{"pageNumber":"847","pageRowStart":"21150","pageSize":"25","recordCount":184617,"records":[{"id":70200764,"text":"70200764 - 2018 - Southeastern Deserts Bioregion","interactions":[],"lastModifiedDate":"2018-10-31T10:30:55","indexId":"70200764","displayToPublicDate":"2018-06-30T10:30:33","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"18","title":"Southeastern Deserts Bioregion","docAbstract":"The Southeast Deserts Bioregion (desert bioregion) occupies the southeastern 27% of California (11,028,300 ha, 110,283 km2 or 27,251,610 ac) (Miles and Goudy 1997) (Map 18.1). The desert bioregion is within the basin and range geomorphic province of western North America, and includes two ecoregional provinces comprised of five ecological sections. The American Semi-Desert and Desert Province (warm deserts) includes the Mojave Desert, Sonoran Desert, and Colorado Desert sections in the southern 83% of the desert bioregion. The Intermountain Semi-Desert Province (cold deserts) includes the Southeastern Great Basin and Mono sections in the northern 17% of the desert bioregion. [Map 18.1] The desert bioregion is characterized by isolated mountain ranges with steep slopes separated by broad basins containing alluvial fans, lava flows, dunes, and playas. Elevations range from -86 m (-282 ft) below sea level in Death Valley, to 4,342 m (14,246 ft) above sea level in the White Mountains. Soil taxa range widely from hyperthermic or thermic, aridic Aridisols and Entisols in the Colorado, Sonoran, and Mojave Desert sections, to thermic, mesic, frigid, or cryic, aridic, xeric, or aquic Alfisols, Aridisols, Entisols, Inceptisols, Mollisols, and Vertisols in the Mono and Southeastern Great Basin sections (Miles and Goudy 1997). This wide range in geomorphology and soil conditions translates into variable vegetation and fuel types, which include arid shrublands and semi-arid shrublands, grasslands, woodlands, and forests.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fire in California's Ecosystems","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","isbn":"9780520286832","usgsCitation":"Brooks, M.L., Minnich, R.A., and Matchett, J.R., 2018, Southeastern Deserts Bioregion, chap. 18 <i>of</i> Fire in California's Ecosystems.","startPage":"353","ipdsId":"IP-072818","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":359014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":359000,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book/9780520286832/fire-in-californias-ecosystems#"}],"country":"United States","state":"California","edition":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a985e4b034bf6a7e5270","contributors":{"editors":[{"text":"Van Wagtendonk, Jan W. jan_van_wagtendonk@usgs.gov","contributorId":2648,"corporation":false,"usgs":true,"family":"Van Wagtendonk","given":"Jan","email":"jan_van_wagtendonk@usgs.gov","middleInitial":"W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750442,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Sugihara, Neil G.","contributorId":210312,"corporation":false,"usgs":false,"family":"Sugihara","given":"Neil","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":750443,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Stephens, Scott L.","contributorId":46022,"corporation":false,"usgs":false,"family":"Stephens","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":750444,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Thode, Andrea E.","contributorId":189574,"corporation":false,"usgs":false,"family":"Thode","given":"Andrea","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":750445,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Shaffer, Kevin E.","contributorId":210314,"corporation":false,"usgs":false,"family":"Shaffer","given":"Kevin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":750446,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Fites-Kaufman, Ann","contributorId":210315,"corporation":false,"usgs":false,"family":"Fites-Kaufman","given":"Ann","email":"","affiliations":[],"preferred":false,"id":750447,"contributorType":{"id":2,"text":"Editors"},"rank":6}],"authors":[{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minnich, Richard A.","contributorId":37759,"corporation":false,"usgs":false,"family":"Minnich","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":7004,"text":"Department of Earth Sciences, University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":750426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matchett, John R. 0000-0002-2905-6468 jmatchett@usgs.gov","orcid":"https://orcid.org/0000-0002-2905-6468","contributorId":1669,"corporation":false,"usgs":true,"family":"Matchett","given":"John","email":"jmatchett@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750427,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205969,"text":"70205969 - 2018 - A multiscale natural community and species-level vulnerability assessment of the Gulf Coast, USA","interactions":[],"lastModifiedDate":"2019-10-11T17:30:54","indexId":"70205969","displayToPublicDate":"2018-06-29T17:22:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A multiscale natural community and species-level vulnerability assessment of the Gulf Coast, USA","docAbstract":"<p><span>Vulnerability assessments combine quantitative and qualitative evaluations of the exposure, sensitivity, and adaptive capacity of species or natural communities to current and future threats. When combined with the economic, ecological or evolutionary value of the species, vulnerability assessments quantify the relative risk to regional species and natural communities and can enable informed prioritization of conservation efforts. Vulnerability assessments are common practice in conservation biology, including the potential impacts of future climate scenarios. However, geographic variation in scenarios and vulnerabilities is rarely quantified. This gap is particularly limiting for informing ecosystem management given that conservation practices typically vary by sociopolitical boundaries rather than by ecological boundaries. To support prioritization of conservation actions across a range of spatial scales, we conducted the Gulf Coast Vulnerability Assessment (GCVA) for four natural communities and eleven focal species around the Gulf of Mexico based on current and future threats from climate change and land-use practices out to 2060. We used the Standardized Index of Vulnerability and Value (SIVVA) tool to assess both natural community and species vulnerabilities. We observed greater variation across ecologically delineated subregions within the Gulf Coast of the U.S. than across climate scenarios. This novel finding suggests that future vulnerability assessments incorporate regional variation and that conservation prioritization may vary across ecological subregions. Across subregions and climate scenarios the most prominent threats were legacy effects, primarily from habitat loss and degradation, that compromised the adaptive capacity of species and natural communities. The second most important threats were future threats from sea-level rise. Our results suggest that the substantial threats species and natural communities face from climate change and sea-level rise would be within their adaptive capacity were it not for historic habitat loss, fragmentation, and degradation.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0199844","usgsCitation":"Reece, J.S., Watson, A., Dalyander, P., Edwards, C., Geselbracht, L., LaPeyre, M.K., Tirpak, B., Tirpak, J., and Woodrey, M., 2018, A multiscale natural community and species-level vulnerability assessment of the Gulf Coast, USA: PLoS ONE, v. 13, no. 6, e0199844, 23 p., https://doi.org/10.1371/journal.pone.0199844.","productDescription":"e0199844, 23 p.","ipdsId":"IP-089364","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":460881,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0199844","text":"Publisher Index Page"},{"id":368287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.86962890625,\n              30.44867367928756\n            ],\n            [\n              -91.60400390625,\n              31.16580958786196\n            ],\n            [\n              -95.0537109375,\n              30.391830328088137\n            ],\n            [\n              -98.28369140625,\n              28.188243641850313\n            ],\n            [\n              -99.052734375,\n              26.62781822639305\n            ],\n            [\n              -97.2509765625,\n              25.93828707492375\n            ],\n            [\n              -97.03125,\n              25.878994400196202\n            ],\n            [\n              -97.0751953125,\n              27.566721430409707\n            ],\n            [\n              -94.10888671875,\n              29.477861195816843\n            ],\n            [\n              -92.1533203125,\n              29.286398892934763\n            ],\n            [\n              -89.9560546875,\n              28.825425374477224\n            ],\n            [\n              -88.9453125,\n              28.825425374477224\n            ],\n            [\n              -88.154296875,\n              30.012030680358613\n            ],\n            [\n              -86.33056640625,\n              30.06909396443887\n            ],\n            [\n              -85.31982421875,\n              29.458731185355344\n            ],\n            [\n              -84.08935546875,\n              29.82158272057499\n            ],\n            [\n              -83.03466796874999,\n              28.57487404744697\n            ],\n            [\n              -83.1005859375,\n              27.31321389856826\n            ],\n            [\n              -82.2216796875,\n              26.03704188651584\n            ],\n            [\n              -81.38671875,\n              25.145284610685064\n            ],\n            [\n              -82.02392578125,\n              24.56710835257599\n            ],\n            [\n              -81.10107421874999,\n              24.186847428521244\n            ],\n            [\n              -79.6728515625,\n              25.403584973186703\n            ],\n            [\n              -80.2880859375,\n              25.93828707492375\n            ],\n            [\n              -80.96923828125,\n              26.05678288577881\n            ],\n            [\n              -80.74951171875,\n              26.37218544169559\n            ],\n            [\n              -82.41943359375,\n              29.649868677972304\n            ],\n            [\n              -83.1884765625,\n              30.44867367928756\n            ],\n            [\n              -83.86962890625,\n              30.44867367928756\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"6","noUsgsAuthors":false,"publicationDate":"2018-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Reece, Joshua S.","contributorId":84654,"corporation":false,"usgs":true,"family":"Reece","given":"Joshua","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":773107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watson, Amanda","contributorId":149887,"corporation":false,"usgs":false,"family":"Watson","given":"Amanda","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":773108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, Patricia (Soupy) 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":191931,"corporation":false,"usgs":true,"family":"Dalyander","given":"Patricia (Soupy)","email":"sdalyander@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":773109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, C.","contributorId":80335,"corporation":false,"usgs":true,"family":"Edwards","given":"C.","affiliations":[],"preferred":false,"id":773110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geselbracht, Laura","contributorId":149889,"corporation":false,"usgs":false,"family":"Geselbracht","given":"Laura","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":773111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":773112,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tirpak, Blair 0000-0002-2679-8378 btirpak@usgs.gov","orcid":"https://orcid.org/0000-0002-2679-8378","contributorId":149886,"corporation":false,"usgs":true,"family":"Tirpak","given":"Blair","email":"btirpak@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":773113,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tirpak, John M.","contributorId":197496,"corporation":false,"usgs":false,"family":"Tirpak","given":"John M.","affiliations":[],"preferred":false,"id":773114,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Woodrey, Mark","contributorId":149890,"corporation":false,"usgs":false,"family":"Woodrey","given":"Mark","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":773115,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70211513,"text":"70211513 - 2018 - River response to large‐dam removal in a Mediterranean hydroclimatic setting: Carmel River, California, USA","interactions":[],"lastModifiedDate":"2020-07-29T15:37:49.911878","indexId":"70211513","displayToPublicDate":"2018-06-29T10:30:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"River response to large‐dam removal in a Mediterranean hydroclimatic setting: Carmel River, California, USA","docAbstract":"Dam removal provides a valuable opportunity to measure the fluvial response to changes in both sediment supply and the processes that shape channel morphology. We present the first study of river response to the removal of a large (32‐m‐high) dam in a Mediterranean hydroclimatic setting, on the Carmel River, coastal California, USA. This before‐after/control‐impact study measured changes in channel topography, grain size, and salmonid spawning habitat throughout dam removal and subsequent major floods. During dam removal, the river course was rerouted in order to leave most of the impounded sediment sequestered in the former reservoir and thus prevent major channel and floodplain aggradation downstream. However, a substantial sediment pulse occurred in response to base‐level fall, knickpoint migration, and channel avulsion through sediment in the former reservoir above the newly rerouted channel. The sediment pulse advanced ~3.5 km in the first wet season after dam removal, resulting in decreased riverbed grain size downstream of the dam site. In the second wet season after dam removal, high flows (including a 30‐year flood and two 10‐year floods) transported sediment >30 km downstream, filling pools and reducing cross‐channel relief. Deposition of gravel in the second wet season after dam removal enhanced salmonid spawning habitat downstream of the dam site. We infer that in dam removals where most reservoir sediment remains impounded and where high flows follow soon after dam removal, flow sequencing becomes a more important driver of geomorphic and fish‐habitat change than the dam removal alone.","language":"English","publisher":"Wiley","doi":"10.1002/esp.4464","usgsCitation":"Harrison, L.R., East, A.E., Smith, D.P., Logan, J.B., Bond, R., Nicol, C.L., Williams, T.H., Boughton, D.A., Chow, K., and Luna, L., 2018, River response to large‐dam removal in a Mediterranean hydroclimatic setting: Carmel River, California, USA: Earth Surface Processes and Landforms, v. 43, no. 15, p. 3009-3021, https://doi.org/10.1002/esp.4464.","productDescription":"13 p.","startPage":"3009","endPage":"3021","ipdsId":"IP-094460","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468620,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/esp.4464","text":"External Repository"},{"id":376844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Carmel River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.95373535156249,\n              36.089060460282006\n            ],\n            [\n              -121.22314453124999,\n              36.217687122250574\n            ],\n            [\n              -121.3275146484375,\n              36.85325222344018\n            ],\n            [\n              -122.135009765625,\n              36.846658706232816\n            ],\n            [\n              -121.95373535156249,\n              36.089060460282006\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"15","noUsgsAuthors":false,"publicationDate":"2018-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":794432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":794433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Douglas P.","contributorId":201716,"corporation":false,"usgs":false,"family":"Smith","given":"Douglas","email":"","middleInitial":"P.","affiliations":[{"id":35924,"text":"California State University, Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":794434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, Joshua B. 0000-0002-6191-4119 jlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-6191-4119","contributorId":2335,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua","email":"jlogan@usgs.gov","middleInitial":"B.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":794435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Rosealea","contributorId":201717,"corporation":false,"usgs":false,"family":"Bond","given":"Rosealea","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":794436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nicol, Colin L.","contributorId":201719,"corporation":false,"usgs":false,"family":"Nicol","given":"Colin","email":"","middleInitial":"L.","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":794437,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Thomas H.","contributorId":203283,"corporation":false,"usgs":false,"family":"Williams","given":"Thomas","email":"","middleInitial":"H.","affiliations":[{"id":18933,"text":"NOAA Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":794438,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boughton, David A.","contributorId":172477,"corporation":false,"usgs":false,"family":"Boughton","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":794439,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chow, Kaitlyn","contributorId":201720,"corporation":false,"usgs":false,"family":"Chow","given":"Kaitlyn","email":"","affiliations":[{"id":35924,"text":"California State University, Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":794440,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Luna, Lauren","contributorId":236847,"corporation":false,"usgs":false,"family":"Luna","given":"Lauren","email":"","affiliations":[{"id":35924,"text":"California State University, Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":794441,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70219134,"text":"70219134 - 2018 - Understanding and distinguishing reflectance measurements of solid bitumen and vitrinite using hydrous pyrolysis: Implications to petroleum assessment","interactions":[],"lastModifiedDate":"2021-03-26T21:16:06.542093","indexId":"70219134","displayToPublicDate":"2018-06-29T08:11:01","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Understanding and distinguishing reflectance measurements of solid bitumen and vitrinite using hydrous pyrolysis: Implications to petroleum assessment","docAbstract":"<p class=\"abstractnoin\">Solid bitumen is a common organic component of thermally mature shales and typically is identified by embayment against euhedral mineral terminations and by groundmass textures. However, because these textures are not always present, solid bitumen can be easily misidentified as vitrinite. Hydrous-pyrolysis experiments (72 hr, 300°C–360°C) on shale and coal samples show that solid-bitumen reflectance (<i>BR</i><sub><i>o</i></sub>) in shales is less responsive to thermal stress than vitrinite reflectance (<i>R</i><sub><i>o</i></sub>) in coal. This effect is most pronounced at lower experimental temperatures (300°C–320°C), whereas reflectance changes are more similar at higher temperatures (340°C–360°C). Neither a “vitrinite-like” maceral nor “suppressed vitrinite” was identified or measured in our sample set; instead, the experiments show that solid bitumen matures slower than vitrinite. The data may explain some reports of “<i>R</i><sub><i>o</i></sub><span>&nbsp;</span>suppression,” particularly at lower thermal maturity (<i>R</i><sub><i>o</i></sub><span>&nbsp;</span>≤ 1.0%), as a simple case of solid bitumen being mistaken for vitrinite. Further, the experimental results confirm previous empirical observations that<span>&nbsp;</span><i>R</i><sub><i>o</i></sub><span>&nbsp;</span>and<span>&nbsp;</span><i>BR</i><sub><i>o</i></sub><span>&nbsp;</span>are more similar at higher maturities (<i>R</i><sub><i>o</i></sub><span>&nbsp;</span>&gt; 1.0%). It is suggested that<span>&nbsp;</span><i>R</i><sub><i>o</i></sub><span>&nbsp;</span>suppression, commonly reported from upper Paleozoic marine shales of early to midoil window maturity, is a misnomer. This observation has important implications to petroleum exploration models and resource assessment, because it may change interpretations for the timing and spatial locations of kerogen maturation and petroleum generation.</p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/08291717097","usgsCitation":"Hackley, P.C., and Lewan, M., 2018, Understanding and distinguishing reflectance measurements of solid bitumen and vitrinite using hydrous pyrolysis: Implications to petroleum assessment: AAPG Bulletin, v. 102, no. 6, p. 1119-1140, https://doi.org/10.1306/08291717097.","productDescription":"22 p.","startPage":"1119","endPage":"1140","ipdsId":"IP-084214","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":384667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewan, Michael 0000-0001-6347-1553 mlewan@usgs.gov","orcid":"https://orcid.org/0000-0001-6347-1553","contributorId":173938,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":812906,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196874,"text":"ofr20181080 - 2018 - An evaluation of the toxicity of potassium chloride, active compound in the molluscicide potash, on salmonid fish and their forage base","interactions":[],"lastModifiedDate":"2024-03-04T19:10:11.253189","indexId":"ofr20181080","displayToPublicDate":"2018-06-29T07:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1080","title":"An evaluation of the toxicity of potassium chloride, active compound in the molluscicide potash, on salmonid fish and their forage base","docAbstract":"<p>Potash, with the active ingredient potassium chloride (KCl) is a chemical that is currently being evaluated for potential use as a molluscicide to combat invasive zebra mussels and quagga mussels in Western United States waters. Although data available for other freshwater fishes indicate that recommended treatment levels of potash as a molluscicide are sublethal, this has not been demonstrated for all salmonid species. The objectives of this study were to perform toxicity testing to determine the lethality of potassium chloride against selected species of salmonid fish (brook trout and Chinook salmon) and selected invertebrate forage, and to identify any potential adverse physiological impacts of KCl to these salmonids in water at treatment levels used for mollusk eradication. Minimal mortality (n=1 fish) was observed during 96-hour toxicity testing at KCl concentrations of 0 to 800 milligrams per liter (mg/L), indicating that the lethal concentration (LC<sub>50</sub>) values in these salmonid species were considerably higher than realistic molluscicide treatment concentrations. Sublethal effects were examined through evaluation of behavioral and morphological (histological) observation as well as specific blood chemistry parameters (electrolytes, osmolality, glucose, and cortisol). There was no strong evidence of significant physiological impairment among the two salmonid species due to KCl exposure. Whereas statistically significant differences in some parameters were observed in association with KCl treatments, it is unlikely that these differences indicate adverse biological impacts. Acute toxicity tests were conducted with invertebrate species at KCl exposure concentrations of 0–3,200 mg/L. Daphniid exposure trials resulted in differences in mortality among the test groups with higher mortality evident among the higher KCl exposure concentrations with a calculated LC<sub>50</sub> value of 196 mg/L KCl for a 48-hour exposure. Crayfish exposed to higher concentrations of KCl at or above 800 mg/L as specimens exhibited death or reversible paralysis. Chironomid larvae exposures were largely inconclusive because of cannibalistic behavior among the various test groups.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181080","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Densmore, C.L., Iwanowicz, L.R., Henderson, A.P., Blazer, V.S., Reed-Grimmett, B.M., and Sanders, L.R., 2018,  \nAn evaluation of the toxicity of potassium chloride, active compound in the molluscicide potash, on salmonid fish and their forage base: U.S. Geological Survey Open-File Report 2018–1080, 33 p., https://doi.org/10.3133/ofr20181080.","productDescription":"Report: viii, 33 p.; Data release","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-092981","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":355322,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HQ3Z5G","text":"USGS data release","description":"USGS data release","linkHelpText":"Toxicity of potassium chloride, active compound in the molluscicide potash, on salmonid fishes and their forage base (Leetown Science Center, 2018)"},{"id":355290,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1080/ofr20181080.pdf","text":"Report","size":"1.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1080"},{"id":355289,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1080/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>11649 Leetown Road<br>Kearneysville, WV 25430</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Applied Methodology and Procedures</li><li>Results</li><li>Interpretations and Conclusions</li><li>Selected References</li><li>Appendix 1. Water Chemistry Analysis</li><li>Appendix 2. Ionized potassium measurements—96-hour acute toxicity tests</li><li>Appendix 3A. Water-quality measurements collected daily from all experimental tanks for the 96-hour potassium chloride toxicity test, with brook trout at high baseline water conductivity</li><li>Appendix 3B. Water-quality measurements collected daily from all experimental tanks for the 96-hour potassium chloride toxicity test with brook trout at low baseline water conductivity</li><li>Appendix 3C. Water-quality measurements collected daily from all experimental tanks for the 96-hour potassium chloride toxicity test with Chinook salmon at high baseline water conductivity</li><li>Appendix 3D. Water-quality measurements collected daily from all experimental tanks for the 96-hour potassium chloride toxicity test with Chinook salmon at low baseline water conductivity</li><li>Appendix 3E. Water-quality parameters for a 24-hour potassium chloride exposure evaluating physiological impacts on brook trout at high baseline water conductivity</li><li>Appendix 3F. Water-quality parameters for a 24-hour potassium chloride exposure evaluating physiological impacts on brook trout at low baseline water conductivity</li><li>Appendix 3G. Water-quality parameters for a 10-day potassium chloride exposure for the evaluation of physiological impacts on Chinook salmon</li><li>Appendix 4. Behavioral and morphological changes observed among acute toxicity tests for Chinook salmon and brook trout</li><li>Appendix 5. Histological changes noted among brook trout and Chinook salmon in the 96-hour acute toxicity testing</li><li>Appendix 6. Log probit analysis calculation of the potassium chloride lethal concentration concentrations for daphniid toxicity trials</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2018-06-29","noUsgsAuthors":false,"publicationDate":"2018-06-29","publicationStatus":"PW","scienceBaseUri":"5b46e547e4b060350a15d099","contributors":{"authors":[{"text":"Densmore, Christine L. 0000-0001-6440-0781","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":204739,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine L.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":734847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Anne P. 0000-0003-4841-8580 ahenderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4841-8580","contributorId":204741,"corporation":false,"usgs":true,"family":"Henderson","given":"Anne","email":"ahenderson@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed-Grimmett, Baileigh M.","contributorId":204740,"corporation":false,"usgs":false,"family":"Reed-Grimmett","given":"Baileigh","email":"","middleInitial":"M.","affiliations":[{"id":6697,"text":"Shepherd University","active":true,"usgs":false}],"preferred":false,"id":734850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanders, Lakyn R. 0000-0001-5937-7740","orcid":"https://orcid.org/0000-0001-5937-7740","contributorId":202645,"corporation":false,"usgs":true,"family":"Sanders","given":"Lakyn","email":"","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734851,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195826,"text":"sir20185034 - 2018 - External quality assurance project report for the National Atmospheric Deposition Program’s National Trends Network and Mercury Deposition Network, 2015–16","interactions":[],"lastModifiedDate":"2018-09-25T06:20:43","indexId":"sir20185034","displayToPublicDate":"2018-06-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5034","title":"External quality assurance project report for the National Atmospheric Deposition Program’s National Trends Network and Mercury Deposition Network, 2015–16","docAbstract":"<p>The U.S. Geological Survey Precipitation Chemistry Quality Assurance project operated five distinct programs to provide external quality assurance monitoring for the National Atmospheric Deposition Program’s (NADP) National Trends Network and Mercury Deposition Network during 2015–16. The National Trends Network programs include (1) a field audit program to evaluate sample contamination and stability, (2) an interlaboratory comparison program to evaluate analytical laboratory performance, and (3) a colocated sampler program to evaluate bias and variability attributed to automated precipitation samplers. The Mercury Deposition Network programs include the (4) system blank program and (5) an interlaboratory comparison program. The results indicate that NADP data continue to be of sufficient quality for the analysis of spatial distributions and time trends for chemical constituents in wet deposition.</p><p>The field audit program results indicate increased sample contamination for calcium, magnesium, and potassium relative to 2010 levels, and slight fluctuation in sodium contamination. Nitrate contamination levels dropped slightly during 2014–16, and chloride contamination leveled off between 2007 and 2016. Sulfate contamination is similar to the 2000 level. Hydrogen ion contamination has steadily decreased since 2012. Losses of ammonium and nitrate resulting from potential sample instability were negligible.</p><p>The NADP Central Analytical Laboratory produced interlaboratory comparison results with low bias and variability compared to other domestic and international laboratories that support atmospheric deposition monitoring. Significant absolute bias above the magnitudes of the detection limits was observed for nitrate and sulfate concentrations, but no analyte determinations exceeded the detection limits for blanks.</p><p>Colocated sampler program results from dissimilar colocated collectors indicate that the retrofit of the National Trends Network with N-CON Systems Company, Inc. precipitation collectors could cause substantial shifts in NADP annual deposition (concentration multiplied by depth) values. Median weekly relative percent differences for analyte concentrations ranged from -4 to +76 percent for cations, from 5 to 6 percent for ammonium, from +14 to +25 percent for anions, and from -21 to +8 percent for hydrogen ion contamination. By comparison, weekly absolute concentration differences for paired identical N-CON Systems Company, Inc., collectors ranged from 4–22 percent for cations; 2–9 percent for anions; 4–5 percent for ammonium; and 13–14 percent for hydrogen ion contamination. The N-CON Systems Company, Inc. collector caught more precipitation than the Aerochem Metrics Model 301 collector (ACM) at the WA99/99WA sites, but it typically caught slightly less precipitation than the ACM at ND11/11ND, sites which receive more wind and snow than WA99/99WA.</p><p>Paired, identical OTT Pluvio-2 and ETI Noah IV precipitation gages were operated at the same sites. Median absolute percent differences for daily measured precipitation depths ranged from 0 to 7 percent. Annual absolute differences ranged from 0.08 percent (ETI Noah IV precipitation gages) to 11 percent (OTT Pluvio-2 precipitation gages).</p><p>The Mercury Deposition Network programs include the system blank program and an interlaboratory comparison program. System blank results indicate that maximum total mercury contamination concentrations in samples were less than the third percentile of all Mercury Deposition Network sample concentrations (1.098 nanograms per liter; ng/L). The Mercury Analytical Laboratory produced chemical concentration results with low bias and variability compared with other domestic and international laboratories that support atmospheric-deposition monitoring. The laboratory’s performance results indicate a +1-ng/L shift in bias between 2015 (-0.4 ng/L) and 2016 (+0.5 ng/L).</p><p><br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185034","usgsCitation":"Wetherbee, G.A., and Martin, RoseAnn, 2018, External quality assurance project report for the National Atmospheric Deposition Program’s National Trends Network and Mercury Deposition Network, 2015–16: U.S. Geological Survey Scientific Investigations Report 2018–5034, 27 p., https://doi.org/10.3133/sir20185034.","productDescription":"vii, 25 p.","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-090939","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":355063,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5034/coverthb2.jpg"},{"id":355487,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5034/sir20185034.pdf","text":"Report","size":"913 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5034"}],"country":"United States","contact":"<p>Branch Chief, Hydrologic Networks Branch, Observing Systems Division<br>U.S. Geological Survey&nbsp;<br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>National Trends Network Quality Assurance Programs<br></li><li>Mercury Deposition Network Quality Assurance Programs<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-06-29","noUsgsAuthors":false,"publicationDate":"2018-06-29","publicationStatus":"PW","scienceBaseUri":"5b46e54ae4b060350a15d0a7","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":202919,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":730188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, RoseAnn 0000-0002-2611-8395 ramartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2611-8395","contributorId":202920,"corporation":false,"usgs":true,"family":"Martin","given":"RoseAnn","email":"ramartin@usgs.gov","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":730189,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197970,"text":"70197970 - 2018 - Two-species occupancy modeling accounting for species misidentification and nondetection","interactions":[],"lastModifiedDate":"2018-07-02T09:54:46","indexId":"70197970","displayToPublicDate":"2018-06-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Two-species occupancy modeling accounting for species misidentification and nondetection","docAbstract":"<ol class=\"\"><li>In occupancy studies, species misidentification can lead to false‐positive detections, which can cause severe estimator biases. Currently, all models that account for false‐positive errors only consider omnibus sources of false detections and are limited to single‐species occupancy.</li><li>However, false detections for a given species often occur because of the misidentification with another, closely related species. To exploit this explicit source of false‐positive detection error, we develop a two‐species occupancy model that accounts for misidentifications between two species of interest. As with other false‐positive models, identifiability is greatly improved by the availability of unambiguous detections at a subset of site x occasions. Here, we consider the case where some of the field observations can be confirmed using laboratory or other independent identification methods (“confirmatory data”).</li><li>We performed three simulation studies to (1) assess the model's performance under various realistic scenarios, (2) investigate the influence of the proportion of confirmatory data on estimator accuracy and (3) compare the performance of this two‐species model with that of the single‐species false‐positive model. The model shows good performance under all scenarios, even when only small proportions of detections are confirmed (e.g. 5%). It also clearly outperforms the single‐species model.</li><li>We illustrate application of this model using a 4‐year dataset on two sympatric species of lungless salamanders: the US federally endangered Shenandoah salamander<span>&nbsp;</span><i>Plethodon shenandoah</i>, and its presumed competitor, the red‐backed salamander<span>&nbsp;</span><i>Plethodon cinereus</i>. Occupancy of red‐backed salamanders appeared very stable across the 4&nbsp;years of study, whereas the Shenandoah salamander displayed substantial turnover in occupancy of forest habitats among years.</li><li>Given the extent of species misidentification issues in occupancy studies, this modelling approach should help improve the reliability of estimates of species distribution, which is the goal of many studies and monitoring programmes. Further developments, to account for different forms of state uncertainty, can be readily undertaken under our general approach.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12985","usgsCitation":"Chambert, T., Campbell Grant, E.H., Miller, D.A., Nichols, J.D., Mulder, K.P., and Brand, A.B., 2018, Two-species occupancy modeling accounting for species misidentification and nondetection: Methods in Ecology and Evolution, v. 9, no. 6, p. 1468-1477, https://doi.org/10.1111/2041-210X.12985.","productDescription":"10 p.","startPage":"1468","endPage":"1477","ipdsId":"IP-094960","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468623,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12985","text":"Publisher Index Page"},{"id":355432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-05","publicationStatus":"PW","scienceBaseUri":"5b46e548e4b060350a15d09d","contributors":{"authors":[{"text":"Chambert, Thierry 0000-0002-9450-9080 tchambert@usgs.gov","orcid":"https://orcid.org/0000-0002-9450-9080","contributorId":191979,"corporation":false,"usgs":false,"family":"Chambert","given":"Thierry","email":"tchambert@usgs.gov","affiliations":[],"preferred":false,"id":739387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":739386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David A. W.","contributorId":126732,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A. W.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":739388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":739389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mulder, Kevin P.","contributorId":194918,"corporation":false,"usgs":false,"family":"Mulder","given":"Kevin","email":"","middleInitial":"P.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":739390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":739391,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197961,"text":"70197961 - 2018 - Influence of landscape structure, topography, and forest type on spatial variation in historical fire regimes, central Oregon, USA","interactions":[],"lastModifiedDate":"2018-07-13T14:22:04","indexId":"70197961","displayToPublicDate":"2018-06-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of landscape structure, topography, and forest type on spatial variation in historical fire regimes, central Oregon, USA","docAbstract":"Context  In the interior Northwest, debate over restoring mixed-conifer forests after a century of fire exclusion is hampered by poor understanding of the pattern and causes of spatial variation in historical fire regimes. \n\nObjectives  To identify the roles of topography, landscape structure, and forest type in driving spatial variation in historical fire regimes in mixed-conifer forests of central Oregon.\n\nMethods  We used tree rings to reconstruct multicentury fire and forest histories at 105 plots over 10,393 ha. We classified fire regimes into four types and assessed whether they varied with topography, the location of fuel-limited pumice basins that inhibit fire spread, and an updated classification of forest type. \n\nResults  We identified four fire-regime types and six forest types. Although surface fires were frequent and often extensive, severe fires were rare in all four types. Fire regimes varied with some aspects of topography (elevation), but not others (slope or aspect) and with the distribution of pumice basins. Fire regimes did not strictly co-vary with mixed-conifer forest types. \n\nConclusions  Our work reveals the persistent influence of landscape structure on spatial variation in historical fire regimes and can help inform discussions about appropriate restoration of fire-excluded forests in the interior Northwest. Where the goal is to restore historical fire regimes at landscape scales, managers may want to consider the influence of topoedaphic and vegetation patch types that could affect fire spread and ignition frequency.","language":"English","publisher":"Springer","doi":"10.1007/s10980-018-0656-6","usgsCitation":"Merschel, A., Heyerdahl, E.K., Spies, T.A., and Loehman, R.A., 2018, Influence of landscape structure, topography, and forest type on spatial variation in historical fire regimes, central Oregon, USA: Landscape Ecology, v. 33, no. 7, p. 1195-1209, https://doi.org/10.1007/s10980-018-0656-6.","productDescription":"15 p.","startPage":"1195","endPage":"1209","ipdsId":"IP-096960","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":355435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-07","publicationStatus":"PW","scienceBaseUri":"5b46e549e4b060350a15d0a3","contributors":{"authors":[{"text":"Merschel, Andrew","contributorId":206075,"corporation":false,"usgs":false,"family":"Merschel","given":"Andrew","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":739338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heyerdahl, Emily K.","contributorId":204192,"corporation":false,"usgs":false,"family":"Heyerdahl","given":"Emily","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":739339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spies, Thomas A.","contributorId":169892,"corporation":false,"usgs":false,"family":"Spies","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":739340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":739337,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198071,"text":"70198071 - 2018 - Climate and plant controls on soil organic matter in coastal wetlands","interactions":[],"lastModifiedDate":"2018-10-23T17:01:28","indexId":"70198071","displayToPublicDate":"2018-06-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Climate and plant controls on soil organic matter in coastal wetlands","docAbstract":"Coastal wetlands are among the most productive and carbon‐rich ecosystems on Earth. Long‐term carbon storage in coastal wetlands occurs primarily belowground as soil organic matter (SOM). In addition to serving as a carbon sink, SOM influences wetland ecosystem structure, function, and stability. To anticipate and mitigate the effects of climate change, there is a need to advance understanding of environmental controls on wetland SOM. Here, we investigated the influence of four soil formation factors: climate, biota, parent materials, and topography. Along the northern Gulf of Mexico, we collected wetland plant and soil data across elevation and zonation gradients within ten estuaries that span broad temperature and precipitation gradients. Our results highlight the importance of climate‐plant controls and indicate that the influence of elevation is scale and location dependent. Coastal wetland plants are sensitive to climate change; small changes in temperature or precipitation can transform coastal wetland plant communities. Across the region, SOM was greatest in mangrove forests and in salt marshes dominated by graminoid plants. SOM was lower in salt flats that lacked vascular plants and in salt marshes dominated by succulent plants. We quantified strong relationships between precipitation, salinity, plant productivity, and SOM. Low precipitation leads to high salinity, which limits plant productivity and appears to constrain SOM accumulation. Our analyses use data from the Gulf of Mexico, but our results can be related to coastal wetlands across the globe and provide a foundation for predicting the ecological effects of future reductions in precipitation and freshwater availability. Coastal wetlands provide many ecosystem services that are SOM dependent and highly vulnerable to climate change. Collectively, our results indicate that future changes in SOM and plant productivity, regulated by cascading effects of precipitation on freshwater availability and salinity, could impact wetland stability and affect the supply of some wetland ecosystem services.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14376","usgsCitation":"Osland, M.J., Gabler, C., Grace, J.B., Day, R.H., McCoy, M., McLeod, J.L., From, A.S., Enwright, N.M., Feher, L.C., Stagg, C.L., and Hartley, S.B., 2018, Climate and plant controls on soil organic matter in coastal wetlands: Global Change Biology, v. 24, no. 11, p. 5361-5379, https://doi.org/10.1111/gcb.14376.","productDescription":"19 p.","startPage":"5361","endPage":"5379","ipdsId":"IP-095606","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"11","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-29","publicationStatus":"PW","scienceBaseUri":"5b46e547e4b060350a15d09b","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gabler, Christopher A.","contributorId":178709,"corporation":false,"usgs":false,"family":"Gabler","given":"Christopher A.","affiliations":[{"id":34767,"text":"School of Earth, Environmental, and Marine Sciences, University of Texas Rio Grande Valley, Brownsville, Texas","active":true,"usgs":false}],"preferred":false,"id":739890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":739891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":739892,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCoy, Meagan L.","contributorId":178710,"corporation":false,"usgs":false,"family":"McCoy","given":"Meagan L.","affiliations":[],"preferred":false,"id":739893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McLeod, Jennie L.","contributorId":149006,"corporation":false,"usgs":false,"family":"McLeod","given":"Jennie","email":"","middleInitial":"L.","affiliations":[{"id":17617,"text":"McLeod Consulting, U.S. Geological Survey, National Wetlands Research Center, Lafayette, Louisiana, USA","active":true,"usgs":false}],"preferred":false,"id":739894,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"From, Andrew S. 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":5038,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","middleInitial":"S.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":739895,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Enwright, Nicholas M. 0000-0002-7887-3261 enwrightn@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":4880,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","email":"enwrightn@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":739896,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Feher, Laura C. 0000-0002-5983-6190 lhundy@usgs.gov","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":176788,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","email":"lhundy@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739897,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739898,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hartley, Stephen B. 0000-0003-1380-2769 hartleys@usgs.gov","orcid":"https://orcid.org/0000-0003-1380-2769","contributorId":4164,"corporation":false,"usgs":true,"family":"Hartley","given":"Stephen","email":"hartleys@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739899,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70197969,"text":"70197969 - 2018 - Decision making for mitigating wildlife diseases: From theory to practice for an emerging fungal pathogen of amphibians","interactions":[],"lastModifiedDate":"2018-07-02T09:57:48","indexId":"70197969","displayToPublicDate":"2018-06-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Decision making for mitigating wildlife diseases: From theory to practice for an emerging fungal pathogen of amphibians","docAbstract":"<ol class=\"\"><li><p>Conservation science can be most effective in its decision‐support role when seeking answers to clearly formulated questions of direct management relevance. Emerging wildlife diseases, a driver of global biodiversity loss, illustrate the challenges of performing this role: in spite of considerable research, successful disease mitigation is uncommon. Decision analysis is increasingly advocated to guide mitigation planning, but its application remains rare.</p></li><li><p>Using an integral projection model, we explored potential mitigation actions for avoiding population declines and the ongoing spatial spread of the fungus<span>&nbsp;</span><i>Batrachochytrium salamandrivorans</i><span>&nbsp;</span>(<i>Bsal</i>). This fungus has recently caused severe amphibian declines in north‐western Europe and currently threatens Palearctic salamander diversity.</p></li><li><p>Available evidence suggests that a<span>&nbsp;</span><i>Bsal</i><span>&nbsp;</span>outbreak in a fire salamander (<i>Salamandra salamandra</i>) population will lead to its rapid extirpation. Treatments such as antifungals or probiotics would need to effectively interrupt transmission (reduce probability of infection by nearly 90%) in order to reduce the risk of host extirpation and successfully eradicate the pathogen.</p></li><li><p>Improving the survival of infected hosts is most likely to be detrimental as it increases the potential for pathogen transmission and spread. Active removal of a large proportion of the host population has some potential to locally eradicate<span>&nbsp;</span><i>Bsal</i><span>&nbsp;</span>and interrupt its spread, depending on the presence of<span>&nbsp;</span><i>Bsal</i><span>&nbsp;</span>reservoirs and on the host's spatial dynamics, which should therefore represent research priorities.</p></li><li><p><i>Synthesis and applications</i>. Mitigation of<span>&nbsp;</span><i>Batrachochytrium salamandrivorans</i>epidemics in susceptible host species is highly challenging, requiring effective interruption of transmission and radical removal of host individuals. More generally, our study illustrates the advantages of framing conservation science directly in the management decision context, rather than adapting to it<span>&nbsp;</span><i>a posteriori</i>.</p></li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13089","usgsCitation":"Canessa, S., Bozzutto, C., Campbell Grant, E.H., Cruickshank, S.S., Fisher, M.C., Koella, J.C., Lotters, S., Martel, A., Pasmans, F., Scheele, B.C., Spitzen-van der Sluijs, A., Steinfartz, S., and Schmidt, B.R., 2018, Decision making for mitigating wildlife diseases: From theory to practice for an emerging fungal pathogen of amphibians: Journal of Applied Ecology, v. 55, no. 4, p. 1987-1996, https://doi.org/10.1111/1365-2664.13089.","productDescription":"10 p.","startPage":"1987","endPage":"1996","ipdsId":"IP-086582","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":355433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-09","publicationStatus":"PW","scienceBaseUri":"5b46e548e4b060350a15d09f","contributors":{"authors":[{"text":"Canessa, Stefano","contributorId":149295,"corporation":false,"usgs":false,"family":"Canessa","given":"Stefano","email":"","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":739374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bozzutto, Claudio","contributorId":206085,"corporation":false,"usgs":false,"family":"Bozzutto","given":"Claudio","email":"","affiliations":[{"id":37237,"text":"Wildlife Analysis GmbH","active":true,"usgs":false}],"preferred":false,"id":739375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":739373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cruickshank, Sam S.","contributorId":169670,"corporation":false,"usgs":false,"family":"Cruickshank","given":"Sam","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":739376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Matthew C.","contributorId":127711,"corporation":false,"usgs":false,"family":"Fisher","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":7115,"text":"Imperial College of London","active":true,"usgs":false}],"preferred":false,"id":739377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koella, Jacob C.","contributorId":206088,"corporation":false,"usgs":false,"family":"Koella","given":"Jacob","email":"","middleInitial":"C.","affiliations":[{"id":37240,"text":"University de Neuchatel","active":true,"usgs":false}],"preferred":false,"id":739378,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lotters, Stefan","contributorId":206089,"corporation":false,"usgs":false,"family":"Lotters","given":"Stefan","email":"","affiliations":[{"id":37241,"text":"Universitatsring","active":true,"usgs":false}],"preferred":false,"id":739379,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martel, An","contributorId":176464,"corporation":false,"usgs":false,"family":"Martel","given":"An","email":"","affiliations":[],"preferred":false,"id":739380,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pasmans, Frank","contributorId":176466,"corporation":false,"usgs":false,"family":"Pasmans","given":"Frank","email":"","affiliations":[],"preferred":false,"id":739381,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Scheele, Ben C.","contributorId":206090,"corporation":false,"usgs":false,"family":"Scheele","given":"Ben","email":"","middleInitial":"C.","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":739382,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Spitzen-van der Sluijs, Annemarieke","contributorId":151241,"corporation":false,"usgs":false,"family":"Spitzen-van der Sluijs","given":"Annemarieke","email":"","affiliations":[],"preferred":false,"id":739383,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Steinfartz, Sebastian","contributorId":206091,"corporation":false,"usgs":false,"family":"Steinfartz","given":"Sebastian","email":"","affiliations":[{"id":37242,"text":"Technishe Univesitat Branschweig","active":true,"usgs":false}],"preferred":false,"id":739384,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schmidt, Benedikt R.","contributorId":151239,"corporation":false,"usgs":false,"family":"Schmidt","given":"Benedikt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":739385,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70197962,"text":"70197962 - 2018 - Quantifying the visual-sensory landscape qualities that contribute to cultural ecosystem services using social media and LiDAR","interactions":[],"lastModifiedDate":"2018-06-29T16:17:12","indexId":"70197962","displayToPublicDate":"2018-06-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the visual-sensory landscape qualities that contribute to cultural ecosystem services using social media and LiDAR","docAbstract":"Landscapes are increasingly recognized for providing valuable cultural ecosystem services with numer- ous non-material benefits by serving as places of rest, relaxation, and inspiration that ultimately improve overall mental health and physical well-being. Maintaining and enhancing these valuable benefits through targeted management and conservation measures requires understanding the spatial and tem- poral determinants of perceived landscape values. Content contributed through mobile technologies and the web are emerging globally, providing a promising data source for localizing and assessing these land- scape benefits. These georeferenced data offer rich in situ qualitative information through photos and comments that capture valued and special locations across large geographic areas. We present a novel method for mapping and modeling landscape values and perceptions that leverages viewshed analysis of georeferenced social media data. Using a high resolution LiDAR (Light Detection and Ranging) derived digital surface model, we are able to evaluate landscape characteristics associated with the visual- sensory qualities of outdoor recreationalists. Our results show the importance of historical monuments and attractions in addition to specific environmental features which are appreciated by the public. Evaluation of photo-image content highlights the opportunity of including temporally and spatially vari- able visual-sensory qualities in cultural ecosystem services (CES) evaluation like the sights, sounds and smells of wildlife and weather phenomena.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2018.03.022","usgsCitation":"Van Berkel, D.B., Tabrizian, P., Dorning, M., Smart, L.S., Newcomb, D., Mehaffey, M., Neale, A., and Meentemeyer, R.K., 2018, Quantifying the visual-sensory landscape qualities that contribute to cultural ecosystem services using social media and LiDAR: Ecosystem Services, v. 31, no. Part C, p. 326-335, https://doi.org/10.1016/j.ecoser.2018.03.022.","productDescription":"10 p.","startPage":"326","endPage":"335","ipdsId":"IP-091968","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoser.2018.03.022","text":"Publisher Index Page"},{"id":355434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {\n        \"stroke\": \"#555555\",\n        \"stroke-width\": 2,\n        \"stroke-opacity\": 1,\n        \"fill\": \"#555555\",\n        \"fill-opacity\": 0.5\n      },\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.65087890624999,\n              34.79576153473033\n            ],\n            [\n              -78.44238281249999,\n              33.7243396617476\n            ],\n            [\n              -78.20068359374999,\n              33.797408767572485\n            ],\n            [\n              -78.0029296875,\n              33.687781758439364\n            ],\n            [\n              -77.80517578125,\n              33.779147331286474\n            ],\n            [\n              -77.71728515624999,\n              34.05265942137599\n            ],\n            [\n              -77.51953125,\n              34.27083595165\n            ],\n            [\n              -77.32177734375,\n              34.361576287484176\n            ],\n            [\n              -76.97021484375,\n              34.542762387234845\n            ],\n            [\n              -76.552734375,\n              34.63320791137959\n            ],\n            [\n              -76.37695312499999,\n              34.63320791137959\n            ],\n            [\n              -76.1572265625,\n              34.77771580360469\n            ],\n            [\n              -75.91552734375,\n              34.97600151317588\n            ],\n            [\n              -75.56396484375,\n              35.06597313798418\n            ],\n            [\n              -75.30029296875,\n              35.17380831799959\n            ],\n            [\n              -75.34423828125,\n              35.67514743608467\n            ],\n            [\n              -75.43212890625,\n              35.99578538642032\n            ],\n            [\n              -75.6298828125,\n              36.35052700542763\n            ],\n            [\n              -75.69580078125,\n              36.54494944148322\n            ],\n            [\n              -78.3544921875,\n              36.50963615733049\n            ],\n            [\n              -78.3984375,\n              35.817813158696616\n            ],\n            [\n              -78.1787109375,\n              35.7286770448517\n            ],\n            [\n              -78.5302734375,\n              35.44277092585766\n            ],\n            [\n              -78.486328125,\n              35.28150065789119\n            ],\n            [\n              -78.28857421875,\n              35.209721645221386\n            ],\n            [\n              -78.662109375,\n              35.10193405724606\n            ],\n            [\n              -78.662109375,\n              34.831841149828655\n            ],\n            [\n              -79.07958984375,\n              34.95799531086792\n            ],\n            [\n              -79.365234375,\n              34.88593094075317\n            ],\n            [\n              -79.65087890624999,\n              34.79576153473033\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"Part C","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e548e4b060350a15d0a1","contributors":{"authors":[{"text":"Van Berkel, Derek B.","contributorId":195691,"corporation":false,"usgs":false,"family":"Van Berkel","given":"Derek","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":739342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tabrizian, Payam","contributorId":206076,"corporation":false,"usgs":false,"family":"Tabrizian","given":"Payam","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":739343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorning, Monica 0000-0002-7576-1256 mdorning@usgs.gov","orcid":"https://orcid.org/0000-0002-7576-1256","contributorId":191772,"corporation":false,"usgs":true,"family":"Dorning","given":"Monica","email":"mdorning@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":739341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smart, Lindsey S.","contributorId":192250,"corporation":false,"usgs":false,"family":"Smart","given":"Lindsey","email":"","middleInitial":"S.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":739344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newcomb, Doug","contributorId":150080,"corporation":false,"usgs":false,"family":"Newcomb","given":"Doug","email":"","affiliations":[{"id":17902,"text":"US Fish and Wildlife Service, Raleigh, NC","active":true,"usgs":false}],"preferred":false,"id":739345,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mehaffey, Megan","contributorId":206077,"corporation":false,"usgs":false,"family":"Mehaffey","given":"Megan","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":739346,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neale, Anne","contributorId":43275,"corporation":false,"usgs":true,"family":"Neale","given":"Anne","email":"","affiliations":[],"preferred":false,"id":739347,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meentemeyer, Ross K.","contributorId":179341,"corporation":false,"usgs":false,"family":"Meentemeyer","given":"Ross","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":739348,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70197960,"text":"70197960 - 2018 - Temporal and spatial variation in pharmaceutical concentrations in an urban river system","interactions":[],"lastModifiedDate":"2018-06-29T16:26:52","indexId":"70197960","displayToPublicDate":"2018-06-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variation in pharmaceutical concentrations in an urban river system","docAbstract":"Many studies have quantified pharmaceuticals in the environment, few however, have incorporated detailed temporal and spatial variability due to associated costs in terms of time and materials. Here, we target 33 physico-chemically diverse pharmaceuticals in a spatiotemporal exposure study into the occurrence of pharmaceuticals in the wastewater system and the Rivers Ouse and Foss (two diverse river systems) in the city of York, UK. Removal rates in two of the WWTPs sampled (a conventional activated sludge (CAS) and trickling filter plant) ranged from not eliminated (carbamazepine) to >99% (paracetamol). Data comparisons indicate that pharmaceutical exposures in river systems are highly variable regionally, in part due to variability in prescribing practices, hydrology, wastewater management, and urbanisation and that select annual median pharmaceutical concentrations observed in this study were higher than those previously observed in the European Union and Asia thus far. Significant spatial variability was found between all sites in both river systems, while seasonal variability was significant for 86% and 50% of compounds in the River Foss and Ouse, respectively. Seasonal variations in flow, in-stream attenuation, usage and septic effluent releases are suspected drivers behind some of the observed temporal exposure variability. When the data were used to evaluate a simple environmental exposure model for pharmaceuticals, mean ratios of predicted environmental concentrations (PECs), obtained using the model, to measured environmental concentrations (MECs) were 0.51 and 0.04 for the River Foss and River Ouse, respectively. Such PEC/MEC ratios indicate that the model underestimates actual concentrations in both river systems, but to a much greater extent in the larger River Ouse.","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2018.02.066","usgsCitation":"Burns, E.E., Carter, L.J., Kolpin, D., Thomas-Oates, J., and Boxall, A.B., 2018, Temporal and spatial variation in pharmaceutical concentrations in an urban river system: Water Research, v. 137, p. 72-85, https://doi.org/10.1016/j.watres.2018.02.066.","productDescription":"14 p.","startPage":"72","endPage":"85","ipdsId":"IP-092917","costCenters":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":468621,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://orcid.org/0000-0003-4236-6409>,","text":"Publisher Index Page"},{"id":355436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Kingdom","otherGeospatial":"River Foss, River Ouse","volume":"137","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e54ae4b060350a15d0a5","contributors":{"authors":[{"text":"Burns, Emily E.","contributorId":199400,"corporation":false,"usgs":false,"family":"Burns","given":"Emily","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":739405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Laura J.","contributorId":206097,"corporation":false,"usgs":false,"family":"Carter","given":"Laura","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":739406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas-Oates, Jane","contributorId":195997,"corporation":false,"usgs":false,"family":"Thomas-Oates","given":"Jane","email":"","affiliations":[],"preferred":false,"id":739407,"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":739408,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198667,"text":"70198667 - 2018 - Application of a luminescence‐based sediment transport model","interactions":[],"lastModifiedDate":"2018-08-14T14:15:18","indexId":"70198667","displayToPublicDate":"2018-06-28T14:15:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Application of a luminescence‐based sediment transport model","docAbstract":"<p><span>Quantifying the transport history of sand is a challenging but important goal in geomorphology. In this paper, we take a simple idea that luminescence is bleached during transport and regenerates during storage, and use this as a basis to re‐envision luminescence as a sediment tracer. We apply a mathematical model describing luminescence through an idealized channel and reservoir system and then compare this idealized model to real rivers to see if luminescence can reproduce known sediment transport data. We provide results from application of this luminescence method in three rivers from the mid‐Atlantic region of the United States. This method appears promising. However, as a river system diverges from idealized conditions of the mathematical model, the luminescence data diverge from model predictions. We suggest that spatial variation in the delivery of sediment from hillslopes can be reflected in the channel sediment luminescence and that luminescence acts as a function of landscape dynamics.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2018GL078210","usgsCitation":"Gray, H.J., Tucker, G.E., and Mahan, S.A., 2018, Application of a luminescence‐based sediment transport model: Geophysical Research Letters, v. 45, no. 12, p. 6071-6080, https://doi.org/10.1029/2018GL078210.","productDescription":"10 p.","startPage":"6071","endPage":"6080","ipdsId":"IP-095359","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468624,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2018gl078210","text":"External Repository"},{"id":437837,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZW1K6C","text":"USGS data release","linkHelpText":"Data release for application of a luminescence-based sediment transport model"},{"id":356448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-20","publicationStatus":"PW","scienceBaseUri":"5b98a2a3e4b0702d0e842fa4","contributors":{"authors":[{"text":"Gray, Harrison J. 0000-0002-4555-7473 hgray@usgs.gov","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":4991,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison","email":"hgray@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":742412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Gregory E.","contributorId":177811,"corporation":false,"usgs":false,"family":"Tucker","given":"Gregory","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":742413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":742414,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197958,"text":"70197958 - 2018 - Research and management priorities for Hawaiian forest birds","interactions":[],"lastModifiedDate":"2018-07-02T10:00:09","indexId":"70197958","displayToPublicDate":"2018-06-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Research and management priorities for Hawaiian forest birds","docAbstract":"<p><span>Hawai‘i's forest birds face a number of conservation challenges that, if unaddressed, will likely lead to the extinction of multiple species in the coming decades. Threats include habitat loss, invasive plants, non-native predators, and introduced diseases. Climate change is predicted to increase the geographic extent and intensity of these threats, adding urgency to implementation of tractable conservation strategies. We present a set of actionable research and management approaches, identified by conservation practitioners in Hawai'i, that will be critical for the conservation of Hawaiian forest birds in the coming years. We also summarize recent progress on these conservation priorities. The threats facing Hawai‘i's forest birds are not unique to Hawai‘i, and successful conservation strategies developed in Hawai‘i can serve as a model for other imperiled communities around the world, especially on islands.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-18-25.1","usgsCitation":"Paxton, E., Laut, M., Vetter, J.P., and Kendall, S.J., 2018, Research and management priorities for Hawaiian forest birds: Condor, v. 120, no. 3, p. 557-565, https://doi.org/10.1650/CONDOR-18-25.1.","productDescription":"9 p.","startPage":"557","endPage":"565","ipdsId":"IP-079983","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":468625,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1650/CONDOR-18-25.1","text":"External Repository"},{"id":355418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai‘i","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-155.778234,20.245743],[-155.772734,20.245409],[-155.746893,20.232325],[-155.737004,20.222773],[-155.735822,20.212417],[-155.732704,20.205392],[-155.653966,20.16736],[-155.630382,20.146916],[-155.624565,20.145911],[-155.607797,20.137987],[-155.600909,20.126573],[-155.598033,20.124539],[-155.590923,20.122497],[-155.58168,20.123617],[-155.568368,20.130545],[-155.558933,20.13157],[-155.523661,20.120028],[-155.516795,20.11523],[-155.502561,20.114155],[-155.468211,20.104296],[-155.443957,20.095318],[-155.405459,20.078772],[-155.4024,20.075541],[-155.387578,20.067119],[-155.33021,20.038517],[-155.29548,20.024438],[-155.282629,20.021969],[-155.270316,20.014525],[-155.240933,19.990173],[-155.204486,19.969438],[-155.194593,19.958368],[-155.179939,19.949372],[-155.149215,19.922872],[-155.144394,19.920523],[-155.131235,19.906801],[-155.124618,19.897288],[-155.12175,19.886099],[-155.107541,19.872467],[-155.098716,19.867811],[-155.095032,19.867882],[-155.086341,19.855399],[-155.084357,19.849736],[-155.085674,19.838584],[-155.088979,19.826656],[-155.094414,19.81491],[-155.09207,19.799409],[-155.091216,19.776368],[-155.093517,19.771832],[-155.093387,19.737751],[-155.087118,19.728013],[-155.079426,19.726193],[-155.063972,19.728917],[-155.045382,19.739824],[-155.006423,19.739286],[-154.997278,19.72858],[-154.987168,19.708524],[-154.981102,19.690687],[-154.984718,19.672161],[-154.983778,19.641647],[-154.974342,19.633201],[-154.963933,19.627605],[-154.950359,19.626461],[-154.947874,19.62425],[-154.947718,19.621947],[-154.951014,19.613614],[-154.947106,19.604856],[-154.93394,19.597505],[-154.928205,19.592702],[-154.924422,19.586553],[-154.903542,19.570622],[-154.875,19.556797],[-154.852618,19.549172],[-154.837384,19.538354],[-154.826732,19.537626],[-154.814417,19.53009],[-154.809561,19.522377],[-154.809379,19.519086],[-154.822968,19.48129],[-154.838545,19.463642],[-154.86854,19.438126],[-154.887817,19.426425],[-154.928772,19.397646],[-154.944185,19.381852],[-154.964619,19.365646],[-154.980861,19.349291],[-155.020537,19.331317],[-155.061729,19.316636],[-155.113272,19.290613],[-155.1337,19.276099],[-155.159635,19.268375],[-155.172413,19.26906],[-155.187427,19.266156],[-155.19626,19.261295],[-155.205892,19.260907],[-155.243961,19.271313],[-155.264619,19.274213],[-155.296761,19.266289],[-155.303808,19.261835],[-155.31337,19.250698],[-155.341268,19.234039],[-155.349148,19.217756],[-155.360631,19.20893],[-155.378638,19.202435],[-155.390701,19.201171],[-155.417369,19.187858],[-155.427093,19.179546],[-155.432519,19.170623],[-155.453516,19.151952],[-155.465663,19.146964],[-155.505281,19.137908],[-155.51474,19.132501],[-155.51214,19.128174],[-155.512137,19.124296],[-155.519652,19.117025],[-155.526136,19.115889],[-155.528902,19.11371],[-155.544806,19.091059],[-155.551129,19.08878],[-155.557817,19.08213],[-155.555326,19.069377],[-155.555177,19.053932],[-155.557371,19.046565],[-155.566446,19.032531],[-155.576599,19.027412],[-155.581903,19.02224],[-155.596032,18.998833],[-155.596521,18.980654],[-155.601866,18.971572],[-155.613966,18.970399],[-155.625256,18.961951],[-155.625,18.959934],[-155.638054,18.941723],[-155.658486,18.924835],[-155.672005,18.917466],[-155.681825,18.918694],[-155.687716,18.923358],[-155.690171,18.932195],[-155.693117,18.940542],[-155.726043,18.969437],[-155.763598,18.981837],[-155.806109,19.013967],[-155.853943,19.023762],[-155.88155,19.036644],[-155.884077,19.039266],[-155.886278,19.05576],[-155.903693,19.080777],[-155.908355,19.081138],[-155.921389,19.121183],[-155.917292,19.155963],[-155.903339,19.217792],[-155.90491,19.230147],[-155.902565,19.258427],[-155.895435,19.274639],[-155.890842,19.298905],[-155.887356,19.337101],[-155.888701,19.348031],[-155.898792,19.377984],[-155.913849,19.401107],[-155.909087,19.415455],[-155.921707,19.43055],[-155.924269,19.438794],[-155.925166,19.468081],[-155.922609,19.478611],[-155.924124,19.481406],[-155.930523,19.484921],[-155.935641,19.485628],[-155.936403,19.481905],[-155.939145,19.481577],[-155.95149,19.486649],[-155.952897,19.488805],[-155.953663,19.510003],[-155.960457,19.546612],[-155.962264,19.551779],[-155.965211,19.554745],[-155.96935,19.555963],[-155.970969,19.586328],[-155.978206,19.608159],[-155.997728,19.642816],[-156.028982,19.650098],[-156.032928,19.653905],[-156.034994,19.65936],[-156.033326,19.66923],[-156.027427,19.672154],[-156.029281,19.678908],[-156.036079,19.690252],[-156.04796,19.698938],[-156.051652,19.703649],[-156.052485,19.718667],[-156.064364,19.730766],[-156.05722,19.742536],[-156.052315,19.756836],[-156.049651,19.780452],[-156.021732,19.8022],[-156.006267,19.81758],[-155.982821,19.845651],[-155.976651,19.85053],[-155.964817,19.855183],[-155.949251,19.857034],[-155.945297,19.853443],[-155.940311,19.852305],[-155.925843,19.858928],[-155.926938,19.870221],[-155.92549,19.875],[-155.915662,19.887126],[-155.901987,19.912081],[-155.894099,19.923135],[-155.894474,19.926927],[-155.892533,19.932162],[-155.866919,19.954172],[-155.856588,19.968885],[-155.840708,19.976952],[-155.838692,19.975527],[-155.835312,19.976078],[-155.831948,19.982775],[-155.828965,19.995542],[-155.825473,20.025944],[-155.828182,20.035424],[-155.850385,20.062506],[-155.866931,20.078652],[-155.88419,20.10675],[-155.899149,20.145728],[-155.906035,20.205157],[-155.901452,20.235787],[-155.890663,20.25524],[-155.882631,20.263026],[-155.873921,20.267744],[-155.853293,20.271548],[-155.811459,20.26032],[-155.783242,20.246395],[-155.778234,20.245743]]],[[[-157.789581,21.438396],[-157.789734,21.437679],[-157.789276,21.435833],[-157.790543,21.434313],[-157.791718,21.434881],[-157.793045,21.43391],[-157.793167,21.43574],[-157.791565,21.43651],[-157.791779,21.437752],[-157.793289,21.437658],[-157.791779,21.438435],[-157.791092,21.438442],[-157.790741,21.43874],[-157.789581,21.438396]]],[[[-160.125,21.95909],[-160.122262,21.962881],[-160.112746,21.995245],[-160.09645,22.001489],[-160.072123,22.003334],[-160.058543,21.99638],[-160.051992,21.983681],[-160.052729,21.980321],[-160.056336,21.977939],[-160.060549,21.976729],[-160.063349,21.978354],[-160.065811,21.976562],[-160.078393,21.955153],[-160.085787,21.927295],[-160.080012,21.910808],[-160.079065,21.89608],[-160.098897,21.884711],[-160.124283,21.876789],[-160.147609,21.872814],[-160.16162,21.864746],[-160.174796,21.846923],[-160.189782,21.82245],[-160.205211,21.789053],[-160.200427,21.786479],[-160.205851,21.779518],[-160.218044,21.783755],[-160.23478,21.795418],[-160.24961,21.815145],[-160.244943,21.848943],[-160.231028,21.886263],[-160.228965,21.889117],[-160.21383,21.899193],[-160.205528,21.907507],[-160.202716,21.912422],[-160.190158,21.923592],[-160.167471,21.932863],[-160.13705,21.948632],[-160.127302,21.955508],[-160.125,21.95909]]],[[[-159.431707,22.220015],[-159.40732,22.230555],[-159.388119,22.223252],[-159.385977,22.220009],[-159.367563,22.214906],[-159.359842,22.214831],[-159.357227,22.217744],[-159.353795,22.217669],[-159.339964,22.208519],[-159.315613,22.186817],[-159.308855,22.155555],[-159.297808,22.149748],[-159.295875,22.144547],[-159.295271,22.13039],[-159.297143,22.113815],[-159.317451,22.080944],[-159.321667,22.063411],[-159.324775,22.05867],[-159.333267,22.054639],[-159.337996,22.046575],[-159.341401,22.028978],[-159.333224,21.973005],[-159.333109,21.964176],[-159.334714,21.961099],[-159.350828,21.950817],[-159.356613,21.939546],[-159.382349,21.924479],[-159.408284,21.897781],[-159.425862,21.884527],[-159.446599,21.871647],[-159.471962,21.88292],[-159.490914,21.888898],[-159.517973,21.890996],[-159.555415,21.891355],[-159.574991,21.896585],[-159.577784,21.900486],[-159.584272,21.899038],[-159.610241,21.898356],[-159.637849,21.917166],[-159.648132,21.93297],[-159.671872,21.957038],[-159.681493,21.960054],[-159.705255,21.963427],[-159.72014,21.970789],[-159.758218,21.980694],[-159.765735,21.986593],[-159.788139,22.018411],[-159.790932,22.031177],[-159.786543,22.06369],[-159.780096,22.072567],[-159.748159,22.100388],[-159.741223,22.115666],[-159.733457,22.142756],[-159.726043,22.152171],[-159.699978,22.165252],[-159.66984,22.170782],[-159.608794,22.207878],[-159.591596,22.219456],[-159.583965,22.22668],[-159.559643,22.229185],[-159.554166,22.228212],[-159.548594,22.226263],[-159.54115,22.216764],[-159.534594,22.219403],[-159.523769,22.217602],[-159.51941,22.215646],[-159.518348,22.211182],[-159.515574,22.208008],[-159.507811,22.205987],[-159.501055,22.211064],[-159.500821,22.225538],[-159.488558,22.23317],[-159.480158,22.232715],[-159.467007,22.226529],[-159.45619,22.228811],[-159.441809,22.226321],[-159.431707,22.220015]]],[[[-157.014553,21.185503],[-156.999108,21.182221],[-156.991318,21.18551],[-156.987768,21.18935],[-156.982343,21.207798],[-156.984464,21.210063],[-156.984032,21.212198],[-156.974002,21.218503],[-156.969064,21.217018],[-156.962847,21.212131],[-156.951654,21.191662],[-156.950808,21.182636],[-156.946159,21.175963],[-156.918248,21.168279],[-156.903466,21.16421],[-156.898174,21.16594],[-156.89613,21.169561],[-156.896537,21.172208],[-156.867944,21.16452],[-156.841592,21.167926],[-156.821944,21.174693],[-156.771495,21.180053],[-156.742231,21.176214],[-156.738341,21.17202],[-156.736648,21.16188],[-156.719386,21.163911],[-156.712696,21.161547],[-156.714158,21.152238],[-156.726033,21.13236],[-156.748932,21.1086],[-156.775995,21.089751],[-156.790815,21.081686],[-156.794136,21.075796],[-156.835351,21.06336],[-156.865795,21.057801],[-156.877137,21.0493],[-156.891946,21.051831],[-156.89517,21.055771],[-156.953719,21.067761],[-157.00295,21.083282],[-157.02617,21.089015],[-157.032045,21.091094],[-157.037667,21.097864],[-157.079696,21.105835],[-157.095373,21.10636],[-157.125,21.1026],[-157.143483,21.096632],[-157.254061,21.090601],[-157.298054,21.096917],[-157.313343,21.105755],[-157.299187,21.132488],[-157.299471,21.135972],[-157.293774,21.146127],[-157.284346,21.157755],[-157.276474,21.163175],[-157.274504,21.162762],[-157.259911,21.174875],[-157.254709,21.181376],[-157.251007,21.190952],[-157.25026,21.207739],[-157.256935,21.215665],[-157.261457,21.217661],[-157.263163,21.220873],[-157.26069,21.225684],[-157.257085,21.227268],[-157.241534,21.220969],[-157.226445,21.220185],[-157.212082,21.221848],[-157.202125,21.219298],[-157.192439,21.207644],[-157.185553,21.205602],[-157.157103,21.200706],[-157.148125,21.200745],[-157.144627,21.202555],[-157.128207,21.201488],[-157.113438,21.197375],[-157.097971,21.198012],[-157.064264,21.189076],[-157.053053,21.188754],[-157.047757,21.190739],[-157.039987,21.190909],[-157.014553,21.185503]]],[[[-156.544169,20.522802],[-156.550016,20.520273],[-156.559994,20.521892],[-156.586238,20.511711],[-156.603844,20.524372],[-156.631143,20.514943],[-156.642347,20.508285],[-156.647464,20.512017],[-156.668809,20.504738],[-156.682939,20.506775],[-156.703673,20.527237],[-156.702265,20.532451],[-156.696662,20.541646],[-156.6801,20.557021],[-156.651567,20.565574],[-156.614598,20.587109],[-156.610734,20.59377],[-156.576871,20.60657],[-156.56714,20.604895],[-156.553604,20.594729],[-156.543034,20.580115],[-156.542808,20.573674],[-156.548909,20.56859],[-156.556021,20.542657],[-156.553018,20.539382],[-156.540189,20.534741],[-156.539643,20.527644],[-156.544169,20.522802]]],[[[-156.612012,21.02477],[-156.612065,21.027273],[-156.606238,21.034371],[-156.592256,21.03288],[-156.580448,21.020172],[-156.562773,21.016167],[-156.549813,21.004939],[-156.546291,21.005082],[-156.528246,20.967757],[-156.518707,20.954662],[-156.512226,20.95128],[-156.510391,20.940358],[-156.507913,20.937886],[-156.49948,20.934577],[-156.495883,20.928005],[-156.493263,20.916011],[-156.481055,20.898199],[-156.474796,20.894546],[-156.422668,20.911631],[-156.386045,20.919563],[-156.374297,20.927616],[-156.370729,20.932669],[-156.352649,20.941414],[-156.345655,20.941596],[-156.342365,20.938737],[-156.332817,20.94645],[-156.324578,20.950184],[-156.307198,20.942739],[-156.286332,20.947701],[-156.275116,20.937361],[-156.263107,20.940888],[-156.242555,20.937838],[-156.230159,20.931936],[-156.230089,20.917864],[-156.226757,20.916677],[-156.222062,20.918309],[-156.217953,20.916573],[-156.216341,20.907035],[-156.173103,20.876926],[-156.170458,20.874605],[-156.166746,20.865646],[-156.132669,20.861369],[-156.129381,20.847513],[-156.115735,20.827301],[-156.100123,20.828502],[-156.090291,20.831872],[-156.059788,20.81054],[-156.033287,20.808246],[-156.003532,20.795545],[-156.002947,20.789418],[-155.987944,20.776552],[-155.984587,20.767496],[-155.986851,20.758577],[-155.985413,20.744245],[-155.987216,20.722717],[-155.991534,20.713654],[-156.00187,20.698064],[-156.01415,20.685681],[-156.020044,20.686857],[-156.030702,20.682452],[-156.040341,20.672719],[-156.043786,20.664902],[-156.053385,20.65432],[-156.059753,20.652044],[-156.081472,20.654387],[-156.089365,20.648519],[-156.120985,20.633685],[-156.129898,20.627523],[-156.142665,20.623605],[-156.144588,20.624032],[-156.148085,20.629067],[-156.156772,20.629639],[-156.169732,20.627358],[-156.173393,20.6241],[-156.184556,20.629719],[-156.192938,20.631769],[-156.210258,20.628518],[-156.225338,20.62294],[-156.236145,20.61595],[-156.265921,20.601629],[-156.284391,20.596488],[-156.288037,20.59203],[-156.293454,20.588783],[-156.302692,20.586199],[-156.322944,20.588273],[-156.351716,20.58697],[-156.359634,20.581977],[-156.370725,20.57876],[-156.377633,20.578427],[-156.415313,20.586099],[-156.417523,20.589728],[-156.415746,20.594044],[-156.417799,20.598682],[-156.423141,20.602079],[-156.427708,20.598873],[-156.431872,20.598143],[-156.438385,20.601337],[-156.444242,20.607941],[-156.442884,20.613842],[-156.450651,20.642212],[-156.445894,20.64927],[-156.443673,20.656018],[-156.448656,20.704739],[-156.451038,20.725469],[-156.452895,20.731287],[-156.458438,20.736676],[-156.462242,20.753952],[-156.462058,20.772571],[-156.464043,20.781667],[-156.473562,20.790756],[-156.489496,20.798339],[-156.501688,20.799933],[-156.506026,20.799463],[-156.515994,20.794234],[-156.525215,20.780821],[-156.537752,20.778408],[-156.631794,20.82124],[-156.678634,20.870541],[-156.688969,20.888673],[-156.687804,20.89072],[-156.688132,20.906325],[-156.691334,20.91244],[-156.697418,20.916368],[-156.69989,20.920629],[-156.69411,20.952708],[-156.680905,20.980262],[-156.665514,21.007054],[-156.652419,21.008994],[-156.645966,21.014416],[-156.642592,21.019936],[-156.644167,21.022312],[-156.642809,21.027583],[-156.619581,21.027793],[-156.612012,21.02477]]],[[[-157.010001,20.929757],[-156.989813,20.932127],[-156.971604,20.926254],[-156.937529,20.925274],[-156.91845,20.922546],[-156.897169,20.915395],[-156.837047,20.863575],[-156.825237,20.850731],[-156.809576,20.826036],[-156.808469,20.820396],[-156.809463,20.809169],[-156.817427,20.794606],[-156.838321,20.764575],[-156.846413,20.760201],[-156.851481,20.760069],[-156.869753,20.754701],[-156.890295,20.744855],[-156.909081,20.739533],[-156.949009,20.738997],[-156.96789,20.73508],[-156.984747,20.756677],[-156.994001,20.786671],[-156.988933,20.815496],[-156.991834,20.826603],[-157.006243,20.849603],[-157.010911,20.854476],[-157.054552,20.877219],[-157.059663,20.884634],[-157.061128,20.890635],[-157.062511,20.904385],[-157.05913,20.913407],[-157.035789,20.927078],[-157.025626,20.929528],[-157.010001,20.929757]]],[[[-158.044485,21.306011],[-158.0883,21.2988],[-158.1033,21.2979],[-158.1127,21.3019],[-158.1211,21.3169],[-158.1225,21.3224],[-158.111949,21.326622],[-158.114196,21.331123],[-158.119427,21.334594],[-158.125459,21.330264],[-158.13324,21.359207],[-158.1403,21.3738],[-158.149719,21.385208],[-158.161743,21.396282],[-158.1792,21.4043],[-158.181274,21.409626],[-158.181,21.420868],[-158.182648,21.430073],[-158.192352,21.44804],[-158.205383,21.459793],[-158.219446,21.46978],[-158.233,21.4876],[-158.231171,21.523857],[-158.23175,21.533035],[-158.234314,21.540058],[-158.250671,21.557373],[-158.27951,21.575794],[-158.277679,21.578789],[-158.254425,21.582684],[-158.190704,21.585892],[-158.17,21.5823],[-158.12561,21.586739],[-158.10672,21.596577],[-158.106689,21.603024],[-158.1095,21.6057],[-158.108185,21.607487],[-158.079895,21.628101],[-158.0668,21.6437],[-158.066711,21.65234],[-158.0639,21.6584],[-158.0372,21.6843],[-158.018127,21.699955],[-157.9923,21.708],[-157.98703,21.712494],[-157.968628,21.712704],[-157.947174,21.689568],[-157.939,21.669],[-157.9301,21.6552],[-157.924591,21.651183],[-157.9228,21.6361],[-157.9238,21.6293],[-157.910797,21.611183],[-157.900574,21.605885],[-157.87735,21.575277],[-157.878601,21.560181],[-157.872528,21.557568],[-157.8669,21.5637],[-157.85614,21.560661],[-157.85257,21.557514],[-157.836945,21.529945],[-157.837372,21.512085],[-157.849579,21.509598],[-157.852625,21.499971],[-157.84549,21.466747],[-157.84099,21.459483],[-157.82489,21.455379],[-157.8163,21.4502],[-157.8139,21.4403],[-157.8059,21.4301],[-157.786513,21.415633],[-157.779846,21.417309],[-157.774455,21.421352],[-157.772209,21.431236],[-157.774905,21.453698],[-157.772209,21.457741],[-157.764572,21.461335],[-157.754239,21.461335],[-157.737617,21.459089],[-157.731777,21.455944],[-157.731328,21.444713],[-157.73582,21.438424],[-157.740762,21.424048],[-157.741211,21.414614],[-157.7386,21.4043],[-157.730191,21.401871],[-157.728221,21.402104],[-157.726421,21.402845],[-157.724324,21.403311],[-157.723794,21.40329],[-157.723286,21.403227],[-157.722735,21.403121],[-157.722544,21.403036],[-157.721845,21.401596],[-157.721083,21.399541],[-157.7189,21.3961],[-157.7089,21.3833],[-157.7087,21.3793],[-157.7126,21.3689],[-157.7106,21.3585],[-157.7088,21.3534],[-157.6971,21.3364],[-157.6938,21.3329],[-157.6619,21.3131],[-157.6518,21.3139],[-157.652629,21.308709],[-157.6537,21.302],[-157.6946,21.2739],[-157.6944,21.2665],[-157.7001,21.264],[-157.7097,21.2621],[-157.7139,21.2638],[-157.7142,21.2665],[-157.7114,21.272],[-157.7122,21.2814],[-157.7143,21.2845],[-157.7213,21.2869],[-157.7572,21.278],[-157.765,21.2789],[-157.7782,21.2735],[-157.7931,21.2604],[-157.8096,21.2577],[-157.8211,21.2606],[-157.8241,21.2646],[-157.8253,21.2714],[-157.8319,21.2795],[-157.8457,21.29],[-157.89,21.3065],[-157.894518,21.319632],[-157.898969,21.327391],[-157.90482,21.329172],[-157.918939,21.318615],[-157.917921,21.313781],[-157.913469,21.310983],[-157.910925,21.305768],[-157.952263,21.306531],[-157.950736,21.312509],[-157.951881,21.318742],[-157.967971,21.327986],[-157.973334,21.327426],[-157.989424,21.317984],[-158.0245,21.3093],[-158.044485,21.306011]]]]},\"properties\":{\"name\":\"Hawaii\",\"nation\":\"USA  \"}}]}","volume":"120","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e54ae4b060350a15d0a9","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":739329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laut, Megan","contributorId":140110,"corporation":false,"usgs":false,"family":"Laut","given":"Megan","email":"","affiliations":[{"id":13385,"text":"University of Hawaii at Hilo Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":739330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vetter, John P.","contributorId":88568,"corporation":false,"usgs":true,"family":"Vetter","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":739331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, Steve J. 0000-0002-9290-5629","orcid":"https://orcid.org/0000-0002-9290-5629","contributorId":169663,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":739332,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197952,"text":"70197952 - 2018 - Pharmaceuticals, hormones, pesticides, and other bioactive contaminants in water, sediment, and tissue from Rocky Mountain National Park, 2012–2013","interactions":[],"lastModifiedDate":"2018-06-28T12:04:10","indexId":"70197952","displayToPublicDate":"2018-06-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Pharmaceuticals, hormones, pesticides, and other bioactive contaminants in water, sediment, and tissue from Rocky Mountain National Park, 2012–2013","docAbstract":"<p><span>Pharmaceuticals, hormones, pesticides, and other bioactive contaminants (BCs) are commonly detected in surface water and bed sediment in urban and suburban areas, but these contaminants are understudied in remote locations. In Rocky Mountain National Park (RMNP), Colorado, USA, BCs may threaten the reproductive success and survival of native aquatic species, benthic communities, and pelagic food webs. In 2012–2013, 67 water, 57 sediment, 63 fish, 10 frog, and 12 quality-control samples (8 water and 4 sediment) were collected from 20 sites in RMNP. Samples were analyzed for 369 parameters including 149 pharmaceuticals, 22 hormones, 137 pesticides, and 61 other chemicals or conditions to provide a representative assessment of BC occurrence within RMNP. Results indicate that BCs were detected in water and/or sediment from both remote and more accessible locations in RMNP. The most commonly detected BCs in water were caffeine, camphor, para-cresol, and DEET; and the most commonly detected BCs in sediment were indole, 3-methyl-1H-indole, para-cresol, and 2,6-dimethyl-naphthalene. Some detected contaminants, including carbaryl, caffeine, and oxycodone, are clearly attributable to direct local human input, whereas others may be transported into the park atmospherically (e.g., atrazine) or have local natural sources (e.g., para-cresol). One or more pharmaceuticals were detected in at least 1 sample from 15 of 20 sites. Most of the 29 detected pharmaceuticals are excreted primarily in human urine, not feces. Elevated net estrogenicity was observed in 18% of water samples, and elevated vitellogenin in blood was observed in 12% of male trout, both evidence of potential endocrine disruption. Hormone concentrations in sediment tended to be greater than concentrations in water. Most BCs were observed at concentrations below those not expected to pose adverse effects to aquatic life. Results indicate that even in remote locations aquatic wildlife can be exposed to pharmaceuticals, hormones, pesticides, and other bioactive contaminants.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.06.150","usgsCitation":"Battaglin, W., Bradley, P.M., Iwanowicz, L.R., Journey, C.A., Walsh, H., and Blazer, V., 2018, Pharmaceuticals, hormones, pesticides, and other bioactive contaminants in water, sediment, and tissue from Rocky Mountain National Park, 2012–2013: Science of the Total Environment, v. 643, p. 651-673, https://doi.org/10.1016/j.scitotenv.2018.06.150.","productDescription":"23 p.","startPage":"651","endPage":"673","ipdsId":"IP-093530","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":460883,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.06.150","text":"Publisher Index Page"},{"id":437843,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XUYMQT","text":"USGS data release","linkHelpText":"Occurrence data for organic compounds and bioactive chemicals in water, sediment and tissue from Rocky Mountain National Park, 2012-13"},{"id":355409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.8333,\n              40.1667\n            ],\n            [\n              -105.5,\n              40.1667\n            ],\n            [\n              -105.5,\n              40.5833\n            ],\n            [\n              -105.8333,\n              40.5833\n            ],\n            [\n              -105.8333,\n              40.1667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"643","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e54be4b060350a15d0ad","contributors":{"authors":[{"text":"Battaglin, William A. 0000-0001-7287-7096","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":204638,"corporation":false,"usgs":true,"family":"Battaglin","given":"William A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":739303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":189681,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Heather L. 0000-0001-6392-4604","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":203238,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":739306,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":739305,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197953,"text":"70197953 - 2018 - Sulfur isotopes of host strata for Howards Pass (Yukon–Northwest Territories) Zn-Pb deposits implicate anaerobic oxidation of methane, not basin stagnation","interactions":[],"lastModifiedDate":"2018-06-28T12:00:17","indexId":"70197953","displayToPublicDate":"2018-06-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Sulfur isotopes of host strata for Howards Pass (Yukon–Northwest Territories) Zn-Pb deposits implicate anaerobic oxidation of methane, not basin stagnation","docAbstract":"<p><span>A new sulfur isotope stratigraphic profile has been developed for Ordovician-Silurian mudstones that host the Howards Pass Zn-Pb deposits (Canada) in an attempt to reconcile the traditional model of a stagnant euxinic basin setting with new contradictory findings. Our analyses of pyrite confirm the up-section&nbsp;</span><sup>34</sup><span>S enrichment reported previously, but additional observations show parallel depletion of carbonate<span>&nbsp;</span></span><sup>13</sup><span>C, an increase in organic carbon weight percent, and a change in pyrite morphology. Taken together, the data suggest that the<span>&nbsp;</span></span><sup>34</sup><span>S enrichment reflects a transition in the mechanism of pyrite formation during diagenesis, not isotopic evolution of a stagnant water mass. Low in the stratigraphic section, pyrite formed mainly in the sulfate reduction zone in association with organic matter–driven bacterial sulfate reduction. In contrast, starting just below the Zn-Pb mineralized horizon, pyrite formed increasingly within the sulfate-methane transition zone in association with anaerobic oxidation of methane. Our new insights on diagenesis have implications for (1) the setting of Zn-Pb ore formation, (2) the reliability of redox proxies involving metals, and (3) the source of ore sulfur for Howards Pass, and potentially for other stratiform Zn-Pb deposits contained in carbonaceous strata.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G40274.1","usgsCitation":"Johnson, C.A., Slack, J.F., Dumoulin, J.A., Kelley, K.D., and Falck, H., 2018, Sulfur isotopes of host strata for Howards Pass (Yukon–Northwest Territories) Zn-Pb deposits implicate anaerobic oxidation of methane, not basin stagnation: Geology, v. 46, no. 7, p. 619-622, https://doi.org/10.1130/G40274.1.","productDescription":"4 p.","startPage":"619","endPage":"622","ipdsId":"IP-092844","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":437841,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WS3IS0","text":"USGS data release","linkHelpText":"Isotope and chemical data for: Sulfur isotopes of host strata for Howards Pass (Yukon-Northwest Territories) Zn-Pb deposits implicate anaerobic oxidation of methane not basin stagnation"},{"id":437840,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WS3IS0","text":"USGS data release","linkHelpText":"Isotope and chemical data for: Sulfur isotopes of host strata for Howards Pass (Yukon-Northwest Territories) Zn-Pb deposits implicate anaerobic oxidation of methane not basin stagnation"},{"id":355408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Northwest Territories, Yukon","otherGeospatial":" Howards Pass","volume":"46","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-07","publicationStatus":"PW","scienceBaseUri":"5b46e54be4b060350a15d0ab","contributors":{"authors":[{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":739307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":739308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":739309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, Karen Duttweiler 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":192758,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"Duttweiler","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":739310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falck, Hendrik","contributorId":167705,"corporation":false,"usgs":false,"family":"Falck","given":"Hendrik","email":"","affiliations":[{"id":24811,"text":"NWT Geoscience Office, Yellowknife, Canada","active":true,"usgs":false}],"preferred":false,"id":739311,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198103,"text":"70198103 - 2018 - Effect of climate change on disease spread in wildlife","interactions":[],"lastModifiedDate":"2020-08-19T20:23:59.281937","indexId":"70198103","displayToPublicDate":"2018-06-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"36","title":"Effect of climate change on disease spread in wildlife","docAbstract":"A growing body of evidence indicates that climate change alone, or acting synergistically with current anthropogenic threats, is affecting the health of wild populations of aquatic and terrestrial wildlife. Measurable by-products of climate change include elevated atmospheric concentrations of greenhouse gases, higher average global temperatures; variations in global precipitation patterns, rising and warming oceans, altered hydrographs of rivers, and increased mid-continental drying during summer. These consequences affect the terrestrial environment through shifts in phenology, vegetation cover, and fire regimes. Warmer ocean temperatures, increased acidification, rise in sea levels, and reduction in sea ice cover are also leading to widespread ecological changes in marine systems.  Wildlife populations face a variety of climate-related pressures, such as changes in animal distribution or density, limitation of food resources, and alteration to critical habitats. \nThe increased potential for emergence and resurgence of diseases that are responsive to environmental conditions also has implications for wildlife populations. Shifts in temperature or other climatic factors may directly affect the incidence of disease in wildlife by altering host-pathogen interactions, promoting vector populations or allowing new ranges for vectors, or reducing development times for parasites. A number of examples from both field and laboratory studies have demonstrated a clear link between warming environments and disease spread. Many climate-related environmental changes also influence wildlife health indirectly. For example, increasing temperatures, in combination with shifts in rainfall and humidity, may aggravate current trends for water resource limitation and habitat degradation or destruction and lead to increased crowding of animal populations, thereby promoting transmission opportunities of pathogens within populations or across species. \nAlthough it may be difficult to disentangle the influences of other anthropogenic changes from the direct effects of warming, some ecosystems provide especially useful models for studying climate-related disease spread in wildlife. For example, the effects of climate change on parasite dynamics may be easily observed in the Arctic, where environmental changes are occurring rapidly, anthropogenic influences are relatively limited, and biodiversity is generally low. Marine ecosystems are also undergoing rapid rates of change and may be vulnerable to a variety of natural and anthropogenic perturbations. Although many factors affect the health of organisms in ocean environments, temperature has been clearly linked to an increase in disease prevalence among sessile organisms such as corals. \nIn this chapter, we discuss observed and predicted changes to wildlife health resulting from climate change. Our review will not include all aspects of wildlife health, but will instead focus on established or suspected links between climate drivers and disease spread and discuss examples from the current literature. Here, we define disease spread to include: 1) change in geographical or altitudinal distribution of pathogens, parasites, and vectors and the diseases they cause; 2) change in prevalence or severity of disease; and 3) emergence of novel diseases. Additionally, because wildlife species serve as reservoirs for zoonotic diseases that affect both animals and humans, we include select examples of the effect of climate change on the capacity of wildlife to harbor and spread these disease agents.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fowler's Zoo and Wild Animal Medicine Current Therapy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","isbn":"9780323552288","usgsCitation":"Hofmeister, E.K., and Van Hemert, C.R., 2018, Effect of climate change on disease spread in wildlife, chap. 36 <i>of</i> Fowler's Zoo and Wild Animal Medicine Current Therapy, p. 247-254.","productDescription":"8 p.","startPage":"247","endPage":"254","ipdsId":"IP-084742","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":355686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355684,"type":{"id":15,"text":"Index Page"},"url":"https://www.us.elsevierhealth.com/miller-fowlers-zoo-and-wild-animal-medicine-current-therapy-volume-9-9780323552288.html"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc41ce4b0f5d57878e9f9","contributors":{"authors":[{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":740032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":740033,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197941,"text":"70197941 - 2018 - Why aftershock duration matters for probabilistic seismic hazard assessment","interactions":[],"lastModifiedDate":"2018-07-02T10:01:50","indexId":"70197941","displayToPublicDate":"2018-06-28T00:00:00","publicationYear":"2018","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":"Why aftershock duration matters for probabilistic seismic hazard assessment","docAbstract":"Most hazard assessments assume that high background seismicity rates indicate a higher probability of large shocks and, therefore, of strong shaking. However, in slowly deforming regions, such as eastern North America, Australia, and inner Honshu, this assumption breaks down if the seismicity clusters are instead aftershocks of historic and prehistoric mainshocks. Here, therefore we probe the circumstances under which aftershocks can last for 100–1000 years. Basham and Adams (1983) and Ebel et al. (2000) proposed that intraplate seismicity in eastern North America could be aftershocks of mainshocks that struck hundreds of years beforehand, a view consonant with rate–state friction (Dieterich, 1994), in which aftershock duration varies inversely with fault‐stressing rate. To test these hypotheses, we estimate aftershock durations of the 2011  Mw  9 Tohoku‐Oki rupture at 12 sites up to 250 km from the source, as well as for the near‐fault aftershocks of eight large Japanese mainshocks, sampling faults slipping 0.01 to  80  mm/yr . Whereas aftershock productivity increases with mainshock magnitude, we find that aftershock duration, the time until the aftershock rate decays to the premainshock rate, does not. Instead, aftershock sequences lasted a month on the fastest‐slipping faults and are projected to persist for more than 2000 years on the slowest. Thus, long aftershock sequences can misguide and inflate hazard assessments in intraplate regions if misinterpreted as background seismicity, whereas areas between seismicity clusters may instead harbor a higher chance of large mainshocks, the opposite of what is being assumed today.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170270","usgsCitation":"Shinji Toda, and Stein, R.S., 2018, Why aftershock duration matters for probabilistic seismic hazard assessment: Bulletin of the Seismological Society of America, v. 108, no. 3A, p. 1414-1426, https://doi.org/10.1785/0120170270.","productDescription":"13 p.","startPage":"1414","endPage":"1426","ipdsId":"IP-063006","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":355417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[145.39798,-40.79255],[146.36412,-41.1377],[146.90858,-41.00055],[147.68926,-40.80826],[148.28907,-40.87544],[148.35986,-42.06245],[148.0173,-42.40702],[147.91405,-43.21152],[147.56456,-42.93769],[146.87034,-43.6346],[146.66333,-43.58085],[146.04838,-43.54974],[145.43193,-42.69378],[145.29509,-42.03361],[144.71807,-41.16255],[144.74375,-40.70398],[145.39798,-40.79255]]],[[[143.56181,-13.76366],[143.9221,-14.54831],[144.56371,-14.17118],[144.89491,-14.59446],[145.37472,-14.98498],[145.27199,-15.42821],[145.48526,-16.28567],[145.63703,-16.78492],[145.8889,-16.90693],[146.16031,-17.76165],[146.06367,-18.28007],[146.38748,-18.95827],[147.47108,-19.48072],[148.1776,-19.95594],[148.84841,-20.39121],[148.71747,-20.63347],[149.28942,-21.26051],[149.67834,-22.34251],[150.07738,-22.12278],[150.48294,-22.55614],[150.72727,-22.4024],[150.89955,-23.46224],[151.60918,-24.07626],[152.07354,-24.45789],[152.8552,-25.2675],[153.13616,-26.07117],[153.16195,-26.64132],[153.09291,-27.2603],[153.56947,-28.11007],[153.51211,-28.99508],[153.3391,-29.4582],[153.06924,-30.35024],[153.0896,-30.92364],[152.89158,-31.64045],[152.45,-32.55],[151.70912,-33.04134],[151.34397,-33.81602],[151.01056,-34.31036],[150.71414,-35.17346],[150.32822,-35.67188],[150.07521,-36.42021],[149.94612,-37.10905],[149.99728,-37.42526],[149.42388,-37.77268],[148.30462,-37.80906],[147.38173,-38.21922],[146.92212,-38.60653],[146.31792,-39.03576],[145.48965,-38.59377],[144.87698,-38.41745],[145.03221,-37.89619],[144.48568,-38.08532],[143.60997,-38.80947],[142.74543,-38.53827],[142.17833,-38.38003],[141.60658,-38.30851],[140.63858,-38.01933],[139.99216,-37.40294],[139.80659,-36.6436],[139.57415,-36.13836],[139.08281,-35.73275],[138.12075,-35.6123],[138.44946,-35.12726],[138.20756,-34.38472],[137.71917,-35.07683],[136.82941,-35.26053],[137.35237,-34.70734],[137.50389,-34.13027],[137.89012,-33.64048],[137.81033,-32.90001],[136.99684,-33.75277],[136.37207,-34.09477],[135.98904,-34.89012],[135.20821,-34.47867],[135.23922,-33.94795],[134.61342,-33.22278],[134.0859,-32.84807],[134.2739,-32.61723],[132.99078,-32.01122],[132.28808,-31.98265],[131.32633,-31.4958],[129.53579,-31.59042],[128.24094,-31.94849],[127.10287,-32.28227],[126.14871,-32.21597],[125.08862,-32.72875],[124.22165,-32.95949],[124.02895,-33.48385],[123.65967,-33.89018],[122.81104,-33.91447],[122.18306,-34.0034],[121.29919,-33.82104],[120.58027,-33.93018],[119.8937,-33.97607],[119.2989,-34.50937],[119.00734,-34.46415],[118.50572,-34.74682],[118.02497,-35.06473],[117.29551,-35.02546],[116.62511,-35.0251],[115.56435,-34.38643],[115.02681,-34.19652],[115.04862,-33.62343],[115.54512,-33.48726],[115.71467,-33.25957],[115.67938,-32.90037],[115.80165,-32.20506],[115.68961,-31.61244],[115.16091,-30.60159],[114.99704,-30.03072],[115.04004,-29.4611],[114.64197,-28.81023],[114.6165,-28.5164],[114.17358,-28.11808],[114.04888,-27.33477],[113.4775,-26.54313],[113.33895,-26.11655],[113.77836,-26.54903],[113.44096,-25.62128],[113.9369,-25.91123],[114.23285,-26.29845],[114.21616,-25.78628],[113.72126,-24.99894],[113.62534,-24.68397],[113.39352,-24.38476],[113.50204,-23.80635],[113.70699,-23.56022],[113.84342,-23.05999],[113.73655,-22.47548],[114.14976,-21.75588],[114.22531,-22.51749],[114.64776,-21.82952],[115.46017,-21.49517],[115.94737,-21.06869],[116.71162,-20.70168],[117.16632,-20.6236],[117.44155,-20.7469],[118.22956,-20.37421],[118.83609,-20.26331],[118.98781,-20.0442],[119.25249,-19.95294],[119.80523,-19.97651],[120.85622,-19.68371],[121.39986,-19.23976],[121.65514,-18.70532],[122.24167,-18.19765],[122.28662,-17.7986],[122.31277,-17.25497],[123.01257,-16.4052],[123.43379,-17.26856],[123.85934,-17.06904],[123.50324,-16.59651],[123.81707,-16.11132],[124.25829,-16.32794],[124.37973,-15.56706],[124.92615,-15.0751],[125.16728,-14.6804],[125.67009,-14.51007],[125.6858,-14.23066],[126.12515,-14.34734],[126.14282,-14.09599],[126.58259,-13.95279],[127.06587,-13.81797],[127.80463,-14.27691],[128.35969,-14.86917],[128.98554,-14.87599],[129.62147,-14.96978],[129.4096,-14.42067],[129.88864,-13.6187],[130.33947,-13.35738],[130.18351,-13.10752],[130.6178,-12.53639],[131.22349,-12.18365],[131.73509,-12.30245],[132.5753,-12.11404],[132.55721,-11.60301],[131.8247,-11.27378],[132.35722,-11.12852],[133.01956,-11.37641],[133.55085,-11.78652],[134.39307,-12.04237],[134.67863,-11.94118],[135.29849,-12.24861],[135.88269,-11.96227],[136.25838,-12.04934],[136.49248,-11.85721],[136.95162,-12.35196],[136.68512,-12.88722],[136.30541,-13.29123],[135.96176,-13.32451],[136.07762,-13.72428],[135.78384,-14.22399],[135.42866,-14.71543],[135.50018,-14.99774],[136.29517,-15.55026],[137.06536,-15.87076],[137.58047,-16.21508],[138.30322,-16.8076],[138.58516,-16.80662],[139.10854,-17.06268],[139.26057,-17.3716],[140.21525,-17.7108],[140.87546,-17.36907],[141.07111,-16.83205],[141.2741,-16.38887],[141.39822,-15.84053],[141.70218,-15.04492],[141.56338,-14.56133],[141.63552,-14.27039],[141.51987,-13.69808],[141.65092,-12.94469],[141.84269,-12.74155],[141.68699,-12.40761],[141.92863,-11.87747],[142.11849,-11.32804],[142.14371,-11.04274],[142.51526,-10.66819],[142.79731,-11.15735],[142.86676,-11.78471],[143.11595,-11.90563],[143.15863,-12.32566],[143.52212,-12.83436],[143.59716,-13.40042],[143.56181,-13.76366]]]]},\"properties\":{\"name\":\"Australia\"}}]}","volume":"108","issue":"3A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-01","publicationStatus":"PW","scienceBaseUri":"5b46e54be4b060350a15d0af","contributors":{"authors":[{"text":"Shinji Toda","contributorId":206049,"corporation":false,"usgs":false,"family":"Shinji Toda","affiliations":[{"id":37229,"text":"IRIDeS, Tohoku University, Sendai, Japan","active":true,"usgs":false}],"preferred":false,"id":739258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, Ross S. 0000-0001-7586-3933 rstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7586-3933","contributorId":2604,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","email":"rstein@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":739257,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70213051,"text":"70213051 - 2018 - Discussion of “Oso, Washington, landslide of March 22, 2014: Dynamic analysis” by Jordan Aaron, Oldrich Hungr, Timothy D. Stark, and Ahmed K. Baghdady","interactions":[],"lastModifiedDate":"2020-09-08T16:20:33.685647","indexId":"70213051","displayToPublicDate":"2018-06-27T11:17:55","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Discussion of “Oso, Washington, landslide of March 22, 2014: Dynamic analysis” by Jordan Aaron, Oldrich Hungr, Timothy D. Stark, and Ahmed K. Baghdady","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1\"><p>The original paper under discussion states that it “explains the spectacular mobility of the 2014 Oso landslide.” It addresses this objective by using two versions of the DAN model to compute the distribution of deposits produced by the landslide. The main purpose of this discussion is to demonstrate that the authors’ model is incapable of explaining the Oso landslide’s mobility—even though the model can be tuned to mimic the landslide’s distribution of deposits. An ancillary purpose is to contrast the authors’ model with the Oso landslide model of Iverson et&nbsp;al. (2015) and Iverson and George (2016), and to rebut false statements that the authors made about that model.</p></div>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)GT.1943-5606.0001933","usgsCitation":"Iverson, R.M., 2018, Discussion of “Oso, Washington, landslide of March 22, 2014: Dynamic analysis” by Jordan Aaron, Oldrich Hungr, Timothy D. Stark, and Ahmed K. Baghdady: Journal of Geotechnical and Geoenvironmental Engineering, 07018022, 3 p., https://doi.org/10.1061/(ASCE)GT.1943-5606.0001933.","productDescription":"07018022, 3 p.","ipdsId":"IP-088982","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":378198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Oso","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.9753646850586,\n              48.24113823848043\n            ],\n            [\n              -121.88369750976562,\n              48.24113823848043\n            ],\n            [\n              -121.88369750976562,\n              48.29906866875412\n            ],\n            [\n              -121.9753646850586,\n              48.29906866875412\n            ],\n            [\n              -121.9753646850586,\n              48.24113823848043\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":798079,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70218238,"text":"70218238 - 2018 - Geomorphic expression of rapid Holocene silicic magma reservoir growth beneath Laguna del Maule, Chile","interactions":[],"lastModifiedDate":"2021-02-19T16:54:46.347948","indexId":"70218238","displayToPublicDate":"2018-06-27T10:48:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic expression of rapid Holocene silicic magma reservoir growth beneath Laguna del Maule, Chile","docAbstract":"<p><span>Large rhyolitic volcanoes pose a hazard, yet the processes and signals foretelling an eruption are obscure. Satellite geodesy has revealed surface inflation signaling unrest within magma reservoirs underlying a few rhyolitic volcanoes. Although seismic, electrical, and potential field methods may illuminate the current configuration and state of these reservoirs, they cannot fully address the processes by which they grow and evolve on geologic time scales. We combine measurement of a deformed paleoshore surface, isotopic dating of volcanism and surface exposure, and modeling to determine the rate of growth of a rhyolite-producing magma reservoir. The numerical approach builds on a magma intrusion model developed to explain the current, decade-long, surface inflation at &gt;20 cm/year. Assuming that the observed 62-m uplift reflects several non-eruptive intrusions of magma, each similar to the unrest over the past decade, we find that ~13 km</span><sup>3</sup><span>&nbsp;of magma recharged the reservoir at a depth of ~7 km during the Holocene, accompanied by the eruption of ~9 km</span><sup>3</sup><span>&nbsp;of rhyolite. The long-term rate of magma input is consistent with reservoir freezing and pluton formation. Yet, the unique set of observations considered here implies that large reservoirs can be incubated and grow at shallow depth via episodic high-flux magma injections. These replenishment episodes likely drive rapid inflation, destabilize cooling systems, propel rhyolitic eruptions, and thus should be carefully monitored.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.aat1513","usgsCitation":"Singer, B., Le Mével, H., Licciardi, J.M., Córdova, L., Tikoff, B., Garibaldi, N., Andersen, N., Diefenbach, A., and Feigl, K.L., 2018, Geomorphic expression of rapid Holocene silicic magma reservoir growth beneath Laguna del Maule, Chile: Science Advances, v. 4, no. 6, eaat1513, 11 p., https://doi.org/10.1126/sciadv.aat1513.","productDescription":"eaat1513, 11 p.","ipdsId":"IP-096901","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aat1513","text":"Publisher Index Page"},{"id":383366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Laguna del Maule","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.63316345214844,\n              -36.1489646358883\n            ],\n            [\n              -70.42167663574219,\n              -36.1489646358883\n            ],\n            [\n              -70.42167663574219,\n              -35.941879837503265\n            ],\n            [\n              -70.63316345214844,\n              -35.941879837503265\n            ],\n            [\n              -70.63316345214844,\n              -36.1489646358883\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Singer, Brad S.","contributorId":251796,"corporation":false,"usgs":false,"family":"Singer","given":"Brad S.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":810591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Le Mével, Hélène","contributorId":251797,"corporation":false,"usgs":false,"family":"Le Mével","given":"Hélène","affiliations":[{"id":30217,"text":"Carnegie Institution for Science","active":true,"usgs":false}],"preferred":false,"id":810592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Licciardi, Joseph M.","contributorId":251798,"corporation":false,"usgs":false,"family":"Licciardi","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":810593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Córdova, Loreto","contributorId":251799,"corporation":false,"usgs":false,"family":"Córdova","given":"Loreto","affiliations":[{"id":49668,"text":"Servicio Nacional de Geología y Minería","active":true,"usgs":false}],"preferred":false,"id":810594,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tikoff, Basil","contributorId":251800,"corporation":false,"usgs":false,"family":"Tikoff","given":"Basil","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":810595,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garibaldi, Nicolas","contributorId":251801,"corporation":false,"usgs":false,"family":"Garibaldi","given":"Nicolas","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":810596,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Andersen, Nathan L.","contributorId":251802,"corporation":false,"usgs":false,"family":"Andersen","given":"Nathan L.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":810597,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":204743,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810598,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Feigl, Kurt L.","contributorId":251803,"corporation":false,"usgs":false,"family":"Feigl","given":"Kurt","email":"","middleInitial":"L.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":810599,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70210144,"text":"70210144 - 2018 - Moving from eco-forecasts to eco-projections","interactions":[],"lastModifiedDate":"2020-05-15T14:35:01.23441","indexId":"70210144","displayToPublicDate":"2018-06-27T09:33:23","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Moving from eco-forecasts to eco-projections","docAbstract":"Ecological models can provide estimates of future conditions that are useful for decision-making, including long-term planning and resource prioritization. However, these models often rely on assumptions about ecological relationships and trajectories, forcings (e.g., biophysical conditions), and management approaches that may not be explicitly considered. To make assumptions more transparent, disciplines such as economics, demographics, climatology, and national intelligence make a fairly clear and consistent distinction between “forecasts” and “projections”. Forecasts are typically more near-term and rely on extending existing relationships and trends to estimate the most likely future conditions; whereas projections evaluate conditions under multiple scenarios that are based on an array of assumptions, often going further out in time. Consistently referring to ecological models of future conditions as either “eco-forecasts” or “eco-projections” could help make modelling assumptions more transparent and thus more effectively focus their application across landscapes and through time. To the extent that ecological modelling is used to support management, policy, and programmatic decisions, practitioners can ask the following. If the modelling is an eco-forecast, is it worth considering different initial conditions, trajectories, or forcings based on alternative scenarios? If the modelling is an eco-projection, are the underlying assumptions and future scenarios explicit, and are decisions properly tempered with respect to those modelling specifications? We demonstrate these concepts and methods for conducting eco-projections through examples from invasion biology and climate adaptation.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Congress on Environmental Modelling and Software","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"9th International Congress on Environmental Modelling and Software","conferenceDate":"June 27, 2018","conferenceLocation":"Fort Collins, Colorado","language":"English","publisher":"BYU ScholarsArchive","usgsCitation":"Miller, B., Morisette, J., Schuurman, G.W., and Reaser, J.K., 2018, Moving from eco-forecasts to eco-projections, <i>in</i> International Congress on Environmental Modelling and Software, Fort Collins, Colorado, June 27, 2018, 4 p.","productDescription":"4 p.","ipdsId":"IP-097315","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":374873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":374866,"type":{"id":15,"text":"Index Page"},"url":"https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4260&context=iemssconference"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":195418,"corporation":false,"usgs":true,"family":"Miller","given":"Brian W.","email":"bwmiller@usgs.gov","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":789291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morisette, Jeffrey T.","contributorId":219733,"corporation":false,"usgs":false,"family":"Morisette","given":"Jeffrey T.","affiliations":[{"id":40056,"text":"National Invasive Species Council","active":true,"usgs":false}],"preferred":false,"id":789292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuurman, Gregor W.","contributorId":173975,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":789293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reaser, Jamie K","contributorId":223683,"corporation":false,"usgs":false,"family":"Reaser","given":"Jamie","email":"","middleInitial":"K","affiliations":[{"id":39207,"text":"Department of the Interior","active":true,"usgs":false}],"preferred":false,"id":789294,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197933,"text":"70197933 - 2018 - Before-after, control-impact analysis of evidence for the impacts of water level on Walleye, Northern Pike and Yellow Perch in lakes of the Rainy-Namakan complex (MN, USA and ON, CA)","interactions":[],"lastModifiedDate":"2018-06-27T13:26:27","indexId":"70197933","displayToPublicDate":"2018-06-27T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Before-after, control-impact analysis of evidence for the impacts of water level on Walleye, Northern Pike and Yellow Perch in lakes of the Rainy-Namakan complex (MN, USA and ON, CA)","docAbstract":"Water level (WL) fluctuations in lakes influence many aspects of ecosystem processes.\nConcern about the potential impact of WL fluctuations on fisheries was one of the factors\nthat motivated the decision in 2000 to alter the management of WL in the Rainy-Namakan\nreservoir complex (on the border between the U.S. state of Minnesota and the Canadian\nprovince of Ontario). We used a Before-After, Control-Impact (BACI) framework to identify\npotential impacts of the change in WL management to Walleye, Northern Pike and Yellow\nPerch catch per unit effort (CPUE). The CPUE of these species from 1990±1999 and from\n2005±2014 were compared in four impact lakes (Lake Kabetogama, Namakan Lake, Rainy\nLake and Sand Point Lake) and two control lakes (Lake of the Woods and Lake Vermilion)\nusing a simple Bayesian model. Changes in fish CPUE in the impact lakes were often similar\nto changes that occurred in at least one control lake. The only change that was not similar to\nchanges in control lakes was an increase of Yellow Perch in Lake Kabetogama. The two\ncontrol lakes often differed substantially from each other, such that if only one had been\navailable our conclusions about the role of WL management on fisheries would be very different.\nIn general, identifying cause-and-effect relationships in observational field data is\nvery difficult, and the BACI analysis used here does not specify a causative mechanism,\nso co-occurring environmental and management changes may obscure the effect of WL\nmanagement.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0198612","usgsCitation":"Larson, J.H., Maki, R., Vondra, B.A., and Peterson, K.E., 2018, Before-after, control-impact analysis of evidence for the impacts of water level on Walleye, Northern Pike and Yellow Perch in lakes of the Rainy-Namakan complex (MN, USA and ON, CA): PLoS ONE, v. 13, no. 6, e0198612; 10 p., https://doi.org/10.1371/journal.pone.0198612.","productDescription":"e0198612; 10 p.","ipdsId":"IP-079647","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0198612","text":"Publisher Index Page"},{"id":355391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Minnesota, Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.1083984375,\n              47.88688085106901\n            ],\n            [\n              -91.40625,\n              47.88688085106901\n            ],\n            [\n              -91.40625,\n              49.809631563563094\n            ],\n            [\n              -96.1083984375,\n              49.809631563563094\n            ],\n            [\n              -96.1083984375,\n              47.88688085106901\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-07","publicationStatus":"PW","scienceBaseUri":"5b46e54ce4b060350a15d0b1","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":739223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, Ryan P.","contributorId":190131,"corporation":false,"usgs":false,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":739224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vondra, Benjamin A.","contributorId":206035,"corporation":false,"usgs":false,"family":"Vondra","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":739225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Kevin E.","contributorId":177489,"corporation":false,"usgs":false,"family":"Peterson","given":"Kevin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":739226,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197930,"text":"70197930 - 2018 - Cinnamon gulch revisited: Another look at separating natural and mining-impacted contributions to instream metal load","interactions":[],"lastModifiedDate":"2018-06-27T09:47:23","indexId":"70197930","displayToPublicDate":"2018-06-27T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Cinnamon gulch revisited: Another look at separating natural and mining-impacted contributions to instream metal load","docAbstract":"Baseline, premining data for streams draining abandoned mine lands is virtually non existent, and indirect methods for estimating premining conditions are needed to establish realistic, cost effective cleanup goals. One such indirect method is the proximal analog approach, in which premining conditions are estimated using data from nearby mineralized areas that are unaffected by mining. In this paper, we combine the proximal analog approach with a quantitative mass balance framework using data from a spatially-detailed synoptic sampling campaign. The combined approach is applied to Cinnamon Gulch, a headwater stream with numerous draining adits. Synoptic sampling results indicate that three of the top five metal sources are affected by mining activities, and stream segments draining these sources account for a large percentage of overall metal loading within the study reach. These initial calculations overestimate the effects of mining, as the affected stream segments were likely acidic and metal rich prior to mining. Premining loads and concentrations were therefore determined through a replacement approach in which the chemistry of each mining-affected stream segment is revised based on proximal analog concentrations. The revised loading profiles indicate that 15–17% of the Al, Cd, Cu, Mn, Ni, and Zn loads are attributable to mining, whereas the mining contribution for Pb is 40%. Premining concentrations of Al, Cd, Cu, Mn, and Zn are estimated to be in excess of aquatic life standards over the length of the study reach.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2018.04.010","usgsCitation":"Runkel, R.L., Verplanck, P., Kimball, B., and Walton-Day, K., 2018, Cinnamon gulch revisited: Another look at separating natural and mining-impacted contributions to instream metal load: Applied Geochemistry, v. 95, p. 206-217, https://doi.org/10.1016/j.apgeochem.2018.04.010.","productDescription":"12 p.","startPage":"206","endPage":"217","ipdsId":"IP-093823","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":355388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Cinnamon Gulch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.171875,\n              39.27053717095511\n            ],\n            [\n              -105.40008544921875,\n              39.27053717095511\n            ],\n            [\n              -105.40008544921875,\n              39.791654835253425\n            ],\n            [\n              -106.171875,\n              39.791654835253425\n            ],\n            [\n              -106.171875,\n              39.27053717095511\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"95","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e54de4b060350a15d0b5","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":202205,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimball, Briant bkimball@usgs.gov","contributorId":206033,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":184043,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739211,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197932,"text":"70197932 - 2018 - Distribution and foraging patterns of common loons on Lake Michigan with implications for exposure to type E avian botulism","interactions":[],"lastModifiedDate":"2018-06-27T13:29:25","indexId":"70197932","displayToPublicDate":"2018-06-27T00:00:00","publicationYear":"2018","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":"Distribution and foraging patterns of common loons on Lake Michigan with implications for exposure to type E avian botulism","docAbstract":"<p>Common loons (<i>Gavia immer</i>) staging on the Great Lakes during fall migration are at risk to episodic outbreaks of type E botulism. Information on distribution, foraging patterns, and exposure routes of loons are needed for understanding the physical and ecological factors that contribute to avian botulism outbreaks. Aerial surveys were conducted to document the spatiotemporal distribution of common loons on Lake Michigan during falls 2011–2013. In addition, satellite telemetry and archival geolocator tags were used to determine the distribution and foraging patterns of individual common loons while using Lake Michigan during fall migration. Common loon distribution observed during aerial surveys and movements of individual radiomarked and/or geotagged loons suggest a seasonal pattern of use, with early fall use of Green Bay and northern Lake Michigan followed by a shift in distribution to southern Lake Michigan before moving on to wintering areas. Common loons tended to occupy offshore areas of Lake Michigan and, on average, spent the majority of daylight hours foraging. Dive depths were as deep as 60 m and dive characteristics suggested that loons were primarily foraging on benthic prey. A recent study concluded that round gobies (<i>Neogobius melanostomus</i>) are an important prey item of common loons and may be involved in transmission of botulinum neurotoxin type E. Loon distribution coincides with the distribution of dreissenid mussel biomass, an important food resource for round gobies. Our observations support speculation that energy transfer to higher trophic levels via gobies may occur in deep-water habitats, along with transfer of botulinum neurotoxin.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.02.004","usgsCitation":"Kenow, K.P., Houdek, S.C., Fara, L., Gray, B.R., Lubinski, B.R., Heard, D.J., Meyer, M.W., Fox, T.J., and Kratt, R., 2018, Distribution and foraging patterns of common loons on Lake Michigan with implications for exposure to type E avian botulism: Journal of Great Lakes Research, v. 44, no. 3, p. 497-513, https://doi.org/10.1016/j.jglr.2018.02.004.","productDescription":"17 p.","startPage":"497","endPage":"513","ipdsId":"IP-088188","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468628,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2018.02.004","text":"Publisher Index Page"},{"id":437844,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70G3JGG","text":"USGS data release","linkHelpText":"Distribution and foraging patterns of common loons on Lake Michigan with implications for exposure to avian botulism: Data"},{"id":355389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-83.880387,41.720089],[-86.824828,41.76024],[-86.24971,42.480212],[-86.226305,42.988284],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.110884,45.526285],[-84.94565,45.708621],[-85.011433,45.757962],[-84.204218,45.627116],[-84.095905,45.497298],[-83.488826,45.355872],[-83.316118,45.141958],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.915976,44.070503],[-82.617955,43.768596],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.431103,41.757457],[-83.880387,41.720089]]],[[[-90.418136,46.566094],[-88.982483,46.99883],[-88.400224,47.379551],[-87.816958,47.471998],[-87.730804,47.449112],[-88.349952,47.076377],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.49484,45.999541],[-84.345451,45.946569],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-88.027103,44.578992],[-87.943801,44.529693],[-87.428144,44.890738],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192],[-90.614589,42.508053],[-91.078097,42.806526],[-91.177728,43.118733],[-91.062562,43.243165],[-91.217706,43.50055],[-96.453049,43.500415],[-96.452948,45.268925],[-96.835451,45.586129],[-96.587093,45.816445],[-96.559271,46.058272],[-96.789572,46.639079],[-96.851293,47.589264],[-97.139497,48.153108],[-97.108655,48.691484],[-97.238387,48.982631],[-95.153711,48.998903],[-95.153314,49.384358],[-94.974286,49.367738],[-94.555835,48.716207],[-93.741843,48.517347],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.735927,47.624343],[-92.058888,46.809938],[-92.025789,46.710839],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.418136,46.566094]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Michigan\",\"nation\":\"USA  \"}}]}","volume":"44","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e54ce4b060350a15d0b3","contributors":{"authors":[{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":739214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houdek, Steven C. 0000-0001-9452-6596 shoudek@usgs.gov","orcid":"https://orcid.org/0000-0001-9452-6596","contributorId":4423,"corporation":false,"usgs":true,"family":"Houdek","given":"Steven","email":"shoudek@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":739215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fara, Luke J. 0000-0002-1143-4395","orcid":"https://orcid.org/0000-0002-1143-4395","contributorId":202973,"corporation":false,"usgs":true,"family":"Fara","given":"Luke J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":739216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":739217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lubinski, Brian R.","contributorId":177523,"corporation":false,"usgs":false,"family":"Lubinski","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":739218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heard, Darryl J.","contributorId":206034,"corporation":false,"usgs":false,"family":"Heard","given":"Darryl","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":739219,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meyer, Michael W.","contributorId":149111,"corporation":false,"usgs":false,"family":"Meyer","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":17645,"text":"Wisconsin Department of Natural Resources, Rhinelander, WI","active":true,"usgs":false}],"preferred":false,"id":739220,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fox, Timothy J. 0000-0002-6167-3001 tfox@usgs.gov","orcid":"https://orcid.org/0000-0002-6167-3001","contributorId":1701,"corporation":false,"usgs":true,"family":"Fox","given":"Timothy","email":"tfox@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":739221,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kratt, Robert 0000-0003-3314-7669 rkratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3314-7669","contributorId":3012,"corporation":false,"usgs":true,"family":"Kratt","given":"Robert","email":"rkratt@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":739222,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70222582,"text":"70222582 - 2018 - Combining conflicting Bayesian models to develop paleoseismic records—An example from the Wasatch Fault Zone, Utah","interactions":[],"lastModifiedDate":"2021-08-05T17:39:58.243013","indexId":"70222582","displayToPublicDate":"2018-06-26T12:21:20","publicationYear":"2018","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":"Combining conflicting Bayesian models to develop paleoseismic records—An example from the Wasatch Fault Zone, Utah","docAbstract":"<p><span>Bayesian statistical analyses of paleoseismic data result in the probabilistic determination of earthquake times using geochronological data evaluated in the context of a stratigraphic model. However, a fundamental problem in paleoseismology is how to use the Bayesian approach to model sparse and/or conflicting geochronological datasets, such as those derived from sites exhibiting episodic sedimentary and pedogenic processes in moderate‐ to high‐energy environments (e.g., a normal‐faulted alluvial fan). Using paleoseismic data for the Corner Canyon site on the Salt Lake City segment of the Wasatch fault zone (Utah), we develop an approach by which multiple Bayesian models are combined to generate an earthquake history at a site. This approach accommodates mutually exclusive interpretations of the geochronological data and thereby limits the influence of sparse data, stratigraphically inconsistent ages, or a single, subjective model interpretation. For the Corner Canyon site, we integrate four OxCal Bayesian models to generate a chronology of six events between&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;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>4.8</mn></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mo\">∼</span><span id=\"MathJax-Span-4\" class=\"mn\">4.8</span></span></span></span></span></span><span>&nbsp;and&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>0.5</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>ka</mi></math>\"><span id=\"MathJax-Span-5\" class=\"math\"><span><span id=\"MathJax-Span-6\" class=\"mrow\"><span id=\"MathJax-Span-7\" class=\"mo\">∼</span><span id=\"MathJax-Span-8\" class=\"mn\">0.5</span><span id=\"MathJax-Span-9\" class=\"mtext\">  </span><span id=\"MathJax-Span-10\" class=\"mi\">ka</span></span></span></span></span>⁠</span><span>. Late Holocene (post‐5&nbsp;ka) mean recurrence and vertical slip‐rate estimates are&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>0.9</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>ky</mi></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mo\">∼</span><span id=\"MathJax-Span-14\" class=\"mn\">0.9</span><span id=\"MathJax-Span-15\" class=\"mtext\">  </span><span id=\"MathJax-Span-16\" class=\"mi\">ky</span></span></span></span></span></span><span>&nbsp;(0.7–1.0&nbsp;ky; 95% confidence) and&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>1.1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>mm</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot;>yr</mi></math>\"><span id=\"MathJax-Span-17\" class=\"math\"><span><span id=\"MathJax-Span-18\" class=\"mrow\"><span id=\"MathJax-Span-19\" class=\"mn\">1.1</span><span id=\"MathJax-Span-20\" class=\"mtext\">  </span><span id=\"MathJax-Span-21\" class=\"mi\">mm</span><span id=\"MathJax-Span-22\" class=\"mo\">/</span><span id=\"MathJax-Span-23\" class=\"mi\">yr</span></span></span></span></span></span><span>&nbsp;(</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>0.8</mn><mo xmlns=&quot;&quot;>&amp;#x2013;</mo><mn xmlns=&quot;&quot;>1.7</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>mm</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot;>yr</mi></math>\"><span id=\"MathJax-Span-24\" class=\"math\"><span><span id=\"MathJax-Span-25\" class=\"mrow\"><span id=\"MathJax-Span-26\" class=\"mn\">0.8</span><span id=\"MathJax-Span-27\" class=\"mo\">–</span><span id=\"MathJax-Span-28\" class=\"mn\">1.7</span><span id=\"MathJax-Span-29\" class=\"mtext\">  </span><span id=\"MathJax-Span-30\" class=\"mi\">mm</span><span id=\"MathJax-Span-31\" class=\"mo\">/</span><span id=\"MathJax-Span-32\" class=\"mi\">yr</span></span></span></span></span></span><span>&nbsp;range), respectively. Although our method increases the uncertainty in the timing of individual earthquakes, it more objectively accounts for potential geochronological errors and different interpretations of stratigraphic age control. By relaxing the need to select a single age model, our approach yields more accurate earthquake‐timing results that will better facilitate evaluations of along‐fault event correlation and earthquake rupture length.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170302","usgsCitation":"DuRoss, C., Bennett, S.E., Briggs, R.W., Personius, S., Gold, R.D., Reitman, N., Hiscock, A.I., and Mahan, S.A., 2018, Combining conflicting Bayesian models to develop paleoseismic records—An example from the Wasatch Fault Zone, Utah: Bulletin of the Seismological Society of America, v. 108, no. 63, p. 3180-3201, https://doi.org/10.1785/0120170302.","productDescription":"22 p.","startPage":"3180","endPage":"3201","ipdsId":"IP-093673","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":387722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Wasatch Fault Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.203369140625,\n              39.58875727696545\n            ],\n            [\n              -111.357421875,\n              39.58875727696545\n            ],\n            [\n              -111.357421875,\n              40.82212357516945\n            ],\n            [\n              -112.203369140625,\n              40.82212357516945\n            ],\n            [\n              -112.203369140625,\n              39.58875727696545\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"108","issue":"63","noUsgsAuthors":false,"publicationDate":"2018-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Personius, Stephen 0000-0001-8347-7370 personius@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-7370","contributorId":150055,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reitman, Nadine G. 0000-0002-6730-2682","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":197192,"corporation":false,"usgs":false,"family":"Reitman","given":"Nadine G.","affiliations":[],"preferred":false,"id":820637,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hiscock, Adam I.","contributorId":214811,"corporation":false,"usgs":false,"family":"Hiscock","given":"Adam","email":"","middleInitial":"I.","affiliations":[{"id":17626,"text":"Utah Geological Survey","active":true,"usgs":false}],"preferred":false,"id":820638,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":820639,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
]}