Sexual size dimorphism (SSD) is a well-documented phenomenon in both plants and animals; however, the ecological and evolutionary mechanisms that drive and maintain SSD patterns across geographic space at regional and global scales are understudied, especially for reptiles. Our goal was to examine geographic variation of turtle SSD and to explore ecological and environmental correlates using phylogenetic comparative methods. We use published body size data on 135 species from nine turtle families to examine how geographic patterns and the evolution of SSD are influenced by habitat specialization, climate (annual mean temperature and annual precipitation) and climate variability, latitude, or a combination of these predictor variables. We found that geographic variation, magnitude and direction of turtle SSD are best explained by habitat association, annual temperature variance and annual precipitation. Use of semi-aquatic and terrestrial habitats was associated with male-biased SSD, whereas use of aquatic habitat was associated with female-biased SSD. Our results also suggest that greater temperature variability is associated with female-biased SSD. In contrast, wetter climates are associated with male-biased SSD compared with arid climates that are associated with female-biased SSD. We also show support for a global latitudinal trend in SSD, with females being larger than males towards the poles, especially in the families Emydidae and Geoemydidae. Estimates of phylogenetic signal for both SSD and habitat type indicate that closely related species occupy similar habitats and exhibit similar direction and magnitude of SSD. These global patterns of SSD may arise from sex-specific reproductive behaviour, fecundity and sex-specific responses to environmental factors that differ among habitats and vary systematically across latitude. Thus, this study adds to our current understanding that while SSD can vary dramatically across and within turtle species under phylogenetic constraints, it may be driven, maintained and exaggerated by habitat type, climate and geographic location.
","language":"English","publisher":"Wiley","doi":"10.1111/jeb.13223","usgsCitation":"Agha, M., Ennen, J., Nowakowski, A.J., Lovich, J.E., Sweat, S.C., and Todd, B., 2018, Macroecological patterns of sexual size dimorphism in turtles of the world: Journal of Evolutionary Biology, v. 31, no. 3, p. 336-345, https://doi.org/10.1111/jeb.13223.","productDescription":"10 p.","startPage":"336","endPage":"345","ipdsId":"IP-089878","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469013,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jeb.13223","text":"Publisher Index Page"},{"id":351316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-04","publicationStatus":"PW","scienceBaseUri":"5a7c1e70e4b00f54eb2292bf","contributors":{"authors":[{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false},{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":726979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":726980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowakowski, A. Justin","contributorId":201799,"corporation":false,"usgs":false,"family":"Nowakowski","given":"A.","email":"","middleInitial":"Justin","affiliations":[{"id":36252,"text":"Department of Wildlife, Fish, and Conservation Biology, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":726981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sweat, Sarah C.","contributorId":195519,"corporation":false,"usgs":false,"family":"Sweat","given":"Sarah","email":"","middleInitial":"C.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":726983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Todd, Brian D.","contributorId":196261,"corporation":false,"usgs":false,"family":"Todd","given":"Brian D.","affiliations":[{"id":6961,"text":"Department of Wildlife, Fish & Conservation Biology, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":726982,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195124,"text":"70195124 - 2018 - Making ecological models adequate","interactions":[],"lastModifiedDate":"2018-02-08T09:25:55","indexId":"70195124","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Making ecological models adequate","docAbstract":"Critical evaluation of the adequacy of ecological models is urgently needed to enhance their utility in developing theory and enabling environmental managers and policymakers to make informed decisions. Poorly supported management can have detrimental, costly or irreversible impacts on the environment and society. Here, we examine common issues in ecological modelling and suggest criteria for improving modelling frameworks. An appropriate level of process description is crucial to constructing the best possible model, given the available data and understanding of ecological structures. Model details unsupported by data typically lead to over parameterisation and poor model performance. Conversely, a lack of mechanistic details may limit a model's ability to predict ecological systems’ responses to management. Ecological studies that employ models should follow a set of model adequacy assessment protocols that include: asking a series of critical questions regarding state and control variable selection, the determinacy of data, and the sensitivity and validity of analyses. We also need to improve model elaboration, refinement and coarse graining procedures to better understand the relevancy and adequacy of our models and the role they play in advancing theory, improving hind and forecasting, and enabling problem solving and management.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.12893","usgsCitation":"Getz, W.M., Marshall, C.R., Carlson, C.J., Giuggioli, L., Ryan, S.J., Romanach, S.S., Boettiger, C., Chamberlain, S.D., Larsen, L., D'Odorico, P., and O’Sullivan, D., 2018, Making ecological models adequate: Ecology Letters, v. 21, no. 2, p. 153-166, https://doi.org/10.1111/ele.12893.","productDescription":"14 p.","startPage":"153","endPage":"166","ipdsId":"IP-088087","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469017,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/8d5d214b-4b79-4eaf-80fb-edd67296962f","text":"External Repository"},{"id":351271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-27","publicationStatus":"PW","scienceBaseUri":"5a7c1e6fe4b00f54eb2292b3","contributors":{"authors":[{"text":"Getz, Wayne M.","contributorId":201830,"corporation":false,"usgs":false,"family":"Getz","given":"Wayne","email":"","middleInitial":"M.","affiliations":[{"id":36267,"text":"Dept of Environmental Science, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":727050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, Charles R.","contributorId":197649,"corporation":false,"usgs":false,"family":"Marshall","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":727052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, Colin J.","contributorId":201831,"corporation":false,"usgs":false,"family":"Carlson","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":36267,"text":"Dept of Environmental Science, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":727053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giuggioli, Luca","contributorId":201832,"corporation":false,"usgs":false,"family":"Giuggioli","given":"Luca","email":"","affiliations":[{"id":36268,"text":"Bristol Centre for Complexity Sciences, University of Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":727054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ryan, Sadie J.","contributorId":139037,"corporation":false,"usgs":false,"family":"Ryan","given":"Sadie","email":"","middleInitial":"J.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":727055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":727051,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boettiger, Carl","contributorId":201833,"corporation":false,"usgs":false,"family":"Boettiger","given":"Carl","affiliations":[{"id":36267,"text":"Dept of Environmental Science, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":727056,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chamberlain, Samuel D.","contributorId":201834,"corporation":false,"usgs":false,"family":"Chamberlain","given":"Samuel","email":"","middleInitial":"D.","affiliations":[{"id":36267,"text":"Dept of Environmental Science, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":727057,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Larsen, Laurel","contributorId":190106,"corporation":false,"usgs":false,"family":"Larsen","given":"Laurel","affiliations":[],"preferred":false,"id":727058,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"D'Odorico, Paolo","contributorId":201835,"corporation":false,"usgs":false,"family":"D'Odorico","given":"Paolo","affiliations":[{"id":36267,"text":"Dept of Environmental Science, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":727059,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"O’Sullivan, David","contributorId":201836,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"David","email":"","affiliations":[{"id":36269,"text":"Dept of Geography, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":727060,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70195214,"text":"70195214 - 2018 - Demographic modelling reveals a history of divergence with gene flow for a glacially tied stonefly in a changing post-Pleistocene landscape","interactions":[],"lastModifiedDate":"2018-02-08T09:08:53","indexId":"70195214","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Demographic modelling reveals a history of divergence with gene flow for a glacially tied stonefly in a changing post-Pleistocene landscape","docAbstract":"Aim
Climate warming is causing extensive loss of glaciers in mountainous regions, yet our understanding of how glacial recession influences evolutionary processes and genetic diversity is limited. Linking genetic structure with the influences shaping it can improve understanding of how species respond to environmental change. Here, we used genome-scale data and demographic modelling to resolve the evolutionary history of Lednia tumana, a rare, aquatic insect endemic to alpine streams. We also employed a range of widely used data filtering approaches to quantify how they influenced population structure results.
Location
Alpine streams in the Rocky Mountains of Glacier National Park, Montana, USA.
Taxon
Lednia tumana, a stonefly (Order Plecoptera) in the family Nemouridae.
Methods
We generated single nucleotide polymorphism data through restriction-site associated DNA sequencing to assess contemporary patterns of genetic structure for 11 L. tumana populations. Using identified clusters, we assessed demographic history through model selection and parameter estimation in a coalescent framework. During population structure analyses, we filtered our data to assess the influence of singletons, missing data and total number of markers on results.
Results
Contemporary patterns of population structure indicate that L. tumana exhibits a pattern of isolation-by-distance among populations within three genetic clusters that align with geography. Mean pairwise genetic differentiation (FST) among populations was 0.033. Coalescent-based demographic modelling supported divergence with gene flow among genetic clusters since the end of the Pleistocene (~13-17 kya), likely reflecting the south-to-north recession of ice sheets that accumulated during the Wisconsin glaciation.
Main conclusions
We identified a link between glacial retreat, evolutionary history and patterns of genetic diversity for a range-restricted stonefly imperiled by climate change. This finding included a history of divergence with gene flow, an unexpected conclusion for a mountaintop species. Beyond L. tumana, this study demonstrates the complexity of assessing genetic structure for weakly differentiated species, shows the degree to which rare alleles and missing data may influence results, and highlights the usefulness of genome-scale data to extend population genetic inquiry in non-model species.
","language":"English","publisher":"Wiley","doi":"10.1111/jbi.13125","usgsCitation":"Hotaling, S., Muhlfeld, C.C., Giersch, J.J., Ali, O., Jordan, S., Miller, M.R., Luikart, G., and Weisrock, D.W., 2018, Demographic modelling reveals a history of divergence with gene flow for a glacially tied stonefly in a changing post-Pleistocene landscape: Journal of Biogeography, v. 45, no. 2, p. 304-317, https://doi.org/10.1111/jbi.13125.","productDescription":"14 p.","startPage":"304","endPage":"317","ipdsId":"IP-090859","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":351237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":198074,"corporation":false,"usgs":true,"family":"Giersch","given":"J.","email":"jgiersch@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":727483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ali, Omar","contributorId":202051,"corporation":false,"usgs":false,"family":"Ali","given":"Omar","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":727484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jordan, Steve","contributorId":168297,"corporation":false,"usgs":false,"family":"Jordan","given":"Steve","email":"","affiliations":[{"id":25242,"text":"Department of Biology, Bucknell University, Lewisburg, Pennsylvania 17837, USA","active":true,"usgs":false}],"preferred":false,"id":727485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Michael R.","contributorId":45796,"corporation":false,"usgs":false,"family":"Miller","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":12709,"text":"Department of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":727486,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":727487,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weisrock, David W.","contributorId":198313,"corporation":false,"usgs":false,"family":"Weisrock","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":727488,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70195104,"text":"70195104 - 2018 - Quaternary sea-level history and the origin of the northernmost coastal aeolianites in the Americas: Channel Islands National Park, California, USA","interactions":[],"lastModifiedDate":"2018-03-23T12:23:46","indexId":"70195104","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary sea-level history and the origin of the northernmost coastal aeolianites in the Americas: Channel Islands National Park, California, USA","docAbstract":"Along most of the Pacific Coast of North America, sand dunes are dominantly silicate-rich. On the California Channel Islands, however, dunes are carbonate-rich, due to high productivity offshore and a lack of dilution by silicate minerals. Older sands on the Channel Islands contain enough carbonate to be cemented into aeolianite. Several generations of carbonate aeolianites are present on the California Channel Islands and represent the northernmost Quaternary coastal aeolianites on the Pacific Coast of North America. The oldest aeolianites on the islands may date to the early Pleistocene and thus far have only been found on Santa Cruz Island. Aeolianites with well-developed soils are found on both San Miguel Island and Santa Rosa Island and likely date to the middle Pleistocene. The youngest and best-dated aeolianites are located on San Miguel Island and Santa Rosa Island. These sediments were deposited during the late Pleistocene following the emergence of marine terraces that date to the last interglacial complex (~ 120,000 yr to ~ 80,000 yr). Based on radiocarbon and luminescence dating, the ages of these units correspond in time with marine isotope stages [MIS] 4, 3, and 2. Sea level was significantly lower than present during all three time periods. Reconstruction of insular paleogeography indicates that large areas to the north and northwest of the islands would have been exposed at these times, providing a ready source of carbonate-rich skeletal sands. These findings differ from a previously held concept that carbonate aeolianites are dominantly an interglacial phenomenon forming during high stands of sea. In contrast, our results are consistent with the findings of other investigators of the past decade who have reported evidence of glacial-age and interstadial-age aeolianites on coastlines of Australia and South Africa. They are also consistent with observations made by Darwin regarding the origin of aeolianites on the island of St. Helena, in the South Atlantic Ocean, more than a century and a half ago.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2017.11.042","usgsCitation":"Muhs, D., Pigati, J.S., Schumann, R.R., Skipp, G.L., Porat, N., and DeVogel, S.B., 2018, Quaternary sea-level history and the origin of the northernmost coastal aeolianites in the Americas: Channel Islands National Park, California, USA: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 491, p. 38-76, https://doi.org/10.1016/j.palaeo.2017.11.042.","productDescription":"39 p.","startPage":"38","endPage":"76","ipdsId":"IP-083839","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2017.11.042","text":"Publisher Index Page"},{"id":351311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.728759765625,\n 33.76088200086917\n ],\n [\n -119.28955078124999,\n 33.76088200086917\n ],\n [\n -119.28955078124999,\n 34.19135773925218\n ],\n [\n -120.728759765625,\n 34.19135773925218\n ],\n [\n -120.728759765625,\n 33.76088200086917\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"491","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e70e4b00f54eb2292c5","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":726945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":726946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":726947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skipp, Gary L. 0000-0002-9404-0980","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":201777,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":726948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porat, Naomi","contributorId":201778,"corporation":false,"usgs":false,"family":"Porat","given":"Naomi","email":"","affiliations":[{"id":13093,"text":"Geological Survey of Israel ","active":true,"usgs":false}],"preferred":false,"id":726949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeVogel, Stephen B.","contributorId":150196,"corporation":false,"usgs":false,"family":"DeVogel","given":"Stephen","email":"","middleInitial":"B.","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":726950,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195240,"text":"70195240 - 2018 - Removing rural roads from the National Land Cover Database to create improved urban maps for the United States, 1992-2011","interactions":[],"lastModifiedDate":"2025-01-29T15:55:10.456084","indexId":"70195240","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Removing rural roads from the National Land Cover Database to create improved urban maps for the United States, 1992-2011","docAbstract":"Quantifying change in urban land provides important information to create empirical models examining the effects of human land use. Maps of developed land from the National Land Cover Database (NLCD) of the conterminous United States include rural roads in the developed land class and therefore overestimate the amount of urban land. To better map the urban class and understand how urban lands change over time, we removed rural roads and small patches of rural development from the NLCD developed class and created four wall-to-wall maps (1992, 2001, 2006, and 2011) of urban land. Removing rural roads from the NLCD developed class involved a multi-step filtering process, data fusion using geospatial road and developed land data, and manual editing. Reference data classified as urban or not urban from a stratified random sample was used to assess the accuracy of the 2001 and 2006 urban and NLCD maps. The newly created urban maps had higher overall accuracy (98.7 percent) than the NLCD maps (96.2 percent). More importantly, the urban maps resulted in lower commission error of the urban class (23 percent versus 57 percent for the NLCD in 2006) with the trade-off of slightly inflated omission error (20 percent for the urban map, 16 percent for NLCD in 2006). The removal of approximately 230,000 km2 of rural roads from the NLCD developed class resulted in maps that better characterize the urban footprint. These urban maps are more suited to modeling applications and policy decisions that rely on quantitative and spatially explicit information regarding urban lands.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.84.2.101","usgsCitation":"Soulard, C.E., Acevedo, W., and Stehman, S.V., 2018, Removing rural roads from the National Land Cover Database to create improved urban maps for the United States, 1992-2011: Photogrammetric Engineering and Remote Sensing, v. 84, no. 2, p. 101-109, https://doi.org/10.14358/PERS.84.2.101.","productDescription":"9 p.","startPage":"101","endPage":"109","ipdsId":"IP-082476","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":489910,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.84.2.101","text":"Publisher Index Page"},{"id":351268,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361096,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70195240/70195240.pdf","text":"USGS open-access version of article","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","volume":"84","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e69e4b00f54eb22926e","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":727583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":727584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":727585,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195211,"text":"70195211 - 2018 - Hypocenter relocation along the Sunda arc in Indonesia, using a 3D seismic velocity model","interactions":[],"lastModifiedDate":"2018-02-28T10:04:58","indexId":"70195211","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Hypocenter relocation along the Sunda arc in Indonesia, using a 3D seismic velocity model","docAbstract":"The tectonics of the Sunda arc region is characterized by the junction of the Eurasian and Indo‐Australian tectonic plates, causing complex dynamics to take place. High‐seismicity rates in the Indonesian region occur due to the interaction between these tectonic plates. The availability of a denser network of seismometers after the earthquakes of
Consideration of ecological scale is fundamental to understanding and managing avian population growth and decline. Empirically driven models for population dynamics and demographic processes across multiple spatial scales can be powerful tools to help guide conservation actions. Integrated population models (IPMs) provide a framework for better parameter estimation by unifying multiple sources of data (e.g., count and demographic data). Hierarchical structure within such models that include random effects allow for varying degrees of data sharing across different spatiotemporal scales. We developed an IPM to investigate Greater Sage-Grouse (Centrocercus urophasianus) on the border of California and Nevada, known as the Bi-State Distinct Population Segment. Our analysis integrated 13 years of lek count data (n > 2,000) and intensive telemetry (VHF and GPS; n > 350 individuals) data across 6 subpopulations. Specifically, we identified the most parsimonious models among varying random effects and density-dependent terms for each population vital rate (e.g., nest survival). Using a joint likelihood process, we integrated the lek count data with the demographic models to estimate apparent abundance and refine vital rate parameter estimates. To investigate effects of climatic conditions, we extended the model to fit a precipitation covariate for instantaneous rate of change (r). At a metapopulation extent (i.e. Bi-State), annual population rate of change λ (er) did not favor an overall increasing or decreasing trend through the time series. However, annual changes in λ were driven by changes in precipitation (one-year lag effect). At subpopulation extents, we identified substantial variation in λ and demographic rates. One subpopulation clearly decoupled from the trend at the metapopulation extent and exhibited relatively high risk of extinction as a result of low egg fertility. These findings can inform localized, targeted management actions for specific areas, and status of the species for the larger Bi-State.
","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-17-137.1","usgsCitation":"Coates, P.S., Prochazka, B., Ricca, M.A., Halstead, B., Casazza, M.L., Blomberg, E.J., Brussee, B.E., Wiechman, L., Tebbenkamp, J., Gardner, S.C., and Reese, K.P., 2018, The relative importance of intrinsic and extrinsic drivers to population growth vary among local populations of Greater Sage-Grouse: An integrated population modeling approach: The Auk, v. 135, no. 2, p. 240-261, https://doi.org/10.1642/AUK-17-137.1.","productDescription":"22 p.","startPage":"240","endPage":"261","ipdsId":"IP-090891","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469019,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1642/AUK-17-137.1","text":"External 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0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":733985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blomberg, Erik J.","contributorId":17543,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":733986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":733987,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wiechman, Lief","contributorId":108039,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","affiliations":[],"preferred":false,"id":733988,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tebbenkamp, Joel","contributorId":25089,"corporation":false,"usgs":true,"family":"Tebbenkamp","given":"Joel","email":"","affiliations":[],"preferred":false,"id":733989,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gardner, Scott C.","contributorId":192081,"corporation":false,"usgs":false,"family":"Gardner","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":733990,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reese, Kerry P.","contributorId":70254,"corporation":false,"usgs":true,"family":"Reese","given":"Kerry","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":733991,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70195195,"text":"70195195 - 2018 - Floodplain trapping and cycling compared to streambank erosion of sediment and nutrients in an agricultural watershed","interactions":[],"lastModifiedDate":"2018-04-02T13:51:41","indexId":"70195195","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Floodplain trapping and cycling compared to streambank erosion of sediment and nutrients in an agricultural watershed","docAbstract":"Floodplains and streambanks can positively and negatively influence downstream water quality through interacting geomorphic and biogeochemical processes. Few studies have measured those processes in agricultural watersheds. We measured inputs (floodplain sedimentation and dissolved inorganic loading), cycling (floodplain soil nitrogen [N] and phosphorus [P] mineralization), and losses (bank erosion) of sediment, N, and P longitudinally in stream reaches of Smith Creek, an agricultural watershed in the Valley and Ridge physiographic province. All study reaches were net depositional (floodplain deposition > bank erosion), had high N and P sedimentation and loading rates to the floodplain, high soil concentrations of N and P, and high rates of floodplain soil N and P mineralization. High sediment, N, and P inputs to floodplains are attributed to agricultural activity in the region. Rates of P mineralization were much greater than those measured in other studies of nontidal floodplains that used the same method. Floodplain connectivity and sediment deposition decreased longitudinally, contrary to patterns in most watersheds. The net trapping function of Smith Creek floodplains indicates a benefit to water quality. Further research is needed to determine if future decreases in floodplain deposition, continued bank erosion, and the potential for nitrate leaching from nutrient-enriched floodplain soils could pose a long-term source of sediment and nutrients to downstream rivers.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12624","usgsCitation":"Gillespie, J., Noe, G.E., Hupp, C.R., Gellis, A.C., and Schenk, E., 2018, Floodplain trapping and cycling compared to streambank erosion of sediment and nutrients in an agricultural watershed: Journal of the American Water Resources Association, v. 54, no. 2, p. 565-582, https://doi.org/10.1111/1752-1688.12624.","productDescription":"18 p.","startPage":"565","endPage":"582","ipdsId":"IP-081496","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":438021,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z036BD","text":"USGS data release","linkHelpText":"Floodplain sedimentation, bank erosion, and biogeochemical cycling of sediment and nutrients in Smith Creek (Virginia) 2012-2015"},{"id":351245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.8667,\n 38.4167\n ],\n [\n -78.55,\n 38.4167\n ],\n [\n -78.55,\n 38.7333\n ],\n [\n -78.8667,\n 38.7333\n ],\n [\n -78.8667,\n 38.4167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-22","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ce4b00f54eb229289","contributors":{"authors":[{"text":"Gillespie, Jaimie 0000-0002-6483-0359","orcid":"https://orcid.org/0000-0002-6483-0359","contributorId":202016,"corporation":false,"usgs":true,"family":"Gillespie","given":"Jaimie","email":"","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":727380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":727381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":727382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schenk, Edward R.","contributorId":202017,"corporation":false,"usgs":false,"family":"Schenk","given":"Edward R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":727384,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195200,"text":"70195200 - 2018 - Molecular testing of adult Pacific salmon and trout (Oncorhynchus spp.) for several RNA viruses demonstrates widespread distribution of piscine orthoreovirus in Alaska and Washington","interactions":[],"lastModifiedDate":"2018-02-07T12:44:31","indexId":"70195200","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Molecular testing of adult Pacific salmon and trout (Oncorhynchus spp.) for several RNA viruses demonstrates widespread distribution of piscine orthoreovirus in Alaska and Washington","title":"Molecular testing of adult Pacific salmon and trout (Oncorhynchus spp.) for several RNA viruses demonstrates widespread distribution of piscine orthoreovirus in Alaska and Washington","docAbstract":"This research was initiated in conjunction with a systematic, multiagency surveillance effort in the United States (U.S.) in response to reported findings of infectious salmon anaemia virus (ISAV) RNA in British Columbia, Canada. In the systematic surveillance study reported in a companion paper, tissues from various salmonids taken from Washington and Alaska were surveyed for ISAV RNA using the U.S.-approved diagnostic method, and samples were released for use in this present study only after testing negative. Here, we tested a subset of these samples for ISAV RNA with three additional published molecular assays, as well as for RNA from salmonid alphavirus (SAV), piscine myocarditis virus (PMCV) and piscine orthoreovirus (PRV). All samples (n = 2,252; 121 stock cohorts) tested negative for RNA from ISAV, PMCV, and SAV. In contrast, there were 25 stock cohorts from Washington and Alaska that had one or more individuals test positive for PRV RNA; prevalence within stocks varied and ranged from 2% to 73%. The overall prevalence of PRV RNA-positive individuals across the study was 3.4% (77 of 2,252 fish tested). Findings of PRV RNA were most common in coho (Oncorhynchus kisutch Walbaum) and Chinook (O. tshawytscha Walbaum) salmon.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.12740","usgsCitation":"Purcell, M.K., Thompson, R.L., Evered, J., Kerwin, J., Meyers, T.R., Stewart, B., and Winton, J., 2018, Molecular testing of adult Pacific salmon and trout (Oncorhynchus spp.) for several RNA viruses demonstrates widespread distribution of piscine orthoreovirus in Alaska and Washington: Journal of Fish Diseases, v. 41, no. 2, p. 347-355, https://doi.org/10.1111/jfd.12740.","productDescription":"13 p.","startPage":"347","endPage":"355","ipdsId":"IP-082523","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469011,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfd.12740","text":"Publisher Index Page"},{"id":438019,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VX0F1H","text":"USGS data release","linkHelpText":"Final Dataset: Molecular testing of adult Pacific salmon and trout (Oncorhynchus spp.) for several RNA viruses demonstrates widespread distribution of piscine orthoreovirus (PRV) in Alaska and Washington"},{"id":351241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Washington","volume":"41","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-21","publicationStatus":"PW","scienceBaseUri":"5a7c1e6be4b00f54eb229282","contributors":{"authors":[{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Rachel L. 0000-0001-6901-4361 rlthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-6901-4361","contributorId":5707,"corporation":false,"usgs":true,"family":"Thompson","given":"Rachel","email":"rlthompson@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evered, Joy","contributorId":127579,"corporation":false,"usgs":false,"family":"Evered","given":"Joy","affiliations":[{"id":7061,"text":"U.S. FWS, DOI","active":true,"usgs":false}],"preferred":false,"id":727407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kerwin, John","contributorId":127577,"corporation":false,"usgs":false,"family":"Kerwin","given":"John","email":"","affiliations":[{"id":7060,"text":"Washington State Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":727408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyers, Ted R.","contributorId":202026,"corporation":false,"usgs":false,"family":"Meyers","given":"Ted","email":"","middleInitial":"R.","affiliations":[{"id":36327,"text":"Alaska Department of Fish and Game, Division of Commercial Fisheries, 1255 W. 8th Street Juneau, AK 99802, USA","active":true,"usgs":false}],"preferred":false,"id":727409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Bruce","contributorId":127576,"corporation":false,"usgs":false,"family":"Stewart","given":"Bruce","email":"","affiliations":[{"id":7059,"text":"Northwest Indian Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":727410,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winton, James 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":179330,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727411,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194701,"text":"sir20175151 - 2018 - Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico","interactions":[],"lastModifiedDate":"2018-02-07T17:11:00","indexId":"sir20175151","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5151","title":"Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Bureau of Land Management, conducted a study to assess the water resources and potential effects on the water resources from oil and gas development in the Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area.
The Tri-County planning area includes approximately 9.3 million acres and is within the eastern extent of the Basin and Range Province, which consists of mountain ranges and low elevation basins. Three specific areas of interest within the Tri-County planning area are the Jornada del Muerto, Tularosa Basin, and Otero Mesa, which is adjacent to the Salt Basin. Surface-water resources are limited in the Tri-County planning area, with the Rio Grande as the main perennial river flowing from north to south through Sierra and Doña Ana Counties. The Tularosa Creek is an important surface-water resource in the Tularosa Basin. The Sacramento River, which flows southeast out of the Sacramento Mountains, is an important source of recharge to aquifers in the Salt Basin. Groundwater resources vary in aquifer type, depth to water, and water quality. For example, the Jornada del Muerto, Tularosa Basin, and Salt Basin each have shallow and deep aquifer systems, and water can range from freshwater, with less than 1,000 milligrams per liter (mg/L) of total dissolved solids, to brine, with greater than 35,000 mg/L of total dissolved solids. Water quality in the Tri-County planning area is affected by the dissolution of salt deposits and evaporation which are common in arid regions such as southern New Mexico.
The potential for oil and gas development exists in several areas within the Tri-County area. As many as 81 new conventional wells and 25 coalbed natural gas wells could be developed by 2035. Conventional oil and gas well construction in the Tri-County planning area is expected to require 1.53 acre-feet (acre-ft) (500,000 gallons) of water per well, similar to requirements in the nearby Permian Basin of New Mexico, while construction of unconventional wells is expected to require 7.3 acre-ft of water per well. Produced waters in the Permian Basin have high total dissolved solids, in the brackish to brine range.
Data gaps identified in this study include the limited detailed data on surface-water resources, the lack of groundwater data in areas of interest, and the lack of water chemistry data related to oil and gas development issues. Surface waters in the Tri-County planning area are sparse; some streams are perennial, and most are ephemeral. A more detailed study of the ephemeral channels and their interaction with groundwater could provide a better understanding of the importance of these surface-water resources. Groundwater data used in this study are from the USGS National Water Information System, which does not have continuous water-level depth data at many of the sites in the Tri-County planning area. On Otero Mesa, no recurrent groundwater-level data are available at any one site. The water-quality data compiled in this study provide a good overview of the general chemistry of groundwater in the Tri-County planning area. To fully understand the groundwater resources, it would be helpful to have more wells in specific areas of interest for groundwater-level and water-quality measurements.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175151","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Blake, J.M., Miltenberger, Keely, Stewart, Anne, Ritchie, Andre, Montoya, Jennifer, Durr, Corey, McHugh, Amy, and Charles, Emmanuel, 2018, Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico: U.S. Geological Survey Scientific Investigations Report 2017–5151, 87 p., https://doi.org/10.3133/sir20175151. ","productDescription":"Report: x, 87 p.; Data Release","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-085998","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":351050,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5151/coverthb.jpg"},{"id":351051,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5151/sir20175151.pdf","text":"Report","size":"12.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5151"},{"id":351052,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DR2T0M","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geodatabase supporting the assessment of hydrologic resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County Planning Area, Sierra, Doña Ana, and Otero Counties, New 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Ana\",\"state\":\"NM\"}}]}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
5338 Montgomery Blvd., NE Suite 400
Albuquerque, NM 87109–1311
Global-scale studies suggest that dryland ecosystems dominate an increasing trend in the magnitude and interannual variability of the land CO2 sink. However, such model-based analyses are poorly constrained by measured CO2 exchange in open shrublands, which is the most common global land cover type, covering ∼14% of Earth’s surface. Here we evaluate how the amount and seasonal timing of water availability regulate CO2 exchange between shrublands and the atmosphere. We use eddy covariance data from six US sites across the three warm deserts of North America with observed ranges in annual precipitation of ∼100–400mm, annual temperatures of 13–18°C, and records of 2–8 years (33 site-years in total). The Chihuahuan, Sonoran and Mojave Deserts present gradients in both mean annual precipitation and its seasonal distribution between the wet-winter Mojave Desert and the wet-summer Chihuahuan Desert. We found that due to hydrologic losses during the wettest summers in the Sonoran and Chihuahuan Deserts, evapotranspiration (ET) was a better metric than precipitation of water available to drive dryland CO2 exchange. In contrast with recent synthesis studies across diverse dryland biomes, we found that NEP could not be directly predicted from ET due to wintertime decoupling of the relationship between ecosystem respiration (Reco) and gross ecosystem productivity (GEP). Ecosystem water use efficiency (WUE=GEP/ET) did not differ between winter and summer. Carbon use efficiency (CUE=NEP/GEP), however, was greater in winter because Reco returned a smaller fraction of carbon to the atmosphere (23% of GEP) than in summer (77%). Combining the water-carbon relations found here with historical precipitation since 1980, we estimate that lower average winter precipitation during the 21st century reduced the net carbon sink of the three deserts by an average of 6.8TgC yr1. Our results highlight that winter precipitation is critical to the annual carbon balance of these warm desert shrublands.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2017.11.005","usgsCitation":"Biederman, J.A., Scott, R.L., Arnone, J.A., Jasoni, R.L., Litvak, M.E., Moreo, M.T., Papuga, S.A., Ponce-Campos, G.E., Schreiner-McGraw, A.P., and Vivoni, E.R., 2018, Shrubland carbon sink depends upon winter water availability in the warm deserts of North America: Agricultural and Forest Meteorology, v. 249, p. 407-419, https://doi.org/10.1016/j.agrformet.2017.11.005.","productDescription":"13 p.","startPage":"407","endPage":"419","ipdsId":"IP-088519","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":469024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1549057","text":"Publisher Index Page"},{"id":351309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"249","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e6ee4b00f54eb2292a1","contributors":{"authors":[{"text":"Biederman, Joel A.","contributorId":201939,"corporation":false,"usgs":false,"family":"Biederman","given":"Joel","email":"","middleInitial":"A.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":727236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Russell L.","contributorId":39875,"corporation":false,"usgs":false,"family":"Scott","given":"Russell","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":727237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnone, John A.","contributorId":201941,"corporation":false,"usgs":false,"family":"Arnone","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":727238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jasoni, Richard L.","contributorId":201942,"corporation":false,"usgs":false,"family":"Jasoni","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":727239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Litvak, Marcy E.","contributorId":73932,"corporation":false,"usgs":true,"family":"Litvak","given":"Marcy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":727240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moreo, Michael T. 0000-0002-9122-6958 mtmoreo@usgs.gov","orcid":"https://orcid.org/0000-0002-9122-6958","contributorId":2363,"corporation":false,"usgs":true,"family":"Moreo","given":"Michael","email":"mtmoreo@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Papuga, Shirley A.","contributorId":197727,"corporation":false,"usgs":false,"family":"Papuga","given":"Shirley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":727241,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ponce-Campos, Guillermo E.","contributorId":201945,"corporation":false,"usgs":false,"family":"Ponce-Campos","given":"Guillermo","email":"","middleInitial":"E.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":727242,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schreiner-McGraw, Adam P.","contributorId":201946,"corporation":false,"usgs":false,"family":"Schreiner-McGraw","given":"Adam","email":"","middleInitial":"P.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727243,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vivoni, Enrique R.","contributorId":139052,"corporation":false,"usgs":false,"family":"Vivoni","given":"Enrique","email":"","middleInitial":"R.","affiliations":[{"id":12634,"text":"School of Earth and Space Exploration and School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":727244,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70195168,"text":"70195168 - 2018 - Accurate ocean bottom seismometer positioning method inspired by multilateration technique","interactions":[],"lastModifiedDate":"2018-07-03T11:38:27","indexId":"70195168","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2701,"text":"Mathematical Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Accurate ocean bottom seismometer positioning method inspired by multilateration technique","docAbstract":"The positioning of ocean bottom seismometers (OBS) is a key step in the processing flow of OBS data, especially in the case of self popup types of OBS instruments. The use of first arrivals from airgun shots, rather than relying on the acoustic transponders mounted in the OBS, is becoming a trend and generally leads to more accurate positioning due to the statistics from a large number of shots. In this paper, a linearization of the OBS positioning problem via the multilateration technique is discussed. The discussed linear solution solves jointly for the average water layer velocity and the OBS position using only shot locations and first arrival times as input data.
","language":"English","publisher":"Springer","doi":"10.1007/s11004-017-9719-5","usgsCitation":"Benazzouz, O., Pinheiro, L.M., Matias, L.M., Afilhado, A., Herold, D., and Haines, S.S., 2018, Accurate ocean bottom seismometer positioning method inspired by multilateration technique: Mathematical Geosciences, v. 50, no. 5, p. 569-584, https://doi.org/10.1007/s11004-017-9719-5.","productDescription":"16 p.","startPage":"569","endPage":"584","ipdsId":"IP-075056","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469020,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10400.21/9110","text":"External Repository"},{"id":351283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-08","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ce4b00f54eb229293","contributors":{"authors":[{"text":"Benazzouz, Omar","contributorId":201961,"corporation":false,"usgs":false,"family":"Benazzouz","given":"Omar","email":"","affiliations":[{"id":36309,"text":"University of Aveiro, Portugal","active":true,"usgs":false}],"preferred":false,"id":727281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinheiro, Luis M.","contributorId":201962,"corporation":false,"usgs":false,"family":"Pinheiro","given":"Luis","email":"","middleInitial":"M.","affiliations":[{"id":36309,"text":"University of Aveiro, Portugal","active":true,"usgs":false}],"preferred":false,"id":727282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matias, Luis M. A.","contributorId":201963,"corporation":false,"usgs":false,"family":"Matias","given":"Luis","email":"","middleInitial":"M. A.","affiliations":[{"id":36310,"text":"Dom Luiz Institute, Portugal","active":true,"usgs":false}],"preferred":false,"id":727283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Afilhado, Alexandra","contributorId":201964,"corporation":false,"usgs":false,"family":"Afilhado","given":"Alexandra","email":"","affiliations":[{"id":36311,"text":"Superior Institute of Engineering of Lisbon, Portugal","active":true,"usgs":false}],"preferred":false,"id":727284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herold, Daniel","contributorId":201965,"corporation":false,"usgs":false,"family":"Herold","given":"Daniel","email":"","affiliations":[{"id":36312,"text":"Parallel Geoscience Corporation","active":true,"usgs":false}],"preferred":false,"id":727285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":727280,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195100,"text":"70195100 - 2018 - The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands","interactions":[],"lastModifiedDate":"2018-02-07T13:47:07","indexId":"70195100","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands","docAbstract":"While airborne lidar data have revolutionized the spatial resolution that elevations can be realized, data limitations are often magnified in coastal settings. Researchers have found that airborne lidar can have a vertical error as high as 60 cm in densely vegetated intertidal areas. The uncertainty of digital elevation models is often left unaddressed; however, in low-relief environments, such as barrier islands, centimeter differences in elevation can affect exposure to physically demanding abiotic conditions, which greatly influence ecosystem structure and function. In this study, we used airborne lidar elevation data, in situ elevation observations, lidar metadata, and tide gauge information to delineate low-lying lands and the intertidal wetlands on Dauphin Island, a barrier island along the coast of Alabama, USA. We compared three different elevation error treatments, which included leaving error untreated and treatments that used Monte Carlo simulations to incorporate elevation vertical uncertainty using general information from lidar metadata and site-specific Real-Time Kinematic Global Position System data, respectively. To aid researchers in instances where limited information is available for error propagation, we conducted a sensitivity test to assess the effect of minor changes to error and bias. Treatment of error with site-specific observations produced the fewest omission errors, although the treatment using the lidar metadata had the most well-balanced results. The percent coverage of intertidal wetlands was increased by up to 80% when treating the vertical error of the digital elevation models. Based on the results from the sensitivity analysis, it could be reasonable to use error and positive bias values from literature for similar environments, conditions, and lidar acquisition characteristics in the event that collection of site-specific data is not feasible and information in the lidar metadata is insufficient. The methodology presented in this study should increase efficiency and enhance results for habitat mapping and analyses in dynamic, low-relief coastal environments.
","language":"English","publisher":"MDPI","doi":"10.3390/rs10010005","usgsCitation":"Enwright, N.M., Wang, L., Borchert, S., Day, R.H., Feher, L.C., and Osland, M.J., 2018, The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands: Remote Sensing, v. 10, no. 1, p. 1-18, https://doi.org/10.3390/rs10010005.","productDescription":"Article 5; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-092535","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469015,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs10010005","text":"Publisher Index Page"},{"id":438022,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7125RVT","text":"USGS data release","linkHelpText":"The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands"},{"id":351280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.35548400878906,\n 30.201520239640427\n ],\n [\n -88.05473327636719,\n 30.201520239640427\n ],\n [\n -88.05473327636719,\n 30.282788098216884\n ],\n [\n -88.35548400878906,\n 30.282788098216884\n ],\n [\n -88.35548400878906,\n 30.201520239640427\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-21","publicationStatus":"PW","scienceBaseUri":"5a7c1e71e4b00f54eb2292d1","contributors":{"authors":[{"text":"Enwright, Nicholas M. 0000-0002-7887-3261 enwrightn@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":4880,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","email":"enwrightn@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Lei","contributorId":193279,"corporation":false,"usgs":false,"family":"Wang","given":"Lei","email":"","affiliations":[],"preferred":false,"id":726925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borchert, Sinéad M. 0000-0002-6665-7115","orcid":"https://orcid.org/0000-0002-6665-7115","contributorId":193278,"corporation":false,"usgs":false,"family":"Borchert","given":"Sinéad M.","affiliations":[],"preferred":false,"id":726926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","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":726927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feher, Laura C. 0000-0002-5983-6190 lhundy@usgs.gov","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":176788,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","email":"lhundy@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195284,"text":"70195284 - 2018 - Relationships between indicators of acid-base chemistry and fish assemblages in streams of the Great Smoky Mountains National Park","interactions":[],"lastModifiedDate":"2018-02-07T12:08:06","indexId":"70195284","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between indicators of acid-base chemistry and fish assemblages in streams of the Great Smoky Mountains National Park","docAbstract":"The acidity of many streams in the Great Smoky Mountains National Park (GRSM) has increased significantly since pre-industrial (∼1850) times due to the effects of highly acidic atmospheric deposition in poorly buffered watersheds. Extensive stream-monitoring programs since 1993 have shown that fish and macroinvertebrate assemblages have been adversely affected in many streams across the GRSM. Matching chemistry and fishery information collected from 389 surveys performed at 52 stream sites over a 22-year period were assessed using logistic regression analysis to help inform the U.S. Environmental Protection Agency’s assessment of the environmental impacts of emissions of oxides of nitrogen (NOx) and sulfur (SOx). Numerous logistic equations and associated curves were derived that defined the relations between acid neutralizing capacity (ANC) or pH and different levels of community richness, density, and biomass; and density and biomass of brook trout, rainbow trout, and small prey (minnow) populations in streams of the GRSM. The equations and curves describe the status of fish assemblages in the GRSM under contemporary emission levels and deposition loads of nitrogen (N) and sulfur (S) and provide a means to estimate how newly proposed (and various alternative) target deposition loads, which strongly influence stream ANC, might affect key ecological indicators. Several examples using ANC, community richness, and brook trout density are presented to illustrate the steps needed to predict how future changes in stream chemistry (resulting from different target deposition loads of N and S) will affect the probabilities of observing specific levels of selected biological indicators in GRSM streams. The implications of this study to the regulation of NOx and SOx emissions, water quality, and fisheries management in streams of the GRSM are discussed, but also qualified by the fact that specific examples provided need to be further explored before recommendations concerning their use as ecological indicators could be proposed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2018.01.021","usgsCitation":"Baldigo, B.P., Kulp, M.A., and Schwartz, J.S., 2018, Relationships between indicators of acid-base chemistry and fish assemblages in streams of the Great Smoky Mountains National Park: Ecological Indicators, v. 88, p. 465-484, https://doi.org/10.1016/j.ecolind.2018.01.021.","productDescription":"20 p.","startPage":"465","endPage":"484","ipdsId":"IP-083415","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":351234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.16900634765625,\n 35.34201475584807\n ],\n [\n -82.72979736328125,\n 35.34201475584807\n ],\n [\n -82.72979736328125,\n 35.92909271208457\n ],\n [\n -84.16900634765625,\n 35.92909271208457\n ],\n [\n -84.16900634765625,\n 35.34201475584807\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e69e4b00f54eb22926b","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulp, Matt A.","contributorId":196801,"corporation":false,"usgs":false,"family":"Kulp","given":"Matt","email":"","middleInitial":"A.","affiliations":[{"id":35484,"text":"National Park Service, Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":727729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, John S.","contributorId":196802,"corporation":false,"usgs":false,"family":"Schwartz","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":36358,"text":" University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":727730,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195156,"text":"70195156 - 2018 - Time series sightability modeling of animal populations","interactions":[],"lastModifiedDate":"2018-02-07T13:33:48","indexId":"70195156","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Time series sightability modeling of animal populations","docAbstract":"Logistic regression models—or “sightability models”—fit to detection/non-detection data from marked individuals are often used to adjust for visibility bias in later detection-only surveys, with population abundance estimated using a modified Horvitz-Thompson (mHT) estimator. More recently, a model-based alternative for analyzing combined detection/non-detection and detection-only data was developed. This approach seemed promising, since it resulted in similar estimates as the mHT when applied to data from moose (Alces alces) surveys in Minnesota. More importantly, it provided a framework for developing flexible models for analyzing multiyear detection-only survey data in combination with detection/non-detection data. During initial attempts to extend the model-based approach to multiple years of detection-only data, we found that estimates of detection probabilities and population abundance were sensitive to the amount of detection-only data included in the combined (detection/non-detection and detection-only) analysis. Subsequently, we developed a robust hierarchical modeling approach where sightability model parameters are informed only by the detection/non-detection data, and we used this approach to fit a fixed-effects model (FE model) with year-specific parameters and a temporally-smoothed model (TS model) that shares information across years via random effects and a temporal spline. The abundance estimates from the TS model were more precise, with decreased interannual variability relative to the FE model and mHT abundance estimates, illustrating the potential benefits from model-based approaches that allow information to be shared across years.
","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0190706","usgsCitation":"ArchMiller, A.A., Dorazio, R., St. Clair, K., and Fieberg, J.R., 2018, Time series sightability modeling of animal populations: PLoS ONE, v. 13, no. 1, p. 1-16, https://doi.org/10.1371/journal.pone.0190706.","productDescription":"e0190706; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-085670","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0190706","text":"Publisher Index Page"},{"id":351270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-12","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ee4b00f54eb2292a6","contributors":{"authors":[{"text":"ArchMiller, Althea A.","contributorId":194336,"corporation":false,"usgs":false,"family":"ArchMiller","given":"Althea","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":727232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":727231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"St. Clair, Katherine","contributorId":201938,"corporation":false,"usgs":false,"family":"St. Clair","given":"Katherine","email":"","affiliations":[{"id":36306,"text":"Dept. of Mathematics and Statistics, Carleton College","active":true,"usgs":false}],"preferred":false,"id":727233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fieberg, John R. 0000-0002-3180-7021","orcid":"https://orcid.org/0000-0002-3180-7021","contributorId":194333,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":727234,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195285,"text":"70195285 - 2018 - Juvenile coho salmon growth and health in streams across an urbanization gradient","interactions":[],"lastModifiedDate":"2018-02-07T12:12:02","indexId":"70195285","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile coho salmon growth and health in streams across an urbanization gradient","docAbstract":"Expanding human population and urbanization alters freshwater systems through structural changes to habitat, temperature effects from increased runoff and reduced canopy cover, altered flows, and increased toxicants. Current stream assessments stop short of measuring health or condition of species utilizing these freshwater habitats and fail to link specific stressors mechanistically to the health of organisms in the stream. Juvenile fish growth integrates both external and internal conditions providing a useful indicator of habitat quality and ecosystem health. Thus, there is a need to account for ecological and environmental influences on fish growth accurately. Bioenergetics models can simulate changes in growth and consumption in response to environmental conditions and food availability to account for interactions between an organism's environmental experience and utilization of available resources. The bioenergetics approach accounts for how thermal regime, food supply, and food quality affect fish growth. This study used a bioenergetics modeling approach to evaluate the environmental factors influencing juvenile coho salmon growth among ten Pacific Northwest streams spanning an urban gradient. Urban streams tended to be warmer, have earlier emergence dates and stronger early season growth. However, fish in urban streams experienced increased stress through lower growth efficiencies, especially later in the summer as temperatures warmed, with as much as a 16.6% reduction when compared to fish from other streams. Bioenergetics modeling successfully characterized salmonid growth in small perennial streams as part of a more extensive monitoring program and provides a powerful assessment tool for characterizing mixed life-stage specific responses in urban streams.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.12.327","usgsCitation":"Spanjer, A., Moran, P.W., Larsen, K., Wetzel, L., Hansen, A.G., and Beauchamp, D.A., 2018, Juvenile coho salmon growth and health in streams across an urbanization gradient: Science of the Total Environment, v. 625, p. 1003-1012, https://doi.org/10.1016/j.scitotenv.2017.12.327.","productDescription":"10 p.","startPage":"1003","endPage":"1012","ipdsId":"IP-091284","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469018,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.12.327","text":"Publisher Index Page"},{"id":438023,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7W094WD","text":"USGS data release","linkHelpText":"Influence of urbanization on the health of juvenile salmonids in Pacific Northwest perennial streams"},{"id":351235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"625","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e68e4b00f54eb229268","contributors":{"authors":[{"text":"Spanjer, Andrew R.","contributorId":202171,"corporation":false,"usgs":false,"family":"Spanjer","given":"Andrew R.","affiliations":[{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":727732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larsen, Kimberly 0000-0001-7978-2452","orcid":"https://orcid.org/0000-0001-7978-2452","contributorId":202172,"corporation":false,"usgs":true,"family":"Larsen","given":"Kimberly","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wetzel, Lisa 0000-0003-3178-9940","orcid":"https://orcid.org/0000-0003-3178-9940","contributorId":202173,"corporation":false,"usgs":true,"family":"Wetzel","given":"Lisa","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Adam G.","contributorId":197415,"corporation":false,"usgs":false,"family":"Hansen","given":"Adam","email":"","middleInitial":"G.","affiliations":[{"id":34919,"text":"Colorado Parks and Wildlife, 317 West Prospect Road, Fort Collins, Colorado 80526, USA","active":true,"usgs":false}],"preferred":false,"id":727736,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727731,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195166,"text":"70195166 - 2018 - Mapping elemental contamination on Palmyra Atoll National Wildlife Refuge","interactions":[],"lastModifiedDate":"2019-06-03T13:20:00","indexId":"70195166","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Mapping elemental contamination on Palmyra Atoll National Wildlife Refuge","docAbstract":"Palmyra Atoll, once a WWII U.S. Navy air station, is now a U.S. National Wildlife Refuge with nearly 50 km2 of coral reef and 275 ha of emergent lands with forests of Pisonia grandistrees and colonies of several bird species. Due to the known elemental and organic contamination from chemicals associated with aviation, power generation and transmission, waste management, and other air station activities, a screening survey to map elemental concentrations was conducted. A map of 1944 Navy facilities was georeferenced and identifiable features were digitized. These data informed a targeted survey of 25 elements in soils and sediment at locations known or suspected to be contaminated, using a hand-held X-ray fluorescence spectrometer. At dozens of locations, concentrations of elements exceeded established soil and marine sediment thresholds for adverse ecological effects. Results were compiled into a publicly available geospatial dataset to inform potential remediation and habitat restoration activities.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2017.12.065","usgsCitation":"Struckhoff, M.A., Orazio, C.E., Tillitt, D.E., Shaver, D.K., and Papoulias, D.M., 2018, Mapping elemental contamination on Palmyra Atoll National Wildlife Refuge: Marine Pollution Bulletin, v. 128, p. 97-105, https://doi.org/10.1016/j.marpolbul.2017.12.065.","productDescription":"9 p.","startPage":"97","endPage":"105","ipdsId":"IP-087627","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":469012,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2017.12.065","text":"Publisher Index Page"},{"id":351287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Palmyra Atoll National Wildlife Refuge","volume":"128","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e6de4b00f54eb229296","contributors":{"authors":[{"text":"Struckhoff, Matthew A. 0000-0002-4911-9956 mstruckhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":2095,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","email":"mstruckhoff@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orazio, Carl E. 0000-0002-2532-9668 corazio@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-9668","contributorId":1366,"corporation":false,"usgs":true,"family":"Orazio","given":"Carl","email":"corazio@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaver, David K. dshaver@usgs.gov","contributorId":1611,"corporation":false,"usgs":true,"family":"Shaver","given":"David","email":"dshaver@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":727275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727276,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195128,"text":"70195128 - 2018 - Volcanic ash activates the NLRP3 inflammasome in murine and human macrophages","interactions":[],"lastModifiedDate":"2018-02-22T12:57:33","indexId":"70195128","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5620,"text":"Frontiers in Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic ash activates the NLRP3 inflammasome in murine and human macrophages","docAbstract":"Volcanic ash is a heterogeneous mineral dust that is typically composed of a mixture of amorphous (glass) and crystalline (mineral) fragments. It commonly contains an abundance of the crystalline silica (SiO2) polymorph cristobalite. Inhalation of crystalline silica can induce inflammation by stimulating the NLRP3 inflammasome, a cytosolic receptor complex that plays a critical role in driving inflammatory immune responses. Ingested material results in the assembly of NLRP3, ASC, and caspase-1 with subsequent secretion of the interleukin-1 family cytokine IL-1β. Previous toxicology work suggests that cristobalite-bearing volcanic ash is minimally reactive, calling into question the reactivity of volcanically derived crystalline silica, in general. In this study, we target the NLRP3 inflammasome as a crystalline silica responsive element to clarify volcanic cristobalite reactivity. We expose immortalized bone marrow-derived macrophages of genetically engineered mice and primary human peripheral blood mononuclear cells (PBMCs) to ash from the Soufrière Hills volcano as well as representative, pure-phase samples of its primary componentry (volcanic glass, feldspar, cristobalite) and measure NLRP3 inflammasome activation. We demonstrate that respirable Soufrière Hills volcanic ash induces the activation of caspase-1 with subsequent release of mature IL-1β in a NLRP3 inflammasome-dependent manner. Macrophages deficient in NLRP3 inflammasome components are incapable of secreting IL-1β in response to volcanic ash ingestion. Cellular uptake induces lysosomal destabilization involving cysteine proteases. Furthermore, the response involves activation of mitochondrial stress pathways leading to the generation of reactive oxygen species. Considering ash componentry, cristobalite is the most reactive pure-phase with other components inducing only low-level IL-1β secretion. Inflammasome activation mediated by inhaled ash and its potential relevance in chronic pulmonary disease was further evidenced in PBMC using the NLRP3 small-molecule inhibitor CP-456,773 (CRID3, MCC950). Our data indicate the functional activation of the NLRP3 inflammasome by volcanic ash in murine and human macrophages in vitro. Cristobalite is identified as the apparent driver, thereby contesting previous assertions that chemical and structural imperfections may be sufficient to abrogate the reactivity of volcanically derived cristobalite. This is a novel mechanism for the stimulation of a pro-inflammatory response by volcanic particulate and provides new insight regarding chronic exposure to environmentally occurring particles.
","language":"English","publisher":"Frontiers","doi":"10.3389/fimmu.2017.02000","usgsCitation":"Damby, D., Horwell, C.J., Baxter, P.J., Kueppers, U., Schnurr, M., Dingwell, D.B., and Duewell, P., 2018, Volcanic ash activates the NLRP3 inflammasome in murine and human macrophages: Frontiers in Immunology, v. 8, Article 2000; 11 p., https://doi.org/10.3389/fimmu.2017.02000.","productDescription":"Article 2000; 11 p.","ipdsId":"IP-085438","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fimmu.2017.02000","text":"Publisher Index Page"},{"id":351297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-22","publicationStatus":"PW","scienceBaseUri":"5a7c1e6fe4b00f54eb2292ac","contributors":{"authors":[{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwell, Claire J.","contributorId":177455,"corporation":false,"usgs":false,"family":"Horwell","given":"Claire","email":"","middleInitial":"J.","affiliations":[{"id":16770,"text":"Dept. Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":727072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baxter, Peter J.","contributorId":201839,"corporation":false,"usgs":false,"family":"Baxter","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":727073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kueppers, Ulrich","contributorId":178534,"corporation":false,"usgs":false,"family":"Kueppers","given":"Ulrich","affiliations":[],"preferred":false,"id":727074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schnurr, Max","contributorId":201840,"corporation":false,"usgs":false,"family":"Schnurr","given":"Max","email":"","affiliations":[{"id":36272,"text":"Klinikum der Universität München","active":true,"usgs":false}],"preferred":false,"id":727075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dingwell, Donald B.","contributorId":201841,"corporation":false,"usgs":false,"family":"Dingwell","given":"Donald","email":"","middleInitial":"B.","affiliations":[{"id":36273,"text":"Ludwig-Maximilians-Universität (LMU) München","active":true,"usgs":false}],"preferred":false,"id":727076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duewell, Peter","contributorId":201842,"corporation":false,"usgs":false,"family":"Duewell","given":"Peter","email":"","affiliations":[{"id":36272,"text":"Klinikum der Universität München","active":true,"usgs":false}],"preferred":false,"id":727077,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70195173,"text":"70195173 - 2018 - Uptake and distribution of organo-iodine in deep-sea corals","interactions":[],"lastModifiedDate":"2018-03-13T10:11:30","indexId":"70195173","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Uptake and distribution of organo-iodine in deep-sea corals","docAbstract":"Understanding iodine concentration, transport, and bioavailability is essential in evaluating iodine's impact to the environment and its effectiveness as an environmental biogeotracer. While iodine and its radionuclides have proven to be important tracers in geologic and biologic studies, little is known about transport of this element to the deep sea and subsequent uptake in deep-sea coral habitats. Results presented here on deep-sea black coral iodine speciation and iodine isotope variability provides key information on iodine behavior in natural and anthropogenic environments, and its geochemical pathway in the Gulf of Mexico. Organo-iodine is the dominant iodine species in the black corals, demonstrating that binding of iodine to organic matter plays an important role in the transport and transfer of iodine to the deep-sea corals. The identification of growth bands captured in high-resolution scanning electron images (SEM) with synchronous peaks in iodine variability suggest that riverine delivery of terrestrial-derived organo-iodine is the most plausible explanation to account for annual periodicity in the deep-sea coral geochemistry. Whereas previous studies have suggested the presence of annual growth rings in deep-sea corals, this present study provides a mechanism to explain the formation of annual growth bands. Furthermore, deep-sea coral ages based on iodine peak counts agree well with those ages derived from radiocarbon (14C) measurements. These results hold promise for developing chronologies independent of 14C dating, which is an essential component in constraining reservoir ages and using radiocarbon as a tracer of ocean circulation. Furthermore, the presence of enriched 129I/127I ratios during the most recent period of skeleton growth is linked to nuclear weapons testing during the 1960s. The sensitivity of the coral skeleton to record changes in surface water 129I composition provides further evidence that iodine composition and isotope variability captured in proteinaceous deep-sea corals is a promising geochronometer as well as an emerging tracer for continental material flux.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2018.01.003","usgsCitation":"Prouty, N.G., Roark, E.B., Mohon, L.M., and Chang, C., 2018, Uptake and distribution of organo-iodine in deep-sea corals: Journal of Environmental Radioactivity, v. 187, p. 122-132, https://doi.org/10.1016/j.jenvrad.2018.01.003.","productDescription":"11 p.","startPage":"122","endPage":"132","ipdsId":"IP-090588","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469021,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvrad.2018.01.003","text":"Publisher Index Page"},{"id":351529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.5,\n 28.5\n ],\n [\n -86,\n 28.5\n ],\n [\n -86,\n 29.75\n ],\n [\n -88.5,\n 29.75\n ],\n [\n -88.5,\n 28.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"187","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee731e4b0da30c1bfc1ae","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roark, E. Brendan","contributorId":195726,"corporation":false,"usgs":false,"family":"Roark","given":"E.","email":"","middleInitial":"Brendan","affiliations":[],"preferred":false,"id":727298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mohon, Leslye M.","contributorId":201970,"corporation":false,"usgs":false,"family":"Mohon","given":"Leslye","email":"","middleInitial":"M.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":728382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Ching-Chih","contributorId":178566,"corporation":false,"usgs":false,"family":"Chang","given":"Ching-Chih","email":"","affiliations":[],"preferred":false,"id":728383,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195186,"text":"70195186 - 2018 - Wild-harvested venison yields and sharing by Michigan deer hunters","interactions":[],"lastModifiedDate":"2018-05-04T15:18:56","indexId":"70195186","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Wild-harvested venison yields and sharing by Michigan deer hunters","docAbstract":"An increased societal focus on wildlife as food and recent policy deliberations regarding legal markets for wild-harvested meat are encouraging wildlife managers and researchers to examine the amount, use, and distribution of meat yielded through recreational hunting. We used responses to questions on the Michigan Deer Harvest Study to estimate the maximum yield of edible venison and assess hunters’ sharing behaviors. We estimated 11,402–14,473 metric tons of edible venison were procured during the 2013 hunting season. Of hunters who harvested a deer, 85% shared their venison. Hunters who shared did so with an average of 5.6 people (SD = 4.5). Sharing occurred most frequently within tight social networks: members of hunters’ households (69%), relatives (52%), and friends, neighbors, or coworkers (50%). In the absence of legal markets, venison is distributed widely by hunters and greatly amplifies the number of people benefiting from hunting. Nonetheless, we also identified the potential breadth of exposure to disease or contaminants from wild-harvested meat.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2017.1409372","usgsCitation":"Goguen, A.D., Riley, S.J., Organ, J.F., and Rudolph, B.A., 2018, Wild-harvested venison yields and sharing by Michigan deer hunters: Human Dimensions of Wildlife, v. 23, no. 3, p. 197-212, https://doi.org/10.1080/10871209.2017.1409372.","productDescription":"16 p.","startPage":"197","endPage":"212","ipdsId":"IP-084978","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":351266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-14","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ce4b00f54eb22928e","contributors":{"authors":[{"text":"Goguen, Amber D.","contributorId":202176,"corporation":false,"usgs":false,"family":"Goguen","given":"Amber","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":727750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riley, Shawn J.","contributorId":202177,"corporation":false,"usgs":false,"family":"Riley","given":"Shawn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":727751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":727338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rudolph, Brent A.","contributorId":202178,"corporation":false,"usgs":false,"family":"Rudolph","given":"Brent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":727752,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195206,"text":"70195206 - 2018 - Population genomic analysis suggests strong influence of river network on spatial distribution of genetic variation in invasive saltcedar across the southwestern United States","interactions":[],"lastModifiedDate":"2018-03-26T14:22:52","indexId":"70195206","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Population genomic analysis suggests strong influence of river network on spatial distribution of genetic variation in invasive saltcedar across the southwestern United States","docAbstract":"Understanding the complex influences of landscape and anthropogenic elements that shape the population genetic structure of invasive species provides insight into patterns of colonization and spread. The application of landscape genomics techniques to these questions may offer detailed, previously undocumented insights into factors influencing species invasions. We investigated the spatial pattern of genetic variation and the influences of landscape factors on population similarity in an invasive riparian shrub, saltcedar (Tamarix L.) by analysing 1,997 genomewide SNP markers for 259 individuals from 25 populations collected throughout the southwestern United States. Our results revealed a broad-scale spatial genetic differentiation of saltcedar populations between the Colorado and Rio Grande river basins and identified potential barriers to population similarity along both river systems. River pathways most strongly contributed to population similarity. In contrast, low temperature and dams likely served as barriers to population similarity. We hypothesize that large-scale geographic patterns in genetic diversity resulted from a combination of early introductions from distinct populations, the subsequent influence of natural selection, dispersal barriers and founder effects during range expansion.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.14468","usgsCitation":"Lee, S., Jo, Y., Park, C., Friedman, J.M., and Olson, M.S., 2018, Population genomic analysis suggests strong influence of river network on spatial distribution of genetic variation in invasive saltcedar across the southwestern United States: Molecular Ecology, v. 27, no. 3, p. 636-646, https://doi.org/10.1111/mec.14468.","productDescription":"11 p.","startPage":"636","endPage":"646","ipdsId":"IP-084153","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"27","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-22","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ae4b00f54eb22927a","contributors":{"authors":[{"text":"Lee, Soo-Rang","contributorId":202036,"corporation":false,"usgs":false,"family":"Lee","given":"Soo-Rang","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":727439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jo, Yeong-Seok","contributorId":202039,"corporation":false,"usgs":false,"family":"Jo","given":"Yeong-Seok","email":"","affiliations":[{"id":36332,"text":"National Institute of Biological Resources, South Korea","active":true,"usgs":false}],"preferred":false,"id":727442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Park, Chan-Ho","contributorId":202038,"corporation":false,"usgs":false,"family":"Park","given":"Chan-Ho","email":"","affiliations":[{"id":36332,"text":"National Institute of Biological Resources, South Korea","active":true,"usgs":false}],"preferred":false,"id":727441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":727438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olson, Matthew S.","contributorId":202037,"corporation":false,"usgs":false,"family":"Olson","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":727440,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195199,"text":"70195199 - 2018 - Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA","interactions":[],"lastModifiedDate":"2018-02-28T10:01:32","indexId":"70195199","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA","docAbstract":"To better characterize the transport of neonicotinoid insecticides to the world's largest freshwater ecosystem, monthly samples (October 2015–September 2016) were collected from 10 major tributaries to the Great Lakes, USA. For the monthly tributary samples, neonicotinoids were detected in every month sampled and five of the six target neonicotinoids were detected. At least one neonicotinoid was detected in 74% of the monthly samples with up to three neonicotinoids detected in an individual sample (10% of all samples). The most frequently detected neonicotinoid was imidacloprid (53%), followed by clothianidin (44%), thiamethoxam (22%), acetamiprid (2%), and dinotefuran (1%). Thiacloprid was not detected in any samples. The maximum concentration for an individual neonicotinoid was 230 ng L−1 and the maximum total neonicotinoids in an individual sample was 400 ng L−1. The median detected individual neonicotinoid concentrations ranged from non-detect to 10 ng L−1. The detections of clothianidin and thiamethoxam significantly increased as the percent of cultivated crops in the basins increased (ρ = 0.73, P = .01; ρ = 0.66, P = .04, respectively). In contrast, imidacloprid detections significantly increased as the percent of the urbanization in the basins increased (ρ = 0.66, P = .03). Neonicotinoid concentrations generally increased in spring through summer coinciding with the planting of neonicotinoid-treated seeds and broadcast applications of neonicotinoids. More spatially intensive samples were collected in an agriculturally dominated basin (8 sites along the Maumee River, Ohio) twice during the spring, 2016 planting season to provide further information on neonicotinoid inputs to the Great Lakes. Three neonicotinoids were ubiquitously detected (clothianidin, imidacloprid, thiamethoxam) in all water samples collected within this basin. Maximum individual neonicotinoid concentrations was 330 ng L−1 and maximum total neonicotinoid concentration was 670 ng L−1; median detected individual neonicotinoid concentrations were 7.0 to 39 ng L−1.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.01.013","usgsCitation":"Hladik, M., Corsi, S., Kolpin, D.W., Baldwin, A.K., Blackwell, B., and Cavallin, J.E., 2018, Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA: Environmental Pollution, v. 235, p. 1022-1029, https://doi.org/10.1016/j.envpol.2018.01.013.","productDescription":"8 p.","startPage":"1022","endPage":"1029","ipdsId":"IP-091249","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":469022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6022824","text":"Publisher Index Page"},{"id":351242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.0986328125,\n 39.9434364619742\n ],\n [\n -77.14599609375,\n 39.9434364619742\n ],\n [\n -77.14599609375,\n 46.70973594407157\n ],\n [\n -91.0986328125,\n 46.70973594407157\n ],\n [\n -91.0986328125,\n 39.9434364619742\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"235","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e6be4b00f54eb229286","contributors":{"authors":[{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":727403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavallin, Jenna E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":727404,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196342,"text":"70196342 - 2018 - Snow sublimation in mountain environments and its sensitivity to forest disturbance and climate warming","interactions":[],"lastModifiedDate":"2018-04-03T11:07:44","indexId":"70196342","displayToPublicDate":"2018-02-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Snow sublimation in mountain environments and its sensitivity to forest disturbance and climate warming","docAbstract":"Snow sublimation is an important component of the snow mass balance, but the spatial and temporal variability of this process is not well understood in mountain environments. This study combines a process‐based snow model (SnowModel) with eddy covariance (EC) measurements to investigate (1) the spatio‐temporal variability of simulated snow sublimation with respect to station observations, (2) the contribution of snow sublimation to the ablation of the snowpack, and (3) the sensitivity and response of snow sublimation to bark beetle‐induced forest mortality and climate warming across the north‐central Colorado Rocky Mountains. EC‐based observations of snow sublimation compared well with simulated snow sublimation at stations dominated by surface and canopy sublimation, but blowing snow sublimation in alpine areas was not well captured by the EC instrumentation. Water balance calculations provided an important validation of simulated sublimation at the watershed scale. Simulated snow sublimation across the study area was equivalent to 28% of winter precipitation on average, and the highest relative snow sublimation fluxes occurred during the lowest snow years. Snow sublimation from forested areas accounted for the majority of sublimation fluxes, highlighting the importance of canopy and sub‐canopy surface sublimation in this region. Simulations incorporating the effects of tree mortality due to bark‐beetle disturbance resulted in a 4% reduction in snow sublimation from forested areas. Snow sublimation rates corresponding to climate warming simulations remained unchanged or slightly increased, but total sublimation losses decreased by up to 6% because of a reduction in snow covered area and duration.
","language":"English","publisher":"AGU","doi":"10.1002/2017WR021172","usgsCitation":"Sexstone, G., Clow, D.W., Fassnacht, S.R., Liston, G.E., Hiemstra, C.A., Knowles, J.F., and Penn, C.A., 2018, Snow sublimation in mountain environments and its sensitivity to forest disturbance and climate warming: Water Resources Research, v. 54, no. 2, p. 1191-1211, https://doi.org/10.1002/2017WR021172.","productDescription":"21 p.","startPage":"1191","endPage":"1211","ipdsId":"IP-087155","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":469034,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr021172","text":"Publisher Index Page"},{"id":438026,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75M64QQ","text":"USGS data release","linkHelpText":"SnowModel simulations and supporting observations for the north-central Colorado Rocky Mountains during water years 2011 through 2015"},{"id":353081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-23","publicationStatus":"PW","scienceBaseUri":"5afee73fe4b0da30c1bfc1bf","contributors":{"authors":[{"text":"Sexstone, Graham A. 0000-0001-8913-0546","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":203850,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fassnacht, Steven R.","contributorId":177135,"corporation":false,"usgs":false,"family":"Fassnacht","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":732485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liston, Glen E.","contributorId":203852,"corporation":false,"usgs":false,"family":"Liston","given":"Glen","email":"","middleInitial":"E.","affiliations":[{"id":36729,"text":"Cooperative Institute for Research in the Atmosphere","active":true,"usgs":false}],"preferred":false,"id":732486,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hiemstra, Christopher A.","contributorId":147379,"corporation":false,"usgs":false,"family":"Hiemstra","given":"Christopher","email":"","middleInitial":"A.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":732487,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knowles, John F.","contributorId":203853,"corporation":false,"usgs":false,"family":"Knowles","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":732488,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Penn, Colin A. 0000-0002-5195-2744","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":203851,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","email":"","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732489,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194995,"text":"ofr20181014 - 2018 - Relations between total phosphorus and orthophosphorus concentrations and rainfall, surface-water discharge, and groundwater levels in Big Cypress Seminole Indian Reservation, Florida, 2014–16","interactions":[],"lastModifiedDate":"2018-02-07T10:51:43","indexId":"ofr20181014","displayToPublicDate":"2018-02-06T00:00:00","publicationYear":"2018","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":"2018-1014","title":"Relations between total phosphorus and orthophosphorus concentrations and rainfall, surface-water discharge, and groundwater levels in Big Cypress Seminole Indian Reservation, Florida, 2014–16","docAbstract":"The Seminole Tribe of Florida (the Tribe) is partnering with the U.S. Environmental Protection Agency to develop a numeric phosphorus criterion for the 52,000-acre Big Cypress Seminole Indian Reservation (BCSIR), which is located downgradient of the Everglades Agricultural Area, and of other public and private lands, in southeastern Hendry County and northwestern Broward County in southern Florida. The U.S. Geological Survey (USGS), in cooperation with the Tribe, used water-quality data collected between October 2014 and September 2016 by the Tribe and the South Florida Water Management District (SFWMD), along with data from rainfall gages, surface-water stage and discharge gages, and groundwater monitoring wells, to (1) examine the relations between local hydrology and measured total phosphorus (TP) and orthophosphorus (OP) concentrations and (2) identify explanatory variables for TP concentrations. Of particular concern were conditions when TP exceeded 10 parts per billion (ppb) (0.01 milligram per liter [mg/L]) given that the State of Florida and the Miccosukee Tribe of Indians Alligator Alley Reservation (located downstream of the BCSIR) have adopted a 10-ppb maximum TP criterion for surface waters.
From October 2014 to September 2016, the Tribe collected 47–52 samples at each of nine water-quality sites for analysis of TP and OP, except at one site where 28 samples were collected. For all sites sampled, concentrations of TP (as phosphorus [P]) ranged from less than 0.002 mg/L (2 ppb) to a maximum of nearly 0.50 mg/L (500 ppb), whereas concentrations of OP (as P), the reactive form of inorganic phosphorus readily absorbed by plants and (or) abiotically absorbed, ranged from less than 0.003 mg/L (3 ppb) to a maximum of 0.24 mg/L (240 ppb). The median and interquartile ranges of concentrations of TP and OP in the samples collected in 2014–16 by the Tribe were similar to the median and interquartile ranges of concentrations in samples collected by the SFWMD at nearby sites during the same period. Differences in concentrations can likely be explained by differences in sample collection methods, sampling locations, sample collection time, and the hydrology during sampling or by the number of samples collected. A major limitation of this study was the short duration of sample collection, which covers a limited range of hydrologic conditions within the BCSIR.
The effect of surface-water and groundwater hydrologic conditions on TP and OP concentrations was assessed by using rainfall data and surface-water stage and discharge records. The highest TP and OP concentrations occurred during peak surface-water flows in the canals following long dry periods. Concentrations of TP and OP increased internal to the BCSIR in the western half of the BCSIR during wet periods, but increased concentrations tended to lag behind rainfall events, likely because control structures upstream of sampling sites do not release flows until the water levels in the canals reach predetermined levels. This pattern may indicate that bed sediments in the canals contain high concentrations of phosphorus that becomes resuspended during high flows or that phosphorus salts that had accumulated on dry land during dry periods are carried into the canals by runoff. The largest TP spikes usually occurred at the beginning of high-flow events, but then quickly tapered off even when flows remained high.
Groundwater flows were assessed in the BCSIR by using groundwater level observations from two preexisting USGS monitoring well clusters, each characterized by a shallow well installed in the surficial aquifer system and a deeper well installed in the intermediate aquifer system. Groundwater levels were evaluated with respect to surface-water levels and discharge in the BCSIR during the period of surface-water sampling. During dry conditions water levels in canals were often higher than groundwater levels in the surficial aquifer, indicating the potential for surface water to recharge the surficial aquifer. During wetter conditions, this trend reversed, and there was potential for shallow groundwater discharge into the canals.
From October 2014 to September 2016, concentrations of TP tended to decrease as surface-water inflows moved across the BCSIR from north to south. In both the western and eastern halves of the reservation, the mean concentration of TP was lower in the surface-water outflows from the BCSIR than in the inflows. The mean concentration of TP in the inflows to the western reservation was 0.04 mg/L (40 ppb), whereas the mean concentration of TP in the outflows was 0.03 mg/L (30 ppb). In the eastern reservation, the mean concentration of TP in the inflows was 0.07 mg/L (70 ppb), whereas the mean concentration of TP in the outflows was 0.04 mg/L (40 ppb).
TP and OP concentrations were evaluated relative to other water-quality parameters, including turbidity, suspended solids, nitrate plus nitrite, dissolved oxygen, pH, and specific conductance, to determine if any relations existed between TP and other variables. Weak relations were indicated for turbidity and suspended solids at two sites, which indicates that there may be a relation of increased TP to mobilization of sediment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181014","collaboration":"Prepared in cooperation with the Seminole Tribe of Florida","usgsCitation":"McBride, W.S., and Sifuentes, D.F., 2018, Relations between total phosphorus and orthophosphorus concentrations and rainfall, surface-water discharge, and groundwater levels in Big Cypress Seminole Indian Reservation, Florida, 2014–16: U.S. Geological Survey Open File Report 2018–1014, 63 p., https://doi.org/10.3133/ofr20181014.","productDescription":"xi, 63 p.","numberOfPages":"79","onlineOnly":"Y","ipdsId":"IP-086087","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":351046,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1014/ofr20181014.pdf","text":"Report","size":"6.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1014"},{"id":351045,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1014/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress Seminole Indian Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.8333,\n 26.1667\n ],\n [\n -81.0833,\n 26.1667\n ],\n [\n -81.0833,\n 26.4167\n ],\n [\n -80.8333,\n 26.4167\n ],\n [\n -80.8333,\n 26.1667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane
Lutz, FL 33559
We describe swarming behavior in the invasive cladoceran Daphnia lumholtzi Sars, 1885 in a Kentucky, USA, reservoir during winter 2017. The taxon is a highly successful tropical invader and has spread throughout the lower latitude systems in the USA since its discovery in 1991. Other than a few isolated reports, the abundance of D. lumholtzi is often <1 organism L-1. Previous studies indicate that D. lumholtzi is a largely thermophilic species often peaking in abundance in late summer after native daphnids are gone from the water column of lakes and reservoirs. Prior to our study, there have been no published reports of swarming behavior by this species. We document the occurrence of massive swarms (>10,000 organisms L-1) of sexually reproducing females of this exotic cladoceran at water column temperatures <10°C.
","language":"English","publisher":"REABIC","doi":"10.3391/bir.2018.7.1.06","usgsCitation":"Beaver, J.R., Renicker, T.R., Tausz, C.E., Young, J.L., Thomason, J.C., Wolf, Z.L., Russell, A.L., Cherry, M.A., Scotese, K.C., and Koenig, D.T., 2018, Winter swarming behavior by the exotic cladoceran Daphnia lumholtzi Sars, 1885 in a Kentucky (USA) reservoir : BioInvasions Records, v. 7, no. 1, p. 43-50, https://doi.org/10.3391/bir.2018.7.1.06.","productDescription":"8 p.","startPage":"43","endPage":"50","ipdsId":"IP-088884","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":469031,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/bir.2018.7.1.06","text":"Publisher Index Page"},{"id":438025,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BZ657V","text":"USGS data release","linkHelpText":"Zooplankton, phytoplankton, and water-quality data for Nolin Lake near Finney, Kentucky during a midwinter swarm by the exotic cladoceran Daphnia lumholtzi, 2016-2017"},{"id":351217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","otherGeospatial":"Nolin Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.25984191894531,\n 37.27036454209622\n ],\n [\n -86.21366500854492,\n 37.27036454209622\n ],\n [\n -86.21366500854492,\n 37.29904630714422\n ],\n [\n -86.25984191894531,\n 37.29904630714422\n ],\n [\n -86.25984191894531,\n 37.27036454209622\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7acd17e4b00f54eb20c579","contributors":{"authors":[{"text":"Beaver, John R. 0000-0003-0091-2387","orcid":"https://orcid.org/0000-0003-0091-2387","contributorId":202089,"corporation":false,"usgs":false,"family":"Beaver","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":36339,"text":"BSA Environmental Services, Inc.","active":true,"usgs":false}],"preferred":false,"id":727607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renicker, Thomas R.","contributorId":202090,"corporation":false,"usgs":false,"family":"Renicker","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":36339,"text":"BSA Environmental Services, Inc.","active":true,"usgs":false}],"preferred":false,"id":727608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tausz, Claudia E.","contributorId":202091,"corporation":false,"usgs":false,"family":"Tausz","given":"Claudia","email":"","middleInitial":"E.","affiliations":[{"id":36339,"text":"BSA Environmental Services, Inc.","active":true,"usgs":false}],"preferred":false,"id":727609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Jade L.","contributorId":202092,"corporation":false,"usgs":false,"family":"Young","given":"Jade","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":727610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomason, Jennifer C.","contributorId":202093,"corporation":false,"usgs":false,"family":"Thomason","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":727611,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolf, Zachary L.","contributorId":202094,"corporation":false,"usgs":false,"family":"Wolf","given":"Zachary","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":727612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Russell, Amber L.","contributorId":202095,"corporation":false,"usgs":false,"family":"Russell","given":"Amber","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":727613,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cherry, Mac A. 0000-0001-6153-7010 macherry@usgs.gov","orcid":"https://orcid.org/0000-0001-6153-7010","contributorId":191313,"corporation":false,"usgs":true,"family":"Cherry","given":"Mac","email":"macherry@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":727606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scotese, Kyle C.","contributorId":201592,"corporation":false,"usgs":false,"family":"Scotese","given":"Kyle","email":"","middleInitial":"C.","affiliations":[{"id":36339,"text":"BSA Environmental Services, Inc.","active":true,"usgs":false}],"preferred":true,"id":727720,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koenig, Dawn T.","contributorId":90688,"corporation":false,"usgs":false,"family":"Koenig","given":"Dawn","email":"","middleInitial":"T.","affiliations":[{"id":36339,"text":"BSA Environmental Services, Inc.","active":true,"usgs":false}],"preferred":false,"id":727721,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}