Agassiz's desert tortoise (Gopherus agassizii) reaches the southern edge of its range in the Sonoran Desert of California. The reproductive ecology of this wideranging species is understudied here compared to populations in the adjacent Mojave Desert. Understanding potential geographic variation in reproductive ecology is important for effective management of conservation-reliant species like G. agassizii. We studied the fecundity and clutch phenology of female G. agassizii at two study sites in the Sonoran Desert region of Joshua Tree National Park over five years (1997–1999, 2015–2016) spanning two of the strongest El Niño events on record and an epic drought. Across all years, mean clutch size was 4.3±1.5 eggs, mean clutch frequency was 1.78 clutches/female/year, and mean X-ray egg width was 36.51±1.56 mm, all of which are comparable to other published studies both in the Sonoran and Mojave deserts of California. Our results generally support earlier published findings that G. agassizii utilize a bet-hedging strategy of consistently producing small clutches almost every year, even during times of low annual primary productivity. A regionally warmer climate in the Sonoran Desert of California appears to have an effect on the timing of egg production, as the earliest dates of egg visibility in our study (April 6) were approximately two weeks earlier than the earliest dates reported for G. agassizii in the Mojave Desert. Shelled eggs were no longer visible in tortoises after mid-June in all years but the El Niño year 1998, when eggs were visible until mid-July.
","language":"English","publisher":"BioOne","doi":"10.5358/hsj.37.40","usgsCitation":"Lovich, J.E., Puffer, S., Agha, M., Ennen, J., Meyer-Wilkins, K., Tennant, L.A., Smith, A.L., Arundel, T.R., Brundige, K.D., and Vamstad, M.S., 2018, Reproductive output and clutch phenology of female Agassiz's desert tortoises (Gopherus agassizii) in the Sonoran Desert region of Joshua Tree National Park: Current Herpetology, v. 37, no. 1, p. 40-57, https://doi.org/10.5358/hsj.37.40.","productDescription":"18 p.","startPage":"40","endPage":"57","ipdsId":"IP-088807","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":438029,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JW8D4B","text":"USGS data release","linkHelpText":"Reproductive ecology data for female Agassiz's desert tortoises (Gopherus agassizii) in Joshua Tree National Park. USA"},{"id":367197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Joshua Tree National Park, Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.93298339843749,\n 33.58716733904656\n ],\n [\n -115.103759765625,\n 33.58716733904656\n ],\n [\n -115.103759765625,\n 34.28445325435288\n ],\n [\n -116.93298339843749,\n 34.28445325435288\n ],\n [\n -116.93298339843749,\n 33.58716733904656\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puffer, Shellie R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":193099,"corporation":false,"usgs":true,"family":"Puffer","given":"Shellie R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":770162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":770163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer-Wilkins, Kathie","contributorId":8742,"corporation":false,"usgs":false,"family":"Meyer-Wilkins","given":"Kathie","affiliations":[],"preferred":false,"id":770164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tennant, Laura A. 0000-0003-0062-7287 ltennant@usgs.gov","orcid":"https://orcid.org/0000-0003-0062-7287","contributorId":5984,"corporation":false,"usgs":true,"family":"Tennant","given":"Laura","email":"ltennant@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Amanda L","contributorId":218760,"corporation":false,"usgs":false,"family":"Smith","given":"Amanda","email":"","middleInitial":"L","affiliations":[{"id":39902,"text":"University of Arizona, College of Architecture, Planning and Landscape Architecture, 1040 Olive Road, Tucson, AZ 85719, USA","active":true,"usgs":false}],"preferred":false,"id":770165,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arundel, Terence R. 0000-0003-0324-4249 tarundel@usgs.gov","orcid":"https://orcid.org/0000-0003-0324-4249","contributorId":139242,"corporation":false,"usgs":true,"family":"Arundel","given":"Terence","email":"tarundel@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770168,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brundige, Kathleen D.","contributorId":193101,"corporation":false,"usgs":false,"family":"Brundige","given":"Kathleen","email":"","middleInitial":"D.","affiliations":[{"id":33710,"text":"Coachella Valley Conservation Commission, 73-710 Fred Waring Drive, Suite 200, Palm Desert, CA 92260-2516, USA","active":true,"usgs":false}],"preferred":false,"id":770169,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vamstad, Michael S.","contributorId":193100,"corporation":false,"usgs":false,"family":"Vamstad","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":33709,"text":"National Park Service, Joshua Tree National Park, 74485 National Park Drive, Twentynine Palms, CA 92277-3597, USA","active":true,"usgs":false}],"preferred":false,"id":770167,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70202467,"text":"70202467 - 2018 - A surrogate regression approach for computing continuous loads for the tributary nutrient and sediment monitoring program on the Great Lakes","interactions":[],"lastModifiedDate":"2019-03-04T15:31:28","indexId":"70202467","displayToPublicDate":"2018-02-01T15:30:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A surrogate regression approach for computing continuous loads for the tributary nutrient and sediment monitoring program on the Great Lakes","docAbstract":"Water quality (WQ) in many Great Lake tributaries has been degraded (increased nutrient and sediment concentrations) due to changes in their watersheds, resulting in downstream eutrophication. As part of the Great Lakes Water Quality Agreement, specific goals were established for loading of specific constituents (e.g., phosphorus). In 2010, the Great Lakes Restoration Initiative was launched to identify problem areas, accelerate restoration efforts, and track their progress. In 2011, the U.S. Geological Survey established a monitoring program on 30 tributaries to the lakes, representing ~ 46% of the U.S. draining area and the spectrum of land uses. Discrete measurements of nutrients and suspended sediment, and continuous measurements of flow and WQ surrogates (turbidity, temperature, specific conductance, pH, and dissolved oxygen) are being collected in these tributaries to document their WQ and estimate continuous (5-min) loading. To estimate loadings, two regression models were developed for each constituent for each site: one using continuous flow and a seasonality factor; and one using flow, seasonality, and continuous surrogates. Variables included in the final models for each constituent were chosen from the explanatory variables that worked “best” for all sites. In computing loads, when continuous surrogate data were unavailable for short periods, loads were computed using the flow and seasonality models. Prediction intervals for all loads were calculated using results from both models. These results provide a better understanding of short-term variability and long-term changes in loading affecting the environmental health of the Great Lakes than traditional regression techniques that employ only flow and seasonality parameters.
Hydrologic variables such as evapotranspiration (ET) and soil water storage are difficult to observe across spatial scales in complex terrain. Streamflow and lidar‐derived snow observations provide information about distributed hydrologic processes such as snowmelt, infiltration, and storage. We use a distributed streamflow data set across eight basins in the upper Tuolumne River region of Yosemite National Park in the Sierra Nevada mountain range, and the NASA Airborne Snow Observatory (ASO) lidar‐derived snow data set over 3 years (2013–2015) during a prolonged drought in California, to estimate basin‐scale water balance components. We compare snowmelt and cumulative precipitation over periods from the ASO flight to the end of the water year against cumulative streamflow observations. The basin water balance residual term (snow melt plus precipitation minus streamflow) is calculated for each basin and year. Using soil moisture observations and hydrologic model simulations, we show that the residual term represents short‐term changes in basin water storage over the snowmelt season, but that over the period from peak snow water equivalent (SWE) to the end of summer, it represents cumulative basin‐mean ET. Warm‐season ET estimated from this approach is 168 (85–252 at 95% confidence), 162 (0–326) and 191 (48–334) mm averaged across the basins in 2013, 2014, and 2015, respectively. These values are lower than previous full‐year and point ET estimates in the Sierra Nevada, potentially reflecting reduced ET during drought, the effects of spatial variability, and the part‐year time period. Using streamflow and ASO snow observations, we quantify spatially‐distributed hydrologic processes otherwise difficult to observe.
","language":"English","publisher":"AGU","doi":"10.1002/2017WR020473","usgsCitation":"Henn, B., Painter, T.H., Bormann, K.J., McGurk, B., Flint, A.L., Flint, L.E., White, V., and Lundquist, J., 2018, High‐elevation evapotranspiration estimates during drought: Using streamflow and NASA Airborne Snow Observatory SWE observations to vlose the upper Tuolumne River Basin eater balance: Water Resources Research, v. 54, no. 2, p. 746-766, https://doi.org/10.1002/2017WR020473.","productDescription":"21 p.","startPage":"746","endPage":"766","ipdsId":"IP-083705","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":469044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020473","text":"Publisher Index Page"},{"id":357979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Tuolumne River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120,\n 37.5\n ],\n [\n -119,\n 37.5\n ],\n [\n -119,\n 38.25\n ],\n [\n -120,\n 38.25\n ],\n [\n -120,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-03","publicationStatus":"PW","scienceBaseUri":"5bc03033e4b0fc368eb539dc","contributors":{"authors":[{"text":"Henn, Brian","contributorId":139777,"corporation":false,"usgs":false,"family":"Henn","given":"Brian","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":746954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Painter, Thomas H.","contributorId":12378,"corporation":false,"usgs":true,"family":"Painter","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":746955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bormann, Kathryn J.","contributorId":208401,"corporation":false,"usgs":false,"family":"Bormann","given":"Kathryn","email":"","middleInitial":"J.","affiliations":[{"id":37796,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena","active":true,"usgs":false}],"preferred":false,"id":746960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGurk, Bruce","contributorId":74457,"corporation":false,"usgs":true,"family":"McGurk","given":"Bruce","affiliations":[],"preferred":false,"id":746956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":746953,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":746957,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Vince","contributorId":208399,"corporation":false,"usgs":false,"family":"White","given":"Vince","email":"","affiliations":[{"id":37795,"text":"Southern California Edison","active":true,"usgs":false}],"preferred":false,"id":746958,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lundquist, Jessica D.","contributorId":12792,"corporation":false,"usgs":true,"family":"Lundquist","given":"Jessica D.","affiliations":[],"preferred":false,"id":746959,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70199376,"text":"70199376 - 2018 - Monitoring global tree mortality patterns and trends. Report from the VW symposium ‘Crossing scales and disciplines to identify global trends of tree mortality as indicators of forest health’","interactions":[],"lastModifiedDate":"2018-09-17T14:20:18","indexId":"70199376","displayToPublicDate":"2018-02-01T14:20:11","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring global tree mortality patterns and trends. Report from the VW symposium ‘Crossing scales and disciplines to identify global trends of tree mortality as indicators of forest health’","docAbstract":"Corrosion in water-distribution systems is a costly problem and controlling corrosion is a primary focus of efforts to reduce lead (Pb) and copper (Cu) in tap water. High chloride concentrations can increase the tendency of water to cause corrosion in distribution systems. The effects of chloride are also expressed in several indices commonly used to describe the potential corrosivity of water, the chloride-sulfate mass ratio (CSMR) and the Larson Ratio (LR). Elevated CSMR has been linked to the galvanic corrosion of Pb whereas LR is indicative of the corrosivity of water to iron and steel. Despite the known importance of chloride, CSMR, and LR to the potential corrosivity of water, monitoring of seasonal and interannual changes in these parameters is not common among water purveyors. We analyzed long-term trends (1992–2012) and the current status (2010–2015) of chloride, CSMR, and LR in order to investigate the short and long-term temporal variability in potential corrosivity of US streams and rivers. Among all sites in the trend analyses, chloride, CSMR, and LR increased slightly, with median changes of 0.9 mg L− 1, 0.08, and 0.01, respectively. However, urban-dominated sites had much larger increases, 46.9 mg L− 1, 2.50, and 0.53, respectively. Median CSMR and LR in urban streams (4.01 and 1.34, respectively) greatly exceeded thresholds found to cause corrosion in water distribution systems (0.5 and 0.3, respectively). Urbanization was strongly correlated with elevated chloride, CSMR, and LR, especially in the most snow-affected areas in the study, which are most likely to use road salt. The probability of Pb action-level exceedances (ALEs) in drinking water facilities increased along with raw surface water CSMR, indicating a statistical connection between surface water chemistry and corrosion in drinking water facilities. Optimal corrosion controlwill require monitoring of critical constituents reflecting the potential corrosivity in surface waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.07.119","usgsCitation":"Stets, E.G., Lee, C.J., Lytle, D.A., and Schock, M.R., 2018, Increasing chloride in rivers of the conterminous U.S. and linkages to potential corrosivity and lead action level exceedances in drinking water: Science of the Total Environment, v. 613-614, p. 1498-1509, https://doi.org/10.1016/j.scitotenv.2017.07.119.","productDescription":"12 p.","startPage":"1498","endPage":"1509","ipdsId":"IP-086674","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":469045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.07.119","text":"Publisher Index Page"},{"id":358282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"613-614","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc03033e4b0fc368eb539e0","contributors":{"authors":[{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":748050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Casey J. 0000-0002-5753-2038 cjlee@usgs.gov","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":208695,"corporation":false,"usgs":true,"family":"Lee","given":"Casey","email":"cjlee@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":748051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lytle, Darren A.","contributorId":208696,"corporation":false,"usgs":false,"family":"Lytle","given":"Darren","email":"","middleInitial":"A.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":748052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schock, Michael R.","contributorId":208697,"corporation":false,"usgs":false,"family":"Schock","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":748053,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202267,"text":"70202267 - 2018 - Wind River Subbasin Restoration, Annual report of U.S. Geological Survey activities, January 2016 through December 2016","interactions":[],"lastModifiedDate":"2019-02-20T11:24:57","indexId":"70202267","displayToPublicDate":"2018-02-01T11:24:50","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Wind River Subbasin Restoration, Annual report of U.S. Geological Survey activities, January 2016 through December 2016","docAbstract":"We used Passive Integrated Transponder (PIT)-tagging and a series of instream PIT-tag interrogation systems (PTISs) to investigate life-histories, populations, and efficacy of habitat restoration actions for steelhead Oncorhynchus mykiss in the Wind River subbasin, WA. Our tagging focused on parr in headwaters areas of the subbasin and our instream readers provided information on movement of these parr and other life-stages of tagged steelhead. The Wind River subbasin in southwest Washington State provides habitat for a population of wild Lower Columbia River steelhead and is an excellent watershed for long-term studies of population dynamics and responses to restoration of this wild population. No hatchery steelhead have been planted in the Wind River subbasin since 1994, and hatchery adults are estimated to be less than one percent of adults in any year (pers comm. Thomas Buehrens, Washington Department of Fish and Wildlife). Numerous restoration actions have been implemented in the subbasin, including the removal of Hemlock Dam on Trout Creek in 2009. Data from our study, and companion work by Washington Department of Fish and Wildlife (WDFW), will contribute to Bonneville Power Administration’s (BPA) Research Monitoring and Evaluation (RM&E) Program Strategy of Fish Population Status Monitoring (www.cbfish.org/ProgramStrategy.mvc/ViewProgramStrategySummary/1), specifically the substrategies of: 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and to Uncertainties Research regarding differing life histories of a wild steelhead population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives.
During summer 2016, we sampled and PIT-tagged age-0 and age-1 steelhead parr in headwater areas of the Wind River subbasin to characterize population traits and investigate variable life-histories, including growth and parr movement downstream prior to smolting. Repeat sampling and smolt traps provide opportunities for recapture, and instream PTISs and Columbia River infrastructure provide opportunity for detection of PIT-tagged fish.
Throughout the year, we maintained a series of instream PTISs to monitor movement of tagged steelhead parr, smolts, and adults. During 2016, we repaired or replaced much of our instream PTIS infrastructure that had been damaged or destroyed during a large flood event in December 2015. This included moving our upper Wind River detection site (WRU) about a kilometer downstream to a location we hope to be less susceptible to damage in high flows and that will allow grid power connection for more reliable winter operations.
Detections at the instream PTISs showed trends of parr emigration during summer and fall, in addition to the expected movement of parr and smolts in spring. These data are increasing our understanding of varied life histories of juvenile steelhead; paired with other steelhead population work in the subbasin we hope to begin to understand some of the factors which may influence parr movements. Long-term monitoring of PIT-tagged fish over multiple years is providing information on contribution of various life-history strategies to smolt production and adult returns, as well as helping to identify factors influencing parr movement.
Movements of PIT-tagged adult steelhead were also tracked with our instream PTISs. These data have provided information on timing of adult movements to various parts of the watershed, which is allowing us to assess adult returns to tributary watersheds within the Wind River subbasin. Determination of adult use of tributary watersheds is providing data to contribute to evaluation of the efficacy of the removal of Hemlock Dam on Trout Creek. Hemlock Dam, located at rkm 2.0 of Trout Creek was removed in summer 2009 and had contributed to hydrologic impairment of Trout Creek
Evaluating restoration efforts is of interest to many managers and agencies so that funding and time are allocated for best results. The evaluation of various life-histories of Lower Columbia River steelhead within the Wind River subbasin will provide information to better track populations, and to direct habitat restoration and water allocation planning. Increasingly detailed Viable Salmonid Population information, such as that provided by PIT-tagging and instream PTISs networks like those we are building and operating in the Wind River subbasin, will provide data to inform policy and management, as life-history strategies and production bottlenecks are identified and understood.
","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Jezorek, I.G., and Connolly, P., 2018, Wind River Subbasin Restoration, Annual report of U.S. Geological Survey activities, January 2016 through December 2016, 54 p.","productDescription":"54 p.","ipdsId":"IP-093844","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":361385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361346,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Document.mvc/DocumentViewer/P161233/77688-1.pdf"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":757561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":757562,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199044,"text":"70199044 - 2018 - Den phenology and reproductive success of polar bears in a changing climate","interactions":[],"lastModifiedDate":"2018-08-30T10:50:23","indexId":"70199044","displayToPublicDate":"2018-02-01T10:50:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Den phenology and reproductive success of polar bears in a changing climate","docAbstract":"Synchrony between reproduction and food availability is important in mammals due to the high energetic costs of gestation and lactation. Female polar bears (Ursus maritimus) must accumulate sufficient energy reserves during spring through autumn to produce and nurse cubs during the winter months in snow dens. Adequate time in a den is important to optimize cub development for withstanding harsh Arctic spring conditions and to synchronize emergence with peak prey availability, which occurs in May and June. During 1985–2013, den phenology was investigated using temperature data collected on satellite collars deployed on adult female polar bears in the southern Beaufort Sea (SB) and Chukchi Sea (CS). We examined relationships between den phenology, reproductive success (cub production and post-emergence survival), and environmental factors (weather and sea-ice conditions). Females observed with cubs emerged later and remained in dens on average 15.0 ± 7.6 (SE) days longer than females seen without cubs. Females occupying land-based dens, where estimated snowfall was greater, had higher reproductive success. Recently, female polar bears have increased land-based denning in the SB. Females in CS emerged later from dens than SB females, consistent with better female body condition and higher cub survival in the CS. During years with a greater area of autumn sea ice, reproductive success was higher at land-based versus sea-ice dens, suggesting continued decline in sea ice could negatively affect recruitment. However, further research is needed to better understand mechanistic relationships. Because females emerging later from dens had higher reproductive success, den duration could be a useful metric in population monitoring.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyx181","usgsCitation":"Rode, K.D., Olson, J., Eggett, D.L., Douglas, D., Durner, G.M., Atwood, T.C., Regehr, E.V., Wilson, R.H., Smith, T., and St. Martin, M., 2018, Den phenology and reproductive success of polar bears in a changing climate: Journal of Mammalogy, v. 99, no. 1, p. 16-26, https://doi.org/10.1093/jmammal/gyx181.","productDescription":"11 p.","startPage":"16","endPage":"26","ipdsId":"IP-088002","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469046,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://zenodo.org/record/7850258","text":"Publisher Index Page"},{"id":438030,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DF6PC9","text":"USGS data release","linkHelpText":"Denning Phenology, Den Substrate, and Reproductive Success of Female Polar Bears (Ursus maritimus) in the southern Beaufort Sea 1986-2013 and the Chukchi Sea 1987-1994"},{"id":356949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -186.328125,\n 66\n ],\n [\n -117.68554687499999,\n 66\n ],\n [\n -117.68554687499999,\n 80\n ],\n [\n -186.328125,\n 80\n ],\n [\n -186.328125,\n 66\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"99","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-11","publicationStatus":"PW","scienceBaseUri":"5b98a300e4b0702d0e84301c","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":743846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, Jay","contributorId":150116,"corporation":false,"usgs":false,"family":"Olson","given":"Jay","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":743847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eggett, Dennis L.","contributorId":191388,"corporation":false,"usgs":false,"family":"Eggett","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":743848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":743849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":743850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":743851,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":743852,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":743853,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Tom","contributorId":207440,"corporation":false,"usgs":false,"family":"Smith","given":"Tom","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":743854,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"St. Martin, Michelle","contributorId":150114,"corporation":false,"usgs":false,"family":"St. Martin","given":"Michelle","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":743855,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70199514,"text":"70199514 - 2018 - Poroelastic stress changes associated with primary oil production in the Los Angeles Basin, California","interactions":[],"lastModifiedDate":"2018-09-20T10:36:41","indexId":"70199514","displayToPublicDate":"2018-02-01T10:36:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Poroelastic stress changes associated with primary oil production in the Los Angeles Basin, California","docAbstract":"While recent investigations of induced earthquakes have focused on earthquakes associated with wastewater injection and unconventional recovery methods, the potential for earthquakes to be induced by primary production has long been recognized. We use boundary element methods to quantify the predicted geometry and amplitude of stress and strain changes associated with removal of large volumes of fluids in poroelastic reservoirs, focusing on the Los Angeles Basin (LA Basin) in California. We show that significant stress perturbations (upward of 0.1 MPa), while localized, typically extended several kilometers away from production horizons by the early 1940s. By this time, production horizons in the southwestern LA Basin were 2–4 km deep; models thus predict that stress conditions would have been perturbed significantly on faults at the upper edge of the seismogenic brittle crust, typically around 6 km. Predicted stress and strain changes associated with oil fields in the southwestern LA Basin during the first half of the 20th century, combined with stress changes caused by the 1933 Long Beach earthquake, could plausibly have induced a number of moderate-to-large earthquakes between 1932 and 1944. The rate of earthquakes in the southwestern LA Basin has been significantly lower since 1945 than it was for the three decades prior to 1945. We conclude that while decreasing production and pore-pressure reduction contributed to the initial decline, the continued decline was due in part to the advent of widespread water-flooding methods that maintained subsurface reservoir pressures.
","language":"English","publisher":"Society of Exploration Geophysicsts","doi":"10.1190/tle37020108.1","usgsCitation":"Hough, S.E., and Bilham, R.G., 2018, Poroelastic stress changes associated with primary oil production in the Los Angeles Basin, California: The Leading Edge, v. 37, no. 2, p. 108-116, https://doi.org/10.1190/tle37020108.1.","productDescription":"9 p.","startPage":"108","endPage":"116","ipdsId":"IP-093213","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":357538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Los Angeles Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.5,\n 33.67\n ],\n [\n -118,\n 33.67\n ],\n [\n -118,\n 34\n ],\n [\n -118.5,\n 34\n ],\n [\n -118.5,\n 33.67\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc03033e4b0fc368eb539e2","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":745652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bilham, Roger G. 0000-0002-5547-4102","orcid":"https://orcid.org/0000-0002-5547-4102","contributorId":48200,"corporation":false,"usgs":true,"family":"Bilham","given":"Roger","email":"","middleInitial":"G.","affiliations":[],"preferred":true,"id":745653,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203513,"text":"70203513 - 2018 - Mass addition at Mount St. Helens, Washington, inferred from repeated gravity surveys","interactions":[],"lastModifiedDate":"2019-05-20T10:02:58","indexId":"70203513","displayToPublicDate":"2018-02-01T10:02:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mass addition at Mount St. Helens, Washington, inferred from repeated gravity surveys","docAbstract":"Measurements of subtle changes in the Earth’s gravityfield can provideinformation on the addition/loss of mass (e.g., magma or aqueousfluids) beneath a volcano. In this study, wemeasured gravity at Mount St. Helens from 2010 to 2016 to investigate possible mass changes followingthe 2004–2008 dome-forming eruption. The raw gravity measurements were corrected for changes in themass and shape of Crater Glacier and for deformation of the volcanic edifice to obtain residual gravity values.We found positive residual gravity changes that we interpret as evidence for partial recharge of the magmareservoir that fed the 2004–2008 eruption and/or for accumulation of groundwater in one or more shallowaquifers. Most of the gravity signal can be explained by groundwater accumulation; magma recharge is notrequired. However, there is additional evidence for at least partial recharge from seismic, deformation, andgeochemical observations","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014990","usgsCitation":"Battaglia, M., Lisowski, M., Dzurisin, D., Poland, M.P., Schilling, S., Diefenbach, A., and Wynn, J., 2018, Mass addition at Mount St. Helens, Washington, inferred from repeated gravity surveys: Journal of Geophysical Research B: Solid Earth, v. 123, no. 2, p. 1856-1874, https://doi.org/10.1002/2017JB014990.","productDescription":"19 p.","startPage":"1856","endPage":"1874","ipdsId":"IP-090808","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jb014990","text":"Publisher Index Page"},{"id":364002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Saint Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.28813171386719,\n 46.043212267295026\n ],\n [\n -122.28813171386719,\n 46.28717293114449\n ],\n [\n -121.99012756347658,\n 46.28717293114449\n ],\n [\n -121.99012756347658,\n 46.043212267295026\n ],\n [\n -122.28813171386719,\n 46.043212267295026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Battaglia, Maurizio 0000-0003-4726-5287 mbattaglia@usgs.gov","orcid":"https://orcid.org/0000-0003-4726-5287","contributorId":204742,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lisowski, Michael 0000-0003-4818-2504 mlisowski@usgs.gov","orcid":"https://orcid.org/0000-0003-4818-2504","contributorId":637,"corporation":false,"usgs":true,"family":"Lisowski","given":"Michael","email":"mlisowski@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":762949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762951,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schilling, Steve","contributorId":215674,"corporation":false,"usgs":false,"family":"Schilling","given":"Steve","affiliations":[],"preferred":false,"id":762952,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":204743,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762953,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wynn, Jeff 0000-0002-8102-3882","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":215675,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","affiliations":[],"preferred":true,"id":762954,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188594,"text":"sir20175064 - 2018 - Bathymetry of Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie Reservoirs, New York, 2013–15","interactions":[],"lastModifiedDate":"2018-12-06T12:02:20","indexId":"sir20175064","displayToPublicDate":"2018-02-01T09:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5064","title":"Bathymetry of Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie Reservoirs, New York, 2013–15","docAbstract":"Drinking water for New York City is supplied from several large reservoirs, including a system of reservoirs west of the Hudson River. To provide updated reservoir capacity tables and bathymetry maps of the City’s six West of Hudson reservoirs, bathymetric surveys were conducted by the U.S. Geological Survey from 2013 to 2015. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system along planned transects at predetermined intervals for each reservoir. A separate quality assurance dataset of echo sounder points was collected along transects at oblique angles to the main transects for accuracy assessment. Field-survey data were combined with water surface elevations in a geographic information system to create three-dimensional surfaces in the form of triangulated irregular networks (TINs) representing the elevations of the reservoir geomorphology. The TINs were linearly enforced to better represent geomorphic features within the reservoirs. The linearly enforced TINs were then used to create raster surfaces and 2-foot-interval contour maps of the reservoirs. Elevationarea-capacity tables were calculated at 0.01-foot intervals. The results of the surveys show that the total capacity of the West of Hudson reservoirs decreased by 11.5 billion gallons (Ggal), or 2.3 percent, because of sedimentation since construction, and the useable capacity (the volume above the minimum operating level required to deliver full flow for drinking water supply) has decreased by 7.9 Ggal (1.7 percent). The available capacity (the volume between the spillway elevation and the lowest intake or sill elevation used for drinking water supply) decreased by 9.6 Ggal (2.0 percent), and dead storage (the volume below the lowest intake or sill elevation) decreased by 1.9 Ggal (11.6 percent). The elevation of the spillway at Schoharie Reservoir was changed because of reconstruction during 2015, resulting in an additional decrease of 0.1 Ggal in total, useable, and available capacity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175064","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Nystrom, E.A., 2018, Bathymetry of Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie Reservoirs, New York, 2013–15 (ver. 1.2, November 2018): U.S. Geological Survey Scientific Investigations Report 2017–5064, 29 p., https://doi.org/10.3133/sir20175064.","productDescription":"Report: ix, 29 p.; 6 Data Releases","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-080367","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":343564,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71C1V1W","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial bathymetry dataset and elevation-area-capacity table for Neversink Reservoir, 2013 to 2014 "},{"id":343567,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7J964HB","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial bathymetry dataset and elevation-area-capacity table for Schoharie Reservoir, 2015 "},{"id":343563,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WM1BJK","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial bathymetry dataset and elevation-area-capacity table for Cannonsville Reservoir, 2015 "},{"id":343562,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P26W7P","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial bathymetry dataset and elevation-area-capacity table for Ashokan Reservoir, 2013 to 2014 "},{"id":343561,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5064/sir20175064.pdf","text":"Report","size":"19.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5064"},{"id":351432,"rank":9,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2017/5064/versionHist.txt","size":"2.10 KB","linkFileType":{"id":2,"text":"txt"}},{"id":343560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5064/coverthb4.jpg"},{"id":343565,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DJ5CSM","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial bathymetry dataset and elevation-area-capacity table for Pepacton Reservoir, 2015"},{"id":343566,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7542KR6","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial bathymetry dataset and elevation-area-capacity table for Rondout Reservoir, 2013 to 2014"}],"country":"United States","state":"New York","otherGeospatial":"Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie Reservoirs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.5,\n 41.75\n ],\n [\n -74,\n 41.75\n ],\n [\n -74,\n 42.5\n ],\n [\n -75.5,\n 42.5\n ],\n [\n -75.5,\n 41.75\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted February 1, 2018; Version 1.1: February 12, 2018, Version 1.2: November 21, 2018","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
Thermal stratification is important to the structure and function of lake and reservoir ecosystems. Yet when lakes undergo eutrophication, thermal stratification can exacerbate water quality problems. As a result, lake management has sometimes involved artificial mixing and destratification, though the available technologies are few and costly. It is therefore important to test the efficacy of new technologies when they arise. Here, we evaluate a lake mixing technology, the “Gradual Entrainment Lake Inverter” (GELI), which was used to mix Crystal Lake, Wisconsin, a 34 ha, 21 m deep, dimictic lake during the summer months of 2012 and 2013. To assess the effect of the GELI treatment on thermal regime, we used DYRESM to model thermal conditions in the 2 treatment years but in the absence of treatment. We found GELI treatment slowly reduced stratification and the temperature range of the lake to 4.2 and 5.3 C in each treatment year, on average. Full destratification and oxygenation of the water column prevented fall hypoxia and anoxia. We found efficiency of the GELI averaged 1.9% during treatment, which is higher than efficiencies reported from field applications of bubble plume aeration. We used DYRESM to simulate bubble plume aeration to match the observed destratification from our GELI treatment and estimate aeration would have required 1.4–1.8 times the airflow and power costs of the GELI. Though considerable limitations of the current iteration of this technology exist, these may be reduced in future versions, possibly leading to a practical lake and reservoir management tool.
Much of our understanding of en route landbird habitat use comes from research performed at local scales, ignoring effects at larger spatial scales. We used a multiscale approach to investigate stopover habitat use by landbirds using transect surveys in 68 forested sites in southwestern Michigan, USA, during the springs of 2002 and 2003. We modeled relationships of bird density and arthropod abundance with broad-scale spatiotemporal factors (year, day of year, geographic location) and local landscape (forest composition and structure, presence of open water) as well as site-scale factors (bird density and arthropod abundance, which exchanged roles as predictor and response variables). We found migrant densities to be most influenced by fine-scale factors, such as the abundance of other avian taxa and substrate arthropods, followed by broader-scale factors, such as forest structure and location, within the local and broader surrounding landscape. We found that migrant habitat associations either did not directly match or were weakly associated with the availability of riparian or lacustrine water habitats at a local scale, even though our results suggested that birds using these habitat cues would have encountered more arthropods. Rather than finding indirect measures of food abundance—such as distance to a water source or forest cover at the landscape scale—important, our models best explained bird density by a direct relationship with site-scale food resources. Thus, the scale at which migrants demonstrate habitat selection appears to be influenced by proximate mechanisms such as high-quality habitat availability and the presence of large ecological features within the landscape. Not only do factors operating at multiple scales influence how birds use habitats, but scale also influences how we interpret research findings, in turn influencing conservation decisions.
","language":"English","publisher":"Oxford Academic","doi":"10.1650/CONDOR-17-33.1","usgsCitation":"Zenzal, T., Smith, R., Ewert, D.N., Diehl, R.H., and Buler, J.J., 2018, Fine-scale heterogeneity drives forest use by spring migrant landbirds across a broad, contiguous forest matrix: Ornithological Applications, v. 120, no. 1, p. 166-184, https://doi.org/10.1650/CONDOR-17-33.1.","productDescription":"19 p.","startPage":"166","endPage":"184","ipdsId":"IP-084874","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":469048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-33.1","text":"Publisher Index Page"},{"id":410461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.57971174479208,\n 42.71893219358296\n ],\n [\n -85.57971174479208,\n 42.54471942672549\n ],\n [\n -85.31477909045175,\n 42.54471942672549\n ],\n [\n -85.31477909045175,\n 42.71893219358296\n ],\n [\n -85.57971174479208,\n 42.71893219358296\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"120","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zenzal, Theodore J. Jr.","contributorId":299882,"corporation":false,"usgs":false,"family":"Zenzal","given":"Theodore J.","suffix":"Jr.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":858906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Robert J.","contributorId":299883,"corporation":false,"usgs":false,"family":"Smith","given":"Robert J.","affiliations":[{"id":64967,"text":"University of Scranton","active":true,"usgs":false}],"preferred":false,"id":858907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ewert, David N.","contributorId":299884,"corporation":false,"usgs":false,"family":"Ewert","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":34601,"text":"Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":858908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":858909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buler, Jeffrey J.","contributorId":194648,"corporation":false,"usgs":false,"family":"Buler","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":858910,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194994,"text":"70194994 - 2018 - Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality","interactions":[],"lastModifiedDate":"2018-02-01T17:03:36","indexId":"70194994","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality","docAbstract":"Implicit and explicit use of expert knowledge to inform ecological analyses is becoming increasingly common because it often represents the sole source of information in many circumstances. Thus, there is a need to develop statistical methods that explicitly incorporate expert knowledge, and can successfully leverage this information while properly accounting for associated uncertainty during analysis. Studies of cause-specific mortality provide an example of implicit use of expert knowledge when causes-of-death are uncertain and assigned based on the observer's knowledge of the most likely cause. To explicitly incorporate this use of expert knowledge and the associated uncertainty, we developed a statistical model for estimating cause-specific mortality using a data augmentation approach within a Bayesian hierarchical framework. Specifically, for each mortality event, we elicited the observer's belief of cause-of-death by having them specify the probability that the death was due to each potential cause. These probabilities were then used as prior predictive values within our framework. This hierarchical framework permitted a simple and rigorous estimation method that was easily modified to include covariate effects and regularizing terms. Although applied to survival analysis, this method can be extended to any event-time analysis with multiple event types, for which there is uncertainty regarding the true outcome. We conducted simulations to determine how our framework compared to traditional approaches that use expert knowledge implicitly and assume that cause-of-death is specified accurately. Simulation results supported the inclusion of observer uncertainty in cause-of-death assignment in modeling of cause-specific mortality to improve model performance and inference. Finally, we applied the statistical model we developed and a traditional method to cause-specific survival data for white-tailed deer, and compared results. We demonstrate that model selection results changed between the two approaches, and incorporating observer knowledge in cause-of-death increased the variability associated with parameter estimates when compared to the traditional approach. These differences between the two approaches can impact reported results, and therefore, it is critical to explicitly incorporate expert knowledge in statistical methods to ensure rigorous inference.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3701","usgsCitation":"Walsh, D.P., Norton, A.S., Storm, D.J., Van Deelen, T.R., and Heisy, D.M., 2018, Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality: Ecology and Evolution, v. 8, no. 1, p. 509-520, https://doi.org/10.1002/ece3.3701.","productDescription":"12 p.","startPage":"509","endPage":"520","ipdsId":"IP-090309","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3701","text":"Publisher Index Page"},{"id":350936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-30","publicationStatus":"PW","scienceBaseUri":"5a74357de4b0a9a2e9e25c72","contributors":{"authors":[{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":726489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norton, Andrew S.","contributorId":171631,"corporation":false,"usgs":false,"family":"Norton","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":726490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storm, Daniel J.","contributorId":171373,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":726491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Deelen, Timothy R.","contributorId":145413,"corporation":false,"usgs":false,"family":"Van Deelen","given":"Timothy","email":"","middleInitial":"R.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":726492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heisy, Dennis M.","contributorId":201572,"corporation":false,"usgs":false,"family":"Heisy","given":"Dennis","email":"","middleInitial":"M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":726493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194959,"text":"70194959 - 2018 - How could a freshwater swamp produce a chemical signature characteristic of a saltmarsh?","interactions":[],"lastModifiedDate":"2025-05-13T16:25:12.462135","indexId":"70194959","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5615,"text":"ACS Earth and Space Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"How could a freshwater swamp produce a chemical signature characteristic of a saltmarsh?","docAbstract":"Reduction–oxidation (redox) reaction conditions, which are of great importance for the soil chemistry of coastal marshes, can be temporally dynamic. We present a transect of cores from northwest Florida wherein radical postdepositional changes in the redox regime has created atypical geochemical profiles at the bottom of the sedimentary column. The stratigraphy is consistent along the transect, consisting of, from the bottom upward, carbonate bedrock, a gray clay, an organic mud section, a dense clay layer, and an upper organic mud unit representing the current saltwater marsh. However, the geochemical signature of the lower organic mud unit suggests pervasive redox reactions, although the interval has been identified as representing a freshwater marsh, an unlikely environment for such conditions. Analyses indicate that this discrepancy results from postdepositional diagenesis driven by millennial-scale environmental parameters. Rising sea level that led to the deposition of the capping clay layer, created anaerobic conditions in the freshwater swamp interval, and isolated it hydrologically from the rest of the sediment column. The subsequent infiltration of marine water into this organic material led to sulfate reduction, the buildup of H2S and FeS, and anoxic conditions. Continued sulfidation eventually resulted in euxinic conditions, as evidenced by elevated levels of Fe, S, and especially Mo, the diagnostic marker of euxinia. Because this chemical transformation occurred long after the original deposition the geochemical signature does not reflect soil chemistry at the time of deposition and cannot be used to infer syn-depositional environmental conditions, emphasizing the importance of recognizing diagenetic processes in paleoenvironmental studies.
","language":"English","publisher":"ACS","doi":"10.1021/acsearthspacechem.7b00098","usgsCitation":"McCloskey, T.A., Smith, C.G., Liu, K., Marot, M.E., and Haller, C., 2018, How could a freshwater swamp produce a chemical signature characteristic of a saltmarsh?: ACS Earth and Space Chemistry, v. 2, no. 1, p. 9-20, https://doi.org/10.1021/acsearthspacechem.7b00098.","productDescription":"12 p.","startPage":"9","endPage":"20","ipdsId":"IP-092624","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":350892,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.78,\n 29.19\n ],\n [\n -82.87,\n 29.19\n ],\n [\n -82.87,\n 29.14\n ],\n [\n -82.78,\n 29.14\n ],\n [\n -82.78,\n 29.19\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-11","publicationStatus":"PW","scienceBaseUri":"5a743582e4b0a9a2e9e25c90","contributors":{"authors":[{"text":"McCloskey, Terrence A. 0000-0003-3979-3821 tmccloskey@usgs.gov","orcid":"https://orcid.org/0000-0003-3979-3821","contributorId":200684,"corporation":false,"usgs":true,"family":"McCloskey","given":"Terrence","email":"tmccloskey@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Kam-biu","contributorId":201527,"corporation":false,"usgs":false,"family":"Liu","given":"Kam-biu","affiliations":[{"id":13050,"text":"Department of Oceanography and Coastal Sciences, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":726298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":726299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haller, Christian","contributorId":200685,"corporation":false,"usgs":false,"family":"Haller","given":"Christian","affiliations":[],"preferred":false,"id":726300,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194952,"text":"70194952 - 2018 - Tidal extension and sea-level rise: recommendations for a research agenda","interactions":[],"lastModifiedDate":"2018-02-01T11:15:48","indexId":"70194952","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Tidal extension and sea-level rise: recommendations for a research agenda","docAbstract":"Sea-level rise is pushing freshwater tides upstream into formerly non-tidal rivers. This tidal extension may increase the area of tidal freshwater ecosystems and offset loss of ecosystem functions due to salinization downstream. Without considering how gains in ecosystem functions could offset losses, landscape-scale assessments of ecosystem functions may be biased toward worst-case scenarios of loss. To stimulate research on this concept, we address three fundamental questions about tidal extension: Where will tidal extension be most evident, and can we measure it? What ecosystem functions are influenced by tidal extension, and how can we measure them? How do watershed processes, climate change, and tidal extension interact to affect ecosystem functions? Our preliminary answers lead to recommendations that will advance tidal extension research, enable better predictions of the impacts of sea-level rise, and help balance the landscape-scale benefits of ecosystem function with costs of response.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1745","usgsCitation":"Ensign, S.H., and Noe, G.E., 2018, Tidal extension and sea-level rise: recommendations for a research agenda: Frontiers in Ecology and the Environment, v. 16, no. 1, p. 37-43, https://doi.org/10.1002/fee.1745.","productDescription":"7 p.","startPage":"37","endPage":"43","ipdsId":"IP-084587","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":350884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-10","publicationStatus":"PW","scienceBaseUri":"5a743583e4b0a9a2e9e25c96","contributors":{"authors":[{"text":"Ensign, Scott H.","contributorId":201517,"corporation":false,"usgs":false,"family":"Ensign","given":"Scott","email":"","middleInitial":"H.","affiliations":[{"id":34812,"text":"Aquatic Analysis and Consulting, LLC, 603 Mandy Court, Morehead City, NC 28557","active":true,"usgs":false}],"preferred":false,"id":726270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":726269,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194991,"text":"70194991 - 2018 - Resource competition model predicts zonation and increasing nutrient use efficiency along a wetland salinity gradient","interactions":[],"lastModifiedDate":"2018-03-05T15:32:47","indexId":"70194991","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Resource competition model predicts zonation and increasing nutrient use efficiency along a wetland salinity gradient","docAbstract":"A trade-off between competitive ability and stress tolerance has been hypothesized and empirically supported to explain the zonation of species across stress gradients for a number of systems. Since stress often reduces plant productivity, one might expect a pattern of decreasing productivity across the zones of the stress gradient. However, this pattern is often not observed in coastal wetlands that show patterns of zonation along a salinity gradient. To address the potentially complex relationship between stress, zonation, and productivity in coastal wetlands, we developed a model of plant biomass as a function of resource competition and salinity stress. Analysis of the model confirms the conventional wisdom that a trade-off between competitive ability and stress tolerance is a necessary condition for zonation. It also suggests that a negative relationship between salinity and production can be overcome if (1) the supply of the limiting resource increases with greater salinity stress or (2) nutrient use efficiency increases with increasing salinity. We fit the equilibrium solution of the dynamic model to data from Louisiana coastal wetlands to test its ability to explain patterns of production across the landscape gradient and derive predictions that could be tested with independent data. We found support for a number of the model predictions, including patterns of decreasing competitive ability and increasing nutrient use efficiency across a gradient from freshwater to saline wetlands. In addition to providing a quantitative framework to support the mechanistic hypotheses of zonation, these results suggest that this simple model is a useful platform to further build upon, simulate and test mechanistic hypotheses of more complex patterns and phenomena in coastal wetlands.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2131","usgsCitation":"Schoolmaster, D., and Stagg, C.L., 2018, Resource competition model predicts zonation and increasing nutrient use efficiency along a wetland salinity gradient: Ecology, v. 99, no. 3, p. 670-680, https://doi.org/10.1002/ecy.2131.","productDescription":"11 p.","startPage":"670","endPage":"680","ipdsId":"IP-089350","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":350913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.09765625,\n 28.459033019728043\n ],\n [\n -88.330078125,\n 28.459033019728043\n ],\n [\n -88.330078125,\n 31.11879439598953\n ],\n [\n -95.09765625,\n 31.11879439598953\n ],\n [\n -95.09765625,\n 28.459033019728043\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"99","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","scienceBaseUri":"5a74357fe4b0a9a2e9e25c78","contributors":{"authors":[{"text":"Schoolmaster, Donald 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":156350,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","email":"schoolmasterd@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":726426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":726427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195006,"text":"70195006 - 2018 - Strengthening links between waterfowl research and management","interactions":[],"lastModifiedDate":"2018-02-02T09:58:33","indexId":"70195006","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Strengthening links between waterfowl research and management","docAbstract":"Waterfowl monitoring, research, regulation, and adaptive planning are leading the way in supporting science-informed wildlife management. However, increasing societal demands on natural resources have created a greater need for adaptable and successful linkages between waterfowl science and management. We presented a special session at the 2016 North American Duck Symposium, Annapolis, Maryland, USA on the successes and challenges of linking research and management in waterfowl conservation, and we summarize those thoughts in this commentary. North American waterfowl management includes a diversity of actions including management of harvest and habitat. Decisions for waterfowl management are structured using decision analysis by incorporating stakeholder values into formal objectives, identifying research relevant to objectives, integrating scientific knowledge, and choosing an optimal strategy with respect to objectives. Recently, the consideration of the value of information has been proposed as a means to evaluate the utility of research designed to meet objectives. Despite these advances, the ability to conduct waterfowl research with direct management application may be increasingly difficult in research institutions for several reasons including reduced funding for applied research and the lower perceived value of applied versus theoretical research by some university academics. In addition, coordination between researchers and managers may be logistically constrained, and communication may be ineffective between the 2 groups. Strengthening these links would help develop stronger and more coordinated approaches for the conservation of waterfowl and the wetlands upon which they depend.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21333","usgsCitation":"Roberts, A.J., Eadie, J.M., Howerter, D., Johnson, F.A., Nichols, J.D., Runge, M.C., Vrtiska, M., and Williams, B., 2018, Strengthening links between waterfowl research and management: Journal of Wildlife Management, v. 82, p. 260-265, https://doi.org/10.1002/jwmg.21333.","productDescription":"6 p.","startPage":"260","endPage":"265","ipdsId":"IP-085037","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":350952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-03","publicationStatus":"PW","scienceBaseUri":"5a7586d5e4b00f54eb1d81d1","contributors":{"authors":[{"text":"Roberts, Anthony J.","contributorId":191131,"corporation":false,"usgs":false,"family":"Roberts","given":"Anthony","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":726541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":726542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howerter, David","contributorId":201603,"corporation":false,"usgs":false,"family":"Howerter","given":"David","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":726543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":726540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":726544,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":726547,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vrtiska, Mark P.","contributorId":201604,"corporation":false,"usgs":false,"family":"Vrtiska","given":"Mark","middleInitial":"P.","affiliations":[{"id":36216,"text":"NE Game & Parks","active":true,"usgs":false}],"preferred":false,"id":726545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Byron K.","contributorId":139564,"corporation":false,"usgs":false,"family":"Williams","given":"Byron K.","affiliations":[{"id":12801,"text":"The Wildlife Society","active":true,"usgs":false}],"preferred":false,"id":726546,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70195145,"text":"70195145 - 2018 - Sirenian life history","interactions":[],"lastModifiedDate":"2018-02-07T13:50:59","indexId":"70195145","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Sirenian life history","docAbstract":"Sirenians, including the manatees and dugongs, are large herbivorous mammals that have evolved to an aquatic form since the Eocene epoch. Sirenians have unique adaptations, including dense bone for ballast and a longitudinal hemidiaphragm separating paired lungs (which aid in maintaining a horizontal posture in the water column), species-specific rostral deflection, and unique dentition for specialized feeding, which all contribute to their success. All sirenians produce one calf per breeding cycle and have long calf-dependency periods. Low reproduction rates are common for long-lived, large mammals, but may compromise their existence in today’s quickly changing world today. All sirenian populations are listed as either threatened or endangered, and some local stocks have been completely extirpated by human activities.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of marine mammals","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-804327-1.00230-2","usgsCitation":"Bonde, R.K., 2018, Sirenian life history, chap. of Encyclopedia of marine mammals, p. 859-861, https://doi.org/10.1016/B978-0-12-804327-1.00230-2.","productDescription":"3 p.","startPage":"859","endPage":"861","ipdsId":"IP-076440","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":351281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e73e4b00f54eb2292e8","contributors":{"authors":[{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":727154,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70196505,"text":"70196505 - 2018 - The effect of isolation, fragmentation, and population bottlenecks on song structure of a Hawaiian honeycreeper","interactions":[],"lastModifiedDate":"2018-04-12T16:38:01","indexId":"70196505","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"The effect of isolation, fragmentation, and population bottlenecks on song structure of a Hawaiian honeycreeper","docAbstract":"Little is known about how important social behaviors such as song vary within and among populations for any of the endemic Hawaiian honeycreepers. Habitat loss and non‐native diseases (e.g., avian malaria) have resulted in isolation and fragmentation of Hawaiian honeycreepers within primarily high elevation forests. In this study, we examined how isolation of Hawai'i ‘amakihi (Chlorodrepanis virens) populations within a fragmented landscape influences acoustic variability in song. In the last decade, small, isolated populations of disease tolerant ‘amakihi have been found within low elevation forests, allowing us to record ‘amakihi songs across a large elevational gradient (10–1800 m) that parallels disease susceptibility on Hawai'i island. To understand underlying differences among populations, we examined the role of geographic distance, elevation, and habitat structure on acoustic characteristics of ‘amakihi songs. We found that the acoustic characteristics of ‘amakihi songs and song‐type repertoires varied most strongly across an elevational gradient. Differences in ‘amakihi song types were primarily driven by less complex songs (e.g., fewer frequency changes, shorter songs) of individuals recorded at low elevation sites compared to mid and high elevation populations. The reduced complexity of ‘amakihi songs at low elevation sites is most likely shaped by the effects of habitat fragmentation and a disease‐driven population bottleneck associated with avian malaria, and maintained through isolation, localized song learning and sharing, and cultural drift. These results highlight how a non‐native disease through its influence on population demographics may have also indirectly played a role in shaping the acoustic characteristics of a species.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3820","usgsCitation":"Pang-Ching, J.M., Paxton, K.L., Paxton, E., Pack, A.A., and Hart, P.J., 2018, The effect of isolation, fragmentation, and population bottlenecks on song structure of a Hawaiian honeycreeper: Ecology and Evolution, v. 8, no. 4, p. 2076-2087, https://doi.org/10.1002/ece3.3820.","productDescription":"12 p.","startPage":"2076","endPage":"2087","ipdsId":"IP-080044","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":469081,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3820","text":"Publisher Index Page"},{"id":353394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.51422119140625,\n 19.11143403582964\n ],\n [\n -154.77813720703125,\n 19.11143403582964\n ],\n [\n -154.77813720703125,\n 20.117839630491634\n ],\n [\n -155.51422119140625,\n 20.117839630491634\n ],\n [\n -155.51422119140625,\n 19.11143403582964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-18","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1d9","contributors":{"authors":[{"text":"Pang-Ching, Joshua M.","contributorId":204175,"corporation":false,"usgs":false,"family":"Pang-Ching","given":"Joshua","email":"","middleInitial":"M.","affiliations":[{"id":36870,"text":"University of Hawai‘i Hilo","active":true,"usgs":false}],"preferred":false,"id":733301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":733302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":733300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pack, Adam A.","contributorId":204176,"corporation":false,"usgs":false,"family":"Pack","given":"Adam","email":"","middleInitial":"A.","affiliations":[{"id":36870,"text":"University of Hawai‘i Hilo","active":true,"usgs":false}],"preferred":false,"id":733303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":733304,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196179,"text":"70196179 - 2018 - Pronounced centennial-scale Atlantic Ocean climate variability correlated with Western Hemisphere hydroclimate","interactions":[],"lastModifiedDate":"2018-03-22T11:46:09","indexId":"70196179","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Pronounced centennial-scale Atlantic Ocean climate variability correlated with Western Hemisphere hydroclimate","docAbstract":"Surface-ocean circulation in the northern Atlantic Ocean influences Northern Hemisphere climate. Century-scale circulation variability in the Atlantic Ocean, however, is poorly constrained due to insufficiently-resolved paleoceanographic records. Here we present a replicated reconstruction of sea-surface temperature and salinity from a site sensitive to North Atlantic circulation in the Gulf of Mexico which reveals pronounced centennial-scale variability over the late Holocene. We find significant correlations on these timescales between salinity changes in the Atlantic, a diagnostic parameter of circulation, and widespread precipitation anomalies using three approaches: multiproxy synthesis, observational datasets, and a transient simulation. Our results demonstrate links between centennial changes in northern Atlantic surface-circulation and hydroclimate changes in the adjacent continents over the late Holocene. Notably, our findings reveal that weakened surface-circulation in the Atlantic Ocean was concomitant with well-documented rainfall anomalies in the Western Hemisphere during the Little Ice Age.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-018-02846-4","usgsCitation":"Thirumalai, K., Quinn, T.M., Okumura, Y., Richey, J.N., Partin, J.W., Poore, R., and Moreno-Chamarro, E., 2018, Pronounced centennial-scale Atlantic Ocean climate variability correlated with Western Hemisphere hydroclimate: Nature Communications, v. 9, p. 1-11, https://doi.org/10.1038/s41467-018-02846-4.","productDescription":"Article number 392; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-073426","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-018-02846-4","text":"Publisher Index Page"},{"id":352729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-26","publicationStatus":"PW","scienceBaseUri":"5afee741e4b0da30c1bfc1ed","contributors":{"authors":[{"text":"Thirumalai, Kaustubh","contributorId":127444,"corporation":false,"usgs":false,"family":"Thirumalai","given":"Kaustubh","email":"","affiliations":[{"id":6732,"text":"Geological Sciences, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":731553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quinn, Terrence M.","contributorId":82949,"corporation":false,"usgs":false,"family":"Quinn","given":"Terrence","email":"","middleInitial":"M.","affiliations":[{"id":6732,"text":"Geological Sciences, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":731554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Okumura, Yuko","contributorId":203458,"corporation":false,"usgs":false,"family":"Okumura","given":"Yuko","email":"","affiliations":[{"id":36624,"text":"Institute for Geophysics, Jackson School of Geosciences, University of Texas at Austin, J. J. Pickle Research Campus, Building 196, 10100 Burnet Road (R2200), Austin, Texas 78758, USA","active":true,"usgs":false}],"preferred":false,"id":731555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":731552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Partin, Judson W.","contributorId":203459,"corporation":false,"usgs":false,"family":"Partin","given":"Judson","email":"","middleInitial":"W.","affiliations":[{"id":36624,"text":"Institute for Geophysics, Jackson School of Geosciences, University of Texas at Austin, J. J. Pickle Research Campus, Building 196, 10100 Burnet Road (R2200), Austin, Texas 78758, USA","active":true,"usgs":false}],"preferred":false,"id":731556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poore, Richard Z.","contributorId":203460,"corporation":false,"usgs":false,"family":"Poore","given":"Richard Z.","affiliations":[{"id":36625,"text":"Emeritus","active":true,"usgs":false}],"preferred":false,"id":731557,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moreno-Chamarro, Eduardo","contributorId":203461,"corporation":false,"usgs":false,"family":"Moreno-Chamarro","given":"Eduardo","email":"","affiliations":[],"preferred":false,"id":731558,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197106,"text":"70197106 - 2018 - Book Review: And then there were none: The demise of Desert Bighorn Sheep in the Pusch Ridge Wilderness","interactions":[],"lastModifiedDate":"2018-05-17T11:32:52","indexId":"70197106","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Book Review: And then there were none: The demise of Desert Bighorn Sheep in the Pusch Ridge Wilderness","docAbstract":"And Then There Were None: The Demise of Desert Bighorn Sheep in the Pusch Ridge Wilderness. Paul R.Krausman. 2017. The University of New Mexico Press, Albuquerque, New Mexico, USA. 248 pp. $65.00 hardcover. ISBN 978‐0‐8263‐5785‐4.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21401","usgsCitation":"Cain, J.W., 2018, Book Review: And then there were none: The demise of Desert Bighorn Sheep in the Pusch Ridge Wilderness: Journal of Wildlife Management, v. 82, no. 2, p. 475-476, https://doi.org/10.1002/jwmg.21401.","productDescription":"2 p.","startPage":"475","endPage":"476","ipdsId":"IP-091658","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-15","publicationStatus":"PW","scienceBaseUri":"5afee73fe4b0da30c1bfc1c5","contributors":{"authors":[{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735613,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70195968,"text":"70195968 - 2018 - Contaminant-associated health effects in fishes from the Ottawa and Ashtabula Rivers, Ohio","interactions":[],"lastModifiedDate":"2018-03-09T15:24:42","indexId":"70195968","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Contaminant-associated health effects in fishes from the Ottawa and Ashtabula Rivers, Ohio","docAbstract":"The health of resident fishes serves as a biologically relevant barometer of aquatic ecosystem integrity. Here, the health of the Ottawa River and Ashtabula River (both within the Lake Erie Basin) were assessed using morphological and immunological biomarkers in brown bullheads (Ameiurus nebulosus) and largemouth bass (Micropterus salmoides). Biomarker metrics were compared to fish collected from a reference site (Conneaut Creek). Data utilized for analyses were collected between 2003 and 2011. Fish collected from all three river systems had markedly different contaminant profiles. Total PCBs were the dominant contaminant class by mass. In bullhead, PCBs were highest in fish from the Ashtabula River and there were no differences in fish collected pre- or post-remediation of Ashtabula Harbor (median = 4.6 and 5.5 mg/kg respectively). Excluding PCBs, the Ottawa River was dominated by organochlorine pesticides. Liver tumor prevalence exceeded the 5% trigger level at both the Ashtabula (7.7%) and Ottawa Rivers (10.2%), but was not statistically different than that at the reference site. There was no statistically significant association between microscopic lesions, gross pathology and contaminant body burdens. Collectively, contaminant body burdens were generally negatively correlated with functional immune responses including bactericidal, cytotoxic-cell and respiratory burst activity in both species. Exceptions were positive correlations of HCB and heptachlor epoxide with respiratory burst activity in largemouth bass, and HCB with respiratory burst activity in bullhead and ΣBHC for all three functional assays in bullhead. Data here provide additional support that organochlorine contamination is associated with immunomodulation, and that species differences exist within sites.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.11.010","usgsCitation":"Iwanowicz, L.R., Blazer, V., Walsh, H.L., Shaw, C.H., DeVault, D.S., and Banda, J.A., 2018, Contaminant-associated health effects in fishes from the Ottawa and Ashtabula Rivers, Ohio: Journal of Great Lakes Research, v. 44, no. 1, p. 184-196, https://doi.org/10.1016/j.jglr.2017.11.010.","productDescription":"13 p.","startPage":"184","endPage":"196","ipdsId":"IP-074666","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.11.010","text":"Publisher Index Page"},{"id":352383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.8751220703125,\n 41.21585377825921\n ],\n [\n -79.727783203125,\n 41.21585377825921\n ],\n [\n -79.727783203125,\n 42.90011265525328\n ],\n [\n -83.8751220703125,\n 42.90011265525328\n ],\n [\n -83.8751220703125,\n 41.21585377825921\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee742e4b0da30c1bfc1f3","contributors":{"authors":[{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaw, Cassidy H. 0000-0003-2639-1241","orcid":"https://orcid.org/0000-0003-2639-1241","contributorId":203239,"corporation":false,"usgs":false,"family":"Shaw","given":"Cassidy","email":"","middleInitial":"H.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":730729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeVault, David S.","contributorId":203240,"corporation":false,"usgs":false,"family":"DeVault","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":730730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Banda, Jo A.","contributorId":196761,"corporation":false,"usgs":false,"family":"Banda","given":"Jo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730731,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190516,"text":"70190516 - 2018 - Nanometre-sized pores in coal: Variations between coal basins and coal origin","interactions":[],"lastModifiedDate":"2018-03-28T14:43:46","indexId":"70190516","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Nanometre-sized pores in coal: Variations between coal basins and coal origin","docAbstract":"We have used small angle neutron scattering (SANS) to investigate the differences in methane and hexane penetration in pores in bituminous coal samples from the U.S., Canada, South Africa, and China, and maceral concentrates from Australian coals. This work is an extension of previous work that showed consistent differences between the extent of penetration by methane into 10–20 nm size pores in inertinite in bituminous coals from Australia, North America and Poland.
In this study we have confirmed that there are differences in the response of inertinite to methane and hexane penetration in coals sourced from different coal basins. Inertinite in Permian Australian coals generally has relatively high numbers of pores in the 2.5–250 nm size range and the pores are highly penetrable by methane and hexane; coals sourced from Western Canada had similar penetrability to these Australian coals. However, the penetrability of methane and hexane into inertinite from the Australian Illawarra Coal Measures (also Permian) is substantially less than that of the other Australian coals; there are about 80% fewer 12 nm pores in Illawarra inertinite compared to the other Australian coals examined. The inertinite in coals sourced from South Africa and China had accessibility intermediate between the Illawarra coals and the other Australian coals.
The extent of hexane penetration was 10–20% less than CD4 penetration into the same coal and this difference was most pronounced in the 5–50 nm pore size range. Hexane and methane penetrability into the coals showed similar trends with inertinite content.
The observed variations in inertinite porosity between coals from different coal regions and coal basins may explain why previous studies differ in their observations of the relationships between gas sorption behavior, permeability, porosity, and maceral composition. These variations are not simply a demarcation between Northern and Southern Hemisphere coals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2017.11.010","usgsCitation":"Sakurovs, R., Koval, L., Grigore, M., Sokolava, A., Ruppert, L.F., and Melnichenko, Y.B., 2018, Nanometre-sized pores in coal: Variations between coal basins and coal origin: International Journal of Coal Geology, v. 186, p. 126-134, https://doi.org/10.1016/j.coal.2017.11.010.","productDescription":"9 p.","startPage":"126","endPage":"134","ipdsId":"IP-089869","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2017.11.010","text":"Publisher Index Page"},{"id":352866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee744e4b0da30c1bfc20f","contributors":{"authors":[{"text":"Sakurovs, Richard 0000-0003-0967-6560","orcid":"https://orcid.org/0000-0003-0967-6560","contributorId":196194,"corporation":false,"usgs":false,"family":"Sakurovs","given":"Richard","email":"","affiliations":[],"preferred":false,"id":709569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koval, Lukas","contributorId":196195,"corporation":false,"usgs":false,"family":"Koval","given":"Lukas","email":"","affiliations":[],"preferred":false,"id":709570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grigore, Mihaela","contributorId":196196,"corporation":false,"usgs":false,"family":"Grigore","given":"Mihaela","email":"","affiliations":[],"preferred":false,"id":709571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sokolava, Anna","contributorId":196198,"corporation":false,"usgs":false,"family":"Sokolava","given":"Anna","email":"","affiliations":[],"preferred":false,"id":709573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":709568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melnichenko, Yuri B.","contributorId":196197,"corporation":false,"usgs":false,"family":"Melnichenko","given":"Yuri","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":709572,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193170,"text":"70193170 - 2018 - Effect of fishing effort on catch rate and catchability of largemouth bass in small impoundments","interactions":[],"lastModifiedDate":"2018-03-28T15:11:54","indexId":"70193170","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effect of fishing effort on catch rate and catchability of largemouth bass in small impoundments","docAbstract":"Largemouth bass Micropterus salmoides (Lacepède) catch rates decline with sustained fishing effort, even without harvest. It is unclear why declines in catch rate occur, and little research has been directed at how to improve catch rate. Learning has been proposed as a reason for declining catch rate, but has never been tested on largemouth bass. If catch rate declines because fish learn to avoid lures, periods of no fishing could be a management tool for increasing catch rate. In this study, six small impoundments with established fish populations were fished for two May to October fishing seasons to evaluate the effect of fishing effort on catch rate. Closed seasons were implemented to test whether a 2‐month period of no fishing improved catch rates and to determine whether conditioning from factors other than being captured reduced catch rate. Mixed‐model analysis indicated catch rate and catchability declined throughout the fishing season. Catch rate and catchability increased after a 2‐month closure but soon declined to the lowest levels of the fishing season. These changes in catch rate and catchability support the conclusion of learned angler avoidance, but sustained catchability of fish not previously caught does not support that associative or social learning affected catchability.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12268","usgsCitation":"Wegener, M.G., Schramm, H., Neal, J.W., and Gerard, P., 2018, Effect of fishing effort on catch rate and catchability of largemouth bass in small impoundments: Fisheries Management and Ecology, v. 25, no. 1, p. 66-76, https://doi.org/10.1111/fme.12268.","productDescription":"11 p.","startPage":"66","endPage":"76","ipdsId":"IP-057761","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":352871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-13","publicationStatus":"PW","scienceBaseUri":"5afee744e4b0da30c1bfc20d","contributors":{"authors":[{"text":"Wegener, M. G.","contributorId":203617,"corporation":false,"usgs":false,"family":"Wegener","given":"M.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":731936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schramm, Harold hschramm@usgs.gov","contributorId":149157,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","email":"hschramm@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, J. W.","contributorId":203618,"corporation":false,"usgs":false,"family":"Neal","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":731937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerard, P.D.","contributorId":16368,"corporation":false,"usgs":true,"family":"Gerard","given":"P.D.","email":"","affiliations":[],"preferred":false,"id":731938,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197414,"text":"70197414 - 2018 - Assessing the influence of multiple stressors on stream diatom metrics in the upper Midwest, USA","interactions":[],"lastModifiedDate":"2018-06-01T13:10:02","indexId":"70197414","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the influence of multiple stressors on stream diatom metrics in the upper Midwest, USA","docAbstract":"Water resource managers face increasing challenges in identifying what physical and chemical stressors are responsible for the alteration of biological conditions in streams. The objective of this study was to assess the comparative influence of multiple stressors on benthic diatoms at 98 sites that spanned a range of stressors in an agriculturally dominated region in the upper Midwest, USA. The primary stressors of interest included: nutrients, herbicides and fungicides, sediment, and streamflow; although the influence of physical habitat was incorporated in the assessment. Boosted Regression Tree was used to examine both the sensitivity of various diatom metrics and the relative importance of the primary stressors. Percent Sensitive Taxa, percent Highly Motile Taxa, and percent High Phosphorus Taxa had the strongest response to stressors. Habitat and total phosphorous were the most common discriminators of diatom metrics, with herbicides as secondary factors. A Classification and Regression Tree (CART) model was used to examine conditional relations among stressors and indicated that fine-grain streams had a lower percentage of Sensitive Taxa than coarse-grain streams, with Sensitive Taxa decreasing further with increased water temperature (>30 °C) and triazine concentrations (>1500 ng/L). In contrast, streams dominated by coarse-grain substrate contained a higher percentage of Sensitive Taxa, with relative abundance increasing with lower water temperatures (<29 °C) and shallower water depth (<0.3 m). Quantile regression indicated that maximum water temperature appears to be a major limiting factor in Midwest streams; whereas both total phosphorus and percent fines showed a slight subsidy-stress response. While using benthic algae for assessing stream quality can be challenging, field-based studies can elucidate stressor effects and interactions when the response variables are appropriate, sufficient stressor resolution is achieved, and the number and type of sites represent a gradient of stressor conditions and at least a quasi-factorial design.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2017.09.005","usgsCitation":"Munn, M., Waite, I.R., and Konrad, C.P., 2018, Assessing the influence of multiple stressors on stream diatom metrics in the upper Midwest, USA: Ecological Indicators, v. 85, p. 1239-1248, https://doi.org/10.1016/j.ecolind.2017.09.005.","productDescription":"10 p.","startPage":"1239","endPage":"1248","ipdsId":"IP-081927","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":469080,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2017.09.005","text":"Publisher Index Page"},{"id":438041,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7513X35","text":"USGS data release","linkHelpText":"Data on Midwest stream diatom and stressors, 2013"},{"id":354670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100,\n 36.5\n ],\n [\n -81,\n 36.5\n ],\n [\n -81,\n 45\n ],\n [\n -100,\n 45\n ],\n [\n -100,\n 36.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155dade4b092d9651e1b7b","contributors":{"authors":[{"text":"Munn, Mark D. 0000-0002-7154-7252","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":205360,"corporation":false,"usgs":true,"family":"Munn","given":"Mark D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}