{"pageNumber":"42","pageRowStart":"1025","pageSize":"25","recordCount":4111,"records":[{"id":70211581,"text":"70211581 - 2018 - Necropsy-based wild fish health assessment","interactions":[],"lastModifiedDate":"2020-07-31T13:38:52.250692","indexId":"70211581","displayToPublicDate":"2018-09-11T08:36:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2498,"text":"Journal of Visualized Experiments","active":true,"publicationSubtype":{"id":10}},"title":"Necropsy-based wild fish health assessment","docAbstract":"<p><span>Anthropogenic influences from increased nutrients and chemical contaminants, to habitat alterations and climate change, can have significant effects on fish populations. Adverse effects monitoring, utilizing biomarkers from the organismal to the molecular level, can be used to assess the cumulative effects on fishes and other organisms. Fish health has been used worldwide as an indicator of aquatic ecosystem health. The necropsy-based fish health assessment provides data on visible abnormalities and lesions, parasites, condition and organosomatic indices. These can be compared by site, season and sex, as well as temporally, to document change over time. Severity ratings can be assigned to various observations to calculate a fish health index for more quantitative assessment. A drawback of the necropsy-based assessment is that it is based on visual observations and condition factors, which are not as sensitive as tissue and subcellular biomarkers for sublethal effects. Additionally, it is rarely possible to identify causes or risk factors associated with observed abnormalities. So, for instance a raised lesion or \"tumor\" on the fins, lips or body surface may be a neoplasm. However, it could also be a response to a parasite, chronic inflammation or hyperplasia of normal cells in response to an irritant. Conversely, neoplasms, certain parasites, other infectious agents and many tissue changes are not visible and so may be underestimated. However, during the necropsy-based assessment, blood (plasma), tissues for histopathology (microscopic pathology), genomics and other molecular analyses, and otoliths for aging can be collected. These downstream analyses, together with geospatial analyses, habitat assessments, water quality and contaminant analyses can all be important in comprehensive ecosystem evaluations.</span></p>","language":"English","publisher":"JOVE","doi":"10.3791/57946","usgsCitation":"Blazer, V., Walsh, H.L., Braham, R.P., and Smith, C.R., 2018, Necropsy-based wild fish health assessment: Journal of Visualized Experiments, v. 139, e57946, 11 p., https://doi.org/10.3791/57946.","productDescription":"e57946, 11 p.","ipdsId":"IP-094627","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468416,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6235148","text":"Publisher Index Page"},{"id":376942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","contributors":{"authors":[{"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":794692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Heather L. 0000-0001-6392-4604","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":213348,"corporation":false,"usgs":false,"family":"Walsh","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":794693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braham, Ryan P. 0000-0002-2102-0989","orcid":"https://orcid.org/0000-0002-2102-0989","contributorId":204542,"corporation":false,"usgs":true,"family":"Braham","given":"Ryan","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Cheyenne R. 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":219236,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne","email":"","middleInitial":"R.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":true,"id":794695,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199179,"text":"70199179 - 2018 - Long-term evolution of sand transport through a river network: Relative influences of a dam versus natural changes in grain size from sand waves","interactions":[],"lastModifiedDate":"2018-09-20T16:17:27","indexId":"70199179","displayToPublicDate":"2018-09-09T19:59:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Long-term evolution of sand transport through a river network: Relative influences of a dam versus natural changes in grain size from sand waves","docAbstract":"<p>Temporal and spatial nonuniformity in supplies of water and sand in a river network leads to sand transport that is in local disequilibrium with the upstream sand supply. In such river networks, sand is transported downstream as elongating waves in which coupled changes in grain size and transport occur. Depending on the magnitude of each sand‐supplying event and the interval between such events, changes in bed‐sand grain size associated with sand‐wave passage may more strongly regulate sand transport than do changes in water discharge. When sand transport is controlled more by episodic resupply of sand than by discharge, upstream dam construction may exacerbate or mitigate sand‐transport disequilibria, thus leading to complicated and difficult‐to‐predict patterns of deposition and erosion. We analyzed all historical sediment‐transport data and embarked on a 4‐year program of continuous sediment‐transport measurements to describe disequilibrium sand transport in a river network. Results indicate that sand transport in long river segments can evolve over ≥50‐year timescales following rare large sand‐supplying events. These natural changes in sand transport in distal downstream river segments can be larger than those caused by an upstream dam. Because there is no way to know <i>a priori</i> whether sand transport in a river has changed in response to changes in the upstream sand supply, contemporary continuous measurements of sand transport are required for accurate sand loads and budgeting. Analysis of only historical sediment‐transport measurements, as is common in the literature, may lead to incorrect conclusions with respect to current or future sediment‐transport conditions. </p>","language":"English","publisher":"Americal Geophysical Union","doi":"10.1029/2017JF004534","usgsCitation":"Topping, D.J., Mueller, E., Schmidt, J.C., Griffiths, R.E., Dean, D.J., and Grams, P.E., 2018, Long-term evolution of sand transport through a river network: Relative influences of a dam versus natural changes in grain size from sand waves: Journal of Geophysical Research: Earth Surface, v. 123, no. 8, p. 1879-1909, https://doi.org/10.1029/2017JF004534.","productDescription":"31 p.","startPage":"1879","endPage":"1909","ipdsId":"IP-085261","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468424,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jf004534","text":"Publisher Index Page"},{"id":357144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-20","publicationStatus":"PW","scienceBaseUri":"5b98a264e4b0702d0e842e5e","contributors":{"authors":[{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, Erich R. 0000-0001-8202-154X","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":207750,"corporation":false,"usgs":false,"family":"Mueller","given":"Erich R.","affiliations":[{"id":37626,"text":"Department of Geography, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":744568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, John C.","contributorId":207751,"corporation":false,"usgs":false,"family":"Schmidt","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":37627,"text":"Department of Watershed Sciences, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":744569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744573,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70199171,"text":"70199171 - 2018 - Introduction of Eurasian-origin H8N4 influenza A virus into North America via migratory birds","interactions":[],"lastModifiedDate":"2018-09-20T16:19:13","indexId":"70199171","displayToPublicDate":"2018-09-07T15:45:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Introduction of Eurasian-origin H8N4 influenza A virus into North America via migratory birds","docAbstract":"<p><span>We identified a Eurasian-origin influenza A(H8N4) virus in North America by sampling wild birds in western Alaska, USA. Evidence for repeated introductions of influenza A viruses into North America by migratory birds suggests that intercontinental dispersal might not be exceedingly rare and that our understanding of viral establishment is incomplete.</span></p>","language":"English","publisher":"CDC","doi":"10.3201/eid2410.180447","usgsCitation":"Ramey, A.M., Reeves, A.B., Donnelly, T.F., Poulson, R., and Stallknecht, D.E., 2018, Introduction of Eurasian-origin H8N4 influenza A virus into North America via migratory birds: Emerging Infectious Diseases, v. 24, no. 10, p. 1950-1953, https://doi.org/10.3201/eid2410.180447.","productDescription":"4 p.","startPage":"1950","endPage":"1953","ipdsId":"IP-096179","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468428,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2410.180447","text":"Publisher Index Page"},{"id":357128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a266e4b0702d0e842e68","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":744521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":744522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donnelly, Tyrone F. tfdonnelly@usgs.gov","contributorId":4369,"corporation":false,"usgs":true,"family":"Donnelly","given":"Tyrone","email":"tfdonnelly@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":744523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":744524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stallknecht, David E.","contributorId":14323,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":744525,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70199072,"text":"70199072 - 2018 - Evidence that climate sets the lower elevation range limit in a high‐elevation endemic salamander","interactions":[],"lastModifiedDate":"2018-09-01T20:04:57","indexId":"70199072","displayToPublicDate":"2018-09-01T20:04:51","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evidence that climate sets the lower elevation range limit in a high‐elevation endemic salamander","docAbstract":"<p>A frequent assumption in ecology is that biotic interactions are more important than abiotic factors in determining lower elevational range limits (i.e., the “warm edge” of a species distribution). However, for species with narrow environmental tolerances, theory suggests the presence of a strong environmental gradient can lead to persistence, even in the presence of competition. The relative importance of biotic and abiotic factors is rarely considered together, although understanding when one exerts a dominant influence on controlling range limits may be crucial to predicting extinction risk under future climate conditions. We sampled multiple transects spanning the elevational range limit of <i>Plethodon shenandoah</i> and site and climate covariates were recorded. A two‐species conditional occupancy model, accommodating heterogeneity in detection probability, was used to relate variation in occupancy with environmental and habitat conditions. Regional climate data were combined with datalogger observations to estimate the cloud base heights and to project future climate change impacts on cloud elevations across the survey area. By simultaneously accounting for species’ interactions and habitat variables, we find that elevation, not competition, is strongly correlated with the lower elevation range boundary, which had been presumed to be restricted mainly as a result of competitive interactions with a congener. Because the lower elevational range limit is sensitive to climate variables, projected climate change across its high‐elevation habitats will directly affect the species’ distribution. Testing assumptions of factors that set species range limits should use models which accommodate detection biases. </p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4198","usgsCitation":"Campbell Grant, E.H., Brand, A.B., De Wekker, S.F., Lee, T.R., and Wofford, J.E., 2018, Evidence that climate sets the lower elevation range limit in a high‐elevation endemic salamander: Ecology and Evolution, v. 8, no. 15, p. 7553-7562, https://doi.org/10.1002/ece3.4198.","productDescription":"10 p.","startPage":"7553","endPage":"7562","ipdsId":"IP-074867","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4198","text":"Publisher Index Page"},{"id":357012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","volume":"8","issue":"15","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-06","publicationStatus":"PW","scienceBaseUri":"5b98a26be4b0702d0e842e94","contributors":{"authors":[{"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":743931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":743932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Wekker, Stephan F. J.","contributorId":90958,"corporation":false,"usgs":false,"family":"De Wekker","given":"Stephan","email":"","middleInitial":"F. J.","affiliations":[{"id":27696,"text":"Univ. of Virginia","active":true,"usgs":false}],"preferred":false,"id":743933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Temple R.","contributorId":207484,"corporation":false,"usgs":false,"family":"Lee","given":"Temple","email":"","middleInitial":"R.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":743934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wofford, John E. B.","contributorId":38951,"corporation":false,"usgs":false,"family":"Wofford","given":"John","email":"","middleInitial":"E. B.","affiliations":[],"preferred":false,"id":743935,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70199060,"text":"70199060 - 2018 - Contaminants of emerging concern in urban stormwater: Spatiotemporal patterns and removal by iron-enhanced sand filters (IESFs)","interactions":[],"lastModifiedDate":"2018-08-30T10:42:22","indexId":"70199060","displayToPublicDate":"2018-08-30T10:42:19","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":"Contaminants of emerging concern in urban stormwater: Spatiotemporal patterns and removal by iron-enhanced sand filters (IESFs)","docAbstract":"<p><span>Numerous contaminants of emerging concern (CECs) typically occur in urban rivers.&nbsp;Wastewater&nbsp;effluents&nbsp;are a major source of many&nbsp;CECs. Urban runoff (stormwater) is a major urban&nbsp;water budget&nbsp;component and may constitute another major CEC pathway. Yet, stormwater-based CEC field studies are rare. This research investigated 384 CECs in 36&nbsp;stormwater&nbsp;samples in Minneapolis-St. Paul, Minnesota, USA. Nine sampling sites included three large stormwater conveyances (pipes) and three paired iron-enhanced sand filters (IESFs; untreated inlets and treated outlets). The 123 detected compounds included commercial-consumer compounds, veterinary and human pharmaceuticals, lifestyle and personal care compounds, pesticides, and others. Thirty-one CECs were detected in ≥50% of samples. Individual samples contained a median of 35 targeted CECs (range: 18–54). Overall, median concentrations were ≥10 ng/L for 25 CECs and ≥100 ng/L for 9 CECs. Ranked, hierarchical linear modeling indicated significant seasonal- and site type-based concentration variability for 53 and 30 CECs, respectively, with observed patterns corresponding to CEC type, source, usage, and seasonal&nbsp;hydrology. A primarily warm-weather, diffuse, runoff-based profile included many&nbsp;</span>herbicides<span>. A second profile encompassed winter and/or late summer samples enriched with some recalcitrant, hydrophobic compounds (e.g., PAHs), especially at pipes, suggesting conservative, less runoff-dependent sources (e.g., sediments). A third profile, indicative of mixed conservative/non-runoff, runoff, and/or atmospheric sources and transport that collectively affect a variety of conditions, included various&nbsp;fungicides, lifestyle, non-prescription, and commercial-consumer CECs. Generally, pipe sites had large, diverse land-use catchments, and showed more frequent detections of diverse CECs, but often at lower concentrations; while untreated sites (with smaller, more residential-catchments) demonstrated greater detections of “pseudo-persistent” and other ubiquitous or residentially-associated CECs. Although untreated stormwater transports an array of CECs to receiving waters, IESF treatment significantly removed concentrations of 14 (29%) of the 48 most detected CECs; for these, median removal efficiencies were 26%–100%. Efficient removal of some hydrophobic (e.g.,&nbsp;PAHs, bisphenol A) and polar-hydrophilic (e.g., caffeine, nicotine) compounds indicated particulate-bound contaminant filtration and for certain dissolved contaminants,&nbsp;sorption.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2018.08.020","usgsCitation":"Fairbairn, D.J., Elliott, S.M., Kiesling, R.L., Schoenfuss, H.L., Ferrey, M.L., and Westerhoff, B., 2018, Contaminants of emerging concern in urban stormwater: Spatiotemporal patterns and removal by iron-enhanced sand filters (IESFs): Water Research, v. 145, p. 332-345, https://doi.org/10.1016/j.watres.2018.08.020.","productDescription":"14 p.","startPage":"332","endPage":"345","ipdsId":"IP-094557","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":356946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Minneapolis, St. Paul","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.44696044921875,\n              44.859275967357476\n            ],\n            [\n              -92.95944213867186,\n              44.859275967357476\n            ],\n            [\n              -92.95944213867186,\n              45.08661163034925\n            ],\n            [\n              -93.44696044921875,\n              45.08661163034925\n            ],\n            [\n              -93.44696044921875,\n              44.859275967357476\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"145","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a26ee4b0702d0e842eb4","contributors":{"authors":[{"text":"Fairbairn, David J.","contributorId":207455,"corporation":false,"usgs":false,"family":"Fairbairn","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":743862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":743864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrey, Mark L.","contributorId":207457,"corporation":false,"usgs":false,"family":"Ferrey","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":743865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Westerhoff, Benjamin J.","contributorId":207458,"corporation":false,"usgs":false,"family":"Westerhoff","given":"Benjamin J.","affiliations":[{"id":20306,"text":"St. Cloud State University","active":true,"usgs":false}],"preferred":false,"id":743866,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70200889,"text":"70200889 - 2018 - Using United States Geological Survey stream gages to predict flow and temperature conditions to maintain freshwater mussel habitat","interactions":[],"lastModifiedDate":"2018-11-14T15:22:08","indexId":"70200889","displayToPublicDate":"2018-08-29T15:23:25","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Using United States Geological Survey stream gages to predict flow and temperature conditions to maintain freshwater mussel habitat","docAbstract":"<p><span>Habitat conditions necessary to support freshwater mussels can be difficult to characterize and predict, particularly for rare or endangered species such as the federally endangered dwarf wedgemussel,&nbsp;</span><i>Alasmidonta heterodon</i><span>. In this study, we evaluate flow and temperature conditions in three areas of the mainstem Delaware River known to consistently support&nbsp;</span><i>A</i><span>.&nbsp;</span><i>heterodon</i><span>, and we develop predictive models using the U.S. Geological Survey (USGS) stream gages and thermal stations in order to identify conditions under which habitat alteration could threaten the species. Flow and temperature prediction models based on nearby existing USGS gage and thermal stations were predictive for all three sites. Both discharge prediction and water depth profile models indicate one location (Site 3) was the most vulnerable to low‐flow conditions as it requires the highest discharge rate (26.3&nbsp;cms) at the USGS Callicoon gage to maintain both the full wetted perimeter (P</span><sub>full</sub><span>) and minimal wetted perimeter (P</span><sub>min</sub><span>) and prevent occlusion of areas that contain&nbsp;</span><i>A</i><span>.&nbsp;</span><i>heterodon</i><span>. Flow management targets aimed at protecting Site 3 should also protect Sites 1 and 2. Although analyses indicated significant benthic habitat available in all three sites even under low discharge rates, specific mussel locations could be vulnerable to dewatering and thermal stress if only P</span><sub>min</sub><span>&nbsp;values were maintained. Results indicate the magnitude of site temperature deviations from thermal stations varied by site and river temperature. In general, our results suggest that existing temperature and stream gage infrastructure may be used predictively to evaluate the effects of different flow targets on mainstem Delaware River&nbsp;</span><i>A</i><span>.&nbsp;</span><i>heterodon</i><span>&nbsp;habitat.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3326","usgsCitation":"Cole, J.C., Townsend, P.A., Eshleman, K.N., St. John White, B., Galbraith, H.S., and Lellis, W.A., 2018, Using United States Geological Survey stream gages to predict flow and temperature conditions to maintain freshwater mussel habitat: River Research and Applications, v. 34, no. 8, p. 977-992, https://doi.org/10.1002/rra.3326.","productDescription":"15 p.","startPage":"977","endPage":"992","ipdsId":"IP-086457","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":437774,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WS8S6V","text":"USGS data release","linkHelpText":"Site bathymetry, water temperature and rating curve 2004 and 2005 data for 3 sites in the Delaware River mainstem"},{"id":359432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.5255126953125,\n              41.3500103516271\n            ],\n            [\n              -74.5477294921875,\n              41.3500103516271\n            ],\n            [\n              -74.5477294921875,\n              42.429538632268276\n            ],\n            [\n              -75.5255126953125,\n              42.429538632268276\n            ],\n            [\n              -75.5255126953125,\n              41.3500103516271\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","scienceBaseUri":"5bed4274e4b0b3fc5cf91c8e","contributors":{"authors":[{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":751069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Townsend, Phillip A. 0000-0001-7003-8774","orcid":"https://orcid.org/0000-0001-7003-8774","contributorId":210594,"corporation":false,"usgs":false,"family":"Townsend","given":"Phillip","email":"","middleInitial":"A.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":751070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eshleman, Keith N.","contributorId":210596,"corporation":false,"usgs":false,"family":"Eshleman","given":"Keith","email":"","middleInitial":"N.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":751071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"St. John White, Barbara 0000-0001-8131-0534 bwhite@usgs.gov","orcid":"https://orcid.org/0000-0001-8131-0534","contributorId":141183,"corporation":false,"usgs":false,"family":"St. John White","given":"Barbara","email":"bwhite@usgs.gov","affiliations":[],"preferred":false,"id":751072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galbraith, Heather S. 0000-0003-3704-3517","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":204518,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":751073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":751074,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198946,"text":"70198946 - 2018 - Before the storm: Antecedent conditions as regulators of hydrologic and biogeochemical response to extreme climate events","interactions":[],"lastModifiedDate":"2018-12-05T14:19:32","indexId":"70198946","displayToPublicDate":"2018-08-28T13:29:10","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Before the storm: Antecedent conditions as regulators of hydrologic and biogeochemical response to extreme climate events","docAbstract":"<p><span>While the influence of antecedent conditions on watershed function is widely recognized under typical hydrologic regimes, gaps remain in the context of extreme climate events (ECEs). ECEs are those events that far exceed seasonal norms of intensity, duration, or impact upon the physical environment or ecosystem. In this synthesis, we discuss the role of source availability and hydrologic connectivity on antecedent conditions and propose a conceptual framework to characterize system response to ECEs at the watershed scale. We present four case studies in detail that span a range of types of antecedent conditions and type of ECE to highlight important controls and feedbacks. Because ECEs have the potential to export large amounts of water and materials, their occurrence in sequence can disproportionately amplify the response. In fact, multiple events may not be considered extreme in isolation, but when they occur in close sequence they may lead to extreme responses in terms of both supply and transport capacity. Therefore, to advance our understanding of these complexities, we need continued development of a mechanistic understanding of how antecedent conditions set the stage for ECE response across multiple regions and climates, particularly since monitoring of these rare events is costly and difficult to obtain. Through focused monitoring of critical ecosystems during rare events we will also be able to extend and validate modeling studies. Cross-regional comparisons are also needed to define characteristics of resilient systems. These monitoring, modeling, and synthesis efforts are more critical than ever in light of changing climate regimes, intensification of human modifications of the landscape, and the disproportionate impact of ECEs in highly populated regions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-018-0482-6","usgsCitation":"McMillan, S.K., Wilson, H.F., Tague, C.L., Hanes, D.M., Inamdar, S., Karwan, D.L., Loecke, T., Morrison, J., Murphy, S.F., and Vidon, P., 2018, Before the storm: Antecedent conditions as regulators of hydrologic and biogeochemical response to extreme climate events: Biogeochemistry, v. 141, no. 3, p. 487-501, https://doi.org/10.1007/s10533-018-0482-6.","productDescription":"15 p.","startPage":"487","endPage":"501","ipdsId":"IP-092162","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":356841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-16","publicationStatus":"PW","scienceBaseUri":"5b98a271e4b0702d0e842ed6","contributors":{"authors":[{"text":"McMillan, Sara K.","contributorId":207309,"corporation":false,"usgs":false,"family":"McMillan","given":"Sara","email":"","middleInitial":"K.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":743514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Henry F.","contributorId":207310,"corporation":false,"usgs":false,"family":"Wilson","given":"Henry","email":"","middleInitial":"F.","affiliations":[{"id":24491,"text":"Agriculture and Agri-Food Canada","active":true,"usgs":false}],"preferred":false,"id":743515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tague, Christina L.","contributorId":207311,"corporation":false,"usgs":false,"family":"Tague","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":743516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanes, Daniel M.","contributorId":207312,"corporation":false,"usgs":false,"family":"Hanes","given":"Daniel","email":"","middleInitial":"M.","affiliations":[{"id":37518,"text":"St. Louis University","active":true,"usgs":false}],"preferred":false,"id":743517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Inamdar, Shreeram","contributorId":177337,"corporation":false,"usgs":false,"family":"Inamdar","given":"Shreeram","affiliations":[],"preferred":false,"id":743518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karwan, Diana L.","contributorId":207315,"corporation":false,"usgs":false,"family":"Karwan","given":"Diana","email":"","middleInitial":"L.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":743522,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loecke, Terry","contributorId":207313,"corporation":false,"usgs":false,"family":"Loecke","given":"Terry","email":"","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":743519,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morrison, Jonathan 0000-0002-1756-4609","orcid":"https://orcid.org/0000-0002-1756-4609","contributorId":203255,"corporation":false,"usgs":true,"family":"Morrison","given":"Jonathan","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743520,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":743513,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vidon, Philippe","contributorId":207314,"corporation":false,"usgs":false,"family":"Vidon","given":"Philippe","email":"","affiliations":[{"id":37519,"text":"SUNY College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":743521,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70227745,"text":"70227745 - 2018 - Multiple metrics provide context for the distribution of a highly mobile fish predator, the blue catfish","interactions":[],"lastModifiedDate":"2022-01-28T16:01:04.819336","indexId":"70227745","displayToPublicDate":"2018-08-20T09:46:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Multiple metrics provide context for the distribution of a highly mobile fish predator, the blue catfish","docAbstract":"<p>Data sets with increased spatial and temporal resolution can help researchers and resource managers quantify representative distributional patterns of mobile sportfish. In this research, first, we illustrate patterns of sportfish distribution using individual (<i>percent of population, residence time, number of movements</i>) and combined distributional metrics. Second, we apply these metrics to one highly mobile fish species, the blue catfish (<i>Ictalurus furcatus</i>), across a range of spatial (whole reservoir, region, site) and temporal (year, month, diel period) scales. Specifically, we tracked 123 acoustically tagged blue catfish with a 20-receiver array in Milford Reservoir, KS, USA. When we integrated metrics, four site-specific distributional patterns emerged: (a) a large, active multi-site fish aggregation, (b) localised site fidelity, (c) transitional sites and (d) rarely used locations. These patterns would not have been detected using a single metric as each measurement revealed a different piece of the distribution story. For example, if we had only quantified<span>&nbsp;</span><i>percent of population,</i><span>&nbsp;</span>we could identify fish location, but not whether individual fish spent time at a location or were just passing through. Our examination of multiple scales also provided a novel context for interpreting site-specific patterns. As an illustration of this insight, using conventional approaches, we would have observed heterogeneity, but we would not have detected fish aggregations, in which individual fish either remained or repeatedly returned to a site. In summary, our results show the advantage of setting the entire ecosystem as the study boundary to integrate multiple responses using a spatially and temporally extensive data set.</p>","language":"English","publisher":"Wiley-Blackwell","doi":"10.1111/eff.12438","usgsCitation":"Gerber, K.M., Mather, M.E., Smith, J., and Peterson, Z.J., 2018, Multiple metrics provide context for the distribution of a highly mobile fish predator, the blue catfish: Ecology of Freshwater Fish, v. 28, no. 1, p. 141-155, https://doi.org/10.1111/eff.12438.","productDescription":"15 p.","startPage":"141","endPage":"155","ipdsId":"IP-090557","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488963,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12438","text":"Publisher Index Page"},{"id":395065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":271271,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph M.","affiliations":[{"id":53980,"text":"NMFS","active":true,"usgs":false}],"preferred":false,"id":832014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Zachary J.","contributorId":264349,"corporation":false,"usgs":false,"family":"Peterson","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":54442,"text":"Kansas Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":832015,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199141,"text":"70199141 - 2018 - Integrating growth and capture–mark–recapture models reveals size‐dependent survival in an elusive species","interactions":[],"lastModifiedDate":"2018-09-07T16:14:50","indexId":"70199141","displayToPublicDate":"2018-08-16T16:14:44","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Integrating growth and capture–mark–recapture models reveals size‐dependent survival in an elusive species","docAbstract":"<p><span>Survival is a key vital rate for projecting the viability of wild populations. Estimating survival is difficult for many rare or elusive species because recapture rates of marked individuals are low, and the ultimate fate of individuals is unknown. Low recapture rates for many species have made it difficult to accurately estimate survival, and to evaluate the importance of individual and environmental covariates for survival. Individual covariates such as size are particularly difficult to include in capture–mark–recapture models for elusive species because the state of the individual is unknown during periods when it is not captured. Here, we integrate a von Bertalanffy growth model with a multi‐state robust‐design Cormack‐Jolly‐Seber model to test for a relationship between body size and survival in the elusive, threatened giant gartersnake,&nbsp;</span><i>Thamnophis gigas</i><span>. We take a Bayesian approach to model the size of an individual during periods when it was not captured and measured, which fully propagates uncertainty in this unobserved covariate. We found strong support for a positive relationship between snake size and annual survival, with survival increasing with size up to a peak for adult snakes, after which survival either declines slightly or plateaus for the largest individuals. Few captures of very small and very large individuals led to high uncertainty in the survival rates of these sizes. Survival of giant gartersnakes was also positively related to the amount of precipitation and the cover of emergent and floating vegetation at a site. To our knowledge, our study is the first to estimate a size–survival relationship in a snake while fully accounting for uncertainty in the size of unobserved individuals. Our results have implications for the management of this threatened species and illustrate the utility of integrating hierarchical Bayesian models to the study of survival in elusive species.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2384","usgsCitation":"Rose, J.P., Wylie, G., Casazza, M.L., and Halstead, B., 2018, Integrating growth and capture–mark–recapture models reveals size‐dependent survival in an elusive species: Ecosphere, v. 9, no. 8, p. 1-18, https://doi.org/10.1002/ecs2.2384.","productDescription":"Article e02384; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-100064","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2384","text":"Publisher Index Page"},{"id":357135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.1667,\n              38.5\n            ],\n            [\n              -121.5,\n              38.5\n            ],\n            [\n              -121.5,\n              39.1667\n            ],\n            [\n              -122.1667,\n              39.1667\n            ],\n            [\n              -122.1667,\n              38.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-16","publicationStatus":"PW","scienceBaseUri":"5b98a283e4b0702d0e842f1b","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Glenn D. 0000-0002-7061-6658","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":207594,"corporation":false,"usgs":false,"family":"Wylie","given":"Glenn D.","affiliations":[],"preferred":false,"id":744299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744297,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256212,"text":"70256212 - 2018 - Near-solidus melts of MORB + 4 wt% H2O at 0.8 – 2.8 GPa applied to issues of subduction magmatism and continent formation","interactions":[],"lastModifiedDate":"2024-07-29T15:44:51.510322","indexId":"70256212","displayToPublicDate":"2018-08-11T10:38:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Near-solidus melts of MORB + 4 wt% H2O at 0.8 – 2.8 GPa applied to issues of subduction magmatism and continent formation","docAbstract":"<p><span>Experiments on MORB + 4&nbsp;wt% H</span><sub>2</sub><span>O at 0.8–2.8&nbsp;GPa and 700–950&nbsp;°C (Liu in High pressure phase equilibria involving the amphibolite–eclogite transformation. PhD dissertation, Stanford University, Stanford, California, 1997; Liu et al. in Earth Planet Sci Lett 143:161–171, 1996) were reexamined for their major and trace element melt compositions and melting relations. Degree of melting diminishes at greater pressures, with corresponding evolution of melt from andesitic at the lowest pressures and hottest temperatures to high-silica rhyolitic at the greatest pressure and coolest temperature. Quartz contributes greatly to the production of near-solidus melts of basaltic eclogite, with the result that melt productivity falls markedly following quartz exhaustion. This limits the extent of melting attainable in the basaltic eclogite portions of sub-arc subducting plates to no more than ~ 2 × the modal wt% quartz in the mafic eclogite protolith. Synthesized residual mineral assemblages lack an epidote-series mineral at temperatures &gt; 750&nbsp;°C, and as a result, melts from the rutile eclogite and rutile-amphibole eclogite facies have elevated concentrations of light rare earth elements, U, Th, have elevated Ba, K, and Sr, high Sr/Y, and are strongly depleted in Nb, Y, and the heavy rare earth elements. Models of eclogite partial melt reacting with peridotite of the mantle wedge reproduce major and trace element characteristics of parental arc magmas so long as the proportions of infiltrating melt to peridotite are relatively high, consistent with channelized ascent. Melt mass is estimated to increase roughly three- to ten-fold, consistent with H</span><sub>2</sub><span>O concentrations of 3–7&nbsp;wt% in the magmas produced by reaction. Partial melts of subducting basaltic eclogite are predicted to have positive Sr concentration anomalies, relative to Ce and Nd, that persist through melt-peridotite reactions. Primitive arc magmas commonly have positive Sr anomalies, whereas such anomalies are smaller in estimates of the bulk continental crust. Overall, Sr anomalies diminish passing from primitive to more evolved arc volcanic rocks, consistent with extensive mineral-melt differentiation (crystallization, partial remelting) involving plagioclase. On the order of 50&nbsp;wt% differentiation would be necessary to eliminate Sr positive anomalies, based on geochemical variations in the Cascade and western Aleutian magmatic arcs. Loss to the mantle of cumulates and restites with high Sr anomalies, in abundances broadly equal to the mass of the preserved crust, would be required to form the continents via processes similar to present-day subduction magmatism.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00410-018-1494-x","usgsCitation":"Sisson, T.W., and Kelemen, P.B., 2018, Near-solidus melts of MORB + 4 wt% H2O at 0.8 – 2.8 GPa applied to issues of subduction magmatism and continent formation: Contributions to Mineralogy and Petrology, v. 173, 70, 23 p., https://doi.org/10.1007/s00410-018-1494-x.","productDescription":"70, 23 p.","ipdsId":"IP-099283","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":431568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"173","noUsgsAuthors":false,"publicationDate":"2018-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":907119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelemen, Peter B. 0000-0003-4757-0855","orcid":"https://orcid.org/0000-0003-4757-0855","contributorId":340411,"corporation":false,"usgs":false,"family":"Kelemen","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":40291,"text":"Lamont-Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":907120,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197345,"text":"70197345 - 2018 - Examination of contaminant exposure and reproduction of ospreys (Pandion haliaetus) nesting in Delaware Bay and River in 2015","interactions":[],"lastModifiedDate":"2018-08-07T12:26:43","indexId":"70197345","displayToPublicDate":"2018-08-07T12:26:40","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}},"displayTitle":"Examination of contaminant exposure and reproduction of ospreys (<i>Pandion haliaetus</i>) nesting in Delaware Bay and River in 2015","title":"Examination of contaminant exposure and reproduction of ospreys (Pandion haliaetus) nesting in Delaware Bay and River in 2015","docAbstract":"<p><span>A study of ospreys (</span><i>Pandion haliaetus</i><span>) nesting in the coastal Inland Bays of Delaware, and the Delaware Bay and Delaware River in 2015 examined spatial and temporal trends in contaminant exposure,&nbsp;food web&nbsp;transfer and reproduction. Concentrations of&nbsp;organochlorine pesticides&nbsp;and&nbsp;metabolites,&nbsp;polychlorinated biphenyls&nbsp;(PCBs), coplanar PCB toxic equivalents,&nbsp;polybrominated diphenyl ethers&nbsp;(PBDEs) and other&nbsp;flame retardants&nbsp;in sample eggs were generally greatest in the Delaware River. Concentrations of legacy contaminants in 2015 Delaware Bay eggs were lower than values observed in the 1970s through early 2000s. Several alternative brominated flame retardants were rarely detected, with only TBPH [bis(2-ethylhexyl)-tetrabromophthalate)] present in 5 of 27 samples at &lt;5 ng/g wet weight. No relation was found between&nbsp;</span><i>p,p</i><span>′-DDE, total&nbsp;PCBs&nbsp;or total&nbsp;PBDEs&nbsp;in eggs with egg hatching, eggs lost from nests,&nbsp;nestling&nbsp;loss, fledging and nest success. Osprey eggshell thickness recovered to pre-DDT era values, and productivity was adequate to sustain a stable population. Prey fish contaminant concentrations were generally less than those in osprey eggs, with detection frequencies and concentrations greatest in white perch (</span><i>Morone americana</i><span>) from Delaware River compared to the Bay.&nbsp;Biomagnification&nbsp;factors from fish to eggs for&nbsp;</span><i>p,p</i><span>′-DDE and total PCBs were generally similar to findings from several Chesapeake Bay&nbsp;tributaries. Overall, findings suggest that there have been improvements in Delaware&nbsp;Estuary&nbsp;waterbird habitat compared to the second half of the 20th century. This trend is in part associated with mitigation of some anthropogenic contaminant threats.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.05.068","usgsCitation":"Rattner, B.A., Lazarus, R.S., Bean, T.G., McGowan, P.C., Callahan, C.R., Erickson, R.A., and Hale, R., 2018, Examination of contaminant exposure and reproduction of ospreys (Pandion haliaetus) nesting in Delaware Bay and River in 2015: Science of the Total Environment, v. 639, p. 596-607, https://doi.org/10.1016/j.scitotenv.2018.05.068.","productDescription":"12 p.","startPage":"596","endPage":"607","ipdsId":"IP-095078","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":356282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware Bay and River ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.69030761718749,\n              38.46219172306828\n            ],\n            [\n              -74.83062744140625,\n              38.46219172306828\n            ],\n            [\n              -74.83062744140625,\n              40.113789191575236\n            ],\n            [\n              -75.69030761718749,\n              40.113789191575236\n            ],\n            [\n              -75.69030761718749,\n              38.46219172306828\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"639","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3d4e4b0f5d57878e8fd","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":736774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazarus, Rebecca S. 0000-0003-1731-6469 rlazarus@usgs.gov","orcid":"https://orcid.org/0000-0003-1731-6469","contributorId":205286,"corporation":false,"usgs":false,"family":"Lazarus","given":"Rebecca","email":"rlazarus@usgs.gov","middleInitial":"S.","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":736775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bean, Thomas G. 0000-0002-3577-1994 tbean@usgs.gov","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":205287,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas","email":"tbean@usgs.gov","middleInitial":"G.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":736776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":736777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callahan, Carl R.","contributorId":205289,"corporation":false,"usgs":false,"family":"Callahan","given":"Carl","email":"","middleInitial":"R.","affiliations":[{"id":37073,"text":"USFWS, Annapolis MD","active":true,"usgs":false}],"preferred":false,"id":736780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hale, Robert","contributorId":205288,"corporation":false,"usgs":false,"family":"Hale","given":"Robert","affiliations":[{"id":37072,"text":"College of William and Mary, VA","active":true,"usgs":false}],"preferred":false,"id":736779,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198485,"text":"70198485 - 2018 - Seismic evidence for significant melt beneath the Long Valley Caldera, California, USA","interactions":[],"lastModifiedDate":"2018-08-30T14:51:45","indexId":"70198485","displayToPublicDate":"2018-08-06T12:14:31","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":"Seismic evidence for significant melt beneath the Long Valley Caldera, California, USA","docAbstract":"<p><span>A little more than 760 ka ago, a supervolcano on the eastern edge of California (United States) underwent one of North America's largest Quaternary explosive eruptions. Over this ~6-day-long eruption, pyroclastic flows blanketed the surrounding ~50 km with more than 1400 km</span><sup>3</sup><span>&nbsp;of the now-iconic Bishop Tuff, with ashfall reaching as far east as Nebraska. Collapse of the volcano's magma reservoir created the restless Long Valley Caldera. Although no rhyolitic eruptions have occurred in 100 k.y., beginning in 1978, ongoing uplift suggests new magma may have intruded into the reservoir. Alternatively, the reservoir could be approaching final crystallization, with present-day uplift related to the expulsion of fluid from the last vestiges of melt. Despite 40 years of diverse investigations, the presence of large volumes of melt in Long Valley's magma reservoir remain unresolved. Here we show, through full waveform seismic tomography, a mid-crustal zone of low shear-wave velocity. We estimate the reservoir contains considerable quantities of melt, &gt;1000 km</span><sup>3</sup><span>, at melt fractions as high as ~27%. While supervolcanoes like Long Valley are rare, understanding the volume and concentration of melt in their magma reservoirs is critical for determining their potential hazard.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G45094.1","usgsCitation":"Flinders, A.F., Shelly, D.R., Dawson, P.B., Hill, D.P., Tripoli, B., and Shen, Y., 2018, Seismic evidence for significant melt beneath the Long Valley Caldera, California, USA: Geology, v. 46, no. 9, p. 799-802, https://doi.org/10.1130/G45094.1.","productDescription":"4 p.","startPage":"799","endPage":"802","ipdsId":"IP-094906","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":460869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g45094.1","text":"Publisher Index Page"},{"id":356189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120,\n              37\n            ],\n            [\n              -118,\n              37\n            ],\n            [\n              -118,\n              38.75\n            ],\n            [\n              -120,\n              38.75\n            ],\n            [\n              -120,\n              37\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-02","publicationStatus":"PW","scienceBaseUri":"5b6fc3dce4b0f5d57878e90d","contributors":{"authors":[{"text":"Flinders, Ashton F. 0000-0003-2483-4635 aflinders@usgs.gov","orcid":"https://orcid.org/0000-0003-2483-4635","contributorId":196960,"corporation":false,"usgs":true,"family":"Flinders","given":"Ashton","email":"aflinders@usgs.gov","middleInitial":"F.","affiliations":[{"id":153,"text":"California Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":741635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Phillip B. 0000-0003-4065-0588 dawson@usgs.gov","orcid":"https://orcid.org/0000-0003-4065-0588","contributorId":206751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, David P. 0000-0002-1619-2006 dhill@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-2006","contributorId":206752,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"dhill@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tripoli, Barbara 0000-0002-1663-3991","orcid":"https://orcid.org/0000-0002-1663-3991","contributorId":206753,"corporation":false,"usgs":false,"family":"Tripoli","given":"Barbara","email":"","affiliations":[{"id":37390,"text":"Department of Earth and Planetary Science, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":741639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shen, Yang","contributorId":206754,"corporation":false,"usgs":false,"family":"Shen","given":"Yang","affiliations":[{"id":37391,"text":"University of Rhode Island, Graduate School of Oceanography","active":true,"usgs":false}],"preferred":false,"id":741640,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198353,"text":"70198353 - 2018 - Complex bedding geometry in the upper portion of Aeolis Mons, Gale crater, Mars","interactions":[],"lastModifiedDate":"2018-08-01T10:56:17","indexId":"70198353","displayToPublicDate":"2018-08-01T10:56:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Complex bedding geometry in the upper portion of Aeolis Mons, Gale crater, Mars","docAbstract":"<p><span>The Upper formation of Aeolis Mons in Gale crater exhibits curvilinear bedding patterns on the surfaces of several erosional benches that have been interpreted as cross-bedding. We use High Resolution Imaging Science Experiment (HiRISE) stereo topography to test this hypothesis by measuring the bedding geometry within these benches. The bedding geometry is consistent with aeolian cross-beds: measured dips rarely exceed the angle of repose, and the distribution of dip azimuths is non-random, allowing dune morphology and paleo-transport directions to be inferred using computer models of bedforms. The inferred dune type and transport direction vary between the benches of the Upper formation, indicating that the benches are separated by sufficient time for the wind regime to change. The paleo-wind directions derived from bedding geometry measurements differ from modern wind modeling results, suggesting that the conditions during deposition of the Upper formation were unlike modern conditions. The concentric bedding patterns in some locations indicate that the rate of deposition approached the rate of bedform migration. The evidence for lithified hundred-meter-scale dunes in the Upper formation of Aeolis Mons indicates that the area was a sediment sink at the time of formation, and any hypothesis for the formation of Aeolis Mons must be compatible with these results. We present one possible sequence of events for the formation of Aeolis Mons.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2018.06.009","usgsCitation":"Anderson, R.B., Edgar, L.A., Rubin, D.M., Lewis, K.W., and Newman, C., 2018, Complex bedding geometry in the upper portion of Aeolis Mons, Gale crater, Mars: Icarus, v. 314, p. 246-264, https://doi.org/10.1016/j.icarus.2018.06.009.","productDescription":"19 p.","startPage":"246","endPage":"264","ipdsId":"IP-096721","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":356079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"314","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3ede4b0f5d57878e93d","contributors":{"authors":[{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":741197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":741198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, David M.","contributorId":206587,"corporation":false,"usgs":false,"family":"Rubin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":32898,"text":"U.C. Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":741199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Kevin W.","contributorId":203787,"corporation":false,"usgs":false,"family":"Lewis","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":741200,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Claire","contributorId":206588,"corporation":false,"usgs":false,"family":"Newman","given":"Claire","affiliations":[{"id":37347,"text":"Aeolis Research","active":true,"usgs":false}],"preferred":false,"id":741201,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198792,"text":"70198792 - 2018 - Carving Grand Canyon’s inner gorge: A test of steady incision versus rapid knickzone migration","interactions":[],"lastModifiedDate":"2018-08-24T11:57:52","indexId":"70198792","displayToPublicDate":"2018-07-26T16:41:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Carving Grand Canyon’s inner gorge: A test of steady incision versus rapid knickzone migration","docAbstract":"<p>A recent study posits that much of the 240-m-deep inner gorge of Grand Canyon was carved between 500 and 400 ka via passage of a migrating knickzone with incision rates of ~1600 m/Ma during that time period; this was based on dating of a ca. 500 ka travertine deposit perched on the rim of the inner gorge, near Hermit Rapid, and a ca. 400 ka travertine drape that extends to within 60 m of river level nearby. However, a new U/Th age of 517 ± 13 ka on the same travertine drape challenges this model of a migrating knickzone and punctuated incision. The presence of ca. 500 ka travertine just 95 m above river level requires that most of the inner gorge was carved before that time. The resulting maximum bedrock incision rate of 230 m/Ma is consistent with independent results from sites up and downstream and with models for semi-steady Quaternary bedrock incision and dispels problems with the transient incision model. Downstream from the Hermit Rapid area, dikes present on both sides of the canyon have been used to support the migrating knickzone model. We report a new<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar age of 517 ± 16 ka on one of these dikes, but argue that they don’t necessarily gauge incision.</p><p>Field observations suggest that the discontinuous travertine deposits, near Hermit Rapid, were deposited by springs that emanated from the Redwall-Muav aquifer, mantled the Tonto Platform, and locally built downwards into the inner gorge and tributary canyons. The range of U/Th ages from ca. 10–600 ka suggests these were long-lived spring systems. The travertine cements predominantly angular to subrounded locally derived clasts consistent with deposition on hillslopes and by tributaries. Well-rounded gravels are exceedingly rare but have been used to suggest that the Colorado River was at the rim of the inner gorge at ca. 500 ka. No exotic Colorado River clasts, derived from the area outside of Grand Canyon, were observed by us. In-place gravel from the main stem or tributaries (e.g., from paleo–Hermit Creek) within the travertine deposits can be reconciled with existing data, if: (1) travertine was deposited at ca. 2 Ma, which is approximately when the steady incision model suggests the inner gorge began to incise; (2) a 500 ka lava dam in the Lava Falls Rapid area, 140 km downstream, backed water and sediment up to the rim of the inner gorge in the Hermit area; or (3) regional climate-driven aggradation took place at 500 ka.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01562.1","usgsCitation":"Crow, R.S., Karlstrom, K.E., Crossey, L.J., Polyak, V., Asmerom, Y., and McIntosh, W.C., 2018, Carving Grand Canyon’s inner gorge: A test of steady incision versus rapid knickzone migration: Geosphere, v. 14, no. 5, p. 1-17, https://doi.org/10.1130/GES01562.1.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-084123","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468562,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01562.1","text":"Publisher Index Page"},{"id":356636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Grand Canyon ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.14794921875,\n              35.572448615622804\n            ],\n            [\n              -111.67053222656249,\n              35.572448615622804\n            ],\n            [\n              -111.67053222656249,\n              37.21283151445594\n            ],\n            [\n              -114.14794921875,\n              37.21283151445594\n            ],\n            [\n              -114.14794921875,\n              35.572448615622804\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-26","publicationStatus":"PW","scienceBaseUri":"5b98a297e4b0702d0e842f85","contributors":{"authors":[{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":742965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl E.","contributorId":75597,"corporation":false,"usgs":true,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":742966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crossey, Laura J.","contributorId":56265,"corporation":false,"usgs":true,"family":"Crossey","given":"Laura","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":742967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Polyak, Victor","contributorId":207162,"corporation":false,"usgs":false,"family":"Polyak","given":"Victor","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":742968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Asmerom, Yemane","contributorId":146278,"corporation":false,"usgs":false,"family":"Asmerom","given":"Yemane","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":742969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McIntosh, William C.","contributorId":191163,"corporation":false,"usgs":false,"family":"McIntosh","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":742970,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70226824,"text":"70226824 - 2018 - Linking the Ukinrek 1977 maar-eruption observations to the tephra deposits: New insights into maar depositional processes","interactions":[],"lastModifiedDate":"2021-12-14T12:44:30.908574","indexId":"70226824","displayToPublicDate":"2018-07-19T06:39:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Linking the Ukinrek 1977 maar-eruption observations to the tephra deposits: New insights into maar depositional processes","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0060\"><span>The Ukinrek Maars erupted 30 March to 9 April 1977, forming two maars, a line of small pit&nbsp;craters&nbsp;and a&nbsp;tephra&nbsp;blanket extending to ~2 km from the vents. We combine photographic and written observations with stratigraphic analysis to reconstruct the eruption. The eruption began with very low (a few meters high) fountaining from small craters above an inferred east-west-trending dike, creating local scoria/spatter agglomerate ramparts with a sandy matrix. The eruption very quickly (in minutes to hours) centered on the West Maar. The West Maar eruption lasted 1–2 days, starting and ending with phreatomagmatic explosions with weak phreato-Strombolian activity in between. Initial explosions formed a 30-m-wide crater, enlarged by crater-wall collapse, and columns as high as 6500 m. Phreato-Strombolian activity produced ~72% of the erupted volume, including a small spatter cone and a scoria blanket around the vent. A final explosion series emplaced a lithic-rich&nbsp;breccia&nbsp;as ballistic blocks, possibly as the northern half of the final crater collapsed into the southern vent area. The East Maar formed over the last nine days of the eruption and represents ~93% of the total volume (4.6 × 10</span><sup>6</sup> m<sup>3</sup><span>) of the Ukinrek eruption. Initial explosions were probably shallower than 10–20 m but most of the eruption occurred from explosions at 50–60 m below the pre-eruptive surface, with evidence of explosions to 90 m depth only at the very end of the eruption. The East Maar eruption mostly produced columns of lapilli, ash, and steam and the deposits are mostly fallout. Winds blew fallout mostly to the north for the first 5–6 days and to the south for the last three days of the eruption. Wind-directed pyroclastic density currents collapsed from the column, producing fines-rich layers within the coarser fallout. Sporadic explosions produced weak density currents in the first few days and lithic-and juvenile-block-rich breccias in the last few days of the eruption. We interpret that collapse of the crater walls made a slurry that in part provided the water for phreatomagmatic interaction. Explosions came from depths &lt;90 m below the pre-eruptive surface except for a few explosions at the end of the eruption, with most occurring at &lt;70 m depth. The East Maar crater was open to 40–60 m depth throughout most of the eruption, so the explosions were rarely, if ever, deeper than 30 m below the crater floor. Thus, we infer there is no classic, well-formed&nbsp;diatreme&nbsp;structure below the maar. Collapse of the East Maar crater walls provided a supply of water-saturated sediment for much of the phreatomagmatic activity, which came from two vents that did not migrate much, if at all, during the eruption. The Ukinrek Maars deposits were nearly entirely emplaced by fallout, rather than density currents, from explosions and low columns.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.07.005","usgsCitation":"Ort, M., Lefebvre, N., Neal, C.A., McConnell, V., and Wohletz, K., 2018, Linking the Ukinrek 1977 maar-eruption observations to the tephra deposits: New insights into maar depositional processes: Journal of Volcanology and Geothermal Research, v. 360, p. 36-60, https://doi.org/10.1016/j.jvolgeores.2018.07.005.","productDescription":"25 p.","startPage":"36","endPage":"60","ipdsId":"IP-096925","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":392844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Ukinrek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.80099487304688,\n              57.69240553526455\n            ],\n            [\n              -156.30661010742188,\n              57.69240553526455\n            ],\n            [\n              -156.30661010742188,\n              57.921412337667526\n            ],\n            [\n              -156.80099487304688,\n              57.921412337667526\n            ],\n            [\n              -156.80099487304688,\n              57.69240553526455\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"360","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ort, Michael","contributorId":270100,"corporation":false,"usgs":false,"family":"Ort","given":"Michael","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":828399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lefebvre, Nathalie","contributorId":270102,"corporation":false,"usgs":false,"family":"Lefebvre","given":"Nathalie","email":"","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":828400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":131135,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":828401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McConnell, Vicki","contributorId":270106,"corporation":false,"usgs":false,"family":"McConnell","given":"Vicki","affiliations":[{"id":56079,"text":"Geological Society of America","active":true,"usgs":false}],"preferred":false,"id":828402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wohletz, Ken","contributorId":270107,"corporation":false,"usgs":false,"family":"Wohletz","given":"Ken","email":"","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":828403,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198173,"text":"70198173 - 2018 - Post-fledging movements and habitat associations of White-tailed Sea Eagles (Haliaeetus albicilla) in Central Asia","interactions":[],"lastModifiedDate":"2018-11-14T09:54:54","indexId":"70198173","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Post-fledging movements and habitat associations of White-tailed Sea Eagles (Haliaeetus albicilla) in Central Asia","docAbstract":"Behavior of young birds can have important consequences for population dynamics. We investigated the autumnal post-fledging movements of 3 White-tailed Sea Eagles (Haliaeetus albicilla) hatched in Kazakhstan. All 3 eagles traveled south, flying on average 25–108 km/d. Movement was nonrandom, with eagles generally traveling near mosaics of forest, open areas, and water, and rarely using areas with little vegetation. As the first study of movements of White-tailed Sea Eagles in arid Central Asia, this study provides insight into potential limiting factors and how these birds interact with their environment during long-distance movements.","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/17-055.1","usgsCitation":"Bragin, E.A., Poessel, S.A., Lanzone, M.J., and Katzner, T., 2018, Post-fledging movements and habitat associations of White-tailed Sea Eagles (Haliaeetus albicilla) in Central Asia: Wilson Journal of Ornithology, v. 130, no. 3, p. 784-788, https://doi.org/10.1676/17-055.1.","productDescription":"5 p.","startPage":"784","endPage":"788","ipdsId":"IP-084317","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":355814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3f7e4b0f5d57878e995","contributors":{"authors":[{"text":"Bragin, Evgeny A.","contributorId":194894,"corporation":false,"usgs":false,"family":"Bragin","given":"Evgeny","email":"","middleInitial":"A.","affiliations":[{"id":35656,"text":"Science Department, Naurzum National Nature Reserve, Kostanay Oblast, Naurzumski Raijon, Karamendy, Kazakhstan","active":true,"usgs":false}],"preferred":false,"id":740423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":740421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lanzone, Michael J.","contributorId":147851,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":740424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":740422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198124,"text":"70198124 - 2018 - Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer","interactions":[],"lastModifiedDate":"2018-10-23T17:00:05","indexId":"70198124","displayToPublicDate":"2018-07-17T00:00:00","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":"Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer","docAbstract":"<ol class=\"\"><li>Surveillance is critical for early detection of emerging and re‐emerging infectious diseases. Weighted surveillance leverages heterogeneity in infection risk to increase sampling efficiency.</li><li>Here, we apply a Bayesian approach to estimate weights for 16 surveillance classes of white‐tailed deer in Wisconsin, USA, relative to hunter‐harvested yearling males. We used these weights to conduct a surveillance programme for detecting chronic wasting disease (CWD) in white‐tailed deer at Shenandoah National Park (SHEN) in Virginia, USA.</li><li>Generally, for surveillance, risk of infection increased with age and was greater in males. Clinical suspect deer had the highest risk, with weight estimates of 33.33 and 9.09 for community‐reported and hunter‐reported suspect deer, respectively. Fawns had the lowest risk with an estimated weight of 0.001.</li><li>We used surveillance weights for Wisconsin deer to determine sampling effort required to detect a CWD‐positive case in SHEN if prevalence in yearling males ≥0.025. The sampling required to detect CWD was 37–91 adult deer, depending on the adult male:female ratio in the surveillance stream. We collected rectal biopsies from 49 female and 21 male adult deer, and 10 additional samples from vehicle‐killed deer. CWD was not detected and we concluded with 95% probability that prevalence in the reference population (yearling males) was between 0.0% and 3.6%.</li><li><i>Synthesis and applications</i>. Our approach allows managers to estimate relative surveillance weights for different host classes and quantify limits of disease detection in real time when only a sample of animals from a population can be tested, resulting in considerable cost savings for agencies performing wildlife disease detection surveillance. Additionally, it provides a rigorous means of estimating prevalence limits when a disease/pathogen is not detected in a sample set. It is therefore applicable to other wildlife, domestic animal and human disease systems, which can be characterized by surveillance classes with heterogeneous probability of infection. This methodology is also extendable to other disciplines such as invasive species, environmental toxicology, and generally, any ecological question seeking to efficiently use scarce financial and human resources to maximize the detection probability of a rare event.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13178","usgsCitation":"Jennelle, C.S., Walsh, D.P., Samuel, M.D., Osnas, E.E., Rolley, R.E., Langenberg, J.A., Powers, J.G., Monello, R.J., Demarest, E.D., Gubler, R., and Heisey, D.M., 2018, Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer: Journal of Applied Ecology, v. 55, no. 6, p. 2944-2953, https://doi.org/10.1111/1365-2664.13178.","productDescription":"10 p.","startPage":"2944","endPage":"2953","ipdsId":"IP-096715","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":468585,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13178","text":"Publisher Index Page"},{"id":355721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-18","publicationStatus":"PW","scienceBaseUri":"5b6fc411e4b0f5d57878e9c3","contributors":{"authors":[{"text":"Jennelle, Christopher S.","contributorId":206350,"corporation":false,"usgs":false,"family":"Jennelle","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":740125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":740124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":740126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osnas, Erik E. 0000-0001-9528-0866 eosnas@usgs.gov","orcid":"https://orcid.org/0000-0001-9528-0866","contributorId":5586,"corporation":false,"usgs":true,"family":"Osnas","given":"Erik","email":"eosnas@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":740127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rolley, Robert E.","contributorId":171376,"corporation":false,"usgs":false,"family":"Rolley","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":740128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langenberg, Julia A.","contributorId":145418,"corporation":false,"usgs":false,"family":"Langenberg","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":740129,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Powers, Jenny G.","contributorId":10710,"corporation":false,"usgs":true,"family":"Powers","given":"Jenny","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":740130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Monello, Ryan J.","contributorId":184143,"corporation":false,"usgs":false,"family":"Monello","given":"Ryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":740131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Demarest, E. David","contributorId":206354,"corporation":false,"usgs":false,"family":"Demarest","given":"E.","email":"","middleInitial":"David","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":740132,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gubler, Rolf","contributorId":206355,"corporation":false,"usgs":false,"family":"Gubler","given":"Rolf","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":740133,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Heisey, Dennis M. dheisey@usgs.gov","contributorId":2455,"corporation":false,"usgs":true,"family":"Heisey","given":"Dennis","email":"dheisey@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":740134,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70196904,"text":"ofr20181081 - 2018 - U.S. Geological Survey Community for Data Integration 2017 Workshop Proceedings","interactions":[],"lastModifiedDate":"2018-10-24T14:43:27","indexId":"ofr20181081","displayToPublicDate":"2018-07-02T15:50:00","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":"2018-1081","title":"U.S. Geological Survey Community for Data Integration 2017 Workshop Proceedings","docAbstract":"<h1>Executive Summary</h1><p>The U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held May 16–19, 2017 at the Denver Federal Center. There were 183 in-person attendees and 35 virtual attendees over four days. The theme of the workshop was “Enabling Integrated Science,” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forward to advance integrated science at the USGS.</p><p>The CDI welcomed several keynote speakers, including Bill Werkheiser, USGS Acting Director; Kevin T. Gallagher, USGS Associate Director of the Core Science Systems Mission Area; Bruce Caron, Earth Science Information Partners Community Architect; and Tim Quinn, Chief of the USGS Office of Enterprise Information. Their presentations focused on the importance of collaborative, cross-disciplinary, and open science and the role of the CDI in identifying and supporting new opportunities in these areas for the USGS and its partners.</p><p>In addition to the stated theme, the workshop agenda was driven by the needs of the CDI, with topics highlighting current resources and technologies that could help attendees in their daily work. Topical sessions were proposed by CDI members and included subjects such as data citation, information technology architecture, legacy data, real-time data, and many more. Plenary speakers from the community talked about USGS activities in data science, elevation and hydrography data integration, advanced scientific computing solutions, cloud computing, data-management training, and data-sharing agreements. Two panels addressed the role of the CDI in enabling integrated science and examples of CDI-supported projects in action.</p><p>Breakout discussions focused on the workshop theme of “Enabling Integrated Science” and covered five topics: Data and Data Integration, Modeling, Computing Capacity, Science Data Integration, and User Needs and Experience. Sessions on each topic identified actions that could bring the USGS and the broader Earth science community closer to the goal of making&nbsp;integrated science commonplace. The breakouts produced recommendations with the broad themes of improving communication&nbsp;and connections across the USGS, reducing duplication and increasing knowledge transfer, increasing training and testbed&nbsp;opportunities to learn and experiment, and creating community-supported standards to enable better integration and interoperability.</p><p>The DataBlast poster and live demonstration session showcased 36 projects from around the CDI and included recent CDI-funded projects as well as other USGS and partner initiatives that were related to data and software integration and discovery.</p><p>Importantly, the CDI workshop provided a forum for scientists, technologists, data and resource managers, program managers, and others to convene face to face to discuss common methods, interests, challenges, and solutions related to scientific data and technologies. As a result of this rare convergence, new connections were made across disciplines, backgrounds, and geographical locations, seeding future activities and collaborations. Sharing of ideas from all attendees was encouraged through the use of a mobile application to collect real-time questions and feedback from the audience</p><p>The primary outcomes of the workshop are the recommendations from the breakout sessions titled “Roadmap Discussions on Enabling Integrated Science” and from the topical sessions detailed in these proceedings. These sessions, as well as the plenary discussions, identified new areas of collaboration and learning that the CDI will facilitate, such as data science, software development, scientific modeling practices, and user needs and experience. The CDI will build on the results of the workshop to guide its future topics, events, and funding opportunities to support an integrated science capacity for the USGS.</p><p>&nbsp;<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181081","usgsCitation":"Hsu, L., Hutchison, V.B., Langseth, M.L., and Wheeler, B., 2018, U.S. Geological Survey Community for Data Integration 2017 Workshop Proceedings: U.S. Geological Survey Open-File Report 2018–1081, 56 p., https://doi.org/10.3133/ofr20181081.","productDescription":"viii, 56 p.","numberOfPages":"68","onlineOnly":"Y","ipdsId":"IP-092748","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":355343,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1081/coverthb.jpg"},{"id":355344,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1081/ofr20181081.pdf","text":"Report","size":"5.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1081"}],"contact":"<p><a href=\"https://www.usgs.gov/core-science-systems/csasl?qt-programs_l2_landing_page=0#qt-programs_l2_landing_page\" data-mce-href=\"https://www.usgs.gov/core-science-systems/csasl?qt-programs_l2_landing_page=0#qt-programs_l2_landing_page\">Core Science Analytics, Synthesis, and Library</a><br>U.S. Geological Survey<br>108 National Center<br>12201 Sunrise Valley Drive,<br>Reston, VA 20192<br></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Agenda</li><li>Roadmap Discussions on Enabling Integrated Science</li><li>Presentations and Panels</li><li>Topical Sessions</li><li>Working Group Meetings</li><li>Selected Birds of a Feather Discussion</li><li>Open Lab</li><li>Trainings</li><li>DataBlast</li><li>Summary of Workshop Outcomes</li><li>Acknowledgments</li><li>References</li><li>Appendix 1. Interactive Session Questions and Comments</li><li>Appendix 2. Attendees</li><li>Appendix 3. Community for Data Integration Science Support Framework</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-07-02","noUsgsAuthors":false,"publicationDate":"2018-07-02","publicationStatus":"PW","scienceBaseUri":"5b46e545e4b060350a15d07f","contributors":{"authors":[{"text":"Hsu, Leslie 0000-0002-5353-807X lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":734967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutchison, Vivian B. 0000-0001-5301-3698 vhutchison@usgs.gov","orcid":"https://orcid.org/0000-0001-5301-3698","contributorId":5100,"corporation":false,"usgs":true,"family":"Hutchison","given":"Vivian B.","email":"vhutchison@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":734968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langseth, Madison L. 0000-0002-4472-9106 mlangseth@usgs.gov","orcid":"https://orcid.org/0000-0002-4472-9106","contributorId":147810,"corporation":false,"usgs":true,"family":"Langseth","given":"Madison","email":"mlangseth@usgs.gov","middleInitial":"L.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":734969,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wheeler, Benjamin 0000-0001-5875-1163 bwheeler@usgs.gov","orcid":"https://orcid.org/0000-0001-5875-1163","contributorId":5949,"corporation":false,"usgs":true,"family":"Wheeler","given":"Benjamin","email":"bwheeler@usgs.gov","affiliations":[],"preferred":true,"id":734970,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198059,"text":"70198059 - 2018 - A semi-arid river in distress: Contributing factors and recovery solutions for three imperiled freshwater mussels (Family Unionidae) endemic to the Rio Grande basin in North America","interactions":[],"lastModifiedDate":"2018-07-12T22:23:57","indexId":"70198059","displayToPublicDate":"2018-07-02T00:00:00","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":"A semi-arid river in distress: Contributing factors and recovery solutions for three imperiled freshwater mussels (Family Unionidae) endemic to the Rio Grande basin in North America","docAbstract":"<p><span>Freshwater resources in arid and semi-arid regions are in extreme demand, which creates conflicts between needs of humans and aquatic ecosystems. The Rio Grande basin in the southwestern United States and northern Mexico exemplifies this issue, as much of its aquatic biodiversity is in peril as a result of human activities. Unionid mussels have been disproportionately impacted, though the specific factors responsible for their decline remain largely unknown. This is problematic because the Rio Grande basin harbors one federally endangered unionid mussel (</span><i>Popenaias popeii</i><span>, Texas Hornshell) plus two other mussel species (</span><i>Potamilus metnecktayi</i><span>, Salina Mucket; and<span>&nbsp;</span></span><i>Truncilla cognata</i><span>, Mexican Fawnsfoot), which are also being considered for listing under the U.S. Endangered Species Act. To date, surveys for these species have not corrected for variability in detection so current range estimates may be inaccurate. Using single occupancy-modeling to estimate detection and occupancy at 115 sites along ~800 river kilometers of the Rio Grande in Texas, we found that detection probabilities were relatively high, indicating that our survey design was efficient. In contrast, the estimated occupancy was low, indicating that our focal species were likely rare within the Rio Grande drainage. In general, the predicted occupancy of our focal species was low throughout their respective ranges, indicating possible range declines. A comparison of currently occupied ranges to presumptive ranges underscores this point. The best-approximating models indicated that occupancy was influenced by habitat, water quantity and quality, and proximity to large-scale human activities, such as dams and major urban centers. We also discuss a series of conservation options that may not only improve the long-term prognosis of our focal species but also other aquatic taxa.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.03.032","usgsCitation":"Randklev, C.R., Miller, T., Hart, M., Morton, J., Johnson, N.A., Skow, K., Inoue, K., Tsakiris, E., Oetker, S., Smith, R., Robertson, C., and Lopez, R., 2018, A semi-arid river in distress: Contributing factors and recovery solutions for three imperiled freshwater mussels (Family Unionidae) endemic to the Rio Grande basin in North America: Science of the Total Environment, v. 631-632, p. 733-744, https://doi.org/10.1016/j.scitotenv.2018.03.032.","productDescription":"12 p.","startPage":"733","endPage":"744","ipdsId":"IP-091761","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rio Grande basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,34.25 ], [ -107.5,35.75 ], [ -106.0,35.75 ], [ -106.0,34.25 ], [ -107.5,34.25 ] ] ] } } ] }","volume":"631-632","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e545e4b060350a15d081","contributors":{"authors":[{"text":"Randklev, Charles R.","contributorId":202530,"corporation":false,"usgs":false,"family":"Randklev","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":739813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Tom","contributorId":206211,"corporation":false,"usgs":false,"family":"Miller","given":"Tom","email":"","affiliations":[{"id":37287,"text":"Laredo Community College","active":true,"usgs":false}],"preferred":false,"id":739814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Michael","contributorId":206212,"corporation":false,"usgs":false,"family":"Hart","given":"Michael","email":"","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":739815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morton, Jennifer","contributorId":206213,"corporation":false,"usgs":false,"family":"Morton","given":"Jennifer","email":"","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":739816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skow, Kevin","contributorId":206214,"corporation":false,"usgs":false,"family":"Skow","given":"Kevin","email":"","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":739817,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Inoue, Kentaro","contributorId":202526,"corporation":false,"usgs":false,"family":"Inoue","given":"Kentaro","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":739818,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tsakiris, Eric","contributorId":206215,"corporation":false,"usgs":false,"family":"Tsakiris","given":"Eric","email":"","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":739819,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Oetker, Susan","contributorId":206216,"corporation":false,"usgs":false,"family":"Oetker","given":"Susan","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":739820,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Ryan","contributorId":206257,"corporation":false,"usgs":false,"family":"Smith","given":"Ryan","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":739911,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robertson, Clint","contributorId":206217,"corporation":false,"usgs":false,"family":"Robertson","given":"Clint","affiliations":[{"id":37288,"text":"Texas Parks and Wildife","active":true,"usgs":false}],"preferred":false,"id":739821,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lopez, Roel","contributorId":206218,"corporation":false,"usgs":false,"family":"Lopez","given":"Roel","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":739822,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70197946,"text":"sir20185089 - 2018 - Water-quality conditions with an emphasis on cyanobacteria and associated toxins and taste-and-odor compounds in the Kansas River, Kansas, July 2012 through September 2016","interactions":[],"lastModifiedDate":"2018-09-25T06:22:34","indexId":"sir20185089","displayToPublicDate":"2018-07-02T00:00:00","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":"2018-5089","title":"Water-quality conditions with an emphasis on cyanobacteria and associated toxins and taste-and-odor compounds in the Kansas River, Kansas, July 2012 through September 2016","docAbstract":"<p>Cyanobacteria cause a multitude of water-quality concerns, including the potential to produce toxins and taste-and-odor compounds that may cause substantial economic and public health concerns, and are of particular interest in lakes, reservoirs, and rivers that are used for drinking-water supply. Extensive cyanobacterial blooms typically do not develop in the Kansas River; however, reservoirs in the lower Kansas River Basin occasionally develop blooms that may affect downstream water quality. During July 2012 through September 2016, continuous and (or) discrete water-quality data were collected at several sites (Wamego, De Soto, and three main reservoir-fed tributaries) on the Kansas River to characterize the sources, frequency and magnitude of occurrence, and causes of cyanobacteria, cyanobacterial toxins, and taste-and-odor compounds and to develop a real-time notification system of changing water-quality conditions that may affect drinking-water treatment.</p><p>Algal biomass, as estimated by chlorophyll, was consistently higher at the downstream De Soto site than the upstream Wamego site. Higher algal biomass at the De Soto site likely was caused by algal growth during downstream transport without major losses due to grazing by aquatic organisms or other processes. Algal biomass at the Wamego and De Soto sites was negatively correlated with streamflow and total and bioavailable nutrient concentrations. The negative association between algal biomass and nutrients in the Kansas River likely reflects the relatively strong positive association between nutrient concentrations and streamflows.</p><p>Cyanobacteria were relatively common in the Kansas River but rarely dominated the algal community. Like overall algal biomass, cyanobacterial abundances typically were higher at the De Soto site than the Wamego site. Cyanobacterial abundances generally peaked in late summer or early fall (July through October), with smaller peaks occasionally&nbsp;observed in spring (April through May). Cyanobacteria in the Kansas River rarely exceeded 20,000 cells per milliliter, the abundance at which cyanobacteria may become a concern for drinking-water treatment. Relations between cyanobacterial abundance and streamflow, turbidity, and nutrients in the Kansas River were similar to those between chlorophyll and total phytoplankton abundance, indicating the same processes that influence overall algal biomass and dynamics also are influencing cyanobacteria.</p><p>The cyanotoxin microcystin was detected in about 27 percent of the samples collected from Kansas River tributary and main-stem sites. Cylindrospermopsin was detected in one sample from the De Soto site. Microcystin occurrence and concentration were similar between the Wamego and De Soto sites. Concentrations exceeded the U.S. Environmental Protection Agency health advisory guidance values for finished drinking water of 0.3 (for bottle-fed infants and pre-school children) and 1.6 micrograms per liter (μg/L; for school-age children and adults) in 6 percent or less of samples collected. These guidance values are for finished drinking water and are not directly applicable to observed environmental concentrations but do provide a benchmark for comparison. Microcystin was detected most often and had the highest concentrations during summer. Though seasonal patterns in microcystin occurrence were generally consistent, seasonal maxima varied by an order of magnitude across years.</p><p>The taste-and-odor compounds geosmin and 2-methylisoborneol (MIB) were detected in about 78 and 43 percent of samples, respectively, collected across all sites (main stem and tributaries). Geosmin and MIB occurrence and concentration varied considerably between the Wamego and De Soto sites. Geosmin was detected in about 67 percent of Wamego samples and 81 percent of De Soto samples. The human detection threshold of 5 nanograms per liter (ng/L) was exceeded for geosmin in about 11 and 17 percent of the samples collected at the Wamego and De Soto sites, respectively. Geosmin&nbsp;was detected during all months of the year at both sites, and there were no clear seasonal patterns. MIB was detected less frequently in the Kansas River than geosmin and was observed in about 42 percent of Wamego samples and 33 percent of De Soto samples. Concentrations exceeded 5 ng/L in about 7 and 5 percent of samples from the Wamego and De Soto sites, respectively. As observed for geosmin, there were no clear seasonal patterns in MIB occurrence or concentration.</p><p>There seems to be a connection between microcystin detections in the Kansas River and occurrence of microcystin in upstream reservoirs (and tributary streams). Microcystin concentrations greater than 0.3 μg/L may be likely during the summer when streamflow is less than 3,000 cubic feet per second (ft<sup>3</sup>/s) and contributions from Milford Lake exceed about 30 percent of total flow in the Kansas River. Observed microcystin concentrations typically were higher at the De Soto site than the Wamego or tributary sites during 2012 through 2016, indicating cyanobacteria may continue to grow and produce microcystin once introduced to the Kansas River.</p><p>The spatial and temporal patterns in geosmin and MIB occurrence and concentration were more complex than microcystin. There were no clear connections between geosmin and MIB occurrence in the Kansas River and potential upstream reservoir (or tributary stream) sources. Likewise, there was not a clear relation between algal biomass, cyanobacteria, or actinomycetes bacteria and taste-and-odor events in the Kansas River. Geosmin and MIB were not strongly correlated with any measured environmental variable at either Kansas River site.</p><p>Continuous water-quality data may be used independently or in combination with regression models to provide information on changing water-quality conditions that may affect drinking-water treatment processes or recreational activities on the Kansas River. For example, logistic regression model outputs and continuous water-quality data may both be indicative of the potential for microcystin events. Logistic regression models that are estimating a high probability of microcystin occurrence at concentrations above 0.1 μg/L can be used as one indicator. Streamflows less than 3,000 ft<sup>3</sup>/s during upstream reservoir releases during periods with low turbidity and increased chlorophyll fluorescence, specific conductance, and pH values may also be indicative of microcystin events. Advanced or near-real-time notification may inform proactive, rather than reactive, management strategies when water-quality conditions are changing rapidly or are likely to cause cyanobacteria-related events.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185089","collaboration":"Prepared in cooperation with the Kansas Water Office, the City of Lawrence, the City of Olathe, the City of Topeka, and Johnson County WaterOne","usgsCitation":"Graham, J.L., Foster, G.M., Williams, T.J., Mahoney, M.D., May, M.R., and Loftin, K.A., 2018, Water-quality conditions with an emphasis on cyanobacteria and associated toxins and taste-and-odor compounds in the Kansas River, Kansas, July 2012 through September 2016: U.S. Geological Survey Scientific Investigations Report 2018–5089, 55 p., https://doi.org/10.3133/sir20185089.","productDescription":"Report: vi, 54 p.; 6 Appendixes; 2 Data Releases","numberOfPages":"66","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-091849","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":355473,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EVITTP","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Phytoplankton data for the Kansas River and tributaries, July 2012 through February 2017"},{"id":355474,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P973V4A9","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Discrete water-quality data for the Kansas River and tributaries, July 2012 - September 2016"},{"id":355471,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5089/sir20185089_appendix5.pdf","text":"Appendix 5","size":"239kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5089 Appendix 5"},{"id":355465,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5089/coverthb2.jpg"},{"id":355472,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5089/sir20185089_appendix6.pdf","text":"Appendix 6","size":"701 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5089 Appendix 6"},{"id":355466,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5089/sir20185089.pdf","text":"Report","size":"3.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5089"},{"id":355467,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5089/sir20185089_appendix1.pdf","text":"Appendix 1","size":"365 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5089 Appendix 1"},{"id":355468,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5089/sir20185089_appendix2.pdf","text":"Appendix 2","size":"370 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5089 Appendix 2"},{"id":355469,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5089/sir20185089_appendix3.pdf","text":"Appendix 3","size":"377 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5089 Appendix 3"},{"id":355470,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5089/sir20185089_appendix4.pdf","text":"Appendix 4","size":"372 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5089 Appendix 4"}],"country":"United States","state":"Kansas","otherGeospatial":"Kansas River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97,\n              38.5\n            ],\n            [\n              -94.6307373046875,\n              38.5\n            ],\n            [\n              -94.6307373046875,\n              40\n            ],\n            [\n              -97,\n              40\n            ],\n            [\n              -97,\n              38.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_ks@usgs.gov\" data-mce-href=\"mailto: dc_ks@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/kswsc\" data-mce-href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049&nbsp;</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Purpose and Scope<br></li><li>Description of Study Area<br></li><li>Methods<br></li><li>Streamflow Conditions<br></li><li>Select Water-Quality Conditions<br></li><li>Cyanobacteria, Cyanotoxins, and Taste-and-Odor Compounds<br></li><li>Environmental Factors Associated with Occurrence of Cyanotoxins and Taste-and-Odor Compounds<br></li><li>Logistic Regression Model Evaluation<br></li><li>Summary<br></li><li>References Cited<br></li><li>Appendixes 1–6<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-07-02","noUsgsAuthors":false,"publicationDate":"2018-07-02","publicationStatus":"PW","scienceBaseUri":"5b46e547e4b060350a15d091","contributors":{"authors":[{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":150737,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":739270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, Guy M. 0000-0002-9581-057X gfoster@usgs.gov","orcid":"https://orcid.org/0000-0002-9581-057X","contributorId":149145,"corporation":false,"usgs":true,"family":"Foster","given":"Guy","email":"gfoster@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Thomas J. 0000-0003-3124-3243 tjwilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-3124-3243","contributorId":185244,"corporation":false,"usgs":true,"family":"Williams","given":"Thomas","email":"tjwilliams@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":739272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahoney, Matthew D. 0000-0002-9008-7132","orcid":"https://orcid.org/0000-0002-9008-7132","contributorId":206054,"corporation":false,"usgs":true,"family":"Mahoney","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":739273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"May, Madison R. 0000-0001-9628-4041 mmay@usgs.gov","orcid":"https://orcid.org/0000-0001-9628-4041","contributorId":167612,"corporation":false,"usgs":true,"family":"May","given":"Madison","email":"mmay@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":739274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":739275,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198072,"text":"70198072 - 2018 - Managing conflicts in the River of Grass","interactions":[],"lastModifiedDate":"2019-12-21T09:09:49","indexId":"70198072","displayToPublicDate":"2018-07-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3427,"text":"Solutions Journal","active":true,"publicationSubtype":{"id":10}},"title":"Managing conflicts in the River of Grass","docAbstract":"<p>Chances are, you would not pack up and move to a new home without first researching the neighborhood, reviewing your finances, and maybe investigating schools nearby. Similarly, you would not buy the first car you find on a magazine cover without first reviewing the technical specifications, exploring your options, and perhaps taking a test drive. Even when making simple purchases online, you probably shop around, check out customer reviews, and scan seller feedback ratings.</p><p>Rarely do we act on impulse alone when faced with decisions. Rather, we typically start with a vision of what we want before gathering the necessary information, weighing our options, prioritizing our values, and evaluating possible tradeoffs. In making choices that range from lighthearted to life-changing, we use this commonsense strategy every day of our lives.</p><p>Environmental decision-making is no different. For decades, natural resource managers faced with complicated problems have made decisions by breaking them into smaller components that are easier to approach. And like our day-to day decisions, the process is ideally guided by a shared vision of the future. However, it can become complicated when multiple, seemingly disparate views on what the future should hold emerge. As Lewis Carroll once wrote, “If you don’t know where you are going, any road will get you there.”</p><p>Divining a vision of the future for the Florida Everglades and making supporting decisions is a complex undertaking. But unlike Alice thrust through the looking glass, we have tools and techniques to help us make sense of it all. The application of tools to help decision-making can move us closer to the successful restoration of this imperiled landscape.</p>","language":"English","publisher":"Solutions","usgsCitation":"Romanach, S.S., Beerens, J.M., Perez, L., Haider, S., and Pearlstine, L.G., 2018, Managing conflicts in the River of Grass: Solutions Journal, v. 9, no. 3, 8 p.","productDescription":"8 p.","ipdsId":"IP-087571","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355627,"type":{"id":15,"text":"Index Page"},"url":"https://www.thesolutionsjournal.com/article/managing-conflicts-river-grass/"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.78771972656249,\n              25.06072125231416\n            ],\n            [\n              -80.3485107421875,\n              25.06072125231416\n            ],\n            [\n              -80.3485107421875,\n              26.185018250078308\n            ],\n            [\n              -81.78771972656249,\n              26.185018250078308\n            ],\n            [\n              -81.78771972656249,\n              25.06072125231416\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc41ae4b0f5d57878e9eb","contributors":{"authors":[{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perez, Larry","contributorId":206254,"corporation":false,"usgs":false,"family":"Perez","given":"Larry","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":739905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":739904,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201487,"text":"70201487 - 2018 - Simulation of less‐mobile porosity dynamics in contrasting sediment water interface porous media","interactions":[],"lastModifiedDate":"2018-12-14T13:22:53","indexId":"70201487","displayToPublicDate":"2018-06-30T13:22:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of less‐mobile porosity dynamics in contrasting sediment water interface porous media","docAbstract":"<p><span>Considering heterogeneity in porous media pore size and connectivity is essential to predicting reactive solute transport across interfaces. However, exchange with less‐mobile porosity is rarely considered in surface water/groundwater recharge studies. Previous research indicates that a combination of pore‐fluid sampling and geoelectrical measurements can be used to quantify less‐mobile porosity exchange dynamics using the time‐varying relation between fluid and bulk electrical conductivity. For this study, we use macro‐scale (10&nbsp;s of cm) advection–dispersion solute transport models linked with electrical conduction in COMSOL Multiphysics to explore less‐mobile porosity dynamics in two different types of observed sediment water interface porous media. Modeled sediment textures contrast from strongly layered streambed deposits to poorly sorted lakebed sands and cobbles. During simulated ionic tracer perturbations, a lag between fluid and bulk electrical conductivity, and the resultant hysteresis, is observed for all simulations indicating differential loading of pore spaces with tracer. Less‐mobile exchange parameters are determined graphically from these tracer time series data without the need for inverse numerical model simulation. In both sediment types, effective less‐mobile porosity exchange parameters are variable in response to changes in flow direction and fluid flux. These observed flow‐dependent effects directly impact local less‐mobile residence times and associated contact time for biogeochemical reaction. The simulations indicate that for the sediment textures explored here, less‐mobile porosity exchange is dominated by variable rates of advection through the domain, rather than diffusion of solute, for typical low‐to‐moderate rate (approximately 3–40&nbsp;cm/day) hyporheic fluid fluxes. Overall, our model‐based results show that less‐mobile porosity may be expected in a range of natural hyporheic sediments and that changes in flowpath orientation and magnitude will impact less‐mobile exchange parameters. These temporal dynamics can be assessed with the geoelectrical experimental tracer method applied at laboratory and field scales.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13134","usgsCitation":"Dehkordy, F.M., Briggs, M.A., Day-Lewis, F.D., and Bagtzoglou, A.C., 2018, Simulation of less‐mobile porosity dynamics in contrasting sediment water interface porous media: Hydrological Processes, v. 32, no. 13, p. 2030-2043, https://doi.org/10.1002/hyp.13134.","productDescription":"14 p.","startPage":"2030","endPage":"2043","ipdsId":"IP-095854","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":360327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"13","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-26","publicationStatus":"PW","scienceBaseUri":"5c14cfb8e4b006c4f8545d39","contributors":{"authors":[{"text":"Dehkordy, Farzaneh MahmoodPoor","contributorId":211500,"corporation":false,"usgs":false,"family":"Dehkordy","given":"Farzaneh","email":"","middleInitial":"MahmoodPoor","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":754313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":754312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":754314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bagtzoglou, Amvrossios C.","contributorId":211518,"corporation":false,"usgs":false,"family":"Bagtzoglou","given":"Amvrossios","email":"","middleInitial":"C.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":754315,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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     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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":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":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}]}}
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