Environmental endocrine-disrupting compounds (EDCs) are a growing concern as studies reveal their persistence and detrimental effects on wildlife. Microorganisms are known to affect the transformation of steroid EDCs; however, the diversity of estrogen-degrading microorganisms and the range of transformations they mediate remain relatively little studied. In mesocosms, low concentrations of added estrone (E1) and 17β-estradiol (E2) were removed by indigenous microorganisms from Las Vegas Wash water within 2 wk. Three bacterial isolates, Rhizobium sp. strain LVW-9, Sphingopyxis sp. strain LVW-12, and Pseudomonas sp. strain LVW-PC, were enriched from Las Vegas Wash water on E1 and E2 and used for EDC transformation studies. In the presence of alternative carbon sources, LVW-9 and LVW-12 catalyzed near-stoichiometric reduction of E1 to E2 but subsequently reoxidized E2 back to E1; whereas LVW-PC minimally reduced E1 to E2 but effectively oxidized E2 to E1 after a 20-d lag. In the absence of alternative carbon sources, LVW-12 and LVW-PC oxidized E2 to E1. This report documents the rapid and sometimes reversible microbial transformation of E1 and E2 and the slow degradation of 17α-ethinylestradiol in urban stream water and extends the list of known estrogen-transforming bacteria to the genera Rhizobium and Sphingopyxis. These results suggest that discharge of steroid estrogens via wastewater could be reduced through tighter control of redox conditions and may assist in future risk assessments detailing the environmental fate of estrogens through evidence that microbial estrogen transformations may be affected by environmental conditions or growth status.
","language":"English","publisher":"ASA, CSSA, and SSSA","doi":"10.2134/jeq2016.08.0286","usgsCitation":"Blunt, S.M., Benotti, M.J., Rosen, M.R., Hedlund, B., and Moser, D., 2017, Reversible reduction of estrone to 17β-estradiol by Rhizobium, Sphingopyxis, and Pseudomonas isolates from the Las Vegas Wash: Journal of Environmental Quality, v. 46, no. 2, p. 281-287, https://doi.org/10.2134/jeq2016.08.0286.","productDescription":"7 p.","startPage":"281","endPage":"287","ipdsId":"IP-077737","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":339588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Las Vegas Wash","volume":"46","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edb942e4b0eed1ab8c6efb","contributors":{"authors":[{"text":"Blunt, Susanna M.","contributorId":190782,"corporation":false,"usgs":false,"family":"Blunt","given":"Susanna","email":"","middleInitial":"M.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false},{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":690683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benotti, Mark J.","contributorId":190783,"corporation":false,"usgs":false,"family":"Benotti","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":35387,"text":"Southern Nevada Water Authority","active":true,"usgs":false}],"preferred":false,"id":690684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hedlund, Brian","contributorId":190784,"corporation":false,"usgs":false,"family":"Hedlund","given":"Brian","affiliations":[],"preferred":false,"id":690685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moser, Duane","contributorId":190785,"corporation":false,"usgs":false,"family":"Moser","given":"Duane","affiliations":[],"preferred":false,"id":690686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186797,"text":"70186797 - 2017 - Groundwater flow model for the Little Plover River basin in Wisconsin’s Central Sands","interactions":[],"lastModifiedDate":"2017-04-11T10:40:43","indexId":"70186797","displayToPublicDate":"2017-04-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5368,"text":"Bulletin","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"111","title":"Groundwater flow model for the Little Plover River basin in Wisconsin’s Central Sands","docAbstract":"The Little Plover River is a groundwater-fed stream in the sand plains region of central Wisconsin. In this region, sandy sediment deposited during or soon after the last glaciation forms an important unconfined sand and gravel aquifer. This aquifer supplies water for numerous high-capacity irrigation, municipal, and industrial wells that support a thriving agricultural industry. In recent years the addition of many new wells, combined with observed diminished flows in the Little Plover and other nearby rivers, has raised concerns about the impacts of the wells on groundwater levels and on water levels and flows in nearby lakes, streams, and wetlands. Diverse stakeholder groups, including well operators, Growers, environmentalists, local land owners, and regulatory and government officials have sought a better understanding of the local groundwater-surface water system and have a shared desire to balance the water needs of the he liagricultural, industrial, and urban users with the maintenance and protection of groundwater-dependent natural resources. To help address these issues, the Wisconsin Department of Natural Resources requested that the Wisconsin Geological and Natural History Survey and U.S. Geological Survey cooperatively develop a groundwater flow model that could be used to demonstrate the relationships among groundwater, surface water, and well withdrawals and also be a tool for testing and evaluating alternative water management strategies for the central sands region. Because of an abundance of previous studies, data availability, local interest, and existing regulatory constraints the model focuses on the Little Plover River watershed, but the modeling methodology developed during this study can apply to much of the larger central sands of Wisconsin. The
Little Plover River groundwater flow model simulates three-dimensional groundwater movement in and around the Little Plover River basin under steady-state and transient conditions. This model explicitly includes all high-capacity wells in the model domain and simulates seasonal variations in recharge and well pumping. The model represents the Little Plover River, and other significant streams and drainage ditches in the model domain, as fully connected to the groundwater system, computes stream base flow resulting from groundwater discharge, and routes the flow along the stream channel. A separate soil-water-balance (SWB) model was used to develop groundwater recharge arrays as input for the groundwater flow model. The SWB model uses topography, soils, land use, and climatic data to estimate recharge as deep drainage from the soil zone. The SWB model explicitly includes recharge originating as irrigation water, and computes irrigation using techniques similar to those used by local irrigation operators.
The groundwater flow model uses the U.S. Geological Survey’s MODFLOW modeling code which is freely available, widely accepted, and commonly used by the groundwater community. The groundwater flow model and the SWB model use identical high-resolution numerical grids having model cells 100 feet on a side, with physical properties assigned to each grid cell. This grid allows accurate geographic placement of wells, streams, and other model features. The 3-dimensional grid has three layers; layers 1 and 2 represent the sand and gravel aquifer and layer 3 represents the underlying sandstone. The distribution of material properties in the model (hydraulic conductivity, aquifer thickness, etc.) comes from previous published geologic studies of the region, updated by calibration to recent streamflow and groundwater level data. The SWB model operates on a daily time step. The groundwater flow model was calibrated to monthly stress periods with time steps ranging from 1 to 16 days. More detailed time discretization is possible.
The groundwater model was calibrated to water-level and streamflow data collected during 2013 and 2014 by adjusting model parameters (primarily hydraulic conductivity, storage, and recharge) until the model produced a conditionally optimal fit between field observations and model output, subject to consistency with previously published geologic studies. Calibration was performed under both steady and transient conditions, and used a sophisticated parameter-estimation procedure (PEST) for the calibration process and to identify important model parameters. For the Little Plover River, the two most important parameters are the global recharge multiplier and the hydraulic conductivity of the stream bed. The calibrated model produces water-level and mass-balance results that are consistent with field observations and previous studies of the area.
The completed model is a powerful tool for testing and demonstrating alternative water-management scenarios. Example model applications described in this report include simulating how the cumulative impacts of pumping and land-use change have affected average baseflow in the Little Plover River. Depletion-potential mapping represents a method for predicting which wells and well locations have the greatest impact on nearby surface-water resources.
The completed model is publicly available, along with a companion user’s guide to assist with its operation, at http://wgnhs.org/littleplover- river-groundwater-model.
","language":"English","publisher":"Wisconsin Geological and Natural History Survey","publisherLocation":"Madison, WI","usgsCitation":"Bradbury, K., Fienen, M., Kniffin, M., Jacob Krause, Westenbroek, S.M., Leaf, A.T., and Barlow, P.M., 2017, Groundwater flow model for the Little Plover River basin in Wisconsin’s Central Sands: Bulletin 111, Zip file: Report: x, 82 p., Appendixes 1-8.","productDescription":"Zip file: Report: x, 82 p., Appendixes 1-8","ipdsId":"IP-080836","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":339550,"type":{"id":15,"text":"Index Page"},"url":"https://wgnhs.org/little-plover-river-groundwater-model/"},{"id":339556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Little Plover River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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Center","active":true,"usgs":true}],"preferred":false,"id":690591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kniffin, Maribeth","contributorId":190743,"corporation":false,"usgs":false,"family":"Kniffin","given":"Maribeth","email":"","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":690593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacob Krause","contributorId":190744,"corporation":false,"usgs":false,"family":"Jacob Krause","affiliations":[],"preferred":false,"id":690594,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690595,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690596,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":690597,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70181014,"text":"70181014 - 2017 - Extent and persistence of secondary water quality impacts after enhanced reductive bioremediation","interactions":[],"lastModifiedDate":"2017-04-12T10:30:45","indexId":"70181014","displayToPublicDate":"2017-04-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"ER-2131","title":"Extent and persistence of secondary water quality impacts after enhanced reductive bioremediation","docAbstract":"Electron donor (ED) addition can be very effective in stimulating enhanced reductive bioremediation (ERB) of a wide variety of groundwater contaminants. However, ERB can result in Secondary Water Quality Impacts (SWQIs) including decreased levels of dissolved oxygen (O2), nitrate (NO3- ), and sulfate (SO42- ), and elevated levels of dissolved manganese (Mn2+), dissolved iron (Fe2+), methane (CH4), sulfide (S2- ), organic carbon, and naturally occurring hazardous compounds (e.g., arsenic). Fortunately, this ‘plume’ of impacted groundwater is usually confined within the original contaminant plume and is unlikely to adversely impact potable water supplies. This report summarizes available information on processes controlling the production and natural attenuation of SWQI parameters and can be used as a guide in understanding the magnitude, areal extent, and duration of SWQIs in ERB treatment zones and the natural attenuation of SWQI parameters as the dissolved solutes migrate downgradient with ambient groundwater flow. This information was compiled from a wide variety of sources including a survey and statistical analysis of SWQIs from 47 ERB sites, geochemical model simulations, field studies at sites where organic-rich materials have entered the subsurface (e.g., wastewater, landfill leachate, and hydrocarbon plumes), and basic information on physical, chemical, and biological processes in the subsurface. This information is then integrated to provide a general conceptual model of the major processes controlling SWQI production and attenuation.
","language":"English","publisher":"Strategic Environmental Research and Development Program","usgsCitation":"Borden, R.C., Tillotson, J.M., Ng, G.C., Bekins, B.A., Kent, D.B., and Curtis, G.P., 2017, Extent and persistence of secondary water quality impacts after enhanced reductive bioremediation: Technical Report ER-2131, Report: xi; 54 p.; Appendix A.","productDescription":"Report: xi; 54 p.; Appendix A","ipdsId":"IP-068922","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":339562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339561,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.serdp-estcp.org/Program-Areas/Environmental-Restoration/Contaminated-Groundwater/Emerging-Issues/ER-2131/ER-2131"}],"country":"United States","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edb945e4b0eed1ab8c6f09","contributors":{"authors":[{"text":"Borden, Robert C.","contributorId":179311,"corporation":false,"usgs":false,"family":"Borden","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":663283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillotson, Jason M.","contributorId":179312,"corporation":false,"usgs":false,"family":"Tillotson","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":663284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ng, Gene-Hua Crystal gng@usgs.gov","contributorId":5313,"corporation":false,"usgs":true,"family":"Ng","given":"Gene-Hua","email":"gng@usgs.gov","middleInitial":"Crystal","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"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":663282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":663286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663287,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185332,"text":"sir20175021 - 2017 - An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2012-15","interactions":[],"lastModifiedDate":"2017-04-11T15:16:36","indexId":"sir20175021","displayToPublicDate":"2017-04-10T00:00:00","publicationYear":"2017","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":"2017-5021","title":"An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2012-15","docAbstract":"Since 1952, wastewater discharged to in ltration ponds (also called percolation ponds) and disposal wells at the Idaho National Laboratory (INL) has affected water quality in the eastern Snake River Plain (ESRP) aquifer and perched groundwater zones underlying the INL. The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, maintains groundwater-monitoring networks at the INL to determine hydrologic trends and to delineate the movement of radiochemical and chemical wastes in the aquifer and in perched groundwater zones. This report presents an analysis of water-level and water-quality data collected from the ESRP aquifer, multilevel monitoring system (MLMS) wells in the ESRP aquifer, and perched groundwater wells in the USGS groundwater monitoring networks during 2012-15.
Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
https://id.water.usgs.gov
Coral skeletons are valuable archives of past ocean conditions. However, interpretation of coral paleotemperature records is confounded by uncertainties associated with single-element ratio thermometers, including Sr/Ca. A new approach, Sr-U, uses U/Ca to constrain the influence of Rayleigh fractionation on Sr/Ca. Here we build on the initial Pacific Porites Sr-U calibration to include multiple Atlantic and Pacific coral genera from multiple coral reef locations spanning a temperature range of 23.15–30.12°C. Accounting for the wintertime growth cessation of one Bermuda coral, we show that Sr-U is strongly correlated with the average water temperature at each location (r2 = 0.91, P < 0.001, n = 19). We applied the multispecies spatial calibration between Sr-U and temperature to reconstruct a 96 year long temperature record at Mona Island, Puerto Rico, using a coral not included in the calibration. Average Sr-U derived temperature for the period 1900–1996 is within 0.12°C of the average instrumental temperature at this site and captures the twentieth century warming trend of 0.06°C per decade. Sr-U also captures the timing of multiyear variability but with higher amplitude than implied by the instrumental data. Mean Sr-U temperatures and patterns of multiyear variability were replicated in a second coral in the same grid box. Conversely, Sr/Ca records from the same two corals were inconsistent with each other and failed to capture absolute sea temperatures, timing of multiyear variability, or the twentieth century warming trend. Our results suggest that coral Sr-U paleothermometry is a promising new tool for reconstruction of past ocean temperatures.
","language":"English","publisher":"Wiley","doi":"10.1002/2016PA002976","usgsCitation":"Alpert, A.E., Cohen, A.L., Oppo, D.W., DeCarlo, T.M., Gaetani, G.A., Hernandez-Delgado, E.A., Winter, A., and Gonneea Eagle, M., 2017, Twentieth century warming of the tropical Atlantic captured by Sr-U paleothermometry: Paleoceanography, v. 32, no. 2, p. 146-160, https://doi.org/10.1002/2016PA002976.","productDescription":"15 p.","startPage":"146","endPage":"160","ipdsId":"IP-079454","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016pa002976","text":"Publisher Index Page"},{"id":339514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Mona Island","volume":"32","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-16","publicationStatus":"PW","scienceBaseUri":"58ec99d9e4b0b4d95d335259","contributors":{"authors":[{"text":"Alpert, Alice E.","contributorId":190715,"corporation":false,"usgs":false,"family":"Alpert","given":"Alice","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":690471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Anne L.","contributorId":190716,"corporation":false,"usgs":false,"family":"Cohen","given":"Anne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":690472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oppo, Delia W.","contributorId":190717,"corporation":false,"usgs":false,"family":"Oppo","given":"Delia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":690473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeCarlo, Thomas M.","contributorId":190720,"corporation":false,"usgs":false,"family":"DeCarlo","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":690474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaetani, Glenn A.","contributorId":190718,"corporation":false,"usgs":false,"family":"Gaetani","given":"Glenn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hernandez-Delgado, Edwin A.","contributorId":190719,"corporation":false,"usgs":false,"family":"Hernandez-Delgado","given":"Edwin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690476,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winter, Amos","contributorId":72271,"corporation":false,"usgs":false,"family":"Winter","given":"Amos","email":"","affiliations":[],"preferred":false,"id":690477,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":690470,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70186767,"text":"70186767 - 2017 - Movement patterns and spatial segregation of two populations of lake trout Salvelinus namaycush in Lake Huron","interactions":[],"lastModifiedDate":"2017-05-24T10:20:22","indexId":"70186767","displayToPublicDate":"2017-04-10T00:00:00","publicationYear":"2017","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":"Movement patterns and spatial segregation of two populations of lake trout Salvelinus namaycush in Lake Huron","docAbstract":"Movement ecology is an important component of life history and population dynamics, and consequently its understanding can inform successful fishery management decision-making. While lake trout populations in Lake Huron have shown signs of recovery from near extinction in recent years, knowledge of their movement behavior remains incomplete. We used acoustic telemetry to describe and compare movement patterns of two Lake Huron lake trout populations: Drummond Island and Thunder Bay. Both populations showed high spawning site fidelity, with no evidence of co-mingling during non-spawning season. Detections between spawning periods were mainly limited to receivers within 100 km of spawning locations, and suggested that the two populations likely remained segregated throughout the year. Drummond Island fish, which spawn inside the Drummond Island Refuge, primarily dispersed east into Canadian waters of Lake Huron, with 79–92% of fish being detected annually on receivers outside the refuge. In contrast, Thunder Bay fish tended to disperse south towards Saginaw Bay. Large proportions (i.e., > 80%) of both populations were available to fisheries outside the management zone containing their spawning location. Thunder Bay fish moved relatively quickly to overwinter habitat after spawning, and tended to repeat the same post-spawning movement behavior each year. The consistent, predictable movement of both populations across management zones highlights the importance of understanding population dynamics to effective management of Lake Huron lake trout.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.03.023","usgsCitation":"Binder, T., Marsden, J., Riley, S., Johnson, J., Johnson, N., He, J., Ebener, M.P., Holbrook, C., Bergstedt, R., Bronte, C.R., Hayden, T.A., and Krueger, C., 2017, Movement patterns and spatial segregation of two populations of lake trout Salvelinus namaycush in Lake Huron: Journal of Great Lakes Research, v. 43, no. 3, p. 108-118, https://doi.org/10.1016/j.jglr.2017.03.023.","productDescription":"11 p.","startPage":"108","endPage":"118","ipdsId":"IP-082645","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":339516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Drummond Island, Lake Huron, Thunder Bay","volume":"43","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ec99d8e4b0b4d95d335257","contributors":{"authors":[{"text":"Binder, Thomas 0000-0001-9266-9120 tbinder@usgs.gov","orcid":"https://orcid.org/0000-0001-9266-9120","contributorId":4958,"corporation":false,"usgs":true,"family":"Binder","given":"Thomas","email":"tbinder@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":690497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsden, J. 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Gas hydrate is widespread in the sediments of marine continental margins and permafrost areas, locations where ocean and atmospheric warming may perturb the hydrate stability field and lead to release of the sequestered methane into the overlying sediments and soils. Methane and methane-derived carbon that escape from sediments and soils and reach the atmosphere could exacerbate greenhouse warming. The synergy between warming climate and gas hydrate dissociation feeds a popular perception that global warming could drive catastrophic methane releases from the contemporary gas hydrate reservoir. Appropriate evaluation of the two sides of the climate-methane hydrate synergy requires assessing direct and indirect observational data related to gas hydrate dissociation phenomena and numerical models that track the interaction of gas hydrates/methane with the ocean and/or atmosphere. Methane hydrate is likely undergoing dissociation now on global upper continental slopes and on continental shelves that ring the Arctic Ocean. Many factors—the depth of the gas hydrates in sediments, strong sediment and water column sinks, and the inability of bubbles emitted at the seafloor to deliver methane to the sea-air interface in most cases—mitigate the impact of gas hydrate dissociation on atmospheric greenhouse gas concentrations though. There is no conclusive proof that hydrate-derived methane is reaching the atmosphere now, but more observational data and improved numerical models will better characterize the climate-hydrate synergy in the future.
","language":"English","publisher":"AGU","doi":"10.1002/2016RG000534","usgsCitation":"Ruppel, C., and Kessler, J.D., 2017, The interaction of climate change and methane hydrates: Reviews of Geophysics, v. 55, no. 1, p. 126-168, https://doi.org/10.1002/2016RG000534.","productDescription":"43 p.","startPage":"126","endPage":"168","ipdsId":"IP-079102","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469938,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016rg000534","text":"Publisher Index Page"},{"id":339403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-08","publicationStatus":"PW","scienceBaseUri":"58e8a541e4b09da6799d639f","chorus":{"doi":"10.1002/2016rg000534","url":"http://dx.doi.org/10.1002/2016rg000534","publisher":"Wiley-Blackwell","authors":"Ruppel Carolyn D., Kessler John D.","journalName":"Reviews of Geophysics","publicationDate":"2017","publiclyAccessibleDate":"2/8/2017"},"contributors":{"authors":[{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":145770,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":690216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kessler, John D. 0000-0003-1097-6800","orcid":"https://orcid.org/0000-0003-1097-6800","contributorId":184241,"corporation":false,"usgs":false,"family":"Kessler","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":690217,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184444,"text":"fs20173020 - 2017 - Summary of hydrologic conditions in Kansas, water year 2016","interactions":[],"lastModifiedDate":"2017-04-07T09:06:52","indexId":"fs20173020","displayToPublicDate":"2017-04-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3020","title":"Summary of hydrologic conditions in Kansas, water year 2016","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with Federal, State, and local agencies, maintains a long-term network of hydrologic monitoring sites in Kansas. Real-time data are collected at 216 streamgage sites and are verified throughout the year with regular measurements of streamflow made by USGS personnel. Annual assessments of hydrologic conditions are made by comparing statistical analyses of current and historical water year (WY) data for the period of record. A WY is the 12-month period from October 1 through September 30 and is designated by the calendar year in which the period ends. Long-term monitoring of hydrologic conditions in Kansas provides critical information for water-supply management, flood forecasting, reservoir operations, irrigation scheduling, bridge and culvert design, ecological monitoring, and many other uses.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173020","usgsCitation":"Louen, J.M., 2017, Summary of hydrologic conditions in Kansas, water year 2016: U.S. Geological Survey Fact Sheet 2017–3020, 4 p., https://doi.org/10.3133/fs20173020.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-083593","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":339361,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3020/fs20173020.pdf","text":"Fact Sheet","size":"7.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017–3020"},{"id":339360,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3020/coverthb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.5977783203125,\n 39.10022600175347\n ],\n [\n -94.603271484375,\n 39.142842478062505\n ],\n [\n -94.658203125,\n 39.15988184949157\n ],\n [\n -94.7021484375,\n 39.18117526158749\n ],\n [\n -94.779052734375,\n 39.198205348894795\n ],\n [\n -94.82299804687499,\n 39.20671884491848\n ],\n [\n -94.833984375,\n 39.24501680713314\n ],\n [\n -94.8724365234375,\n 39.279041894366785\n ],\n [\n -94.910888671875,\n 39.3130504637139\n ],\n [\n -94.910888671875,\n 39.342794408952365\n ],\n [\n -94.8944091796875,\n 39.36827914916014\n ],\n [\n -94.8724365234375,\n 39.40648882684979\n ],\n [\n -94.921875,\n 39.38526381099774\n ],\n [\n -94.97131347656249,\n 39.42346418978382\n ],\n [\n -95.03173828125,\n 39.44891948347229\n ],\n [\n -95.0592041015625,\n 39.487084981687495\n ],\n [\n -95.108642578125,\n 39.54641191968671\n ],\n [\n -95.042724609375,\n 39.58452390500424\n ],\n [\n -95.0482177734375,\n 39.61838363831915\n ],\n [\n -95.03173828125,\n 39.66914219401813\n ],\n [\n -94.97131347656249,\n 39.67759833072648\n ],\n [\n -94.96856689453125,\n 39.74521015328692\n ],\n [\n -94.89990234375,\n 39.7240885773337\n ],\n [\n -94.85870361328125,\n 39.74521015328692\n ],\n [\n -94.8834228515625,\n 39.757879992021756\n ],\n [\n -94.888916015625,\n 39.79376521264885\n ],\n [\n -94.87518310546875,\n 39.82752244475985\n ],\n [\n -94.91638183593749,\n 39.84439484396462\n ],\n [\n -94.92462158203124,\n 39.884450178234395\n ],\n [\n -95.01800537109374,\n 39.89709437260048\n ],\n [\n -95.02349853515625,\n 39.87812720644829\n ],\n [\n -95.0701904296875,\n 39.86547951378614\n ],\n [\n -95.130615234375,\n 39.87601941962116\n ],\n [\n -95.14984130859374,\n 39.90130858574735\n ],\n [\n -95.18829345703125,\n 39.905522539728544\n ],\n [\n -95.2020263671875,\n 39.92448212528485\n ],\n [\n -95.24871826171875,\n 39.9434364619742\n ],\n [\n -95.31463623046875,\n 39.99605985169435\n ],\n [\n -102.041015625,\n 40.01078714046552\n ],\n [\n -102.052001953125,\n 37.00255267215955\n ],\n [\n -94.6142578125,\n 37.01132594307015\n ],\n [\n -94.5977783203125,\n 39.10022600175347\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049
A system of barrier islands and back-barrier bays occurs along southern Long Island, New York, and in many coastal areas worldwide. Characterizing the bay physical response to water level fluctuations is needed to understand flooding during extreme events and evaluate their relation to geomorphological changes. Offshore sea level is one of the main drivers of water level fluctuations in semienclosed back-barrier bays. We analyzed observed water levels (October 2007 to November 2015) and developed analytical models to better understand bay water level along southern Long Island. An increase (∼0.02 m change in 0.17 m amplitude) in the dominant M2 tidal amplitude (containing the largest fraction of the variability) was observed in Great South Bay during mid-2014. The observed changes in both tidal amplitude and bay water level transfer from offshore were related to the dredging of nearby inlets and possibly the changing size of a breach across Fire Island caused by Hurricane Sandy (after December 2012). The bay response was independent of the magnitude of the fluctuations (e.g., storms) at a specific frequency. An analytical model that incorporates bay and inlet dimensions reproduced the observed transfer function in Great South Bay and surrounding areas. The model predicts the transfer function in Moriches and Shinnecock bays where long-term observations were not available. The model is a simplified tool to investigate changes in bay water level and enables the evaluation of future conditions and alternative geomorphological settings.
","language":"English","publisher":"AGU","doi":"10.1002/2016JC012318","usgsCitation":"Aretxabaleta, A., Ganju, N.K., Butman, B., and Signell, R.P., 2017, Observations and a linear model of water level in an interconnected inlet-bay system: Journal of Geophysical Research C: Oceans, v. 122, no. 4, p. 2760-2780, https://doi.org/10.1002/2016JC012318.","productDescription":"21 p.","startPage":"2760","endPage":"2780","ipdsId":"IP-079414","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469944,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jc012318","text":"Publisher Index Page"},{"id":339265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-04","publicationStatus":"PW","scienceBaseUri":"58e6026de4b09da6799ac673","chorus":{"doi":"10.1002/2016jc012318","url":"http://dx.doi.org/10.1002/2016jc012318","publisher":"Wiley-Blackwell","authors":"Aretxabaleta Alfredo L., Ganju Neil K., Butman Bradford, Signell Richard P.","journalName":"Journal of Geophysical Research: Oceans","publicationDate":"4/4/2017","publiclyAccessibleDate":"4/4/2017"},"contributors":{"authors":[{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":689633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":174763,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil","email":"nganju@usgs.gov","middleInitial":"K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":689634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":689635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":689636,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186519,"text":"70186519 - 2017 - Acute sensitivity of the vernal pool fairy shrimp, Branchinecta lynchi (Anostraca; Branchinectidae), and surrogate species to 10 chemicals","interactions":[],"lastModifiedDate":"2017-04-05T08:54:31","indexId":"70186519","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Acute sensitivity of the vernal pool fairy shrimp, Branchinecta lynchi (Anostraca; Branchinectidae), and surrogate species to 10 chemicals","docAbstract":"Vernal pool fairy shrimp, Branchinecta lynchi, (Branchiopoda; Anostraca) and other fairy shrimp species have been listed as threatened or endangered under the US Endangered Species Act. Because few data exist about the sensitivity of Branchinecta spp. to toxic effects of contaminants, it is difficult to determine whether they are adequately protected by water quality criteria. A series of acute (24-h) lethality/immobilization tests was conducted with 3 species of fairy shrimp (B. lynchi, Branchinecta lindahli, and Thamnocephalus platyurus) and 10 chemicals with varying modes of toxic action: ammonia, potassium, chloride, sulfate, chromium(VI), copper, nickel, zinc, alachlor, and metolachlor. The same chemicals were tested in 48-h tests with other branchiopods (the cladocerans Daphnia magna and Ceriodaphnia dubia) and an amphipod (Hyalella azteca), and in 96-h tests with snails (Physa gyrina and Lymnaea stagnalis). Median effect concentrations (EC50s) for B. lynchi were strongly correlated (r2 = 0.975) with EC50s for the commercially available fairy shrimp species T. platyurus for most chemicals tested. Comparison of EC50s for fairy shrimp and EC50s for invertebrate taxa tested concurrently and with other published toxicity data indicated that fairy shrimp were relatively sensitive to potassium and several trace metals compared with other invertebrate taxa, although cladocerans, amphipods, and mussels had similar broad toxicant sensitivity. Interspecies correlation estimation models for predicting toxicity to fairy shrimp from surrogate species indicated that models with cladocerans and freshwater mussels as surrogates produced the best predictions of the sensitivity of fairy shrimp to contaminants. The results of these studies indicate that fairy shrimp are relatively sensitive to a range of toxicants, but Endangered Species Act-listed fairy shrimp of the genus Branchinecta were not consistently more sensitive than other fairy shrimp taxa. Environ Toxicol Chem 2017;36:797–806. Published 2016 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.3723","usgsCitation":"Ivey, C.D., Besser, J.M., Ingersoll, C.G., Wang, N., Rogers, D.C., Raimondo, S., Bauer, C.R., and Hammer, E.J., 2017, Acute sensitivity of the vernal pool fairy shrimp, Branchinecta lynchi (Anostraca; Branchinectidae), and surrogate species to 10 chemicals: Environmental Toxicology and Chemistry, v. 36, no. 3, p. 797-806, https://doi.org/10.1002/etc.3723.","productDescription":"10 p.","startPage":"797","endPage":"806","ipdsId":"IP-079384","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":438382,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74J0C72","text":"USGS data release","linkHelpText":"Acute sensitivity of the vernal pool fairy shrimp, Branchinecta lynchi (Anostraca; Branchinectidae), and surrogate species to ten chemicals-Data"},{"id":339183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-26","publicationStatus":"PW","scienceBaseUri":"58e6026ee4b09da6799ac679","contributors":{"authors":[{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":688563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":688564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":688565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":688566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rogers, D. Christopher","contributorId":190496,"corporation":false,"usgs":false,"family":"Rogers","given":"D.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":688567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Raimondo, Sandy","contributorId":150748,"corporation":false,"usgs":false,"family":"Raimondo","given":"Sandy","email":"","affiliations":[{"id":18090,"text":"U.S. Environmental Protection Agency, Gulf Ecology Division, Gulf Breeze, FL","active":true,"usgs":false}],"preferred":false,"id":688568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bauer, Candice R.","contributorId":150724,"corporation":false,"usgs":false,"family":"Bauer","given":"Candice","email":"","middleInitial":"R.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":688569,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":688570,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70186552,"text":"70186552 - 2017 - Legacy introductions and climatic variation explain spatiotemporal patterns of invasive hybridization in a native trout","interactions":[],"lastModifiedDate":"2017-10-08T11:34:53","indexId":"70186552","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Legacy introductions and climatic variation explain spatiotemporal patterns of invasive hybridization in a native trout","docAbstract":"Hybridization between invasive and native species, a significant threat to worldwide biodiversity, is predicted to increase due to climate-induced expansions of invasive species. Long-term research and monitoring are crucial for understanding the ecological and evolutionary processes that modulate the effects of invasive species. Using a large, multi-decade genetics dataset (N = 582 sites, 12,878 individuals) with high-resolution climate predictions and extensive stocking records, we evaluate the spatiotemporal dynamics of hybridization between native cutthroat trout and invasive rainbow trout, the world’s most widely introduced invasive fish, across the northern Rocky Mountains of the United States. Historical effects of stocking and contemporary patterns of climatic variation were strongly related to the spread of hybridization across space and time. The probability of occurrence, extent of, and temporal changes in hybridization increased at sites in close proximity to historical stocking locations with greater rainbow trout propagule pressure, warmer water temperatures, and lower spring precipitation. Although locations with warmer water temperatures were more prone to hybridization, cold sites were not protected from invasion; 58% of hybridized sites had cold mean summer water temperatures (<11°C). Despite cessation of stocking over 40 years ago, hybridization increased over time at half (50%) of the locations with long-term data, the vast majority of which (74%) were initially non-hybridized, emphasizing the chronic, negative impacts of human-mediated hybridization. These results show that effects of climate change on biodiversity must be analyzed in the context of historical human impacts that set ecological and evolutionary trajectories.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13681","usgsCitation":"Muhlfeld, C.C., Kovach, R.P., Al-Chokhachy, R.K., Amish, S.J., Kershner, J.L., Leary, R., Lowe, W.H., Luikart, G., Matson, P., Schmetterling, D.A., Shepard, B.B., Westley, P.A., Whited, D., Whiteley, A.R., and Allendorf, F.W., 2017, Legacy introductions and climatic variation explain spatiotemporal patterns of invasive hybridization in a native trout: Global Change Biology, v. 23, no. 11, p. 4663-4674, https://doi.org/10.1111/gcb.13681.","productDescription":"12 p.","startPage":"4663","endPage":"4674","ipdsId":"IP-078684","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":469946,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.13681","text":"Publisher Index Page"},{"id":339275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"23","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-04","publicationStatus":"PW","scienceBaseUri":"58e6026de4b09da6799ac677","contributors":{"authors":[{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":688708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kovach, Ryan P. rkovach@usgs.gov","contributorId":5772,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","middleInitial":"P.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":688709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":688710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amish, Stephen J.","contributorId":104799,"corporation":false,"usgs":false,"family":"Amish","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":688711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":688712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leary, Robb F.","contributorId":126726,"corporation":false,"usgs":false,"family":"Leary","given":"Robb F.","affiliations":[{"id":6582,"text":"Montana Fish, Wildlife and Parks, Missoula, Montana 59801, USA","active":true,"usgs":false}],"preferred":false,"id":688713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowe, Winsor 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A.","contributorId":20223,"corporation":false,"usgs":true,"family":"Schmetterling","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":689675,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shepard, Bradley B.","contributorId":145880,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":688716,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Westley, Peter A. H.","contributorId":190530,"corporation":false,"usgs":false,"family":"Westley","given":"Peter","email":"","middleInitial":"A. H.","affiliations":[],"preferred":false,"id":688717,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Whited, Diane","contributorId":126718,"corporation":false,"usgs":false,"family":"Whited","given":"Diane","affiliations":[{"id":6576,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":688718,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Whiteley, Andrew R.","contributorId":150155,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":688719,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Allendorf, Fred W.","contributorId":124525,"corporation":false,"usgs":false,"family":"Allendorf","given":"Fred","email":"","middleInitial":"W.","affiliations":[{"id":5084,"text":"Division of Biological Sciences, University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":688720,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70185962,"text":"pp1833 - 2017 - Brackish groundwater in the United States","interactions":[],"lastModifiedDate":"2017-07-18T14:56:30","indexId":"pp1833","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1833","title":"Brackish groundwater in the United States","docAbstract":"For some parts of the Nation, large-scale development of groundwater has caused decreases in the amount of groundwater that is present in aquifer storage and that discharges to surface-water bodies. Water supply in some areas, particularly in arid and semiarid regions, is not adequate to meet demand, and severe drought is affecting large parts of the United States. Future water demand is projected to heighten the current stress on groundwater resources. This combination of factors has led to concerns about the availability of freshwater to meet domestic, agricultural, industrial, mining, and environmental needs. To ensure the water security of the Nation, currently [2016] untapped water sources may need to be developed.
Brackish groundwater is an unconventional water source that may offer a partial solution to current and future water demands. In support of the national census of water resources, the U.S. Geological Survey completed the national brackish groundwater assessment to better understand the occurrence and characteristics of brackish groundwater in the United States as a potential water resource. Analyses completed as part of this assessment relied on previously collected data from multiple sources; no new data were collected. Compiled data included readily available information about groundwater chemistry, horizontal and vertical extents and hydrogeologic characteristics of principal aquifers (regionally extensive aquifers or aquifer systems that have the potential to be used as a source of potable water), and groundwater use. Although these data were obtained from a wide variety of sources, the compiled data are biased toward shallow and fresh groundwater resources; data representing groundwater that is at great depths and is saline were not as readily available.
One of the most important contributions of this assessment is the creation of a database containing chemical characteristics and aquifer information for the known areas with brackish groundwater in the United States. Previously published digital data relating to brackish groundwater resources were limited to a small number of State- and regional-level studies. Data sources for this assessment ranged from single publications to large datasets and from local studies to national assessments. Geochemical data included concentrations of dissolved solids, major ions, trace elements, nutrients, and radionuclides as well as physical properties of the water (pH, temperature, and specific conductance). Additionally, the database provides selected well information (location, yield, depth, and contributing aquifer) necessary for evaluating the water resource.
The assessment was divided into national-, regional-, and aquifer-scale analyses. National-scale analyses included evaluation of the three-dimensional distribution of observed dissolved-solids concentrations in groundwater, the three-dimensional probability of brackish groundwater occurrence, and the geochemical characteristics of saline (greater than or equal to 1,000 mg/L of dissolved solids) groundwater resources. Regional-scale analyses included a summary of the percentage of observed grid cell volume in the region that was occupied by brackish groundwater within the mixture of air, water, and rock for multiple depth intervals. Aquifer-scale analyses focused primarily on four regions that contained the largest amounts of observed brackish groundwater and included a generalized description of hydrogeologic characteristics from previously published work; the distribution of dissolved-solids concentrations; considerations for developing brackish groundwater resources, including a summary of other chemical characteristics that may limit the use of brackish groundwater and the ability of sampled wells producing brackish groundwater to yield useful amounts of water; and the amount of saline groundwater being used in 2010.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1833","collaboration":"Water Availability and Use Science Program","usgsCitation":"Stanton, J.S., Anning, D.W., Brown, C.J., Moore, R.B., McGuire, V.L., Qi, S.L., Harris, A.C., Dennehy, K.F., McMahon, P.B., Degnan, J.R., and Böhlke, J.K., 2017, Brackish groundwater in the United States: U.S. Geological Survey Professional Paper 1833, 185 p., https://doi.org/10.3133/pp1833.","productDescription":"Report: xii, 185 p.; Figures: 4 Oversize, 4 Layered; Appendixes: Table, 4, 3-D Figures; Fact Sheet; Read Me; Data Release; Project Site","numberOfPages":"202","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":338729,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1833/pp1833_fig27_interactive.pdf","text":"Figure 27 ","size":"922 kB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1833 Figure 27 Interactive","linkHelpText":"Principal aquifers within the Eastern Midcontinent region [layered pdf; 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10 Bearfoot Road
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","tableOfContents":"Since passage of the Clean Water Act in 1972, Federal, State, and local governments have invested billions of dollars to reduce pollution entering rivers and streams. To understand the return on these investments and to effectively manage and protect the Nation’s water resources in the future, we need to know how and why water quality has been changing over time. As part of the National Water-Quality Assessment Project, of the U.S. Geological Survey’s National Water-Quality Program, data from the U.S. Geological Survey, along with multiple other Federal, State, Tribal, regional, and local agencies, have been used to support the most comprehensive assessment conducted to date of surface-water-quality trends in the United States. This report documents the methods used to determine trends in water quality and ecology because these methods are vital to ensuring the quality of the results. Specific objectives are to document (1) the data compilation and processing steps used to identify river and stream sites throughout the Nation suitable for water-quality, pesticide, and ecology trend analysis, (2) the statistical methods used to determine trends in target parameters, (3) considerations for water-quality, pesticide, and ecology data and streamflow data when modeling trends, (4) sensitivity analyses for selecting data and interpreting trend results with the Weighted Regressions on Time, Discharge, and Season method, and (5) the final trend results at each site. The scope of this study includes trends in water-quality concentrations and loads (nutrient, sediment, major ion, salinity, and carbon), pesticide concentrations and loads, and metrics for aquatic ecology (fish, invertebrates, and algae) for four time periods: (1) 1972–2012, (2) 1982–2012, (3) 1992–2012, and (4) 2002–12. In total, nearly 12,000 trends in concentration, load, and ecology metrics were evaluated in this study; there were 11,893 combinations of sites, parameters, and trend periods. The final trend results are presented with examples of how to interpret the results from each trend model. Interpretation of the trend results, such as causal analysis, is not included.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175006","usgsCitation":"Oelsner, G.P., Sprague, L.A., Murphy, J.C., Zuellig, R.E., Johnson, H.M., Ryberg, K.R., Falcone, J.A., Stets, E.G., Vec-chia, A.V., Riskin, M.L., De Cicco, L.A., Mills, T.J., and Farmer, W.H., 2017, Water-quality trends in the Nation’s rivers and streams, 1972–2012—Data preparation, statistical methods, and trend results (ver. 2.0, October 2017): U.S. Geological Survey Scientific Investigations Report 2017–5006, 136 p., https://doi.org/10.3133/sir20175006.","productDescription":"Report: xv, 136 p.; 8 Appendixes; 5 Data Releases; Project Site; Version History","numberOfPages":"158","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079324","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":438398,"rank":19,"type":{"id":30,"text":"Data 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States\"}}]}","edition":"Version 1.0: Originally posted April 4, 2017; Version 2.0: November 1, 2017","contact":"Program Coordinator, National Water Quality Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, Virginia 20192
Plumes of buoyant river water spread in the ocean from river mouths, and these plumes influence water quality, sediment dispersal, primary productivity, and circulation along the world’s coasts. Most investigations of river plumes have focused on large rivers in a coastal region, for which the physical spreading of the plume is assumed to be independent from the influence of other buoyant plumes. Here we provide new understanding of the spreading patterns of multiple plumes interacting along simplified coastal settings by investigating: (i) the relative likelihood of plume-to-plume interactions at different settings using geophysical scaling, (ii) the diversity of plume frontal collision types and the effects of these collisions on spreading patterns of plume waters using a two-dimensional hydrodynamic model, and (iii) the fundamental differences in plume spreading patterns between coasts with single and multiple rivers using a three-dimensional hydrodynamic model. Geophysical scaling suggests that coastal margins with numerous small rivers (watershed areas < 10,000 km2), such as found along most active geologic coastal margins, were much more likely to have river plumes that collide and interact than coastal settings with large rivers (watershed areas > 100,000 km2). When two plume fronts meet, several types of collision attributes were found, including refection, subduction and occlusion. We found that the relative differences in pre-collision plume densities and thicknesses strongly influenced the resulting collision types. The three-dimensional spreading of buoyant plumes was found to be influenced by the presence of additional rivers for all modeled scenarios, including those with and without Coriolis and wind. Combined, these results suggest that plume-to-plume interactions are common phenomena for coastal regions offshore of the world’s smaller rivers and for coastal settings with multiple river mouths in close proximity, and that the spreading and fate of river waters in these settings will be strongly influenced by these interactions. We conclude that new investigations are needed to characterize how plumes interact offshore of river mouths to better understand the transport and fate of terrestrial sources of pollution, nutrients and other materials in the ocean.
An International Species Management Plan for the Svalbard population of the pink-footed goose was adopted under the Agreement on the Conservation of African-Eurasian Migratory Waterbirds in 2012, the first case of adaptive management of a migratory waterbird population in Europe. An international working group (including statutory agencies, NGO representatives and experts) agreed on objectives and actions to maintain the population in favourable conservation status, while accounting for biodiversity, economic and recreational interests. Agreements include setting a population target to reduce agricultural conflicts and avoid tundra degradation, and using hunting in some range states to maintain stable population size. As part of the adaptive management procedures, adjustment to harvest is made annually subject to population status. This has required streamlining of monitoring and assessment activities. Three years after implementation, indicators suggest the attainment of management results. Dialogue, consensus-building and engagement among stakeholders represent the major process achievements.
","language":"English","publisher":"Springer","doi":"10.1007/s13280-016-0888-0","usgsCitation":"Madsen, J., Williams, J.H., Johnson, F.A., Tombre, I.M., Dereliev, S., and Kuijken, E., 2017, Implementation of the first adaptive management plan for a European migratory waterbird population: The case of the Svalbard pink-footed goose Anser brachyrhynchus: Ambio, v. 46, no. s2, p. 275-289, https://doi.org/10.1007/s13280-016-0888-0.","productDescription":"15 p.","startPage":"275","endPage":"289","ipdsId":"IP-080380","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469952,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13280-016-0888-0","text":"Publisher Index Page"},{"id":339009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"s2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-18","publicationStatus":"PW","scienceBaseUri":"58e35f7de4b09da67997eca3","contributors":{"authors":[{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":687970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, James Henty","contributorId":141135,"corporation":false,"usgs":false,"family":"Williams","given":"James","email":"","middleInitial":"Henty","affiliations":[{"id":13685,"text":"Aarhus University, Department of Bioscience","active":true,"usgs":false}],"preferred":false,"id":687971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":687969,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tombre, Ingunn M.","contributorId":190259,"corporation":false,"usgs":false,"family":"Tombre","given":"Ingunn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":687972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dereliev, Sergey","contributorId":190260,"corporation":false,"usgs":false,"family":"Dereliev","given":"Sergey","email":"","affiliations":[],"preferred":false,"id":687973,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuijken, Eckhart","contributorId":190261,"corporation":false,"usgs":false,"family":"Kuijken","given":"Eckhart","email":"","affiliations":[],"preferred":false,"id":687974,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199853,"text":"70199853 - 2017 - Erosion of refugia in the Sierra Nevada meadows network with climate change","interactions":[],"lastModifiedDate":"2018-10-01T15:43:15","indexId":"70199853","displayToPublicDate":"2017-04-01T15:43:02","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Erosion of refugia in the Sierra Nevada meadows network with climate change","docAbstract":"Climate refugia management has been proposed as a climate adaptation strategy in the face of global change. Key to this strategy is identification of these areas as well as an understanding of how they are connected on the landscape. Focusing on meadows of the Sierra Nevada in California, we examined multiple factors affecting connectivity using circuit theory, and determined how patches have been and are expected to be affected by climate change. Connectivity surfaces varied depending upon the underlying hypothesis, although meadow area and elevation were important features for higher connectivity. Climate refugia that would promote population persistence were identified from downscaled climate layers, based on locations with minimal climatic change from historical conditions. This approach was agnostic to specific species, yielding a broad perspective about changes and localized habitats. Connectivity was not a consistent predictor of refugial status in the 20th century, but expected future climate refugia tended to have higher connectivity than those that recently deviated from historical conditions. Climate change is projected to reduce the number of refugial meadows on a variety of climate axes, resulting in a sparser network of potential refugia across elevations. Our approach provides a straightforward method that can be used as a tool to prioritize places for climate adaptation.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1673","usgsCitation":"Maher, S.P., Morelli, T.L., Hershey, M., Flint, A.L., Flint, L.E., Moritz, C., and Beissinger, S.R., 2017, Erosion of refugia in the Sierra Nevada meadows network with climate change: Ecosphere, v. 8, no. 4, p. 1-17, https://doi.org/10.1002/ecs2.1673.","productDescription":"e01673; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-070741","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":469954,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1673","text":"Publisher Index Page"},{"id":357990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122,\n 36\n ],\n [\n -118,\n 36\n ],\n [\n -118,\n 42\n ],\n [\n -122,\n 42\n ],\n [\n -122,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-20","publicationStatus":"PW","scienceBaseUri":"5bc031aae4b0fc368eb53a3e","contributors":{"authors":[{"text":"Maher, Sean P.","contributorId":7998,"corporation":false,"usgs":true,"family":"Maher","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":746905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":746904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hershey, Michelle","contributorId":208379,"corporation":false,"usgs":false,"family":"Hershey","given":"Michelle","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":746909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746903,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moritz, Craig","contributorId":149462,"corporation":false,"usgs":false,"family":"Moritz","given":"Craig","email":"","affiliations":[{"id":17742,"text":"Research School of Biology, The Australian Nat'l U, Acton, Australia","active":true,"usgs":false}],"preferred":false,"id":746908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beissinger, Steven R.","contributorId":100534,"corporation":false,"usgs":true,"family":"Beissinger","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":746907,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70181997,"text":"70181997 - 2017 - Trends in snowmelt-related streamflow timing in the conterminous United States","interactions":[],"lastModifiedDate":"2018-08-07T14:33:22","indexId":"70181997","displayToPublicDate":"2017-04-01T14:33:14","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Trends in snowmelt-related streamflow timing in the conterminous United States","docAbstract":"Changes in snowmelt-related streamflow timing have implications for water availability and use as well as ecologically relevant shifts in streamflow. Historical trends in snowmelt-related streamflow timing (winter-spring center volume date, WSCVD) were computed for minimally disturbed river basins in the conterminous United States. WSCVD was computed by summing daily streamflow for a seasonal window then calculating the day that half of the seasonal volume had flowed past the gage. We used basins where at least 30 percent of annual precipitation was received as snow, and streamflow data were restricted to regionally based winter-spring periods to focus the analyses on snowmelt-related streamflow. Trends over time in WSCVD at gages in the eastern U.S. were relatively homogenous in magnitude and direction and statistically significant; median WSCVD was earlier by 8.2 days (1.1 days/decade) and 8.6 days (1.6 days/decade) for 1940–2014 and 1960–2014 periods respectively. Fewer trends in the West were significant though most trends indicated earlier WSCVD over time. Trends at low-to-mid elevation (<1600 m) basins in the West, predominantly located in the Northwest, had median earlier WSCVD by 6.8 days (1940–2014, 0.9 days/decade) and 3.4 days (1960–2014, 0.6 days/decade). Streamflow timing at high-elevation (⩾1600 m) basins in the West had median earlier WSCVD by 4.0 days (1940–2014, 0.5 days/decade) and 5.2 days (1960–2014, 0.9 days/decade). Trends toward earlier WSCVD in the Northwest were not statistically significant, differing from previous studies that observed many large and (or) significant trends in this region. Much of this difference is likely due to the sensitivity of trend tests to the time period being tested, as well as differences in the streamflow timing metrics used among the studies. Mean February–May air temperature was significantly correlated with WSCVD at 100 percent of the study gages (field significant, p < 0.0001), demonstrating the sensitivity of WSCVD to air temperature across snowmelt dominated basins in the U.S. WSCVD in high elevation basins in the West, however, was related to both air temperature and precipitation yielding earlier snowmelt-related streamflow timing under warmer and drier conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.01.051","usgsCitation":"Dudley, R.W., Hodgkins, G.A., McHale, M., Kolian, M., and Renard, B., 2017, Trends in snowmelt-related streamflow timing in the conterminous United States: Journal of Hydrology, v. 547, p. 208-221, https://doi.org/10.1016/j.jhydrol.2017.01.051.","productDescription":"14 p.","startPage":"208","endPage":"221","ipdsId":"IP-076605","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":469955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2017.01.051","text":"Publisher Index Page"},{"id":356297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"547","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc6f5e4b0f5d57878ebad","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":669220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":669221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McHale, Michael 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":177292,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":669222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolian, Michael J.","contributorId":177290,"corporation":false,"usgs":false,"family":"Kolian","given":"Michael J.","affiliations":[],"preferred":false,"id":669223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Renard, Benjamin","contributorId":177291,"corporation":false,"usgs":false,"family":"Renard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":669224,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198633,"text":"70198633 - 2017 - Geometry, mass balance and thinning at Eklutna Glacier, Alaska: an altitude-mass-balance feedback with implications for water resources","interactions":[],"lastModifiedDate":"2018-08-14T13:36:15","indexId":"70198633","displayToPublicDate":"2017-04-01T13:36:07","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Geometry, mass balance and thinning at Eklutna Glacier, Alaska: an altitude-mass-balance feedback with implications for water resources","docAbstract":"We analyzed glacier surface elevations (1957, 2010 and 2015) and surface mass-balance measurements (2008–2015) on the 30 km2 Eklutna Glacier, in the Chugach Mountains of southcentral Alaska. The geodetic mass balances from 1957 to 2010 and 2010 to 2015 are −0.52 ± 0.46 and −0.74 ± 0.10 m w.e. a−1, respectively. The glaciological mass balance of −0.73 m w.e. a−1 from 2010 to 2015 is indistinguishable from the geodetic value. Even after accounting for loss of firn in the accumulation zone, we found most of the mass loss over both time periods was from a broad, low-slope basin that includes much of the accumulation zone of the main branch. Ice-equivalent surface elevation changes in the basin were −1.0 ± 0.8 m a−1 from 1957 to 2010, and −0.6 ± 0.1 m a−1 from 2010 to 2015, shifting the glacier hypsometry downward and resulting in more negative mass balances: an altitude-mass-balance feedback. Net mass loss from Eklutna Glacier accounts for 7 ± 1% of the average inflow to Eklutna Reservoir, which is entirely used for water and power by Anchorage, Alaska's largest city. If the altitude-mass-balance feedback continues, this ‘deglaciation discharge dividend’ is likely to increase over the short-term before it eventually decreases due to diminishing glacier area.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2016.146","usgsCitation":"Sass, L., Loso, M.G., Geck, J., Thoms, E., and Mcgrath, D., 2017, Geometry, mass balance and thinning at Eklutna Glacier, Alaska: an altitude-mass-balance feedback with implications for water resources: Journal of Glaciology, v. 63, no. 238, p. 343-354, https://doi.org/10.1017/jog.2016.146.","productDescription":"12 p.","startPage":"343","endPage":"354","ipdsId":"IP-075520","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":469956,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2016.146","text":"Publisher Index Page"},{"id":438399,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MP51CB","text":"USGS data release","linkHelpText":"Point Measurements of Surface Mass Balance, Eklutna Glacier, Alaska, 2008-2015"},{"id":356437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Eklutna Glacier","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.07485961914062,\n 61.16824528169757\n ],\n [\n -148.91006469726562,\n 61.16824528169757\n ],\n [\n -148.91006469726562,\n 61.28425704516601\n ],\n [\n -149.07485961914062,\n 61.28425704516601\n ],\n [\n -149.07485961914062,\n 61.16824528169757\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"63","issue":"238","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-25","publicationStatus":"PW","scienceBaseUri":"5b98a463e4b0702d0e84307f","contributors":{"authors":[{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":742299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loso, Michael G.","contributorId":146361,"corporation":false,"usgs":false,"family":"Loso","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":742300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geck, Jason","contributorId":177441,"corporation":false,"usgs":false,"family":"Geck","given":"Jason","email":"","affiliations":[],"preferred":false,"id":742301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thoms, Evan 0000-0002-8945-613X ethoms@usgs.gov","orcid":"https://orcid.org/0000-0002-8945-613X","contributorId":206949,"corporation":false,"usgs":true,"family":"Thoms","given":"Evan","email":"ethoms@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":742302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":742303,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192170,"text":"70192170 - 2017 - Field-scale observations of a transient geobattery resulting from natural attenuation of a crude oil spill","interactions":[],"lastModifiedDate":"2017-11-06T13:20:40","indexId":"70192170","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","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":"Field-scale observations of a transient geobattery resulting from natural attenuation of a crude oil spill","docAbstract":"We present evidence of a geobattery associated with microbial degradation of a mature crude oil spill. Self-potential measurements were collected using a vertical array of nonpolarizing electrodes, starting at the land surface and passing through the smear zone where seasonal water table fluctuations have resulted in the coating of hydrocarbons on the aquifer solids. These passive electrical potential measurements exhibit a dipolar pattern associated with a current source. The anodic and cathodic reactions of this natural battery occur below and above the smear zone, respectively. The smear zone is characterized by high magnetic susceptibility values associated with the precipitation of semiconductive magnetic iron phase minerals as a by-product of biodegradation, facilitating electron transfer between the anode and the cathode. This geobattery response appears to have a transient nature, changing on a monthly scale, probably resulting from chemical and physical changes in subsurface conditions such as water table fluctuations.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016JG003596","usgsCitation":"Heenan, J., Ntarlagiannis, D., Slater, L., Beaver, C., Rossbach, S., Revil, A., Atekwana, E., and Bekins, B.A., 2017, Field-scale observations of a transient geobattery resulting from natural attenuation of a crude oil spill: Journal of Geophysical Research G: Biogeosciences, v. 122, no. 4, p. 918-929, https://doi.org/10.1002/2016JG003596.","productDescription":"12 p.","startPage":"918","endPage":"929","ipdsId":"IP-084296","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":348274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"5a07e910e4b09af898c8cbf3","contributors":{"authors":[{"text":"Heenan, Jeffrey","contributorId":197894,"corporation":false,"usgs":false,"family":"Heenan","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":714536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ntarlagiannis, Dimitris","contributorId":197895,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitris","email":"","affiliations":[],"preferred":false,"id":714537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":714538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beaver, Carol","contributorId":197896,"corporation":false,"usgs":false,"family":"Beaver","given":"Carol","affiliations":[],"preferred":false,"id":714539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rossbach, S.","contributorId":92058,"corporation":false,"usgs":true,"family":"Rossbach","given":"S.","affiliations":[],"preferred":false,"id":714540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Revil, A.","contributorId":49627,"corporation":false,"usgs":true,"family":"Revil","given":"A.","affiliations":[],"preferred":false,"id":714541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Atekwana, E.A.","contributorId":94504,"corporation":false,"usgs":true,"family":"Atekwana","given":"E.A.","affiliations":[],"preferred":false,"id":714542,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714535,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70191872,"text":"70191872 - 2017 - Urbanization may limit impacts of an invasive predator on native mammal diversity","interactions":[],"lastModifiedDate":"2017-10-18T14:45:36","indexId":"70191872","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Urbanization may limit impacts of an invasive predator on native mammal diversity","docAbstract":"Aim
Our understanding of the effects of invasive species on faunal diversity is limited in part because invasions often occur in modified landscapes where other drivers of community diversity can exacerbate or reduce the net impacts of an invader. Furthermore, rigorous assessments of the effects of invasive species on native communities that account for variation in sampling, species-specific detection and occurrence of rare species are lacking. Invasive Burmese pythons (Python molurus bivittatus) may be causing declines in medium- to large-sized mammals throughout the Greater Everglades Ecosystem (GEE); however, other factors such as urbanization, habitat changes and drastic alteration in water flow may also be influential in structuring mammal communities. The aim of this study was to gain an understanding of how mammal communities simultaneously facing invasive predators and intensively human-altered landscapes are influenced by these drivers and their interactions.
Location
Florida, USA.
Methods
We used data from trail cameras and scat searches with a hierarchical community model that accounts for undetected species to determine the relative influence of introduced Burmese pythons, urbanization, local hydrology, habitat types and interactive effects between pythons and urbanization on mammal species occurrence, site-level species richness, and turnover.
Results
Python density had significant negative effects on all species except coyotes. Despite these negative effects, occurrence of some generalist species increased significantly near urban areas. At the community level, pythons had the greatest impact on species richness, while turnover was greatest along the urbanization gradient where communities were increasingly similar as distance to urbanization decreased.
Main conclusions
We found evidence for an antagonistic interaction between pythons and urbanization where the impacts of pythons were reduced near urban development. Python-induced changes to mammal communities may be mediated near urban development, but elsewhere in the GEE, pythons are likely causing a fundamental restructuring of the food web, declines in ecosystem function, and creating complex and unpredictable cascading effects.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12531","usgsCitation":"Reichert, B., Sovie, A.R., Udell, B.J., Hart, K.M., Borkhataria, R.R., Bonneau, M., Reed, R., and McCleery, R.A., 2017, Urbanization may limit impacts of an invasive predator on native mammal diversity: Diversity and Distributions, v. 23, no. 4, p. 355-367, https://doi.org/10.1111/ddi.12531.","productDescription":"13 p.","startPage":"355","endPage":"367","ipdsId":"IP-077761","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469970,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12531","text":"Publisher Index Page"},{"id":346891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.529296875,\n 25.085598897064752\n ],\n [\n -80.0189208984375,\n 25.085598897064752\n ],\n [\n -80.0189208984375,\n 27.235094607795503\n ],\n [\n -82.529296875,\n 27.235094607795503\n ],\n [\n -82.529296875,\n 25.085598897064752\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-26","publicationStatus":"PW","scienceBaseUri":"59e86836e4b05fe04cd4d1ff","contributors":{"authors":[{"text":"Reichert, Brian E.","contributorId":197423,"corporation":false,"usgs":false,"family":"Reichert","given":"Brian E.","affiliations":[],"preferred":false,"id":713475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sovie, Adia R.","contributorId":197424,"corporation":false,"usgs":false,"family":"Sovie","given":"Adia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Udell, Brad J.","contributorId":197490,"corporation":false,"usgs":false,"family":"Udell","given":"Brad","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":713478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borkhataria, Rena R.","contributorId":197425,"corporation":false,"usgs":false,"family":"Borkhataria","given":"Rena","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713479,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonneau, Mathieu","contributorId":150041,"corporation":false,"usgs":false,"family":"Bonneau","given":"Mathieu","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":713480,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713474,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":713476,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193334,"text":"70193334 - 2017 - The 3.6 ka Aniakchak tephra in the Arctic Ocean: A constraint on the Holocene radiocarbon reservoir age in the Chukchi Sea ","interactions":[],"lastModifiedDate":"2017-10-31T15:52:26","indexId":"70193334","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"The 3.6 ka Aniakchak tephra in the Arctic Ocean: A constraint on the Holocene radiocarbon reservoir age in the Chukchi Sea ","docAbstract":"The caldera-forming eruption of the Aniakchak volcano in the Aleutian Range on the Alaskan Peninsula at 3.6 cal kyr BP was one of the largest Holocene eruptions worldwide. The resulting ash is found as a visible sediment layer in several Alaskan sites and as a cryptotephra on Newfoundland and Greenland. This large geographic distribution, combined with the fact that the eruption is relatively well constrained in time using radiocarbon dating of lake sediments and annual layer counts in ice cores, makes it an excellent stratigraphic marker for dating and correlating mid–late Holocene sediment and paleoclimate records. This study presents the outcome of a targeted search for the Aniakchak tephra in a marine sediment core from the Arctic Ocean, namely Core SWERUS-L2-2-PC1 (2PC), raised from 57 m water depth in Herald Canyon, western Chukchi Sea. High concentrations of tephra shards, with a geochemical signature matching that of Aniakchak ash, were observed across a more than 1.5 m long sediment sequence. Since the primary input of volcanic ash is through atmospheric transport, and assuming that bioturbation can account for mixing up to ca. 10 cm of the marine sediment deposited at the coring site, the broad signal is interpreted as sustained reworking at the sediment source input. The isochron is therefore placed at the base of the sudden increase in tephra concentrations rather than at the maximum concentration. This interpretation of major reworking is strengthened by analysis of grain size distribution which points to ice rafting as an important secondary transport mechanism of volcanic ash. Combined with radiocarbon dates on mollusks in the same sediment core, the volcanic marker is used to calculate a marine radiocarbon reservoir age offset ΔR = 477 ± 60 years. This relatively high value may be explained by the major influence of typically \"carbon-old\" Pacific waters, and it agrees well with recent estimates of ΔR along the northwest Alaskan coast, possibly indicating stable oceanographic conditions during the second half of the Holocene. Our use of a volcanic absolute age marker to obtain the marine reservoir age offset is the first of its kind in the Arctic Ocean and provides an important framework for improving chronologies and correlating marine sediment archives in this region. Core 2PC has a high sediment accumulation rate averaging 200 cm kyr throughout the last 4000 years, and the chronology presented here provides a solid base for high-resolution reconstructions of late Holocene climate and ocean variability in the Chukchi Sea.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-13-303-2017","usgsCitation":"Pearce, C., Varhelyi, A., Wastegard, S., Muschitiello, F., Barrientos Macho, N., O’Regan, M., Cronin, T.M., Gemery, L., Semiletov, I., Backman, J., and Jakobsson, M., 2017, The 3.6 ka Aniakchak tephra in the Arctic Ocean: A constraint on the Holocene radiocarbon reservoir age in the Chukchi Sea : Climate of the Past, v. 13, p. 303-316, https://doi.org/10.5194/cp-13-303-2017.","productDescription":"14 p.","startPage":"303","endPage":"316","ipdsId":"IP-081754","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":469959,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-13-303-2017","text":"Publisher Index Page"},{"id":347928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United 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Here, we configured five separate SWAT (US Department of Agriculture's Soil and Water Assessment Tool) models to assess load reduction strategies for the agriculturally dominated Maumee River watershed, the largest P source contributing to toxic algal blooms in Lake Erie. Although several potential pathways may achieve the target loads, our results show that any successful pathway will require large-scale implementation of multiple practices. For example, one successful pathway involved targeting 50% of row cropland that has the highest P loss in the watershed with a combination of three practices: subsurface application of P fertilizers, planting cereal rye as a winter cover crop, and installing buffer strips. Achieving these levels of implementation will require local, state/provincial, and federal agencies to collaborate with the private sector to set shared implementation goals and to demand innovation and honest assessments of water quality-related programs, policies, and partnerships.","language":"English","publisher":"Wiley","doi":"10.1002/fee.1472","usgsCitation":"Scavia, D., Kalcic, M., Muenich, R.L., Read, J., Aloysius, N., Bertani, I., Boles, C., Confesor, R., DePinto, J., Gildow, M., Martin, J., Redder, T., Robertson, D.M., Sowa, S.P., Wang, Y., and Yen, H., 2017, Multiple models guide strategies for agricultural nutrient reductions: Frontiers in Ecology and the Environment, v. 15, no. 3, p. 126-132, https://doi.org/10.1002/fee.1472.","productDescription":"7 p.","startPage":"126","endPage":"132","ipdsId":"IP-075287","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":461665,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/fee.1472","text":"External Repository"},{"id":348860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-03","publicationStatus":"PW","scienceBaseUri":"5a60fbede4b06e28e9c2379e","contributors":{"authors":[{"text":"Scavia, Donald","contributorId":200340,"corporation":false,"usgs":false,"family":"Scavia","given":"Donald","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalcic, Margaret","contributorId":169554,"corporation":false,"usgs":false,"family":"Kalcic","given":"Margaret","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false},{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":721981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muenich, Rebecca Logsdon","contributorId":169555,"corporation":false,"usgs":false,"family":"Muenich","given":"Rebecca","email":"","middleInitial":"Logsdon","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Read, Jennifer","contributorId":140055,"corporation":false,"usgs":false,"family":"Read","given":"Jennifer","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aloysius, 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We determined spatiotemporal ecology of 47 female and 12 male turtles from 2009 through 2012 and identified fundamental habitats in the Missouri River in east-central Montana. Movement rates of females were greater than those of males and peaked before nesting. Movement rates of males peaked before overwintering, and movement rates of both sexes were minimal in winter. Home range sizes were not different between sexes, varied among individuals and seasons, and were similar to those reported elsewhere in their northern range. Turtles aggregated and showed interannual fidelity to separate and disparate habitats in different seasons. Turtles often chose fine substrates, tributary confluences, and reaches with islands during summer and mainstem outside bends in the winter. They inhabited shallow, slow water velocity areas from May to September. They inhabited deeper, moderate velocity areas from October to April. We did not observe ice jams and associated riverbed scour at hibernacula, but did observe them elsewhere. Ice jams may be spatially predictable and influence the distribution of riverine turtles during autumn and winter. Preservation of dissimilar habitats used during major portions of the life cycle (lateral habitats, islands, and hibernacula) and natural streamflow patterns, which influenced timing of habitat availability and turtle movement, may facilitate continued existence of Spiny Softshell Turtles in the Missouri River in Montana
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