Few studies have considered how methylmercury (MeHg, a toxic form of Hg produced in anaerobic soils) production in rice (Oryza sativa L.) fields can affect water quality, and little is known about MeHg dynamics in rice fields. Surface water MeHg and total Hg (THg) imports, exports, and storage were studied in two commercial rice fields in the Sacramento Valley, California, where soil THg was low (25 and 57 ng g−1). The median concentration of MeHg in drainage water exiting the fields was 0.17 ng g−1 (range: <0.007–2.1 ng g−1). Compared with irrigation water, drainage water had similar MeHg concentrations, and lower THg concentrations during the growing season. Significantly elevated drainage water MeHg and THg concentrations were observed in the fallow season compared with the growing season. An analysis of surface water loads indicates that fields were net importers of both MeHg (76–110 ng m−2) and THg (1947–7224 ng m−2) during the growing season, and net exporters of MeHg (35–200 ng m−2) and THg (248–6496 ng m−2) during the fallow season. At harvest, 190 to 700 ng MeHg m−2 and 1400 to 1700 ng THg m−2 were removed from fields in rice grain. Rice straw, which contained 120 to 180 ng MeHg m−2 and 7000–10,500 ng m−2 THg was incorporated into the soil. These results indicate that efforts to reduce MeHg and THg exports in rice drainage water should focus on the fallow season. Substantial amounts of MeHg and THg were stored in plants, and these pools should be considered in future studies.
","language":"English","publisher":"ASA, CSSA, and SSSA","doi":"10.2134/jeq2017.10.0390","usgsCitation":"Tanner, K.C., Windham-Myers, L., Marvin-DiPasquale, M.C., Fleck, J., Tate, K.W., and Linquist, B.A., 2018, Methylmercury dynamics in Upper Sacramento Valley rice fields with low background soil mercury levels: Journal of Environmental Quality, v. 47, no. 4, p. 830-838, https://doi.org/10.2134/jeq2017.10.0390.","productDescription":"9 p.","startPage":"830","endPage":"838","ipdsId":"IP-086490","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":355448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e547e4b060350a15d093","contributors":{"authors":[{"text":"Tanner, K. Christy","contributorId":179307,"corporation":false,"usgs":false,"family":"Tanner","given":"K.","email":"","middleInitial":"Christy","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":739261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":739262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":739260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleck, Jacob 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":168694,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tate, Kenneth W.","contributorId":179308,"corporation":false,"usgs":false,"family":"Tate","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":739264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Linquist, Bruce A.","contributorId":179310,"corporation":false,"usgs":false,"family":"Linquist","given":"Bruce","email":"","middleInitial":"A.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":739265,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198083,"text":"70198083 - 2018 - Turning on the faucet to a healthy coast","interactions":[],"lastModifiedDate":"2018-07-13T10:02:04","indexId":"70198083","displayToPublicDate":"2018-07-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3427,"text":"Solutions Journal","active":true,"publicationSubtype":{"id":10}},"title":"Turning on the faucet to a healthy coast","docAbstract":"Coastal re-engineering and freshwater extraction have reduced water flow into the estuaries of the world. Because of these activities, stressed coastal vegetation is especially vulnerable to die-off during droughts, contributing to a loss of human services related to storm protection, fisheries and water quality. The subsequent collapse of vegetation is often as related to the loss of flow as to the rise in salinity. The solution to the problem in regions with rapidly expanding human populations may be to apply strategically timed freshwater releases to estuaries. To be successful, the water requirements of both humans and natural environments need careful assessment. Flow management projects have been successful in reviving vegetation in a number of settings including The Everglades, Murray River, Mississippi River and Nueces River. These projects can be contentious, for example, if the projects have caused negative impacts to the oyster industry. Beyond the human services provided, flowing water has an intrinsic personal value for which many people are willing to pay.","language":"English","publisher":"Solutions Journal","usgsCitation":"Middleton, B., and Montagna, P.A., 2018, Turning on the faucet to a healthy coast: Solutions Journal, v. 9, no. 3, 14 p.","productDescription":"14 p.","ipdsId":"IP-091390","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355646,"type":{"id":15,"text":"Index Page"},"url":"https://www.thesolutionsjournal.com/article/turning-faucet-healthy-coast/"}],"country":"United States","volume":"9","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc419e4b0f5d57878e9e7","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206267,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montagna, Paul A.","contributorId":177033,"corporation":false,"usgs":false,"family":"Montagna","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":739936,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70197441,"text":"sir20185075 - 2018 - Nutrient loads in the Lost River and Klamath River Basins, south-central Oregon and northern California, March 2012–March 2015","interactions":[],"lastModifiedDate":"2018-07-03T09:38:08","indexId":"sir20185075","displayToPublicDate":"2018-07-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5075","title":"Nutrient loads in the Lost River and Klamath River Basins, south-central Oregon and northern California, March 2012–March 2015","docAbstract":"The U.S. Geological Survey and Bureau of Reclamation collected water-quality data from March 2012 to March 2015 at locations in the Lost River and Klamath River Basins, Oregon, in an effort to characterize water quality and compute a nutrient budget for the Bureau of Reclamation Klamath Reclamation Project. The study described in this report resulted in the following significant findings:
Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
Freshwater resources in arid and semi-arid regions are in extreme demand, which creates conflicts between needs of humans and aquatic ecosystems. The Rio Grande basin in the southwestern United States and northern Mexico exemplifies this issue, as much of its aquatic biodiversity is in peril as a result of human activities. Unionid mussels have been disproportionately impacted, though the specific factors responsible for their decline remain largely unknown. This is problematic because the Rio Grande basin harbors one federally endangered unionid mussel (Popenaias popeii, Texas Hornshell) plus two other mussel species (Potamilus metnecktayi, Salina Mucket; and Truncilla cognata, Mexican Fawnsfoot), which are also being considered for listing under the U.S. Endangered Species Act. To date, surveys for these species have not corrected for variability in detection so current range estimates may be inaccurate. Using single occupancy-modeling to estimate detection and occupancy at 115 sites along ~800 river kilometers of the Rio Grande in Texas, we found that detection probabilities were relatively high, indicating that our survey design was efficient. In contrast, the estimated occupancy was low, indicating that our focal species were likely rare within the Rio Grande drainage. In general, the predicted occupancy of our focal species was low throughout their respective ranges, indicating possible range declines. A comparison of currently occupied ranges to presumptive ranges underscores this point. The best-approximating models indicated that occupancy was influenced by habitat, water quantity and quality, and proximity to large-scale human activities, such as dams and major urban centers. We also discuss a series of conservation options that may not only improve the long-term prognosis of our focal species but also other aquatic taxa.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.03.032","usgsCitation":"Randklev, C.R., Miller, T., Hart, M., Morton, J., Johnson, N.A., Skow, K., Inoue, K., Tsakiris, E., Oetker, S., Smith, R., Robertson, C., and Lopez, R., 2018, A semi-arid river in distress: Contributing factors and recovery solutions for three imperiled freshwater mussels (Family Unionidae) endemic to the Rio Grande basin in North America: Science of the Total Environment, v. 631-632, p. 733-744, https://doi.org/10.1016/j.scitotenv.2018.03.032.","productDescription":"12 p.","startPage":"733","endPage":"744","ipdsId":"IP-091761","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rio Grande basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { 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College","active":true,"usgs":false}],"preferred":false,"id":739814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Michael","contributorId":206212,"corporation":false,"usgs":false,"family":"Hart","given":"Michael","email":"","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":739815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morton, Jennifer","contributorId":206213,"corporation":false,"usgs":false,"family":"Morton","given":"Jennifer","email":"","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":739816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast 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A&M","active":true,"usgs":false}],"preferred":false,"id":739819,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Oetker, Susan","contributorId":206216,"corporation":false,"usgs":false,"family":"Oetker","given":"Susan","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":739820,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Ryan","contributorId":206257,"corporation":false,"usgs":false,"family":"Smith","given":"Ryan","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":739911,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robertson, Clint","contributorId":206217,"corporation":false,"usgs":false,"family":"Robertson","given":"Clint","affiliations":[{"id":37288,"text":"Texas Parks and Wildife","active":true,"usgs":false}],"preferred":false,"id":739821,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lopez, Roel","contributorId":206218,"corporation":false,"usgs":false,"family":"Lopez","given":"Roel","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":739822,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70202687,"text":"70202687 - 2018 - Metamodeling for groundwater age forecasting in the Lake Michigan Basin","interactions":[],"lastModifiedDate":"2019-03-18T16:30:22","indexId":"70202687","displayToPublicDate":"2018-07-01T16:30:14","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Metamodeling for groundwater age forecasting in the Lake Michigan Basin","docAbstract":"Groundwater age is an important indicator of groundwater susceptibility to anthropogenic contamination and a key input to statistical models for forecasting water quality. Numerical models can provide estimates of groundwater age, enabling interpretation of measured age tracers. However, to extend to national‐scale groundwater systems where numerical models are not routinely available, a more efficient metamodeling approach can provide a less precise but widely applicable estimate of groundwater age, trained to make forecasts based on predictor variables that can be measured independent of numerical models. We trained gradient‐boosted regression tree statistical metamodels to MODFLOW/MODPATH‐derived groundwater age estimates in five inset models in the Lake Michigan Basin, USA. Using high‐throughput computing, we explored an exhaustive range of tuning parameters and tested metamodels through cross validation, a 20% holdout, and a round robin approach among the five inset models withholding each inset model from training and testing on the held‐out inset model. Forecast skill—measured by Nash Sutcliffe efficiency—was high for age‐related responses in the 20% hold‐out case (ranging from 0.73 to 0.84). The round robin analysis provided the opportunity to explore extending to unmodeled areas and a greater range of skill indicated the need to evaluate when it is appropriate to apply a metamodel from one region to another. We further explored the ramifications of metamodel simplification achieved through removing predictor variables based on their estimated importance. We found that similar metamodel performance was achievable with a fraction of the candidate set of predictor variables with well construction variables being most important.
","language":"English","publisher":"AGU","doi":"10.1029/2017WR022387","usgsCitation":"Fienen, M.N., Nolan, B.T., Kauffman, L.J., and Feinstein, D.T., 2018, Metamodeling for groundwater age forecasting in the Lake Michigan Basin: Water Resources Research, v. 54, no. 7, p. 4750-4766, https://doi.org/10.1029/2017WR022387.","productDescription":"17 p.","startPage":"4750","endPage":"4766","ipdsId":"IP-096251","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468611,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017wr022387","text":"Publisher Index Page"},{"id":437832,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7610ZMG","text":"USGS data release","linkHelpText":"Data and Scripts for Metamodeling for Groundwater Age Forecasting in the Lake Michigan Basin"},{"id":362158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Michigan Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89,\n 41.5\n ],\n [\n -84,\n 41.5\n ],\n [\n -84,\n 46.5\n ],\n [\n -89,\n 46.5\n ],\n [\n -89,\n 41.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"7","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":171511,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, B. Thomas 0000-0002-6945-9659","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":8905,"corporation":false,"usgs":true,"family":"Nolan","given":"B.","email":"","middleInitial":"Thomas","affiliations":[],"preferred":true,"id":759478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauffman, Leon J. 0000-0003-4564-0362 lkauff@usgs.gov","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":1094,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"lkauff@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feinstein, Daniel T. 0000-0003-1151-2530 dtfeinst@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-2530","contributorId":1907,"corporation":false,"usgs":true,"family":"Feinstein","given":"Daniel","email":"dtfeinst@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759480,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200910,"text":"70200910 - 2018 - Environmental controls, emergent scaling, and predictions of greenhouse gas (GHG) fluxes in coastal salt marshes","interactions":[],"lastModifiedDate":"2018-11-14T15:03:45","indexId":"70200910","displayToPublicDate":"2018-07-01T15:03:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Environmental controls, emergent scaling, and predictions of greenhouse gas (GHG) fluxes in coastal salt marshes","docAbstract":"Coastal salt marshes play an important role in mitigating global warming by removing atmospheric carbon at a high rate. We investigated the environmental controls and emergent scaling of major greenhouse gas (GHG) fluxes such as carbon dioxide (CO2) and methane (CH4) in coastal salt marshes by conducting data analytics and empirical modeling. The underlying hypothesis is that the salt marsh GHG fluxes follow emergent scaling relationships with their environmental drivers, leading to parsimonious predictive models. CO2 and CH4 fluxes, photosynthetically active radiation (PAR), air and soil temperatures, well water level, soil moisture, and porewater pH and salinity were measured during May–October 2013 from four marshes in Waquoit Bay and adjacent estuaries, MA, USA. The salt marshes exhibited high CO2 uptake and low CH4 emission, which did not significantly vary with the nitrogen loading gradient (5–126 kg · ha−1 · year−1) among the salt marshes. Soil temperature was the strongest driver of both fluxes, representing 2 and 4–5 times higher influence than PAR and salinity, respectively. Well water level, soil moisture, and pH did not have a predictive control on the GHG fluxes, although both fluxes were significantly higher during high tides than low tides. The results were leveraged to develop emergent power law‐based parsimonious scaling models to accurately predict the salt marsh GHG fluxes from PAR, soil temperature, and salinity (Nash‐Sutcliffe Efficiency = 0.80–0.91). The scaling models are available as a user‐friendly Excel spreadsheet named Coastal Wetland GHG Model to explore scenarios of GHG fluxes in tidal marshes under a changing climate and environment.
","language":"English","publisher":"AGU","doi":"10.1029/2018JG004556","usgsCitation":"Abdul-Aziz, O.I., Ishitaq, K.S., Tang, J., Moseman-Valtierra, S., Kroeger, K.D., Gonneea Eagle, M., Mora, J., and Morkeski, K., 2018, Environmental controls, emergent scaling, and predictions of greenhouse gas (GHG) fluxes in coastal salt marshes: Journal of Geophysical Research G: Biogeosciences, v. 123, no. 7, p. 2234-2256, https://doi.org/10.1029/2018JG004556.","productDescription":"23 p.","startPage":"2234","endPage":"2256","ipdsId":"IP-093072","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004556","text":"Publisher Index Page"},{"id":359427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.5,\n 41.54301946112854\n ],\n [\n -70.5833,\n 41.54301946112854\n ],\n [\n -70.5833,\n 41.5833\n ],\n [\n -70.5,\n 41.5833\n ],\n [\n -70.5,\n 41.54301946112854\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"7","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-28","publicationStatus":"PW","scienceBaseUri":"5bed4274e4b0b3fc5cf91c90","contributors":{"authors":[{"text":"Abdul-Aziz, Omar I.","contributorId":192386,"corporation":false,"usgs":false,"family":"Abdul-Aziz","given":"Omar","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":751228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ishitaq, Khandker S.","contributorId":210612,"corporation":false,"usgs":false,"family":"Ishitaq","given":"Khandker","email":"","middleInitial":"S.","affiliations":[{"id":38119,"text":"Ecological and Water Resources Engineering Laboratory (EWREL), Department of Civil and Environmental Engineering, West Virginia University, 395 Evansdale Drive, PO Box 6103, Morgantown, WV 26506,","active":true,"usgs":false}],"preferred":false,"id":751229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tang, Jianwu","contributorId":174890,"corporation":false,"usgs":false,"family":"Tang","given":"Jianwu","email":"","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":751230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moseman-Valtierra, Serena","contributorId":140087,"corporation":false,"usgs":false,"family":"Moseman-Valtierra","given":"Serena","email":"","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":751231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":751232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751233,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mora, Jordan","contributorId":208060,"corporation":false,"usgs":false,"family":"Mora","given":"Jordan","email":"","affiliations":[{"id":37699,"text":"Waquoit Bay National Estuarine Research Reserve, Waquoit, Mass","active":true,"usgs":false}],"preferred":false,"id":751234,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morkeski, Kate","contributorId":210613,"corporation":false,"usgs":false,"family":"Morkeski","given":"Kate","email":"","affiliations":[{"id":38120,"text":"Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, 266 Woods Hole Road, Woods Hole, MA 02543, USA","active":true,"usgs":false}],"preferred":false,"id":751235,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70237369,"text":"70237369 - 2018 - Sensitivity of streamflow to climate change in California","interactions":[],"lastModifiedDate":"2022-10-11T19:03:35.957365","indexId":"70237369","displayToPublicDate":"2018-07-01T14:00:30","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1246,"text":"Climate Change","onlineIssn":"1573-1480","printIssn":"0165-0009","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of streamflow to climate change in California","docAbstract":"Climate change is rapidly altering the global water cycle, exposing vulnerabilities in both social and environmental systems. However, uncertainty in future climate predictions makes it difficult to design and evaluate strategies for building climate resilience. In regions such as California, characterized by stressed water-supply systems, high natural climate variability, and substantial uncertainty in future precipitation projections, alternative approaches to assessing climate risks may be useful. Here, we develop a hydrologic sensitivity approach to estimate regional streamflow responses to climate change in California. We use statistical models to predict monthly streamflow from physical catchment features and evaluate how flow changes with incremental changes in precipitation and temperature. The results indicate unique regional and monthly flow responses to climate change, with early summer flows (May - July) in interior mountain region having the greatest sensitivity to temperature and winter flow (December - March) in the xeric region having the greatest sensitivity to precipitation. When evaluated over the range of global climate model projections for mid-century (2040-2069), models generally suggest shifts in streamflow regimes towards higher wet season flows and lower dry season flows relative to historical conditions. The sensitivity analysis provides insight into catchment- and regional-scale hydrologic responses in California and complements other approaches for understanding the consequences of climatic change for water and risk management.","language":"English","publisher":"Springer","doi":"10.1007/s10584-018-2244-9","usgsCitation":"Grantham, T.E., Carlisle, D.M., McCabe, G.J., and Howard, J., 2018, Sensitivity of streamflow to climate change in California: Climate Change, v. 149, p. 427-441, https://doi.org/10.1007/s10584-018-2244-9.","productDescription":"15 p.","startPage":"427","endPage":"441","ipdsId":"IP-092091","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":408180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"149","noUsgsAuthors":false,"publicationDate":"2018-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Grantham, Theodore E. W. tgrantham@usgs.gov","contributorId":297482,"corporation":false,"usgs":false,"family":"Grantham","given":"Theodore","email":"tgrantham@usgs.gov","middleInitial":"E. W.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":854284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":854285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":854286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Howard, Jeanette K.","contributorId":297483,"corporation":false,"usgs":false,"family":"Howard","given":"Jeanette K.","affiliations":[{"id":27697,"text":"The Nature Conservency","active":true,"usgs":false}],"preferred":false,"id":854287,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198676,"text":"70198676 - 2018 - Comparative nest survival of three sympatric loon species breeding in the Arctic","interactions":[],"lastModifiedDate":"2018-08-15T13:53:17","indexId":"70198676","displayToPublicDate":"2018-07-01T13:53:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparative nest survival of three sympatric loon species breeding in the Arctic","docAbstract":"Identifying factors influencing nest survival among sympatric species is important for understanding and managing sources of variation in population dynamics of individual species. Three species of loons nest sympatrically in northern Alaska and differ in body size, life history characteristics, and population trends. We tested the effects of competition, nest site selection, and water level variations on nest survival of Pacific Gavia pacifica, yellow‐billed G. adamsii, and red‐throated loons G. stellata on the Arctic Coastal Plain in Alaska. Although overall nest survival rates did not differ between species, the factors influencing nest survival varied. Nest site selection influenced nest survival for Pacific and yellow‐billed loons, with both species having high nest survival when nesting on islands and peninsulas, likely due to a reduction in access by terrestrial predators. However, on mainland shorelines, Pacific loons had lower nest survival than yellow‐billed loons, and used a higher proportion of vegetation mats for nest sites suggesting that their smaller body size makes them less adept at nest defense. Nest site selection did not influence nest survival of red‐throated loons corresponding to our result of no nest site preferences by this species. Initiation date had a strong influence on nest survival for Pacific and yellow‐billed loons with nests laid earlier having higher survival. Pacific and yellow‐billed loon nests were susceptible to flooding due to precipitation, which contrasted with red‐throated loons that nest on smaller lakes with lower water level variations. Competition did not affect nest survival for any of the species likely due to most territorial encounters occurring prior to incubation. The only influence we found on red‐throated loon nest survival was differences among years. Our results indicate that loons chose nest sites based on predation risk and that factors influencing breeding success of closely related species may differ under similar breeding conditions.
","language":"English","publisher":"Wiley","doi":"10.1111/jav.01671","usgsCitation":"Uher-Koch, B.D., Koch, J.C., Wright, K.G., and Schmutz, J.A., 2018, Comparative nest survival of three sympatric loon species breeding in the Arctic: Journal of Avian Biology, v. 49, no. 7, p. 1-15, https://doi.org/10.1111/jav.01671.","productDescription":"e01671; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-090934","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":499979,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/5ae4f5eb63564114b5a16aec9f3f4b8a","text":"External Repository"},{"id":437834,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74F1Q0D","text":"USGS data release","linkHelpText":"Pacific (Gavia pacifica), Yellow-billed (G. adamsii), and Red-throated Loon (G. stellata) Nest Monitoring Data; National Petroleum Reserve-Alaska, 2011-2014"},{"id":356517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157,\n 70.33\n ],\n [\n -153,\n 70.33\n ],\n [\n -153,\n 71.33\n ],\n [\n -157,\n 71.33\n ],\n [\n -157,\n 70.33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-18","publicationStatus":"PW","scienceBaseUri":"5b98a2a2e4b0702d0e842f9c","contributors":{"authors":[{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":742522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Kenneth G.","contributorId":207044,"corporation":false,"usgs":false,"family":"Wright","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":742524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":742525,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200629,"text":"70200629 - 2018 - Direct observations of hydrologic exchange occurring with less‐mobile porosity and the development of anoxic microzones in sandy lakebed sediments","interactions":[],"lastModifiedDate":"2018-10-25T12:33:42","indexId":"70200629","displayToPublicDate":"2018-07-01T12:33:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Direct observations of hydrologic exchange occurring with less‐mobile porosity and the development of anoxic microzones in sandy lakebed sediments","docAbstract":"Quantifying coupled mobile/less‐mobile porosity dynamics is critical to the prediction of biogeochemical storage, release, and transformation processes in the zone where groundwater and surface water exchange. The recent development of fine‐scale geoelectrical monitoring paired with pore‐water sampling in groundwater systems enables direct characterization of hydrologic exchange between more‐ and less‐mobile porosity during tracer tests. We adapt this technique to sandy interface sediments at a groundwater flow‐through kettle lake. Tracer experiments were conducted within controlled‐head permeameters over a range of specified downward flow conditions over several days. Although the bed was predominantly composed of highly permeable sands and gravels, cobble inclusions created less‐mobile flow zones at the centimeter scale. Less‐mobile porosity fractions, residence times, and rates of exchange were inferred from paired bulk and fluid electrical conductivity data, without the need for inverse model calibration. The conservative solute experiments were paired with 15NO3− and other reactive amendments, revealing anaerobic processes occurring at shallow sediment depths where pore‐water sampling indicated bulk‐oxic conditions. The average less‐mobile porosity residence times as evaluated with the geoelectrical method were on 1‐hr timescales, which appear to be biogeochemically important in the context of creating anoxic microzones within less‐mobile porosity of sandy interface sediments.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR022823","usgsCitation":"Briggs, M.A., Day-Lewis, F.D., Dehkordy, F.M., Hampton, T.B., Zarnetske, J.P., Scruggs, C.R., Singha, K., Harvey, J.W., and Lane, J., 2018, Direct observations of hydrologic exchange occurring with less‐mobile porosity and the development of anoxic microzones in sandy lakebed sediments: Water Resources Research, v. 54, no. 7, p. 4714-4729, https://doi.org/10.1029/2018WR022823.","productDescription":"16 p.","startPage":"4714","endPage":"4729","ipdsId":"IP-097710","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018wr022823","text":"Publisher Index Page"},{"id":358819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-11","publicationStatus":"PW","scienceBaseUri":"5c10a985e4b034bf6a7e526c","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":749748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":749749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dehkordy, Farzaneh Mahmood Poor","contributorId":210071,"corporation":false,"usgs":false,"family":"Dehkordy","given":"Farzaneh","email":"","middleInitial":"Mahmood Poor","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":749750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hampton, Tyler B.","contributorId":210072,"corporation":false,"usgs":false,"family":"Hampton","given":"Tyler","email":"","middleInitial":"B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":749751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zarnetske, Jay P.","contributorId":210073,"corporation":false,"usgs":false,"family":"Zarnetske","given":"Jay","email":"","middleInitial":"P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":749752,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scruggs, Courtney R. 0000-0002-1744-3233 cscruggs@usgs.gov","orcid":"https://orcid.org/0000-0002-1744-3233","contributorId":190406,"corporation":false,"usgs":true,"family":"Scruggs","given":"Courtney","email":"cscruggs@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":749753,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":749754,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":749755,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":749756,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70197865,"text":"70197865 - 2018 - Applying high-resolution imagery to evaluate restoration-induced changes in stream condition, Missouri River Headwaters Basin, Montana","interactions":[],"lastModifiedDate":"2018-08-07T12:15:35","indexId":"70197865","displayToPublicDate":"2018-07-01T12:15:30","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Applying high-resolution imagery to evaluate restoration-induced changes in stream condition, Missouri River Headwaters Basin, Montana","docAbstract":"Degradation of streams and associated riparian habitat across the Missouri River Headwaters Basin has motivated several stream restoration projects across the watershed. Many of these projects install a series of beaver dam analogues (BDAs) to aggrade incised streams, elevate local water tables, and create natural surface water storage by reconnecting streams with their floodplains. Satellite imagery can provide a spatially continuous mechanism to monitor the effects of these in-stream structures on stream surface area. However, remote sensing-based approaches to map narrow (e.g., <5 m wide) linear features such as streams have been under-developed relative to efforts to map other types of aquatic systems, such as wetlands or lakes. We mapped pre- and post-restoration (one to three years post-restoration) stream surface area and riparian greenness at four stream restoration sites using Worldview-2 and 3 images as well as a QuickBird-2 image. We found that panchromatic brightness and eCognition-based outputs (0.5 m resolution) provided high-accuracy maps of stream surface area (overall accuracy ranged from 91% to 99%) for streams as narrow as 1.5 m wide. Using image pairs, we were able to document increases in stream surface area immediately upstream of BDAs as well as increases in stream surface area along the restoration reach at Robb Creek, Alkali Creek and Long Creek (South). Although Long Creek (North) did not show a net increase in stream surface area along the restoration reach, we did observe an increase in riparian greenness, suggesting increased water retention adjacent to the stream. As high-resolution imagery becomes more widely collected and available, improvements in our ability to provide spatially continuous monitoring of stream systems can effectively complement more traditional field-based and gage-based datasets to inform watershed management.
","language":"English","publisher":"MDPI","doi":"10.3390/rs10060913","usgsCitation":"Vanderhoof, M.K., and Burt, C., 2018, Applying high-resolution imagery to evaluate restoration-induced changes in stream condition, Missouri River Headwaters Basin, Montana: Remote Sensing, v. 10, no. 6, p. 1-28, https://doi.org/10.3390/rs10060913.","productDescription":"Article 913; 28 p.","startPage":"1","endPage":"28","ipdsId":"IP-097220","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468616,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs10060913","text":"Publisher Index Page"},{"id":437835,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F9618G","text":"USGS data release","linkHelpText":"Data release for Applying high-resolution imagery to evaluate restoration-induced changes in stream condition, Missouri River Headwaters Basin, Montana"},{"id":356280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Missouri River Headwaters Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.4167,\n 44.5\n ],\n [\n -111.8333,\n 44.5\n ],\n [\n -111.8333,\n 45.1667\n ],\n [\n -112.4167,\n 45.1667\n ],\n [\n -112.4167,\n 44.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-09","publicationStatus":"PW","scienceBaseUri":"5b6fc41be4b0f5d57878e9ef","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":738807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burt, Clifton 0000-0001-5213-800X","orcid":"https://orcid.org/0000-0001-5213-800X","contributorId":205903,"corporation":false,"usgs":false,"family":"Burt","given":"Clifton","affiliations":[],"preferred":false,"id":738808,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200387,"text":"70200387 - 2018 - Karst hydrogeology of Tuckaleechee Cove and the western Great Smoky Mountains, Tennessee and North Carolina","interactions":[],"lastModifiedDate":"2018-11-27T11:31:31","indexId":"70200387","displayToPublicDate":"2018-07-01T11:31:24","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Karst hydrogeology of Tuckaleechee Cove and the western Great Smoky Mountains, Tennessee and North Carolina","docAbstract":"The geology of Great Smoky Mountains National Park (GRSM) in Tennessee and North Carolina is dominated by siliciclastics and metamorphic strata. However, in the western portion of GRSM, a series of carbonate fensters (windows) expose the Lower Ordovician–age section of the Knox Group, a series of dolomite and limestone units that are partially marbleized as a result of contact metamorphism from the Great Smoky fault. The fensters create opportunities for allogenic recharge to occur at points along the contact of the surrounding insoluble strata with the underlying soluble carbonates. The combination of chemically aggressive surface recharge and vertical relief has resulted in the formation of deep caves, many of which have active streams and water resources. Though the karst is limited in extent and the number of caves is fairly small, the significance of the resources is substantial, with several of the caves in the area over 150 m in depth and at least two being major bat hibernacula. In 2017, the U.S. Geological Survey (USGS) began a study to better understand the hydrologic behavior of these karst systems through hydrologic and geochemical monitoring, groundwater tracing using fluorescent dyes, and seepage runs. Stage and water-quality instrumentation was installed in two caves in GRSM, the main stream of Bull Cave, and in a sump pool in Whiteoak Blowhole, at 173 m and 70 m below land surface, respectively. Following setup of the cave sites, dye injections were conducted to determine discharge points for four of the deep cave systems on Rich Mountain and Turkeypen ridge. Results show water in these systems has an extremely rapid travel time, with tracers detected from caves to springs in less than 24 h for each of the systems. This field guide describes the complex geology, regional hydrogeology, and unique landscape characterized by high-gradient subterranean streams, carbonate fensters, and deep caves of the GRSM karst.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geology at Every Scale: Field Excursions for the 2018 GSA Southeastern Section Meeting, Geological Society of America Field Guide 50","language":"English","publisher":"Geological Society of America","doi":"10.1130/2018.0050(03)","isbn":"9780813700502","usgsCitation":"Miller, B., Bradley, M., and Brown, T.L., 2018, Karst hydrogeology of Tuckaleechee Cove and the western Great Smoky Mountains, Tennessee and North Carolina, chap. of Geology at Every Scale: Field Excursions for the 2018 GSA Southeastern Section Meeting, Geological Society of America Field Guide 50, p. 49-60, https://doi.org/10.1130/2018.0050(03).","productDescription":"12 p.","startPage":"49","endPage":"60","ipdsId":"IP-092132","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":359714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","otherGeospatial":"Great Smoky Mountains, Tuckaleechee Cove","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bfe65e3e4b0815414ca60fa","contributors":{"authors":[{"text":"Miller, Benjamin 0000-0003-4795-3442 bvmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-4795-3442","contributorId":197345,"corporation":false,"usgs":true,"family":"Miller","given":"Benjamin","email":"bvmiller@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Mike 0000-0002-2979-265X mbradley@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-265X","contributorId":582,"corporation":false,"usgs":true,"family":"Bradley","given":"Mike","email":"mbradley@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Teresa L.","contributorId":210772,"corporation":false,"usgs":false,"family":"Brown","given":"Teresa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":751906,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198758,"text":"70198758 - 2018 - Message in a bottle: The story of drifting plastic in the eastern Mediterranean Sea","interactions":[],"lastModifiedDate":"2018-08-20T10:38:21","indexId":"70198758","displayToPublicDate":"2018-07-01T10:32:44","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3707,"text":"Waste Management","active":true,"publicationSubtype":{"id":10}},"title":"Message in a bottle: The story of drifting plastic in the eastern Mediterranean Sea","docAbstract":"The Mediterranean Sea is a closed basin with limited water exchange through the Strait of Gibraltar, and sites along its shores show the greatest densities of marine debris in the world. Plastic bottles, which are a growing concern due to high consumption of soft drinks and bottled water, constitute most of the floating marine debris. In this paper we present the transport mechanisms of floating marine debris to and from the Israeli coast using an experimental offshore release and recovery of plastic bottles, with the participation of citizens. Many bottles released near the beach in the south part of Israel, returned to the beach at a short distance and time from the release point. Some release locations had no bottle returns. Ten bottles, released from three locations, were recovered many dozens to hundreds of kilometers from the release point. Since most of the westward water flow in the eastern Mediterranean is subsurface, it was not surprising to find our floating debris only in the east. That makes the Levant basin in the eastern Mediterranean a collection area for floating debris.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.wasman.2018.04.034","usgsCitation":"Pasternak, G., Zviely, D., Ariel, A., Spanier, E., and Ribic, C., 2018, Message in a bottle: The story of drifting plastic in the eastern Mediterranean Sea: Waste Management, v. 77, p. 67-77, https://doi.org/10.1016/j.wasman.2018.04.034.","productDescription":"11 p.","startPage":"67","endPage":"77","ipdsId":"IP-091991","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mediterranean Sea","volume":"77","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2a2e4b0702d0e842f9e","contributors":{"authors":[{"text":"Pasternak, Galia","contributorId":192017,"corporation":false,"usgs":false,"family":"Pasternak","given":"Galia","email":"","affiliations":[],"preferred":false,"id":743062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zviely, Dov","contributorId":192018,"corporation":false,"usgs":false,"family":"Zviely","given":"Dov","email":"","affiliations":[],"preferred":false,"id":743063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ariel, Asaf","contributorId":192019,"corporation":false,"usgs":false,"family":"Ariel","given":"Asaf","email":"","affiliations":[],"preferred":false,"id":743064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spanier, Ehud","contributorId":192020,"corporation":false,"usgs":false,"family":"Spanier","given":"Ehud","email":"","affiliations":[],"preferred":false,"id":743065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":742873,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199081,"text":"70199081 - 2018 - Insights from long-term ungrazed and grazed watersheds in a salt desert Colorado Plateau ecosystem","interactions":[],"lastModifiedDate":"2018-08-31T10:16:25","indexId":"70199081","displayToPublicDate":"2018-07-01T10:16:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Insights from long-term ungrazed and grazed watersheds in a salt desert Colorado Plateau ecosystem","docAbstract":"Dryland ecosystems cover over 41% of the earth’s land surface, and living within these important ecosystems are approximately 2 billion people, a large proportion of whom are subsistence agropastoralists. Improper grazing in drylands can negatively impact ecosystem productivity, soil conservation, hydrologic processes, downstream water quantity and quality, and ultimately human health and economic well-being. Concerns regarding the degraded state of western US rangelands in the 1950s resulted in an interagency committee to study the effects of land use on runoff and erosion processes. In 1953, a federal research group established four paired watersheds in western Colorado to study the interaction of grazing by domestic livestock, runoff, and sediment yield. Exclusion of livestock from half of the watersheds dramatically reduced runoff and sediment yield after the first 10 yr—primarily due to changes in ground cover but not vegetation. Here, we report results of repeated soils and vegetation assessments of the experimental watersheds after more than 50 yr of grazing exclusion. Results show that many of the differences in soil conditions between grazed and ungrazed watersheds observed in the 1950s and 1960s were still present in 2004, despite reduced numbers of livestock: few differences in vegetation cover but large differences in biological soil crusts, soil stability, soil compaction, and soil biogeochemistry. There were differences among soil types in response to grazing history, especially soil lichen cover and soil organic matter, nitrogen, and sodium. Comparisons of ground cover measured in 2004 with those measured in 1953, 1966, and 1972 suggest much of the differences between grazed and ungrazed watersheds likely were driven by high sheep numbers during droughts in the 1950s. Persistence of these differences, despite large reductions in stocking rates, suggest the combination of overgrazing and drought may have pushed these salt desert ecosystems into a persistent, degraded ecological state.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2018.02.007","usgsCitation":"Duniway, M.C., Geiger, E.L., Minnick, T.J., Phillips, S.L., and Belnap, J., 2018, Insights from long-term ungrazed and grazed watersheds in a salt desert Colorado Plateau ecosystem: Rangeland Ecology and Management, v. 71, no. 4, p. 492-505, https://doi.org/10.1016/j.rama.2018.02.007.","productDescription":"14 p.","startPage":"492","endPage":"505","ipdsId":"IP-092926","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468617,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10150/671075","text":"Publisher Index Page"},{"id":437836,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72Z14V4","text":"USGS data release","linkHelpText":"Vegetation and Soils Data from Grazed and Ungrazed Watersheds in the Badger Wash Study Area, Colorado, USA"},{"id":356985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Salt Desert Colorado Plateau Ecosystem","volume":"71","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2a2e4b0702d0e842fa0","contributors":{"authors":[{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geiger, Erika L. 0000-0003-4546-3503","orcid":"https://orcid.org/0000-0003-4546-3503","contributorId":207502,"corporation":false,"usgs":true,"family":"Geiger","given":"Erika","email":"","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minnick, Tamera J.","contributorId":207503,"corporation":false,"usgs":false,"family":"Minnick","given":"Tamera","email":"","middleInitial":"J.","affiliations":[{"id":37549,"text":"Department of Physical and Environmental Sciences, Colorado Mesa University, Grand Junction, Colorado 81501","active":true,"usgs":false}],"preferred":false,"id":743974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Susan L. 0000-0002-5891-8485 sue_phillips@usgs.gov","orcid":"https://orcid.org/0000-0002-5891-8485","contributorId":717,"corporation":false,"usgs":true,"family":"Phillips","given":"Susan","email":"sue_phillips@usgs.gov","middleInitial":"L.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":743972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743973,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201487,"text":"70201487 - 2018 - Simulation of less‐mobile porosity dynamics in contrasting sediment water interface porous media","interactions":[],"lastModifiedDate":"2018-12-14T13:22:53","indexId":"70201487","displayToPublicDate":"2018-06-30T13:22:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of less‐mobile porosity dynamics in contrasting sediment water interface porous media","docAbstract":"Considering heterogeneity in porous media pore size and connectivity is essential to predicting reactive solute transport across interfaces. However, exchange with less‐mobile porosity is rarely considered in surface water/groundwater recharge studies. Previous research indicates that a combination of pore‐fluid sampling and geoelectrical measurements can be used to quantify less‐mobile porosity exchange dynamics using the time‐varying relation between fluid and bulk electrical conductivity. For this study, we use macro‐scale (10 s of cm) advection–dispersion solute transport models linked with electrical conduction in COMSOL Multiphysics to explore less‐mobile porosity dynamics in two different types of observed sediment water interface porous media. Modeled sediment textures contrast from strongly layered streambed deposits to poorly sorted lakebed sands and cobbles. During simulated ionic tracer perturbations, a lag between fluid and bulk electrical conductivity, and the resultant hysteresis, is observed for all simulations indicating differential loading of pore spaces with tracer. Less‐mobile exchange parameters are determined graphically from these tracer time series data without the need for inverse numerical model simulation. In both sediment types, effective less‐mobile porosity exchange parameters are variable in response to changes in flow direction and fluid flux. These observed flow‐dependent effects directly impact local less‐mobile residence times and associated contact time for biogeochemical reaction. The simulations indicate that for the sediment textures explored here, less‐mobile porosity exchange is dominated by variable rates of advection through the domain, rather than diffusion of solute, for typical low‐to‐moderate rate (approximately 3–40 cm/day) hyporheic fluid fluxes. Overall, our model‐based results show that less‐mobile porosity may be expected in a range of natural hyporheic sediments and that changes in flowpath orientation and magnitude will impact less‐mobile exchange parameters. These temporal dynamics can be assessed with the geoelectrical experimental tracer method applied at laboratory and field scales.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13134","usgsCitation":"Dehkordy, F.M., Briggs, M.A., Day-Lewis, F.D., and Bagtzoglou, A.C., 2018, Simulation of less‐mobile porosity dynamics in contrasting sediment water interface porous media: Hydrological Processes, v. 32, no. 13, p. 2030-2043, https://doi.org/10.1002/hyp.13134.","productDescription":"14 p.","startPage":"2030","endPage":"2043","ipdsId":"IP-095854","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":360327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"13","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-26","publicationStatus":"PW","scienceBaseUri":"5c14cfb8e4b006c4f8545d39","contributors":{"authors":[{"text":"Dehkordy, Farzaneh MahmoodPoor","contributorId":211500,"corporation":false,"usgs":false,"family":"Dehkordy","given":"Farzaneh","email":"","middleInitial":"MahmoodPoor","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":754313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":754312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":754314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bagtzoglou, Amvrossios C.","contributorId":211518,"corporation":false,"usgs":false,"family":"Bagtzoglou","given":"Amvrossios","email":"","middleInitial":"C.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":754315,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196874,"text":"ofr20181080 - 2018 - An evaluation of the toxicity of potassium chloride, active compound in the molluscicide potash, on salmonid fish and their forage base","interactions":[],"lastModifiedDate":"2024-03-04T19:10:11.253189","indexId":"ofr20181080","displayToPublicDate":"2018-06-29T07:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1080","title":"An evaluation of the toxicity of potassium chloride, active compound in the molluscicide potash, on salmonid fish and their forage base","docAbstract":"Potash, with the active ingredient potassium chloride (KCl) is a chemical that is currently being evaluated for potential use as a molluscicide to combat invasive zebra mussels and quagga mussels in Western United States waters. Although data available for other freshwater fishes indicate that recommended treatment levels of potash as a molluscicide are sublethal, this has not been demonstrated for all salmonid species. The objectives of this study were to perform toxicity testing to determine the lethality of potassium chloride against selected species of salmonid fish (brook trout and Chinook salmon) and selected invertebrate forage, and to identify any potential adverse physiological impacts of KCl to these salmonids in water at treatment levels used for mollusk eradication. Minimal mortality (n=1 fish) was observed during 96-hour toxicity testing at KCl concentrations of 0 to 800 milligrams per liter (mg/L), indicating that the lethal concentration (LC50) values in these salmonid species were considerably higher than realistic molluscicide treatment concentrations. Sublethal effects were examined through evaluation of behavioral and morphological (histological) observation as well as specific blood chemistry parameters (electrolytes, osmolality, glucose, and cortisol). There was no strong evidence of significant physiological impairment among the two salmonid species due to KCl exposure. Whereas statistically significant differences in some parameters were observed in association with KCl treatments, it is unlikely that these differences indicate adverse biological impacts. Acute toxicity tests were conducted with invertebrate species at KCl exposure concentrations of 0–3,200 mg/L. Daphniid exposure trials resulted in differences in mortality among the test groups with higher mortality evident among the higher KCl exposure concentrations with a calculated LC50 value of 196 mg/L KCl for a 48-hour exposure. Crayfish exposed to higher concentrations of KCl at or above 800 mg/L as specimens exhibited death or reversible paralysis. Chironomid larvae exposures were largely inconclusive because of cannibalistic behavior among the various test groups.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181080","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Densmore, C.L., Iwanowicz, L.R., Henderson, A.P., Blazer, V.S., Reed-Grimmett, B.M., and Sanders, L.R., 2018, \nAn evaluation of the toxicity of potassium chloride, active compound in the molluscicide potash, on salmonid fish and their forage base: U.S. Geological Survey Open-File Report 2018–1080, 33 p., https://doi.org/10.3133/ofr20181080.","productDescription":"Report: viii, 33 p.; Data release","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-092981","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":355322,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HQ3Z5G","text":"USGS data release","description":"USGS data release","linkHelpText":"Toxicity of potassium chloride, active compound in the molluscicide potash, on salmonid fishes and their forage base (Leetown Science Center, 2018)"},{"id":355290,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1080/ofr20181080.pdf","text":"Report","size":"1.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1080"},{"id":355289,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1080/coverthb.jpg"}],"contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430
The U.S. Geological Survey Precipitation Chemistry Quality Assurance project operated five distinct programs to provide external quality assurance monitoring for the National Atmospheric Deposition Program’s (NADP) National Trends Network and Mercury Deposition Network during 2015–16. The National Trends Network programs include (1) a field audit program to evaluate sample contamination and stability, (2) an interlaboratory comparison program to evaluate analytical laboratory performance, and (3) a colocated sampler program to evaluate bias and variability attributed to automated precipitation samplers. The Mercury Deposition Network programs include the (4) system blank program and (5) an interlaboratory comparison program. The results indicate that NADP data continue to be of sufficient quality for the analysis of spatial distributions and time trends for chemical constituents in wet deposition.
The field audit program results indicate increased sample contamination for calcium, magnesium, and potassium relative to 2010 levels, and slight fluctuation in sodium contamination. Nitrate contamination levels dropped slightly during 2014–16, and chloride contamination leveled off between 2007 and 2016. Sulfate contamination is similar to the 2000 level. Hydrogen ion contamination has steadily decreased since 2012. Losses of ammonium and nitrate resulting from potential sample instability were negligible.
The NADP Central Analytical Laboratory produced interlaboratory comparison results with low bias and variability compared to other domestic and international laboratories that support atmospheric deposition monitoring. Significant absolute bias above the magnitudes of the detection limits was observed for nitrate and sulfate concentrations, but no analyte determinations exceeded the detection limits for blanks.
Colocated sampler program results from dissimilar colocated collectors indicate that the retrofit of the National Trends Network with N-CON Systems Company, Inc. precipitation collectors could cause substantial shifts in NADP annual deposition (concentration multiplied by depth) values. Median weekly relative percent differences for analyte concentrations ranged from -4 to +76 percent for cations, from 5 to 6 percent for ammonium, from +14 to +25 percent for anions, and from -21 to +8 percent for hydrogen ion contamination. By comparison, weekly absolute concentration differences for paired identical N-CON Systems Company, Inc., collectors ranged from 4–22 percent for cations; 2–9 percent for anions; 4–5 percent for ammonium; and 13–14 percent for hydrogen ion contamination. The N-CON Systems Company, Inc. collector caught more precipitation than the Aerochem Metrics Model 301 collector (ACM) at the WA99/99WA sites, but it typically caught slightly less precipitation than the ACM at ND11/11ND, sites which receive more wind and snow than WA99/99WA.
Paired, identical OTT Pluvio-2 and ETI Noah IV precipitation gages were operated at the same sites. Median absolute percent differences for daily measured precipitation depths ranged from 0 to 7 percent. Annual absolute differences ranged from 0.08 percent (ETI Noah IV precipitation gages) to 11 percent (OTT Pluvio-2 precipitation gages).
The Mercury Deposition Network programs include the system blank program and an interlaboratory comparison program. System blank results indicate that maximum total mercury contamination concentrations in samples were less than the third percentile of all Mercury Deposition Network sample concentrations (1.098 nanograms per liter; ng/L). The Mercury Analytical Laboratory produced chemical concentration results with low bias and variability compared with other domestic and international laboratories that support atmospheric-deposition monitoring. The laboratory’s performance results indicate a +1-ng/L shift in bias between 2015 (-0.4 ng/L) and 2016 (+0.5 ng/L).
Branch Chief, Hydrologic Networks Branch, Observing Systems Division
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
A new sulfur isotope stratigraphic profile has been developed for Ordovician-Silurian mudstones that host the Howards Pass Zn-Pb deposits (Canada) in an attempt to reconcile the traditional model of a stagnant euxinic basin setting with new contradictory findings. Our analyses of pyrite confirm the up-section 34S enrichment reported previously, but additional observations show parallel depletion of carbonate 13C, an increase in organic carbon weight percent, and a change in pyrite morphology. Taken together, the data suggest that the 34S enrichment reflects a transition in the mechanism of pyrite formation during diagenesis, not isotopic evolution of a stagnant water mass. Low in the stratigraphic section, pyrite formed mainly in the sulfate reduction zone in association with organic matter–driven bacterial sulfate reduction. In contrast, starting just below the Zn-Pb mineralized horizon, pyrite formed increasingly within the sulfate-methane transition zone in association with anaerobic oxidation of methane. Our new insights on diagenesis have implications for (1) the setting of Zn-Pb ore formation, (2) the reliability of redox proxies involving metals, and (3) the source of ore sulfur for Howards Pass, and potentially for other stratiform Zn-Pb deposits contained in carbonaceous strata.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G40274.1","usgsCitation":"Johnson, C.A., Slack, J.F., Dumoulin, J.A., Kelley, K.D., and Falck, H., 2018, Sulfur isotopes of host strata for Howards Pass (Yukon–Northwest Territories) Zn-Pb deposits implicate anaerobic oxidation of methane, not basin stagnation: Geology, v. 46, no. 7, p. 619-622, https://doi.org/10.1130/G40274.1.","productDescription":"4 p.","startPage":"619","endPage":"622","ipdsId":"IP-092844","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":437841,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WS3IS0","text":"USGS data release","linkHelpText":"Isotope and chemical data for: Sulfur isotopes of host strata for Howards Pass (Yukon-Northwest Territories) Zn-Pb deposits implicate anaerobic oxidation of methane not basin stagnation"},{"id":437840,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WS3IS0","text":"USGS data release","linkHelpText":"Isotope and chemical data for: Sulfur isotopes of host strata for Howards Pass (Yukon-Northwest Territories) Zn-Pb deposits implicate anaerobic oxidation of methane not basin stagnation"},{"id":355408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Northwest Territories, Yukon","otherGeospatial":" Howards Pass","volume":"46","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-07","publicationStatus":"PW","scienceBaseUri":"5b46e54be4b060350a15d0ab","contributors":{"authors":[{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":739307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":739308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":739309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, Karen Duttweiler 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":192758,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"Duttweiler","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falck, Hendrik","contributorId":167705,"corporation":false,"usgs":false,"family":"Falck","given":"Hendrik","email":"","affiliations":[{"id":24811,"text":"NWT Geoscience Office, Yellowknife, Canada","active":true,"usgs":false}],"preferred":false,"id":739311,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198103,"text":"70198103 - 2018 - Effect of climate change on disease spread in wildlife","interactions":[],"lastModifiedDate":"2020-08-19T20:23:59.281937","indexId":"70198103","displayToPublicDate":"2018-06-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"36","title":"Effect of climate change on disease spread in wildlife","docAbstract":"A growing body of evidence indicates that climate change alone, or acting synergistically with current anthropogenic threats, is affecting the health of wild populations of aquatic and terrestrial wildlife. Measurable by-products of climate change include elevated atmospheric concentrations of greenhouse gases, higher average global temperatures; variations in global precipitation patterns, rising and warming oceans, altered hydrographs of rivers, and increased mid-continental drying during summer. These consequences affect the terrestrial environment through shifts in phenology, vegetation cover, and fire regimes. Warmer ocean temperatures, increased acidification, rise in sea levels, and reduction in sea ice cover are also leading to widespread ecological changes in marine systems. Wildlife populations face a variety of climate-related pressures, such as changes in animal distribution or density, limitation of food resources, and alteration to critical habitats. \nThe increased potential for emergence and resurgence of diseases that are responsive to environmental conditions also has implications for wildlife populations. Shifts in temperature or other climatic factors may directly affect the incidence of disease in wildlife by altering host-pathogen interactions, promoting vector populations or allowing new ranges for vectors, or reducing development times for parasites. A number of examples from both field and laboratory studies have demonstrated a clear link between warming environments and disease spread. Many climate-related environmental changes also influence wildlife health indirectly. For example, increasing temperatures, in combination with shifts in rainfall and humidity, may aggravate current trends for water resource limitation and habitat degradation or destruction and lead to increased crowding of animal populations, thereby promoting transmission opportunities of pathogens within populations or across species. \nAlthough it may be difficult to disentangle the influences of other anthropogenic changes from the direct effects of warming, some ecosystems provide especially useful models for studying climate-related disease spread in wildlife. For example, the effects of climate change on parasite dynamics may be easily observed in the Arctic, where environmental changes are occurring rapidly, anthropogenic influences are relatively limited, and biodiversity is generally low. Marine ecosystems are also undergoing rapid rates of change and may be vulnerable to a variety of natural and anthropogenic perturbations. Although many factors affect the health of organisms in ocean environments, temperature has been clearly linked to an increase in disease prevalence among sessile organisms such as corals. \nIn this chapter, we discuss observed and predicted changes to wildlife health resulting from climate change. Our review will not include all aspects of wildlife health, but will instead focus on established or suspected links between climate drivers and disease spread and discuss examples from the current literature. Here, we define disease spread to include: 1) change in geographical or altitudinal distribution of pathogens, parasites, and vectors and the diseases they cause; 2) change in prevalence or severity of disease; and 3) emergence of novel diseases. Additionally, because wildlife species serve as reservoirs for zoonotic diseases that affect both animals and humans, we include select examples of the effect of climate change on the capacity of wildlife to harbor and spread these disease agents.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fowler's Zoo and Wild Animal Medicine Current Therapy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","isbn":"9780323552288","usgsCitation":"Hofmeister, E.K., and Van Hemert, C.R., 2018, Effect of climate change on disease spread in wildlife, chap. 36 of Fowler's Zoo and Wild Animal Medicine Current Therapy, p. 247-254.","productDescription":"8 p.","startPage":"247","endPage":"254","ipdsId":"IP-084742","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":355686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355684,"type":{"id":15,"text":"Index Page"},"url":"https://www.us.elsevierhealth.com/miller-fowlers-zoo-and-wild-animal-medicine-current-therapy-volume-9-9780323552288.html"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc41ce4b0f5d57878e9f9","contributors":{"authors":[{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":740032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":740033,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70197952,"text":"70197952 - 2018 - Pharmaceuticals, hormones, pesticides, and other bioactive contaminants in water, sediment, and tissue from Rocky Mountain National Park, 2012–2013","interactions":[],"lastModifiedDate":"2018-06-28T12:04:10","indexId":"70197952","displayToPublicDate":"2018-06-28T00:00:00","publicationYear":"2018","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":"Pharmaceuticals, hormones, pesticides, and other bioactive contaminants in water, sediment, and tissue from Rocky Mountain National Park, 2012–2013","docAbstract":"Pharmaceuticals, hormones, pesticides, and other bioactive contaminants (BCs) are commonly detected in surface water and bed sediment in urban and suburban areas, but these contaminants are understudied in remote locations. In Rocky Mountain National Park (RMNP), Colorado, USA, BCs may threaten the reproductive success and survival of native aquatic species, benthic communities, and pelagic food webs. In 2012–2013, 67 water, 57 sediment, 63 fish, 10 frog, and 12 quality-control samples (8 water and 4 sediment) were collected from 20 sites in RMNP. Samples were analyzed for 369 parameters including 149 pharmaceuticals, 22 hormones, 137 pesticides, and 61 other chemicals or conditions to provide a representative assessment of BC occurrence within RMNP. Results indicate that BCs were detected in water and/or sediment from both remote and more accessible locations in RMNP. The most commonly detected BCs in water were caffeine, camphor, para-cresol, and DEET; and the most commonly detected BCs in sediment were indole, 3-methyl-1H-indole, para-cresol, and 2,6-dimethyl-naphthalene. Some detected contaminants, including carbaryl, caffeine, and oxycodone, are clearly attributable to direct local human input, whereas others may be transported into the park atmospherically (e.g., atrazine) or have local natural sources (e.g., para-cresol). One or more pharmaceuticals were detected in at least 1 sample from 15 of 20 sites. Most of the 29 detected pharmaceuticals are excreted primarily in human urine, not feces. Elevated net estrogenicity was observed in 18% of water samples, and elevated vitellogenin in blood was observed in 12% of male trout, both evidence of potential endocrine disruption. Hormone concentrations in sediment tended to be greater than concentrations in water. Most BCs were observed at concentrations below those not expected to pose adverse effects to aquatic life. Results indicate that even in remote locations aquatic wildlife can be exposed to pharmaceuticals, hormones, pesticides, and other bioactive contaminants.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.06.150","usgsCitation":"Battaglin, W., Bradley, P.M., Iwanowicz, L.R., Journey, C.A., Walsh, H., and Blazer, V., 2018, Pharmaceuticals, hormones, pesticides, and other bioactive contaminants in water, sediment, and tissue from Rocky Mountain National Park, 2012–2013: Science of the Total Environment, v. 643, p. 651-673, https://doi.org/10.1016/j.scitotenv.2018.06.150.","productDescription":"23 p.","startPage":"651","endPage":"673","ipdsId":"IP-093530","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":460883,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.06.150","text":"Publisher Index Page"},{"id":437843,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XUYMQT","text":"USGS data release","linkHelpText":"Occurrence data for organic compounds and bioactive chemicals in water, sediment and tissue from Rocky Mountain National Park, 2012-13"},{"id":355409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.8333,\n 40.1667\n ],\n [\n -105.5,\n 40.1667\n ],\n [\n -105.5,\n 40.5833\n ],\n [\n -105.8333,\n 40.5833\n ],\n [\n -105.8333,\n 40.1667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"643","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e54be4b060350a15d0ad","contributors":{"authors":[{"text":"Battaglin, William A. 0000-0001-7287-7096","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":204638,"corporation":false,"usgs":true,"family":"Battaglin","given":"William A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":739303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":189681,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Heather L. 0000-0001-6392-4604","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":203238,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":739306,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":739305,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197933,"text":"70197933 - 2018 - Before-after, control-impact analysis of evidence for the impacts of water level on Walleye, Northern Pike and Yellow Perch in lakes of the Rainy-Namakan complex (MN, USA and ON, CA)","interactions":[],"lastModifiedDate":"2018-06-27T13:26:27","indexId":"70197933","displayToPublicDate":"2018-06-27T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Before-after, control-impact analysis of evidence for the impacts of water level on Walleye, Northern Pike and Yellow Perch in lakes of the Rainy-Namakan complex (MN, USA and ON, CA)","docAbstract":"Water level (WL) fluctuations in lakes influence many aspects of ecosystem processes.\nConcern about the potential impact of WL fluctuations on fisheries was one of the factors\nthat motivated the decision in 2000 to alter the management of WL in the Rainy-Namakan\nreservoir complex (on the border between the U.S. state of Minnesota and the Canadian\nprovince of Ontario). We used a Before-After, Control-Impact (BACI) framework to identify\npotential impacts of the change in WL management to Walleye, Northern Pike and Yellow\nPerch catch per unit effort (CPUE). The CPUE of these species from 1990±1999 and from\n2005±2014 were compared in four impact lakes (Lake Kabetogama, Namakan Lake, Rainy\nLake and Sand Point Lake) and two control lakes (Lake of the Woods and Lake Vermilion)\nusing a simple Bayesian model. Changes in fish CPUE in the impact lakes were often similar\nto changes that occurred in at least one control lake. The only change that was not similar to\nchanges in control lakes was an increase of Yellow Perch in Lake Kabetogama. The two\ncontrol lakes often differed substantially from each other, such that if only one had been\navailable our conclusions about the role of WL management on fisheries would be very different.\nIn general, identifying cause-and-effect relationships in observational field data is\nvery difficult, and the BACI analysis used here does not specify a causative mechanism,\nso co-occurring environmental and management changes may obscure the effect of WL\nmanagement.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0198612","usgsCitation":"Larson, J.H., Maki, R., Vondra, B.A., and Peterson, K.E., 2018, Before-after, control-impact analysis of evidence for the impacts of water level on Walleye, Northern Pike and Yellow Perch in lakes of the Rainy-Namakan complex (MN, USA and ON, CA): PLoS ONE, v. 13, no. 6, e0198612; 10 p., https://doi.org/10.1371/journal.pone.0198612.","productDescription":"e0198612; 10 p.","ipdsId":"IP-079647","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0198612","text":"Publisher Index Page"},{"id":355391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Minnesota, Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.1083984375,\n 47.88688085106901\n ],\n [\n -91.40625,\n 47.88688085106901\n ],\n [\n -91.40625,\n 49.809631563563094\n ],\n [\n -96.1083984375,\n 49.809631563563094\n ],\n [\n -96.1083984375,\n 47.88688085106901\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-07","publicationStatus":"PW","scienceBaseUri":"5b46e54ce4b060350a15d0b1","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":739223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, Ryan P.","contributorId":190131,"corporation":false,"usgs":false,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":739224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vondra, Benjamin A.","contributorId":206035,"corporation":false,"usgs":false,"family":"Vondra","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":739225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Kevin E.","contributorId":177489,"corporation":false,"usgs":false,"family":"Peterson","given":"Kevin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":739226,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197932,"text":"70197932 - 2018 - Distribution and foraging patterns of common loons on Lake Michigan with implications for exposure to type E avian botulism","interactions":[],"lastModifiedDate":"2018-06-27T13:29:25","indexId":"70197932","displayToPublicDate":"2018-06-27T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and foraging patterns of common loons on Lake Michigan with implications for exposure to type E avian botulism","docAbstract":"Common loons (Gavia immer) staging on the Great Lakes during fall migration are at risk to episodic outbreaks of type E botulism. Information on distribution, foraging patterns, and exposure routes of loons are needed for understanding the physical and ecological factors that contribute to avian botulism outbreaks. Aerial surveys were conducted to document the spatiotemporal distribution of common loons on Lake Michigan during falls 2011–2013. In addition, satellite telemetry and archival geolocator tags were used to determine the distribution and foraging patterns of individual common loons while using Lake Michigan during fall migration. Common loon distribution observed during aerial surveys and movements of individual radiomarked and/or geotagged loons suggest a seasonal pattern of use, with early fall use of Green Bay and northern Lake Michigan followed by a shift in distribution to southern Lake Michigan before moving on to wintering areas. Common loons tended to occupy offshore areas of Lake Michigan and, on average, spent the majority of daylight hours foraging. Dive depths were as deep as 60 m and dive characteristics suggested that loons were primarily foraging on benthic prey. A recent study concluded that round gobies (Neogobius melanostomus) are an important prey item of common loons and may be involved in transmission of botulinum neurotoxin type E. Loon distribution coincides with the distribution of dreissenid mussel biomass, an important food resource for round gobies. Our observations support speculation that energy transfer to higher trophic levels via gobies may occur in deep-water habitats, along with transfer of botulinum neurotoxin.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.02.004","usgsCitation":"Kenow, K.P., Houdek, S.C., Fara, L., Gray, B.R., Lubinski, B.R., Heard, D.J., Meyer, M.W., Fox, T.J., and Kratt, R., 2018, Distribution and foraging patterns of common loons on Lake Michigan with implications for exposure to type E avian botulism: Journal of Great Lakes Research, v. 44, no. 3, p. 497-513, https://doi.org/10.1016/j.jglr.2018.02.004.","productDescription":"17 p.","startPage":"497","endPage":"513","ipdsId":"IP-088188","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468628,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2018.02.004","text":"Publisher Index Page"},{"id":437844,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70G3JGG","text":"USGS data release","linkHelpText":"Distribution and foraging patterns of common loons on Lake Michigan with implications for exposure to avian botulism: Data"},{"id":355389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, 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One such indirect method is the proximal analog approach, in which premining conditions are estimated using data from nearby mineralized areas that are unaffected by mining. In this paper, we combine the proximal analog approach with a quantitative mass balance framework using data from a spatially-detailed synoptic sampling campaign. The combined approach is applied to Cinnamon Gulch, a headwater stream with numerous draining adits. Synoptic sampling results indicate that three of the top five metal sources are affected by mining activities, and stream segments draining these sources account for a large percentage of overall metal loading within the study reach. These initial calculations overestimate the effects of mining, as the affected stream segments were likely acidic and metal rich prior to mining. Premining loads and concentrations were therefore determined through a replacement approach in which the chemistry of each mining-affected stream segment is revised based on proximal analog concentrations. The revised loading profiles indicate that 15–17% of the Al, Cd, Cu, Mn, Ni, and Zn loads are attributable to mining, whereas the mining contribution for Pb is 40%. Premining concentrations of Al, Cd, Cu, Mn, and Zn are estimated to be in excess of aquatic life standards over the length of the study reach.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2018.04.010","usgsCitation":"Runkel, R.L., Verplanck, P., Kimball, B., and Walton-Day, K., 2018, Cinnamon gulch revisited: Another look at separating natural and mining-impacted contributions to instream metal load: Applied Geochemistry, v. 95, p. 206-217, https://doi.org/10.1016/j.apgeochem.2018.04.010.","productDescription":"12 p.","startPage":"206","endPage":"217","ipdsId":"IP-093823","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":355388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Cinnamon Gulch","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.171875,\n 39.27053717095511\n ],\n [\n -105.40008544921875,\n 39.27053717095511\n ],\n [\n -105.40008544921875,\n 39.791654835253425\n ],\n [\n -106.171875,\n 39.791654835253425\n ],\n [\n -106.171875,\n 39.27053717095511\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e54de4b060350a15d0b5","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":202205,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":739209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimball, Briant bkimball@usgs.gov","contributorId":206033,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":184043,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739211,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}