{"pageNumber":"211","pageRowStart":"5250","pageSize":"25","recordCount":68807,"records":[{"id":70217899,"text":"70217899 - 2021 - Variation in metal concentrations across a large contamination gradient is reflected in stream but not linked riparian food webs","interactions":[],"lastModifiedDate":"2021-02-10T13:53:52.158328","indexId":"70217899","displayToPublicDate":"2021-01-20T07:50:27","publicationYear":"2021","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":"Variation in metal concentrations across a large contamination gradient is reflected in stream but not linked riparian food webs","docAbstract":"

Aquatic insects link food web dynamics across freshwater-terrestrial boundaries and subsidize terrestrial consumer populations. Contaminants that accumulate in larval aquatic insects and are retained across metamorphosis can increase dietary exposure for riparian insectivores. To better understand potential exposure of terrestrial insectivores to aquatically-derived trace metals, metal concentrations in water and tissues were analyzed from different components of streams and riparian food webs across a large (2–3 orders of magnitude) metal gradient (e.g., Zn, Cu, Cd, Pb) in the Rocky Mountains (USA). Our research indicates that the trace metal concentration gradient present among streams was lost during metamorphosis of aquatic larval insects into terrestrially flying adults, decoupling terrestrial exposures from aquatic concentrations. This pattern was caused by declines in 1) among-stream variation in trace metal concentrations, 2) relationships between metal concentrations in paired water and food web components, and 3) mean metal concentrations within aquatic food webs and across the aquatic-terrestrial boundary. Specifically, among-stream variation in trace metal concentrations was highest for water and aquatic vegetation, intermediate for aquatic insect larvae (~30% lower than water) and lowest for adult aquatic insects and riparian spiders (~65% lower). Metal concentrations in paired water and food web components ranged from highly related across the stream-metal gradient (slopes ~1) for water and aquatic vegetation, to less related (slopes closer to 0) for aquatic vegetation and aquatic insect larvae, to unrelated (slopes ~0) for aquatic larval and adult insects. Finally, mean metal concentrations were highest in aquatic vegetation and lowest in adult aquatic insects emerging from streams (~50% lower than aquatic vegetation). Our results indicate less efficient trophic transfer and higher metamorphic loss of trace metals from high metal streams (i.e., exposure-dependent transfer). For many trace metals, aquatic-terrestrial dietary transfer is unlikely to be an important source of exposure for terrestrial insectivores of adult aquatic insects.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.144714","usgsCitation":"Kraus, J.M., Wanty, R., Schmidt, T., Walters, D., and Wolf, R., 2021, Variation in metal concentrations across a large contamination gradient is reflected in stream but not linked riparian food webs: Science of the Total Environment, v. 769, 144714, 11 p., https://doi.org/10.1016/j.scitotenv.2020.144714.","productDescription":"144714, 11 p.","ipdsId":"IP-101610","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":453792,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.144714","text":"Publisher Index Page"},{"id":436553,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BLJCYP","text":"USGS data release","linkHelpText":"Trace metals in water and biota in and near headwater streams in the Colorado Mineral Belt"},{"id":383196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"769","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":810115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wanty, Richard B. 0000-0002-2063-6423","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":209899,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","middleInitial":"B.","affiliations":[],"preferred":true,"id":810116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":37277,"text":"WMA - Earth System Processes Division","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}],"preferred":true,"id":810117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205921,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":810118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolf, Ruth E. 0000-0002-2361-7340","orcid":"https://orcid.org/0000-0002-2361-7340","contributorId":195465,"corporation":false,"usgs":false,"family":"Wolf","given":"Ruth E.","affiliations":[{"id":35727,"text":"PerkinElmer, Incorporated","active":true,"usgs":false}],"preferred":false,"id":810119,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218015,"text":"70218015 - 2021 - Trends in precipitation chemistry across the U.S. 1985–2017: Quantifying the benefits from 30 years of Clean Air Act amendment regulation","interactions":[],"lastModifiedDate":"2021-02-12T13:30:36.619989","indexId":"70218015","displayToPublicDate":"2021-01-20T07:22:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trends in precipitation chemistry across the U.S. 1985–2017: Quantifying the benefits from 30 years of Clean Air Act amendment regulation","docAbstract":"

Acid rain was first recognized in the 1970s in North America and Europe as an atmospheric pollutant that was causing harm to ecosystems. In response, the U.S. Congress enacted Title IV of the Clean Air Act Amendments (CAA) in 1990 to reduce sulfur and nitrogen emissions from fossil fuel burning power plants. This study reports trends in wet-precipitation chemistry in response to emissions reductions implemented as part of the CAA. Trends were calculated for sulfate (SO4), nitrate (NO3) and ammonium (NH4) from 1985 to 2017 at 168 stations operated by the National Atmospheric Deposition Program (NADP); stations were divided into 9 regions across the United States. Trend analyses were conducted for three time periods: Period 1 (1985–1999), Period 2 (2000–2017), and the entire study period (1985–2017). Seasonal and regional Kendall trend analyses reveal significant decreasing trends in mean wet-precipitation SO4 concentrations in all 9 regions during the entire study period. The largest decreasing trends in monthly mean SO4 precipitation-weighted concentrations were measured in the Mid-Atlantic (−1.29 μeq/l/yr), Midwest (−1.15 μeq/l/yr), and Northeast regions (−1.10 μeq/l/yr). The trends in monthly mean NO3 concentrations were not as strong as those for SO4, but all of the regions had significant decreasing trends in NO3 and again the Mid-Atlantic (−0.53 μeq/l/yr), Midwest (−0.44 μeq/l/yr), and Northeast regions (−0.50 μeq/l/yr) had the strongest trends. Trends were steepest during Period 2 for SO4 and NO3, in fact for NO3 86% of the stations had significant decreasing trends during Period 2 while only 8% of the stations had significant decreasing trends during Period 1. The stations with the highest concentrations of SO4 and NO3 at the beginning of the study had the strongest decreasing trends and the relations were stronger during Period 2 than Period 1. For NH4, 22% of the stations had statistically significant increasing trends in concentration during Period 1. The largest increasing trends in wet-precipitation NH4 concentration occurred in the North-Central region during Period 1, Period 2 and throughout the entire study. By comparison, NH4 trends in the Rocky-North and Rocky-South regions were about half as steep and trends in the South-Central and Midwest regions were about one-third as steep.

We compared trends in SO4 and NO3 concentrations from NADP stations to emissions of sulfur dioxide and nitrogen oxides, respectively to determine whether there was a relation between emissions and wet-precipitation concentration trends within proximity to NADP stations. There was a statistically significant relation (r2 = 0.62–0.69, p < 0.01) between the trend in SO4 concentrations at individual NADP stations and total and mean sulfur dioxide (SO2) emissions from power plants within a range of 750 km and 1000 km from each station. There were also significant relations between NO3 concentration trends at NADP stations and power plant emissions of nitrogen oxides, but they were not nearly as strong (r2 = 0.18–0.36, p < 0.01) as those for SO4 and were strongest for emissions within a range of 1000 km and 1500 km from each NADP station. Decreases in wet-precipitation SO4 concentrations were more consistent across regions and through time than decreases in NO3 and SO4 trends were more closely linked to stationary emissions sources than NO3 trends. There were statistically significant increases in NH4 wet-precipitation concentrations, as have been reported in previous studies, but this study found that those increases were strongest during Period 1 and were not consistent across the United States. During the first 3 years of the study period, wet-precipitation acidity was dominated by SO4 in 8 of the 9 regions; by 2017 NO3 dominated the acidity of wet-precipitation in 7 of the 9 regions. There has also been a downward shift in the NO3:NH4 ratio of wet-precipitation as the emissions of nitrogen oxides have declined while ammonia emissions have remained essentially constant. This shift has resulted in an increase in wet-precipitation total nitrogen concentrations in 7 of the 9 regions and indicate that efforts to control NH3 emissions will become increasingly important as emissions of nitrogen oxides continue to decline.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2021.118219","usgsCitation":"McHale, M., Ludtke, A., Wetherbee, G.A., Burns, D., Nilles, M., and Finkelstein, J., 2021, Trends in precipitation chemistry across the U.S. 1985–2017: Quantifying the benefits from 30 years of Clean Air Act amendment regulation: Atmospheric Environment, v. 247, 118219, 14 p., https://doi.org/10.1016/j.atmosenv.2021.118219.","productDescription":"118219, 14 p.","ipdsId":"IP-121628","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":453798,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2021.118219","text":"Publisher Index 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mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":177292,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ludtke, Amy 0000-0002-5532-8391","orcid":"https://orcid.org/0000-0002-5532-8391","contributorId":250681,"corporation":false,"usgs":false,"family":"Ludtke","given":"Amy","email":"","affiliations":[{"id":50221,"text":"U.S. Geological Survey - Retired","active":true,"usgs":false}],"preferred":false,"id":810227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":215100,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"","middleInitial":"A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":810228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nilles, Mark A. 0000-0001-7978-9451","orcid":"https://orcid.org/0000-0001-7978-9451","contributorId":250682,"corporation":false,"usgs":false,"family":"Nilles","given":"Mark A.","affiliations":[{"id":50221,"text":"U.S. Geological Survey - Retired","active":true,"usgs":false}],"preferred":false,"id":810230,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810231,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217343,"text":"cir1476 - 2021 - U.S. Geological Survey 21st-Century science strategy 2020–2030","interactions":[],"lastModifiedDate":"2021-01-20T17:04:25.983569","indexId":"cir1476","displayToPublicDate":"2021-01-19T15:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1476","displayTitle":"U.S. Geological Survey 21st-Century Science Strategy 2020–2030","title":"U.S. Geological Survey 21st-Century science strategy 2020–2030","docAbstract":"

Today’s Earth system challenges are far more complex and urgent than those that existed in 1879 when the USGS was established. Society’s greatest challenges are directly or indirectly linked to major areas of USGS science. Increased pressures on natural resources continue with consequences for national security, food and water availability, natural disasters, human health, and biodiversity loss. As we look forward 10, 20, and 30 years, our mission will be more important than ever before. A broad but coherent view is required for stewardship of the Nation’s land, water, mineral, energy, and ecosystem resources, which involves complex tradeoffs among multiple, often competing objectives. Increasingly, resource managers and decision makers need “the whole USGS”:

This Science Strategy defines a vision and mission for how we will continue to evolve USGS Science to address these Earth system challenges.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1476","usgsCitation":"U.S. Geological Survey, 2021, U.S. Geological Survey 21st-Century Science Strategy 2020–2030: U.S. Geological Survey Circular 1476, 20 p., https://doi.org/10.3133/cir1476.","productDescription":"v, 20 p.","onlineOnly":"Y","ipdsId":"IP-125591","costCenters":[{"id":5066,"text":"Office of the Director USGS","active":true,"usgs":true}],"links":[{"id":382282,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1476/cir1476.pdf","text":"Report","size":"4.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1476"},{"id":382281,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1476/coverthb.jpg"}],"contact":"

Send email to ask@usgs.gov
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishedDate":"2021-01-19","noUsgsAuthors":false,"publicationDate":"2021-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":152492,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":808439,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70217659,"text":"70217659 - 2021 - Wildfires: Identification of a new suite of aromatic polycarboxylic acids in ash and surface water","interactions":[],"lastModifiedDate":"2021-01-27T13:52:02.092967","indexId":"70217659","displayToPublicDate":"2021-01-19T07:48:51","publicationYear":"2021","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":"Wildfires: Identification of a new suite of aromatic polycarboxylic acids in ash and surface water","docAbstract":"

Ash and surface water samples collected after wildfires in four different geographical locations (California, Colorado, Kansas and Alberta) were analyzed. The ash samples were leached with deionized water, and leachates were concentrated by solid phase extraction and analyzed by liquid chromatography/time-of-flight mass spectrometry. In addition, three surface water samples and a lysimeter water sample were collected from watersheds recently affected by fire in California and Colorado, and analyzed in similar fashion. A suite of benzene polycarboxylic acids (BPCAs), with two and three carboxyl groups and their corresponding isomers were identified for the first time in both ash leachates and water samples. Also found was a pyridine carboxylic acid (PCA), 3,5-pyridine dicarboxylic acid. Furthermore, putative identifications were made for other carboxylated aromatic acids: quinolinic, naphthalenic, and benzofuranoic acid carboxylates. The wildfire ashes, a controlled wood ash, and post-fire surface water samples suggest that burned woody material, along with surface plant-material and heated o-horizon soil organic matter, contribute to both BPCAs and PCAs in runoff. This study is the first of its kind to identify this suite of aromatic acids in wildfire ash and surface water samples. These data make an important contribution to the nature of dissolved organic matter from wildfire and are useful to better understand the impact of wildfire on water quality and drinking water sources.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.144661","usgsCitation":"Ferrer, I., Thurman, E., Zweigenbaum, J.A., Murphy, S.F., Webster, J.P., and Rosario-Ortiz, F.L., 2021, Wildfires: Identification of a new suite of aromatic polycarboxylic acids in ash and surface water: Science of the Total Environment, v. 770, 144661, 9 p., https://doi.org/10.1016/j.scitotenv.2020.144661.","productDescription":"144661, 9 p.","ipdsId":"IP-123162","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":382657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"770","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ferrer, Imma","contributorId":169362,"corporation":false,"usgs":false,"family":"Ferrer","given":"Imma","email":"","affiliations":[{"id":25480,"text":"Univ of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":809172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurman, E. Michael","contributorId":248452,"corporation":false,"usgs":false,"family":"Thurman","given":"E. Michael","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":809173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zweigenbaum, Jerry A.","contributorId":248453,"corporation":false,"usgs":false,"family":"Zweigenbaum","given":"Jerry","email":"","middleInitial":"A.","affiliations":[{"id":49914,"text":"Agilent Technologies, Inc.","active":true,"usgs":false}],"preferred":false,"id":809174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":809175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webster, Jackson P.","contributorId":248454,"corporation":false,"usgs":false,"family":"Webster","given":"Jackson","email":"","middleInitial":"P.","affiliations":[{"id":49915,"text":"California State University Chico","active":true,"usgs":false}],"preferred":false,"id":809176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosario-Ortiz, Fernando L.","contributorId":240990,"corporation":false,"usgs":false,"family":"Rosario-Ortiz","given":"Fernando","email":"","middleInitial":"L.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":809177,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70218743,"text":"70218743 - 2021 - Editorial: Advances in hydrology and the water environment in the karst critical zone under the impacts of climate change and anthropogenic activities","interactions":[],"lastModifiedDate":"2021-03-10T13:44:33.256046","indexId":"70218743","displayToPublicDate":"2021-01-19T07:42:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Editorial: Advances in hydrology and the water environment in the karst critical zone under the impacts of climate change and anthropogenic activities","docAbstract":"

No abstract available.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2021.125982","usgsCitation":"Mahler, B., Yongjun, J., Pu, J., and Martin, J., 2021, Editorial: Advances in hydrology and the water environment in the karst critical zone under the impacts of climate change and anthropogenic activities: Journal of Hydrology, v. 595, 125982, 6 p., https://doi.org/10.1016/j.jhydrol.2021.125982.","productDescription":"125982, 6 p.","ipdsId":"IP-125436","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":384271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"595","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yongjun, Jiang 0000-0002-9936-698X","orcid":"https://orcid.org/0000-0002-9936-698X","contributorId":254975,"corporation":false,"usgs":false,"family":"Yongjun","given":"Jiang","email":"","affiliations":[{"id":51378,"text":"Southwest University","active":true,"usgs":false}],"preferred":false,"id":811577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pu, Junbing 0000-0003-0418-4719","orcid":"https://orcid.org/0000-0003-0418-4719","contributorId":254976,"corporation":false,"usgs":false,"family":"Pu","given":"Junbing","email":"","affiliations":[{"id":51380,"text":"Chinese Academy of Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":811578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Jonathan 0000-0001-7047-0321","orcid":"https://orcid.org/0000-0001-7047-0321","contributorId":254977,"corporation":false,"usgs":false,"family":"Martin","given":"Jonathan","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":811579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217346,"text":"70217346 - 2021 - An integrated geochemical approach for defining sources of groundwater salinity in the southern Rio Grande Valley of the Mesilla Basin, New Mexico and west Texas, USA","interactions":[],"lastModifiedDate":"2021-01-19T13:37:25.734666","indexId":"70217346","displayToPublicDate":"2021-01-19T07:31:35","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"TM-388","displayTitle":"An Integrated Geochemical Approach for Defining Sources of Groundwater Salinity in the Southern Rio Grande Valley of the Mesilla Basin, New Mexico and West Texas, USA","title":"An integrated geochemical approach for defining sources of groundwater salinity in the southern Rio Grande Valley of the Mesilla Basin, New Mexico and west Texas, USA","docAbstract":"

A significantly elevated groundwater salinity zone was identified in the southern part of the Mesilla Valley. This investigation characterized the occurrence, spatial extent, and source of the plume of elevated groundwater salinity using a wide range of geochemical and geophysical data and methods.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"New Mexico Water Resources Research Institute Technical Reports","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"New Mexico Water Resources Research Institute","collaboration":"New Mexico State University","usgsCitation":"Kubicki, C., Carroll, K.C., Witcher, J.C., and Robertson, A.J., 2021, An integrated geochemical approach for defining sources of groundwater salinity in the southern Rio Grande Valley of the Mesilla Basin, New Mexico and west Texas, USA, x, 69 p.","productDescription":"x, 69 p.","ipdsId":"IP-116521","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":382290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382289,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://nmwrri.nmsu.edu/tr-388/"}],"country":"United States","state":"New Mexico, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.4737548828125,\n 31.774877618507386\n ],\n [\n -105.2435302734375,\n 31.774877618507386\n ],\n [\n -105.2435302734375,\n 33.6420625047537\n ],\n [\n -107.4737548828125,\n 33.6420625047537\n ],\n [\n -107.4737548828125,\n 31.774877618507386\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kubicki, Christopher","contributorId":247825,"corporation":false,"usgs":false,"family":"Kubicki","given":"Christopher","email":"","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":808442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carroll, Kenneth C. 0000-0003-2097-9589","orcid":"https://orcid.org/0000-0003-2097-9589","contributorId":247827,"corporation":false,"usgs":false,"family":"Carroll","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":808443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witcher, James C.","contributorId":247828,"corporation":false,"usgs":false,"family":"Witcher","given":"James","email":"","middleInitial":"C.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":808444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, Andrew J. 0000-0003-2130-0347 ajrobert@usgs.gov","orcid":"https://orcid.org/0000-0003-2130-0347","contributorId":4129,"corporation":false,"usgs":true,"family":"Robertson","given":"Andrew","email":"ajrobert@usgs.gov","middleInitial":"J.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808445,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70218003,"text":"70218003 - 2021 - Groundwater development leads to decreasing arsenic concentrations in the San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2021-05-04T11:50:43.999724","indexId":"70218003","displayToPublicDate":"2021-01-18T13:45:28","publicationYear":"2021","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":"Groundwater development leads to decreasing arsenic concentrations in the San Joaquin Valley, California","docAbstract":"

In the San Joaquin Valley (SJV), California, about 10% of drinking water wells since 2010 had arsenic concentrations above the US maximum contaminant level of 10 μg/L. High concentrations of arsenic are often associated with high pH (greater than 7.8) or reduced geochemical conditions. Although most wells have low arsenic (<3 μg/L) and do not have changing arsenic concentrations, this study found that most wells with concentrations above 10 μg/L had arsenic trends. Overall, about 24% of wells had time-series trends since 2010 and 59% had paired-sample trends since 2000. Most wells had decreasing arsenic trends, even in wells with higher arsenic concentrations. These wells often had co-detections of increasing nitrate and sulfate trends that reflect oxic groundwater likely derived from agricultural recharge. Wells with increasing arsenic trends were deeper or located in the valley trough where aquifer materials are more fine-grained and where reducing conditions favor arsenic mobility. Wells with arsenic trends also tend to be clustered near areas of higher well density. Groundwater pumping in these areas has likely increased the contribution of younger, more oxic groundwater in wells with declining arsenic or, less frequently, increased the contribution of higher pH or reduced groundwater in wells with rising arsenic. Projections of arsenic trends indicate that 37 wells with high arsenic presently will be below 10 μg/L in ten years. Unfortunately, these improvements will be largely offset by 31 wells that are expected to increase above 10 μg/L in addition to expected rises in nitrate in wells where arsenic decreased. This study shows how human-altered flow systems can impact the natural geochemical character of water in both beneficial and deleterious ways.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.145223","usgsCitation":"Haugen, E.A., Jurgens, B., Arroyo-Lopez, J.A., and Bennett, G.L., 2021, Groundwater development leads to decreasing arsenic concentrations in the San Joaquin Valley, California: Science of the Total Environment, v. 771, 145223, 14 p., https://doi.org/10.1016/j.scitotenv.2021.145223.","productDescription":"145223, 14 p.","ipdsId":"IP-118584","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":453817,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.145223","text":"Publisher Index Page"},{"id":436558,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OZ50BM","text":"USGS data release","linkHelpText":"Water Quality data compiled for Groundwater development leads to decreasing arsenic concentrations in the San Joaquin Valley, California"},{"id":383224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ja/70218003/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.16870117187501,\n 35.092945313732635\n ],\n [\n -118.54248046874999,\n 35.71975793933433\n ],\n [\n -119.5751953125,\n 37.23907530202184\n ],\n [\n -121.387939453125,\n 39.07890809706475\n ],\n [\n -121.56372070312499,\n 39.40224434029275\n ],\n [\n -122.574462890625,\n 39.223742741391305\n ],\n [\n -121.761474609375,\n 38.12591462924157\n ],\n [\n -121.14624023437499,\n 37.47485808497102\n ],\n [\n -120.465087890625,\n 36.518465989675875\n ],\n [\n -120.21240234375001,\n 35.88905007936091\n ],\n [\n -119.674072265625,\n 35.263561862152095\n ],\n [\n -119.16870117187501,\n 35.092945313732635\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"771","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haugen, Emily A. 0000-0002-0263-9911","orcid":"https://orcid.org/0000-0002-0263-9911","contributorId":211480,"corporation":false,"usgs":true,"family":"Haugen","given":"Emily","email":"","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203409,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arroyo-Lopez, Jose Alfredo 0000-0002-7835-2730","orcid":"https://orcid.org/0000-0002-7835-2730","contributorId":250663,"corporation":false,"usgs":true,"family":"Arroyo-Lopez","given":"Jose","email":"","middleInitial":"Alfredo","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, George L. V V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L. V","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223444,"text":"70223444 - 2021 - Migration of injected wastewater with high levels of ammonia in a saline aquifer in south Florida","interactions":[],"lastModifiedDate":"2021-08-30T12:05:28.839956","indexId":"70223444","displayToPublicDate":"2021-01-18T10:31:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Migration of injected wastewater with high levels of ammonia in a saline aquifer in south Florida","docAbstract":"

Treated wastewater with high levels of ammonia has been injected, since March 1983 into the deep saline units of the Lower Floridan aquifer (LFA) from a treatment plant near the east coast of Miami-Dade County in southeastern Florida. Monitoring wells in the plant recorded ammonia concentrations above ambient levels at hydrogeologic units located about 1000 ft (304.8 m) above injection depths between 2500 and 2800 ft (762 and 853 m) below sea level. A solute-transport model was developed to assess the horizontal and vertical extent of the injected ammonia, with ammonia moving from the injected zone into the overlying units: the upper semiconfining unit, the uppermost permeable zone of the LFA, and the middle semiconfining units of the Avon Park Formation. Ammonia is assumed to be transported under the effects of local heterogeneity in a porous limestone aquifer with high-salinity ambient groundwater and via upward migration through quasi-vertical pathways. A flow model of the migration of the injected ammonia was calibrated with PEST using head, salinity, and ammonia concentration data measured from 1983 to 2013. Borehole geophysical data support the high permeability of the uppermost permeable zone in the LFA. Average simulated head, normalized salinity, and ammonia concentration residuals over all monitoring wells were −1.37 ft, 0.01, and −0.67 mg/L, respectively. Model results are consistent with undetectable ammonia concentrations in the Upper Floridan aquifer.

","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13076","usgsCitation":"Sepulveda, N., and Lohmann, M., 2021, Migration of injected wastewater with high levels of ammonia in a saline aquifer in south Florida: Groundwater, v. 59, no. 4, p. 597-613, https://doi.org/10.1111/gwat.13076.","productDescription":"17 p.","startPage":"597","endPage":"613","ipdsId":"IP-107330","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":436559,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EWI8N0","text":"USGS data release","linkHelpText":"Data Sets for Simulation of Migration of Injected Wastewater with High Levels of Ammonia in a Saline Aquifer in South Florida, using SEAWAT v 4"},{"id":388589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.9088134765625,\n 25.175116531621764\n ],\n [\n -79.42291259765625,\n 25.175116531621764\n ],\n [\n -79.42291259765625,\n 26.04444515079636\n ],\n [\n -80.9088134765625,\n 26.04444515079636\n ],\n [\n -80.9088134765625,\n 25.175116531621764\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Sepulveda, Nicasio 0000-0002-6333-1865 nsepul@usgs.gov","orcid":"https://orcid.org/0000-0002-6333-1865","contributorId":1454,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Nicasio","email":"nsepul@usgs.gov","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":822044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lohmann, Melinda A. 0000-0003-1472-159X","orcid":"https://orcid.org/0000-0003-1472-159X","contributorId":216660,"corporation":false,"usgs":true,"family":"Lohmann","given":"Melinda A.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":822045,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70217749,"text":"70217749 - 2021 - Poecivirus is present in individuals with beak deformities in seven species of North American birds","interactions":[],"lastModifiedDate":"2021-04-08T14:49:00.142143","indexId":"70217749","displayToPublicDate":"2021-01-18T10:12:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Poecivirus is present in individuals with beak deformities in seven species of North American birds","docAbstract":"

Avian keratin disorder (AKD), a disease of unknown etiology characterized by debilitating beak overgrowth, has increasingly affected wild bird populations since the 1990s. A novel picornavirus, poecivirus, is closely correlated with disease status in Black-capped Chickadees (Poecile atricapillus) in Alaska. However, our knowledge of the relationship between poecivirus and beak deformities in other species and other geographic areas remains limited. The growing geographic scope and number of species affected by AKD-like beak deformities require a better understanding of the causative agent to evaluate the population-level impacts of this epizootic. Here, we tested eight individuals from six avian species with AKD-consistent deformities for the presence of poecivirus: Mew Gull (Larus canus), Hairy Woodpecker (Picoides villosus), Black-billed Magpie (Pica hudsonia), American Crow (Corvus brachyrhynchos), Red-breasted Nuthatch (Sitta canadensis), and Blackpoll Warbler (Setophaga striata). The birds were sampled in Alaska and Maine (1999−2016). We used targeted PCR followed by Sanger sequencing to test for the presence of poecivirus in each specimen and to obtain viral genome sequence from virus-positive host individuals. We detected poecivirus in all individuals tested, but not in negative controls (water and tissue samples). Furthermore, we used unbiased metagenomic sequencing to test for the presence of other pathogens in six of these specimens (Hairy Woodpecker, two American Crows, two Red-breasted Nuthatches, Blackpoll Warbler). This analysis yielded additional viral sequences from several specimens, including the complete coding region of poecivirus from one Red-breasted Nuthatch, which we confirmed via targeted PCR followed by Sanger sequencing. This study demonstrates that poecivirus is present in individuals with AKD-consistent deformities from six avian species other than Black-capped Chickadee. While further investigation will be required to explore whether there exists a causal link between this virus and AKD, this study demonstrates that poecivirus is not geographically restricted to Alaska, but rather occurs elsewhere in North America.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-20-00017","usgsCitation":"Zylberberg, M., Van Hemert, C.R., Handel, C.M., Liu, R., and DeRisi, J.L., 2021, Poecivirus is present in individuals with beak deformities in seven species of North American birds: Journal of Wildlife Diseases, v. 57, no. 2, p. 273-281, https://doi.org/10.7589/JWD-D-20-00017.","productDescription":"9 p.","startPage":"273","endPage":"281","ipdsId":"IP-112325","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":453821,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/jwd-d-20-00017","text":"Publisher Index Page"},{"id":436560,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YQCHSR","text":"USGS data release","linkHelpText":"Data Associated with Poecivirus Testing of Individual Birds with Beak Deformities"},{"id":382845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.6201171875,\n 43.13306116240612\n ],\n [\n -69.43359375,\n 44.02442151965934\n ],\n [\n -67.32421875,\n 44.49650533109348\n ],\n [\n -66.9287109375,\n 45.089035564831036\n ],\n [\n -67.7197265625,\n 45.79816953017265\n ],\n [\n -67.763671875,\n 47.010225655683485\n ],\n [\n -68.73046875,\n 47.249406957888446\n ],\n [\n -69.0380859375,\n 47.517200697839414\n ],\n [\n -70.57617187499999,\n 45.644768217751924\n ],\n [\n -71.2353515625,\n 45.336701909968134\n ],\n [\n -70.7958984375,\n 43.389081939117496\n ],\n [\n -70.6201171875,\n 43.13306116240612\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.4736328125,\n 54.49556752187406\n ],\n [\n -129.9462890625,\n 56.07203547180089\n ],\n [\n -135.439453125,\n 59.82273188377389\n ],\n [\n -137.373046875,\n 58.88194208135912\n ],\n [\n -139.130859375,\n 60.34869562531862\n ],\n [\n -140.9326171875,\n 60.30518536282736\n ],\n [\n -141.0205078125,\n 69.65708627301174\n ],\n [\n -157.10449218749997,\n 71.46912418989677\n ],\n [\n -166.640625,\n 68.83180177092166\n ],\n [\n -168.3984375,\n 65.53117097417717\n ],\n [\n -166.5087890625,\n 61.58549218152362\n ],\n [\n -167.6953125,\n 60.13056361691419\n ],\n [\n -158.8623046875,\n 57.68066002977235\n ],\n [\n -165.10253906249997,\n 54.648412502316695\n ],\n [\n -174.7265625,\n 52.214338608258196\n ],\n [\n -174.1552734375,\n 51.56341232867588\n ],\n [\n -152.40234375,\n 56.92099675839107\n ],\n [\n -147.0849609375,\n 59.80063426102869\n ],\n [\n -140.4052734375,\n 59.60109549032134\n ],\n [\n -135.263671875,\n 55.52863052257191\n ],\n [\n -131.1767578125,\n 54.265224078605684\n ],\n [\n -130.4736328125,\n 54.49556752187406\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zylberberg, Maxine","contributorId":181767,"corporation":false,"usgs":false,"family":"Zylberberg","given":"Maxine","email":"","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":809464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":809465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":809466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Rachel","contributorId":248590,"corporation":false,"usgs":false,"family":"Liu","given":"Rachel","email":"","affiliations":[{"id":49956,"text":"University of California San Francisco","active":true,"usgs":false}],"preferred":false,"id":809467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeRisi, Joseph L.","contributorId":172863,"corporation":false,"usgs":false,"family":"DeRisi","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":27105,"text":"University of California San Francisco; Howard Hughes Medical Institute","active":true,"usgs":false}],"preferred":false,"id":809468,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218672,"text":"70218672 - 2021 - Field trials to test new trap technologies for monitoring Culex populations and the efficacy of the biopesticide formulation VectoMax® FG for control of larval Culex quinquefasciatus in the Alaka'i Plateau, Kaua'i, Hawaii","interactions":[],"lastModifiedDate":"2021-03-04T14:19:00.460784","indexId":"70218672","displayToPublicDate":"2021-01-18T08:15:54","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5948,"text":"Hawaii Cooperative Studies Unit Technical Report Series","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"96","title":"Field trials to test new trap technologies for monitoring Culex populations and the efficacy of the biopesticide formulation VectoMax® FG for control of larval Culex quinquefasciatus in the Alaka'i Plateau, Kaua'i, Hawaii","docAbstract":"

Mosquito-borne avian malaria Plasmodium relictum is a key limiting factor for endemic Hawaiian forest birds. In the past decade, populations of Kaua‘i’s endemic forest birds have been in a steep decline due to an increase in malaria transmission. To evaluate the use of available biopesticides for short-term mosquito control we tested the efficacy of the biopesticide VectoMax® FG against Culex quinquefasciatus larvae in naturally occurring perched stream pools, seeps, and ground pools in forest bird habitat in Kaua‘i’s remote Alaka‘i Plateau. We also tested the efficacy of conventional and newer traps and attractants for the capture of adult Culex quinquefasciatus in Hawaiian rain forests and monitored adult mosquito populations at the Kaua‘i field site. During field trials conducted on Hawai‘i Island we captured more Culex quinquefasciatus in gravid traps than in host-seeking traps. Among the host-seeking traps, Biogents BG-Sentinel 2 traps baited with CO2 and BG-Lure caught more Culex quinquefasciatus and Aedes japonicus japonicus than CDC (Centers for Disease Control and Prevention) traps baited with compressed CO2, CDC traps baited with dry ice, or Biogents BG-Sentinel 2 traps baited with BG-Lure and octenol but not CO2. Both Biogents BG-Sentinel 2 and CDC miniature traps baited with compressed CO2 or dry ice captured significantly more Culex quinquefasciatus than Biogents BG-Sentinel 2 traps baited with octenol and BG-Lure but without CO2. We also found that gravid traps baited with timothy hay infusions caught significantly more Culex quinquefasciatus than traps baited with either a commercial gravid mosquito attractant or an infusion made with pelleted rabbit feed. Traps baited with an infusion of timothy hay and donkey dung were the most effective for Culex quinquefasciatus. On Kaua‘i, we operated Biogents BG-Sentinel 2 traps baited with CO2 and gravid traps and captured 29 mosquitoes in 182 trap-nights from October–November 2016 and 126 mosquitoes in 254 trap-nights from September–October 2017. Contrary to our findings on Hawai‘i Island, most mosquitoes (96%) were captured in Biogents BG-Sentinel 2 traps indicating considerable site-to-site variability in trap efficacy. Weekly adult trapping on Kaua‘i indicates Culex quinquefasciatus populations peaked in October but provided no reliable evidence that larval control had any significant effect on adult populations. Overall, VectoMax® FG was very effective at larval control reducing larval abundance by 95% at 48 hours and out to 1-week post-treatment. Treatment was most effective (100% at 1-week post-treatment) in perched pools when early instar larvae were present and least effective in seeps when pupae and fourth instar larvae were most common. Although post-treatment counts fluctuated dramatically, we observed no evidence of population level impacts to the two most common non-target invertebrates: the water strider Microvelia vagans and endemic damselfly naiads (Megalagrion sp.). VectoMax® FG appears to be an effective and safe biopesticide for the local control of Culex quinquefasciatus larvae in forest bird habitat in the Alaka‘i Plateau. Further studies will be necessary to determine if local larval control significantly reduces adult mosquito abundance and, ultimately, avian malaria transmission, and if there are long term, non-target effects associated with repeated use of VectoMax® FG in natural Hawaiian waterways.

","language":"English","publisher":"University of Hawaii","collaboration":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo; State of Hawai‘i, Division of Forestry and Wildlife; Kauai Forest Bird Restoration Project; DOI/US Fish and Wildlife Service","usgsCitation":"Lapointe, D., Black, T., Riney, M., Tredinnick, G., Crampton, L.H., and Hite, J., 2021, Field trials to test new trap technologies for monitoring Culex populations and the efficacy of the biopesticide formulation VectoMax® FG for control of larval Culex quinquefasciatus in the Alaka'i Plateau, Kaua'i, Hawaii: Hawaii Cooperative Studies Unit Technical Report Series 96, iv, 34 p.","productDescription":"iv, 34 p.","ipdsId":"IP-120240","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":383822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383813,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5384"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.05432128906247,\n 21.71867980570313\n ],\n [\n -159.03259277343753,\n 21.71867980570313\n ],\n [\n -159.03259277343753,\n 22.416106708771768\n ],\n [\n -160.05432128906247,\n 22.416106708771768\n ],\n [\n -160.05432128906247,\n 21.71867980570313\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"LaPointe, Dennis A. 0000-0002-6323-263X dlapointe@usgs.gov","orcid":"https://orcid.org/0000-0002-6323-263X","contributorId":150365,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","middleInitial":"A.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":811317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, Theodore V.","contributorId":253158,"corporation":false,"usgs":false,"family":"Black","given":"Theodore V.","affiliations":[{"id":50501,"text":"USGS-PIERC (former)","active":true,"usgs":false}],"preferred":false,"id":811318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riney, Michael","contributorId":253160,"corporation":false,"usgs":false,"family":"Riney","given":"Michael","email":"","affiliations":[{"id":50501,"text":"USGS-PIERC (former)","active":true,"usgs":false}],"preferred":false,"id":811319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tredinnick, Grace","contributorId":245748,"corporation":false,"usgs":false,"family":"Tredinnick","given":"Grace","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":811320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crampton, Lisa H.","contributorId":192559,"corporation":false,"usgs":false,"family":"Crampton","given":"Lisa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":811321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hite, Justin","contributorId":244920,"corporation":false,"usgs":false,"family":"Hite","given":"Justin","affiliations":[{"id":49024,"text":"Kaua‘i Forest Bird Recovery Project, Pacific Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":811322,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226773,"text":"70226773 - 2021 - Mars: Abundant recurring slope lineae (RSL) following the planet-encircling dust event (PEDE) of 2018","interactions":[],"lastModifiedDate":"2021-12-13T13:12:41.351622","indexId":"70226773","displayToPublicDate":"2021-01-18T07:11:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5718,"text":"Journal of Geophysical Research: Planets","onlineIssn":"2169-9100","active":true,"publicationSubtype":{"id":10}},"title":"Mars: Abundant recurring slope lineae (RSL) following the planet-encircling dust event (PEDE) of 2018","docAbstract":"

Recurring slope lineae (RSL) are dark linear markings on Mars that regrow annually and likely originate from the flow of either liquid water or granular material. Following the great dust storm (or planet-encircling dust event, PEDE) of Mars year (MY) 34, Mars Reconnaissance Orbiter/High Resolution Imaging Science Experiment has seen many more candidate RSL than in typical Mars years. They have been imaged at more than 285 unique locations from August 2018 (when the atmosphere was clearing as the PEDE decayed) to August 2019, about half (157) of which are locations where RSL have not been documented previously. In MY34, 150 active RSL sites were identified in the southern middle latitudes (SML, -60° to -30°), whereas an average of 36 active sites were observed in each previous year (MY28–33). Post-PEDE RSL are also present during southern summer over a wider range of latitude, slope aspect, and Ls (areocentric longitude of the sun) than in prior years. These RSL sites usually show evidence for recent dust deposition: obscuration of relatively dark areas, an overall brighter and redder surface than in prior years, and dust devil tracks, which indicate dust lifting by several mechanisms. We speculate that dust-lifting processes may initiate and sustain RSL activity. The RSL may form from flows of dust (perhaps clumped) and/or sand that is destabilized by dust movement or directly mobilized by dust devils. If this is the case, then the otherwise puzzling recurrence and year-to-year variability of RSL activity can be at least partly explained. The dust replenishment varies from year to year, which could explain interannual variations in RSL activity.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JE006575","usgsCitation":"McEwen, A.S., Schaefer, E.I., Dundas, C., Sutton, S.S., Tamppari, L.K., and Chojnacki, M., 2021, Mars: Abundant recurring slope lineae (RSL) following the planet-encircling dust event (PEDE) of 2018: Journal of Geophysical Research: Planets, v. 126, no. 4, e2020JE006575, 12 p., https://doi.org/10.1029/2020JE006575.","productDescription":"e2020JE006575, 12 p.","ipdsId":"IP-117004","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":453824,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020je006575","text":"Publisher Index Page"},{"id":392785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"126","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":828204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Ethan I","contributorId":269971,"corporation":false,"usgs":false,"family":"Schaefer","given":"Ethan","email":"","middleInitial":"I","affiliations":[{"id":33186,"text":"Western University","active":true,"usgs":false}],"preferred":false,"id":828205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":828206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, Sarah S.","contributorId":203706,"corporation":false,"usgs":false,"family":"Sutton","given":"Sarah","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":828207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tamppari, Leslie K","contributorId":269973,"corporation":false,"usgs":false,"family":"Tamppari","given":"Leslie","email":"","middleInitial":"K","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":828208,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chojnacki, Matthew","contributorId":201621,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":828209,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237711,"text":"70237711 - 2021 - Assessing the feasibility of managed aquifer recharge in California","interactions":[],"lastModifiedDate":"2022-10-21T13:20:08.072357","indexId":"70237711","displayToPublicDate":"2021-01-16T06:40:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the feasibility of managed aquifer recharge in California","docAbstract":"

With aquifers around the world stressed by over-extraction, water managers are increasingly turning to managed aquifer recharge (MAR), directly replenishing groundwater resources through injection wells, recharge basins, or other approaches. While there has been progress in understanding the geological and infrastructure-related considerations to make MAR more effective, critical evaluations of its institutional design and implementation are limited. This study assesses MAR projects, using a case study of projects proposed by groundwater sustainability agencies (GSAs) in California to comply with the state's Sustainable Groundwater Management Act of 2014; these projects will almost double the number of MAR projects in the United States. We draw on content analysis of groundwater sustainability plans that propose these projects. We first assess the types of recharge projects proposed and the stated aims of the projects, to assess when and why agencies are turning to MAR as a solution. We find that recharge basins are by far the most common approach, and that GSAs hope these basins will improve water table levels, reduce subsidence, and improve water quality. We then analyze potential barriers to project implementation and assess the projects' ability to achieve the stated goals. Primary concerns identified include a potential lack of available water, a potentially challenging legal framework, and minimal consideration of funding and cumulative land needs. To conclude, we discuss broader considerations for ensuring that MAR is an effective water management tool.

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\"}}]}","volume":"57","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Ulibarri, Nicola","contributorId":298144,"corporation":false,"usgs":false,"family":"Ulibarri","given":"Nicola","email":"","affiliations":[{"id":64499,"text":"University of California - Irvine","active":true,"usgs":false}],"preferred":false,"id":855156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Escobedo Garcia, Nataly","contributorId":298145,"corporation":false,"usgs":false,"family":"Escobedo Garcia","given":"Nataly","email":"","affiliations":[{"id":64499,"text":"University of California - Irvine","active":true,"usgs":false}],"preferred":false,"id":855157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Rebecca L","contributorId":298146,"corporation":false,"usgs":false,"family":"Nelson","given":"Rebecca","email":"","middleInitial":"L","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":855158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":855159,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCarty, Ryan J","contributorId":298147,"corporation":false,"usgs":false,"family":"McCarty","given":"Ryan","email":"","middleInitial":"J","affiliations":[{"id":64499,"text":"University of California - Irvine","active":true,"usgs":false}],"preferred":false,"id":855160,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217278,"text":"ofr20201128 - 2021 - Nearshore water quality and coral health indicators along the west coast of the Island of Hawaiʻi, 2010–2014","interactions":[],"lastModifiedDate":"2021-01-15T23:40:02.79231","indexId":"ofr20201128","displayToPublicDate":"2021-01-15T11:57:31","publicationYear":"2021","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":"2020-1128","displayTitle":"Nearshore Water Quality and Coral Health Indicators Along the West Coast of the Island of Hawaiʻi, 2010–2014","title":"Nearshore water quality and coral health indicators along the west coast of the Island of Hawaiʻi, 2010–2014","docAbstract":"

Coral reefs worldwide are experiencing rapid degradation in response to climate and land-use change, namely effects of warming sea-surface temperatures, contaminant runoff, and overfishing. Extensive coral bleaching caused by the steady rise of sea-surface temperatures is projected to increase, but our understanding and ability to predict where corals may be most resilient to this effect is limited owing to a lack of knowledge of nearshore habitat conditions and the role of compromised coral health in preconditioning bleaching vulnerability. On high islands and most atolls, fresh to brackish groundwater discharges to the coast through the beach face and seafloor, where it mixes with marine waters and commonly creates cool estuarine nearshore waters that are important to wildlife and ecosystem services that benefit people. Here, we summarize results of a study to evaluate the ecosystem services and effects of groundwater on coral reef health and the potential role of groundwater to maintain cold-water refugia that can buffer corals from thermal stress during temperature maxima. Across 75 kilometers of the west coastline of the Island of Hawaiʻi, paired time-series and discrete measurements of water quality, coral-community and colony size structures, and coral health indicators, including bleaching, at 33 stations grouped into 12 study areas were made from July 2010 to December 2013. The results show that nearshore water temperatures are depressed by groundwater across extensive areas of the nearshore. Persistent cold-water refugia ranging from 1 to 5 degrees Celsius below surrounding marine water temperatures are shown to be associated with identified groundwater inputs. Significant correlations were found between metrics of coral health and water temperature. Because areas of temperature refugia were notable along the west coast of the Island of Hawaiʻi and are identified by ecologists as increasingly important to valued wildlife, improved understanding of groundwater flux to the long-term resilience of coral reefs is likely important. In particular, evaluating the extent that the magnitude and timing of groundwater discharge across the nearshore mitigate thermal bleaching stress may help inform the fate of coral reefs projected to experience rising sea-surface temperatures worldwide.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201128","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Grossman, E.E., Marrack, L., and vanArendonk, N.R., 2021, Nearshore water quality and coral health indicators along the west coast of the Island of Hawaiʻi, 2010–2014: U.S. Geological Survey Open-File Report 2020–1128, 45 p., https://doi.org/10.3133/ofr20201128.","productDescription":"Report: vii, 45 p.; Data Releases","numberOfPages":"45","onlineOnly":"Y","ipdsId":"IP-112588","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":382234,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74X569K","linkHelpText":"Coral cover and health determined from seafloor photographs and diver observations, West Hawai'i, 2010-2011"},{"id":382235,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154FJQ","linkHelpText":"Nearshore water properties and estuary conditions along the coral reef coastline of west Hawaii Island (2010-2014)"},{"id":382232,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1128/covrthb.jpg"},{"id":382233,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1128/ofr20201128.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawaii, Kaloko-Honokōhau National Historical Park, Puʻuhonua O Hōnaunau National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.05006217956543,\n 19.666513211037795\n ],\n [\n -156.01581573486328,\n 19.666513211037795\n ],\n [\n -156.01581573486328,\n 19.6935061404277\n ],\n [\n -156.05006217956543,\n 19.6935061404277\n ],\n [\n -156.05006217956543,\n 19.666513211037795\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.91865539550778,\n 19.406980567050198\n ],\n [\n -155.90157508850095,\n 19.406980567050198\n ],\n [\n -155.90157508850095,\n 19.42357528523296\n ],\n [\n -155.91865539550778,\n 19.42357528523296\n ],\n [\n -155.91865539550778,\n 19.406980567050198\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Pacific Coastal and Marine Science Center
U.S. Geological Survey
Pacific Coastal and Marine Science Center
2885 Mission St.
Santa Cruz, CA 95060

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-01-15","noUsgsAuthors":false,"publicationDate":"2021-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":808244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marrack, Lisa","contributorId":215564,"corporation":false,"usgs":false,"family":"Marrack","given":"Lisa","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":808245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"vanArendonk, Nathan R. 0000-0003-3911-995X","orcid":"https://orcid.org/0000-0003-3911-995X","contributorId":219469,"corporation":false,"usgs":false,"family":"vanArendonk","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":808246,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217305,"text":"70217305 - 2021 - Seed production patterns of surviving Sierra Nevada conifers show minimal change following drought","interactions":[],"lastModifiedDate":"2021-01-18T13:39:10.353799","indexId":"70217305","displayToPublicDate":"2021-01-15T07:37:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Seed production patterns of surviving Sierra Nevada conifers show minimal change following drought","docAbstract":"

Reproduction is a key component of ecological resilience in forest ecosystems, so understanding how seed production is influenced by extreme drought is key to understanding forest recovery trajectories. If trees respond to mortality-inducing drought by preferentially allocating resources for reproduction, the recovery of the stand to pre-drought conditions may be enhanced accordingly. We used a 20-year annual seed capture data set to investigate whether seed production by three tree genera commonly found in the Sierra Nevada (Abies, Pinus, and Calocedrus) was correlated with variation in local weather, which included an extreme drought spanning multiple years. We tested whether average seed production differed during the drought years, and whether annual seed counts could be explained by three weather variables: spring temperature, annual precipitation, and summer climatic water deficit (CWD). We fit models testing for four separate effects: (1) a priming year model (weather 1 year prior to reproductive bud initiation), (2) a bud initiation model (weather in the year of reproductive bud initiation), (3) a pollination year model (weather in the year of pollination), and (4) maturation year model (weather in the year of seed maturation). For genera with two-year reproductive cycles, the pollination and maturation models were combined. We found support for the summer CWD Abies maturation year model, which suggested higher seed outputs immediately following dry summer conditions. The spring temperature pollination year model was selected for Pinus, which suggested that seed output is higher following warm spring weather during pollination. The annual precipitation priming year model was selected for Calocedrus, which showed a negative association between seed production and wetter conditions two years prior to seed production. More parent tree basal area resulted in higher seed output for all genera, though the confidence intervals overlapped 0 for Calocedrus. Permutation tests sugested there was no systematic difference in mean seed production during the drought after accounting for live tree basal area, regardless of genus. These results highlight the variability in response across genera, and suggest that the influence of seed production on forest recovery following drought-related mortality may depend on affected species and the timing of the mortality event within the masting cycle. A greater understanding of species-level masting to drought stress is needed to more precisely predict community-level recovery following drought.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2020.118598","usgsCitation":"Wright, M., van Mantgem, P., Stephenson, N.L., Das, A., and Keeley, J., 2021, Seed production patterns of surviving Sierra Nevada conifers show minimal change following drought: Forest Ecology and Management, v. 480, 118598, 21 p., https://doi.org/10.1016/j.foreco.2020.118598.","productDescription":"118598, 21 p.","ipdsId":"IP-116685","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":436562,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B425MF","text":"USGS data release","linkHelpText":"Seed source, not drought, determines patterns of seed production in Sierra Nevada conifers"},{"id":436561,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B425MF","text":"USGS data release","linkHelpText":"Seed source, not drought, determines patterns of seed production in Sierra Nevada conifers"},{"id":382253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.12451171875,\n 36.03133177633189\n ],\n [\n -117.68554687499999,\n 36.03133177633189\n ],\n [\n -117.68554687499999,\n 38.58252615935333\n ],\n [\n -120.12451171875,\n 38.58252615935333\n ],\n [\n -120.12451171875,\n 36.03133177633189\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"480","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808318,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808319,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808320,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217188,"text":"ofr20201136 - 2021 - Development and application of surrogate models, calculated loads, and aquatic export of carbon based on specific conductance, Big Cypress National Preserve, south Florida, 2015–17","interactions":[],"lastModifiedDate":"2021-01-15T12:46:29.556276","indexId":"ofr20201136","displayToPublicDate":"2021-01-14T12:15:00","publicationYear":"2021","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":"2020-1136","displayTitle":"Development and Application of Surrogate Models, Calculated Loads, and Aquatic Export of Carbon Based on Specific Conductance, Big Cypress National Preserve, South Florida, 2015–17","title":"Development and application of surrogate models, calculated loads, and aquatic export of carbon based on specific conductance, Big Cypress National Preserve, south Florida, 2015–17","docAbstract":"

Understanding the carbon transport within aquatic environments is crucial to quantifying global and local carbon budgets, yet limited empirical data currently (2021) exist. This report documents methodology and provides data for quantifying the aquatic export of carbon from a cypress swamp within Big Cypress National Preserve and is part of a larger carbon budget study. The U.S. Geological Survey operated two continuous monitoring stations, 022889001 and 022909471, that measured flow volume and water quality within the Big Cypress National Preserve in South Florida from September 2015 to October 2017. Station 022889001 represented the flow into the study area and station 022909471 represented the flow out of the study area. Site-specific regression models were developed by using continuously measured specific conductance and concomitant, discretely collected dissolved organic carbon, dissolved inorganic carbon, and particulate carbon samples to calculate total carbon (TC) concentrations at 15-minute intervals.

Calculated TC concentrations typically increased as flow was decreasing and decreased as flow was increasing. TC loads were calculated by multiplying concentrations and flow volume, and the difference between the load calculations for input/output locations of the swamp flow system was used to determine the aquatic carbon export from the study area.

Calculated monthly TC loads ranged from 0 metric tons in spring 2017 at both stations to 3,145 and 7,821 metric tons in September 2017 at 022889001 and 022909471, respectively. During 2016, the annual loads were 10,479 and 15,243 metric tons at 022889001 and 022909471, respectively. Calculated monthly aquatic TC exports from the study area ranged from −0.7 gram of carbon per square meter in May 2016 to 44.1 grams of carbon per square meter during September 2017. The carbon export from the study area varied monthly, increased as flow increased, and was greatly influenced by Hurricane Irma in September 2017. The aquatic TC export from the Sweetwater Strand study area was 42.0 grams of carbon per square meter per year in 2016, which is substantially (about 15 times) larger than the estimated overall mean riverine carbon export per square meter for the eastern United States; however, it was also less than the monthly export of carbon in September 2017. The monthly aquatic carbon export from the study area in September 2017 alone was greater than the aquatic carbon export from all of 2016, which is largely the result of the substantial increase in flow attributed to Hurricane Irma.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201136","collaboration":"Greater Everglades Priority Ecosystem Science Program","usgsCitation":"Booth, A.C., 2021, Development and application of surrogate models, calculated loads, and aquatic export of carbon based on specific conductance, Big Cypress National Preserve, South Florida, 2015–17: U.S. Geological Survey Open-File Report 2020–1136, 14 p., https://doi.org/10.3133/ofr20201136.","productDescription":"Report: v, 14 p.; Data Release; 2 Appendixes","onlineOnly":"Y","ipdsId":"IP-112929","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":382104,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1136/appendix2.rtf","text":"Appendix 2","size":"960 kB","description":"OFR 2020-1136 Appendix 2 rtf file","linkHelpText":"Model Archive for Total Carbon Concentration at U.S. Geological Survey Station 022909471: Loop Road Culverts Monroe Station to Florida Trail, Florida (rtf file)"},{"id":382062,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1136/coverthb.jpg"},{"id":382063,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1136/ofr20201136.pdf","text":"Report","size":"10.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1136"},{"id":382064,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EXZLJT","text":"USGS data release","linkHelpText":"Calculated carbon concentrations, loads, and export in Big Cypress National Preserve, South Florida, 2015-2017"},{"id":382101,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1136/appendix1.pdf","text":"Appendix 1","size":"424 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1136 Appendix 1 pdf file","linkHelpText":"Model Archive for Total Carbon Concentration at U.S. Geological Survey Station 022889001: Tamiami Canal 11 Mile Road to Monroe Station, Florida"},{"id":382102,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1136/appendix2.pdf","text":"Appendix 2","size":"356 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1136 Appendix 2 pdf file","linkHelpText":"Model Archive for Total Carbon Concentration at U.S. Geological Survey Station 022909471: Loop Road Culverts Monroe Station to Florida Trail, Florida"},{"id":382103,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1136/appendix1.rtf","text":"Appendix 1","size":"2.91 MB","description":"OFR 2020-1136 Appendix 1 rtf file","linkHelpText":"Model Archive for Total Carbon Concentration at U.S. Geological Survey Station 022889001: Tamiami Canal 11 Mile Road to Monroe Station, Florida (rtf file)"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.22604370117186,\n 25.812254545273433\n ],\n [\n -80.8978271484375,\n 25.812254545273433\n ],\n [\n -80.8978271484375,\n 26.058016587844723\n ],\n [\n -81.22604370117186,\n 26.058016587844723\n ],\n [\n -81.22604370117186,\n 25.812254545273433\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559

","tableOfContents":"","publishedDate":"2021-01-14","noUsgsAuthors":false,"publicationDate":"2021-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Booth, Amanda 0000-0002-2666-2366 acbooth@usgs.gov","orcid":"https://orcid.org/0000-0002-2666-2366","contributorId":5432,"corporation":false,"usgs":true,"family":"Booth","given":"Amanda","email":"acbooth@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807908,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70220385,"text":"70220385 - 2021 - Water-quality change following remediation using structural bulkheads in abandoned draining mines, upper Arkansas River and upper Animas River, Colorado USA","interactions":[],"lastModifiedDate":"2021-05-10T12:26:09.836894","indexId":"70220385","displayToPublicDate":"2021-01-14T07:19:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Water-quality change following remediation using structural bulkheads in abandoned draining mines, upper Arkansas River and upper Animas River, Colorado USA","docAbstract":"

Water-quality effects after remediating abandoned draining mine tunnels using structural bulkheads were examined in two study areas in Colorado, USA. A bulkhead was installed in the Dinero mine tunnel in 2009 to improve water quality in Lake Fork Creek, a tributary to the upper Arkansas River. Although bulkhead installation improved pH, and manganese and zinc concentrations and loads at the Dinero mine tunnel, water-quality degradation was observed at the nearby Nelson tunnel. Only manganese concentrations improved in Lake Fork Creek downstream from the tunnel. To improve water quality in Cement Creek, a tributary of the Animas River, multiple bulkheads were installed in mine tunnels during 1996–2003 and a water treatment plant operated from 1989 to 2003 to treat drainage from several draining tunnels. After bulkhead installation and cessation of active water treatment (about 2003), water quality (pH and dissolved copper, manganese, and zinc concentrations) degraded at the mouth of Cement Creek. The patterns and timing were similar to post-bulkhead increased discharge and trace-metal loads at non-bulkheaded tunnels indicating the bulkheads might have been the cause. Pre-1989 water-quality data for Cement Creek are scarce, although limited historical data indicate possible, slight improvement in only manganese concentrations after bulkhead installation. Increased zinc loads in Lake Fork Creek and decreased pH through time in Cement Creek may indicate increased groundwater discharge to the streams after bulkhead installation. In these two study areas, bulkheads did not substantially improve downstream water quality.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2021.104872","usgsCitation":"Walton-Day, K., Mast, M.A., and Runkel, R.L., 2021, Water-quality change following remediation using structural bulkheads in abandoned draining mines, upper Arkansas River and upper Animas River, Colorado USA: Applied Geochemistry, v. 127, 104872, 13 p., https://doi.org/10.1016/j.apgeochem.2021.104872.","productDescription":"104872, 13 p.","ipdsId":"IP-109432","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":453847,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2021.104872","text":"Publisher Index Page"},{"id":436563,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FE667O","text":"USGS data release","linkHelpText":"Water quality and discharge data from draining mine tunnels near Silverton, Colorado 1993-2015"},{"id":385538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Upper Arkansas River, Upper Animas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.51519775390624,\n 39.15775215369094\n ],\n [\n -106.19659423828125,\n 39.15775215369094\n ],\n [\n -106.19659423828125,\n 39.38526381099774\n ],\n [\n -106.51519775390624,\n 39.38526381099774\n ],\n [\n -106.51519775390624,\n 39.15775215369094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":184043,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815319,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217337,"text":"70217337 - 2021 - Assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States","interactions":[],"lastModifiedDate":"2021-02-04T14:31:23.035113","indexId":"70217337","displayToPublicDate":"2021-01-13T11:02:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States","docAbstract":"

This study assesses the potential impact of drought on arsenic exposure from private domestic wells by using a previously developed statistical model that predicts the probability of elevated arsenic concentrations (>10 μg per liter) in water from domestic wells located in the conterminous United States (CONUS). The application of the model to simulate drought conditions used systematically reduced precipitation and recharge values. The drought conditions resulted in higher probabilities of elevated arsenic throughout most of the CONUS. While the increase in the probability of elevated arsenic was generally less than 10% at any one location, when considered over the entire CONUS, the increase has considerable public health implications. The population exposed to elevated arsenic from domestic wells was estimated to increase from approximately 2.7 million to 4.1 million people during drought. The model was also run using total annual precipitation and groundwater recharge values from the year 2012 when drought existed over a large extent of the CONUS. This simulation provided a method for comparing the duration of drought to changes in the predicted probability of high arsenic in domestic wells. These results suggest that the probability of exposure to arsenic concentrations greater than 10 μg per liter increases with increasing duration of drought. These findings indicate that drought has a potentially adverse impact on the arsenic hazard from domestic wells throughout the CONUS.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b05835","usgsCitation":"Lombard, M.A., Daniel, J., Jeddy, Z., Hay, L., and Ayotte, J.D., 2021, Assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States: Environmental Science & Technology, v. 55, no. 3, p. 1822-1831, https://doi.org/10.1021/acs.est.9b05835.","productDescription":"10 p.","startPage":"1822","endPage":"1831","ipdsId":"IP-109293","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":453853,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.9b05835","text":"Publisher Index Page"},{"id":436586,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TU0R2T","text":"USGS data release","linkHelpText":"Datasets for assessing the impact of drought on arsenic exposure from private domestic wells in the 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Johnni","contributorId":247808,"corporation":false,"usgs":false,"family":"Daniel","given":"Johnni","email":"","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":808396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeddy, Zuha","contributorId":247809,"corporation":false,"usgs":false,"family":"Jeddy","given":"Zuha","email":"","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":808397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hay, Lauren 0000-0003-3763-4595","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":205020,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":808398,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808399,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217248,"text":"70217248 - 2021 - Monitoring wetland water quality related to livestock grazing in amphibian habitats","interactions":[],"lastModifiedDate":"2021-01-14T13:15:40.588803","indexId":"70217248","displayToPublicDate":"2021-01-13T07:09:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring wetland water quality related to livestock grazing in amphibian habitats","docAbstract":"

Land use alteration such as livestock grazing can affect water quality in habitats of at-risk wildlife species. Data from managed wetlands are needed to understand levels of exposure for aquatic life stages and monitor grazing-related changes afield. We quantified spatial and temporal variation in water quality in wetlands occupied by threatened Oregon spotted frog (Rana pretiosa) at Klamath Marsh National Wildlife Refuge in Oregon, United States (US). We used analyses for censored data to evaluate the importance of habitat type and grazing history in predicting concentrations of nutrients, turbidity, fecal indicator bacteria (FIB; total coliforms, Escherichia coli (E. coli), and enterococci), and estrogenicity, an indicator of estrogenic activity. Nutrients (orthophosphate and ammonia) and enterococci varied over time and space, while E. coli, total coliforms, turbidity, and estrogenicity were more strongly associated with local livestock grazing metrics. Turbidity was correlated with several grazing-related constituents and may be particularly useful for monitoring water quality in landscapes with livestock use. Concentrations of orthophosphate and estrogenicity were elevated at several sites relative to published health benchmarks, and their potential effects on Rana pretiosa warrant further investigation. Our data provided an initial assessment of potential exposure of amphibians to grazing-related constituents in western US wetlands. Increased monitoring of surface water quality and amphibian population status in combination with controlled laboratory toxicity studies could help inform future research and targeted management strategies for wetlands with both grazing and amphibians of conservation concern.


","language":"English","publisher":"Springer","doi":"10.1007/s10661-020-08838-6","usgsCitation":"Smalling, K., Rowe, J., Pearl, C., Iwanowicz, L., Givens, C., Anderson, C.W., McCreary, B., and Adams, M.J., 2021, Monitoring wetland water quality related to livestock grazing in amphibian habitats: Environmental Monitoring and Assessment, v. 193, 58, 17 p., https://doi.org/10.1007/s10661-020-08838-6.","productDescription":"58, 17 p.","ipdsId":"IP-118116","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":453861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-020-08838-6","text":"Publisher Index Page"},{"id":382146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Klamath Marsh National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.82052612304688,\n 42.809506838324204\n ],\n [\n -121.54861450195311,\n 42.83066008563709\n ],\n [\n -121.56509399414061,\n 43.007659910414695\n ],\n [\n -121.81503295898436,\n 43.01569327500512\n ],\n [\n -121.82052612304688,\n 42.809506838324204\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"193","noUsgsAuthors":false,"publicationDate":"2021-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowe, Jennifer 0000-0002-5253-2223 jrowe@usgs.gov","orcid":"https://orcid.org/0000-0002-5253-2223","contributorId":172670,"corporation":false,"usgs":true,"family":"Rowe","given":"Jennifer","email":"jrowe@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":808142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":808143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":79382,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":808144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":205657,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808146,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":808147,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":808148,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70217226,"text":"70217226 - 2021 - Widespread use of the nitrification inhibitor nitrapyrin: Assessing benefits and costs to agriculture, ecosystems, and environmental health","interactions":[],"lastModifiedDate":"2021-05-03T19:21:42.325383","indexId":"70217226","displayToPublicDate":"2021-01-12T16:43:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Widespread use of the nitrification inhibitor nitrapyrin: Assessing benefits and costs to agriculture, ecosystems, and environmental health","docAbstract":"

Agricultural production and associated applications of nitrogen (N) fertilizers have increased dramatically in the last century, and current projections to 2050 show that demands will continue to increase as the human population grows. Applied in both organic and inorganic fertilizer forms, N is an essential nutrient in crop productivity. Increased fertilizer applications, however, create the potential for more N loss before plant uptake. One strategy for minimizing N loss is the use of enhanced efficiency fertilizers, fortified with a nitrification inhibitor, such as nitrapyrin. In soils and water, nitrapyrin inhibits the activity of ammonia monooxygenase, a microbial enzyme that catalyzes the first step of nitrification from ammonium to nitrite. Potential benefits of using nitrification inhibitors range from reduced nitrate leaching and nitrous oxide emissions to increased crop yield. The extent of these benefits, however, depends on environmental conditions and management practices. Thus, such benefits are not always realized. Additionally, nitrapyrin has been shown to transport off-field, and it is unknown what effects environmental nitrapyrin could have on nontarget organisms and the ecological nitrogen cycle. Here, we review the agronomic and environmental benefits and costs of nitrapyrin use and present a series of research questions and considerations to be addressed with future nitrification inhibitor research.

","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.0c05732","usgsCitation":"Woodward, E., Edwards, T.M., Givens, C.E., Kolpin, D., and Hladik, M.L., 2021, Widespread use of the nitrification inhibitor nitrapyrin: Assessing benefits and costs to agriculture, ecosystems, and environmental health: Environmental Science and Technology, v. 55, no. 3, p. 1345-1353, https://doi.org/10.1021/acs.est.0c05732.","productDescription":"9 p.","startPage":"1345","endPage":"1353","ipdsId":"IP-122016","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":382528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ja/70217226/coverthb.jpg"}],"volume":"55","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodward, Emily E. 0000-0001-9196-1349 ewoodward@usgs.gov","orcid":"https://orcid.org/0000-0001-9196-1349","contributorId":177364,"corporation":false,"usgs":true,"family":"Woodward","given":"Emily","email":"ewoodward@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Thea M. 0000-0002-6176-2872","orcid":"https://orcid.org/0000-0002-6176-2872","contributorId":241635,"corporation":false,"usgs":true,"family":"Edwards","given":"Thea","email":"","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":808113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":247691,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":205314,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808116,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217368,"text":"70217368 - 2021 - Three-dimensional distribution of residence time metrics in the glaciated United States using metamodels trained on general numerical models","interactions":[],"lastModifiedDate":"2024-09-16T22:32:11.340035","indexId":"70217368","displayToPublicDate":"2021-01-12T07:59:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional distribution of residence time metrics in the glaciated United States using metamodels trained on general numerical models","docAbstract":"

Residence time distribution (RTD) is a critically important characteristic of groundwater flow systems; however, it cannot be measured directly. RTD can be inferred from tracer data with analytical models (few parameters) or with numerical models (many parameters). The second approach permits more variation in system properties but is used less frequently than the first because large‐scale numerical models can be resource intensive. Using a novel automated approach, a set of 115 inexpensive general simulation models (GSMs) was used to create RTD metrics (fraction of young groundwater, defined as < 65 years old; mean travel time of young fraction; median travel time of old fraction; and mean path length). GSMs captured the general trends in measured tritium concentrations in 431 wells. Boosted Regression Tree metamodels were trained to predict these RTD metrics using available wall‐to‐wall hydrogeographic digital sets as explanatory features. The metamodels produced a three‐dimensional distribution of predictions throughout the glacial system that generally matched with the numerical model RTD metrics. In addition to the expected importance of aquifer thickness and recharge rate in predicting RTD metrics, two new data sets, Multi‐Order Hydrologic Position (MOHP) and hydrogeologic terrane were important predictors. These variables by themselves produced metamodels with Nash‐Sutcliffe efficiency close to the full metamodel. Metamodel predictions showed that the volume of young groundwater stored in the glaciated U.S. is about 6,000 km3, or about 0.5% of globally stored young groundwater.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020WR027335","usgsCitation":"Starn, J., Kauffman, L.J., Carlson, C.S., Reddy, J., and Fienen, M., 2021, Three-dimensional distribution of residence time metrics in the glaciated United States using metamodels trained on general numerical models: Water Resources Research, v. 57, no. 2, ee2020WR027335, 17 p., https://doi.org/10.1029/2020WR027335.","productDescription":"ee2020WR027335, 17 p.","ipdsId":"IP-111637","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488991,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020wr027335","text":"Publisher Index Page"},{"id":436588,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BNWWCU","text":"USGS data release","linkHelpText":"Data for Three-dimensional distribution of groundwater residence time metrics in the glaciated United States using metamodels trained on general numerical simulation models"},{"id":382315,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.75744400890645,\n 49.35633946833349\n ],\n [\n -125.75744400890645,\n 42.11912973645357\n ],\n [\n -67.66280273829909,\n 42.11912973645357\n ],\n [\n -67.66280273829909,\n 49.35633946833349\n ],\n [\n -125.75744400890645,\n 49.35633946833349\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Starn, J. Jeffrey 0000-0001-5909-0010 jjstarn@usgs.gov","orcid":"https://orcid.org/0000-0001-5909-0010","contributorId":1916,"corporation":false,"usgs":true,"family":"Starn","given":"J. Jeffrey","email":"jjstarn@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":false,"id":808531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Leon J. 0000-0003-4564-0362","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":206428,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","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":808533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reddy, James E. 0000-0002-6998-7267","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":206426,"corporation":false,"usgs":true,"family":"Reddy","given":"James E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808535,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217220,"text":"70217220 - 2021 - Eroding Cascadia— Sediment and solute transport and landscape denudation in western Oregon and northwestern California","interactions":[],"lastModifiedDate":"2021-10-08T11:27:36.141752","indexId":"70217220","displayToPublicDate":"2021-01-11T07:43:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Eroding Cascadia— Sediment and solute transport and landscape denudation in western Oregon and northwestern California","docAbstract":"

Riverine measurements of sediment and solute transport give empirical basin-scale estimates of bed-load, suspended-sediment, and silicate-solute fluxes for 100,000 km2 of northwestern California and western Oregon. This spatially explicit sediment budget shows the multifaceted control of geology and physiography on the rates and processes of fluvial denudation. Bed-load transport is greatest for steep basins, particularly in areas underlain by the accreted Klamath terrane. Bed-load flux commonly decreases downstream as clasts convert to suspended load by breakage and attrition, particularly for softer rock types. Suspended load correlates strongly with lithology, basin slope, precipitation, and wildfire disturbance. It is highest in steep regions of soft rocks, and our estimates suggest that much of the suspended load is derived from bed-load comminution. Dissolution, measured by basin-scale silicate-solute yield, constitutes a third of regional landscape denudation. Solute yield correlates with precipitation and is proportionally greatest in low-gradient and wet basins and for high parts of the Cascade Range, where undissected Quaternary volcanic rocks soak in 2−3 m of annual precipitation. Combined, these estimates provide basin-scale erosion rates ranging from ∼50 t ∙ km−2 ∙ yr−1 (approximately equivalent to 0.02 mm ∙ yr−1) for low-gradient basins such as the Willamette River to ∼500 t ∙ km−2 ∙ yr−1 (∼0.2 mm ∙ yr−1) for steep coastal drainages. The denudation rates determined here from modern measurements are less than those estimated by longer-term geologic assessments, suggesting episodic disturbances such as fire, flood, seismic shaking, and climate change significantly add to long-term landscape denudation.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35710.1","usgsCitation":"O'Connor, J., Mangano, J., Wise, D., and Roering, J.R., 2021, Eroding Cascadia— Sediment and solute transport and landscape denudation in western Oregon and northwestern California: Geological Society of America Bulletin, v. 133, no. 9-10, p. 1851-1874, https://doi.org/10.1130/B35710.1.","productDescription":"24 p.","startPage":"1851","endPage":"1874","ipdsId":"IP-118050","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":382127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascade range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.69482421875,\n 38.42777351132905\n ],\n [\n -121.640625,\n 38.42777351132905\n ],\n [\n -121.640625,\n 46.63435070293566\n ],\n [\n -124.69482421875,\n 46.63435070293566\n ],\n [\n -124.69482421875,\n 38.42777351132905\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"133","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2021-01-11","publicationStatus":"PW","contributors":{"authors":[{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":808085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangano, Joseph F. 0000-0003-4213-8406","orcid":"https://orcid.org/0000-0003-4213-8406","contributorId":247673,"corporation":false,"usgs":true,"family":"Mangano","given":"Joseph F.","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":808086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wise, Daniel R. 0000-0002-1215-9612","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":210599,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":808087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roering, Joshua R.","contributorId":247674,"corporation":false,"usgs":false,"family":"Roering","given":"Joshua","email":"","middleInitial":"R.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":808088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236104,"text":"70236104 - 2021 - Globally prevalent land nitrogen memory amplifies water pollution following drought years","interactions":[],"lastModifiedDate":"2022-08-29T12:27:22.037665","indexId":"70236104","displayToPublicDate":"2021-01-11T07:26:02","publicationYear":"2021","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":"Globally prevalent land nitrogen memory amplifies water pollution following drought years","docAbstract":"

Enhanced riverine delivery of terrestrial nitrogen (N) has polluted many freshwater and coastal ecosystems, degrading drinking water and marine resources. An emerging view suggests a contribution of land N memory effects—impacts of antecedent dry conditions on land N accumulation that disproportionately increase subsequent river N loads. To date, however, such effects have only been explored for several relatively small rivers covering a few episodes. Here we introduce an index for quantifying land N memory effects and assess their prevalence using regional observations and global terrestrial-freshwater ecosystem model outputs. Model analyses imply that land N memory effects are globally prevalent but vary widely in strength. Strong effects reflect large soil dissolved inorganic N (DIN) surpluses by the end of dry years. During the subsequent wetter years, the surpluses are augmented by soil net mineralization pulses, which outpace plant uptake and soil denitrification, resulting in disproportionately increased soil leaching and eventual river loads. These mechanisms are most prominent in areas with high hydroclimate variability, warm climates, and ecosystem disturbances. In 48 of the 118 basins analyzed, strong memory effects produce 43% (21%–88%) higher DIN loads following drought years than following average years. Such a marked influence supports close consideration of prevalent land N memory effects in water-pollution management efforts.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/abd1a0","usgsCitation":"Lee, M., Stock, C., Shevliakova, E., Malyshev, S., and Milly, P.C., 2021, Globally prevalent land nitrogen memory amplifies water pollution following drought years: Environmental Research Letters, v. 16, 014049, 12 p., https://doi.org/10.1088/1748-9326/abd1a0.","productDescription":"014049, 12 p.","ipdsId":"IP-097531","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":453872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/abd1a0","text":"Publisher Index Page"},{"id":405787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationDate":"2021-01-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Minjin","contributorId":177261,"corporation":false,"usgs":false,"family":"Lee","given":"Minjin","email":"","affiliations":[],"preferred":false,"id":850076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stock, Charles A.","contributorId":217586,"corporation":false,"usgs":false,"family":"Stock","given":"Charles A.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":850078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shevliakova, Elena","contributorId":201589,"corporation":false,"usgs":false,"family":"Shevliakova","given":"Elena","email":"","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":850077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malyshev, Sergey","contributorId":189177,"corporation":false,"usgs":false,"family":"Malyshev","given":"Sergey","affiliations":[],"preferred":false,"id":850080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Milly, Paul C. D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":176836,"corporation":false,"usgs":true,"family":"Milly","given":"Paul","email":"cmilly@usgs.gov","middleInitial":"C. D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":850079,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217195,"text":"70217195 - 2021 - Upland burning and grazing as strategies to offset climate-change effects on wetlands","interactions":[],"lastModifiedDate":"2021-04-08T14:28:20.228474","indexId":"70217195","displayToPublicDate":"2021-01-11T07:11:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Upland burning and grazing as strategies to offset climate-change effects on wetlands","docAbstract":"

Wetland ecosystems perform a multitude of services valued by society and provide critical habitat for migratory birds and other wildlife. Despite their importance, wetlands have been lost to different local, regional, and global drivers. Remaining wetlands are extremely sensitive to changing temperature and precipitation regimes. Management of grassland areas in wetland catchments may be an effective strategy for counteracting potentially negative impacts of climate change on wetlands. Our objective was to estimate the effects of climate changes on wetland hydrology, and to explore strategies for increasing surface-water inputs to wetlands. We coupled a field study with process-based simulation modeling of wetland-water levels. We found that climate change could decrease the number of wetlands that hold ponded water during the waterfowl breeding season by 14% under a hot wet scenario or 29% under a hot dry scenario if no upland-management actions were taken. Upland burning reduced pond losses to 9% (hot wet) and 26% (hot dry). Upland grazing resulted in the smallest loss of ponded wetlands, 6% loss under the hot-and-wet scenario and 22% loss under the hot-and-dry scenario. Overall, water inputs could be increased by either burning or grazing of upland vegetation thereby reducing pond losses during the waterfowl breeding season. While field results suggest that both grazing and burning can reduce the vegetative structure that could lead to increases in runoff in grassland catchments, our model simulations indicated that additional actions may be needed for managers to minimize future meteorologically driven water losses.


","language":"English","publisher":"Springer","doi":"10.1007/s11273-020-09778-1","usgsCitation":"McKenna, O.P., Renton, D.A., Mushet, D.M., and DeKeyser, E.S., 2021, Upland burning and grazing as strategies to offset climate-change effects on wetlands: Wetlands Ecology and Management, v. 29, https://doi.org/10.1007/s11273-020-09778-1.","productDescription":"16 p.","startPage":"208","ipdsId":"IP-112405","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":453876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11273-020-09778-1","text":"Publisher Index Page"},{"id":382084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","edition":"193","noUsgsAuthors":false,"publicationDate":"2021-01-11","publicationStatus":"PW","contributors":{"authors":[{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":807933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renton, David A. drenton@usgs.gov","contributorId":247571,"corporation":false,"usgs":false,"family":"Renton","given":"David","email":"drenton@usgs.gov","middleInitial":"A.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":807934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":807935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeKeyser, Edward S.","contributorId":247572,"corporation":false,"usgs":false,"family":"DeKeyser","given":"Edward","email":"","middleInitial":"S.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":807936,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217204,"text":"70217204 - 2021 - Thermal constraints on energy balance, behaviour and spatial distribution of grizzly bears","interactions":[],"lastModifiedDate":"2021-02-17T21:48:01.347238","indexId":"70217204","displayToPublicDate":"2021-01-10T07:08:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Thermal constraints on energy balance, behaviour and spatial distribution of grizzly bears","docAbstract":"1. Heat dissipation limit theory posits that energy available for growth and reproduction in endotherms is limited by their ability to dissipate heat. In mammals, endogenous heat production increases markedly during gestation and lactation, and thus female mammals may be subject to greater thermal constraints on energy expenditure than males. Such constraints likely have important implications for behaviour and population performance in a warming climate.\n2. We used a mechanistic simulation model based on the first principles of heat and mass transfer to study thermal constraints on activity (both timing and intensity) of captive female grizzly bears Ursus arctos in current and future climate scenarios. We then quantified the relative importance of regulatory behaviours for maintaining heat balance using GPS telemetry locations of lactating versus non-lactating female bears from Yellowstone National Park, and assessed the degree to which costs of thermoregulation constrained the distribution of sampled bears in space and time.\n3. Lactating female bears benefitted considerably more from behavioural cooling mechanisms (e.g. partial submersion in cool water or bedding on cool substrate) than non-lactating females in our simulations; the availability of water for thermoregulation increased the number of hours during which lactating females could be active by up to 60% under current climatic conditions and by up to 43% in the future climate scenario. Moreover, even in the future climate scenario, lactating bears were able to achieve heat balance 24 hr/day by thermoregulating behaviourally when water was available to facilitate cooling.\n4. The most important predictor of female grizzly bear distribution in Yellowstone, regardless of reproductive status, was elevation. However, variables associated with the thermal environment were relatively more important for predicting the distribution of lactating than non-lactating female bears.\n5. Our results suggest that the costs of heat dissipation, which are modulated by climate, may impose constraints on the behaviour and energetics of large endotherms like grizzly bears, and that access to water for cooling will likely be an increasingly important driver of grizzly bear distribution in Yellowstone as the climate continues to warm.","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.13727","usgsCitation":"Rogers, S.A., Robbins, C.T., Mathewson, P.D., Carnahan, A.M., van Manen, F.T., Haroldson, M.A., Porter, W., Rogers, T.R., Soule, T., and Long, R.A., 2021, Thermal constraints on energy balance, behaviour and spatial distribution of grizzly bears: Functional Ecology, v. 35, no. 2, p. 398-410, https://doi.org/10.1111/1365-2435.13727.","productDescription":"13 p.","startPage":"398","endPage":"410","ipdsId":"IP-117651","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":453881,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.13727","text":"Publisher Index Page"},{"id":382083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.20361328125,\n 43.58834891179792\n ],\n [\n -108.91845703124999,\n 43.58834891179792\n ],\n [\n -108.91845703124999,\n 45.0502402697946\n ],\n [\n -111.20361328125,\n 45.0502402697946\n ],\n [\n -111.20361328125,\n 43.58834891179792\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Rogers, Savannah A.","contributorId":247592,"corporation":false,"usgs":false,"family":"Rogers","given":"Savannah","email":"","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":807984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robbins, Charlie T.","contributorId":247593,"corporation":false,"usgs":false,"family":"Robbins","given":"Charlie","email":"","middleInitial":"T.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":807985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathewson, Paul D.","contributorId":247594,"corporation":false,"usgs":false,"family":"Mathewson","given":"Paul","email":"","middleInitial":"D.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":807986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carnahan, Anthony M.","contributorId":207641,"corporation":false,"usgs":false,"family":"Carnahan","given":"Anthony","email":"","middleInitial":"M.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":807987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":807988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":807989,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Porter, Warren P.","contributorId":247595,"corporation":false,"usgs":false,"family":"Porter","given":"Warren P.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":807990,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rogers, Taylor R.","contributorId":247596,"corporation":false,"usgs":false,"family":"Rogers","given":"Taylor","email":"","middleInitial":"R.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":807991,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Soule, Terrence","contributorId":247597,"corporation":false,"usgs":false,"family":"Soule","given":"Terrence","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":807992,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Long, Ryan A.","contributorId":236989,"corporation":false,"usgs":false,"family":"Long","given":"Ryan","email":"","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":807993,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70217093,"text":"ds1132 - 2021 - Quality of surface water in Missouri, water year 2019","interactions":[],"lastModifiedDate":"2021-01-11T12:55:18.624014","indexId":"ds1132","displayToPublicDate":"2021-01-08T12:15:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1132","displayTitle":"Quality of Surface Water in Missouri, Water Year 2019","title":"Quality of surface water in Missouri, water year 2019","docAbstract":"

The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, designed and operates a network of monitoring stations on streams and springs throughout Missouri known as the Ambient Water-Quality Monitoring Network (AWQMN). During water year 2019 (October 1, 2018, through September 30, 2019), water-quality data were collected at 73 stations: 71 AWQMN and alternate AWQMN stations, and 2 U.S. Geological Survey National Water Quality Monitoring Program stations. Among the stations in this report, four stations have data presented from additional sampling performed in cooperation with the U.S. Army Corps of Engineers. Summaries of the concentrations of dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, Escherichia coli bacteria, fecal coliform bacteria, dissolved nitrate plus nitrite as nitrogen, total phosphorus, dissolved and total recoverable lead and zinc, and selected pesticides are presented. Most of the stations have been classified based on the physiographic province or primary land use in the watershed monitored by the station. Some stations have been classified based on the unique hydrologic characteristics of the waterbodies (springs, large rivers) they monitor. A summary of hydrologic conditions including peak streamflows, monthly mean streamflows, and 7-day low flows also are presented for representative streamflow-gaging stations in the State.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ds1132","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Kay, R.T., 2021, Quality of surface water in Missouri, water year 2019: U.S. Geological Survey Data Series 1132, 26 p., https://doi.org/10.3133/ds1132.","productDescription":"Report: v, 26 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-119904","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":381906,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1132/ds1132.pdf","text":"Report","size":"1.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1132"},{"id":381905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1132/coverthb.jpg"},{"id":382023,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS data release","linkHelpText":"National Water Information System"}],"country":"United 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\"}}]}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401

","tableOfContents":"","publishedDate":"2021-01-08","noUsgsAuthors":false,"publicationDate":"2021-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kay, Robert T. 0000-0002-6281-8997","orcid":"https://orcid.org/0000-0002-6281-8997","contributorId":205367,"corporation":false,"usgs":true,"family":"Kay","given":"Robert T.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807597,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}