{"pageNumber":"588","pageRowStart":"14675","pageSize":"25","recordCount":165855,"records":[{"id":70208004,"text":"sir20205005 - 2020 - A distributed temperature sensing investigation of groundwater discharge to Haskell Lake, Lac du Flambeau Reservation, Wisconsin, July 27–August 1, 2016","interactions":[],"lastModifiedDate":"2020-08-19T12:40:19.334681","indexId":"sir20205005","displayToPublicDate":"2020-08-18T14:31:27","publicationYear":"2020","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":"2020-5005","displayTitle":"A Distributed Temperature Sensing Investigation of Groundwater Discharge to Haskell Lake, Lac du Flambeau Reservation, Wisconsin, July 27–August 1, 2016","title":"A distributed temperature sensing investigation of groundwater discharge to Haskell Lake, Lac du Flambeau Reservation, Wisconsin, July 27–August 1, 2016","docAbstract":"<p>Haskell Lake is a shallow, 89-acre drainage lake in the headwaters of the Squirrel River, on the Lac du Flambeau Reservation in northern Wisconsin. Historically, this lake was an important producer of wild rice for the Lac du Flambeau Band of Lake Superior Chippewa Indians (LDF Tribe); but, beginning in the late 1970s, the rice began to diminish and by the late 1990s, the lake no longer had harvestable stands. Restoring wild rice to Haskell Lake is a long-term priority for the LDF Tribe. A first step towards that effort is the cleanup of a petroleum-contamination plume in the shallow aquifer upgradient of the northern end of the lake. Knowledge of the downgradient extent of the plume and the locations where contaminated water is discharging to the lake is needed to inform cleanup efforts.</p><p>A cooperative study between the U.S. Geological Survey and the LDF Tribe was initiated to characterize the distribution of groundwater discharge to Haskell Lake in the areas downgradient of the contamination plume. A fiber optic distributed temperature sensing system was used to monitor temperatures at the sediment-water interface for a 7-day period in July and August 2016. Challenges during the investigation included data storage and power supply limitations, maintenance of calibration baths, accurate location of the cable in space, cable placement in weeds and soft sediment, the confounding effects of solar radiation, and contamination of the data by multiple sources of instrument noise. The problem of instrument noise was overcome by solving the fiber optic distributed temperature sensing calibration equation for two parameters that describe temporal variation in the source laser and the photon detectors that observe the backscatter. Early morning temperatures, when the influence of solar radiation via direct warming of the sediment-water interface is minimized, were used to evaluate groundwater discharge, similar to other studies. The results indicate a persistent, horizontal variation in temperature of as much as 5.5 degrees Celsius across the study area, with cooler temperatures interpreted to indicate spatially discrete preferential groundwater discharge. Results of the study can be used to determine locations for collecting lakebed pore water samples to better define the extent of contamination discharging to the lake.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205005","collaboration":"Prepared in cooperation with the Lac du Flambeau Band of Lake Superior Chippewa Indians","usgsCitation":"Leaf, A.T., 2020, A distributed temperature sensing investigation of groundwater discharge to Haskell Lake, Lac du Flambeau Reservation, Wisconsin, July 27–August 1, 2016: U.S. Geological Survey Scientific Investigations Report 2020–5005, 17 p., https://doi.org/10.3133/sir20205005.","productDescription":"Report: vi, 17 p.; Data Release; Companion Report","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-100793","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":376503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5005/coverthb.jpg"},{"id":376504,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5005/sir20205005.pdf","text":"Report","size":"3.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5005"},{"id":376505,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X2OHNX","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Distributed lakebed temperature data, Haskell Lake, Lac du Flambeau Reservation, Wisconsin, July 27–August 1, 2016"},{"id":377597,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/sir20205024","text":"SIR 2020–5024","size":"11.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5024","linkHelpText":"— Hydrology of Haskell Lake and investigation of a groundwater contamination plume, Lac du Flambeau Reservation, Wisconsin"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Haskell Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.93322372436523,\n              45.89717666670996\n            ],\n            [\n              -89.89992141723633,\n              45.89717666670996\n            ],\n            [\n              -89.89992141723633,\n              45.920467927558576\n            ],\n            [\n              -89.93322372436523,\n              45.920467927558576\n            ],\n            [\n              -89.93322372436523,\n              45.89717666670996\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/umid-water\" href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a> <br>U.S. Geological Survey<br>8505 Research Way <br>Middleton, WI 53562&nbsp;</p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Abstract</li><li>Introduction</li><li>Distributed Temperature Sensing Principles</li><li>Field Methods</li><li>Data Analysis</li><li>Distribution of Groundwater Discharge</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-08-18","noUsgsAuthors":false,"publicationDate":"2020-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780113,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70212619,"text":"70212619 - 2020 - Assessing year‐round habitat use by migratory sea ducks in a multi‐species context reveals seasonal variation in habitat selection and partitioning","interactions":[],"lastModifiedDate":"2020-12-14T15:58:34.267851","indexId":"70212619","displayToPublicDate":"2020-08-18T10:28:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Assessing year‐round habitat use by migratory sea ducks in a multi‐species context reveals seasonal variation in habitat selection and partitioning","docAbstract":"<p><span>Long‐distance migration presents complex conservation challenges, and migratory species often experience shortfalls in conservation due to the difficulty of identifying important locations and resources throughout the annual cycle. In order to prioritize habitats for conservation of migratory wildlife, it is necessary to understand how habitat needs change throughout the annual cycle, as well as to identify key habitat sites and features that concentrate large numbers of individuals and species. Among long‐distance migrants, sea ducks have particularly complex migratory patterns, which often include distinct post‐breeding molt sites as well as breeding, staging and wintering locations. Using a large set of individual tracking data (n = 476 individuals) from five species of sea ducks in eastern North America, we evaluated multi‐species habitat suitability and partitioning across the breeding, post‐breeding migration and molt, wintering and pre‐breeding migration seasons. During breeding, species generally occupied distinct habitat areas, with the highest levels of multi‐species overlap occurring in the Barrenlands west of Hudson Bay. Species generally preferred flatter areas closer to lakes with lower maximum temperatures relative to average conditions, but varied in distance to shore, elevation and precipitation. During non‐breeding, species overlapped extensively during winter but diverged during migration. All species preferred shallow‐water, nearshore habitats with high productivity, but varied in their relationships to salinity, temperature and bottom slope. Sea ducks selected most strongly for preferred habitats during post‐breeding migration, with high partitioning among species; however, both selection and partitioning were weaker during pre‐breeding migration. The addition of tidal current velocity, aquatic vegetation presence and bottom substrate improved non‐breeding habitat models where available. Our results highlight the utility of multi‐species, annual‐cycle habitat assessments in identifying key habitat features and periods of vulnerability in order to optimize conservation strategies for migratory wildlife.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.05003","usgsCitation":"Lamb, J.S., Paton, P.W., Osenkowski, J.E., Badzinski, S.S., Berlin, A., Bowman, T.D., Dwyer, C., Fara, L., Gilliland, S.G., Kenow, K.P., Lepage, C., Mallory, M.L., Olsen, G., Perry, M., Petrie, S.A., Savard, J.L., Savoy, L., Schummer, M.L., Spiegel, C.S., and McWilliams, S.R., 2020, Assessing year‐round habitat use by migratory sea ducks in a multi‐species context reveals seasonal variation in habitat selection and partitioning: Ecography, v. 43, no. 12, p. 1842-1858, https://doi.org/10.1111/ecog.05003.","productDescription":"17 p.","startPage":"1842","endPage":"1858","onlineOnly":"Y","ipdsId":"IP-115137","costCenters":[{"id":531,"text":"Patuxent Wildlife Research 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0000-0002-1143-4395","orcid":"https://orcid.org/0000-0002-1143-4395","contributorId":202973,"corporation":false,"usgs":true,"family":"Fara","given":"Luke J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":797134,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gilliland, Scott G.","contributorId":216936,"corporation":false,"usgs":false,"family":"Gilliland","given":"Scott","email":"","middleInitial":"G.","affiliations":[{"id":12590,"text":"Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":797135,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences 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0000-0001-6452-9534 mperry@usgs.gov","orcid":"https://orcid.org/0000-0001-6452-9534","contributorId":179173,"corporation":false,"usgs":true,"family":"Perry","given":"Matthew","email":"mperry@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":797140,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Petrie, Scott A.","contributorId":141223,"corporation":false,"usgs":false,"family":"Petrie","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":13717,"text":"Long Point Waterfowl","active":true,"usgs":false}],"preferred":false,"id":797141,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Savard, Jean-Pierre L.","contributorId":101776,"corporation":false,"usgs":false,"family":"Savard","given":"Jean-Pierre","email":"","middleInitial":"L.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment 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S.","contributorId":216938,"corporation":false,"usgs":false,"family":"Spiegel","given":"Caleb","email":"","middleInitial":"S.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":797145,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"McWilliams, Scott R.","contributorId":172328,"corporation":false,"usgs":false,"family":"McWilliams","given":"Scott","email":"","middleInitial":"R.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":797146,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70212606,"text":"70212606 - 2020 - Bioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates","interactions":[],"lastModifiedDate":"2020-08-24T13:27:00.53768","indexId":"70212606","displayToPublicDate":"2020-08-18T08:21:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Bioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Land managers need new tools for planning novel futures due to climate change. Species distribution modeling (SDM) has been used extensively to predict future distributions of species under different climates, but their map products are often too coarse for fine-scale operational use. In this study we developed a flexible, efficient, and robust method for mapping current and future distributions and abundances of vegetation species and communities at the fine spatial resolutions that are germane to land management. First, we mapped Potential Vegetation Types (PVTs) using conventional statistical modeling techniques (Random Forests) that used bioclimatic ecosystem process and climate variables as predictors. We obtained over 50% accuracy across 13 mapped PVTs for our study area. We then applied future climate projections as climate input to the Random Forest model to generate future PVT maps, and used field data describing the occurrence of tree and non-tree species in each PVT category to model and map species distribution for current and future climate. These maps were then compared to two previous SDM mapping efforts with over 80% agreement and equivalent accuracy. Because PVTs represent the biophysical potential of the landscape to support vegetation communities as opposed to the vegetation that currently exists, they can be readily linked to climate forecasts and correlated with other, climate-sensitive ecological processes significant in land management, such as fire regimes and site productivity.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2020.118498","usgsCitation":"Keane, R., Holsinger, L.M., and Loehman, R.A., 2020, Bioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates: Forest Ecology and Management, v. 477, 118498, 12 p., https://doi.org/10.1016/j.foreco.2020.118498.","productDescription":"118498, 12 p.","ipdsId":"IP-117746","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":377779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Southwest Crown of the Continent","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.31298828125,\n              48.004625021133904\n            ],\n            [\n              -113.51074218749999,\n              47.87214396888731\n            ],\n            [\n              -114.10400390625,\n              47.78363463526376\n            ],\n            [\n              -114.10400390625,\n              47.368594345213374\n            ],\n            [\n              -114.169921875,\n              46.558860303117164\n            ],\n            [\n              -113.79638671875,\n              46.14939437647686\n            ],\n            [\n              -113.2470703125,\n              45.36758436884978\n            ],\n            [\n              -113.02734374999999,\n              44.63739123445585\n            ],\n            [\n              -112.54394531249999,\n              44.465151013519616\n            ],\n            [\n              -111.6650390625,\n              44.793530904744074\n            ],\n            [\n              -111.07177734375,\n              45.166547157856016\n            ],\n            [\n              -110.5224609375,\n              45.166547157856016\n            ],\n            [\n              -110.390625,\n              45.521743896993634\n            ],\n            [\n              -110.76416015625,\n              45.75219336063106\n            ],\n            [\n              -111.4892578125,\n              46.057985244793024\n            ],\n            [\n              -112.52197265625,\n              46.08847179577592\n            ],\n            [\n              -112.8955078125,\n              46.40756396630067\n            ],\n            [\n              -112.9833984375,\n              46.830133640447386\n            ],\n            [\n              -113.04931640625,\n              47.41322033016902\n            ],\n            [\n              -113.0712890625,\n              47.57652571374621\n            ],\n            [\n              -113.0712890625,\n              47.78363463526376\n            ],\n            [\n              -113.31298828125,\n              48.004625021133904\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"477","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keane, Robert","contributorId":187606,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","affiliations":[],"preferred":false,"id":797063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holsinger, Lisa M.","contributorId":187607,"corporation":false,"usgs":false,"family":"Holsinger","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":797064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":797065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70212795,"text":"70212795 - 2020 - Reversal of forest soil acidification in the northeastern United States and eastern Canada: Site and soil factors contributing to recovery","interactions":[],"lastModifiedDate":"2020-08-31T12:46:47.966694","indexId":"70212795","displayToPublicDate":"2020-08-18T07:58:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5626,"text":"Soil Systems","active":true,"publicationSubtype":{"id":10}},"title":"Reversal of forest soil acidification in the northeastern United States and eastern Canada: Site and soil factors contributing to recovery","docAbstract":"<p><span>As acidic deposition has decreased across Eastern North America, forest soils at some sites are beginning to show reversal of soil acidification. However, the degree of recovery appears to vary and is not fully explained by deposition declines alone. To assess if other site and soil factors can help to explain degree of recovery from acid deposition, soil resampling chemistry data (8- to 24-year time interval) from 23 sites in the United States and Canada, located across 25° longitude from Eastern Maine to Western Ontario, were explored. Site and soil factors included recovery years, sulfate (SO</span><sub>4</sub><sup>2−</sup><span>) deposition history, SO</span><sub>4</sub><sup>2−</sup><span>&nbsp;reduction rate, C horizon pH and exchangeable calcium (Ca), O and B horizon pH, base saturation, and exchangeable Ca and aluminum (Al) at the time of the initial sampling. We found that O and B horizons that were initially acidified to a greater degree showed greater recovery and B horizon recovery was further associated with an increase in recovery years and lower initial SO</span><sub>4</sub><sup>2−</sup><span>&nbsp;deposition. Forest soils that seemingly have low buffering capacity and a reduced potential for recovery have the resilience to recover from the effects of previous high levels of acidic deposition. This suggests, that predictions of where forest soils acidification reversal will occur across the landscape should be refined to acknowledge the importance of upper soil profile horizon chemistry rather than the more traditional approach using only parent material characteristics.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/soilsystems4030054","issn":"2571-8789","usgsCitation":"Hazlett, P., Emilson, C., Lawrence, G.B., Fernandez, I.J., Ouimet, R., and Bailey, S., 2020, Reversal of forest soil acidification in the northeastern United States and eastern Canada: Site and soil factors contributing to recovery: Soil Systems, v. 4, no. 3, 54, 22 p., https://doi.org/10.3390/soilsystems4030054.","productDescription":"54, 22 p.","ipdsId":"IP-120230","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":455610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/soilsystems4030054","text":"Publisher Index Page"},{"id":377978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.615234375,\n              48.719961222646276\n            ],\n            [\n              -94.39453125,\n              45.30580259943578\n            ],\n            [\n              -93.55957031249999,\n              41.31082388091818\n            ],\n            [\n              -91.97753906249999,\n              37.16031654673677\n            ],\n            [\n              -81.650390625,\n              38.92522904714054\n            ],\n            [\n              -75.9814453125,\n              39.9434364619742\n            ],\n            [\n              -70.3564453125,\n              41.541477666790286\n            ],\n            [\n              -63.984375,\n              46.13417004624326\n            ],\n            [\n              -64.599609375,\n              49.15296965617042\n            ],\n            [\n              -79.365234375,\n              47.754097979680026\n            ],\n            [\n              -90.615234375,\n              48.719961222646276\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hazlett, P.W.","contributorId":239646,"corporation":false,"usgs":false,"family":"Hazlett","given":"P.W.","email":"","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":797473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emilson, C.E. 0000-0002-4770-1117","orcid":"https://orcid.org/0000-0002-4770-1117","contributorId":239647,"corporation":false,"usgs":false,"family":"Emilson","given":"C.E.","email":"","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":797474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fernandez, I. J. 0000-0002-7220-2205","orcid":"https://orcid.org/0000-0002-7220-2205","contributorId":239648,"corporation":false,"usgs":false,"family":"Fernandez","given":"I.","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":797476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ouimet, R. 0000-0003-1282-2493","orcid":"https://orcid.org/0000-0003-1282-2493","contributorId":239649,"corporation":false,"usgs":false,"family":"Ouimet","given":"R.","email":"","affiliations":[{"id":47952,"text":"Quebec Ministry of Forestry, Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":797477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, S.W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":239650,"corporation":false,"usgs":false,"family":"Bailey","given":"S.W.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":797478,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219093,"text":"70219093 - 2020 - Evolution of faulting induced by deep fluid injection, Paradox Valley, Colorado","interactions":[],"lastModifiedDate":"2021-03-23T12:56:08.731239","indexId":"70219093","displayToPublicDate":"2020-08-18T07:53:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of faulting induced by deep fluid injection, Paradox Valley, Colorado","docAbstract":"<p><span>High‐pressure fluid injection into a subhorizontal confined aquifer at 4.3–4.6&nbsp;km depth induced&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;gt;</mo><mn xmlns=&quot;&quot;>7000</mn></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-4\" class=\"mn\">7000</span></span></span></span><span class=\"MJX_Assistive_MathML\">&gt;7000</span></span></span><span>&nbsp;earthquakes between 1991 and 2012 within once seismically quiescent Paradox Valley in Colorado, with magnitudes up to&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-5\" class=\"math\"><span><span id=\"MathJax-Span-6\" class=\"mrow\"><span id=\"MathJax-Span-7\" class=\"msub\"><span id=\"MathJax-Span-8\" class=\"mi\">M</span><span id=\"MathJax-Span-9\" class=\"mi\">w</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;3.9. Earthquake hypocenters expanded laterally away from the well with time, defining the margins of the aquifer pressurized by injection at the well. Within 5&nbsp;km of the well, alignment of earthquake hypocenters defines strikes of nine vertical fault zones. Previous studies show that these fault zones predate injection, producing left‐stepping offsets in the normal faults of the Wray‐Mesa fault system that cradles Paradox Valley. Hypocenters, rakes, and strikes of 2041 well‐constrained focal mechanisms show that most injection‐related earthquakes occur where these vertical faults intersect the pressurized aquifer. Well‐defined focal mechanisms show that this induced seismicity consists of Riedel shear faults at acute angles to the strikes of these fault zones. These small faults develop an anastomosing fault structure of focal planes along each planar fault zone, as fluid injection continues, even as their hypocenters define a single planar fault zone. Failure conditions at each hypocenter are found using a fully coupled poroelastic analysis of stress induced by fluid injection, and this analysis indicates a minimum Coulomb failure condition of 0.1&nbsp;MPa. This failure condition is primarily a result of aquifer pore‐fluid pressurization, as almost all well‐located seismicity is within the pressurized aquifer. Reducing the rate of injection and frequent well shutdowns in the second decade nearly eliminated induced seismicity, except very near the well where gradients in pressurization are the largest. Despite these decreases in failure conditions and seismicity, some fault zones continued to produce earthquakes larger than M&nbsp;3 as injection continued.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190328","usgsCitation":"Denlinger, R.P., and Daniel R. H. O'Connell, 2020, Evolution of faulting induced by deep fluid injection, Paradox Valley, Colorado: Bulletin of the Seismological Society of America, v. 110, no. 5, p. 2308-2327, https://doi.org/10.1785/0120190328.","productDescription":"20 p.","startPage":"2308","endPage":"2327","ipdsId":"IP-099027","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":384574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Paradox Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.1162109375,\n              37.52715361723378\n            ],\n            [\n              -107.05078125,\n              37.52715361723378\n            ],\n            [\n              -107.05078125,\n              39.90973623453719\n            ],\n            [\n              -109.1162109375,\n              39.90973623453719\n            ],\n            [\n              -109.1162109375,\n              37.52715361723378\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":812708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daniel R. H. O'Connell","contributorId":255644,"corporation":false,"usgs":false,"family":"Daniel R. H. O'Connell","affiliations":[{"id":51626,"text":"Terra Tech, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":812709,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70218014,"text":"70218014 - 2020 - Nest predation and adult mortality relationships with post-natal metabolic rates and growth among songbird species","interactions":[],"lastModifiedDate":"2021-02-15T14:24:00.293261","indexId":"70218014","displayToPublicDate":"2020-08-18T07:15:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Nest predation and adult mortality relationships with post-natal metabolic rates and growth among songbird species","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\"><p id=\"p-1\">Metabolism is thought to mediate the connection between environmental selection pressures and a broad array of life history tradeoffs, but tests are needed. High juvenile predation correlates with fast growth, which may be achieved via fast juvenile metabolism. Fast offspring metabolism and growth can create physiological costs later in life that should be minimized in species with low adult mortality. Yet, relationships between juvenile metabolism and mortality at offspring versus adult stages are unexplored. We found that post-natal metabolism was positively correlated with adult mortality but not nest predation rates among 43 songbird species on three continents. Nest predation, but not adult mortality, explained additional variation in growth rates beyond metabolism. Our results suggest that metabolism may not be the mechanism underlying the relationships between growth and mortality at different life stages.</p></div><div id=\"fn-group-1\" class=\"section fn-group\"><br></div>","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.226563","usgsCitation":"Ton, R., and Mitchell, M.S., 2020, Nest predation and adult mortality relationships with post-natal metabolic rates and growth among songbird species: Journal of Experimental Biology, v. 223, jeb226563, https://doi.org/10.1242/jeb.226563.","productDescription":"jeb226563","ipdsId":"IP-087160","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":455615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.226563","text":"Publisher Index Page"},{"id":383251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","noUsgsAuthors":false,"publicationDate":"2020-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ton, Riccardo","contributorId":250680,"corporation":false,"usgs":false,"family":"Ton","given":"Riccardo","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":810225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":810224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215055,"text":"70215055 - 2020 - Hillslopes in humid-tropical climates aren’t always wet: Implications for hydrologic response and landslide initiation in Puerto Rico, USA","interactions":[],"lastModifiedDate":"2020-10-07T12:14:54.550159","indexId":"70215055","displayToPublicDate":"2020-08-17T17:11:58","publicationYear":"2020","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":"Hillslopes in humid-tropical climates aren’t always wet: Implications for hydrologic response and landslide initiation in Puerto Rico, USA","docAbstract":"<p><span>The devastating impacts of the widespread flooding and landsliding in Puerto Rico following the September 2017 landfall of Hurricane Maria highlight the increasingly extreme atmospheric disturbances and enhanced hazard potential in mountainous humid‐tropical climate zones. Long‐standing conceptual models for hydrologically driven hazards in Puerto Rico posit that hillslope soils remain wet throughout the year, and therefore, that antecedent soil wetness imposes a negligible effect on hazard potential. Our post‐Maria in situ hillslope hydrologic observations, however, indicate that while some slopes remain wet throughout the year, others exhibit appreciable seasonal and intra‐storm subsurface drainage. Therefore, we evaluated the performance of hydro‐meteorological (soil wetness and rainfall) versus intensity‐duration (rainfall only) hillslope hydrologic response thresholds that identify the onset of positive pore‐water pressure, a predisposing factor for widespread slope instability in this region. Our analyses also consider the role of soil‐water storage and infiltration rates on runoff generation, which are relevant factors for flooding hazards. We found that the hydro‐meteorological thresholds outperformed intensity‐duration thresholds for a seasonally wet, coarse‐grained soil, although they did not outperform intensity‐duration thresholds for a perennially wet, fine‐grained soil. These end‐member soils types may also produce radically different stormflow responses, with subsurface flow being more common for the coarse‐grained soils underlain by intrusive rocks versus infiltration excess and/or saturation excess for the fine‐grained soils underlain by volcaniclastic rocks. We conclude that variability in soil‐hydraulic properties, as opposed to climate zone, is the dominant factor that controls runoff generation mechanisms and modulates the relative importance of antecedent soil wetness for our hillslope hydrologic response thresholds.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13885","usgsCitation":"Thomas, M.A., Mirus, B.B., and Smith, J., 2020, Hillslopes in humid-tropical climates aren’t always wet: Implications for hydrologic response and landslide initiation in Puerto Rico, USA: Hydrological Processes, v. 34, no. 22, p. 4307-4318, https://doi.org/10.1002/hyp.13885.","productDescription":"Article: 12 p.; Data Release","startPage":"4307","endPage":"4318","ipdsId":"IP-120135","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":455618,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13885","text":"Publisher Index 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,{"id":70228621,"text":"70228621 - 2020 - Diets of Longnose Sucker in Yellowstone Lake, Yellowstone National Park, U.S.A.","interactions":[],"lastModifiedDate":"2022-02-16T12:16:00.47862","indexId":"70228621","displayToPublicDate":"2020-08-17T11:51:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Diets of Longnose Sucker in Yellowstone Lake, Yellowstone National Park, U.S.A.","docAbstract":"<p><span>Invasive species introduction and expansion is the second greatest threat to global biodiversity decline after habitat degradation. Introduced in the 1930s, the benthivorous Longnose Sucker (</span><i>Catostomus catostomus</i><span>) became established in Yellowstone Lake, Wyoming, USA, and used tributary streams for spawning. With this introduction, concerns were raised regarding their possible competition for food resources with native adfluvial Yellowstone Cutthroat Trout (</span><i>Oncorhynchus clarkii bouvieri</i><span>). Additionally, insufficient literature exists on Longnose Sucker feeding habits throughout their range, and there has been no comprehensive study of Longnose Sucker diet in Yellowstone Lake. The need exists for understanding the community ecology and food web dynamics in Yellowstone Lake, especially as non-native Lake Trout (</span><i>Salvelinus namaycush</i><span>) have caused declines in Yellowstone Cutthroat Trout through predation. The objectives of this study were to examine possible size-specific shifts in feeding habits, evaluate feeding strategy, and compare historical and contemporary diet data of Longnose Suckers in Yellowstone Lake. Diet data collected during summer of 2018 were analyzed by length-class to test for size-specific diet shifts. As Longnose Sucker length increased, copepods (</span><i>Diacyclops bicuspidatus thomasi, Leptodiaptomus ashlandi</i><span>&nbsp;or&nbsp;</span><i>Hesperodiaptomus shoshone</i><span>) decreased in proportion by weight. In contrast, dipterans (Chironomidae) and amphipods (</span><i>Hyalella</i><span>&nbsp;spp. or&nbsp;</span><i>Gammarus</i><span>&nbsp;spp.) varied in proportion by weight in the diet across length classes. We assessed the feeding strategy by evaluating the relationship between prey-specific abundance and percent frequency of occurrence. This assessment indicates that Longnose Suckers have a heterogeneous diet and generalized feeding strategy as all prey items had a prey-specific abundance value of &lt;50%. Diet composition differed significantly between historical and contemporary samples, likely related to the differences in sampling locations and possibly due to a Lake Trout-induced trophic cascade. This study established the diet composition and feeding habits of Longnose Suckers residing in Yellowstone Lake, thus, expanding our knowledge of Longnose Sucker feeding patterns and ecology.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2020.1807421","usgsCitation":"Furey, K.M., Glassic, H., Guy, C.S., Koel, T., Arnold, J.L., Doepke, P., and Bigelow, P., 2020, Diets of Longnose Sucker in Yellowstone Lake, Yellowstone National Park, U.S.A.: Journal of Freshwater Ecology, v. 35, no. 1, p. 291-303, https://doi.org/10.1080/02705060.2020.1807421.","productDescription":"13 p.","startPage":"291","endPage":"303","ipdsId":"IP-118728","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":455620,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2020.1807421","text":"Publisher Index Page"},{"id":395973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.5938720703125,\n              44.23929609118664\n            ],\n            [\n              -110.2,\n              44.23929609118664\n            ],\n            [\n              -110.2,\n              44.59633476144439\n            ],\n            [\n              -110.5938720703125,\n              44.59633476144439\n            ],\n            [\n              -110.5938720703125,\n              44.23929609118664\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Furey, Kaitlyn M.","contributorId":278612,"corporation":false,"usgs":false,"family":"Furey","given":"Kaitlyn","email":"","middleInitial":"M.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":834857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glassic, Hayley C.","contributorId":278613,"corporation":false,"usgs":false,"family":"Glassic","given":"Hayley C.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":834858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":834856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koel, Todd M.","contributorId":278608,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arnold, Jeffrey L.","contributorId":278609,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doepke, Philip D.","contributorId":278610,"corporation":false,"usgs":false,"family":"Doepke","given":"Philip D.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834854,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bigelow, Patricia E.","contributorId":278611,"corporation":false,"usgs":false,"family":"Bigelow","given":"Patricia E.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834855,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70212542,"text":"70212542 - 2020 - Increasing threat of coastal groundwater hazards from sea-level rise in California","interactions":[],"lastModifiedDate":"2023-03-27T17:14:24.747405","indexId":"70212542","displayToPublicDate":"2020-08-17T10:18:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Increasing threat of coastal groundwater hazards from sea-level rise in California","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Projected sea-level rise will raise coastal water tables, resulting in groundwater hazards that threaten shallow infrastructure and coastal ecosystem resilience. Here we model a range of sea-level rise scenarios to assess the responses of water tables across the diverse topography and climates of the California coast. With 1 m of sea-level rise, areas flooded from below are predicted to expand ~50–130 m inland, and low-lying coastal communities such as those around San Francisco Bay are most at risk. Coastal topography is a controlling factor; long-term rising water tables will intercept low-elevation drainage features, allowing for groundwater discharge that damps the extent of shoaling in ~70% (68.9–82.2%) of California’s coastal water tables. Ignoring these topography-limited responses increases flooded-area forecasts by ~20% and substantially underestimates saltwater intrusion. All scenarios estimate that areas with shallow coastal water tables will shrink as they are inundated by overland flooding or are topographically limited from rising inland.&nbsp;</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41558-020-0874-1","usgsCitation":"Befus, K., Barnard, P., Hoover, D.J., Finzi Hart, J., and Voss, C.I., 2020, Increasing threat of coastal groundwater hazards from sea-level rise in California: Nature Climate Change, v. 10, p. 946-952, https://doi.org/10.1038/s41558-020-0874-1.","productDescription":"7 p.","startPage":"946","endPage":"952","onlineOnly":"Y","ipdsId":"IP-111909","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":436819,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H5PBXP","text":"USGS data release","linkHelpText":"Projected responses of the coastal water table for California using present-day and future sea-level rise scenarios"},{"id":377690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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dhoover@usgs.gov","orcid":"https://orcid.org/0000-0002-2927-6196","contributorId":4671,"corporation":false,"usgs":true,"family":"Hoover","given":"Daniel","email":"dhoover@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":796766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finzi Hart, Juliette 0000-0003-3179-2699","orcid":"https://orcid.org/0000-0003-3179-2699","contributorId":206104,"corporation":false,"usgs":true,"family":"Finzi Hart","given":"Juliette","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":796767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voss, Clifford I.","contributorId":187698,"corporation":false,"usgs":false,"family":"Voss","given":"Clifford","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":796768,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212571,"text":"70212571 - 2020 - Trait‐based variation in host contribution to pathogen transmission across species and resource supplies","interactions":[],"lastModifiedDate":"2020-11-13T15:53:48.27936","indexId":"70212571","displayToPublicDate":"2020-08-16T09:21:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Trait‐based variation in host contribution to pathogen transmission across species and resource supplies","docAbstract":"<p><span>Two key knowledge gaps currently limit the development of more predictive and general models of pathogen transmission: (1) the physiological basis of heterogeneity in host contribution to pathogen transmission (reservoir potential) remains poorly understood, and (2) a general means of integrating the ecological dynamics of host communities has yet to emerge. If the traits responsible for differences in reservoir potential also modulate host community dynamics, these traits could be used to predict pathogen transmission as host communities change. In two greenhouse experiments, across 23 host species and two levels of resource supply, the reservoir potential of plant hosts increased significantly along the Leaf Economic Spectrum, a global axis of plant physiological trait covariation that features prominently in models of plant community ecology. This indicates that the traits of the Leaf Economic Spectrum underlie broad differences in reservoir potential across host species and resource supplies. Therefore, host traits could be used to integrate epidemiological models of pathogen transmission with ecological models of host community change.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3164","usgsCitation":"Welsh, M.E., Cronin, J.P., and Mitchell, C.E., 2020, Trait‐based variation in host contribution to pathogen transmission across species and resource supplies: Ecology, v. 101, no. 11, e03164, 12 p., https://doi.org/10.1002/ecy.3164.","productDescription":"e03164, 12 p.","ipdsId":"IP-111122","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":377724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Welsh, Miranda E","contributorId":172466,"corporation":false,"usgs":false,"family":"Welsh","given":"Miranda","email":"","middleInitial":"E","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":796889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, James P. 0000-0001-6791-5828 jcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-6791-5828","contributorId":5834,"corporation":false,"usgs":true,"family":"Cronin","given":"James","email":"jcronin@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":796890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Charles E.","contributorId":197317,"corporation":false,"usgs":false,"family":"Mitchell","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":796891,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70213139,"text":"70213139 - 2020 - EMD Gas Hydrates Committee annual report","interactions":[],"lastModifiedDate":"2020-09-10T14:14:36.876225","indexId":"70213139","displayToPublicDate":"2020-08-16T09:11:32","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"displayTitle":"EMD Gas Hydrates Committee Annual Report","title":"EMD Gas Hydrates Committee annual report","docAbstract":"Global research on the potential commercial viability of gas extraction from gas hydrates is continuing, predominantly in Asia and in the United States, where recent efforts have focused on the exploration and characterization of gas hydrate petroleum systems and conducting controlled production tests of gas hydrate deposits hosted in mostly sand-rich reservoir systems.\n\nIn 2017, gas hydrate production testing was conducted in marine settings in the offshore of Japan and China.  An additional test was conducted in the Shenhu region of the South China Sea in 2020 to further evaluate the effectiveness of various well completion technologies to produce gas from gas hydrates.  Late in 2018, a research partnership led by the U.S. Department of Energy National Energy Technology Laboratory and the Japan Oil, Gas and Metals National Corporation established a new Alaska North Slope test site for an extended gas hydrate production pilot with the completion of a stratigraphic test well.  With the successful completion of the Prudhoe Bay Unit Hydrate-01 stratigraphic test well, planning is now underway for drilling of three additional wells at the Alaska test site, which will include a geoscience data well and two production test wells.  In 2019, the Government of India released the results of one of the most comprehensive gas hydrate scientific drilling investigations ever undertaken, the leadership of the Indian National Gas Hydrate Program Expedition 02 reported on the discovery of several significant gas hydrate accumulations that were considered suitable for future gas hydrate production testing.  In September of 2019, the U.S. Geological Survey released a new assessment of the technically recoverable gas hydrate resources on the Alaska North Slope.  In 2018, the University of Texas at Austin released a comprehensive report describing the operational and initial technical results of the UT-GOM2-1 Hydrate Pressure Coring Expedition, which drilled and partially cored two wells in Green Canyon Block 955 in the deepwater Gulf of Mexico.\n\nThe results of these recently complete gas hydrate geologic and production studies have been further reviewed in this AAPG-EMD Gas Hydrate Committee report.","language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Collett, T., 2020, EMD Gas Hydrates Committee annual report, 11 p.","productDescription":"11 p.","ipdsId":"IP-119210","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":378308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378295,"type":{"id":15,"text":"Index Page"},"url":"https://www.aapg.org/about/aapg/overview/committees/emd/articleid/26345/committee-emd-gas-hydrates"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -166.46484375,\n              67.20403234340081\n            ],\n            [\n              -141.6796875,\n              67.20403234340081\n            ],\n            [\n              -141.6796875,\n              70.37785394109224\n            ],\n            [\n              -156.796875,\n              71.69129271863999\n            ],\n            [\n              -166.46484375,\n              70.37785394109224\n            ],\n            [\n              -166.46484375,\n              67.20403234340081\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":798383,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70212589,"text":"70212589 - 2020 - A multi-state occupancy modelling framework for robust estimation of disease prevalence in multi-tissue disease systems","interactions":[],"lastModifiedDate":"2020-12-14T16:00:22.571788","indexId":"70212589","displayToPublicDate":"2020-08-16T09:01:14","publicationYear":"2020","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":"A multi-state occupancy modelling framework for robust estimation of disease prevalence in multi-tissue disease systems","docAbstract":"<ol class=\"\"><li>Given the public health, economic and conservation implications of zoonotic diseases, their effective surveillance is of paramount importance. The traditional approach to estimating pathogen prevalence as the proportion of infected individuals in the population is biased because it fails to account for imperfect detection. A statistically robust way to reduce bias in prevalence estimates is to obtain repeated samples (or sample many tissues in multi‐tissue disease systems) and to apply statistical methods that account for imperfect detection and permit the interdependence of the infection process across multiple tissues.</li><li>We developed a multi‐state occupancy modelling framework which considers two scenarios about the infection process, one where no assumptions about the dependencies among the tissues are made (general), and another where dependence among tissues is not permitted (constrained).</li><li>We applied this framework to pseudorabies virus (PrV) DNA detection data obtained from whole blood; and oral, nasal and genital mucosa of 510 feral swine<span>&nbsp;</span><i>Sus scrofa</i><span>&nbsp;</span>during the years 2014–2016 in Florida, USA.</li><li>The constrained model was better supported by data. PrV prevalence estimates varied among tissues and were higher than the naïve estimates, ranging from to 0.06 (CI: 0.02–0.14) in genital to 0.54 (CI: 0.14 ‐ 0.82) in nasal tissue. Probability of PrV detection ranged from 0.11 (CI: 0.06–0.18) in nasal to 0.51 (CI: 0.21–0.81) in genital tissue.</li><li>PrV prevalence was not affected by the age or sex of the animal or the year of sampling, but prevalence increased as drought severity increased.</li><li>The conditional probability of detecting PrV given infection in at least one tissue type within an individual was highest for nasal tissue, suggesting that nasal is the best tissue to sample for PrV surveillance if only one tissue can be sampled, at least for systems with tissue‐specific prevalence and detection probabilities similar to ours.</li><li><i>Synthesis and applications</i>. We focused on inferences about pathogen prevalence in multi‐tissue disease systems, dealing with both nondetection and potential dependencies among tissues in infection status. We found strong evidence of variation in both prevalence and detection probabilities among tissues. Our results emphasize the importance of sampling multiple tissues and of applying inference methods that account for imperfect detection in the surveillance of systemic diseases. The multi‐state modelling framework is broadly applicable to the surveillance of pathogens that infect multiple tissues and can be used even when the infection status of the pathogen in one tissue may depend on the infection status of the pathogen in other tissue(s).</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13744","usgsCitation":"Chaudhary, V., Wisely, S.M., Hernandez, F.A., Hines, J.E., Nichols, J.D., and Oli, M.K., 2020, A multi-state occupancy modelling framework for robust estimation of disease prevalence in multi-tissue disease systems: Journal of Applied Ecology, v. 57, no. 12, p. 2463-2474, https://doi.org/10.1111/1365-2664.13744.","productDescription":"12 p.","startPage":"2463","endPage":"2474","ipdsId":"IP-115580","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":455624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13744","text":"Publisher Index Page"},{"id":377721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chaudhary, Vratika 0000-0001-7155-122X","orcid":"https://orcid.org/0000-0001-7155-122X","contributorId":238946,"corporation":false,"usgs":false,"family":"Chaudhary","given":"Vratika","email":"","affiliations":[{"id":47827,"text":"Univ. of FL.","active":true,"usgs":false}],"preferred":false,"id":796925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wisely, Samantha M","contributorId":193055,"corporation":false,"usgs":false,"family":"Wisely","given":"Samantha","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":796926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hernandez, Felipe A","contributorId":238947,"corporation":false,"usgs":false,"family":"Hernandez","given":"Felipe","email":"","middleInitial":"A","affiliations":[{"id":47827,"text":"Univ. of FL.","active":true,"usgs":false}],"preferred":false,"id":796927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oli, Madan K. 0000-0001-6944-0061","orcid":"https://orcid.org/0000-0001-6944-0061","contributorId":201302,"corporation":false,"usgs":false,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":796930,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219574,"text":"70219574 - 2020 - Beyond sticks and stones: Integrating physical and ecological conditions into watershed restoration assessments using a food web modeling approach","interactions":[],"lastModifiedDate":"2021-04-14T12:07:30.422751","indexId":"70219574","displayToPublicDate":"2020-08-16T07:03:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"Beyond sticks and stones: Integrating physical and ecological conditions into watershed restoration assessments using a food web modeling approach","docAbstract":"<p><span>Watershed assessments have become common for prioritizing restoration in river networks. These assessments primarily focus on geomorphic conditions of rivers but less frequently incorporate non-geomorphic abiotic factors such as water chemistry and temperature, and biotic factors such as the structure of food webs. Using a dynamic food web model that integrates physical and ecological environmental conditions of rivers, we simulated how juvenile salmon (</span><i>Oncorhynchus</i><span>&nbsp;spp.) biomass responded to restoration at twelve sites distributed across the Methow River (Washington, USA), ranging from headwater tributaries to mainstem reaches. We explored responses to three common river restoration strategies: (1) physical habitat modification, (2) nutrient supplementation, and (3) increased riparian vegetation cover. We also simulated how different food web configurations that exist in salmon-bearing streams, such as the presence of ‘non-target’ fishes and ‘armored’ predation resistant invertebrates, could mediate restoration outcomes. Some locations in the river network experienced relatively large increases in modeled fish biomass with restoration, whereas other locations were almost entirely unresponsive. Spatial variation in restoration outcomes was primarily controlled by non-geomorphic environmental conditions, such as nutrient availability, water temperature, and stream canopy cover. Restoration responses also varied significantly with different food web configurations, suggesting that as the structure of food webs varies across river networks, so too could the outcome of restoration. These findings illustrate that ecological responses to restoration may exhibit substantial spatial variation within river networks, resulting from heterogeneity in environmental conditions that are commonly overlooked—but which can and should be considered—in restoration planning and prioritization.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2020.e00160","usgsCitation":"Whitney, E.J., Bellmore, J.R., Benjamin, J.R., Jordan, C.E., Dunham, J.B., Newsom, M., and Nahorniak, M., 2020, Beyond sticks and stones: Integrating physical and ecological conditions into watershed restoration assessments using a food web modeling approach: Food Webs, v. 25, e00160, 16 p., https://doi.org/10.1016/j.fooweb.2020.e00160.","productDescription":"e00160, 16 p.","ipdsId":"IP-117798","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":455628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2020.e00160","text":"Publisher Index Page"},{"id":385077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Washington","otherGeospatial":"Methow  River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.6685791015625,\n              48.59023420704331\n            ],\n            [\n              -119.10415649414061,\n              48.59023420704331\n            ],\n            [\n              -119.10415649414061,\n              48.99824008113872\n            ],\n            [\n              -119.6685791015625,\n              48.99824008113872\n            ],\n            [\n              -119.6685791015625,\n              48.59023420704331\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whitney, Emily J","contributorId":257423,"corporation":false,"usgs":false,"family":"Whitney","given":"Emily","email":"","middleInitial":"J","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":814213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bellmore, James R 0000-0002-5140-6460","orcid":"https://orcid.org/0000-0002-5140-6460","contributorId":195609,"corporation":false,"usgs":false,"family":"Bellmore","given":"James","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":814214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","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":814215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, Chris E","contributorId":217592,"corporation":false,"usgs":false,"family":"Jordan","given":"Chris","email":"","middleInitial":"E","affiliations":[{"id":39677,"text":"National Marine Fisheries Service, National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":814216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":814217,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newsom, Michael","contributorId":178562,"corporation":false,"usgs":false,"family":"Newsom","given":"Michael","affiliations":[],"preferred":false,"id":814218,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nahorniak, Matt","contributorId":257424,"corporation":false,"usgs":false,"family":"Nahorniak","given":"Matt","email":"","affiliations":[{"id":52015,"text":"South Fork Research","active":true,"usgs":false}],"preferred":false,"id":814219,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70248734,"text":"70248734 - 2020 - What to do when invaders are out of control?","interactions":[],"lastModifiedDate":"2023-09-19T11:47:44.296207","indexId":"70248734","displayToPublicDate":"2020-08-15T06:44:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"What to do when invaders are out of control?","docAbstract":"<p>Biological invasions threaten species and ecosystems worldwide. Impacts from invasions are especially prevalent in freshwaters, where managers have struggled to contain the problem. Conventional approaches to managing invaders focus on prevention and control. In practice, these measures have proven to be variably effective. Control or eradication of established invaders is particularly difficult and, even if ecologically feasible, it may not be socially desirable. Here we propose a new alternative to managing invasive species: managing impact modifiers (MIM). The MIM approach focuses on managing impacts, rather than controlling the invader directly. We reviewed the literature for the world's worst invasive fishes in freshwaters to show there is strong evidence to support the potential for MIM as an effective means of managing impacts of invasions. This included evidence pointing to characteristics of the environment or species themselves that modify impacts of invasions. Detail of three case studies reinforces the potential for MIM as a viable option. Although MIM appears promising, effective application could involve significant investment in an information gathering phase to identify impact modifiers and the means to manage them. Accordingly, MIM is best incorporated into management plans that include a strong learning or adaptive component. Ultimately, MIM may be one of the only viable alternatives for managing invasive species that are truly out of control.</p>","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1476","usgsCitation":"Dunham, J., Arismendi, I., Murphy, C., Koeberle, A., Olivos, J.A., Pearson, J.B., Pickens, F., Roon, D., and Stevenson, J.R., 2020, What to do when invaders are out of control?: WIREs Water, v. 7, no. 5, e1476, 13 p., https://doi.org/10.1002/wat2.1476.","productDescription":"e1476, 13 p.","ipdsId":"IP-115614","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":420940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":883365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arismendi, Ivan 0000-0002-8774-9350","orcid":"https://orcid.org/0000-0002-8774-9350","contributorId":202207,"corporation":false,"usgs":false,"family":"Arismendi","given":"Ivan","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Christina","contributorId":329814,"corporation":false,"usgs":false,"family":"Murphy","given":"Christina","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koeberle, Alex","contributorId":329815,"corporation":false,"usgs":false,"family":"Koeberle","given":"Alex","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olivos, J Andres","contributorId":329816,"corporation":false,"usgs":false,"family":"Olivos","given":"J","email":"","middleInitial":"Andres","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883369,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearson, James B","contributorId":221480,"corporation":false,"usgs":false,"family":"Pearson","given":"James","email":"","middleInitial":"B","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":883370,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pickens, Francisco","contributorId":329817,"corporation":false,"usgs":false,"family":"Pickens","given":"Francisco","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883371,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roon, David","contributorId":257063,"corporation":false,"usgs":false,"family":"Roon","given":"David","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":883372,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stevenson, John R.","contributorId":147936,"corporation":false,"usgs":false,"family":"Stevenson","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":883373,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70216784,"text":"70216784 - 2020 - Slender salamanders (genus Batrachoseps) reveal Southern California to be a center for the diversification, persistence, and introduction of salamander lineages","interactions":[],"lastModifiedDate":"2020-12-07T16:47:28.057194","indexId":"70216784","displayToPublicDate":"2020-08-14T10:37:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Slender salamanders (genus <i>Batrachoseps</i>) reveal Southern California to be a center for the diversification, persistence, and introduction of salamander lineages","title":"Slender salamanders (genus Batrachoseps) reveal Southern California to be a center for the diversification, persistence, and introduction of salamander lineages","docAbstract":"<h2 class=\"heading\">Background</h2><p>The southern California biodiversity hotspot has had a complex geological history, with both plate tectonic forces and sea level changes repeatedly reconfiguring the region, and likely driving both lineage splittings and extinctions. Here we investigate patterns of genetic divergence in two species of slender salamanders (Plethodontidae:<span>&nbsp;</span><i>Batrachoseps</i>) in this region. The complex geological history in combination with several organismal traits led us to predict that these species harbor multiple ancient mitochondrial lineages endemic to southern California. These species belong to a clade characterized by fine-scale mitochondrial structure, which has been shown to track ancient splits. Both focal species,<span>&nbsp;</span><i>Batrachoseps major</i><span>&nbsp;</span>and<span>&nbsp;</span><i>B. nigriventris</i>, are relatively widely distributed in southern California, and estimated to have persisted there across millions of years. Recently several extralimital populations of<span>&nbsp;</span><i>Batrachoseps</i><span>&nbsp;</span>were found in the San Joaquin Valley of California, a former desert area that has been extensively modified for agriculture. The origins of these populations are unknown, but based on morphology, they are hypothesized to result from human-mediated introductions of<span>&nbsp;</span><i>B. major</i>.</p><h2 class=\"heading\">Methods</h2><p>We sequenced the mitochondrial gene<span>&nbsp;</span><i>cytochrome b</i><span>&nbsp;</span>from a geographically comprehensive sampling of the mitochondrial lineages of<span>&nbsp;</span><i>B. major</i><span>&nbsp;</span>and<span>&nbsp;</span><i>B. nigriventris</i><span>&nbsp;</span>that are endemic to southern California. We used phylogenetic analyses to characterize phylogeographic structure and identify mitochondrial contact zones. We also included the San Joaquin Valley samples to test whether they resulted from introductions. We used a bootstrap resampling approach to compare the strength of isolation-by-distance in both<span>&nbsp;</span><i>Batrachoseps</i><span>&nbsp;</span>species and four other salamander species with which they co-occur in southern California.</p><h2 class=\"heading\">Results</h2><p>The northern lineage of<span>&nbsp;</span><i>B. major</i><span>&nbsp;</span>harbors at least eight deeply differentiated, geographically cohesive mitochondrial subclades. We identify geographic contact between many of these mtDNA lineages and some biogeographic features that are concordant with lineage boundaries.<span>&nbsp;</span><i>Batrachoseps nigriventris</i><span>&nbsp;</span>also has multiple deeply differentiated clades within the region. Comparative analyses highlight the smaller spatial scales over which mitochondrial divergence accumulates in<span>&nbsp;</span><i>Batrachoseps</i><span>&nbsp;</span>relative to most other salamander species in southern California. The extralimital populations of<span>&nbsp;</span><i>Batrachoseps</i><span>&nbsp;</span>from the San Joaquin Valley are assigned to<span>&nbsp;</span><i>B. major</i><span>&nbsp;</span>and are shown to result from at least two independent introductions from different source populations. We also suggest that<span>&nbsp;</span><i>B. major</i><span>&nbsp;</span>on Catalina Island, where it is considered native, may be the result of an introduction. Some of the same traits that facilitate the build-up of deep phylogeographic structure in<span>&nbsp;</span><i>Batrachoseps</i><span>&nbsp;</span>likely also contribute to its propensity for introductions, and we anticipate that additional introduced populations will be discovered.</p>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.9599","usgsCitation":"Jockusch, E.L., Hansen, R.W., Fisher, R.N., and Wake, D., 2020, Slender salamanders (genus Batrachoseps) reveal Southern California to be a center for the diversification, persistence, and introduction of salamander lineages: PeerJ, v. 8, e9599, 37 p., https://doi.org/10.7717/peerj.9599.","productDescription":"e9599, 37 p.","ipdsId":"IP-119579","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":455632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.9599","text":"Publisher Index Page"},{"id":381041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.09228515624999,\n              32.54681317351514\n            ],\n            [\n              -115.411376953125,\n              32.731840896865684\n            ],\n            [\n              -116.34521484375001,\n              34.23451236236987\n            ],\n            [\n              -116.378173828125,\n              35.42486791930558\n            ],\n            [\n              -118.377685546875,\n              36.94989178681327\n            ],\n            [\n              -119.86083984375,\n              37.76202988573211\n            ],\n      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             -122.80517578125,\n              37.91820111976663\n            ],\n            [\n              -122.15698242187499,\n              36.96744946416934\n            ],\n            [\n              -121.83837890625,\n              36.32397712011264\n            ],\n            [\n              -121.17919921875001,\n              35.523285179107816\n            ],\n            [\n              -120.7177734375,\n              35.0120020431607\n            ],\n            [\n              -120.684814453125,\n              34.58799745550482\n            ],\n            [\n              -120.4541015625,\n              33.815666308702774\n            ],\n            [\n              -118.57543945312501,\n              32.54681317351514\n            ],\n            [\n              -117.09228515624999,\n              32.54681317351514\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Jockusch, Elizabeth L","contributorId":245467,"corporation":false,"usgs":false,"family":"Jockusch","given":"Elizabeth","email":"","middleInitial":"L","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":806243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Robert W","contributorId":245468,"corporation":false,"usgs":false,"family":"Hansen","given":"Robert","email":"","middleInitial":"W","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":806244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":806245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wake, David B","contributorId":245469,"corporation":false,"usgs":false,"family":"Wake","given":"David B","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":806246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70212610,"text":"70212610 - 2020 - Winter survival of female Ring-Necked Ducks in the Southern Atlantic Flyway","interactions":[],"lastModifiedDate":"2020-10-28T15:53:05.262236","indexId":"70212610","displayToPublicDate":"2020-08-14T09:00:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Winter survival of female Ring-Necked Ducks in the Southern Atlantic Flyway","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>North American waterfowl harvest regulations are largely guided by the status of breeding populations. Nonetheless, understanding the demographics of wintering waterfowl populations can elucidate the effects of hunting pressure on population dynamics. The ring‐necked duck (<i>Aythya collaris</i>) breeds and winters in all North American administrative flyways and is one of the most abundant and most harvested diving ducks in the Atlantic Flyway. But few studies have investigated the winter ecology of ring‐necked ducks. We used a known‐fate analysis to estimate period survival probability using data from 87 female ring‐necked ducks marked with satellite transmitters in 2 regions of the southern Atlantic Flyway during winters of 2017–2018 and 2018–2019. Winter (128‐day) survival probability was higher for individuals in the Red Hills region of southern Georgia and northern Florida (0.875, 95% CI = 0.691–0.952) than individuals in central South Carolina (0.288, 95% CI = 0.082–0.514). We attribute the regional disparity in winter survival probabilities to differences in hunting pressure, which are reflected in the number of harvests we observed in each region. Our findings warrant further investigation into regional variation in winter survival of southern Atlantic Flyway ring‐necked ducks, and, specifically, the relationship between variable harvest pressure and winter survival and its influence on ring‐necked duck population dynamics and adaptive harvest management decisions.&nbsp;</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21943","usgsCitation":"Mezebish, T.D., Olsen, G.H., Goodman, M., Rohwer, F., and McConnell, M.D., 2020, Winter survival of female Ring-Necked Ducks in the Southern Atlantic Flyway: Journal of Wildlife Management, v. 84, no. 8, p. 1527-1535, https://doi.org/10.1002/jwmg.21943.","productDescription":"9 p.","startPage":"1527","endPage":"1535","ipdsId":"IP-115933","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":377787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Mezebish, Tori D.","contributorId":239496,"corporation":false,"usgs":false,"family":"Mezebish","given":"Tori","email":"","middleInitial":"D.","affiliations":[{"id":27618,"text":"University of Georgia, Warnell School of Forestry and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":797079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olsen, Glenn H. 0000-0002-7188-6203","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":238130,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":797080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodman, Michele","contributorId":239497,"corporation":false,"usgs":false,"family":"Goodman","given":"Michele","email":"","affiliations":[{"id":47893,"text":"Elmwood Park Zoo, Norristown, Pennyslvania","active":true,"usgs":false}],"preferred":false,"id":797081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohwer, Frank C.","contributorId":239498,"corporation":false,"usgs":false,"family":"Rohwer","given":"Frank C.","affiliations":[{"id":47894,"text":"Delta Waterfowl, Bismark North Dakota","active":true,"usgs":false}],"preferred":false,"id":797082,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McConnell, Mark D.","contributorId":239499,"corporation":false,"usgs":false,"family":"McConnell","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":47895,"text":"College of Forest Resources, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":797083,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212504,"text":"70212504 - 2020 - Capturing spatiotemporal patterns in presence-absence data to inform monitoring and sampling designs for the threatened Dakota skipper (Lepidoptera: Hesperiidae)  in the Great Plains of the United States","interactions":[],"lastModifiedDate":"2020-10-28T15:47:42.467946","indexId":"70212504","displayToPublicDate":"2020-08-14T08:56:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1536,"text":"Environmental Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Capturing spatiotemporal patterns in presence-absence data to inform monitoring and sampling designs for the threatened Dakota skipper (Lepidoptera: Hesperiidae)  in the Great Plains of the United States","docAbstract":"<p><span>Declines among species of insect pollinators, especially butterflies, has garnered attention from scientists and managers. Often these declines have spurred governments to declare some species as threatened or endangered. We used existing presence–absence data from surveys for the threatened Dakota skipper&nbsp;</span><i>Hesperia dacotae</i><span>&nbsp;(Skinner) to build statistical maps of species presence that could be used to inform future monitoring designs. We developed a hierarchical Bayesian modeling approach to estimate the spatial distribution and temporal trend in Dakota skipper probability of presence. Our model included a spatial random effect and fixed effects for the proportion of two grassland habitat types: those on well-drained soils and those on poorly drained soils; as well as the topographic slope. The results from this model were then used to assess sampling strategies with two different monitoring objectives: locating new Dakota skipper colonies or monitoring the proportion of historically (pre-2000) extant colonies. Our modeling results suggested that the distribution of Dakota skippers followed the distribution of remnant grasslands and that probabilities of presence tended to be higher in topographically diverse grasslands with well-drained soils. Our analysis also showed that the probability of presence declined throughout the northern Great Plains range. Our simulations of the different sampling designs suggested that new detections were expected when sampling where Dakota skippers likely occurred historically, but this may lead to a tradeoff with monitoring existing sites. Prior information about the extant sites may help to ameliorate this tradeoff.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ee/nvaa081","usgsCitation":"Post van der Burg, M., Austin, J.E., Wiltermuth, M.T., Newton, W.E., and MacDonald, G.J., 2020, Capturing spatiotemporal patterns in presence-absence data to inform monitoring and sampling designs for the threatened Dakota skipper (Lepidoptera: Hesperiidae)  in the Great Plains of the United States: Environmental Entomology, v. 49, no. 5, p. 1252-1261, https://doi.org/10.1093/ee/nvaa081.","productDescription":"10 p.","startPage":"1252","endPage":"1261","ipdsId":"IP-113665","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":455635,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ee/nvaa081","text":"Publisher Index Page"},{"id":377598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, North Dakota, South Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.72412109375,\n              42.68243539838623\n            ],\n            [\n              -91.91162109375,\n              42.89206418807337\n            ],\n            [\n              -91.318359375,\n              43.30919109985686\n            ],\n            [\n              -91.51611328125,\n              43.83452678223682\n            ],\n            [\n              -92.900390625,\n              44.85586880735725\n            ],\n            [\n              -93.0322265625,\n              45.78284835197676\n            ],\n            [\n              -94.68017578125,\n              48.647427805533546\n            ],\n            [\n              -95.77880859375,\n              48.951366470947725\n            ],\n            [\n              -103.90869140625,\n              48.951366470947725\n            ],\n            [\n              -100.39306640625,\n              43.35713822211053\n            ],\n            [\n              -94.72412109375,\n              42.68243539838623\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiltermuth, Mark T. 0000-0002-8871-2816 mwiltermuth@usgs.gov","orcid":"https://orcid.org/0000-0002-8871-2816","contributorId":708,"corporation":false,"usgs":true,"family":"Wiltermuth","given":"Mark","email":"mwiltermuth@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newton, Wesley E. 0000-0002-1377-043X wnewton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-043X","contributorId":3661,"corporation":false,"usgs":true,"family":"Newton","given":"Wesley","email":"wnewton@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacDonald, Garrett J. 0000-0002-9487-7721","orcid":"https://orcid.org/0000-0002-9487-7721","contributorId":238820,"corporation":false,"usgs":true,"family":"MacDonald","given":"Garrett","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212556,"text":"70212556 - 2020 - Quantifying ecospace utilization and ecosystemengineering during the early Phanerozoic—The role of bioturbation and bioerosion","interactions":[],"lastModifiedDate":"2020-08-21T12:36:32.034129","indexId":"70212556","displayToPublicDate":"2020-08-14T08:33:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying ecospace utilization and ecosystemengineering during the early Phanerozoic—The role of bioturbation and bioerosion","docAbstract":"<p><span>The Cambrian explosion (CE) and the great Ordovician biodiversification event (GOBE) are the two most important radiations in Paleozoic oceans. We quantify the role of bioturbation and bioerosion in ecospace utilization and ecosystem engineering using information from 1367 stratigraphic units. An increase in all diversity metrics is demonstrated for the Ediacaran-Cambrian transition, followed by a decrease in most values during the middle to late Cambrian, and by a more modest increase during the Ordovician. A marked increase in ichnodiversity and ichnodisparity of bioturbation is shown during the CE and of bioerosion during the GOBE. Innovations took place first in offshore settings and later expanded into marginal-marine, nearshore, deep-water, and carbonate environments. This study highlights the importance of the CE, despite its Ediacaran roots. Differences in infaunalization in offshore and shelf paleoenvironments favor the hypothesis of early Cambrian wedge-shaped oxygen minimum zones instead of a horizontally stratified ocean.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.abb0618","usgsCitation":"Buatois, L.A., Mangano, M.G., Minter, N.J., Zhou, K., Wisshak, M., Wilson, M.A., and Olea, R., 2020, Quantifying ecospace utilization and ecosystemengineering during the early Phanerozoic—The role of bioturbation and bioerosion: Science Advances, v. 6, no. 33, eabb0618, 12 p., https://doi.org/10.1126/sciadv.abb0618.","productDescription":"eabb0618, 12 p.","onlineOnly":"Y","ipdsId":"IP-117225","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":455638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.abb0618","text":"Publisher Index Page"},{"id":377682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"33","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buatois, Luis A. 0000-0001-9523-750X","orcid":"https://orcid.org/0000-0001-9523-750X","contributorId":195823,"corporation":false,"usgs":false,"family":"Buatois","given":"Luis","email":"","middleInitial":"A.","affiliations":[{"id":35641,"text":"Kansas Geological Survey","active":true,"usgs":false}],"preferred":false,"id":796849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangano, M. Gabriela 0000-0001-8747-6033","orcid":"https://orcid.org/0000-0001-8747-6033","contributorId":238882,"corporation":false,"usgs":false,"family":"Mangano","given":"M.","email":"","middleInitial":"Gabriela","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":796850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minter, Nicholas J 0000-0002-4246-8539","orcid":"https://orcid.org/0000-0002-4246-8539","contributorId":238883,"corporation":false,"usgs":false,"family":"Minter","given":"Nicholas","email":"","middleInitial":"J","affiliations":[{"id":38839,"text":"University of Portsmouth","active":true,"usgs":false}],"preferred":false,"id":796851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhou, Kai","contributorId":238884,"corporation":false,"usgs":false,"family":"Zhou","given":"Kai","email":"","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":796852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wisshak, Max 0000-0001-7531-3317","orcid":"https://orcid.org/0000-0001-7531-3317","contributorId":238885,"corporation":false,"usgs":false,"family":"Wisshak","given":"Max","email":"","affiliations":[{"id":47815,"text":"Senckenberg am Meer: Wilhelmshaven, Niedersachsen, DE","active":true,"usgs":false}],"preferred":false,"id":796853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Mark A. 0000-0002-4651-0589","orcid":"https://orcid.org/0000-0002-4651-0589","contributorId":208038,"corporation":false,"usgs":false,"family":"Wilson","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":37683,"text":"College of Wooster, OH","active":true,"usgs":false}],"preferred":false,"id":796854,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":224285,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":796855,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70211972,"text":"sir20205089 - 2020 - Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2020","interactions":[],"lastModifiedDate":"2020-08-14T14:22:37.455961","indexId":"sir20205089","displayToPublicDate":"2020-08-13T12:39:14","publicationYear":"2020","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":"2020-5089","displayTitle":"Status of Groundwater-Level Altitudes and Long-Term Groundwater-Level Changes in the Chicot, Evangeline, and Jasper Aquifers, Houston-Galveston Region, Texas, 2020","title":"Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2020","docAbstract":"<p>Since the early 1900s, most of the groundwater withdrawals in the Houston-Galveston region, Texas, have been from the three primary aquifers that compose the Gulf Coast aquifer system—the Chicot, Evangeline, and Jasper aquifers. Withdrawals from these aquifers are used for municipal supply, commercial and industrial use, and irrigation. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting the status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers in the Houston-Galveston region. This report contains regional-scale maps depicting approximate 2020 groundwater-level altitudes (represented by measurements made during December 2019 through March 2020) and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers.</p><p>In 2020, groundwater-level-altitude contours for the Chicot aquifer ranged from 150 feet (ft) below the North American Vertical Datum of 1988 (hereinafter referred to as “datum”) to 200 ft above datum. The 1977–2020 groundwater-level-change contours for the Chicot aquifer depict a large area of decline in groundwater-level altitudes (120 ft) in northwestern Harris County. The largest rise in groundwater-level altitudes in the Chicot aquifer from 1977 to 2020 (200 ft) was in southeastern Harris County.</p><p>In 2020, groundwater-level-altitude contours for the Evangeline aquifer ranged from 250 ft below datum to 200 ft above datum. The 1977–2020 groundwater-level-change contours for the Evangeline aquifer depict broad areas where groundwater-level altitudes either declined or rose. The largest decline in groundwater-level altitudes (280 ft) was in southern Montgomery and northern Harris Counties. The largest rise in groundwater-level altitudes in the Evangeline aquifer from 1977 to 2020 (240 ft) was in southeastern Harris County.</p><p>In 2020, groundwater-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum to 250 ft above datum. The 2000–20 groundwater-level-change contours for the Jasper aquifer depict groundwater-level declines throughout most of the study area where groundwater-level-altitude data from the Jasper aquifer were collected, with the largest decline (220 ft) in southern Montgomery County.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205089","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Braun, C.L., and Ramage, J.K., 2020, Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2020: U.S. Geological Survey Scientific Investigations Report 2020–5089, 18 p., https://doi.org/10.3133/sir20205089.","productDescription":"Report: v, 18 p.; 2 Data Releases","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-118353","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":377449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5089/coverthb.jpg"},{"id":377450,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5089/sir20205089.pdf","text":"Report","size":"13.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5089"},{"id":377451,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90EJL2E","text":"USGS data release","description":"USGS data release","linkHelpText":"Depth to groundwater measured from wells completed in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2020"},{"id":377452,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98IX48O","text":"USGS data release","description":"USGS data release","linkHelpText":"Groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2020"}],"country":"United States","state":"Texas","city":"Galveston, Houston","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.35882568359375,\n              29.556734316910855\n            ],\n            [\n              -94.79827880859375,\n              30.107117887092357\n            ],\n            [\n              -95.39154052734374,\n              30.401306519203583\n            ],\n            [\n              -95.635986328125,\n              30.61191363386011\n            ],\n            [\n              -95.86395263671875,\n              30.774878871959746\n            ],\n            [\n              -96.6412353515625,\n              30.09286062952815\n            ],\n            [\n              -95.70465087890625,\n              28.72190478475891\n            ],\n            [\n              -94.35882568359375,\n              29.556734316910855\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/tx-water\" href=\"https://www.usgs.gov/centers/tx-water\">Oklahoma-Texas Water Science Center</a> <br>U.S. Geological Survey <br>1505 Ferguson Lane <br>Austin, TX 78754–4501</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Groundwater-Level Altitudes and Long-Term Groundwater-Level Changes</li><li>Data Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-08-13","noUsgsAuthors":false,"publicationDate":"2020-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":796029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":796030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211901,"text":"cir1466 - 2020 - Strategic Plan for the North American Breeding Bird Survey, 2020–30","interactions":[{"subject":{"id":79922,"text":"cir1307 - 2007 - Strategic Plan for the North American Breeding Bird Survey: 2006-2010","indexId":"cir1307","publicationYear":"2007","noYear":false,"title":"Strategic Plan for the North American Breeding Bird Survey: 2006-2010"},"predicate":"SUPERSEDED_BY","object":{"id":70211901,"text":"cir1466 - 2020 - Strategic Plan for the North American Breeding Bird Survey, 2020–30","indexId":"cir1466","publicationYear":"2020","noYear":false,"title":"Strategic Plan for the North American Breeding Bird Survey, 2020–30"},"id":1}],"lastModifiedDate":"2024-03-04T19:17:17.051404","indexId":"cir1466","displayToPublicDate":"2020-08-13T12:20:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1466","displayTitle":"Strategic Plan for the North American Breeding Bird Survey, 2020–30","title":"Strategic Plan for the North American Breeding Bird Survey, 2020–30","docAbstract":"<p>The North American Breeding Bird Survey (BBS) has been the cornerstone of continental bird conservation and management for hundreds of North American bird species in the United States and Canada for more than 50 years. This strategic plan was developed in collaboration with key partners and stakeholders and charts the ambitious course for the BBS over the next decade (2020–30). Using this plan as a guide, the BBS program will set out to improve the breadth and depth of standardized data collection and analytical products; ensure its products are widely used and recognized as the authoritative source for long-term population change information for most birds; and secure adequate resources, internally and through partnerships, to realize the expanded vision of the BBS intended to support avian management needs through 2030.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1466","usgsCitation":"U.S. Geological Survey and Canadian Wildlife Service, 2020, Strategic Plan for the North American Breeding Bird Survey, 2020–30: U.S. Geological Survey Circular 1466, 10 p., https://doi.org/10.3133/cir1466. [Supersedes USGS Circular 1307.]","productDescription":"vi, 10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-118858","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":377479,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1466/cir1466.pdf","text":"Report","size":"24.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1466"},{"id":377478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1466/coverthb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.2412109375,\n              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Circular 1307.","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>12100 Beech Forest Road<br>Laurel, MD 20708-4039</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Vision</li><li>Mission</li><li>Strategic Goals and Objectives</li><li>References Cited</li><li>Appendix 1. Overview and Brief History of the North American Breeding Bird Survey</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-08-13","noUsgsAuthors":false,"publicationDate":"2020-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128037,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":796149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canadian Wildlife Service","contributorId":238145,"corporation":true,"usgs":false,"organization":"Canadian Wildlife Service","id":796150,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212573,"text":"70212573 - 2020 - Moving from decision to action in conservation science","interactions":[],"lastModifiedDate":"2020-08-21T14:33:29.133142","indexId":"70212573","displayToPublicDate":"2020-08-13T09:29:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Moving from decision to action in conservation science","docAbstract":"<p><span>Biodiversity loss is a major threat to the integrity of ecosystems and is projected to worsen, yet the path to successful conservation remains elusive. Decision support frameworks (DSFs) are increasingly applied by resource managers to navigate the complexity, uncertainty, and differing socio-ecological objectives inherent to conservation problems. Most published conservation research that uses DSFs focuses on analytical stages (e.g., identifying an optimal decision), making it difficult to assess and learn from previous examples in a conservation practice context. Here, we (1) evaluate the relationship between the application of decision science and the resulting conservation outcomes, and (2) identify and address existing barriers to the application of DSFs to conservation practice. To do this, we develop a framework for evaluating conservation initiatives using decision science that emphasizes setting attainable goals, building momentum, and obtaining partner buy-in. We apply this framework to a systematic review of amphibian conservation decision support projects, including a follow-up survey of the pertinent conservation practitioners, stakeholders, and scientists. We found that all projects identified optimal solutions to reach stated objectives, but positive conservation outcomes were limited when implementation challenges arose. Further, we identified multiple barriers (e.g., dynamic and hierarchical leadership, scale complexity, limited resource availability) that can inhibit the progression from decision identification to action implementation (i.e., ‘decision-implementation gap’), and to successful conservation outcomes. Based on these results, we provide potential actionable steps and avenues for future development of DSFs to facilitate the transition from decision to action and the realization of conservation successes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2020.108698","usgsCitation":"Wright, A., Bernard, R.F., Mosher, B.A., O'Donnell, K., Braunagel, T., DiRenzo, G.V., Fleming, J.E., Shafer, C., Brand, A.B., Zipkin, E.F., and Campbell Grant, E.H., 2020, Moving from decision to action in conservation science: Biological Conservation, v. 249, 108698, 11 p., https://doi.org/10.1016/j.biocon.2020.108698.","productDescription":"108698, 11 p.","ipdsId":"IP-118950","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":455642,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2020.108698","text":"Publisher Index Page"},{"id":377726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"249","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Alexander","contributorId":238924,"corporation":false,"usgs":false,"family":"Wright","given":"Alexander","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":796895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernard, Riley F 0000-0002-1321-3625","orcid":"https://orcid.org/0000-0002-1321-3625","contributorId":238925,"corporation":false,"usgs":false,"family":"Bernard","given":"Riley","email":"","middleInitial":"F","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":796896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosher, Brittany A.","contributorId":189579,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":796897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Donnell, Katherine 0000-0001-9023-174X","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":216367,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Katherine","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":796898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braunagel, Taylor","contributorId":238929,"corporation":false,"usgs":false,"family":"Braunagel","given":"Taylor","email":"","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":796899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DiRenzo, Graziella V.","contributorId":192177,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":796900,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796901,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shafer, Charles 0000-0002-1864-2461 cshafer@usgs.gov","orcid":"https://orcid.org/0000-0002-1864-2461","contributorId":238932,"corporation":false,"usgs":true,"family":"Shafer","given":"Charles","email":"cshafer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796902,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":796903,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":796904,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 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,{"id":70214473,"text":"70214473 - 2020 - Biological effects of hydrocarbon degradation intermediates: Is the total petroleum hydrocarbon analytical method adequate for risk assessment?","interactions":[],"lastModifiedDate":"2020-09-28T12:57:15.308453","indexId":"70214473","displayToPublicDate":"2020-08-13T07:42:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Biological effects of hydrocarbon degradation intermediates: Is the total petroleum hydrocarbon analytical method adequate for risk assessment?","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">In crude oil contaminant plumes, the dissolved organic carbon (DOC) is mainly hydrocarbon degradation intermediates only partly quantified by the diesel range total petroleum hydrocarbon (TPHd) method. To understand potential biological effects of degradation intermediates, we tested three fractions of DOC: (1) solid-phase extract (HLB); (2) dichloromethane (DCM-total) extract used in TPHd; and (3) DCM extract with hydrocarbons isolated by silica gel cleanup (DCM-SGC). Bioactivity of extracts from five wells spanning a range of DOC was tested using an<span>&nbsp;</span><i>in vitro</i><span>&nbsp;</span>multiplex reporter system that evaluates modulation of the activity of 46 transcription factors; extracts were evaluated at concentrations equivalent to the well water samples. The aryl hydrocarbon receptor (AhR) and pregnane X receptor (PXR) transcription factors showed the greatest upregulation, with HLB exceeding DCM-total, and no upregulation in the hydrocarbon fraction (DCM-SGC). The HLB extracts were further studied with HepG2 chemically activated luciferase expression (CALUX)<span>&nbsp;</span><i>in vitro</i><span>&nbsp;</span>assays at nine concentrations ranging from 40 to 0.01 times the well water concentrations. Responses decreased with distance from the source but were still present at two wells without detectable hydrocarbons. Thus, our<span>&nbsp;</span><i>in vitro</i><span>&nbsp;</span>assay results indicate that risks associated with degradation intermediates of hydrocarbons in groundwater will be underestimated when protocols that remove these chemicals are employed.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c02220","usgsCitation":"Bekins, B.A., Brennan, J., Tillitt, D.E., Cozzarelli, I.M., Illig, J.M., and Martinovich-Weigelt, D., 2020, Biological effects of hydrocarbon degradation intermediates: Is the total petroleum hydrocarbon analytical method adequate for risk assessment?: Environmental Science & Technology, v. 54, no. 18, p. 11396-11404, https://doi.org/10.1021/acs.est.0c02220.","productDescription":"9 p.","startPage":"11396","endPage":"11404","ipdsId":"IP-116351","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":455645,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.0c02220","text":"Publisher Index Page"},{"id":378790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Bemidji","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.042724609375,\n              47.3834738721015\n            ],\n            [\n              -94.735107421875,\n              47.3834738721015\n            ],\n            [\n              -94.735107421875,\n              47.5913464767971\n            ],\n            [\n              -95.042724609375,\n              47.5913464767971\n            ],\n            [\n              -95.042724609375,\n              47.3834738721015\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"18","noUsgsAuthors":false,"publicationDate":"2020-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":799678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brennan, Jennifer 0000-0003-0386-3496 jcbrennan@usgs.gov","orcid":"https://orcid.org/0000-0003-0386-3496","contributorId":200181,"corporation":false,"usgs":true,"family":"Brennan","given":"Jennifer","email":"jcbrennan@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":799679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":799680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":799681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Illig, Jennifer M. 0000-0002-1805-0853","orcid":"https://orcid.org/0000-0002-1805-0853","contributorId":241592,"corporation":false,"usgs":false,"family":"Illig","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[{"id":6748,"text":"University of St. Thomas","active":true,"usgs":false}],"preferred":false,"id":799682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martinovich-Weigelt, Dalma 0000-0002-9973-4965","orcid":"https://orcid.org/0000-0002-9973-4965","contributorId":241594,"corporation":false,"usgs":false,"family":"Martinovich-Weigelt","given":"Dalma","email":"","affiliations":[{"id":6748,"text":"University of St. Thomas","active":true,"usgs":false}],"preferred":false,"id":799683,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211862,"text":"sir20205060 - 2020 - Flood-inundation maps for Dardenne Creek in St. Charles County, Missouri, 2019","interactions":[],"lastModifiedDate":"2020-08-12T23:31:17.152064","indexId":"sir20205060","displayToPublicDate":"2020-08-12T14:12:35","publicationYear":"2020","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":"2020-5060","displayTitle":"Flood-Inundation Maps for Dardenne Creek in St. Charles County, Missouri, 2019","title":"Flood-inundation maps for Dardenne Creek in St. Charles County, Missouri, 2019","docAbstract":"<p>Digital flood-inundation maps for a 9.9-mile reach of Dardenne Creek, St. Charles County, Missouri, were created by the U.S.&nbsp;Geological Survey (USGS), in cooperation with the Missouri Department of Transportation, St.&nbsp;Charles County, and the Cities of O’Fallon and St.&nbsp;Peters, Mo. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at <a data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program\" href=\"https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program\">https://www.usgs.gov/​mission-​areas/​water-​resources/​science/​flood-​inundation-​mapping-​fim-​program</a>, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages 05514860 Dardenne Creek at Old Town St.&nbsp;Peters, Mo., and 05587450 Mississippi River at Grafton, Illinois. Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System at <a data-mce-href=\"https://waterdata.usgs.gov/nwis\" href=\"https://waterdata.usgs.gov/nwis\">https://doi.org/​10.5066/​F7P55KJN</a> or the National Weather Service Advanced Hydrologic Prediction Service at <a data-mce-href=\"https://water.weather.gov/ahps2/hydrograph.php?wfo=lsx&amp;gage=drcm7\" href=\"https://water.weather.gov/ahps2/hydrograph.php?wfo=lsx&amp;gage=drcm7\">https://water.weather.gov/ ahps2/ hydrograph.php? wfo= lsx&amp;gage= drcm7</a> and <a data-mce-href=\"https://water.weather.gov/ahps2/hydrograph.php?wfo=lsx&amp;gage=grfi2\" href=\"https://water.weather.gov/ahps2/hydrograph.php?wfo=lsx&amp;gage=grfi2\">https://water.weather.gov/ ahps2/ hydrograph.php? wfo= lsx&amp;gage= grfi2</a>, which also forecasts flood hydrographs at these sites (sites DRCM7 and GRFI2).</p><p>Flood profiles were computed for the Dardenne Creek stream reach by means of a one-dimensional model for simulating water-surface profiles with steady-state flow computations. The model was calibrated by using the current stage-streamflow relation at the USGS streamgages 05514840 Dardenne Creek at O’Fallon, Mo., and 05514860 Dardenne Creek at Old Town St.&nbsp;Peters, Mo., and the documented high-water marks from the flood of December&nbsp;2015.</p><p>The hydraulic model was then used to compute 17&nbsp;water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 16&nbsp;ft, or near bankfull, to 32&nbsp;ft at the reference streamgage 05514860. Stages in the lower Dardenne Creek can be affected by backwater from the Mississippi River; therefore, several sets of water-surface profiles were developed representing the extent of varying levels of backwater as referenced to the USGS streamgage 05587450 on the Mississippi River at Grafton, Ill. The upper stage for each map library exceeds the stage corresponding to the estimated 0.2-percent annual exceedance probability flood (500-year recurrence interval flood) at the streamgage location. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.26-ft vertical accuracy and 0.71-ft horizontal resolution) to delineate the area flooded at each water level.</p><p>The availability of these maps, along with real-time information regarding current stage from the USGS streamgage and forecasted high-flow stages from the National Weather Service, will provide emergency management personnel and residents with information that is critical for flood mitigation, preparedness and planning, flood-response activities such as evacuations and road closures, and postflood recovery efforts.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205060","collaboration":"Prepared in cooperation with Missouri Department of Transportation, St. Charles County, and the Cities of O’Fallon and St. Peters, 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Understanding the nutrient status\nof plant biomass can be particularly helpful in diagnosing what constituents may be\nlimiting wetland production. The biomass and nutrient measures described in the\nfollowing field/laboratory data collection procedures are designed to provide the raw data\nto support predictive ecosystem models, as well as answer basic wetland process\nquestions that will help inform restoration decisions.\n\nThe following procedures outline the field and laboratory methods to collect vegetation\nbiomass and other plant or soil characteristics as needed for the SWAMP. The sampling\ndesign incorporates expanded collection from predefined target plant species that\ntypically occur within selected CRMS stations. CPRA will provide instructions regarding\nany data collection adjustments that may deviate from the general steps provided herein.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A standard operating procedures manual for the Coastwide Reference Monitoring System-Wetlands and the System-Wide Assessment and Monitoring Program: Methods for site establishment, data collection, and quality assurance/quality control","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Louisiana Coastal Protection and Restoration Authority","usgsCitation":"Folse, T.M., McGinnis, T., Sharp, L.A., West, J.L., Hymel, M.K., Troutman, J.P., Weifenbach, D., Boshart, W.M., Rodrigue, L.B., Richardi, D.C., Wood, W.B., Miller, C.M., Robinson, E.M., Freeman, A.M., Stagg, C., Couvillion, B., and Beck, H., 2020, Aboveground and belowground vegetation biomass and nutrients, 20 p.","productDescription":"20 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