{"pageNumber":"884","pageRowStart":"22075","pageSize":"25","recordCount":184553,"records":[{"id":70195534,"text":"70195534 - 2018 - Interregional flows of ecosystem services: Concepts, typology and four cases","interactions":[],"lastModifiedDate":"2018-06-19T10:17:02","indexId":"70195534","displayToPublicDate":"2018-02-21T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Interregional flows of ecosystem services: Concepts, typology and four cases","docAbstract":"

Conserving and managing global natural capital requires an understanding of the complexity of flows of ecosystem services across geographic boundaries. Failing to understand and to incorporate these flows into national and international ecosystem assessments leads to incomplete and potentially skewed conclusions, impairing society’s ability to identify sustainable management and policy choices. In this paper, we synthesise existing knowledge and develop a conceptual framework for analysing interregional ecosystem service flows. We synthesise the types of such flows, the characteristics of sending and receiving socio-ecological systems, and the impacts of ecosystem service flows on interregional sustainability. Using four cases (trade of certified coffee, migration of northern pintails, flood protection in the Danube watershed, and information on giant pandas), we test the conceptual framework and show how an enhanced understanding of interregional telecouplings in socio-ecological systems can inform ecosystem service-based decision making and governance with respect to sustainability goals.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2018.02.003","usgsCitation":"Schroter, M., Koellner, T., Alkemade, R., Arnhold, S., Bagstad, K.J., Frank, K., Erb, K., Kastner, T., Kissinger, M., Liu, J., Lopez-Hoffman, L., Maes, J., Marques, A., Martín-López, B., Meyer, C., Schulp, C.J., Thober, J., Wolff, S., and Bonn, A., 2018, Interregional flows of ecosystem services: Concepts, typology and four cases: Ecosystem Services, v. 31, no. B, p. 231-241, https://doi.org/10.1016/j.ecoser.2018.02.003.","productDescription":"11 p.","startPage":"231","endPage":"241","ipdsId":"IP-088768","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoser.2018.02.003","text":"Publisher Index Page"},{"id":351848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"B","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee727e4b0da30c1bfc144","contributors":{"authors":[{"text":"Schroter, Matthias 0000-0003-0207-7311","orcid":"https://orcid.org/0000-0003-0207-7311","contributorId":202612,"corporation":false,"usgs":false,"family":"Schroter","given":"Matthias","email":"","affiliations":[{"id":36494,"text":"UFZ – Helmholtz 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Arizona","active":true,"usgs":false}],"preferred":false,"id":729159,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Maes, Joachim","contributorId":190801,"corporation":false,"usgs":false,"family":"Maes","given":"Joachim","email":"","affiliations":[],"preferred":false,"id":729160,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Marques, Alexandra","contributorId":202622,"corporation":false,"usgs":false,"family":"Marques","given":"Alexandra","email":"","affiliations":[{"id":36499,"text":"Leiden University","active":true,"usgs":false}],"preferred":false,"id":729161,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Martín-López, Berta","contributorId":202623,"corporation":false,"usgs":false,"family":"Martín-López","given":"Berta","affiliations":[{"id":36500,"text":"Leuphana University","active":true,"usgs":false}],"preferred":false,"id":729162,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Meyer, Carsten","contributorId":193124,"corporation":false,"usgs":false,"family":"Meyer","given":"Carsten","email":"","affiliations":[],"preferred":false,"id":729163,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schulp, Catharina J. E.","contributorId":202624,"corporation":false,"usgs":false,"family":"Schulp","given":"Catharina","email":"","middleInitial":"J. E.","affiliations":[{"id":28162,"text":"Vrije University Amsterdam","active":true,"usgs":false}],"preferred":false,"id":729164,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Thober, Jule","contributorId":202628,"corporation":false,"usgs":false,"family":"Thober","given":"Jule","email":"","affiliations":[{"id":36501,"text":"UFZ-Helmholtz Centre for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":729168,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wolff, Sarah","contributorId":202626,"corporation":false,"usgs":false,"family":"Wolff","given":"Sarah","email":"","affiliations":[{"id":28162,"text":"Vrije University Amsterdam","active":true,"usgs":false}],"preferred":false,"id":729166,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Bonn, Aletta 0000-0002-8345-4600","orcid":"https://orcid.org/0000-0002-8345-4600","contributorId":202627,"corporation":false,"usgs":false,"family":"Bonn","given":"Aletta","email":"","affiliations":[{"id":36494,"text":"UFZ – Helmholtz Centre for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":729167,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70195536,"text":"70195536 - 2018 - Prospects for reconstructing paleoenvironmental conditions from organic compounds in polar snow and ice","interactions":[],"lastModifiedDate":"2018-02-21T11:02:35","indexId":"70195536","displayToPublicDate":"2018-02-21T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Prospects for reconstructing paleoenvironmental conditions from organic compounds in polar snow and ice","docAbstract":"

Polar ice cores provide information about past climate and environmental changes over periods ranging from a few years up to 800,000 years. The majority of chemical studies have focused on determining inorganic components, such as major ions and trace elements as well as on their isotopic fingerprint. In this paper, we review the different classes of organic compounds that might yield environmental information, discussing existing research and what is needed to improve knowledge. We also discuss the problems of sampling, analysis and interpretation of organic molecules in ice. This review highlights the great potential for organic compounds to be used as proxies for anthropogenic activities, past fire events from different types of biomass, terrestrial biogenic emissions and marine biological activity, along with the possibility of inferring past temperature fluctuations and even large-scale climate variability. In parallel, comprehensive research needs to be done to assess the atmospheric stability of these compounds, their ability to be transported long distances in the atmosphere, and their stability in the archive in order to better interpret their fluxes in ice cores. In addition, specific decontamination procedures, analytical methods with low detection limits (ng/L or lower), fast analysis time and low sample requests need to be developed in order to ensure a good time resolution in the archive.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2018.01.007","usgsCitation":"Giorio, C., Kehrwald, N.M., Barbante, C., Kalberer, M., King, A.C., Thomas, E.R., Wolff, E.W., and Zennaro, P., 2018, Prospects for reconstructing paleoenvironmental conditions from organic compounds in polar snow and ice: Quaternary Science Reviews, v. 183, p. 1-22, https://doi.org/10.1016/j.quascirev.2018.01.007.","productDescription":"22 p.","startPage":"1","endPage":"22","ipdsId":"IP-087010","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468981,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.repository.cam.ac.uk/handle/1810/274040","text":"External Repository"},{"id":351851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee727e4b0da30c1bfc142","contributors":{"authors":[{"text":"Giorio, Chiara","contributorId":202631,"corporation":false,"usgs":false,"family":"Giorio","given":"Chiara","email":"","affiliations":[{"id":36502,"text":"Department of Chemistry, University of Cambrige, Lensfield Road, Cambridge CB2 1 EW, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":729173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kehrwald, Natalie M. 0000-0002-9160-2239 nkehrwald@usgs.gov","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":168918,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","email":"nkehrwald@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":729172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbante, Carlo","contributorId":202632,"corporation":false,"usgs":false,"family":"Barbante","given":"Carlo","email":"","affiliations":[{"id":36503,"text":"Department of Environmental Sciences, Infomatics, and Statistics, Ca'Foscari University of Venice, Via Torino 155, 30172 Mestre (VE), Italy","active":true,"usgs":false}],"preferred":false,"id":729174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kalberer, Markus","contributorId":202633,"corporation":false,"usgs":false,"family":"Kalberer","given":"Markus","email":"","affiliations":[{"id":36504,"text":"Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":729175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Amy C.F.","contributorId":202634,"corporation":false,"usgs":false,"family":"King","given":"Amy","email":"","middleInitial":"C.F.","affiliations":[{"id":36505,"text":"British Antarctic Survey, High Cross, Madingley Road, Cambridge, CB3 0ET, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":729176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Elizabeth R.","contributorId":202635,"corporation":false,"usgs":false,"family":"Thomas","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[{"id":36505,"text":"British Antarctic Survey, High Cross, Madingley Road, Cambridge, CB3 0ET, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":729178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wolff, Eric W.","contributorId":202636,"corporation":false,"usgs":false,"family":"Wolff","given":"Eric","email":"","middleInitial":"W.","affiliations":[{"id":36506,"text":"Department of Earth Science, University of Cambridge, Downing Street, Cambridge CB2 3EQ, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":729179,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zennaro, Piero","contributorId":202637,"corporation":false,"usgs":false,"family":"Zennaro","given":"Piero","email":"","affiliations":[{"id":36507,"text":"Department of Environmental Sciences, Informatics, and Statistics, Ca' Foscari University of Venice, Via Torino 155, 30172 Mestre (VE), Italy","active":true,"usgs":false}],"preferred":false,"id":729180,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70195037,"text":"sir20175147 - 2018 - Temporal trends in water-quality constituent concentrations and annual loads of chemical constituents in Michigan watersheds, 1998–2013","interactions":[],"lastModifiedDate":"2018-02-22T14:33:12","indexId":"sir20175147","displayToPublicDate":"2018-02-21T00:00:00","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":"2017-5147","title":"Temporal trends in water-quality constituent concentrations and annual loads of chemical constituents in Michigan watersheds, 1998–2013","docAbstract":"

In 1998, the Michigan Department of Environmental Quality and the U.S. Geological Survey began the Water Chemistry Monitoring Program for select streams in the State of Michigan. Objectives of this program were to provide assistance with (1) statewide water-quality assessments, (2) the National Pollutant Discharge Elimination System permitting process, and (3) water-resource management decisions. As part of this program, water-quality data collected from 1998 to 2013 were analyzed to identify potential trends for select constituents that were sampled. Sixteen water-quality constituents were analyzed at 32 stations throughout Michigan. Trend analysis on the various water-quality data was done using either the uncensored Seasonal Kendall test or through Tobit regression. In total, 79 trends were detected in the constituents analyzed for 32 river stations sampled for the study period—53 downward trends and 26 upward trends were detected. The most prevalent trend detected throughout the State was for ammonia, with 11 downward trends and 1 upward trend estimated.

In addition to trends, constituent loads were estimated for 31 stations from 2002 to 2013 for stations that were sampled 12 times per year. Loads were computed using the Autobeale load computation program, which used the Beale ratio estimator approach to estimate an annual load. Constituent loads were the largest in large watershed streams with the highest annual flows such as the Saginaw and Grand Rivers. Likewise, constituent loads were the smallest in smaller tributaries that were sampled as part of this program such as the Boardman and Thunder Bay Rivers.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175147","collaboration":"Prepared in cooperation with the Michigan Department of Environmental Quality","usgsCitation":"Hoard, C.J., Fogarty, L.R., and Duris, J.W., 2018, Temporal trends in water-quality constituent concentrations and annual loads of chemical constituents in Michigan watersheds, 1998–2013: U.S. Geological Survey Scientific Investigations Report 2017–5147, 79 p., https://doi.org/10.3133/sir20175147.","productDescription":"vi, 79 p.","numberOfPages":"90","onlineOnly":"N","ipdsId":"IP-077501","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":351840,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5147/coverthb.jpg"},{"id":351841,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5147/sir20175147.pdf","text":"Report","size":"4.32 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\"}}]}","contact":"

Director, Upper Midwest Water Science Center
U.S. Geological Survey
6520 Mercantile Way
Suite 5
Lansing, MI 48911

","tableOfContents":"","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-02-21","noUsgsAuthors":false,"publicationDate":"2018-02-21","publicationStatus":"PW","scienceBaseUri":"5afee728e4b0da30c1bfc148","contributors":{"authors":[{"text":"Hoard, Christopher J. 0000-0003-2337-506X cjhoard@usgs.gov","orcid":"https://orcid.org/0000-0003-2337-506X","contributorId":191767,"corporation":false,"usgs":true,"family":"Hoard","given":"Christopher","email":"cjhoard@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":726685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fogarty, Lisa R. 0000-0003-0329-3251","orcid":"https://orcid.org/0000-0003-0329-3251","contributorId":201646,"corporation":false,"usgs":true,"family":"Fogarty","given":"Lisa R.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":172426,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":726686,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195533,"text":"70195533 - 2018 - The sensitivity of ecosystem service models to choices of input data and spatial resolution","interactions":[],"lastModifiedDate":"2018-02-28T10:10:34","indexId":"70195533","displayToPublicDate":"2018-02-21T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"The sensitivity of ecosystem service models to choices of input data and spatial resolution","docAbstract":"

Although ecosystem service (ES) modeling has progressed rapidly in the last 10–15 years, comparative studies on data and model selection effects have become more common only recently. Such studies have drawn mixed conclusions about whether different data and model choices yield divergent results. In this study, we compared the results of different models to address these questions at national, provincial, and subwatershed scales in Rwanda. We compared results for carbon, water, and sediment as modeled using InVEST and WaSSI using (1) land cover data at 30 and 300 m resolution and (2) three different input land cover datasets. WaSSI and simpler InVEST models (carbon storage and annual water yield) were relatively insensitive to the choice of spatial resolution, but more complex InVEST models (seasonal water yield and sediment regulation) produced large differences when applied at differing resolution. Six out of nine ES metrics (InVEST annual and seasonal water yield and WaSSI) gave similar predictions for at least two different input land cover datasets. Despite differences in mean values when using different data sources and resolution, we found significant and highly correlated results when using Spearman's rank correlation, indicating consistent spatial patterns of high and low values. Our results confirm and extend conclusions of past studies, showing that in certain cases (e.g., simpler models and national-scale analyses), results can be robust to data and modeling choices. For more complex models, those with different output metrics, and subnational to site-based analyses in heterogeneous environments, data and model choices may strongly influence study findings.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeog.2018.02.005","usgsCitation":"Bagstad, K.J., Cohen, E., Ancona, Z.H., McNulty, S., and Sun, G., 2018, The sensitivity of ecosystem service models to choices of input data and spatial resolution: Applied Geography, v. 93, p. 25-36, https://doi.org/10.1016/j.apgeog.2018.02.005.","productDescription":"12 p.","startPage":"25","endPage":"36","ipdsId":"IP-089975","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":438005,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CR5S92","text":"USGS data release","linkHelpText":"Data Release for The sensitivity of ecosystem service models to choices of input data and spatial resolution"},{"id":351849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Rwanda","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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]\n ]\n },\n \"properties\": {\n \"name\": \"Rwanda\"\n }\n }\n ]\n}","volume":"93","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee728e4b0da30c1bfc146","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":729144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Erika","contributorId":202610,"corporation":false,"usgs":false,"family":"Cohen","given":"Erika","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":729145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ancona, Zachary H. 0000-0001-5430-0218 zancona@usgs.gov","orcid":"https://orcid.org/0000-0001-5430-0218","contributorId":5578,"corporation":false,"usgs":true,"family":"Ancona","given":"Zachary","email":"zancona@usgs.gov","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":729146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNulty, Steven 0000-0003-4518-5646","orcid":"https://orcid.org/0000-0003-4518-5646","contributorId":202611,"corporation":false,"usgs":false,"family":"McNulty","given":"Steven","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":729147,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sun, Ge","contributorId":145893,"corporation":false,"usgs":false,"family":"Sun","given":"Ge","email":"","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":729148,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195523,"text":"70195523 - 2018 - Variability in soil-water retention properties and implications for physics-based simulation of landslide early warning criteria","interactions":[],"lastModifiedDate":"2018-07-03T11:36:21","indexId":"70195523","displayToPublicDate":"2018-02-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Variability in soil-water retention properties and implications for physics-based simulation of landslide early warning criteria","docAbstract":"

Rainfall-induced shallow landsliding is a persistent hazard to human life and property. Despite the observed connection between infiltration through the unsaturated zone and shallow landslide initiation, there is considerable uncertainty in how estimates of unsaturated soil-water retention properties affect slope stability assessment. This source of uncertainty is critical to evaluating the utility of physics-based hydrologic modeling as a tool for landslide early warning. We employ a numerical model of variably saturated groundwater flow parameterized with an ensemble of texture-, laboratory-, and field-based estimates of soil-water retention properties for an extensively monitored landslide-prone site in the San Francisco Bay Area, CA, USA. Simulations of soil-water content, pore-water pressure, and the resultant factor of safety show considerable variability across and within these different parameter estimation techniques. In particular, we demonstrate that with the same permeability structure imposed across all simulations, the variability in soil-water retention properties strongly influences predictions of positive pore-water pressure coincident with widespread shallow landsliding. We also find that the ensemble of soil-water retention properties imposes an order-of-magnitude and nearly two-fold variability in seasonal and event-scale landslide susceptibility, respectively. Despite the reduced factor of safety uncertainty during wet conditions, parameters that control the dry end of the soil-water retention function markedly impact the ability of a hydrologic model to capture soil-water content dynamics observed in the field. These results suggest that variability in soil-water retention properties should be considered for objective physics-based simulation of landslide early warning criteria.

","language":"English","publisher":"Springer","doi":"10.1007/s10346-018-0950-z","usgsCitation":"Thomas, M.A., Mirus, B.B., Collins, B.D., Lu, N., and Godt, J.W., 2018, Variability in soil-water retention properties and implications for physics-based simulation of landslide early warning criteria: Landslides, v. 15, no. 7, p. 1265-1277, https://doi.org/10.1007/s10346-018-0950-z.","productDescription":"13 p.","startPage":"1265","endPage":"1277","ipdsId":"IP-089282","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":438007,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M0449D","text":"USGS data release","linkHelpText":"Field data used to support hydrologic modeling for the U.S. Geological Survey's San Francisco Bay Area "BALT1" landslide monitoring site"},{"id":351832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-12","publicationStatus":"PW","scienceBaseUri":"5afee728e4b0da30c1bfc14a","contributors":{"authors":[{"text":"Thomas, Matthew A.","contributorId":138657,"corporation":false,"usgs":false,"family":"Thomas","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":12482,"text":"Department of Geological and Environmental Sciences, Stanford University, 450 Serra Mall, Building 320, Stanford, California 94305-2115, USA","active":true,"usgs":false}],"preferred":false,"id":729027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":729028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Brian D. bcollins@usgs.gov","contributorId":2406,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":729029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":729030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":729031,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195477,"text":"70195477 - 2018 - Clayey landslide initiation and acceleration strongly modulated by soil swelling","interactions":[],"lastModifiedDate":"2018-03-19T11:10:31","indexId":"70195477","displayToPublicDate":"2018-02-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Clayey landslide initiation and acceleration strongly modulated by soil swelling","docAbstract":"

Largely unknown mechanisms restrain motion of clay-rich, slow-moving landslides that are widespread worldwide and rarely accelerate catastrophically. We studied a clayey, slow-moving landslide typical of thousands in northern California, USA, to decipher hydrologic-mechanical interactions that modulate landslide dynamics. Similar to some other studies, observed pore-water pressures correlated poorly with landslide reactivation and speed. In situ and laboratory measurements strongly suggested that variable pressure along the landslide's lateral shear boundaries resulting from seasonal soil expansion and contraction modulated its reactivation and speed. Slope-stability modeling suggested that the landslide's observed behavior could be predicted by including transient swell pressure as a resistance term, whereas modeling considering only transient hydrologic conditions predicted movement 5–6 months prior to when it was observed. All clayey soils swell to some degree; hence, our findings suggest that swell pressure likely modulates motion of many landslides and should be considered to improve forecasts of clayey landslide initiation and mobility.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL076807","usgsCitation":"Schulz, W.H., Smith, J.B., Wang, G., Jiang, Y., and Roering, J., 2018, Clayey landslide initiation and acceleration strongly modulated by soil swelling: Geophysical Research Letters, v. 45, no. 4, p. 1888-1896, https://doi.org/10.1002/2017GL076807.","productDescription":"9 p.","startPage":"1888","endPage":"1896","ipdsId":"IP-093100","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468987,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl076807","text":"Publisher Index Page"},{"id":438006,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GF0SFS","text":"USGS data release","linkHelpText":"Data from in-situ landslide monitoring, Trinity County, California"},{"id":351813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"45","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-26","publicationStatus":"PW","scienceBaseUri":"5afee72ae4b0da30c1bfc15c","contributors":{"authors":[{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":728780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":728781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Gonghui","contributorId":202546,"corporation":false,"usgs":false,"family":"Wang","given":"Gonghui","email":"","affiliations":[{"id":36476,"text":"Disaster Prevention Research Institute, Kyoto University","active":true,"usgs":false}],"preferred":false,"id":728782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jiang, Yao","contributorId":202547,"corporation":false,"usgs":false,"family":"Jiang","given":"Yao","email":"","affiliations":[{"id":36476,"text":"Disaster Prevention Research Institute, Kyoto University","active":true,"usgs":false}],"preferred":false,"id":728783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roering, Joshua J.","contributorId":194297,"corporation":false,"usgs":false,"family":"Roering","given":"Joshua J.","affiliations":[],"preferred":false,"id":728784,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195518,"text":"70195518 - 2018 - Delineating and identifying long-term changes in the whooping crane (Grus americana) migration corridor","interactions":[],"lastModifiedDate":"2018-02-20T12:46:47","indexId":"70195518","displayToPublicDate":"2018-02-20T00:00:00","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}},"displayTitle":"Delineating and identifying long-term changes in the whooping crane (Grus americana) migration corridor","title":"Delineating and identifying long-term changes in the whooping crane (Grus americana) migration corridor","docAbstract":"

Defining and identifying changes to seasonal ranges of migratory species is required for effective conservation. Historic sightings of migrating whooping cranes (Grus americana) have served as sole source of information to define a migration corridor in the Great Plains of North America (i.e., Canadian Prairies and United States Great Plains) for this endangered species. We updated this effort using past opportunistic sightings from 1942–2016 (n = 5,055) and more recent (2010–2016) location data from 58 telemetered birds (n = 4,423) to delineate migration corridors that included 50%, 75%, and 95% core areas. All migration corridors were well defined and relatively compact, with the 95% core corridor averaging 294 km wide, although it varied approximately ±40% in width from 170 km in central Texas to 407 km at the international border of the United States and Canada. Based on historic sightings and telemetry locations, we detected easterly movements in locations over time, primarily due to locations west of the median shifting east. This shift occurred from northern Oklahoma to central Saskatchewan at an average rate of 1.2 km/year (0.3–2.8 km/year). Associated with this directional shift was a decrease in distance of locations from the median in the same region averaging -0.7 km/year (-0.3–-1.3 km/year), suggesting a modest narrowing of the migration corridor. Changes in the corridor over the past 8 decades suggest that agencies and organizations interested in recovery of this species may need to modify where conservation and recovery actions occur. Whooping cranes showed apparent plasticity in their migratory behavior, which likely has been necessary for persistence of a wetland-dependent species migrating through the drought-prone Great Plains. Behavioral flexibility will be useful for whooping cranes to continue recovery in a future of uncertain climate and land use changes throughout their annual range.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0192737","usgsCitation":"Pearse, A.T., Rabbe, M., Juliusson, L.M., Bidwell, M.T., Craig-Moore, L., Brandt, D.A., and Harrell, W.C., 2018, Delineating and identifying long-term changes in the whooping crane (Grus americana) migration corridor: PLoS ONE, v. 13, no. 2, p. 1-15, https://doi.org/10.1371/journal.pone.0192737.","productDescription":"e0192737; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-090602","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0192737","text":"Publisher Index Page"},{"id":351820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-15","publicationStatus":"PW","scienceBaseUri":"5afee729e4b0da30c1bfc150","contributors":{"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":728990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rabbe, Matt","contributorId":202597,"corporation":false,"usgs":false,"family":"Rabbe","given":"Matt","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":728991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Juliusson, Lara M.","contributorId":202593,"corporation":false,"usgs":false,"family":"Juliusson","given":"Lara","email":"","middleInitial":"M.","affiliations":[{"id":36490,"text":"USFWS, Lakewood, CO","active":true,"usgs":false}],"preferred":false,"id":728992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bidwell, Mark T.","contributorId":202007,"corporation":false,"usgs":false,"family":"Bidwell","given":"Mark","email":"","middleInitial":"T.","affiliations":[{"id":36318,"text":"CWS","active":true,"usgs":false}],"preferred":false,"id":728993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Craig-Moore, Lea","contributorId":202595,"corporation":false,"usgs":false,"family":"Craig-Moore","given":"Lea","email":"","affiliations":[{"id":36491,"text":"Environment and Climate Change Canada, Saskatoon, SK","active":true,"usgs":false}],"preferred":false,"id":728994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brandt, David A. 0000-0001-9786-307X dbrandt@usgs.gov","orcid":"https://orcid.org/0000-0001-9786-307X","contributorId":149929,"corporation":false,"usgs":true,"family":"Brandt","given":"David","email":"dbrandt@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":728995,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harrell, Wade C.","contributorId":147143,"corporation":false,"usgs":false,"family":"Harrell","given":"Wade","email":"","middleInitial":"C.","affiliations":[{"id":16793,"text":"USFWS, Ecological Services, Austwell, TX","active":true,"usgs":false}],"preferred":false,"id":728996,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70195521,"text":"70195521 - 2018 - Improving estimation of flight altitude in wildlife telemetry studies","interactions":[],"lastModifiedDate":"2018-07-03T11:37:03","indexId":"70195521","displayToPublicDate":"2018-02-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Improving estimation of flight altitude in wildlife telemetry studies","docAbstract":"
  1. Altitude measurements from wildlife tracking devices, combined with elevation data, are commonly used to estimate the flight altitude of volant animals. However, these data often include measurement error. Understanding this error may improve estimation of flight altitude and benefit applied ecology.
  2. There are a number of different approaches that have been used to address this measurement error. These include filtering based on GPS data, filtering based on behaviour of the study species, and use of state-space models to correct measurement error. The effectiveness of these approaches is highly variable.
  3. Recent studies have based inference of flight altitude on misunderstandings about avian natural history and technical or analytical tools. In this Commentary, we discuss these misunderstandings and suggest alternative strategies both to resolve some of these issues and to improve estimation of flight altitude. These strategies also can be applied to other measures derived from telemetry data.
  4. Synthesis and applications. Our Commentary is intended to clarify and improve upon some of the assumptions made when estimating flight altitude and, more broadly, when using GPS telemetry data. We also suggest best practices for identifying flight behaviour, addressing GPS error, and using flight altitudes to estimate collision risk with anthropogenic structures. Addressing the issues we describe would help improve estimates of flight altitude and advance understanding of the treatment of error in wildlife telemetry studies.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13135","usgsCitation":"Poessel, S.A., Duerr, A.E., Hall, J.C., Braham, M.A., and Katzner, T., 2018, Improving estimation of flight altitude in wildlife telemetry studies: Journal of Applied Ecology, v. 55, no. 4, p. 2064-2070, https://doi.org/10.1111/1365-2664.13135.","productDescription":"7 p.","startPage":"2064","endPage":"2070","ipdsId":"IP-088933","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":461027,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13135","text":"Publisher Index Page"},{"id":351818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-08","publicationStatus":"PW","scienceBaseUri":"5afee729e4b0da30c1bfc14c","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":729014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duerr, Adam E.","contributorId":190590,"corporation":false,"usgs":false,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":729015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Jonathan C.","contributorId":202606,"corporation":false,"usgs":false,"family":"Hall","given":"Jonathan","email":"","middleInitial":"C.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":729016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braham, Melissa A.","contributorId":199740,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":34303,"text":"West Virginia University, Department of Geology & Geography","active":true,"usgs":false}],"preferred":false,"id":729017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":729018,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195517,"text":"70195517 - 2018 - Imperfect pathogen detection from non-invasive skin swabs biases disease inference","interactions":[],"lastModifiedDate":"2018-02-20T09:02:24","indexId":"70195517","displayToPublicDate":"2018-02-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Imperfect pathogen detection from non-invasive skin swabs biases disease inference","docAbstract":"1. Conservation managers rely on accurate estimates of disease parameters, such as pathogen prevalence and infection intensity, to assess disease status of a host population. However, these disease metrics may be biased if low-level infection intensities are missed by sampling methods or laboratory diagnostic tests. These false negatives underestimate pathogen prevalence and overestimate mean infection intensity of infected individuals. 2. Our objectives were two-fold. First, we quantified false negative error rates of Batrachochytrium dendrobatidis on non-invasive skin swabs collected from an amphibian community in El Copé, Panama. We swabbed amphibians twice in sequence, and we used a recently developed hierarchical Bayesian estimator to assess disease status of the population. Second, we developed a novel hierarchical Bayesian model to simultaneously account for imperfect pathogen detection from field sampling and laboratory diagnostic testing. We evaluated the performance of the model using simulations and varying sampling design to quantify the magnitude of bias in estimates of pathogen prevalence and infection intensity. 3. We show that Bd detection probability from skin swabs was related to host infection intensity, where Bd infections < 10 zoospores have < 95% probability of being detected. If imperfect Bd detection was not considered, then Bd prevalence was underestimated by as much as 16%. In the Bd-amphibian system, this indicates a need to correct for imperfect pathogen detection caused by skin swabs in persisting host communities with low-level infections. More generally, our results have implications for study designs in other disease systems, particularly those with similar objectives, biology, and sampling decisions. 4. Uncertainty in pathogen detection is an inherent property of most sampling protocols and diagnostic tests, where the magnitude of bias depends on the study system, type of infection, and false negative error rates. Given that it may be difficult to know this information in advance, we advocate that the most cautious approach is to assume all errors are possible and to accommodate them by adjusting sampling designs. The modeling framework presented here improves the accuracy in estimating pathogen prevalence and infection intensity.","language":"English","doi":"10.1111/2041-210X.12868","usgsCitation":"DiRenzo, G.V., Grant, E.H., Longo, A.V., Che-Castaldo, C., Zamudio, K.R., and Lips, K., 2018, Imperfect pathogen detection from non-invasive skin swabs biases disease inference: Methods in Ecology and Evolution, v. 9, no. 2, p. 380-389, https://doi.org/10.1111/2041-210X.12868.","productDescription":"10 p.","startPage":"380","endPage":"389","ipdsId":"IP-079826","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468988,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12868","text":"Publisher Index Page"},{"id":351805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","volume":"9","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-14","publicationStatus":"PW","scienceBaseUri":"5afee729e4b0da30c1bfc152","contributors":{"authors":[{"text":"DiRenzo, Graziella V.","contributorId":192177,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":728984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Evan H. Campbell 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":201360,"corporation":false,"usgs":true,"family":"Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H. Campbell","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":728983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longo, Ana V.","contributorId":202587,"corporation":false,"usgs":false,"family":"Longo","given":"Ana","email":"","middleInitial":"V.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":728985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Che-Castaldo, Christian","contributorId":202588,"corporation":false,"usgs":false,"family":"Che-Castaldo","given":"Christian","email":"","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":728986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zamudio, Kelly R.","contributorId":8320,"corporation":false,"usgs":true,"family":"Zamudio","given":"Kelly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":728987,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lips, Karen","contributorId":174835,"corporation":false,"usgs":false,"family":"Lips","given":"Karen","affiliations":[],"preferred":false,"id":728988,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195516,"text":"70195516 - 2018 - Effects of host species and environment on the skin microbiome of Plethodontid salamanders","interactions":[],"lastModifiedDate":"2018-02-20T10:11:12","indexId":"70195516","displayToPublicDate":"2018-02-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of host species and environment on the skin microbiome of Plethodontid salamanders","docAbstract":"
  1. The amphibian skin microbiome is recognized for its role in defence against pathogens, including the deadly fungal pathogen Batrachochytrium dendrobatidis (Bd). Yet, we have little understanding of evolutionary and ecological processes that structure these communities, especially for salamanders and closely related species. We investigated patterns in the distribution of bacterial communities on Plethodon salamander skin across host species and environments.
  2. Quantifying salamander skin microbiome structure contributes to our understanding of how host-associated bacteria are distributed across the landscape, among host species, and their putative relationship with disease.
  3. We characterized skin microbiome structure (alpha-diversity, beta-diversity and bacterial operational taxonomic unit [OTU] abundances) using 16S rRNA gene sequencing for co-occurring Plethodon salamander species (35 Plethodon cinereus, 17 Plethodon glutinosus, 10 Plethodon cylindraceus) at three localities to differentiate the effects of host species from environmental factors on the microbiome. We sampled the microbiome of P. cinereus along an elevational gradient (n = 50, 700–1,000 m a.s.l.) at one locality to determine whether elevation predicts microbiome structure. Finally, we quantified prevalence and abundance of putatively anti-Bd bacteria to determine if Bd-inhibitory bacteria are dominant microbiome members.
  4. Co-occurring salamanders had similar microbiome structure, but among sites salamanders had dissimilar microbiome structure for beta-diversity and abundance of 28 bacterial OTUs. We found that alpha-diversity increased with elevation, beta-diversity and the abundance of 17 bacterial OTUs changed with elevation (16 OTUs decreasing, 1 OTU increasing). We detected 11 putatively anti-Bd bacterial OTUs that were present on 90% of salamanders and made up an average relative abundance of 83% (SD ± 8.5) per salamander. All salamanders tested negative for Bd.
  5. We conclude that environment is more influential in shaping skin microbiome structure than host differences in these congeneric species, and suggest that environmental characteristics that covary with elevation influence microbiome structure. High prevalence and abundance of anti-Bd bacteria may contribute to low Bd levels in these populations of Plethodon salamanders.
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2656.12726","usgsCitation":"Muletz-Wolz, C., Yarwood, S.A., Grant, E.H., Fleischer, R.C., and Lips, K.R., 2018, Effects of host species and environment on the skin microbiome of Plethodontid salamanders: Journal of Animal Ecology, v. 87, p. 341-353, https://doi.org/10.1111/1365-2656.12726.","productDescription":"13 p.","startPage":"341","endPage":"353","ipdsId":"IP-074865","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":461023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12726","text":"Publisher Index Page"},{"id":351806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"5afee729e4b0da30c1bfc154","contributors":{"authors":[{"text":"Muletz-Wolz, Carly R.","contributorId":192176,"corporation":false,"usgs":false,"family":"Muletz-Wolz","given":"Carly R.","affiliations":[],"preferred":false,"id":728978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yarwood, Stephanie A.","contributorId":192178,"corporation":false,"usgs":false,"family":"Yarwood","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":728980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Evan H. Campbell 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":201360,"corporation":false,"usgs":true,"family":"Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H. Campbell","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":728977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleischer, Robert C.","contributorId":105421,"corporation":false,"usgs":true,"family":"Fleischer","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":728981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lips, Karen R.","contributorId":26258,"corporation":false,"usgs":true,"family":"Lips","given":"Karen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":728982,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195515,"text":"70195515 - 2018 - Contaminants of emerging concern presence and adverse effects in fish: A case study in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2018-03-26T11:55:57","indexId":"70195515","displayToPublicDate":"2018-02-20T00:00:00","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":"Contaminants of emerging concern presence and adverse effects in fish: A case study in the Laurentian Great Lakes","docAbstract":"The Laurentian Great Lakes are a valuable natural resource that is affected by contaminants of emerging concern (CECs), including sex steroid hormones, personal care products, pharmaceuticals, industrial chemicals, and new generation pesticides. However, little is known about the fate and biological effects of CECs in tributaries to the Great Lakes. In the current study, 16 sites on three rivers in the Great Lakes basin (Fox, Cuyahoga, and Raquette Rivers) were assessed for CEC presence using polar organic chemical integrative samplers (POCIS) and grab water samplers. Biological activity was assessed through a combination of in vitro bioassays (focused on estrogenic activity) and in vivo assays with larval fathead minnows. In addition, resident sunfish, largemouth bass, and white suckers were assessed for changes in\nbiological endpoints associated with CEC exposure. CECs were present in all water samples and POCIS extracts. A total of 111 and 97 chemicals were detected in at least one water sample and POCIS extract, respectively. Known estrogenic chemicals were detected in water samples at all 16 sites and in POCIS extracts at 13 sites. Most sites elicited estrogenic activity in bioassays. Ranking sites and rivers based on water chemistry, POCIS chemistry, or total in vitro estrogenicity produced comparable patterns with the Cuyahoga River ranking as most and the Raquette River as least affected by CECs. Changes in biological responses grouped according to physiological processes, and differed between species but not sex. The Fox and Cuyahoga Rivers often had significantly different patterns in biological response Our study supports the need for multiple lines of evidence and provides a framework to assess CEC presence and\neffects in fish in the Laurentian Great Lakes basin.","language":"English","publisher":"ScienceDirect","doi":"10.1016/j.envpol.2018.01.070","usgsCitation":"Jorgenson, Z.G., Thomas, L., Elliott, S.M., Cavallin, J.E., Randolph, E.C., Choy, S.J., Alvarez, D., Banda, J.A., Gefell, D.J., Lee, K., Furlong, E.T., and Schoenfuss, H.L., 2018, Contaminants of emerging concern presence and adverse effects in fish: A case study in the Laurentian Great Lakes: Environmental Pollution, v. 236, p. 718-733, https://doi.org/10.1016/j.envpol.2018.01.070.","productDescription":"16 p.","startPage":"718","endPage":"733","ipdsId":"IP-090883","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":351807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.8671875,\n 40.17887331434696\n ],\n [\n -73.828125,\n 40.17887331434696\n ],\n [\n -73.828125,\n 50.51342652633956\n ],\n [\n -93.8671875,\n 50.51342652633956\n ],\n [\n -93.8671875,\n 40.17887331434696\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"236","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee729e4b0da30c1bfc156","contributors":{"authors":[{"text":"Jorgenson, Zachary G.","contributorId":69476,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Zachary","email":"","middleInitial":"G.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":728966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Linnea M.","contributorId":146311,"corporation":false,"usgs":false,"family":"Thomas","given":"Linnea M.","affiliations":[],"preferred":false,"id":728967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":728965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cavallin, Jenna E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":728969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Randolph, Eric C.","contributorId":202582,"corporation":false,"usgs":false,"family":"Randolph","given":"Eric","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":728970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Choy, Steven J.","contributorId":138668,"corporation":false,"usgs":false,"family":"Choy","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":728971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":728972,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Banda, Jo A.","contributorId":196761,"corporation":false,"usgs":false,"family":"Banda","given":"Jo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":728973,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gefell, Daniel J.","contributorId":138671,"corporation":false,"usgs":false,"family":"Gefell","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":728974,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":728975,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":728976,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":728968,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70195514,"text":"70195514 - 2018 - On the exchange of sensible and latent heat between the atmosphere and melting snow","interactions":[],"lastModifiedDate":"2018-02-20T10:13:24","indexId":"70195514","displayToPublicDate":"2018-02-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"On the exchange of sensible and latent heat between the atmosphere and melting snow","docAbstract":"

The snow energy balance is difficult to measure during the snowmelt period, yet critical for predictions of water yield in regions characterized by snow cover. Robust simplifications of the snowmelt energy balance can aid our understanding of water resources in a changing climate. Research to date has demonstrated that the net turbulent flux (FT) between a melting snowpack and the atmosphere is negligible if the sum of atmospheric vapor pressure (ea) and temperature (Ta) equals a constant, but it is unclear how frequently this situation holds across different sites. Here, we quantified the contribution of FT to the snowpack energy balance during 59 snowmelt periods across 11 sites in the FLUXNET2015 database with a detailed analysis of snowmelt in subarctic tundra near Abisko, Sweden. At the Abisko site we investigated the frequency of occurrences during which sensible heat flux (H) and latent heat flux (λE) are of (approximately) equal but opposite sign, and if the sum of these terms, FT, is therefore negligible during the snowmelt period. H approximately equaled -λE for less than 50% of the melt period and FT was infrequently a trivial term in the snowmelt energy balance at Abisko. The reason is that the relationship between observed ea and Ta is roughly orthogonal to the “line of equality” at which H equals -λE as warmer Ta during the melt period usually resulted in greater ea. This relationship holds both within melt periods at individual sites and across different sites in the FLUXNET2015 database, where FTcomprised less than 20% of the energy available to melt snow, Qm, in 44% of the snowmelt periods studied here. FT/Qm was significantly related to the mean ea during the melt period, but not mean Ta, and FT tended to be near 0 W m−2 when ea averaged ca. 0.5 kPa. FT may become an increasingly important term in the snowmelt energy balance across many global regions as warmer temperatures are projected to cause snow to melt more slowly and earlier in the year under conditions of lower net radiation (Rn). Eddy covariance research networks such as Ameriflux must improve their ability to observe cold-season processes to enhance our understanding of water resources and surface-atmosphere exchange in a changing climate.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2018.01.028","usgsCitation":"Stoy, P., Peitzsch, E.H., Wood, D.J., Rottinghaus, D., Wohlfahrt, G., Goulden, M., and Ward, H., 2018, On the exchange of sensible and latent heat between the atmosphere and melting snow: Agricultural and Forest Meteorology, v. 252, p. 167-174, https://doi.org/10.1016/j.agrformet.2018.01.028.","productDescription":"8 p.","startPage":"167","endPage":"174","ipdsId":"IP-087816","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2018.01.028","text":"Publisher Index Page"},{"id":351808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"252","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee729e4b0da30c1bfc158","contributors":{"authors":[{"text":"Stoy, Paul C.","contributorId":60860,"corporation":false,"usgs":true,"family":"Stoy","given":"Paul C.","affiliations":[],"preferred":false,"id":728960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455 epeitzsch@usgs.gov","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":3786,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","email":"epeitzsch@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":728958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, David J. A. 0000-0003-4315-5160 dwood@usgs.gov","orcid":"https://orcid.org/0000-0003-4315-5160","contributorId":177588,"corporation":false,"usgs":true,"family":"Wood","given":"David","email":"dwood@usgs.gov","middleInitial":"J. A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":728959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rottinghaus, Daniel","contributorId":202579,"corporation":false,"usgs":false,"family":"Rottinghaus","given":"Daniel","email":"","affiliations":[{"id":36485,"text":"Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, Montana, USA.","active":true,"usgs":false}],"preferred":false,"id":728961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wohlfahrt, Georg","contributorId":202591,"corporation":false,"usgs":false,"family":"Wohlfahrt","given":"Georg","email":"","affiliations":[],"preferred":false,"id":728989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goulden, Michael","contributorId":192006,"corporation":false,"usgs":false,"family":"Goulden","given":"Michael","email":"","affiliations":[],"preferred":false,"id":728963,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, Helen","contributorId":202581,"corporation":false,"usgs":false,"family":"Ward","given":"Helen","email":"","affiliations":[{"id":36487,"text":"Department of Meteorology, University of Reading, Reading, RG6 6BB, United Kingdom and Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, 6020 Innsbruck, Austria","active":true,"usgs":false}],"preferred":false,"id":728964,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70195500,"text":"70195500 - 2018 - Plateau subduction, intraslab seismicity, and the Denali (Alaska) volcanic gap","interactions":[],"lastModifiedDate":"2018-02-20T10:08:36","indexId":"70195500","displayToPublicDate":"2018-02-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Plateau subduction, intraslab seismicity, and the Denali (Alaska) volcanic gap","docAbstract":"Tectonic tremors in Alaska (USA) are associated with subduction of the Yakutat plateau, but their origins are unclear due to lack of depth constraints. We have processed tremor recordings to extract low-frequency earthquakes (LFEs), and generated a set of six LFE waveform templates via iterative network matched filtering and stacking. The timing of impulsive P (compressional) wave and S (shear) wave arrivals on template waveforms places LFEs at 40–58 km depth, near the upper envelope of intraslab seismicity and immediately updip of increased levels of intraslab seismicity. S waves at near-epicentral distances display polarities consistent with shear slip on the plate boundary. We compare characteristics of LFEs, seismicity, and tectonic structures in central Alaska with those in warm subduction zones, and propose a new model for the region’s unusual intraslab seismicity and the enigmatic Denali volcanic gap (i.e., an area of no volcanism where expected). We argue that fluids in the Yakutat plate are confined to its upper crust, and that shallow subduction leads to hydromechanical conditions at the slab interface in central Alaska akin to those in warm subduction zones where similar LFEs and tremor occur. These conditions lead to fluid expulsion at shallow depths, explaining strike-parallel alignment of tremor occurrence with the Denali volcanic gap. Moreover, the lack of double seismic zone and restriction of deep intraslab seismicity to a persistent low-velocity zone are simple consequences of anhydrous conditions prevailing in the lower crust and upper mantle of the Yakutat plate.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G38867.1","usgsCitation":"Chuang, L.Y., Bostock, M., Wech, A., and Plourde, A., 2018, Plateau subduction, intraslab seismicity, and the Denali (Alaska) volcanic gap: Geology, v. 45, no. 7, p. 647-650, https://doi.org/10.1130/G38867.1.","productDescription":"4 p.","startPage":"647","endPage":"650","ipdsId":"IP-081838","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468986,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2429/64405","text":"External Repository"},{"id":351811,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali volcanic gap","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -184.39453125,\n 49.95121990866204\n ],\n [\n -137.63671875,\n 49.95121990866204\n ],\n [\n -137.63671875,\n 70.90226826757711\n ],\n [\n -184.39453125,\n 70.90226826757711\n ],\n [\n -184.39453125,\n 49.95121990866204\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-08","publicationStatus":"PW","scienceBaseUri":"5afee72ae4b0da30c1bfc15a","contributors":{"authors":[{"text":"Chuang, Lindsay Yuling","contributorId":173691,"corporation":false,"usgs":false,"family":"Chuang","given":"Lindsay","email":"","middleInitial":"Yuling","affiliations":[{"id":27275,"text":"Department of Earth Sciences, National Taiwan Normal University","active":true,"usgs":false}],"preferred":false,"id":728930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bostock, Michael","contributorId":202572,"corporation":false,"usgs":false,"family":"Bostock","given":"Michael","email":"","affiliations":[{"id":36484,"text":"UBC","active":true,"usgs":false}],"preferred":false,"id":728931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":728929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plourde, Alexandre","contributorId":202573,"corporation":false,"usgs":false,"family":"Plourde","given":"Alexandre","email":"","affiliations":[{"id":36484,"text":"UBC","active":true,"usgs":false}],"preferred":false,"id":728932,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195520,"text":"70195520 - 2018 - Corrugated megathrust revealed offshore from Costa Rica","interactions":[],"lastModifiedDate":"2018-03-05T15:23:45","indexId":"70195520","displayToPublicDate":"2018-02-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Corrugated megathrust revealed offshore from Costa Rica","docAbstract":"

Exhumed faults are rough, often exhibiting topographic corrugations oriented in the direction of slip; such features are fundamental to mechanical processes that drive earthquakes and fault evolution. However, our understanding of corrugation genesis remains limited due to a lack of in situ observations at depth, especially at subducting plate boundaries. Here we present three-dimensional seismic reflection data of the Costa Rica subduction zone that image a shallow megathrust fault characterized by corrugated, and chaotic and weakly corrugated topographies. The corrugated surfaces extend from near the trench to several kilometres down-dip, exhibit high reflection amplitudes (consistent with high fluid content/pressure) and trend 11–18° oblique to subduction, suggesting 15 to 25 mm yr−1 of trench-parallel slip partitioning across the plate boundary. The corrugations form along portions of the megathrust with greater cumulative slip and may act as fluid conduits. In contrast, weakly corrugated areas occur adjacent to active plate bending faults where the megathrust has migrated up-section, forming a nascent fault surface. The variations in megathrust roughness imaged here suggest that abandonment and then reestablishment of the megathrust up-section transiently increases fault roughness. Analogous corrugations may exist along significant portions of subduction megathrusts globally.

","language":"English","publisher":"Nature","doi":"10.1038/s41561-018-0061-4","usgsCitation":"Edwards, J.H., Kluesner, J.W., Silver, E.A., Brodsky, E.E., Brothers, D.S., Bangs, N.L., Kirkpatrick, J.D., Wood, R., and Okamato, K., 2018, Corrugated megathrust revealed offshore from Costa Rica: Nature Geoscience, v. 11, p. 197-202, https://doi.org/10.1038/s41561-018-0061-4.","productDescription":"6 p.","startPage":"197","endPage":"202","ipdsId":"IP-090462","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468985,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.mcgill.ca/concern/articles/ht24wq37d","text":"External Repository"},{"id":351819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-12","publicationStatus":"PW","scienceBaseUri":"5afee729e4b0da30c1bfc14e","contributors":{"authors":[{"text":"Edwards, Joel H.","contributorId":202599,"corporation":false,"usgs":false,"family":"Edwards","given":"Joel","email":"","middleInitial":"H.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":729006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":201261,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":729004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silver, Eli A.","contributorId":83505,"corporation":false,"usgs":true,"family":"Silver","given":"Eli","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":729007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brodsky, Emily E.","contributorId":29660,"corporation":false,"usgs":true,"family":"Brodsky","given":"Emily","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":729008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":729009,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bangs, Nathan L.","contributorId":202602,"corporation":false,"usgs":false,"family":"Bangs","given":"Nathan","email":"","middleInitial":"L.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":729010,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirkpatrick, James D.","contributorId":202603,"corporation":false,"usgs":false,"family":"Kirkpatrick","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":729011,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wood, Ruby","contributorId":202604,"corporation":false,"usgs":false,"family":"Wood","given":"Ruby","email":"","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":729012,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Okamato, Kristina","contributorId":202605,"corporation":false,"usgs":false,"family":"Okamato","given":"Kristina","email":"","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":729013,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70195498,"text":"70195498 - 2018 - Evaluating GPS biologging technology for studying spatial ecology of large constricting snakes","interactions":[],"lastModifiedDate":"2018-02-19T16:43:20","indexId":"70195498","displayToPublicDate":"2018-02-19T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating GPS biologging technology for studying spatial ecology of large constricting snakes","docAbstract":"

Background: GPS telemetry has revolutionized the study of animal spatial ecology in the last two decades. Until recently, it has mainly been deployed on large mammals and birds, but the technology is rapidly becoming miniaturized, and applications in diverse taxa are becoming possible. Large constricting snakes are top predators in their ecosystems, and accordingly they are often a management priority, whether their populations are threatened or invasive. Fine-scale GPS tracking datasets could greatly improve our ability to understand and manage these snakes, but the ability of this new technology to deliver high-quality data in this system is unproven. In order to evaluate GPS technology in large constrictors, we GPS-tagged 13 Burmese pythons (Python bivittatus) in Everglades National Park and deployed an additional 7 GPS tags on stationary platforms to evaluate habitat-driven biases in GPS locations. Both python and test platform GPS tags were programmed to attempt a GPS fix every 90 min.

Results: While overall fix rates for the tagged pythons were low (18.1%), we were still able to obtain an average of 14.5 locations/animal/week, a large improvement over once-weekly VHF tracking. We found overall accuracy and precision to be very good (mean accuracy = 7.3 m, mean precision = 12.9 m), but a very few imprecise locations were still recorded (0.2% of locations with precision > 1.0 km). We found that dense vegetation did decrease fix rate, but we concluded that the low observed fix rate was also due to python microhabitat selection underground or underwater. Half of our recovered pythons were either missing their tag or the tag had malfunctioned, resulting in no data being recovered.

Conclusions: GPS biologging technology is a promising tool for obtaining frequent, accurate, and precise locations of large constricting snakes. We recommend future studies couple GPS telemetry with frequent VHF locations in order to reduce bias and limit the impact of catastrophic failures on data collection, and we recommend improvements to GPS tag design to lessen the frequency of these failures.

","language":"English","publisher":"BioMedCentral","doi":"10.1186/s40317-018-0145-3","usgsCitation":"Smith, B., Hart, K.M., Mazzotti, F., Basille, M., and Romagosa, C.M., 2018, Evaluating GPS biologging technology for studying spatial ecology of large constricting snakes: Animal Biotelemetry, v. 6, no. 1, 13 p., https://doi.org/10.1186/s40317-018-0145-3.","productDescription":"13 p.","ipdsId":"IP-090260","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":461035,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-018-0145-3","text":"Publisher Index Page"},{"id":438009,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H41QB6","text":"USGS data release","linkHelpText":"Evaluating GPS biologging technology for studying spatial ecology of large constricting snakes, Everglades National Park, 2015-2017"},{"id":351779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.9197998046875,\n 25.130365915065003\n ],\n [\n -80.61767578124999,\n 25.130365915065003\n ],\n [\n -80.61767578124999,\n 25.55978725072876\n ],\n [\n -80.9197998046875,\n 25.55978725072876\n ],\n [\n -80.9197998046875,\n 25.130365915065003\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-13","publicationStatus":"PW","scienceBaseUri":"5afee72be4b0da30c1bfc162","contributors":{"authors":[{"text":"Smith, Brian 0000-0002-0531-0492 bjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":202305,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","email":"bjsmith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":728918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":728919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":728920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basille, Mathieu","contributorId":175274,"corporation":false,"usgs":false,"family":"Basille","given":"Mathieu","email":"","affiliations":[],"preferred":false,"id":728921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":728922,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195545,"text":"70195545 - 2018 - Genomic evolution, recombination, and inter-strain diversity of chelonid alphaherpesvirus 5 from Florida and Hawaii green sea turtles with fibropapillomatosis","interactions":[],"lastModifiedDate":"2018-02-22T14:19:51","indexId":"70195545","displayToPublicDate":"2018-02-19T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Genomic evolution, recombination, and inter-strain diversity of chelonid alphaherpesvirus 5 from Florida and Hawaii green sea turtles with fibropapillomatosis","docAbstract":"

Chelonid alphaherpesvirus 5 (ChHV5) is a herpesvirus associated with fibropapillomatosis (FP) in sea turtles worldwide. Single-locus typing has previously shown differentiation between Atlantic and Pacific strains of this virus, with low variation within each geographic clade. However, a lack of multi-locus genomic sequence data hinders understanding of the rate and mechanisms of ChHV5 evolutionary divergence, as well as how these genomic changes may contribute to differences in disease manifestation. To assess genomic variation in ChHV5 among five Hawaii and three Florida green sea turtles, we used high-throughput short-read sequencing of long-range PCR products amplified from tumor tissue using primers designed from the single available ChHV5 reference genome from a Hawaii green sea turtle. This strategy recovered sequence data from both geographic regions for approximately 75% of the predicted ChHV5 coding sequences. The average nucleotide divergence between geographic populations was 1.5%; most of the substitutions were fixed differences between regions. Protein divergence was generally low (average 0.08%), and ranged between 0 and 5.3%. Several atypical genes originally identified and annotated in the reference genome were confirmed in ChHV5 genomes from both geographic locations. Unambiguous recombination events between geographic regions were identified, and clustering of private alleles suggests the prevalence of recombination in the evolutionary history of ChHV5. This study significantly increased the amount of sequence data available from ChHV5 strains, enabling informed selection of loci for future population genetic and natural history studies, and suggesting the (possibly latent) co-infection of individuals by well-differentiated geographic variants.

","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.4386","usgsCitation":"Morrison, C.L., Iwanowicz, L.R., Work, T.M., Fahsbender, E., Breitbart, M., Adams, C.R., Iwanowicz, D.D., Sanders, L., Ackermann, M., and Cornman, R.S., 2018, Genomic evolution, recombination, and inter-strain diversity of chelonid alphaherpesvirus 5 from Florida and Hawaii green sea turtles with fibropapillomatosis: PeerJ, v. 6, p. 1-33, https://doi.org/10.7717/peerj.4386.","productDescription":"e4386; 33 p.","startPage":"1","endPage":"33","ipdsId":"IP-091221","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.4386","text":"Publisher Index Page"},{"id":351885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Hawaii","volume":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-20","publicationStatus":"PW","scienceBaseUri":"5afee72ae4b0da30c1bfc160","contributors":{"authors":[{"text":"Morrison, Cheryl L. 0000-0001-9425-691X cmorrison@usgs.gov","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":146488,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","email":"cmorrison@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":729206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":729211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":729214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fahsbender, Elizabeth","contributorId":139299,"corporation":false,"usgs":false,"family":"Fahsbender","given":"Elizabeth","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":729208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breitbart, Mya","contributorId":139298,"corporation":false,"usgs":false,"family":"Breitbart","given":"Mya","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":729209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Cynthia R. 0000-0003-4383-530X cradams@usgs.gov","orcid":"https://orcid.org/0000-0003-4383-530X","contributorId":176965,"corporation":false,"usgs":true,"family":"Adams","given":"Cynthia","email":"cradams@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":729212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":729215,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sanders, Lakyn lsanders@usgs.gov","contributorId":202643,"corporation":false,"usgs":true,"family":"Sanders","given":"Lakyn","email":"lsanders@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":729207,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ackermann, Mathias","contributorId":127682,"corporation":false,"usgs":false,"family":"Ackermann","given":"Mathias","email":"","affiliations":[{"id":7110,"text":"Institute of Virology, University of Zurich, Switzerland.","active":true,"usgs":false}],"preferred":false,"id":729210,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":729213,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70197034,"text":"70197034 - 2018 - The potential of unmanned aerial systems for sea turtle research and conservation: a review and future directions","interactions":[],"lastModifiedDate":"2018-05-15T16:10:55","indexId":"70197034","displayToPublicDate":"2018-02-19T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"The potential of unmanned aerial systems for sea turtle research and conservation: a review and future directions","docAbstract":"

The use of satellite systems and manned aircraft surveys for remote data collection has been shown to be transformative for sea turtle conservation and research by enabling the collection of data on turtles and their habitats over larger areas than can be achieved by surveys on foot or by boat. Unmanned aerial vehicles (UAVs) or drones are increasingly being adopted to gather data, at previously unprecedented spatial and temporal resolutions in diverse geographic locations. This easily accessible, low-cost tool is improving existing research methods and enabling novel approaches in marine turtle ecology and conservation. Here we review the diverse ways in which incorporating inexpensive UAVs may reduce costs and field time while improving safety and data quality and quantity over existing methods for studies on turtle nesting, at-sea distribution and behaviour surveys, as well as expanding into new avenues such as surveillance against illegal take. Furthermore, we highlight the impact that high-quality aerial imagery captured by UAVs can have for public outreach and engagement. This technology does not come without challenges. We discuss the potential constraints of these systems within the ethical and legal frameworks which researchers must operate and the difficulties that can result with regard to storage and analysis of large amounts of imagery. We then suggest areas where technological development could further expand the utility of UAVs as data-gathering tools; for example, functioning as downloading nodes for data collected by sensors placed on turtles. Development of methods for the use of UAVs in sea turtle research will serve as case studies for use with other marine and terrestrial taxa.

","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00877","usgsCitation":"Rees, A.F., Avens, L., Ballorain, K., Bevan, E., Broderick, A.C., Carthy, R.R., Christianen, M.J., Duclos, G., Heithaus, M.R., Johnston, D.W., Mangel, J.C., Paladino, F.V., Pendoley, K., Reina, R.D., Robinson, N.J., Ryan, R., Sykora-Bodie, S.T., Tilley, D., Varela, M.R., Whitman, E.R., Whittock, P.A., Wibbels, T., and Godley, B.J., 2018, The potential of unmanned aerial systems for sea turtle research and conservation: a review and future directions: Endangered Species Research, v. 35, p. 81-100, https://doi.org/10.3354/esr00877.","productDescription":"20 p.","startPage":"81","endPage":"100","ipdsId":"IP-093032","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00877","text":"Publisher Index Page"},{"id":354192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee72ae4b0da30c1bfc15e","contributors":{"authors":[{"text":"Rees, Alan F.","contributorId":112862,"corporation":false,"usgs":true,"family":"Rees","given":"Alan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":735424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avens, Larisa","contributorId":204905,"corporation":false,"usgs":false,"family":"Avens","given":"Larisa","email":"","affiliations":[],"preferred":false,"id":735425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballorain, Katia","contributorId":204906,"corporation":false,"usgs":false,"family":"Ballorain","given":"Katia","email":"","affiliations":[],"preferred":false,"id":735426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bevan, Elizabeth","contributorId":204907,"corporation":false,"usgs":false,"family":"Bevan","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":735427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Broderick, Annette C.","contributorId":174296,"corporation":false,"usgs":false,"family":"Broderick","given":"Annette","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":735428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christianen, Marjolijn J. A.","contributorId":204908,"corporation":false,"usgs":false,"family":"Christianen","given":"Marjolijn","email":"","middleInitial":"J. A.","affiliations":[],"preferred":false,"id":735429,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duclos, Gwenael","contributorId":204909,"corporation":false,"usgs":false,"family":"Duclos","given":"Gwenael","email":"","affiliations":[],"preferred":false,"id":735430,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heithaus, Michael R.","contributorId":42828,"corporation":false,"usgs":true,"family":"Heithaus","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735431,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnston, David W.","contributorId":112845,"corporation":false,"usgs":true,"family":"Johnston","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":735432,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mangel, Jeffrey C.","contributorId":204910,"corporation":false,"usgs":false,"family":"Mangel","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":735433,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Paladino, Frank V.","contributorId":192083,"corporation":false,"usgs":false,"family":"Paladino","given":"Frank","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":735434,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pendoley, Kellie","contributorId":204911,"corporation":false,"usgs":false,"family":"Pendoley","given":"Kellie","email":"","affiliations":[],"preferred":false,"id":735435,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Reina, Richard D.","contributorId":204912,"corporation":false,"usgs":false,"family":"Reina","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":735436,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Robinson, Nathan J.","contributorId":204913,"corporation":false,"usgs":false,"family":"Robinson","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735437,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ryan, Robert","contributorId":204914,"corporation":false,"usgs":false,"family":"Ryan","given":"Robert","affiliations":[],"preferred":false,"id":735438,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sykora-Bodie, Seth T.","contributorId":204915,"corporation":false,"usgs":false,"family":"Sykora-Bodie","given":"Seth","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":735439,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tilley, Dominic","contributorId":204916,"corporation":false,"usgs":false,"family":"Tilley","given":"Dominic","email":"","affiliations":[],"preferred":false,"id":735440,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Varela, Miguel R.","contributorId":204917,"corporation":false,"usgs":false,"family":"Varela","given":"Miguel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735441,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Whitman, Elizabeth R.","contributorId":204918,"corporation":false,"usgs":false,"family":"Whitman","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735442,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Whittock, Paul A.","contributorId":204919,"corporation":false,"usgs":false,"family":"Whittock","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735443,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Wibbels, Thane","contributorId":200839,"corporation":false,"usgs":false,"family":"Wibbels","given":"Thane","email":"","affiliations":[],"preferred":false,"id":735444,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Godley, Brendan J.","contributorId":174289,"corporation":false,"usgs":false,"family":"Godley","given":"Brendan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735445,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70195416,"text":"fs20173091 - 2018 - Assessment of undiscovered conventional oil and gas resources in the Wyoming Thrust Belt Province, Wyoming, Idaho, and Utah, 2017","interactions":[],"lastModifiedDate":"2018-02-20T10:36:17","indexId":"fs20173091","displayToPublicDate":"2018-02-16T17:20:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3091","title":"Assessment of undiscovered conventional oil and gas resources in the Wyoming Thrust Belt Province, Wyoming, Idaho, and Utah, 2017","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable resources of 26 million barrels of oil and 700 billion cubic feet of gas in the Wyoming Thrust Belt Province, Wyoming, Idaho, and Utah.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173091","usgsCitation":"Schenk, C.J., Mercier, T.J., Tennyson, M.E., Woodall, C.A., Brownfield, M.E., Le, P.A., Klett, T.R., Gaswirth, S.B., Finn, T.M., Marra, K.R., and Leathers-Miller, H.M., 2018, Assessment of undiscovered conventional oil and gas resources in the Wyoming Thrust Belt Province, Wyoming, Idaho, and Utah, 2017: U.S. Geological Survey Fact Sheet 2017–3091, 2 p., https://doi.org/10.3133/fs20173091.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-091004","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":351724,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3091/coverthb.jpg"},{"id":351727,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3091/fs20173091.pdf","text":"Report","size":"1.26 M","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3091"}],"country":"United States","state":"Idaho, Utah, Wyoming","otherGeospatial":"Wyoming Thrust Belt Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112,\n 40.5\n ],\n [\n -110,\n 40.5\n ],\n [\n -110,\n 43.5\n ],\n [\n -112,\n 43.5\n ],\n [\n -112,\n 40.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-02-16","noUsgsAuthors":false,"publicationDate":"2018-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":728747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":728748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":149259,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","email":"tennyson@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":728749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gob","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194411,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl A.","email":"cwoodall@usgs.gob","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":728750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":728751,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":149770,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","email":"ple@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":728752,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":728753,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":3109,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie B.","email":"sgaswirth@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":728754,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":728755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science 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In the traditional method of characteristics for groundwater solute-transport models, advective transport is represented by moving particles that track concentration. This approach can lead to global mass-balance problems because in models of aquifers having complex boundary conditions and heterogeneous properties, particles can originate in cells having different pore volumes and (or) be introduced (or removed) at cells representing fluid sources (or sinks) of varying strengths. Use of volume-weighted particles means that each particle tracks solute mass. In source or sink cells, the changes in particle weights will match the volume of water added or removed through external fluxes. This enables the new method to conserve mass in source or sink cells as well as globally. This approach also leads to potential efficiencies by allowing the number of particles per cell to vary spatially—using more particles where concentration gradients are high and fewer where gradients are low. The approach also eliminates the need for the model user to have to distinguish between “weak” and “strong” fluid source (or sink) cells. The new model determines whether solute mass added by fluid sources in a cell should be represented by (1) new particles having weights representing appropriate fractions of the volume of water added by the source, or (2) distributing the solute mass added over all particles already in the source cell. The first option is more appropriate for the condition of a strong source; the latter option is more appropriate for a weak source. At sinks, decisions whether or not to remove a particle are replaced by a reduction in particle weight in proportion to the volume of water removed. A number of test cases demonstrate that the new method works well and conserves mass. The method is incorporated into a new version of the U.S. Geological Survey’s MODFLOW–GWT solute-transport model.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Groundwater in Book 6: Modeling techniques","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A58","usgsCitation":"Winston, R.B., Konikow, L.F., and Hornberger, G.Z., 2018, Volume-weighted particle-tracking method for solute-transport modeling; Implementation in MODFLOW–GWT: U.S. Geological Survey Techniques and Methods, book 6, chap. A58, 44 p., https://doi.org/10.3133/tm6A58.","productDescription":"v, 44 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-082949","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":351613,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a58/coverthb.jpg"},{"id":351614,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a58/tm6a58.pdf","text":"Report","size":"2.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-A58"}],"publicComments":"This report is Chapter 58 of Section A: Groundwater in Book 6 Modeling techniques.","contact":"

Director, Integrated Modeling and Prediction Division
U.S. Geological Survey
MS 415 National Center
12201 Sunrise Valley Drive
Reston, VA 20192

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","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-02-16","noUsgsAuthors":false,"publicationDate":"2018-02-16","publicationStatus":"PW","scienceBaseUri":"5afee72be4b0da30c1bfc164","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":712020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":712021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hornberger, George Z.","contributorId":196948,"corporation":false,"usgs":false,"family":"Hornberger","given":"George","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":712022,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195463,"text":"70195463 - 2018 - Analysis of vegetation recovery surrounding a restored wetland using the normalized difference infrared index (NDII) and normalized difference vegetation index (NDVI)","interactions":[],"lastModifiedDate":"2018-02-16T10:33:21","indexId":"70195463","displayToPublicDate":"2018-02-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of vegetation recovery surrounding a restored wetland using the normalized difference infrared index (NDII) and normalized difference vegetation index (NDVI)","docAbstract":"Watershed restoration efforts seek to rejuvenate vegetation, biological diversity, and land productivity at Cienega San Bernardino, an important wetland in southeastern Arizona and northern Sonora, Mexico. Rock detention and earthen berm structures were built on the Cienega San Bernardino over the course of four decades, beginning in 1984 and continuing to the present. Previous research findings show that restoration supports and even increases vegetation health despite ongoing drought conditions in this arid watershed. However, the extent of restoration impacts is still unknown despite qualitative observations of improvement in surrounding vegetation amount and vigor. We analyzed spatial and temporal trends in vegetation greenness and soil moisture by applying the normalized difference vegetation index (NDVI) and normalized difference infrared index (NDII) to one dry summer season Landsat path/row from 1984 to 2016. The study area was divided into zones and spectral data for each zone was analyzed and compared with precipitation record using statistical measures including linear regression, Mann– Kendall test, and linear correlation. NDVI and NDII performed differently due to the presence of continued grazing and the effects of grazing on canopy cover; NDVI was better able to track changes in vegetation in areas without grazing while NDII was better at tracking changes in areas with continued grazing. Restoration impacts display higher greenness and vegetation water content levels, greater increases in greenness and water content through time, and a decoupling of vegetation greenness and water content from spring precipitation when compared to control sites in nearby tributary and upland areas. Our results confirm the potential of erosion control structures to affect areas up to 5 km downstream of restoration sites over time and to affect 1 km upstream of the sites.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2018.1437297","usgsCitation":"Wilson, N., and Norman, L., 2018, Analysis of vegetation recovery surrounding a restored wetland using the normalized difference infrared index (NDII) and normalized difference vegetation index (NDVI): International Journal of Remote Sensing, v. 39, no. 10, p. 3243-3274, https://doi.org/10.1080/01431161.2018.1437297.","productDescription":"30 p.","startPage":"3243","endPage":"3274","ipdsId":"IP-087663","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468994,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/01431161.2018.1437297","text":"Publisher Index Page"},{"id":438011,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F798867T","text":"USGS data release","linkHelpText":"Data Release for Analysis of Vegetation Recovery Surrounding a Restored Wetland using the Normalized Difference Infrared Index (NDII) and Normalized Difference Vegetation Index (NDVI)"},{"id":351692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Cuenca Los Ojos, San Bernardino National Wildlife Refuge, San Bernadino Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.51995849609375,\n 31.049404461655996\n ],\n [\n -108.93630981445312,\n 31.049404461655996\n ],\n [\n -108.93630981445312,\n 31.468496379205966\n ],\n [\n -109.51995849609375,\n 31.468496379205966\n ],\n [\n -109.51995849609375,\n 31.049404461655996\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-12","publicationStatus":"PW","scienceBaseUri":"5afee72be4b0da30c1bfc16e","contributors":{"authors":[{"text":"Wilson, Natalie R. 0000-0001-5145-1221","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":202534,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":728707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura","contributorId":202535,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":728708,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195470,"text":"70195470 - 2018 - Foraging and fasting can influence contaminant concentrations in animals: an example with mercury contamination in a free-ranging marine mammal","interactions":[],"lastModifiedDate":"2018-02-16T11:55:26","indexId":"70195470","displayToPublicDate":"2018-02-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Foraging and fasting can influence contaminant concentrations in animals: an example with mercury contamination in a free-ranging marine mammal","docAbstract":"Large fluctuations in animal body mass in relation to life-history events can influence contaminant concentrations and toxicological risk. We quantified mercury concentrations in adult northern elephant seals (Mirounga angustirostris) before and after lengthy at sea foraging trips (n = 89) or fasting periods on land (n = 27), and showed that mercury concentrations in blood and muscle changed in response to these events. The highest blood mercury concentrations were observed after the breeding fast, whereas the highest muscle mercury concentrations were observed when seals returned to land to moult. Mean female blood mercury concentrations decreased by 30% across each of the two annual foraging trips, demonstrating a foraging-associated dilution of mercury concentrations as seals gained mass. Blood mercury concentrations increased by 103% and 24% across the breeding and moulting fasts, respectively, demonstrating a fasting-associated concentration of mercury as seals lost mass. In contrast to blood, mercury concentrations in female's muscle increased by 19% during the post-breeding foraging trip and did not change during the post-moulting foraging trip. While fasting, female muscle mercury concentrations increased 26% during breeding, but decreased 14% during moulting. Consequently, regardless of exposure, an animal's contaminant concentration can be markedly influenced by their annual life-history events.","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2017.2782","usgsCitation":"Peterson, S.H., Ackerman, J., Crocker, D., and Costa, D.P., 2018, Foraging and fasting can influence contaminant concentrations in animals: an example with mercury contamination in a free-ranging marine mammal: Proceedings of the Royal Society B, v. 285, no. 1872, e20172782, https://doi.org/10.1098/rspb.2017.2782.","productDescription":"e20172782","ipdsId":"IP-089925","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468992,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5829211","text":"Publisher Index Page"},{"id":351709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"285","issue":"1872","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-07","publicationStatus":"PW","scienceBaseUri":"5afee72be4b0da30c1bfc16a","contributors":{"authors":[{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":728742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":728741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crocker, Daniel E.","contributorId":202543,"corporation":false,"usgs":false,"family":"Crocker","given":"Daniel E.","affiliations":[{"id":36475,"text":"Sonoma State University","active":true,"usgs":false}],"preferred":false,"id":728743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Costa, Daniel P.","contributorId":141212,"corporation":false,"usgs":false,"family":"Costa","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":728744,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195486,"text":"70195486 - 2018 - Combining InSAR and GPS to determine transient movement and thickness of a seasonally active low-gradient translational landslide","interactions":[],"lastModifiedDate":"2018-02-28T10:08:37","indexId":"70195486","displayToPublicDate":"2018-02-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Combining InSAR and GPS to determine transient movement and thickness of a seasonally active low-gradient translational landslide","docAbstract":"

The combined application of continuous Global Positioning System data (high temporal resolution) with spaceborne interferometric synthetic aperture radar data (high spatial resolution) can reveal much more about the complexity of large landslide movement than is possible with geodetic measurements tied to only a few specific measurement sites. This approach is applied to an ~4 km2 reactivated translational landslide in the Columbia River Gorge (Washington State), which moves mainly during the winter rainy season. Results reveal the complex three-dimensional shape of the landslide mass, how onset of sliding relates to cumulative rainfall, how surface velocity during sliding varies with location on the topographically complex landslide surface, and how the ground surface subsides slightly in weeks prior to downslope sliding.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL076623","usgsCitation":"Hu, X., Lu, Z., Pierson, T.C., Kramer, R., and George, D.L., 2018, Combining InSAR and GPS to determine transient movement and thickness of a seasonally active low-gradient translational landslide: Geophysical Research Letters, v. 45, no. 3, p. 1453-1462, https://doi.org/10.1002/2017GL076623.","productDescription":"10 p.","startPage":"1453","endPage":"1462","ipdsId":"IP-092803","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":500000,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/d19a56af07ed4e3097df8bf3488d6cd3","text":"External Repository"},{"id":351747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.9833,\n 45.6333\n ],\n [\n -121.8667,\n 45.6333\n ],\n [\n -121.8667,\n 45.7333\n ],\n [\n -121.9833,\n 45.7333\n ],\n [\n -121.9833,\n 45.6333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-15","publicationStatus":"PW","scienceBaseUri":"5afee72be4b0da30c1bfc166","contributors":{"authors":[{"text":"Hu, Xie","contributorId":177306,"corporation":false,"usgs":false,"family":"Hu","given":"Xie","email":"","affiliations":[],"preferred":false,"id":728830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong","contributorId":202550,"corporation":false,"usgs":false,"family":"Lu","given":"Zhong","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":728831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierson, Thomas C. 0000-0001-9002-4273 tpierson@usgs.gov","orcid":"https://orcid.org/0000-0001-9002-4273","contributorId":2498,"corporation":false,"usgs":true,"family":"Pierson","given":"Thomas","email":"tpierson@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":728829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kramer, Rebecca 0000-0002-4873-1983 rkramer@usgs.gov","orcid":"https://orcid.org/0000-0002-4873-1983","contributorId":195070,"corporation":false,"usgs":true,"family":"Kramer","given":"Rebecca","email":"rkramer@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":728908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":728832,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195485,"text":"70195485 - 2018 - Phytoforensics: Trees as bioindicators of potential indoor exposure via vapor intrusion","interactions":[],"lastModifiedDate":"2018-02-16T15:40:38","indexId":"70195485","displayToPublicDate":"2018-02-16T00:00:00","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":"Phytoforensics: Trees as bioindicators of potential indoor exposure via vapor intrusion","docAbstract":"

Human exposure to volatile organic compounds (VOCs) via vapor intrusion (VI) is an emerging public health concern with notable detrimental impacts on public health. Phytoforensics, plant sampling to semi-quantitatively delineate subsurface contamination, provides a potential non-invasive screening approach to detect VI potential, and plant sampling is effective and also time- and cost-efficient. Existing VI assessment methods are time- and resource-intensive, invasive, and require access into residential and commercial buildings to drill holes through basement slabs to install sampling ports or require substantial equipment to install groundwater or soil vapor sampling outside the home. Tree-core samples collected in 2 days at the PCE Southeast Contamination Site in York, Nebraska were analyzed for tetrachloroethene (PCE) and results demonstrated positive correlations with groundwater, soil, soil-gas, sub-slab, and indoor-air samples collected over a 2-year period. Because tree-core samples were not collocated with other samples, interpolated surfaces of PCE concentrations were estimated so that comparisons could be made between pairs of data. Results indicate moderate to high correlation with average indoor-air and sub-slab PCE concentrations over long periods of time (months to years) to an interpolated tree-core PCE concentration surface, with Spearman’s correlation coefficients (ρ) ranging from 0.31 to 0.53 that are comparable to the pairwise correlation between sub-slab and indoor-air PCE concentrations (ρ = 0.55, n = 89). Strong correlations between soil-gas, sub-slab, and indoor-air PCE concentrations and an interpolated tree-core PCE concentration surface indicate that trees are valid indicators of potential VI and human exposure to subsurface environment pollutants. The rapid and non-invasive nature of tree sampling are notable advantages: even with less than 60 trees in the vicinity of the source area, roughly 12 hours of tree-core sampling with minimal equipment at the PCE Southeast Contamination Site was sufficient to delineate vapor intrusion potential in the study area and offered comparable delineation to traditional sub-slab sampling performed at 140 properties over a period of approximately 2 years.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0193247","usgsCitation":"Wilson, J.L., Samaranayake, V., Limmer, M.A., and Burken, J.G., 2018, Phytoforensics: Trees as bioindicators of potential indoor exposure via vapor intrusion: PLoS ONE, v. 13, no. 2, p. 1-17, https://doi.org/10.1371/journal.pone.0193247.","productDescription":"e0193247; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-085495","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":468991,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0193247","text":"Publisher Index Page"},{"id":438010,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CF9P06","text":"USGS data release","linkHelpText":"Concentrations of tetrachloroethylene in tree-core, groundwater, soil, soil-gas, indoor-air, and sub-slab samples from the Tetrachloroethene Southeast Contamination Site in York, Nebraska, 2014-2016."},{"id":351746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","city":"York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.595,\n 40.87\n ],\n [\n -97.575,\n 40.87\n ],\n [\n -97.575,\n 40.8639\n ],\n [\n -97.595,\n 40.8639\n ],\n [\n -97.595,\n 40.87\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-16","publicationStatus":"PW","scienceBaseUri":"5afee72be4b0da30c1bfc168","contributors":{"authors":[{"text":"Wilson, Jordan L. 0000-0003-0490-9062 jlwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-0490-9062","contributorId":5416,"corporation":false,"usgs":true,"family":"Wilson","given":"Jordan","email":"jlwilson@usgs.gov","middleInitial":"L.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":728825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samaranayake, V.A. 0000-0002-1892-8363","orcid":"https://orcid.org/0000-0002-1892-8363","contributorId":201176,"corporation":false,"usgs":false,"family":"Samaranayake","given":"V.A.","email":"","affiliations":[],"preferred":false,"id":728826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Limmer, Matthew A.","contributorId":200927,"corporation":false,"usgs":false,"family":"Limmer","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":728827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burken, Joel G.","contributorId":21218,"corporation":false,"usgs":true,"family":"Burken","given":"Joel","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":728828,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195360,"text":"ofr20181021 - 2018 - Draft critical mineral list—Summary of methodology and background information—U.S. Geological Survey technical input document in response to Secretarial Order No. 3359","interactions":[],"lastModifiedDate":"2018-02-16T09:47:43","indexId":"ofr20181021","displayToPublicDate":"2018-02-16T00:00:00","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":"2018-1021","title":"Draft critical mineral list—Summary of methodology and background information—U.S. Geological Survey technical input document in response to Secretarial Order No. 3359","docAbstract":"

Pursuant to the Presidential Executive Order (EO) No. 13817, “A Federal Strategy to Ensure Secure and Reliable Supplies of Critical Minerals,” the Secretary of the Interior, in coordination with the Secretary of Defense, and in consultation with the heads of other relevant executive departments and agencies, was tasked with developing and submitting a draft list of minerals defined as “critical minerals” to the Federal Register within 60 days of the issue of the EO (December 20, 2017).

Based on an analysis by the U.S. Geological Survey and other U.S. Government agencies, using multiple criteria, 35 minerals or mineral material groups have been identified that are currently (February 2018) considered critical. These include the following: aluminum (bauxite), antimony, arsenic, barite, beryllium, bismuth, cesium, chromium, cobalt, fluorspar, gallium, germanium, graphite (natural), hafnium, helium, indium, lithium, magnesium, manganese, niobium, platinum group metals, potash, rare earth elements group, rhenium, rubidium, scandium, strontium, tantalum, tellurium, tin, titanium, tungsten, uranium, vanadium, and zirconium. The categorization of minerals as critical may change during the course of the review process and is thus provisional.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181021","usgsCitation":"Fortier, S.M., Nassar, N.T., Lederer, G.W., Brainard, Jamie, Gambogi, Joseph, and McCullough, E.A., 2018, Draft critical mineral list—Summary of methodology and background information—U.S. Geological Survey technical input document in response to Secretarial Order No. 3359: U.S. Geological Survey Open-File Report 2018–1021, 15 p., https://doi.org/10.3133/ofr20181021.","productDescription":"v, 15 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-094985","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":351641,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1021/coverthb.jpg"},{"id":351642,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1021/ofr20181021.pdf","text":"Report","size":"309 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1021"}],"contact":"

National Minerals Information Center
U.S. Geological Survey
988 National Center
Reston, Virginia 20192

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Megalonaias is the most geographically widespread genus of the subfamily Ambleminae and is distributed across much of the eastern half of North America, from Minnesota to Nicaragua. Despite the large geographic distribution, the species-level diversity of Megalonaias is quite depauperate (2 spp.), suggesting the genus may not be constrained by the same physical, ecological, or physiological barriers that limit dispersal in many other amblemines. However, this hypothesis is contingent on the assumption that the current taxonomy of Megalonaiasaccurately reflects its evolutionary history, which remains incompletely understood due to the marginalization of Mesoamerican populations in systematic research. Using one mitochondrial (COI) and one nuclear marker (ITS1) sequenced from 41 individuals distributed across both the Nearctic and Mesoamerican ecoregions, we set out to better understand the species boundaries and genetic diversity within Megalonaias. The reconstructed molecular phylogeny and the observed genetic diversity suggests that Megalonaias is a monotypic genus and that Megalonaias nickliniana, currently considered a federally endangered species, is not a valid species. These results are discussed in the context of their systematic and conservation implications, as well as how the unusual life history strategy of Megalonaias may be influencing its molecular diversity.

","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3441-7","usgsCitation":"Pfeiffer, J.M., Sharpe, A., Johnson, N.A., Emery, K.F., and Page, L.M., 2018, Molecular phylogeny of the Nearctic and Mesoamerican freshwater mussel genus Megalonaias: Hydrobiologia, v. 811, no. 1, p. 139-151, https://doi.org/10.1007/s10750-017-3441-7.","productDescription":"13 p.","startPage":"139","endPage":"151","ipdsId":"IP-087894","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":461037,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10750-017-3441-7","text":"Publisher Index Page"},{"id":351686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351685,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://www.ncbi.nlm.nih.gov/popset/?term=MF960169","linkHelpText":"Megalonaias nervosa internal transcribed spacer 1 and 5.8S ribosomal RNA gene, partial sequence"},{"id":351684,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://www.ncbi.nlm.nih.gov/popset/?term=%20MF960128","linkHelpText":"Megalonaias nervosa cytochrome oxidase subunit I (COI) gene, partial cds; mitochondrial"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.830078125,\n 13.581920900545844\n ],\n [\n -77.607421875,\n 13.581920900545844\n ],\n [\n -77.607421875,\n 49.439556958940855\n ],\n [\n -110.830078125,\n 49.439556958940855\n ],\n [\n -110.830078125,\n 13.581920900545844\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"811","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5afee72ce4b0da30c1bfc170","contributors":{"authors":[{"text":"Pfeiffer, John M. III","contributorId":148964,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"John","suffix":"III","email":"","middleInitial":"M.","affiliations":[{"id":17607,"text":"Cherokee Nation Technology Solutions, Contracted to U.S. Geological Survey, Southeast Ecological Science Center","active":true,"usgs":false}],"preferred":false,"id":728677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharpe, Ashley","contributorId":202520,"corporation":false,"usgs":false,"family":"Sharpe","given":"Ashley","email":"","affiliations":[{"id":36468,"text":"2Center for Tropical Paleoecology and Archaeology, Smithsonian Tropical Research Institute, Balboa-Ancon, Panama","active":true,"usgs":false}],"preferred":false,"id":728676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","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":728675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emery, Kitty F.","contributorId":202522,"corporation":false,"usgs":false,"family":"Emery","given":"Kitty","email":"","middleInitial":"F.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":728678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Page, Lawrence M.","contributorId":202523,"corporation":false,"usgs":false,"family":"Page","given":"Lawrence","email":"","middleInitial":"M.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":728679,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}