Mo deposit (removed by mining), comprised a bornite-chalcocite enriched zone up to 300 m thick with an average grade of 0.7 wt % Cu and up to 5 wt % Cu locally. Based on hypogene bornite-chalcocite mineral textures and high-sulfidation state mineralogy, the enriched zone is inferred to be of hypogene origin, but modified by supergene processes. Consequently, it may be related to formation of the lithocap.
Previous Re-Os dates of 240.4 and 240.7 ± 0.8 Ma for molybdenite in quartz veins are comparable to new 40Ar/39Ar dates of 239.7 ± 1.6 and 240 ± 2 Ma for muscovite that envelops D veins. One 40Ar/39Ar date on K-alunite from the lithocap of 223.5 ± 1.9 Ma suggests that it may be about 16 m.y. younger than Erdenet, but this result needs to be verified by further dating.
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","language":"English","publisher":"Wiley","doi":"10.1002/rcm.7948","usgsCitation":"Lazarus, B.E., and Germino, M., 2017, Methodological considerations regarding online extraction of water from soils for stable isotope determination: Rapid Communications in Mass Spectrometry, v. 31, no. 19, p. 1677-1680, https://doi.org/10.1002/rcm.7948.","productDescription":"4 p.","startPage":"1677","endPage":"1680","ipdsId":"IP-084312","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":348046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"19","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-07","publicationStatus":"PW","scienceBaseUri":"59fadd1ee4b0531197b13c69","contributors":{"authors":[{"text":"Lazarus, Brynne E. 0000-0002-6352-486X blazarus@usgs.gov","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":4901,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne","email":"blazarus@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":717587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":717586,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193595,"text":"70193595 - 2017 - Dynamic optimization of landscape connectivity embedding spatial-capture-recapture information","interactions":[],"lastModifiedDate":"2017-11-16T11:37:23","indexId":"70193595","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Dynamic optimization of landscape connectivity embedding spatial-capture-recapture information","docAbstract":"Maintaining landscape connectivity is increasingly important\nin wildlife conservation, especially for species experiencing\nthe effects of habitat loss and fragmentation. We propose a\nnovel approach to dynamically optimize landscape connectivity.\nOur approach is based on a mixed integer program formulation,\nembedding a spatial capture-recapture model that\nestimates the density, space usage, and landscape connectivity\nfor a given species. Our method takes into account the\nfact that local animal density and connectivity change dynamically\nand non-linearly with different habitat protection\nplans. In order to scale up our encoding, we propose a sampling\nscheme via random partitioning of the search space using\nparity functions. We show that our method scales to realworld\nsize problems and dramatically outperforms the solution\nquality of an expectation maximization approach and a\nsample average approximation approach.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI-17)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Thirty-First Conference on Artificial Intelligence (AAAI-17)","conferenceLocation":"San Francisco, CA","language":"English","publisher":"Association for the Advancement of Artificial Intelligence","usgsCitation":"Xue, Y., Wu, X., Morin, D.J., Dilkina, B., Fuller, A.K., Royle, J., and Gomes, C.P., 2017, Dynamic optimization of landscape connectivity embedding spatial-capture-recapture information, in Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, 7 p.","productDescription":"7 p.","ipdsId":"IP-081147","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d18","contributors":{"authors":[{"text":"Xue, Yexiang","contributorId":200458,"corporation":false,"usgs":false,"family":"Xue","given":"Yexiang","email":"","affiliations":[],"preferred":false,"id":722407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Xiaojian","contributorId":200459,"corporation":false,"usgs":false,"family":"Wu","given":"Xiaojian","email":"","affiliations":[],"preferred":false,"id":722408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morin, Dana J.","contributorId":200306,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dilkina, Bistra","contributorId":177110,"corporation":false,"usgs":false,"family":"Dilkina","given":"Bistra","affiliations":[],"preferred":false,"id":722410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. 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Increases in human and livestock populations, associated changes in land use, increases in nutrient loadings, shoreline armoring, and depletion of fish stocks have altered the important habitats within the Bay. Submersed aquatic vegetation (SAV) is a critical foundational habitat and provides numerous benefits and services to society. In Chesapeake Bay, SAV species are also indicators of environmental change because of their sensitivity to water quality and shoreline development. As such, SAV has been deeply integrated into regional regulations and annual assessments of management outcomes, restoration efforts, the scientific literature, and popular media coverage. Even so, SAV in Chesapeake Bay faces many historical and emerging challenges. The future of Chesapeake Bay is indicated by and contingent on the success of SAV. Its persistence will require continued action, coupled with new practices, to promote a healthy and sustainable ecosystem.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/bix058","usgsCitation":"Orth, R.J., Dennison, W.C., Lefcheck, J.S., Gurbisz, C., Hannam, M.P., Keisman, J.L., Landry, J.B., Moore, K.A., Murphy, R., Patrick, C.J., Testa, J., Weller, D.E., and Wilcox, D.J., 2017, Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world: BioScience, v. 67, no. 8, p. 698-712, https://doi.org/10.1093/biosci/bix058.","productDescription":"15 p.","startPage":"698","endPage":"712","ipdsId":"IP-082185","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":469359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bix058","text":"Publisher Index Page"},{"id":349132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.3712158203125,\n 36.848856608486905\n ],\n [\n -75.618896484375,\n 36.848856608486905\n ],\n [\n -75.618896484375,\n 39.609920257000795\n ],\n [\n -77.3712158203125,\n 39.609920257000795\n ],\n [\n -77.3712158203125,\n 36.848856608486905\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d15","contributors":{"authors":[{"text":"Orth, Robert J.","contributorId":140562,"corporation":false,"usgs":false,"family":"Orth","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennison, William C.","contributorId":140570,"corporation":false,"usgs":false,"family":"Dennison","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lefcheck, Jonathon S.","contributorId":199773,"corporation":false,"usgs":false,"family":"Lefcheck","given":"Jonathon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gurbisz, Cassie","contributorId":199774,"corporation":false,"usgs":false,"family":"Gurbisz","given":"Cassie","email":"","affiliations":[],"preferred":false,"id":720013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannam, Michael P.","contributorId":199775,"corporation":false,"usgs":false,"family":"Hannam","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":720014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720009,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Landry, J. 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Mitigating the risk associated with these flows depends upon accurate forecasting of possible impacted areas, often using empirical or physical models. TITAN2D, VolcFlow, LAHARZ, and ΔH/L or energy cone models each employ different rheologies or empirical relationships and therefore differ in appropriateness of application for different types of mass flows and topographic environments. This work seeks to test different statistically- and physically-based models against a range of PDCs of different volumes, emplaced under different conditions, over different topography in order to test the relative effectiveness, operational aspects, and ultimately, the utility of each model for use in hazard assessments. The purpose of this work is not to rank models, but rather to understand the extent to which the different modeling approaches can replicate reality in certain conditions, and to explore the dynamics of PDCs themselves. In this work, these models are used to recreate the inundation areas of the dense-basal undercurrent of all 13 mapped, land-confined, Soufrière Hills Volcano dome-collapse PDCs emplaced from 1996 to 2010 to test the relative effectiveness of different computational models. Best-fit model results and their input parameters are compared with results using observation- and deposit-derived input parameters. Additional comparison is made between best-fit model results and those using empirically-derived input parameters from the FlowDat global database, which represent “forward” modeling simulations as would be completed for hazard assessment purposes. Results indicate that TITAN2D is able to reproduce inundated areas well using flux sources, although velocities are often unrealistically high. VolcFlow is also able to replicate flow runout well, but does not capture the lateral spreading in distal regions of larger-volume flows. Both models are better at reproducing the inundated area of single-pulse, valley-confined, smaller-volume flows than sustained, highly unsteady, larger-volume flows, which are often partially unchannelized. The simple rheological models of TITAN2D and VolcFlow are not able to recreate all features of these more complex flows. LAHARZ is fast to run and can give a rough approximation of inundation, but may not be appropriate for all PDCs and the designation of starting locations is difficult. The ΔH/L cone model is also very quick to run and gives reasonable approximations of runout distance, but does not inherently model flow channelization or directionality and thus unrealistically covers all interfluves. Empirically-based models like LAHARZ and ΔH/L cones can be quick, first-approximations of flow runout, provided a database of similar flows, e.g., FlowDat, is available to properly calculate coefficients or ΔH/L. For hazard assessment purposes, geophysical models like TITAN2D and VolcFlow can be useful for producing both scenario-based or probabilistic hazard maps, but must be run many times with varying input parameters. LAHARZ and ΔH/L cones can be used to produce simple modeling-based hazard maps when run with a variety of input volumes, but do not explicitly consider the probability of occurrence of different volumes. For forward modeling purposes, the ability to derive potential input parameters from global or local databases is crucial, though important input parameters for VolcFlow cannot be empirically estimated. Not only does this work provide a useful comparison of the operational aspects and behavior of various models for hazard assessment, but it also enriches conceptual understanding of the dynamics of the PDCs themselves.
","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2017.00083","usgsCitation":"Ogburn, S.E., and Calder, E.S., 2017, The relative effectiveness of empirical and physical models for simulating the dense undercurrent of pyroclastic flows under different emplacement conditions: Frontiers in Earth Science, v. 5, p. 1-26, https://doi.org/10.3389/feart.2017.00083.","productDescription":"Article 83; 26 p.","startPage":"1","endPage":"26","ipdsId":"IP-087176","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469365,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2017.00083","text":"Publisher Index Page"},{"id":354292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","scienceBaseUri":"5afee7c6e4b0da30c1bfc36a","contributors":{"authors":[{"text":"Ogburn, Sarah E. 0000-0002-4734-2118","orcid":"https://orcid.org/0000-0002-4734-2118","contributorId":204751,"corporation":false,"usgs":true,"family":"Ogburn","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":735757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calder, Eliza S","contributorId":205018,"corporation":false,"usgs":false,"family":"Calder","given":"Eliza","email":"","middleInitial":"S","affiliations":[{"id":37023,"text":"School of Geosciences, University of Edinburgh, Edinburgh, U.K","active":true,"usgs":false}],"preferred":false,"id":735758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193410,"text":"70193410 - 2017 - Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change","interactions":[],"lastModifiedDate":"2017-11-13T11:02:58","indexId":"70193410","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change","docAbstract":"With growing demand and highly variable inter-annual water supplies, California’s water use future is fraught with uncertainty. Climate change projections, anticipated population growth, and continued agricultural intensification, will likely stress existing water supplies in coming decades. Using a state-and-transition simulation modeling approach, we examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand out to 2062. We examined a range of potential water demand futures sampled from a 20-year record of historical (1992–2012) data to develop a suite of potential future land change scenarios, including low/high change scenarios for urbanization and agriculture as well as “lowest of the low” and “highest of the high” anthropogenic use. Future water demand decreased 8.3 billion cubic meters (Bm3) in the lowest of the low scenario and decreased 0.8 Bm3 in the low agriculture scenario. The greatest increased water demand was projected for the highest of the high land use scenario (+9.4 Bm3), high agricultural expansion (+4.6 Bm3), and high urbanization (+2.1 Bm3) scenarios. Overall, these scenarios show agricultural land use decisions will likely drive future demand more than increasing municipal and industrial uses, yet improved efficiencies across all sectors could lead to potential water use savings. Results provide water managers with information on diverging land use and water use futures, based on historical, observed land change trends and water use histories.
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\"}}]}","volume":"12","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-31","publicationStatus":"PW","scienceBaseUri":"5a06c8c6e4b09af898c860e3","contributors":{"authors":[{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":718938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science 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Richard","contributorId":168996,"corporation":false,"usgs":false,"family":"Cameron","given":"D.","email":"","middleInitial":"Richard","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":718940,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193424,"text":"70193424 - 2017 - Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015","interactions":[],"lastModifiedDate":"2018-02-28T09:43:30","indexId":"70193424","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015","title":"Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015","docAbstract":"Mussels are conspicuous and ecologically important components of nearshore marine communities around the globe. Pacific blue mussels (Mytilus trossulus) are common residents of intertidal habitats in protected waters of the North Pacific, serving as a conduit of primary production to a wide range of nearshore consumers including predatory invertebrates, sea ducks, shorebirds, sea otters, humans, and other terrestrial mammals. We monitored seven metrics of intertidal Pacific blue mussel abundance at five sites in each of three regions across the northern Gulf of Alaska: Katmai National Park and Preserve (Katmai) (2006–2015), Kenai Fjords National Park (Kenai Fjords) (2008–2015) and western Prince William Sound (WPWS) (2007–2015). Metrics included estimates of: % cover at two tide heights in randomly selected rocky intertidal habitat; and in selected mussel beds estimates of: the density of large mussels (≥ 20 mm); density of all mussels > 2 mm estimated from cores extracted from those mussel beds; bed size; and total abundance of large and all mussels, i.e. the product of density and bed size. We evaluated whether these measures of mussel abundance differed among sites or regions, whether mussel abundance varied over time, and whether temporal patterns in abundance were site specific, or synchronous at regional or Gulf-wide spatial scales. We found that, for all metrics, mussel abundance varied on a site-by-site basis. After accounting for site differences, we found similar temporal patterns in several measures of abundance (both % cover metrics, large mussel density, large mussel abundance, and mussel abundance estimated from cores), in which abundance was initially high, declined significantly over several years, and subsequently recovered. Averaged across all sites, we documented declines of 84% in large mussel abundance through 2013 with recovery to 41% of initial abundance by 2015. These findings suggest that factors operating across the northern Gulf of Alaska were affecting mussel survival and subsequently abundance. In contrast, density of primarily small mussels obtained from cores (as an index of recruitment), varied markedly by site, but did not show meaningful temporal trends. We interpret this to indicate that settlement was driven by site-specific features rather than Gulf wide factors. By extension, we hypothesize that temporal changes in mussel abundance observed was not a result of temporal variation in larval supply leading to variation in recruitment, but rather suggestive of mortality as a primary demographic factor driving mussel abundance. Our results highlight the need to better understand underlying mechanisms of change in mussels, as well as implications of that change to nearshore consumers.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2017.04.008","usgsCitation":"Bodkin, J.L., Coletti, H.A., Ballachey, B.E., Monson, D., Esler, D., and Dean, T.A., 2017, Variation in abundance of Pacific Blue Mussel (Mytilus trossulus) in the Northern Gulf of Alaska, 2006–2015: Deep Sea Research Part II: Topical Studies in Oceanography, v. 147, p. 87-97, https://doi.org/10.1016/j.dsr2.2017.04.008.","productDescription":"11 p.","startPage":"87","endPage":"97","ipdsId":"IP-079564","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":461363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2017.04.008","text":"Publisher Index Page"},{"id":348052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.40136718749997,\n 56.80087831233043\n ],\n [\n -146.689453125,\n 56.80087831233043\n ],\n [\n -146.689453125,\n 61.01572481397616\n ],\n [\n -156.40136718749997,\n 61.01572481397616\n ],\n [\n -156.40136718749997,\n 56.80087831233043\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd19e4b0531197b13c48","contributors":{"authors":[{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coletti, Heather A.","contributorId":187561,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dean, Thomas A.","contributorId":187562,"corporation":false,"usgs":false,"family":"Dean","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193284,"text":"70193284 - 2017 - High altitude flights by ruddy shelduck Tadorna ferruginea during trans-Himalayan migrations","interactions":[],"lastModifiedDate":"2017-11-01T16:41:04","indexId":"70193284","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High altitude flights by ruddy shelduck Tadorna ferruginea during trans-Himalayan migrations","title":"High altitude flights by ruddy shelduck Tadorna ferruginea during trans-Himalayan migrations","docAbstract":"Birds that migrate across high altitude mountain ranges are faced with the challenge of maintaining vigorous exercise in environments with limited oxygen. Ruddy shelducks are known to use wintering grounds south of the Tibetan Plateau at sea level and breeding grounds north of Himalayan mountain range. Therefore, it is likely these shelducks are preforming high altitude migrations. In this study we analyse satellite telemetry data collected from 15 ruddy shelduck from two populations wintering south of the Tibetan Plateau from 2007 to 2011. During north and south migrations ruddy shelduck travelled 1481 km (range 548–2671 km) and 1238 km (range 548–2689 km) respectively. We find mean maximum altitudes of birds in flight reached 5590 m (range of means 4755–6800 m) and mean maximum climb rates of 0.45 m s–1 (range 0.23–0.74 m s–1). The ruddy shelduck is therefore an extreme high altitude migrant that has likely evolved a range of physiological adaptations in order to complete their migrations.
","language":"English","publisher":"Wiley","doi":"10.1111/jav.01443","usgsCitation":"Parr, N., Bearhop, S., Douglas, D.C., Takekawa, J., Prosser, D.J., Newman, S., Perry, W., Balachandran, S., Witt, M., Hou, Y., Lu, Z., and Hawkes, L., 2017, High altitude flights by ruddy shelduck Tadorna ferruginea during trans-Himalayan migrations: Journal of Avian Biology, v. 48, no. 10, p. 1310-1315, https://doi.org/10.1111/jav.01443.","productDescription":"6 p.","startPage":"1310","endPage":"1315","ipdsId":"IP-080832","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469368,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10871/31703","text":"External Repository"},{"id":348054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, India, Mongolia, Myanmar, Nepal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 80,\n 15\n ],\n [\n 102,\n 15\n ],\n [\n 102,\n 50\n ],\n [\n 80,\n 50\n ],\n [\n 80,\n 15\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd1de4b0531197b13c62","contributors":{"authors":[{"text":"Parr, N.","contributorId":199268,"corporation":false,"usgs":false,"family":"Parr","given":"N.","email":"","affiliations":[],"preferred":false,"id":718531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bearhop, S.","contributorId":199269,"corporation":false,"usgs":false,"family":"Bearhop","given":"S.","email":"","affiliations":[],"preferred":false,"id":718532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, J.Y.","contributorId":199270,"corporation":false,"usgs":false,"family":"Takekawa","given":"J.Y.","email":"","affiliations":[],"preferred":false,"id":718533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":718534,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newman, S.H.","contributorId":199271,"corporation":false,"usgs":false,"family":"Newman","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":718535,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perry, W.M.","contributorId":199272,"corporation":false,"usgs":false,"family":"Perry","given":"W.M.","email":"","affiliations":[],"preferred":false,"id":718536,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Balachandran, S.","contributorId":199273,"corporation":false,"usgs":false,"family":"Balachandran","given":"S.","affiliations":[],"preferred":false,"id":718537,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Witt, M.J.","contributorId":199274,"corporation":false,"usgs":false,"family":"Witt","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":718538,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hou, Y.","contributorId":199275,"corporation":false,"usgs":false,"family":"Hou","given":"Y.","email":"","affiliations":[],"preferred":false,"id":718539,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lu, Z.","contributorId":199276,"corporation":false,"usgs":false,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":718540,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hawkes, L.A.","contributorId":199277,"corporation":false,"usgs":false,"family":"Hawkes","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":718541,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70192774,"text":"70192774 - 2017 - Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae)","interactions":[],"lastModifiedDate":"2017-11-17T11:13:04","indexId":"70192774","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3900,"text":"Marine and Freshwater Behaviour and Physiology","active":true,"publicationSubtype":{"id":10}},"title":"Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae)","docAbstract":"Specimens of Oscar Astronotus ocellatus from a fish farm were abruptly submitted to salt stress of 14 ppt and 20 ppt, for 3 and 8 h to determine their plasma osmolality. Muscle wet body mass change in vitro was analyzed from control freshwater animals. Fish in 14 ppt presented no osmolality distress even after 8 h. In 20 ppt, a slight increase (10%) in plasma osmolality was observed for both times of exposure when compared to control fish. Muscle slices submitted in vitro to hyper-osmotic saline displayed decreased body mass after 75 min, and slices submitted to hypo-osmotic saline displayed increased body mass after 45 min when compared to control (isosmotic saline). These results reinforce A. ocellatus’s euryhalinity. The fish were able to regulate its internal medium and tolerate 14 ppt, but presented an intense osmotic challenge and low muscle hydration control when facing salinities of 20 ppt.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10236244.2017.1387480","usgsCitation":"Gutierre, S.M., Schulte, J., Schofield, P.J., and Prodocimo, V., 2017, Osmoregulation and muscle water control in vitro facing salinity stress of the Amazon fish Oscar Astronotus ocellatus (Cichlidae): Marine and Freshwater Behaviour and Physiology, v. 50, no. 4, p. 303-311, https://doi.org/10.1080/10236244.2017.1387480.","productDescription":"9 p.","startPage":"303","endPage":"311","ipdsId":"IP-083604","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438168,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8WK3","text":"USGS data release","linkHelpText":"Osmoregulatory capacity and muscle water control facing salinity stress of the Amazon fish Astronotus ocellatus (Cichlidae)"},{"id":349058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d26","contributors":{"authors":[{"text":"Gutierre, Silvia M. M. 0000-0003-1905-3535","orcid":"https://orcid.org/0000-0003-1905-3535","contributorId":198700,"corporation":false,"usgs":false,"family":"Gutierre","given":"Silvia","email":"","middleInitial":"M. M.","affiliations":[],"preferred":false,"id":716881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Jessica M.","contributorId":198701,"corporation":false,"usgs":false,"family":"Schulte","given":"Jessica M.","affiliations":[],"preferred":false,"id":716882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":716880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prodocimo, Viviane","contributorId":172504,"corporation":false,"usgs":false,"family":"Prodocimo","given":"Viviane","email":"","affiliations":[{"id":27057,"text":"Setor de Ciencias Biologicas, Universidade Federal do Parana, Brazil","active":true,"usgs":false}],"preferred":false,"id":716883,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193169,"text":"70193169 - 2017 - Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality","interactions":[],"lastModifiedDate":"2017-11-20T15:26:00","indexId":"70193169","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality","docAbstract":"Environmental filtering and competitive exclusion are hypotheses frequently invoked in explaining species' environmental niches (i.e., geographic distributions). A key assumption in both hypotheses is that the functional niche (i.e., species traits) governs the environmental niche, but few studies have rigorously evaluated this assumption. Furthermore, phylogeny could be associated with these hypotheses if it is predictive of functional niche similarity via phylogenetic signal or convergent evolution, or of environmental niche similarity through phylogenetic attraction or repulsion. The objectives of this study were to investigate relationships between environmental niches, functional niches, and phylogenies of fishes of the Upper (UCRB) and Lower (LCRB) Colorado River Basins of southwestern North America. We predicted that functionally similar species would have similar environmental niches (i.e., environmental filtering) and that closely related species would be functionally similar (i.e., phylogenetic signal) and possess similar environmental niches (i.e., phylogenetic attraction). Environmental niches were quantified using environmental niche modeling, and functional similarity was determined using functional trait data. Nonnatives in the UCRB provided the only support for environmental filtering, which resulted from several warmwater nonnatives having dam number as a common predictor of their distributions, whereas several cool- and coldwater nonnatives shared mean annual air temperature as an important distributional predictor. Phylogenetic signal was supported for both natives and nonnatives in both basins. Lastly, phylogenetic attraction was only supported for native fishes in the LCRB and for nonnative fishes in the UCRB. Our results indicated that functional similarity was heavily influenced by evolutionary history, but that phylogenetic relationships and functional traits may not always predict the environmental distribution of species. However, the similarity of environmental niches among warmwater centrarchids, ictalurids, fundulids, and poeciliids in the UCRB indicated that dam removals could influence the distribution of these nonnatives simultaneously, thus providing greater conservation benefits. However, this same management strategy would have more limited effects on nonnative salmonids, catostomids, and percids with colder temperature preferences, thus necessitating other management strategies to control these species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1658","usgsCitation":"Whitney, J.E., Whittier, J.B., and Paukert, C.P., 2017, Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality: Ecosphere, v. 8, no. 1, p. 1-21, https://doi.org/10.1002/ecs2.1658.","productDescription":"Article e01658; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-076772","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1658","text":"Publisher Index Page"},{"id":349155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115,\n 30\n ],\n [\n -105,\n 30\n ],\n [\n -105,\n 43\n ],\n [\n -115,\n 43\n ],\n [\n -115,\n 30\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-06","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d23","contributors":{"authors":[{"text":"Whitney, James E.","contributorId":176500,"corporation":false,"usgs":false,"family":"Whitney","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":722919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718117,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194076,"text":"70194076 - 2017 - Updated polychlorinated biphenyl mass budget for Lake Michigan","interactions":[],"lastModifiedDate":"2017-11-17T10:39:46","indexId":"70194076","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Updated polychlorinated biphenyl mass budget for Lake Michigan","docAbstract":"This study revisits and updates the Lake Michigan Mass Balance Project (LMMBP) for polychlorinated biphenyls (PCBs) that was conducted in 1994–1995. This work uses recent concentrations of PCBs in tributary and open lake water, air, and sediment to calculate an updated mass budget. Five of the 11 LMMBP tributaries were revisited in 2015. In these five tributaries, the geometric mean concentrations of ∑PCBs (sum of 85 congeners) ranged from 1.52 to 22.4 ng L–1. The highest concentrations of PCBs were generally found in the Lower Fox River and in the Indiana Harbor and Ship Canal. The input flows of ∑PCBs from wet deposition, dry deposition, tributary loading, and air to water exchange, and the output flows due to sediment burial, volatilization from water to air, and transport to Lake Huron and through the Chicago Diversion were calculated, as well as flows related to the internal processes of settling, resuspension, and sediment–water diffusion. The net transfer of ∑PCBs is 1240 ± 531 kg yr–1 out of the lake. This net transfer is 46% lower than that estimated in 1994–1995. PCB concentrations in most matrices in the lake are decreasing, which drove the decline of all the individual input and output flows. Atmospheric deposition has become negligible, while volatilization from the water surface is still a major route of loss, releasing PCBs from the lake into the air. Large masses of PCBs remain in the water column and surface sediments and are likely to contribute to the future efflux of PCBs from the lake to the air.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b02904","usgsCitation":"Guo, J., Romanak, K., Westenbroek, S.M., Li, A., Kreis, R., Hites, R.A., and Venier, M., 2017, Updated polychlorinated biphenyl mass budget for Lake Michigan: Environmental Science & Technology, v. 51, no. 21, p. 12455-12465, https://doi.org/10.1021/acs.est.7b02904.","productDescription":"11 p.","startPage":"12455","endPage":"12465","ipdsId":"IP-087835","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":349052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.13232421875,\n 41.52502957323801\n ],\n [\n -84.7705078125,\n 41.52502957323801\n ],\n [\n -84.7705078125,\n 46.118941506107056\n ],\n [\n -88.13232421875,\n 46.118941506107056\n ],\n [\n -88.13232421875,\n 41.52502957323801\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"21","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d11","contributors":{"authors":[{"text":"Guo, Jiehong","contributorId":191232,"corporation":false,"usgs":false,"family":"Guo","given":"Jiehong","email":"","affiliations":[],"preferred":false,"id":722008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanak, Kevin","contributorId":191234,"corporation":false,"usgs":false,"family":"Romanak","given":"Kevin","affiliations":[],"preferred":false,"id":722009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, An","contributorId":200536,"corporation":false,"usgs":false,"family":"Li","given":"An","email":"","affiliations":[],"preferred":false,"id":722010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kreis, Russell","contributorId":200345,"corporation":false,"usgs":false,"family":"Kreis","given":"Russell","email":"","affiliations":[],"preferred":false,"id":722011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hites, Ronald A.","contributorId":191235,"corporation":false,"usgs":false,"family":"Hites","given":"Ronald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Venier, Marta","contributorId":191233,"corporation":false,"usgs":false,"family":"Venier","given":"Marta","email":"","affiliations":[],"preferred":false,"id":722013,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}