Designing climate-related research so that study results will be useful to natural resource managers is a unique challenge. While decision makers increasingly recognize the need to consider climate change in their resource management plans, and climate scientists recognize the importance of providing locally-relevant climate data and projections, there often remains a gap between management needs and the information that is available or is being collected. We used decision analysis concepts to bring decision-maker and stakeholder perspectives into the applied research planning process. In 2009 we initiated a series of studies on the impacts of climate change in the Yakima River Basin (YRB) with a four-day stakeholder workshop, bringing together managers, stakeholders, and scientists to develop an integrated conceptual model of climate change and climate change impacts in the YRB. The conceptual model development highlighted areas of uncertainty that limit the understanding of the potential impacts of climate change and decision alternatives by those who will be most directly affected by those changes, and pointed to areas where additional study and engagement of stakeholders would be beneficial. The workshop and resulting conceptual model highlighted the importance of numerous different outcomes to stakeholders in the basin, including social and economic outcomes that go beyond the physical and biological outcomes typically reported in climate impacts studies. Subsequent studies addressed several of those areas of uncertainty, including changes in water temperatures, habitat quality, and bioenergetics of salmonid populations.
","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10584-013-0806-4","usgsCitation":"Jenni, K., Graves, D., Hardiman, J.M., Hatten, J.R., Mastin, M.C., Mesa, M.G., Montag, J., Nieman, T., Voss, F.D., and Maule, A.G., 2014, Identifying stakeholder-relevant climate change impacts: a case study in the Yakima River Basin, Washington, USA: Climatic Change, v. 124, no. 1-2, p. 371-384, https://doi.org/10.1007/s10584-013-0806-4.","productDescription":"14 p.","startPage":"371","endPage":"384","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037460","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473015,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10.1007/s10584-013-0806-4","text":"External Repository"},{"id":296924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296907,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10584-013-0806-4"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River Basin","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2013-06-20","publicationStatus":"PW","scienceBaseUri":"54dd2bcee4b08de9379b34e6","contributors":{"authors":[{"text":"Jenni, K.","contributorId":131113,"corporation":false,"usgs":false,"family":"Jenni","given":"K.","email":"","affiliations":[{"id":7250,"text":"Insight Decisions LCC, 2200 Quitman Street, Denver, CO 80212","active":true,"usgs":false}],"preferred":false,"id":537318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, D.","contributorId":15393,"corporation":false,"usgs":true,"family":"Graves","given":"D.","email":"","affiliations":[],"preferred":false,"id":537316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537313,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537314,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Montag, J.","contributorId":10124,"corporation":false,"usgs":true,"family":"Montag","given":"J.","affiliations":[],"preferred":false,"id":537315,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nieman, Timothy","contributorId":91965,"corporation":false,"usgs":true,"family":"Nieman","given":"Timothy","affiliations":[],"preferred":false,"id":537317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Voss, Frank D. fdvoss@usgs.gov","contributorId":1651,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","email":"fdvoss@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537309,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maule, Alec G. amaule@usgs.gov","contributorId":2606,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","email":"amaule@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537308,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70122360,"text":"70122360 - 2014 - Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013","interactions":[],"lastModifiedDate":"2016-04-26T16:06:44","indexId":"70122360","displayToPublicDate":"2014-05-01T10:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"1998-019-00","title":"Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013","docAbstract":"The Wind River subbasin in southwest Washington State provides habitat for a population of wild Lower Columbia River steelhead Oncorhynchus mykiss. There have been no hatchery steelhead 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 Wilflife). We used Passive Integrated Transponder (PIT)-tagging and a series of instream PIT-tag interrogation systems (PTIS) to investigate life-histories, populations, and efficacy of habitat restoration actions for these steelhead. 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 sub-strategies 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.
\nDuring summer 2013, we PIT-tagged parr steelhead in headwater areas of the Wind River subbasin to investigate variable life-histories, specifically to compare fate of those juvenile steelhead that move downstream prior to smolting with those that remain in their natal areas until smolting. A series of instream PTISs monitored movement of these fish. 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. Long-term monitoring of PIT-tagged fish over multiple years will provide information on contribution of various life-history strategies to smolt production and adult returns, as well as helping to identify factors influencing parr movement.
\nMovements of PIT-tagged adult steelhead were 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 has provided data that will contribute to evaluating the efficacy of the removal of Hemlock Dam from 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.
\nEvaluating 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","collaboration":"This report was funded by the Bonneville Power Administration (BPA), U.S. Department of Energy, as part of BPA's program to protect, mitigate, and enhance fish and wildlife affected by the development and operation of hydroelectric facilities on the Columbia River and its tributaries.","usgsCitation":"Jezorek, I.G., and Connolly, P., 2014, Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013, 45 p.","productDescription":"45 p.","numberOfPages":"45","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-11-01","temporalEnd":"2013-12-31","ipdsId":"IP-055076","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":294309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320575,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/documentviewer.aspx?doc=P138064","text":"Report","size":"715.13 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.963568,45.751448 ], [ -121.963568,45.969903 ], [ -121.787086,45.969903 ], [ -121.787086,45.751448 ], [ -121.963568,45.751448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb3ce4b08312ac7cf131","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":499498,"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":499497,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70095477,"text":"70095477 - 2014 - Hydrogeomorphic effects of explosive volcanic eruptions on drainage basins","interactions":[],"lastModifiedDate":"2019-03-13T09:27:32","indexId":"70095477","displayToPublicDate":"2014-05-01T10:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeomorphic effects of explosive volcanic eruptions on drainage basins","docAbstract":"Explosive eruptions can severely disturb landscapes downwind or downstream of volcanoes by damaging vegetation and depositing large volumes of erodible fragmental material. As a result, fluxes of water and sediment in affected drainage basins can increase dramatically. System-disturbing processes associated with explosive eruptions include tephra fall, pyroclastic density currents, debris avalanches, and lahars—processes that have greater impacts on water and sediment discharges than lava-flow emplacement. Geo-morphic responses to such disturbances can extend far downstream, persist for decades, and be hazardous. The severity of disturbances to a drainage basin is a function of the specific volcanic process acting, as well as distance from the volcano and magnitude of the eruption. Postdisturbance unit-area sediment yields are among the world's highest; such yields commonly result in abundant redeposition of sand and gravel in distal river reaches, which causes severe channel aggradation and instability. Response to volcanic disturbance can result in socioeconomic consequences more damaging than the direct impacts of the eruption itself.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-060313-054913","usgsCitation":"Pierson, T.C., and Major, J.J., 2014, Hydrogeomorphic effects of explosive volcanic eruptions on drainage basins: Annual Review of Earth and Planetary Sciences, v. 42, p. 469-507, https://doi.org/10.1146/annurev-earth-060313-054913.","productDescription":"39 p.","startPage":"469","endPage":"507","numberOfPages":"39","ipdsId":"IP-052236","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":288138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7740e4b0abf75cf2c0ca","contributors":{"authors":[{"text":"Pierson, Thomas C. 0000-0001-9002-4273 tpierson@usgs.gov","orcid":"https://orcid.org/0000-0001-9002-4273","contributorId":2498,"corporation":false,"usgs":true,"family":"Pierson","given":"Thomas","email":"tpierson@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":491211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":491210,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70129247,"text":"70129247 - 2014 - Assessment of parametric uncertainty for groundwater reactive transport modeling,","interactions":[],"lastModifiedDate":"2014-10-21T10:02:56","indexId":"70129247","displayToPublicDate":"2014-05-01T10:01:36","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of parametric uncertainty for groundwater reactive transport modeling,","docAbstract":"The validity of using Gaussian assumptions for model residuals in uncertainty quantification of a groundwater reactive transport model was evaluated in this study. Least squares regression methods explicitly assume Gaussian residuals, and the assumption leads to Gaussian likelihood functions, model parameters, and model predictions. While the Bayesian methods do not explicitly require the Gaussian assumption, Gaussian residuals are widely used. This paper shows that the residuals of the reactive transport model are non-Gaussian, heteroscedastic, and correlated in time; characterizing them requires using a generalized likelihood function such as the formal generalized likelihood function developed by Schoups and Vrugt (2010). For the surface complexation model considered in this study for simulating uranium reactive transport in groundwater, parametric uncertainty is quantified using the least squares regression methods and Bayesian methods with both Gaussian and formal generalized likelihood functions. While the least squares methods and Bayesian methods with Gaussian likelihood function produce similar Gaussian parameter distributions, the parameter distributions of Bayesian uncertainty quantification using the formal generalized likelihood function are non-Gaussian. In addition, predictive performance of formal generalized likelihood function is superior to that of least squares regression and Bayesian methods with Gaussian likelihood function. The Bayesian uncertainty quantification is conducted using the differential evolution adaptive metropolis (DREAM(zs)) algorithm; as a Markov chain Monte Carlo (MCMC) method, it is a robust tool for quantifying uncertainty in groundwater reactive transport models. For the surface complexation model, the regression-based local sensitivity analysis and Morris- and DREAM(ZS)-based global sensitivity analysis yield almost identical ranking of parameter importance. The uncertainty analysis may help select appropriate likelihood functions, improve model calibration, and reduce predictive uncertainty in other groundwater reactive transport and environmental modeling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2013WR013755","usgsCitation":"Shi, X., Ye, M., Curtis, G.P., Miller, G.L., Meyer, P.D., Kohler, M., Yabusaki, S., and Wu, J., 2014, Assessment of parametric uncertainty for groundwater reactive transport modeling,: Water Resources Research, v. 50, no. 5, p. 4416-4439, https://doi.org/10.1002/2013WR013755.","productDescription":"24 p.","startPage":"4416","endPage":"4439","numberOfPages":"24","ipdsId":"IP-055224","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473018,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr013755","text":"Publisher Index Page"},{"id":295521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295489,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013WR013755"},{"id":295490,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/2013WR013755/full"}],"volume":"50","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-05-28","publicationStatus":"PW","scienceBaseUri":"544775a5e4b0f888a81b82f8","contributors":{"authors":[{"text":"Shi, Xiaoqing","contributorId":30931,"corporation":false,"usgs":true,"family":"Shi","given":"Xiaoqing","email":"","affiliations":[],"preferred":false,"id":503569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ye, Ming","contributorId":78670,"corporation":false,"usgs":true,"family":"Ye","given":"Ming","affiliations":[],"preferred":false,"id":503573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Geoffery L.","contributorId":80601,"corporation":false,"usgs":true,"family":"Miller","given":"Geoffery","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":503574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Philip D.","contributorId":38493,"corporation":false,"usgs":true,"family":"Meyer","given":"Philip","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":503571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kohler, Matthias mkohler@usgs.gov","contributorId":2624,"corporation":false,"usgs":true,"family":"Kohler","given":"Matthias","email":"mkohler@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yabusaki, Steve","contributorId":65403,"corporation":false,"usgs":true,"family":"Yabusaki","given":"Steve","affiliations":[],"preferred":false,"id":503572,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wu, Jichun","contributorId":36878,"corporation":false,"usgs":true,"family":"Wu","given":"Jichun","email":"","affiliations":[],"preferred":false,"id":503570,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70103365,"text":"70103365 - 2014 - Woody vegetation communities of tidal freshwater swamps in South Carolina, Georgia and Florida (US) with comparisons to similar systems in the US and South America","interactions":[],"lastModifiedDate":"2014-05-02T10:12:52","indexId":"70103365","displayToPublicDate":"2014-05-01T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Woody vegetation communities of tidal freshwater swamps in South Carolina, Georgia and Florida (US) with comparisons to similar systems in the US and South America","docAbstract":"Questions
\nWhat are the general tree communities found in tidal freshwater swamps along four large coastal rivers in the southeastern United States (US)? How do these communities compare to other tidal freshwater swamps in the US and South America?
\n\nLocations
\nTidal floodplains of major rivers along the Atlantic and Gulf coasts of the southeastern US: Savannah, Altamaha, Suwannee and Apalachicola Rivers.
\n\nMethods
\nAn extensive survey of trees and shrubs was conducted to describe the communities from a range of tidal freshwater swamps. River basins studied include micro-tidal (Gulf coast) and meso-tidal (Atlantic coast) regimes, and study areas were located both near and distant to primary channels. A total of 128 plots (100 m2 each) were inventoried, distributed evenly over the Savannah and Altamaha Rivers along the Atlantic coast, and the Suwannee and Apalachicola Rivers along the Gulf coast. Multivariate statistics helped discern communities and the significant indicator species in each.
\n\nResults
\nFour general communities were characterized and named according to the strongest individual indicator species in each: Water Tupelo (Nyssa aquatica) Community, Swamp Tupelo (Nyssa biflora) Community, Dwarf Palmetto (Sabal minor) Community and Cabbage Palm (Sabal palmetto) Community.
\n\nConclusions
\nDescriptions of most tidal freshwater swamps in the southeastern US fit within the communities described in this study. Because studies that make inferences between environmental drivers (e.g. salinity, hydroperiod, hurricanes) and specific community types are best applied to the same communities (but perhaps different river systems), this work provides a framework by which tidal freshwater forested wetlands can be accurately compared based on their tree communities. We suggest that, within the broad range of our inventories, the four communities described identify the primary associations that should be tracked within most tidal freshwater swamps of the US. However, we identify some river basins in the US that do not fit this construct. Diversity of major tree communities in tidal freshwater swamps outside the US is generally much lower (with the notable exception of Amazonian hardwood tidal várzea), as are basal area values.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Vegetation Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Online Library","doi":"10.1111/jvs.12115","usgsCitation":"Duberstein, J., Conner, W.H., and Krauss, K.W., 2014, Woody vegetation communities of tidal freshwater swamps in South Carolina, Georgia and Florida (US) with comparisons to similar systems in the US and South America: Journal of Vegetation Science, v. 25, no. 3, p. 848-862, https://doi.org/10.1111/jvs.12115.","productDescription":"15 p.","startPage":"848","endPage":"862","ipdsId":"IP-036640","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":286844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286827,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jvs.12115"}],"country":"United States","state":"Georgia;Florida;South Carolina","volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-09-13","publicationStatus":"PW","scienceBaseUri":"53659192e4b05b5c4c6db1bc","contributors":{"authors":[{"text":"Duberstein, Jamie A.","contributorId":91007,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":493267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":493266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","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":493265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170483,"text":"70170483 - 2014 - Cycles of explosive and effusive eruptions at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2019-03-14T07:55:48","indexId":"70170483","displayToPublicDate":"2014-05-01T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Cycles of explosive and effusive eruptions at Kīlauea Volcano, Hawai‘i","docAbstract":"The subaerial eruptive activity at Kīlauea Volcano (Hawai‘i) for the past 2500 yr can be divided into 3 dominantly effusive and 2 dominantly explosive periods, each lasting several centuries. The prevailing style of eruption for 60% of this time was explosive, manifested by repeated phreatic and phreatomagmatic activity in a deep summit caldera. During dominantly explosive periods, the magma supply rate to the shallow storage volume beneath the summit dropped to only a few percent of that during mainly effusive periods. The frequency and duration of explosive activity are contrary to the popular impression that Kīlauea is almost unceasingly effusive. Explosive activity apparently correlates with the presence of a caldera intersecting the water table. The decrease in magma supply rate may result in caldera collapse, because erupted or intruded magma is not replaced. Glasses with unusually high MgO, TiO2, and K2O compositions occur only in explosive tephra (and one related lava flow) and are consistent with disruption of the shallow reservoir complex during caldera formation. Kīlauea is a complex, modulated system in which melting rate, supply rate, conduit stability (in both mantle and crust), reservoir geometry, water table, and many other factors interact with one another. The hazards associated with explosive activity at Kīlauea’s summit would have major impact on local society if a future dominantly explosive period were to last several centuries. The association of lowered magma supply, caldera formation, and explosive activity might characterize other basaltic volcanoes, but has not been recognized.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G35701.1","usgsCitation":"Swanson, D., Rose, T.R., Mucek, A., Garcia, M.O., Fiske, R.S., and Mastin, L.G., 2014, Cycles of explosive and effusive eruptions at Kīlauea Volcano, Hawai‘i: Geology, v. 42, no. 7, p. 631-634, https://doi.org/10.1130/G35701.1.","productDescription":"4 p.","startPage":"631","endPage":"634","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055751","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":320395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.2836799621582,\n 19.43065788069488\n ],\n [\n -155.29329299926758,\n 19.425801277078957\n ],\n [\n -155.29672622680664,\n 19.42078263415394\n ],\n [\n -155.29998779296875,\n 19.415116238124682\n ],\n [\n -155.30101776123047,\n 19.408478208711944\n ],\n [\n -155.29998779296875,\n 19.39892544698541\n ],\n [\n -155.2965545654297,\n 19.392448679313798\n ],\n [\n -155.29020309448242,\n 19.388724421195075\n ],\n [\n -155.27990341186523,\n 19.387429007095374\n ],\n [\n -155.26857376098633,\n 19.387914788590646\n ],\n [\n -155.25432586669922,\n 19.393258289368795\n ],\n [\n -155.24351119995117,\n 19.3997350248192\n ],\n [\n -155.23321151733398,\n 19.41106869145732\n ],\n [\n -155.2371597290039,\n 19.41851609944751\n ],\n [\n -155.24471282958984,\n 19.425477498342186\n ],\n [\n -155.25157928466797,\n 19.431467300513766\n ],\n [\n -155.26067733764648,\n 19.434057416826118\n ],\n [\n -155.269775390625,\n 19.43519057972264\n ],\n [\n -155.28196334838867,\n 19.433733654546185\n ],\n [\n -155.2836799621582,\n 19.43065788069488\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571b4b2ce4b071321fe31c56","contributors":{"authors":[{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Timothy R.","contributorId":31275,"corporation":false,"usgs":true,"family":"Rose","given":"Timothy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":627395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mucek, Adonara E","contributorId":168821,"corporation":false,"usgs":false,"family":"Mucek","given":"Adonara E","affiliations":[{"id":25364,"text":"Univ. Hawai`i","active":true,"usgs":false}],"preferred":false,"id":627396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Michael O.","contributorId":51636,"corporation":false,"usgs":true,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":627397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fiske, Richard S.","contributorId":17984,"corporation":false,"usgs":true,"family":"Fiske","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":627398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627399,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70104144,"text":"70104144 - 2014 - Historic impact of watershed change and sedimentation to reefs along west-central Guam","interactions":[],"lastModifiedDate":"2014-08-12T13:27:00","indexId":"70104144","displayToPublicDate":"2014-05-01T09:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Historic impact of watershed change and sedimentation to reefs along west-central Guam","docAbstract":"Using coral growth parameters (extension, density, calcification rates, and luminescence) and geochemical measurements (barium to calcium rations; Ba/Ca) from coral cores collected in west-central Guam, we provide a historic perspective on sediment input to coral reefs adjacent to the Piti-Asan watershed. The months of August through December are dominated by increased coral Ba/Ca values, corresponding to the rainy season. With river water enriched in barium related to nearshore seawater, coral Ba/Ca ratios are presented as a proxy for input of fine-grained terrigenous sediment to the nearshore environment. The century-long Ba/Ca coral record indicates that the Asan fore reef is within the zone of impact from discharged sediments transported from the Piti-Asan watershed and has experienced increased terrestrial sedimentation since the 1940s. This abrupt shift in sedimentation occurred at the same time as both the sudden denudation of the landscape by military ordinance and the immediate subsequent development of the Asan area through the end of the war, from 1944 through 1945. In response to rapid input of sediment, as determined from coral Ba/Ca values, coral growth rates were reduced for almost two decades, while calcification rates recovered much more quickly. Furthermore, coral luminescence is decoupled from the Ba/Ca record, which is consistent with degradation of soil organic matter through disturbance by forest fires, suggesting a potential index of fire history and degradation of soil organic matter. These patterns were not seen in the cores from nearby reefs associated with watersheds that have not undergone the same degree of landscape denudation. Taken together, these records provide a valuable tool for understanding the compounding effects of land-use change on coral reef health.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Coral Reefs","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00338-014-1166-x","usgsCitation":"Prouty, N.G., Storlazzi, C., McCutcheon, A.L., and Jenson, J.W., 2014, Historic impact of watershed change and sedimentation to reefs along west-central Guam: Coral Reefs, v. 33, no. 3, p. 733-749, https://doi.org/10.1007/s00338-014-1166-x.","productDescription":"17 p.","startPage":"733","endPage":"749","numberOfPages":"17","ipdsId":"IP-052605","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":288133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288132,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00338-014-1166-x"}],"country":"Guam","otherGeospatial":"Agat Bay;Apra Harbor;Asan Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.75,13.333333 ], [ 144.75,13.5 ], [ 144.5,13.5 ], [ 144.5,13.333333 ], [ 144.75,13.333333 ] ] ] } } ] }","volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-05-18","publicationStatus":"PW","scienceBaseUri":"53ae7739e4b0abf75cf2c0b2","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":493548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCutcheon, Amanda L.","contributorId":69892,"corporation":false,"usgs":true,"family":"McCutcheon","given":"Amanda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":493547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenson, John W.","contributorId":23112,"corporation":false,"usgs":true,"family":"Jenson","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":493546,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70129722,"text":"70129722 - 2014 - Impact of stressors on transmission potential of Renibacterium salmoninarum in Chinook salmon","interactions":[],"lastModifiedDate":"2017-09-11T09:12:22","indexId":"70129722","displayToPublicDate":"2014-05-01T06:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"title":"Impact of stressors on transmission potential of Renibacterium salmoninarum in Chinook salmon","docAbstract":"Renibacterium salmoninarum is the causative agent of bacterial kidney disease (BKD) affecting several species of Pacific salmon. The severity of BKD can range from a chronic infection to overt disease with high mortality as in the case of large losses of adult Chinook salmon (Oncorhynchus tshawytscha) in the Great Lakes during late 1980s. The goal of this study was to empirically evaluate how environmental stressors relevant to the Great Lakes impact R. salmoninarum disease progression and bacterial shedding, the latter parameter being a proxy of horizontal transmission. In the first study (Aim 1), we focused on how endogenous host thiamine levels and dietary fatty acids impacted resistance of Chinook salmon to R. salmoninarum. Juvenile fish were fed one of four experimental diets, including a (1) thiamine replete diet formulated with fish oil, (2) thiamine deplete diet formulated with fish oil, (3) thiamine replete diet formulated with soybean oil, and (4) thiamine deplete diet formulated with soybean oil, before being challenged with buffer or R. salmoninarum. We observed significantly higher mortality in the R. salmoninarum infected groups relative to the corresponding mock controls in only the thiamine replete diet groups. We also observed a significant effect of time and diet on kidney bacterial load and bacterial shedding, with a significant trend towards higher shedding and bacterial load in the fish oil – thiamine replete diet group. However, during the course of the study, unexpected mortality occurred in all groups attributed to the myxozoan parasite Ceratomyxa shasta. Since the fish were dually-infected with C. shasta, we evaluated parasite DNA levels (parasitic load) in the kidney of sampled fish. We found that parasite load varied across time points but there was no significant effect of diet. However, parasite load did differ significantly between the mock and R. salmoninarum challenge groups with a trend towards longer persistence of C. shasta DNA in fish dually-infected with R. salmoninarum. Overall, results in Aim 1 indicated: 1) that the experimental diets impacted bacterial but not parasitic infection patterns, 2) that low thiamine levels may reduce the severity of R. salmoninarum infection, and 3) that fish infected with R. salmoninarum may be less able to clear a secondary infection with a parasite. The second study (Aim 2) focused on the role that temperature plays in the progression of BKD from the asymptomatic infected state to a diseased state. Lake Michigan Chinook salmon were infected with R. salmoninarum at a common intermediate water temperature and, at 2 weeks post-infection, were split into three temperature groups (cool, intermediate and warm). Fish held at the cool temperature (8°C) had significantly greater mortality following challenge, significantly higher levels of bacteria in the kidney, and shed significantly greater amounts of bacteria into the water relative to fish held at the intermediate (12°C) and warm (15°C) temperatures. Thus, our results support the hypothesis that, for BKD, warm temperature stress does not contribute to greater disease progression and increased bacterial shedding. Our laboratory results are consistent with field epidemiological observations that BKD mortality in the Great Lakes is commonly associated with declining water temperatures in the fall or when water temperatures begin to increase but are still cool after over-wintering.
","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Purcell, M., and Winton, J.R., 2014, Impact of stressors on transmission potential of Renibacterium salmoninarum in Chinook salmon, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057082","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295755,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/pubs/pdfs/research/reports/Purcell_2014.htm"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57248643e4b0b13d39159590","contributors":{"authors":[{"text":"Purcell, Maureen K. mpurcell@usgs.gov","contributorId":3061,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","email":"mpurcell@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":519915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winton, James R. 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":1944,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":519914,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70132328,"text":"70132328 - 2014 - The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues","interactions":[],"lastModifiedDate":"2020-12-31T17:16:32.769474","indexId":"70132328","displayToPublicDate":"2014-05-01T01:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues","title":"The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues","docAbstract":"Using semi‐natural enclosures, this study investigated (1) whether adult sea lamprey Petromyzon marinus show avoidance of damage‐released conspecific cues, damage‐released heterospecific cues and predator cues and (2) whether this is a general response to injured heterospecific fishes or a specific response to injured P. marinus. Ten replicate groups of 10 adult P. marinus, separated by sex, were exposed to one of the following nine stimuli: deionized water (control), extracts prepared from adult P. marinus, decayed adult P. marinus (conspecific stimuli), sympatric white sucker Catostomus commersonii, Amazon sailfin catfish Pterygoplichthys pardalis (heterospecific stimuli), 2‐phenylethylamine (PEA HCl) solution, northern water snake Nerodia sipedon washing, human saliva (predator cues) and an adult P. marinus extract and human saliva combination (a damage‐released conspecific cue and a predator cue). Adult P. marinus showed a significant avoidance response to the adult P. marinus extract as well as to C. commersonii, human saliva, PEA and the adult P. marinus extract and human saliva combination. For mobile P. marinus, the N. sipedon washing induced behaviour consistent with predator inspection. Exposure to the P. pardalis extract did not induce a significant avoidance response during the stimulus release period. Mobile adult female P. marinus showed a stronger avoidance behaviour than mobile adult male P. marinus in response to the adult P. marinus extract and the adult P. marinus extract and human saliva combination. The findings support the continued investigation of natural damage‐released alarm cue and predator‐based repellents for the behavioural manipulation of P. marinus populations in the Laurentian Great Lakes.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.12374","usgsCitation":"Imre, I., Di Rocco, R., Belanger, C., Brown, G., and Johnson, N.S., 2014, The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues: Journal of Fish Biology, v. 84, no. 5, p. 1490-1502, https://doi.org/10.1111/jfb.12374.","productDescription":"13 p.","startPage":"1490","endPage":"1502","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053453","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.12374","text":"Publisher Index Page"},{"id":295944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-04-28","publicationStatus":"PW","scienceBaseUri":"545ded2de4b0ba8303f92ba2","contributors":{"authors":[{"text":"Imre, István","contributorId":126737,"corporation":false,"usgs":false,"family":"Imre","given":"István","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":522768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Rocco, Richard","contributorId":126735,"corporation":false,"usgs":false,"family":"Di Rocco","given":"Richard","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":522769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belanger, Cowan","contributorId":126736,"corporation":false,"usgs":false,"family":"Belanger","given":"Cowan","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":522770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Grant","contributorId":126738,"corporation":false,"usgs":false,"family":"Brown","given":"Grant","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":522771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":522767,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70144457,"text":"70144457 - 2014 - Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed","interactions":[],"lastModifiedDate":"2016-11-30T14:40:23","indexId":"70144457","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed","docAbstract":"Many previous investigations of mean streamwater transit times (MTT) have been limited by an inability to quantify the MTT dynamics. Here, we draw on (1) a linear relation (r 2 = 0.97) between groundwater 3H/3He ages and dissolved silica (Si) concentrations, combined with (2) predicted streamwater Si concentrations from a multiple-regression relation (R 2 = 0.87) to estimate MTT at 5-min intervals for a 23-year time series of streamflow [water year (WY) 1986 through 2008] at the Panola Mountain Research Watershed, Georgia. The time-based average MTT derived from the 5-min data was ~8.4 ± 2.9 years and the volume-weighted (VW) MTT was ~4.7 years for the study period, reflecting the importance of younger runoff water during high flow. The 5-min MTTs are normally distributed and ranged from 0 to 15 years. Monthly VW MTTs averaged 7.0 ± 3.3 years and ranged from 4 to 6 years during winter and 8–10 years during summer. The annual VW MTTs averaged 5.6 ± 2.0 years and ranged from ~5 years during wet years (2003 and 2005) to >10 years during dry years (2002 and 2008). Stormflows are composed of much younger water than baseflows, and although stormflow only occurs ~17 % of the time, this runoff fraction contributed 39 % of the runoff during the 23-year study period. Combining the 23-year VW MTT (including stormflow) with the annual average baseflow for the period (~212 mm) indicates that active groundwater storage is ~1,000 mm. However, the groundwater storage ranged from 1,040 to 1,950 mm using WY baseflow and WY VW MTT. The approach described herein may be applicable to other watersheds underlain by granitoid bedrock, where weathering is the dominant control on Si concentrations in soils, groundwater, and streamwater.
","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9207-6","usgsCitation":"Peters, N.E., Burns, D.A., and Aulenbach, B.T., 2014, Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed: Aquatic Geochemistry, v. 20, no. 2-3, p. 183-202, https://doi.org/10.1007/s10498-013-9207-6.","productDescription":"20 p.","startPage":"183","endPage":"202","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049194","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":299226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Panola Mountain Research Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.19424057006836,\n 33.60804305794581\n ],\n [\n -84.19424057006836,\n 33.65149408962454\n ],\n [\n -84.12694931030273,\n 33.65149408962454\n ],\n [\n -84.12694931030273,\n 33.60804305794581\n ],\n [\n -84.19424057006836,\n 33.60804305794581\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2-3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-16","publicationStatus":"PW","scienceBaseUri":"551bc52be4b0323842783a47","contributors":{"authors":[{"text":"Peters, Norman E. nepeters@usgs.gov","contributorId":1324,"corporation":false,"usgs":true,"family":"Peters","given":"Norman","email":"nepeters@usgs.gov","middleInitial":"E.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543631,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70135985,"text":"70135985 - 2014 - Bouse Formation in the Bristol basin near Amboy, California, USA","interactions":[],"lastModifiedDate":"2014-12-19T14:41:01","indexId":"70135985","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Bouse Formation in the Bristol basin near Amboy, California, USA","docAbstract":"Limestone beds underlain and overlain by alluvial fan conglomerate near Amboy, California, are very similar in many respects to parts of the Bouse Formation, suggesting that an arm of the Pliocene Bouse water body extended across a wide part of the southern Mojave Desert. The deposits are north of the town of Amboy at and below an elevation of 290 m, along the northern piedmont of the Bristol “dry” Lake basin. The Amboy outcrops contain the Lawlor Tuff (4.83 Ma), which is also found in an outcrop of the Bouse Formation in the Blythe basin near Buzzards Peak in the Chocolate Mountains, 180 km southeast of Amboy. Bouse exposures near Amboy are ∼3.4 m thick, white, distinctly bedded, with limestone and calcareous sandstone as well as stromatolite mounds; we interpret these as nearshore deposits. The Bouse at Amboy contains ostracodes, diatoms, and mollusks that indicate saline lake or estuarine environments with an admixture of fresh-water forms. Along with wading bird tracks and a spine from a marine fish, these fossils suggest that the deposits formed in saline waters near a fresh-water source such as a perennial stream. Beds of the outcrop dip southward and are 113 m above the surface of Bristol Playa, where similar age sediments are buried 270+ m deep, indicating significant faulting and vertical tectonics in this part of the Eastern California Shear Zone during the past 5 m.y. Confirmation of the Bouse Formation at Amboy strengthens previous assignments to the Bouse Formation for mudstones in driller logs at Danby “dry” Lake, California, and suggests that areally extensive arms of the Bouse water body were west of the Blythe basin. The Bristol basin arm of the lower Bouse basin probably was restricted from the main water body by narrow passages, but Bouse sediment there is similar to that in the Blythe basin, suggesting generally similar water chemistry and environmental conditions. Examining the degree to which Bouse deposits in the western arms differed from Bouse deposits in the Blythe basin offers an approach to test whether the southernmost Bouse water body was deposited in an estuarine or lacustrine setting.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00934.1","usgsCitation":"Miller, D., Reynolds, R.E., Bright, J.E., and Starratt, S.W., 2014, Bouse Formation in the Bristol basin near Amboy, California, USA: Geosphere, v. 10, no. 3, p. 462-475, https://doi.org/10.1130/GES00934.1.","productDescription":"14 p.","startPage":"462","endPage":"475","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044898","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473032,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00934.1","text":"Publisher Index Page"},{"id":296827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Amboy","otherGeospatial":"Bristol basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.79864501953124,\n 34.38537936672342\n ],\n [\n -115.79864501953124,\n 34.630382979232984\n ],\n [\n -115.44227600097658,\n 34.630382979232984\n ],\n [\n -115.44227600097658,\n 34.38537936672342\n ],\n [\n -115.79864501953124,\n 34.38537936672342\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-05-13","publicationStatus":"PW","scienceBaseUri":"54dd2b49e4b08de9379b32f5","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":537021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Robert E.","contributorId":131037,"corporation":false,"usgs":false,"family":"Reynolds","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":537024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bright, Jordan E.","contributorId":131036,"corporation":false,"usgs":false,"family":"Bright","given":"Jordan","email":"","middleInitial":"E.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":537023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537022,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70133273,"text":"70133273 - 2014 - Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed","interactions":[],"lastModifiedDate":"2020-12-21T17:29:18.638532","indexId":"70133273","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed","docAbstract":"Watershed mass-balance methods are valuable tools for demonstrating impacts to water quality from atmospheric deposition and chemical weathering. Owen Bricker, a pioneer of the mass-balance method, began applying mass-balance modeling to small watersheds in the late 1960s and dedicated his career to expanding the literature and knowledge of complex watershed processes. We evaluated long-term trends in surface-water chemistry in the Loch Vale watershed, a 660-ha. alpine/subalpine catchment located in Rocky Mountain National Park, CO, USA. Many changes in surface-water chemistry correlated with multiple drivers, including summer or monthly temperature, snow water equivalent, and the runoff-to-precipitation ratio. Atmospheric deposition was not a significant causal agent for surface-water chemistry trends. We observed statistically significant increases in both concentrations and fluxes of weathering products including cations, SiO2, SO4 2−, and ANC, and in inorganic N, with inorganic N being primarily of atmospheric origin. These changes are evident in the individual months June, July, and August, and also in the combined June, July, and August summer season. Increasingly warm summer temperatures are melting what was once permanent ice and this may release elements entrained in the ice, stimulate chemical weathering with enhanced moisture availability, and stimulate microbial nitrification. Weathering rates may also be enhanced by sustained water availability in high snowpack years. Rapid change in the flux of weathering products and inorganic N is the direct and indirect result of a changing climate from warming temperatures and thawing cryosphere.
","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9199-2","usgsCitation":"Baron, J., and Heath, J., 2014, Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed: Aquatic Geochemistry, v. 20, no. 2-3, p. 167-181, https://doi.org/10.1007/s10498-013-9199-2.","productDescription":"15 p.","startPage":"167","endPage":"181","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046111","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10498-013-9199-2","text":"Publisher Index Page"},{"id":296065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Loch Vale Watershed, Rock Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.1444091796875,\n 39.977120098439634\n ],\n [\n -106.1444091796875,\n 40.701463603604594\n ],\n [\n -105.3424072265625,\n 40.701463603604594\n ],\n [\n -105.3424072265625,\n 39.977120098439634\n ],\n [\n -106.1444091796875,\n 39.977120098439634\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2-3","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"5465d62fe4b04d4b7dbd6584","contributors":{"authors":[{"text":"Baron, Jill S. 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":822,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":524986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heath, Jared","contributorId":127392,"corporation":false,"usgs":false,"family":"Heath","given":"Jared","email":"","affiliations":[{"id":6935,"text":"Natural Resources Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":524987,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70148110,"text":"70148110 - 2014 - Interacting effects of discharge and channel morphology on transport of semibuoyant fish eggs in large, altered river systems","interactions":[],"lastModifiedDate":"2015-06-03T11:11:16","indexId":"70148110","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Interacting effects of discharge and channel morphology on transport of semibuoyant fish eggs in large, altered river systems","docAbstract":"Habitat fragmentation and flow regulation are significant factors related to the decline and extinction of freshwater biota. Pelagic-broadcast spawning cyprinids require moving water and some length of unfragmented stream to complete their life cycle. However, it is unknown how discharge and habitat features interact at multiple spatial scales to alter the transport of semi-buoyant fish eggs. Our objective was to assess the relationship between downstream drift of semi-buoyant egg surrogates (gellan beads) and discharge and habitat complexity. We quantified transport time of a known quantity of beads using 2–3 sampling devices at each of seven locations on the North Canadian and Canadian rivers. Transport time was assessed based on median capture time (time at which 50% of beads were captured) and sampling period (time period when 2.5% and 97.5% of beads were captured). Habitat complexity was assessed by calculating width:depth ratios at each site, and several habitat metrics determined using analyses of aerial photographs. Median time of egg capture was negatively correlated to site discharge. The temporal extent of the sampling period at each site was negatively correlated to both site discharge and habitat-patch dispersion. Our results highlight the role of discharge in driving transport times, but also indicate that higher dispersion of habitat patches relates to increased retention of beads within the river. These results could be used to target restoration activities or prioritize water use to create and maintain habitat complexity within large, fragmented river systems.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0096599","usgsCitation":"Worthington, T.A., Brewer, S.K., Farless, N., Grabowski, T.B., and Gregory, M.S., 2014, Interacting effects of discharge and channel morphology on transport of semibuoyant fish eggs in large, altered river systems: PLoS ONE, v. 9, no. 5, e96599: 9 p., https://doi.org/10.1371/journal.pone.0096599.","productDescription":"e96599: 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050833","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0096599","text":"Publisher Index Page"},{"id":301017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Canadian River, North Canadian River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.964599609375,\n 34.994003757575776\n ],\n [\n -99.964599609375,\n 36.712467243386264\n ],\n [\n -95.965576171875,\n 36.712467243386264\n ],\n [\n -95.965576171875,\n 34.994003757575776\n ],\n [\n -99.964599609375,\n 34.994003757575776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-06","publicationStatus":"PW","scienceBaseUri":"5570253ce4b0d9246a9fd1a7","contributors":{"authors":[{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":548149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":547433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farless, Nicole","contributorId":141040,"corporation":false,"usgs":false,"family":"Farless","given":"Nicole","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":548150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548151,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gregory, Mark S.","contributorId":141058,"corporation":false,"usgs":false,"family":"Gregory","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":548152,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70160092,"text":"70160092 - 2014 - Nearshore energy subsidies support Lake Michigan fishes and invertebrates following major changes in food web structure","interactions":[],"lastModifiedDate":"2015-12-11T15:34:47","indexId":"70160092","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3835,"text":"Ecology, Evolution, and Systematics","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore energy subsidies support Lake Michigan fishes and invertebrates following major changes in food web structure","docAbstract":"Aquatic food webs that incorporate multiple energy channels (e.g. nearshore benthic or pelagic) with varying productivity and turnover rates convey stability to biological communities by providing multiple independent energy sources. Within the Lake Michigan food web, invasive dreissenid mussels have caused rapid changes to food web structure and potentially altered the channels through which consumers acquire energy. We used stable C and N isotopes to determine how Lake Michigan food web structure has changed in the past decade, coincident with the expansion of dreissenid mussels, decreased pelagic phytoplankton production and increased nearshore benthic algal production. Fish and invertebrate samples collected from sites around Lake Michigan were analyzed to determine taxa-specific 13C:12C (delta 13C) and 15N:14N (delta 15N) ratios. Sampling took place during two distinct periods, 2002-2003 and 2010-2012, that spanned the period of dreissenid expansion, and included nearshore, pelagic and profundal fish and invertebrate taxa. Magnitude and direction of the 13C shift indicated significantly greater reliance upon nearshore benthic energy sources among nearly all fish taxa as well as profundal invertebrates. Although the mechanisms underlying this 13C shift likely varied among species, possible causes include the transport of benthic algal production to offshore waters and an increased reliance on nearshore prey items. Delta 15N shifts were more variable and of smaller magnitude across taxa although declines in delta 15N among some pelagic fishes may indicate a shift to alternative prey resources. Lake Michigan fishes and invertebrates appear to have responded to dreissenid induced changes in nutrient and energy pathways by switching from pelagic to alternative nearshore energy subsidies. Although large shifts in energy allocation (i.e. pelagic to nearshore benthic) resulting from invasive species appear to have affected total production at upper trophic levels, changes in trophic structure and utilization of novel energy pathways may help to stabilize food webs following species invasions.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0329.1","collaboration":"University of Wisconsin-Milwaukee; Illinois Natural History Survey, Purdue University","usgsCitation":"Turschak, B.A., Bunnell, D., Czesny, S.J., Hook, T.O., Janssen, J., Warner, D.M., and Bootsma, H.A., 2014, Nearshore energy subsidies support Lake Michigan fishes and invertebrates following major changes in food web structure: Ecology, Evolution, and Systematics, v. 95, no. 5, p. 1243-1252, https://doi.org/10.1890/13-0329.1.","productDescription":"10 p.","startPage":"1243","endPage":"1252","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049392","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":498868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-0329.1","text":"Publisher Index 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Potential foraging habitats of Whooping Cranes (Grus americana) using marshes include ponds and emergent marsh, but the potential prey and energy availability in these habitat types have rarely been studied. In this study, we estimated daily digestible energy density for Whooping Cranes in different marsh and microhabitat types (i.e., pond, flooded emergent marsh). Also, indicator metrics of foraging habitat suitability for Whooping Cranes were developed based on seasonal water depth, prey biomass, and digestible energy density. Seasonal water depth (cm), prey biomass (g wet weight m-2), and digestible energy density (kcal g-1m-2) ranged from 0.0 to 50.2 ± 2.8, 0.0 to 44.8 ± 22.3, and 0.0 to 31.0 ± 15.3, respectively. With the exception of freshwater emergent marsh in summer, all available habitats were capable of supporting one Whooping Crane per 0.1 ha per day. All habitat types in the marshes had relatively higher suitability in spring and summer than in fall and winter. Our study indicates that based on general energy availability, freshwater marshes in the region can support Whooping Cranes in a relatively small area, particularly in spring and summer. In actuality, the spatial density of ponds, the flood depth of the emergent marsh, and the habitat conditions (e.g., vegetation density) between adjacent suitable habitats will constrain suitable habitat and Whooping Crane numbers.
","language":"English","publisher":"Waterbird Society","doi":"10.1675/063.037.0304","usgsCitation":"Kang, S., and King, S.L., 2014, Suitability of coastal marshes as Whooping Crane (Grus americana) foraging habitat in southwest Louisiana, USA: Waterbirds, v. 37, no. 3, p. 254-263, https://doi.org/10.1675/063.037.0304.","productDescription":"10 p.","startPage":"254","endPage":"263","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042070","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Southwest Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.05313206156985,\n 29.534589496091698\n ],\n [\n -92.07833559620173,\n 30.179403281291954\n ],\n [\n -93.64095474339344,\n 30.22659786357704\n ],\n [\n -93.7585712383432,\n 29.709865498636688\n ],\n [\n -92.3114682915488,\n 29.50534721227139\n ],\n [\n -92.05313206156985,\n 29.534589496091698\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"37","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d305bae4b0518e35468d28","contributors":{"authors":[{"text":"Kang, Sung-Ryong","contributorId":140927,"corporation":false,"usgs":false,"family":"Kang","given":"Sung-Ryong","email":"","affiliations":[],"preferred":false,"id":568300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564413,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189561,"text":"70189561 - 2014 - An intercomparison of three methods for the large-scale isolation of oceanic dissolved organic matter","interactions":[],"lastModifiedDate":"2017-07-17T12:25:27","indexId":"70189561","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"An intercomparison of three methods for the large-scale isolation of oceanic dissolved organic matter","docAbstract":"Dissolved organic matter (DOM) was isolated from large volumes of deep (674 m) and surface (21 m) ocean water via reverse osmosis/electrodialysis (RO/ED) and two solid-phase extraction (SPE) methods (XAD-8/4 and PPL) at the Natural Energy Laboratory of Hawaii Authority (NELHA). By applying the three methods to common water samples, the efficiencies of XAD, PPL and RO/ED DOM isolation were compared. XAD recovered 42% of dissolved organic carbon (DOC) from deep water (25% with XAD-8; 17% with XAD-4) and 30% from surface water (16% with XAD-8; 14% with XAD-4). PPL recovered 61 ± 3% of DOC from deep water and 61% from surface water. RO/ED recovered 82 ± 3% of DOC from deep water, 14 ± 3% of which was recovered in a sodium hydroxide rinse, and 75 ± 5% of DOC from surface water, with 12 ± 2% in the sodium hydroxide rinse. The highest recoveries of all were achieved by the sequential isolation of DOC, first with PPL and then via RO/ED. This combined technique recovered 98% of DOC from a deep water sample and 101% of DOC from a surface water sample. In total, 1.9, 10.3 and 1.6 g-C of DOC were collected via XAD, PPL and RO/ED, respectively. Rates of DOC recovery using the XAD, PPL and RO/ED methods were 10, 33 and 10 mg-C h− 1, respectively. Based upon C/N ratios, XAD isolates were heavily C-enriched compared with water column DOM, whereas RO/ED and PPL ➔ RO/ED isolate C/N values were most representative of the original DOM. All techniques are suitable for the isolation of large amounts of DOM with purities suitable for most advanced analytical techniques. Coupling PPL and RO/ED techniques may provide substantial progress in the search for a method to quantitatively isolate oceanic DOC, bringing the entirety of the DOM pool within the marine chemist's analytical window.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2014.01.012","usgsCitation":"Green, N.W., Perdue, E.M., Aiken, G.R., Butler, K.D., Chen, H., Dittmar, T., Niggemann, J., and Stubbins, A., 2014, An intercomparison of three methods for the large-scale isolation of oceanic dissolved organic matter: Marine Chemistry, v. 161, p. 14-19, https://doi.org/10.1016/j.marchem.2014.01.012.","productDescription":"6 p.","startPage":"14","endPage":"19","ipdsId":"IP-054494","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"161","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596dcca4e4b0d1f9f0627567","contributors":{"authors":[{"text":"Green, Nelson W.","contributorId":194720,"corporation":false,"usgs":false,"family":"Green","given":"Nelson","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":705183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perdue, E. 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Accurate information regarding the status and trends of stream resources is vital for their effective conservation and management. Most statistical techniques applied to data measured on stream networks were developed for terrestrial applications and are not optimized for streams. A new class of spatial statistical model, based on valid covariance structures for stream networks, can be used with many common types of stream data (e.g., water quality attributes, habitat conditions, biological surveys) through application of appropriate distributions (e.g., Gaussian, binomial, Poisson). The spatial statistical network models account for spatial autocorrelation (i.e., nonindependence) among measurements, which allows their application to databases with clustered measurement locations. Large amounts of stream data exist in many areas where spatial statistical analyses could be used to develop novel insights, improve predictions at unsampled sites, and aid in the design of efficient monitoring strategies at relatively low cost. We review the topic of spatial autocorrelation and its effects on statistical inference, demonstrate the use of spatial statistics with stream datasets relevant to common research and management questions, and discuss additional applications and development potential for spatial statistics on stream networks. Free software for implementing the spatial statistical network models has been developed that enables custom applications with many stream databases.
","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1023","usgsCitation":"Isaak, D.J., Peterson, E.E., Ver Hoef, J.M., Wenger, S.J., Falke, J.A., Torgersen, C.E., Sowder, C., Steel, E.A., Fortin, M., Jordan, C.E., Ruesch, A.S., Som, N., and Monestiez, P., 2014, Applications of spatial statistical network models to stream data: WIREs Water, v. 1, no. 3, p. 277-294, https://doi.org/10.1002/wat2.1023.","productDescription":"18 p.","startPage":"277","endPage":"294","ipdsId":"IP-052526","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":346716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-03","publicationStatus":"PW","scienceBaseUri":"59e71694e4b05fe04cd331d7","contributors":{"authors":[{"text":"Isaak, Daniel J.","contributorId":177835,"corporation":false,"usgs":false,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Erin E.","contributorId":16264,"corporation":false,"usgs":true,"family":"Peterson","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ver Hoef, Jay M.","contributorId":42504,"corporation":false,"usgs":true,"family":"Ver Hoef","given":"Jay","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":712900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":712902,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":3578,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":712903,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sowder, Colin","contributorId":197201,"corporation":false,"usgs":false,"family":"Sowder","given":"Colin","email":"","affiliations":[],"preferred":false,"id":712904,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Steel, E. Ashley","contributorId":192227,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":712905,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fortin, Marie-Josée","contributorId":40462,"corporation":false,"usgs":true,"family":"Fortin","given":"Marie-Josée","affiliations":[],"preferred":false,"id":712906,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jordan, Chris E.","contributorId":88233,"corporation":false,"usgs":true,"family":"Jordan","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712907,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ruesch, Aaron S.","contributorId":26559,"corporation":false,"usgs":true,"family":"Ruesch","given":"Aaron","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":712908,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Som, Nicholas","contributorId":100264,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","affiliations":[],"preferred":false,"id":712909,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Monestiez, Pascal","contributorId":11910,"corporation":false,"usgs":true,"family":"Monestiez","given":"Pascal","email":"","affiliations":[],"preferred":false,"id":712910,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70196968,"text":"70196968 - 2014 - Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards Anas platyrhynchos","interactions":[],"lastModifiedDate":"2018-09-04T16:37:48","indexId":"70196968","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards (Anas platyrhynchos) ","title":"Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards Anas platyrhynchos","docAbstract":"Recent repeated isolation of H14 hemagglutinin subtype influenza A viruses (IAVs) in the New World waterfowl provides evidence to suggest that host and/or geographic ranges for viruses of this subtype may be expanding. In this study, we used genomic analyses to gain inference on the origin and evolution of H14 viruses in New World waterfowl and conducted an experimental challenge study in mallards (Anas platyrhynchos) to evaluate pathogenicity, viral replication, and transmissibility of a representative viral strain in a natural host species. Genomic characterization of H14 subtype IAVs isolated from New World waterfowl, including three isolates sequenced specifically for this study, revealed high nucleotide identity among individual gene segments (e.g. ≥95% shared identity among H14 HA gene segments). In contrast, lower shared identity was observed among internal gene segments. Furthermore, multiple neuraminidase subtypes were observed for H14 IAVs isolated in the New World. Gene segments of H14 viruses isolated after 2010 shared ancestral genetic lineages with IAVs isolated from wild birds throughout North America. Thus, genomic characterization provided evidence for viral evolution in New World waterfowl through genetic drift and genetic shift since purported introduction from Eurasia. In the challenge study, no clinical disease or lesions were observed among mallards experimentally inoculated with A/blue-winged teal/Texas/AI13-1028/2013(H14N5) or exposed via contact with infected birds. Titers of viral shedding for mallards challenged with the H14N5 IAV were highest at two days post-inoculation (DPI); however shedding was detected up to nine DPI using cloacal swabs. The distribution of viral antigen among mallards infected with H14N5 IAV was largely restricted to enterocytes lining the villi in the lower intestinal tract and in the epithelium of the bursa of Fabricius. Characterization of the infectivity of A/blue-winged teal/Texas/AI13-1028/2013(H14N5) in mallards provides support for similarities in viral replication and shedding as compared to previously described waterfowl-adapted, low pathogenic IAV strains in ducks.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0095620","usgsCitation":"Ramey, A.M., Poulson, R., Gonzalez-Reiche, A.S., Perez, D.R., Stalknecht, D.E., and Brown, J.D., 2014, Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards Anas platyrhynchos: PLoS ONE, v. 9, no. 5, e95620, 10 p., https://doi.org/10.1371/journal.pone.0095620.","productDescription":" e95620, 10 p.","ipdsId":"IP-054397","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":473021,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0095620","text":"Publisher Index Page"},{"id":354116,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-05-01","publicationStatus":"PW","scienceBaseUri":"5afeedd6e4b0da30c1bfc730","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":735168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":735169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez-Reiche, Ana S.","contributorId":204838,"corporation":false,"usgs":false,"family":"Gonzalez-Reiche","given":"Ana","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perez, Daniel R.","contributorId":58208,"corporation":false,"usgs":true,"family":"Perez","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stalknecht, David E.","contributorId":150466,"corporation":false,"usgs":false,"family":"Stalknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":735172,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Justin D.","contributorId":87838,"corporation":false,"usgs":false,"family":"Brown","given":"Justin","email":"","middleInitial":"D.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":735173,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188045,"text":"70188045 - 2014 - Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture","interactions":[],"lastModifiedDate":"2018-12-07T14:42:44","indexId":"70188045","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":679,"text":"Agricultural Systems","active":true,"publicationSubtype":{"id":10}},"title":"Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture","docAbstract":"Over 22 million hectares (ha) of U.S. croplands are irrigated. Irrigation is an intensified agricultural land use that increases crop yields and the practice affects water and energy cycles at, above, and below the land surface. Until recently, there has been a scarcity of geospatially detailed information about irrigation that is comprehensive, consistent, and timely to support studies tying agricultural land use change to aquifer water use and other factors. This study shows evidence for a recent overall net expansion of 522 thousand ha across the U.S. (2.33%) and 519 thousand ha (8.7%) in irrigated cropped area across the High Plains Aquifer (HPA) from 2002 to 2007. In fact, over 97% of the net national expansion in irrigated agriculture overlays the HPA. We employed a modeling approach implemented at two time intervals (2002 and 2007) for mapping irrigated agriculture across the conterminous U.S. (CONUS). We utilized U.S. Department of Agriculture (USDA) county statistics, satellite imagery, and a national land cover map in the model. The model output, called the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the U.S. (MIrAD-US), was then used to reveal relatively detailed spatial patterns of irrigation change across the nation and the HPA. Causes for the irrigation increase in the HPA are complex, but factors include crop commodity price increases, the corn ethanol industry, and government policies related to water use. Impacts of more irrigation may include shifts in local and regional climate, further groundwater depletion, and increasing crop yields and farm income.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agsy.2014.01.004","usgsCitation":"Brown, J.F., and Pervez, M., 2014, Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture: Agricultural Systems, v. 127, p. 28-40, https://doi.org/10.1016/j.agsy.2014.01.004.","productDescription":"13 p.","startPage":"28","endPage":"40","ipdsId":"IP-039516","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c4e4b092b266f10d8b","contributors":{"authors":[{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 spervez@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":3099,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"spervez@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696310,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186145,"text":"70186145 - 2014 - Progress in data collection and dissemination in water resources – 1974-2014","interactions":[],"lastModifiedDate":"2017-03-30T11:24:16","indexId":"70186145","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3720,"text":"Water Resources Impact","printIssn":"1522-3175","active":true,"publicationSubtype":{"id":10}},"title":"Progress in data collection and dissemination in water resources – 1974-2014","docAbstract":"In the 50 years since the founding of the American Water Resources Association (AWRA), there has been tremendous and likely unforeseen progress in water-re- sources data collection and dissemination. Langford and Doyel (1974) (henceforth L&D) described progress during the decade following the founding of AWRA, and focused their description around seven topics. L&D described the changes as being “more philosophical than technical,” and noted the importance to the water-resources com-\nmunity of the more than 30 Federal Acts or Amendments enacted in the decade. \nThe purpose of this article is to provide an update to L&D by reviewing L&D’s predictions of anticipated changes in water resources data collection and dissemi-nation, providing an overview of some of the drivers of change in the water-resources community in the last 40 years, identifying some key advances in water-resources data collection and dissemination since 1974, and out-lining some important near-term challenges. The overview is necessarily incomplete, but represents one perspective based on years of collaboration throughout the water-resources community.","language":"English","publisher":"America Water Resources Association","usgsCitation":"Bales, J.D., 2014, Progress in data collection and dissemination in water resources – 1974-2014: Water Resources Impact, v. 16, no. 3, p. 18-23.","productDescription":"6 p.","startPage":"18","endPage":"23","ipdsId":"IP-056207","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338804,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"16","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de1951e4b02ff32c699cb3","contributors":{"authors":[{"text":"Bales, Jerad D. 0000-0001-8398-6984 jdbales@usgs.gov","orcid":"https://orcid.org/0000-0001-8398-6984","contributorId":683,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","email":"jdbales@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":687666,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70004250,"text":"70004250 - 2014 - Desert wetlands in the geologic record","interactions":[],"lastModifiedDate":"2015-01-29T09:20:19","indexId":"70004250","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Desert wetlands in the geologic record","docAbstract":"Desert wetlands support flora and fauna in a variety of hydrologic settings, including seeps, springs, marshes, wet meadows, ponds, and spring pools. Over time, eolian, alluvial, and fluvial sediments become trapped in these settings by a combination of wet ground conditions and dense plant cover. The result is a unique combination of clastic sediments, chemical precipitates, and organic matter that is preserved in the geologic record as ground-water discharge (GWD) deposits. GWD deposits contain information on the timing and magnitude of past changes in water-table levels and, therefore, are a potential source of paleohydrologic and paleoclimatic information. In addition, they can be important archeological and paleontological archives because desert wetlands provide reliable sources of fresh water, and thus act as focal points for human and faunal activities, in some of the world's harshest and driest lands. Here, we review some of the physical, sedimentological, and geochemical characteristics common to GWD deposits, and provide a contextual framework that researchers can use to identify and interpret geologic deposits associated with desert wetlands. We discuss several lines of evidence used to differentiate GWD deposits from lake deposits (they are commonly confused), and examine how various types of microbiota and depositional facies aid in reconstructing past environmental and hydrologic conditions. We also review how late Quaternary GWD deposits are dated, as well as methods used to investigate desert wetlands deeper in geologic time. We end by evaluating the strengths and limitations of hydrologic and climatic records derived from GWD deposits, and suggest several avenues of potential future research to further develop and utilize these unique and complex systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2014.02.001","usgsCitation":"Pigati, J.S., Rech, J.A., Quade, J., and Bright, J., 2014, Desert wetlands in the geologic record: Earth-Science Reviews, v. 132, p. 67-81, https://doi.org/10.1016/j.earscirev.2014.02.001.","productDescription":"15 p.","startPage":"67","endPage":"81","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022854","costCenters":[],"links":[{"id":297602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b71e4b08de9379b3392","contributors":{"editors":[{"text":"Edwards, L.","contributorId":91976,"corporation":false,"usgs":true,"family":"Edwards","given":"L.","affiliations":[],"preferred":false,"id":519955,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Springer, A.","contributorId":121535,"corporation":false,"usgs":true,"family":"Springer","given":"A.","email":"","affiliations":[],"preferred":false,"id":519956,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Pigati, Jeff S.","contributorId":60114,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":512910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rech, Jason A.","contributorId":30730,"corporation":false,"usgs":true,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":512912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quade, Jay","contributorId":22108,"corporation":false,"usgs":false,"family":"Quade","given":"Jay","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":512909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":512911,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187386,"text":"70187386 - 2014 - Relationships among walleye population characteristics and genetic diversity in northern Wisconsin Lakes","interactions":[],"lastModifiedDate":"2017-05-01T12:39:10","indexId":"70187386","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Relationships among walleye population characteristics and genetic diversity in northern Wisconsin Lakes","docAbstract":"The maintenance of genetic integrity is an important goal of fisheries management, yet little is known regarding the effects of management actions (e.g., stocking, harvest regulations) on the genetic diversity of many important fish species. Furthermore, relationships between population characteristics and genetic diversity remain poorly understood. We examined relationships among population demographics (abundance, recruitment, sex ratio, and mean age of the breeding population), stocking intensity, and genetic characteristics (heterozygosity, effective number of alleles, allelic richness, Wright's inbreeding coefficient, effective population size [Ne], mean d2 [a measure of inbreeding], mean relatedness, and pairwise population ΦST estimates) for 15 populations of Walleye Sander vitreus in northern Wisconsin. We also tested for potential demographic and genetic influences on Walleye body condition and early growth. Combinations of demographic variables explained 47.1–79.8% of the variation in genetic diversity. Skewed sex ratios contributed to a reduction in Ne and subsequent increases in genetic drift and relatedness among individuals within populations; these factors were correlated to reductions in allelic richness and early growth rate. Levels of inbreeding were negatively related to both age-0 abundance and mean age, suggesting Ne was influenced by recruitment and generational overlap. A negative relationship between the effective number of alleles and body condition suggests stocking affected underlying genetic diversity of recipient populations and the overall productivity of the population. These relationships may result from poor performance of stocked fish, outbreeding depression, or density-dependent factors. An isolation-by-distance pattern of genetic diversity was apparent in nonstocked populations, but was disrupted in stocked populations, suggesting that stocking affected genetic structure. Overall, demographic factors were related to genetic diversity and stocking appeared to alter allelic frequencies and the genetic structure of Walleye populations in Wisconsin, possibly resulting in disruption of local adaptation.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.880742","usgsCitation":"Waterhouse, M.D., Sloss, B.L., and Isermann, D.A., 2014, Relationships among walleye population characteristics and genetic diversity in northern Wisconsin Lakes: Transactions of the American Fisheries Society, v. 143, no. 3, p. 744-756, https://doi.org/10.1080/00028487.2014.880742.","productDescription":"13 p.","startPage":"744","endPage":"756","ipdsId":"IP-045413","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Oneida County, Vilas County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.0477,45.8953],[-89.047,45.8097],[-89.0469,45.7265],[-89.0475,45.6391],[-89.0468,45.5518],[-89.0467,45.4668],[-89.174,45.4681],[-89.3013,45.4692],[-89.4274,45.4707],[-89.4286,45.5553],[-89.5489,45.5562],[-89.6725,45.5556],[-89.7961,45.5559],[-89.9197,45.5551],[-90.0433,45.5551],[-90.0434,45.6443],[-90.0434,45.7302],[-90.0448,45.8176],[-90.0428,45.8972],[-90.0442,45.9823],[-90.0134,45.9824],[-89.9853,45.9821],[-89.9289,45.9818],[-89.9282,46.0693],[-89.9288,46.1558],[-89.9287,46.2428],[-89.929,46.3],[-89.7599,46.268],[-89.7368,46.2636],[-89.5829,46.2347],[-89.5331,46.2252],[-89.5133,46.2215],[-89.4272,46.2048],[-89.3759,46.1949],[-89.2666,46.1737],[-89.2302,46.1662],[-89.0854,46.1365],[-88.9879,46.0971],[-88.9329,46.0746],[-88.9332,45.9822],[-89.0478,45.9822],[-89.0477,45.8953]]]},\"properties\":{\"name\":\"Oneida\",\"state\":\"WI\"}}]}","volume":"143","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"59084932e4b0fc4e448ffd7c","contributors":{"authors":[{"text":"Waterhouse, Matthew D.","contributorId":191666,"corporation":false,"usgs":false,"family":"Waterhouse","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":693723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70103270,"text":"70103270 - 2014 - Spatial and temporal trends in occurrence of emerging and legacy contaminants in the Lower Columbia River 2008-2010","interactions":[],"lastModifiedDate":"2018-09-14T15:59:04","indexId":"70103270","displayToPublicDate":"2014-04-30T14:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal trends in occurrence of emerging and legacy contaminants in the Lower Columbia River 2008-2010","docAbstract":"The Lower Columbia River in Oregon and Washington, USA, is an important resource for aquatic and terrestrial organisms, agriculture, and commerce. An 86-mile stretch of the river was sampled over a 3 year period in order to determine the spatial and temporal trends in the occurrence and concentration of water-borne organic contaminants. Sampling occurred at 10 sites along this stretch and at 1 site on the Willamette River using the semipermeable membrane device (SPMD) and the polar organic chemical integrative sampler (POCIS) passive samplers. Contaminant profiles followed the predicted trends of lower numbers of detections and associated concentrations in the rural areas to higher numbers and concentrations at the more urbanized sites. Industrial chemicals, plasticizers, and PAHs were present at the highest concentrations. Differences in concentrations between sampling periods were related to the amount of rainfall during the sampling period. In general, water concentrations of wastewater-related contaminants decreased and concentrations of legacy contaminants slightly increased with increasing rainfall amounts.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.07.128","usgsCitation":"Alvarez, D.A., Perkins, S.D., Nilsen, E.B., and Morace, J.L., 2014, Spatial and temporal trends in occurrence of emerging and legacy contaminants in the Lower Columbia River 2008-2010: Science of the Total Environment, v. 484, p. 322-330, https://doi.org/10.1016/j.scitotenv.2013.07.128.","productDescription":"9 p.","startPage":"322","endPage":"330","numberOfPages":"9","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-045561","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":286824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286823,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.07.128"}],"country":"United States","state":"Oregon;Washington","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.09,45.54 ], [ -124.09,49.35 ], [ -117.6,49.35 ], [ -117.6,45.54 ], [ -124.09,45.54 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53620d53e4b0c409c6289a34","contributors":{"authors":[{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":493220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perkins, Stephanie D. sperkins@usgs.gov","contributorId":2745,"corporation":false,"usgs":true,"family":"Perkins","given":"Stephanie","email":"sperkins@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":493221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nilsen, Elena B. 0000-0002-0104-6321 enilsen@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":923,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","email":"enilsen@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morace, Jennifer L. 0000-0002-8132-4044 jlmorace@usgs.gov","orcid":"https://orcid.org/0000-0002-8132-4044","contributorId":945,"corporation":false,"usgs":true,"family":"Morace","given":"Jennifer","email":"jlmorace@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493219,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70103280,"text":"70103280 - 2014 - Assessing reproductive and endocrine parameters in male largescale suckers (Catostomus macrocheilus) along a contaminant gradient in the lower Columbia River, USA","interactions":[],"lastModifiedDate":"2014-05-08T09:10:41","indexId":"70103280","displayToPublicDate":"2014-04-30T14:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Assessing reproductive and endocrine parameters in male largescale suckers (Catostomus macrocheilus) along a contaminant gradient in the lower Columbia River, USA","docAbstract":"Persistent organochlorine pollutants such as polychlorinated biphenyls (PCBs), dichlorodiphenyldichloroethylene (p,p′-DDE), and polybrominated diphenyl ethers (PBDEs) are stable, bioaccumulative, and widely found in the environment, wildlife, and the human population. To explore the hypothesis that reproduction in male fish is associated with environmental exposures in the lower Columbia River (LCR), reproductive and endocrine parameters were studied in male resident, non-anadromous largescale sucker (Catostomus macrocheilus) (LSS) in the same habitats as anadromous salmonids having conservation status. Testes, thyroid tissue and plasma collected in 2010 from Longview (LV), Columbia City (CC), and Skamania (SK; reference) were studied. Sperm morphologies and thyrocyte heights were measured by light microscopy, sperm motilities by computer-assisted sperm motion analysis, sperm adenosine triphosphate (ATP) with luciferase, and plasma vitellogenin (VTG), thyroxine (T4), and triiodothyronine (T3) by immunoassay. Sperm apoptosis, viability, mitochondrial membrane potential, nuclear DNA fragmentation, and reproductive stage were measured by flow cytometry. Sperm quality parameters (except counts) and VTG were significantly different among sites, with correlations between VTG and 7 sperm parameters. Thyrocyte heights, T4, T3, gonadosomatic index and Fulton's condition factor differed among sites, but not significantly. Sperm quality was significantly lower and VTG higher where liver contaminants and water estrogen equivalents were highest (LV site). Total PCBs (specifically PCB-138, -146, -151, -170, -174, -177, -180, -183, -187, -194, and -206) and total PBDEs (specifically BDE-47, -100, -153, and -154) were negatively correlated with sperm motility. PCB-206 and BDE-154 were positively correlated with DNA fragmentation, and pentachloroanisole and VTG were positively correlated with sperm apoptosis and negatively correlated with ATP. BDE-99 was positively correlated with sperm counts and motility; T4 was negatively correlated with counts and positively correlated with motility, thus indicating possible androgenic mechanisms and thyroid endocrine disruption. Male LSS proved to be an informative model for studying reproductive and endocrine biomarkers in the LCR.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.09.097","usgsCitation":"Jenkins, J.A., Olivier, H., Draugelis-Dale, R., Eilts, B., Torres, L., Patiño, R., Nilsen, E.B., and Goodbred, S.L., 2014, Assessing reproductive and endocrine parameters in male largescale suckers (Catostomus macrocheilus) along a contaminant gradient in the lower Columbia River, USA: Science of the Total Environment, v. 484, p. 365-378, https://doi.org/10.1016/j.scitotenv.2013.09.097.","productDescription":"14 p.","startPage":"365","endPage":"378","numberOfPages":"14","ipdsId":"IP-046167","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473034,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/05h140jb","text":"External Repository"},{"id":286822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286801,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.09.097"}],"country":"United States","state":"Oregon;Washington","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.09,45.54 ], [ -124.09,49.35 ], [ -117.6,49.35 ], [ -117.6,45.54 ], [ -124.09,45.54 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53620d4fe4b0c409c6289a24","chorus":{"doi":"10.1016/j.scitotenv.2013.09.097","url":"http://dx.doi.org/10.1016/j.scitotenv.2013.09.097","publisher":"Elsevier BV","authors":"Jenkins J.A., Olivier H.M., Draugelis-Dale R.O., Eilts B.E., Torres L., Patiño R., Nilsen E., Goodbred S.L.","journalName":"Science of The Total Environment","publicationDate":"6/2014"},"contributors":{"authors":[{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":493224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olivier, H.M.","contributorId":70690,"corporation":false,"usgs":true,"family":"Olivier","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":493228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Draugelis-Dale, R. 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Our objectives were to determine (1) whether temporal trends in lake-water clarity existed across this large geographic area and (2) whether trends were related to the lake-specific characteristics of latitude, lake size, or time period the lake was monitored. Our database consisted of >140,000 individual Secchi observations from 3,251 lakes that we summarized per lake-year, resulting in 21,020 summer averages. Using Bayesian hierarchical modeling, we found approximately a 1% per year increase in water clarity (quantified as Secchi depth) for the entire population of lakes. On an individual lake basis, 7% of lakes showed increased water clarity and 4% showed decreased clarity. Trend direction and strength were related to latitude and median sample date. Lakes in the southern part of our study-region had lower average annual summer water clarity, more negative long-term trends, and greater inter-annual variability in water clarity compared to northern lakes. Increasing trends were strongest for lakes with median sample dates earlier in the period of record (1938–2012). Our ability to identify specific mechanisms for these trends is currently hampered by the lack of a large, multi-thematic database of variables that drive water clarity (e.g., climate, land use/cover). Our results demonstrate, however, that citizen science can provide the critical monitoring data needed to address environmental questions at large spatial and long temporal scales. Collaborations among citizens, research scientists, and government agencies may be important for developing the data sources and analytical tools necessary to move toward an understanding of the factors influencing macro-scale patterns such as those shown here for lake water clarity.
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