{"pageNumber":"312","pageRowStart":"7775","pageSize":"25","recordCount":68839,"records":[{"id":70199114,"text":"70199114 - 2019 - Effects of ferric sulfate and polyaluminum chloride coagulation enhanced treatment wetlands on Typha growth, soil and water chemistry","interactions":[],"lastModifiedDate":"2018-09-05T10:15:04","indexId":"70199114","displayToPublicDate":"2018-09-05T10:14:55","publicationYear":"2019","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}},"displayTitle":"Effects of ferric sulfate and polyaluminum chloride coagulation enhanced treatment wetlands on <i>Typha</i> growth, soil and water chemistry","title":"Effects of ferric sulfate and polyaluminum chloride coagulation enhanced treatment wetlands on Typha growth, soil and water chemistry","docAbstract":"<p><span>Land surface&nbsp;subsidence&nbsp;is a concern in many deltas worldwide as it contributes to water quality degradation, loss of fertile land and increased potential for levee failure. As a possible solution to these concerns, on-site&nbsp;coagulation&nbsp;enhanced&nbsp;treatment wetlands(CETWs), coagulation water treatment followed by&nbsp;wetland&nbsp;passage serving as a settling basin, were implemented in a&nbsp;field-scale&nbsp;study located on a subsided island of the Sacramento-San Joaquin Delta in northern California under three treatments; coagulation with polyaluminum chloride (PAC), coagulation with ferric sulfate and an untreated control. Because CETWs offer a relatively novel solution for&nbsp;water quality improvement&nbsp;and subsidence reversal due to its low-infrastructure requirements and in-situ nature, effects from these systems remain uncharted and they may have adverse effects on&nbsp;plant biomass production&nbsp;that also contribute to sediment&nbsp;accretion. This study focuses on the effect CETWs had on the growth of&nbsp;</span><i>Typha spp</i><span>.; the dominant vegetation in the wetlands. Plant growth parameters and nutrient content were measured in conjunction with soil,&nbsp;pore waterand surface&nbsp;water chemistry.&nbsp;Soil analysis&nbsp;indicated there was no intermixing of newly formed flocs and original soil material. Where there was significant deposition of floc, PAC treatment reduced phosphate concentrations and ferric sulfate treatment increased total Fe concentrations in surrounding water compared to the control. Results indicated coagulation treatments had no negative effects on&nbsp;</span><i>Typha</i><span>&nbsp;leaf nutrient content,&nbsp;</span><i>Typha</i><span>&nbsp;growth or allometric parameters. Additionally, no signs of plant toxicity such as&nbsp;necrosis, wilting or&nbsp;chlorosis&nbsp;were observed in any of the treatments. Overall, this study suggests that CETWs are viable treatment option for water quality improvement and sediment accretion while having no negative impact on the growth of&nbsp;</span><i>Typha</i><span>&nbsp;plants.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.07.341","usgsCitation":"Ling Liang, Y., Kraus, T.E., Silva, L.C., Bachand, P.A., Bachand, S.M., Doane, T.A., and Horwath, W.R., 2019, Effects of ferric sulfate and polyaluminum chloride coagulation enhanced treatment wetlands on Typha growth, soil and water chemistry: Science of the Total Environment, v. 648, p. 116-124, https://doi.org/10.1016/j.scitotenv.2018.07.341.","productDescription":"9 p.","startPage":"116","endPage":"124","ipdsId":"IP-099175","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":460571,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.07.341","text":"Publisher Index Page"},{"id":357071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"648","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a25de4b0702d0e842e38","contributors":{"authors":[{"text":"Ling Liang, Yan 0000-0001-5999-3148","orcid":"https://orcid.org/0000-0001-5999-3148","contributorId":207555,"corporation":false,"usgs":false,"family":"Ling Liang","given":"Yan","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":744150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silva, Lucas C. R. 0000-0002-4838-327X","orcid":"https://orcid.org/0000-0002-4838-327X","contributorId":207556,"corporation":false,"usgs":false,"family":"Silva","given":"Lucas","email":"","middleInitial":"C. R.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":744151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bachand, Philip A. M. 0000-0002-6757-2404","orcid":"https://orcid.org/0000-0002-6757-2404","contributorId":207558,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","middleInitial":"A. M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":744153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachand, Sandra M. 0000-0001-5235-9726","orcid":"https://orcid.org/0000-0001-5235-9726","contributorId":207557,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":744152,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doane, Timothy A.","contributorId":207559,"corporation":false,"usgs":false,"family":"Doane","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":744154,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Horwath, William R. 0000-0003-3707-0697","orcid":"https://orcid.org/0000-0003-3707-0697","contributorId":207560,"corporation":false,"usgs":false,"family":"Horwath","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":744155,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204762,"text":"70204762 - 2019 - Neutral genetic and phenotypic variation within and among isolated headwater Brook Trout populations","interactions":[],"lastModifiedDate":"2020-08-06T20:32:23.350932","indexId":"70204762","displayToPublicDate":"2018-09-04T10:49:15","publicationYear":"2019","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":"Neutral genetic and phenotypic variation within and among isolated headwater Brook Trout populations","docAbstract":"Isolated populations are challenging to manage and conserve as they are particularly vulnerable to genetic drift, allelic fixation, inbreeding, and may express markedly reduced phenotypic variability. We sought to improve our understanding of how spatial isolation, occupancy range, and restricted gene flow influence contemporary phenotypic variation within and among native populations of Brook Trout Salvelinus fontinalis by examining the neutral genetic and phenotypic characteristics of 35 isolated headwater populations from Great Smoky Mountains National Park. Across a suite of 13 neutral microsatellite loci, we observed high levels of allelic fixation and considerable genetic differentiation among populations, subwatersheds, and watersheds that were consistent with patterns of isolation. We observed significant, positive correlations between allelic diversity and estimates of effective population sizes. In contrast, we observed considerably less phenotypic structure among streams, subwatersheds, and watersheds. Much of the phenotypic variation observed occurred among individuals within populations. Pairwise Mann‐Whitney tests revealed no significant phenotypic differences among the populations of Brook Trout we examined. Similarly, we observed no significant relationship between the amount of phenotypic variation within populations and any of the examined measures of genetic diversity or the amount of occupied habitat sampled, which suggests that unmeasured variables may be influencing morphometric and meristic variation within isolated populations. The observed patterns of isolation, genetic drift, and allelic fixation highlight the importance of enhancing population connectivity, but also suggest considerable phenotypic variability may persist within small, fragmented populations. Our results elucidate some challenges associated with managing and conserving isolated populations of Brook Trout, and reinforce the importance of conducting genetic studies on fragmented populations to inform management decisions.","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10115","usgsCitation":"Weathers, T.C., Kazyak, D.C., Stauffer, J.R., Kulp, M.A., Moore, S.E., King, T.L., and Carlson, J., 2019, Neutral genetic and phenotypic variation within and among isolated headwater Brook Trout populations: Transactions of the American Fisheries Society, v. 148, no. 1, p. 58-72, https://doi.org/10.1002/tafs.10115.","productDescription":"15 p.","startPage":"58","endPage":"72","ipdsId":"IP-086603","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":366568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Weathers, T. Casey","contributorId":218129,"corporation":false,"usgs":false,"family":"Weathers","given":"T.","email":"","middleInitial":"Casey","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":768371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":768370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauffer, Jay R. Jr.","contributorId":119700,"corporation":false,"usgs":false,"family":"Stauffer","given":"Jay","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":768372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulp, Matt A.","contributorId":196801,"corporation":false,"usgs":false,"family":"Kulp","given":"Matt","email":"","middleInitial":"A.","affiliations":[{"id":35484,"text":"National Park Service, Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":768373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Steve E.","contributorId":218131,"corporation":false,"usgs":false,"family":"Moore","given":"Steve","email":"","middleInitial":"E.","affiliations":[{"id":39761,"text":"Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":768374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":768375,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carlson, John E.","contributorId":19996,"corporation":false,"usgs":false,"family":"Carlson","given":"John E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":794968,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198981,"text":"70198981 - 2019 - Hypotheses from recent assessments of climate impacts to biodiversity and ecosystems in the United States","interactions":[],"lastModifiedDate":"2020-12-09T13:20:36.69401","indexId":"70198981","displayToPublicDate":"2018-09-02T10:39:53","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hypotheses from recent assessments of climate impacts to biodiversity and ecosystems in the United States","docAbstract":"Climate change poses multiple threats to biodiversity, and has already caused demonstrable impacts. We summarize key results from a recent national assessment of observed climate change impacts to terrestrial, marine, and freshwater ecosystems in the United States, and place results in the context of commonly articulated hypotheses about ecosystem response to climate change for global implications. Specific impacts we consider include: range shifts; phenological shifts; phenotypic changes; primary production changes; biological invasions; and novel communities. Significant effort has been made recently to incorporate adaptation measures into land and water management at both national and international scales, but the scale of impacts and associated uncertainties pose challenges to existing management institutions. Using commonly articulated hypotheses about climate change, biodiversity, and ecosystem response can provide context for informed decisions at multiple scales and can help to provide a clearer understanding of the ecological and mechanistic linkages between climate change and biodiversity.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of climate change and biodiversity","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-98681-4_22","usgsCitation":"Carter, S.L., Lynch, A., Myers, B., Rubenstein, M.A., and Thompson, L.M., 2019, Hypotheses from recent assessments of climate impacts to biodiversity and ecosystems in the United States, chap. <i>of</i> Handbook of climate change and biodiversity, p. 355-375, https://doi.org/10.1007/978-3-319-98681-4_22.","productDescription":"21 p.","startPage":"355","endPage":"375","ipdsId":"IP-093605","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":357018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","scienceBaseUri":"5b98a25ee4b0702d0e842e3a","contributors":{"editors":[{"text":"Filho, Walter Leal","contributorId":147262,"corporation":false,"usgs":false,"family":"Filho","given":"Walter","email":"","middleInitial":"Leal","affiliations":[{"id":33331,"text":"Hamburg University","active":true,"usgs":false}],"preferred":false,"id":744024,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Barbir, Jelena","contributorId":17950,"corporation":false,"usgs":false,"family":"Barbir","given":"Jelena","email":"","affiliations":[],"preferred":false,"id":744025,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Preziosi, Richard","contributorId":94948,"corporation":false,"usgs":false,"family":"Preziosi","given":"Richard","email":"","affiliations":[{"id":25496,"text":"Manchester Metropolitan University","active":true,"usgs":false}],"preferred":false,"id":744026,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Carter, Shawn L. 0000-0002-0045-4681 scarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0045-4681","contributorId":3110,"corporation":false,"usgs":true,"family":"Carter","given":"Shawn","email":"scarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":743623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":743624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myers, Bonnie 0000-0002-3170-2633 bjmyers@usgs.gov","orcid":"https://orcid.org/0000-0002-3170-2633","contributorId":176495,"corporation":false,"usgs":true,"family":"Myers","given":"Bonnie","email":"bjmyers@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":743625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubenstein, Madeleine A. 0000-0001-8569-781X mrubenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":203206,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Madeleine","email":"mrubenstein@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":743626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Laura M. 0000-0002-7884-6001 lthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":5366,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","email":"lthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":743627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202693,"text":"70202693 - 2019 - Automated time-series measurement of microbial concentrations in groundwater-derived water supplies","interactions":[],"lastModifiedDate":"2019-03-19T16:50:47","indexId":"70202693","displayToPublicDate":"2018-08-28T10:27:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Automated time-series measurement of microbial concentrations in groundwater-derived water supplies","docAbstract":"<div class=\"article-section__content en main\"><p><span>Fecal contamination by human and animal pathogens, including viruses, bacteria, and protozoa, is a potential human health hazard, especially with regards to drinking water. Pathogen occurrence in groundwater varies considerably in space and time, which can be difficult to characterize as sampling typically requires hundreds of liters of water to be passed through a filter. Here we describe the design and deployment of an automated sampler suited for hydrogeologically and chemically dynamic groundwater systems. Our design focused on a compact form to facilitate transport and quick deployment to municipal and domestic water supplies. We deployed a sampler to characterize water quality from a household well tapping a shallow fractured dolomite aquifer in northeast Wisconsin. The sampler was deployed from January to April 2017, and monitored temperature, nitrate, chloride, specific conductance, and fluorescent dissolved organic matter on a minute time step; water was directed to sequential microbial filters during three recharge periods that ranged from 5 to 20 days. Results from the automated sampler demonstrate the dynamic nature of the household water quality, especially with regard to microbial targets, which were shown to vary 1 to 2 orders of magnitude during a single sampling event. We believe assessments of pathogen occurrence and concentration, and related assessments of drinking well vulnerability, would be improved by the time‐integrated characterization provided by this sampler.</span></p></div>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12822","usgsCitation":"Owens, D.W., Hunt, R.J., Firnstahl, A.D., Muldoon, M.A., and Borchardt, M.A., 2019, Automated time-series measurement of microbial concentrations in groundwater-derived water supplies: Groundwater, v. 2, no. 57, p. 329-336, https://doi.org/10.1111/gwat.12822.","productDescription":"8 p.","startPage":"329","endPage":"336","ipdsId":"IP-098170","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":460585,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12822","text":"Publisher Index Page"},{"id":437633,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VO1KF9","text":"USGS data release","linkHelpText":"Automated time-series measurement of microbial concentrations in groundwater-derived water supplies"},{"id":362175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"57","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Owens, David W. 0000-0002-3219-9910 dwowens@usgs.gov","orcid":"https://orcid.org/0000-0002-3219-9910","contributorId":198975,"corporation":false,"usgs":true,"family":"Owens","given":"David","email":"dwowens@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":759511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muldoon, Maureen A.","contributorId":198974,"corporation":false,"usgs":false,"family":"Muldoon","given":"Maureen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":759513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":210973,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":38162,"text":"United States Department of Agriculture Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":759514,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198934,"text":"70198934 - 2019 - Amendments fail to hasten biocrust recovery or soil stability at a disturbed dryland sandy site","interactions":[],"lastModifiedDate":"2019-03-15T12:49:18","indexId":"70198934","displayToPublicDate":"2018-08-27T16:21:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Amendments fail to hasten biocrust recovery or soil stability at a disturbed dryland sandy site","docAbstract":"<p><span>In most drylands, biological soil crusts (biocrusts), an assemblage of lichens, bryophytes, fungi, green algae, and cyanobacteria, are critical to healthy ecosystem function. However, they are extremely sensitive to disturbance and attempts to facilitate their recovery have had variable success. In this study, we applied soil amendments designed to improve soil surface stability and accelerate biocrust recovery on an area disturbed by oil/gas exploration vehicles. Treatments included: 1) Control (one time water only); 2) Biocrust‐only: biocrust inoculum + nutrients in water; 3) Polyacrylamide gels (PAM; which are known to stabilize soils) + biocrust inoculum + nutrients in water; 4) Gypsum + biocrust inoculum + nutrients in water; and 5) Saline (NaCl) solution + biocrust inoculum + nutrients in water. Only the NaCl treatment showed any effects on soil properties and these were only short‐term. These effects included an increase in soil strength and a reduction in soil aggregate stability, unsaturated hydraulic conductivity (K</span><sub><i>h</i></sub><span>), and cyanobacterial biomass. The inoculated biocrust material failed to develop and even after 10 years, there was only a very low natural recolonization of the plots. These results show that inoculating soils or applying these levels of soil amendments does not guarantee recovery of soil stability or biocrust, and that some sites are unlikely to recover without assistance. Thus, there is a need for more research into ways to enhance soil stability and identify the factors limiting biocrust establishment.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12870","usgsCitation":"Chandler, D.G., Day, N.K., Madsen, M.D., and Belnap, J., 2019, Amendments fail to hasten biocrust recovery or soil stability at a disturbed dryland sandy site: Restoration Ecology, v. 27, no. 2, p. 289-297, https://doi.org/10.1111/rec.12870.","productDescription":"9 p.","startPage":"289","endPage":"297","ipdsId":"IP-095620","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12870","text":"Publisher Index Page"},{"id":356814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-03","publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842ee6","contributors":{"authors":[{"text":"Chandler, David G.","contributorId":207303,"corporation":false,"usgs":false,"family":"Chandler","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":37516,"text":"Syracuse University, Civil and Environmental Engineering","active":true,"usgs":false}],"preferred":false,"id":743486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Natalie K. 0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madsen, Matthew D.","contributorId":191385,"corporation":false,"usgs":false,"family":"Madsen","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":743487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743485,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203265,"text":"70203265 - 2019 - A comparison of methods for streamflow uncertainty estimation","interactions":[],"lastModifiedDate":"2019-05-02T08:45:15","indexId":"70203265","displayToPublicDate":"2018-08-21T07:20:19","publicationYear":"2019","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":"A comparison of methods for streamflow uncertainty estimation","docAbstract":"<div class=\"article-section__content en main\"><p>Streamflow time series are commonly derived from stage‐discharge rating curves, but the uncertainty of the rating curve and resulting streamflow series are poorly understood. While different methods to quantify uncertainty in the stage‐discharge relationship exist, there is limited understanding of how uncertainty estimates differ between methods due to different assumptions and methodological choices. We compared uncertainty estimates and stage‐discharge rating curves from seven methods at three river locations of varying hydraulic complexity. Comparison of the estimated uncertainties revealed a wide range of estimates, particularly for high and low flows. At the simplest site on the Isère River (France), full width 95% uncertainties for the different methods ranged from 3 to 17% for median flows. In contrast, uncertainties were much higher and ranged from 41 to 200% for high flows in an extrapolated section of the rating curve at the Mahurangi River (New Zealand) and 28 to 101% for low flows at the Taf River (United Kingdom), where the hydraulic control is unstable at low flows. Differences between methods result from differences in the sources of uncertainty considered, differences in the handling of the time‐varying nature of rating curves, differences in the extent of hydraulic knowledge assumed, and differences in assumptions when extrapolating rating curves above or below the observed gaugings. Ultimately, the selection of an uncertainty method requires a match between user requirements and the assumptions made by the uncertainty method. Given the significant differences in uncertainty estimates between methods, we suggest that a clear statement of uncertainty assumptions be presented alongside streamflow uncertainty estimates.</p></div>","language":"English","publisher":"AGU","doi":"10.1029/2018WR022708","usgsCitation":"Kiang, J.E., Gazoorian, C.L., McMillan, H., Coxon, G., Le Coz, J., Westerberg, I., Belleville, A., Sevrez, D., Sikorska, A., Petersen-Overleir, A., Reitan, T., Freer, J., Renard, B., Mansanarez, V., and Mason,, R., 2019, A comparison of methods for streamflow uncertainty estimation: Water Resources Research, v. 54, no. 10, p. 7149-7176, https://doi.org/10.1029/2018WR022708.","productDescription":"28 p.","startPage":"7149","endPage":"7176","ipdsId":"IP-093972","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018wr022708","text":"Publisher Index Page"},{"id":363473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":761951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMillan, Hillary 0000-0002-9330-9730","orcid":"https://orcid.org/0000-0002-9330-9730","contributorId":215266,"corporation":false,"usgs":false,"family":"McMillan","given":"Hillary","email":"","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":761953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coxon, Gemma","contributorId":190753,"corporation":false,"usgs":false,"family":"Coxon","given":"Gemma","email":"","affiliations":[],"preferred":false,"id":761954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le Coz, Jerome","contributorId":190746,"corporation":false,"usgs":false,"family":"Le Coz","given":"Jerome","email":"","affiliations":[],"preferred":false,"id":761955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Westerberg, Ida","contributorId":190748,"corporation":false,"usgs":false,"family":"Westerberg","given":"Ida","email":"","affiliations":[],"preferred":false,"id":761956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belleville, Arnaud 0000-0002-0138-2392","orcid":"https://orcid.org/0000-0002-0138-2392","contributorId":215267,"corporation":false,"usgs":false,"family":"Belleville","given":"Arnaud","email":"","affiliations":[{"id":39219,"text":"EDF-DTG","active":true,"usgs":false}],"preferred":false,"id":761957,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sevrez, Damien 0000-0001-7526-7867","orcid":"https://orcid.org/0000-0001-7526-7867","contributorId":215268,"corporation":false,"usgs":false,"family":"Sevrez","given":"Damien","email":"","affiliations":[{"id":39219,"text":"EDF-DTG","active":true,"usgs":false}],"preferred":false,"id":761958,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sikorska, Anna 0000-0002-5273-1038","orcid":"https://orcid.org/0000-0002-5273-1038","contributorId":215269,"corporation":false,"usgs":false,"family":"Sikorska","given":"Anna","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":761959,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Petersen-Overleir, Asgeir","contributorId":213625,"corporation":false,"usgs":false,"family":"Petersen-Overleir","given":"Asgeir","email":"","affiliations":[{"id":38825,"text":"Market Operations Hydrology, Statkraft Energi AS, Norway","active":true,"usgs":false}],"preferred":false,"id":761960,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reitan, Trond","contributorId":190750,"corporation":false,"usgs":false,"family":"Reitan","given":"Trond","email":"","affiliations":[],"preferred":false,"id":761961,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Freer, Jim","contributorId":190754,"corporation":false,"usgs":false,"family":"Freer","given":"Jim","email":"","affiliations":[],"preferred":false,"id":761962,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Renard, Benjamin","contributorId":177291,"corporation":false,"usgs":false,"family":"Renard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":761963,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mansanarez, Valentin","contributorId":190747,"corporation":false,"usgs":false,"family":"Mansanarez","given":"Valentin","email":"","affiliations":[],"preferred":false,"id":761964,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":176493,"corporation":false,"usgs":true,"family":"Mason,","given":"Robert R.","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":false,"id":761965,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70206990,"text":"70206990 - 2019 - Pressure core analysis of geomechanical and fluid flow properties of seals associated with gas hydrate-bearing reservoirs in the Krishna-Godavari Basin, offshore India","interactions":[],"lastModifiedDate":"2019-12-03T08:31:39","indexId":"70206990","displayToPublicDate":"2018-08-18T08:24:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pressure core analysis of geomechanical and fluid flow properties of seals associated with gas hydrate-bearing reservoirs in the Krishna-Godavari Basin, offshore India","docAbstract":"Physical properties of the sediment directly overlying a gas hydrate reservoir provide important controls on the effectiveness of depressurizing that reservoir to extract methane from gas hydrate as an energy resource.  The permeability of overlying sediment determines if a gas hydrate reservoir’s upper contact will provide an effective seal that enables efficient reservoir depressurization.  Compressibility, stiffness and strength indicate how overlying sediment will deform as the in situ stress changes during production, providing engineering data for well designs.  Assessing these properties requires minimally-disturbed sediment.  India’s National Gas Hydrates Program Expedition 2 (NGHP-02) provided an opportunity to study these seal sediment properties, reducing disturbance from gas exsolution and bubble growth by collecting a pressure core from the seal sediment just above the primary gas hydrate reservoir at Site NGHP-02-08 in Area C of the Krishna-Godavari Basin.  The effective stress chamber (ESC) and the direct shear chamber (DSC) devices in the suite of Pressure Core Characterization Tools (PCCTs) were used to measure permeability, compressibility, stiffness and shear strength at the in situ vertical stress.  Geotechnical properties of the predominantly fine-grained seal layer at in situ vertical stress are in typical clay sediment ranges, with low measured permeability (0.02 mD), high compressibility (Cc = 0.26 – 0.33) and low shear strength (404 kPa).  Though pressure and temperature were maintained throughout the collection and measurement process to stabilize gas hydrate, the lack of effective stress in the pressure core storage chamber and the chamber pressurization with methane-free water caused core expansion and gas hydrate in a thin coarser-grained layer to dissolve.  The PCCTs can reapply in situ stress with incremental loading steps during a consolidation test to account for sediment compaction.  Gas hydrate dissolution can be limited by storing cores just above freezing temperatures, and by using solid spacers to reduce the storage chamber’s free volume.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2018.08.015","usgsCitation":"Jang, J., Dai, S., Yoneda, J., Waite, W., Stern, L.A., Boze, L., Collett, T.S., and Kumar, P., 2019, Pressure core analysis of geomechanical and fluid flow properties of seals associated with gas hydrate-bearing reservoirs in the Krishna-Godavari Basin, offshore India: Marine and Petroleum Geology, v. 108, p. 537-550, https://doi.org/10.1016/j.marpetgeo.2018.08.015.","productDescription":"14 p.","startPage":"537","endPage":"550","ipdsId":"IP-097103","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468108,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1469805","text":"External Repository"},{"id":369853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[77.83745,35.49401],[78.91227,34.32194],[78.81109,33.5062],[79.20889,32.99439],[79.17613,32.48378],[78.45845,32.61816],[78.73889,31.51591],[79.72137,30.88271],[81.11126,30.18348],[80.47672,29.72987],[80.08842,28.79447],[81.0572,28.4161],[81.99999,27.92548],[83.30425,27.36451],[84.67502,27.2349],[85.25178,26.7262],[86.02439,26.63098],[87.22747,26.3979],[88.06024,26.41462],[88.1748,26.81041],[88.04313,27.44582],[88.12044,27.87654],[88.73033,28.08686],[88.81425,27.29932],[88.83564,27.09897],[89.74453,26.7194],[90.37327,26.87572],[91.21751,26.80865],[92.03348,26.83831],[92.10371,27.45261],[91.69666,27.77174],[92.50312,27.89688],[93.41335,28.64063],[94.56599,29.27744],[95.4048,29.03172],[96.11768,29.4528],[96.58659,28.83098],[96.24883,28.41103],[97.32711,28.26158],[97.40256,27.88254],[97.05199,27.69906],[97.134,27.08377],[96.41937,27.26459],[95.12477,26.57357],[95.15515,26.00131],[94.60325,25.1625],[94.55266,24.67524],[94.10674,23.85074],[93.32519,24.07856],[93.28633,23.04366],[93.06029,22.70311],[93.16613,22.27846],[92.67272,22.04124],[92.14603,23.6275],[91.86993,23.62435],[91.70648,22.98526],[91.15896,23.50353],[91.46773,24.07264],[91.91509,24.13041],[92.3762,24.97669],[91.7996,25.14743],[90.87221,25.1326],[89.92069,25.26975],[89.83248,25.96508],[89.35509,26.01441],[88.56305,26.44653],[88.20979,25.76807],[88.93155,25.23869],[88.30637,24.86608],[88.08442,24.50166],[88.69994,24.23371],[88.52977,23.63114],[88.87631,22.87915],[89.03196,22.05571],[88.88877,21.69059],[88.2085,21.70317],[86.9757,21.49556],[87.03317,20.74331],[86.49935,20.15164],[85.06027,19.47858],[83.94101,18.30201],[83.18922,17.67122],[82.19279,17.01664],[82.19124,16.55666],[81.69272,16.31022],[80.792,15.95197],[80.3249,15.89918],[80.02507,15.13641],[80.23327,13.83577],[80.28629,13.00626],[79.86255,12.05622],[79.858,10.35728],[79.34051,10.30885],[78.88535,9.54614],[79.18972,9.21654],[78.27794,8.93305],[77.94117,8.25296],[77.5399,7.96553],[76.59298,8.89928],[76.13006,10.29963],[75.74647,11.30825],[75.3961,11.78125],[74.86482,12.74194],[74.61672,13.99258],[74.44386,14.61722],[73.5342,15.99065],[73.11991,17.92857],[72.82091,19.20823],[72.82448,20.4195],[72.63053,21.35601],[71.17527,20.75744],[70.47046,20.87733],[69.16413,22.0893],[69.64493,22.45077],[69.3496,22.84318],[68.17665,23.69197],[68.8426,24.35913],[71.04324,24.35652],[70.8447,25.2151],[70.28287,25.72223],[70.16893,26.49187],[69.51439,26.94097],[70.6165,27.9892],[71.77767,27.91318],[72.82375,28.96159],[73.45064,29.97641],[74.42138,30.97981],[74.40593,31.69264],[75.25864,32.27111],[74.45156,32.7649],[74.10429,33.44147],[73.74995,34.3177],[74.2402,34.74889],[75.75706,34.50492],[76.87172,34.65354],[77.83745,35.49401]]]},\"properties\":{\"name\":\"India\"}}]}","volume":"108","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jang, Junbong 0000-0001-5500-7558 jjang@usgs.gov","orcid":"https://orcid.org/0000-0001-5500-7558","contributorId":189400,"corporation":false,"usgs":true,"family":"Jang","given":"Junbong","email":"jjang@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dai, Sheng","contributorId":213194,"corporation":false,"usgs":false,"family":"Dai","given":"Sheng","email":"","affiliations":[{"id":38715,"text":"Georgia Institute of Technology, Atlanta, GA","active":true,"usgs":false}],"preferred":false,"id":776533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yoneda, J.","contributorId":195813,"corporation":false,"usgs":false,"family":"Yoneda","given":"J.","email":"","affiliations":[],"preferred":false,"id":776534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stern, Laura A. 0000-0003-3440-5674 lstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":1197,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"lstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":776536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boze, Lee-Gray 0000-0003-1853-7888 lboze@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-7888","contributorId":220996,"corporation":false,"usgs":true,"family":"Boze","given":"Lee-Gray","email":"lboze@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776537,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776538,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kumar, Pushpendra","contributorId":212239,"corporation":false,"usgs":false,"family":"Kumar","given":"Pushpendra","affiliations":[{"id":38465,"text":"Oil and Natural Gas Corp. Panvel, Navi Mumbai, India","active":true,"usgs":false}],"preferred":false,"id":776539,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203045,"text":"70203045 - 2019 - Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health","interactions":[],"lastModifiedDate":"2019-04-15T11:06:56","indexId":"70203045","displayToPublicDate":"2018-08-15T11:06:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health","docAbstract":"Widespread hydrologic alteration creates a need for tools to assess ecological impacts to streams that can be applied across large geographic scales. A regional framework for biologically based flow management can help catchment managers prioritise streams for protection, evaluate impacts of disturbance or interventions and provide a starting point for causal assessment in degraded streams. However, lack of flow data limit the ability to assess hydrologic conditions across a region.\nHydrologic models can address this problem. Regionally calibrated hydrologic models were used to estimate current and reference flows at 572 bioassessment sites in southern and central coastal California. Flow alteration was characterised as the difference in 39 flow metrics calculated from simulations of present‐day and reference flow time‐series, calculated under up to four precipitation conditions.\nBiological condition was assessed with the California Stream Condition Index (CSCI) and its components. Logistic regressions were used to predict the likelihood of high scores (i.e. ≥10th percentile of the CSCI reference calibration data). Statistically significant relationships between increasing severity of hydrologic alteration and decreasing biological condition were used to set thresholds that reflected tolerance for risk of a stakeholder advisory group.\nAn index of hydrologic alteration was created by selecting flow metrics based on their importance for predicting biological response variables in boosted regression tree models. Metrics were selected in the order of decreasing importance, and no more than two metrics per metric class were selected (i.e. duration, frequency, magnitude, timing and variability). Seven metrics were selected: HighDur (duration of high‐flow events), HighNum (# of high‐flow events), NoDisturb (duration between high‐ or low‐flow events), MaxMonthQ (maximum monthly discharge), Q99 (99th percentile of daily streamflow), QmaxIDR (interdecile range of annual maxima) and RBI (Richards–Baker Index).\nApplying the index to data from a probabilistic survey, 34% of stream‐miles in southern California were estimated to be hydrologically altered. One of four management priorities were assigned to each site based on biological condition and hydrologic status: protection (healthy and unaltered, 52% of stream‐miles), monitoring (healthy but altered 4%), evaluation of flow management (unhealthy and altered, 30%) and evaluation of other management (unhealthy but unaltered, 14%).\nRegionally derived biologically based targets for flow alteration allow catchment managers to prioritise activities and conduct screenings for causal assessments across large spatial scales. Furthermore, regional tools pave the way for incorporation of hydrologic management in policies and catchment planning designed to support biological integrity in streams. Development of regional tools should be a priority where hydrologic alteration is pervasive or expected to increase in response to climate change or urbanisation.","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13062","usgsCitation":"Mazor, R.D., May, J.T., Sengupta, A., McCune, K.S., Bledsoe, B.P., and Stein, E.D., 2019, Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health: Freshwater Biology, v. 63, no. 8, p. 786-803, https://doi.org/10.1111/fwb.13062.","productDescription":"18 p.","startPage":"786","endPage":"803","ipdsId":"IP-083790","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":362952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"8","edition":"Special","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Mazor, Raphael D.","contributorId":173011,"corporation":false,"usgs":false,"family":"Mazor","given":"Raphael","email":"","middleInitial":"D.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":760925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sengupta, Ashmita","contributorId":214836,"corporation":false,"usgs":false,"family":"Sengupta","given":"Ashmita","email":"","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCune, Kenneth S.","contributorId":214837,"corporation":false,"usgs":false,"family":"McCune","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bledsoe, Brian P.","contributorId":140605,"corporation":false,"usgs":false,"family":"Bledsoe","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":13538,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":760928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stein, Eric D.","contributorId":198848,"corporation":false,"usgs":false,"family":"Stein","given":"Eric","email":"","middleInitial":"D.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198554,"text":"70198554 - 2019 - Tracing the cycling and fate of the munition, Hexahydro-1,3,5-trinitro-1,3,5-triazine in a simulated sandy coastal marine habitat with a stable isotopic tracer, 15N-[RDX]","interactions":[],"lastModifiedDate":"2018-08-07T16:02:29","indexId":"70198554","displayToPublicDate":"2018-08-06T16:02:24","publicationYear":"2019","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}},"displayTitle":"Tracing the cycling and fate of the munition, Hexahydro-1,3,5-trinitro-1,3,5-triazine in a simulated sandy coastal marine habitat with a stable isotopic tracer, <sup>15</sup>N-[RDX]","title":"Tracing the cycling and fate of the munition, Hexahydro-1,3,5-trinitro-1,3,5-triazine in a simulated sandy coastal marine habitat with a stable isotopic tracer, 15N-[RDX]","docAbstract":"<p><span>Coastal&nbsp;marine habitats&nbsp;become contaminated with the munitions constituent, Hexahydro-1,3,5-trinitro-1,3,5-trazine (RDX), via military training, weapon testing and leakage of unexploded ordnance. This study used&nbsp;</span><sup>15</sup><span>N labeled RDX in simulated aquarium-scale coastal marine habitat containing seawater, sediment, and biota to track removal pathways from surface water including&nbsp;sorption&nbsp;onto particulates, degradation to nitroso-triazines and mineralization to&nbsp;dissolved inorganic nitrogen&nbsp;(DIN). The two aquaria received continuous RDX inputs to maintain a steady state concentration (0.4 mg L</span><sup>−1</sup><span>) over 21 days. Time series RDX and nitroso-triazine concentrations in dissolved (surface and porewater) and sorbed phases (sediment and suspended particulates) were analyzed. Distributions of DIN species (ammonium, nitrate + nitrite&nbsp;and dissolved N</span><sub>2</sub><span>) in sediments and overlying water were also measured along with geochemical variables in the aquaria. Partitioning of RDX and RDX-derived breakdown products onto surface sediment represented 13% of the total added&nbsp;</span><sup>15</sup><span>N as RDX (</span><sup>15</sup><span>N-[RDX]) equivalents after 21 days. Measured nitroso-triazines in the aquaria accounted for 6–13% of total added&nbsp;</span><sup>15</sup><span>N-[RDX].&nbsp;</span><sup>15</sup><span>N-labeled DIN was found both in the oxic surface water and hypoxic porewaters, showing that RDX mineralization accounted for 34% of the&nbsp;</span><sup>15</sup><span>N-[RDX] added to the aquaria over 21 days. Labeled&nbsp;ammonium&nbsp;(</span><sup>15</sup><span>NH</span><sub>4</sub><sup>+</sup><span>, found in sediment and overlying water) and nitrate + nitrite (</span><sup>15</sup><span>NO</span><sub>X</sub><span>, found in overlying water only) together represented 10% of the total added&nbsp;</span><sup>15</sup><span>N-[RDX]. The production of&nbsp;</span><sup>15</sup><span>N labeled N</span><sub>2</sub><span>(</span><sup>15</sup><span>N</span><sub>2</sub><span>), accounted for the largest individual sink during the transformation of the total added&nbsp;</span><sup>15</sup><span>N-[RDX] (25%). Hypoxic sediment was the most favorable zone for production of N</span><sub>2</sub><span>, most of which diffused through porous sediments into the water column and escaped to the atmosphere.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.07.404","usgsCitation":"Ariyarathna, T., Ballentine, M., Vlahos, P., Smith, R.W., Cooper, C., Bohlke, J., Fallis, S., Groshens, T.J., and Tobias, C.R., 2019, Tracing the cycling and fate of the munition, Hexahydro-1,3,5-trinitro-1,3,5-triazine in a simulated sandy coastal marine habitat with a stable isotopic tracer, 15N-[RDX]: Science of the Total Environment, v. 647, p. 369-378, https://doi.org/10.1016/j.scitotenv.2018.07.404.","productDescription":"10 p.","startPage":"369","endPage":"378","ipdsId":"IP-097802","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460589,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.07.404","text":"Publisher Index Page"},{"id":356310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"647","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3bbe4b0f5d57878e8cf","contributors":{"authors":[{"text":"Ariyarathna, Thivanka","contributorId":191278,"corporation":false,"usgs":false,"family":"Ariyarathna","given":"Thivanka","email":"","affiliations":[],"preferred":false,"id":741885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballentine, Mark","contributorId":191279,"corporation":false,"usgs":false,"family":"Ballentine","given":"Mark","email":"","affiliations":[],"preferred":false,"id":741886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vlahos, Penny","contributorId":191277,"corporation":false,"usgs":false,"family":"Vlahos","given":"Penny","email":"","affiliations":[],"preferred":false,"id":741887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Richard W.","contributorId":191276,"corporation":false,"usgs":false,"family":"Smith","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":741888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, Christopher","contributorId":191280,"corporation":false,"usgs":false,"family":"Cooper","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":741889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":741884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fallis, Stephen","contributorId":191281,"corporation":false,"usgs":false,"family":"Fallis","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":741890,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Groshens, Thomas J.","contributorId":191282,"corporation":false,"usgs":false,"family":"Groshens","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741891,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tobias, Craig R.","contributorId":194058,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":741892,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70204440,"text":"70204440 - 2019 - Landscape structure and temporal dynamic effects on Wintering Mallard abundance and distributions in the Mississippi alluvial valley","interactions":[],"lastModifiedDate":"2019-07-26T10:25:40","indexId":"70204440","displayToPublicDate":"2018-08-01T12:54:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape structure and temporal dynamic effects on Wintering Mallard abundance and distributions in the Mississippi alluvial valley","docAbstract":"Context Management of wintering waterfowl in North America requires adaptability because constant landscape and environmental change challenges existing management strategies regarding waterfowl habitat use at large spatial scales. Migratory waterfowl including mallards (Anas platyrhynchos) use the lower Mississippi Alluvial Valley (MAV) for wintering habitat, making this an important area of emphasis for improving wetland conservation strategies, while enhancing the understanding of landscape-use patterns.\nObjectives We used aerial survey data collected in the Arkansas portion of the MAV (ARMAV) to explain the abundance and distribution of mallards in relation to variable landscape conditions.\nMethods We used two-stage, hierarchical spatio-temporal models with a random spatial effect to identify covariates related to changes in mallard abundance and distribution within and among years.\nResults We found distinct spatio-temporal patterns existed for mallard distributions across the ARMAV and these distributions are dependent on the surrounding landscape structure and changing environmental conditions. Models performing best indicated seasonal surface water extent, rice field, wetland and fallow (uncultivated) field abundance positively influenced mallard distribution. Rice fields, surface water and weather were found to influence mallard abundance. Additionally, are results suggest weather and changing surface water affects mallard presence and abundance throughout the winter, because the probability of mallard presence and abundance changed from the northern ARMAV in November to the southern ARMAV in January.  \nConclusions Using novel datasets to identify which environmental factors drive changes in regional wildlife distribution and abundance can improve management by providing managers additional information to manage land over landscapes spanning private and public lands. We suggest our analytical approach may be informative in other areas and for other wildlife species.","language":"English","publisher":"Springer","doi":"10.1007/s10980-018-0671-7","usgsCitation":"Herbert, J.A., Chakraborty, A., Naylor, L.W., Beattty, W.S., and Krementz, D.G., 2019, Landscape structure and temporal dynamic effects on Wintering Mallard abundance and distributions in the Mississippi alluvial valley: Landscape Ecology, v. 33, no. 8, p. 1319-1334, https://doi.org/10.1007/s10980-018-0671-7.","productDescription":"16 p.","startPage":"1319","endPage":"1334","ipdsId":"IP-083954","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":365952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70203204,"text":"70203204 - 2019 - Recent advances in environmental flows science and water management—Innovation in the Anthropocene","interactions":[],"lastModifiedDate":"2019-04-29T08:36:56","indexId":"70203204","displayToPublicDate":"2018-08-01T08:36:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Recent advances in environmental flows science and water management—Innovation in the Anthropocene","docAbstract":"<ol class=\"\"><li>The implementation of environmental flow regimes offers a promising means to protect and restore riverine, wetland and estuarine ecosystems, their critical environmental services and cultural/societal values.</li><li>This Special Issue expands the scope of environmental flows and water science in theory and practice, offering 20 papers from academics, agency researchers and non‐governmental organisations, each with fresh perspectives on the science and management of environmental water allocations.</li><li>Contributions confront the grand challenge for environmental flows and water management in the Anthropocene—the urgent need for innovations that will help to sustain the innate resilience of social–ecological systems under dynamic and uncertain environmental and societal futures.</li><li>Basin‐scale and regional assessments of flow requirements mark a necessary advance in environmental water science in the face of rapid changes in water‐resource management activities worldwide (e.g. increases in dams, diversions, retention and reuse). Techniques for regional‐scale hydrological and ecohydrological modelling support ecological risk assessment and identification of priority flow management and river restoration actions.</li><li>Changing flood–drought cycles, long‐term climatic shifts and associated effects on hydrological, thermal and water quality regimes add enormous uncertainty to the prediction of future ecological outcomes, regardless of environmental water allocations. An improved capacity to predict the trajectories of ecological change in rivers degraded by legacies of past impact interacting with current conditions and future climate change is essential. Otherwise, we risk unrealistic expectations from restoration of river and estuarine flow regimes.</li><li>A more robust, dynamic and predictive approach to environmental water science is emerging. It encourages the measurement of process rates (e.g. birth rate, colonisation rate) and species traits (e.g. physiological requirements, morphological adaptations) as well as ecosystem states (e.g. species richness, assemblage structure), as the variables representing ecological responses to flow variability and environmental water allocations. Another necessary development is the incorporation of other environmental variables such as water temperature and sedimentary processes in flow–ecological response models.</li><li>Based on contributions to this Special Issue, several recent compilations and the wider literature, we identify six major scientific challenges for further exploration, and seven themes for advancing the management of environmental water. We see the emerging frontier of environmental flows and water science as urgent and challenging, with numerous opportunities for reinvigorated science and methodological innovation in the expanding enterprise of environmental water linked to ecological sustainability and social well‐being.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13108","usgsCitation":"Angela H Arthington, Kennen, J., Eric D. Stein, and J. Angus Webb, 2019, Recent advances in environmental flows science and water management—Innovation in the Anthropocene: Freshwater Biology, v. 63, no. 8, p. 1022-1034, https://doi.org/10.1111/fwb.13108.","productDescription":"13 p.","startPage":"1022","endPage":"1034","ipdsId":"IP-091888","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":468113,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.13108","text":"Publisher Index Page"},{"id":363284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Angela H Arthington","contributorId":215103,"corporation":false,"usgs":false,"family":"Angela H Arthington","affiliations":[{"id":39176,"text":"Australian Rivers Institute, Griffith University, Nathan, Queensland 4111, Australia","active":true,"usgs":false}],"preferred":false,"id":761637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan","contributorId":215102,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eric D. Stein","contributorId":215089,"corporation":false,"usgs":false,"family":"Eric D. Stein","affiliations":[{"id":39174,"text":"Southern California Coastal Water Research Project, 3535 Harbor Blvd., Suite 110, Costa Mesa, CA  92626-1437, United States","active":true,"usgs":false}],"preferred":false,"id":761638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"J. Angus Webb","contributorId":215090,"corporation":false,"usgs":false,"family":"J. Angus Webb","affiliations":[{"id":39175,"text":"The University of Melbourne, Department of Infrastructure Engineering, Parkville 3010, Australia","active":true,"usgs":false}],"preferred":false,"id":761639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205643,"text":"70205643 - 2019 - The multiple-comparison trap and the Raven’s paradox—perils of using null hypothesis testing in environmental assessment","interactions":[],"lastModifiedDate":"2019-10-02T16:41:59","indexId":"70205643","displayToPublicDate":"2018-07-31T11:02:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"The multiple-comparison trap and the Raven’s paradox—perils of using null hypothesis testing in environmental assessment","docAbstract":"Detecting and quantifying environmental thresholds is frequently an important step in understanding ecological responses to environmental stressors. We discuss two statistical issues often encountered in threshold detection and quantification when statistical null hypothesis testing is used as a main analytical tool.The hidden multiple-comparison trap (leading to a much higher risk of a false detection) and Raven’s paradox(rendering a \"detection\" meaningless) are often obscured when statistical hypothesis testing is used as part of a more elaborate model, especially models based on computer-intensive methods. Using two examples, we show that the hidden multiple-comparison trap can be exposed using computer simulation to estimate the probability of making a false detection; Raven’s paradox can be avoided by clearly stating the null and alternative hypotheses using scientific terms to substantiate that the rejection of the null is equivalent to proving that the alternative of interest is true. The hidden multiple-comparison trap implies that a null hypothesis testing based on a computer-intensive method should be used with caution. The implication of Raven’s paradox re-quires that we focus on providing evidence supporting the proposed hypothesis or model, rather than seeking evidence against the frequently irrelevant null hypothesis. These two problems, and many others related to null hypothesis testing, suggest that statistical hypothesis testing should be used only as a component of the body of evidence, perhaps, as the devil’s advocate.","language":"English","publisher":"Springer International Publishing AG","doi":"10.1007/s10661-018-6793-1","usgsCitation":"Qian, S.S., and Cuffney, T.F., 2019, The multiple-comparison trap and the Raven’s paradox—perils of using null hypothesis testing in environmental assessment: Environmental Monitoring and Assessment, v. 190, no. 7, 409, 9 p., https://doi.org/10.1007/s10661-018-6793-1.","productDescription":"409, 9 p.","onlineOnly":"N","ipdsId":"IP-083969","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":367915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"190","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":771962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":205649,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771961,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70199205,"text":"70199205 - 2019 - Landscape pivot points and responses to water balance in national parks of the southwest US","interactions":[],"lastModifiedDate":"2019-01-28T09:23:40","indexId":"70199205","displayToPublicDate":"2018-07-23T12:42:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape pivot points and responses to water balance in national parks of the southwest US","docAbstract":"<ol class=\"\"><li><p>A recent drying trend that is expected to continue in the southwestern US underscores the need for site‐specific and near real‐time understanding of vegetation vulnerability so that land management actions can be implemented at the right time and place.</p></li><li><p>We related the annual integrated normalized difference vegetation index (iNDVI), a proxy for vegetation production, to water balance across landscapes of the Colorado Plateau. We determined how changes in production per unit of water (vegetation responses) and the water balance amounts at which production shifted from above to below average values (pivot points), varied across dominant vegetation and soil types.</p></li><li><p>Precipitation (PRCP), actual evapotranspiration (AET), water deficit (<i>D</i>), and soil moisture (SM) explained 13%–82% of variation in vegetation production. Along an increasing water availability gradient, vegetation responses to PRCP and AET increased, responses to SM decreased, and responses to<span>&nbsp;</span><i>D</i><span>&nbsp;</span>became more negative. We found trade‐offs between vegetation responses and pivot points within and across all vegetation types that were mediated by soil properties.</p></li><li><p><i>Synthesis and applications</i>. The water needed by native vegetation to maintain production depends on plant traits. The water available to vegetation depends on climate and soil properties that change along environmental gradients. Tracking this biologically relevant water availability in relation to water need provides an indicator of vegetation growth or stress that can help guide the time and place for management actions.</p></li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13250","usgsCitation":"Thoma, D.P., Munson, S.M., and Witwicki, D.L., 2019, Landscape pivot points and responses to water balance in national parks of the southwest US: Journal of Applied Ecology, v. 56, no. 1, p. 157-167, https://doi.org/10.1111/1365-2664.13250.","productDescription":"11 p.","startPage":"157","endPage":"167","ipdsId":"IP-093619","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460595,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13250","text":"Publisher Index Page"},{"id":357201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Arches National Park, Black Canyon of the Gunnison National Park, Canyonlands National Park, Capitol Reef National Park, Curecanti National Recreation Area, Dinosaur National Monument, Zion National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.389892578125,\n              37.16907157713011\n            ],\n            [\n              -106.92993164062499,\n              37.16907157713011\n            ],\n            [\n              -106.92993164062499,\n              40.68063802521456\n            ],\n            [\n              -113.389892578125,\n              40.68063802521456\n            ],\n            [\n              -113.389892578125,\n              37.16907157713011\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-05","publicationStatus":"PW","scienceBaseUri":"5b98a297e4b0702d0e842f87","contributors":{"authors":[{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":744656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":744655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witwicki, Dana L.","contributorId":207763,"corporation":false,"usgs":false,"family":"Witwicki","given":"Dana","email":"","middleInitial":"L.","affiliations":[{"id":37628,"text":"National Park Service Inventory and Monitoring Program, P.O. Box 848, Moab, UT 84532, USA","active":true,"usgs":false}],"preferred":false,"id":744657,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216091,"text":"70216091 - 2019 - Macroinvertebrate sensitivity thresholds for sediment in Virginia streams","interactions":[],"lastModifiedDate":"2020-11-05T15:09:49.728379","indexId":"70216091","displayToPublicDate":"2018-07-19T09:03:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Macroinvertebrate sensitivity thresholds for sediment in Virginia streams","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Sediment is the most commonly identified pollutant associated with macroinvertebrate community impairments in freshwater streams nationwide. Management of this physical stressor is complicated by the multiple measures of sediment available (e.g., suspended, dissolved, bedded) and the variability in natural “healthy” sediment loadings across ecoregions. Here we examine the relative importance of 9 sediment parameters on macroinvertebrate community health as measured by the Virginia Stream Condition Index (VSCI) across 5 ecoregions. In combination, sediment parameters explained 27.4% of variance in the VSCI in a multiregion data set and from 20.2% to 76.4% of variance for individual ecoregions. Bedded sediment parameters had a stronger influence on VSCI than did dissolved or suspended parameters in the multiregion assessment. However, assessments of individual ecoregions revealed conductivity had a key influence on VSCI in the Central Appalachian, Northern Piedmont and Piedmont ecoregions. In no case was a single sediment parameter sufficient to predict VSCI scores or individual biological metrics. Given the identification of embeddedness and conductivity as key parameters for predicting biological condition, we developed family‐level sensitivity thresholds for these parameters, based on extirpation. Resulting thresholds for embeddedness were 68% for combined ecoregions, 65% for the Mountain bioregion (composed of Central Appalachian, Ridge and Valley, and Blue Ridge ecoregions), and 88% for the Piedmont bioregion (composed of Northern Piedmont and Piedmont ecoregions). Thresholds for conductivity were 366 μS/cm for combined ecoregions, 391 μS/cm for the Mountain bioregion, and 136 μS/cm for the Piedmont bioregion. These thresholds may help water quality professionals identify impaired and at‐risk waters designated to support aquatic life and develop regional strategies to manage sediment‐impaired streams. Inclusion of embeddedness as a restoration endpoint may be warranted; this could be facilitated by application of more quantitative, less time‐intensive measurement approaches. We encourage refinement of thresholds as additional data and genus‐based metrics become available.<span>&nbsp;</span><i>Integr Environ Assess Manag</i><span>&nbsp;</span>2019;15:77–92. Published 2018. This article has been contributed to by US Government employees and their work is in the public domain in the USA.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ieam.4086","usgsCitation":"Govenor, H., Krometis, L.A., Willis, L., Angermeier, P.L., and Hession, W.C., 2019, Macroinvertebrate sensitivity thresholds for sediment in Virginia streams: Integrated Environmental Assessment and Management, v. 15, no. 1, p. 77-92, https://doi.org/10.1002/ieam.4086.","productDescription":"16 p.","startPage":"77","endPage":"92","ipdsId":"IP-094435","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":460597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4086","text":"Publisher Index Page"},{"id":380193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Govenor, Heather","contributorId":244545,"corporation":false,"usgs":false,"family":"Govenor","given":"Heather","email":"","affiliations":[],"preferred":false,"id":804144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krometis, Leigh Anne H.","contributorId":244546,"corporation":false,"usgs":false,"family":"Krometis","given":"Leigh","email":"","middleInitial":"Anne H.","affiliations":[],"preferred":false,"id":804145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willis, Lawrence","contributorId":244547,"corporation":false,"usgs":false,"family":"Willis","given":"Lawrence","email":"","affiliations":[],"preferred":false,"id":804146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":804147,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hession, W. Cully","contributorId":244548,"corporation":false,"usgs":false,"family":"Hession","given":"W.","email":"","middleInitial":"Cully","affiliations":[],"preferred":false,"id":804148,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203545,"text":"70203545 - 2019 - Effects of elevated temperature on osmoregulation and stress responses in Atlantic salmon (Salmo salar) smolts in freshwater and seawater","interactions":[],"lastModifiedDate":"2019-05-21T13:28:47","indexId":"70203545","displayToPublicDate":"2018-06-28T13:27:44","publicationYear":"2019","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}},"title":"Effects of elevated temperature on osmoregulation and stress responses in Atlantic salmon (Salmo salar) smolts in freshwater and seawater","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Smolting in Atlantic salmon<span>&nbsp;</span><i>Salmo salar</i><span>&nbsp;</span>is a critical life‐history stage that is preparatory for downstream migration and entry to seawater that is regulated by abiotic variables including photoperiod and temperature. The present study was undertaken to determine the interaction of temperature and salinity on salinity tolerance, gill osmoregulatory proteins and cellular and endocrine stress in<span>&nbsp;</span><i>S. salar</i><span>&nbsp;</span>smolts. Fish were exposed to rapid changes in temperature (from 14 to 17, 20 and 24°C) in fresh water (FW) and seawater (SW), with and without prior acclimation and sampled after 2 and 8 days. Fish exposed simultaneously to SW and 24°C experienced 100% mortality, whereas no mortality occurred in any of the other groups. The highest temperature also resulted in poor ion regulation in SW with or without prior SW acclimation, whereas no substantial effect was observed in FW. Gill Na<sup>+</sup>–K<sup>+</sup>‐ATPase (NKA) activity increased in SW fish compared to FW fish and decreased with high temperature in both FW and SW. Gill Nkaα1a abundance was high in FW and Nkaα1b and Na<sup>+</sup>–K<sup>+</sup>‐2Cl‐ cotransporter high in SW, but all three were lower at the highest temperature. Gill Hsp70 levels were elevated in FW and SW at the highest temperature and increased with increasing temperature 2 days following direct transfer to SW. Plasma cortisol levels were elevated in SW at the highest temperature. Our results indicate that there is an important interaction of salinity and elevated temperature on osmoregulatory performance and the cellular stress response in<span>&nbsp;</span><i>S. salar</i>, with an apparent threshold for osmoregulatory failure in SW above 20°C.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13683","usgsCitation":"Vargas-Chacoff, L., Regish, A.M., Weinstock, A., and McCormick, S.D., 2019, Effects of elevated temperature on osmoregulation and stress responses in Atlantic salmon (Salmo salar) smolts in freshwater and seawater: Journal of Fish Biology, v. 93, no. 3, p. 550-559, https://doi.org/10.1111/jfb.13683.","productDescription":"10 p.","startPage":"550","endPage":"559","ipdsId":"IP-097226","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":364056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Vargas-Chacoff, Luis","contributorId":215729,"corporation":false,"usgs":false,"family":"Vargas-Chacoff","given":"Luis","email":"","affiliations":[{"id":39306,"text":"Universidad Austral de Chile, Valdivia, Chile","active":true,"usgs":false}],"preferred":false,"id":763091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regish, Amy M. 0000-0003-4747-4265 aregish@usgs.gov","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":5415,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"aregish@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":763092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weinstock, Andrew","contributorId":215730,"corporation":false,"usgs":false,"family":"Weinstock","given":"Andrew","email":"","affiliations":[{"id":39307,"text":"New York State","active":true,"usgs":false}],"preferred":false,"id":763093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":763090,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203751,"text":"70203751 - 2019 - Scale dependence of diversity in alpine tundra, Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2019-06-07T15:57:50","indexId":"70203751","displayToPublicDate":"2018-06-23T15:49:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Scale dependence of diversity in alpine tundra, Rocky Mountains, USA","docAbstract":"Drivers of alpine plant community composition have been observed to vary with scale.  Diversity of alpine tundra across four regions of the Rocky Mountains and among plots within one region was examined relative to temperature and precipitation variables.  For regional scale analyses, averages of three metrics of plot-level species diversity relative to environmental variables and regional gamma diversity were examined for a subset of 60 plots from a stratified random sample in each region.  For local scale analyses, additional soil and climate variables were included at 96 plots from one of the four regions.  Correlations and visual examination of bivariate plots elucidated possible controls of cold temperatures and gamma diversity on average diversity metrics among the four regions and of precipitation and/or location on plot-level metrics within the single region.  For the latter, the bivariate graph indicated a triangular distribution in which all levels of diversity exist at low precipitation but only low diversity at higher precipitation.  We propose that change in drivers with scale is a general result of the relative importance of temperature and water in seed production (temperature > water) and seedling establishment (vice versa) and the logical priority of seed production over seedling establishment.","language":"English","publisher":"Springer","doi":"10.1007/s11258-018-0852-0","usgsCitation":"Malanson, G.P., Fagre, D.B., and Zimmerman, D.L., 2019, Scale dependence of diversity in alpine tundra, Rocky Mountains, USA: Plant Ecology, v. 219, no. 8, p. 999-1008, https://doi.org/10.1007/s11258-018-0852-0.","productDescription":"10 p.","startPage":"999","endPage":"1008","ipdsId":"IP-092228","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":364529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Montana, New Mexico, Wyoming","otherGeospatial":"Beartooth Range, Indian Peaks Area,  Rocky Mountains, ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.16894531249999,\n              48.80686346108517\n            ],\n            [\n              -107.22656249999999,\n              36.4566360115962\n            ],\n            [\n              -104.94140625,\n              35.53222622770337\n            ],\n            [\n              -105.29296874999999,\n              39.095962936305476\n            ],\n            [\n              -107.138671875,\n              44.213709909702054\n            ],\n            [\n              -114.9169921875,\n              48.83579746243093\n            ],\n            [\n              -118.16894531249999,\n              48.80686346108517\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"219","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Malanson, George P.","contributorId":189162,"corporation":false,"usgs":false,"family":"Malanson","given":"George","email":"","middleInitial":"P.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":763955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":763954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Dale L.","contributorId":166811,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Dale","email":"","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":763956,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203035,"text":"70203035 - 2019 - Monitoring brine contamination using time-lapse airborne electromagnetic surveys, East Poplar Oil Field, Montana","interactions":[],"lastModifiedDate":"2019-04-17T09:34:03","indexId":"70203035","displayToPublicDate":"2018-06-14T09:33:41","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Monitoring brine contamination using time-lapse airborne electromagnetic surveys, East Poplar Oil Field, Montana","docAbstract":"<p>Integrated geophysical and water-quality studies have been used to delineate areas of saline groundwater in shallow unconfined aquifers underlying the East Poplar oil field in northeastern Montana. In 2004, a RESOLVE survey was conducted over the oil field to identify high conductivity areas potentially associated with brine contamination and to map the shale unit comprising the base of aquifer. In 2014, a SkyTEM 301 survey was conducted over the same flight paths to examine possible changes in groundwater conductivity and to complete the base-of-aquifer mapping where the depth of investigation from the 2004 survey was inadequate. We present a preliminary comparison between the 2004 and 2014 surveys. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"7th annual conference on airborne electromagnetics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"7th annual conference on airborne electromagnetics","conferenceDate":"June 17-20, 2018","conferenceLocation":"Kolding, Denmark","language":"English","publisher":"AEM","usgsCitation":"Ball, L., Deszcz-Pan, M., Thamke, J., and Smith, B., 2019, Monitoring brine contamination using time-lapse airborne electromagnetic surveys, East Poplar Oil Field, Montana, <i>in</i> 7th annual conference on airborne electromagnetics, Kolding, Denmark, June 17-20, 2018.","ipdsId":"IP-095182","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":362998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362997,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.conferencemanager.dk/AEM2018/abstracts-presentations-posters.html"}],"country":"United States","state":"Montana","otherGeospatial":"East Poplar Oil Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.2435302734375,\n              48.028509034432986\n            ],\n            [\n              -104.8809814453125,\n              48.028509034432986\n            ],\n            [\n              -104.8809814453125,\n              48.439223211480595\n            ],\n            [\n              -105.2435302734375,\n              48.439223211480595\n            ],\n            [\n              -105.2435302734375,\n              48.028509034432986\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ball, Lyndsay 0000-0002-6356-4693","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":214821,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":760887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deszcz-Pan, Maria 0000-0002-6298-5314","orcid":"https://orcid.org/0000-0002-6298-5314","contributorId":214822,"corporation":false,"usgs":true,"family":"Deszcz-Pan","given":"Maria","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":760888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thamke, Joanna 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":214823,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna","email":"jothamke@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Bruce 0000-0002-1643-2997","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":214824,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":760890,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197621,"text":"70197621 - 2019 - Historical sediment mercury deposition for select South Dakota, USA, lakes: implications for watershed transport and flooding","interactions":[],"lastModifiedDate":"2019-01-28T09:33:25","indexId":"70197621","displayToPublicDate":"2018-06-14T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2457,"text":"Journal of Soils and Sediments","active":true,"publicationSubtype":{"id":10}},"title":"Historical sediment mercury deposition for select South Dakota, USA, lakes: implications for watershed transport and flooding","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Purpose</strong></p><p id=\"Par1\" class=\"Para\">Select South Dakota, USA water bodies, including both natural lakes and man-made impoundments, were sampled and analyzed to assess mercury (Hg) dynamics and historical patterns of total Hg deposition.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Materials and methods</strong></p><p id=\"Par2\" class=\"Para\">Sediment cores were collected from seven South Dakota lakes. Mercury concentrations and flux profiles were determined using lead (<sup>210</sup>Pb) dating and sedimentation rates.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Results and discussion</strong></p><p id=\"Par3\" class=\"Para\">Most upper lake sediments contained variable heavy metal concentrations, but became more consistent with depth and age. Five of the seven lakes exhibited Hg accumulation fluxes that peaked between 1920 and 1960, while the remaining two lakes exhibited recent (1995–2009) Hg flux spikes. Historical sediment accumulation rates and Hg flux profiles demonstrate similar peak and stabilized values. Mercury in the sampled South Dakota lakes appears to emanate from watershed transport due to erosion from agricultural land use common to the Northern Great Plains.</p></div><div id=\"ASec4\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Conclusions</strong></p><p id=\"Par4\" class=\"Para\">For sampled South Dakota lakes, watershed inputs are more significant sources of Hg than atmospheric deposition.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s11368-018-2014-3","usgsCitation":"Squillace, M.K., Sieverding, H.L., Betemariam, H.H., Urban, N.R., Penn, M.R., DeSutter, T., Chipps, S.R., and Stone, J., 2019, Historical sediment mercury deposition for select South Dakota, USA, lakes: implications for watershed transport and flooding: Journal of Soils and Sediments, v. 19, no. 1, p. 415-428, https://doi.org/10.1007/s11368-018-2014-3.","productDescription":"14 p.","startPage":"415","endPage":"428","ipdsId":"IP-038644","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":355035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.054487,44.180381],[-104.055914,44.874986],[-104.057698,44.997431],[-104.039681,44.998041],[-104.040114,45.374214],[-104.045443,45.94531],[-100.430597,45.943638],[-99.005754,45.939944],[-98.414518,45.936504],[-96.56328,45.935238],[-96.564002,45.91956],[-96.56703,45.915682],[-96.56442,45.909415],[-96.568315,45.902902],[-96.568772,45.888072],[-96.571354,45.886673],[-96.571871,45.871846],[-96.574667,45.866816],[-96.572984,45.861602],[-96.574517,45.843098],[-96.583085,45.820024],[-96.596704,45.811801],[-96.612512,45.794442],[-96.627778,45.786239],[-96.638726,45.770171],[-96.641941,45.759871],[-96.652226,45.746809],[-96.662595,45.738682],[-96.672665,45.732336],[-96.711157,45.717561],[-96.745086,45.701576],[-96.75035,45.698782],[-96.760866,45.687518],[-96.835769,45.649648],[-96.844211,45.639583],[-96.852392,45.61484],[-96.857751,45.605962],[-96.801987,45.555414],[-96.79384,45.550724],[-96.76528,45.521414],[-96.745487,45.488712],[-96.743486,45.480649],[-96.738446,45.473499],[-96.732739,45.458737],[-96.692541,45.417338],[-96.680454,45.410499],[-96.617726,45.408092],[-96.60118,45.403181],[-96.562142,45.38609],[-96.521787,45.375645],[-96.489065,45.357071],[-96.469246,45.324941],[-96.468027,45.318619],[-96.46191,45.313884],[-96.453067,45.298115],[-96.451232,44.718375],[-96.453049,43.500415],[-96.598928,43.500457],[-96.599182,43.496011],[-96.586274,43.491099],[-96.580997,43.481384],[-96.586364,43.478251],[-96.584603,43.46961],[-96.587929,43.464878],[-96.600039,43.45708],[-96.60286,43.450907],[-96.594254,43.434153],[-96.587884,43.431685],[-96.575181,43.431756],[-96.570224,43.428601],[-96.573579,43.419228],[-96.562728,43.412782],[-96.557586,43.406792],[-96.537116,43.395063],[-96.531159,43.39561],[-96.529152,43.397735],[-96.525453,43.396317],[-96.521572,43.38564],[-96.521323,43.374607],[-96.526467,43.368314],[-96.527223,43.362257],[-96.526635,43.351833],[-96.524289,43.347214],[-96.534913,43.336473],[-96.528817,43.316561],[-96.525564,43.312467],[-96.530392,43.300034],[-96.553087,43.29286],[-96.555246,43.294803],[-96.56911,43.295535],[-96.573556,43.29917],[-96.581052,43.297118],[-96.579094,43.293797],[-96.577588,43.2788],[-96.580904,43.2748],[-96.582876,43.274594],[-96.582939,43.276536],[-96.586317,43.274319],[-96.58522,43.268878],[-96.576804,43.268308],[-96.564165,43.260239],[-96.554968,43.259998],[-96.552591,43.257769],[-96.552963,43.247281],[-96.565253,43.244241],[-96.571194,43.238961],[-96.568505,43.231554],[-96.56044,43.224219],[-96.554937,43.226775],[-96.540088,43.225698],[-96.535741,43.22764],[-96.526865,43.224071],[-96.519273,43.21769],[-96.500759,43.220767],[-96.496454,43.223652],[-96.485264,43.224183],[-96.476697,43.222014],[-96.470626,43.207225],[-96.473777,43.198766],[-96.473834,43.189804],[-96.472395,43.185644],[-96.465146,43.182971],[-96.467292,43.164066],[-96.466537,43.150281],[-96.459978,43.143516],[-96.450361,43.142237],[-96.443431,43.133825],[-96.440801,43.123129],[-96.436589,43.120842],[-96.439335,43.113916],[-96.462855,43.091419],[-96.462636,43.089614],[-96.455337,43.088129],[-96.454088,43.084197],[-96.455209,43.075053],[-96.46085,43.064033],[-96.468207,43.06186],[-96.473165,43.06355],[-96.476905,43.062383],[-96.490365,43.050789],[-96.501748,43.048632],[-96.510256,43.049917],[-96.518431,43.042068],[-96.509145,43.037297],[-96.512916,43.029962],[-96.510995,43.024701],[-96.499187,43.019213],[-96.49167,43.009707],[-96.496699,42.998807],[-96.509986,42.995126],[-96.512886,42.991424],[-96.512237,42.985937],[-96.516724,42.981458],[-96.520773,42.980385],[-96.515922,42.972886],[-96.506148,42.971348],[-96.503132,42.968192],[-96.500308,42.959391],[-96.504857,42.954659],[-96.509472,42.945151],[-96.519994,42.93976],[-96.516419,42.935438],[-96.516888,42.932512],[-96.525536,42.935511],[-96.541689,42.922576],[-96.536564,42.905656],[-96.542847,42.903737],[-96.539397,42.899964],[-96.536007,42.900901],[-96.528886,42.89795],[-96.526357,42.891852],[-96.540116,42.889678],[-96.537851,42.878475],[-96.546394,42.874464],[-96.549659,42.870281],[-96.550469,42.863742],[-96.546556,42.857273],[-96.541708,42.858871],[-96.545502,42.849956],[-96.554709,42.846142],[-96.554203,42.843648],[-96.549976,42.840705],[-96.551285,42.836606],[-96.556162,42.836675],[-96.560572,42.839373],[-96.56284,42.836309],[-96.563058,42.831051],[-96.565605,42.830434],[-96.571353,42.837155],[-96.581604,42.837521],[-96.58238,42.833657],[-96.577813,42.828719],[-96.585699,42.818041],[-96.596008,42.815044],[-96.595664,42.810426],[-96.590913,42.808987],[-96.595283,42.792982],[-96.602575,42.787767],[-96.603784,42.78372],[-96.61949,42.784034],[-96.626406,42.773518],[-96.632142,42.770863],[-96.632212,42.761512],[-96.628741,42.757532],[-96.621235,42.758084],[-96.619494,42.754792],[-96.630485,42.750378],[-96.639704,42.737071],[-96.631931,42.725086],[-96.624704,42.725497],[-96.624446,42.714294],[-96.630617,42.70588],[-96.6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Dakota\",\"nation\":\"USA  \"}}]}","volume":"19","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-22","publicationStatus":"PW","scienceBaseUri":"5b46e568e4b060350a15d121","contributors":{"authors":[{"text":"Squillace, Maria K.","contributorId":205608,"corporation":false,"usgs":false,"family":"Squillace","given":"Maria","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":737962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sieverding, Heidi L.","contributorId":205627,"corporation":false,"usgs":false,"family":"Sieverding","given":"Heidi","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":737963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Betemariam, Hailemelekot H.","contributorId":205609,"corporation":false,"usgs":false,"family":"Betemariam","given":"Hailemelekot","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":737964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Urban, Noel R.","contributorId":205610,"corporation":false,"usgs":false,"family":"Urban","given":"Noel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":737965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Penn, Michael R.","contributorId":205611,"corporation":false,"usgs":false,"family":"Penn","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":737966,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeSutter, Thomas M.","contributorId":205628,"corporation":false,"usgs":false,"family":"DeSutter","given":"Thomas M.","affiliations":[],"preferred":false,"id":737967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737952,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stone, James J.","contributorId":171913,"corporation":false,"usgs":false,"family":"Stone","given":"James J.","affiliations":[],"preferred":false,"id":737968,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70204372,"text":"70204372 - 2019 - Changes in structure and physiological functioning due to experimentally enhanced precipitation seasonality in a widespread shrub species","interactions":[],"lastModifiedDate":"2019-07-22T13:55:38","indexId":"70204372","displayToPublicDate":"2018-06-07T13:49:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Changes in structure and physiological functioning due to experimentally enhanced precipitation seasonality in a widespread shrub species","docAbstract":"<p><span>Semi-arid shrub steppe occupies a vast geographic range that is characterized in part by distinct seasonal patterns in precipitation. Few studies have evaluated how variability in both the amount and timing of precipitation affect the structure and physiology of shrubs in these systems. We quantified changes in foliar crown parameters, xylem anatomy, gas exchange, and hydraulic transport capacity in deep-rooted&nbsp;</span><i class=\"EmphasisTypeItalic \">Artemisia tridentata</i><span>&nbsp;shrubs following 20&nbsp;years of experimental manipulations in amount and seasonal timing of precipitation. We hypothesized that shrub growth (total leaf area per shrub and cover of shrub community), hydraulic transport efficiency, and gas exchange would increase in shrubs in irrigated plots compared to non-irrigated control plots, especially for irrigation applied in winter rather than summer. We also predicted similar changes in xylem anatomy (ring width, vessel size and frequency). Most treatment responses entailed changes in plant structure, and were generally consistent with our hypotheses: total-shrub leaf area, shrub basal area, canopy cover, and maximum sapwood-specific branch hydraulic conductivity were more than 2× greater in shrubs in winter-irrigated compared to control plots, while summer irrigation had few effects on these variables. Irrigation in either season did not affect xylem vessel size, but did increase xylem ring width by ~ 2 × and decreased xylem vessel frequency by about half. Anatomical, morphological, and stand-level abundance&nbsp;</span><i class=\"EmphasisTypeItalic \">of A. tridentata</i><span>appeared much more responsive to irrigation than state changes in gas exchange, particularly when the extra water is received during winter. Thus, it appears for sagebrush that seasonal timing is at least as important as the amount of precipitation, and that responses to changes in precipitation timing occur through changes in carbon allocation more so than changes in leaf-level carbon gain.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11258-018-0845-z","usgsCitation":"Reinhardt, K., McAbee, K., and Germino, M., 2019, Changes in structure and physiological functioning due to experimentally enhanced precipitation seasonality in a widespread shrub species: Plant Ecology, v. 220, no. 2, p. 199-211, https://doi.org/10.1007/s11258-018-0845-z.","productDescription":"13 p.","startPage":"199","endPage":"211","ipdsId":"IP-089983","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":365807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"220","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Reinhardt, Keith","contributorId":178543,"corporation":false,"usgs":false,"family":"Reinhardt","given":"Keith","email":"","affiliations":[],"preferred":false,"id":766587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAbee, Kathryn","contributorId":178542,"corporation":false,"usgs":false,"family":"McAbee","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":766588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":217324,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":766589,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198756,"text":"70198756 - 2019 - Are waterfowl food resources limited during spring migration? A bioenergetic assessment of playas in Nebraska's rainwater basin","interactions":[],"lastModifiedDate":"2019-03-26T16:21:59","indexId":"70198756","displayToPublicDate":"2018-06-05T10:22:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Are waterfowl food resources limited during spring migration? A bioenergetic assessment of playas in Nebraska's rainwater basin","docAbstract":"Accurate bioenergetic carrying capacity estimates of wetlands on public and private lands, as well as those managed for crop production are important for managing waterfowl populations and habitats.  Given the importance of wetlands in the Rainwater Basin region of Nebraska for spring migrating waterfowl, we quantified and compared seed and aquatic invertebrate biomass and true metabolizable energy (TME) at three wetland types; public wetlands, wetlands enrolled in the Wetlands Reserve Program (WRP), and cropped wetlands.  Median seed biomass estimates at public, WRP, and cropped wetlands were 593kg/ha, 561kg/ha, and 419kg/ha respectively.  Cumulative TME varied among wetland type, with greater TME at cropped wetlands (2,431kcal/kg) than public (1,740kcal/kg) and WRP wetlands (1,781kcal/kg).  Seed biomass estimates from this study were statistically greater than those currently used for management planning in the RWB, however, TME estimates were statistically lower than estimates currently assumed for WRP and public wetlands.  Our estimates for aquatic invertebrate biomass were approximately 40-fold less than seed biomass estimates.  Based on spring ponding frequency at wetlands in Nebraska’s Rainwater Basin, and the caloric estimates derived for each wetland type, we concluded that the regions wetlands meet the energetic demand of spring migrating waterfowl during 10% of years.","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1047-0","usgsCitation":"Schepker, T.J., LaGrange, T., and Webb, E.B., 2019, Are waterfowl food resources limited during spring migration? A bioenergetic assessment of playas in Nebraska's rainwater basin: Wetlands, v. 39, no. 1, p. 173-184, https://doi.org/10.1007/s13157-018-1047-0.","productDescription":"12 p.","startPage":"173","endPage":"184","ipdsId":"IP-091625","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468123,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-018-1047-0","text":"Publisher Index Page"},{"id":356618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Rainwater Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.77783203125,\n              40.22921818870117\n            ],\n            [\n              -99.77783203125,\n              41.541477666790286\n            ],\n            [\n              -96.591796875,\n              41.541477666790286\n            ],\n            [\n              -96.591796875,\n              40.22921818870117\n            ],\n            [\n              -99.77783203125,\n              40.22921818870117\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-05","publicationStatus":"PW","scienceBaseUri":"5b98a2afe4b0702d0e842fb5","contributors":{"authors":[{"text":"Schepker, Travis J.","contributorId":207140,"corporation":false,"usgs":false,"family":"Schepker","given":"Travis","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":742870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaGrange, Ted","contributorId":207141,"corporation":false,"usgs":false,"family":"LaGrange","given":"Ted","email":"","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":742871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":742869,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197371,"text":"70197371 - 2019 - Drivers and uncertainties of forecasted range shifts for warm-water fishes under climate and land cover change","interactions":[],"lastModifiedDate":"2019-03-04T11:28:08","indexId":"70197371","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Drivers and uncertainties of forecasted range shifts for warm-water fishes under climate and land cover change","docAbstract":"<p><span>Land cover is an important determinant of aquatic habitat and is projected to shift with climate changes, yet climate-driven land cover changes are rarely factored into climate assessments. To quantify impacts and uncertainty of coupled climate and land cover change on warm-water fish species’ distributions, we used an ensemble model approach to project distributions of 14 species. For each species, current range projections were compared to 27 scenario-based projections and aggregated to visualize uncertainty. Multiple regression and model selection techniques were used to identify drivers of range change. Novel, or no-analogue, climates were assessed to evaluate transferability of models. Changes in total probability of occurrence ranged widely across species, from a 63% increase to a 65% decrease. Distributional gains and losses were largely driven by temperature and flow variables and underscore the importance of habitat heterogeneity and connectivity to facilitate adaptation to changing conditions. Finally, novel climate conditions were driven by mean annual maximum temperature, which stresses the importance of understanding the role of temperature on fish physiology and the role of temperature-mitigating management practices.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0002","usgsCitation":"Bouska, K.L., Whitledge, G.W., Lant, C., and Schoof, J., 2019, Drivers and uncertainties of forecasted range shifts for warm-water fishes under climate and land cover change: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 3, p. 415-425, https://doi.org/10.1139/cjfas-2018-0002.","productDescription":"11 p.","startPage":"415","endPage":"425","ipdsId":"IP-093466","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468124,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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Christopher","contributorId":205317,"corporation":false,"usgs":false,"family":"Lant","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":736890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoof, Justin","contributorId":205318,"corporation":false,"usgs":false,"family":"Schoof","given":"Justin","email":"","affiliations":[],"preferred":false,"id":736891,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197363,"text":"70197363 - 2019 - Post-fire redistribution of soil carbon and nitrogen at a grassland-shrubland ecotone","interactions":[],"lastModifiedDate":"2019-02-21T14:59:36","indexId":"70197363","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Post-fire redistribution of soil carbon and nitrogen at a grassland-shrubland ecotone","docAbstract":"The rapid conversion of grasslands into shrublands has been observed in many arid and semiarid regions worldwide. Studies have shown that fire can provide certain forms of reversibility for shrub-grass transition due to resource homogenization and shrub mortality, especially in the early stages of shrub encroachment. Field-level post-fire soil resource redistribution has rarely been tested. Here we used prescribed fire in a shrubland-grassland transition zone in the northern Chihuahuan Desert to test the hypothesis that fire facilitates the remobilization of nutrient-enriched soil from shrub microsites to grass and bare microsites and thereby reduces the spatial heterogeneity of soil resources. Results show that the shrub microsites had the lowest water content compared to grass and bare microsites after fire, even when rain events occurred. Significant differences of total soil carbon (TC) and total soil nitrogen (TN) among the three microsites disappeared one year after the fire. The spatial autocorrelation distance increased from 1~2 m, approximately the mean size of an individual shrub canopy, to over 5 m one year after the fire for TC and TN. Patches of high soil C and N decomposed one year after the prescribed fire. Overall, fire stimulates the transfer of soil C and N from shrub microsites to nutrient-depleted grass and bare microsites. Such a redistribution of soil C and N, coupled with the reduced soil water content under the shrub canopies, suggests that fire might influence the competition between shrubs and grasses, leading to a higher grass, compared to shrub, coverage in this ecotone.","language":"English","publisher":"Springer","doi":"10.1007/s10021-018-0260-2","usgsCitation":"Wang, G., Li, J., Ravi, S., Dukes, D., Gonzales, H.B., and Sankey, J.B., 2019, Post-fire redistribution of soil carbon and nitrogen at a grassland-shrubland ecotone: Ecosystems, v. 22, no. 1, p. 174-188, https://doi.org/10.1007/s10021-018-0260-2.","productDescription":"15 p.","startPage":"174","endPage":"188","ipdsId":"IP-091417","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":354651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Chihuahua, New Mexico, 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Sujith","contributorId":202738,"corporation":false,"usgs":false,"family":"Ravi","given":"Sujith","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":736873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dukes, David","contributorId":202736,"corporation":false,"usgs":false,"family":"Dukes","given":"David","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":736874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gonzales, Howell B.","contributorId":202737,"corporation":false,"usgs":false,"family":"Gonzales","given":"Howell","email":"","middleInitial":"B.","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":736875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":736870,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197206,"text":"70197206 - 2019 - Modeling the relationship between water level, wild rice abundance, and waterfowl abundance at a central North American wetland","interactions":[],"lastModifiedDate":"2019-03-26T16:25:47","indexId":"70197206","displayToPublicDate":"2018-05-22T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the relationship between water level, wild rice abundance, and waterfowl abundance at a central North American wetland","docAbstract":"<p><span>Recent evidence suggests wild rice (</span><i class=\"EmphasisTypeItalic \">Zizania palustris</i><span>), an important resource for migrating waterfowl, is declining in parts of central North America, providing motivation to rigorously quantify the relationship between waterfowl and wild rice. A hierarchical mixed-effects model was applied to data on waterfowl abundance for 16 species, wild rice stem density, and two measures of water depth (true water depth at vegetation sampling locations and water surface elevation). Results provide evidence for an effect of true water depth (TWD) on wild rice abundance (posterior mean estimate for TWD coefficient,&nbsp;</span><i class=\"EmphasisTypeItalic \">β</i><sub><span>&nbsp;</span><i class=\"EmphasisTypeItalic \">TWD</i><span>&nbsp;</span></sub><span>= 0.92, 95% confidence interval = 0.11—1.74), but not for an effect of wild rice stem density or water surface elevation on local waterfowl abundance (posterior mean values for relevant parameters overlapped 0). Refined protocols for sampling design and more consistent sampling frequency to increase data quality should be pursued to overcome issues that may have obfuscated relationships evaluated here.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1025-6","usgsCitation":"Aagaard, K., Eash, J.D., Ford, W., Heglund, P., McDowell, M., and Thogmartin, W.E., 2019, Modeling the relationship between water level, wild rice abundance, and waterfowl abundance at a central North American wetland: Wetlands, v. 39, no. 1, p. 149-160, https://doi.org/10.1007/s13157-018-1025-6.","productDescription":"12 p.","startPage":"149","endPage":"160","ipdsId":"IP-070237","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":354399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-26","publicationStatus":"PW","scienceBaseUri":"5b155d7ae4b092d9651e1b48","contributors":{"authors":[{"text":"Aagaard, Kevin 0000-0003-0756-2172 kaagaard@usgs.gov","orcid":"https://orcid.org/0000-0003-0756-2172","contributorId":147393,"corporation":false,"usgs":true,"family":"Aagaard","given":"Kevin","email":"kaagaard@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eash, Josh D.","contributorId":100933,"corporation":false,"usgs":true,"family":"Eash","given":"Josh","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":736227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, Walt","contributorId":205151,"corporation":false,"usgs":false,"family":"Ford","given":"Walt","email":"","affiliations":[],"preferred":false,"id":736228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heglund, Patricia J.","contributorId":51248,"corporation":false,"usgs":true,"family":"Heglund","given":"Patricia J.","affiliations":[],"preferred":false,"id":736229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDowell, Michelle","contributorId":205152,"corporation":false,"usgs":false,"family":"McDowell","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":736230,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736231,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204878,"text":"70204878 - 2019 - Synchrony — An emergent property of recreational fisheries","interactions":[],"lastModifiedDate":"2019-08-21T15:17:07","indexId":"70204878","displayToPublicDate":"2018-05-21T15:16:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Synchrony — An emergent property of recreational fisheries","docAbstract":"Recreational fisheries are traditionally managed at local scales, but more effective management could be achieved using a cross‐scale approach. To do this, we must first understand how local processes scale up to influence landscape patterns between anglers and resources. We highlight how population‐based synchrony methods, used in conjunction with a complex‐adaptive‐systems framework, can reveal emergent spatial properties within social‐ecological systems such as recreational fisheries. Herein, we quantified the level of spatial synchrony in angler behaviour, defined the relationship between angler synchrony and distance among waterbodies, and highlighted social‐ecological attributes contributing to these patterns. We leveraged a 111 waterbody‐year (34 waterbodies, 5‐year collection period) recreational fisheries dataset from Nebraska, USA to address these objectives. Intra‐annual patterns in angler behaviour were moderately synchronous across large spatial scales and predominately unrelated to distance among waterbodies. Large‐scale synchronous patterns in angler behaviour emerged from local‐scale interactions between angler heterogeneity and waterbody diversity. Spatial synchrony in angler behaviour is an emergent property that resulted from local‐level processes that scaled up to form large‐scale patterns. We posit that angler utility in combination with waterbodies sharing these desired utility components caused spatial synchrony among anglers with similar preferences or specializations. The level of spatial synchrony in angler behaviour will therefore depend on the degree of angler heterogeneity and waterbody diversity on the landscape, with high or low levels of both leading to low and high levels of spatial synchrony respectively. Synthesis and applications. Synchrony‐based methods proved useful for unveiling an emergent property in recreational fisheries that is beneficial for effective cross‐scale management. It may not be appropriate to extrapolate information and apply uniform management actions among local waterbodies because angler behaviour was not synchronous at small scales. Rather, anglers respond uniquely to waterbody diversity and therefore substitute waterbodies may be dispersed throughout the landscape. Creating boat access, for example could yield unintended consequences for a particular angler group and cause local and regional shifts in angler behaviour. Evaluating appropriate management options will require a cross‐scale monitoring approach that captures angler heterogeneity and waterbody diversity at multiple scales. Recreational fisheries are traditionally managed at local scales, but more effective management could be achieved using a cross‐scale approach. To do this, we must first understand how local processes scale up to influence landscape patterns between anglers and resources. We highlight how population‐based synchrony methods, used in conjunction with a complex‐adaptive‐systems framework, can reveal emergent spatial properties within social‐ecological systems such as recreational fisheries. Herein, we quantified the level of spatial synchrony in angler behaviour, defined the relationship between angler synchrony and distance among waterbodies, and highlighted social‐ecological attributes contributing to these patterns. We leveraged a 111 waterbody‐year (34 waterbodies, 5‐year collection period) recreational fisheries dataset from Nebraska, USA to address these objectives. Intra‐annual patterns in angler behaviour were moderately synchronous across large spatial scales and predominately unrelated to distance among waterbodies. Large‐scale synchronous patterns in angler behaviour emerged from local‐scale interactions between angler heterogeneity and waterbody diversity. Spatial synchrony in angler behaviour is an emergent property that resulted from local‐level processes that scaled up to form large‐scale patterns. We posit that angler","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13164","usgsCitation":"Pope, K.L., 2019, Synchrony — An emergent property of recreational fisheries: Journal of Applied Ecology, v. 55, no. 6, p. 2986-2996, https://doi.org/10.1111/1365-2664.13164.","productDescription":"11 p.","startPage":"2986","endPage":"2996","ipdsId":"IP-086746","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":366808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":768861,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196987,"text":"70196987 - 2019 - Influences of spawning timing, water temperature, and climatic warming on early life history phenology in western Alaska sockeye salmon","interactions":[],"lastModifiedDate":"2019-01-28T09:35:59","indexId":"70196987","displayToPublicDate":"2018-05-14T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Influences of spawning timing, water temperature, and climatic warming on early life history phenology in western Alaska sockeye salmon","docAbstract":"<p><span>We applied an empirical model to predict hatching and emergence timing for 25 western Alaska sockeye salmon (Oncorhynchus nerka) populations in four lake-nursery systems to explore current patterns and potential responses of early life history phenology to warming water temperatures. Given experienced temperature regimes during development, we predicted hatching to occur in as few as 58 d to as many as 260 d depending on spawning timing and temperature. For a focal lake spawning population, our climate-lake temperature model predicted a water temperature increase of 0.7 to 1.4 °C from 2015 to 2099 during the incubation period, which translated to a 16 d to 30 d earlier hatching timing. The most extreme scenarios of warming advanced development by approximately a week earlier than historical minima and thus climatic warming may lead to only modest shifts in phenology during the early life history stage of this population. The marked variation in the predicted timing of hatching and emergence among populations in close proximity on the landscape may serve to buffer this metapopulation from climate change. </span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0468","usgsCitation":"Sparks, M.M., Falke, J.A., Quinn, T.P., Adkison, M.D., Schindler, D.E., Bartz, K.K., Young, D.B., and Westley, P.A., 2019, Influences of spawning timing, water temperature, and climatic warming on early life history phenology in western Alaska sockeye salmon: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 1, p. 123-135, https://doi.org/10.1139/cjfas-2017-0468.","productDescription":"13 p.","startPage":"123","endPage":"135","ipdsId":"IP-092007","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6bde4b0da30c1bfbd8e","contributors":{"authors":[{"text":"Sparks, Morgan M.","contributorId":200252,"corporation":false,"usgs":false,"family":"Sparks","given":"Morgan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":735185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quinn, Thomas P.","contributorId":167272,"corporation":false,"usgs":false,"family":"Quinn","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":24671,"text":"School of Aquatic and Fsiery Sciences, UW, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":735278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adkison, Milo D.","contributorId":100791,"corporation":false,"usgs":false,"family":"Adkison","given":"Milo","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":735279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schindler, Daniel E.","contributorId":83485,"corporation":false,"usgs":true,"family":"Schindler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":735280,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartz, Krista K.","contributorId":200705,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":735281,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":735282,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Westley, Peter A. H.","contributorId":190530,"corporation":false,"usgs":false,"family":"Westley","given":"Peter","email":"","middleInitial":"A. H.","affiliations":[],"preferred":false,"id":735283,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
]}