The hydrological simulation program Fortran (HSPF) [Hydrological Simulation Program Fortran version 12.2 (Computer software). USEPA, Washington, DC] and the precipitation runoff modeling system (PRMS) [Precipitation Runoff Modeling System version 4.0 (Computer software). USGS, Reston, VA] models are semidistributed, deterministic hydrological tools for simulating the impacts of precipitation, land use, and climate on basin hydrology and streamflow. Both models have been applied independently to many watersheds across the United States. This paper reports the statistical results assessing various temporal (daily, monthly, and annual) and spatial (small versus large watershed) scale biases in HSPF and PRMS simulations using two watersheds in the Black Hills, South Dakota. The Nash-Sutcliffe efficiency (NSE), Pearson correlation coefficient (
Developing fast, cost-effective assessments of wild animal abundance is an important goal for many researchers, and environmental DNA (eDNA) holds much promise for this purpose. However, the quantitative relationship between species abundance and the amount of DNA present in the environment is likely to vary substantially among taxa and with ecological context. Here, we report a strong quantitative relationship between eDNA concentration and the abundance of spawning sockeye salmon in a small stream in Alaska, USA, where we took temporally- and spatially-replicated samples during the spawning period. This high-resolution dataset suggests that (1) eDNA concentrations vary significantly day-to-day, and likely within hours, in the context of the dynamic biological event of a salmon spawning season; (2) eDNA, as detected by species-specific quantitative PCR probes, seems to be conserved over short distances (tens of meters) in running water, but degrade quickly over larger scales (ca. 1.5 km); and (3) factors other than the mere presence of live, individual fish — such as location within the stream, live/dead ratio, and water temperature — can affect the eDNA-biomass correlation in space or time. A multivariate model incorporating both biotic and abiotic variables accounted for over 75% of the eDNA variance observed, suggesting that where a system is well-characterized, it may be possible to predict species' abundance from eDNA surveys, although we underscore that species- and system-specific variables are likely to limit the generality of any given quantitative model. Nevertheless, these findings provide an important step toward quantitative applications of eDNA in conservation and management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.01.030","usgsCitation":"Tillotson, M.D., Kelly, R.P., Duda, J.J., Hoy, M.S., Kralj, J., and Quinn, T.P., 2018, Concentrations of environmental DNA (eDNA) reflect spawning salmon abundance at fine spatial and temporal scales: Biological Conservation, v. 220, p. 1-11, https://doi.org/10.1016/j.biocon.2018.01.030.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-089550","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469008,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.01.030","text":"Publisher Index Page"},{"id":438018,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K073HH","text":"USGS data release","linkHelpText":"Concentrations of environmental DNA (eDNA) during sockeye salmon spawning in 2016, Hansen Creek, Alaska, USA"},{"id":351365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Hansen Creek","volume":"220","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7d6ff8e4b00f54eb244176","contributors":{"authors":[{"text":"Tillotson, Michael D.","contributorId":202117,"corporation":false,"usgs":false,"family":"Tillotson","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":36354,"text":"University of Washington, School of Aquatic and Fishery Sciences, Box 355020, Seattle, WA 98195-5020","active":true,"usgs":false}],"preferred":false,"id":727832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Ryan P.","contributorId":202201,"corporation":false,"usgs":false,"family":"Kelly","given":"Ryan","email":"","middleInitial":"P.","affiliations":[{"id":36369,"text":"University of Washington, School of Marine and Environmental Affairs, 3710 Brooklyn Ave NE, Seattle, WA 98105. USA","active":true,"usgs":false}],"preferred":false,"id":727833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoy, Marshal S. 0000-0003-2828-9697 mhoy@usgs.gov","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":3033,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","email":"mhoy@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727834,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kralj, James","contributorId":202118,"corporation":false,"usgs":false,"family":"Kralj","given":"James","email":"","affiliations":[{"id":36355,"text":"University of Washington, School of Marine and Environmental Affairs, 3710 Brooklyn Ave. NE, Seattle, WA 98105","active":true,"usgs":false}],"preferred":false,"id":727835,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quinn, Thomas P.","contributorId":167272,"corporation":false,"usgs":false,"family":"Quinn","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":24671,"text":"School of Aquatic and Fsiery Sciences, UW, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":727836,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195341,"text":"70195341 - 2018 - Mercury concentrations in multiple tissues of Kittlitz's murrelets (Brachyramphus brevirostris)","interactions":[],"lastModifiedDate":"2018-04-27T16:43:08","indexId":"70195341","displayToPublicDate":"2018-02-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mercury concentrations in multiple tissues of Kittlitz's murrelets (Brachyramphus brevirostris)","title":"Mercury concentrations in multiple tissues of Kittlitz's murrelets (Brachyramphus brevirostris)","docAbstract":"Mercury (Hg) is a non-essential, toxic metal that is distributed worldwide. Mercury biomagnifies in food webs and can threaten the health of top predators such as seabirds. The Kittlitz's murrelet (Brachyramphus brevirostris) is a seabird endemic to Alaska and the Russian Far East and is a species of conservation concern in the region. We determined Hg concentrations in eggshells, guano, blood, and feathers of Kittlitz's murrelets sampled from four locations in Alaska. Mercury concentrations in eggshells, guano, and blood were low compared to other seabird species. Mean Hg concentrations of breast feathers from Adak Island and Glacier Bay were significantly greater than those from Agattu Island or Icy Bay. Two Kittlitz's murrelets at Glacier Bay and one Kittlitz's murrelet at Adak Island had Hg concentrations above those associated with impaired reproduction in other bird species, and may merit further investigation as a potential threat to individuals and populations.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2017.10.055","usgsCitation":"Kenney, L.A., Kaler, R.S., Kissling, M.L., Bond, A.L., and Eagles-Smith, C.A., 2018, Mercury concentrations in multiple tissues of Kittlitz's murrelets (Brachyramphus brevirostris): Marine Pollution Bulletin, v. 129, no. 2, p. 675-680, https://doi.org/10.1016/j.marpolbul.2017.10.055.","productDescription":"6 p.","startPage":"675","endPage":"680","ipdsId":"IP-079784","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":351386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -187.55859375,\n 51.069016659603896\n ],\n [\n -135.263671875,\n 51.069016659603896\n ],\n [\n -135.263671875,\n 60.84491057364912\n ],\n [\n -187.55859375,\n 60.84491057364912\n ],\n [\n -187.55859375,\n 51.069016659603896\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"129","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7d6ff8e4b00f54eb24416e","contributors":{"authors":[{"text":"Kenney, Leah A.","contributorId":202222,"corporation":false,"usgs":false,"family":"Kenney","given":"Leah","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":727906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaler, Robb S.","contributorId":202223,"corporation":false,"usgs":false,"family":"Kaler","given":"Robb","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":727907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kissling, Michelle L.","contributorId":172675,"corporation":false,"usgs":false,"family":"Kissling","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":727908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bond, Alexander L.","contributorId":202224,"corporation":false,"usgs":false,"family":"Bond","given":"Alexander","email":"","middleInitial":"L.","affiliations":[{"id":36373,"text":"Ardenna Research","active":true,"usgs":false}],"preferred":false,"id":727909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727905,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195099,"text":"70195099 - 2018 - Vegetation responses to sagebrush-reduction treatments measured by satellites","interactions":[],"lastModifiedDate":"2018-02-08T11:26:12","indexId":"70195099","displayToPublicDate":"2018-02-08T00:00:00","publicationYear":"2018","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":"Vegetation responses to sagebrush-reduction treatments measured by satellites","docAbstract":"Time series of vegetative indices derived from satellite imagery constitute tools to measure ecological effects of natural and management-induced disturbances to ecosystems. Over the past century, sagebrush-reduction treatments have been applied widely throughout western North America to increase herbaceous vegetation for livestock and wildlife. We used indices from satellite imagery to 1) quantify effects of prescribed-fire, herbicide, and mechanical treatments on vegetative cover, productivity, and phenology, and 2) describe how vegetation changed over time following these treatments. We hypothesized that treatments would increase herbaceous cover and accordingly shift phenologies towards those typical of grass-dominated systems. We expected prescribed burns would lead to the greatest and most-prolonged effects on vegetative cover and phenology, followed by herbicide and mechanical treatments. Treatments appeared to increase herbaceous cover and productivity, which coincided with signs of earlier senescence − signals expected of grass-dominated systems, relative to sagebrush-dominated systems. Spatial heterogeneity for most phenometrics was lower in treated areas relative to controls, which suggested treatment-induced homogenization of vegetative communities. Phenometrics that explain spring migrations of ungulates mostly were unaffected by sagebrush treatments. Fire had the strongest effect on vegetative cover, and yielded the least evidence for sagebrush recovery. Overall, treatment effects were small relative to those reported from field-based studies for reasons most likely related to sagebrush recovery, treatment specification, and untreated patches within mosaicked treatment applications. Treatment effects were also small relative to inter-annual variation in phenology and productivity that was explained by temperature, snowpack, and growing-season precipitation. Our results indicated that cumulative NDVI, late-season phenometrics, and spatial heterogeneity of several phenometrics may serve as useful indicators of vegetative change in sagebrush ecosystems.
No abstract available.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.4288","usgsCitation":"East, A.E., Jenkins, K.J., Happe, P.J., Bountry, J.A., Beechie, T.J., Mastin, M.C., Sankey, J.B., and Randle, T.J., 2018, Reply to ‘Wolf-triggered trophic cascades and stream channel dynamics in Olympic National Park: a comment on East et al. (2017)’ by Robert Beschta and William Ripple: Earth Surface Processes and Landforms, v. 43, no. 4, p. 936-939, https://doi.org/10.1002/esp.4288.","productDescription":"4 p.","startPage":"936","endPage":"939","ipdsId":"IP-089653","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":351345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-26","publicationStatus":"PW","scienceBaseUri":"5a7d6ffae4b00f54eb244188","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":726843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","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":726844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Happe, Patricia J.","contributorId":177053,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":726845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bountry, Jennifer A.","contributorId":30114,"corporation":false,"usgs":false,"family":"Bountry","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":726846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":726847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726848,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":726849,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Randle, Timothy J.","contributorId":90994,"corporation":false,"usgs":false,"family":"Randle","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":726850,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193904,"text":"fs20173082 - 2018 - Assessment of undiscovered continuous oil and gas resources in the Bohaiwan Basin Province, China, 2017","interactions":[],"lastModifiedDate":"2018-02-08T09:59:04","indexId":"fs20173082","displayToPublicDate":"2018-02-07T18:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3082","title":"Assessment of undiscovered continuous oil and gas resources in the Bohaiwan Basin Province, China, 2017","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable continuous resources of 2.0 billion barrels of oil and 20.3 trillion cubic feet of gas in the Bohaiwan Basin Province, China.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173082","usgsCitation":"Schenk, C.J., Tennyson, M.E., Mercier, T.J., Woodall, C.A., Finn, T.M., Brownfield, M.E., Le, P.A., Klett, T.R., Gaswirth, S.B., Marra, K.R., Leathers-Miller, H.M., and Potter, C.J., 2018, Assessment of undiscovered continuous oil and gas resources in the Bohaiwan Basin Province, China, 2017: U.S. Geological Survey Fact Sheet 2017–3082, 2 p., https://doi.org/10.3133/fs20173082.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-088568","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":351203,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173021","text":"Fact Sheet 2017–3021:","linkHelpText":"Assessment of Permian Tight Oil and Gas Resources in the Junggar Basin of China, 2016"},{"id":351202,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3082/fs20173082.pdf","text":"Report","size":"2.06 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3082"},{"id":351205,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3117","text":"Fact Sheet 2012–3117: ","linkHelpText":"Assessment of Undiscovered Conventional Oil and Gas Resources of Six Geologic Provinces of China, 2011"},{"id":351204,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20153087","text":"Fact Sheet 2015–3087:","linkHelpText":"Assessment of Undiscovered Continuous Gas Resources of the Ordos Basin Province, China, 2015"},{"id":351201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3082/coverthb.jpg"},{"id":351206,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3018","text":"Fact Sheet 2012–3018:","linkHelpText":"Assessment of Potential Unconventional Carboniferous-Permian Gas Resources of the Liaohe Basin Eastern Uplift, Liaoning Province, China, 2011"}],"country":"China","otherGeospatial":"Bohaiwan Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 117,\n 35\n ],\n [\n 125,\n 35\n ],\n [\n 125,\n 43\n ],\n [\n 117,\n 43\n ],\n [\n 117,\n 35\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Ecological restoration is critical for recovering biodiversity and ecosystem services, yet designing interventions to achieve particular outcomes remains fraught with challenges. In the extensive regions where non-native species are firmly established, it is unlikely that historical conditions can be fully reinstated. To what degree, and how rapidly, can human-dominated areas be shifted via restoration into regimes that benefit target species, communities or processes?
We explore this question in a >20-year-old reforestation effort underway at Hakalau Forest National Wildlife Refuge in montane Hawaii. This large-scale planting of Acacia koa trees is designed to secure populations of globally threatened bird species by transitioning the site rapidly from pasture to native forest.
We surveyed all forest birds in multiple corridors of young planted trees, remnant corridors of mature trees along gulches and at sites within mature forest. Using a Bayesian hierarchical approach, we identified which factors (distance from forest, habitat type and surrounding tree cover) had the most important influence on native and exotic bird abundance in the reforestation area.
We found that 90% of native and exotic bird species responded quickly, occupying corridors of native trees approximately a decade after planting. However, native and exotic forest birds responded to markedly different characteristics of the reforested area. Native bird abundance was strongly predicted by proximity to mature forest and remnant corridors; conversely, exotic bird abundance was best predicted by overall tree cover throughout the area reforested.
Our results demonstrate that large-scale tree planting in corridors adjacent to mature forest can catalyse rapid recovery (both increased abundance and expanded distribution) of forest birds and that it is possible to design reforestation to benefit native species in novel ecosystems.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12723","usgsCitation":"Pejchar, L., Gallo, T., Hooten, M., and Daily, G.C., 2018, Predicting effects of large-scale reforestation on native and exotic birds: Diversity and Distributions, v. 24, no. 6, p. 811-819, https://doi.org/10.1111/ddi.12723.","productDescription":"9 p.","startPage":"811","endPage":"819","ipdsId":"IP-052845","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489029,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12723","text":"Publisher Index Page"},{"id":394863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hakalau Forest National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.4,\n 19.8\n ],\n [\n -155.3,\n 19.8\n ],\n [\n -155.3,\n 19.89\n ],\n [\n -155.4,\n 19.89\n ],\n [\n -155.4,\n 19.8\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"6","noUsgsAuthors":false,"publicationDate":"2018-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Pejchar, Liba","contributorId":225494,"corporation":false,"usgs":false,"family":"Pejchar","given":"Liba","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":831776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallo, Travis","contributorId":272224,"corporation":false,"usgs":false,"family":"Gallo","given":"Travis","email":"","affiliations":[],"preferred":false,"id":831777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":831667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daily, Gretchen C.","contributorId":32767,"corporation":false,"usgs":true,"family":"Daily","given":"Gretchen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":831778,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195128,"text":"70195128 - 2018 - Volcanic ash activates the NLRP3 inflammasome in murine and human macrophages","interactions":[],"lastModifiedDate":"2018-02-22T12:57:33","indexId":"70195128","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5620,"text":"Frontiers in Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic ash activates the NLRP3 inflammasome in murine and human macrophages","docAbstract":"Volcanic ash is a heterogeneous mineral dust that is typically composed of a mixture of amorphous (glass) and crystalline (mineral) fragments. It commonly contains an abundance of the crystalline silica (SiO2) polymorph cristobalite. Inhalation of crystalline silica can induce inflammation by stimulating the NLRP3 inflammasome, a cytosolic receptor complex that plays a critical role in driving inflammatory immune responses. Ingested material results in the assembly of NLRP3, ASC, and caspase-1 with subsequent secretion of the interleukin-1 family cytokine IL-1β. Previous toxicology work suggests that cristobalite-bearing volcanic ash is minimally reactive, calling into question the reactivity of volcanically derived crystalline silica, in general. In this study, we target the NLRP3 inflammasome as a crystalline silica responsive element to clarify volcanic cristobalite reactivity. We expose immortalized bone marrow-derived macrophages of genetically engineered mice and primary human peripheral blood mononuclear cells (PBMCs) to ash from the Soufrière Hills volcano as well as representative, pure-phase samples of its primary componentry (volcanic glass, feldspar, cristobalite) and measure NLRP3 inflammasome activation. We demonstrate that respirable Soufrière Hills volcanic ash induces the activation of caspase-1 with subsequent release of mature IL-1β in a NLRP3 inflammasome-dependent manner. Macrophages deficient in NLRP3 inflammasome components are incapable of secreting IL-1β in response to volcanic ash ingestion. Cellular uptake induces lysosomal destabilization involving cysteine proteases. Furthermore, the response involves activation of mitochondrial stress pathways leading to the generation of reactive oxygen species. Considering ash componentry, cristobalite is the most reactive pure-phase with other components inducing only low-level IL-1β secretion. Inflammasome activation mediated by inhaled ash and its potential relevance in chronic pulmonary disease was further evidenced in PBMC using the NLRP3 small-molecule inhibitor CP-456,773 (CRID3, MCC950). Our data indicate the functional activation of the NLRP3 inflammasome by volcanic ash in murine and human macrophages in vitro. Cristobalite is identified as the apparent driver, thereby contesting previous assertions that chemical and structural imperfections may be sufficient to abrogate the reactivity of volcanically derived cristobalite. This is a novel mechanism for the stimulation of a pro-inflammatory response by volcanic particulate and provides new insight regarding chronic exposure to environmentally occurring particles.
","language":"English","publisher":"Frontiers","doi":"10.3389/fimmu.2017.02000","usgsCitation":"Damby, D., Horwell, C.J., Baxter, P.J., Kueppers, U., Schnurr, M., Dingwell, D.B., and Duewell, P., 2018, Volcanic ash activates the NLRP3 inflammasome in murine and human macrophages: Frontiers in Immunology, v. 8, Article 2000; 11 p., https://doi.org/10.3389/fimmu.2017.02000.","productDescription":"Article 2000; 11 p.","ipdsId":"IP-085438","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fimmu.2017.02000","text":"Publisher Index Page"},{"id":351297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-22","publicationStatus":"PW","scienceBaseUri":"5a7c1e6fe4b00f54eb2292ac","contributors":{"authors":[{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwell, Claire J.","contributorId":177455,"corporation":false,"usgs":false,"family":"Horwell","given":"Claire","email":"","middleInitial":"J.","affiliations":[{"id":16770,"text":"Dept. Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":727072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baxter, Peter J.","contributorId":201839,"corporation":false,"usgs":false,"family":"Baxter","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":727073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kueppers, Ulrich","contributorId":178534,"corporation":false,"usgs":false,"family":"Kueppers","given":"Ulrich","affiliations":[],"preferred":false,"id":727074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schnurr, Max","contributorId":201840,"corporation":false,"usgs":false,"family":"Schnurr","given":"Max","email":"","affiliations":[{"id":36272,"text":"Klinikum der Universität München","active":true,"usgs":false}],"preferred":false,"id":727075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dingwell, Donald B.","contributorId":201841,"corporation":false,"usgs":false,"family":"Dingwell","given":"Donald","email":"","middleInitial":"B.","affiliations":[{"id":36273,"text":"Ludwig-Maximilians-Universität (LMU) München","active":true,"usgs":false}],"preferred":false,"id":727076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duewell, Peter","contributorId":201842,"corporation":false,"usgs":false,"family":"Duewell","given":"Peter","email":"","affiliations":[{"id":36272,"text":"Klinikum der Universität München","active":true,"usgs":false}],"preferred":false,"id":727077,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70195173,"text":"70195173 - 2018 - Uptake and distribution of organo-iodine in deep-sea corals","interactions":[],"lastModifiedDate":"2018-03-13T10:11:30","indexId":"70195173","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Uptake and distribution of organo-iodine in deep-sea corals","docAbstract":"Understanding iodine concentration, transport, and bioavailability is essential in evaluating iodine's impact to the environment and its effectiveness as an environmental biogeotracer. While iodine and its radionuclides have proven to be important tracers in geologic and biologic studies, little is known about transport of this element to the deep sea and subsequent uptake in deep-sea coral habitats. Results presented here on deep-sea black coral iodine speciation and iodine isotope variability provides key information on iodine behavior in natural and anthropogenic environments, and its geochemical pathway in the Gulf of Mexico. Organo-iodine is the dominant iodine species in the black corals, demonstrating that binding of iodine to organic matter plays an important role in the transport and transfer of iodine to the deep-sea corals. The identification of growth bands captured in high-resolution scanning electron images (SEM) with synchronous peaks in iodine variability suggest that riverine delivery of terrestrial-derived organo-iodine is the most plausible explanation to account for annual periodicity in the deep-sea coral geochemistry. Whereas previous studies have suggested the presence of annual growth rings in deep-sea corals, this present study provides a mechanism to explain the formation of annual growth bands. Furthermore, deep-sea coral ages based on iodine peak counts agree well with those ages derived from radiocarbon (14C) measurements. These results hold promise for developing chronologies independent of 14C dating, which is an essential component in constraining reservoir ages and using radiocarbon as a tracer of ocean circulation. Furthermore, the presence of enriched 129I/127I ratios during the most recent period of skeleton growth is linked to nuclear weapons testing during the 1960s. The sensitivity of the coral skeleton to record changes in surface water 129I composition provides further evidence that iodine composition and isotope variability captured in proteinaceous deep-sea corals is a promising geochronometer as well as an emerging tracer for continental material flux.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2018.01.003","usgsCitation":"Prouty, N.G., Roark, E.B., Mohon, L.M., and Chang, C., 2018, Uptake and distribution of organo-iodine in deep-sea corals: Journal of Environmental Radioactivity, v. 187, p. 122-132, https://doi.org/10.1016/j.jenvrad.2018.01.003.","productDescription":"11 p.","startPage":"122","endPage":"132","ipdsId":"IP-090588","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469021,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvrad.2018.01.003","text":"Publisher Index Page"},{"id":351529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.5,\n 28.5\n ],\n [\n -86,\n 28.5\n ],\n [\n -86,\n 29.75\n ],\n [\n -88.5,\n 29.75\n ],\n [\n -88.5,\n 28.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"187","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee731e4b0da30c1bfc1ae","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roark, E. Brendan","contributorId":195726,"corporation":false,"usgs":false,"family":"Roark","given":"E.","email":"","middleInitial":"Brendan","affiliations":[],"preferred":false,"id":727298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mohon, Leslye M.","contributorId":201970,"corporation":false,"usgs":false,"family":"Mohon","given":"Leslye","email":"","middleInitial":"M.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":728382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Ching-Chih","contributorId":178566,"corporation":false,"usgs":false,"family":"Chang","given":"Ching-Chih","email":"","affiliations":[],"preferred":false,"id":728383,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195199,"text":"70195199 - 2018 - Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA","interactions":[],"lastModifiedDate":"2018-02-28T10:01:32","indexId":"70195199","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA","docAbstract":"To better characterize the transport of neonicotinoid insecticides to the world's largest freshwater ecosystem, monthly samples (October 2015–September 2016) were collected from 10 major tributaries to the Great Lakes, USA. For the monthly tributary samples, neonicotinoids were detected in every month sampled and five of the six target neonicotinoids were detected. At least one neonicotinoid was detected in 74% of the monthly samples with up to three neonicotinoids detected in an individual sample (10% of all samples). The most frequently detected neonicotinoid was imidacloprid (53%), followed by clothianidin (44%), thiamethoxam (22%), acetamiprid (2%), and dinotefuran (1%). Thiacloprid was not detected in any samples. The maximum concentration for an individual neonicotinoid was 230 ng L−1 and the maximum total neonicotinoids in an individual sample was 400 ng L−1. The median detected individual neonicotinoid concentrations ranged from non-detect to 10 ng L−1. The detections of clothianidin and thiamethoxam significantly increased as the percent of cultivated crops in the basins increased (ρ = 0.73, P = .01; ρ = 0.66, P = .04, respectively). In contrast, imidacloprid detections significantly increased as the percent of the urbanization in the basins increased (ρ = 0.66, P = .03). Neonicotinoid concentrations generally increased in spring through summer coinciding with the planting of neonicotinoid-treated seeds and broadcast applications of neonicotinoids. More spatially intensive samples were collected in an agriculturally dominated basin (8 sites along the Maumee River, Ohio) twice during the spring, 2016 planting season to provide further information on neonicotinoid inputs to the Great Lakes. Three neonicotinoids were ubiquitously detected (clothianidin, imidacloprid, thiamethoxam) in all water samples collected within this basin. Maximum individual neonicotinoid concentrations was 330 ng L−1 and maximum total neonicotinoid concentration was 670 ng L−1; median detected individual neonicotinoid concentrations were 7.0 to 39 ng L−1.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.01.013","usgsCitation":"Hladik, M., Corsi, S., Kolpin, D.W., Baldwin, A.K., Blackwell, B., and Cavallin, J.E., 2018, Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA: Environmental Pollution, v. 235, p. 1022-1029, https://doi.org/10.1016/j.envpol.2018.01.013.","productDescription":"8 p.","startPage":"1022","endPage":"1029","ipdsId":"IP-091249","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":469022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6022824","text":"Publisher Index Page"},{"id":351242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.0986328125,\n 39.9434364619742\n ],\n [\n -77.14599609375,\n 39.9434364619742\n ],\n [\n -77.14599609375,\n 46.70973594407157\n ],\n [\n -91.0986328125,\n 46.70973594407157\n ],\n [\n -91.0986328125,\n 39.9434364619742\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"235","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e6be4b00f54eb229286","contributors":{"authors":[{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":727403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavallin, Jenna E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":727404,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195166,"text":"70195166 - 2018 - Mapping elemental contamination on Palmyra Atoll National Wildlife Refuge","interactions":[],"lastModifiedDate":"2019-06-03T13:20:00","indexId":"70195166","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Mapping elemental contamination on Palmyra Atoll National Wildlife Refuge","docAbstract":"Palmyra Atoll, once a WWII U.S. Navy air station, is now a U.S. National Wildlife Refuge with nearly 50 km2 of coral reef and 275 ha of emergent lands with forests of Pisonia grandistrees and colonies of several bird species. Due to the known elemental and organic contamination from chemicals associated with aviation, power generation and transmission, waste management, and other air station activities, a screening survey to map elemental concentrations was conducted. A map of 1944 Navy facilities was georeferenced and identifiable features were digitized. These data informed a targeted survey of 25 elements in soils and sediment at locations known or suspected to be contaminated, using a hand-held X-ray fluorescence spectrometer. At dozens of locations, concentrations of elements exceeded established soil and marine sediment thresholds for adverse ecological effects. Results were compiled into a publicly available geospatial dataset to inform potential remediation and habitat restoration activities.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2017.12.065","usgsCitation":"Struckhoff, M.A., Orazio, C.E., Tillitt, D.E., Shaver, D.K., and Papoulias, D.M., 2018, Mapping elemental contamination on Palmyra Atoll National Wildlife Refuge: Marine Pollution Bulletin, v. 128, p. 97-105, https://doi.org/10.1016/j.marpolbul.2017.12.065.","productDescription":"9 p.","startPage":"97","endPage":"105","ipdsId":"IP-087627","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":469012,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2017.12.065","text":"Publisher Index Page"},{"id":351287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Palmyra Atoll National Wildlife Refuge","volume":"128","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e6de4b00f54eb229296","contributors":{"authors":[{"text":"Struckhoff, Matthew A. 0000-0002-4911-9956 mstruckhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":2095,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","email":"mstruckhoff@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orazio, Carl E. 0000-0002-2532-9668 corazio@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-9668","contributorId":1366,"corporation":false,"usgs":true,"family":"Orazio","given":"Carl","email":"corazio@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaver, David K. dshaver@usgs.gov","contributorId":1611,"corporation":false,"usgs":true,"family":"Shaver","given":"David","email":"dshaver@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":727275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727276,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195168,"text":"70195168 - 2018 - Accurate ocean bottom seismometer positioning method inspired by multilateration technique","interactions":[],"lastModifiedDate":"2018-07-03T11:38:27","indexId":"70195168","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2701,"text":"Mathematical Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Accurate ocean bottom seismometer positioning method inspired by multilateration technique","docAbstract":"The positioning of ocean bottom seismometers (OBS) is a key step in the processing flow of OBS data, especially in the case of self popup types of OBS instruments. The use of first arrivals from airgun shots, rather than relying on the acoustic transponders mounted in the OBS, is becoming a trend and generally leads to more accurate positioning due to the statistics from a large number of shots. In this paper, a linearization of the OBS positioning problem via the multilateration technique is discussed. The discussed linear solution solves jointly for the average water layer velocity and the OBS position using only shot locations and first arrival times as input data.
","language":"English","publisher":"Springer","doi":"10.1007/s11004-017-9719-5","usgsCitation":"Benazzouz, O., Pinheiro, L.M., Matias, L.M., Afilhado, A., Herold, D., and Haines, S.S., 2018, Accurate ocean bottom seismometer positioning method inspired by multilateration technique: Mathematical Geosciences, v. 50, no. 5, p. 569-584, https://doi.org/10.1007/s11004-017-9719-5.","productDescription":"16 p.","startPage":"569","endPage":"584","ipdsId":"IP-075056","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469020,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10400.21/9110","text":"External Repository"},{"id":351283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-08","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ce4b00f54eb229293","contributors":{"authors":[{"text":"Benazzouz, Omar","contributorId":201961,"corporation":false,"usgs":false,"family":"Benazzouz","given":"Omar","email":"","affiliations":[{"id":36309,"text":"University of Aveiro, Portugal","active":true,"usgs":false}],"preferred":false,"id":727281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinheiro, Luis M.","contributorId":201962,"corporation":false,"usgs":false,"family":"Pinheiro","given":"Luis","email":"","middleInitial":"M.","affiliations":[{"id":36309,"text":"University of Aveiro, Portugal","active":true,"usgs":false}],"preferred":false,"id":727282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matias, Luis M. A.","contributorId":201963,"corporation":false,"usgs":false,"family":"Matias","given":"Luis","email":"","middleInitial":"M. A.","affiliations":[{"id":36310,"text":"Dom Luiz Institute, Portugal","active":true,"usgs":false}],"preferred":false,"id":727283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Afilhado, Alexandra","contributorId":201964,"corporation":false,"usgs":false,"family":"Afilhado","given":"Alexandra","email":"","affiliations":[{"id":36311,"text":"Superior Institute of Engineering of Lisbon, Portugal","active":true,"usgs":false}],"preferred":false,"id":727284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herold, Daniel","contributorId":201965,"corporation":false,"usgs":false,"family":"Herold","given":"Daniel","email":"","affiliations":[{"id":36312,"text":"Parallel Geoscience Corporation","active":true,"usgs":false}],"preferred":false,"id":727285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727280,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195203,"text":"70195203 - 2018 - Virulence of a chimeric recombinant infectious haematopoietic necrosis virus expressing the spring viraemia of carp virus glycoprotein in salmonid and cyprinid fish","interactions":[],"lastModifiedDate":"2018-02-07T12:01:35","indexId":"70195203","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Virulence of a chimeric recombinant infectious haematopoietic necrosis virus expressing the spring viraemia of carp virus glycoprotein in salmonid and cyprinid fish","docAbstract":"Infectious haematopoietic necrosis virus (IHNV) and spring viraemia of carp virus (SVCV) are both rhabdoviruses of fish, listed as notifiable disease agents by the World Organization for Animal Health. Recombinant rhabdoviruses with heterologous gene substitutions have been engineered to study genetic determinants and assess the potential of these recombinant viruses for vaccine development. A recombinant IHNV (rIHNV), containing the full-length genome of a European IHNV strain, was modified by deleting the glycoprotein (G) gene and replacing it with a European SVCV G-gene to make the rIHNV-Gsvcv. The chimeric rIHNV-Gsvcv level of virulence in rainbow trout, common carp and koi was assessed, and its ability to induce a protective immune response in surviving koi against wild-type SVCV infection was tested. The rIHNV-Gsvcv infection of trout led to high mortality, ranging from 78% to 92.5%, after immersion. In contrast, no deaths occurred in juvenile common carp after infection with rIHNV-Gsvcv by either immersion or intraperitoneal (IP) injection. Similarly, koi infected with rIHNV-Gsvcv via IP injection had little to no mortality (≤9%). Koi that survived initial infection with a high dose of recombinant virus rIHNV-Gsvcv were protected against a virulent SVCV challenge resulting in a high relative per cent survival of 82.5%.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.12678","usgsCitation":"Emmenegger, E.J., Biacchesi, S., Merour, E., Glenn, J.A., Palmer, A., Bremont, M., and Kurath, G., 2018, Virulence of a chimeric recombinant infectious haematopoietic necrosis virus expressing the spring viraemia of carp virus glycoprotein in salmonid and cyprinid fish: Journal of Fish Diseases, v. 41, no. 1, p. 67-78, https://doi.org/10.1111/jfd.12678.","productDescription":"12 p.","startPage":"67","endPage":"78","ipdsId":"IP-085208","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":351233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-11","publicationStatus":"PW","scienceBaseUri":"5a7c1e6be4b00f54eb22927e","contributors":{"authors":[{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":202027,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biacchesi, Stephane","contributorId":202028,"corporation":false,"usgs":false,"family":"Biacchesi","given":"Stephane","email":"","affiliations":[{"id":36328,"text":"Virologie et Immunologie Moléculaires (VIM), INRA, Université Paris-Saclay, 78350","active":true,"usgs":false}],"preferred":false,"id":727425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merour, Emilie","contributorId":202029,"corporation":false,"usgs":false,"family":"Merour","given":"Emilie","email":"","affiliations":[{"id":36328,"text":"Virologie et Immunologie Moléculaires (VIM), INRA, Université Paris-Saclay, 78350","active":true,"usgs":false}],"preferred":false,"id":727426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, Jolene. A","contributorId":202030,"corporation":false,"usgs":false,"family":"Glenn","given":"Jolene.","email":"","middleInitial":"A","affiliations":[{"id":36329,"text":"Fred Hutch Cancer Research Center, Vaccine and Infectious Disease Division, Seattle","active":true,"usgs":false}],"preferred":false,"id":727427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmer, Alexander D.","contributorId":202031,"corporation":false,"usgs":false,"family":"Palmer","given":"Alexander D.","affiliations":[{"id":36330,"text":"University of Illinois at Urbana-Champaign, Department of Microbiology, Chemical and Life Sciences Laboratories, 601 S Goodwin Ave. B-210 Urbana, IL 61801 USA","active":true,"usgs":false}],"preferred":false,"id":727428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bremont, Michel","contributorId":202032,"corporation":false,"usgs":false,"family":"Bremont","given":"Michel","email":"","affiliations":[{"id":36328,"text":"Virologie et Immunologie Moléculaires (VIM), INRA, Université Paris-Saclay, 78350","active":true,"usgs":false}],"preferred":false,"id":727429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727424,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70195157,"text":"70195157 - 2018 - Shrubland carbon sink depends upon winter water availability in the warm deserts of North America","interactions":[],"lastModifiedDate":"2018-02-08T09:24:14","indexId":"70195157","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Shrubland carbon sink depends upon winter water availability in the warm deserts of North America","docAbstract":"Global-scale studies suggest that dryland ecosystems dominate an increasing trend in the magnitude and interannual variability of the land CO2 sink. However, such model-based analyses are poorly constrained by measured CO2 exchange in open shrublands, which is the most common global land cover type, covering ∼14% of Earth’s surface. Here we evaluate how the amount and seasonal timing of water availability regulate CO2 exchange between shrublands and the atmosphere. We use eddy covariance data from six US sites across the three warm deserts of North America with observed ranges in annual precipitation of ∼100–400mm, annual temperatures of 13–18°C, and records of 2–8 years (33 site-years in total). The Chihuahuan, Sonoran and Mojave Deserts present gradients in both mean annual precipitation and its seasonal distribution between the wet-winter Mojave Desert and the wet-summer Chihuahuan Desert. We found that due to hydrologic losses during the wettest summers in the Sonoran and Chihuahuan Deserts, evapotranspiration (ET) was a better metric than precipitation of water available to drive dryland CO2 exchange. In contrast with recent synthesis studies across diverse dryland biomes, we found that NEP could not be directly predicted from ET due to wintertime decoupling of the relationship between ecosystem respiration (Reco) and gross ecosystem productivity (GEP). Ecosystem water use efficiency (WUE=GEP/ET) did not differ between winter and summer. Carbon use efficiency (CUE=NEP/GEP), however, was greater in winter because Reco returned a smaller fraction of carbon to the atmosphere (23% of GEP) than in summer (77%). Combining the water-carbon relations found here with historical precipitation since 1980, we estimate that lower average winter precipitation during the 21st century reduced the net carbon sink of the three deserts by an average of 6.8TgC yr1. Our results highlight that winter precipitation is critical to the annual carbon balance of these warm desert shrublands.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2017.11.005","usgsCitation":"Biederman, J.A., Scott, R.L., Arnone, J.A., Jasoni, R.L., Litvak, M.E., Moreo, M.T., Papuga, S.A., Ponce-Campos, G.E., Schreiner-McGraw, A.P., and Vivoni, E.R., 2018, Shrubland carbon sink depends upon winter water availability in the warm deserts of North America: Agricultural and Forest Meteorology, v. 249, p. 407-419, https://doi.org/10.1016/j.agrformet.2017.11.005.","productDescription":"13 p.","startPage":"407","endPage":"419","ipdsId":"IP-088519","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":469024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1549057","text":"Publisher Index Page"},{"id":351309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"249","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e6ee4b00f54eb2292a1","contributors":{"authors":[{"text":"Biederman, Joel A.","contributorId":201939,"corporation":false,"usgs":false,"family":"Biederman","given":"Joel","email":"","middleInitial":"A.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":727236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Russell L.","contributorId":39875,"corporation":false,"usgs":false,"family":"Scott","given":"Russell","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":727237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnone, John A.","contributorId":201941,"corporation":false,"usgs":false,"family":"Arnone","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":727238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jasoni, Richard L.","contributorId":201942,"corporation":false,"usgs":false,"family":"Jasoni","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":727239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Litvak, Marcy E.","contributorId":73932,"corporation":false,"usgs":true,"family":"Litvak","given":"Marcy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":727240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moreo, Michael T. 0000-0002-9122-6958 mtmoreo@usgs.gov","orcid":"https://orcid.org/0000-0002-9122-6958","contributorId":2363,"corporation":false,"usgs":true,"family":"Moreo","given":"Michael","email":"mtmoreo@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Papuga, Shirley A.","contributorId":197727,"corporation":false,"usgs":false,"family":"Papuga","given":"Shirley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":727241,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ponce-Campos, Guillermo E.","contributorId":201945,"corporation":false,"usgs":false,"family":"Ponce-Campos","given":"Guillermo","email":"","middleInitial":"E.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":727242,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schreiner-McGraw, Adam P.","contributorId":201946,"corporation":false,"usgs":false,"family":"Schreiner-McGraw","given":"Adam","email":"","middleInitial":"P.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727243,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vivoni, Enrique R.","contributorId":139052,"corporation":false,"usgs":false,"family":"Vivoni","given":"Enrique","email":"","middleInitial":"R.","affiliations":[{"id":12634,"text":"School of Earth and Space Exploration and School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":727244,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70195206,"text":"70195206 - 2018 - Population genomic analysis suggests strong influence of river network on spatial distribution of genetic variation in invasive saltcedar across the southwestern United States","interactions":[],"lastModifiedDate":"2018-03-26T14:22:52","indexId":"70195206","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Population genomic analysis suggests strong influence of river network on spatial distribution of genetic variation in invasive saltcedar across the southwestern United States","docAbstract":"Understanding the complex influences of landscape and anthropogenic elements that shape the population genetic structure of invasive species provides insight into patterns of colonization and spread. The application of landscape genomics techniques to these questions may offer detailed, previously undocumented insights into factors influencing species invasions. We investigated the spatial pattern of genetic variation and the influences of landscape factors on population similarity in an invasive riparian shrub, saltcedar (Tamarix L.) by analysing 1,997 genomewide SNP markers for 259 individuals from 25 populations collected throughout the southwestern United States. Our results revealed a broad-scale spatial genetic differentiation of saltcedar populations between the Colorado and Rio Grande river basins and identified potential barriers to population similarity along both river systems. River pathways most strongly contributed to population similarity. In contrast, low temperature and dams likely served as barriers to population similarity. We hypothesize that large-scale geographic patterns in genetic diversity resulted from a combination of early introductions from distinct populations, the subsequent influence of natural selection, dispersal barriers and founder effects during range expansion.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.14468","usgsCitation":"Lee, S., Jo, Y., Park, C., Friedman, J.M., and Olson, M.S., 2018, Population genomic analysis suggests strong influence of river network on spatial distribution of genetic variation in invasive saltcedar across the southwestern United States: Molecular Ecology, v. 27, no. 3, p. 636-646, https://doi.org/10.1111/mec.14468.","productDescription":"11 p.","startPage":"636","endPage":"646","ipdsId":"IP-084153","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"27","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-22","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ae4b00f54eb22927a","contributors":{"authors":[{"text":"Lee, Soo-Rang","contributorId":202036,"corporation":false,"usgs":false,"family":"Lee","given":"Soo-Rang","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":727439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jo, Yeong-Seok","contributorId":202039,"corporation":false,"usgs":false,"family":"Jo","given":"Yeong-Seok","email":"","affiliations":[{"id":36332,"text":"National Institute of Biological Resources, South Korea","active":true,"usgs":false}],"preferred":false,"id":727442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Park, Chan-Ho","contributorId":202038,"corporation":false,"usgs":false,"family":"Park","given":"Chan-Ho","email":"","affiliations":[{"id":36332,"text":"National Institute of Biological Resources, South Korea","active":true,"usgs":false}],"preferred":false,"id":727441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":727438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olson, Matthew S.","contributorId":202037,"corporation":false,"usgs":false,"family":"Olson","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":727440,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195156,"text":"70195156 - 2018 - Time series sightability modeling of animal populations","interactions":[],"lastModifiedDate":"2018-02-07T13:33:48","indexId":"70195156","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","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":"Time series sightability modeling of animal populations","docAbstract":"Logistic regression models—or “sightability models”—fit to detection/non-detection data from marked individuals are often used to adjust for visibility bias in later detection-only surveys, with population abundance estimated using a modified Horvitz-Thompson (mHT) estimator. More recently, a model-based alternative for analyzing combined detection/non-detection and detection-only data was developed. This approach seemed promising, since it resulted in similar estimates as the mHT when applied to data from moose (Alces alces) surveys in Minnesota. More importantly, it provided a framework for developing flexible models for analyzing multiyear detection-only survey data in combination with detection/non-detection data. During initial attempts to extend the model-based approach to multiple years of detection-only data, we found that estimates of detection probabilities and population abundance were sensitive to the amount of detection-only data included in the combined (detection/non-detection and detection-only) analysis. Subsequently, we developed a robust hierarchical modeling approach where sightability model parameters are informed only by the detection/non-detection data, and we used this approach to fit a fixed-effects model (FE model) with year-specific parameters and a temporally-smoothed model (TS model) that shares information across years via random effects and a temporal spline. The abundance estimates from the TS model were more precise, with decreased interannual variability relative to the FE model and mHT abundance estimates, illustrating the potential benefits from model-based approaches that allow information to be shared across years.
","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0190706","usgsCitation":"ArchMiller, A.A., Dorazio, R., St. Clair, K., and Fieberg, J.R., 2018, Time series sightability modeling of animal populations: PLoS ONE, v. 13, no. 1, p. 1-16, https://doi.org/10.1371/journal.pone.0190706.","productDescription":"e0190706; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-085670","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0190706","text":"Publisher Index Page"},{"id":351270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-12","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ee4b00f54eb2292a6","contributors":{"authors":[{"text":"ArchMiller, Althea A.","contributorId":194336,"corporation":false,"usgs":false,"family":"ArchMiller","given":"Althea","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":727232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":727231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"St. Clair, Katherine","contributorId":201938,"corporation":false,"usgs":false,"family":"St. Clair","given":"Katherine","email":"","affiliations":[{"id":36306,"text":"Dept. of Mathematics and Statistics, Carleton College","active":true,"usgs":false}],"preferred":false,"id":727233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fieberg, John R. 0000-0002-3180-7021","orcid":"https://orcid.org/0000-0002-3180-7021","contributorId":194333,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":727234,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195101,"text":"70195101 - 2018 - Why large cells dominate estuarine phytoplankton","interactions":[],"lastModifiedDate":"2018-03-12T13:09:06","indexId":"70195101","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Why large cells dominate estuarine phytoplankton","docAbstract":"Surveys across the world oceans have shown that phytoplankton biomass and production are dominated by small cells (picoplankton) where nutrient concentrations are low, but large cells (microplankton) dominate when nutrient-rich deep water is mixed to the surface. I analyzed phytoplankton size structure in samples collected over 25 yr in San Francisco Bay, a nutrient-rich estuary. Biomass was dominated by large cells because their biomass selectively grew during blooms. Large-cell dominance appears to be a characteristic of ecosystems at the land–sea interface, and these places may therefore function as analogs to oceanic upwelling systems. Simulations with a size-structured NPZ model showed that runs of positive net growth rate persisted long enough for biomass of large, but not small, cells to accumulate. Model experiments showed that small cells would dominate in the absence of grazing, at lower nutrient concentrations, and at elevated (+5°C) temperatures. Underlying these results are two fundamental scaling laws: (1) large cells are grazed more slowly than small cells, and (2) grazing rate increases with temperature faster than growth rate. The model experiments suggest testable hypotheses about phytoplankton size structure at the land–sea interface: (1) anthropogenic nutrient enrichment increases cell size; (2) this response varies with temperature and only occurs at mid-high latitudes; (3) large-cell blooms can only develop when temperature is below a critical value, around 15°C; (4) cell size diminishes along temperature gradients from high to low latitudes; and (5) large-cell blooms will diminish or disappear where planetary warming increases temperature beyond their critical threshold.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.10749","usgsCitation":"Cloern, J.E., 2018, Why large cells dominate estuarine phytoplankton: Limnology and Oceanography, v. 63, no. S1, p. S392-S409, https://doi.org/10.1002/lno.10749.","productDescription":"18 p.","startPage":"S392","endPage":"S409","ipdsId":"IP-090756","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469025,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10749","text":"Publisher Index Page"},{"id":438020,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74F1P6P","text":"USGS data release","linkHelpText":"Phytoplankton Species Composition, Abundance and Cell Size in San Francisco Bay: Microscopic Analyses of USGS Samples Collected 1992-2014"},{"id":351310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"S1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-30","publicationStatus":"PW","scienceBaseUri":"5a7c1e71e4b00f54eb2292ca","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":726930,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70195108,"text":"70195108 - 2018 - Unraveling the dynamics of magmatic CO2 degassing at Mammoth Mountain, California","interactions":[],"lastModifiedDate":"2018-02-08T09:27:41","indexId":"70195108","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Unraveling the dynamics of magmatic CO2 degassing at Mammoth Mountain, California","title":"Unraveling the dynamics of magmatic CO2 degassing at Mammoth Mountain, California","docAbstract":"The accumulation of magmatic CO2 beneath low-permeability barriers may lead to the formation of CO2-rich gas reservoirs within volcanic systems. Such accumulation is often evidenced by high surface CO2 emissions that fluctuate over time. The temporal variability in surface degassing is believed in part to reflect a complex interplay between deep magmatic degassing and the permeability of degassing pathways. A better understanding of the dynamics of CO2 degassing is required to improve monitoring and hazards mitigation in these systems. Owing to the availability of long-term records of CO2 emissions rates and seismicity, Mammoth Mountain in California constitutes an ideal site towards such predictive understanding. Mammoth Mountain is characterized by intense soil CO2 degassing (up to ∼1000 t d−1) and tree kill areas that resulted from leakage of CO2 from a CO2-rich gas reservoir located in the upper ∼4 km. The release of CO2-rich fluids from deeper basaltic intrusions towards the reservoir induces seismicity and potentially reactivates faults connecting the reservoir to the surface. While this conceptual model is well-accepted, there is still a debate whether temporally variable surface CO2 fluxes directly reflect degassing of intrusions or variations in fault permeability. Here, we report the first large-scale numerical model of fluid and heat transport for Mammoth Mountain. We discuss processes (i) leading to the initial formation of the CO2-rich gas reservoir prior to the occurrence of high surface CO2 degassing rates and (ii) controlling current CO2 degassing at the surface. Although the modeling settings are site-specific, the key mechanisms discussed in this study are likely at play at other volcanic systems hosting CO2-rich gas reservoirs. In particular, our model results illustrate the role of convection in stripping a CO2-rich gas phase from a rising hydrothermal fluid and leading to an accumulation of a large mass of CO2 (∼107–108 t) in a shallow gas reservoir. Moreover, we show that both, short-lived (months to years) and long-lived (hundreds of years) events of magmatic fluid injection can lead to critical pressures within the reservoir and potentially trigger fault reactivation. Our sensitivity analysis suggests that observed temporal fluctuations in surface degassing are only indirectly controlled by variations in magmatic degassing and are mainly the result of temporally variable fault permeability. Finally, we suggest that long-term CO2 emission monitoring, seismic tomography and coupled thermal–hydraulic–mechanical modeling are important for CO2-related hazard mitigation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2017.12.038","usgsCitation":"Pfeiffer, L., Wanner, C., and Lewicki, J.L., 2018, Unraveling the dynamics of magmatic CO2 degassing at Mammoth Mountain, California: Earth and Planetary Science Letters, v. 484, p. 318-328, https://doi.org/10.1016/j.epsl.2017.12.038.","productDescription":"11 p.","startPage":"318","endPage":"328","ipdsId":"IP-089596","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":351302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mammoth Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.0456199645996,\n 37.615387232289116\n ],\n [\n -119.01257514953612,\n 37.615387232289116\n ],\n [\n -119.01257514953612,\n 37.6343536596899\n ],\n [\n -119.0456199645996,\n 37.6343536596899\n ],\n [\n -119.0456199645996,\n 37.615387232289116\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"484","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e6fe4b00f54eb2292b9","contributors":{"authors":[{"text":"Pfeiffer, Loic","contributorId":201801,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"Loic","email":"","affiliations":[{"id":36253,"text":"CICESE","active":true,"usgs":false}],"preferred":false,"id":726985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wanner, Christoph","contributorId":201802,"corporation":false,"usgs":false,"family":"Wanner","given":"Christoph","email":"","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":726986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewicki, Jennifer L. 0000-0003-1994-9104 jlewicki@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-9104","contributorId":5071,"corporation":false,"usgs":true,"family":"Lewicki","given":"Jennifer","email":"jlewicki@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":726984,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195100,"text":"70195100 - 2018 - The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands","interactions":[],"lastModifiedDate":"2018-02-07T13:47:07","indexId":"70195100","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands","docAbstract":"While airborne lidar data have revolutionized the spatial resolution that elevations can be realized, data limitations are often magnified in coastal settings. Researchers have found that airborne lidar can have a vertical error as high as 60 cm in densely vegetated intertidal areas. The uncertainty of digital elevation models is often left unaddressed; however, in low-relief environments, such as barrier islands, centimeter differences in elevation can affect exposure to physically demanding abiotic conditions, which greatly influence ecosystem structure and function. In this study, we used airborne lidar elevation data, in situ elevation observations, lidar metadata, and tide gauge information to delineate low-lying lands and the intertidal wetlands on Dauphin Island, a barrier island along the coast of Alabama, USA. We compared three different elevation error treatments, which included leaving error untreated and treatments that used Monte Carlo simulations to incorporate elevation vertical uncertainty using general information from lidar metadata and site-specific Real-Time Kinematic Global Position System data, respectively. To aid researchers in instances where limited information is available for error propagation, we conducted a sensitivity test to assess the effect of minor changes to error and bias. Treatment of error with site-specific observations produced the fewest omission errors, although the treatment using the lidar metadata had the most well-balanced results. The percent coverage of intertidal wetlands was increased by up to 80% when treating the vertical error of the digital elevation models. Based on the results from the sensitivity analysis, it could be reasonable to use error and positive bias values from literature for similar environments, conditions, and lidar acquisition characteristics in the event that collection of site-specific data is not feasible and information in the lidar metadata is insufficient. The methodology presented in this study should increase efficiency and enhance results for habitat mapping and analyses in dynamic, low-relief coastal environments.
","language":"English","publisher":"MDPI","doi":"10.3390/rs10010005","usgsCitation":"Enwright, N.M., Wang, L., Borchert, S., Day, R.H., Feher, L.C., and Osland, M.J., 2018, The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands: Remote Sensing, v. 10, no. 1, p. 1-18, https://doi.org/10.3390/rs10010005.","productDescription":"Article 5; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-092535","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469015,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs10010005","text":"Publisher Index Page"},{"id":438022,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7125RVT","text":"USGS data release","linkHelpText":"The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands"},{"id":351280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.35548400878906,\n 30.201520239640427\n ],\n [\n -88.05473327636719,\n 30.201520239640427\n ],\n [\n -88.05473327636719,\n 30.282788098216884\n ],\n [\n -88.35548400878906,\n 30.282788098216884\n ],\n [\n -88.35548400878906,\n 30.201520239640427\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-21","publicationStatus":"PW","scienceBaseUri":"5a7c1e71e4b00f54eb2292d1","contributors":{"authors":[{"text":"Enwright, Nicholas M. 0000-0002-7887-3261 enwrightn@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":4880,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","email":"enwrightn@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":726924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Lei","contributorId":193279,"corporation":false,"usgs":false,"family":"Wang","given":"Lei","email":"","affiliations":[],"preferred":false,"id":726925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borchert, Sinéad M. 0000-0002-6665-7115","orcid":"https://orcid.org/0000-0002-6665-7115","contributorId":193278,"corporation":false,"usgs":false,"family":"Borchert","given":"Sinéad M.","affiliations":[],"preferred":false,"id":726926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feher, Laura C. 0000-0002-5983-6190 lhundy@usgs.gov","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":176788,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","email":"lhundy@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195284,"text":"70195284 - 2018 - Relationships between indicators of acid-base chemistry and fish assemblages in streams of the Great Smoky Mountains National Park","interactions":[],"lastModifiedDate":"2018-02-07T12:08:06","indexId":"70195284","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","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":"Relationships between indicators of acid-base chemistry and fish assemblages in streams of the Great Smoky Mountains National Park","docAbstract":"The acidity of many streams in the Great Smoky Mountains National Park (GRSM) has increased significantly since pre-industrial (∼1850) times due to the effects of highly acidic atmospheric deposition in poorly buffered watersheds. Extensive stream-monitoring programs since 1993 have shown that fish and macroinvertebrate assemblages have been adversely affected in many streams across the GRSM. Matching chemistry and fishery information collected from 389 surveys performed at 52 stream sites over a 22-year period were assessed using logistic regression analysis to help inform the U.S. Environmental Protection Agency’s assessment of the environmental impacts of emissions of oxides of nitrogen (NOx) and sulfur (SOx). Numerous logistic equations and associated curves were derived that defined the relations between acid neutralizing capacity (ANC) or pH and different levels of community richness, density, and biomass; and density and biomass of brook trout, rainbow trout, and small prey (minnow) populations in streams of the GRSM. The equations and curves describe the status of fish assemblages in the GRSM under contemporary emission levels and deposition loads of nitrogen (N) and sulfur (S) and provide a means to estimate how newly proposed (and various alternative) target deposition loads, which strongly influence stream ANC, might affect key ecological indicators. Several examples using ANC, community richness, and brook trout density are presented to illustrate the steps needed to predict how future changes in stream chemistry (resulting from different target deposition loads of N and S) will affect the probabilities of observing specific levels of selected biological indicators in GRSM streams. The implications of this study to the regulation of NOx and SOx emissions, water quality, and fisheries management in streams of the GRSM are discussed, but also qualified by the fact that specific examples provided need to be further explored before recommendations concerning their use as ecological indicators could be proposed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2018.01.021","usgsCitation":"Baldigo, B.P., Kulp, M.A., and Schwartz, J.S., 2018, Relationships between indicators of acid-base chemistry and fish assemblages in streams of the Great Smoky Mountains National Park: Ecological Indicators, v. 88, p. 465-484, https://doi.org/10.1016/j.ecolind.2018.01.021.","productDescription":"20 p.","startPage":"465","endPage":"484","ipdsId":"IP-083415","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":351234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.16900634765625,\n 35.34201475584807\n ],\n [\n -82.72979736328125,\n 35.34201475584807\n ],\n [\n -82.72979736328125,\n 35.92909271208457\n ],\n [\n -84.16900634765625,\n 35.92909271208457\n ],\n [\n -84.16900634765625,\n 35.34201475584807\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e69e4b00f54eb22926b","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulp, Matt A.","contributorId":196801,"corporation":false,"usgs":false,"family":"Kulp","given":"Matt","email":"","middleInitial":"A.","affiliations":[{"id":35484,"text":"National Park Service, Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":727729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, John S.","contributorId":196802,"corporation":false,"usgs":false,"family":"Schwartz","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":36358,"text":" University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":727730,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195285,"text":"70195285 - 2018 - Juvenile coho salmon growth and health in streams across an urbanization gradient","interactions":[],"lastModifiedDate":"2018-02-07T12:12:02","indexId":"70195285","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","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":"Juvenile coho salmon growth and health in streams across an urbanization gradient","docAbstract":"Expanding human population and urbanization alters freshwater systems through structural changes to habitat, temperature effects from increased runoff and reduced canopy cover, altered flows, and increased toxicants. Current stream assessments stop short of measuring health or condition of species utilizing these freshwater habitats and fail to link specific stressors mechanistically to the health of organisms in the stream. Juvenile fish growth integrates both external and internal conditions providing a useful indicator of habitat quality and ecosystem health. Thus, there is a need to account for ecological and environmental influences on fish growth accurately. Bioenergetics models can simulate changes in growth and consumption in response to environmental conditions and food availability to account for interactions between an organism's environmental experience and utilization of available resources. The bioenergetics approach accounts for how thermal regime, food supply, and food quality affect fish growth. This study used a bioenergetics modeling approach to evaluate the environmental factors influencing juvenile coho salmon growth among ten Pacific Northwest streams spanning an urban gradient. Urban streams tended to be warmer, have earlier emergence dates and stronger early season growth. However, fish in urban streams experienced increased stress through lower growth efficiencies, especially later in the summer as temperatures warmed, with as much as a 16.6% reduction when compared to fish from other streams. Bioenergetics modeling successfully characterized salmonid growth in small perennial streams as part of a more extensive monitoring program and provides a powerful assessment tool for characterizing mixed life-stage specific responses in urban streams.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.12.327","usgsCitation":"Spanjer, A., Moran, P.W., Larsen, K., Wetzel, L., Hansen, A.G., and Beauchamp, D.A., 2018, Juvenile coho salmon growth and health in streams across an urbanization gradient: Science of the Total Environment, v. 625, p. 1003-1012, https://doi.org/10.1016/j.scitotenv.2017.12.327.","productDescription":"10 p.","startPage":"1003","endPage":"1012","ipdsId":"IP-091284","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469018,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.12.327","text":"Publisher Index Page"},{"id":438023,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7W094WD","text":"USGS data release","linkHelpText":"Influence of urbanization on the health of juvenile salmonids in Pacific Northwest perennial streams"},{"id":351235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"625","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e68e4b00f54eb229268","contributors":{"authors":[{"text":"Spanjer, Andrew R.","contributorId":202171,"corporation":false,"usgs":false,"family":"Spanjer","given":"Andrew R.","affiliations":[{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":727732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larsen, Kimberly 0000-0001-7978-2452","orcid":"https://orcid.org/0000-0001-7978-2452","contributorId":202172,"corporation":false,"usgs":true,"family":"Larsen","given":"Kimberly","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wetzel, Lisa 0000-0003-3178-9940","orcid":"https://orcid.org/0000-0003-3178-9940","contributorId":202173,"corporation":false,"usgs":true,"family":"Wetzel","given":"Lisa","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Adam G.","contributorId":197415,"corporation":false,"usgs":false,"family":"Hansen","given":"Adam","email":"","middleInitial":"G.","affiliations":[{"id":34919,"text":"Colorado Parks and Wildlife, 317 West Prospect Road, Fort Collins, Colorado 80526, USA","active":true,"usgs":false}],"preferred":false,"id":727736,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727731,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195289,"text":"70195289 - 2018 - Quarterly wildlife mortality report January 2018","interactions":[],"lastModifiedDate":"2023-10-13T14:05:18.459016","indexId":"70195289","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3769,"text":"Wildlife Disease Association Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Quarterly wildlife mortality report January 2018","docAbstract":"No abstract available.
","language":"English","publisher":"Wildlife Disease Association","usgsCitation":"Richards, B.J., Grear, D.A., Ballmann, A., Dusek, R.J., Kaler, R., and Kuletz, K., 2018, Quarterly wildlife mortality report January 2018: Wildlife Disease Association Newsletter, HTML document.","productDescription":"HTML document","ipdsId":"IP-093337","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":351285,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wildlifedisease.org/PersonifyEbusiness/Resources/Publications/Newsletter/Archive"},{"id":351298,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e68e4b00f54eb229264","contributors":{"authors":[{"text":"Richards, Bryan J. 0000-0001-9955-2523 brichards@usgs.gov","orcid":"https://orcid.org/0000-0001-9955-2523","contributorId":3533,"corporation":false,"usgs":true,"family":"Richards","given":"Bryan","email":"brichards@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":727755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":727756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":727757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":727758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaler, Robert","contributorId":199324,"corporation":false,"usgs":false,"family":"Kaler","given":"Robert","email":"","affiliations":[],"preferred":false,"id":727759,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuletz, Kathy","contributorId":202179,"corporation":false,"usgs":false,"family":"Kuletz","given":"Kathy","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":727760,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70194701,"text":"sir20175151 - 2018 - Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico","interactions":[],"lastModifiedDate":"2018-02-07T17:11:00","indexId":"sir20175151","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5151","title":"Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Bureau of Land Management, conducted a study to assess the water resources and potential effects on the water resources from oil and gas development in the Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area.
The Tri-County planning area includes approximately 9.3 million acres and is within the eastern extent of the Basin and Range Province, which consists of mountain ranges and low elevation basins. Three specific areas of interest within the Tri-County planning area are the Jornada del Muerto, Tularosa Basin, and Otero Mesa, which is adjacent to the Salt Basin. Surface-water resources are limited in the Tri-County planning area, with the Rio Grande as the main perennial river flowing from north to south through Sierra and Doña Ana Counties. The Tularosa Creek is an important surface-water resource in the Tularosa Basin. The Sacramento River, which flows southeast out of the Sacramento Mountains, is an important source of recharge to aquifers in the Salt Basin. Groundwater resources vary in aquifer type, depth to water, and water quality. For example, the Jornada del Muerto, Tularosa Basin, and Salt Basin each have shallow and deep aquifer systems, and water can range from freshwater, with less than 1,000 milligrams per liter (mg/L) of total dissolved solids, to brine, with greater than 35,000 mg/L of total dissolved solids. Water quality in the Tri-County planning area is affected by the dissolution of salt deposits and evaporation which are common in arid regions such as southern New Mexico.
The potential for oil and gas development exists in several areas within the Tri-County area. As many as 81 new conventional wells and 25 coalbed natural gas wells could be developed by 2035. Conventional oil and gas well construction in the Tri-County planning area is expected to require 1.53 acre-feet (acre-ft) (500,000 gallons) of water per well, similar to requirements in the nearby Permian Basin of New Mexico, while construction of unconventional wells is expected to require 7.3 acre-ft of water per well. Produced waters in the Permian Basin have high total dissolved solids, in the brackish to brine range.
Data gaps identified in this study include the limited detailed data on surface-water resources, the lack of groundwater data in areas of interest, and the lack of water chemistry data related to oil and gas development issues. Surface waters in the Tri-County planning area are sparse; some streams are perennial, and most are ephemeral. A more detailed study of the ephemeral channels and their interaction with groundwater could provide a better understanding of the importance of these surface-water resources. Groundwater data used in this study are from the USGS National Water Information System, which does not have continuous water-level depth data at many of the sites in the Tri-County planning area. On Otero Mesa, no recurrent groundwater-level data are available at any one site. The water-quality data compiled in this study provide a good overview of the general chemistry of groundwater in the Tri-County planning area. To fully understand the groundwater resources, it would be helpful to have more wells in specific areas of interest for groundwater-level and water-quality measurements.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175151","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Blake, J.M., Miltenberger, Keely, Stewart, Anne, Ritchie, Andre, Montoya, Jennifer, Durr, Corey, McHugh, Amy, and Charles, Emmanuel, 2018, Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico: U.S. Geological Survey Scientific Investigations Report 2017–5151, 87 p., https://doi.org/10.3133/sir20175151. 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Ana\",\"state\":\"NM\"}}]}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
5338 Montgomery Blvd., NE Suite 400
Albuquerque, NM 87109–1311
Aim
Climate warming is causing extensive loss of glaciers in mountainous regions, yet our understanding of how glacial recession influences evolutionary processes and genetic diversity is limited. Linking genetic structure with the influences shaping it can improve understanding of how species respond to environmental change. Here, we used genome-scale data and demographic modelling to resolve the evolutionary history of Lednia tumana, a rare, aquatic insect endemic to alpine streams. We also employed a range of widely used data filtering approaches to quantify how they influenced population structure results.
Location
Alpine streams in the Rocky Mountains of Glacier National Park, Montana, USA.
Taxon
Lednia tumana, a stonefly (Order Plecoptera) in the family Nemouridae.
Methods
We generated single nucleotide polymorphism data through restriction-site associated DNA sequencing to assess contemporary patterns of genetic structure for 11 L. tumana populations. Using identified clusters, we assessed demographic history through model selection and parameter estimation in a coalescent framework. During population structure analyses, we filtered our data to assess the influence of singletons, missing data and total number of markers on results.
Results
Contemporary patterns of population structure indicate that L. tumana exhibits a pattern of isolation-by-distance among populations within three genetic clusters that align with geography. Mean pairwise genetic differentiation (FST) among populations was 0.033. Coalescent-based demographic modelling supported divergence with gene flow among genetic clusters since the end of the Pleistocene (~13-17 kya), likely reflecting the south-to-north recession of ice sheets that accumulated during the Wisconsin glaciation.
Main conclusions
We identified a link between glacial retreat, evolutionary history and patterns of genetic diversity for a range-restricted stonefly imperiled by climate change. This finding included a history of divergence with gene flow, an unexpected conclusion for a mountaintop species. Beyond L. tumana, this study demonstrates the complexity of assessing genetic structure for weakly differentiated species, shows the degree to which rare alleles and missing data may influence results, and highlights the usefulness of genome-scale data to extend population genetic inquiry in non-model species.
","language":"English","publisher":"Wiley","doi":"10.1111/jbi.13125","usgsCitation":"Hotaling, S., Muhlfeld, C.C., Giersch, J.J., Ali, O., Jordan, S., Miller, M.R., Luikart, G., and Weisrock, D.W., 2018, Demographic modelling reveals a history of divergence with gene flow for a glacially tied stonefly in a changing post-Pleistocene landscape: Journal of Biogeography, v. 45, no. 2, p. 304-317, https://doi.org/10.1111/jbi.13125.","productDescription":"14 p.","startPage":"304","endPage":"317","ipdsId":"IP-090859","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":351237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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