Fatty acid analysis of periphyton is an emerging tool for assessing the condition of a stream ecosystem on the basis of its water quality. The study presented in this report was designed to test the hypothesis that periphyton communities have a fatty acid profile that can detect excessive turbidity and suspended sediment. The fatty acid composition of periphyton was assessed during two seasons upstream and downstream from an underground aqueduct that provides supplemental flows, which are a potential source of turbidity and suspended sediment on the upper Esopus Creek, New York. These data were compared with measurements of periphyton standing crop, diatom community structure and integrity, and basic water-quality parameters. Periphyton standing crop and diatom community integrity indicated little evidence of impairment from the supplemental flows. The relative abundances of two physiologically important fatty acids, γ-linolenic acid (18:3ω6) and eicosapentaenoic acid (20:5ω3), were significantly lower downstream from the supplemental flows and multivariate analyses of fatty acid profiles identified significant differences between sites upstream and downstream from the supplemental flows. Individual fatty acids and summary metrics, however, were not significantly correlated with turbidity or suspended sediment. Together, these results indicate that the supplemental flows may cause some measurable effects but they do not constitute a major disturbance to the periphyton community on the upper Esopus Creek. Fatty acid analysis may have potential as a tool for monitoring changes in periphyton nutritional composition that may reflect water quality and ecosystem health but needs to be further evaluated around a more definitive source of water-quality impairment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155161","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"George, S.D., Ernst, A.G., Baldigo, B.P., and Honeyfield, D.C., 2016, Response of periphyton fatty acid composition to supplemental flows in the upper Esopus Creek, Catskill Mountains, New York: U.S. Geological Survey Scientific Investigations Report 2015–5161, 22 p., with appendixes, https://dx.doi.org/10.3133/sir20155161.","productDescription":"viii, 22 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050857","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":313924,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5161/coverthb.jpg"},{"id":313925,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5161/sir20155161.pdf","text":"Report","size":"3.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5161"}],"country":"United States","state":"New York","otherGeospatial":"Esopus Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.6466064453125,\n 41.99522219923445\n ],\n [\n -74.6466064453125,\n 42.15118709351198\n ],\n [\n -74.1632080078125,\n 42.15118709351198\n ],\n [\n -74.1632080078125,\n 41.99522219923445\n ],\n [\n -74.6466064453125,\n 41.99522219923445\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349
Information requests:
(518) 285-5602
or visit our Web site at:
http://ny.water.usgs.gov
The Sutron 8310-N-S (8310) data collection platform (DCP) manufactured by Sutron Corporation was evaluated by the U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility (HIF) for conformance to the manufacturer’s specifications for recording and transmitting data. The 8310-N-S is a National Electrical Manufacturers Association (NEMA)-enclosed DCP with a built-in Geostationary Operational Environmental Satellite transmitter that operates over a temperature range of −40 to 60 degrees Celsius (°C). The evaluation procedures followed and the results obtained are described in this report for bench, temperature chamber, and outdoor deployment testing. The three units tested met the manufacturer’s stated specifications for the tested conditions, but two of the units had transmission errors either during temperature chamber or deployment testing. During outdoor deployment testing, 6.72 percent of transmissions by serial number 1206109 contained errors, resulting in missing data. Transmission errors were also observed during temperature chamber testing with serial number 1208283, at an error rate of 3.22 percent. Overall, the 8310 has good logging capabilities, but the transmission errors are a concern for users who require reliable telemetered data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151210","usgsCitation":"Kunkle, G.A., 2016, Evaluation of the 8310 manufactured by Sutron—Results of bench, temperature, and field deployment testing: U.S. Geological Survey Open-File Report 2015–1210, 6 p., https://dx.doi.org/10.3133/ofr20151210.","productDescription":"iii, 6 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064816","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":313953,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1210/coverthb.jpg"},{"id":313954,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1210/ofr20151210.pdf","text":"Report","size":"410 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1210"}],"country":"United States","state":"Mississippi","otherGeospatial":"Stennis Space Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.66423034667969,\n 30.312431154103745\n ],\n [\n -89.66423034667969,\n 30.365173612441442\n ],\n [\n -89.58045959472656,\n 30.365173612441442\n ],\n [\n -89.58045959472656,\n 30.312431154103745\n ],\n [\n -89.66423034667969,\n 30.312431154103745\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Chief, Hydrologic Instrumentation Facility
U.S. Geological Survey
Building 2101
Stennis Space Center, MS 39529
http://water.usgs.gov/hif/
An urban pollutant loading model was used to demonstrate how incorrect assumptions on the particle size distribution (PSD) in urban runoff can alter the design characteristics of stormwater control measures (SCMs) used to remove solids in stormwater. Field-measured PSD, although highly variable, is generally coarser than the widely-accepted PSD characterized by the Nationwide Urban Runoff Program (NURP). PSDs can be predicted based on environmental surrogate data. There were no appreciable differences in predicted PSD when grouped by season. Model simulations of a wet detention pond and catch basin showed a much smaller surface area is needed to achieve the same level of solids removal using the median value of field-measured PSD as compared to NURP PSD. Therefore, SCMs that used the NURP PSD in the design process could be unnecessarily oversized. The median of measured PSDs, although more site-specific than NURP PSDs, could still misrepresent the efficiency of an SCM because it may not adequately capture the variability of individual runoff events. Future pollutant loading models may account for this variability through regression with environmental surrogates, but until then, without proper site characterization, the adoption of a single PSD to represent all runoff conditions may result in SCMs that are under- or over-sized, rendering them ineffective or unnecessarily costly.
","language":"English","publisher":"MDPI","doi":"10.3390/w8010017","collaboration":"Wisconsin Department of Natural Resources","usgsCitation":"Selbig, W.R., Fienen, M., Horwatich, J.A., and Bannerman, R.T., 2016, The effect of particle size distribution on the design of urban stormwater control measures: Water, v. 8, no. 1, w8010017: 17 p., https://doi.org/10.3390/w8010017.","productDescription":"w8010017: 17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069813","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":471342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w8010017","text":"Publisher Index Page"},{"id":314000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-06","publicationStatus":"PW","scienceBaseUri":"568f8c3ce4b0e7a44bc5ec97","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":587953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horwatich, Judy A. 0000-0003-0582-0836 jahorwat@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0836","contributorId":1388,"corporation":false,"usgs":true,"family":"Horwatich","given":"Judy","email":"jahorwat@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587955,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70161810,"text":"70161810 - 2016 - Ca, Sr and Ba stable isotopes reveal the fate of soil nutrients along a tropical climosequence","interactions":[],"lastModifiedDate":"2016-01-11T10:42:47","indexId":"70161810","displayToPublicDate":"2016-01-07T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Ca, Sr and Ba stable isotopes reveal the fate of soil nutrients along a tropical climosequence","docAbstract":"Nutrient biolifting is an important pedogenic process in which plant roots obtain inorganic nutrients such as phosphorus (P) and calcium (Ca) from minerals at depth and concentrate those nutrients at the surface. Here we use soil chemistry and stable isotopes of the alkaline earth elements Ca, strontium (Sr) and barium (Ba) to test the hypothesis that biolifting of P has been an important pedogenic process across a soil climosequence developed on volcanic deposits at Kohala Mountain, Hawaii. The geochemical linkage between these elements is revealed as generally positive site-specific relationships in soil mass gains and losses, particularly for P, Ba and Ca, using the ratio of immobile elements titanium and niobium (Ti/Nb) to link individual soil samples to a restricted compositional range of the chemically and isotopically diverse volcanic parent materials. At sites where P is enriched in surface soils relative to abundances in deeper soils, the isotope compositions of exchangeable Ca, Sr and Ba in the shallowest soil horizons (< 10 cm depth) are lighter than those of the volcanic parent materials and trend toward those of plants growing on fresh volcanic deposits. In contrast the isotope composition of exchangeable Ba in deeper soil horizons (> 10 cm depth) at those sites is consistently heavier than the volcanic parent materials. The isotope compositions of exchangeable Ca and Sr trend toward heavier compositions with depth more gradually, reflecting increasing leakiness from these soils in the order Ba < Sr < Ca and downward transfer of light biocycled Ca and Sr to deeper exchange sites. Given the long-term stability of ecosystem properties at the sites where P is enriched in surface soils, a simple box model demonstrates that persistence of isotopically light exchangeable Ca, Sr and Ba in the shallowest soil horizons requires that the uptake flux to plants from those near-surface layers is less than the recycling flux returned to the surface as litterfall. This observation implicates an uptake flux from an additional source which we attribute to biolifting. We view the heavy exchangeable Ba relative to soil parent values in deeper soils at sites where P is enriched in surface soils, and indeed at all but the wettest site across the climosequence, to represent the complement of an isotopically light Ba fraction removed from these soils by plant roots consistent with the biolifting hypothesis. We further suggest that decreasing heaviness of depth-integrated exchangeable Ba in deeper soils with increasing median annual precipitation across the climosequence reflects greater reliance on shallow nutrient sources as site water balance increases. While the Ca, Sr and Ba isotopes considered together were useful in confirming an important role for nutrient biolifting across the climosequence, the Ba isotopes provided the most robust tracer of biolifting and have the greatest potential to find application as an isotopic proxy for P dynamics in soils.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2015.12.008","usgsCitation":"Bullen, T.D., and Chadwick, O.A., 2016, Ca, Sr and Ba stable isotopes reveal the fate of soil nutrients along a tropical climosequence: Chemical Geology, v. 422, p. 25-45, https://doi.org/10.1016/j.chemgeo.2015.12.008.","productDescription":"21 p.","startPage":"25","endPage":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071551","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2015.12.008","text":"Publisher Index Page"},{"id":313999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kohala Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.71197509765625,\n 20.029483785566846\n ],\n [\n -155.71197509765625,\n 20.114615840542655\n ],\n [\n -155.5938720703125,\n 20.114615840542655\n ],\n [\n -155.5938720703125,\n 20.029483785566846\n ],\n [\n -155.71197509765625,\n 20.029483785566846\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"422","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568f8c30e4b0e7a44bc5ec80","chorus":{"doi":"10.1016/j.chemgeo.2015.12.008","url":"http://dx.doi.org/10.1016/j.chemgeo.2015.12.008","publisher":"Elsevier BV","authors":"Bullen Thomas, Chadwick Oliver","journalName":"Chemical Geology","publicationDate":"3/2016"},"contributors":{"authors":[{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":587844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chadwick, Oliver A.","contributorId":88244,"corporation":false,"usgs":false,"family":"Chadwick","given":"Oliver","email":"","middleInitial":"A.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":587845,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173527,"text":"70173527 - 2016 - Urbanization and stream ecology: Diverse mechanisms of change","interactions":[],"lastModifiedDate":"2016-06-20T14:23:42","indexId":"70173527","displayToPublicDate":"2016-01-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Urbanization and stream ecology: Diverse mechanisms of change","docAbstract":"The field of urban stream ecology has evolved rapidly in the last 3 decades, and it now includes natural scientists from numerous disciplines working with social scientists, landscape planners and designers, and land and water managers to address complex, socioecological problems that have manifested in urban landscapes. Over the last decade, stream ecologists have met 3 times at the Symposium on Urbanization and Stream Ecology (SUSE) to discuss current research, identify knowledge gaps, and promote future research collaborations. The papers in this special series on urbanization and stream ecology include both primary research studies and conceptual synthesis papers spurred from discussions at SUSE in May 2014. The themes of the meeting are reflected in the papers in this series emphasizing global differences in mechanisms and responses of stream ecosystems to urbanization and management solutions in diverse urban streams. Our hope is that this series will encourage continued interdisciplinary and collaborative research to increase the global understanding of urban stream ecology toward stream protection and restoration in urban landscapes.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/685097","usgsCitation":"Roy, A.H., Capps, K.A., El-Sabaawi, R.W., Jones, K.L., Parr, T.B., Ramirez, A., Smith, R.F., Walsh, C.J., and Wenger, S.J., 2016, Urbanization and stream ecology: Diverse mechanisms of change: Freshwater Science, v. 35, no. 1, p. 272-277, https://doi.org/10.1086/685097.","productDescription":"6 p.","startPage":"272","endPage":"277","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068530","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913efe4b07657d19ff2c2","contributors":{"authors":[{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capps, Krista A.","contributorId":35456,"corporation":false,"usgs":true,"family":"Capps","given":"Krista","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"El-Sabaawi, Rana W.","contributorId":171680,"corporation":false,"usgs":false,"family":"El-Sabaawi","given":"Rana","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":638290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Krista L. 0000-0002-0301-4497 kljones@usgs.gov","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":4550,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","email":"kljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parr, Thomas B.","contributorId":68222,"corporation":false,"usgs":true,"family":"Parr","given":"Thomas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramirez, Alonso","contributorId":171681,"corporation":false,"usgs":false,"family":"Ramirez","given":"Alonso","email":"","affiliations":[],"preferred":false,"id":638293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Robert F.","contributorId":171682,"corporation":false,"usgs":false,"family":"Smith","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":638294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walsh, Christopher J.","contributorId":171683,"corporation":false,"usgs":false,"family":"Walsh","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638295,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638296,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70160939,"text":"70160939 - 2016 - Progress on water data integration and distribution: a summary of select U.S. Geological Survey data systems","interactions":[],"lastModifiedDate":"2016-03-31T13:03:15","indexId":"70160939","displayToPublicDate":"2016-01-05T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2340,"text":"Journal of Hydroinformatics","active":true,"publicationSubtype":{"id":10}},"title":"Progress on water data integration and distribution: a summary of select U.S. Geological Survey data systems","docAbstract":"Critical water-resources issues ranging from flood response to water scarcity make access to integrated water information, services, tools, and models essential. Since 1995 when the first water data web pages went online, the U.S. Geological Survey has been at the forefront of water data distribution and integration. Today, real-time and historical streamflow observations are available via web pages and a variety of web service interfaces. The Survey has built partnerships with Federal and State agencies to integrate hydrologic data providing continuous observations of surface and groundwater, temporally discrete water quality data, groundwater well logs, aquatic biology data, water availability and use information, and tools to help characterize the landscape for modeling. In this paper, we summarize the status and design patterns implemented for selected data systems. We describe how these systems contribute to a U.S. Federal Open Water Data Initiative and present some gaps and lessons learned that apply to global hydroinformatics data infrastructure.
","language":"English","publisher":"IWA Publishing","doi":"10.2166/hydro.2015.067","usgsCitation":"Blodgett, D.L., Lucido, J., and Kreft, J., 2016, Progress on water data integration and distribution: a summary of select U.S. Geological Survey data systems: Journal of Hydroinformatics, v. 18, no. 2, p. 226-237, https://doi.org/10.2166/hydro.2015.067.","productDescription":"12 p.","startPage":"226","endPage":"237","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064680","costCenters":[],"links":[{"id":471345,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2166/hydro.2015.067","text":"Publisher Index Page"},{"id":313323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-31","publicationStatus":"PW","scienceBaseUri":"568ce931e4b0e7a44bc0f111","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucido, Jessica M. jlucido@usgs.gov","contributorId":4695,"corporation":false,"usgs":true,"family":"Lucido","given":"Jessica M.","email":"jlucido@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":584261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreft, James M. jkreft@usgs.gov","contributorId":250,"corporation":false,"usgs":true,"family":"Kreft","given":"James M.","email":"jkreft@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":false,"id":584262,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173968,"text":"70173968 - 2016 - Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA","interactions":[],"lastModifiedDate":"2016-06-21T07:51:33","indexId":"70173968","displayToPublicDate":"2016-01-05T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA","docAbstract":"Previous pedestrian evacuation modeling for tsunamis has not considered variable wave arrival times or critical junctures (e.g., bridges), nor does it effectively communicate multiple evacuee travel speeds. We summarize an approach that identifies evacuation corridors, recognizes variable wave arrival times, and produces a map of minimum pedestrian travel speeds to reach safety, termed a “beat-the-wave” (BTW) evacuation analysis. We demonstrate the improved approach by evaluating difficulty of pedestrian evacuation of Seaside, Oregon, for a local tsunami generated by a Cascadia subduction zone earthquake. We establish evacuation paths by calculating the least cost distance (LCD) to safety for every grid cell in a tsunami-hazard zone using geospatial, anisotropic path distance algorithms. Minimum BTW speed to safety on LCD paths is calculated for every grid cell by dividing surface distance from that cell to safety by the tsunami arrival time at safety. We evaluated three scenarios of evacuation difficulty: (1) all bridges are intact with a 5-minute evacuation delay from the start of earthquake, (2) only retrofitted bridges are considered intact with a 5-minute delay, and (3) only retrofitted bridges are considered intact with a 10-minute delay. BTW maps also take into account critical evacuation points along complex shorelines (e.g., peninsulas, bridges over shore-parallel estuaries) where evacuees could be caught by tsunami waves. The BTW map is able to communicate multiple pedestrian travel speeds, which are typically visualized by multiple maps with current LCD-based mapping practices. Results demonstrate that evacuation of Seaside is problematic seaward of the shore-parallel waterways for those with any limitations on mobility. Tsunami vertical-evacuation refuges or additional pedestrian bridges may be effective ways of reducing loss of life seaward of these waterways.
","language":"English","publisher":"Springer","doi":"10.1007/s11069-015-2011-4","collaboration":"State of Oregon Department of Geology and Mineral Industries","usgsCitation":"Priest, G., Stimely, L., Wood, N.J., Madin, I., and Watzig, R., 2016, Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA: Natural Hazards, v. 80, no. 2, p. 1031-1056, https://doi.org/10.1007/s11069-015-2011-4.","productDescription":"25 p.","startPage":"1031","endPage":"1056","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065533","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":324028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"40\",\"properties\":{\"name\":\"Oregon\",\"nation\":\"USA 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Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-19","publicationStatus":"PW","scienceBaseUri":"576913b1e4b07657d19fefa5","contributors":{"authors":[{"text":"Priest, George R.","contributorId":50950,"corporation":false,"usgs":true,"family":"Priest","given":"George R.","affiliations":[],"preferred":false,"id":639869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stimely, Laura","contributorId":71092,"corporation":false,"usgs":true,"family":"Stimely","given":"Laura","email":"","affiliations":[],"preferred":false,"id":639872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":639868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madin, Ian","contributorId":83558,"corporation":false,"usgs":true,"family":"Madin","given":"Ian","affiliations":[],"preferred":false,"id":639870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watzig, Rudie","contributorId":172194,"corporation":false,"usgs":false,"family":"Watzig","given":"Rudie","email":"","affiliations":[{"id":26998,"text":"State of Oregon Department of Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":639871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70160875,"text":"70160875 - 2016 - Predicting recreational water quality advisories: A comparison of statistical methods","interactions":[],"lastModifiedDate":"2016-01-04T13:41:10","indexId":"70160875","displayToPublicDate":"2016-01-04T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Predicting recreational water quality advisories: A comparison of statistical methods","docAbstract":"Epidemiological studies indicate that fecal indicator bacteria (FIB) in beach water are associated with illnesses among people having contact with the water. In order to mitigate public health impacts, many beaches are posted with an advisory when the concentration of FIB exceeds a beach action value. The most commonly used method of measuring FIB concentration takes 18–24 h before returning a result. In order to avoid the 24 h lag, it has become common to ”nowcast” the FIB concentration using statistical regressions on environmental surrogate variables. Most commonly, nowcast models are estimated using ordinary least squares regression, but other regression methods from the statistical and machine learning literature are sometimes used. This study compares 14 regression methods across 7 Wisconsin beaches to identify which consistently produces the most accurate predictions. A random forest model is identified as the most accurate, followed by multiple regression fit using the adaptive LASSO.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2015.10.012","collaboration":"Great Lakes Restoration Initiative and Ocean Research Priority Plan","usgsCitation":"Brooks, W.R., Corsi, S., Fienen, M., and Carvin, R.B., 2016, Predicting recreational water quality advisories: A comparison of statistical methods: Environmental Modelling and Software, v. 76, p. 81-94, https://doi.org/10.1016/j.envsoft.2015.10.012.","productDescription":"14 p.","startPage":"81","endPage":"94","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-068220","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":471348,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://handle.unsw.edu.au/1959.4/unsworks_37412","text":"External Repository"},{"id":313212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568b97a9e4b0e7594ee77624","contributors":{"authors":[{"text":"Brooks, Wesley R. wrbrooks@usgs.gov","contributorId":4217,"corporation":false,"usgs":true,"family":"Brooks","given":"Wesley","email":"wrbrooks@usgs.gov","middleInitial":"R.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":150657,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":584112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":584113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carvin, Rebecca B. 0000-0001-7778-4841 rbcarvin@usgs.gov","orcid":"https://orcid.org/0000-0001-7778-4841","contributorId":4456,"corporation":false,"usgs":true,"family":"Carvin","given":"Rebecca","email":"rbcarvin@usgs.gov","middleInitial":"B.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584114,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160872,"text":"70160872 - 2016 - Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk","interactions":[],"lastModifiedDate":"2016-01-25T16:14:19","indexId":"70160872","displayToPublicDate":"2016-01-04T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk","docAbstract":"Waterborne pathogens were measured at three beaches in Lake Michigan, environmental factors for predicting pathogen concentrations were identified, and the risk of swimmer infection and illness was estimated. Waterborne pathogens were detected in 96% of samples collected at three Lake Michigan beaches in summer, 2010. Samples were quantified for 22 pathogens in four microbial categories (human viruses, bovine viruses, protozoa, and pathogenic bacteria). All beaches had detections of human and bovine viruses and pathogenic bacteria indicating influence of multiple contamination sources at these beaches. Occurrence ranged from 40 to 87% for human viruses, 65–87% for pathogenic bacteria, and 13–35% for bovine viruses. Enterovirus, adenovirus A, Salmonella spp., Campylobacter jejuni, bovine polyomavirus, and bovine rotavirus A were present most frequently. Variables selected in multiple regression models used to explore environmental factors that influence pathogens included wave direction, cloud cover, currents, and water temperature. Quantitative Microbial Risk Assessment was done for C. jejuni, Salmonella spp., and enteroviruses to estimate risk of infection and illness. Median infection risks for one-time swimming events were approximately 3 × 10–5, 7 × 10–9, and 3 × 10–7 for C. jejuni, Salmonella spp., and enteroviruses, respectively. Results highlight the importance of investigating multiple pathogens within multiple categories to avoid underestimating the prevalence and risk of waterborne pathogens.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5b04372","usgsCitation":"Corsi, S., Borchardt, M.A., Carvin, R.B., Burch, T.R., Spencer, S., Lutz, M.A., McDermott, C.M., Busse, K.M., Kleinheinz, G., Feng, X., and Zhu, J., 2016, Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk: Environmental Science & Technology, v. 50, no. 2, p. 987-995, https://doi.org/10.1021/acs.est.5b04372.","productDescription":"9 p.","startPage":"987","endPage":"995","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070759","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":471349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5b04372","text":"Publisher Index Page"},{"id":313202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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rbcarvin@usgs.gov","orcid":"https://orcid.org/0000-0001-7778-4841","contributorId":4456,"corporation":false,"usgs":true,"family":"Carvin","given":"Rebecca","email":"rbcarvin@usgs.gov","middleInitial":"B.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burch, Tucker R tburch@usgs.gov","contributorId":5689,"corporation":false,"usgs":true,"family":"Burch","given":"Tucker","email":"tburch@usgs.gov","middleInitial":"R","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spencer, Susan K.","contributorId":39511,"corporation":false,"usgs":true,"family":"Spencer","given":"Susan K.","affiliations":[],"preferred":false,"id":584104,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lutz, Michelle A. 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Gregory","contributorId":70665,"corporation":false,"usgs":true,"family":"Kleinheinz","given":"Gregory","email":"","affiliations":[],"preferred":false,"id":584108,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Feng, Xiaoping","contributorId":151035,"corporation":false,"usgs":false,"family":"Feng","given":"Xiaoping","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":584109,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhu, Jun","contributorId":73485,"corporation":false,"usgs":true,"family":"Zhu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":584110,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70171365,"text":"70171365 - 2016 - Characterizing seasonal and diel vertical movement and habitat use of lake whitefish (Coregonus clupeaformis) in Clear Lake, Maine","interactions":[],"lastModifiedDate":"2016-05-27T13:39:37","indexId":"70171365","displayToPublicDate":"2016-01-04T09:15:00","publicationYear":"2016","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":"Characterizing seasonal and diel vertical movement and habitat use of lake whitefish (Coregonus clupeaformis) in Clear Lake, Maine","docAbstract":"Seasonal and daily vertical activity of lake whitefish Coregonus clupeaformis was studied in Clear Lake, Maine (253 ha), using acoustic telemetry from November 2004 to June 2009. Twenty adult lake whitefish were tagged with acoustic tags that had either a depth sensor or both depth and temperature sensors to assess vertical habitat use at a seasonal and daily resolution. Vertical habitat selection varied seasonally and was strongly influenced by temperature. Between December and April, when the lake was covered with ice, surface temperature was below 2°C and tagged individuals occupied deep areas of the lake (∼15 m). After ice-out, fish ascended into shallow waters (∼5 m), responding to increased water temperature and possibly to greater foraging opportunity. When surface water temperatures exceeded 20°C, fish descended below the developing thermocline (∼9 m), where they remained until surface temperatures fell below 20°C; fish then ascended into shallower depths, presumably for feeding and spawning. Through the winter, fish remained in thermal habitats that were warmer than the surface temperatures; in the summer, they selected depths with thermal habitats below 15°C. Though the amplitude varied greatly across seasons, lake whitefish displayed a strong diurnal pattern of activity as measured by vertical velocities. Fish were twofold more active during spring, summer, and fall than during winter. Lake whitefish exhibited diel vertical migrations, rising in the water column during nighttime and occupying deeper waters during the day. This pattern was more pronounced in the spring and fall and far less prominent during winter and summer. The strong linkage between temperature and habitat use may limit the current range of lake whitefish and may be directly impacted by climatic change.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00028487.2012.675905","usgsCitation":"Zydlewski, J.D., Gorsky, D., and Balsey, D., 2016, Characterizing seasonal and diel vertical movement and habitat use of lake whitefish (Coregonus clupeaformis) in Clear Lake, Maine: Transactions of the American Fisheries Society, v. 141, no. 3, p. 761-771, https://doi.org/10.1080/00028487.2012.675905.","productDescription":"10 p.","startPage":"761","endPage":"771","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021954","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Main","otherGeospatial":"Clear Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.54164123535155,\n 46.92025531537451\n ],\n [\n -68.54164123535155,\n 46.9497935132625\n ],\n [\n -68.50593566894531,\n 46.9497935132625\n ],\n [\n -68.50593566894531,\n 46.92025531537451\n ],\n [\n -68.54164123535155,\n 46.92025531537451\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"141","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-25","publicationStatus":"PW","scienceBaseUri":"57496fade4b07e28b665cc4a","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":630720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":630731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balsey, David","contributorId":169692,"corporation":false,"usgs":false,"family":"Balsey","given":"David","email":"","affiliations":[],"preferred":false,"id":630732,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70164491,"text":"70164491 - 2016 - Scaling relationships among drivers of aquatic respiration from the smallest to the largest freshwater ecosystems","interactions":[],"lastModifiedDate":"2016-07-17T23:07:12","indexId":"70164491","displayToPublicDate":"2016-01-01T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Scaling relationships among drivers of aquatic respiration from the smallest to the largest freshwater ecosystems","docAbstract":"To address how various environmental parameters control or constrain planktonic respiration (PR), we used geometric scaling relationships and established biological scaling laws to derive quantitative predictions for the relationships among key drivers of PR. We then used empirical measurements of PR and environmental (soluble reactive phosphate [SRP], carbon [DOC], chlorophyll a [Chl-a)], and temperature) and landscape parameters (lake area [LA] and watershed area [WA]) from a set of 44 lakes that varied in size and trophic status to test our hypotheses. We found that landscape-level processes affected PR through direct effects on DOC and temperature and indirectly via SRP. In accordance with predictions made from known relationships and scaling laws, scale coefficients (the parameter that describes the shape of a relationship between 2 variables) were found to be negative and have an absolute value 1, others <1). We also found evidence of a significant relationship between temperature and SRP. Because our dataset included measurements of respiration from small pond catchments to the largest body of freshwater on the planet, Lake Superior, these findings should be applicable to controls of PR for the great majority of temperate aquatic ecosystems.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Inland Waters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Freshwater Biological Association","publisherLocation":"Ambleside, Cumbria, UK","doi":"10.5268/IW-6.1.839","usgsCitation":"Hall, E., Schoolmaster, D., Amado, A., Stets, E., Lennon, J., Domaine, L., and Cotner, J., 2016, Scaling relationships among drivers of aquatic respiration from the smallest to the largest freshwater ecosystems: Inland Waters, v. 6, no. 1, p. 1-10, https://doi.org/10.5268/IW-6.1.839.","productDescription":"10 p.","startPage":"1","endPage":"10","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063678","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":316697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56b9ca8de4b08d617f63a865","contributors":{"authors":[{"text":"Hall, Ed K","contributorId":156351,"corporation":false,"usgs":false,"family":"Hall","given":"Ed K","affiliations":[{"id":20320,"text":"University of Minnesota, Department of Ecology, Evolution and Behavior","active":true,"usgs":false}],"preferred":false,"id":597582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoolmaster, Donald 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":156350,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","email":"schoolmasterd@usgs.gov","affiliations":[{"id":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":597581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amado, A.M","contributorId":156352,"corporation":false,"usgs":false,"family":"Amado","given":"A.M","email":"","affiliations":[{"id":20321,"text":"Limnology Laboratory, Departamento de Oceanografia e Limnologia, Pós-graduação em Ecologia, Universidade Federal do Rio Grande do Norte, Natal","active":true,"usgs":false}],"preferred":false,"id":597583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stets, Edward G. estets@usgs.gov","contributorId":152533,"corporation":false,"usgs":true,"family":"Stets","given":"Edward G.","email":"estets@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":597584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lennon, J.T.","contributorId":156353,"corporation":false,"usgs":false,"family":"Lennon","given":"J.T.","email":"","affiliations":[{"id":20322,"text":"Department of Biology Indiana University, Bloomington, IN","active":true,"usgs":false}],"preferred":false,"id":597585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Domaine, L.","contributorId":156354,"corporation":false,"usgs":false,"family":"Domaine","given":"L.","email":"","affiliations":[{"id":20323,"text":"Department of Biology, University of St. Thomas, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":597586,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cotner, J.B.","contributorId":95272,"corporation":false,"usgs":true,"family":"Cotner","given":"J.B.","affiliations":[],"preferred":false,"id":597587,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199864,"text":"70199864 - 2016 - Effects of topoclimatic complexity on the composition of woody plant communities","interactions":[],"lastModifiedDate":"2022-10-31T16:08:59.884268","indexId":"70199864","displayToPublicDate":"2016-01-01T15:02:10","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5538,"text":"AoB PLANTS","active":true,"publicationSubtype":{"id":10}},"title":"Effects of topoclimatic complexity on the composition of woody plant communities","docAbstract":"Topography can create substantial environmental variation at fine spatial scales. Shaped by slope, aspect, hill-position and elevation, topoclimate heterogeneity may increase ecological diversity, and act as a spatial buffer for vegetation responding to climate change. Strong links have been observed between climate heterogeneity and species diversity at broader scales, but the importance of topoclimate for woody vegetation across small spatial extents merits closer examination. We established woody vegetation monitoring plots in mixed evergreen-deciduous woodlands that spanned topoclimate gradients of a topographically heterogeneous landscape in northern California. We investigated the association between the structure of adult and regenerating size classes of woody vegetation and multidimensional topoclimate at a fine scale. We found a significant effect of topoclimate on both single-species distributions and community composition. Effects of topoclimate were evident in the regenerating size class for all dominant species (four Quercus spp. , Umbellularia californica and Pseudotsuga menziesii ) but only in two dominant species ( Quercus agrifolia and Quercus garryana ) for the adult size class. Adult abundance was correlated with water balance parameters (e.g. climatic water deficit) and recruit abundance was correlated with an interaction between the topoclimate parameters and conspecific adult abundance (likely reflecting local seed dispersal). However, in all cases, the topoclimate signal was weak. The magnitude of environmental variation across our study site may be small relative to the tolerance of long-lived woody species. Dispersal limitations, management practices and patchy disturbance regimes also may interact with topoclimate, weakening its influence on woody vegetation distributions. Our study supports the biological relevance of multidimensional topoclimate for mixed woodland communities, but highlights that this relationship might be mediated by interacting factors at local scales.
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2016 - Combined effects of nitrogen to phosphorus and nitrate toammonia ratios on cyanobacterial metabolite concentrations ineutrophic Midwestern USA reservoirs","interactions":[],"lastModifiedDate":"2018-08-07T13:48:36","indexId":"70169861","displayToPublicDate":"2016-01-01T13:48:29","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Combined effects of nitrogen to phosphorus and nitrate toammonia ratios on cyanobacterial metabolite concentrations ineutrophic Midwestern USA reservoirs","docAbstract":"Recent studies have shown that the total nitrogen to total phosphorus (TN:TP) ratio and nitrogen oxidation state may have substantial effects on secondary metabolite (e.g., microcystins) production in cyanobacteria. We investigated the relationship between the water column TN:TP ratio and the cyanobacterial secondary metabolites geosmin, 2-methylisoborneol (MIB), and microcystin using multiple years of data from 4 reservoirs located in the Midwestern United States. We also examined the relationship between water column concentrations of chemically oxidized (NO3) and reduced (NH3) nitrogen, the NO3:NH3 ratio, cyanobacterial biovolume, and associated secondary metabolites. We found that the cyanobacterial secondary metabolites geosmin, MIB, and microcystin primarily occurred when the TN:TP ratio was <30:1 (by mass), likely due to higher cyanobacterial biovolumes at lower TN:TP ratios. We also found that relative cyanobacterial biovolume was inversely related to the NO3:NH3 ratio. Both N2- and non-N2-fixing cyanobacteria seemed to produce secondary metabolites and had higher concentrations per unit biovolume when NO3:NH3 ratios were relatively low. Our data thus are consistent with the hypothesis that lower TN:TP ratios favor cyanobacterial dominance and also suggest that relatively low NO3:NH3 ratios provide conditions that may favor the production of cyanobacterial secondary metabolites. Our data further suggest that increases in the absolute concentrations of TP or NH3 (or both), causing decreases in TN:TP and NO3:NH3ratios, respectively, may stimulate cyanobacteria having the metabolic ability to produce geosmin, MIB, or microcystins. Future studies should address how the NO3:NH3 ratio affects phytoplankton community structure and occurrence and production of cyanobacterial secondary metabolites.
","language":"English","publisher":"Taylor & Francis","doi":"10.5268/IW-6.2.938","usgsCitation":"Harris, T.D., Smith, V.H., Graham, J., Van de Waal, D.B., Tedesco, L., and Clercin, N., 2016, Combined effects of nitrogen to phosphorus and nitrate toammonia ratios on cyanobacterial metabolite concentrations ineutrophic Midwestern USA reservoirs: Inland Waters, v. 6, no. 2, p. 199-210, https://doi.org/10.5268/IW-6.2.938.","productDescription":"12 p.","startPage":"199","endPage":"210","ipdsId":"IP-061939","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":471354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5268/iw-6.2.938","text":"Publisher Index Page"},{"id":356288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fca0fe4b0f5d57878ec88","contributors":{"authors":[{"text":"Harris, Theodore D. 0000-0003-0944-8007 tdharris@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-8007","contributorId":4040,"corporation":false,"usgs":true,"family":"Harris","given":"Theodore","email":"tdharris@usgs.gov","middleInitial":"D.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":625361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Val H.","contributorId":168292,"corporation":false,"usgs":false,"family":"Smith","given":"Val","email":"","middleInitial":"H.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":625364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":150737,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":625362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van de Waal, Dedmer B.","contributorId":168291,"corporation":false,"usgs":false,"family":"Van de Waal","given":"Dedmer","email":"","middleInitial":"B.","affiliations":[{"id":25240,"text":"NIOO-KNAW","active":true,"usgs":false}],"preferred":false,"id":625363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tedesco, Lenore","contributorId":168293,"corporation":false,"usgs":false,"family":"Tedesco","given":"Lenore","email":"","affiliations":[{"id":25241,"text":"Wetlands institute","active":true,"usgs":false}],"preferred":false,"id":625365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clercin, Nicolas","contributorId":168294,"corporation":false,"usgs":false,"family":"Clercin","given":"Nicolas","email":"","affiliations":[{"id":17660,"text":"IUPUI (Indiana University-Purdue University at Indianapolis)","active":true,"usgs":false}],"preferred":false,"id":625366,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70162270,"text":"70162270 - 2016 - Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char Salvelinus fontinalis","interactions":[],"lastModifiedDate":"2016-01-20T12:26:57","indexId":"70162270","displayToPublicDate":"2016-01-01T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char Salvelinus fontinalis","docAbstract":"Environmental DNA sampling (eDNA) has emerged as a powerful tool for detecting aquatic animals. Previous research suggests that eDNA methods are substantially more sensitive than traditional sampling. However, the factors influencing eDNA detection and the resulting sampling costs are still not well understood. Here we use multiple experiments to derive independent estimates of eDNA production rates and downstream persistence from brook trout (Salvelinus fontinalis) in streams. We use these estimates to parameterize models comparing the false negative detection rates of eDNA sampling and traditional backpack electrofishing. We find that using the protocols in this study eDNA had reasonable detection probabilities at extremely low animal densities (e.g., probability of detection 0.18 at densities of one fish per stream kilometer) and very high detection probabilities at population-level densities (e.g., probability of detection > 0.99 at densities of ≥ 3 fish per 100 m). This is substantially more sensitive than traditional electrofishing for determining the presence of brook trout and may translate into important cost savings when animals are rare. Our findings are consistent with a growing body of literature showing that eDNA sampling is a powerful tool for the detection of aquatic species, particularly those that are rare and difficult to sample using traditional methods.
","language":"English","publisher":"Elsevier","publisherLocation":"Kidlington, Oxford","doi":"10.1016/j.biocon.2015.12.023","usgsCitation":"Wilcox, T., Mckelvey, K.S., Young, M.K., Sepulveda, A.J., Shepard, B.B., Jane, S., Whiteley, A.R., Lowe, W.H., and Schwartz, M.K., 2016, Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char Salvelinus fontinalis: Biological Conservation, v. 194, p. 209-216, https://doi.org/10.1016/j.biocon.2015.12.023.","productDescription":"8 p.","startPage":"209","endPage":"216","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066118","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471355,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2015.12.023","text":"Publisher Index 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Everglades scientific information with the goal of addressing topics that have hampered restoration since the Comprehensive Everglades Restoration Plan (CERP) was passed in 2000. A distinguishing characteristic of this synthesis effort was that the target end-user was a management/\ndecision-maker audience. Specifically, the aim was to address the questions of the water managers and other decision leaders in a way that would illuminate and inform but not constrain or specify decisions. Since its inception, the SERES Project has been managed by the Everglades Foundation; however, a core group of scientifc experts from agencies, academic institutions, and the private sector have contributed to the project (see list on page 4). We\nbegan the project by interviewing key officials, including resource managers, decision-makers, and heads of agencies and environmental organizations. The objective of these interviews was to establish the Key Science Management Questions that needed to be addressed in order to advance restoration of the Everglades. The resulting questions led to the organization of project teams focused on Hydrology, Water Quality, Soils, Trophic Dynamics, and Landscape\nPattern. In order to establish the technical basis for the project, we conducted in depth reviews of the recent scientifc literature, evaluation tools and models, and available data in each of these core areas. Finally, we developed a suite of restoration options that would aid us in addressing the Key Questions and evaluated their relative performance from hydrological, ecological, and economic perspectives. General fndings of the SERES Project are described in subsequent sections, and technical reviews and results of analyses supporting this document are available in reports on the project website.","language":"English","publisher":"Everglades Foundation","usgsCitation":"Davis, S.E., Beerens, J.M., Borkhataria, R.R., Childers, D.L., Choi, J., Davis, S.M., Fitz, C., Gaiser, E., Henriquez, H., Lodge, T.E., Harvey, J., Marshall, F., McCormick, B., Naja, M., Osborne, T., Ross, M.S., Sah, J., Trexler, J.C., Van Lent, T., and Wetzel, P.R., 2016, Management-driven science synthesis: An evaluation of Everglades restoration trajectories, 60 p.","productDescription":"60 p.","ipdsId":"IP-071537","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":361381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361370,"type":{"id":15,"text":"Index Page"},"url":"https://www.evergladesfoundation.org/our-efforts/reports-papers/"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.8753662109375,\n 25.030861410390447\n ],\n [\n -79.98596191406249,\n 25.030861410390447\n ],\n [\n -79.98596191406249,\n 28.38173504322308\n ],\n [\n -82.8753662109375,\n 28.38173504322308\n ],\n [\n -82.8753662109375,\n 25.030861410390447\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Stephen E","contributorId":213386,"corporation":false,"usgs":false,"family":"Davis","given":"Stephen","email":"","middleInitial":"E","affiliations":[{"id":17761,"text":"Everglades Foundation","active":true,"usgs":false}],"preferred":false,"id":757631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":757630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borkhataria, Rena R.","contributorId":197425,"corporation":false,"usgs":false,"family":"Borkhataria","given":"Rena","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":757632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Childers, Daniel L.","contributorId":201937,"corporation":false,"usgs":false,"family":"Childers","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":757633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Jay","contributorId":213387,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":757634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Steven M","contributorId":213398,"corporation":false,"usgs":false,"family":"Davis","given":"Steven","email":"","middleInitial":"M","affiliations":[{"id":38747,"text":"Ibis Ecosystems Associates, Inc","active":true,"usgs":false}],"preferred":false,"id":757649,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fitz, Carl","contributorId":213388,"corporation":false,"usgs":false,"family":"Fitz","given":"Carl","email":"","affiliations":[{"id":38744,"text":"EcoLandMod, Inc","active":true,"usgs":false}],"preferred":false,"id":757635,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gaiser, Evelyn","contributorId":213389,"corporation":false,"usgs":false,"family":"Gaiser","given":"Evelyn","email":"","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":757636,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Henriquez, Hiram","contributorId":213390,"corporation":false,"usgs":false,"family":"Henriquez","given":"Hiram","email":"","affiliations":[{"id":38745,"text":"H2H Graphics","active":true,"usgs":false}],"preferred":false,"id":757637,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lodge, Thomas E.","contributorId":202430,"corporation":false,"usgs":false,"family":"Lodge","given":"Thomas","email":"","middleInitial":"E.","affiliations":[{"id":36433,"text":"Thomas E. 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Wet ground conditions and dense stands of vegetation in these settings combine to trap eolian, alluvial, and fluvial sediments that accumulate over time. The resulting deposits are collectively called ground-water discharge (GWD) deposits, and contain information on how small desert watersheds responded to climate change in the past. Most GWD studies in the southwestern U.S. have focused on the late Pleistocene because the Holocene was too dry to support the extensive wetland systems that were so pervasive just a few millennia earlier. Here we describe the results of a pilot project that involves coring extant wetlands and analyzing the sedimentology and microfauna of the recovered sediment to infer Holocene hydrologic conditions. In 2011, a series of cores were taken near wetlands situated along the western margin of the Soda Lake basin in the Mojave National Preserve of southern California. The core sediments appear to show that the wetlands responded to the relatively minor climate fluctuations that characterized the Holocene. However, our analysis was limited by relatively low sediment recovery (which only averaged 70-80%) and a general paucity of datable materials in the cores. 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Sample sites include five ports in U.S. waters with less frequent sampling near Goderich, Ontario. The 2015 fall bottom trawl survey was carried out between 14 and 28 October and included all U.S. ports, as well as Goderich, ON. The 2015 main basin prey fish biomass estimate for Lake Huron was 19.4 kilotonnes, a decline of about 50 percent from 2014. This estimate is the second lowest in the time series, and is approximately 5 percent of the maximum estimate in the time series observed in 1987. No adult alewife were collected in 2015 and YOY alewife was the second lowest in the time series, up slightly from the record low in 2014. The estimated biomass of yearling and older rainbow smelt also decreased and was the lowest observed in the time series. Estimated adult bloater biomass in Lake Huron declined to about half of the 2014 estimate. YOY alewife, rainbow smelt, and bloater abundance and biomass decreased over 2014. Biomass estimates for deepwater sculpins declined while trout-perch and ninespine stickleback increased over 2014 values, but all remained low compared to historic estimates. The 2014 biomass estimate for round goby increased from 2014 but remains at only 7 percent of the maximum observed in 2003. Wild juvenile lake trout were captured again in 2015, suggesting that natural reproduction by lake trout continues to occur.
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