Historical increases in emissions and atmospheric deposition of oxidized and reduced nitrogen (N) provided the impetus for extensive, global-scale research investigating the effects of excess N in terrestrial and aquatic ecosystems, with several regions within the Eastern Deciduous Forest of the United States found to be susceptible to negative effects of excess N. The Clean Air Act and associated rules have led to decreases in emissions and deposition of oxidized N, especially in eastern U.S., representing a research challenge and opportunity for ecosystem ecologists and biogeochemists. The purpose of this paper is to predict changes in the structure and function of North American forest ecosystems in a future of decreased N deposition. Hysteresis is a property of a system wherein output is not a strict function of corresponding input, incorporating lag, delay, or history dependence, particularly when the response to decreasing input is different from the response to increasing input. We suggest a conceptual hysteretic model predicting varying lag times in recovery of soil acidification, plant biodiversity, soil microbial communities, forest carbon (C) and N cycling, and surface water chemistry toward pre-N impact conditions. Nearly all of these can potentially respond strongly to reductions in N deposition. Most responses are expected to show some degree of hysteresis, with the greatest delays in response occurring in processes most tightly linked to “slow pools” of N in wood and soil organic matter. Because experimental studies of declines in N loads in forests of North America are lacking and because of the expected hysteresis, it is difficult to generalize from experimental results to patterns expected from declining N deposition. These will likely be long-term phenomena, difficult to distinguish from other, concurrent environmental changes, including elevated atmospheric CO2, climate change, reductions in acidity, invasions of new species, and long-term vegetation responses to past disturbance.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.09.135","usgsCitation":"Gilliam, F.S., Burns, D., Driscoll, C.T., Frey, S.D., Lovett, G.M., and Watmough, S.A., 2019, Decreased atmospheric nitrogen deposition in eastern North America: Predicted responses of forest ecosystems: Environmental Pollution, v. 244, p. 560-574, https://doi.org/10.1016/j.envpol.2018.09.135.","productDescription":"15 p.","startPage":"560","endPage":"574","ipdsId":"IP-098706","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":358821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"244","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8dce4b034bf6a7e4d85","contributors":{"authors":[{"text":"Gilliam, Frank S.","contributorId":168383,"corporation":false,"usgs":false,"family":"Gilliam","given":"Frank","email":"","middleInitial":"S.","affiliations":[{"id":16679,"text":"Marshall University","active":true,"usgs":false}],"preferred":false,"id":749763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":749762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, Charles T.","contributorId":167460,"corporation":false,"usgs":false,"family":"Driscoll","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":749764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frey, Serita D.","contributorId":177401,"corporation":false,"usgs":false,"family":"Frey","given":"Serita","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":749765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lovett, Gary M.","contributorId":210078,"corporation":false,"usgs":false,"family":"Lovett","given":"Gary","email":"","middleInitial":"M.","affiliations":[{"id":36424,"text":"Cary Institute of Ecosystems Studies","active":true,"usgs":false}],"preferred":false,"id":749766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Watmough, Shaun A.","contributorId":178413,"corporation":false,"usgs":false,"family":"Watmough","given":"Shaun","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":749767,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70200613,"text":"70200613 - 2019 - On the development of a magnetic susceptibility‐based tracer for aeolian sediment transport research","interactions":[],"lastModifiedDate":"2019-02-11T15:07:06","indexId":"70200613","displayToPublicDate":"2018-10-25T12:14:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"On the development of a magnetic susceptibility‐based tracer for aeolian sediment transport research","docAbstract":"Aeolian processes — the erosion, transport, and deposition of sediment by wind — play important geomorphological and ecological roles in drylands. These processes are known to impact the spatial patterns of soil, nutrients, plant‐available water, and vegetation in many dryland ecosystems. Tracers, such as rare earth elements and stable isotopes have been successfully used to quantify the transport and redistribution of sediment by aeolian processes in these ecosystems. However, many of the existing tracer techniques are labor‐intensive and cost‐prohibitive, and hence simpler alternative approaches are needed to track aeolian redistribution of sediments. To address this methodological gap, we test the applicability of a novel metal tracer‐based methodology for estimating post‐fire aeolian sediment redistribution, using spatio‐temporal measurements of low‐field magnetic susceptibility (MS). We applied magnetic metal tracers on soil microsites beneath shrub vegetation in recently burned and control treatments in a heterogeneous landscape in the Chihuahuan desert (New Mexico, USA). Our results indicate a spatially homogeneous distribution of the magnetic tracers on the landscape after post‐burn wind erosion events. MS decreased after wind erosion events on the burned shrub microsites, indicating that these areas functioned as sediment sources following the wildfire, whereas they are known to be sediment sinks in the undisturbed (e.g., not recently burned) ecosystem. This experiment represents the first step toward the development of a cost‐effective and non‐destructive tracer‐based approach to estimate the transport and redistribution of sediment by aeolian processes.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.4536","usgsCitation":"Ravi, S., Gonzales, H.B., Buynevich, I.V., Li, J., Sankey, J.B., Dukes, D., and Wang, G., 2019, On the development of a magnetic susceptibility‐based tracer for aeolian sediment transport research: Earth Surface Processes and Landforms, v. 44, no. 2, p. 672-678, https://doi.org/10.1002/esp.4536.","productDescription":"7 p.","startPage":"672","endPage":"678","ipdsId":"IP-100633","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":358815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-14","publicationStatus":"PW","scienceBaseUri":"5c10a915e4b034bf6a7e4f6c","contributors":{"authors":[{"text":"Ravi, Sujith","contributorId":202738,"corporation":false,"usgs":false,"family":"Ravi","given":"Sujith","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":749733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzales, Howell B.","contributorId":202737,"corporation":false,"usgs":false,"family":"Gonzales","given":"Howell","email":"","middleInitial":"B.","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":749734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buynevich, Ilya V.","contributorId":210064,"corporation":false,"usgs":false,"family":"Buynevich","given":"Ilya","email":"","middleInitial":"V.","affiliations":[{"id":38063,"text":"Department of Earth and Environmental Science, Temple University, 1901 N. 13th Street, Philadelphia, PA 19122, USA","active":true,"usgs":false}],"preferred":false,"id":749735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Junran","contributorId":202740,"corporation":false,"usgs":false,"family":"Li","given":"Junran","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":749737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":749738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dukes, David","contributorId":202736,"corporation":false,"usgs":false,"family":"Dukes","given":"David","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":749736,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Guan","contributorId":202741,"corporation":false,"usgs":false,"family":"Wang","given":"Guan","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":749739,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223221,"text":"70223221 - 2019 - Behavior and survival of stocked trout in southern Appalachian Mountain streams","interactions":[],"lastModifiedDate":"2021-08-19T13:50:16.146081","indexId":"70223221","displayToPublicDate":"2018-10-25T07:46:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Behavior and survival of stocked trout in southern Appalachian Mountain streams","docAbstract":"Stocking of trout to support recreational fisheries is a common practice among state and federal agencies to meet angling and harvest demands. Success of stocking efforts relies upon fish behavior and survival to maximize the availability of fish to anglers. We quantitatively described the movement behavior and survival of stocked Brook Trout Salvelinus fontinalis, Brown Trout Salmo trutta, and Rainbow Trout Oncorhynchus mykiss in three southern Appalachian Mountain streams in western North Carolina, USA, that were managed under delayed harvest regulations. Hatchery trout were tagged with a combination of PIT tags and radio transmitters (radio tags); stocked into “Delayed Harvest Trout Waters” of the North Toe, East Prong Roaring, and Little rivers; and monitored during the catch-and-release season from October to June. Assessed according to river and species, 19–65% of trout emigrated from the delayed harvest study reaches, while 1–29% died within the reaches. The majority of radio-tagged fish (71%; 59–85% by river) remained within 2 km of the stocking location, whereas 6% migrated over 10 km from the stocking location. Few trout stocked during fall (October and November) were available to anglers the following June due to a combination of migration and mortality. Emigration from delayed harvest study reaches was associated with stocking and high-flow events. Multi-state modeling detailed these observations with weekly estimates of migration and survival rates. River-specific differences in emigration and mortality suggested that emigration was a greater source of trout loss than mortality in all rivers; no pattern related to river size was apparent in emigration, but mortality was greater in small streams. Brook Trout mortality rates were highest among the three species, and large fish of most species showed higher emigration and mortality than catchable-sized trout. Fisheries managers can apply our results to alter stocking regimes so as to enhance the efficiency of stocking and the acclimation of stocked trout to instream environments.
Effective management and protection of water resources relies upon understanding how water-quality conditions are changing over time. Water-quality trends for ammonia, chloride, nitrate, sulfate, total dissolved solids (TDS), total nitrogen (TN) and total phosphorus (TP) were assessed at 762 sites located in the conterminous United States between 2002 and 2012. Annual mean concentrations at the start and end of the trend period were compared to an environmentally meaningful level of concern (LOC) to categorize patterns in water-quality changes. Trend direction, magnitude, and the proximity of concentrations to LOCs were investigated. Of the 1956 site-constituent combinations investigated, 30% were above the LOC in 2002, and only six (0.3%) crossed the LOC threshold, either from above or below, indicating that waterquality conditions are not substantially improving, nor are they degrading, in relation to the LOCs. The concentrations of ammonia, nitrate, sulfate, chloride, and TDS tended to be below the LOC, and in cases where the trend was increasing (concentrations approached the LOC from below), the increases were varied and small in magnitude. In contrast, concentrations of TN and TP tended to be above the LOC, and where the trend was decreasing (concentrations approached the LOC from above), the decreases were larger in magnitude and more consistent. These results indicate that if water-quality conditions continue to trend in the same direction, at the same rate, for all sites and constituents studied, elevated concentrations are more likely to drop below an LOC before low concentrations will exceed an LOC.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.377","usgsCitation":"Shoda, M.E., Sprague, L.A., Murphy, J.C., and Riskin, M.L., 2019, Water-quality trends in U.S. rivers, 2002 to 2012: Relations to levels of concern: Science of the Total Environment, v. 650, no. 2, p. 2314-2324, https://doi.org/10.1016/j.scitotenv.2018.09.377.","productDescription":"11 p.","startPage":"2314","endPage":"2324","ipdsId":"IP-099077","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468074,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.377","text":"Publisher Index Page"},{"id":358349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"650","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8e0e4b034bf6a7e4dad","contributors":{"authors":[{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":748386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":748387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":167405,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":748388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":748389,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205454,"text":"70205454 - 2019 - How hydrologic connectivity regulates water quality in river corridors","interactions":[],"lastModifiedDate":"2020-09-01T20:13:54.038019","indexId":"70205454","displayToPublicDate":"2018-10-09T18:20:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"How hydrologic connectivity regulates water quality in river corridors","docAbstract":"Downstream flow in rivers is repeatedly delayed by hydrologic exchange with off‐channel storage zones where biogeochemical processing occurs. We present a dimensionless metric that quantifies river connectivity as the balance between downstream flow and the exchange of water with the bed, banks, and floodplains. The degree of connectivity directly influences downstream water quality — too little connectivity limits the amount of river water exchanged and leads to biogeochemically inactive water storage, while too much connectivity limits the contact time with sediments for reactions to proceed. Using a metric of reaction significance based on river connectivity, we provide evidence that intermediate levels of connectivity, rather than the highest or lowest levels, are the most efficient in removing nitrogen from Northeastern United States’ rivers. Intermediate connectivity balances the frequency, residence time, and contact volume with reactive sediments, which can maximize the reactive processing of dissolved contaminants and the protection of downstream water quality. Our simulations suggest denitrification dominantly occurs in riverbed hyporheic zones of streams and small rivers, whereas vertical turbulent mixing in contact with sediments dominates in mid‐size to large rivers. The metrics of connectivity and reaction significance presented here can facilitate scientifically based prioritizations of river management strategies to protect the values and functions of river corridors.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12691","usgsCitation":"Harvey, J., Gomez-Velez, J., Schmadel, N., Scott, D., Boyer, E.W., Alexander, R., Eng, K., Golden, H.E., Kettner, A., Konrad, C., Moore, R., Pizzuto, J., Schwarz, G., Soulsby, C., and Choi, J., 2019, How hydrologic connectivity regulates water quality in river corridors: Journal of the American Water Resources Association, v. 55, no. 2, p. 369-381, https://doi.org/10.1111/1752-1688.12691.","productDescription":"13 p.","startPage":"369","endPage":"381","ipdsId":"IP-098548","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468077,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1752-1688.12691","text":"External Repository"},{"id":367535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219085,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomez-Velez, Jesus","contributorId":219087,"corporation":false,"usgs":false,"family":"Gomez-Velez","given":"Jesus","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":771243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmadel, Noah","contributorId":219086,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Durelle","contributorId":219088,"corporation":false,"usgs":false,"family":"Scott","given":"Durelle","affiliations":[{"id":39959,"text":"Virginia Tech.","active":true,"usgs":false}],"preferred":false,"id":771244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":771245,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alexander, Richard","contributorId":219089,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":771246,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":771247,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":771248,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kettner, Albert","contributorId":202463,"corporation":false,"usgs":false,"family":"Kettner","given":"Albert","affiliations":[{"id":36451,"text":"Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":771249,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Konrad, Christopher","contributorId":219091,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771250,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moore, Richard","contributorId":219092,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771251,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pizzuto, Jim","contributorId":219093,"corporation":false,"usgs":false,"family":"Pizzuto","given":"Jim","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":771252,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":219094,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":771253,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Soulsby, Chris","contributorId":219095,"corporation":false,"usgs":false,"family":"Soulsby","given":"Chris","email":"","affiliations":[{"id":39960,"text":"University of Aberdeen, UK","active":true,"usgs":false}],"preferred":false,"id":771254,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Choi, Jay 0000-0003-1276-481X jchoi@usgs.gov","orcid":"https://orcid.org/0000-0003-1276-481X","contributorId":219096,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771255,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70199802,"text":"70199802 - 2019 - Mineralization at oceanic transform faults and fracture zones","interactions":[],"lastModifiedDate":"2018-10-09T15:14:28","indexId":"70199802","displayToPublicDate":"2018-10-09T10:38:24","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Mineralization at oceanic transform faults and fracture zones","docAbstract":"Mineral formation in the modern oceans can take place over millions of years as a result precipitation from ambient ocean water, or orders of magnitude more rapidly from hydrothermal activity related to magmatic and tectonic processes. Here, we review associations between transform faults and related fracture zones and marine minerals. We define marine transform faults as strike-slip or oblique faults that accommodate lateral offsets along plate boundaries or shifting crustal blocks, and fracture zones as relicts of transform faulting extending beyond mid-ocean ridge offsets. We consider specifically the modern ocean and exclude regions where the transform or fracture has clearly not generated the mineral deposit, such as the Clarion-Clipperton fracture zone manganese nodule field. As a result, the summarized deposits are mainly hydrothermal in origin.
Oceanic transform faulting has rarely been considered of interest for the mineralization and formation of ore deposits; however, there are locations in the modern oceans where transform faults and fracture zones are spatially related to mineral deposits. These occurrences suggest that transform faulting and fracture zones may be linked to mineralization at (A) intersections with other tectonic features, (B) where transform faults begin to resemble rifts through intra-transform crustal thinning, spreading, and the formation of pull-apart basins, and (C) as a result of serpentinization reactions due to exposure of deep-seated rocks by fracturing and faulting.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Transform plate boundaries and fracture zones","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-812064-4.00005-0","isbn":"978-0128120644","usgsCitation":"Gartman, A., and Hein, J.R., 2019, Mineralization at oceanic transform faults and fracture zones, chap. of Transform plate boundaries and fracture zones, p. 105-118, https://doi.org/10.1016/B978-0-12-812064-4.00005-0.","productDescription":"14 p.","startPage":"105","endPage":"118","ipdsId":"IP-091486","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":358216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f68e4b0fc368eb53807","contributors":{"editors":[{"text":"Duarte, Joao C.","contributorId":208518,"corporation":false,"usgs":false,"family":"Duarte","given":"Joao","email":"","middleInitial":"C.","affiliations":[{"id":34002,"text":"University of Lisbon, Portugal","active":true,"usgs":false}],"preferred":false,"id":747531,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":746683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":746684,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199952,"text":"70199952 - 2019 - Assessment of chronic low‐dose elemental and radiological exposures of biota at the Kanab North uranium mine site in the Grand Canyon watershed","interactions":[],"lastModifiedDate":"2019-01-28T09:17:13","indexId":"70199952","displayToPublicDate":"2018-10-09T10:11:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of chronic low‐dose elemental and radiological exposures of biota at the Kanab North uranium mine site in the Grand Canyon watershed","docAbstract":"High‐grade U ore deposits are in various stages of exploitation across the Grand Canyon watershed, yet the effects of U mining on ecological and cultural resources are largely unknown. We characterized the concentrations of Al, As, Bi, Cd, Co, Cu, Fe, Pb, Hg, Mo, Ni, Se, Ag, Tl, Th, U, and Zn, gross alpha and beta activities, and U and Th radioisotopes in soil, vegetation (Hesperostipa comata, Artemisia tridentata, Tamarix chinensis), and rodents (Peromyscus maniculatus, P. boylii) to waste material at the Kanab North mine, a mine with decades‐long surficial contamination, and compared the concentrations (P < 0.01) to those at a premining site (Canyon Mine). Rodent tissues were also analyzed for radium‐226 and microscopic lesions. Radioactivities and some elemental concentrations (e.g., Co, Pb, U) were greater in the Kanab North mine biological samples than in Canyon Mine biota, indicating a mining‐related elemental signature. Mean rodent Ra‐226 (111 Bq/kg dry weight [dry wt]) was 3 times greater than expected, indicating radioactive disequilibrium. Multiple soil sample U concentrations exceeded a screening benchmark, growth inhibition thresholds for sensitive plants, and an EC20 for a soil arthropod. Lesions associated with metals exposure were also observed more frequently in rodents at Kanab North than those at Canyon Mine but could not be definitively attributed to U mining. Our results indicate that Kanab North biota have taken up U mining‐related elements owing to chronic exposure to surficial contamination. However, no literature‐based effects thresholds for small rodents were exceeded, and only a few soil and vegetation thresholds for sensitive species were exceeded; therefore, adverse effects to biota from U mining‐related elements at Kanab North are unlikely despite chronic exposure.
","language":"English","publisher":"SETAC","doi":"10.1002/ieam.4095","usgsCitation":"Cleveland, D.M., Hinck, J.E., and Lankton, J.S., 2019, Assessment of chronic low‐dose elemental and radiological exposures of biota at the Kanab North uranium mine site in the Grand Canyon watershed: Integrated Environmental Assessment and Management, v. 15, no. 1, p. 112-125, https://doi.org/10.1002/ieam.4095.","productDescription":"14 p.","startPage":"112","endPage":"125","ipdsId":"IP-095624","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":460565,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4095","text":"Publisher Index Page"},{"id":437626,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X0660R","text":"USGS data release","linkHelpText":"Chemical analyses and histopathology of small rodents, vegetation, and soil collected from the Kanab North breccia pipe uranium mine in the Grand Canyon watershed"},{"id":437625,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99GDFWB","text":"USGS data release","linkHelpText":"Results from radiochemical analyses of small rodent whole bodies collected from breccia pipe uranium mines and reference locations in the Grand Canyon watershed."},{"id":358195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-23","publicationStatus":"PW","scienceBaseUri":"5bc02f77e4b0fc368eb5383d","contributors":{"authors":[{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":747462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70222369,"text":"70222369 - 2019 - Point sources and agricultural practices control spatial-temporal patterns of orthophosphate in tributaries to Chesapeake Bay","interactions":[],"lastModifiedDate":"2021-07-23T21:01:11.543757","indexId":"70222369","displayToPublicDate":"2018-10-06T15:53:24","publicationYear":"2019","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":"Point sources and agricultural practices control spatial-temporal patterns of orthophosphate in tributaries to Chesapeake Bay","docAbstract":"Orthophosphate (PO4) is the most bioavailable form of phosphorus (P). Excess PO4 may cause harmful algal blooms in aquatic ecosystems. A major restoration effort is underway for Chesapeake Bay (CB) to reduce P, nitrogen, and sediment loading to CB. Although PO4 cycling and delivery to streams has been characterized in small-scale studies, regional drivers of PO4 patterns remain poorly understood because most water quality trend assessment focus on total P. Moreover, these trend assessments are usually at an annual timestep. To address this research gap, we analyzed PO4 patterns over a 9-year period at 53 monitoring stations across the CB watershed to: 1) characterize the role of PO4 in total P fluxes and trends; 2) describe spatial and temporal patterns of PO4 concentrations across seasons and streamflow; and 3) explore factors explaining these patterns. Agricultural watersheds exported the most total P compared with watersheds under different land uses (e.g., urban or forest), with PO4 comprising up to 50% of those exports. Although PO4 exports are declining at many sites, some agricultural regions are experiencing increasing trends at a rate sufficient to drive total P trends. Regression modeling results suggest that point source load reductions are likely responsible for decreasing PO4 concentrations observed at many sites. Watersheds with more Conservation Reserve Program enrollment had lower summer PO4 concentrations, highlighting the effectiveness of this practice. Manure inputs strongly predicted PO4 concentrations at high flows across all seasons. Both manure applications and conservation tillage were correlated with changes in PO4 concentrations at high flow, suggesting these activities could contribute to increasing PO4 concentrations. This study highlights the effectiveness of point source control for reducing PO4 exports and underscores the need for management strategies to target sources, practices, and landscape factors determining PO4 loss from soils where manure inputs remain high.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.10.062","usgsCitation":"Fanelli, R., Blomquist, J.D., and Hirsch, R.M., 2019, Point sources and agricultural practices control spatial-temporal patterns of orthophosphate in tributaries to Chesapeake Bay: Science of the Total Environment, v. 652, p. 422-433, https://doi.org/10.1016/j.scitotenv.2018.10.062.","productDescription":"12 p.","startPage":"422","endPage":"433","ipdsId":"IP-096738","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":468080,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.10.062","text":"Publisher Index Page"},{"id":387402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New York, Pennsylvania, Virginia, West 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0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":819777,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204366,"text":"70204366 - 2019 - Microhabitat use of native fishes in the Kootenai River: A fine‐scale evaluation of large‐scale habitat rehabilitation efforts","interactions":[],"lastModifiedDate":"2019-12-22T14:47:40","indexId":"70204366","displayToPublicDate":"2018-10-05T12:22:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Microhabitat use of native fishes in the Kootenai River: A fine‐scale evaluation of large‐scale habitat rehabilitation efforts","docAbstract":"Fish and microhabitat data were collected at 542 prepositioned electrofishing sites (surface area of each site = 4 m2) in the Kootenai River, Idaho, during 2014 and 2015 to evaluate small‐scale habitat use by fishes, as it relates to large‐scale habitat rehabilitation efforts. Samples were collected from a 12‐km braided segment of river that had received localized habitat rehabilitation treatments since 2011. Fish and microhabitat data were collected to investigate habitat drivers related to the occurrence and relative abundance of fishes. Each sampling location was selected at random and characterized as “treated” (i.e., rehabilitated) or “untreated” based on proximity to habitat treatments. Fishes sampled from backwaters composed 71% of the overall catch and 84% of the catch from locally untreated areas of the river. Species‐specific regression models suggested that water depth and current velocity influenced the occurrence and abundance of fishes. In particular, shallow habitats with low current velocities were important for small‐bodied native fishes and likely serve as important rearing areas for juvenile fish. These habitat conditions typically characterize backwater and channel‐margin habitats that are vulnerable to anthropogenic perturbation. Prioritizing process‐based rehabilitation of these areas in large, regulated rivers would allow natural channel‐forming processes for the benefit of native fishes.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3366","usgsCitation":"Branigan, P.R., Quist, M.C., Bradley B. Shepard, and Ireland, S.C., 2019, Microhabitat use of native fishes in the Kootenai River: A fine‐scale evaluation of large‐scale habitat rehabilitation efforts: River Research and Applications, v. 34, no. 10, p. 1267-1277, https://doi.org/10.1002/rra.3366.","productDescription":"11 p.","startPage":"1267","endPage":"1277","ipdsId":"IP-082011","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":365797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.76269531249999,\n 48.44377831058802\n ],\n [\n -116.03759765625,\n 48.44377831058802\n ],\n [\n -116.03759765625,\n 48.980216985374994\n ],\n [\n -116.76269531249999,\n 48.980216985374994\n ],\n [\n -116.76269531249999,\n 48.44377831058802\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Branigan, Philip R.","contributorId":217303,"corporation":false,"usgs":false,"family":"Branigan","given":"Philip","email":"","middleInitial":"R.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":766548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":766547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley B. Shepard","contributorId":217304,"corporation":false,"usgs":false,"family":"Bradley B. Shepard","affiliations":[{"id":39600,"text":"consulting company","active":true,"usgs":false}],"preferred":false,"id":766549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ireland, Susan C.","contributorId":217305,"corporation":false,"usgs":false,"family":"Ireland","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":39601,"text":"kooteni tribe","active":true,"usgs":false}],"preferred":false,"id":766550,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216768,"text":"70216768 - 2019 - Fate and transport of nitrapyrin in agroecosystems: Occurrence in agricultural soils, subsurface drains, and receiving streams in the Midwestern US","interactions":[],"lastModifiedDate":"2020-12-04T21:52:28.857406","indexId":"70216768","displayToPublicDate":"2018-10-02T15:48:20","publicationYear":"2019","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":"Fate and transport of nitrapyrin in agroecosystems: Occurrence in agricultural soils, subsurface drains, and receiving streams in the Midwestern US","docAbstract":"Nitrapyrin is a nitrification inhibitor that is co-applied with nitrogen fertilizer in agroecosystems. There is limited information on the fate of nitrapyrin after it is applied to agricultural soils. Over the course of one year (March 2016 to June 2017), 192 water samples from seven streams across Iowa and Illinois were analyzed for nitrapyrin, its metabolite 6‑chloropicolinic acid (6‑CPA), and three widely used herbicides acetochlor, atrazine, and metolachlor. Additional environmental samples were collected and analyzed in spring 2017: 63 water samples from eight subsurface drains in Illinois, and 33 soil samples from a field in Iowa that received direct application of nitrapyrin. Nitrapyrin was detected in all seven streams (56% detection) with concentrations ranging from less than LOD to 1200 ng/L; 6‑CPA was detected in six of the seven streams (13% detection) with concentrations ranging from less than LOD to 13 ng/L. Nitrapyrin was detected in 10% of the subsurface drain samples with concentrations ranging from less than LOD to 12 ng/L; 6‑CPA was detected in six of the eight subsurface drains and in 33% of drain samples with concentrations ranging from less than LOD to 6 ng/L. Nitrapyrin was detected in 67% of the soil samples collected, and concentrations ranged from less than LOD to 42 ng/g. Generally, all three herbicides were detected more frequently and at higher concentrations than nitrapyrin in the streams, subsurface drains, and soils. The environmental fate of nitrapyrin after application is dominated by sorption to soil and off-field transport via leaching and overland flow.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.387","usgsCitation":"Woodward, E., Kolpin, D., Zheng, W., Holm, N.L., Meppelink, S.M., Terrio, P.J., and Hladik, M.L., 2019, Fate and transport of nitrapyrin in agroecosystems: Occurrence in agricultural soils, subsurface drains, and receiving streams in the Midwestern US: Science of the Total Environment, v. 650, no. 23-24, p. 2830-2841, https://doi.org/10.1016/j.scitotenv.2018.09.387.","productDescription":"12 p.","startPage":"2830","endPage":"2841","ipdsId":"IP-099070","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468083,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.387","text":"Publisher Index Page"},{"id":437627,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91OESMG","text":"USGS data release","linkHelpText":"Nitrapyrin, 6-CPA, and herbicide concentrations in agricultural soils, subsurface drains, and corresponding streams in the Midwestern US"},{"id":381003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.17578124999999,\n 41.672911819602085\n ],\n [\n -92.197265625,\n 43.03677585761058\n ],\n [\n -94.1748046875,\n 43.26120612479979\n ],\n [\n -94.306640625,\n 42.4234565179383\n ],\n [\n -93.33984375,\n 41.60722821271717\n ],\n [\n -91.58203125,\n 40.97989806962013\n ],\n [\n -90.791015625,\n 40.88029480552824\n ],\n [\n -90.17578124999999,\n 41.672911819602085\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.505859375,\n 39.30029918615029\n ],\n [\n -87.5830078125,\n 39.30029918615029\n ],\n [\n -87.5830078125,\n 40.58058466412761\n ],\n [\n -88.505859375,\n 40.58058466412761\n ],\n [\n -88.505859375,\n 39.30029918615029\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"650","issue":"23-24","noUsgsAuthors":false,"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":806140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zheng, Wei","contributorId":207063,"corporation":false,"usgs":false,"family":"Zheng","given":"Wei","email":"","affiliations":[{"id":37449,"text":"Jilin Academy of Fishery Science, Jilin, People's Republic of China, 130033","active":true,"usgs":false}],"preferred":false,"id":806142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm, Nancy L","contributorId":245406,"corporation":false,"usgs":false,"family":"Holm","given":"Nancy","email":"","middleInitial":"L","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":806143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meppelink, Shannon M. 0000-0003-1294-7878","orcid":"https://orcid.org/0000-0003-1294-7878","contributorId":205653,"corporation":false,"usgs":true,"family":"Meppelink","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806144,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"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":806146,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199420,"text":"70199420 - 2019 - Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR","interactions":[],"lastModifiedDate":"2019-09-12T06:41:41","indexId":"70199420","displayToPublicDate":"2018-10-02T13:24:48","publicationYear":"2019","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}},"displayTitle":"Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR","title":"Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR","docAbstract":"We describe a die-off of little brown bats (Myotis lucifugus carissima) associated with acute intoxication with microcystin-LR in 2016 at Scofield Reservoir in Utah. High levels of this cyanotoxin in water from the reservoir and gastrointestinal content of bats supported this diagnosis.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2018-02-047","usgsCitation":"Isidoro Ayza, M., Jones, L.C., Dusek, R.J., Lorch, J.M., Landsberg, J.H., Wilson, P., and Graham, S., 2019, Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR: Journal of Wildlife Diseases, v. 55, no. 1, p. 266-270, https://doi.org/10.7589/2018-02-047.","productDescription":"5 p.","startPage":"266","endPage":"270","ipdsId":"IP-096936","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":357394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Scofield Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.20292663574217,\n 39.74019436504727\n ],\n [\n -111.09683990478516,\n 39.74019436504727\n ],\n [\n -111.09683990478516,\n 39.82119422647453\n ],\n [\n -111.20292663574217,\n 39.82119422647453\n ],\n [\n -111.20292663574217,\n 39.74019436504727\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f9ee4b0fc368eb5390b","contributors":{"authors":[{"text":"Isidoro Ayza, Marcos 0000-0002-9380-7254 misidoroayza@usgs.gov","orcid":"https://orcid.org/0000-0002-9380-7254","contributorId":192509,"corporation":false,"usgs":true,"family":"Isidoro Ayza","given":"Marcos","email":"misidoroayza@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":745204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Lee C.","contributorId":149998,"corporation":false,"usgs":false,"family":"Jones","given":"Lee","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":745205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":745206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":745207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landsberg, Jan H.","contributorId":207918,"corporation":false,"usgs":false,"family":"Landsberg","given":"Jan","email":"","middleInitial":"H.","affiliations":[{"id":37664,"text":"Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, St. Petersburg, FL, USA","active":true,"usgs":false}],"preferred":false,"id":745208,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Patrick","contributorId":207919,"corporation":false,"usgs":false,"family":"Wilson","given":"Patrick","email":"","affiliations":[{"id":37664,"text":"Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, St. Petersburg, FL, USA","active":true,"usgs":false}],"preferred":false,"id":745209,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graham, Stephanie","contributorId":207920,"corporation":false,"usgs":false,"family":"Graham","given":"Stephanie","email":"","affiliations":[{"id":37665,"text":"Field Office, U.S. Fish and Wildlife Service, West Valley City, UT, USA","active":true,"usgs":false}],"preferred":false,"id":745210,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70205192,"text":"70205192 - 2019 - In vivo effects of 17α-ethinylestradiol, 17B-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon","interactions":[],"lastModifiedDate":"2019-09-06T08:29:13","indexId":"70205192","displayToPublicDate":"2018-10-01T15:33:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"In vivo effects of 17α-ethinylestradiol, 17β-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon","title":"In vivo effects of 17α-ethinylestradiol, 17B-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon","docAbstract":"Feminizing endocrine disrupting compounds (EDCs) affect the growth and development of teleost fishes. The major regulator of growth performance, the growth hormone (Gh)/insulin-like growth-factor (Igf) system, is sensitive to estrogenic compounds and mediates certain physiological and potentially behavioral consequences of EDC exposure. Igf binding proteins (Igfbps) are key modulators of Igf activity, but their alteration by EDCs has not been examined. We investigated two life-stages (fry and smolts) of Atlantic salmon (Salmo salar), and characterized how the Gh/Igf/Igfbp system responded to waterborne 17α-ethinylestradiol (EE2), 17β-estradiol (E2) and 4-nonylphenol (NP). Fry exposed to EE2 and NP for 21 days had increased hepatic vitellogenin (vtg) mRNA levels while hepatic estrogen receptor α (erα), gh receptor (ghr), igf1 and igf2 mRNA levels were decreased. NP-exposed fry had reduced body mass and total length compared to controls. EE2 and NP reduced hepatic igfbp1b1, -2a, -2b1, -4, -5b2 and -6b1, and stimulated igfbp5a. In smolts, hepatic vtg mRNA levels were induced following 4-day exposures to all three EDCs, while erα only responded to EE2 and E2. EDC exposures did not affect body mass or fork length; however, EE2 diminished plasma Gh and Igf1 levels in parallel with reductions in hepatic ghr and igf1. In smolts, EE2 and E2 diminished hepatic igfbp1b1, -4 and -6b1, and stimulated igfbp5a. There were no signs of compromised ionoregulation in smolts, as indicated by unchanged branchial ion pump/transporter mRNA levels. We conclude that hepatic igfbps respond (directly and/or indirectly) to environmental estrogens during two key life-stages of Atlantic salmon, and thus may modulate the growth and development of exposed individuals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2018.07.018","usgsCitation":"Breves, J.P., Duffy, T.A., Einarsdottir, I.E., Bjornsson, B.T., and McCormick, S.D., 2019, In vivo effects of 17α-ethinylestradiol, 17B-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon: Aquatic Toxicology, v. 203, p. 28-39, https://doi.org/10.1016/j.aquatox.2018.07.018.","productDescription":"12 p.","startPage":"28","endPage":"39","ipdsId":"IP-094300","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquatox.2018.07.018","text":"Publisher Index Page"},{"id":367233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Breves, Jason P.","contributorId":6349,"corporation":false,"usgs":false,"family":"Breves","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":770300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, Tara A.","contributorId":139213,"corporation":false,"usgs":false,"family":"Duffy","given":"Tara","email":"","middleInitial":"A.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":770301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Einarsdottir, Ingibjorg E.","contributorId":173274,"corporation":false,"usgs":false,"family":"Einarsdottir","given":"Ingibjorg","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":770302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjornsson, Bjorn Thrandur","contributorId":173275,"corporation":false,"usgs":false,"family":"Bjornsson","given":"Bjorn","email":"","middleInitial":"Thrandur","affiliations":[],"preferred":false,"id":770303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770299,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204589,"text":"70204589 - 2019 - Toxicity assessment of groundwater contaminated by petroleum hydrocarbons at a well-characterized, aged, crude oil release site","interactions":[],"lastModifiedDate":"2019-08-06T11:47:24","indexId":"70204589","displayToPublicDate":"2018-10-01T11:45:31","publicationYear":"2019","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":"Toxicity assessment of groundwater contaminated by petroleum hydrocarbons at a well-characterized, aged, crude oil release site","docAbstract":"Management of petroleum-impacted waters by monitored natural attenuation requires an understanding of the toxicology of both the original compounds released and the transformation products formed during natural breakdown. Here, we report data from a groundwater plume consisting of a mixture of crude oil compounds and transformation products in an effort to bridge the gap between groundwater quality information and potential biological effects of human exposures. Groundwater samples were characterized for redox processes, concentrations of nonvolatile dissolved organic carbon (NVDOC) and total petroleum hydrocarbons in the diesel range, as well as for activation of human nuclear receptors (hNR) and toxicologically relevant transcriptional pathways. Results show upregulation of several biological pathways, including peroxisome proliferator-activated receptor gamma and alpha, estrogen receptor alpha, and pregnane X receptor (PXR) with higher levels of hNR activity observed in more contaminated samples. Our study of affected groundwater contaminated by a crude-oil release 39 years ago shows these types of waters may have the potential to cause adverse impacts on development, endocrine, and liver functioning in exposed populations. Additionally, positive trends in activation of some of the molecular targets (e.g., PXR) with increasing NVDOC concentrations (including polar transformation products) demonstrate the importance of improving our understanding of the toxicity associated with the unknown transformation products present in hydrocarbon-impacted waters. Our results begin to provide insight into the potential toxicity of petroleum-impacted waters, which is particularly timely given the ubiquitous nature of waters impacted by petroleum contamination not only recently but also in the past and the need to protect drinking-water quality.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.8b03657","usgsCitation":"McGuire, J.T., Cozzarelli, I.M., Bekins, B.A., Link, H., and Martinović-Weigelt, D., 2019, Toxicity assessment of groundwater contaminated by petroleum hydrocarbons at a well-characterized, aged, crude oil release site: Environmental Science & Technology, v. 52, no. 21, p. 12172-12178, https://doi.org/10.1021/acs.est.8b03657.","productDescription":"7 p.","startPage":"12172","endPage":"12178","ipdsId":"IP-099197","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":366299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366207,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.acs.org/doi/abs/10.1021/acs.est.8b03657"}],"volume":"52","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, Jennifer T.","contributorId":217842,"corporation":false,"usgs":false,"family":"McGuire","given":"Jennifer","email":"","middleInitial":"T.","affiliations":[{"id":39700,"text":"University of St Thomas, St. Paul, Minnesota","active":true,"usgs":false}],"preferred":false,"id":767657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":767656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":767658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, Hannah","contributorId":217843,"corporation":false,"usgs":false,"family":"Link","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":767659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinović-Weigelt, Dalma","contributorId":217844,"corporation":false,"usgs":false,"family":"Martinović-Weigelt","given":"Dalma","affiliations":[],"preferred":false,"id":767660,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204560,"text":"70204560 - 2019 - Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017","interactions":[],"lastModifiedDate":"2019-08-06T09:38:27","indexId":"70204560","displayToPublicDate":"2018-10-01T08:03:06","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017","docAbstract":"We used Passive Integrated Transponder (PIT)-tagging and a series of instream PIT-tag interrogation systems (PTISs) to investigate life-histories, populations, and efficacy of habitat restoration actions for wild Steelhead Oncorhynchus mykiss in the Wind River subbasin, WA. No hatchery Steelhead have been planted in the Wind River subbasin since 1997, and hatchery adults are estimated to be less than one percent of adults in most years (pers comm. Thomas Buehrens, Washington Department of Fish and Wildlife). Numerous restoration actions have been implemented in the subbasin, including Hemlock Dam removal on Trout Creek in 2009. Data from our study, and companion work by Washington Department of Fish and Wildlife (WDFW), are contributing to Bonneville Power Administration’s (BPA) Research Monitoring and Evaluation (RM&E) Program Strategy of Fish Population Status Monitoring (www.cbfish.org/ProgramStrategy.mvc/ViewProgramStrategySummary/1), specifically the substrategies of: 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and to Uncertainties Research regarding differing life histories of a wild Steelhead population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives. Our headwaters parr PIT tagging, WDFW parr, smolt, and adult tagging and our instream PTISs are providing data movements and life histories of parr, smolt, and adult Steelhead. During summer 2017, we PIT-tagged age-0 and age-1 Steelhead parr in headwater areas of the Wind River subbasin to characterize population traits and investigate life-history diversity, including growth and pre-smolt downstream movement. Repeat sampling and smolt traps provide opportunities for recapture, and instream PTISs and Columbia River infrastructure provide opportunity for detection of PIT-tagged fish. Throughout the year, we maintained a series of instream PTISs to monitor movement of tagged Steelhead parr, smolts, and adults. This included adding the second array to our upper Wind River PITS, increasing solar capacity and adding improved power cables to some sites. Detections at the instream PTISs have demonstrated trends of age-0 and age-1 parr emigration from natal areas during summer and fall, in addition to the expected movement of parr and smolts in spring. These data are increasing our understanding of varied life histories of juvenile Steelhead; paired with other Steelhead population work in the subbasin we hope to begin to understand factors which may influence parr movements. Long-term monitoring of PIT-tagged fish over multiple years is providing information on contribution of various life-history strategies to smolt production and adult returns. Movements of PIT-tagged adult Steelhead were also recorded at instream PTISs. These data have allowed us to assess adult returns to tributary watersheds within the Wind River subbasin. Determination of adult use of tributary watersheds is providing data to contribute to evaluation of the efficacy of the removal of Hemlock Dam on Trout Creek. Hemlock Dam, located at rkm 2.0 of Trout Creek was removed in summer 2009. The dam had had contributed to hydrologic impairment of Trout Creek and had potential negative effects on Steelhead. The improved upper Wind River PTIS (better site characteristics and grid power) will allow estimates of subbasin adult escapement upstream of that site. Evaluating and planning restoration efforts are of interest to many managers and agencies to ensure efficient use of resources. The evaluation of various life-histories of Lower Columbia River Steelhead within the Wind River subbasin will provide information to better track populations, and to direct habitat restoration and water allocation planning. Increasingly detailed Viable Salmonid Population information, such as that provided by PIT-tagging and instream PTISs networks like those we operate in the Wind River subbasin, will provide data to inform policy and management, as life-history strategies and production bottlenecks are identified and understood.
","language":"English","publisher":"Bonneville Power Administration","collaboration":"Bonneville Power Administration","usgsCitation":"Jezorek, I., 2019, Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017, 53 p.","productDescription":"53 p.","startPage":"1","endPage":"53","ipdsId":"IP-101368","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":366100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366091,"type":{"id":11,"text":"Document"},"url":"https://www.cbfish.org/Document.mvc/DocumentViewer/P164011/80611-1.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.963568,45.751448 ], [ -121.963568,45.969903 ], [ -121.787086,45.969903 ], [ -121.787086,45.751448 ], [ -121.963568,45.751448 ] ] ] } } ] }","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217811,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767569,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199743,"text":"70199743 - 2019 - Groundwater salinity mapping using geophysical log analysis within the Fruitvale and Rosedale Ranch oil fields, Kern County, California, USA","interactions":[],"lastModifiedDate":"2019-03-26T16:18:40","indexId":"70199743","displayToPublicDate":"2018-09-26T15:15:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater salinity mapping using geophysical log analysis within the Fruitvale and Rosedale Ranch oil fields, Kern County, California, USA","docAbstract":"A method is presented for deriving a volume model of groundwater total dissolved solids (TDS) from borehole geophysical and aqueous geochemical measurements. While previous TDS mapping techniques have proved useful in the hydrogeologic setting in which they were developed, they may yield poor results in settings with lithological heterogeneity, complex water chemistry, or limited data. Problems arise because of assumed values for empirical constants in Archie’s Equation, unrealistic porosity and temperature gradients, or bicarbonate-rich groundwater. These issues become critical in complex geologic settings such as the San Joaquin Valley of California, USA. To address this, a method to map TDS in three dimensions is applied to the Fruitvale and Rosedale Ranch oil fields near Bakersfield, California. Borehole resistivity, porosity, and temperature data are used to derive TDS using Archie’s Equation, and are then kriged to interpolate TDS. Archie’s a and m (tortuosity factor and cementation exponent, respectively) are found by comparing model predictions, after kriging, to TDS measurements, and minimizing the differences via mathematical optimization. Contributions of abundant bicarbonate ions to TDS were corrected using an empirical model. This work was motivated by federal and state law requirements to monitor and protect underground sources of drinking water. Modeling shows the legally significant boundary of 10,000 ppm TDS is at ~1,067 m below sea level in Rosedale Ranch, and deepens into Fruitvale to ~1,341 m. Mapping groundwater TDS at this resolution reveals that TDS is primarily controlled by depth, recharge, stratigraphy, and in some places, by faulting and facies changes.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-018-1872-5","usgsCitation":"Stephens, M.J., Shimabukuro, D.H., Gillespie, J., and Chang, W., 2019, Groundwater salinity mapping using geophysical log analysis within the Fruitvale and Rosedale Ranch oil fields, Kern County, California, USA: Hydrogeology Journal, v. 27, no. 2, p. 731-746, https://doi.org/10.1007/s10040-018-1872-5.","productDescription":"16 p.","startPage":"731","endPage":"746","ipdsId":"IP-088343","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468086,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-018-1872-5","text":"Publisher Index Page"},{"id":437630,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7S181PH","text":"USGS data release","linkHelpText":"Geochemical and geophysical data for wells in the Fruitvale and Rosedale Ranch oil and gas fields, Kern County, California, USA"},{"id":357806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Kern County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.17,\n 35.34\n ],\n [\n -119.02,\n 35.34\n ],\n [\n -119.02,\n 35.458\n ],\n [\n -119.17,\n 35.458\n ],\n [\n -119.17,\n 35.34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-26","publicationStatus":"PW","scienceBaseUri":"5bc02f8ae4b0fc368eb538a5","contributors":{"authors":[{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":746427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":203915,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":746428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Will 0000-0002-0796-0763","orcid":"https://orcid.org/0000-0002-0796-0763","contributorId":208210,"corporation":false,"usgs":false,"family":"Chang","given":"Will","email":"","affiliations":[{"id":37763,"text":"Hypergradient LLC","active":true,"usgs":false}],"preferred":false,"id":746429,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199700,"text":"70199700 - 2019 - Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California","interactions":[],"lastModifiedDate":"2019-01-28T09:18:55","indexId":"70199700","displayToPublicDate":"2018-09-26T12:09:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California","docAbstract":"Aim
In Southern California, native woody shrublands known as chaparral support exceptional biodiversity. However, large‐scale conversion of chaparral into largely exotic herbaceous cover is a major ecological threat and serious conservation concern. Due to substantial uncertainty regarding the causes and extent of this vegetation change, we aimed to quantify the primary drivers of and map potentially vulnerable locations for vegetation type conversion from woody into herbaceous cover.
Location
Santa Monica Mountains National Recreational Area, Southern California, USA.
Methods
We used air photograph image interpretation to quantify the extent to which chaparral shrublands transitioned to herbaceous cover from 1943 to 2014 across nearly 800 randomly located plots. Comparing plots that remained chaparral to those that converted to herbaceous cover, we performed hierarchical partitioning to quantify the independent contribution of a range of explanatory variables, and then used classification trees to explore variable interactions. We also developed a spatial model to create a seamless map delineating relative probability of type conversion.
Results
Of the original plots that were chaparral in 1943, 284 (36%) changed cover by 2014, with 79 completely converting, and 142 mostly converting to herbaceous cover. The primary mechanism behind shrubland decline and replacement was short intervals between fires (<=10 years), and type conversion was most likely to occur in arid parts of the landscape with low topographic heterogeneity and close proximity to trails and roads. Predictive maps delineated several hotspots with environmental conditions similar to those of type‐converted plots.
Main conclusions
Chaparral type conversion is a widespread conservation concern, and results here suggest that short‐interval fire and landscape disturbance are the most likely factors to exacerbate it, particularly in water‐limited portions of the landscape where chaparral is subject to greater physiological stress and slower recovery. Reducing fire ignitions and mapping vulnerable areas may be important strategies for prevention.
Designing conservation strategies in human-dominated landscapes is challenging, owing to complex human-natural systems and evolving societal values. To meet this challenge, a robust, adaptive strategy should have a process for flexible implementation of incremental actions. We describe a hypothetical example for the Rio Grande de Arecibo watershed and coastal wetlands in Puerto Rico to address the first component. The process begins by identifying shared stakeholder objectives. This process benefits from a review of foundational research and knowledge base that includes global forcings and vulnerability of resources of interest. Forcings include climate change and pervasive urban sprawl. We focus on two taxonomic groups with differing life histories but strong dependence on water resource dynamics, another resource valued by humans. We stipulate objectives and multiple actions, but focus on those pertaining to hydro-management as the common thread in our example. We advanced two decision contexts of contrasting complexity, illustrated links between objectives and actions, and highlighted trade-offs triggered by varying resource valuation. Our focus was to highlight various components necessary to frame a resilience-based strategy, but we cannot overemphasize the importance of accommodating institutional and stakeholder changing priorities and values to ensure its successful implementation.
","language":"English","publisher":"Springer Link","doi":"10.1007/s13157-018-1080-z","usgsCitation":"Collazo, J.A., Terando, A., Engman, A.C., Fackler, P.F., and Kwak, T.J., 2019, Toward a resilience-based conservation strategy for wetlands in Puerto Rico: Meeting challenges posed by environmental change: Wetlands, v. 39, p. 1255-1269, https://doi.org/10.1007/s13157-018-1080-z.","productDescription":"15 p.","startPage":"1255","endPage":"1269","ipdsId":"IP-097202","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Rio Grande de Arecibo watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.57268524169922,\n 18.476678452242982\n ],\n [\n -66.58882141113281,\n 18.48905177104029\n ],\n [\n -66.62830352783203,\n 18.494912504982114\n ],\n [\n -66.64546966552734,\n 18.494261322223153\n ],\n [\n -66.65233612060547,\n 18.490679772801567\n ],\n [\n -66.67190551757812,\n 18.490354173686818\n ],\n [\n -66.70177459716795,\n 18.487098148509038\n ],\n [\n -66.70589447021484,\n 18.479283435684653\n ],\n [\n -66.77215576171875,\n 18.48579572111478\n ],\n [\n -66.7532730102539,\n 18.364626789278347\n ],\n [\n -66.74503326416016,\n 18.31672202533726\n ],\n [\n -66.66950225830078,\n 18.301402736594266\n ],\n [\n -66.6427230834961,\n 18.307269858371694\n ],\n [\n -66.6324234008789,\n 18.3235663757528\n ],\n [\n -66.64512634277344,\n 18.365930134630656\n ],\n [\n -66.6811752319336,\n 18.45486016273484\n ],\n [\n -66.60770416259764,\n 18.46072206529225\n ],\n [\n -66.57543182373047,\n 18.461373375441458\n ],\n [\n -66.57268524169922,\n 18.476678452242982\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2018-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam J. 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":216875,"corporation":false,"usgs":true,"family":"Terando","given":"Adam J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":833007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engman, Augustin C.","contributorId":32145,"corporation":false,"usgs":false,"family":"Engman","given":"Augustin","email":"","middleInitial":"C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":833008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fackler, P. F.","contributorId":274468,"corporation":false,"usgs":false,"family":"Fackler","given":"P.","email":"","middleInitial":"F.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":833009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833010,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215780,"text":"70215780 - 2019 - Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin","interactions":[],"lastModifiedDate":"2020-10-29T14:58:29.23819","indexId":"70215780","displayToPublicDate":"2018-09-18T09:52:28","publicationYear":"2019","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":"Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin","docAbstract":"Chemicals of emerging concern (CECs) are introduced into the aquatic environment via various sources, posing a potential risk to aquatic organisms. Previous studies have identified relationships between the presence of CECs in water and broad-scale watershed characteristics. However, relationships between the presence of CECs and source-related watershed characteristics have not been explored across the Great Lakes basin. Boosted regression tree (BRT) analyses were used to develop predictive models of CEC occurrence in water and sediment throughout 24 U.S. tributaries to the Great Lakes. Models were based on the distribution of both broad-scale and source-related watershed characteristics. Twenty-one upstream watershed characteristics, including land cover, number of permitted point sources, and distance to point sources were used to develop models predicting the probability of CEC occurrence in surface water and bottom sediment. Total accuracy of BRT models ranged from 66% to 94% for both matrices. All 21 watershed characteristics were important predictor variables in at least one surface-water model; twenty were important in at least one bottom-sediment model. Among the model variables, developed land use and distance to point sources were important predictors of the presence of CEC classes in both water and sediment. Although limitations exist, BRT models are one tool available for assessing vulnerability of fisheries and aquatic resources to CEC occurrences.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.201","usgsCitation":"Kiesling, R.L., Elliott, S.M., Kammel, L.E., Choy, S.J., and Hummel, S.E., 2019, Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin: Science of the Total Environment, v. 651, no. 1, p. 838-850, https://doi.org/10.1016/j.scitotenv.2018.09.201.","productDescription":"13 p.","startPage":"838","endPage":"850","ipdsId":"IP-096874","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468090,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.201","text":"Publisher Index Page"},{"id":437631,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZK5FXJ","text":"USGS data release","linkHelpText":"Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin"},{"id":379917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.900390625,\n 39.774769485295465\n ],\n [\n -75.673828125,\n 39.774769485295465\n ],\n [\n -75.673828125,\n 48.748945343432936\n ],\n [\n -92.900390625,\n 48.748945343432936\n ],\n [\n -92.900390625,\n 39.774769485295465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"651","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kammel, Leah E. lkammel@usgs.gov","contributorId":4778,"corporation":false,"usgs":true,"family":"Kammel","given":"Leah","email":"lkammel@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":803449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choy, Steven J.","contributorId":138668,"corporation":false,"usgs":false,"family":"Choy","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":803420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Stephanie E.","contributorId":244149,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":803421,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203749,"text":"70203749 - 2019 - El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.","interactions":[],"lastModifiedDate":"2019-06-07T15:46:00","indexId":"70203749","displayToPublicDate":"2018-09-17T15:39:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.","docAbstract":"Periodic oscillations between El Niño and La Niña conditions in the Pacific Basin affect oceanographic and meteorological phenomena globally, with impacts on the abundance and distribution of marine species. However, El Niño effects on estuarine hydrology and tidal wetland processes have seldom been examined rigorously. We used detailed wetland elevation and local inundation data from 10 tidal wetlands located along the Pacific coast of the United States to assess changes in flooding during the 2015–2016 El Niño and to determine decadal‐scale relationships between estuarine sea‐level anomalies and Pacific Basin climate indices for this region. During the 2015–2016 El Niño all sites experienced significant increases in high‐tide water levels exceeding those predicted by astronomical tides, and increased flooding frequency during at least one of the El Niño subperiods relative to pre‐El Niño conditions. The magnitude of positive sea‐level anomalies varied by site (4–15 cm), with local hot spots of high water in southern Oregon, northern California, and Pt. Mugu lagoon in the Southern California Bight. Furthermore, over the last three decades of historic tide records, there were positive relationships between high‐tide sea‐level anomalies and equatorial Pacific Basin sea surface temperature anomalies across the region, and negative relationships with the Northern Oscillation Index. Increases of 1 °C in equatorial sea surface temperature were associated with 3–5 cm of increased high‐tide flooding at the sites. Elevated estuarine flooding associated with future El Niños could impact important tidal wetland processes and could be an additive stressor for wetlands facing accelerating sea‐level rise.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JG004677","usgsCitation":"Goodman, A., Thorne, K., Buffington, K., Freeman, C.M., and Janousek, C.N., 2019, El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.: Journal of Geophysical Research, v. 123, no. 10, p. 3162-3177, https://doi.org/10.1029/2018JG004677.","productDescription":"16 p.","startPage":"3162","endPage":"3177","ipdsId":"IP-101364","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004677","text":"Publisher Index Page"},{"id":364528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Pacific Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -128.408203125,\n 48.922499263758255\n ],\n [\n -125.24414062499999,\n 40.58058466412761\n ],\n [\n -122.6953125,\n 35.96022296929667\n ],\n [\n -118.30078125,\n 32.32427558887655\n ],\n [\n -115.927734375,\n 32.54681317351514\n ],\n [\n -118.91601562499999,\n 35.817813158696616\n ],\n [\n -122.78320312499999,\n 40.64730356252251\n ],\n [\n -122.958984375,\n 48.22467264956519\n ],\n [\n -128.408203125,\n 48.922499263758255\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodman, Arianna 0000-0001-6156-7949","orcid":"https://orcid.org/0000-0001-6156-7949","contributorId":216130,"corporation":false,"usgs":false,"family":"Goodman","given":"Arianna","email":"","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":763948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":763951,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199204,"text":"70199204 - 2019 - Selected trace-elements in alluvium and rocks, western Mojave Desert, southern California","interactions":[],"lastModifiedDate":"2019-03-15T12:47:39","indexId":"70199204","displayToPublicDate":"2018-09-10T13:54:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Selected trace-elements in alluvium and rocks, western Mojave Desert, southern California","docAbstract":"Concentrations of twenty-seven elements, including naturally-occurring water-quality contaminants arsenic, chromium, and uranium, were measured in 217 samples of alluvium and rock from the western Mojave Desert, southern California, using portable (pXRF) and laboratory (LXRF) X-ray fluorescence. Comparison of measurements with NIST-traceable standards was good, although pXRF overestimated iron compared to LXRF. Results suggest pXRF survey data are sufficiently accurate to assess regional geochemical differences in geologic-source terrains. Principal component analysis showed rubidium and potassium were associated with alluvium eroded from felsic terrain, while iron, copper, chromium, and to a lesser extent titanium, manganese, and nickel were associated with alluvium eroded from mafic terrain. Zinc, vanadium, and arsenic were associated with alluvium eroded from hydrothermal terrain. Elemental assemblages associated with different source terrains were traced spatially to identify the source and composition of alluvium composing aquifers pumped for water supply. Changes in geologic source terrain to the Mojave River, associated with movement along the San Andreas Fault over the past one to five million years, reduced the mafic fraction and increased the felsic fraction of alluvium deposited to the regionally important floodplain aquifer along the Mojave River—lowering chromium concentrations in alluvium through geologic time. Comparison of pXRF and sequential extraction data from 40 samples showed arsenic and uranium were more abundant on the surfaces of mineral grains, while chromium and vanadium remained mostly within unweathered mineral grains—suggesting arsenic and uranium may be more readily mobilized into groundwater with changes in pH, redox, or ionic strength than chromium or vanadium.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2018.09.005","usgsCitation":"Groover, K., and Izbicki, J.A., 2019, Selected trace-elements in alluvium and rocks, western Mojave Desert, southern California: Journal of Geochemical Exploration, v. 200, p. 234-248, https://doi.org/10.1016/j.gexplo.2018.09.005.","productDescription":"15 p.","startPage":"234","endPage":"248","ipdsId":"IP-069818","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468095,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2018.09.005","text":"Publisher Index Page"},{"id":357205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.5,\n 34\n ],\n [\n -116,\n 34\n ],\n [\n -116,\n 35.5\n ],\n [\n -117.5,\n 35.5\n ],\n [\n -117.5,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"200","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a262e4b0702d0e842e4a","contributors":{"authors":[{"text":"Groover, Krishangi D. 0000-0002-5805-8913","orcid":"https://orcid.org/0000-0002-5805-8913","contributorId":203450,"corporation":false,"usgs":true,"family":"Groover","given":"Krishangi D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":744652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":744653,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203972,"text":"70203972 - 2019 - Genetic analyses reveal cryptic introgression in secretive marsh bird populations","interactions":[],"lastModifiedDate":"2019-06-25T13:48:12","indexId":"70203972","displayToPublicDate":"2018-09-05T13:47:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Genetic analyses reveal cryptic introgression in secretive marsh bird populations","docAbstract":"Hybridization is common in bird populations but can be challenging for management, especially if one of the two parent species is of greater conservation concern than the other. King rails (Rallus elegans) and clapper rails (R. crepitans) are two marsh bird species with similar morphologies, behaviors, and overlapping distributions. The two species are found along a salinity gradient with the king rail in freshwater marshes and the clapper in estuarine marshes. However, this separation is not absolute; they are occasionally sympatric, and there are reports of interbreeding. In Virginia, USA, both king and clapper rails are identified by the state as Species of Greater Conservation Need, although clappers are thought to be more abundant and king rails have a higher priority ranking. We used a mitochondrial DNA marker and 13 diagnostic nuclear single nucleotide polymorphisms (SNPs) to identify species, classify the degree of introgression, and explore the evolutionary history of introgression in two putative clapper rail focal populations along a salinity gradient in coastal Virginia. Genetic analyses revealed cryptic introgression with site-specific rates of admixture. We identified a pattern of introgression where clapper rail alleles predominate in brackish marshes. These results suggest clapper rails may be displacing king rails in Virginia coastal waterways, most likely as a result of ecological selection. As introgression can result in various outcomes from outbreeding depression to local adaptation, continued monitoring of these populations would allow further exploration of hybrid fitness and inform conservation management.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4472","usgsCitation":"Costner, S.S., Welsh, A.B., Costanzo, G.R., Harding, S.R., Anderson, J.T., McRae, S.B., and Katzner, T., 2019, Genetic analyses reveal cryptic introgression in secretive marsh bird populations: Ecology and Evolution, v. 8, no. 19, p. 9870-9879, https://doi.org/10.1002/ece3.4472.","productDescription":"10 p.","startPage":"9870","endPage":"9879","ipdsId":"IP-096962","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468100,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4472","text":"Publisher Index Page"},{"id":365026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, New Jersey, North Carolina, Rhode Island, South Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.056640625,\n 31.840232667909365\n ],\n [\n -80.9033203125,\n 30.751277776257812\n ],\n [\n -75.4541015625,\n 34.74161249883172\n ],\n [\n -72.8173828125,\n 39.639537564366684\n ],\n [\n -76.904296875,\n 39.639537564366684\n ],\n [\n -83.056640625,\n 31.840232667909365\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"19","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Costner, Stephanie S","contributorId":216558,"corporation":false,"usgs":false,"family":"Costner","given":"Stephanie","email":"","middleInitial":"S","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":765037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Amy B.","contributorId":192239,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":765038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costanzo, Gary R.","contributorId":198907,"corporation":false,"usgs":false,"family":"Costanzo","given":"Gary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":765039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harding, Sergio R.","contributorId":198906,"corporation":false,"usgs":false,"family":"Harding","given":"Sergio","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":765040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":765041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McRae, Susan B.","contributorId":210851,"corporation":false,"usgs":false,"family":"McRae","given":"Susan","email":"","middleInitial":"B.","affiliations":[{"id":6999,"text":"Department of Biology, East Carolina University","active":true,"usgs":false}],"preferred":false,"id":765042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":765036,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199129,"text":"70199129 - 2019 - Geochemical sourcing of runoff from a young volcanic watershed to an impacted coral reef in Pelekane Bay, Hawaii","interactions":[],"lastModifiedDate":"2018-09-05T10:59:54","indexId":"70199129","displayToPublicDate":"2018-09-05T10:59:50","publicationYear":"2019","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":"Geochemical sourcing of runoff from a young volcanic watershed to an impacted coral reef in Pelekane Bay, Hawaii","docAbstract":"Runoff of sediment and other contaminants from developed watersheds threatens coastal ecosystems and services. A sediment geochemical sourcing study was undertaken on a sediment-impacted coral reef flat to identify terrestrial sediment sources and how these changed over time. Geochemical signatures were identified for watershed soils that formed on Hawaiian basaltic and alkalic lavas using relatively immobile compatible (Ni, Sc) and incompatible (Nb, REE, Th) elements quantified by ICP-MS in total decompositions of the fine fraction of surface soils. Some soils also contained ash from late-erupting cinder conesthat added alkalic geochemical signatures, resulting in distinctive mixed signatures near these geologic features. Sediment was collected in Pelekane Bay using sediment trapsduring winter 2010–2011 and a sediment core in order to geochemically source runoff entering the bay. Geochemical signatures in trapped sediment showed that runoff predominantly originated from the lower watershed along a highway corridor rather than from the upper watershed or areas with alkalic lavas. Soil in the highway corridor also contained Zn above levels of concern for aquatic organisms and anthropogenic Pb, indications that runoff control measures could reduce the exposure of the reef community to potentially toxic metals and other road-associated contaminants. The upper portion of a 60-yr long sediment record from Pelekane Bay was disturbed by tsunamigenic waves from the Tohoku earthquake, and the remainder was likely subject to mixing by winter waves that averaged out geochemical variations. On average, watershed regions with basaltic soils were the predominant source of runoff to the bay over the past 60 years. By linking sediment runoff to geographic regions or features in watersheds, geochemical sourcing can provide insights that allow resource managers to direct runoff mitigation and soil conservation efforts to areas where they will be most effective.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.08.282","usgsCitation":"Takesue, R.K., and Storlazzi, C.D., 2019, Geochemical sourcing of runoff from a young volcanic watershed to an impacted coral reef in Pelekane Bay, Hawaii: Science of the Total Environment, v. 649, p. 353-363, https://doi.org/10.1016/j.scitotenv.2018.08.282.","productDescription":"12 p.","startPage":"353","endPage":"363","ipdsId":"IP-069403","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468101,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.08.282","text":"Publisher Index Page"},{"id":357087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Pelekane Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.86,\n 19.97\n ],\n [\n -155.7,\n 19.97\n ],\n [\n -155.7,\n 20.06\n ],\n [\n -155.86,\n 20.06\n ],\n [\n -155.86,\n 19.97\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"649","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a25ce4b0702d0e842e36","contributors":{"authors":[{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","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":744265,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}