{"pageNumber":"255","pageRowStart":"6350","pageSize":"25","recordCount":68820,"records":[{"id":70209452,"text":"70209452 - 2020 - An important biogeochemical link between organic and inorganic carbon cycling: Effects of organic alkalinity on carbonate chemistry in coastal waters influenced by intertidal salt marshes","interactions":[],"lastModifiedDate":"2020-04-08T12:09:23.162203","indexId":"70209452","displayToPublicDate":"2020-02-19T07:04:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"An important biogeochemical link between organic and inorganic carbon cycling: Effects of organic alkalinity on carbonate chemistry in coastal waters influenced by intertidal salt marshes","docAbstract":"Organic acid charge groups in dissolved organic carbon (DOC) contribute to total alkalinity (TA), i.e. organic alkalinity (OrgAlk). Its effect is often ignored or treated as a calculation uncertainty in many aquatic CO2 studies. This study evaluated the variability, sources, and characteristics of OrgAlk in estuarine waters exchanged tidally with a groundwater-influenced salt marsh in the northeast USA. Importantly, OrgAlk was found to serve as a biogeochemical medium linking organic and inorganic carbon cycling through its effects on pH, CO2 system speciation, and buffering capacity (H = -(∂pH/∂[H+])-1). Both the concentrations and characteristics of the identified organic acid charge groups, as well as water pH, influenced the magnitude and sign of the OrgAlk effects. The two main charge groups identified include carboxylic and phenolic or amine groups, with concentrations and pK values varying across tides and seasons. OrgAlk and DOC in the tidal creek were highly variable over tidal and seasonal cycles, and may be sourced from both terrestrial groundwater and in situ production in salt marsh sediments. OrgAlk seems to be more preserved over DOC in groundwater, although DOC and OrgAlk largely covaried in marsh tidal water, but with variable OrgAlk:DOC ratios. This highlights the insufficiency of using a fixed proportion of DOC to account for organic acid charge groups. OrgAlk was found to affect H+ concentrations by ~ 1 – 40 nmol kg-1 (equivalent to a pH change of ~ 0.03 – 0.26), pCO2 by ~ 30 – 1590 atm and buffering capacity by ~ 0.00 – 0.14 mmol kg-1 at relative OrgAlk contributions of 0.9 – 4.3% of TA observed in the marsh-influenced tidal water. Thus OrgAlk may have a significant influence on coastal inorganic carbon cycling. Further theoretical calculations confirm that these concentrations of OrgAlk would have sizable impacts on both carbonate speciation and, ultimately, air-sea CO2 fluxes in different coastal environments, ranging from estuarine to shelf waters. A new conceptual model linking organic and inorganic carbon cycling for coastal waters is proposed to highlight the sources and sinks of organic acid charge groups, as well as their biogeochemical behaviors and mechanistic control on the CO2 system.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2020.02.013","collaboration":"","usgsCitation":"Song, S., Wang, Z., Gonneea Eagle, M., Kroeger, K.D., Chu, S.N., Li, D., and Liang, H., 2020, An important biogeochemical link between organic and inorganic carbon cycling: Effects of organic alkalinity on carbonate chemistry in coastal waters influenced by intertidal salt marshes: Geochimica et Cosmochimica Acta, v. 275, p. 123-139, https://doi.org/10.1016/j.gca.2020.02.013.","productDescription":"17 p.","startPage":"123","endPage":"139","ipdsId":"IP-111625","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2020.02.013","text":"Publisher Index Page"},{"id":373830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"275","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Song, Shuzhen","contributorId":223876,"corporation":false,"usgs":false,"family":"Song","given":"Shuzhen","email":"","affiliations":[{"id":40785,"text":"State Key Laboratory of Estuarine and Coastal Research, East China Normal University,  Shanghai 200241, China","active":true,"usgs":false}],"preferred":false,"id":786528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Zhaohui Aleck","contributorId":174589,"corporation":false,"usgs":false,"family":"Wang","given":"Zhaohui Aleck","affiliations":[{"id":13627,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":786529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":786530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":786531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chu, Sophie N.","contributorId":174603,"corporation":false,"usgs":false,"family":"Chu","given":"Sophie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":786532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Daoji","contributorId":223877,"corporation":false,"usgs":false,"family":"Li","given":"Daoji","email":"","affiliations":[{"id":40785,"text":"State Key Laboratory of Estuarine and Coastal Research, East China Normal University,  Shanghai 200241, China","active":true,"usgs":false}],"preferred":false,"id":786533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liang, Haorui","contributorId":223878,"corporation":false,"usgs":false,"family":"Liang","given":"Haorui","email":"","affiliations":[{"id":40786,"text":"College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, Shandong 266100, China","active":true,"usgs":false}],"preferred":false,"id":786534,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70210706,"text":"70210706 - 2020 - Low renesting propensity and reproductive success make renesting unproductive for the threatened Piping Plover (Charadrius melodus)","interactions":[],"lastModifiedDate":"2020-06-18T14:59:35.891141","indexId":"70210706","displayToPublicDate":"2020-02-18T09:55:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Low renesting propensity and reproductive success make renesting unproductive for the threatened Piping Plover (Charadrius melodus)","docAbstract":"<p class=\"chapter-para\">Upon reproductive failure, many bird species make a secondary attempt at nesting (hereafter, “renesting”). Renesting may be an effective strategy to maximize current and lifetime reproductive success, but individuals face uncertainty in the probability of success because reproductive attempts initiated later in the breeding season often have reduced nest, pre-fledging, and post-fledging brood survival. We evaluated renesting propensity, renesting intervals, and renest reproductive success of Piping Plovers (<i>Charadrius melodus</i>) by following 1,922 nests and 1,785 unique breeding adults from 2014 to 2016 in the Northern Great Plains of the United States. The apparent renesting rate for individuals was 25% for reproductive attempts that failed in the nest stage (egg laying and incubation) and only 1.2% for reproductive attempts when broods were lost. Renesting propensity declined if reproductive attempts failed during the brood-rearing stage, nests were depredated, reproductive failure occurred later in the breeding season, or individuals had previously renested that year. Additionally, plovers that nested on reservoirs were less likely to renest compared to other habitats. Renesting intervals declined when individuals had not already renested, were after-second-year adults without known prior breeding experience, and moved short distances between nest attempts. Renesting intervals also decreased if the attempt failed later in the season. Overall, reproductive success and daily nest survival were lower for renests than first nests throughout the breeding season. Furthermore, renests on reservoirs had reduced apparent reproductive success and daily nest survival unless the predicted amount of habitat on reservoirs increased within the breeding season. Our results provide important demographic measures for this threatened species and suggest that predation- and water-management strategies that maximize success of early nests would be more likely to increase productivity. Altogether, renesting appears to be an unproductive reproductive strategy to replace lost reproductive attempts for Piping Plovers breeding in the Northern Great Plains.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/duz066","usgsCitation":"Swift, R.J., Anteau, M.J., Ring, M., Toy, D.L., and Sherfy, M.H., 2020, Low renesting propensity and reproductive success make renesting unproductive for the threatened Piping Plover (Charadrius melodus): The Condor, v. 2, no. 122, duz066, 18 p., https://doi.org/10.1093/condor/duz066.","productDescription":"duz066, 18 p.","ipdsId":"IP-108250","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457680,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/condor/duz066","text":"Publisher Index Page"},{"id":437105,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VAS8P7","text":"USGS data release","linkHelpText":"Renesting propensity, intervals, and reproductive success data for the Northern Great Plains Piping Plover, a threatened shorebird species 2014-2016"},{"id":375685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, 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              -104.39208984375,\n              48.21003212234042\n            ],\n            [\n              -103.71093749999999,\n              48.10743118848039\n            ],\n            [\n              -102.89794921875,\n              48.3416461723746\n            ],\n            [\n              -101.97509765625,\n              47.90161354142077\n            ],\n            [\n              -101.4697265625,\n              47.82790816919329\n            ],\n            [\n              -100.78857421875,\n              47.76886840424207\n            ],\n            [\n              -100.52490234375,\n              47.010225655683485\n            ],\n            [\n              -100.43701171875,\n              46.558860303117164\n            ],\n            [\n              -100.39306640625,\n              46.10370875598026\n            ],\n            [\n              -100.21728515624999,\n              45.81348649679973\n            ],\n            [\n              -100.39306640625,\n              44.731125592643274\n            ],\n            [\n              -100.37109375,\n              44.449467536006935\n            ],\n            [\n              -99.6240234375,\n              44.449467536006935\n            ],\n            [\n              -99.03076171875,\n              45.120052841530544\n            ],\n            [\n              -98.96484375,\n              46.08847179577592\n            ],\n            [\n              -98.94287109375,\n              46.99524110694593\n            ],\n            [\n              -99.29443359375,\n              47.54687159892238\n            ],\n            [\n              -99.95361328125,\n              48.22467264956519\n            ],\n            [\n              -101.1181640625,\n              48.647427805533546\n            ],\n            [\n              -102.41455078125,\n              48.647427805533546\n            ],\n            [\n              -103.18359375,\n              48.90805939965008\n            ],\n            [\n              -104.4580078125,\n              48.951366470947725\n            ],\n            [\n              -104.65576171875,\n              48.472921272487824\n            ],\n            [\n              -104.39208984375,\n              48.21003212234042\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"122","noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ring, Megan M. 0000-0001-8331-8492","orcid":"https://orcid.org/0000-0001-8331-8492","contributorId":225026,"corporation":false,"usgs":true,"family":"Ring","given":"Megan M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toy, Dustin L. 0000-0001-5390-5784 dtoy@usgs.gov","orcid":"https://orcid.org/0000-0001-5390-5784","contributorId":5150,"corporation":false,"usgs":true,"family":"Toy","given":"Dustin","email":"dtoy@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791041,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211506,"text":"70211506 - 2020 - American eels produce and release bile acids that vary across life stage","interactions":[],"lastModifiedDate":"2020-07-29T14:41:29.589294","indexId":"70211506","displayToPublicDate":"2020-02-18T09:37:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"American eels produce and release bile acids that vary across life stage","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The American eel (<i>Anguilla rostrata<span>&nbsp;</span></i>) is an imperilled fish hypothesized to use conspecific cues, in part, to coordinate long‐distance migration during their multistage life history. Here, holding water and tissue from multiple American eel life stages was collected and analysed for the presence, profile and concentration of bile acids. Distinct bile acid profiles were identified in glass, elver, yellow eel and silver eel holding waters using ultraperformance liquid chromatography high‐resolution mass spectrometry and principal component analysis. Taurochenodeoxycholic acid, taurodeoxycholic acid, cholic acid, deoxycholic acid, taurolithocholic acid and taurocholic acid were detected in whole tissue of American glass eels and elvers, and in liver, intestine and gallbladder samples of late‐stage yellow eels. Bile acids were not a major component of silver eel washings or tissue. This study is novel because little was previously known about bile acids produced and emitted into the environment by American eels. Future behavioural studies could evaluate whether any bile acids produced by American eels influence conspecific migratory behaviour.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.14295","usgsCitation":"Schmucker, A.K., Johnson, N., Bussy, U., Li, K., Galbraith, H.S., Chung-Davidson, Y., and Li, W., 2020, American eels produce and release bile acids that vary across life stage: Journal of Fish Biology, v. 96, p. 1024-1033, https://doi.org/10.1111/jfb.14295.","productDescription":"10 p.","startPage":"1024","endPage":"1033","ipdsId":"IP-111074","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":437106,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QDUTU2","text":"USGS data release","linkHelpText":"Bile acid concentrations in tissues of American eel that were held at Northern Appalachian Research Laboratory, Wellsboro, Pennsylvania, as derived from liquid chromatography coupled to tandem mass spectrometry"},{"id":376839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","noUsgsAuthors":false,"publicationDate":"2020-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmucker, Andrew K.","contributorId":173159,"corporation":false,"usgs":false,"family":"Schmucker","given":"Andrew","email":"","middleInitial":"K.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":794386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":794387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bussy, Ugo","contributorId":150993,"corporation":false,"usgs":false,"family":"Bussy","given":"Ugo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":794388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Ke","contributorId":172267,"corporation":false,"usgs":false,"family":"Li","given":"Ke","email":"","affiliations":[],"preferred":false,"id":794389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chung-Davidson, Yu-Wen","contributorId":126742,"corporation":false,"usgs":false,"family":"Chung-Davidson","given":"Yu-Wen","email":"","affiliations":[{"id":6589,"text":"Department of Fisheries & Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":794391,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":794392,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70219489,"text":"70219489 - 2020 - Intraspecific variation in surface water uptake in a perennial desert shrub","interactions":[],"lastModifiedDate":"2021-04-09T11:48:26.84806","indexId":"70219489","displayToPublicDate":"2020-02-16T06:45:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Intraspecific variation in surface water uptake in a perennial desert shrub","docAbstract":"<ol class=\"\"><li>Despite broad recognition that water is a major limiting factor in arid ecosystems, we lack an empirical understanding of how this resource is shared and distributed among neighbouring plants. Intraspecific variability can further contribute to this variation via divergent life‐history traits, including root architecture. We investigated these questions in the shrub<span>&nbsp;</span><i>Artemisia tridentata</i><span>&nbsp;</span>and hypothesized that the ability to access and utilize surface water varies among subspecies and cytotypes.</li><li>We used an isotope tracer to quantify below‐ground zone of influence in<span>&nbsp;</span><i>A. tridentata</i>, and tested whether spatial neighbourhood characteristics can alter plant water uptake. We introduced deuterium‐enriched water to the soil in plant interspaces in a common garden experiment and measured deuterium composition of plant stems. We then applied spatially explicit models to test for differential water uptake by<span>&nbsp;</span><i>A. tridentata</i>, including intermingled populations of three subspecies and two ploidy levels.</li><li>The results suggest that lateral root functioning in<span>&nbsp;</span><i>A. tridentata</i><span>&nbsp;</span>is associated with intraspecific identity and ploidy level. Subspecies adapted to habitats with deep soils generally had a smaller horizontal reach, and polyploid cytotypes were associated with greater water uptake compared to their diploid variants. We also found that plant crown volume was a weak predictor of water uptake, and that neighbourhood crowding had no discernable effect on water uptake.</li><li>Intraspecific variation in lateral root functioning can lead to differential patterns of resource acquisition, an essential process in arid ecosystems in the contexts of changing climate and seasonal patterns of precipitation. Altogether, we found that lateral root development and activity are more strongly related to genetic variability within<span>&nbsp;</span><i>A. tridentata</i><span>&nbsp;</span>than to plant size. Our study highlights how intraspecific variation in life strategies is linked to mechanisms of resource acquisition.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.13546","usgsCitation":"Zaiats, A., Lazarus, B., Germino, M., Serpe, M.D., Richardson, B.A., Buerki, S., and Caughlin, T., 2020, Intraspecific variation in surface water uptake in a perennial desert shrub: Functional Ecology, v. 34, no. 6, p. 1170-1179, https://doi.org/10.1111/1365-2435.13546.","productDescription":"10 p.","startPage":"1170","endPage":"1179","ipdsId":"IP-110881","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457698,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.13546","text":"Publisher Index Page"},{"id":384957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Zaiats, Andrii","contributorId":257073,"corporation":false,"usgs":false,"family":"Zaiats","given":"Andrii","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazarus, Brynne E. 0000-0002-6352-486X","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":242732,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Serpe, Marcelo D.","contributorId":257074,"corporation":false,"usgs":false,"family":"Serpe","given":"Marcelo","email":"","middleInitial":"D.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, Bryce A.","contributorId":207820,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","middleInitial":"A.","affiliations":[{"id":37640,"text":"U.S.D.A. Forest Service Rocky Mountain Research Station, Provo, UT, 84606 USA","active":true,"usgs":false}],"preferred":false,"id":813793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buerki, Sven","contributorId":257075,"corporation":false,"usgs":false,"family":"Buerki","given":"Sven","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caughlin, T. Trevor","contributorId":257076,"corporation":false,"usgs":false,"family":"Caughlin","given":"T. Trevor","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813795,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208700,"text":"70208700 - 2020 - Formation criteria for hyporheic anoxic microzones: Assessing interactions of hydraulics, nutrients and biofilms","interactions":[],"lastModifiedDate":"2020-03-11T15:59:43","indexId":"70208700","displayToPublicDate":"2020-02-15T08:52:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Formation criteria for hyporheic anoxic microzones: Assessing interactions of hydraulics, nutrients and biofilms","docAbstract":"<p><span>Recent experimental studies have detected the presence of anoxic microzones in hyporheic sediments. These microzones are small‐scale anoxic pores, embedded within oxygen‐rich porous media and can act as anaerobic reaction sites producing reduction compounds such as nitrous oxide, a potent greenhouse gas. Microbes are a key control on nutrient transformation in hyporheic sediment, but their associated biomass growth is also capable of altering hydraulic flux, leading to potential bioclogging. Here, we developed one of the first computational modeling approaches that combined hydraulics and microbial conditions to explore the continuous evolution of microzones in stream sediments. The model assessed stream and sediment conditions with different hydraulic flux (0.1–1.0 m/day Darcy flux), nutrient concentrations (O</span><sub>2</sub><span>&nbsp;= 8 mg/L, OrgC = 20 mg/L, NO</span><sup>−</sup><sub>3</sub><span>&nbsp;= 1.5–3 mg/L, and NH</span><sub>3</sub><span>&nbsp;= 0.5–1 mg/L), and biomass scenarios (with and without). The model domain is a pore network model with random sized pore‐throat radii creating heterogeneous and anisotropic flow that is representative of a natural streambed composed of medium sand with a hydraulic conductivity of 0.8 m/day. Results from 30 day simulations indicate that hyporheic microzone formation will occur and microzone distributions are not simply controlled by residence time alone, rather by the complex interactions of hydraulic flux, nutrient concentrations, and biomass, with bioclogging having strong feedbacks on both hydraulics and nutrients. Under all conditions with biomass growth, anoxic microzones were unstable, perishing a few days after formation, because bioclogging primarily occurs near the influent (downwelling) area of the hyporheic zone. In turn, this bioclogging shifts transport conditions from advection‐dominated to diffusion‐dominated transport, removing all oxic regions in the hyporheic zone. Overall, results from the modeling show that anoxic microzones are likely to form under many hyporheic zone conditions, and be dynamic through space and time as they are dependent on both hydraulic flux and nutrient transport.</span></p>","language":"English","publisher":"Wiley","doi":"10.1029/2019WR025971","usgsCitation":"Chowdhury, S.R., Zarnetske, J., Phanikumar, M., Briggs, M.A., Day-Lewis, F.D., and Singha, K., 2020, Formation criteria for hyporheic anoxic microzones: Assessing interactions of hydraulics, nutrients and biofilms: Water Resources Research, v. 56, no. 3, e2019WR025971, 15 p., https://doi.org/10.1029/2019WR025971.","productDescription":"e2019WR025971, 15 p.","ipdsId":"IP-113836","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":372602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Chowdhury, S. R.","contributorId":222748,"corporation":false,"usgs":false,"family":"Chowdhury","given":"S.","email":"","middleInitial":"R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":783075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zarnetske, J.","contributorId":222749,"corporation":false,"usgs":false,"family":"Zarnetske","given":"J.","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":783076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phanikumar, M.S.","contributorId":222750,"corporation":false,"usgs":false,"family":"Phanikumar","given":"M.S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":783077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":783074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":783078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Singha, K.","contributorId":201025,"corporation":false,"usgs":false,"family":"Singha","given":"K.","email":"","affiliations":[],"preferred":false,"id":783079,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208575,"text":"70208575 - 2020 - Does Lake Erie still have sufficient oxythermal habitat for cisco <i>Coregonus artedi</i>?","interactions":[],"lastModifiedDate":"2020-04-06T21:58:32.077746","indexId":"70208575","displayToPublicDate":"2020-02-15T06:15:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Does Lake Erie Still Have Sufficient Oxythermal Habitat for Cisco <i>Coregonus artedi</i>?","title":"Does Lake Erie still have sufficient oxythermal habitat for cisco <i>Coregonus artedi</i>?","docAbstract":"In Lake Erie, cisco  <i>Coregonus artedi</i> once supported one of the most valuable freshwater fisheries on earth, yet overfishing caused their eventual extirpation from the lake. With warming lake temperatures, some have questioned whether Lake Erie still contains suitable oxythermal conditions for cisco. Using published oxythermal thresholds for cisco and oxythermal profiles from Lake Erie, we sought to answer two questions critical to cisco restoration science. First, is cisco habitat still available during the most restrictive periods? Second, what is the distribution of cisco habitat during these times? Beta regression was used to determine that cisco habitat was most limited during the month of August, and that August of 2010 was the most restrictive period in the time series. We then used Empirical Bayesian Kriging (EBK) to map the spatial extent of cisco habitat during these times. EBK maps revealed large areas of summer refugia for cisco in Lake Erie, even during the least favorable periods. Most of the Central and East Basins contain suitable habitat during the average August, yet during August of 2010, suitable conditions were limited to the eastern edge of the Central Basin and the deep waters of the East Basin. These findings align well with historical accounts of cisco landings. While suitable oxythermal habitat still exists for cisco in Lake Erie, future restoration efforts, if attempted, will partially depend on: 1) better management of nutrient inputs, 2) the realization of future climate scenarios, and 3) the ability of cisco to adapt to a changing lake.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.01.019","usgsCitation":"Schmitt, J., Vandergoot, C.S., O’Malley, B.P., and Kraus, R., 2020, Does Lake Erie still have sufficient oxythermal habitat for cisco <i>Coregonus artedi</i>?: Journal of Great Lakes Research, v. 46, no. 2, p. 330-338, https://doi.org/10.1016/j.jglr.2020.01.019.","productDescription":"9 p.","startPage":"330","endPage":"338","ipdsId":"IP-112702","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":372406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Lake Erie ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.21044921875,\n              42.13082130188811\n            ],\n            [\n              -83.507080078125,\n              41.68932225997044\n            ],\n            [\n              -82.4853515625,\n              41.36031866306708\n            ],\n            [\n              -81.968994140625,\n              41.48389104267175\n            ],\n            [\n              -81.650390625,\n              41.48389104267175\n            ],\n            [\n              -81.419677734375,\n              41.68111756290652\n            ],\n            [\n              -80.540771484375,\n              41.94314874732696\n            ],\n            [\n              -79.27734374999999,\n              42.374778361114195\n            ],\n            [\n              -78.826904296875,\n              42.827638636242284\n            ],\n            [\n              -78.837890625,\n              42.90011265525328\n            ],\n            [\n              -79.1015625,\n              42.91620643817353\n            ],\n            [\n              -79.541015625,\n              42.924251753870685\n            ],\n            [\n              -80.013427734375,\n              42.827638636242284\n            ],\n            [\n              -80.299072265625,\n              42.80346172417078\n            ],\n            [\n              -80.562744140625,\n              42.62587560259137\n            ],\n            [\n              -80.91430664062499,\n              42.67435857693381\n            ],\n            [\n              -81.2109375,\n              42.69858589169842\n            ],\n            [\n              -81.45263671875,\n              42.69051116998238\n            ],\n            [\n              -81.82617187499999,\n              42.431565872579185\n            ],\n            [\n              -82.0458984375,\n              42.342305278572816\n            ],\n            [\n              -82.518310546875,\n              42.09007006868398\n            ],\n            [\n              -82.891845703125,\n              42.01665183556825\n            ],\n            [\n              -83.21044921875,\n              42.13082130188811\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmitt, Joseph","contributorId":222565,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":782571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergoot, Christoper S.","contributorId":222566,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christoper","email":"","middleInitial":"S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":782572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Malley, Brian P. bomalley@usgs.gov","contributorId":5615,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":782573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":782574,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208051,"text":"sir20205006 - 2020 - Potential groundwater recharge rates for two subsurface-drained agricultural fields, southeastern Minnesota, 2016–18","interactions":[],"lastModifiedDate":"2022-04-25T20:56:36.421159","indexId":"sir20205006","displayToPublicDate":"2020-02-14T15:35:24","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":"2020-5006","displayTitle":"Potential Groundwater Recharge Rates for Two Subsurface-Drained Agricultural Fields, Southeastern Minnesota, 2016–18","title":"Potential groundwater recharge rates for two subsurface-drained agricultural fields, southeastern Minnesota, 2016–18","docAbstract":"<p>Subsurface drainage is used to efficiently drain saturated soils to support productive agriculture in poorly drained terrains. Although subsurface drainage alters the water balance for agricultural fields, its effect on groundwater resources and groundwater recharge is poorly understood. In Minnesota, subsurface drainage has begun to increase in southeastern Minnesota, even though this part of the State is underlain by permeable karstic bedrock aquifers with only a thin layer of glacial sediments separating these aquifers from land surface.</p><p>To gain a better understanding of groundwater recharge effects from subsurface drainage, the U.S. Geological Survey (USGS), in cooperation with the Legislative-Citizen Commission on Minnesota Resources, led a 2-year hydrologic study to investigate this connection for two agricultural fields in southeastern Minnesota with subsurface drainage. A total of three monitoring plots were used between the two agricultural fields: two monitoring plots that included an actively drained area with peripheral, undrained areas, and a third monitoring plot without any subsurface drainage. Multiple piezometer transects were set up across the three monitoring plots to characterize the unsaturated zone and shallow water-table flow using pressure transducers and soil moisture probes. From these piezometers, groundwater recharge rates were derived using two different methods: the RISE Water-Table Fluctuation (WTF) method and the DRAINMOD model. In addition to these two methods, the USGS Soil-Water-Balance (SWB) model was used to estimate potential recharge rates for three different monitoring plots.</p><p>In addition to deriving groundwater recharge rates, the hydrologic budget was analyzed to interpret the water-table surface elevation and soil volumetric water content time series. At one of the two drained plots, the transects exhibited varying water-table surface elevation patterns. Frequent backflow from the adjacent ditch caused subsurface drainage flow to slow down or stop drainage through the main collector drain and cause pipe pressurization, so the closest transect appeared to be mostly controlled by the drain pressurization, whereas the farthest transect was more efficiently drained. Both of the&nbsp;drained monitoring plots had an elevation gradient parallel to the pattern tiles, sloping downward towards the collector drain that aggregated the parallel lines into a single drain. Because the transects were set at different gradients in the field, some of the water-table surface elevation differences were also attributed to lateral flow towards the lowest parts of the field.</p><p>Three methods were used to derive potential groundwater recharge rates: the RISE WTF method, the USGS SWB model, and DRAINMOD-derived deep seepage rates. Potential groundwater recharge rates, using the RISE WTF method, across all piezometers were 1.55 and 1.94 inches per year, respectively, for water years 2017 and 2018. More differentiation of potential recharge rates between different piezometer types occurred for water year 2018. Although the difference was slightly more than 1 inch between the drained and nondrained piezometers for water year 2018, this difference was statistically significant based on a t-test with a <i>p</i>-value of 0.036 (<i>α</i>=0.05). When looking at recharge based on distance from the drain, the subsurface drain did not affect potential recharge, although other factors such as variability in screen depths, well construction, and specific yield variability cannot be eliminated. The SWB model was also used to estimate potential recharge rates for water years 2017–18, with rates between 2.44 and 5.92 inches per year for the two drained sites, generally higher than the RISE WTF estimates. DRAINMOD-derived potential recharge rates were generally the highest of the three methods, with potential recharge rates varying from 2.07 to 9.49 inches per year.</p><p>Overall, there was a lack of agreement between the three methods. These results were not remarkable, considering the fundamental differences in the methodology for each method. However, all methods did show a fundamental difference between piezometers within the drained area and piezometers outside the drained area, including the third undrained monitoring plot. The drained areas show a lower overall potential groundwater recharge compared to the nondrained areas for all three estimates. The difference for the 2018 recharge estimates was slightly higher than 1 inch for the RISE WTF method, the difference was almost double for the nine sites for the DRAINMOD model, and the difference between the drain and undrained plots was even more significant for the SWB model.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205006","collaboration":"Prepared in cooperation with the Legislative-Citizen Commission on Minnesota Resources","usgsCitation":"Smith, E.A., and Berg, A.M., 2020, Potential groundwater recharge rates for two subsurface-drained agricultural fields, southeastern Minnesota, 2016–18: U.S. Geological Survey Scientific Investigations Report 2020–5006, 57 p., https://doi.org/10.3133/sir20205006.","productDescription":"Report: ix, 54 p.; 5 Appendixes;  3 Data Releases; Dataset","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-112919","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":372354,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5006/sir20205006_appendixes.xlsx","text":"Appendix 1 and 2","size":"3.55 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5006 Appendixes"},{"id":372353,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5006/sir20205006.pdf","text":"Report","size":"4.11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5006"},{"id":372352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5006/coverthb.jpg"},{"id":372355,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5006/sir20205006_appendix_table1.1.csv","text":"Appendix 1.1","size":"1.55 MB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2020–5006 Appendix 1.1"},{"id":372356,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5006/sir20205006_appendix_table1.2.csv","text":"Appendix 1.2","size":"1.66 MB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2020–5006 Appendix 1.2"},{"id":372357,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5006/sir20205006_appendix_table2.1.csv","text":"Appendix 2.1","size":"13.0 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2020–5006 Appendix 2.1"},{"id":372358,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5006/sir20205006_appendix_table2.2.csv","text":"Appendix 2.2","size":"13.3 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2020–5006 Appendix 2.2"},{"id":372359,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P987N30U","text":"USGS data release","linkHelpText":"DRAINMOD simulations for two agricultural drainage sites in western Fillmore County, southeastern Minnesota"},{"id":372360,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90N4AWG","text":"USGS data release","linkHelpText":"Soil-Water Balance model datasets used to estimate recharge for southeastern Minnesota, 2014–2018"},{"id":372361,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94LMOPP","text":"USGS data release","linkHelpText":"Potential groundwater recharge estimates based on a groundwater rise analysis technique for two agricultural sites in southeastern Minnesota, 2016–2018"},{"id":372362,"rank":11,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS dataset","linkHelpText":"– USGS groundwater data for Minnesota in USGS water data for the Nation"},{"id":399628,"rank":12,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109687.htm"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.4167,\n              43.595\n            ],\n            [\n              -92.45,\n              43.595\n            ],\n            [\n              -92.45,\n              43.5444\n            ],\n            [\n              -92.4167,\n              43.5444\n            ],\n            [\n              -92.4167,\n              43.595\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>5840 Enterprise Drive <br>Lansing, MI 48911 </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Core Descriptions and Unit Interpretations</li><li>Water-Budget Components—Patterns</li><li>Potential Groundwater Recharge Rates</li><li>Limitations and Assumptions</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Instantaneous Subsurface Drainage Flow Rates, Every 15 Minutes, 2017–18</li><li>Appendix 2. Daily Total Subsurface Drainage, 2017–18</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-02-14","noUsgsAuthors":false,"publicationDate":"2020-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Erik A. 0000-0001-8434-0798 easmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8434-0798","contributorId":1405,"corporation":false,"usgs":true,"family":"Smith","given":"Erik","email":"easmith@usgs.gov","middleInitial":"A.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berg, Andrew M. 0000-0001-9312-240X aberg@usgs.gov","orcid":"https://orcid.org/0000-0001-9312-240X","contributorId":5642,"corporation":false,"usgs":true,"family":"Berg","given":"Andrew","email":"aberg@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780277,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211911,"text":"70211911 - 2020 - Batch extraction method to estimate total dissolved solids (TDS) release from coal refuse and overburden","interactions":[],"lastModifiedDate":"2020-08-11T18:13:39.125122","indexId":"70211911","displayToPublicDate":"2020-02-14T13:06:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Batch extraction method to estimate total dissolved solids (TDS) release from coal refuse and overburden","docAbstract":"<p><span>A rapid batch extraction method was evaluated to estimate potential for total dissolved solids (TDS) release by 65 samples of rock from coal and gas-bearing strata of the Appalachian Basin in eastern USA. Three different extractant solutions were considered: deionized water (DI), DI equilibrated with 10% CO</span><sub>2</sub><span>&nbsp;atmosphere (DI&nbsp;+&nbsp;CO</span><sub>2</sub><span>), or 30% H</span><sub>2</sub><span>O</span><sub>2</sub><span>&nbsp;under 10% CO</span><sub>2</sub><span>&nbsp;(H</span><sub>2</sub><span>O</span><sub>2</sub><span>+CO</span><sub>2</sub><span>). In all extractions, 10&nbsp;g of pulverized rock (&lt;0.5-mm) were mixed with 20&nbsp;mL of extractant solution and shaken for 4&nbsp;h at 50&nbsp;rpm and 20–22&nbsp;°C. The 65 rock samples were classified as coal (n=3), overburden (n&nbsp;=&nbsp;17), coal refuse that had weathered in the field (n&nbsp;=&nbsp;14), unleached coal refuse that had oxidized during indoor storage (n&nbsp;=&nbsp;20), gas-bearing shale (n&nbsp;=&nbsp;10), and pyrite (n&nbsp;=&nbsp;1). Extracts were analyzed for specific conductance (SC), TDS, pH, and major and trace elements, and subsequently speciated to determine ionic contributions to SC. The pH of extractant blanks decreased in the order DI (6.0), DI&nbsp;+&nbsp;CO</span><sub>2</sub><span>&nbsp;(5.1), and H</span><sub>2</sub><span>O</span><sub>2</sub><span>+CO</span><sub>2</sub><span>&nbsp;(2.6). The DI extractant was effective for mobilizing soluble SO</span><sub>4</sub><span>&nbsp;and Cl salts. The DI&nbsp;+&nbsp;CO</span><sub>2</sub><span>&nbsp;extractant increased weathering of carbonates and resulted in equivalent or greater TDS than the DI leach of the same material. The H</span><sub>2</sub><span>O</span><sub>2</sub><span>+CO</span><sub>2</sub><span>&nbsp;extractant increased weathering of sulfides (and carbonates) and resulted in the greatest TDS production and lowest pH values. Of the 65 samples, 19 had leachate chemistry data from previous column experiments and 35 were paired to 10 field sites with leachate chemistry data. When accounting for the water-to-rock ratio, TDS from DI and DI&nbsp;+&nbsp;CO</span><sub>2</sub><span>&nbsp;extractions were correlated to TDS from column experiments while TDS from H</span><sub>2</sub><span>O</span><sub>2</sub><span>+CO</span><sub>2</sub><span>&nbsp;extractions was not. In contrast to column experiments, field SC was better correlated to SC measured from H</span><sub>2</sub><span>O</span><sub>2</sub><span>+CO</span><sub>2</sub><span>&nbsp;extractions than DI extractions. The field SC and SC from H</span><sub>2</sub><span>O</span><sub>2</sub><span>+CO</span><sub>2</sub><span>&nbsp;extractions were statistically indistinguishable for 7 of 9 paired data sets while SC from DI extractions underestimated field SC in 5 of 9 cases. Upscaling comparisons suggest that (1) weathering reactions in the field are more aggressive than DI water or synthetic rainwater extractants used in batch or column tests, and (2) a batch extraction method utilizing 30% H</span><sub>2</sub><span>O</span><sub>2</sub><span>&nbsp;(which is mildly acidic without CO</span><sub>2</sub><span>&nbsp;enrichment) could be effective for identifying rocks that will release high amounts of TDS.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104540","usgsCitation":"Castillo-Meza, L.E., Cravotta, C., Tasker, T.L., Warner, N.R., Daniels, W.L., Orndorff, Z.W., Bergstresser, T., Douglass, A., Kimble, G., Streczywilk, J., Barton, C., Thompson, A., and Burgos, W.D., 2020, Batch extraction method to estimate total dissolved solids (TDS) release from coal refuse and overburden: Applied Geochemistry, v. 115, 104540, 16 p., https://doi.org/10.1016/j.apgeochem.2020.104540.","productDescription":"104540, 16 p.","ipdsId":"IP-106585","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":467297,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/102448","text":"External Repository"},{"id":377359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Castillo-Meza, L. E.","contributorId":237999,"corporation":false,"usgs":false,"family":"Castillo-Meza","given":"L.","email":"","middleInitial":"E.","affiliations":[{"id":47676,"text":"Department of Civil and Environmental Engineering, The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":795778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":795779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tasker, T. L.","contributorId":238000,"corporation":false,"usgs":false,"family":"Tasker","given":"T.","email":"","middleInitial":"L.","affiliations":[{"id":47676,"text":"Department of Civil and Environmental Engineering, The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":795780,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, N. R.","contributorId":238001,"corporation":false,"usgs":false,"family":"Warner","given":"N.","email":"","middleInitial":"R.","affiliations":[{"id":47676,"text":"Department of Civil and Environmental Engineering, The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":795781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniels, W. L.","contributorId":238002,"corporation":false,"usgs":false,"family":"Daniels","given":"W.","email":"","middleInitial":"L.","affiliations":[{"id":47677,"text":"Department of Crop and Soil Science, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":795782,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orndorff, Z. W.","contributorId":238003,"corporation":false,"usgs":false,"family":"Orndorff","given":"Z.","email":"","middleInitial":"W.","affiliations":[{"id":47677,"text":"Department of Crop and Soil Science, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":795783,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bergstresser, T.","contributorId":238004,"corporation":false,"usgs":false,"family":"Bergstresser","given":"T.","email":"","affiliations":[{"id":47678,"text":"Geochemical Testing Laboratory","active":true,"usgs":false}],"preferred":false,"id":795784,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Douglass, A.","contributorId":238005,"corporation":false,"usgs":false,"family":"Douglass","given":"A.","email":"","affiliations":[{"id":47678,"text":"Geochemical Testing Laboratory","active":true,"usgs":false}],"preferred":false,"id":795785,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kimble, G.","contributorId":238006,"corporation":false,"usgs":false,"family":"Kimble","given":"G.","email":"","affiliations":[{"id":47678,"text":"Geochemical Testing Laboratory","active":true,"usgs":false}],"preferred":false,"id":795786,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Streczywilk, J.","contributorId":238007,"corporation":false,"usgs":false,"family":"Streczywilk","given":"J.","email":"","affiliations":[{"id":47678,"text":"Geochemical Testing Laboratory","active":true,"usgs":false}],"preferred":false,"id":795787,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Barton, C.","contributorId":238008,"corporation":false,"usgs":false,"family":"Barton","given":"C.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":795788,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thompson, A","contributorId":238009,"corporation":false,"usgs":false,"family":"Thompson","given":"A","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":795789,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Burgos, W. D.","contributorId":238010,"corporation":false,"usgs":false,"family":"Burgos","given":"W.","email":"","middleInitial":"D.","affiliations":[{"id":47676,"text":"Department of Civil and Environmental Engineering, The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":795790,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70218261,"text":"70218261 - 2020 - Groundwater model simulations of stakeholder-identified scenarios in a high-conflict irrigated area","interactions":[],"lastModifiedDate":"2021-02-23T13:10:39.001834","indexId":"70218261","displayToPublicDate":"2020-02-14T07:04:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater model simulations of stakeholder-identified scenarios in a high-conflict irrigated area","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>This study investigated collaborative groundwater‐flow modeling and scenario analysis in the Little Plover River basin, Wisconsin, USA where an unconfined aquifer supplies groundwater for agricultural irrigation, industrial processing, municipal water supply, and stream baseflow. We recruited stakeholders with diverse interests to identify, prioritize, and evaluate scenarios defined as management changes to the landscape. Using a groundwater flow model, we simulated the top 10 stakeholder‐ranked scenarios under historically informed dry, average, and wet weather conditions and evaluated the ability of scenarios to meet government‐defined stream flow performance measures. Results show that multiple changes to the landscape are necessary to maintain optimum stream flow, particularly during dry years. Yet, when landscape changes from three scenarios—transferring water from the local waste water treatment plant to basin headwaters, moving municipal wells further from the river and downstream, and converting 240 acre (97 ha) of irrigated land to unirrigated land—were simulated in combination, the probability of meeting or exceeding optimum flows rose to 75, 65, and 34% at upper, mid, and lower stream gages, respectively, in dry climate conditions. Discussions with stakeholders reveal that the collaborative model and scenario analysis process resulted in social learning that built upon the existing complex and dynamic institutional landscape. The approach provided a forum for solution‐based discussions, and the model served as an important mediation tool for the development and evaluation of community‐defined scenarios in a high conflict environment. Today, stakeholders continue to work collaboratively to overcome challenges and implement voluntary solutions in the basin.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12989","usgsCitation":"Kniffin, M., Bradbury, K., Fienen, M., and Genskow, K., 2020, Groundwater model simulations of stakeholder-identified scenarios in a high-conflict irrigated area: Groundwater, v. 58, no. 6, p. 973-986, https://doi.org/10.1111/gwat.12989.","productDescription":"14 p.","startPage":"973","endPage":"986","ipdsId":"IP-113805","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":383587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Little Plover River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.725341796875,\n              44.58851118961441\n            ],\n            [\n              -89.7857666015625,\n              44.57286088638149\n            ],\n            [\n              -90.0164794921875,\n              44.52196830685208\n            ],\n            [\n              -90.16204833984375,\n              44.3768766587829\n            ],\n            [\n              -90.17303466796875,\n              44.160533843726704\n            ],\n            [\n              -90.13732910156249,\n              43.96514454266273\n            ],\n            [\n              -89.88189697265625,\n              43.733398628766096\n            ],\n            [\n              -89.78302001953125,\n              43.74332071724287\n            ],\n            [\n              -89.67041015625,\n              43.99479043262446\n            ],\n            [\n              -89.6429443359375,\n              44.20780382691624\n            ],\n            [\n              -89.40948486328125,\n              44.51021754644924\n            ],\n            [\n              -89.417724609375,\n              44.64325407516125\n            ],\n            [\n              -89.68414306640625,\n              44.63543682256858\n            ],\n            [\n              -89.725341796875,\n              44.58851118961441\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kniffin, Maribeth","contributorId":251878,"corporation":false,"usgs":false,"family":"Kniffin","given":"Maribeth","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":810766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradbury, Kenneth","contributorId":251879,"corporation":false,"usgs":false,"family":"Bradbury","given":"Kenneth","affiliations":[{"id":33760,"text":"Wisconsin Geologic and Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":810767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Genskow, Kenneth","contributorId":251880,"corporation":false,"usgs":false,"family":"Genskow","given":"Kenneth","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":810769,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208620,"text":"70208620 - 2020 - An integrated feasibility study of reservoir thermal energy storage in Portland, Oregon, USA","interactions":[],"lastModifiedDate":"2020-02-21T07:04:08","indexId":"70208620","displayToPublicDate":"2020-02-14T07:02:51","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An integrated feasibility study of reservoir thermal energy storage in Portland, Oregon, USA","docAbstract":"In regions with long cold overcast winters and sunny summers, Deep Direct-Use (DDU) can be coupled with Reservoir Thermal Energy Storage (RTES) technology to take advantage of pre-existing subsurface permeability to save summer heat for later use during cold seasons. Many aquifers worldwide are underlain by permeable regions (reservoirs) containing brackish or saline groundwater that has limited beneficial use due to poor water quality. We investigate the utility of these relatively deep, slow flowing reservoirs for RTES by conducting an integrated feasibility study in the Portland Basin, Oregon, USA, developing methods and obtaining results that can be widely applied to groundwater systems elsewhere. As a case study, we have conducted an economic and social cost-benefit analysis for the Oregon Health and Science University (OHSU), a teaching hospital that is recognized as critical infrastructure in the Portland Metropolitan Area. Our investigation covers key factors that influence feasibility including 1) the geologic framework, 2) heat and fluid flow modeling, 3) capital and maintenance costs, 4) the regulatory framework, and 5) operational risks. By pairing a model of building seasonal heat demand with an integrated model of RTES resource supply, we determine that the most important factors that influence RTES efficacy in the study area are operational schedule, well spacing, the amount of summer heat stored (in our model, a function of solar array size), and longevity of the system. Generally, heat recovery efficiency increases as the reservoir and surrounding rocks warm, making RTES more economical with time. Selecting a base-case scenario, we estimate a levelized cost of heat (LCOH) to compare with other sources of heating available to OHSU and find that it is comparable to unsubsidized solar and nuclear, but more expensive than natural gas. Additional benefits of RTES include energy resiliency in the event that conventional energy supplies are disrupted (e.g., natural disaster) and a reduction in fossil fuel consumption resulting in a smaller carbon footprint. Key risks include reservoir heterogeneity and a possible reduction in permeability through time due to scaling (mineral precipitation). Lastly, a map of thermal energy storage capacity for the Portland Basin yields a total of 87,000 GWh, suggesting tremendous potential for RTES in the Portland Metropolitan Area.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: 45th workshop on Geothermal Reservoir Engineering, Stanford University","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"45th Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 10-12, 2020","conferenceLocation":"Stanford, California","language":"English","publisher":"Stanford University","usgsCitation":"Bershaw, J., Burns, E.R., Cladouhos, T.T., Horst, A.E., Van Houten, B., Hulseman, P., Kane, A., Liu, J.H., Perkins, R., Scanlon, D.P., Streig, A.R., Svadlenak, E.E., Uddenberg, M.W., Wells, R.E., and Williams, C.F., 2020, An integrated feasibility study of reservoir thermal energy storage in Portland, Oregon, USA, <i>in</i> Proceedings: 45th workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California, February 10-12, 2020, 14 p.","productDescription":"14 p.","ipdsId":"IP-114781","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":372490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372489,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2020/Bershaw.pdf"}],"country":"United States","state":"Oregon ","city":"Portland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.81341552734374,\n              45.31352900692258\n            ],\n            [\n              -122.34374999999999,\n              45.31352900692258\n            ],\n 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eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cladouhos, Trenton T 0000-0002-1127-8118","orcid":"https://orcid.org/0000-0002-1127-8118","contributorId":222627,"corporation":false,"usgs":false,"family":"Cladouhos","given":"Trenton","email":"","middleInitial":"T","affiliations":[{"id":40571,"text":"CyrqEnergy","active":true,"usgs":false}],"preferred":false,"id":782749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horst, Alison E","contributorId":222628,"corporation":false,"usgs":false,"family":"Horst","given":"Alison","email":"","middleInitial":"E","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":782750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Houten, Boz","contributorId":222629,"corporation":false,"usgs":false,"family":"Van Houten","given":"Boz","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":782751,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hulseman, Peter","contributorId":222630,"corporation":false,"usgs":false,"family":"Hulseman","given":"Peter","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":782752,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kane, Alisa","contributorId":222631,"corporation":false,"usgs":false,"family":"Kane","given":"Alisa","email":"","affiliations":[{"id":40572,"text":"City of Portland, Oregon","active":true,"usgs":false}],"preferred":false,"id":782753,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liu, Jenny H","contributorId":222632,"corporation":false,"usgs":false,"family":"Liu","given":"Jenny","email":"","middleInitial":"H","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":782754,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perkins, Robert B","contributorId":222633,"corporation":false,"usgs":false,"family":"Perkins","given":"Robert B","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":782755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Scanlon, Darby P","contributorId":222634,"corporation":false,"usgs":false,"family":"Scanlon","given":"Darby","email":"","middleInitial":"P","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":782756,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Streig, Ashley R. 0000-0002-9310-6132","orcid":"https://orcid.org/0000-0002-9310-6132","contributorId":222478,"corporation":false,"usgs":false,"family":"Streig","given":"Ashley","email":"","middleInitial":"R.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":782757,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Svadlenak, Ellen E","contributorId":222635,"corporation":false,"usgs":false,"family":"Svadlenak","given":"Ellen","email":"","middleInitial":"E","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":782758,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Uddenberg, Matt W","contributorId":222636,"corporation":false,"usgs":false,"family":"Uddenberg","given":"Matt","email":"","middleInitial":"W","affiliations":[{"id":40573,"text":"Stravan Consulting","active":true,"usgs":false}],"preferred":false,"id":782759,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wells, Ray E","contributorId":222637,"corporation":false,"usgs":false,"family":"Wells","given":"Ray","email":"","middleInitial":"E","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":782760,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Williams, Colin F. 0000-0003-2196-5496 colin@usgs.gov","orcid":"https://orcid.org/0000-0003-2196-5496","contributorId":274,"corporation":false,"usgs":true,"family":"Williams","given":"Colin","email":"colin@usgs.gov","middleInitial":"F.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":782761,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70208650,"text":"70208650 - 2020 - Carbon stock trends of baldcypress knees along climate gradients of the Mississippi River Alluvial Valley using allometric methods","interactions":[],"lastModifiedDate":"2020-02-25T06:31:07","indexId":"70208650","displayToPublicDate":"2020-02-13T19:52:13","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":"Carbon stock trends of baldcypress knees along climate gradients of the Mississippi River Alluvial Valley using allometric methods","docAbstract":"Carbon stock trends of the knees of Taxodium distichum likely vary across climate gradients of the southeastern United States and contribute an unknown quantity of “teal” carbon to inland freshwater wetlands. Knee metrics (e.g., density, height, biomass) were measured in mixed T. distichum swamps across the Mississippi River Alluvial Valley (MRAV) from Illinois to Louisiana. Based on their geometric similarity to a cone, the biomasses of field knees were estimated by relating the volume of their measured field dimensions to lab-measured water displacement volume and biomass via volume/mass regressions (biomass (g) = 7.2230149 + 0.292902 × volume). Knees had greater height in flooded conditions (maximum height = 163 cm; Goose Lake, Arkansas), and also in climate normal environments of mid-range precipitation and temperature (p < 0.0001). Overall, knee biomass ha−1 was 7.5 times greater in flooded vs. not flooded conditions (34.6 ± 7.3 vs. 4.6 ± 1.0 Mg ha−1, respectively). The overall mean of knee carbon biomass stock was substantial (flooded vs. not flooded conditions: 18.1 ± 3.7 Mg C ha−1 to 2.9 ± 0.7 Mg C ha−1, respectively; knee/tree live standing biomass: 17.9–5.2%, respectively). Clearly, T. distichum knees should not be ignored in blue (teal) carbon discussions of wetlands. Because knees respond to climate normal conditions, hotter/drier environments in the MRAV could lead to a decline in the contribution of knee carbon stock in the southeastern United States.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2020.117969","usgsCitation":"Middleton, B.A., 2020, Carbon stock trends of baldcypress knees along climate gradients of the Mississippi River Alluvial Valley using allometric methods: Forest Ecology and Management, v. 461, 117969,10 p., https://doi.org/10.1016/j.foreco.2020.117969.","productDescription":"117969,10 p.","ipdsId":"IP-111750","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457721,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2020.117969","text":"Publisher Index Page"},{"id":437111,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98AHRE1","text":"USGS data release","linkHelpText":"Carbon assessment of Taxodium distichum knees in Mississippi River Alluvial Valley (2004)"},{"id":372597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Alluvial Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.56054687499999,\n              37.09023980307208\n            ],\n            [\n              -90.19775390625,\n              36.63316209558658\n            ],\n            [\n              -91.25244140624999,\n              35.02999636902566\n            ],\n            [\n              -91.64794921875,\n              33.99802726234877\n            ],\n            [\n              -92.3291015625,\n              32.69486597787505\n            ],\n            [\n              -92.43896484375,\n              31.316101383495624\n            ],\n            [\n              -92.04345703125,\n              29.82158272057499\n            ],\n            [\n              -90.90087890624999,\n              29.11377539511439\n            ],\n            [\n              -89.7802734375,\n              28.9600886880068\n            ],\n            [\n              -89.296875,\n              29.916852233070173\n            ],\n            [\n              -89.80224609374999,\n              30.44867367928756\n            ],\n            [\n              -91.16455078125,\n              30.44867367928756\n            ],\n            [\n              -90.9228515625,\n              31.784216884487385\n            ],\n            [\n              -90.68115234375,\n              32.97180377635759\n            ],\n            [\n              -90.3515625,\n              34.14363482031264\n            ],\n            [\n              -89.18701171875,\n              36.03133177633187\n            ],\n            [\n              -88.681640625,\n              37.020098201368114\n            ],\n            [\n              -89.56054687499999,\n              37.09023980307208\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"461","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":782902,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208518,"text":"70208518 - 2020 - Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry","interactions":[],"lastModifiedDate":"2020-02-14T06:20:44","indexId":"70208518","displayToPublicDate":"2020-02-13T08:04:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry","docAbstract":"Avian influenza (AI) affects wild aquatic birds and poses hazards to human health, food security, and wildlife conservation globally. Accordingly, there is a recognized need for new methods and tools to help quantify the dynamic interaction between wild bird hosts and commercial poultry. Using satellite-marked waterfowl,  we applied Bayesian joint hierarchical modeling  to concurrently model species distributions, residency times, migration timing, and disease occurrence probability under an integrated animal movement and disease distribution modeling framework.  Our results indicate that migratory waterfowl  are positively related to AI occurrence over North America such that as waterfowl occurrence probability or residence time increase at a given location, so too does the chance of a commercial poultry AI outbreak. Analyses also suggest that AI occurrence probability is greatest during our observed waterfowl northward migration, and less during the southward migration. Methodologically, we found that when modeling disparate facets of disease systems at the wildlife-agriculture interface, it is essential that multiscale spatial patterns be addressed to avoid mistakenly inferring a disease process or disease-environment relationship from a pattern evaluated at the improper spatial scale. The study offers important insights into migratory waterfowl ecology and AI disease dynamics that aid in better preparing for future outbreaks.","language":"English","publisher":"Nature","doi":"10.1038/s41598-020-59077-1","usgsCitation":"Humphreys, J.M., Ramey, A., Douglas, D., Mullinax, J.M., Soos, C., Link, P.T., Walther, P., and Prosser, D.J., 2020, Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry: Scientific Reports, v. 10, https://doi.org/10.1038/s41598-020-59077-1.","productDescription":"2595, 16 p.","startPage":"16","ipdsId":"IP-110829","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457734,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-59077-1","text":"Publisher Index Page"},{"id":437114,"rank":0,"type":{"id":30,"text":"Data 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-84.19921875,\n              8.928487062665504\n            ],\n            [\n              -82.6171875,\n              8.754794702435618\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphreys, John M.","contributorId":217932,"corporation":false,"usgs":false,"family":"Humphreys","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":782256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andy 0000-0002-3601-8400","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":222481,"corporation":false,"usgs":true,"family":"Ramey","given":"Andy","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":782257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":782258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":782263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soos, Catherine","contributorId":177909,"corporation":false,"usgs":false,"family":"Soos","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":782260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Link, Paul T.","contributorId":53611,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":782261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walther, Patrick","contributorId":213915,"corporation":false,"usgs":false,"family":"Walther","given":"Patrick","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":782262,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":782255,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70208031,"text":"sir20205002 - 2020 - Evaluation of legacy and emerging organic chemicals using passive sampling devices on the North Branch Au Sable River near Lovells, Michigan, June 2018","interactions":[],"lastModifiedDate":"2022-04-25T20:43:43.414269","indexId":"sir20205002","displayToPublicDate":"2020-02-12T14:42:03","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":"2020-5002","displayTitle":"Evaluation of Legacy and Emerging Organic Chemicals using Passive Sampling Devices on the North Branch Au Sable River near Lovells, Michigan, June 2018","title":"Evaluation of legacy and emerging organic chemicals using passive sampling devices on the North Branch Au Sable River near Lovells, Michigan, June 2018","docAbstract":"<p>The North Branch Au Sable River, located in the northern lower peninsula of Michigan near Lovells, Michigan, has historically been known for its brook trout (<i>Salvelinus fontinalis</i>) and its status as a blue ribbon trout stream; however, within the past few decades, there has been a decline in fish population. The objectives of this study were to assess if concentrations of organic chemicals were present in quantities in the North Branch Au Sable River that may potentially harm aquatic species and to establish current baseline concentrations of organic chemicals against which future data can be compared. Passive sampling technology was used to collect information on the concentration, occurrence, transport, and fate of organic chemicals; these samplers absorb dissolved organic chemicals in the river over several weeks, as the timing and intensity of pesticide applications and the frequency of storm events and irrigation can cause fluctuations in organic chemical loading to surface waters. The chemical classes investigated as part of this study included pesticides (both legacy [organochlorine] and current use), polychlorinated biphenyls, polybrominated diphenyl ethers (PBDEs), and polycyclic aromatic hydrocarbons (PAHs).</p><p>Passive samplers, including semipermeable membrane devices and polar organic chemical integrative samplers, were deployed at four locations along the North Branch Au Sable River, near Lovells, Mich., in June 2018 for a total of 28 days. Several organic chemicals were detected in the North Branch Au Sable River at low concentrations. Organic chemicals were detected at every sampling location on the North Branch Au Sable River; however, not all chemicals were detected at every location. The highest number of organic chemicals were detected at the most downstream sampling site (North Branch Au Sable River at Kellogg's Bridge), and the lowest number of organic chemicals were detected at the next site upstream (North Branch Au Sable River at Twin Bridge Road). The organic contaminants most frequently detected at all sampling locations include the legacy pesticides pentachloroanisole, <i>trans</i>-chlordane, p,p'-dichlorodiphenyldichloroethylene, and p,p'-dichlorodiphenyltrichloroethane; the PBDE PBDE-28; and the PAHs 2-methylphenanthrene and perylene.</p><p>Organic chemical concentrations detected on the North Branch Au Sable River were below almost all water-quality benchmarks included in this report. However, low concentrations of organic chemicals may still pose a risk to aquatic organisms and throughout the trophic hierarchy because of low-dose additive and synergistic mixture effects, transgenerational effects, and a lack of established water-quality benchmarks for many organic chemicals. This report provides data on the current (2018) state of the North Branch Au Sable River and provided a baseline of organic contaminant data against which future data on the North Branch Au Sable River can be evaluated.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205002","collaboration":"Prepared for the Mason-Griffith Founders Chapter of Trout Unlimited in cooperation with Lovells Township, Michigan","usgsCitation":"Brennan, A.K., and Alvarez, D.A., 2020, Evaluation of legacy and emerging organic chemicals using passive sampling devices on the North Branch Au Sable River near Lovells, Michigan, June 2018: U.S. Geological Survey Scientific Investigations Report 2020–5002, 21 p., https://doi.org/10.3133/sir20205002.","productDescription":"vi, 21 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-112993","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":399625,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109682.htm"},{"id":372284,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5002/sir20205002.pdf","text":"Report","size":"1.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5002"},{"id":372283,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5002/coverthb.jpg"}],"country":"United States","state":"Michigan","county":"Crawford County","city":"Lovells","otherGeospatial":"North Branch Au Sable River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.6833,\n              45\n            ],\n            [\n              -84.25,\n              45\n            ],\n            [\n              -84.25,\n              44.65\n            ],\n            [\n              -84.6833,\n              44.65\n            ],\n            [\n              -84.6833,\n              45\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/umidwater\" href=\"https://www.usgs.gov/centers/umidwater\">Upper Midwest Water Science Center</a> <br>U.S. Geological Survey<br>5840 Enterprise Drive <br>Lansing, MI 48911–4107</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results and Evaluation of Legacy and Emerging Organic Chemicals</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-02-12","noUsgsAuthors":false,"publicationDate":"2020-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Brennan, Angela K. 0000-0001-8066-9115","orcid":"https://orcid.org/0000-0001-8066-9115","contributorId":207860,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","email":"","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":780215,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208190,"text":"fs20193076 - 2020 - A review of Cattail (<em>Typha</em>) invasion in North American wetlands","interactions":[],"lastModifiedDate":"2020-02-13T06:37:25","indexId":"fs20193076","displayToPublicDate":"2020-02-12T14:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3076","displayTitle":"A Review of Cattail (<em>Typha</em>) Invasion in North American Wetlands","title":"A review of Cattail (<em>Typha</em>) invasion in North American wetlands","docAbstract":"<h1>Overview</h1><p>Cattail (<i>Typha</i>) is an iconic emergent wetland plant found worldwide. By producing an abundance of wind-dispersed seeds, cattail can colonize wetlands across great distances, and its rapid growth rate, large size, and aggressive expansion result in dense stands in a variety of aquatic ecosystems such as marshes, ponds, lakes, and riparian areas. Cattail can also quickly dominate disturbed areas with waterlogged soils such as roadside ditches, retention areas, and fringes of stormwater ponds. These dense stands impact local plant and animal life, biogeochemical cycling, and wetland hydrology, which in turn alter wetland functions. Over recent decades, the distribution and abundance of cattail in North America has increased as a result of human disturbances to natural water cycles and increased nutrient loads. In addition, highly competitive nonnative and hybrid taxa have worsened the rapid spread of cattail. Because cattail invasion and expansion often change wetlands in undesirable ways, wetland managers often respond with widespread management efforts, though these efforts may have short-lived or weak effects. Notwithstanding the negative impacts, cattail provides beneficial ecosystem services including the reduction of pollution through bioremediation and the production of biofuel material.</p><p>Despite the widespread distribution and invasive characteristics of cattail, a comprehensive review and synthesis of past and current research on cattail was lacking. To address this gap, a diverse team of researchers produced a paper that details the spread and management of cattail throughout North America, summarizing 4 decades of research from more than 650 references (Bansal and others, 2019). This fact sheet highlights the primary topics covered in the paper.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193076","usgsCitation":"Bansal, S., Tangen, B., Lishawa, S., Newman, S., and Wilcox, D., 2020, A review of Cattail (Typha) invasion in North American wetlands: U.S. Geological Survey Fact Sheet 2019-3076, 6 p., https://doi.org/10.3133/fs20193076.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-112132","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":371754,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3076/coverthb.jpg"},{"id":372286,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3076/fs20193076.pdf","text":"Report","size":"15.3 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3076"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/npwrc\" data-mce-href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a><br>U.S. Geological Survey<br>8711 37th Street Southeast<br>Jamestown, ND 58401-7317</p>","tableOfContents":"<ul><li>Overview</li><li>Biology and Ecology of Cattail</li><li>Ecological, Agricultural, and Biogeochemical Impacts of Cattail Invasion</li><li>Ecosystem Services</li><li>Management</li><li>Research Needs</li><li>Reference</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-02-12","noUsgsAuthors":false,"publicationDate":"2020-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":780883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":780884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lishawa, Shane 0000-0003-0284-1279","orcid":"https://orcid.org/0000-0003-0284-1279","contributorId":217543,"corporation":false,"usgs":false,"family":"Lishawa","given":"Shane","email":"","affiliations":[{"id":39655,"text":"Loyola University","active":true,"usgs":false}],"preferred":false,"id":780885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Sue 0000-0001-8340-2600","orcid":"https://orcid.org/0000-0001-8340-2600","contributorId":221993,"corporation":false,"usgs":false,"family":"Newman","given":"Sue","email":"","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":780886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilcox, Douglas 0000-0002-2871-4131","orcid":"https://orcid.org/0000-0002-2871-4131","contributorId":175418,"corporation":false,"usgs":false,"family":"Wilcox","given":"Douglas","email":"","affiliations":[{"id":27569,"text":"SUNY – College at Brockport","active":true,"usgs":false}],"preferred":false,"id":780887,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209138,"text":"70209138 - 2020 - Forest vegetation change and its impacts on soil water following 47 years of managed wildfire","interactions":[],"lastModifiedDate":"2020-11-30T17:06:34.756599","indexId":"70209138","displayToPublicDate":"2020-02-12T06:54:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Forest vegetation change and its impacts on soil water following 47 years of managed wildfire","docAbstract":"Managed wildfire is an increasingly relevant management option to restore variability in vegetation structure within fire-suppressed montane forests in western North America. Managed wildfire often reduces tree cover and density, potentially leading to increases in soil moisture availability, water storage in soils and groundwater, and streamflow. However, the potential hydrologic impacts of managed wildfire in montane watersheds remain uncertain and are likely context-dependent. Here we characterize the response of vegetation and soil moisture to 47 years (1971-2018) of managed wildfire in Sugarloaf Creek Basin (SCB) in Sequoia-Kings Canyon National Park in the Sierra Nevada, California, USA, using repeat plot-measurements, remote-sensing of vegetation, and a combination of continuous in-situ and episodic spatially-distributed soil moisture measurements. We find that, by comparison to a nearby watershed with higher vegetation productivity and greater fire frequency, the managed wildfire regime at SCB caused relatively little change in dominant vegetation over the 47 year period, and relatively little response of soil moisture. Fire occurrence was limited to drier mixed-conifer sites; fire-caused overstory tree mortality patches were generally < 10 ha, and fires had little effect on removing mid- and lower strata trees. Few dense meadow areas were created by fire, with most forest conversion leading to sparse meadow and shrub areas, which had similar soil moisture profiles to nearby mixed-conifer vegetation. Future fires in SCB could be managed to encourage greater tree mortality adjacent to wetlands to increase soil moisture, although the potential hydrologic benefits of the program in drier basins such as this one may be limited.  ","language":"English","publisher":"Springer","doi":"10.1007/s10021-020-00489-5","usgsCitation":"Stevens, J., Boisrame, G.F., Rakhmatulina, E., Thompson, S.E., Collins, B.M., and Stephens, S.L., 2020, Forest vegetation change and its impacts on soil water following 47 years of managed wildfire: Ecosystems, v. 23, p. 1547-1565, https://doi.org/10.1007/s10021-020-00489-5.","productDescription":"19 p.","startPage":"1547","endPage":"1565","ipdsId":"IP-112612","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437118,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92I6JZQ","text":"USGS data release","linkHelpText":"Forestry and soil moisture data from Sugarloaf Creek Basin, CA; 1970-2017"},{"id":373357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia-Kings Canyon National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.827880859375,\n              35.40248356426937\n            ],\n            [\n              -117.61962890624999,\n              35.40248356426937\n            ],\n            [\n              -117.61962890624999,\n              37.18657859524883\n            ],\n            [\n              -119.827880859375,\n              37.18657859524883\n            ],\n            [\n              -119.827880859375,\n              35.40248356426937\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Jens 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":222191,"corporation":false,"usgs":true,"family":"Stevens","given":"Jens","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":785080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boisrame, Gabrielle F. S.","contributorId":223456,"corporation":false,"usgs":false,"family":"Boisrame","given":"Gabrielle","email":"","middleInitial":"F. S.","affiliations":[],"preferred":false,"id":785085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rakhmatulina, Ekaterina","contributorId":223457,"corporation":false,"usgs":false,"family":"Rakhmatulina","given":"Ekaterina","email":"","affiliations":[],"preferred":false,"id":785086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Sally E.","contributorId":223458,"corporation":false,"usgs":false,"family":"Thompson","given":"Sally","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":785087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collins, Brandon M.","contributorId":127850,"corporation":false,"usgs":false,"family":"Collins","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":7169,"text":"USDA Forest Service, UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":785088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephens, Scott L.","contributorId":46022,"corporation":false,"usgs":false,"family":"Stephens","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":785089,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208515,"text":"70208515 - 2020 - Mixed organic and inorganic tapwater exposures and potential effects in greater Chicago area, USA","interactions":[],"lastModifiedDate":"2021-05-28T14:10:09.420096","indexId":"70208515","displayToPublicDate":"2020-02-11T08:13:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mixed organic and inorganic tapwater exposures and potential effects in greater Chicago area, USA","docAbstract":"Safe drinking water at the point of use (tapwater, TW) is a public-health priority. TW exposures and potential human-health concerns of 540 organics and 35 inorganics were assessed in 45 Chicago area United States (US) homes in 2017. No US Environmental Protection Agency (EPA) enforceable Maximum Contaminant Level(s) (MCL) were exceeded in any residential or water treatment plant (WTP) pre-distribution TW sample. Ninety percent (90%) of organic analytes were not detected in treated TW, emphasizing the high quality of the Lake Michigan drinking-water source and the efficacy of the drinking-water treatment and monitoring. Sixteen (16) organics were detected in >25% of TW samples, with about 50 detected at least once. Low-level TW exposures to unregulated disinfection byproducts (DBP) of emerging concern, per/polyfluoroalkyl substances (PFAS), and three pesticides were ubiquitous. Common exceedances of non-enforceable EPA MCL Goal(s) (MCLG) of zero for arsenic [As], lead [Pb], uranium [U]), bromodichloromethane, and tribromomethane suggest potential human health concerns and emphasize the continuing need for improved understanding of cumulative effects of low-concentration mixtures on vulnerable sub-populations. Because DBP dominated TW organics, residential TW concentrations are potentially predictable with expanded pre-distribution DBP monitoring. However, several TW chemicals, notably Pb and several infrequently detected organic compounds, were not readily explained by pre distribution samples, illustrating the need for continued broad inorganic/organic TW characterization to support consumer assessment of acceptable risk and point-of-use treatment options.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.137236","usgsCitation":"Bradley, P., Argos, M., Kolpin, D., Meppelink, S., Romanok, K., Smalling, K., Focazio, M.J., Allen, J.M., Dietze, J., Devito, M.J., Donovan, A., Evans, N., Givens, C.E., Gray, J., Higgins, C.P., Hladik, M.L., Iwanowicz, L., Journey, C., Lane, R.F., Laughrey, Z.R., Loftin, K., McCleskey, R.B., McDonough, C.A., Medlock Kakaley, E.K., Meyer, M.T., Holthouse-Putz, A., Richardson, S.D., Stark, A., Weis, C.P., Wilson, V.S., and Zehraoui, A., 2020, Mixed organic and inorganic tapwater exposures and potential effects in greater Chicago area, USA: Science of the Total Environment, v. 719, 137236, 16 p., https://doi.org/10.1016/j.scitotenv.2020.137236.","productDescription":"137236, 16 p.","ipdsId":"IP-105697","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":457762,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9140060","text":"Publisher Index Page"},{"id":437119,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VOOBWT","text":"USGS data release","linkHelpText":"Mixed Organic and Inorganic Tapwater Results in the Greater Chicago Area, USA, 2017-2019"},{"id":372300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Chicago","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": 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zlaughrey@usgs.gov","orcid":"https://orcid.org/0000-0002-7630-2078","contributorId":198516,"corporation":false,"usgs":true,"family":"Laughrey","given":"Zachary","email":"zlaughrey@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":782244,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":205662,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":782236,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":782266,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"McDonough, Carrie A. 0000-0001-5152-8495","orcid":"https://orcid.org/0000-0001-5152-8495","contributorId":205664,"corporation":false,"usgs":false,"family":"McDonough","given":"Carrie","email":"","middleInitial":"A.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":782267,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Medlock Kakaley, Elizabeth K","contributorId":220449,"corporation":false,"usgs":false,"family":"Medlock Kakaley","given":"Elizabeth","email":"","middleInitial":"K","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":782268,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":782269,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Holthouse-Putz, Andrea","contributorId":222472,"corporation":false,"usgs":false,"family":"Holthouse-Putz","given":"Andrea","email":"","affiliations":[{"id":40543,"text":"City of Chicago, Department of Water Management","active":true,"usgs":false}],"preferred":false,"id":782237,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Richardson, Susan D 0000-0001-6207-4513","orcid":"https://orcid.org/0000-0001-6207-4513","contributorId":222473,"corporation":false,"usgs":false,"family":"Richardson","given":"Susan","email":"","middleInitial":"D","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":782238,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Stark, Alan","contributorId":210215,"corporation":false,"usgs":false,"family":"Stark","given":"Alan","email":"","affiliations":[],"preferred":false,"id":782239,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Weis, Christopher P. 0000-0002-7678-1080","orcid":"https://orcid.org/0000-0002-7678-1080","contributorId":205667,"corporation":false,"usgs":false,"family":"Weis","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":37136,"text":"NIH/NIEHS","active":true,"usgs":false}],"preferred":false,"id":782240,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Wilson, Vickie S. 0000-0003-1661-8481","orcid":"https://orcid.org/0000-0003-1661-8481","contributorId":184092,"corporation":false,"usgs":false,"family":"Wilson","given":"Vickie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":782241,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Zehraoui, Abderrahman","contributorId":210218,"corporation":false,"usgs":false,"family":"Zehraoui","given":"Abderrahman","email":"","affiliations":[],"preferred":false,"id":782242,"contributorType":{"id":1,"text":"Authors"},"rank":31}]}}
,{"id":70206441,"text":"sir20195122 - 2020 - Hydrogeologic characterization, groundwater chemistry, and vulnerability assessment, Ute Mountain Ute Reservation, Colorado and Utah","interactions":[],"lastModifiedDate":"2022-04-25T19:05:32.137207","indexId":"sir20195122","displayToPublicDate":"2020-02-10T14:00:00","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":"2019-5122","displayTitle":"Hydrogeologic Characterization, Groundwater Chemistry, and Vulnerability Assessment, Ute Mountain Ute Reservation, Colorado and Utah","title":"Hydrogeologic characterization, groundwater chemistry, and vulnerability assessment, Ute Mountain Ute Reservation, Colorado and Utah","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Ute Mountain Ute Tribe (UMUT), initiated a study in 2016 to increase understanding of the hydrogeology and chemistry of groundwater within select areas of the Ute Mountain Ute Reservation (UMUR) in Colorado and Utah, identify vulnerabilities to the system and other natural resources, and outline information needs to aid in the understanding and protection of groundwater resources. The results presented for this study can be used to support the UMUT’s goal of protecting their vital groundwater resources on the UMUR.</p><p>Hydrogeologic conditions were characterized for the surficial aquifer contained in Quaternary-age unconsolidated surficial deposits and the Dakota aquifer contained in the Cretaceous-age Dakota Sandstone. In the surficial aquifer, median depth to water ranges from about 5.4 to 17.2 feet below land surface in the Farm and Ranch Enterprise area and 11 to 34 feet below land surface in the Towaoc area, and the water table slopes generally southwest or south. A map of depth to the top of the Dakota Sandstone was constructed from existing well data. Depths range from zero in outcrop areas to more than 3,000 feet below land surface on mesas in the southeastern part of the UMUR.</p><p>Groundwater-chemistry data were collected by the UMUT from 13 springs and 31 wells from 1996 through 2017. Specific conductance was much lower for samples from springs than from wells; median values were 512 and 6,024 microsiemens per centimeter at 25 degrees Celsius, respectively. Spring samples were well oxygenated. A few well samples were anoxic (dissolved oxygen concentrations less than 0.5 milligrams per liter [mg/L]), indicating reducing conditions in the aquifer. About 75 percent of spring samples had fresh water (total dissolved solids concentrations less than 1,000 mg/L), and about 85 percent of well samples had brackish or highly saline water (total dissolved solids concentrations greater than 1,000 mg/L). Water type for springs on the Ute Mountains was calcium bicarbonate. Lower-altitude springs had a calcium-sulfate water type. Most well samples had sodium as the dominant cation, and sulfate, bicarbonate, and chloride as the dominant anions. Fluoride&nbsp;concentrations in about 45 percent of well samples were greater than an agricultural-use standard of 2 mg/L.</p><p>Nitrate plus nitrite concentrations in most spring and well samples were less than about 1.6 mg/L per liter. Concentrations in samples from wells in the irrigated agricultural area were elevated; the maximum concentration was 78.5 mg/L. About one-half of the trace-element samples had concentrations that were less than laboratory reporting limits. Only aluminum, arsenic, and selenium in spring samples, and boron and selenium in well samples, were detected at concentrations greater than surface-water standards or water-quality standards for agricultural use of groundwater.</p><p>Only three organic compounds, the pesticides alachlor and atrazine and the volatile organic compound di(2-ethylhexyl) phthalate, were detected in well samples. The <i>Escherichia coli</i> bacteria was detected in 47 and 23 percent of samples from wells and springs, respectively. The <i>E. coli</i> detections included samples from three culturally significant springs, which did not meet the UMUT cultural-use standard of total absence of <i>E. coli.</i></p><p>Tritium and carbon-14 were the primary environmental tracers used for interpreting groundwater ages for Lopez 2 Spring and five wells (AP–1, 5000 Block, Cottonwood Spring, Goodknight, and SE Toe). Water from the AP–1 well contained a mixture of pre- and post-1950s recharge. Tritium and carbon-14 recharge ages for Lopez 2 Spring (post-1950s in age), Goodknight and SE Toe wells (pre-1950s in age), and Cottonwood Spring well (primarily pre-1950s in age) are supported by helium-4 data. The helium-4 data for the 5000 Block well are inconsistent with the tritium and carbon-14 age of pre-1950s recharge because of interference caused by high methane concentrations in the water.&nbsp;</p><p>Springs and surficial deposits are more vulnerable to contamination from anthropogenic chemicals than deeper bedrock wells. Bedrock aquifers are vulnerable in areas where the geologic formations containing the aquifers are exposed at the land surface. Groundwater in deep bedrock aquifers is likely thousands of years old and is not currently affected by present-day land uses. Both shallow and deep groundwater are vulnerable to naturally occurring salts and minerals, such as of total dissolved solids, major ions, nitrate, and trace elements.</p><p>Effects of a changing climate on water resources and other ecological characteristics of the UMUR could include changes in evapotranspiration, a decrease in snowpack, decreased aquifer recharge and flow of springs, a decrease in soil moisture, and increased occurrence of wildfires and forest mortality. Of particular interest for the UMUT are possible effects of a changing climate on medicinal and culturally important plants and springs</p><p>Several information needs were identified during this study that would aid in the understanding and protection of groundwater resources on the UMUR. These include well-completion information for bedrock wells, the collection of environmental tracer data at additional wells, the addition of methane and hydrocarbon analysis to well sampling plans, and the resampling of springs and wells that were last sampled in 2002 or earlier.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195122","collaboration":"Prepared in cooperation with the Ute Mountain Ute Tribe","usgsCitation":"Bauch, N.J., and Arnold, L.R., 2020, Hydrogeologic characterization, groundwater chemistry, and vulnerability assessment, Ute Mountain Ute Reservation, Colorado and Utah: U.S. Geological Survey Scientific Investigations Report 2019–5122, 76 p., https://doi.org/10.3133/sir20195122.","productDescription":"Report: ix, 76 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-095027","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":399604,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109676.htm"},{"id":372110,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S4MOB6","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial datasets for estimating depth to the top of the Dakota Sandstone, Ute Mountain Ute Reservation, Colorado, 2017"},{"id":372108,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5122/coverthb.jpg"},{"id":372109,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5122/sir20195122.pdf","text":"Report","size":"8.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5122"}],"country":"United States","state":"Colorado","otherGeospatial":"Ute Mountain Ute Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.0333,\n              37\n            ],\n            [\n              -108.2667,\n              37\n            ],\n            [\n              -108.2667,\n              37.3564\n            ],\n            [\n              -109.0333,\n              37.3564\n            ],\n            [\n              -109.0333,\n              37\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://co.water.usgs.gov/\" data-mce-href=\"https://co.water.usgs.gov/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-415<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Hydrogeologic Characterization</li><li>Methods for Compilation and Analysis of Groundwater-Chemistry Data</li><li>Hydrogeologic Characterization of Surficial Deposits and Dakota Sandstone</li><li>Groundwater Chemistry</li><li>Vulnerability Assessment</li><li>Information Needs</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Hydrogeologic Characterization</li><li>Appendix 2. Supplemental Information for Data-Quality Assurance</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-02-10","noUsgsAuthors":false,"publicationDate":"2020-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bauch, Nancy J. 0000-0002-0302-2892","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":202707,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, L. Rick 0000-0002-5110-9642","orcid":"https://orcid.org/0000-0002-5110-9642","contributorId":214770,"corporation":false,"usgs":false,"family":"Arnold","given":"L. Rick","affiliations":[],"preferred":false,"id":774554,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70225151,"text":"70225151 - 2020 - Modelling pinniped abundance and distribution by combining counts at terrestrial sites and in-water sightings","interactions":[],"lastModifiedDate":"2021-10-14T12:36:44.168238","indexId":"70225151","displayToPublicDate":"2020-02-09T07:34:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modelling pinniped abundance and distribution by combining counts at terrestrial sites and in-water sightings","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\"><div id=\"abst0010\"><p id=\"spar0060\">Pinnipeds are commonly monitored using aerial photographic surveys at land- or ice-based sites, where animals come ashore for resting, pupping, molting, and to avoid predators. Although these counts form the basis for monitoring population change over time, they do not provide information regarding where animals occur in the water, which is often of management and conservation interest. In this study, we developed a hierarchical model that links counts of pinnipeds at terrestrial sites to sightings-at-sea and estimates abundance, spatial distribution, and the proportion of time spent on land (attendance probability). The structure of the model also allows for the inclusion of predictors that may explain variation in ecological and observation processes. We applied the model to Steller sea lions (<i>Eumetopias jubatus</i>) in Glacier Bay, Alaska using counts of sea lions from aerial photographic surveys and opportunistic in-water sightings from vessel surveys. Glacier Bay provided an ideal test and application of the model because data are available on attendance probability based on long-term monitoring. We found that occurrence in the water was positively related to proximity to terrestrial sites, as would be expected for a species that engages in central-place foraging. The proportion of sea lions in attendance at terrestrial sites and overall abundance estimates were consistent with reports from the literature and monitoring programs. The model we describe has benefit and utility for park managers who wish to better understand the overlap between pinnipeds and visitors, and the framework that we present has potential for application across a variety of study systems and taxa.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2020.108965","usgsCitation":"Whitlock, S., Womble, J., and Peterson, J., 2020, Modelling pinniped abundance and distribution by combining counts at terrestrial sites and in-water sightings: Ecological Modelling, v. 420, 108965, 11 p., https://doi.org/10.1016/j.ecolmodel.2020.108965.","productDescription":"108965, 11 p.","ipdsId":"IP-105882","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":457777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2020.108965","text":"Publisher Index Page"},{"id":390517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -139.63623046875,\n              57.237448817822425\n            ],\n            [\n              -132.16552734375,\n              57.237448817822425\n            ],\n            [\n              -132.16552734375,\n              59.58441353704829\n            ],\n            [\n              -139.63623046875,\n              59.58441353704829\n            ],\n            [\n              -139.63623046875,\n              57.237448817822425\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"420","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whitlock, Steven L.","contributorId":267708,"corporation":false,"usgs":false,"family":"Whitlock","given":"Steven L.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":825171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Womble, Jamie N.","contributorId":267709,"corporation":false,"usgs":false,"family":"Womble","given":"Jamie N.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":825172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":825170,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227739,"text":"70227739 - 2020 - Estuarine submerged aquatic vegetation habitat provides organic carbon storage across a shifting landscape","interactions":[],"lastModifiedDate":"2022-01-28T16:06:48.496916","indexId":"70227739","displayToPublicDate":"2020-02-08T10:02:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Estuarine submerged aquatic vegetation habitat provides organic carbon storage across a shifting landscape","docAbstract":"<p><span>Submerged aquatic vegetation (SAV) thrives across the estuarine salinity gradient providing valuable ecosystem services. Within the saline portion of estuaries, seagrass areas are frequently cited as hotspots for their role in capturing and retaining organic carbon (C</span><sub>org</sub><span>). Non-seagrass SAV, located in the fresh to brackish estuarine areas, may also retain significant soil C</span><sub>org</sub><span>, yet their role remains unquantified. Given rapidly occurring landscape and salinity changes due to human and natural disturbances, landscape level carbon pool estimates from estuarine SAV habitat blue carbon estimates are needed. We assessed C</span><sub>org</sub><span>&nbsp;stocks in SAV habitat soils from estuarine freshwater to saline habitats (interior deltaic) to saline barrier islands (Chandeleur Island) within the Mississippi River Delta Plain (MRDP), Louisiana, USA. SAV habitats contain C</span><sub>org</sub><span>&nbsp;stocks equivalent to those reported for other estuarine vegetation types (seagrass, salt marsh, mangrove). Interior deltaic SAV C</span><sub>org</sub><span>&nbsp;stocks (231.6&nbsp;±&nbsp;19.5&nbsp;Mg C</span><sub>org</sub><span>&nbsp;ha</span><sup>−1</sup><span>) were similar across the salinity gradient, and significantly higher than at barrier island sites (56.6&nbsp;±&nbsp;10.4&nbsp;Mg C</span><sub>org</sub><span>&nbsp;ha</span><sup>−1</sup><span>). Within the MRDP, shallow water SAV habitat covers up to an estimated 28,000&nbsp;ha, indicating that soil C</span><sub>org</sub><span>&nbsp;storage is potentially 6.4&nbsp;±&nbsp;0.1 Tg representing an unaccounted C</span><sub>org</sub><span>&nbsp;pool. Extrapolated across Louisiana, and the Gulf of Mexico, this represents a major unaccounted pool of soil C</span><sub>org</sub><span>. As marshes continue to erode, the ability of coastal SAV habitat to offset some of the lost carbon sequestration may be valuable. Our estimates of C</span><sub>org</sub><span>&nbsp;sequestration rates indicated that conversion of eroding marsh to potential SAV habitat may help to offset the reduction of C</span><sub>org</sub><span>&nbsp;sequestration rates. Across Louisiana, we estimated SAV to offset this loss by as much as 79,000&nbsp;Mg C yr</span><sup>−1</sup><span>&nbsp;between the 1960s and 2000s.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.137217","usgsCitation":"Hillman, E.R., Rivera-Monroy, V., Nyman, A.J., and La Peyre, M., 2020, Estuarine submerged aquatic vegetation habitat provides organic carbon storage across a shifting landscape: Science of the Total Environment, v. 717, 137217, 12 p., https://doi.org/10.1016/j.scitotenv.2020.137217.","productDescription":"137217, 12 p.","ipdsId":"IP-090252","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":457780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.lsu.edu/agrnr_pubs/603","text":"Publisher Index Page"},{"id":395067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.6431884765625,\n              29.776297851831366\n            ],\n            [\n              -88.81072998046875,\n              30.21398171687066\n            ],\n            [\n              -89.56878662109375,\n              30.161751648356894\n            ],\n            [\n              -89.86541748046875,\n              30.401306519203583\n            ],\n            [\n              -90.318603515625,\n              30.557530797259172\n            ],\n            [\n              -91.01074218749999,\n              30.57408532473883\n            ],\n            [\n              -91.15631103515625,\n              30.28990324883237\n            ],\n            [\n              -91.834716796875,\n              29.935895213372444\n            ],\n            [\n              -91.878662109375,\n              29.76437737516313\n            ],\n            [\n              -91.285400390625,\n              29.008140362978157\n            ],\n            [\n              -90.428466796875,\n              28.738763971370293\n            ],\n            [\n              -89.05517578125,\n              28.9120147012556\n            ],\n            [\n              -88.6431884765625,\n              29.776297851831366\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"717","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillman, E. R.","contributorId":264718,"corporation":false,"usgs":false,"family":"Hillman","given":"E.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":831996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rivera-Monroy, V. H.","contributorId":272502,"corporation":false,"usgs":false,"family":"Rivera-Monroy","given":"V. H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":831997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nyman, A. J.","contributorId":265337,"corporation":false,"usgs":false,"family":"Nyman","given":"A.","email":"","middleInitial":"J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":831998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":831999,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208404,"text":"70208404 - 2020 - Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing","interactions":[],"lastModifiedDate":"2020-03-11T15:23:08","indexId":"70208404","displayToPublicDate":"2020-02-07T13:35:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing","docAbstract":"Sediment budgets are a critical metric to assess coastal marsh vulnerability to sea-level rise and declining riverine sediment inputs. However, calculating accurate sediment budgets is challenging in tidal marsh-influenced estuaries where suspended sediment concentrations (SSC) typically vary on scales of hours and meters, and where SSC dynamics are driven by a complex and often site-specific interplay of hydrodynamic and meteorological conditions. The mapping of SSC using ocean-color remote sensing is well established and can help capture the spatio-temporal variability needed to determine the dominant drivers regulating sediment budgets. However, the coarse spatial resolution of traditional ocean-color sensors (1-km) generally precludes their use in coastal-marsh estuaries. Here, using the Plum Island Estuary (Massachusetts, USA) as an example, we demonstrate that high-spatial-resolution maps of SSC derived from Landsat-8 Operational Land Imager (OLI) and Sentinel-2A/B Multispectral Instruments (MSI) can be used to determine the main drivers of SSC dynamics in tidal marsh-influenced estuaries, despite the long revisit time of these sensors. Local empirical algorithms between SSC and remote sensing reflectance were derived and applied to a total of 46 clear-sky scenes collected by the OLI and the MSI between 2013 and 2018. The analysis revealed that this 5-year record was sufficient to capture a representative range of meteorological and tidal conditions required to determine the main drivers of SSC dynamics in this mid-latitude system. The interplay between river and tidal flows dominated SSC dynamics in this estuary, whereas wind-driven resuspension had more moderate effects. The SSC were higher during spring because of increased river discharge due to snowmelt. Tidal asymmetry also enhanced sediment resuspension during flood tides, possibly favoring deposition on marsh platforms. Together, water level, water-level rate of change, river discharge and wind speed were able to explain > 60% of the variability in the main-channel thalweg-averaged SSC, thereby facilitating future prediction of SSC from these readily available variables. This study demonstrates that the existing multi-year records of high-resolution remote sensing can provide a representative depiction of SSC dynamics in hydrodynamically-complex and small-scale estuaries that moderate-resolution ocean color remote sensing and in situ measurements are unable to capture.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2020.111682","usgsCitation":"Zhang, X., Fichot, C., Baracco, C., Guo, R., Neugebauer, S., Bengtsson, Z., Ganju, N., and Fagherazzi, S., 2020, Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing: Remote Sensing, v. 240, 111682, 14 p., https://doi.org/10.1016/j.rse.2020.111682.","productDescription":"111682, 14 p.","ipdsId":"IP-109014","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2020.111682","text":"Publisher Index Page"},{"id":372176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Plum Island Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.9771728515625,\n              42.72683914955442\n            ],\n            [\n              -70.68328857421875,\n              42.72683914955442\n            ],\n            [\n              -70.68328857421875,\n              42.871938424448466\n            ],\n            [\n              -70.9771728515625,\n              42.871938424448466\n            ],\n            [\n              -70.9771728515625,\n              42.72683914955442\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"240","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Xiaohe","contributorId":213308,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaohe","email":"","affiliations":[],"preferred":false,"id":781753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fichot, Cedric","contributorId":222269,"corporation":false,"usgs":false,"family":"Fichot","given":"Cedric","affiliations":[{"id":40511,"text":"Department of Earth and Environment, Boston University, Boston, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":781754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baracco, Carly","contributorId":222270,"corporation":false,"usgs":false,"family":"Baracco","given":"Carly","email":"","affiliations":[{"id":40511,"text":"Department of Earth and Environment, Boston University, Boston, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":781755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Ruizhe","contributorId":222271,"corporation":false,"usgs":false,"family":"Guo","given":"Ruizhe","email":"","affiliations":[{"id":40512,"text":"NASA DEVELOP National Program, Boston, MA, USA","active":true,"usgs":false}],"preferred":false,"id":781756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neugebauer, Sydney","contributorId":222272,"corporation":false,"usgs":false,"family":"Neugebauer","given":"Sydney","email":"","affiliations":[{"id":40512,"text":"NASA DEVELOP National Program, Boston, MA, USA","active":true,"usgs":false}],"preferred":false,"id":781757,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bengtsson, Zachary","contributorId":222273,"corporation":false,"usgs":false,"family":"Bengtsson","given":"Zachary","email":"","affiliations":[{"id":40512,"text":"NASA DEVELOP National Program, Boston, MA, USA","active":true,"usgs":false}],"preferred":false,"id":781758,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":781752,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fagherazzi, Sergio","contributorId":207153,"corporation":false,"usgs":false,"family":"Fagherazzi","given":"Sergio","email":"","affiliations":[{"id":37465,"text":"Boston University, Earth and Environment, Boston, 02215, USA.","active":true,"usgs":false}],"preferred":false,"id":781759,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70228164,"text":"70228164 - 2020 - Water quality and ecological risk assessment of intermittent streamflow through mining and urban areas of San Marcos River sub-basin, Mexico","interactions":[],"lastModifiedDate":"2022-02-07T19:32:21.43433","indexId":"70228164","displayToPublicDate":"2020-02-07T13:10:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10088,"text":"Environmental Nanotechnology, Monitoring & Management","onlineIssn":"2215-1532","active":true,"publicationSubtype":{"id":10}},"title":"Water quality and ecological risk assessment of intermittent streamflow through mining and urban areas of San Marcos River sub-basin, Mexico","docAbstract":"<p><span>Intermittent rivers are becoming more ecologically stressed worldwide. Flow cessation occurs naturally and spatiotemporally in these systems and anthropogenic activities such as wastewater discharges can have considerable impacts. Public entities mostly monitor water quality in permanent streams, leading to insufficient monitoring of intermittent streams and consequently to their potentially inadequate management.. This study analyzed spatiotemporal patterns of water quality and associated ecological risk through the quantification of physicochemical and microbiological pollutants in the intermittent river system of El Novillo and San Marcos in Northeast Mexico. Results showed that water quality varied geographically and seasonally. Based on national and international criteria, annual averages of water quality parameters analyzed suggested that streamflow in these river systems is of poor quality and poses high ecological risk to aquatic life. In the urban area, annual mean concentrations of Cd and Pb (0.14 and 0.4 mg/L) were 77- and 10-fold higher than their respective water quality criteria (&lt;0.0018 and 0.04 mg/L). Statistically significant (q &lt; 0.05) correlations were identified in concentrations of cyanide, Cd, Cu and Pb between wastewater seeping into the river and streamflow within the urban area. These observations highlight the unique sensitivity of intermittent urban streams to anthropogenic activities and may provide useful information to enhance current water management plans for the El Novillo-San Marcos River system for the protection of ecosystem integrity and human health.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enmm.2020.100369","usgsCitation":"Lopez, E., Patino, R., Vazquez-Sauceda, M.L., Perez-Castaneda, R., Arellano-Mendez, L.U., Ventura-Houle, R., and Heyer, L., 2020, Water quality and ecological risk assessment of intermittent streamflow through mining and urban areas of San Marcos River sub-basin, Mexico: Environmental Nanotechnology, Monitoring & Management, v. 14, 100369, 9 p., https://doi.org/10.1016/j.enmm.2020.100369.","productDescription":"100369, 9 p.","ipdsId":"IP-109161","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"El Novillo Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.37109375,\n              23.644524198573688\n            ],\n            [\n              -97.998046875,\n              23.644524198573688\n            ],\n            [\n              -97.998046875,\n              25.16517336866393\n            ],\n            [\n              -100.37109375,\n              25.16517336866393\n            ],\n            [\n              -100.37109375,\n              23.644524198573688\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Elisenda","contributorId":274748,"corporation":false,"usgs":false,"family":"Lopez","given":"Elisenda","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vazquez-Sauceda, Maria L.","contributorId":274749,"corporation":false,"usgs":false,"family":"Vazquez-Sauceda","given":"Maria","email":"","middleInitial":"L.","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perez-Castaneda, Roberto","contributorId":274750,"corporation":false,"usgs":false,"family":"Perez-Castaneda","given":"Roberto","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arellano-Mendez, Leonardo U.","contributorId":274751,"corporation":false,"usgs":false,"family":"Arellano-Mendez","given":"Leonardo","email":"","middleInitial":"U.","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ventura-Houle, Rene","contributorId":274752,"corporation":false,"usgs":false,"family":"Ventura-Houle","given":"Rene","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833284,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heyer, Lorenzo","contributorId":274753,"corporation":false,"usgs":false,"family":"Heyer","given":"Lorenzo","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833285,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208463,"text":"70208463 - 2020 - Sensitivity of warm water fishes and rainbow trout to selected contaminants","interactions":[],"lastModifiedDate":"2020-03-11T15:27:24","indexId":"70208463","displayToPublicDate":"2020-02-07T09:08:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of warm water fishes and rainbow trout to selected contaminants","docAbstract":"<p><span>Guidelines for developing water quality standards allow U.S. states to exclude toxicity data for the family Salmonidae (trout and salmon) when deriving guidelines for warm-water habitats. This practice reflects the belief that standards based on salmonid data may be overprotective of toxic effects on other fish taxa. In acute tests with six chemicals and eight fish species, the salmonid, Rainbow Trout (</span><i>Oncorhynchus mykiss</i><span>), was the most sensitive species tested with copper, zinc, and sulfate, but warm-water species were most sensitive to nickel, chloride, and ammonia. Overall, warm-water fishes, including sculpins (Cottidae) and sturgeons (Acipenseridae), were about as sensitive as salmonids in acute tests and in limited chronic testing with Lake Sturgeon (</span><i>Acipenser fulvescens</i><span>) and Mottled Sculpin (</span><i>Cottus bairdi</i><span>). In rankings of published acute values, invertebrate taxa were most sensitive for all six chemicals tested and there was no trend for greater sensitivity of salmonids compared to warm-water fish.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00128-020-02788-y","usgsCitation":"Besser, J.M., Dorman, R.A., Ivey, C.D., Cleveland, D.M., and Steevens, J.A., 2020, Sensitivity of warm water fishes and rainbow trout to selected contaminants: Bulletin of Environmental Contamination and Toxicology, v. 104, p. 321-326, https://doi.org/10.1007/s00128-020-02788-y.","productDescription":"6 p.","startPage":"321","endPage":"326","ipdsId":"IP-112054","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":372219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781996,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212514,"text":"70212514 - 2020 - Plastic faulting in ice","interactions":[],"lastModifiedDate":"2020-08-19T13:51:58.437896","indexId":"70212514","displayToPublicDate":"2020-02-07T08:41:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5999,"text":"Journal of Geophysical Research- Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Plastic faulting in ice","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Plastic faulting is a brittle‐like failure phenomenon exhibited by water ice and several other rock types under confinement. It is suspected to be the mechanism of deep earthquakes and extreme cases of shear localization in shallow rocks. Unlike ordinary Coulombic failure, plastic faulting is characterized by a pressure‐independent failure strength and fault plane oriented 45° to maximum principal stress. To research the question of how the instability initiates, we conducted over 50 constant‐displacement‐rate experiments on polycrystalline ice (phases Ih and II) near the brittle‐to‐ductile (B‐D) transition, at confining pressures<span>&nbsp;</span><i>P</i><span>&nbsp;</span>= 0–300 MPa, applied strain rates<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/12ed9fe1-8c21-4459-84ac-581223d11929/jgrb54034-math-0001.png\" alt=\"urn:x-wiley:21699313:media:jgrb54034:jgrb54034-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/12ed9fe1-8c21-4459-84ac-581223d11929/jgrb54034-math-0001.png\"><span>&nbsp;</span>= 5 × 10<sup>−5</sup><span>&nbsp;</span>– 7 × 10<sup>−3</sup><span>&nbsp;</span>s<sup>−1</sup>, temperatures<span>&nbsp;</span><i>T</i><span>&nbsp;</span>= 105–233 K, and mean grain sizes<span>&nbsp;</span><i>d</i><span>&nbsp;</span>= 0.25–1.18 mm. We find that (1) the width of the B‐D transition in variable space is vanishingly narrow, to the point of appearing as a crossover, (2) a plastic fault plane, once formed, is not a zone of subsequent weakness, (3) distributed ice I→II phase transformation in small amounts (&lt;1 vol%) shows no causal relationship to subsequent failure, and (4) plastic faulting also occurs in ice II. We hypothesize that the elusive nucleating “trigger” parallels that of metals and ceramics undergoing severe plastic deformation, wherein transient local structural rearrangement occurs, in turn causing material strength to drop to a level sufficiently low, in a volume sufficiently large, that adiabatic instability is nucleated. Our results do not require and often are inconsistent with phase transformation. Plastic faulting may therefore be available to all solids undergoing severe deformation, and its appearance in so few is simply the result of insufficiently extreme conditions.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB018749","usgsCitation":"Golding, N., Durham, W.B., Prior, D.J., and Stern, L.A., 2020, Plastic faulting in ice: Journal of Geophysical Research- Solid Earth, v. 125, no. 5, e2019JB018749, 22 p., https://doi.org/10.1029/2019JB018749.","productDescription":"e2019JB018749, 22 p.","ipdsId":"IP-107189","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":457803,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jb018749","text":"External Repository"},{"id":377644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Golding, Narayama","contributorId":238827,"corporation":false,"usgs":false,"family":"Golding","given":"Narayama","email":"","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":796642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Durham, William B","contributorId":238828,"corporation":false,"usgs":false,"family":"Durham","given":"William","email":"","middleInitial":"B","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":796643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prior, David J","contributorId":238829,"corporation":false,"usgs":false,"family":"Prior","given":"David","email":"","middleInitial":"J","affiliations":[{"id":13378,"text":"University of Otago, New Zealand","active":true,"usgs":false}],"preferred":false,"id":796644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stern, Laura A. 0000-0003-3440-5674","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":212238,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":796645,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208976,"text":"70208976 - 2020 - Hydrologic connectivity determines dissolved organic matter biogeochemistry in northern high-latitude lakes","interactions":[],"lastModifiedDate":"2020-08-27T15:06:56.802426","indexId":"70208976","displayToPublicDate":"2020-02-06T18:31:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic connectivity determines dissolved organic matter biogeochemistry in northern high-latitude lakes","docAbstract":"<p><span>Northern high‐latitude lakes are undergoing climate‐induced changes including shifts in their hydrologic connectivity with terrestrial ecosystems. How this will impact dissolved organic matter (DOM) biogeochemistry remains uncertain. We examined the drivers of DOM composition for lakes in the Yukon Flats Basin in Alaska, an arid region of low relief that is characteristic of over one‐quarter of circumpolar lake area. Utilizing the vascular plant biomarker lignin, chromophoric dissolved organic matter (CDOM), and ultrahigh‐resolution mass spectrometry, we interpreted DOM compositional changes using lake‐water stable isotope (δ</span><sup>18</sup><span>O‐H</span><sub>2</sub><span>O) composition as a proxy for lake hydrologic connectivity with the landscape. We observed a relative decrease in CDOM in more hydrologically isolated lakes (enriched δ</span><sup>18</sup><span>O‐H</span><sub>2</sub><span>O) without a corresponding decrease in dissolved organic carbon (DOC) concentration. Although DOC and CDOM were weakly correlated, a significant positive relationship between lignin and CDOM (</span><i>r</i><sup>2</sup><span>&nbsp;= 0.67) demonstrates that optical parameters are useful for estimating lignin concentration and thus vascular plant contribution to lake DOM. Indicators of allochthonous DOM, including lignin carbon normalized yields, CDOM aromaticity proxies, and relative abundances of polyphenolic and condensed aromatic compound classes, were negatively correlated with δ</span><sup>18</sup><span>O‐H</span><sub>2</sub><span>O (</span><i>r</i><sup>2</sup><span> &gt; 0.45), suggesting there is little allochthonous DOM supplied to many of these hydrologically isolated lakes. We conclude that decreased lake hydrologic connectivity, driven by ongoing climate change (i.e., decreased precipitation, warming temperatures), will reduce allochthonous DOM contributions and shift lakes toward lower CDOM systems with ecosystem‐scale ramifications for heat transfer, photochemical reactions, productivity, and ultimately their biogeochemical function.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/lno.11417","usgsCitation":"Johnston, S.E., Striegl, R.G., Bogard, M.J., Dornblaser, M.M., Butman, D.E., Kellerman, A.M., Wickland, K.P., Podgorski, D.C., and Spencer, R., 2020, Hydrologic connectivity determines dissolved organic matter biogeochemistry in northern high-latitude lakes: Limnology and Oceanography, v. 65, no. 8, p. 1764-1780, https://doi.org/10.1002/lno.11417.","productDescription":"17 p.","startPage":"1764","endPage":"1780","ipdsId":"IP-114991","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":373035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.40136718749997,\n              66.53076810915225\n            ],\n            [\n              -142.49267578125,\n              66.53076810915225\n            ],\n            [\n              -142.49267578125,\n              69.4960701797534\n            ],\n            [\n              -156.40136718749997,\n              69.4960701797534\n            ],\n            [\n              -156.40136718749997,\n              66.53076810915225\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"65","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnston, Sarah Ellen","contributorId":213256,"corporation":false,"usgs":false,"family":"Johnston","given":"Sarah","email":"","middleInitial":"Ellen","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":784249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - 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,{"id":70208326,"text":"fs20203005 - 2020 - \"Modified Unified Method\" of carp capture","interactions":[],"lastModifiedDate":"2020-02-07T06:14:37","indexId":"fs20203005","displayToPublicDate":"2020-02-06T15:49:37","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3005","displayTitle":"\"Modified Unified Method\" of Carp Capture","title":"\"Modified Unified Method\" of carp capture","docAbstract":"<p>Populations of <i>Hypophthalmichthys molitrix </i>(silver carp) and <i>Hypophthalmichthys nobilis </i>(bighead carp), (together referred to herein as “bigheaded carp”) have increased exponentially in the greater Mississippi River Basin. Detrimental effects on native fish and economically important fisheries have occurred where these invasive, filter-feeding fish are abundant. The Unified Method, a harvest technique developed in China for bigheaded carp in flood plain lakes, uses herding techniques and a variety of nets to drive bigheaded carp and concentrate them into an area where they can be easily harvested. The U.S. Geological Survey is adapting the Chinese Unified Method concepts to be consistent with North American financial, societal, and environmental conditions. We have modified these techniques and incorporated modern technology to reduce the time and expense of Unified Methods and to allow them to be used in public waters. Thus, the operations in North America are often described as the “Modified Unified Method.” The U.S.&nbsp;Geological Survey is studying and refining the Modified Unified Method to provide stakeholders with efficient, validated, and environmentally friendly methods for carp removal; however, this method is still new to the United States and additional research is needed to further increase the efficiency of Modified Unified Method operations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203005","usgsCitation":"Chapman, D.C., 2020, \"Modified Unified Method\" of carp capture: U.S. Geological Survey Fact Sheet 2020–3005, 2 p., https://doi.org/10.3133/fs20203005.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-115946","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":372124,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3005/coverthb.jpg"},{"id":372125,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3005/fs20203005.pdf","text":"Report","size":"416 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020–5003"}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/cerc\" href=\"https://www.usgs.gov/centers/cerc\">Columbia Environmental Research Center</a> <br>U.S. Geological Survey<br>4200 New Haven Road <br>Columbia, MO 65201</p>","tableOfContents":"<ul><li>Background</li><li>Adaptation for North America</li><li>Location and Timing</li><li>Herding Techniques</li><li>Adaptations</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-02-06","noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781425,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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