{"pageNumber":"154","pageRowStart":"3825","pageSize":"25","recordCount":68788,"records":[{"id":70250621,"text":"70250621 - 2022 - Water availability drives instream conditions and life-history of an imperiled desert fish: A case study to inform water management","interactions":[],"lastModifiedDate":"2023-12-20T13:08:51.15559","indexId":"70250621","displayToPublicDate":"2022-04-13T07:06:08","publicationYear":"2022","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":"Water availability drives instream conditions and life-history of an imperiled desert fish: A case study to inform water management","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0050\"><span>In arid ecosystems, available water is a critical, yet limited resource for human consumption, agricultural use, and ecosystem processes—highlighting the importance of developing management strategies to meet the needs of multiple users. Here, we evaluated how water availability influences stream&nbsp;thermal regimes&nbsp;and life-history expressions of Lahontan cutthroat trout (</span><i>Oncorhynchus clarkii henshawi</i>) in the arid Truckee River basin in the western United States. We integrated air temperature and stream discharge data to quantify how water availability drives stream temperature during annual spawning and rearing of Lahontan cutthroat trout. We then determined how in situ stream discharge and temperature affected adult spawning migrations, juvenile growth opportunities, and duration of suitable thermal conditions. Air temperatures had significant, large effects (+) on stream temperature across months; the effects of discharge varied across months, with significant effects (−) during May through August, suggesting increased discharge can help mitigate temperatures during seasonally warm months. Two models explained adult Lahontan cutthroat trout migration, and both models indicated that adult Lahontan cutthroat trout avoid migration when temperatures are warmer (~ &gt; 12 °C) and discharge is higher (~ &gt; 50 m<sup>3</sup>*s<sup>−1</sup>). Juvenile size was best explained by a quadratic relationship with cumulative degree days (CDD; days&gt;4 °C) as size increased with increasing CDDs but decreased at higher CDDs. We also found an interaction between CDDs and discharge explaining juvenile size: when CDDs were low, higher discharge was associated with larger size, but when CDDs were high, higher discharge was associated with smaller size. Stream temperatures also determined the duration of juvenile rearing, as all juvenile emigration ceased at temperatures &gt;24.4 °C. Together, our results illustrated how stream discharge and temperature shape the life-history of Lahontan cutthroat trout at multiple stages and can inform management actions to offset warming temperatures and facilitate life-history diversity and population resilience.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.154614","usgsCitation":"Al-Chokhachy, R.K., Peka, R., Horgen, E., Kaus, D.J., Loux, T., and Heki, L., 2022, Water availability drives instream conditions and life-history of an imperiled desert fish: A case study to inform water management: Science of the Total Environment, v. 832, 154614, 12 p., https://doi.org/10.1016/j.scitotenv.2022.154614.","productDescription":"154614, 12 p.","ipdsId":"IP-135290","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":448126,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2022.154614","text":"Publisher Index Page"},{"id":423792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.92420459172735,\n              40.07716389436848\n            ],\n            [\n              -120.60511279485225,\n              40.07716389436848\n            ],\n            [\n              -120.60511279485225,\n              39.01826220060133\n            ],\n            [\n              -118.92420459172735,\n              39.01826220060133\n            ],\n            [\n              -118.92420459172735,\n              40.07716389436848\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"832","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":890592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peka, Roger","contributorId":222453,"corporation":false,"usgs":false,"family":"Peka","given":"Roger","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":890593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horgen, Erik","contributorId":280086,"corporation":false,"usgs":false,"family":"Horgen","given":"Erik","email":"","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":890594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaus, Daniel J.","contributorId":332599,"corporation":false,"usgs":false,"family":"Kaus","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":890595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loux, Tim","contributorId":222452,"corporation":false,"usgs":false,"family":"Loux","given":"Tim","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":890596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heki, Lisa","contributorId":222451,"corporation":false,"usgs":false,"family":"Heki","given":"Lisa","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":890597,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230500,"text":"70230500 - 2022 - Ecological consequences of neonicotinoid mixtures in streams","interactions":[],"lastModifiedDate":"2022-04-14T11:46:11.626748","indexId":"70230500","displayToPublicDate":"2022-04-13T06:44:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Ecological consequences of neonicotinoid mixtures in streams","docAbstract":"<div id=\"abstracts\"><div class=\"core-container\"><div>Neonicotinoid mixtures are common in streams worldwide, but corresponding ecological responses are poorly understood. We combined experimental and observational studies to narrow this knowledge gap. The mesocosm experiment determined that concentrations of the neonicotinoids imidacloprid and clothianidin (range of exposures, 0 to 11.9 μg/liter) above the hazard concentration for 5% of species (0.017 and 0.010 μg/liter, respectively) caused a loss in taxa abundance and richness, disrupted adult emergence, and altered trophodynamics, while mixtures of the two neonicotinoids caused dose-dependent synergistic effects. In 85 Coastal California streams, neonicotinoids were commonly detected [59% of samples (<i>n</i><span>&nbsp;</span>= 340), 72% of streams], frequently occurred as mixtures (56% of streams), and potential toxicity was dominated by imidacloprid (maximum = 1.92 μg/liter) and clothianidin (maximum = 2.51 μg/liter). Ecological responses in the field were consistent with the synergistic effects observed in the mesocosm experiment, indicating that neonicotinoid mixtures pose greater than expected risks to stream health.</div></div></div>","language":"English","publisher":"Science","doi":"10.1126/sciadv.abj8182","usgsCitation":"Schmidt, T., Miller, J., Mahler, B., Van Metre, P.C., Nowell, L.H., Sandstrom, M.W., Carlisle, D.M., Moran, P.W., and Bradley, P., 2022, Ecological consequences of neonicotinoid mixtures in streams: Science Advances, v. 8, no. 15, 12 p., https://doi.org/10.1126/sciadv.abj8182.","productDescription":"12 p.","ipdsId":"IP-120308","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":448129,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1126/sciadv.abj8182","text":"External Repository"},{"id":435878,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D958A0","text":"USGS data release","linkHelpText":"Data set for a mesocosm to field assessment of the ecological risks associated with neonicotinoids in US streams"},{"id":398726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":840560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Janet L.","contributorId":239985,"corporation":false,"usgs":false,"family":"Miller","given":"Janet L.","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":840561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":840562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":840563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":840565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":840566,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840567,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":221226,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840568,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70228749,"text":"sir20215144 - 2022 - Surface-water-quality data to support implementation of revised freshwater aluminum water-quality criteria in Massachusetts, 2018–19","interactions":[],"lastModifiedDate":"2026-02-23T18:31:13.191429","indexId":"sir20215144","displayToPublicDate":"2022-04-12T13:00:00","publicationYear":"2022","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":"2021-5144","displayTitle":"Surface-Water-Quality Data to Support Implementation of Revised Freshwater Aluminum Water-Quality Criteria in Massachusetts, 2018–19","title":"Surface-water-quality data to support implementation of revised freshwater aluminum water-quality criteria in Massachusetts, 2018–19","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, performed a study to inform the development of the department’s guidelines for the collection and use of water-chemistry data to support calculation of site-dependent aluminum criteria values. The U.S. Geological Survey collected and analyzed discrete water-quality samples at four wastewater-treatment facilities and seven water-treatment facilities in eastern and central Massachusetts from April 2018 through May 2019.</p><p>For each of the 11 facilities considered, water-quality samples were collected from treatment-plant effluent and receiving-water bodies. Samples were collected for laboratory analysis of major ions (calcium and magnesium ions are used to calculate total hardness), dissolved organic carbon (DOC), total organic carbon (TOC), and total recoverable aluminum. Field parameters for pH, temperature, and specific conductance were measured in situ concurrently with sample collection.</p><p>Water-quality conditions differed among monitoring stations. The highest pH values were observed for stations on the Assabet River that receive effluent discharges from wastewater-treatment facilities (the Westborough, Marlborough, Hudson, and Maynard wastewater-treatment facilities). High DOC concentrations (greater than 10 mg/L) were measured in water bodies associated with large areas of riparian wetlands—Lily Pond (Cohasset) and Third Herring Brook (Hanover), and low DOC concentrations (less than 2.5 mg/L) were measured at three water bodies in central Massachusetts—Hocomonco Pond (Westborough), Wyman Pond (Fitchburg), and Monoosnoc Brook (Leominster). Wyman Pond (Fitchburg), Monoosnoc Brook (Leominster), and Lily Pond (Cohasset) also had low pH values and low total hardness concentrations.</p><p>The monthly discrete pH, DOC, and total hardness data for selected stations on receiving-water bodies were used in the U.S. Environmental Protection Agency Aluminum Criteria Calculator Version 2.0 to estimate site-dependent total recoverable aluminum concentrations that—if not exceeded—would be expected to protect fish, invertebrates, and other aquatic life from adverse effects associated with acute and chronic aluminum exposures. The U.S. Environmental Protection Agency Calculator output provides values for the acute criterion, defined as the criterion maximum concentration (CMC), an estimate of the highest aluminum concentration in surface water to which an aquatic community can be exposed briefly without resulting in an unacceptable effect. This output also provides values for the chronic criterion, defined as the criterion continuous concentration (CCC), an estimate of the highest concentration of aluminum in surface water to which an aquatic community can be exposed indefinitely without resulting in an unacceptable effect. To determine aluminum criteria values typically evaluated for use as protective water-quality criteria, the monthly instantaneous CMC and CCC values were used to calculate the minimum, 5th percentile, and 10th percentile CMC and CCC values for selected monitoring stations.</p><p>The monthly instantaneous aluminum CMC and CCC values generated using the EPA Calculator varied among stations. Aluminum CMC and CCC values were highest for four ambient (upstream) stations on the Assabet River associated with wastewater-treatment facilities (Westborough, Marlboro, Hudson, and Maynard). Aluminum CMC and CCC values were lower for stations associated with water-treatment facilities, and lowest for selected ambient stations on Lily Pond, Monoosnoc Brook, and Wyman Pond associated with water-treatment facilities in Cohasset, Leominster, and Fitchburg, respectively. For many stations, the highest CMC and CCC instantaneous aluminum criteria values generated using the U.S. Environmental Protection Agency Calculator were for months during the growing season for algae and aquatic macrophytes (April or May through September or October) and the lowest values were for months during the nongrowing season (October or November through March or April), indicating the importance of collecting water-quality data during the nongrowing season.</p><p>Aluminum CMC and CCC values generated by the U.S. Environmental Protection Agency Calculator are sensitive to variations in the input parameters (pH, DOC, and total hardness). Aluminum solubility is particularly affected by pH. To characterize diel and seasonal variations in pH, multiparameter water-quality monitors recording continuous (15-minute interval) water temperature and pH were installed in the receiving-water body for one station near each facility upstream from the effluent discharge (in rivers) or at a station outside the immediate effect of effluent discharge (in ponds). Continuous water temperature and pH data were collected from April or May 2018 through November or December 2018. Continuous pH data indicated that the pond stations and Assabet River stations had large diel variations in pH during the growing season. Continuous pH data were used together with discrete DOC and total hardness data to evaluate the potential effect of diel variations in pH on calculated site-dependent aluminum criteria values. For the 11 stations, diel variations in pH were determined to correspond to differences in the 10th percentile of CMC values by a median of 160 μg/L, ranging from 0 to 610 μg/L, and differences in the 10th percentile of CCC values by a median of 40 μg/L, ranging from 15 to 210 μg/L. The low monthly instantaneous CMC and CCC values that have the greatest effect on the minimum, 5th percentile, and 10th percentile aluminum values tend to result during the nongrowing season (October or November through March or April) when the range of diel variations in pH is small, thus minimizing the effect of diel variations in pH on the lowest CMC and CCC values.</p><p>Historical water-quality data on organic carbon in Massachusetts streams were investigated using data retrieved from the USGS National Water Information System database. An assessment of the availability of historical pH, DOC, and hardness data indicated that more data were available for TOC than for DOC. A linear regression equation was developed for the relation between DOC and TOC concentrations to inform the potential use of available data to evaluate water-quality conditions at additional sites across Massachusetts where only pH, hardness, and TOC data are available. DOC and TOC concentrations were well correlated in the 223 samples in which both constituents were analyzed, and the equation had a coefficient of determination (<i>R</i><sup>2</sup>) equal to 0.93.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215144","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Armstrong, D.S., Savoie, J.G., DeSimone, L.A., Laabs, K.L., and Carey, R.O., 2022, Surface-water-quality data to support implementation of revised freshwater aluminum water-quality criteria in Massachusetts, 2018–19 (ver. 1.1, February 2023): U.S. Geological Survey Scientific Investigations Report 2021–5144, 85 p., https://doi.org/10.3133/sir20215144.","productDescription":"Report: x, 85 p.; 2 Data Releases","numberOfPages":"85","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-114770","costCenters":[{"id":466,"text":"New England Water Science 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        42.3037216984154\n            ],\n            [\n              -71.92474365234374,\n              42.30169032824452\n            ],\n            [\n              -71.82312011718749,\n              42.216313604344776\n            ],\n            [\n              -71.65008544921874,\n              42.167475010395336\n            ],\n            [\n              -71.41662597656249,\n              42.332153998913704\n            ],\n            [\n              -71.42761230468749,\n              42.45994035221653\n            ],\n            [\n              -71.42486572265622,\n              42.581399679665076\n            ],\n            [\n              -71.4111328125,\n              42.64608143458068\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: April 12, 2022; Version 1.1: February 27, 2023","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Design</li><li>Data-Collection and Data-Processing Methods</li><li>Water-Quality Results from Monthly Discrete Water-Quality Monitoring</li><li>Water-Quality Results for 38 Stations near 11 Water-Treatment Facilities in Eastern and Central Massachusetts</li><li>Calculation of Site Dependent Aluminum Criteria Values</li><li>Site-Dependent Aluminum Criteria Values for Receiving-Water Bodies near 11 Water-Treatment Facilities in Eastern and Central Massachusetts</li><li>Effect of Variable pH on Aluminum Values from the U.S. Environmental Protection Agency Aluminum Criteria Calculator</li><li>Organic Carbon in Massachusetts Streams</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Site Descriptions and Sample-Collection Methods for Stations near 11 Water-Treatment Facilities in Eastern and Central Massachusetts</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-04-12","revisedDate":"2023-02-27","noUsgsAuthors":false,"publicationDate":"2022-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Armstrong, David S. 0000-0003-1695-1233 darmstro@usgs.gov","orcid":"https://orcid.org/0000-0003-1695-1233","contributorId":1390,"corporation":false,"usgs":true,"family":"Armstrong","given":"David","email":"darmstro@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":835297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savoie, Jennifer G. 0000-0002-3906-6782 jsavoie@usgs.gov","orcid":"https://orcid.org/0000-0002-3906-6782","contributorId":194101,"corporation":false,"usgs":true,"family":"Savoie","given":"Jennifer","email":"jsavoie@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":835298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":195635,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie","email":"ldesimon@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":835299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laabs, Kaitlin L. 0000-0002-7798-3485 klaabs@usgs.gov","orcid":"https://orcid.org/0000-0002-7798-3485","contributorId":222438,"corporation":false,"usgs":true,"family":"Laabs","given":"Kaitlin","email":"klaabs@usgs.gov","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":835300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carey, Richard O. 0000-0003-2671-2770","orcid":"https://orcid.org/0000-0003-2671-2770","contributorId":279659,"corporation":false,"usgs":false,"family":"Carey","given":"Richard","email":"","middleInitial":"O.","affiliations":[{"id":18109,"text":"Massachusetts Department of Environmental Protection, 37 Shattuck Street, Lawrence, Massachusetts 01843, U.S.A.","active":true,"usgs":false}],"preferred":true,"id":835301,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230442,"text":"70230442 - 2022 - Lack of evidence for indirect effects from stonefly predators on primary production under future climate warming scenarios","interactions":[],"lastModifiedDate":"2022-10-31T14:23:19.201603","indexId":"70230442","displayToPublicDate":"2022-04-12T06:47:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1474,"text":"Écoscience","active":true,"publicationSubtype":{"id":10}},"title":"Lack of evidence for indirect effects from stonefly predators on primary production under future climate warming scenarios","docAbstract":"<div class=\"abstractSection abstractInFull\"><p>Consumptive and non-consumptive interactions of predators and prey can have strong direct and indirect effects on primary producers, such as stream algae. Increasing water temperatures may alter these interactions and thus influence productivity in streams. For each of 3 temperature treatments (‘ambient’, +2°C and +4°C), we measured the amount of algal biomass removed by grazing mayflies from 91 mesocosms after a 24-hour test period under 3 grazing treatments: lethal predators, non-lethal predators, and no predators. At all temperatures, grazers reduced algal biomass (p&nbsp;&lt;&nbsp;0.01), and the presence of lethal predators effectively dampened mayfly consumption of algae (p&nbsp;&lt;&nbsp;0.01). However, differences in algal biomass between lethal and non-lethal predator treatments were not significant, indicating that predators had no indirect behaviorally mediated effects on grazer consumption. Grazer removal of algal biomass marginally increased with increasing temperature (p&nbsp;=&nbsp;0.051). We analyzed video data for changes in grazer foraging and drift behavior. Mayflies increased drift in the presence of lethal predators (p&nbsp;&lt;&nbsp;0.01) but not non-lethal predators, and no behavioral changes were seen with temperature increases. Mesocosms can help elucidate possible future shifts in trophic interactions due to climate warming. Yet, we found no evidence of indirect stonefly predator effects on grazing mayflies under these warming scenarios.</p></div>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/11956860.2022.2060658","usgsCitation":"Morton, S.G., Schmidt, T., and Poff, N.L., 2022, Lack of evidence for indirect effects from stonefly predators on primary production under future climate warming scenarios: Écoscience, v. 29, no. 4, p. 283-291, https://doi.org/10.1080/11956860.2022.2060658.","productDescription":"9 p.","startPage":"283","endPage":"291","ipdsId":"IP-106266","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":398627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Morton, Scott G.","contributorId":290199,"corporation":false,"usgs":false,"family":"Morton","given":"Scott","email":"","middleInitial":"G.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":840440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":840441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poff, N. LeRoy","contributorId":261271,"corporation":false,"usgs":false,"family":"Poff","given":"N.","email":"","middleInitial":"LeRoy","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":840442,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230286,"text":"sim3486 - 2022 - Bathymetric contour maps, surface area and capacity tables, and bathymetric change maps for selected water-supply lakes in northwestern Missouri, 2019 and 2020","interactions":[],"lastModifiedDate":"2026-03-31T21:37:15.979552","indexId":"sim3486","displayToPublicDate":"2022-04-12T06:38:49","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3486","displayTitle":"Bathymetric Contour Maps, Surface Area and Capacity Tables, and Bathymetric Change Maps for Selected Water-Supply Lakes in Northwestern Missouri, 2019 and 2020","title":"Bathymetric contour maps, surface area and capacity tables, and bathymetric change maps for selected water-supply lakes in northwestern Missouri, 2019 and 2020","docAbstract":"<p>Bathymetric data were collected at 12 water-supply lakes in northwestern Missouri by the U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources and in collaboration with various local agencies, as part of a multiyear effort to establish or update the surface area and capacity tables for the surveyed lakes. Ten of the lakes were surveyed from July to September 2019, one of the original 10 was resurveyed in March 2020, and two lakes of high interest near Maryville were surveyed in June 2020. Six of the lakes had been surveyed by the U.S. Geological Survey before, and the recent surveys were compared to the earlier surveys to document the changes in the bathymetric surface and capacity of the lake and to produce a bathymetric change map.</p><p>Bathymetric data were collected using a high-resolution multibeam mapping system mounted on a boat. Supplemental depth data were collected in shallow areas with an acoustic Doppler current profiler on a remote-controlled boat. At Hamilton Reservoir, a Global Navigation Satellite System survey receiver was used to collect additional bathymetric data at several points across four transects and around the perimeter of a substantial shallow area filled with aquatic vegetation upstream from a low-clearance bridge on the northern arm.</p><p>Data points from the various sources were exported at a gridded data resolution appropriate to each lake. Data outside the multibeam echosounder survey extent and greater than the surveyed water-surface elevation generally were obtained from data collected using aerial light detection and ranging point cloud data, 1/9 arc-second National Elevation Dataset data based on aerial light detection and ranging data, or both. A linear enforcement technique was used to add points to the dataset in areas of sparse data (the upper ends of coves where the water was shallow or aquatic vegetation precluded data acquisition) based on surrounding multibeam and upland data values. The various point datasets were used to produce a three-dimensional triangulated irregular network surface of the lake-bottom elevations for each lake. A surface area and capacity table was produced from the three-dimensional surface showing surface area and capacity at specified lake water-surface elevations. Various quality-assurance tests were conducted to ensure quality data were collected with the multibeam, including beam angle checks and patch tests. Additional quality-assurance tests were conducted on the gridded bathymetric data from the survey, the bathymetric surface created from the gridded data, and the contours created from the bathymetric survey.</p><p>If data from a previous bathymetric survey existed at a given lake, a bathymetric change map was generated from the elevation difference between the previous survey and the 2019 bathymetric survey data points. After applying any vertical elevation changes to the previous survey data to ensure a match to the 2019 survey datum, coincident points between the surveys were found, and a bathymetric change map was generated using the coincident point data.</p><p>A decrease in capacity was observed at all the lakes for which a previous survey existed. The decrease in capacity at the primary spillway or intake elevation ranged from 0.8 percent at Lake Viking to 21.4 percent at Middle Fork Grand River Reservoir. The mean bathymetric change ranged from 0.33 foot at Willow Brook Lake to 1.18 feet at Middle Fork Grand River Reservoir. The computed sedimentation rate generally ranged from 0.54 to 4.19 acre-feet per year at Maysville Lake and Middle Fork Grand River Reservoir, respectively; however, Lake Viking had the largest sedimentation rate of 14.9 acre-feet per year, despite having the smallest decrease in capacity at the spillway elevation of only 0.8 percent and a mean bathymetric change of only 0.4 foot. Evidence of dredging was observed in the bathymetric surface for Lake Viking. Some changes observed in some bathymetric change maps are hypothesized to result from the difference in data collection equipment and techniques between the previous and present bathymetric surveys. Certain erosional features around the perimeter of certain lakes may be the result of wave action during low-water years.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3486","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Huizinga, R.J., Oyler, L.D., and Rivers, B.C., 2022, Bathymetric contour maps, surface area and capacity tables, and bathymetric change maps for selected water-supply lakes in northwestern Missouri, 2019 and 2020: U.S. Geological Survey Scientific Investigations Map 3486, 12 sheets, includes 21-p. pamphlet, https://doi.org/10.3133/sim3486.","productDescription":"Pamphlet: vi, 21 p.; 13 Sheets: 44.00 x 34.00 inches or smaller; Data Release","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-127919","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501902,"rank":31,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112865.htm","text":"Maryville Reservoir"},{"id":501901,"rank":30,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112864.htm","text":"Mozingo Lake","linkFileType":{"id":5,"text":"html"}},{"id":501900,"rank":29,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112863.htm","text":"Maysville Reservoir","linkFileType":{"id":5,"text":"html"}},{"id":501899,"rank":28,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112862.htm","text":"King City Lake","linkFileType":{"id":5,"text":"html"}},{"id":501898,"rank":27,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112861.htm","text":"Harrison County Lake","linkFileType":{"id":5,"text":"html"}},{"id":501897,"rank":26,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112860.htm","text":"Lake Viking","linkFileType":{"id":5,"text":"html"}},{"id":501894,"rank":23,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112854.htm","text":"Bethany near City Lake","linkFileType":{"id":5,"text":"html"}},{"id":501893,"rank":22,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112853.htm","text":"Willow Brook Lake","linkFileType":{"id":5,"text":"html"}},{"id":501892,"rank":21,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112852.htm","text":"King City South Lake","linkFileType":{"id":5,"text":"html"}},{"id":398203,"rank":16,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet11.1.pdf","text":"Sheet 11.1","size":"1.81 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, and surface area and capacity table for Mozingo Lake near Maryville, Missouri, 2020"},{"id":398201,"rank":15,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet10.pdf","text":"Sheet 10","size":"1.87 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, surface area and capacity table, and bathymetric change map for Maysville Reservoir near Maysville, Missouri, 2019"},{"id":398196,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet06.pdf","text":"Sheet 6","size":"1.77 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, surface area and capacity table, and bathymetric change map for Middle Fork Grand River Reservoir near Stanberry, Missouri, 2019"},{"id":398195,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet05.pdf","text":"Sheet 5","size":"1.05 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, and surface area and capacity table for Old Bethany City Lake near Bethany, Missouri, 2019"},{"id":398194,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet04.pdf","text":"Sheet 4","size":"1.71 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, and surface area and capacity table for Bethany New City Lake near Bethany, Missouri, 2020"},{"id":398193,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet03.pdf","text":"Sheet 3","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, surface area and capacity table, and bathymetric change map for Willow Brook Lake near Maysville, Missouri, 2019"},{"id":398200,"rank":14,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet09.pdf","text":"Sheet 9","size":"1.23 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, and surface area and capacity table for King City Reservoir system near King City, Missouri, 2019"},{"id":398199,"rank":13,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet08.pdf","text":"Sheet 8","size":"1.86 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, and surface area and capacity table for Harrison County Lake near Bethany, Missouri, 2019"},{"id":398198,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet07.pdf","text":"Sheet 7","size":"2.36 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, surface area and capacity table, and bathymetric change map for Lake Viking near Gallatin, Missouri, 2019"},{"id":501896,"rank":25,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112856.htm","text":"Middle Fork Grand River Reservoir","linkFileType":{"id":5,"text":"html"}},{"id":398192,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet02.pdf","text":"Sheet 2","size":"1.50 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, surface area and capacity table, and bathymetric change map for King City South Lake near King City, Missouri, 2019"},{"id":398214,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet01.pdf","text":"Sheet 1","size":"1.38 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, surface area and capacity table, and bathymetric change map for Hamilton Reservoir near Hamilton, Missouri, 2019"},{"id":501895,"rank":24,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112855.htm","text":"Old Bethany City lake","linkFileType":{"id":5,"text":"html"}},{"id":501891,"rank":20,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112851.htm","text":"Hamilton Reservoir","linkFileType":{"id":5,"text":"html"}},{"id":398831,"rank":19,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sim3486/full","text":"Pamphlet","linkFileType":{"id":5,"text":"html"}},{"id":398206,"rank":18,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet12.pdf","text":"Sheet 12","size":"1.28 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, and surface area and capacity table for Maryville Reservoir near Maryville, Missouri, 2020"},{"id":398204,"rank":17,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3486/sim3486_sheet11.2.pdf","text":"Sheet 11.2","size":"2.12 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Bathymetric contour map, and surface area and capacity table for Mozingo Lake near Maryville, Missouri, 2020"},{"id":398189,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3486/images"},{"id":398188,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3486/sim3486.XML"},{"id":398186,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3486/coverthb.jpg"},{"id":398190,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92M53NJ","text":"USGS data release","linkHelpText":"Bathymetric and supporting data for various water supply lakes in northwestern Missouri, 2019 and 2020 (ver. 1.1, September 2021)"},{"id":398187,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3486/sim3486.pdf","text":"Pamphlet","size":"1.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3486"}],"country":"United States","state":"Missouri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.03173828125,\n              39.67337039176558\n            ],\n            [\n              -93.84521484375,\n              39.67337039176558\n            ],\n            [\n              -93.84521484375,\n              40.59727063442024\n            ],\n            [\n              -95.03173828125,\n              40.59727063442024\n            ],\n            [\n              -95.03173828125,\n              39.67337039176558\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a> <br>U.S. Geological Survey<br>1400 Independence Rd<br>Rolla, MO 65401</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Bathymetric Surface, Contour Map, and Bathymetric Change Quality Assurance</li><li>Bathymetry, Capacity, and Bathymetric Change</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-04-12","noUsgsAuthors":false,"publicationDate":"2022-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oyler, Lindi D. 0000-0002-3544-0845","orcid":"https://orcid.org/0000-0002-3544-0845","contributorId":289835,"corporation":false,"usgs":false,"family":"Oyler","given":"Lindi","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":839872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rivers, Benjamin C. 0000-0003-0098-0486 brivers@usgs.gov","orcid":"https://orcid.org/0000-0003-0098-0486","contributorId":289836,"corporation":false,"usgs":true,"family":"Rivers","given":"Benjamin","email":"brivers@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230152,"text":"sir20215103 - 2022 - Groundwater resources of the Harney Basin, southeastern Oregon","interactions":[],"lastModifiedDate":"2026-04-02T19:43:36.180655","indexId":"sir20215103","displayToPublicDate":"2022-04-11T15:18:39","publicationYear":"2022","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":"2021-5103","displayTitle":"Groundwater Resources of the Harney Basin, Southeastern Oregon","title":"Groundwater resources of the Harney Basin, southeastern Oregon","docAbstract":"<p class=\"p1\">Groundwater development has increased substantially in southeastern Oregon’s Harney Basin since 2010, mainly for the purpose of large-scale irrigation. Concurrently, some areas of the basin experienced groundwater-level declines of more than 100 feet, and some shallow wells have gone dry. The Oregon Water Resources Department has limited new groundwater development in the basin until an improved understanding of the groundwater-flow system is available. This report describes the results of a hydrologic investigation undertaken to provide that understanding. The investigation encompasses the groundwater hydrology of the entire 5,240-square-mile Harney Basin.</p><p class=\"p1\">Most of the precipitation in the Harney Basin falls in the higher-elevation areas of the Blue Mountains and Steens Mountain. Although considerable groundwater recharge occurs in these upland areas, most (83 percent) re-emerges as streams and springs in the uplands. Groundwater recharge in the lowlands is provided through infiltration of surface water flowing onto the lowlands from rivers and streams leaving the uplands and as groundwater flow from the surrounding upland rocks. Water-balance calculations indicate that the rate of groundwater recharge to the Harney Basin lowlands (where most groundwater is withdrawn) averages 173,000 acre-feet per year (acre-ft/yr).</p><p class=\"p1\">Groundwater in the Harney Basin lowlands mainly discharges through evapotranspiration from groundwater-irrigated (supplied from wells) crops or from natural vegetation drawing groundwater from the shallow water table and capillary fringe. Groundwater discharge in the lowlands is estimated to be about 283,000 acre-ft/yr, which exceeds the estimated groundwater recharge to the lowlands by about 110,000 acre-ft/yr. This imbalance results in removal of groundwater from storage in the aquifer system and is evidenced by the large declines observed in groundwater levels in the areas of greatest groundwater pumpage.</p><p class=\"p2\">To a large degree, the location and depth of pumpage dictate the timing and distribution of the effects of groundwater use in the Harney Basin. Pumpage is commonly greatest in the areas where higher-permeability geologic units allow for higher well yields. However, many of these higher-permeability units are bounded by lower-permeability units that cannot supply groundwater at a sufficient rate to replenish the areas of greatest pumpage, resulting in groundwater-level declines. Three Harney Basin areas with a combined area exceeding 140 square miles have experienced groundwater-level declines exceeding 40 feet compared to pre-development conditions: near the Weaver Spring/Dog Mountain area, in the northeastern floodplains along Highway 20, and near Crane. Areas of more modest groundwater-level decline (about 10 feet) were identified in the Virginia Valley area and the Silver Creek floodplain north of Riley. Smaller localized areas of groundwater-level depression have also formed around individual wells or groups of wells throughout the Harney Basin lowlands.</p><p class=\"p2\">Most groundwater being pumped from the Harney Basin lowlands, including all three areas experiencing large groundwater-level declines, was recharged more than 12,000 years ago, near the end of the last glacial period when the climate in the basin was cooler and wetter than today. Geochemical evidence indicates that modern recharge generally circulates to a depth no greater than 100 feet below the floodplains of major rivers and streams in the lowlands. Away from the major river and stream corridors, pre-modern water commonly is found at the water table. Recharge to groundwater and recovery of groundwater levels in the most heavily pumped areas in the Harney Basin lowlands are restricted by the limited spatial extent and depth of modern recharge in the Harney Basin lowlands and the relatively fine-grained deposits underlying most of the lowland areas.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215103","collaboration":"Prepared in cooperation with the Oregon Water Resources Department","usgsCitation":"Gingerich, S.B., Johnson, H.M., Boschmann, D.E., Grondin, G.H., and Garcia, C.A., 2022, Groundwater resources of the Harney Basin, southeastern Oregon: U.S. Geological Survey Scientific Investigations Report 2021–5103, 118 p., https://doi.org/10.3133/sir20215103.","productDescription":"Report: xii, 118 p.; 3 Plates: 30.00 x 42.00 inches or smaller; 2 Data Releases","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-119872","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":502118,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112850.htm","linkFileType":{"id":5,"text":"html"}},{"id":397922,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5103/"},{"id":397921,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5103/images"},{"id":397920,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2021/5103/sir20215103_plate03.pdf","text":"Plate 3","size":"10.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5103 Plate 3"},{"id":398172,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J0FE5M","text":"USGS data release","description":"USGS Data Release.","linkHelpText":"Location information, discharge, and water-quality data for selected wells, springs, and streams in the Harney Basin, Oregon"},{"id":398171,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZJTZUV","text":"USGS data release","description":"USGS Data Release.","linkHelpText":"Contour data set of the potentiometric surfaces of shallow and deep groundwater-level altitudes in Harney Basin, Oregon, February–March 2018"},{"id":397917,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5103/sir20215103.pdf","text":"Report","size":"28.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5103"},{"id":397918,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2021/5103/sir20215103_plate01.pdf","text":"Plate 1","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5103 Plate 1"},{"id":397916,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5103/coverthb.jpg"},{"id":397919,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2021/5103/sir20215103_plate02.pdf","text":"Plate 2","size":"27.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5103 Plate 2"}],"country":"United States","state":"Oregon","otherGeospatial":"Harney Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.08056640625,\n              42.35854391749705\n            ],\n            [\n              -117.7734375,\n              42.35854391749705\n            ],\n            [\n              -117.7734375,\n              44.24519901522129\n            ],\n            [\n              -120.08056640625,\n              44.24519901522129\n            ],\n            [\n              -120.08056640625,\n              42.35854391749705\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Framework</li><li>Hydrologic Budget</li><li>Geochemical Evaluation of Recharge, Flowpaths, and Residence Time</li><li>Description of the Harney Basin Groundwater-Flow System</li><li>Needs for Subsequent Monitoring and Research</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Geochemical Analytes and Sampling Methods</li></ul>","publishedDate":"2022-04-11","noUsgsAuthors":false,"publicationDate":"2022-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boschmann, Darrick E. 0000-0001-8662-9261","orcid":"https://orcid.org/0000-0001-8662-9261","contributorId":289547,"corporation":false,"usgs":false,"family":"Boschmann","given":"Darrick","email":"","middleInitial":"E.","affiliations":[{"id":34888,"text":"Oregon Water Resources Department","active":true,"usgs":false}],"preferred":false,"id":839303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grondin, Gerald H. 0000-0002-8930-6967","orcid":"https://orcid.org/0000-0002-8930-6967","contributorId":289548,"corporation":false,"usgs":false,"family":"Grondin","given":"Gerald","email":"","middleInitial":"H.","affiliations":[{"id":34888,"text":"Oregon Water Resources Department","active":true,"usgs":false}],"preferred":false,"id":839304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839305,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230201,"text":"sir20215128 - 2022 - Hydrologic budget of the Harney Basin groundwater system, southeastern Oregon","interactions":[],"lastModifiedDate":"2026-04-02T20:05:12.056404","indexId":"sir20215128","displayToPublicDate":"2022-04-11T14:48:43","publicationYear":"2022","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":"2021-5128","displayTitle":"Hydrologic Budget of the Harney Basin Groundwater System, Southeastern Oregon","title":"Hydrologic budget of the Harney Basin groundwater system, southeastern Oregon","docAbstract":"<p class=\"p1\">Groundwater-level declines and limited quantitative knowledge of the groundwater-flow system in the Harney Basin prompted a cooperative study between the U.S. Geological Survey and the Oregon Water Resources Department to evaluate the groundwater-flow system and budget. This report provides a hydrologic budget of the Harney Basin groundwater system that includes separate groundwater budgets for upland and lowland areas to avoid double counting water that recharges in the uplands, discharges to streams and springs in the uplands, flows downstream to the lowlands, and recharges the lowland groundwater system. Lowlands generally represent the conterminous valleys within the center of the basin, including floodplains of the major streams and uplands represent all other areas in the basin.</p><p class=\"p1\">The upland groundwater budget is minimally affected by groundwater development and generally represents the budget of the natural system. In upland areas during 1982–2016, mean-annual recharge totaled 288,000 acre-feet (acre-ft) and mean-annual discharge totaled 239,000 acre-ft, resulting in a net recharge of 49,000 acre-ft. Upland groundwater recharge occurs as infiltration of precipitation and snowmelt and was estimated using the USGS Soil-Water-Balance model calibrated to estimates of runoff, evapotranspiration (ET), base flow, and snow-water equivalent. Groundwater discharge to streams is the predominant discharge mechanism in upland areas and was estimated as 225,000 acre-feet per year (acre-ft/yr) during 1982–2016 using hydrograph separation and summer low-flow estimates in streamgaged watersheds and a linear relation between estimated streamflow and base flow in ungaged watersheds. The remaining upland discharge occurs through springs (14,000 acre-ft/yr) that either emerge downgradient of locations where groundwater discharge to streams was estimated or are routed to irrigated areas. Spring discharge was estimated as a compilation of current and historical measurements. The net upland recharge, which is 17 percent of total upland recharge, ultimately recharges lowland areas as groundwater flow from uplands to lowlands.</p><p class=\"p2\">The lowland groundwater budget for the Harney Basin represents a combination of natural conditions and human activity as more than 99 percent of groundwater development has occurred either inside or within 2 miles of the lowland boundary. In lowland areas during 1982–2016, mean annual groundwater recharge totaled 173,000 acre-ft and groundwater discharge totaled 283,000 acre-ft, indicating discharge exceeded recharge by more than 60 percent.</p><p class=\"p2\">Excluding groundwater pumping, the lowland groundwater budget is more in balance with a mean annual recharge of 165,000 acre-ft and a mean annual discharge of 131,000 acre-ft during 1982–2016. The 23-percent difference between non-pumping recharge and discharge mostly represents the cumulative uncertainty in the estimates of the various groundwater budget components but also likely includes a small reduction in natural groundwater discharge captured by pumping. Lowland groundwater is predominantly recharged by infiltration of surface water (116,000 acre-ft/yr) through streams, floodwater, and irrigation, with a lesser amount as groundwater inflow from uplands and minimal recharge beneath Malheur and Harney Lakes. Recharge from streams and floodwater (natural and irrigation) was estimated using a balance of measured and estimated surface-water inflow to and outflow from lowland areas including streamflow, springflow, and ET where a portion of surface-water inflow to lowland areas is comprised of upland discharge to streams and springs. Groundwater ET (119,000 acre-ft/yr) is the predominant natural discharge mechanism in lowland areas and was estimated as the mean from two remote-sensing based approaches incorporating groundwater ET measurements from other similar basins and 23 years (1987–2015) of Landsat imagery. Discharge of lowland groundwater into Malheur and Harney Lakes is about 700 acre-ft/yr and is represented in groundwater ET estimates. The remaining natural groundwater discharge from lowland areas issues from Sodhouse Spring (8,900 acre-ft/yr) and as groundwater flow to the Malheur River Basin through Virginia Valley (3,100 acre-ft/yr). The relatively large amount of groundwater discharged to springs in Warm Springs Valley (25,000 acre-ft/yr) is accounted for in groundwater ET estimates. Natural groundwater discharge in lowland areas of the Harney Basin has remained relatively constant during the last 80 years based on comparisons with estimates north of Malheur Lake and west of Harney Lake published in the 1930s.</p><p class=\"p1\">Annual net amount of groundwater pumped (pumpage) from the Harney Basin during 2017–18 averaged 144,000 acre-ft. The net value is the difference between pumpage (about 152,000 acre-ft/yr) and reinfiltration of groundwater pumped for irrigation and non-irrigation purposes (about 8,000 acre-ft/yr). Net pumpage was estimated in concurrent studies that compiled groundwater-use data and coupled reported groundwater pumpage data from wells with remote-sensing-based ET estimates from groundwater-irrigated fields. Total pumpage for irrigation has increased from about 54,000 acre-ft/yr during 1991–92 to 145,000 acre-ft/yr during 2017–18. Presently, pumpage is greatest in the lowland region north of Malheur Lake (81,000 acre-ft/yr), with lesser amounts to the north and northwest of Harney Lake (41,000 acre-ft/yr) and to the south and east of Malheur Lake (22,000 acre-ft/yr).</p><p class=\"p1\">During this study, mean annual lowland groundwater discharge (including pumpage) exceeded mean annual recharge, indicating that the lowland hydrologic budget is out of balance. Net groundwater pumpage during 2017–18 is similar to groundwater discharge from all other sources in the lowlands and is four times the imbalance between non-pumping lowland recharge and discharge (34,000 acre-ft/yr). Declining groundwater levels at depth across many parts of the Harney Basin lowlands indicate that pumpage is depleting aquifer storage and is likely capturing a small amount of natural groundwater discharge to springs and ET in some lowland areas. If pumping continues, aquifer storage depletion will continue until the capture rate of natural discharge to springs and ET is equal to the pumping rate. If groundwater development occurs in upland areas and reduces either the streamflow or groundwater inflow to lowland areas, the deficit in the lowland water budget will increase.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215128","collaboration":"Prepared in cooperation with the Oregon Water Resources Department","usgsCitation":"Garcia, C.A., Corson-Dosch, N.T., Beamer, J.P., Gingerich, S.B., Grondin, G.H., Overstreet, B.T., Haynes, J.V., and Hoskinson, M.D., 2021, Hydrologic budget of the Harney Basin groundwater system, southeastern Oregon (ver. 1.1, November 2022): U.S. Geological Survey Scientific Investigations Report 2021–5128, 144 p., https://doi.org/10.3133/sir20215128.","productDescription":"Report: xiii, 144 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-119839","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":502128,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112849.htm","linkFileType":{"id":5,"text":"html"}},{"id":398083,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QABFML","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Supplemental data–Hydrologic budget of the Harney Basin groundwater system, Oregon"},{"id":398082,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94NH4D8","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Soil- Water-Balance (SWB) model archive used to simulate mean annual upland recharge from infiltration of precipitation and snowmelt in Harney Basin, Oregon, 1982–2016"},{"id":409214,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2021/5128/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2021-5128 Version History"},{"id":398080,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5128/coverthb2.jpg"},{"id":398081,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5128/sir20215128.pdf","text":"Report","size":"21.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5128"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.08056640625,\n              42.35854391749705\n            ],\n            [\n              -117.7734375,\n              42.35854391749705\n            ],\n            [\n              -117.7734375,\n              44.24519901522129\n            ],\n            [\n              -120.08056640625,\n              44.24519901522129\n            ],\n            [\n              -120.08056640625,\n              42.35854391749705\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: April 2022; Version 1.1: November 2022","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water target=\" data-mce-href=\"https://www.usgs.gov/centers/or-water target=\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Groundwater Discharge</li><li>Groundwater Recharge</li><li>Summary and Discussion of Groundwater Hydrologic Budget</li><li>Limitations</li><li>Summary</li><li>References Cited</li><li>Appendixes 1–7</li></ul>","publishedDate":"2022-04-11","revisedDate":"2022-11-07","noUsgsAuthors":false,"publicationDate":"2022-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corson-Dosch, Nicholas T. 0000-0002-6776-6241 ncorson-dosch@usgs.gov","orcid":"https://orcid.org/0000-0002-6776-6241","contributorId":289640,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Nicholas","email":"ncorson-dosch@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beamer, Jordan P.","contributorId":289641,"corporation":false,"usgs":false,"family":"Beamer","given":"Jordan","email":"","middleInitial":"P.","affiliations":[{"id":34888,"text":"Oregon Water Resources Department","active":true,"usgs":false}],"preferred":false,"id":839535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grondin, Gerald H. 0000-0002-8930-6967","orcid":"https://orcid.org/0000-0002-8930-6967","contributorId":289548,"corporation":false,"usgs":false,"family":"Grondin","given":"Gerald","email":"","middleInitial":"H.","affiliations":[{"id":34888,"text":"Oregon Water Resources Department","active":true,"usgs":false}],"preferred":false,"id":839537,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Overstreet, Brandon T. 0000-0001-7845-6671","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":63257,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":839538,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839539,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoskinson, Mellony D.","contributorId":289642,"corporation":false,"usgs":false,"family":"Hoskinson","given":"Mellony","email":"","middleInitial":"D.","affiliations":[{"id":34888,"text":"Oregon Water Resources Department","active":true,"usgs":false}],"preferred":false,"id":839540,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70230179,"text":"ofr20221008 - 2022 - Composite regional groundwater hydrographs for selected principal aquifers in New Mexico, 1980–2019","interactions":[],"lastModifiedDate":"2026-03-27T19:45:11.235573","indexId":"ofr20221008","displayToPublicDate":"2022-04-11T11:29:32","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1008","displayTitle":"Composite Regional Groundwater Hydrographs for Selected Principal Aquifers in New Mexico, 1980–2019","title":"Composite regional groundwater hydrographs for selected principal aquifers in New Mexico, 1980–2019","docAbstract":"<p>Groundwater is an important source of water for New Mexico. An estimated 48 percent of the total water used comes from groundwater sources, and groundwater levels generally are declining over large areas of New Mexico. Groundwater levels are affected by local and regional recharge or discharge processes. Groundwater hydrographs show the history of groundwater-level changes at a well. A single hydrograph is not necessarily representative of the larger regional area; however, individual hydrographs from several wells can be combined into a composite hydrograph to show average groundwater changes for a regional area. The U.S. Geological Survey, in cooperation with the New Mexico Office of the State Engineer, has been measuring groundwater levels in a network of wells since about 1925. Although groundwater levels in the statewide well network have been measured at various frequencies, most wells have been measured in 5-year cycles since about 1980. The composite hydrographs in this report were developed to show groundwater-level changes for selected principal aquifers in New Mexico. Composite hydrographs were developed using wells in the Colorado Plateaus aquifers, the High Plains aquifer, the Pecos River Basin alluvial aquifer, the Rio Grande aquifer system, and the Roswell Basin aquifer system. Statewide, groundwater levels generally have declined or remained steady over the time period in aquifers analyzed for this study. The largest water-level declines occurred in the Colorado Plateaus and High Plains aquifers and in the Rio Grande aquifer system (north-central New Mexico), where median water-level declines ranged from 17 to 40 feet and mean water-level declines ranged from 3.8 to 32 feet. Groundwater-level declines (or rises) were generally smaller in other areas of New Mexico.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221008","collaboration":"Prepared in cooperation with the New Mexico Office of the State Engineer","usgsCitation":"Myers, N.C., 2022, Composite regional groundwater hydrographs for selected principal aquifers in New Mexico, 1980–2019: U.S. Geological Survey Open-File Report 2022–1008, 51 p., https://doi.org/10.3133/ofr20221008.","productDescription":"Report: vii, 51 p.; Data Release; Dataset","numberOfPages":"64","onlineOnly":"Y","ipdsId":"IP-128607","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":501755,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112848.htm","linkFileType":{"id":5,"text":"html"}},{"id":397979,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":397978,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MWE68L","text":"USGS data release","linkHelpText":"Refined principal aquifer boundaries for New Mexico, United States"},{"id":397977,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1008/ofr20221008.pdf","text":"Report","size":"10.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1008"},{"id":397976,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1008/coverthb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-105.998003,32.002328],[-106.099756,32.002492],[-106.125534,32.002533],[-106.18184,32.00205],[-106.200699,32.001785],[-106.205915,32.001762],[-106.313307,32.001512],[-106.376861,32.001172],[-106.377165,32.001177],[-106.394298,32.001484],[-106.411075,32.001334],[-106.565142,32.000736],[-106.566056,32.000759],[-106.587972,32.000749],[-106.595333,32.000778],[-106.598639,32.000754],[-106.599096,32.000731],[-106.618486,32.000495],[-106.619448,31.994733],[-106.623568,31.990999],[-106.631182,31.989809],[-106.636492,31.985719],[-106.639529,31.980348],[-106.638186,31.97682],[-106.630114,31.971258],[-106.626466,31.97069],[-106.623216,31.97291],[-106.621873,31.972933],[-106.619569,31.971578],[-106.618745,31.966955],[-106.619371,31.964777],[-106.620454,31.963403],[-106.624299,31.961054],[-106.625535,31.957476],[-106.625123,31.954531],[-106.622819,31.952891],[-106.617708,31.956008],[-106.614702,31.956],[-106.616136,31.948439],[-106.623659,31.94551],[-106.622377,31.940863],[-106.622117,31.936621],[-106.622529,31.934863],[-106.625322,31.930053],[-106.629747,31.92657],[-106.628663,31.923614],[-106.623933,31.925335],[-106.611846,31.920003],[-106.614346,31.918003],[-106.623445,31.914034],[-106.625947,31.912227],[-106.633668,31.90979],[-106.64084,31.904598],[-106.645479,31.89867],[-106.645646,31.895649],[-106.645296,31.894859],[-106.6429,31.892933],[-106.638154,31.891663],[-106.633927,31.889184],[-106.630692,31.886411],[-106.629197,31.883717],[-106.630799,31.879697],[-106.634873,31.874478],[-106.63588,31.871514],[-106.635926,31.866235],[-106.627808,31.860593],[-106.625763,31.856276],[-106.621857,31.852854],[-106.614637,31.84649],[-106.605845,31.846305],[-106.605245,31.845905],[-106.602045,31.844405],[-106.601945,31.839605],[-106.605267,31.827912],[-106.602727,31.825024],[-106.593826,31.824901],[-106.589045,31.822706],[-106.588045,31.822106],[-106.582144,31.815506],[-106.581344,31.813906],[-106.577244,31.810406],[-106.570944,31.810206],[-106.566844,31.813306],[-106.563444,31.812606],[-106.562945,31.811104],[-106.558444,31.810406],[-106.547144,31.807305],[-106.545344,31.805007],[-106.544714,31.804287],[-106.542144,31.802107],[-106.542097,31.802146],[-106.535843,31.798607],[-106.535343,31.797507],[-106.535154,31.797089],[-106.534743,31.796107],[-106.533043,31.791907],[-106.533,31.791829],[-106.53248,31.791914],[-106.530515,31.792103],[-106.527943,31.790507],[-106.527738,31.789761],[-106.527623,31.789119],[-106.527997,31.786945],[-106.528543,31.784407],[-106.528543,31.783907],[-106.750547,31.783706],[-106.750547,31.783898],[-106.993544,31.783689],[-106.998235,31.783671],[-107.00056,31.783679],[-107.00056,31.783513],[-107.296824,31.783762],[-107.422246,31.783599],[-107.422495,31.783599],[-108.208394,31.783599],[-108.208087,31.613489],[-108.208521,31.499798],[-108.208572,31.499742],[-108.208573,31.333395],[-108.707657,31.333191],[-108.788711,31.332365],[-108.851105,31.332301],[-108.861028,31.332315],[-109.050044,31.332502],[-109.050173,31.480004],[-109.049843,31.499515],[-109.049813,31.499528],[-109.049112,31.636598],[-109.049195,31.796551],[-109.048763,31.810776],[-109.049106,31.843715],[-109.048769,31.861383],[-109.04859,31.870791],[-109.048599,32.013651],[-109.048731,32.028174],[-109.048296,32.084093],[-109.048286,32.089114],[-109.047612,32.426377],[-109.047653,32.681379],[-109.047653,32.686327],[-109.047645,32.689988],[-109.047638,32.693439],[-109.047117,32.777569],[-109.047117,32.77757],[-109.04748,33.06842],[-109.047453,33.069427],[-109.046905,33.091931],[-109.047013,33.092917],[-109.047117,33.137559],[-109.047116,33.137995],[-109.047237,33.208965],[-109.04747,33.250063],[-109.046827,33.365272],[-109.046909,33.36557],[-109.047045,33.36928],[-109.04687,33.372654],[-109.046564,33.37506],[-109.047298,33.409783],[-109.046662,33.625055],[-109.047145,33.74001],[-109.046941,33.778233],[-109.046426,33.875052],[-109.047006,34.00005],[-109.046182,34.522393],[-109.046182,34.522553],[-109.046156,34.579291],[-109.046086,34.771016],[-109.045363,34.785406],[-109.046104,34.799981],[-109.045624,34.814226],[-109.046072,34.828566],[-109.045851,34.959718],[-109.046024,35.175499],[-109.046084,35.250025],[-109.046796,35.363606],[-109.046481,35.546326],[-109.046509,35.54644],[-109.046296,35.614251],[-109.046295,35.616517],[-109.046024,35.8798],[-109.046055,35.888721],[-109.046054,35.92586],[-109.046011,35.925896],[-109.045973,36.002338],[-109.045729,36.117028],[-109.046183,36.181751],[-109.045431,36.500001],[-109.045433,36.874589],[-109.045407,36.874998],[-109.045272,36.968871],[-109.045244,36.969489],[-109.045223,36.999084],[-108.958868,36.998913],[-108.954404,36.998906],[-108.620309,36.999287],[-108.619689,36.999249],[-108.379203,36.999459],[-108.320721,36.99951],[-108.320464,36.999499],[-108.2884,36.99952],[-108.288086,36.999555],[-108.250635,36.999561],[-108.249358,36.999015],[-108.000623,37.0000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Mexico\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a><br>U.S. Geological Survey<br>6700 Edith Blvd. NE<br>Albuquerque, NM 87113</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Composite Groundwater-Level Hydrographs</li><li>Composite and Normalized Composite Hydrographs for Selected Aquifers in New Mexico</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Creation of Refined Principal Aquifers Shapefile</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2022-04-11","noUsgsAuthors":false,"publicationDate":"2022-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Myers, Nathan C. 0000-0002-7469-3693 nmyers@usgs.gov","orcid":"https://orcid.org/0000-0002-7469-3693","contributorId":1055,"corporation":false,"usgs":true,"family":"Myers","given":"Nathan","email":"nmyers@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839391,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70232509,"text":"70232509 - 2022 - Extent of sedge-grass meadow in a Lake Michigan drowned river mouth wetland dictated by topography and lake level","interactions":[],"lastModifiedDate":"2022-07-06T15:35:53.404373","indexId":"70232509","displayToPublicDate":"2022-04-11T10:31:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Extent of sedge-grass meadow in a Lake Michigan drowned river mouth wetland dictated by topography and lake level","docAbstract":"<p><span>Water-level fluctuations are critical in maintaining diversity of plant communities in Great Lakes wetlands. Sedge-grass meadows are especially sensitive to such fluctuations. We conducted vegetation sampling in a sedge-grass dominated Lake Michigan drowned river mouth wetland in 1995, 2002, and 2010 following high lake levels in 1986 and 1997. We also conducted photointerpretation studies in 16&nbsp;years dating back to 1965 to include responses to high lake levels in 1952 and 1974. Topographic data were collected to assess their influence on areal extent of sedge-grass meadow. Dominant species in short emergent and submersed/floating plant communities changed with water availability from 1995 to extreme low lake levels in 2002 and 2010. Sedge-grass meadow was dominated by&nbsp;</span><i>Calamagrostis canadensis</i><span>&nbsp;and&nbsp;</span><i>Carex stricta</i><span>&nbsp;in all years sampled, but Importance Values differed among years partly due to sampling in newly exposed areas. Photointerpretation studies showed a significant relation between percent of wetland in&nbsp;</span>sedge-grass meadow<span>&nbsp;and summer lake level, as well as the number of years since an extreme high lake level. From the topographic map created, we calculated the cumulative area above each 0.2-m contour to determine the percent of wetland dewatered in select years following extreme high lake levels. When compared with percent sedge-grass meadow in those years, relative changes in both predicted land surface and sedge-grass meadow demonstrated that accuracy of lake level as a predictor of area of sedge-grass meadow is dependent on topography. Our results regarding relations of plant-community response to hydrology are applicable to other Great Lakes wetlands.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-022-01534-w","usgsCitation":"Wilcox, D., Bateman, J.A., Kowalski, K., Meeker, J., and Dunn, N., 2022, Extent of sedge-grass meadow in a Lake Michigan drowned river mouth wetland dictated by topography and lake level: Wetlands, v. 42, 34, 15 p., https://doi.org/10.1007/s13157-022-01534-w.","productDescription":"34, 15 p.","ipdsId":"IP-133710","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":448142,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s13157-022-01534-w","text":"External Repository"},{"id":435882,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91W73ON","text":"USGS data release","linkHelpText":"Wetland vegetation and elevation of Arcadia Marsh, Michigan (1995-2010)"},{"id":403071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Arcadia Marsh","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.24258995056152,\n              44.478258188004965\n            ],\n            [\n              -86.21297836303711,\n              44.478258188004965\n            ],\n            [\n              -86.21297836303711,\n              44.498280755008004\n            ],\n            [\n              -86.24258995056152,\n              44.498280755008004\n            ],\n            [\n              -86.24258995056152,\n              44.478258188004965\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","noUsgsAuthors":false,"publicationDate":"2022-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilcox, Douglas A.","contributorId":244846,"corporation":false,"usgs":false,"family":"Wilcox","given":"Douglas A.","affiliations":[{"id":48999,"text":"Department of Environmental Science and Ecology, The College at Brockport – State University of New York, Brockport, NY","active":true,"usgs":false}],"preferred":false,"id":845731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bateman, John A","contributorId":292626,"corporation":false,"usgs":false,"family":"Bateman","given":"John","email":"","middleInitial":"A","affiliations":[{"id":62949,"text":"Finger Lakes Community College","active":true,"usgs":false}],"preferred":false,"id":845732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":845733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meeker, James E","contributorId":292627,"corporation":false,"usgs":false,"family":"Meeker","given":"James E","affiliations":[{"id":18886,"text":"Northland College","active":true,"usgs":false}],"preferred":false,"id":845734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunn, Nicole 0000-0002-8234-3845","orcid":"https://orcid.org/0000-0002-8234-3845","contributorId":292759,"corporation":false,"usgs":false,"family":"Dunn","given":"Nicole","email":"","affiliations":[{"id":62993,"text":"University of Wisconsin-Whitewater","active":true,"usgs":false}],"preferred":false,"id":845735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231327,"text":"70231327 - 2022 - Increased mercury and reduced insect diversity in linked stream-riparian food webs downstream of a historical mercury mine","interactions":[],"lastModifiedDate":"2022-07-08T13:26:36.04797","indexId":"70231327","displayToPublicDate":"2022-04-11T09:03:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Increased mercury and reduced insect diversity in linked stream-riparian food webs downstream of a historical mercury mine","docAbstract":"<p><span>Historical mining left a legacy of abandoned mines and waste rock in remote headwaters of major river systems in the western United States. Understanding the influence of these legacy mines on culturally and ecological important downstream ecosystems is not always straight-forward because of elevated natural levels of mineralization in mining-impacted watersheds. To test the ecological effects of historic mining in the headwaters of the upper Salmon River watershed (USA), we measured multiple community and chemical endpoints in downstream linked aquatic-terrestrial food webs. Mining inputs impacted downstream food webs through increased mercury accumulation and decreased insect biodiversity. Total mercury (THg) in seston, aquatic insect larvae, adult aquatic insects, riparian spiders, and fish at sites up to 7.6 km downstream of mining was in much higher concentrations (1.3 to 11.3-fold) and isotopically distinct compared with sites immediately upstream of mining inputs. Methylmercury (MeHg) concentrations in bull trout and riparian spiders were sufficiently high (732 – 918 and 347 – 1,140 ng MeHg g</span><sup>-1</sup><span>dw) to affect humans, birds, and piscivorous fish. Furthermore, the alpha-diversity of benthic insects was locally depressed by 12-20% within 4.3 to 5.7 km downstream of from the mine. However, because total insect biomass was not affected by mine inputs, the mass of mercury in benthic insects at a site (i.e., ng Hg m</span><sup>-2</sup><span>) was extremely elevated downstream (10 – 1,778-fold) compared with directly upstream of mining inputs. Downstream adult aquatic insect-mediated fluxes of total mercury were also high (~16 ng THg m</span><sup>-2</sup><span>d</span><sup>-1</sup><span>). Abandoned mines can have ecologically important effects on downstream communities, including reduced biodiversity and increased mercury flux to higher order consumers, including fish, birds, and humans.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.5342","usgsCitation":"Kraus, J.M., Holloway, J.M., Pribil, M., Mcgee, B.N., Stricker, C.A., Rutherford, D., and Todd, A., 2022, Increased mercury and reduced insect diversity in linked stream-riparian food webs downstream of a historical mercury mine: Environmental Toxicology and Chemistry, v. 41, no. 2, p. 1696-1710, https://doi.org/10.1002/etc.5342.","productDescription":"15 p.","startPage":"1696","endPage":"1710","ipdsId":"IP-136263","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":448145,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5342","text":"Publisher Index Page"},{"id":435883,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P43XBX","text":"USGS data release","linkHelpText":"Mercury concentrations, isotopic composition, biomass, and taxonomy of stream and riparian organisms in the vicinity of Yellow Pine, Idaho, 2015-2016."},{"id":400281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Cinnabar mine site, upper Salmon River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.3667,\n              44.85\n            ],\n            [\n              -115.2333,\n              44.85\n            ],\n            [\n              -115.2333,\n              44.9833\n            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0000-0003-3603-7668","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":201855,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":842309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":842310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcgee, Ben N. 0000-0001-8798-0037 bmcgee@usgs.gov","orcid":"https://orcid.org/0000-0001-8798-0037","contributorId":167273,"corporation":false,"usgs":true,"family":"Mcgee","given":"Ben","email":"bmcgee@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":842311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":842312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rutherford, Danny 0000-0003-1013-8006","orcid":"https://orcid.org/0000-0003-1013-8006","contributorId":201857,"corporation":false,"usgs":true,"family":"Rutherford","given":"Danny","email":"","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":842313,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Todd, Andrew S.","contributorId":212872,"corporation":false,"usgs":false,"family":"Todd","given":"Andrew S.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":842314,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70237199,"text":"70237199 - 2022 - Annual summer submersed macrophyte standing stocks estimated from long-term monitoring data in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2022-10-04T12:14:33.376616","indexId":"70237199","displayToPublicDate":"2022-04-11T07:04:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Annual summer submersed macrophyte standing stocks estimated from long-term monitoring data in the Upper Mississippi River","docAbstract":"<div id=\"14538766\" class=\"article-section-wrapper js-article-section js-content-section  \"><p>System-scale restoration efforts within the Upper Mississippi River National Wildlife and Fish Refuge have included annual monitoring of submersed aquatic vegetation (SAV) since 1998 in four representative reaches spanning ∼ 440 river kilometers. We developed predictive models relating monitoring data (site-scale SAV abundance indices) to diver-harvested SAV biomass, used the models to back-estimate annual standing stock biomass between 1998 and 2018, and compared biomass estimates with previous abundance measures. We modeled two morphologically distinct groups of SAV with differing sampling efficiencies and estimated each separately: the first category included only wild celery<span>&nbsp;</span><i>Vallisneria americana,</i><span>&nbsp;</span>which has long, unbranched leaves and dominates lotic environments, while the second category included 17 branched morphology species (e.g., hornwort<span>&nbsp;</span><i>Ceratophyllum demersum</i><span>&nbsp;</span>and Canadian water weed<span>&nbsp;</span><i>Elodea canadensis</i>) and dominates lentic environments. Wild celery accounted for approximately half of total estimated total biomass in the four reaches, combined branched species accounted for half, and invasive species (Eurasian watermilfoil<span>&nbsp;</span><i>Myriophyllum spicatum</i><span>&nbsp;</span>and curly-leaf pondweed<span>&nbsp;</span><i>Potamogeton crispus</i>), a fraction of the branched species, accounted for &lt; 1.5%. Site-scale SAV estimates ranged from 0 to 535 g·m<sup>−2</sup><span>&nbsp;</span>(dry mass). We observed increases in biomass in most areas between 1998 and 2009 and substantial increases (e.g., from &lt; 10 g·m<sup>−2</sup><span>&nbsp;</span>to ∼ 125 g·m<sup>−2</sup>) in wild celery in extensive impounded areas between 2002 and 2007. Analyses also indicate a transitional period in 2007–2010 during which changes in biomass trajectories were evident in all reaches and included the start of a 9-y, ∼ 70% decrease in wild celery biomass in the southernmost impounded area. Biomass estimates provided new insights and illustrated scales of change that were not previously apparent using traditional metrics. The ability to estimate biomass from Long Term Resource Monitoring data improves conservation efforts through better understanding of changes in habitat and food resources for biota, improved goal setting for restoration projects and improved quantification of SAV-mediated structural effects such as anchoring of sediments and feedbacks with water quality.</p></div>","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-21-063","usgsCitation":"Drake, D.C., Lund, E.M., and Kreiling, R.M., 2022, Annual summer submersed macrophyte standing stocks estimated from long-term monitoring data in the Upper Mississippi River: Journal of Fish and Wildlife Management, v. 13, no. 1, p. 205-222, https://doi.org/10.3996/JFWM-21-063.","productDescription":"18 p.","startPage":"205","endPage":"222","ipdsId":"IP-122160","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":448155,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-063","text":"Publisher Index Page"},{"id":407854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.83447265624999,\n              44.94924926661153\n            ],\n            [\n              -93.2080078125,\n              44.933696389694674\n            ],\n            [\n              -93.09814453125,\n              44.715513732021336\n            ],\n            [\n              -92.4169921875,\n              44.276671273775186\n            ],\n            [\n              -91.60400390625,\n              43.739352079154706\n            ],\n            [\n              -91.4501953125,\n              43.052833917627936\n            ],\n            [\n              -91.01074218749999,\n              42.45588764197166\n            ],\n            [\n              -90.615234375,\n              42.09822241118974\n            ],\n            [\n              -91.07666015625,\n              41.590796851056005\n            ],\n            [\n              -91.1865234375,\n              41.376808565702355\n            ],\n            [\n              -90.68115234375,\n              41.27780646738183\n            ],\n            [\n              -89.93408203124999,\n              41.85319643776675\n            ],\n            [\n              -90.087890625,\n              42.309815415686664\n            ],\n            [\n              -90.439453125,\n              42.65012181368022\n            ],\n            [\n              -90.81298828125,\n              43.32517767999296\n            ],\n            [\n              -91.51611328125,\n              44.38669150215206\n            ],\n            [\n              -92.83447265624999,\n              44.94924926661153\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Drake, Deanne C.","contributorId":207846,"corporation":false,"usgs":false,"family":"Drake","given":"Deanne","email":"","middleInitial":"C.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":853611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, Eric M.","contributorId":291763,"corporation":false,"usgs":false,"family":"Lund","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":853612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":853613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230697,"text":"70230697 - 2022 - Occurrence of water and thermogenic gas from oil-bearing formations in groundwater near the Orcutt Oil Field, California, USA","interactions":[],"lastModifiedDate":"2022-04-21T11:50:24.057279","indexId":"70230697","displayToPublicDate":"2022-04-11T06:48:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10571,"text":"Journal of Hydrology-Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of water and thermogenic gas from oil-bearing formations in groundwater near the Orcutt Oil Field, California, USA","docAbstract":"<div id=\"abs0010\"><h3 id=\"sect0010\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study region</h3><p id=\"sp0050\">Santa Barbara County, California, USA.</p></div><div id=\"abs0015\"><h3 id=\"sect0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study focus</h3><p id=\"sp0055\">To analyze a wide array of newly collected chemical, isotopic, dissolved gas, and age dating tracers in conjunction with historical data from groundwater and oil wells to determine if water and/or thermogenic gas from oil-bearing formations have mixed with groundwater in the Orcutt Oil Field and surrounding area.</p></div><div id=\"abs0020\"><h3 id=\"sect0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">New hydrological insights for the region</h3><p id=\"sp0060\"><span>Three of 15 groundwater samples had compositions indicating potential mixing with water and/or thermogenic gas from oil-bearing formations. Relevant indicators included&nbsp;salinity&nbsp;tracers (TDS, Cl, Br), NH</span><sub>3,</sub><span>&nbsp;DOC, enriched δ</span><sup>13</sup>C-DIC, δ<sup>2</sup>H-CH<sub>4</sub>, δ<sup>13</sup>C-CH<sub>4</sub>, and δ<sup>13</sup>C-C<sub>2</sub>H<sub>6</sub><span>&nbsp;values, and trace amounts of C3-C5 gas. The potential sources/pathways for oil-bearing formation water and/or thermogenic gas in groundwater overlying and adjacent to the Orcutt Oil Field include: (1) upward movement from formations developed for oil production due to: (a) natural migration; or (b)&nbsp;anthropogenic activity&nbsp;such as injection and/or movement along wellbores; and (2) oil and gas shows in overlying non-producing oil-bearing formations. Groundwater age tracers, elevated&nbsp;</span><sup>4</sup><span>He concentrations, and&nbsp;isotopic compositions&nbsp;of noble gases indicated legacy produced water ponds were not a source. This phase of the study relied on samples and data from existing infrastructure. Additional data on potential end-member compositions from new and existing wells and assessments of potential vertical head gradients and pathways between oil and groundwater zones may yield additional insight.</span></p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2022.101065","usgsCitation":"Anders, R., Landon, M.K., McMahon, P.B., Kulongoski, J.T., Hunt, A., and Davis, T., 2022, Occurrence of water and thermogenic gas from oil-bearing formations in groundwater near the Orcutt Oil Field, California, USA: Journal of Hydrology-Regional Studies, v. 41, 101065, 20 p., https://doi.org/10.1016/j.ejrh.2022.101065.","productDescription":"101065, 20 p.","ipdsId":"IP-122507","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":448161,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2022.101065","text":"Publisher Index Page"},{"id":399389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Orcutt Oil Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.76171875,\n              34.23451236236987\n            ],\n            [\n              -119.794921875,\n              34.23451236236987\n            ],\n            [\n              -119.794921875,\n              35.0120020431607\n            ],\n            [\n              -120.76171875,\n              35.0120020431607\n            ],\n            [\n              -120.76171875,\n              34.23451236236987\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anders, Robert 0000-0003-3075-4180 randers@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4180","contributorId":290522,"corporation":false,"usgs":true,"family":"Anders","given":"Robert","email":"randers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":841182,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Tracy 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":176921,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841183,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70240995,"text":"70240995 - 2022 - Food web perspectives and methods for riverine fish conservation","interactions":[],"lastModifiedDate":"2023-03-03T12:42:17.726761","indexId":"70240995","displayToPublicDate":"2022-04-11T06:40:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13444,"text":"Wiley Interdisciplinary Reviews (WIREs): Water","active":true,"publicationSubtype":{"id":10}},"title":"Food web perspectives and methods for riverine fish conservation","docAbstract":"<p>Food web analyses offer useful insights into understanding how species interactions, trophic relationships, and energy flow underpin important demographic parameters of fish populations such as survival, growth, and reproduction. However, the vast amount of food web literature and the diversity of approaches can be a deterrent to fisheries practitioners engaged in on-the-ground research, monitoring, or restoration. Incorporation of food web perspectives into contemporary fisheries management and conservation is especially rare in riverine systems, where approaches often focus more on the influence of physical habitat and water temperature on fish populations. In this review, we first discuss the importance of food webs in the context of several common fisheries management issues, including assessing carrying capacity, evaluating the effects of habitat change, examining species introductions or extinctions, considering bioaccumulation of toxins, and predicting the effects of climate change and other anthropogenic stressors on riverine fishes. We then examine several relevant perspectives: basic food web description, metabolic models, trophic basis of production, mass-abundance network approaches, ecological stoichiometry, and mathematical modeling. Finally, we highlight several existing and emerging methodologies including diet and prey surveys, eDNA, stable isotopes, fatty acids, and community and network analysis. Although our emphasis and most examples are focused on salmonids in riverine environments, the concepts are easily generalizable to other freshwater fish taxa and ecosystems.</p>","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1590","usgsCitation":"Naman, S.M., White, S.M., Bellmore, J.R., McHugh, P.A., Kaylor, M.J., Baxter, C., Danehy, R.J., Naiman, R., and Puls, A.L., 2022, Food web perspectives and methods for riverine fish conservation: Wiley Interdisciplinary Reviews (WIREs): Water, v. 9, no. 4, e1590, 21 p., https://doi.org/10.1002/wat2.1590.","productDescription":"e1590, 21 p.","ipdsId":"IP-134531","costCenters":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":448168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1590","text":"Publisher Index Page"},{"id":413654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Naman, Sean M.","contributorId":302860,"corporation":false,"usgs":false,"family":"Naman","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":865646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Seth M.","contributorId":302862,"corporation":false,"usgs":false,"family":"White","given":"Seth","email":"","middleInitial":"M.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":865647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellmore, J. Ryan","contributorId":271034,"corporation":false,"usgs":false,"family":"Bellmore","given":"J.","email":"","middleInitial":"Ryan","affiliations":[{"id":56260,"text":"U.S. Forest Service, Pacific Northwest Research Station, 11175 Auke Lake Way, Juneau, Alaska, 99801","active":true,"usgs":false}],"preferred":false,"id":865648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McHugh, Peter A.","contributorId":302865,"corporation":false,"usgs":false,"family":"McHugh","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":65566,"text":"Eco Logical Research / Utah State University","active":true,"usgs":false}],"preferred":false,"id":865649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaylor, Matthew J.","contributorId":302867,"corporation":false,"usgs":false,"family":"Kaylor","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":865650,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baxter, Colden V.","contributorId":272243,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":56375,"text":"isu","active":true,"usgs":false}],"preferred":false,"id":865651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danehy, Robert J.","contributorId":302868,"corporation":false,"usgs":false,"family":"Danehy","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":39532,"text":"Catchment Aquatic Ecology","active":true,"usgs":false}],"preferred":false,"id":865652,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Naiman, Robert J.","contributorId":302869,"corporation":false,"usgs":false,"family":"Naiman","given":"Robert J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":865653,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Puls, Amy L. 0000-0002-2686-4187 apuls@usgs.gov","orcid":"https://orcid.org/0000-0002-2686-4187","contributorId":204734,"corporation":false,"usgs":true,"family":"Puls","given":"Amy","email":"apuls@usgs.gov","middleInitial":"L.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":865654,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70245132,"text":"70245132 - 2022 - Pink-footed Shearwater Ardenna creatopus","interactions":[],"lastModifiedDate":"2023-06-16T11:48:03.705648","indexId":"70245132","displayToPublicDate":"2022-04-09T06:47:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":15222,"text":"Birds of the World","active":true,"publicationSubtype":{"id":10}},"title":"Pink-footed Shearwater Ardenna creatopus","docAbstract":"The Pink-footed Shearwater’s life history is tied to the Humboldt and California upwelling currents in the Eastern Pacific Ocean. It is larger than other shearwaters in its range, other than Flesh-footed Shearwater Ardenna carneipes. It is also distinct in appearance with pinkish bill and feet, pale underparts, and brown to grayish upperparts. It is known to breed on the Juan Fernández Islands and Isla Mocha, off central Chile. Birds spend the non-breeding period in waters off Peru and northward to waters off the west coast of North America. Breeding occurs in colonies, where pairs nest in burrows and the female lays a single egg. Breeding colonies generally are located on steep slopes in both open and forested habitats. During the breeding period, the species forages mainly in waters over the relatively narrow continental shelf as well as over deep offshore waters, depending on breeding colony. During the non-breeding period, individuals concentrate near the continental shelf-break and slope, and in more pelagic waters while making migratory movements. The Pink-footed Shearwater preys on fish and squid by seizing them at the surface or by making shallow dives. Foraging is often in association with albacore, dolphins, other seabirds, and fishing vessels. Pink-footed Shearwater is listed as Vulnerable by the IUCN and Endangered by Chile and Canada. Principal conservation threats are mortality from fisheries bycatch (especially in South American fisheries), and predation and habitat degradation from introduced mammals on breeding islands.","language":"English","publisher":"Cornell Lab of Ornithology","doi":"10.2173/bow.pifshe.02","usgsCitation":"Carle, R., Colodro, V., Felis, J.J., Adams, J., and Hodum, P., 2022, Pink-footed Shearwater Ardenna creatopus: Birds of the World, HTML Document, https://doi.org/10.2173/bow.pifshe.02.","productDescription":"HTML Document","ipdsId":"IP-134850","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":418150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carle, Ryan D.","contributorId":213443,"corporation":false,"usgs":false,"family":"Carle","given":"Ryan D.","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":875626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colodro, Valentina 0000-0001-9285-3171","orcid":"https://orcid.org/0000-0001-9285-3171","contributorId":169798,"corporation":false,"usgs":false,"family":"Colodro","given":"Valentina","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":875627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":875628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":875629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodum, Peter J.","contributorId":213444,"corporation":false,"usgs":false,"family":"Hodum","given":"Peter J.","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":875630,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231611,"text":"70231611 - 2022 - Adaptation strategies and approaches for managing fire in a changing climate","interactions":[],"lastModifiedDate":"2022-05-17T12:28:08.785742","indexId":"70231611","displayToPublicDate":"2022-04-08T07:23:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5811,"text":"Climate","active":true,"publicationSubtype":{"id":10}},"title":"Adaptation strategies and approaches for managing fire in a changing climate","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">As the effects of climate change accumulate and intensify, resource managers juggle existing goals and new mandates to operationalize adaptation. Fire managers contend with the direct effects of climate change on resources in addition to climate-induced disruptions to fire regimes and subsequent ecosystem effects. In systems stressed by warming and drying, increased fire activity amplifies the pace of change and scale of severe disturbance events, heightening the urgency for management action. Fire managers are asked to integrate information on climate impacts with their professional expertise to determine how to achieve management objectives in a changing climate with altered fire regimes. This is a difficult task, and managers need support as they incorporate climate adaptation into planning and operations. We present a list of adaptation strategies and approaches specific to fire and climate based on co-produced knowledge from a science–management partnership and pilot-tested in a two-day workshop with natural resource managers and regional stakeholders. This “menu” is a flexible and useful tool for fire managers who need to connect the dots between fire ecology, climate science, adaptation intent, and management implementation. It was created and tested as part of an adaptation framework used widely across the United States and should be applicable and useful in many fire-prone forest ecosystems.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/cli10040058","usgsCitation":"Sample, M., Thode, A., Peterson, C., Gallagher, M., Flatley, W.T., Friggens, M., Evans, A., Loehman, R.A., Hedwall, S., Brandt, L.A., Janowiak, M., and Swanston, C.W., 2022, Adaptation strategies and approaches for managing fire in a changing climate: Climate, v. 10, no. 4, 58, 33 p., https://doi.org/10.3390/cli10040058.","productDescription":"58, 33 p.","ipdsId":"IP-138302","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":448188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/cli10040058","text":"Publisher Index Page"},{"id":400689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Sample, Martha","contributorId":291805,"corporation":false,"usgs":false,"family":"Sample","given":"Martha","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":843109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thode, Andrea E.","contributorId":31896,"corporation":false,"usgs":false,"family":"Thode","given":"Andrea E.","affiliations":[],"preferred":false,"id":843110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Courtney","contributorId":291807,"corporation":false,"usgs":false,"family":"Peterson","given":"Courtney","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":843111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallagher, Michael","contributorId":217833,"corporation":false,"usgs":false,"family":"Gallagher","given":"Michael","email":"","affiliations":[{"id":39697,"text":"Cooperative Institute for Research in Environmental Sciences, NOAA Physical Sciences Division, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":843112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flatley, William T.","contributorId":204190,"corporation":false,"usgs":false,"family":"Flatley","given":"William","email":"","middleInitial":"T.","affiliations":[{"id":16964,"text":"University of Central Arkansas","active":true,"usgs":false}],"preferred":false,"id":843113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friggens, Megan","contributorId":219865,"corporation":false,"usgs":false,"family":"Friggens","given":"Megan","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":843114,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evans, Alexander","contributorId":219867,"corporation":false,"usgs":false,"family":"Evans","given":"Alexander","email":"","affiliations":[{"id":40083,"text":"The Forest Guild","active":true,"usgs":false}],"preferred":false,"id":843115,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":843116,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hedwall, Shaula","contributorId":288934,"corporation":false,"usgs":false,"family":"Hedwall","given":"Shaula","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":843117,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brandt, Leslie A.","contributorId":205996,"corporation":false,"usgs":false,"family":"Brandt","given":"Leslie","email":"","middleInitial":"A.","affiliations":[{"id":37208,"text":"Northern Institute of Applied Climate Science, USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":843118,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Janowiak, Maria","contributorId":178097,"corporation":false,"usgs":false,"family":"Janowiak","given":"Maria","affiliations":[],"preferred":false,"id":843119,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Swanston, Christopher W.","contributorId":206000,"corporation":false,"usgs":false,"family":"Swanston","given":"Christopher","email":"","middleInitial":"W.","affiliations":[{"id":37208,"text":"Northern Institute of Applied Climate Science, USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":843120,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70231405,"text":"70231405 - 2022 - High-resolution observations of submarine groundwater discharge reveal the fine spatial and temporal scales of nutrient exposure on a coral reef: Faga'alu, AS","interactions":[],"lastModifiedDate":"2022-08-02T14:18:07.198108","indexId":"70231405","displayToPublicDate":"2022-04-08T06:32:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution observations of submarine groundwater discharge reveal the fine spatial and temporal scales of nutrient exposure on a coral reef: Faga'alu, AS","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Submarine groundwater discharge (SGD) can deliver substantial nutrient and contaminant loads to nearshore coral reefs. Correctly scaling SGD rates from a point source to a reef is generally a linear process involving simplified assumptions on the hydrogeology, bathymetry, and nearshore hydrodynamics that are essential to properly assess SGD scale and impact to individual coral heads. Here, we apply high-resolution SGD techniques to provide information at the scale of individual coral heads in Faga’alu Bay, American Samoa, where focused SGD delivers a plume of freshened and nutrient-rich water directly to the adjacent coral reef. Unoccupied Aerial System-based measurements were used to acquire remotely sensed, calibrated, high-resolution thermal infrared imagery that were coupled with traditional in-situ SGD observations. This approach permits a detailed assessment of SGD and associated nutrient loadings to individual coral heads as a function of time and enables a more realistic method to quantify SGD impact.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00338-022-02245-8","usgsCitation":"Oberle, F.K., Prouty, N.G., Adebayo, S.B., and Storlazzi, C.D., 2022, High-resolution observations of submarine groundwater discharge reveal the fine spatial and temporal scales of nutrient exposure on a coral reef: Faga'alu, AS: Coral Reefs, v. 41, p. 849-854, https://doi.org/10.1007/s00338-022-02245-8.","productDescription":"6 p.","startPage":"849","endPage":"854","ipdsId":"IP-128475","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":435889,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F0LJNC","text":"USGS data release","linkHelpText":"Near-shore seawater-column measurements of excess radon (Rn-222) and water levels, Faga'alu Bay, Tutuila, American Samoa, August 2018"},{"id":400376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"American Samoa","otherGeospatial":"Faga’alu Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              189.30267333984372,\n              -14.306969497825788\n            ],\n            [\n              189.33494567871094,\n              -14.306969497825788\n            ],\n            [\n              189.33494567871094,\n              -14.276361329935783\n            ],\n            [\n              189.30267333984372,\n              -14.276361329935783\n            ],\n            [\n              189.30267333984372,\n              -14.306969497825788\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","noUsgsAuthors":false,"publicationDate":"2022-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Oberle, Ferdinand K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":214402,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adebayo, Segun B. 0000-0003-4130-4724","orcid":"https://orcid.org/0000-0003-4130-4724","contributorId":291572,"corporation":false,"usgs":false,"family":"Adebayo","given":"Segun","email":"","middleInitial":"B.","affiliations":[{"id":62720,"text":"Department of Earth and Environmental Sciences, Tulane University, New Orleans, LA 70118","active":true,"usgs":false}],"preferred":false,"id":842518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842519,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230180,"text":"sir20225023 - 2022 - Implementing a rapid deployment bridge scour monitoring system in Colorado, 2019","interactions":[],"lastModifiedDate":"2022-04-08T10:58:01.008512","indexId":"sir20225023","displayToPublicDate":"2022-04-07T13:40:00","publicationYear":"2022","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":"2022-5023","displayTitle":"Implementing a Rapid Deployment Bridge Scour Monitoring System in Colorado, 2019","title":"Implementing a rapid deployment bridge scour monitoring system in Colorado, 2019","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Colorado Department of Transportation, installed and operated real-time scour monitoring instrumentation at two bridges in Colorado in 2016 and 2017 to measure streambed elevations in real-time. The instrumentation included acoustic echosounder depth sensors mounted to the bridge substructure units with rigid conduit and fittings. Although functional, the rigid mounting configuration took several days to install at each site, which limits the instrumentation to long-term deployments at previously determined sites. To address this limitation and allow for greater flexibility in bridge selection, a rapid deployment bridge scour monitoring system (RDBSMS) was developed by the U.S. Geological Survey in cooperation with the Colorado Department of Transportation. The RDBSMSs were installed at two other bridges in Colorado in 2019, which were selected by using specific scoring criteria to rank candidate bridges and the potential for high streamflow based on accumulated snowpack. A matrix was developed to rank candidate bridges based on factors including depth, foundation type, average daily traffic, detour route, and scour critical condition. Colorado Department of Transportation bridges F-05-R and P-01-G were selected as the final candidate bridges for installation and testing of the rapid deploy scour monitoring system.</p><p>Bridge F-05-R carries Colorado Highway 13 over the Colorado River near the town of Rifle, Colorado. Because of the misalignment of the pier wall with respect to the river, pier number 4 was instrumented on the left side (looking downstream) to monitor scour conditions. Bridge P-01-G carries U.S. Route 160 over the San Juan River near the Four Corners area in Colorado. Because of misalignment of the pier wall with respect to the river, pier number 4 was instrumented on the right side (looking downstream) to monitor scour conditions. The RDSMSs were installed in approximately 3 hours at each bridge.</p><p>Scour conditions at both bridges were monitored during the snowmelt runoff period in 2019 using the installed RDBSMSs. No major scour events occurred at either structure, but minor scour and fill was measured at each. Sensor performance at F-05-R was excellent, with no missing or erroneous data. Sensor performance at P-01-G was good for most of the period, with some missing and erroneous data during periods of high turbidity.</p><p>Both RDBSMSs were successfully deployed and produced reliable data, demonstrating that both the technology and the installation methods can work in two different riverine environments. Pre-installation of mounting plates would make the installation process faster at flood prone bridges. Having flood prone bridges preconfigured and several RDBSMSs ready to deploy could allow for rapid monitoring during floods such as those which occurred in 2013.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225023","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Henneberg, M.F., and Richards, R.J., 2022, Implementing a rapid deployment bridge scour monitoring system in Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2022–5023, 18 p., https://doi.org/10.3133/sir20225023.","productDescription":"Report: iv, 18 p.; Database","onlineOnly":"Y","ipdsId":"IP-125349","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":397985,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5023/images"},{"id":397984,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System—","linkHelpText":"USGS water data for the Nation: U.S. Geological Survey National Water Information System database"},{"id":397986,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5023/sir20225023.xml"},{"id":397982,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5023/coverthb.jpg"},{"id":397983,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5023/sir20225023.pdf","text":"Report","size":"8.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5023"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.984375,\n              37.020098201368114\n            ],\n            [\n              -103.35937499999999,\n              37.020098201368114\n            ],\n            [\n              -103.35937499999999,\n              41.11246878918088\n            ],\n            [\n              -108.984375,\n              41.11246878918088\n            ],\n            [\n              -108.984375,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/co-water/\" data-mce-href=\"http://www.usgs.gov/centers/co-water/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Rapid Deployment Bridge Scour Monitoring Systems</li><li>Application Lessons and Future Deployments</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2022-04-07","noUsgsAuthors":false,"publicationDate":"2022-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Henneberg, Mark F. 0000-0002-6991-1211 mfhenneb@usgs.gov","orcid":"https://orcid.org/0000-0002-6991-1211","contributorId":187481,"corporation":false,"usgs":true,"family":"Henneberg","given":"Mark","email":"mfhenneb@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Rodney J. 0000-0003-3953-984X","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":202708,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839393,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70230304,"text":"ofr20221027 - 2022 - Historical development of the U.S. Geological Survey hydrological monitoring and investigative programs at the Idaho National Laboratory, Idaho, 2002–2020","interactions":[],"lastModifiedDate":"2026-03-27T20:05:00.989339","indexId":"ofr20221027","displayToPublicDate":"2022-04-07T10:07:22","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1027","displayTitle":"Historical Development of the U.S. Geological Survey Hydrological Monitoring and Investigative Programs at the Idaho National Laboratory, Idaho, 2002–2020","title":"Historical development of the U.S. Geological Survey hydrological monitoring and investigative programs at the Idaho National Laboratory, Idaho, 2002–2020","docAbstract":"<p class=\"p1\">This report summarizes the historical development and operations, from 2002 to 2020, of the U.S. Geological Survey’s (USGS) hydrologic monitoring and investigative programs at the Idaho National Laboratory in cooperation with the U.S. Department of Energy. The report covers the USGS’s programs for water-level monitoring, water-quality sampling, geochemical studies, geophysical logging, geologic framework development, groundwater-flow modeling, drilling, surface-water monitoring, and unsaturated zone studies. The report provides physical information about wells, information about changes and frequencies of sampling and measurements, and management decisions for changes. Brief summaries of USGS reports published from 2002 through 2020 (with U.S. Department of Energy report numbers) are provided in an appendix.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221027","collaboration":"DOE/ID-22256<br />Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Bartholomay, R.C., 2022, Historical development of the U.S. Geological Survey hydrological monitoring and investigative programs at the Idaho National Laboratory, Idaho, 2002–2020: U.S. Geological Survey Open-File Report 2022–1027 (DOE/ID-22256), 54 p., https://doi.org/10.3133/ofr20221027.","productDescription":"viii, 54 p.","onlineOnly":"Y","ipdsId":"IP-127141","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":501768,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112847.htm","linkFileType":{"id":5,"text":"html"}},{"id":398286,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1027/ofr20221027.XML"},{"id":398284,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1027/ofr20221027.pdf","text":"Report","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1017"},{"id":398285,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1027/images"},{"id":398283,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1027/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.466796875,\n              43.1090040242731\n            ],\n            [\n              -112.1044921875,\n              43.1090040242731\n            ],\n            [\n              -112.1044921875,\n              44.465151013519616\n            ],\n            [\n              -113.466796875,\n              44.465151013519616\n            ],\n            [\n              -113.466796875,\n              43.1090040242731\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a> , <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Rd<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Historical Development of Hydrologic Monitoring and Investigative Programs</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li></ul>","publishedDate":"2022-04-07","noUsgsAuthors":false,"publicationDate":"2022-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70228937,"text":"ofr20221001 - 2022 - Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis","interactions":[],"lastModifiedDate":"2022-04-07T16:36:11.779624","indexId":"ofr20221001","displayToPublicDate":"2022-04-07T08:28:05","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1001","displayTitle":"Global Food-Security-Support-Analysis Data at 30-m Resolution (GFSAD30) Cropland-Extent Products—Download Analysis","title":"Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis","docAbstract":"<h1>Introduction</h1><p>The global food-security-support-analysis data at 30-meter resolution (GFSAD30) cropland-extent product is a project to provide high-resolution global cropland-extent data relating to water use. It is the first global-land-cover map focusing exclusively on agriculture with a 30-meter spatial resolution. The overarching goal of the GFSAD30 project is to produce consistent and unbiased estimates of global agricultural cropland products such as cropland extent; cropland types; irrigated versus rainfed cropland; cropping intensities; and spatial and temporal (from 2000 to 2017) changes in cropland extent.</p><p>The goal of this report is to assess and discuss the usage of the GFSAD30 project’s cropland-extent product. Since the public release of GFSAD30 in November 2017, the number of files downloaded has been tracked, as well as the total size of files downloaded, the country from which the GFSAD30 data were downloaded, and the user’s field of study. This report presents a monthly assessment of the usage of GFSAD30 from November 2017 through December 2019. During this period, about 1,900 gigabytes of data and about 225,000 files were downloaded by users in more than 100 countries. This report also includes how GFSAD30 has been cited in media, scientific journals, and other data products. The release of data was widely covered by the national and international press, and GFSAD30 products have been cited more than 200 times in scientific journals.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20221001","usgsCitation":"Oliphant, A., Thenkabail, P., and Teluguntla, P., 2022, Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download analysis: U.S. Geological Survey Open-File Report 2022–1001, 20 p., https://doi.org/10.3133/ofr20221001.","productDescription":"Report: vi, 20 p.; Data Release","ipdsId":"IP-119165","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":398273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1001/covrthb.jpg"},{"id":398276,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HOIB7S","text":"Download rates of the global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products","description":"Oliphant, A.J., Thenkabail, P.S., and Teluguntla, P., 2022, Download rates of the global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products: U.S. Geological Survey data release, https://doi.org/10.5066/P9HOIB7S."},{"id":398274,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1001/ofr20221001.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}}],"contact":"<p><a href=\"https://www.usgs.gov/centers/wgsc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wgsc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/wgsc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wgsc/\">Western Geographic Science Center&nbsp;</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>350 N. Akron Rd.&nbsp;<br>Moffett Field, CA 94035&nbsp;</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Purpose and Scope&nbsp;&nbsp;</li><li>Methodology</li><li>Product Definitions</li><li>Usage of Global Food-Security-Support-Analysis Data at 30-m Resolution (GFSAD30)&nbsp;&nbsp;</li><li>Conclusions&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1. References for GFSAD30 Products&nbsp;&nbsp;</li><li>Appendix 2. References for GFSAD30 Product Documentation&nbsp;&nbsp;</li><li>Appendix 3. References for Peer-Reviewed Scientific Journal Publications Associated with Southeast Asia&nbsp;&nbsp;</li><li>Appendix 4. References for Other Online Sources that Mention GFSAD30&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-04-07","noUsgsAuthors":false,"publicationDate":"2022-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teluguntla, Pardhasaradhi 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":211780,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230301,"text":"dr1153 - 2022 - Quality of surface water in Missouri, water year 2020","interactions":[],"lastModifiedDate":"2026-03-16T20:01:23.734918","indexId":"dr1153","displayToPublicDate":"2022-04-06T14:37:17","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1153","displayTitle":"Quality of Surface Water in Missouri, Water Year 2020","title":"Quality of surface water in Missouri, water year 2020","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, monitors stations designed for the Ambient Water-Quality Monitoring Network, a collection of stations that monitor streams and springs in Missouri. During water year 2020 (October 1, 2019, through September 30, 2020), the U.S. Geological Survey collected water-quality data at 72 stations: 70 Ambient Water-Quality Monitoring stations and 2 U.S. Geological Survey National Water Quality Network stations. Among the stations in this report, four stations have data from additional sampling completed in cooperation with the U.S. Army Corps of Engineers. Water-quality analyses are provided for dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, <i>Escherichia coli</i> bacteria, fecal coliform bacteria, dissolved nitrate plus nitrite as nitrogen, total phosphorus, dissolved and total recoverable lead and zinc, and selected pesticide compounds. Monitoring stations have been classified based on the physiographic province or primary land use in the watershed or based on the unique hydrologic characteristics of the waterbodies (springs, large rivers) monitored. A summary of hydrologic conditions including peak streamflows, monthly mean streamflows, and 7-day low flows also are provided for representative streamgages in the State.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1153","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Buckley, C.E., 2022, Quality of surface water in Missouri, water year 2020: U.S. Geological Survey Data Report 1153, 24 p., https://doi.org/10.3133/dr1153.","productDescription":"Report: vii, 24 p.; Dataset","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-129885","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":398244,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the 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 \"}}]}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>1400 Independence Road <br>Rolla, MO 65401</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>The Ambient Water-Quality Monitoring Network</li><li>Laboratory Reporting Conventions</li><li>Surface-Water-Quality Data Analysis Methods</li><li>Station Classification for Data Analysis</li><li>Hydrologic Conditions</li><li>Distribution, Concentration, and Detection Frequency of Selected Constituents</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-04-06","noUsgsAuthors":false,"publicationDate":"2022-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Buckley, Camille E. 0000-0002-1692-5644","orcid":"https://orcid.org/0000-0002-1692-5644","contributorId":289852,"corporation":false,"usgs":false,"family":"Buckley","given":"Camille","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":839922,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70230271,"text":"70230271 - 2022 - Late season movement and habitat use by Oregon spotted frog (Rana pretiosa) in a large reservoir in Oregon, USA","interactions":[],"lastModifiedDate":"2022-04-06T13:52:43.765634","indexId":"70230271","displayToPublicDate":"2022-04-06T08:46:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Late season movement and habitat use by Oregon spotted frog (<i>Rana pretiosa</i>) in a large reservoir in Oregon, USA","title":"Late season movement and habitat use by Oregon spotted frog (Rana pretiosa) in a large reservoir in Oregon, USA","docAbstract":"<p id=\"ID0EF\" class=\"first\">Dam-created reservoirs are common landscape features that can provide habitat for amphibians, but their water level fluctuations and nonnative predators can differ markedly from more natural habitats. We compared fall movement and habitat use by the Oregon Spotted Frog (<i>Rana pretiosa</i>) in the reservoir pool with nearby river and pond habitats at Crane Prairie Reservoir in central Oregon, USA. Movement rate of frogs in the river and ponds declined as water temperature cooled. Reservoir frogs moved further than those in the river or ponds, and their movement rate increased as water temperature cooled. Most frog locations across all site types were in aquatic herbaceous vegetation. We did not find shifts in habitat between early and late fall. Increased movement and the lack of habitat shift in our reservoir frogs deeper into fall contrast with<span>&nbsp;</span><i>R. pretiosa</i><span>&nbsp;</span>in non-reservoir sites in this study and others. Consistent use of vegetation by reservoir frogs throughout the fall could indicate cover use in presence of fish predators. Our study provides additional detail on the range of habitats used by<span>&nbsp;</span><i>R. pretiosa</i><span>&nbsp;</span>in fall and suggests areas for further work to improve survival in constructed sites with abundant fish predators.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/20-060","usgsCitation":"Pearl, C., Rowe, J., McCreary, B., and Adams, M.J., 2022, Late season movement and habitat use by Oregon spotted frog (Rana pretiosa) in a large reservoir in Oregon, USA: Journal of Herpetology, v. 56, no. 1, p. 8-17, https://doi.org/10.1670/20-060.","productDescription":"10 p.","startPage":"8","endPage":"17","ipdsId":"IP-118882","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":435892,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DACPCV","text":"USGS data release","linkHelpText":"Oregon spotted frog (Rana pretiosa) telemetry and habitat use at Crane Prairie Reservoir in Oregon, USA"},{"id":398207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Crane Prairie Reservoir, Upper Deschutes River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.83168411254883,\n              43.74828114490795\n            ],\n            [\n              -121.8255043029785,\n              43.75286917453258\n            ],\n            [\n              -121.82395935058594,\n              43.75696090422365\n            ],\n            [\n              -121.82035446166991,\n              43.7574568524475\n            ],\n            [\n              -121.81383132934569,\n              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Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCreary, Brome 0000-0002-0313-7796 brome_mccreary@usgs.gov","orcid":"https://orcid.org/0000-0002-0313-7796","contributorId":3130,"corporation":false,"usgs":true,"family":"McCreary","given":"Brome","email":"brome_mccreary@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":839766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839767,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230983,"text":"70230983 - 2022 - Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities","interactions":[],"lastModifiedDate":"2022-06-01T15:23:31.059169","indexId":"70230983","displayToPublicDate":"2022-04-06T06:54:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Anaerobic digestion has been suggested as an intervention to attenuate antibiotic resistance genes (ARGs) in livestock manure but supporting data have typically been collected at laboratory scale. Few studies have quantified ARG fate during full-scale digestion of livestock manure. We sampled untreated manure and digestate from seven full-scale mesophilic dairy manure digesters to assess ARG fate through each system. Samples were collected biweekly from December through August (i.e., winter, spring, and summer;<span>&nbsp;</span><i>n</i>&nbsp;=&nbsp;235 total) and analyzed by quantitative polymerase chain reaction for<span>&nbsp;</span><i>intI1</i>,<span>&nbsp;</span><i>erm</i>(B),<span>&nbsp;</span><i>sul1</i>,<span>&nbsp;</span><i>tet</i>(A), and<span>&nbsp;</span><i>tet</i>(W). Concentrations of<span>&nbsp;</span><i>intI1</i>,<span>&nbsp;</span><i>sul1</i>, and<span>&nbsp;</span><i>tet</i>(A) decreased during anaerobic digestion, but their removal was less extensive than expected based on previous laboratory studies. Removal for<span>&nbsp;</span><i>intI1</i><span>&nbsp;</span>during anaerobic digestion equaled 0.28 ± 0.03 log<sub>10</sub><span>&nbsp;</span>units (mean ± SE), equivalent to only 48% removal and notable given<span>&nbsp;</span><i>intI1</i>’s role in horizontal gene transfer and multiple resistance. Furthermore,<span>&nbsp;</span><i>tet</i>(W) concentrations were unchanged during anaerobic digestion (<i>p&nbsp;</i>&gt;&nbsp;0.05), and<span>&nbsp;</span><i>erm</i>(B) concentrations increased by 0.52 ± 0.03 log<sub>10</sub><span>&nbsp;</span>units (3.3-fold), which is important given erythromycin's status as a critically important antibiotic for human medicine. Seasonal log<sub>10</sub><span>&nbsp;</span>changes in<span>&nbsp;</span><i>intI1</i>,<span>&nbsp;</span><i>sul1</i>, and<span>&nbsp;</span><i>tet</i>(A) concentrations were ≥50% of corresponding log<sub>10</sub><span>&nbsp;</span>removals by anaerobic digestion, and variation in ARG and<span>&nbsp;</span><i>intI1</i><span>&nbsp;</span>concentrations among digesters was quantitatively comparable to anaerobic digestion effects. These results suggest that mesophilic anaerobic digestion may be limited as an intervention for ARGs in livestock manure and emphasize the need for multiple farm-level interventions to attenuate antibiotic resistance.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.20350","usgsCitation":"Burch, T., Firnstahl, A.D., Spencer, S.K., Larson, R.A., and Borchardt, M.A., 2022, Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities: Journal of Environmental Quality, v. 51, no. 3, p. 352-363, https://doi.org/10.1002/jeq2.20350.","productDescription":"12 p.","startPage":"352","endPage":"363","ipdsId":"IP-133713","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":448212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20350","text":"Publisher Index Page"},{"id":399881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":841746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":841748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Rebecca A.","contributorId":290761,"corporation":false,"usgs":false,"family":"Larson","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":62490,"text":"University of Wisconsin, Department of Biological Systems Engineering","active":true,"usgs":false}],"preferred":false,"id":841749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":841750,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230510,"text":"70230510 - 2022 - Sea-level rise and warming mediate coastal groundwater discharge in the Arctic","interactions":[],"lastModifiedDate":"2022-04-14T11:35:53.794119","indexId":"70230510","displayToPublicDate":"2022-04-06T06:34:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level rise and warming mediate coastal groundwater discharge in the Arctic","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Groundwater discharge is an important mechanism through which fresh water and associated solutes are delivered to the ocean. Permafrost environments have traditionally been considered hydrogeologically inactive, yet with accelerated climate change and permafrost thaw, groundwater flow paths are activating and opening subsurface connections to the coastal zone. While warming has the potential to increase land-sea connectivity, sea-level change has the potential to alter land-sea hydraulic gradients and enhance coastal permafrost thaw, resulting in a complex interplay that will govern future groundwater discharge dynamics along Arctic coastlines. Here, we use a recently developed permafrost hydrological model that simulates variable-density groundwater flow and salinity-dependent freeze-thaw to investigate the impacts of sea-level change and land and ocean warming on the magnitude, spatial distribution, and salinity of coastal groundwater discharge. Results project both an increase and decrease in discharge with climate change depending on the rate of warming and sea-level change. Under high warming and low sea-level rise scenarios, results show up to a 58% increase in coastal groundwater discharge by 2100 due to the formation of a supra-permafrost aquifer that enhances freshwater delivery to the coastal zone. With higher rates of sea-level rise, the increase in discharge due to warming is reduced to 21% as sea-level rise decreased land-sea hydraulic gradients. Under lower warming scenarios for which supra-permafrost groundwater flow was not established, discharge decreased by up to 26% between 1980 and 2100 for high sea-level rise scenarios and increased only 8% under low sea-level rise scenarios. Thus, regions with higher warming rates and lower rates of sea-level change (e.g. northern Nunavut, Canada) will experience a greater increase in discharge than regions with lower warming rates and higher rates of sea-level change. The magnitude, location and salinity of discharge have important implications for ecosystem function, water quality, and carbon dynamics in coastal zones.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac6085","usgsCitation":"Guimond, J., Mohammad, A., Walvoord, M.A., Bense, V.F., and Kurylyk, B.L., 2022, Sea-level rise and warming mediate coastal groundwater discharge in the Arctic: Environmental Research Letters, v. 17, 045027, 11 p., https://doi.org/10.1088/1748-9326/ac6085.","productDescription":"045027, 11 p.","ipdsId":"IP-138042","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":448213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac6085","text":"Publisher Index Page"},{"id":398724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationDate":"2022-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":840591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mohammad, Aaron","contributorId":266044,"corporation":false,"usgs":false,"family":"Mohammad","given":"Aaron","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":840592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":840593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":840610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":840594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70237757,"text":"70237757 - 2022 - Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA","interactions":[],"lastModifiedDate":"2022-10-21T15:27:22.011609","indexId":"70237757","displayToPublicDate":"2022-04-05T10:21:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA","docAbstract":"<p><span>Aqueous transport of mercury (Hg) across the landscape is closely linked to dissolved organic matter (DOM). Both quantity and quality of DOM affect Hg mobility, as well as the formation and transport of toxic methylmercury (MeHg), but only a limited number of field studies have investigated Hg and MeHg with respect to specific DOM components. We investigated these interactions at the 41-ha forested W-9 catchment at Sleepers River, Vermont, which has a long history of mercury and other biogeochemical research. We examined spatial and temporal patterns of filtered Hg fractions and dissolved organic carbon (DOC) concentration, DOM quality, and major solutes at 12 stream sites within W-9 and the downstream W-3 gage (837 ha) over five sampling campaigns including a large (79 mm) fall storm, spring snowmelt, and three seasonally contrasting base flow periods. Filtered total Hg (THg), MeHg, and DOC concentrations increased in order base flow &lt; snowmelt &lt; fall storm, except that MeHg remained at baseflow levels during snowmelt. Ranges of median concentrations across sites for the five campaigns were THg, &lt;0.2–4.1&nbsp;ng L</span><sup>−1</sup><span>; MeHg, &lt;0.03–0.45 ng L</span><sup>−1</sup><span>; and DOC, 0.8–14.0&nbsp;mg L</span><sup>−1</sup><span>. Humic-like DOM fluorescence components, as determined by parallel factor analysis (PARAFAC), dominated the fluorescence across sites and sampling campaigns. THg correlated strongly (</span><i>r</i><span> &gt; 0.94) with these humic components, but even more strongly with bulk DOC and absorbance at 254 nm (UV</span><sub>254</sub><span>;&nbsp;</span><i>r</i><span> &gt; 0.96), and less strongly with protein-like DOM (0.7 &lt; </span><i>r</i><span> &lt; 0.9). MeHg correlated in the same order but less strongly with humic- (0.8 &lt; </span><i>r</i><span> &lt; 0.9) and protein-like (0.6 &lt; </span><i>r</i><span> &lt; 0.8) DOM. MeHg increased in summer, potentially in response to enhanced microbial production in warmer periods. MeHg formation may have been linked to protein-like DOM, but its transport was linked to humic-like DOM.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14572","usgsCitation":"Shanley, J.B., Taylor, V., Ryan, K.A., Chalmers, A., Perdrial, J., and Stubbins, A., 2022, Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA: Hydrological Processes, v. 36, no. 5, e14572, 17 p., https://doi.org/10.1002/hyp.14572.","productDescription":"e14572, 17 p.","ipdsId":"IP-124934","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":408612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River Research Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.05866635329214,\n              44.34647865583793\n            ],\n            [\n              -72.40758066011205,\n              44.34647865583793\n            ],\n            [\n              -72.40758066011205,\n              44.188052738709075\n            ],\n            [\n              -72.05866635329214,\n              44.188052738709075\n            ],\n            [\n              -72.05866635329214,\n              44.34647865583793\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Vivien F.","contributorId":296971,"corporation":false,"usgs":false,"family":"Taylor","given":"Vivien F.","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":855460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Kevin A.","contributorId":298331,"corporation":false,"usgs":false,"family":"Ryan","given":"Kevin","email":"","middleInitial":"A.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":855461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalmers, Ann T. 0000-0002-5199-8080","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":298370,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perdrial, Julia","contributorId":190445,"corporation":false,"usgs":false,"family":"Perdrial","given":"Julia","affiliations":[],"preferred":false,"id":855463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stubbins, Aron","contributorId":191244,"corporation":false,"usgs":false,"family":"Stubbins","given":"Aron","email":"","affiliations":[],"preferred":false,"id":855464,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230186,"text":"sir20225028 - 2022 - Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York","interactions":[],"lastModifiedDate":"2022-04-14T15:49:32.631296","indexId":"sir20225028","displayToPublicDate":"2022-04-05T09:50:00","publicationYear":"2022","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":"2022-5028","displayTitle":"Using Microbial Source Tracking To Identify Fecal Contamination Sources in Sag Harbor on Long Island, New York","title":"Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York","docAbstract":"<p>The U.S. Geological Survey worked in cooperation with the New York State Department of Environmental Conservation to assess the potential sources of fecal contamination entering Sag Harbor, an embayment complex on the northern shore of the south fork of Suffolk County, Long Island, New York. Water samples are routinely collected by the New York State Department of Environmental Conservation in the harbor and analyzed for fecal coliform bacteria, an indicator of fecal contamination, to determine the need for closure of shellfish beds for harvest and consumption. Fecal coliform and other bacteria are an indicator of the potential presence of pathogenic (disease-causing) bacteria. However, indicator bacteria alone cannot determine the biological or geographical sources of contamination; therefore, microbial source tracking was implemented to determine various biological sources of contamination. In addition, information such as the location, weather and season, and surrounding land use where a sample was collected help determine the geographical source and conveyance of land-based water to the embayment.</p><p>Analysis revealed that the most substantial source of fecal contamination to Sag Harbor was discharge from sites draining ponds and wetlands, particularly during the summer months. Fecal coliform bacteria at sites where ponds and wetlands drain are increased by stormwater runoff, which is another substantial source of fecal contamination. Human markers were detected in all four samples at the Sag Harbor Sewage Treatment Plant Outfall site but were associated with low fecal coliform concentrations, indicating that the sewage treatment plant is not a likely source of fecal contamination to the embayment. The Ligonee Brook Culvert, Paynes Creek near Marjorie Lane, and Otter Pond Culvert sites were identified as locations that contribute fecal contamination to Sag Harbor. These three locations had high fecal coliform bacteria concentrations in the summer, one of which was positive for canine microbial source tracking markers (Ligonee Brook Culvert), and another positive for waterfowl markers (Paynes Creek near Marjorie Lane). The absence of fecal coliform bacteria and human microbial source tracking markers in groundwater samples indicates that water from septic systems does not influence the harbor; however, elevated fecal coliform bacteria concentrations were not often detected. Further, the sandy sediment alongside Sag Harbor is unlikely to contribute fecal coliform bacteria when resuspended in the water column through tidal shifts or boat activity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225028","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Tagliaferri, T.N., Fisher, S.C., Kephart, C.M., Cheung, N., Reed, A.P., and Welk, R.J., 2022, Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York: U.S. Geological Survey Scientific Investigations Report 2022–5028, 17 p., https://doi.org/10.3133/sir20225028.","productDescription":"Report: vi, 17 p.; Data Release","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129683","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":398006,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20215033","text":"Scientific Investigations Report 2021–5033","linkHelpText":"- Overview and Methodology for a Study To Identify Fecal Contamination Sources Using Microbial Source Tracking in Seven Embayments on Long Island, New York"},{"id":398104,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225028/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":398001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5028/coverthb.jpg"},{"id":398002,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5028/sir20225028.pdf","text":"Report","size":"1.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5028"},{"id":398003,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5028/sir20225028.XML"},{"id":398004,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5028/images/"},{"id":398005,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"USGS water data for the nation"}],"country":"United States","state":"New York","city":"Sag Harbor","otherGeospatial":"Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.31269836425781,\n              40.98896902507167\n            ],\n            [\n              -72.27458953857422,\n              40.98896902507167\n            ],\n            [\n              -72.27458953857422,\n              41.0102160917684\n            ],\n            [\n              -72.31269836425781,\n              41.0102160917684\n            ],\n            [\n              -72.31269836425781,\n              40.98896902507167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180-8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Site Description</li><li>Approach and Methods</li><li>Results</li><li>Classification of Source Sites</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Sample Collection in Sag Harbor on Long Island, New York</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-04-05","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Tagliaferri, Tristen N. 0000-0001-7408-7899 ttagliaferri@usgs.gov","orcid":"https://orcid.org/0000-0001-7408-7899","contributorId":5138,"corporation":false,"usgs":true,"family":"Tagliaferri","given":"Tristen","email":"ttagliaferri@usgs.gov","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheung, Natalie 0000-0003-2987-0440 ncheung@usgs.gov","orcid":"https://orcid.org/0000-0003-2987-0440","contributorId":258429,"corporation":false,"usgs":true,"family":"Cheung","given":"Natalie","email":"ncheung@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Ariel P. 0000-0002-0792-5204","orcid":"https://orcid.org/0000-0002-0792-5204","contributorId":219992,"corporation":false,"usgs":true,"family":"Reed","given":"Ariel","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839413,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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