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,{"id":70190254,"text":"70190254 - 2017 - Shaken and stirred: Seismic evidence of Chicxulub impact effects on the West Florida carbonate platform, Gulf of Mexico","interactions":[],"lastModifiedDate":"2021-02-04T16:04:50.021328","indexId":"70190254","displayToPublicDate":"2017-10-02T10:01:42","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Shaken and stirred: Seismic evidence of Chicxulub impact effects on the West Florida carbonate platform, Gulf of Mexico","docAbstract":"<p><span>A grid of 33 seismic reflection profiles collected on the West Florida Shelf (Gulf of Mexico) reveals evidence of impact-induced seismic shaking and subsequent erosion of the Upper Cretaceous Selma–Pine Key depositional sequence across a wide region (∼102.3 × 10</span><sup>3</sup><span>&nbsp;km</span><sup>2</sup><span>) of the buried Cretaceous carbonate platform. These attributes can be traced from outcrops at the Florida Escarpment to locations as far as ∼300 km into the interior of the platform. This evidence suggests a platform-interior provenance for much of the massive Chicxulub impact deposit that borders the base of the Florida Escarpment and adjacent northern Gulf of Mexico continental slope. This report opens a new window on the widespread destructive power of seismic energy released by large bolides striking shallow continental shelves.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G39438.1","usgsCitation":"Poag, C., 2017, Shaken and stirred: Seismic evidence of Chicxulub impact effects on the West Florida carbonate platform, Gulf of Mexico: Geology, v. 45, no. 11, p. 1011-1014, https://doi.org/10.1130/G39438.1.","productDescription":"4 p.","startPage":"1011","endPage":"1014","ipdsId":"IP-082197","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":382952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","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              -81.727294921875,\n              25.82956108605351\n            ],\n            [\n              -82.36450195312499,\n              26.667095801104814\n            ],\n            [\n              -82.8369140625,\n              27.68352808378776\n            ],\n            [\n              -83.001708984375,\n              28.033197847676377\n            ],\n            [\n              -82.73803710937499,\n              28.8831596093235\n            ],\n            [\n              -84.144287109375,\n              30.050076521698735\n            ],\n            [\n              -84.88037109375,\n              29.621221113784504\n            ],\n            [\n              -86.0888671875,\n              30.173624550358536\n            ],\n            [\n              -87.550048828125,\n              30.15462722077597\n            ],\n            [\n              -89.14306640625,\n              30.240086360983426\n            ],\n            [\n              -88.87939453125,\n              26.509904531413927\n            ],\n            [\n              -88.5498046875,\n              24.716895455859337\n            ],\n            [\n              -88.121337890625,\n              23.85569800975124\n            ],\n            [\n              -83.6279296875,\n              24.776759933219164\n            ],\n            [\n              -81.5185546875,\n              25.27450351782018\n            ],\n            [\n              -81.727294921875,\n              25.82956108605351\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"11","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Poag, Claude (Wylie) 0000-0002-6240-4065 wpoag@usgs.gov","orcid":"https://orcid.org/0000-0002-6240-4065","contributorId":195779,"corporation":false,"usgs":true,"family":"Poag","given":"Claude (Wylie)","email":"wpoag@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708168,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206060,"text":"70206060 - 2017 - Have mummichog (Fundulus heteroclitus) from the lower Penobscot River, Maine, developed tolerance to the toxic effects of mercury?","interactions":[],"lastModifiedDate":"2019-10-21T07:09:24","indexId":"70206060","displayToPublicDate":"2017-10-02T07:09:11","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Have mummichog (Fundulus heteroclitus) from the lower Penobscot River, Maine, developed tolerance to the toxic effects of mercury?","docAbstract":"Fish populations that are chronically exposed to mercury (Hg) can develop resistance to the toxic effects of this metal, including mummichog (Fundulus heteroclitus; Weis 2002).  Such resistance allows them to potentially accumulate very high levels of this contaminant (Stefansson et al. 2013). Mercury is a neurotoxin that affects behavior in fish, including swimming and the ability to capture prey (Samson et al. 2001, Zhou et al. 2001), and behavior, reproduction and immune function in birds (Evers et al. 2008, Hawley et al. 2009).  Ingestion of mercury-contaminated prey could have significant, and severe, effects on migratory fish and piscivorous birds, including loons (Evers et al. 2008). We found that mercury concentrations in resident mummichog collected from sites in the lower Penobscot River in 2011 were 9 to 16 times higher than Hg levels in mummichog from a control site in Wells, Maine (Elskus 2012).   For part one of this study, reproductively mature male and female mummichog were collected in Fall 2015 from two sites in Maine: Bald Hill Cove, a mercury-contaminated site along the mercury gradient of the Penobscot River, and Drake, a reference site  at the Wells National Estuarine Research Reserve.  These parental fish were housed at the US EPA laboratory (Narragansett, RI).  Beginning in Spring 2016, these fish were fed diets containing either low or high concentrations of mercury for 28 days. Embryos were collected from these parents and divided into subsets.  One subset was used to measure the mercury concentrations in the embryos, the second subset was shipped to the University of Maine where they were hatched, and the larval fish evaluated for behavioral effects. For part two of this study, adult mummichog were collected from Hg-contaminated Bald Hill Cove and from a reference site, Wells, in the  Wells National Estuarine Reserve  and evaluated for mercury body burdens and  behavior. In Study 1, mercury was maternally transferred to the progeny demonstrating this is one pathway of generational exposure to mercury. Unfortunately, all larvae from the mercury-contaminated Bald Hill Cove population died before behavioral analysis could be done. Behavioral studies of the reference Drake population, however, demonstrated no significant differences between offspring of parents fed high mercury diets and offspring of parents fed low mercury diets. In Study 2, adult fish from the mercury contaminated BHC population had mercury body burdens that were four times higher than those in the reference Wells population, but while fewer BHC adults performed prey strikes than the Wells adults, there were no other significant behavioral differences between the two populations. In conclusion, the main hypothesis, that fish from the site receiving chronic mercury exposure had developed resistance to mercury toxicity, could not be definitively determined due to the death of embryos from the chronically exposed population.  However, the present study did reveal some behavioral effects associated with mercury exposure that warrant further study.  Behavioral approaches are important because they address  some of the basic and difficult questions surrounding contaminant exposures; namely that sub-lethal effects are important to evaluate because they may have consequences for individual and perhaps population survival.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Report to the Joint Standing Committee on Environment and Natural Resources","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Maine Department of Environmental Protection","collaboration":"Maine Department of Environmental Protection","usgsCitation":"Elskus, A., and Van Beneden, R., 2017, Have mummichog (Fundulus heteroclitus) from the lower Penobscot River, Maine, developed tolerance to the toxic effects of mercury?, 38 p.","productDescription":"38 p.","startPage":"184","endPage":"221","ipdsId":"IP-091635","costCenters":[{"id":365,"text":"Leetown Science 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,{"id":70239816,"text":"70239816 - 2017 - Influence of the megathrust earthquake cycle on upper-plate deformation in the Cascadia forearc of Washington State, USA","interactions":[],"lastModifiedDate":"2023-01-20T12:43:03.220753","indexId":"70239816","displayToPublicDate":"2017-10-02T06:39:27","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of the megathrust earthquake cycle on upper-plate deformation in the Cascadia forearc of Washington State, USA","docAbstract":"<div id=\"107806598\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>The influence of subduction zone earthquake cycle processes on permanent forearc deformation is poorly understood. In the Cascadia subduction zone forearc of Washington State, USA, deformed and incised fluvial terraces serve as archives of longer-term (10<sup>3</sup>–10<sup>4</sup><span>&nbsp;</span>yr) strain manifest as both fluvial incision and slip on upper-plate faults. We focus on comparing these geomorphic records in the Wynoochee River valley in the southern Olympic Mountains with short-term (10<sup>1</sup><span>&nbsp;</span>yr) deformation driven by interseismic subduction zone coupling. We use optically stimulated luminescence dating and high-resolution elevation data to characterize strath terrace incision and differential uplift across the Canyon River fault, which cuts Wynoochee River terraces. This analysis demonstrates reverse slip rates of ∼0.1–0.3 mm/yr over the past ∼12–37 k.y., which agree with rates predicted by a GPS-constrained boundary element model of interseismic stress from Cascadia subduction zone coupling. Similarly, model-predicted patterns of interseismic uplift mimic the overall pattern of incision in the lower Wynoochee River valley, as revealed by strath elevations dated at 14.1 ± 1.2 ka. Agreement between modeled short-term and observed long-term records of forearc strain suggests that interseismic stress drives slip on upper-plate faults and fluvial incision in Cascadia. Consistency over multiple time scales may indicate relative stability in spatial patterns of subduction zone coupling over at least ∼10<sup>4</sup><span>&nbsp;</span>yr intervals.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G39070.1","usgsCitation":"Delano, J.E., Amos, C.B., Loveless, J.P., Rittenour, T.M., Sherrod, B.L., and Emerson, L.M., 2017, Influence of the megathrust earthquake cycle on upper-plate deformation in the Cascadia forearc of Washington State, USA: Geology, v. 45, no. 11, p. 1051-1054, https://doi.org/10.1130/G39070.1.","productDescription":"4 p.","startPage":"1051","endPage":"1054","ipdsId":"IP-088920","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469464,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.smith.edu/geo_facpubs/24","text":"External Repository"},{"id":412110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cascadia forearc","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.2032729732052,\n              48.680479170986615\n            ],\n            [\n              -125.2032729732052,\n              46.36730413682102\n            ],\n            [\n              -121.86484698690327,\n              46.36730413682102\n            ],\n            [\n              -121.86484698690327,\n              48.680479170986615\n            ],\n            [\n              -125.2032729732052,\n              48.680479170986615\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"45","issue":"11","noUsgsAuthors":false,"publicationDate":"2017-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Delano, Jaime E. 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":210604,"corporation":false,"usgs":true,"family":"Delano","given":"Jaime","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":862028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amos, Colin B. 0000-0002-3862-9344","orcid":"https://orcid.org/0000-0002-3862-9344","contributorId":266018,"corporation":false,"usgs":false,"family":"Amos","given":"Colin","email":"","middleInitial":"B.","affiliations":[{"id":54859,"text":"Geology Department, Western Washington University, 516 High St., Bellingham, WA, 98225","active":true,"usgs":false}],"preferred":false,"id":862029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loveless, John P.","contributorId":301106,"corporation":false,"usgs":false,"family":"Loveless","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":47946,"text":"Smith College","active":true,"usgs":false}],"preferred":false,"id":862030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":862031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":862032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emerson, Lynch M.","contributorId":301108,"corporation":false,"usgs":false,"family":"Emerson","given":"Lynch","email":"","middleInitial":"M.","affiliations":[{"id":47946,"text":"Smith College","active":true,"usgs":false}],"preferred":false,"id":862033,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188556,"text":"70188556 - 2017 - The Conservation Efforts Database: Improving  our knowledge of landscape conservation actions","interactions":[],"lastModifiedDate":"2017-11-27T10:49:29","indexId":"70188556","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"The Conservation Efforts Database: Improving  our knowledge of landscape conservation actions","docAbstract":"<p><span>The Conservation Efforts Database (CED) is a secure, cloud-based tool that can be used to document and track conservation actions across landscapes. A recently released factsheet describes this tool ahead of the rollout of CED version 2.0. The CED was developed by the U.S. Fish and Wildlife Service, the USGS, and the Great Northern Landscape Conservation Cooperative to support the 2015 Endangered Species Act status review for greater sage-grouse. Currently, the CED accepts policy-level data, such as Land Use Plans, and treatment level data, such as conifer removals and post-fire recovery efforts, as custom spatial and non-spatial records. In addition to a species assessment tool, the CED can also be used to summarize the extent of restoration efforts within a specific area or to strategically site conservation actions based on the location of other implemented actions. The CED can be an important tool, along with post-conservation monitoring, for implementing landscape-scale adaptive management.</span></p>","language":"English","publisher":"Great Northern Landscape Conservation Cooperative ","usgsCitation":"Heller, M.M., Welty, J.L., and Wiechman, L.A., 2017, The Conservation Efforts Database: Improving  our knowledge of landscape conservation actions, 2 p.","productDescription":"2 p.","numberOfPages":"2","ipdsId":"IP-087922","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":349328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349327,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://conservationefforts.org"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb39e4b06e28e9c22e08","contributors":{"authors":[{"text":"Heller, Matthew M.","contributorId":192963,"corporation":false,"usgs":false,"family":"Heller","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":698331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":4206,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":698330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":698332,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191231,"text":"70191231 - 2017 - The concurrent use of novel soil surface microclimate measurements to evaluate CO2 pulses in biocrusted interspaces in a cool desert ecosystem","interactions":[],"lastModifiedDate":"2017-10-02T16:21:32","indexId":"70191231","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The concurrent use of novel soil surface microclimate measurements to evaluate CO<sub>2</sub> pulses in biocrusted interspaces in a cool desert ecosystem","title":"The concurrent use of novel soil surface microclimate measurements to evaluate CO2 pulses in biocrusted interspaces in a cool desert ecosystem","docAbstract":"<p><span>Carbon cycling associated with biological soil crusts, which occupy interspaces between vascular plants in drylands globally, may be an important part of the coupled climate-carbon cycle of the Earth system. A major challenge to understanding CO</span><sub>2</sub><span><span>&nbsp;</span>fluxes in these systems is that much of the biotic and biogeochemical activity occurs in the upper few mm of the soil surface layer (i.e., the ‘mantle of fertility’), which exhibits highly dynamic and difficult to measure temperature and moisture fluctuations. Here, we report a multi-sensor approach to simultaneously measuring temperature and moisture of this biocrust surface layer (0–2&nbsp;mm), and the deeper soil profile, concurrent with automated measurement of surface soil CO</span><sub>2</sub><span>effluxes. Our results illuminate robust relationships between biocrust water content and field CO</span><sub>2</sub><span><span>&nbsp;</span>pulses that have previously been difficult to detect and explain. All observed CO</span><sub>2</sub><span><span>&nbsp;</span>pulses over the measurement period corresponded to surface wetting events, including when the wetting events did not penetrate into the soil below the biocrust layer (0–2&nbsp;mm). The variability of temperature and moisture of the biocrust surface layer was much greater than even in the 0–5&nbsp;cm layer of the soil beneath the biocrust, or deeper in the soil profile. We therefore suggest that coupling surface measurements of biocrust moisture and temperature to automated CO</span><sub>2</sub><span>flux measurements may greatly improve our understanding of the climatic sensitivity of carbon cycling in biocrusted interspaces in our study region, and that this method may be globally relevant and applicable.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-017-0372-3","usgsCitation":"Tucker, C., McHugh, T.A., Howell, A.J., Gill, R., Weber, B., Belnap, J., Grote, E.E., and Reed, S.C., 2017, The concurrent use of novel soil surface microclimate measurements to evaluate CO2 pulses in biocrusted interspaces in a cool desert ecosystem: Biogeochemistry, v. 135, no. 3, p. 239-249, https://doi.org/10.1007/s10533-017-0372-3.","productDescription":"11 p.","startPage":"239","endPage":"249","ipdsId":"IP-079658","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":346333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"135","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-09","publicationStatus":"PW","scienceBaseUri":"59d35025e4b05fe04cc34d4b","contributors":{"authors":[{"text":"Tucker, Colin 0000-0002-4539-7780 ctucker@usgs.gov","orcid":"https://orcid.org/0000-0002-4539-7780","contributorId":167487,"corporation":false,"usgs":true,"family":"Tucker","given":"Colin","email":"ctucker@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Theresa A.","contributorId":195169,"corporation":false,"usgs":false,"family":"McHugh","given":"Theresa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howell, Armin J. 0000-0003-1243-0238 ahowell@usgs.gov","orcid":"https://orcid.org/0000-0003-1243-0238","contributorId":196798,"corporation":false,"usgs":true,"family":"Howell","given":"Armin","email":"ahowell@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gill, Richard 0000-0001-8981-0621","orcid":"https://orcid.org/0000-0001-8981-0621","contributorId":196799,"corporation":false,"usgs":false,"family":"Gill","given":"Richard","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":711637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weber, Bettina","contributorId":196800,"corporation":false,"usgs":false,"family":"Weber","given":"Bettina","email":"","affiliations":[],"preferred":false,"id":711638,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711639,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grote, Edmund E. 0000-0002-9103-9482 ed_grote@usgs.gov","orcid":"https://orcid.org/0000-0002-9103-9482","contributorId":4271,"corporation":false,"usgs":true,"family":"Grote","given":"Edmund","email":"ed_grote@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711640,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711641,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70191268,"text":"70191268 - 2017 - Model parameters for representative wetland plant functional groups","interactions":[],"lastModifiedDate":"2017-10-08T12:16:12","indexId":"70191268","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Model parameters for representative wetland plant functional groups","docAbstract":"<p><span>Wetlands provide a wide variety of ecosystem services including water quality remediation, biodiversity refugia, groundwater recharge, and floodwater storage. Realistic estimation of ecosystem service benefits associated with wetlands requires reasonable simulation of the hydrology of each site and realistic simulation of the upland and wetland plant growth cycles. Objectives of this study were to quantify leaf area index (LAI), light extinction coefficient (</span><i>k</i><span>), and plant nitrogen (N), phosphorus (P), and potassium (K) concentrations in natural stands of representative plant species for some major plant functional groups in the United States. Functional groups in this study were based on these parameters and plant growth types to enable process-based modeling. We collected data at four locations representing some of the main wetland regions of the United States. At each site, we collected on-the-ground measurements of fraction of light intercepted, LAI, and dry matter within the 2013–2015 growing seasons. Maximum LAI and<span>&nbsp;</span></span><i>k</i><span><span>&nbsp;</span>variables showed noticeable variations among sites and years, while overall averages and functional group averages give useful estimates for multisite simulation modeling. Variation within each species gives an indication of what can be expected in such natural ecosystems. For P and K, the concentrations from highest to lowest were spikerush (</span><i>Eleocharis macrostachya</i><span>), reed canary grass (</span><i>Phalaris arundinacea</i><span>), smartweed (</span><i>Polygonum</i><span><span>&nbsp;</span>spp.), cattail (</span><i>Typha</i><span><span>&nbsp;</span>spp.), and hardstem bulrush (</span><i>Schoenoplectus acutus</i><span>). Spikerush had the highest N concentration, followed by smartweed, bulrush, reed canary grass, and then cattail. These parameters will be useful for the actual wetland species measured and for the wetland plant functional groups they represent. These parameters and the associated process-based models offer promise as valuable tools for evaluating environmental benefits of wetlands and for evaluating impacts of various agronomic practices in adjacent areas as they affect wetlands.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1958","usgsCitation":"Williams, A.S., Kiniry, J.R., Mushet, D.M., Smith, L., McMurry, S.T., Attebury, K., Lang, M., McCarty, G.W., Shaffer, J.A., Effland, W.R., and Johnson, M., 2017, Model parameters for representative wetland plant functional groups: Ecosphere, v. 8, no. 10, p. 1-14, https://doi.org/10.1002/ecs2.1958.","productDescription":"Article e01958; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-075940","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1958","text":"Publisher Index Page"},{"id":346339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-02","publicationStatus":"PW","scienceBaseUri":"59d35025e4b05fe04cc34d45","contributors":{"authors":[{"text":"Williams, Amber S.","contributorId":196855,"corporation":false,"usgs":false,"family":"Williams","given":"Amber","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":711793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiniry, James R.","contributorId":66918,"corporation":false,"usgs":true,"family":"Kiniry","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":711794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":711795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Loren M.","contributorId":88876,"corporation":false,"usgs":true,"family":"Smith","given":"Loren M.","affiliations":[],"preferred":false,"id":711796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMurry, Scott T.","contributorId":191876,"corporation":false,"usgs":false,"family":"McMurry","given":"Scott","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":711797,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Attebury, Kelly","contributorId":196857,"corporation":false,"usgs":false,"family":"Attebury","given":"Kelly","email":"","affiliations":[],"preferred":false,"id":711798,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":711799,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCarty, Gregory W.","contributorId":192367,"corporation":false,"usgs":false,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":711800,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":711801,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Effland, William R.","contributorId":196858,"corporation":false,"usgs":false,"family":"Effland","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":711802,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Mari-Vaughn V.","contributorId":196859,"corporation":false,"usgs":false,"family":"Johnson","given":"Mari-Vaughn V.","affiliations":[],"preferred":false,"id":711803,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70191225,"text":"70191225 - 2017 - Landscape movements by two species of migratory nectar-feeding bats (Leptonycteris) in a northern area of seasonal sympatry","interactions":[],"lastModifiedDate":"2018-02-14T14:28:38","indexId":"70191225","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Landscape movements by two species of migratory nectar-feeding bats (<i>Leptonycteris</i>) in a northern area of seasonal sympatry","title":"Landscape movements by two species of migratory nectar-feeding bats (Leptonycteris) in a northern area of seasonal sympatry","docAbstract":"<p><span>Animals often migrate to exploit seasonally ephemeral food. Three species of nectar-feeding phyllostomid bats migrate north from Mexico into deserts of the United States each spring and summer to feed on blooms of columnar cactus and century plants (</span><i>Agave</i><span><span>&nbsp;</span>spp.). However, the habitat needs of these important desert pollinators are poorly understood. We followed the nighttime movements of 2 species of long-nosed bats (</span><i>Leptonycteris yerbabuenae</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>L. nivalis</i><span>) in an area of late-summer sympatry at the northern edges of their migratory ranges. We radio-tracked bats in extreme southwestern New Mexico during 22 nights over 2 summers and acquired location estimates for 31 individuals. Both species cohabitated 2 major day roosts that were 30 km apart and in different mountain ranges, and individual bats sometimes moved between the roosts. Sampling was opportunistic and limited, but there were no obvious qualitative differences in observed patterns of movement between species or years, or among sex, age, and reproductive groups. Both species were observed foraging most often in the mountain range that had a relatively higher observed density of presumed food plants (</span><i>Agave palmeri</i><span>); when roosting in an adjacent mountain range, bats sometimes commuted &gt;20 km one way to forage. Contrary to evidence indicating these species partition resources farther south in Mexico, our findings suggest that<span>&nbsp;</span></span><i>L. yerbabuenae</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>L. nivalis</i><span><span>&nbsp;</span>seasonally share common roost and food resources during late summer in this northern area of sympatry.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0305","usgsCitation":"Bogan, M.A., Cryan, P.M., Weise, C.D., and Valdez, E.W., 2017, Landscape movements by two species of migratory nectar-feeding bats (Leptonycteris) in a northern area of seasonal sympatry: Western North American Naturalist, v. 77, no. 3, p. 317-330, https://doi.org/10.3398/064.077.0305.","productDescription":"14 p.","startPage":"317","endPage":"330","ipdsId":"IP-087509","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502597,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss3/4","text":"External Repository"},{"id":438195,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7000101","text":"USGS data release","linkHelpText":"Radio telemetry data on nighttime movements of two species of migratory nectar-feeding bats (Leptonycteris) in Hidalgo County, New Mexico, late-summer 2004 and 2005"},{"id":346335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d35026e4b05fe04cc34d52","contributors":{"authors":[{"text":"Bogan, Michael A.","contributorId":196745,"corporation":false,"usgs":false,"family":"Bogan","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":147942,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weise, Christa D.","contributorId":196746,"corporation":false,"usgs":false,"family":"Weise","given":"Christa","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":711610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711611,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191226,"text":"70191226 - 2017 - Identification of Chelonid herpesvirus 5 (ChHV5) in endangered green turtles (Chelonia mydas) with fibropapillomatosis in Asia","interactions":[],"lastModifiedDate":"2017-10-16T14:15:35","indexId":"70191226","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1106,"text":"Bulletin of Marine Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Identification of <i>Chelonid herpesvirus 5</i> (ChHV5) in endangered green turtles (<i>Chelonia mydas</i>) with fibropapillomatosis in Asia","title":"Identification of Chelonid herpesvirus 5 (ChHV5) in endangered green turtles (Chelonia mydas) with fibropapillomatosis in Asia","docAbstract":"<p><span>Fibropapillomatosis (FP), a debilitating tumor disease of sea turtles, was first identified in green turtles [</span><i>Chelonia mydas</i><span><span>&nbsp;</span>(Linnaeus, 1758)] in Florida in 1938. In recent decades, FP has been observed globally and is an emerging panzootic disease in sea turtles. However, few reports of FP in Asia exist. Here, we provide the first evidence of<span>&nbsp;</span></span><i>Chelonid herpesvirus 5</i><span><span>&nbsp;</span>(ChHV5) DNA associated with FP in endangered green turtles from Taiwan, through molecular characterization, phylogenetic analysis, and histopathological examination. In our study, ChHV5 was successfully detected by PCR in the FP tumor lesions of green turtles. The sequences were found to be consistent with those of tumor-inducing viruses shown to affect sea turtles in the other parts of the world. ChHV5 RNA from the FP tissues was further detected by RT-PCR, indicating active replication of the viruses inside FP tumors. In addition to the molecular evidence of ChHV5 in FP, epidermal intranuclear inclusions were identified in tumor lesions upon histopathological examination. This further suggests that ChHV5 should be in a transcriptionally active (i.e., non-latent) state in FP tumors of affected green turtles. The phylogenetic tree revealed that ChHV5 from the green turtles in Taiwan were closest to the ChHV5 from Hawaii, Puerto Rico, and Sao Tome. For conservation of endangered sea turtles, ChHV5 should be considered an emerging virus, which threatens sea turtles in marine waters in Asia.</span></p>","language":"English","publisher":"University of Miami - Rosenstiel School of Marine and Atmospheric Science","doi":"10.5343/bms.2017.1018","usgsCitation":"Li, T., Hsu, W., Lan, Y., Balazs, G.H., Work, T.M., Tseng, C., and Chang, C., 2017, Identification of Chelonid herpesvirus 5 (ChHV5) in endangered green turtles (Chelonia mydas) with fibropapillomatosis in Asia: Bulletin of Marine Science, v. 93, no. 4, p. 1011-1022, https://doi.org/10.5343/bms.2017.1018.","productDescription":"12 p.","startPage":"1011","endPage":"1022","ipdsId":"IP-084571","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":346334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d35026e4b05fe04cc34d4f","contributors":{"authors":[{"text":"Li, Tsung-Hsien","contributorId":196784,"corporation":false,"usgs":false,"family":"Li","given":"Tsung-Hsien","email":"","affiliations":[],"preferred":false,"id":711613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hsu, Wei-Li","contributorId":196785,"corporation":false,"usgs":false,"family":"Hsu","given":"Wei-Li","email":"","affiliations":[],"preferred":false,"id":711614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lan, Yu-Ching","contributorId":196786,"corporation":false,"usgs":false,"family":"Lan","given":"Yu-Ching","email":"","affiliations":[],"preferred":false,"id":711615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balazs, George H.","contributorId":127680,"corporation":false,"usgs":false,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":711616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":711612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tseng, Cheng-Tsung","contributorId":196787,"corporation":false,"usgs":false,"family":"Tseng","given":"Cheng-Tsung","email":"","affiliations":[],"preferred":false,"id":711617,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chang, Chao-Chin","contributorId":196788,"corporation":false,"usgs":false,"family":"Chang","given":"Chao-Chin","email":"","affiliations":[],"preferred":false,"id":711618,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191251,"text":"70191251 - 2017 - Increased pheromone signaling by small male sea lamprey has distinct effects on female mate search and courtship","interactions":[],"lastModifiedDate":"2017-10-02T14:13:37","indexId":"70191251","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":982,"text":"Behavioral Ecology and Sociobiology","active":true,"publicationSubtype":{"id":10}},"title":"Increased pheromone signaling by small male sea lamprey has distinct effects on female mate search and courtship","docAbstract":"<p><span>Male body size affects access to mates in many animals. Attributes of sexual signals often correlate with body size due to physiological constraints on signal production. Larger males generally produce larger signals, but costs of being large or compensation by small males can result in smaller males producing signals of equal or greater magnitude. Female choice following multiple male traits with different relationships to size might further complicate the effect of male body size on access to mates. We report the relationship between male body size and pheromone signaling, and the effects on female mate search and courtship in the sea lamprey (</span><i class=\"EmphasisTypeItalic \">Petromyzon marinus</i><span>). We predicted that pheromone production in the liver and the liver mass to body mass ratio would remain constant across sizes, resulting in similar mass-adjusted pheromone release rates across sizes but a positive relationship between absolute pheromone release and body mass. Our results confirmed positive relationships between body mass and liver mass, and liver mass and the magnitude of the pheromone signal. Surprisingly, decreasing body mass was correlated with higher pheromone concentrations in the liver, liver mass to body mass ratios, and mass-adjusted pheromone release rates. In a natural stream, females more often entered nests treated with small versus large male odors. However, close-proximity courtship behaviors were similar in nests treated with small or large male odors. We conclude that small males exhibit increased release of the main pheromone component, but female discrimination of male pheromones follows several axes of variation with different relationships to size.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00265-017-2384-3","usgsCitation":"Buchinger, T.J., Bussy, U., Buchinger, E.G., Fissette, S.D., Li, W., and Johnson, N., 2017, Increased pheromone signaling by small male sea lamprey has distinct effects on female mate search and courtship: Behavioral Ecology and Sociobiology, v. 71, Article 155, https://doi.org/10.1007/s00265-017-2384-3.","productDescription":"Article 155","ipdsId":"IP-088363","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":346323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-30","publicationStatus":"PW","scienceBaseUri":"59d35025e4b05fe04cc34d48","contributors":{"authors":[{"text":"Buchinger, Tyler J.","contributorId":40508,"corporation":false,"usgs":true,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bussy, Ugo","contributorId":150993,"corporation":false,"usgs":false,"family":"Bussy","given":"Ugo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":711684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buchinger, Ethan G.","contributorId":196815,"corporation":false,"usgs":false,"family":"Buchinger","given":"Ethan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":711685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fissette, Skye D.","contributorId":150994,"corporation":false,"usgs":false,"family":"Fissette","given":"Skye","email":"","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":711686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":711687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":711682,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191271,"text":"70191271 - 2017 - Detection and characterization of pulses in broadband seismometers","interactions":[],"lastModifiedDate":"2017-10-02T18:00:51","indexId":"70191271","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Detection and characterization of pulses in broadband seismometers","docAbstract":"<p>Pulsing - caused either by mechanical or electrical glitches, or by microtilt local to a seismometer - can significantly compromise the long‐period noise performance of broadband seismometers. High‐fidelity long‐period recordings are needed for accurate calculation of quantities such as moment tensors, fault‐slip models, and normal‐mode measurements. Such pulses have long been recognized in accelerometers, and methods have been developed to correct these acceleration steps, but considerable work remains to be done in order to detect and correct similar pulses in broadband seismic data. We present a method for detecting and characterizing the pulses using data from a range of broadband sensor types installed in the Global Seismographic Network. The technique relies on accurate instrument response removal and employs a moving‐window approach looking for acceleration baseline shifts. We find that pulses are present at varying levels in all sensor types studied. Pulse‐detection results compared with average daily station noise values are consistent with predicted noise levels of acceleration steps. This indicates that we can calculate maximum pulse amplitude allowed per time window that would be acceptable without compromising long‐period data analysis.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170089","usgsCitation":"Wilson, D.C., Ringler, A.T., and Hutt, C.R., 2017, Detection and characterization of pulses in broadband seismometers: Bulletin of the Seismological Society of America, v. 107, no. 4, p. 1173-1180, https://doi.org/10.1785/0120170089.","productDescription":"8 p.","startPage":"1173","endPage":"1180","ipdsId":"IP-085630","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","scienceBaseUri":"59d35024e4b05fe04cc34d42","contributors":{"authors":[{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":711804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":711805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":711806,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188528,"text":"70188528 - 2017 - Application of paleoecology to ecosystem restoration: A case study from south Florida’s estuaries","interactions":[],"lastModifiedDate":"2018-10-16T09:55:31","indexId":"70188528","displayToPublicDate":"2017-10-01T15:40:27","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Application of paleoecology to ecosystem restoration: A case study from south Florida’s estuaries","docAbstract":"<p><span>Paleoecological analyses of biotic assemblages from cores collected throughout south Florida’s estuaries indicate gradually increasing salinities over approximately the last 2000 years, consistent with rising sea level. Around the beginning of the twentieth century these gradual patterns of change began to shift, corresponding to the beginning of human alteration of the environment via canal construction, railroad construction and other land use changes. Between 1950 and 1960, at a time of significant construction of water management structures another distinctive shift in the biological assemblages occurred. Analysis of the assemblages provides essential information on long-term patterns of change in the estuaries and provides a basis for predicting future trajectories of change. Paleosalinity estimates derived from the cores are providing input to linear regression models to determine related freshwater flow into the estuaries of south Florida. These analyses are being used to help establish performance measures and targets for the Comprehensive Everglades Restoration, established following an Act of Congress in 2000. Restoration of south Florida’s ecosystems is slated to be a 30–50 year effort that will require detailed knowledge of past decadal to centennial-scale changes in climate, freshwater flow and salinity. This historical perspective provides information that allows land managers to set realistic and sustainable goals for restoration, and provides insight into the potential response of south Florida’s ecosystem to various future scenarios of global change.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Applications of paleoenvironmental techniques in estuarine studies. Part of the Developments in Paleoenvironmental Research book series. ","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-024-0990-1_22","usgsCitation":"Wingard, G.L., 2017, Application of paleoecology to ecosystem restoration: A case study from south Florida’s estuaries, chap. <i>of</i> Applications of paleoenvironmental techniques in estuarine studies. Part of the Developments in Paleoenvironmental Research book series. , v. 20, p. 551-585, https://doi.org/10.1007/978-94-024-0990-1_22.","productDescription":"35 p.","startPage":"551","endPage":"585","ipdsId":"IP-017977","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":358397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.869873046875,\n              24.43714786161562\n            ],\n            [\n              -78.9312744140625,\n              24.43714786161562\n            ],\n            [\n              -78.9312744140625,\n              27.259512784361693\n            ],\n            [\n              -82.869873046875,\n              27.259512784361693\n            ],\n            [\n              -82.869873046875,\n              24.43714786161562\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-15","publicationStatus":"PW","scienceBaseUri":"5c10ab02e4b034bf6a7e5f39","contributors":{"editors":[{"text":"Weckstrom, Kaarina","contributorId":209733,"corporation":false,"usgs":false,"family":"Weckstrom","given":"Kaarina","email":"","affiliations":[],"preferred":false,"id":748662,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Saunders, Krystyna M.","contributorId":209734,"corporation":false,"usgs":false,"family":"Saunders","given":"Krystyna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":748663,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Gell, Peter A.","contributorId":66602,"corporation":false,"usgs":true,"family":"Gell","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":748664,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Skilbeck, C. Gregory","contributorId":209735,"corporation":false,"usgs":false,"family":"Skilbeck","given":"C.","email":"","middleInitial":"Gregory","affiliations":[],"preferred":false,"id":748665,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":698150,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202330,"text":"70202330 - 2017 - Vertical distribution of alewife in the Lake Ontario offshore: Implications for resource use","interactions":[],"lastModifiedDate":"2019-02-22T12:49:13","indexId":"70202330","displayToPublicDate":"2017-10-01T12:49:04","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Vertical distribution of alewife in the Lake Ontario offshore: Implications for resource use","docAbstract":"<p><span>Oligotrophication of Lake Ontario has led to increased water clarity and an increased proportion of&nbsp;zooplankton&nbsp;residing in the metalimnion during the day, which may affect the utilization of different depth regions for planktivorous fish. We investigated day and night distributions of fish using&nbsp;hydroacoustics&nbsp;and suspended vertical&nbsp;gillnets&nbsp;during the summer of 2013 when a deep&nbsp;chlorophyll&nbsp;layer (DCL) was established. We related fish distributions to concurrent measures of temperature and prey (zooplankton) density. Alewife dominated in vertical gill net catches, indicating that most&nbsp;acoustic&nbsp;targets were alewife. Alewife schooled during the day in the bottom of the mixed layer, and at dusk alewife schools broke up and fish moved towards the surface. We hypothesize this movement followed migrating zooplankton to allow feeding at night; alewife sampled from vertical gillnets fed on cyclopoid copepods and cladocerans, prey groups that migrate into the&nbsp;epilimnion&nbsp;at night. Some alewife remained at the bottom of the mixed layer at night and these fish ate deep-water calanoid copepods such as&nbsp;</span><i>Limnocalanus</i><span>.&nbsp;Vertical distributions&nbsp;were best predicted by temperature and the interaction between temperature and zooplankton density. We include uplooking&nbsp;acoustics data&nbsp;to complement our downlooking datasets, which provided evidence for potential bias in downlooking acoustic assessments of alewife due to high proportions of alewife found in the surface exclusion zone. Our approach combining several datasets provides a new perspective to understand summer diel distribution of alewife and the factors driving their distribution.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.07.007","usgsCitation":"Riha, M., Walsh, M., Connerton, M., Holden, J., Weidel, B., Sullivan, P.J., Holda, T.J., and Rudstam, L.G., 2017, Vertical distribution of alewife in the Lake Ontario offshore: Implications for resource use: Journal of Great Lakes Research, v. 43, no. 5, p. 823-837, https://doi.org/10.1016/j.jglr.2017.07.007.","productDescription":"15 p.","startPage":"823","endPage":"837","ipdsId":"IP-079963","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469466,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.07.007","text":"Publisher Index Page"},{"id":361464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Ontario ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.98596191406249,\n              43.12905229628564\n            ],\n            [\n              -75.904541015625,\n              43.12905229628564\n            ],\n            [\n              -75.904541015625,\n              44.4377021634654\n            ],\n            [\n              -79.98596191406249,\n              44.4377021634654\n            ],\n            [\n              -79.98596191406249,\n              43.12905229628564\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Riha, Milan","contributorId":213505,"corporation":false,"usgs":false,"family":"Riha","given":"Milan","email":"","affiliations":[{"id":38766,"text":"Institute of Hydrobiology, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":757859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":757858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connerton, Michael J.","contributorId":168904,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[{"id":25383,"text":"NY State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":757860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, Jeremy","contributorId":168905,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":757861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":757862,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Patrick J.","contributorId":213506,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":757863,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holda, Toby J.","contributorId":213507,"corporation":false,"usgs":false,"family":"Holda","given":"Toby","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":757864,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":757865,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70249340,"text":"70249340 - 2017 - How similar are forest disturbance maps derived from different Landsat time series algorithms?","interactions":[],"lastModifiedDate":"2023-10-05T00:18:45.62362","indexId":"70249340","displayToPublicDate":"2017-10-01T12:47:32","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"How similar are forest disturbance maps derived from different Landsat time series algorithms?","docAbstract":"<p><span>Disturbance is a critical ecological process in forested systems, and disturbance maps are important for understanding forest dynamics. Landsat data are a key remote sensing dataset for monitoring forest disturbance and there recently has been major growth in the development of disturbance mapping algorithms. Many of these algorithms take advantage of the high temporal data volume to mine subtle signals in Landsat time series, but as those signals become subtler, they are more likely to be mixed with noise in Landsat data. This study examines the similarity among seven different algorithms in their ability to map the full range of magnitudes of forest disturbance over six different Landsat scenes distributed across the conterminous US. The maps agreed very well in terms of the amount of undisturbed forest over time; however, for the ~30% of forest mapped as disturbed in a given year by at least one algorithm, there was little agreement about which pixels were affected. Algorithms that targeted higher-magnitude disturbances exhibited higher omission errors but lower commission errors than those targeting a broader range of disturbance magnitudes. These results suggest that a user of any given forest disturbance map should understand the map’s strengths and weaknesses (in terms of omission and commission error rates), with respect to the disturbance targets of interest.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f8040098","usgsCitation":"Cohen, W., Healey, S.P., Yang, Z., Stehman, S.V., Brewer, C.K., Brooks, E.B., Gorelick, N., Huang, C., Hughes, M.J., Kennedy, R.E., Loveland, T., Moisen, G.G., Schroeder, T.A., Vogelmann, J., Woodcock, C.E., Yang, L., and Zhu, Z., 2017, How similar are forest disturbance maps derived from different Landsat time series algorithms?: Forests, v. 8, no. 4, 98, 19 p., https://doi.org/10.3390/f8040098.","productDescription":"98, 19 p.","ipdsId":"IP-085817","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":461391,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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States\"}}]}","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Cohen, Warren B.","contributorId":330528,"corporation":false,"usgs":false,"family":"Cohen","given":"Warren B.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":885238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Healey, Sean P.","contributorId":216816,"corporation":false,"usgs":false,"family":"Healey","given":"Sean","email":"","middleInitial":"P.","affiliations":[{"id":39526,"text":"USDA Forest Service, Rocky Mountain Research Station, 507 25th Street, Ogden, UT 84401","active":true,"usgs":false}],"preferred":false,"id":885239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Zhiqiang","contributorId":330529,"corporation":false,"usgs":false,"family":"Yang","given":"Zhiqiang","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":885240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stehman, Stephen V. 0000-0001-5234-2027","orcid":"https://orcid.org/0000-0001-5234-2027","contributorId":216812,"corporation":false,"usgs":false,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[{"id":39524,"text":"College of Environmental Science and Forestry, State University of New York, Syracuse, NY 13210, USA","active":true,"usgs":false}],"preferred":false,"id":885241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brewer, C. Kenneth","contributorId":330530,"corporation":false,"usgs":false,"family":"Brewer","given":"C.","email":"","middleInitial":"Kenneth","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":885242,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooks, Evan B.","contributorId":330531,"corporation":false,"usgs":false,"family":"Brooks","given":"Evan","email":"","middleInitial":"B.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":885243,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gorelick, Noel","contributorId":294417,"corporation":false,"usgs":false,"family":"Gorelick","given":"Noel","affiliations":[{"id":12484,"text":"Google","active":true,"usgs":false}],"preferred":false,"id":885244,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":885245,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hughes, M. Joseph","contributorId":330534,"corporation":false,"usgs":false,"family":"Hughes","given":"M.","email":"","middleInitial":"Joseph","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":885246,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kennedy, Robert E.","contributorId":196025,"corporation":false,"usgs":false,"family":"Kennedy","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":885247,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885248,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moisen, Gretchen G.","contributorId":15781,"corporation":false,"usgs":false,"family":"Moisen","given":"Gretchen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":885249,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schroeder, Todd A. taschroeder@fs.fed.us","contributorId":190802,"corporation":false,"usgs":false,"family":"Schroeder","given":"Todd","email":"taschroeder@fs.fed.us","middleInitial":"A.","affiliations":[],"preferred":false,"id":885250,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885251,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Woodcock, Curtis E.","contributorId":294423,"corporation":false,"usgs":false,"family":"Woodcock","given":"Curtis","email":"","middleInitial":"E.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":885252,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885253,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zhu, Zhe","contributorId":260473,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":885254,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70200587,"text":"70200587 - 2017 - Irrigation as a fuel pump to freshwater ecosystems","interactions":[],"lastModifiedDate":"2018-10-25T11:32:46","indexId":"70200587","displayToPublicDate":"2017-10-01T11:32:39","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Irrigation as a fuel pump to freshwater ecosystems","docAbstract":"<p><span>We generated a detailed time series of total dissolved hydrolyzable amino acids (DHAA) in a watershed dominated by irrigated agriculture in northern California, USA to investigate the roles of hydrologic and seasonal changes on the composition of dissolved organic matter (DOM). DHAA are sensitive indicators of the degradation state and reactivity of DOM. DHAA concentrations ranged from 0.55 to 9.96&nbsp;μM (median 3.51&nbsp;±&nbsp;1.80&nbsp;μM), with expected peaks during high-discharge storms and unexpected high values throughout the low-discharge irrigation season. Overall, summer irrigation was a critical hydrologic regime for DOM cycling since it mobilized DOM similar in concentration and reactivity to DOM released during storms. Together, irrigation and storm flows exported DOM with (1) the largest DHAA contributions to the dissolved organic carbon and the dissolved organic nitrogen pools, (2) the largest proportion of basic amino acids, and (3) the lowest degradation extent based on multiple indices. In this highly disturbed terrestrial system, UV–vis absorbance did not correlate with DHAA concentrations, while classic interpretations of common amino acid indicators (e.g., proportion of basic amino acids, degradation index, percent of non-protein amino acids) were prone to conflicting characterizations of DOM reactivity. Therefore, a new parameter (processing ratio, PR) derived from individual amino acid concentrations was developed that demonstrated a strong potential for mechanistic-driven characterization of the extent of DOM diagenesis in freshwaters. Irrigated agriculture altered stream biogeochemistry by releasing a continuous supply of reactive DOM (lowest PR values), thereby providing an additional energy source to downstream ecosystems.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-017-0381-2","usgsCitation":"Matiasek, S., Pellerin, B., Spencer, R., Bergamaschi, B.A., and Hernes, P.J., 2017, Irrigation as a fuel pump to freshwater ecosystems: Biogeochemistry, v. 136, no. 1, p. 71-90, https://doi.org/10.1007/s10533-017-0381-2.","productDescription":"20 p.","startPage":"71","endPage":"90","ipdsId":"IP-086392","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":358801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Willow Slough watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.25,\n              38.5\n            ],\n            [\n              -121.6667,\n              38.5\n            ],\n            [\n              -121.6667,\n              38.75\n            ],\n            [\n              -122.25,\n              38.75\n            ],\n            [\n              -122.25,\n              38.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"136","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","scienceBaseUri":"5c10ab02e4b034bf6a7e5f3f","contributors":{"authors":[{"text":"Matiasek, Sandrine J. 0000-0003-0272-0354","orcid":"https://orcid.org/0000-0003-0272-0354","contributorId":210031,"corporation":false,"usgs":false,"family":"Matiasek","given":"Sandrine","middleInitial":"J.","affiliations":[{"id":38054,"text":"Department of Geological and Environmental Sciences, California State University Chico, 400 W 1st St, Chico, CA 95929, USA","active":true,"usgs":false}],"preferred":false,"id":749652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":749651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":749653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hernes, Peter J.","contributorId":139730,"corporation":false,"usgs":false,"family":"Hernes","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":749655,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70199826,"text":"70199826 - 2017 - Hydrogeophysical investigations of earthen dams – Two California case studies","interactions":[],"lastModifiedDate":"2018-10-02T11:37:01","indexId":"70199826","displayToPublicDate":"2017-10-01T10:21:10","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5758,"text":"Canadian Society of Exploration Geophysicists Recorder","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeophysical investigations of earthen dams – Two California case studies","docAbstract":"<p><span>Excessive groundwater seepage can be a common engineering concern with earthen dams. The application of geophysical methods, whether for characterization or for long-term monitoring, to help inform mitigation strategies is becoming a more common addition to these investigations. The U.S. Geological Survey (USGS) has completed geophysical investigations at several earthen dams in cooperation with the U.S. Army Corps of Engineers (USACE) to help characterize subsurface hydrogeologic conditions and to identify potential sources of seepage. Summaries of the investigations of Martis Creek Dam and Hidden Dam, both located in California, are presented.</span></p>","language":"English","publisher":"Canadian Society of Exploration Geophysicists","usgsCitation":"Burton, B.L., Bedrosian, P.A., Minsley, B.J., Ikard, S., and Powers, M.H., 2017, Hydrogeophysical investigations of earthen dams – Two California case studies: Canadian Society of Exploration Geophysicists Recorder, v. 42, no. 07, p. 20-27.","productDescription":"8 p.","startPage":"20","endPage":"27","ipdsId":"IP-091498","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":357954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357941,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://csegrecorder.com/articles/view/hydrogeophysical-investigations-of-earthen-dams-two-california-case-studies"}],"country":"United States","state":"California","otherGeospatial":"Martis Creek Dam, Hidden Dam","volume":"42","issue":"07","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc030e0e4b0fc368eb53a15","contributors":{"authors":[{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":138925,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany","email":"blburton@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":746833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":746813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":746814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ikard, Scott 0000-0002-8304-4935 sikard@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":171751,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","email":"sikard@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powers, Michael H. 0000-0002-4480-7856 mhpowers@usgs.gov","orcid":"https://orcid.org/0000-0002-4480-7856","contributorId":851,"corporation":false,"usgs":true,"family":"Powers","given":"Michael","email":"mhpowers@usgs.gov","middleInitial":"H.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":746835,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191365,"text":"70191365 - 2017 - Geothermal implications of a refined composition-age geologic map for the volcanic terrains of southeast Oregon, northeast California, and southwest Idaho, USA","interactions":[],"lastModifiedDate":"2017-10-16T14:49:49","indexId":"70191365","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geothermal implications of a refined composition-age geologic map for the volcanic terrains of southeast Oregon, northeast California, and southwest Idaho, USA","docAbstract":"Sufficient temperatures to generate steam likely exist under most of the dominantly volcanic terrains of southeast Oregon, northeast California, and southeast Idaho, USA, but finding sufficient permeability to allow efficient advective heat exchange is an outstanding challenge. A new thematic interpretation of existing state-level geologic maps provides an updated and refined distribution of the composition and age of geologic units for the purposes of assessing the implications for measurement and development of geothermal resources. This interpretation has been developed to better understand geothermal and hydrologic resources of the region. Comparison of the new geologic categories with available hydrologic data shows that younger volcanogenic terrains tend to have higher primary permeability than older terrains. Decrease in primary permeability with age is attributable to weathering and hydrothermal alteration of volcanogenic deposits to pore-filling clays and deposition of secondary deposits (e.g., zeolites). Spring density as a function of geology and precipitation can be used to infer groundwater flow path length within the upper aquifers. Beneath the upper aquifers, we postulate that, due to accelerated hydrothermal alteration at temperatures ~>30 °C, primary permeability at depths of geothermal interest will be limited, and that secondary permeability is a more viable target for hydrothermal fluid withdrawal. Because open fractures resulting from tensile stresses will affect all geologic layers, regions with a significant amount of groundwater flow through shallow, structurally controlled secondary permeability may overlay zones of deep secondary permeability. Regardless of whether the shallow permeability is connected with the deep permeability, shallow groundwater flow can mask the presence of deep hydrothermal flow, resulting in blind geothermal systems. Ideally, hydraulic connectivity between shallow and deep secondary permeability is limited, so that shallow groundwater does not cool potential geothermal reservoirs.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geothermal Resources Transactions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Burns, E.R., Gannett, M.W., Sherrod, D.R., Keith, M.K., Curtis, J.A., Bartolino, J.R., Engott, J.A., Scandella, B.P., Stern, M.A., and Flint, A.L., 2017, Geothermal implications of a refined composition-age geologic map for the volcanic terrains of southeast Oregon, northeast California, and southwest Idaho, USA, <i>in</i> Geothermal Resources Transactions, v. 41.","ipdsId":"IP-086602","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":346637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346456,"type":{"id":15,"text":"Index Page"},"url":"https://geothermal.org/transactions.html"}],"volume":"41","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9de","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":712099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Mackenzie K. 0000-0002-7239-0576 mkeith@usgs.gov","orcid":"https://orcid.org/0000-0002-7239-0576","contributorId":196963,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie","email":"mkeith@usgs.gov","middleInitial":"K.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712100,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curtis, Jennifer A. 0000-0001-7766-994X jacurtis@usgs.gov","orcid":"https://orcid.org/0000-0001-7766-994X","contributorId":927,"corporation":false,"usgs":true,"family":"Curtis","given":"Jennifer","email":"jacurtis@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712101,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712102,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712103,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scandella, Benjamin P.","contributorId":169274,"corporation":false,"usgs":false,"family":"Scandella","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":712104,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712105,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":712106,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70191356,"text":"70191356 - 2017 - The lethality of hot water and ozone to aquatic invasive species","interactions":[],"lastModifiedDate":"2017-10-16T14:50:45","indexId":"70191356","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":21,"text":"Thesis"},"publicationSubtype":{"id":28,"text":"Thesis"},"title":"The lethality of hot water and ozone to aquatic invasive species","docAbstract":"The spread of Aquatic Invasive Species (AIS) between the Great Lakes and Mississippi River Basin by way of the Chicago Area Waterway System (CAWS) is a pressing concern to resource managers in the Midwest region. Augmenting this spread are watercrafts traveling through the CAWS locks and dams. AIS are able to attach to boat hulls, equipment, or are present in the surrounding water during lock transfers. It has been proposed that chemically treating boats during lock transfers would be an effective way to reduce the spread of AIS. Of a range of treatments identified as candidates to do this, hot water and dissolved ozone ranked high as effective treatments causing the least amount of environmental impact. This study assessed the lethality of hot water and dissolved ozone, separately and in combination, on select AIS in a laboratory setting. Species were exposed to water temperatures ranging from 18 to 50°C, ozone concentrations ranging from 0 to 920 ORP (Oxidation-Reduction Potential), and exposure durations ranging from 10 to 60 min to find treatments capable of inducing 100% mortality. Results indicated that water at 45°C achieved 100% mortality in all species tested with a 10 min exposure. Ozone concentrations induced significant mortality to all species tested, particularly when combined with elevated temperatures.","language":"English","publisher":"University of Wisconsin-La Crosse","usgsCitation":"Buley, R., 2017, The lethality of hot water and ozone to aquatic invasive species, 40 p.","productDescription":"40 p.","ipdsId":"IP-085735","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":346638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9e0","contributors":{"authors":[{"text":"Buley, Riley 0000-0003-0721-3933 rbuley@usgs.gov","orcid":"https://orcid.org/0000-0003-0721-3933","contributorId":196956,"corporation":false,"usgs":true,"family":"Buley","given":"Riley","email":"rbuley@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712071,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70191351,"text":"70191351 - 2017 - Evaluating spatial and temporal relationships between an earthquake cluster near Entiat, central Washington, and the large December 1872 Entiat earthquake","interactions":[],"lastModifiedDate":"2017-12-19T16:50:38","indexId":"70191351","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating spatial and temporal relationships between an earthquake cluster near Entiat, central Washington, and the large December 1872 Entiat earthquake","docAbstract":"<p><span>We investigate spatial and temporal relations between an ongoing and prolific seismicity cluster in central Washington, near Entiat, and the 14 December 1872 Entiat earthquake, the largest historic crustal earthquake in Washington. A fault scarp produced by the 1872 earthquake lies within the Entiat cluster; the locations and areas of both the cluster and the estimated 1872 rupture surface are comparable. Seismic intensities and the 1–2&nbsp;m of coseismic displacement suggest a magnitude range between 6.5 and 7.0 for the 1872 earthquake. Aftershock forecast models for (1)&nbsp;the first several hours following the 1872 earthquake, (2)&nbsp;the largest felt earthquakes from 1900 to 1974, and (3)&nbsp;the seismicity within the Entiat cluster from 1976 through 2016 are also consistent with this magnitude range. Based on this aftershock modeling, most of the current seismicity in the Entiat cluster could represent aftershocks of the 1872 earthquake. Other earthquakes, especially those with long recurrence intervals, have long‐lived aftershock sequences, including the&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span><span><span id=\"MathJax-Span-4\" class=\"mi\">M</span></span><span><span id=\"MathJax-Span-5\" class=\"mi\">w</span></span></span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;7.5 1891 Nobi earthquake in Japan, with aftershocks continuing 100 yrs after the mainshock. Although we do not rule out ongoing tectonic deformation in this region, a long‐lived aftershock sequence can account for these observations.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170113","usgsCitation":"Brocher, T.M., Blakely, R.J., and Sherrod, B.L., 2017, Evaluating spatial and temporal relationships between an earthquake cluster near Entiat, central Washington, and the large December 1872 Entiat earthquake: Bulletin of the Seismological Society of America, v. 107, no. 5, p. 2380-2393, https://doi.org/10.1785/0120170113.","productDescription":"14 p.","startPage":"2380","endPage":"2393","ipdsId":"IP-085412","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.5,\n              47.5\n            ],\n            [\n              -119.75,\n              47.5\n            ],\n            [\n              -119.75,\n              48\n            ],\n            [\n              -120.5,\n              48\n            ],\n            [\n              -120.5,\n              47.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"59d7449de4b05fe04cc7e301","contributors":{"authors":[{"text":"Brocher, Thomas M. 0000-0002-9740-839X brocher@usgs.gov","orcid":"https://orcid.org/0000-0002-9740-839X","contributorId":262,"corporation":false,"usgs":true,"family":"Brocher","given":"Thomas","email":"brocher@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":712040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":712041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":712042,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191279,"text":"70191279 - 2017 - New insight into the origin of manganese oxide ore deposits in the Appalachian Valley and Ridge of northeastern Tennessee and northern Virginia, USA","interactions":[],"lastModifiedDate":"2017-10-03T12:35:01","indexId":"70191279","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"New insight into the origin of manganese oxide ore deposits in the Appalachian Valley and Ridge of northeastern Tennessee and northern Virginia, USA","docAbstract":"<p><span>Manganese oxide deposits have long been observed in association with carbonates within the Appalachian Mountains, but their origin has remained enigmatic for well over a century. Ore deposits of Mn oxides from several productive sites located in eastern Tennessee and northern Virginia display morphologies that include botryoidal and branching forms, massive nodules, breccia matrix cements, and fracture fills. The primary ore minerals include hollandite, cryptomelane, and romanèchite. Samples of Mn oxides from multiple localities in these regions were analyzed using electron microscopy, X-ray analysis, Fourier transform infrared spectroscopy, and trace and rare earth element (REE) geochemistry. The samples from eastern Tennessee have biological morphologies, contain residual biopolymers, and exhibit REE signatures that suggest the ore formation was due to supergene enrichment (likely coupled with microbial activity). In contrast, several northern Virginia ores hosted within quartz-sandstone breccias exhibit petrographic relations, mineral morphologies, and REE signatures indicating inorganic precipitation, and a likely hydrothermal origin with supergene overprinting. Nodular accumulations of Mn oxides within weathered alluvial deposits that occur close to breccia-hosted Mn deposits in Virginia show geochemical signatures that are distinct from the breccia matrices and appear to reflect remobilization of earlier-emplaced Mn and concentration within supergene traps. Based on the proximity of all of the productive ore deposits to mapped faults or other zones of deformation, we suggest that the primary source of all of the Mn may have been deep seated, and that Mn oxides with supergene and/or biological characteristics resulted from the local remobilization and concentration of this primary Mn.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31682.1","usgsCitation":"Carmichael, S.K., Doctor, D.H., Wilson, C.G., Feierstein, J., and McAleer, R., 2017, New insight into the origin of manganese oxide ore deposits in the Appalachian Valley and Ridge of northeastern Tennessee and northern Virginia, USA: GSA Bulletin, v. 129, no. 9-10, p. 1158-1180, https://doi.org/10.1130/B31682.1.","productDescription":"23 p.","startPage":"1158","endPage":"1180","ipdsId":"IP-080760","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":469486,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":346349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","volume":"129","issue":"9-10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"59d4a1a4e4b05fe04cc4e0e5","contributors":{"authors":[{"text":"Carmichael, Sarah K. 0000-0002-3144-8225","orcid":"https://orcid.org/0000-0002-3144-8225","contributorId":196874,"corporation":false,"usgs":false,"family":"Carmichael","given":"Sarah","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":711837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":711836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Crystal G.","contributorId":196875,"corporation":false,"usgs":false,"family":"Wilson","given":"Crystal","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":711838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feierstein, Joshua","contributorId":196876,"corporation":false,"usgs":false,"family":"Feierstein","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":711839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":711840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192134,"text":"70192134 - 2017 - Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios","interactions":[],"lastModifiedDate":"2017-10-23T14:40:19","indexId":"70192134","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios","docAbstract":"<p><span>We examine the impacts of climate on net returns from crop and livestock production and the resulting impact on land-use change across the contiguous USA. We first estimate an econometric model to project effects of weather fluctuations on crop and livestock net returns and then use a semi-reduced form land-use share model to study agricultural land-use changes under future climate and socio-economic scenarios. Estimation results show that crop net returns are more sensitive to thermal and less sensitive to moisture variability than livestock net returns; other agricultural land uses substitute cropland use when 30-year averaged degree-days or precipitation are not beneficial for crop production. Under future climate and socio-economic scenarios, we project that crop and livestock net returns are both increasing, but with crop net returns increasing at a higher rate; cropland increases with declines of marginal and pastureland by the end of the twenty-first century. Projections also show that impacts of future climate on agricultural land uses are substantially different and a larger variation of land-use change is evident when socio-economic scenarios are incorporated into the climate impact analysis.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-017-2033-x","usgsCitation":"Mu, J.E., Sleeter, B.M., Abatzoglou, J.T., and Antle, J.M., 2017, Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios: Climatic Change, v. 144, no. 2, p. 329-345, https://doi.org/10.1007/s10584-017-2033-x.","productDescription":"17 p.","startPage":"329","endPage":"345","ipdsId":"IP-088868","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-017-2033-x","text":"Publisher Index 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 \"}}]}\n\n\n","volume":"144","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-09","publicationStatus":"PW","scienceBaseUri":"59eeffa4e4b0220bbd988f6d","contributors":{"authors":[{"text":"Mu, Jianhong E.","contributorId":75840,"corporation":false,"usgs":true,"family":"Mu","given":"Jianhong","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":714357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abatzoglou, John T.","contributorId":191729,"corporation":false,"usgs":false,"family":"Abatzoglou","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":714359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antle, John M.","contributorId":197804,"corporation":false,"usgs":false,"family":"Antle","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714360,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191913,"text":"70191913 - 2017 - Challenges and solutions for applying the travel cost demand model to geographically remote visitor destinations: A case study of bear viewing at Katmai National Park and Preserve","interactions":[],"lastModifiedDate":"2017-10-19T13:08:10","indexId":"70191913","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Challenges and solutions for applying the travel cost demand model to geographically remote visitor destinations: A case study of bear viewing at Katmai National Park and Preserve","docAbstract":"<p><span>Remote and unique destinations present difficulties when attempting to construct traditional travel cost models to value recreation demand. The biggest limitation comes from the lack of variation in the dependent variable, defined as the number of trips taken over a set time frame. There are various approaches that can be used for overcoming limitations of the traditional travel cost model in the context of remote destinations. This study applies an adaptation of the standard model to estimate recreation benefits of bear viewing at Katmai National Park and Preserve in Alaska, which represents a once-in-a-lifetime experience for many visitors. Results demonstrate that visitors to this park’s Brooks Camp area are willing to pay an average of US$287 per day of bear viewing. Implications of these findings for valuing recreation at other remote destinations are discussed.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2017.1369196","usgsCitation":"Richardson, L., Huber, C., and Loomis, J.B., 2017, Challenges and solutions for applying the travel cost demand model to geographically remote visitor destinations: A case study of bear viewing at Katmai National Park and Preserve: Human Dimensions of Wildlife, v. 22, no. 6, p. 550-563, https://doi.org/10.1080/10871209.2017.1369196.","productDescription":"14 p.","startPage":"550","endPage":"563","ipdsId":"IP-078280","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Katmai National Park and Preserve","volume":"22","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-15","publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c60","contributors":{"authors":[{"text":"Richardson, Leslie","contributorId":197525,"corporation":false,"usgs":false,"family":"Richardson","given":"Leslie","affiliations":[],"preferred":false,"id":713669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huber, Christopher 0000-0001-8446-8134 chuber@usgs.gov","orcid":"https://orcid.org/0000-0001-8446-8134","contributorId":127600,"corporation":false,"usgs":true,"family":"Huber","given":"Christopher","email":"chuber@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loomis, John B.","contributorId":197268,"corporation":false,"usgs":false,"family":"Loomis","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":713670,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193030,"text":"70193030 - 2017 - Prey partitioning and use of insects by juvenile sockeye salmon and a potential competitor, threespine stickleback, in Afognak Lake, Alaska","interactions":[],"lastModifiedDate":"2017-11-07T11:18:10","indexId":"70193030","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Prey partitioning and use of insects by juvenile sockeye salmon and a potential competitor, threespine stickleback, in Afognak Lake, Alaska","docAbstract":"<p><span>Freshwater growth of juvenile sockeye salmon (</span><i>Oncorhynchus nerka</i><span>) depends upon the quality and quantity of prey and interactions with potential competitors in the foraging environment. To a large extent, knowledge about the ecology of lake-rearing juvenile sockeye salmon has emerged from studies of commercially important runs returning to deep nursery lakes, yet information from shallow nursery lakes (mean depth&nbsp;≤&nbsp;10&nbsp;m) is limited. We examined seasonal and ontogenetic variation in diets of juvenile sockeye salmon (</span><i>N</i><span>&nbsp;=&nbsp;219, 30–85&nbsp;mm) and an abundant potential competitor, threespine stickleback (</span><i>Gasterosteus aculeatus</i><span>;</span><i><span>&nbsp;</span>N</i><span>&nbsp;=&nbsp;198, 42–67&nbsp;mm), to understand their foraging ecology and potential trophic interactions in a shallow Alaska lake. This study revealed that adult insects made up 74% of all sockeye salmon diets by weight and were present in 98% of all stomachs in Afognak Lake during the summer of 2013. Diets varied temporally for all fishes, but small sockeye salmon (&lt;60&nbsp;mm) showed a distinct shift in consumption from zooplankton in early summer to adult insects in late summer. We found significant differences in diet composition between sockeye salmon and threespine stickleback and the origin of their prey indicated that they also separated their use of habitat on a fine scale; however, the two species showed overlap in size selectivity of zooplankton prey. Considering that aquatic insects can be a primary resource for juvenile sockeye salmon in Afognak Lake, we encourage the development of nursery lake carrying capacity models that include aquatic insects as a prey source for sockeye salmon.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12302","usgsCitation":"Richardson, N., Beaudreau, A.H., Wipfli, M.S., and Finkle, H., 2017, Prey partitioning and use of insects by juvenile sockeye salmon and a potential competitor, threespine stickleback, in Afognak Lake, Alaska: Ecology of Freshwater Fish, v. 26, no. 4, p. 586-601, https://doi.org/10.1111/eff.12302.","productDescription":"16 p.","startPage":"586","endPage":"601","ipdsId":"IP-077021","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Afognak Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.9894256591797,\n              58.08677049395305\n            ],\n            [\n              -152.85261154174805,\n              58.08677049395305\n            ],\n            [\n              -152.85261154174805,\n              58.13682719052186\n            ],\n            [\n              -152.9894256591797,\n              58.13682719052186\n            ],\n            [\n              -152.9894256591797,\n              58.08677049395305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-25","publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb6e","contributors":{"authors":[{"text":"Richardson, Natura","contributorId":198967,"corporation":false,"usgs":false,"family":"Richardson","given":"Natura","email":"","affiliations":[],"preferred":false,"id":717710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaudreau, Anne H.","contributorId":198968,"corporation":false,"usgs":false,"family":"Beaudreau","given":"Anne","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":717711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finkle, Heather","contributorId":198969,"corporation":false,"usgs":false,"family":"Finkle","given":"Heather","email":"","affiliations":[],"preferred":false,"id":717712,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192823,"text":"70192823 - 2017 - Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway","interactions":[],"lastModifiedDate":"2017-11-10T10:13:25","indexId":"70192823","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5203,"text":"Emerging Microbes & Infections","active":true,"publicationSubtype":{"id":10}},"title":"Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway","docAbstract":"<p><span>We used surveillance data collected in California before, concurrent with, and subsequent to an outbreak of highly pathogenic (HP) clade 2.3.4.4 influenza A viruses (IAVs) in 2014–2015 to (i) evaluate IAV prevalence in waterfowl, (ii) assess the evidence for spill-over infections in marine mammals and (iii) genetically characterize low-pathogenic (LP) and HP IAVs to refine inference on the spatiotemporal extent of HP genome constellations and to evaluate possible evolutionary pathways. We screened samples from 1496 waterfowl and 1142 marine mammals collected from April 2014 to August 2015 and detected IAV RNA in 159 samples collected from birds (</span><i>n</i><span class=\"mb\">=</span><span>157) and pinnipeds (</span><i>n</i><span class=\"mb\">=</span><span>2). HP IAV RNA was identified in three samples originating from American wigeon (</span><i>Anas americana</i><span>). Genetic sequence data were generated for a clade 2.3.4.4 HP IAV-positive diagnostic sample and 57 LP IAV isolates. Phylogenetic analyses revealed that the HP IAV was a reassortant H5N8 virus with gene segments closely related to LP IAVs detected in mallards (</span><i>Anas platyrhynchos</i><span>) sampled in California and other IAVs detected in wild birds sampled within the Pacific Americas Flyway. In addition, our analysis provided support for common ancestry between LP IAVs recovered from waterfowl sampled in California and gene segments of reassortant HP H5N1 IAVs detected in British Columbia, Canada and Washington, USA. Our investigation provides evidence that waterfowl are likely to have played a role in the evolution of reassortant HP IAVs in the Pacific Americas Flyway during 2014–2015, whereas we did not find support for spill-over infections in potential pinniped hosts.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/emi.2017.66","usgsCitation":"Ramey, A.M., Hill, N.J., Cline, T., Plancarte, M., De La Cruz, S., Casazza, M.L., Ackerman, J., Fleskes, J.P., Vickers, T.W., Reeves, A.B., Gulland, F., Fontaine, C., Prosser, D.J., Runstadler, J., and Boyce, W.M., 2017, Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway: Emerging Microbes & Infections, v. 6, p. 1-10, https://doi.org/10.1038/emi.2017.66.","productDescription":"e80; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-086106","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":482057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/emi.2017.66","text":"Publisher Index Page"},{"id":348062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-15","publicationStatus":"PW","scienceBaseUri":"59fadd20e4b0531197b13c7b","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cline, Troy","contributorId":198753,"corporation":false,"usgs":false,"family":"Cline","given":"Troy","affiliations":[],"preferred":false,"id":717068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plancarte, Magdalena","contributorId":198754,"corporation":false,"usgs":false,"family":"Plancarte","given":"Magdalena","email":"","affiliations":[],"preferred":false,"id":717069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan sdelacruz@usgs.gov","contributorId":131159,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":717072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717073,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vickers, T. 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,{"id":70193413,"text":"70193413 - 2017 - Are exposure predictions, used for the prioritization of pharmaceuticals in the environment, fit for purpose?","interactions":[],"lastModifiedDate":"2017-11-20T13:35:31","indexId":"70193413","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Are exposure predictions, used for the prioritization of pharmaceuticals in the environment, fit for purpose?","docAbstract":"<p><span>Prioritization methodologies are often used for identifying those pharmaceuticals that pose the greatest risk to the natural environment and to focus laboratory testing or environmental monitoring toward pharmaceuticals of greatest concern. Risk-based prioritization approaches, employing models to derive exposure concentrations, are commonly used, but the reliability of these models is unclear. The present study evaluated the accuracy of exposure models commonly used for pharmaceutical prioritization. Targeted monitoring was conducted for 95 pharmaceuticals in the Rivers Foss and Ouse in the City of York (UK). Predicted environmental concentration (PEC) ranges were estimated based on localized prescription, hydrological data, reported metabolism, and wastewater treatment plant (WWTP) removal rates, and were compared with measured environmental concentrations (MECs). For the River Foss, PECs, obtained using highest metabolism and lowest WWTP removal, were similar to MECs. In contrast, this trend was not observed for the River Ouse, possibly because of pharmaceutical inputs unaccounted for by our modeling. Pharmaceuticals were ranked by risk based on either MECs or PECs. With 2 exceptions (dextromethorphan and diphenhydramine), risk ranking based on both MECs and PECs produced similar results in the River Foss. Overall, these findings indicate that PECs may well be appropriate for prioritization of pharmaceuticals in the environment when robust and local data on the system of interest are available and reflective of most source inputs.&nbsp;</span></p>","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3842","usgsCitation":"Burns, E.E., Thomas-Oates, J., Kolpin, D.W., Furlong, E.T., and Boxall, A.B., 2017, Are exposure predictions, used for the prioritization of pharmaceuticals in the environment, fit for purpose?: Environmental Toxicology and Chemistry, v. 36, no. 10, p. 2823-2832, https://doi.org/10.1002/etc.3842.","productDescription":"10 p.","startPage":"2823","endPage":"2832","ipdsId":"IP-084959","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":469564,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://orcid.org/0000-0003-4236-6409>,","text":"External Repository"},{"id":349138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Kingdom","city":"City of York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -1.1940765380859375,\n              53.911619008118656\n            ],\n            [\n              -0.9976959228515625,\n              53.911619008118656\n            ],\n            [\n              -0.9976959228515625,\n              54.05374516606874\n            ],\n            [\n              -1.1940765380859375,\n              54.05374516606874\n            ],\n            [\n              -1.1940765380859375,\n              53.911619008118656\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-06","publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22e91","contributors":{"authors":[{"text":"Burns, Emily E.","contributorId":199400,"corporation":false,"usgs":false,"family":"Burns","given":"Emily","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":718961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas-Oates, Jane","contributorId":195997,"corporation":false,"usgs":false,"family":"Thomas-Oates","given":"Jane","email":"","affiliations":[],"preferred":false,"id":718962,"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":718959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":718960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boxall, Alistair B.A.","contributorId":187614,"corporation":false,"usgs":false,"family":"Boxall","given":"Alistair","email":"","middleInitial":"B.A.","affiliations":[],"preferred":false,"id":718963,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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