Young-of-the-year (YOY) smallmouth bass, Micropterus dolomieu Lacepede, were evaluated in streams from eight catchments with two contrasting land uses to determine their use of microhabitats under a variety of stream conditions. Step-wise discriminant function analyses revealed patterns of habitat use by discriminating used from available microhabitat conditions. Velocity was significant in 88% of streams sampled, whereas depth was significant in only the smallest stream in the forest-dominated catchments and 75% of stream segments located in pasture-dominated catchments. Mean velocities used by YOY bass were lower than available velocities, and mean depths used were greater than mean availability in all cases. Substrata varied significantly with availability in different stream segments. Error rates associated with classification ranged from 5 to 39%. Results indicate that YOY smallmouth bass are somewhat opportunistic, but use low-velocity habitats in most cases and deeper water when streams are impacted by pasture land use and associated physical changes.
","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/j.1365-2400.2011.00806.x","usgsCitation":"Brewer, S.K., 2011, Patterns in young-of-year smallmouth bass microhabitat use in multiple stream segments with contrasting land uses: Fisheries Management and Ecology, v. 18, no. 6, p. 506-512, https://doi.org/10.1111/j.1365-2400.2011.00806.x.","productDescription":"7 p.","startPage":"506","endPage":"512","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026557","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"5551d2b6e4b0a92fa7e93bf9","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":546473,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70154849,"text":"70154849 - 2011 - Defining conservation priorities for freshwater fishes according to taxonomic, functional, and phylogenetic diversity","interactions":[],"lastModifiedDate":"2015-07-10T10:44:21","indexId":"70154849","displayToPublicDate":"2011-12-01T11:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Defining conservation priorities for freshwater fishes according to taxonomic, functional, and phylogenetic diversity","docAbstract":"To date, the predominant use of systematic conservation planning has been to evaluate and conserve areas of high terrestrial biodiversity. Although studies in freshwater ecosystems have received recent attention, research has rarely considered the potential trade-offs between protecting different dimensions of biodiversity and the ecological processes that maintain diversity. We provide the first systematic prioritization for freshwaters (focusing on the highly threatened and globally distinct fish fauna of the Lower Colorado River Basin, USA) simultaneously considering scenarios of: taxonomic, functional, and phylogenetic diversity; contemporary threats to biodiversity (including interactions with nonnative species); and future climate change and human population growth. There was 75% congruence between areas of highest conservation priority for different aspects of biodiversity, suggesting that conservation efforts can concurrently achieve strong complementarity among all types of diversity. However, sizable fractions of the landscape were incongruent across conservation priorities for different diversity scenarios, underscoring the importance of considering multiple dimensions of biodiversity and highlighting catchments that contribute disproportionately to taxonomic, functional, and phylogenetic diversity in the region. Regions of projected human population growth were not concordant with conservation priorities; however, higher human population abundance will likely have indirect effects on native biodiversity by increasing demand for water. This will come in direct conflict with projected reductions in precipitation and warmer temperatures, which have substantial overlap with regions of high contemporary diversity. Native and endemic fishes in arid ecosystems are critically endangered by both current and future threats, but our results highlight the use of systematic conservation planning for the optimal allocation of limited resources that incorporates multiple and complementary conservation values describing taxonomic, functional, and phylogenetic diversity.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/11-0599.1","usgsCitation":"Strecker, A.L., Olden, J., Whittier, J.B., and Paukert, C.P., 2011, Defining conservation priorities for freshwater fishes according to taxonomic, functional, and phylogenetic diversity: Ecological Applications, v. 21, no. 8, p. 3002-3013, https://doi.org/10.1890/11-0599.1.","productDescription":"12 p.","startPage":"3002","endPage":"3013","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029013","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a0ecaee4b0183d66e43030","contributors":{"authors":[{"text":"Strecker, Angela L.","contributorId":43256,"corporation":false,"usgs":true,"family":"Strecker","given":"Angela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":564578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":564579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":564580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564263,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70006175,"text":"70006175 - 2011 - Assessment of a recombinant F1-V fusion protein vaccine intended to protect Canada lynx (Lynx canadensis) from plague","interactions":[],"lastModifiedDate":"2018-01-18T11:17:32","indexId":"70006175","displayToPublicDate":"2011-12-01T11:13:49","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of a recombinant F1-V fusion protein vaccine intended to protect Canada lynx (Lynx canadensis) from plague","docAbstract":"As part of an ongoing restoration program in Colorado, USA, we evaluated adverse reactions and seroconversion in captive Canada lynx (Lynx canadensis) after vaccination with a recombinant F1-V fusion protein vaccine against Yersinia pestis, the bacterium that causes plague. Ten adult female lynx received the F1-V vaccine; 10 source- and age-matched lynx remained unvaccinated as controls. All of the vaccinated and control lynx remained apparently healthy throughout the confinement period. We observed no evidence of injection site or systemic reactions to the F1-V vaccine. Among vaccinated lynx, differences in log10 reciprocal antibody titers measured in sera collected before and after vaccination (two doses) ranged from 1.2 to 5.2 for anti-F1 antibodies and from 0.6 to 5.2 for anti-V antibodies; titers in unvaccinated lynx did not change appreciably over the course of confinement prior to release, and thus differences in anti-F1 (P=0.003) and anti-V (P=0.0005) titers were greater among vaccinated lynx than among controls. Although our findings suggest that the F1-V fusion protein vaccine evaluated here is likely to stimulate antibody responses that may help protect Canada lynx from plague, we observed no apparent differences in survival between vaccinated and unvaccinated subject animals. Retrospectively, 22 of 50 (44%; 95% confidence interval 29–59%) unvaccinated lynx captured or recaptured in Colorado during 2000–08 had passive hemagglutination antibody titers >1:16, consistent with exposure to Y. pestis; paired pre- and postrelease titers available for eight of these animals showed titer increases similar in magnitude to those seen in response to vaccination, suggesting at least some lynx may naturally acquire immunity to plague in Colorado habitats.
","language":"English","publisher":"Wildlife Disease Association","publisherLocation":"Lawrence, KS","doi":"10.7589/0090-3558-47.4.888","usgsCitation":"Wolfe, L., Shenk, T.M., Powell, B., and Rocke, T.E., 2011, Assessment of a recombinant F1-V fusion protein vaccine intended to protect Canada lynx (Lynx canadensis) from plague: Journal of Wildlife Diseases, v. 47, no. 4, p. 888-892, https://doi.org/10.7589/0090-3558-47.4.888.","productDescription":"5 p.","startPage":"888","endPage":"892","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474871,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/0090-3558-47.4.888","text":"Publisher Index Page"},{"id":204530,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee20e4b0c8380cd49ba5","contributors":{"authors":[{"text":"Wolfe, Lisa L.","contributorId":94429,"corporation":false,"usgs":true,"family":"Wolfe","given":"Lisa L.","affiliations":[],"preferred":false,"id":354012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shenk, Tanya M.","contributorId":82451,"corporation":false,"usgs":true,"family":"Shenk","given":"Tanya","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":354011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Bradford","contributorId":7410,"corporation":false,"usgs":true,"family":"Powell","given":"Bradford","email":"","affiliations":[],"preferred":false,"id":354010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":354009,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005381,"text":"70005381 - 2011 - Spatial scaling of core and dominant forest cover in the Upper Mississippi and Illinois River floodplains, USA","interactions":[],"lastModifiedDate":"2021-05-18T14:37:50.291537","indexId":"70005381","displayToPublicDate":"2011-12-01T11:11:00","publicationYear":"2011","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":"Spatial scaling of core and dominant forest cover in the Upper Mississippi and Illinois River floodplains, USA","docAbstract":"Different organisms respond to spatial structure in different terms and across different spatial scales. As a consequence, efforts to reverse habitat loss and fragmentation through strategic habitat restoration ought to account for the different habitat density and scale requirements of various taxonomic groups. Here, we estimated the local density of floodplain forest surrounding each of ~20 million 10-m forested pixels of the Upper Mississippi and Illinois River floodplains by using moving windows of multiple sizes (1–100 ha). We further identified forest pixels that met two local density thresholds: ‘core’ forest pixels were nested in a 100% (unfragmented) forested window and ‘dominant’ forest pixels were those nested in a >60% forested window. Finally, we fit two scaling functions to declines in the proportion of forest cover meeting these criteria with increasing window length for 107 management-relevant focal areas: a power function (i.e. self-similar, fractal-like scaling) and an exponential decay function (fractal dimension depends on scale). The exponential decay function consistently explained more variation in changes to the proportion of forest meeting both the ‘core’ and ‘dominant’ criteria with increasing window length than did the power function, suggesting that elevation, soil type, hydrology, and human land use constrain these forest types to a limited range of scales. To examine these scales, we transformed the decay constants to measures of the distance at which the probability of forest meeting the ‘core’ and ‘dominant’ criteria was cut in half (S 1/2, m). S 1/2 for core forest was typically between ~55 and ~95 m depending on location along the river, indicating that core forest cover is restricted to extremely fine scales. In contrast, half of all dominant forest cover was lost at scales that were typically between ~525 and 750 m, but S 1/2 was as long as 1,800 m. S 1/2 is a simple measure that (1) condenses information derived from multi-scale analyses, (2) allows for comparisons of the amount of forest habitat available to species with different habitat density and scale requirements, and (3) can be used as an index of the spatial continuity of habitat types that do not scale fractally.
","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10980-011-9594-2","usgsCitation":"De Jager, N.R., and Rohweder, J., 2011, Spatial scaling of core and dominant forest cover in the Upper Mississippi and Illinois River floodplains, USA: Landscape Ecology, v. 26, no. 5, p. 697-708, https://doi.org/10.1007/s10980-011-9594-2.","productDescription":"12 p.","startPage":"697","endPage":"708","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":204405,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi and Illinois River floodplains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.955078125,\n 37.89219554724437\n ],\n [\n -87.73681640625,\n 37.89219554724437\n ],\n [\n -87.73681640625,\n 45.413876460821086\n ],\n [\n -93.955078125,\n 45.413876460821086\n ],\n [\n -93.955078125,\n 37.89219554724437\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-03-20","publicationStatus":"PW","scienceBaseUri":"505b94a7e4b08c986b31abd1","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":104616,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":352388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, Jason J.","contributorId":25629,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason J.","affiliations":[],"preferred":false,"id":352387,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201979,"text":"70201979 - 2011 - Utah's geologic and geomorphic analogs to Mars—An overview for planetary exploration","interactions":[],"lastModifiedDate":"2019-02-04T10:56:35","indexId":"70201979","displayToPublicDate":"2011-12-01T10:55:27","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"22","title":"Utah's geologic and geomorphic analogs to Mars—An overview for planetary exploration","docAbstract":"Utah offers spectacular geologic features and valuable analog environments and processes for Mars studies. Horizontal strata of the Colorado Plateau are analogous to Mars because the overprint of plate tectonics is minimal, yet the effects of strong ground motion from earthquakes or impacts are preserved in the sedimentary record. The close proximity of analog environments and lack of vegetative cover are advantages for field and remote-sensing studies. Dry, desert climate and modern wind processes of Utah are comparable to Mars and its current surface. Analogs in Utah include eolian, sabkha and saline bodies, glacial, lacustrine, spring, alluvial, fluvial, delta, and outflow channel depositional environments, as well as volcanic landforms and impact craters. Analogous secondary processes producing modification features include: diagenetic concretions, weathering and soils, sinkholes, sapping, knobs and pinnacles, crusts and varnish, and patterned grounds. Utah's physical and chemical environments are analogous to conditions on Mars where water existed and could support microorganisms. The development of Mars includes: ancient and modern depositional records, burial and diagenesis, uplift and tectonic alteration, and modern sculpting or weathering of the surface exposures. Recent satellite images are providing unprecedented details that rival the outcrop scale. Analogs in Utah are prime field localities that can be utilized in planning future robotic and human missions to Mars, and for teaching the next generation of planetary explorers.
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Paper 483","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chan, Marjorie A.","contributorId":66230,"corporation":false,"usgs":true,"family":"Chan","given":"Marjorie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":756410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicoll, Kathleen","contributorId":147872,"corporation":false,"usgs":false,"family":"Nicoll","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":756411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ormö, Jens","contributorId":166745,"corporation":false,"usgs":false,"family":"Ormö","given":"Jens","affiliations":[],"preferred":false,"id":756412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Okubo, Chris 0000-0001-9776-8128 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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The border wall: Venues, mechanisms and stakeholders for a constructive dialogue between the United States and Mexico","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"INE/El Colegio de la Frontera Norte","usgsCitation":"Nagler, P.L., Lackner, W., Sturm, M., Castillo-Gamez, R., and Ceballos, G., 2011, An ecosystem level approach for developing an environmental monitoring program for the US/Mexico Border Region, chap. 7 of The border wall: Venues, mechanisms and stakeholders for a constructive dialogue between the United States and Mexico, p. 98-123.","productDescription":"26 p.","startPage":"98","endPage":"123","ipdsId":"IP-029363","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"de la Parra, C. 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During 2007–2009, we studied mercury and stable isotope spatial patterns of macroinvertebrates and fishes from two medium-sized (<80 km2) forested basins in contrasting settings. Samples were collected seasonally from multiple sites across the Fishing Brook basin (FBNY), in New York's Adirondack Mountains, and the McTier Creek basin (MCSC), in South Carolina's Coastal Plain. Mean methylmercury (MeHg) concentrations within macroinvertebrate feeding groups, and mean total mercury (THg) concentrations within most fish feeding groups were similar between the two regions. However, mean THg concentrations in game fish and forage fish, overall, were much lower in FBNY (1300 and 590 ng/g dw, respectively) than in MCSC (2300 and 780 ng/g dw, respectively), due to lower trophic positions of these groups from FBNY (means 3.3 and 2.7, respectively) than MCSC (means 3.7 and 3.3, respectively). Much larger spatial variation in topography and water chemistry across FBNY contributed to greater spatial variation in biotic Hg and positive correlations with dissolved MeHg and organic carbon in streamwater. Hydrologic transport distance (HTD) was negatively correlated with biotic Hg across FBNY, and was a better predictor than wetland density. The small range of landscape conditions across MCSC resulted in no consistent spatial patterns, and no discernable correspondence with local-scale environmental factors. This study demonstrates the importance of local-scale environmental factors to mercury bioaccumulation in topographically heterogeneous landscapes, and provides evidence that food-chain length can be an important predictor of broad-scale differences in Hg bioaccumulation among streams.","language":"English","publisher":"Springer","doi":"10.1007/s10646-011-0719-9","usgsCitation":"Riva-Murray, K., Chasar, L.C., Bradley, P.M., Burns, D.A., Brigham, M.E., Smith, M.J., and Abrahamsen, T.A., 2011, Spatial patterns of mercury in macroinvertebrates and fishes from streams of contrasting forested landscapes in the eastern United States: Ecotoxicology, v. 20, no. 7, p. 1530-1542, https://doi.org/10.1007/s10646-011-0719-9.","productDescription":"13 p.","startPage":"1530","endPage":"1542","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":474872,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10646-011-0719-9","text":"Publisher Index Page"},{"id":204286,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, South 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0000-0002-1107-9653 marsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1107-9653","contributorId":4474,"corporation":false,"usgs":true,"family":"Smith","given":"Martyn","email":"marsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351525,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Abrahamsen, Thomas A.","contributorId":79137,"corporation":false,"usgs":true,"family":"Abrahamsen","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":351526,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70043371,"text":"70043371 - 2011 - Quantifying the hydrological responses to climate change in an intact forested small watershed in southern China","interactions":[],"lastModifiedDate":"2013-07-23T10:37:55","indexId":"70043371","displayToPublicDate":"2011-12-01T10:29:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the hydrological responses to climate change in an intact forested small watershed in southern China","docAbstract":"Responses of hydrological processes to climate change are key components in the Intergovernmental Panel for Climate Change (IPCC) assessment. Understanding these responses is critical for developing appropriate mitigation and adaptation strategies for sustainable water resources management and protection of public safety. However, these responses are not well understood and little long-term evidence exists. Herein, we show how climate change, specifically increased air temperature and storm intensity, can affect soil moisture dynamics and hydrological variables based on both long-term observation and model simulations using the Soil and Water Assessment Tool (SWAT) in an intact forested watershed (the Dinghushan Biosphere Reserve) in Southern China. Our results show that, although total annual precipitation changed little from 1950 to 2009, soil moisture decreased significantly. A significant decline was also found in the monthly 7-day low flow from 2000 to 2009. However, the maximum daily streamflow in the wet season and unconfined groundwater tables have significantly increased during the same 10-year period. The significant decreasing trends on soil moisture and low flow variables suggest that the study watershed is moving towards drought-like condition. Our analysis indicates that the intensification of rainfall storms and the increasing number of annual no-rain days were responsible for the increasing chance of both droughts and floods. We conclude that climate change has indeed induced more extreme hydrological events (e.g. droughts and floods) in this watershed and perhaps other areas of Southern China. This study also demonstrated usefulness of our research methodology and its possible applications on quantifying the impacts of climate change on hydrology in any other watersheds where long-term data are available and human disturbance is negligible.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2486.2011.02499.x","usgsCitation":"Zhou, G., Wei, X., Wu, Y., Liu, S., Huang, Y., Yan, J., Zhang, D., Zhang, Q., Liu, J., Meng, Z., Wang, C., Chu, G., Liu, S., Tang, X., and Liu, X., 2011, Quantifying the hydrological responses to climate change in an intact forested small watershed in southern China: Global Change Biology, v. 17, no. 12, p. 3736-3746, https://doi.org/10.1111/j.1365-2486.2011.02499.x.","productDescription":"11 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bioregion","interactions":[],"lastModifiedDate":"2021-02-04T16:25:42.23482","indexId":"70032580","displayToPublicDate":"2011-12-01T10:21:46","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Northern goshawk monitoring in the western Great Lakes bioregion","docAbstract":"Uncertainties about factors affecting Northern Goshawk (Accipiter gentilis) ecology and the status of populations have added to the challenge of managing this species. To address data needs for determining the status of goshawk populations, Hargis and Woodbridge (2006) developed a bioregional monitoring protocol based on estimating occupancy. The goal of our study was to implement this protocol and collect data to determine goshawk population status in the western Great Lakes (WGL) bioregion, which encompasses portions of Minnesota, Wisconsin, and Michigan, and is a mixture of private and public property. We used 366 goshawk nest locations obtained between 1979 and 2006 throughout the WGL bioregion to develop a model of landscape use consisting of forest canopy cover and land-cover covariates. We then used the model to develop a stratified sampling design for selecting 600-ha Primary Sampling Units (PSUs) to survey for goshawks. Project collaborators surveyed 86 PSUs for goshawk presence using broadcasted calls twice between mid-May and mid-August 2008, and recorded 30 goshawk detections in 21 different PSUs. Seventy-four percent of detections occurred at call stations with canopy closure >75%. Goshawk detection probabilities were 0.549 ± 0.118 (standard error) for the first visit to PSUs and 0.750 ± 0.126 for the second visit. We estimated the proportion of PSUs occupied by goshawks as 0.266 ± 0.047, which corresponded to 5184 ± 914 PSUs occupied by goshawks in our study area and suggested that goshawks are widely, but sparsely, distributed throughout the WGL bioregion.
","language":"English","publisher":"BioOne","doi":"10.3356/JRR-10-52.1","usgsCitation":"Bruggeman, J.E., Andersen, D., and Woodford, J.E., 2011, Northern goshawk monitoring in the western Great Lakes bioregion: Journal of Raptor Research, v. 45, no. 4, p. 290-303, https://doi.org/10.3356/JRR-10-52.1.","productDescription":"14 p.","startPage":"290","endPage":"303","ipdsId":"IP-013257","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-10-52.1","text":"Publisher Index Page"},{"id":382955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.14111328125,\n 42.633958722673135\n ],\n [\n -83.60595703125,\n 42.633958722673135\n ],\n [\n -83.60595703125,\n 48.96579381461063\n ],\n [\n -97.14111328125,\n 48.96579381461063\n ],\n [\n -97.14111328125,\n 42.633958722673135\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a683ee4b0c8380cd736c7","contributors":{"authors":[{"text":"Bruggeman, Jason E.","contributorId":18983,"corporation":false,"usgs":false,"family":"Bruggeman","given":"Jason","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":809834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":true,"id":708016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodford, James E.","contributorId":60865,"corporation":false,"usgs":false,"family":"Woodford","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":809835,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003661,"text":"70003661 - 2011 - Short-term response of subadult white sturgeon to hopper dredge disposal operations","interactions":[],"lastModifiedDate":"2021-05-19T14:32:26.962388","indexId":"70003661","displayToPublicDate":"2011-12-01T10:04:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Short-term response of subadult white sturgeon to hopper dredge disposal operations","docAbstract":"The effect of dredged-material disposal operations on the behavior of seven white sturgeon Acipenser transmontanus (50–101 cm fork length) was examined by analysis of the movements and depth use of these fish before, during, and after a series of hopper dredge disposal operations in the lower Columbia River. Analyses of fish locations showed that 12 flow-lane disposal operations within a 24-h period had minimal effect on subadult white sturgeon behavior; six of the seven fish showed slight attraction to the disposal area during disposals, and one fish increased its distance from the disposal area. The core area for all fish combined shifted toward the disposal area during disposals. In the 24 h after completion of the disposal operations the fish core areas shifted back toward those areas occupied before the disposals. The rates of movement, depths used, and diel movement patterns of the white sturgeon showed little change over all periods, suggesting that natural behaviors were not altered during and immediately after hopper dredge disposal operations.
","language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/02755947.2010.549033","usgsCitation":"Parsley, M.J., Popoff, N.D., and Romine, J.G., 2011, Short-term response of subadult white sturgeon to hopper dredge disposal operations: North American Journal of Fisheries Management, v. 31, no. 1, p. 1-11, https://doi.org/10.1080/02755947.2010.549033.","productDescription":"11 p.","startPage":"1","endPage":"11","numberOfPages":"11","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":204237,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.22290039062499,\n 45.65244828675087\n ],\n [\n -122.772216796875,\n 46.11132565729796\n ],\n [\n -123.26660156249999,\n 46.27103747280261\n ],\n [\n -123.695068359375,\n 46.35451083736523\n ],\n [\n -124.024658203125,\n 46.31658418182218\n ],\n [\n -123.99169921875,\n 46.15700496290803\n ],\n [\n -123.67309570312499,\n 46.11132565729796\n ],\n [\n -123.53027343749999,\n 46.15700496290803\n ],\n [\n -123.29956054687501,\n 46.057985244793024\n ],\n [\n -123.06884765625,\n 46.10370875598026\n ],\n [\n -122.92602539062501,\n 45.99696161820381\n ],\n [\n -122.98095703125,\n 45.66780526567164\n ],\n [\n -122.62939453125001,\n 45.47554027158593\n ],\n [\n -122.2119140625,\n 45.49094569262732\n ],\n [\n -122.22290039062499,\n 45.62172169252446\n ],\n [\n -122.22290039062499,\n 45.65244828675087\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-02-06","publicationStatus":"PW","scienceBaseUri":"505b8ec4e4b08c986b318b2c","contributors":{"authors":[{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":348219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Popoff, Nicholas D.","contributorId":42343,"corporation":false,"usgs":true,"family":"Popoff","given":"Nicholas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":348221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":348220,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004875,"text":"70004875 - 2011 - Spatial patch occupancy patterns of the Lower Keys marsh rabbit","interactions":[],"lastModifiedDate":"2021-05-17T16:41:31.094088","indexId":"70004875","displayToPublicDate":"2011-12-01T09:47:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patch occupancy patterns of the Lower Keys marsh rabbit","docAbstract":"Reliable estimates of presence or absence of a species can provide substantial information on management questions related to distribution and habitat use but should incorporate the probability of detection to reduce bias. We surveyed for the endangered Lower Keys marsh rabbit (Sylvilagus palustris hefneri) in habitat patches on 5 Florida Key islands, USA, to estimate occupancy and detection probabilities. We derived detection probabilities using spatial replication of plots and evaluated hypotheses that patch location (coastal or interior) and patch size influence occupancy and detection. Results demonstrate that detection probability, given rabbits were present, was <0.5 and suggest that naïve estimates (i.e., estimates without consideration of imperfect detection) of patch occupancy are negatively biased. We found that patch size and location influenced probability of occupancy but not detection. Our findings will be used by Refuge managers to evaluate population trends of Lower Keys marsh rabbits from historical data and to guide management decisions for species recovery. The sampling and analytical methods we used may be useful for researchers and managers of other endangered lagomorphs and cryptic or fossorial animals occupying diverse habitats.","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/jwmg.152","usgsCitation":"Eaton, M., Hughes, P.T., Nichols, J., Morkill, A., and Anderson, C., 2011, Spatial patch occupancy patterns of the Lower Keys marsh rabbit: Journal of Wildlife Management, v. 75, no. 5, p. 1186-1193, https://doi.org/10.1002/jwmg.152.","productDescription":"8 p.","startPage":"1186","endPage":"1193","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204312,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.21505737304688,\n 24.671978191593258\n ],\n [\n -81.22055053710938,\n 24.79483832122786\n ],\n [\n -81.49658203125,\n 24.819146481739068\n ],\n [\n -81.71356201171875,\n 24.696934226366672\n ],\n [\n -81.82617187499999,\n 24.568357320106585\n ],\n [\n -81.80145263671875,\n 24.53712939907993\n ],\n [\n -81.573486328125,\n 24.574601971051052\n ],\n [\n -81.24526977539062,\n 24.649513490158643\n ],\n [\n -81.21505737304688,\n 24.671978191593258\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-05-04","publicationStatus":"PW","scienceBaseUri":"505b9490e4b08c986b31ab7d","contributors":{"authors":[{"text":"Eaton, Mitchell J.","contributorId":71308,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[],"preferred":false,"id":351559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, Phillip T.","contributorId":68874,"corporation":false,"usgs":true,"family":"Hughes","given":"Phillip","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":351558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":351555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morkill, Anne","contributorId":36671,"corporation":false,"usgs":true,"family":"Morkill","given":"Anne","email":"","affiliations":[],"preferred":false,"id":351556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Chad","contributorId":39110,"corporation":false,"usgs":true,"family":"Anderson","given":"Chad","affiliations":[],"preferred":false,"id":351557,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70003934,"text":"70003934 - 2011 - Seroprevalence of West Nile Virus in feral horses on Sheldon National Wildlife Refuge, Nevada, United States","interactions":[],"lastModifiedDate":"2018-01-03T13:24:16","indexId":"70003934","displayToPublicDate":"2011-12-01T09:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":733,"text":"American Journal of Tropical Medicine and Hygiene","active":true,"publicationSubtype":{"id":10}},"title":"Seroprevalence of West Nile Virus in feral horses on Sheldon National Wildlife Refuge, Nevada, United States","docAbstract":"We screened 1,397 feral horses (Equus caballus) on Sheldon National Wildlife Refuge, Nevada, United States, for IgM and IgG against flavivirus during 2004–2006, 2008, and 2009. Positive serum samples were tested for neutralizing antibodies to West Nile virus (WNV) and St. Louis encephalitis virus (SLEV). One animal was positive for antibody against WNV in 2004, but all others tested in 2004–2006 were negative. In 2008 and 2009, we found evidence of increasing seropositive horses with age, whereas seroprevalence of WNV decreased from 19% in 2008 to 7.2% in 2009. No horses were positive for antibody against SLEV. Being unvaccinated, feral horses can be useful for WNV surveillance.
","language":"English","publisher":"The American Society of Tropical Medicine and Hygiene","publisherLocation":"Deerfield, IL","doi":"10.4269/ajtmh.2011.10-0467","usgsCitation":"Franson, J., Hofmeister, E.K., Collins, G.H., and Dusek, R., 2011, Seroprevalence of West Nile Virus in feral horses on Sheldon National Wildlife Refuge, Nevada, United States: American Journal of Tropical Medicine and Hygiene, v. 84, no. 4, p. 637-640, https://doi.org/10.4269/ajtmh.2011.10-0467.","productDescription":"4 p.","startPage":"637","endPage":"640","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474874,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.4269/ajtmh.2011.10-0467","text":"External Repository"},{"id":438821,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7S75DDD","text":"USGS data release","linkHelpText":"Seroprevalence of West Nile virus in feral horses on Sheldon National Wildlife Refuge, Nevada, United States 2004-2006, 2008 and 2009"},{"id":204239,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Sheldon National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.94049072265625,\n 41.44272637767212\n ],\n [\n -119.94049072265625,\n 42.09822241118974\n ],\n [\n -119.05609130859374,\n 42.09822241118974\n ],\n [\n -119.05609130859374,\n 41.44272637767212\n ],\n [\n -119.94049072265625,\n 41.44272637767212\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8d61e4b08c986b31837c","contributors":{"authors":[{"text":"Franson, J. 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UAVSAR is a fully polarimetric L-band Synthetic Aperture Radar (SAR) sensor for obtaining data at high spatial resolutions. Starting a month prior to the UAVSAR collections, visual observations confirmed oil impacts along shorelines within northeastern Barataria Bay waters in eastern coastal Louisiana. UAVSAR data along several flight lines over Barataria Bay were collected on 23 June 2010, including the repeat flight line for which data were collected in June 2009. Our analysis of calibrated single-look complex data for these flight lines shows that structural damage of shoreline marsh accompanied by oil occurrence manifested as anomalous features not evident in pre-spill data. Freeman-Durden (FD) and Cloude-Pottier (CP) decompositions of the polarimetric data and Wishart classifications seeded with the FD and CP classes also highlighted these nearshore features as a change in dominant scattering mechanism. All decompositions and classifications also identify a class of interior marshes that reproduce the spatially extensive changes in backscatter indicated by the pre- and post-spill comparison of multi-polarization radar backscatter data. FD and CP decompositions reveal that those changes indicate a transform of dominant scatter from primarily surface or volumetric to double or even bounce. Given supportive evidence that oil-polluted waters penetrated into the interior marshes, it is reasonable that these backscatter changes correspond with oil exposure; however, multiple factors prevent unambiguous determination of whether UAVSAR detected oil in interior marshes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI Publishing","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs3122630","usgsCitation":"Ramsey, E., Rangoonwala, A., Suzuoki, Y., and Jones, C.E., 2011, Oil detection in a coastal marsh with polarimetric Synthetic Aperture Radar (SAR): Remote Sensing, v. 3, no. 12, p. 2630-2662, https://doi.org/10.3390/rs3122630.","productDescription":"33 p.","startPage":"2630","endPage":"2662","numberOfPages":"32","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":474876,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs3122630","text":"Publisher Index Page"},{"id":204214,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":111027,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.3390/rs3122630","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Bay","volume":"3","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-12-07","publicationStatus":"PW","scienceBaseUri":"505a6cf2e4b0c8380cd74eb2","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":354045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":354042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suzuoki, Yukihiro","contributorId":25283,"corporation":false,"usgs":true,"family":"Suzuoki","given":"Yukihiro","email":"","affiliations":[],"preferred":false,"id":354044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Cathleen E.","contributorId":11890,"corporation":false,"usgs":true,"family":"Jones","given":"Cathleen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":354043,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70006143,"text":"70006143 - 2011 - Sea-level rise and landscape change influence mangrove encroachment onto marsh in the Ten Thousand Islands region of Florida, USA","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"70006143","displayToPublicDate":"2011-12-01T09:28:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2219,"text":"Journal of Coastal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level rise and landscape change influence mangrove encroachment onto marsh in the Ten Thousand Islands region of Florida, USA","docAbstract":"The Ten Thousand Islands region of southwestern Florida, USA is a major feeding and resting destination for breeding, migrating, and wintering birds. Many species of waterbirds rely specifically on marshes as foraging habitat, making mangrove encroachment a concern for wildlife managers. With the alteration of freshwater flow and sea-level rise trends for the region, mangroves have migrated upstream into traditionally salt and brackish marshes, mirroring similar descriptions around the world. Aside from localized freezes in some years, very little seems to be preventing mangrove encroachment. We mapped changes in mangrove stand boundaries from the Gulf of Mexico inland to the northern boundary of Ten Thousand Islands National Wildlife Refuge (TTINWR) from 1927 to 2005, and determined the area of mangroves to be approximately 7,281 hectares in 2005, representing an 1,878 hectare increase since 1927. Overall change represents an approximately 35% increase in mangrove coverage on TTINWR over 78 years. Sea-level rise is likely the primary driver of this change; however, the construction of new waterways facilitates the dispersal of mangrove propagules into new areas by extending tidal influence, exacerbating encroachment. Reduced volume of freshwater delivery to TTINWR via overland flow and localized rainfall may influence the balance between marsh and mangrove as well, potentially offering some options to managers interested in conserving marsh over mangrove.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s11852-011-0153-4","usgsCitation":"Krauss, K.W., From, A., Doyle, T.W., Doyle, T.J., and Barry, M.J., 2011, Sea-level rise and landscape change influence mangrove encroachment onto marsh in the Ten Thousand Islands region of Florida, USA: Journal of Coastal Conservation, v. 15, no. 4, p. 629-638, https://doi.org/10.1007/s11852-011-0153-4.","productDescription":"10 p.","startPage":"629","endPage":"638","numberOfPages":"10","temporalStart":"1927-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":110994,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s11852-011-0153-4","linkFileType":{"id":5,"text":"html"}},{"id":204238,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Ten Thousand Islands Region","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-13","publicationStatus":"PW","scienceBaseUri":"505b8819e4b08c986b3167dc","contributors":{"authors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":353930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"From, Andrew S. 0000-0002-6543-2627","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":18100,"corporation":false,"usgs":true,"family":"From","given":"Andrew S.","affiliations":[],"preferred":false,"id":353931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doyle, Thomas W. 0000-0001-5754-0671 doylet@usgs.gov","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":703,"corporation":false,"usgs":true,"family":"Doyle","given":"Thomas","email":"doylet@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":353929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doyle, Terry J.","contributorId":85706,"corporation":false,"usgs":true,"family":"Doyle","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":353932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barry, Michael J.","contributorId":87277,"corporation":false,"usgs":true,"family":"Barry","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":353933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70006312,"text":"70006312 - 2011 - An adaptive decision framework for the conservation of a threatened plant","interactions":[],"lastModifiedDate":"2012-02-25T00:10:10","indexId":"70006312","displayToPublicDate":"2011-12-01T09:19:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"An adaptive decision framework for the conservation of a threatened plant","docAbstract":"Mead's milkweed Asclepias meadii, a long-lived perennial herb of tallgrass prairie and glade communities of the central United States, is a species designated as threatened under the U.S. Endangered Species Act. Challenges to its successful management include the facts that much about its life history is unknown, its age at reproductive maturity is very advanced, certain life stages are practically unobservable, its productivity is responsive to unpredictable environmental events, and most of the known populations occur on private lands unprotected by any legal conservation instrument. One critical source of biological uncertainty is the degree to which fire promotes growth and reproductive response in the plant. To aid in its management, we developed a prototype population-level state-dependent decision-making framework that explicitly accounts for this uncertainty and for uncertainties related to stochastic environmental effects and vital rates. To parameterize the decision model, we used estimates found in the literature, and we analyzed data from a long-term monitoring program where fates of individual plants were observed through time. We demonstrate that different optimal courses of action are followed according to how one believes that fire influences reproductive response, and we show that the action taken for certain population states is informative for resolving uncertainty about competing beliefs regarding the effect of fire. We advocate the use of a model-predictive approach for the management of rare populations, particularly when management uncertainty is profound. Over time, an adaptive management approach should reduce uncertainty and improve management performance as predictions of management outcome generated under competing models are continually informed and updated by monitoring data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish and Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Arlington, VA","doi":"10.3996/012011-JFWM-007","usgsCitation":"Moore, C., Fonnesbeck, C.J., Shea, K., Lah, K.J., McKenzie, P.M., Ball, L.C., Runge, M.C., and Alexander, H.M., 2011, An adaptive decision framework for the conservation of a threatened plant: Journal of Fish and Wildlife Management, v. 2, no. 2, p. 247-261, https://doi.org/10.3996/012011-JFWM-007.","productDescription":"15 p.","startPage":"247","endPage":"261","numberOfPages":"15","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474877,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1808/13193","text":"External Repository"},{"id":204577,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115886,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3996/012011-JFWM-007","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"2","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9e2e4b0c8380cd484e4","contributors":{"authors":[{"text":"Moore, Clinton T.","contributorId":9767,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton T.","affiliations":[],"preferred":false,"id":354293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fonnesbeck, Christopher J.","contributorId":72474,"corporation":false,"usgs":true,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":354295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shea, Katriona","contributorId":93190,"corporation":false,"usgs":true,"family":"Shea","given":"Katriona","affiliations":[],"preferred":false,"id":354297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lah, Kristopher J.","contributorId":95194,"corporation":false,"usgs":true,"family":"Lah","given":"Kristopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":354298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenzie, Paul M.","contributorId":14902,"corporation":false,"usgs":true,"family":"McKenzie","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":354294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ball, Lianne C. 0000-0001-9331-0718 lball@usgs.gov","orcid":"https://orcid.org/0000-0001-9331-0718","contributorId":4274,"corporation":false,"usgs":true,"family":"Ball","given":"Lianne","email":"lball@usgs.gov","middleInitial":"C.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":354292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":354291,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Alexander, Helen M.","contributorId":73334,"corporation":false,"usgs":true,"family":"Alexander","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":354296,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70003684,"text":"70003684 - 2011 - Modelling community dynamics based on species-level abundance models from detection/nondetection data","interactions":[],"lastModifiedDate":"2021-04-29T14:50:01.625624","indexId":"70003684","displayToPublicDate":"2011-12-01T09:10:39","publicationYear":"2011","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":"Modelling community dynamics based on species-level abundance models from detection/nondetection data","docAbstract":"1. In large‐scale field surveys, a binary recording of each species’ detection or nondetection has been increasingly adopted for its simplicity and low cost. Because of the importance of abundance in many studies, it is desirable to obtain inferences about abundance at species‐, functional group‐, and community‐levels from such binary data.
2. We developed a novel hierarchical multi‐species abundance model based on species‐level detection/nondetection data. The model accounts for the existence of undetected species, and variability in abundance and detectability among species. Species‐level detection/nondetection is linked to species‐level abundance via a detection model that accommodates the expectation that probability of detection (at least one individuals is detected) increases with local abundance of the species. We applied this model to a 9‐year dataset composed of the detection/nondetection of forest birds, at a single post‐fire site (from 7 to 15 years after fire) in a montane area of central Japan. The model allocated undetected species into one of the predefined functional groups by assuming a prior distribution on individual group membership.
3. The results suggest that 15–20 species were missed in each year, and that species richness of communities and functional groups did not change with post‐fire forest succession. Overall abundance of birds and abundance of functional groups tended to increase over time, although only in the winter, while decreases in detectabilities were observed in several species.
4. Synthesis and applications. Understanding and prediction of large‐scale biodiversity dynamics partly hinge on how we can use data effectively. Our hierarchical model for detection/nondetection data estimates abundance in space/time at species‐, functional group‐, and community‐levels while accounting for undetected individuals and species. It also permits comparison of multiple communities by many types of abundance‐based diversity and similarity measures under imperfect detection.
","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-2664.2010.01922.x","usgsCitation":"Yamaura, Y., Royle, J., Kuboi, K., Tada, T., Ikeno, S., and Makino, S., 2011, Modelling community dynamics based on species-level abundance models from detection/nondetection data: Journal of Applied Ecology, v. 48, no. 1, p. 67-75, https://doi.org/10.1111/j.1365-2664.2010.01922.x.","productDescription":"9 p.","startPage":"67","endPage":"75","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474878,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2010.01922.x","text":"Publisher Index Page"},{"id":204341,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-17","publicationStatus":"PW","scienceBaseUri":"505a5c64e4b0c8380cd6fc68","contributors":{"authors":[{"text":"Yamaura, Yuichi","contributorId":95997,"corporation":false,"usgs":true,"family":"Yamaura","given":"Yuichi","affiliations":[],"preferred":false,"id":348326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":348325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuboi, Kouji","contributorId":103784,"corporation":false,"usgs":true,"family":"Kuboi","given":"Kouji","email":"","affiliations":[],"preferred":false,"id":348327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tada, Tsuneo","contributorId":7407,"corporation":false,"usgs":true,"family":"Tada","given":"Tsuneo","email":"","affiliations":[],"preferred":false,"id":348322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ikeno, Susumu","contributorId":12176,"corporation":false,"usgs":true,"family":"Ikeno","given":"Susumu","email":"","affiliations":[],"preferred":false,"id":348323,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Makino, Shun’ichi","contributorId":66401,"corporation":false,"usgs":true,"family":"Makino","given":"Shun’ichi","email":"","affiliations":[],"preferred":false,"id":348324,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70138001,"text":"70138001 - 2011 - Interspecies transmission and limited persistence of low pathogenic avian influenza genomes among Alaska dabbling ducks","interactions":[],"lastModifiedDate":"2018-08-16T21:29:58","indexId":"70138001","displayToPublicDate":"2011-12-01T09:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1988,"text":"Infection, Genetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Interspecies transmission and limited persistence of low pathogenic avian influenza genomes among Alaska dabbling ducks","docAbstract":"The reassortment and geographic distribution of low pathogenic avian influenza (LPAI) virus genes are well documented, but little is known about the persistence of intact LPAI genomes among species and locations. To examine persistence of entire LPAI genome constellations in Alaska, we calculated the genetic identities among 161 full-genome LPAI viruses isolated across 4 years from five species of duck: northern pintail (Anas acuta), mallard (Anas platyrhynchos), American green-winged teal (Anas crecca), northern shoveler (Anas clypeata) and American wigeon (Anas americana). Based on pairwise genetic distance, highly similar LPAI genomes (>99% identity) were observed within and between species and across a range of geographic distances (up to and >1000 km), but most often between isolates collected 0–10 km apart. Highly similar viruses were detected between years, suggesting inter-annual persistence, but these were rare in our data set with the majority occurring within 0–9 days of sampling. These results identify LPAI transmission pathways in the context of species, space and time, an initial perspective into the extent of regional virus distribution and persistence, and insight into why no completely Eurasian genomes have ever been detected in Alaska. Such information will be useful in forecasting the movement of foreign-origin avian influenza strains should they be introduced to North America.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.meegid.2011.09.011","usgsCitation":"Reeves, A.B., Pearce, J.M., Ramey, A.M., Meixell, B.W., and Runstadler, J.A., 2011, Interspecies transmission and limited persistence of low pathogenic avian influenza genomes among Alaska dabbling ducks: Infection, Genetics and Evolution, v. 11, no. 8, p. 2004-2010, https://doi.org/10.1016/j.meegid.2011.09.011.","productDescription":"7 p.","startPage":"2004","endPage":"2010","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027202","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":297265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"11","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2bd8e4b08de9379b3518","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":538497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":538498,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":538521,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173873,"text":"70173873 - 2011 - Comparing isotope signatures of prey fish: does gut removal affect δ13C or δ15N?","interactions":[],"lastModifiedDate":"2016-06-15T15:15:13","indexId":"70173873","displayToPublicDate":"2011-12-01T01:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Comparing isotope signatures of prey fish: does gut removal affect δ13C or δ15N?","docAbstract":"Stable isotope analysis is a quick and inexpensive method to monitor the effects of food web changes on aquatic communities. Traditionally, whole specimens have been used when determining isotope composition of prey fish or age-0 recreational fishes. However, gut contents of prey fish could potentially alter isotope composition of the specimen, especially when recent foraging has taken place or when the gut contains non-assimilated material that would normally pass through fishes undigested. To assess the impacts of gut content on prey fish isotope signatures, we examined the differences in isotopic variation of five prey fish species using whole fish, whole fish with the gut contents removed, and dorsal muscle only. We found significant differences in both δ15N and δ13C between the three tissue treatments. In most cases, muscle tissue was enriched compared to whole specimens or gut-removed specimens. Moreover, differences in mean δ15N within a species were up to 2‰ among treatments. This would result in a change of over half a trophic position (TP) based on a 3.4‰ increase per trophic level. However, there were no apparent relationships between tissue isotope values in fish with increased gut fullness (more prey tissue present). We suggest that muscle tissue should be used as the standard tissue for determining isotope composition of prey fish or age-0 recreational fishes, especially when determining enrichment for mixing models, calculating TP, or constructing aquatic food webs.
","language":"English","publisher":"Taylor & Francis","publisherLocation":"Abingdon, England","doi":"10.1080/02705060.2011.604984","usgsCitation":"Chipps, S.R., Fincel, M.J., VanDeHey, J.A., and Wuestewald, A., 2011, Comparing isotope signatures of prey fish: does gut removal affect δ13C or δ15N?: Journal of Freshwater Ecology, v. 27, no. 1, p. 55-62, https://doi.org/10.1080/02705060.2011.604984.","productDescription":"8 p.","startPage":"55","endPage":"62","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031966","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-11-14","publicationStatus":"PW","scienceBaseUri":"57627c2fe4b07657d19a69d2","contributors":{"authors":[{"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":639128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fincel, Mark J.","contributorId":171853,"corporation":false,"usgs":false,"family":"Fincel","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":26957,"text":"South Dakota Game, Fish and Parks, Ft. Pierre, SD","active":true,"usgs":false}],"preferred":false,"id":639129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanDeHey, Justin A.","contributorId":50800,"corporation":false,"usgs":true,"family":"VanDeHey","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wuestewald, Andrew","contributorId":171927,"corporation":false,"usgs":false,"family":"Wuestewald","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":639131,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70006130,"text":"sir20115156 - 2011 - The source, discharge, and chemical characteristics of water from Agua Caliente Spring, Palm Springs, California","interactions":[],"lastModifiedDate":"2025-05-14T15:00:55.207211","indexId":"sir20115156","displayToPublicDate":"2011-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5156","title":"The source, discharge, and chemical characteristics of water from Agua Caliente Spring, Palm Springs, California","docAbstract":"Agua Caliente Spring, in downtown Palm Springs, California, has been used for recreation and medicinal therapy for hundreds of years and currently (2008) is the source of hot water for the Spa Resort owned by the Agua Caliente Band of the Cahuilla Indians. The Agua Caliente Spring is located about 1,500 feet east of the eastern front of the San Jacinto Mountains on the southeast-sloping alluvial plain of the Coachella Valley. The objectives of this study were to (1) define the geologic structure associated with the Agua Caliente Spring; (2) define the source(s), and possibly the age(s), of water discharged by the spring; (3) ascertain the seasonal and longer-term variability of the natural discharge, water temperature, and chemical characteristics of the spring water; (4) evaluate whether water-level declines in the regional aquifer will influence the temperature of the spring discharge; and, (5) estimate the quantity of spring water that leaks out of the water-collector tank at the spring orifice.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115156","collaboration":"Prepared in cooperation with the Agua Caliente Band of Cahuilla Indians","usgsCitation":"Brandt, J., Catchings, R.D., Christensen, A.H., Flint, A.L., Gandhok, G., Goldman, M.R., Halford, K.J., Langenheim, V., Martin, P., Rymer, M.J., Schroeder, R.A., Smith, G.A., and Sneed, M., 2011, The source, discharge, and chemical characteristics of water from Agua Caliente Spring, Palm Springs, California: U.S. Geological Survey Scientific Investigations Report 2011-5156, xii, 106 p., https://doi.org/10.3133/sir20115156.","productDescription":"xii, 106 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":110981,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5156/","linkFileType":{"id":5,"text":"html"}},{"id":116686,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5156.jpg"}],"country":"United States","state":"California","city":"Palm Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.83333333333333,33.63333333333333 ], [ -116.83333333333333,34 ], [ -116.33333333333333,34 ], [ -116.33333333333333,33.63333333333333 ], [ -116.83333333333333,33.63333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4780e4b07f02db4821b8","contributors":{"editors":[{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725853,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Brandt, Justin 0000-0002-9397-6824","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":23269,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","affiliations":[],"preferred":false,"id":353908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":353901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Allen H. 0000-0002-7061-5591 ahchrist@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-5591","contributorId":1510,"corporation":false,"usgs":true,"family":"Christensen","given":"Allen","email":"ahchrist@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":353899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gandhok, Gini","contributorId":21274,"corporation":false,"usgs":true,"family":"Gandhok","given":"Gini","affiliations":[],"preferred":false,"id":353907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":353903,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353898,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":1526,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":353906,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353897,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rymer, Michael J. mrymer@usgs.gov","contributorId":1522,"corporation":false,"usgs":true,"family":"Rymer","given":"Michael","email":"mrymer@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":353904,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schroeder, Roy A. raschroe@usgs.gov","contributorId":1523,"corporation":false,"usgs":true,"family":"Schroeder","given":"Roy","email":"raschroe@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":353905,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Gregory A. 0000-0001-8170-9924 gasmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8170-9924","contributorId":1520,"corporation":false,"usgs":true,"family":"Smith","given":"Gregory","email":"gasmith@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":353902,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353896,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70006126,"text":"ofr20111198 - 2011 - Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona—2009–10","interactions":[],"lastModifiedDate":"2012-02-03T00:10:05","indexId":"ofr20111198","displayToPublicDate":"2011-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1198","title":"Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona—2009–10","docAbstract":"The Navajo (N) aquifer is an extensive aquifer and the primary source of groundwater in the 5,400-square-mile Black Mesa area in northeastern Arizona. Availability of water is an important issue in northeastern Arizona because of continued water requirements for industrial and municipal use by a growing population and because of low precipitation in the arid climate of the Black Mesa area. Precipitation in the area is typically between 6 and 14 inches per year. The U.S. Geological Survey water-monitoring program in the Black Mesa area began in 1971 and provides information about the long-term effects of groundwater withdrawals from the N aquifer for industrial and municipal uses. This report presents results of data collected as part of the monitoring program in the Black Mesa area from January 2009 to September 2010. The monitoring program includes measurements of (1) groundwater withdrawals, (2) groundwater levels, (3) spring discharge, (4) surface-water discharge, and (5) groundwater chemistry. In 2009, total groundwater withdrawals were 4,230 acre-ft, industrial withdrawals were 1,390 acre-ft, and municipal withdrawals were 2,840 acre-ft. Total withdrawals during 2009 were about 42 percent less than total withdrawals in 2005 because of Peabody Western Coal Company's discontinued use of water in a coal slurry used for transporting coal. From 2008 to 2009 total withdrawals increased by 3 percent and industrial withdrawals increased by approximately 15 percent, but total municipal withdrawals decreased by 2 percent. From 2009 to 2010, annually measured water levels in the Black Mesa area declined in 7 of 16 wells that were available for comparison in the unconfined areas of the N aquifer, and the median change was 0.1 foot. Water levels declined in 12 of 18 wells measured in the confined area of the aquifer. The median change for the confined area of the aquifer was -0.3 foot. From the prestress period (prior to 1965) to 2010, the median water-level change for 34 wells in both the confined and unconfined area was -13.9 feet. Also, from the prestress period to 2009, the median water-level changes were -0.8 foot for 16 wells measured in the unconfined areas and -38.7 feet for 18 wells measured in the confined area. Spring flow was measured at four springs in 2010. Flow fluctuated during the period of record, but a decreasing trend was apparent at Moenkopi School Spring and Pasture Canyon Spring. Discharge at Burro Spring and Unnamed Spring near Dennehotso has remained relatively constant since they were first measured in the 1980s. Continuous records of surface-water discharge in the Black Mesa area were collected from streamflow-gaging stations at the following sites: Moenkopi Wash at Moenkopi 09401260 (1976 to 2009), Dinnebito Wash near Sand Springs 09401110 (1993 to 2009), Polacca Wash near Second Mesa 09400568 (1994 to 2009), and Pasture Canyon Springs 09401265 (2004 to 2009). Median winter flows (November through February) of each water year were used as an index of the amount of groundwater discharge at the above-named sites. For the period of record of each streamflow-gaging station, the median winter flows have generally remained constant, which suggests no change in groundwater discharge. In 2010, water samples collected from 11 wells and 4 springs in the Black Mesa area were analyzed for selected chemical constituents, and the results were compared with previous analyses. Concentrations of dissolved solids, chloride, and sulfate have varied at all 11 wells for the period of record, but neither increasing nor decreasing trends over time were found. Dissolved-solids, chloride, and sulfate concentrations increased at Moenkopi School Spring during the more than 12 years of record at that site. Concentrations of dissolved solids, chloride, and sulfate at Pasture Canyon Spring have not varied much since the early 1980s, and there is no increasing or decreasing trend in those data. Concentrations of dissolved solids, chloride, and sulfate at Burro Spring and Unnamed Spring near Dennehotso have varied for the period of record, but there is no increasing or decreasing trend in the data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111198","collaboration":"In cooperation with the Bureau of Indian Affairs and the Arizona Department of Water Resources","usgsCitation":"Macy, J.P., and Brown, C.R., 2011, Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona—2009–10: U.S. Geological Survey Open-File Report 2011-1198, vi, 42 p., https://doi.org/10.3133/ofr20111198.","productDescription":"vi, 42 p.","onlineOnly":"Y","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":110979,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1198/","linkFileType":{"id":5,"text":"html"}},{"id":116684,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1198.gif"}],"state":"Arizona","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4784e4b07f02db483c56","contributors":{"authors":[{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Christopher R. crbrown@usgs.gov","contributorId":4751,"corporation":false,"usgs":true,"family":"Brown","given":"Christopher","email":"crbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353891,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70006129,"text":"sir20115166 - 2011 - Documentation of methods and inventory of irrigation data collected for the 2000 and 2005 U.S. Geological Survey Estimated use of water in the United States, comparison of USGS-compiled irrigation data to other sources, and recommendations for future compilations","interactions":[],"lastModifiedDate":"2012-02-03T00:10:05","indexId":"sir20115166","displayToPublicDate":"2011-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5166","title":"Documentation of methods and inventory of irrigation data collected for the 2000 and 2005 U.S. Geological Survey Estimated use of water in the United States, comparison of USGS-compiled irrigation data to other sources, and recommendations for future compilations","docAbstract":"Every five years since 1950, the U.S. Geological Survey (USGS) National Water Use Information Program (NWUIP) has compiled water-use information in the United States and published a circular report titled \"Estimated use of water in the United States,\" which includes estimates of water withdrawals by State, sources of water withdrawals (groundwater or surface water), and water-use category (irrigation, public supply, industrial, thermoelectric, and so forth). This report discusses the impact of important considerations when estimating irrigated acreage and irrigation withdrawals, including estimates of conveyance loss, irrigation-system efficiencies, pasture, horticulture, golf courses, and double cropping.\nThis report also documents the methods and data sources used by the USGS Water Science Centers (WSCs) for estimating irrigated acreage and irrigation withdrawals reported in the 2000 and 2005 USGS 5-year water-use compilations. For the 2005 USGS water-use compilation, the most common sources used by WSCs for obtaining irrigated crop acreage were the 2002 Census of Agriculture, 2003 Farm and Ranch Irrigation Survey (FRIS), National Agricultural Statistics Service (NASS), universities, and local and State agencies. In this report, the authors compare USGS-compiled irrigated acreage to Census of Agriculture- and FRIS- reported irrigated acreage. Nationwide irrigated acreage increased from the 1997 to 2007 Census of Agriculture estimates by about 1 percent and from the 1998 to 2008 FRIS estimates by about 9 percent. Conversely, total irrigated acreage decreased from the 2000 to 2005 USGS water-use compilations by about 2 percent.\nAn indirect method for estimating irrigation withdrawals is presented and results are compared to the 2005 USGS-reported irrigation withdrawals for selected States. This method is meant to demonstrate a way to check data reported or received from a third party, if metered data are unavailable. Of the 11 States where this method was applied, 8 States had estimated irrigation withdrawals that were within 15 percent of what was reported in the 2005 water-use compilation, and 3 States had estimated irrigation withdrawals that were more than 20 percent of what was reported in 2005. Recommendations for improving estimates of irrigated acreage and irrigation withdrawals also are presented in this report. Conveyance losses and irrigation-system efficiencies should be considered in order to achieve a more accurate representation of irrigation withdrawals. Better documentation of data sources and methods used can help lead to more consistent information in future irrigation water-use compilations. Finally, a summary of data sources and methods used to estimate irrigated acreage and irrigation withdrawals for the 2000 and 2005 compilations for each WSC is presented in appendix 1.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115166","usgsCitation":"Dickens, J.M., Forbes, B., Cobean, D.S., and Tadayon, S., 2011, Documentation of methods and inventory of irrigation data collected for the 2000 and 2005 U.S. Geological Survey Estimated use of water in the United States, comparison of USGS-compiled irrigation data to other sources, and recommendations for future compilations: U.S. Geological Survey Scientific Investigations Report 2011-5166, vi, 37 p.; Appendices, https://doi.org/10.3133/sir20115166.","productDescription":"vi, 37 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":116685,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5166.gif"},{"id":110980,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5166/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a037ee4b0c8380cd504e3","contributors":{"authors":[{"text":"Dickens, Jade M.","contributorId":53087,"corporation":false,"usgs":true,"family":"Dickens","given":"Jade","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":353894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forbes, Brandon T. bforbes@usgs.gov","contributorId":4625,"corporation":false,"usgs":true,"family":"Forbes","given":"Brandon T.","email":"bforbes@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cobean, Dylan S.","contributorId":88482,"corporation":false,"usgs":true,"family":"Cobean","given":"Dylan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":353895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tadayon, Saeid stadayon@usgs.gov","contributorId":2928,"corporation":false,"usgs":true,"family":"Tadayon","given":"Saeid","email":"stadayon@usgs.gov","affiliations":[],"preferred":true,"id":353892,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70003339,"text":"70003339 - 2011 - Spatial and seasonal variability of dissolved methylmercury in two stream basins in the Eastern United States","interactions":[],"lastModifiedDate":"2020-01-28T08:37:43","indexId":"70003339","displayToPublicDate":"2011-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and seasonal variability of dissolved methylmercury in two stream basins in the Eastern United States","docAbstract":"We assessed methylmercury (MeHg) concentrations across multiple ecological scales in the Edisto (South Carolina) and Upper Hudson (New York) River basins. Out-of-channel wetland/floodplain environments were primary sources of filtered MeHg (F-MeHg) to the stream habitat in both systems. Shallow, open-water areas in both basins exhibited low F-MeHg concentrations and decreasing F-MeHg mass flux. Downstream increases in out-of-channel wetlands/floodplains and the absence of impoundments result in high MeHg throughout the Edisto. Despite substantial wetlands coverage and elevated F-MeHg concentrations at the headwater margins, numerous impoundments on primary stream channels favor spatial variability and lower F-MeHg concentrations in the Upper Hudson. The results indicated that, even in geographically, climatically, and ecologically diverse streams, production in wetland/floodplain areas, hydrologic transport to the stream aquatic environment, and conservative/nonconservative attenuation processes in open water areas are fundamental controls on dissolved MeHg concentrations and, by extension, MeHg availability for potential biotic uptake.","language":"English","publisher":"ACS Publications","doi":"10.1021/es103923j","usgsCitation":"Bradley, P.M., Burns, D.A., Riva-Murray, K., Brigham, M.E., Button, D.T., Chasar, L.C., Marvin-DiPasquale, M., Lowery, M.A., and Journey, C.A., 2011, Spatial and seasonal variability of dissolved methylmercury in two stream basins in the Eastern United States: Environmental Science & Technology, v. 45, no. 6, p. 2048-2055, https://doi.org/10.1021/es103923j.","productDescription":"8 p.","startPage":"2048","endPage":"2055","numberOfPages":"8","costCenters":[{"id":559,"text":"South Carolina Water Science 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Consistent with intensity–duration threshold curves determined from past debris-flow events in burned areas in Southern California, the portable radar-derived rainfall rates exceeded the empirical thresholds over a wider range of storm durations with a higher spatial resolution than local National Weather Service operational radars. Moreover, the truck-mounted C-band radar dual-polarimetric-derived estimates of rainfall intensity provided a better guide to the expected severity of debris-flow events, based on criteria derived from previous events using rain gauge data, than traditional radar-derived rainfall approaches using reflectivity–rainfall relationships for either the portable or operational network WSR-88D radars. Part of the reason for the improvement was due to siting the radar closer to the burn zone than the WSR-88Ds, but use of the dual-polarimetric variables improved the rainfall estimation by ~12% over the use of traditional Z–R relationships.
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