{"pageNumber":"643","pageRowStart":"16050","pageSize":"25","recordCount":184884,"records":[{"id":70226976,"text":"70226976 - 2020 - Seasonal habitat use indicates that depth may mediate the potential for invasive round goby impacts in inland lakes","interactions":[],"lastModifiedDate":"2022-04-08T15:37:05.65671","indexId":"70226976","displayToPublicDate":"2020-03-30T10:28:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal habitat use indicates that depth may mediate the potential for invasive round goby impacts in inland lakes","docAbstract":"<ol class=\"\"><li>The round goby (<i>Neogobius melanostomus</i>) is among the fastest-spreading introduced aquatic species in North America and is radiating inland from the Great Lakes into freshwater ecosystems across the landscape. Predicting and managing the impacts of round gobies requires information on the factors influencing their distribution in habitats along the invasion front, yet this information is not available for many recently invaded ecosystems. We evaluated the seasonal habitat use and biomass of round gobies in an inland temperate lake to define the spatiotemporal scope of biological interactions at the leading edge of the round goby invasion.</li><li>Using novel statistical approaches, we combined hierarchical models that control for imperfect species detection with flexible smooth terms to describe non-linear relationships between round goby abundance and environmental gradients. Subsequently, we generated accurate detection-corrected estimates of the standing stock biomass of round gobies.</li><li>Our results show seasonally differentiated habitat niches, where suitable round goby habitat in summer months is restricted to shallow depths (&lt;18.4&nbsp;m) with a mixture of vegetative and mussel cover. We found high round goby biomass of 122&nbsp;kg/ha in occupied habitats during the summer, with a total lake-wide biomass of 766,000&nbsp;kg. In winter, round&nbsp;gobies migrate to deep offshore habitats and disperse, dramatically altering their scope for biological interactions with resident aquatic species across summer and winter seasons.</li><li>The results of this study indicate that the scope of biological interactions in inland lakes may be seasonally variable, with potential for high round goby biomass in shallow lakes or at the periphery of deep lakes in the summer months. Such shallow-water habitats may therefore present higher risk of ecological impacts from round gobies in invaded lentic ecosystems. As round gobies expand inland, consideration of seasonal habitat use will be an important factor in predicting the impacts of this pervasive invader.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13502","usgsCitation":"Andres, K., Sethi, S., Duskey, E., Lepak, J., Rice, A.N., Estabrook, B.J., Fitzpatrick, K.B., George, E., Marcy-Quay, B., Paufve, M., Perkins, K., and Scofield, A., 2020, Seasonal habitat use indicates that depth may mediate the potential for invasive round goby impacts in inland lakes: Freshwater Biology, v. 65, no. 8, p. 1337-1347, https://doi.org/10.1111/fwb.13502.","productDescription":"11 p.","startPage":"1337","endPage":"1347","ipdsId":"IP-106414","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":398389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Cayuga Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.48544311523436,\n              42.46804498583043\n            ],\n            [\n              -76.72988891601562,\n              42.976520698105524\n            ],\n            [\n              -76.79443359375,\n              42.94938659428584\n            ],\n            [\n              -76.783447265625,\n              42.72280375732727\n            ],\n            [\n              -76.62551879882812,\n              42.50956476517422\n            ],\n            [\n              -76.5032958984375,\n              42.431565872579185\n            ],\n            [\n              -76.48544311523436,\n              42.46804498583043\n            ]\n          ]\n        ]\n      }\n    }\n  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University","active":true,"usgs":false}],"preferred":false,"id":829031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lepak, Jesse M.","contributorId":270320,"corporation":false,"usgs":false,"family":"Lepak","given":"Jesse M.","affiliations":[{"id":56145,"text":"New York Sea Grant","active":true,"usgs":false}],"preferred":false,"id":829029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rice, Aaron N.","contributorId":270321,"corporation":false,"usgs":false,"family":"Rice","given":"Aaron","email":"","middleInitial":"N.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":829030,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Estabrook, Bobbi J.","contributorId":270323,"corporation":false,"usgs":false,"family":"Estabrook","given":"Bobbi","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":829032,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fitzpatrick, Kimberly B.","contributorId":270324,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Kimberly","email":"","middleInitial":"B.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":829033,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"George, Ellen","contributorId":270325,"corporation":false,"usgs":false,"family":"George","given":"Ellen","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":829034,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marcy-Quay, Benjamin","contributorId":270326,"corporation":false,"usgs":false,"family":"Marcy-Quay","given":"Benjamin","affiliations":[{"id":12722,"text":"Cornell 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,{"id":70212307,"text":"70212307 - 2020 - Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges","interactions":[],"lastModifiedDate":"2020-08-14T15:22:31.638542","indexId":"70212307","displayToPublicDate":"2020-03-30T10:02:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges","docAbstract":"Seismic hazard modelling is a multi-disciplinary science that aims to forecast earthquake occurrence and its resultant ground shaking. Such models consist of a probabilistic framework that quantifies uncertainty across a complex system; typically, this includes at least two model components developed from Earth science: seismic-source and ground-motion models. Although there is no scientific prescription for the forecast length, the most common probabilistic seismic hazard analyses consider forecasting windows of 30 to 50 years, which are typically an engineering demand for building code purposes. These types of analyses are the topic of this review paper. Although the core methods and assumptions of seismic hazard modelling have largely remained unchanged for more than 50 years, we review the most recent initiatives which face the difficult task of meeting both the increasingly sophisticated demands of society and keeping pace with advances in scientific understanding. A need for more accurate and spatially precise hazard forecasting must be balanced with increased quantification of uncertainty and new challenges such as moving from time-independent hazard to forecasts that are time-dependent and specific to the time-period of interest. Meeting these challenges requires the development of science-driven models which integrate all information available, the adoption of proper mathematical frameworks to quantify the different types of uncertainties in the hazard model, and the development of a proper testing phase of the model to quantify its consistency and skill. We review the state-of-the-art of the national seismic hazard modeling, and how the most innovative approaches try to address future challenges.","language":"English","publisher":"AGU","doi":"10.1029/2019RG000653","usgsCitation":"Gerstenberger, M.C., Marzocchi, W., Allen, T.J., Pagani, M., Adams, J., Danciu, L., Field, E., Fujiwara, H., Luco, N., Ma, K., Meletti, C., and Petersen, M.D., 2020, Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges: Reviews of Geophysics, v. 58, no. 2, e2019RG000653, 49 p., https://doi.org/10.1029/2019RG000653.","productDescription":"e2019RG000653, 49 p.","ipdsId":"IP-116571","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":377526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gerstenberger, M. C.","contributorId":238494,"corporation":false,"usgs":false,"family":"Gerstenberger","given":"M.","email":"","middleInitial":"C.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":796306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marzocchi, W.","contributorId":238499,"corporation":false,"usgs":false,"family":"Marzocchi","given":"W.","affiliations":[{"id":47714,"text":"University of Naples","active":true,"usgs":false}],"preferred":false,"id":796307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, T. J.","contributorId":147276,"corporation":false,"usgs":false,"family":"Allen","given":"T.","email":"","middleInitial":"J.","affiliations":[{"id":16812,"text":"Indiana University of PA","active":true,"usgs":false}],"preferred":false,"id":796308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pagani, M.","contributorId":238503,"corporation":false,"usgs":false,"family":"Pagani","given":"M.","affiliations":[{"id":47715,"text":"GEM Foundation","active":true,"usgs":false}],"preferred":false,"id":796309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Janice","contributorId":173065,"corporation":false,"usgs":false,"family":"Adams","given":"Janice","email":"","affiliations":[],"preferred":false,"id":796310,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Danciu, L.","contributorId":238505,"corporation":false,"usgs":false,"family":"Danciu","given":"L.","email":"","affiliations":[{"id":47716,"text":"Swiss Seismological Service","active":true,"usgs":false}],"preferred":false,"id":796311,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":1165,"corporation":false,"usgs":true,"family":"Field","given":"Edward H.","email":"field@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":796312,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fujiwara, H.","contributorId":238508,"corporation":false,"usgs":false,"family":"Fujiwara","given":"H.","email":"","affiliations":[{"id":47718,"text":"National Research Institute for Earth Science and Disaster Resilience","active":true,"usgs":false}],"preferred":false,"id":796313,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796314,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ma, K-F","contributorId":238509,"corporation":false,"usgs":false,"family":"Ma","given":"K-F","affiliations":[{"id":47719,"text":"National Central University","active":true,"usgs":false}],"preferred":false,"id":796315,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meletti, C.","contributorId":238510,"corporation":false,"usgs":false,"family":"Meletti","given":"C.","email":"","affiliations":[{"id":39118,"text":"Istituto Nazionale di Geofisica e Vulcanologia","active":true,"usgs":false}],"preferred":false,"id":796316,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":796317,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70210069,"text":"70210069 - 2020 - Operational global actual evapotranspiration: Development, evaluation, and dissemination","interactions":[],"lastModifiedDate":"2020-05-13T14:25:13.766951","indexId":"70210069","displayToPublicDate":"2020-03-30T09:21:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Operational global actual evapotranspiration: Development, evaluation, and dissemination","docAbstract":"<p><span>Satellite-based actual evapotranspiration (ETa) is becoming increasingly reliable and available for various water management and agricultural applications from water budget studies to crop performance monitoring. The Operational Simplified Surface Energy Balance (SSEBop) model is currently used by the US Geological Survey (USGS) Famine Early Warning System Network (FEWS NET) to routinely produce and post multitemporal ETa and ETa anomalies online for drought monitoring and early warning purposes. Implementation of the global SSEBop using the Aqua satellite’s Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature and global gridded weather datasets is presented. Evaluation of the SSEBop ETa data using 12 eddy covariance (EC) flux tower sites over six continents indicated reasonable performance in capturing seasonality with a correlation coefficient up to 0.87. However, the modeled ETa seemed to show regional biases whose natures and magnitudes require a comprehensive investigation using complete water budgets and more quality-controlled EC station datasets. While the absolute magnitude of SSEBop ETa would require a one-time bias correction for use in water budget studies to address local or regional conditions, the ETa anomalies can be used without further modifications for drought monitoring. All ETa products are freely available for download from the USGS FEWS NET website.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/s20071915","collaboration":"","usgsCitation":"Senay, G., Kagone, S., and Velpuri, N.M., 2020, Operational global actual evapotranspiration: Development, evaluation, and dissemination, v. 7, no. 20, 1915, 18 p., https://doi.org/10.3390/s20071915.","productDescription":"1915, 18 p.","ipdsId":"IP-116111","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457241,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s20071915","text":"Publisher Index Page"},{"id":437046,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OUVUUI","text":"USGS data release","linkHelpText":"Operational Global Actual Evapotranspiration using the SSEBop model"},{"id":374752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"20","noUsgsAuthors":false,"publicationDate":"2020-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":216910,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":788972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":210980,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":788973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Velpuri, Naga M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":96183,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":788974,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209444,"text":"70209444 - 2020 - Movement-assisted localization from acoustic telemetry data","interactions":[],"lastModifiedDate":"2020-04-08T12:37:57.712286","indexId":"70209444","displayToPublicDate":"2020-03-30T07:36:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Movement-assisted localization from acoustic telemetry data","docAbstract":"Acoustic telemetry technologies are being increasingly deployed to study a variety of aquatic taxa including fishes, reptiles, and marine mammals. Large cooperative telemetry networks produce vast quantities of data useful in the study of movement, resource selection and species distribution. Efficient use of acoustic telemetry data requires estimation of acoustic source locations from detections at receivers (i.e., “localization”). Multiple processes provide information for localization estimation including detection/non-detection data at receivers, information on signal rate, and an underlying movement model describing how individuals move and utilize space. Frequently, however, localization methods only integrate a subset of these processes and do not utilize the full spatial encounter history information available from receiver arrays.","language":"English","publisher":"Springer","doi":"10.1186/s40462-020-00199-6","collaboration":"","usgsCitation":"Hostetter, N., and Royle, A., 2020, Movement-assisted localization from acoustic telemetry data: Movement Ecology, v. 8, https://doi.org/10.1186/s40462-020-00199-6.","productDescription":"15, 13 p.","startPage":"","ipdsId":"IP-113754","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457243,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-020-00199-6","text":"Publisher Index Page"},{"id":373834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2020-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Hostetter, Nathan J.","contributorId":223869,"corporation":false,"usgs":false,"family":"Hostetter","given":"Nathan J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":786503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":786504,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209829,"text":"70209829 - 2020 - High-throughput sequencing reveals distinct regional genetic structure among remaining populations of an endangered salt marsh plant in California","interactions":[],"lastModifiedDate":"2020-06-04T17:14:15.685216","indexId":"70209829","displayToPublicDate":"2020-03-30T07:31:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"High-throughput sequencing reveals distinct regional genetic structure among remaining populations of an endangered salt marsh plant in California","docAbstract":"Conservation of rare species requires careful consideration to both preserve locally adapted traits and maintain genetic diversity, as species’ ranges fluctuate in response to a changing climate and habitat loss. Salt marsh systems in California have been highly modified and many salt marsh obligate species have undergone range reductions and habitat loss with concomitant losses of genetic diversity and connectivity. Remaining salt marshes are threatened by rising sea levels, and so these habitats will likely require active restoration and re-establishment efforts. This study aims to provide a reference point for the current status of genetic diversity and range-wide population structure of a federally and state listed endangered plant, Salt Marsh Bird’s Beak (Chloropyron maritimum subsp. maritimum) that can inform future preservation and restoration efforts. We used historical data and current monitoring information to locate and sample all known occurrences throughout the species range in Southern California, and three additional occurrences from Baja California, Mexico. We used flow cytometry and single nucleotide polymorphic markers (SNPs), generated by double-digest restriction-site associated DNA sequencing (ddRAD), to assess relative ploidy, and estimate genetic diversity and population structure across the region. Overall, we found four to five distinct genetic clusters that coincide with geographic regions. Genetic diversity was greatest in the southern part of the range including Baja California and San Diego. These findings can bolster management and restoration efforts by identifying potentially isolated occurrences and areas that are rich sources of allelic diversity, and by providing insight into the amount of genetic differentiation across the species range.","language":"English","publisher":"Springer","doi":"10.1007/s10592-020-01269-3","usgsCitation":"Milano, E.R., Mulligan, M.R., Rebman, J.P., and Vandergast, A.G., 2020, High-throughput sequencing reveals distinct regional genetic structure among remaining populations of an endangered salt marsh plant in California: Conservation Genetics, v. 21, p. 547-559, https://doi.org/10.1007/s10592-020-01269-3.","productDescription":"13 p.","startPage":"547","endPage":"559","ipdsId":"IP-112923","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":374396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.201171875,\n              32.65787573695528\n            ],\n            [\n              -116.103515625,\n              32.65787573695528\n            ],\n            [\n              -116.103515625,\n              35.460669951495305\n            ],\n            [\n              -121.201171875,\n              35.460669951495305\n            ],\n            [\n              -121.201171875,\n              32.65787573695528\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2020-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Milano, Elizabeth R. 0000-0003-4143-9303","orcid":"https://orcid.org/0000-0003-4143-9303","contributorId":210607,"corporation":false,"usgs":true,"family":"Milano","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulligan, Margaret R","contributorId":224408,"corporation":false,"usgs":false,"family":"Mulligan","given":"Margaret","email":"","middleInitial":"R","affiliations":[{"id":40878,"text":"San Diego Natural History Museum, San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":788207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rebman, Jon P.","contributorId":145616,"corporation":false,"usgs":false,"family":"Rebman","given":"Jon","email":"","middleInitial":"P.","affiliations":[{"id":16175,"text":"San Diego Natural History Museum","active":true,"usgs":false}],"preferred":false,"id":788208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788209,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209855,"text":"70209855 - 2020 - Molecular indicators of methane metabolisms at cold seeps along the United States Atlantic margin","interactions":[],"lastModifiedDate":"2020-05-01T12:34:54.893408","indexId":"70209855","displayToPublicDate":"2020-03-30T07:24:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Molecular indicators of methane metabolisms at cold seeps along the United States Atlantic margin","docAbstract":"A lipid biomarker study was undertaken to determine the microbial composition and variability in authigenic carbonates and associated soft bottom habitats from the Norfolk and the Baltimore Canyon seep fields along the US mid-Atlantic margin. Results from this study capture a distinct molecular signal from methane oxidizing archaea, including archaeol (I), sn-2-hydroxyarchaeol, pentamethylicosane (PMI), and crocetane.  These consortia of methane-oxidizing Archaea have been identified as carrying out anaerobic oxidation of methane (AOM), thereby favoring the precipitation of methane derived authigneic carbonates.  The carbon isotope (δ13C) values of AOM-related lipids were strongly depleted in 13C, (i.e., archaeol: -91.64 ‰, sn-2-hydroxyarchaeol: -129.18 ‰, pentamethylicosane (PMI); -131.36 ‰, and crocetane: -70.94 ‰), confirming the dominance of methane as the dominant carbon source for the Archaea during AOM fractionation.  The presence of terminally branched fatty acids such as the antesio- and iso-C15:0 components, diagnostic of sulfate-reducing bacteria (SRB), and their depleted δ13C signature (-107.6 ‰), supports syntrophy of SRB with methane-oxidizing archaea.  While lipid biomarker profiles of authigenic carbonates biomarker are similar to those found in the seep sediment, suggesting a similar microbial assemblage within the seep-microbiome, a range in lipid composition, distribution, and isotopic signature between seep sites and matrix type suggests AOM is performed by multiple archaeal sources, instead of a single archaeal species.","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2020.119603","collaboration":"","usgsCitation":"Prouty, N.G., Campbell, P.L., Close, H., Biddle, J.F., and Beckmann, S., 2020, Molecular indicators of methane metabolisms at cold seeps along the United States Atlantic margin: Chemical Geology, v. 119603, 542, 13 p., https://doi.org/10.1016/j.chemgeo.2020.119603.","productDescription":"542, 13 p.","ipdsId":"IP-104562","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457245,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2020.119603","text":"Publisher Index Page"},{"id":374429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic margin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.79541015625,\n              39.757879992021756\n            ],\n            [\n              -74.2236328125,\n              38.272688535980976\n            ],\n            [\n              -74.70703125,\n              36.59788913307022\n            ],\n            [\n              -74.619140625,\n              34.92197103616377\n            ],\n            [\n              -76.83837890625,\n              34.08906131584994\n            ],\n            [\n              -77.45361328125,\n              33.284619968887675\n            ],\n            [\n              -76.13525390624999,\n              32.58384932565662\n            ],\n            [\n              -73.65234375,\n              32.37996146435729\n            ],\n            [\n              -70.927734375,\n              33.578014746143985\n            ],\n            [\n              -68.66455078125,\n              36.03133177633187\n            ],\n            [\n              -67.78564453125,\n              39.774769485295465\n            ],\n            [\n              -69.3896484375,\n              40.094882122321145\n            ],\n            [\n              -72.79541015625,\n              39.757879992021756\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119603","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":788287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Pamela L. 0000-0001-7056-4352","orcid":"https://orcid.org/0000-0001-7056-4352","contributorId":211947,"corporation":false,"usgs":true,"family":"Campbell","given":"Pamela","email":"","middleInitial":"L.","affiliations":[],"preferred":true,"id":788288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Close, Hilary G.","contributorId":199931,"corporation":false,"usgs":false,"family":"Close","given":"Hilary","middleInitial":"G.","affiliations":[],"preferred":false,"id":788289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biddle, Jennifer F.","contributorId":224433,"corporation":false,"usgs":false,"family":"Biddle","given":"Jennifer","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":788327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beckmann, Sabrina","contributorId":224434,"corporation":false,"usgs":false,"family":"Beckmann","given":"Sabrina","email":"","affiliations":[],"preferred":false,"id":788328,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212867,"text":"70212867 - 2020 - Activation of optimally and unfavourably oriented faults in a uniform local stress field during the 2011 Prague, Oklahoma, sequence","interactions":[],"lastModifiedDate":"2020-09-02T01:12:28.451539","indexId":"70212867","displayToPublicDate":"2020-03-29T20:08:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Activation of optimally and unfavourably oriented faults in a uniform local stress field during the 2011 Prague, Oklahoma, sequence","docAbstract":"<p><span>The orientations of faults activated relative to the local principal stress directions can provide insights into the role of pore pressure changes in induced earthquake sequences. Here, we examine the 2011&nbsp;</span><i>M </i><span>5.7 Prague earthquake sequence that was induced by nearby wastewater disposal. We estimate the local principal compressive stress direction near the rupture as inferred from shear wave splitting measurements at spatial resolutions as small as 750&nbsp;m. We find that the dominant azimuth observed is parallel to previous estimates of the regional compressive stress with some secondary azimuths oriented subparallel to the strike of the major fault structures. From an extended catalogue, we map ten distinct fault segments activated during the sequence that exhibit a wide array of orientations. We assess whether the five near-vertical fault planes are optimally oriented to fail in the determined stress field. We find that only two of the fault planes, including the&nbsp;</span><i>M </i><span>  5.7 main shock fault, are optimally oriented. Both the&nbsp;</span><i>M </i><span>4.8 foreshock and&nbsp;</span><i>M </i><span>  4.8 aftershock occur on fault planes that deviate 20–29° from the optimal orientation for slip. Our results confirm that induced event sequences can occur on faults not optimally oriented for failure in the local stress field. The results suggest elevated pore fluid pressures likely induced failure along several of the faults activated in the 2011 Prague sequence.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggaa153","usgsCitation":"Cochran, E.S., Skoumal, R., McPhillips, D., Ross, Z., and Keranen, K.M., 2020, Activation of optimally and unfavourably oriented faults in a uniform local stress field during the 2011 Prague, Oklahoma, sequence: Geophysical Journal International, v. 222, no. 1, p. 153-168, https://doi.org/10.1093/gji/ggaa153.","productDescription":"16 p.","startPage":"153","endPage":"168","ipdsId":"IP-112912","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":457250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggaa153","text":"Publisher Index Page"},{"id":378084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Prague","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.83349609375,\n              35.34425514918409\n            ],\n            [\n              -96.54510498046875,\n              35.34425514918409\n            ],\n            [\n              -96.54510498046875,\n              35.65394870599763\n            ],\n            [\n              -96.83349609375,\n              35.65394870599763\n            ],\n            [\n              -96.83349609375,\n              35.34425514918409\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"222","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skoumal, Robert","contributorId":217693,"corporation":false,"usgs":true,"family":"Skoumal","given":"Robert","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, Z.","contributorId":215300,"corporation":false,"usgs":false,"family":"Ross","given":"Z.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":797730,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keranen, Katie M.","contributorId":197630,"corporation":false,"usgs":false,"family":"Keranen","given":"Katie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":797731,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70220206,"text":"70220206 - 2020 - Hillslope groundwater discharges provide localized ecosystem buffers from regional PFAS contamination in a gaining coastal stream","interactions":[],"lastModifiedDate":"2021-04-27T13:19:56.792469","indexId":"70220206","displayToPublicDate":"2020-03-29T08:04:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Hillslope groundwater discharges provide localized ecosystem buffers from regional PFAS contamination in a gaining coastal stream","docAbstract":"Emerging groundwater contaminants such as per- and polyfluoroalkyl substances (PFAS) may impact surface-water quality and groundwater-dependent ecosystems of gaining streams. Although complex near-surface hydrogeology of stream corridors challenges sampling efforts, recent advances in heat tracing of discharge zones enable efficient and informed data collection. For this study we used a combination of streambed temperature push-probe and thermal infrared methods to guide a discharge-zone-oriented sample collection along approximately 6 km of a coastal trout stream on Cape Cod, MA where groundwater discharge constitutes approximately 95% of total streamflow. Eight surface-water locations and discharging groundwater from 24 streambed and bank seepages were analyzed for dissolved oxygen, specific conductance, stable water isotopes, and a range of PFAS compounds which are contaminants of emerging concern in aquatic environments. The results indicate a complex system of groundwater discharge source flowpaths, where the sum of concentrations of six PFAS compounds (Environmental Protection Agency third Unregulated Contaminant Monitoring Rule UCMR 3) showed a median concentration of 52  331 (SD) ng/L with two higher outliers and three discharges with non-detection of PFAS. Higher UCMR 3 PFAS concentration was related -0.66 (Spearman Rank, p<0.001) to discharging groundwater that showed an evaporative signature (deuterium excess), indicating flow through at least one upgradient kettle lake. Therefore, more regional groundwater flowpaths originating from outside the local river corridor tended to show higher PFAS concentrations as evaluated at their respective discharge zones. Conversely, UCMR 3 PFAS concentrations were typically low at discharges that did not indicate evaporation and were adjacent to steep hillslopes and, therefore, were classified as locally recharged groundwater. Previous research at this stream found that the native brook trout favor discharge points of groundwater recharged on local hillslopes for spawning, likely in response to generally higher levels of dissolved oxygen compared to discharge zones located further away from hillslopes. Our study shows that the trout may thereby be avoiding emerging contaminants such as PFAS in groundwater recharged farther from the stream.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13752","usgsCitation":"Briggs, M.A., Tokranov, A.K., Hull, R.B., LeBlanc, D.R., Haynes, A., and Lane, J., 2020, Hillslope groundwater discharges provide localized ecosystem buffers from regional PFAS contamination in a gaining coastal stream: Hydrological Processes, v. 34, no. 10, p. 2281-2291, https://doi.org/10.1002/hyp.13752.","productDescription":"11 p.","startPage":"2281","endPage":"2291","ipdsId":"IP-117276","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":385320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod,  Quashnet River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  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Water","active":true,"usgs":true}],"preferred":true,"id":814755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tokranov, Andrea K. 0000-0003-4811-8641","orcid":"https://orcid.org/0000-0003-4811-8641","contributorId":255483,"corporation":false,"usgs":true,"family":"Tokranov","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hull, Robert B. 0000-0002-0216-5250","orcid":"https://orcid.org/0000-0002-0216-5250","contributorId":215569,"corporation":false,"usgs":true,"family":"Hull","given":"Robert","email":"","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":219907,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":814758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haynes, A.","contributorId":257634,"corporation":false,"usgs":false,"family":"Haynes","given":"A.","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":814759,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":814760,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211926,"text":"70211926 - 2020 - Channel narrowing by inset floodplain formation of the lower Green River in the Canyonlands region, Utah","interactions":[],"lastModifiedDate":"2020-11-13T15:49:48.618701","indexId":"70211926","displayToPublicDate":"2020-03-27T14:38:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Channel narrowing by inset floodplain formation of the lower Green River in the Canyonlands region, Utah","docAbstract":"<p><span>The lower Green River episodically narrowed between the mid-1930s and present day through deposition of new floodplains within a wider channel that had been established and/or maintained during the early twentieth century pluvial period. Comparison of air photos spanning a 74-yr period (1940−2014) and covering a 61 km study area shows that the channel narrowed by 12% from 138 ± 3.4 m to 122 ± 2.1 m. Stratigraphic and sedimentologic analysis and tree ring dating of a floodplain trench corroborates the air photo analysis and suggests that the initial phase of floodplain formation began by the mid-1930s, approximately the same time that the flow regime decreased in total annual and peak annual flow. Tamarisk, a nonnative shrub, began to establish in the 1930s as well. Narrowing from the 1940s to the mid-1980s was insignificant, because floodplain formation was approximately matched by bank erosion. Air photo analysis demonstrates that the most significant episode of narrowing was underway by the late 1980s, and analysis of the trench shows that floodplain formation had begun in the mid-1980s during a multi-year period of low peak annual flow. Air photo analysis shows that mean channel width decreased by ∼7% between 1993 and 2009. A new phase of narrowing may have begun in 2003, based on evidence in the trench. Comparison of field surveys made in 1998 and 2015 in an 8.5 km reach near Fort Bottom suggests that narrowing continues and demonstrates that new floodplain formation has been a very small proportion of the total annual fine sediment flux of the Green River. Vertical accretion of new floodplains near Fort Bottom averaged 2.4 m between 1998 and 2015 but only accounted for ∼1.5% of the estimated fine sediment flux during that period. Flood control by Flaming Gorge Dam after 1962 significantly influenced flow regime, reducing the magnitude of the annual snowmelt flood and increasing the magnitude of base flows. Though narrowing was initiated by changes in flow regime, native and nonnative riparian vegetation promoted floodplain formation and channel narrowing especially through establishment on channel bars and incipient floodplains during years of small annual floods.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35233.1","usgsCitation":"Walker, A.E., Moore, J.N., Grams, P.E., Dean, D.J., and Schmidt, J.C., 2020, Channel narrowing by inset floodplain formation of the lower Green River in the Canyonlands region, Utah: GSA Bulletin, v. 132, no. 11-12, p. 2333-2352, https://doi.org/10.1130/B35233.1.","productDescription":"20 p.","startPage":"2333","endPage":"2352","ipdsId":"IP-104944","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437047,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RNMPLN","text":"USGS data release","linkHelpText":"Channel narrowing data for the lower Green River in the Canyonlands region, Utah, USA"},{"id":380513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Canyonlands National Park, Green River, Tower Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.1218032836914,\n              38.306102934215616\n            ],\n            [\n              -109.90276336669922,\n              38.306102934215616\n            ],\n            [\n              -109.90276336669922,\n              38.518623540576485\n            ],\n            [\n              -110.1218032836914,\n              38.518623540576485\n            ],\n            [\n              -110.1218032836914,\n              38.306102934215616\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2020-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Alexander E. awalker@usgs.gov","contributorId":5267,"corporation":false,"usgs":true,"family":"Walker","given":"Alexander","email":"awalker@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":795836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Johnnie N.","contributorId":102532,"corporation":false,"usgs":true,"family":"Moore","given":"Johnnie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":795837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210380,"text":"70210380 - 2020 - Climatically driven displacement on the Eglington fault, Las Vegas, Nevada","interactions":[],"lastModifiedDate":"2020-06-02T13:53:01.204552","indexId":"70210380","displayToPublicDate":"2020-03-27T08:38:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Climatically driven displacement on the Eglington fault, Las Vegas, Nevada","docAbstract":"The Eglington fault is one of several intrabasinal faults in the Las Vegas Valley, Nevada and is the only one recognized as a source for significant earthquakes. Its broad warp displaces late Pleistocene paleo-spring deposits of the Las Vegas Formation, which record hydrologic fluctuations that occurred in response to millennial and submillennial-scale climate oscillations throughout the late Quaternary. The sediments allow us to constrain the timing of displacement on the Eglington fault and identify hydrologic changes that are temporally coincident with that event. The fault warps deposits that represent widespread marshes that filled the valley between 31.7 and 27.6 ka. These marshes desiccated abruptly in response to warming and groundwater lowering during Dansgaard-Oeschger (D-O) events 4 and 3, resulting in the formation of a pervasive, hard carbonate cap by 27.0 ka. Vertical offset by as much as 4.2 meters occurred after the cap hardened, and most likely after younger marshes desiccated irreversibly due to a sudden depression of the water table during D-O 2, beginning at 23.3 ka. The timing of displacement is further constrained to before 19.5 ka as evidenced by undeformed spring deposits that are inset into the incised topography of the warp. Coulomb stress calculations validate the hypothesis that the significant groundwater decline during D-O 2 triggered fault displacement through unloading of vertical stress of the water column. The synchroneity of this abrupt hydrologic change and warping on the Eglington fault suggests that climatically modulated tectonics operated in the Las Vegas Valley during the late Quaternary.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G47162.1","usgsCitation":"Springer, K.B., and Pigati, J.S., 2020, Climatically driven displacement on the Eglington fault, Las Vegas, Nevada: Geology, v. 48, no. 6, p. 574-578, https://doi.org/10.1130/G47162.1.","productDescription":"5 p.","startPage":"574","endPage":"578","ipdsId":"IP-115161","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":437048,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BTB41W","text":"USGS data release","linkHelpText":"Data release for Climatically driven displacement on the Eglington fault, Las Vegas, Nevada, USA"},{"id":375244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Las Vegas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.60913085937499,\n              35.9157474194997\n            ],\n            [\n              -114.82910156249999,\n              35.9157474194997\n            ],\n            [\n              -114.82910156249999,\n              36.41244153535644\n            ],\n            [\n              -115.60913085937499,\n              36.41244153535644\n            ],\n            [\n              -115.60913085937499,\n              35.9157474194997\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":790104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":790105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211838,"text":"70211838 - 2020 - Framework for a long-term strategic plan for the Capital Area Groundwater Conservation Commission","interactions":[],"lastModifiedDate":"2020-08-11T13:02:52.65537","indexId":"70211838","displayToPublicDate":"2020-03-27T08:34:17","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Framework for a Long-term Strategic Plan for the Capital Area Groundwater Conservation Commission","title":"Framework for a long-term strategic plan for the Capital Area Groundwater Conservation Commission","docAbstract":"The Capital Area Groundwater Conservation Commission oversees the use of groundwater in six parishes in Louisiana. In carrying out its statutory responsibilities and authorities, the Commission recognizes the complexity of its decisions: the long-term objectives it is seeking are multifaceted; the actions it can choose from are numerous and interdependent; and the understanding of the hydrogeological, economic, and social systems affected by its actions is limited. To navigate this complexity, the Commission is developing a long-term strategic plan to guide its activities and to serve as a primary mode of communication to stakeholders and the public. The long-term strategic plan is intended to consider actions and outcomes over at least the next 50 years within the 6 parishes in the Commission’s jurisdiction and related to all the confined aquifers in the 3000 feet below the district. The primary purposes of the plan are to promote long-term sustainability of groundwater extraction, continuity of operations of the Commission, long-term planning by water users, and clear communication with the public. The plan will describe specific management actions to be taken over time by the Commission, and the conditions under which those actions are to be taken. It will include intermediate milestones the Commission intends to achieve on the way toward achieving its long-term objectives. The actions under consideration include regulation and monitoring of groundwater withdrawal, mitigation of the environmental effects of withdrawal, support of relevant scientific studies, as well as work with partner agencies to implement measures to conserve, develop, and supplement groundwater resources. The plan will have greater detail about short-term actions than mid-term and long-term actions, and the Commission anticipates updating the plan periodically to adapt to changing circumstances and knowledge.\n\nTo develop its long-term strategic plan, the Commission is working with The Water Institute of the Gulf and the U.S. Geological Survey using a facilitated process based on the principles of structured decision making (Gregory et al., 2012). This document outlines the framework for the strategic plan by describing the legal, economic, and scientific context for the plan, the fundamental objectives the Commission seeks to achieve in the long term, and the strategic alternatives it is considering.","language":"English","publisher":"The Water Institute of the Gulf","collaboration":"The Water Institute of the Gulf; Capital Area Groundwater Conservation Commission","usgsCitation":"Runge, M.C., Bean, E.A., McInnis, A., Clark, R., and Dausman, A., 2020, Framework for a long-term strategic plan for the Capital Area Groundwater Conservation Commission, iii, 22 p.","productDescription":"iii, 22 p.","ipdsId":"IP-114259","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":377268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377195,"type":{"id":15,"text":"Index Page"},"url":"https://thewaterinstitute.org/assets/docs/reports/Framework-for-a-Long-term-Strategic-Plan-for-the-Capital-Area-Groundwater-Conservation-Commission.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Ellen A","contributorId":228883,"corporation":false,"usgs":false,"family":"Bean","given":"Ellen","email":"","middleInitial":"A","affiliations":[{"id":41524,"text":"Bean Consulting","active":true,"usgs":false}],"preferred":false,"id":795319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McInnis, Adrian","contributorId":221278,"corporation":false,"usgs":false,"family":"McInnis","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":795320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Ryan","contributorId":193538,"corporation":false,"usgs":false,"family":"Clark","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":795321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dausman, Alyssa","contributorId":223766,"corporation":false,"usgs":false,"family":"Dausman","given":"Alyssa","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":795322,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229338,"text":"70229338 - 2020 - Epigenetic response of Louisiana Waterthrush Parkesia motacilla to shale gas development","interactions":[],"lastModifiedDate":"2022-03-04T13:09:34.171291","indexId":"70229338","displayToPublicDate":"2020-03-27T07:05:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Epigenetic response of Louisiana Waterthrush Parkesia motacilla to shale gas development","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Epigenetic mechanisms such as DNA methylation may vary in response to environmental stressors and introduce adaptive or maladaptive gene expression within and among wild bird populations. We examined the association between DNA methylation and demographic characteristics of the Louisiana Waterthrush<span>&nbsp;</span><i>Parkesia motacilla</i><span>&nbsp;</span>in territories with and without disturbance from shale gas development in a Central Appalachian watershed during 2013–2015. We also evaluated the degree to which an individual’s methylated state was subject to change across years in individuals that returned over the course of more than one breeding season (i.e. recaptures). Overall, population methylation differed between adult male and female Waterthrush where adult males generally had fewer methylated restriction sites. Methylation also differed between adult females and nestlings. Age influenced methylation in both adult males and females with a decrease in methylation with age, although adult female recaptures had increased methylation with age. Adult males were variably methylated between shale gas undisturbed and disturbed areas at a population and restriction site (i.e. loci) level, where restriction sites were predominately less methylated in shale gas-disturbed areas. Barium (Ba) and strontium (Sr) data from 2013 feather samples showed adult males had fewer methylated sites at higher concentrations of Ba and Sr, whereas nestlings displayed no correlation of methylation to Ba and Sr concentrations. Adult females displayed increased methylation with increased Sr, a trend also seen year to year in adult female recaptures. Overall, results of our study suggest sex-specific influences of shale gas development on gene expression that may affect long-term population survival and fitness.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12833","usgsCitation":"Frantz, M., Wood, P.B., Latta, S., and Welsh, A., 2020, Epigenetic response of Louisiana Waterthrush Parkesia motacilla to shale gas development: Ibis, v. 162, no. 4, p. 1211-1224, https://doi.org/10.1111/ibi.12833.","productDescription":"14 p.","startPage":"1211","endPage":"1224","ipdsId":"IP-111204","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Lewis Wetzel Wildlife Management Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.73989868164062,\n              39.4255858195144\n            ],\n            [\n              -80.53390502929688,\n              39.4255858195144\n            ],\n            [\n              -80.53390502929688,\n              39.56970506644249\n            ],\n            [\n              -80.73989868164062,\n              39.56970506644249\n            ],\n            [\n              -80.73989868164062,\n              39.4255858195144\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"162","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Frantz, Mack W.","contributorId":287821,"corporation":false,"usgs":false,"family":"Frantz","given":"Mack W.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":837100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":837101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Latta, Steve","contributorId":287822,"corporation":false,"usgs":false,"family":"Latta","given":"Steve","email":"","affiliations":[{"id":61633,"text":"National Aviary","active":true,"usgs":false}],"preferred":false,"id":837102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welsh, Amy","contributorId":287823,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":837103,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209362,"text":"70209362 - 2020 - Landscape drivers of dynamic change in water quality of US rivers","interactions":[],"lastModifiedDate":"2020-05-05T17:20:02.698439","indexId":"70209362","displayToPublicDate":"2020-03-27T06:43:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Landscape drivers of dynamic change in water quality of US rivers","docAbstract":"Water security is a top concern for social well-being and dramatic changes in the availability of freshwater have occurred as a result of human uses and landscape management.  Elevated nutrient loading and perturbations to major ion composition have resulted from human activities and have degraded freshwater resources. This study addresses the emerging nature of stream water quality in the 21st century through analysis of concentrations and trends in a wide variety of constituents in streams and rivers of the U.S.  Concentrations of fifteen separate water quality parameters including nutrients, major ions, sediment, and specific conductance were analyzed over the period 1982-2012 and a targeted trend analysis was performed from 1992-2012.    Although environmental policy is geared toward addressing the long-standing problem of nutrient overenrichment, these efforts have had uneven success, with decreasing nutrient concentrations at urbanized sites and little to no change at agricultural sites.  However, freshwaters are being salinized rapidly in all human-dominated land use types.  Increasing salinity negatively affects biodiversity, mobilizes sediment-bound contaminants, and increases lead contamination of drinking water but the effects are poorly quantified.  Therefore, while efforts to control nutrients are ongoing, rapid salinity increases are ushering in a new set of poorly-defined issues.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b05344","collaboration":"","usgsCitation":"Stets, E.G., Sprague, L.A., Oelsner, G.P., Johnson, H.M., Murphy, J.C., Ryberg, K.R., Vecchia, A.V., Zuellig, R.E., Falcone, J.A., and Riskin, M.L., 2020, Landscape drivers of dynamic change in water quality of US rivers: Environmental Science & Technology, v. 54, no. 7, p. 4336-4343, https://doi.org/10.1021/acs.est.9b05344.","productDescription":"8 p.","startPage":"4336","endPage":"4343","ipdsId":"IP-114559","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":457259,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.9b05344","text":"Publisher Index Page"},{"id":373743,"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              -130.67138671875,\n              54.686534234529695\n            ],\n            [\n              -129.9462890625,\n              55.36662484928637\n            ],\n            [\n              -130.1220703125,\n              56.145549500679074\n            ],\n            [\n              -131.9677734375,\n              56.9449741808516\n            ],\n            [\n              -135.3076171875,\n              59.833775202184206\n            ],\n            [\n              -136.38427734375,\n              59.65664225341022\n            ],\n            [\n              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,{"id":70211209,"text":"70211209 - 2020 - Intraspecific and biogeographical variation in foliar fungal communities and pathogen damage of native and invasive Phragmites australis","interactions":[],"lastModifiedDate":"2020-07-17T18:36:21.201033","indexId":"70211209","displayToPublicDate":"2020-03-26T13:31:47","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Intraspecific and biogeographical variation in foliar fungal communities and pathogen damage of native and invasive <i>Phragmites australis</i>","title":"Intraspecific and biogeographical variation in foliar fungal communities and pathogen damage of native and invasive Phragmites australis","docAbstract":"<h3 id=\"geb13097-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Recent research has highlighted that the relationship between species interactions and latitude can differ between native and invasive plant taxa, generating biogeographical heterogeneity in community resistance to plant invasions. In the first study with foliar pathogens, we tested whether co‐occurring native and invasive lineages of common reed (<i>Phragmites australis<span>&nbsp;</span></i>) exhibit non‐parallel latitudinal gradients in foliar fungal communities, pathogen susceptibility and damage, and whether these biogeographical patterns can influence the success of invasion.</p><h3 id=\"geb13097-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>North America.</p><h3 id=\"geb13097-sec-0003-title\" class=\"article-section__sub-title section1\">Time period</h3><p>2015–2017.</p><h3 id=\"geb13097-sec-0004-title\" class=\"article-section__sub-title section1\">Major taxa studied</h3><p>Perennial grass<span>&nbsp;</span><i>P.&nbsp;australis<span>&nbsp;</span></i>.</p><h3 id=\"geb13097-sec-0005-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We surveyed 35<span>&nbsp;</span><i>P.&nbsp;australis<span>&nbsp;</span></i>field populations, spanning 17° latitude and comprising four phylogeographical lineages, including one endemic to North America and one invasive from Europe. For each population, we quantified the percentage of leaf pathogen damage and cultured fungi from diseased leaves, which we identified using molecular tools. To assess whether latitudinal gradients in pathogen damage had a genetic basis, we inoculated plants from 73 populations with four putative pathogens in a complementary common garden experiment and measured<span>&nbsp;</span><i>P.&nbsp;australis<span>&nbsp;</span></i>susceptibility (i.e., diseased leaf area).</p><h3 id=\"geb13097-sec-0006-title\" class=\"article-section__sub-title section1\">Results</h3><p>We isolated 84 foliar fungal taxa.<span>&nbsp;</span><i>Phragmites australis<span>&nbsp;</span></i>lineage influenced fungal community composition but not diversity. Despite the invasive European<span>&nbsp;</span><i>P.&nbsp;australis<span>&nbsp;</span></i>lineage being the least susceptible to three of the four pathogens tested in the common garden experiment, pathogen damage in the field was similar between native and invasive lineages, providing no evidence that release from foliar pathogens contributes to the success of invasion. Genetically based latitudinal gradients in pathogen susceptibility observed in the common garden were isolate specific and obscured by local environmental conditions in the field, where pathogen damage was threefold higher for northern compared with southern populations, regardless of lineage.</p><h3 id=\"geb13097-sec-0007-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>Our results highlight that host plant lineage and genetically based biogeographical gradients strongly influence foliar fungal communities and pathogen susceptibility, but do not translate to patterns of pathogen damage observed in the field.</p>","language":"English","publisher":"Wiley","doi":"10.1111/geb.13097","usgsCitation":"Allen, W.J., Devries, A., Bologna, N.J., Bickford, W.A., Kowalski, K., Meyerson, L., and Cronin, J.T., 2020, Intraspecific and biogeographical variation in foliar fungal communities and pathogen damage of native and invasive Phragmites australis: Global Ecology and Biogeography, v. 29, no. 7, p. 1199-1211, https://doi.org/10.1111/geb.13097.","productDescription":"13 p.","startPage":"1199","endPage":"1211","ipdsId":"IP-113518","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":457261,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/geb.13097","text":"External Repository"},{"id":376479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Warwick J.","contributorId":229451,"corporation":false,"usgs":false,"family":"Allen","given":"Warwick","email":"","middleInitial":"J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":793209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devries, Aaron","contributorId":229452,"corporation":false,"usgs":false,"family":"Devries","given":"Aaron","affiliations":[{"id":37768,"text":"USGS Contractor","active":true,"usgs":false}],"preferred":false,"id":793210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bologna, Nicholas J.","contributorId":229453,"corporation":false,"usgs":false,"family":"Bologna","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":793211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":793212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":793213,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meyerson, Laura A.","contributorId":229454,"corporation":false,"usgs":false,"family":"Meyerson","given":"Laura A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":793214,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cronin, James T.","contributorId":229455,"corporation":false,"usgs":false,"family":"Cronin","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":793215,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209092,"text":"fs20203017 - 2020 - Pyrrhotite distribution in the conterminous United States, 2020","interactions":[],"lastModifiedDate":"2022-04-20T18:44:59.3731","indexId":"fs20203017","displayToPublicDate":"2020-03-26T11:45:00","publicationYear":"2020","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":"2020-3017","displayTitle":"Pyrrhotite Distribution in the Conterminous United States, 2020","title":"Pyrrhotite distribution in the conterminous United States, 2020","docAbstract":"<p><span>In parts of Connecticut and Massachusetts, foundations of&nbsp;</span><span>some homes are cracking and crumbling. Failing foundations can reduce the market value of a home and lifting a house to replace and&nbsp;</span>repour a foundation is an expensive undertaking. In response, some homeowners are defaulting on their mortgages and abandoning their homes. The culprit is pyrrhotite, which occurs in construction aggregate (crushed stone) that was used as a filler in concrete. When pyrrhotite is naturally exposed to water and oxygen, it breaks down to produce sulfuric acid and secondary minerals, including gypsum, which have larger volumes than the pyrrhotite they replace. The expanded volume of the secondary minerals cracks and degrades concrete.</p><div>Pyrrhotite occurs in rocks in many areas of the United States. To help assess the national risk of pyrrhotite in aggregate, the fiscal year 2019 appropriations bill for the U.S. Geological Survey’s&nbsp;(USGS) Mineral Resources Program allocated funds to develop a map showing the distribution of pyrrhotite across the United States. The purpose of this fact sheet is to (1) present a nationwide map that shows where pyrrhotite may occur in rocks in the United States, (2) describe and discuss the factors that control the presence and abundance of pyrrhotite in rocks, (3) provide information on geographic information system datasets that deliver more detailed information on these distributions, and (4) describe U.S. and international standards on aggregate that are designed to prevent failing concrete.</div><div><br data-mce-bogus=\"1\"></div><div><div>While this map and fact sheet provide general information about the possible distribution of pyrrhotite in the United States, they are no substitute for site-specific characterization and quality control programs designed to ensure that aggregate used in concrete is of appropriate quality for its intended purpose.</div></div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20203017","usgsCitation":"Mauk, J.L., Crafford, T.C., Horton, J.D., San Juan, C.A., and Robinson, G.R., Jr., 2020, Pyrrhotite distribution in the conterminous United States, 2020:  U.S. Geological Survey Fact Sheet 2020-3017, 4 p., https://doi.org/10.3133/fs20203017.","productDescription":"Report: 3 p.; Data Release","onlineOnly":"N","ipdsId":"IP-115853","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":373411,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3017/coverthb.jpg"},{"id":399202,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109801.htm"},{"id":373413,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QSWBU6","text":"USGS data release","description":"USGS data release","linkHelpText":"Data to accompany U.S. Geological Survey Fact Sheet 2020-3017: Pyrrhotite distribution in the conterminous United 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<a href=\"http://www.usgs.gov/centers/gggsc/\" data-mce-href=\"http://www.usgs.gov/centers/gggsc/\"> Geology, Geophysics, and Geochemistry Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-973<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Pyrrhotite Formation in Rocks</li><li>Mapping the Possible Distribution of Pyrrhotite in the Conterminous United States</li><li>Limitations of the Geologic Map Databases</li><li>Standards for Construction Aggregate</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-03-26","noUsgsAuthors":false,"publicationDate":"2020-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crafford, Thomas C. 0000-0003-1524-0835","orcid":"https://orcid.org/0000-0003-1524-0835","contributorId":97953,"corporation":false,"usgs":true,"family":"Crafford","given":"Thomas","email":"","middleInitial":"C.","affiliations":[{"id":260,"text":"Energy and Minerals","active":false,"usgs":true}],"preferred":false,"id":785238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, John D. 0000-0003-2969-9073 jhorton@usgs.gov","orcid":"https://orcid.org/0000-0003-2969-9073","contributorId":1227,"corporation":false,"usgs":true,"family":"Horton","given":"John","email":"jhorton@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"San Juan, Carma A. 0000-0002-9151-1919 csanjuan@usgs.gov","orcid":"https://orcid.org/0000-0002-9151-1919","contributorId":1146,"corporation":false,"usgs":true,"family":"San Juan","given":"Carma","email":"csanjuan@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Jr. 0000-0002-9676-9564","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":8479,"corporation":false,"usgs":true,"family":"Robinson","suffix":"Jr.","email":"","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":784903,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228385,"text":"70228385 - 2020 - Odds ratios and hurdle models: a long-term analysis of parasite infection patterns in endangered young-of-the-year suckers from Upper Klamath Lake, Oregon, USA","interactions":[],"lastModifiedDate":"2022-02-10T17:38:54.931784","indexId":"70228385","displayToPublicDate":"2020-03-26T11:23:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2024,"text":"International Journal for Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Odds ratios and hurdle models: a long-term analysis of parasite infection patterns in endangered young-of-the-year suckers from Upper Klamath Lake, Oregon, USA","docAbstract":"<p><span>We used odds ratios and a hurdle model to analyze parasite co-infections over 25&nbsp;years on &gt;20,000 young-of-the year of endangered Shortnose and Lost River Suckers. Host ecologies differed as did parasite infections. Shortnose Suckers were more likely to be caught inshore and 3–5 times more likely to have&nbsp;</span><i>Bolbophorus</i><span>&nbsp;spp. and&nbsp;</span><i>Contracaecum</i><span>&nbsp;sp. infections, and Lost River Suckers were more likely to be caught offshore and approximately three times more likely to have&nbsp;</span><i>Lernaea cyprinacea</i><span>&nbsp;infections. An observed peak shift seems likely to be due to a lower host size limit for&nbsp;</span><i>Bolbophorus</i><span>&nbsp;spp. (13.6&nbsp;mm) compared with&nbsp;</span><i>L. cyprinacea</i><span>&nbsp;(23.4&nbsp;mm). The large data set allowed us to generate strong hypotheses: (i) that a major marsh restoration project had unintended consequences that resulted in an increase in infections; (ii) that co-infection with&nbsp;</span><i>Bolbophorus</i><span>&nbsp;spp. increased the odds of infection by&nbsp;</span><i>L. cyprinacea</i><span>&nbsp;and&nbsp;</span><i>Contracaecum</i><span>&nbsp;sp.; (iii) that significant declines in the odds of infection over approximately 25&nbsp;days were due to parasite-induced host mortality; (iv) that the fish’s small size relative to&nbsp;</span><i>L. cyprinacea</i><span>&nbsp;and&nbsp;</span><i>Contracaecum</i><span>&nbsp;sp. might be directly lethal; (v) that the absence of&nbsp;</span><i>L. cyprinacea</i><span>&nbsp;infections in the early 1990s was associated with good year-class production of the suckers; and (vi) that parasites might increase the odds of vagrancy from the nursery ground.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijpara.2020.02.001","usgsCitation":"Markle, D.F., Janik, A., Peterson, J., Choudhury, A., Simon, D., Tkach, V., Terwilliger, M.R., Sanders, J.L., and Kent, M.L., 2020, Odds ratios and hurdle models: a long-term analysis of parasite infection patterns in endangered young-of-the-year suckers from Upper Klamath Lake, Oregon, USA: International Journal for Parasitology, v. 50, no. 4, p. 315-330, https://doi.org/10.1016/j.ijpara.2020.02.001.","productDescription":"16 p.","startPage":"315","endPage":"330","ipdsId":"IP-115203","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":457263,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijpara.2020.02.001","text":"Publisher Index Page"},{"id":395785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.7889404296875,\n              42.22648356137063\n            ],\n            [\n              -121.79443359375,\n              42.409262623071186\n            ],\n            [\n              -121.93588256835938,\n              42.603641609996586\n            ],\n            [\n              -122.12265014648438,\n              42.48222557002593\n            ],\n            [\n              -122.02377319335938,\n              42.379850764344134\n            ],\n            [\n              -121.92626953124999,\n              42.2752765520868\n            ],\n            [\n              -121.81503295898436,\n              42.20207291264876\n            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james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choudhury, Anindo","contributorId":275601,"corporation":false,"usgs":false,"family":"Choudhury","given":"Anindo","affiliations":[{"id":56865,"text":"nsc","active":true,"usgs":false}],"preferred":false,"id":834167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simon, David C.","contributorId":275602,"corporation":false,"usgs":false,"family":"Simon","given":"David C.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":834168,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tkach, Vasyl V.","contributorId":275603,"corporation":false,"usgs":false,"family":"Tkach","given":"Vasyl V.","affiliations":[{"id":40486,"text":"UND","active":true,"usgs":false}],"preferred":false,"id":834169,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Terwilliger, Mark R.","contributorId":275604,"corporation":false,"usgs":false,"family":"Terwilliger","given":"Mark","email":"","middleInitial":"R.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":834170,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sanders, Justin L.","contributorId":275605,"corporation":false,"usgs":false,"family":"Sanders","given":"Justin","email":"","middleInitial":"L.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":834171,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kent, Michael L.","contributorId":275606,"corporation":false,"usgs":false,"family":"Kent","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":834172,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208684,"text":"sir20205008 - 2020 - Effects of huisache removal on rangeland evapotranspiration in Victoria County, south-central Texas, 2015–18","interactions":[],"lastModifiedDate":"2022-04-25T21:19:00.19189","indexId":"sir20205008","displayToPublicDate":"2020-03-26T09:18:33","publicationYear":"2020","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":"2020-5008","displayTitle":"Effects of Huisache Removal on Rangeland Evapotranspiration in Victoria County, South-Central Texas, 2015–18","title":"Effects of huisache removal on rangeland evapotranspiration in Victoria County, south-central Texas, 2015–18","docAbstract":"<p>The U.S. Geological Survey and Desert Research Institute, in cooperation with the Natural Resources Conservation Service, Texas State Soil and Water Conservation Board, Victoria County Groundwater Conservation District, Victoria Soil and Water Conservation District, and the San Antonio River Authority, evaluated the hydrologic effects of <i>Vachellia farnesiana</i> var. <i>farnesiana</i> (huisache) removal on rangeland evapotranspiration in Victoria County, Texas. Measurements of evapotranspiration, rainfall, and related properties were made at two sites during March 2015 through August 2018. One site was predominantly grassland. The other site was dominated by dense huisache vegetation that was removed about halfway through the study period. The resulting evapotranspiration data were examined for differences between the locations and differences between the pre-removal (2015–16) and post-removal (2017–18) periods to assess the effects of huisache removal on evapotranspiration. Evapotranspiration measurements were made using the eddy-covariance technique and were supplemented by remote-sensing estimates of evapotranspiration derived from thermal and optical satellite images. A map of remotely sensed evapotranspiration was generated for the area surrounding the study sites for 2015 and demonstrates the capability of remote sensing to evaluate land-management effects on evapotranspiration for larger scale areas, such as a county or stream-basin area.</p><p>During the pre-removal period (March 2015–December 2016), evapotranspiration was greater at the huisache site than at the grassland site. Evapotranspiration at the grassland site (average of the eddy-covariance evapotranspiration and average remotely sensed evapotranspiration) was 87.6 millimeters per month (mm/mo) and at the huisache site was 100.8 mm/mo, with the differences in evapotranspiration rates being attributed to the difference in site vegetation. After huisache was removed in January 2017, evapotranspiration at the huisache site was substantially lower than at the grassland site, the changes in evapotranspiration rates being attributed not only to removal of huisache vegetation but also to possible disruption of soil runoff and infiltration characteristics. During the post-removal period (February 2017–August 2018), evapotranspiration was 88.5 mm/mo at the grassland site and 72.9 mm/mo at the huisache site (average of the eddy-covariance and average remotely sensed evapotranspiration).</p><p>The monthly differences in evapotranspiration between the grassland and huisache sites, determined by eddy-covariance and remote-sensing methods, were statistically significant between the pre-removal and post-removal periods. Also, the pre-removal period provided the best conditions to evaluate the differences between huisache site and grassland site evapotranspiration. During the pre-removal period, evapotranspiration from the huisache site as measured by the eddy-covariance method was, on average, 10.7 mm/mo greater than evapotranspiration measured at the grassland site. As determined by the average of the remotely sensed methods, huisache site evapotranspiration was 15.8 mm/mo greater than grassland site evapotranspiration. These average differences in evapotranspiration rates by the two methods indicate that evapotranspiration at the grassland site was, on average, 13.2 mm/mo less than that at the huisache site during the pre-removal period. This average difference in evapotranspiration rates also indicates potential increased groundwater recharge and (or) surface-water runoff at the grassland site.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205008","collaboration":"Prepared in cooperation with the Natural Resources Conservation Service, Texas State Soil and Water Conservation Board, Victoria County Groundwater Conservation District, Victoria Soil and Water Conservation District, and the San Antonio River Authority","usgsCitation":"Slattery, R.N., Ockerman, D.J., Bromley, M., Huntington, J., and Banta, J.R., 2020, Effects of huisache removal on rangeland evapotranspiration in Victoria County, south-central Texas, 2015–18: U.S. Geological Survey Scientific Investigations Report 2020–5008, 27 p., https://doi.org/10.3133/sir20205008.","productDescription":"Report: ix, 27 p.; Data 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<a data-mce-href=\"https://www.usgs.gov/centers/tx-water\" href=\"https://www.usgs.gov/centers/tx-water\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane<br>Austin, TX 78754–4501<br><br></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data-Collection Methods</li><li>Effects of Huisache Removal on Evapotranspiration</li><li>Mapping Evapotranspiration by Remote Sensing</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-03-26","noUsgsAuthors":false,"publicationDate":"2020-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science 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0000-0002-2699-0108","orcid":"https://orcid.org/0000-0002-2699-0108","contributorId":178785,"corporation":false,"usgs":false,"family":"Huntington","given":"Justin","affiliations":[],"preferred":false,"id":782987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banta, John R. 0000-0002-2226-7270","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":222710,"corporation":false,"usgs":true,"family":"Banta","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782988,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209301,"text":"70209301 - 2020 - Short and long-term movement of mudflows of the Mississippi River Delta Front and their known and potential impacts on oil and gas infrastructure","interactions":[],"lastModifiedDate":"2020-04-01T08:57:13","indexId":"70209301","displayToPublicDate":"2020-03-26T08:51:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5011,"text":"Geological Society of London Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Short and long-term movement of mudflows of the Mississippi River Delta Front and their known and potential impacts on oil and gas infrastructure","docAbstract":"Mudflows on the Mississippi River Delta Front (MRDF) are recognized hazards to oil and gas infrastructure in the shallow (20 – 300 m water depth) Gulf of Mexico. Preconditioning of the seafloor for failure results from high sedimentation rates coupled with slope over-steepening, under-consolidation, and abundant biogenic gas production. Catastrophic failure of production platforms and pipelines due to seafloor displacement during infrequent large hurricanes such as Camille in 1969 and Ivan in 2004, point to cyclical loading of the seafloor by waves as a primary movement trigger. Due to data limitations, the role of smaller storms and background oceanographic processes in driving seafloor movement have remained largely unconstrained, but are thought to contribute to significant seafloor change.  With the aid of new high-resolution multibeam mapping and seismic reflection profiling across sections of the MRDF, several moving features within the deforming delta-front environment are investigated and potential hazards to infrastructure installed and adjacent to the region are discussed.  Via repeat mapping surveys of selected areas and records of changing shipwreck locations, we highlight significant seafloor displacement across annual to decadal timescales. For example, individual blocks mapped within mudflow gullies adjacent to Southwest Pass show downslope transport of more than 80 m in a single year, while the S.S. Virginia, a 153 m-long oil tanker sunk in 1942 has been relocated and found to have moved downslope more than 400 m in 14 years, without a major hurricane (> Category 2) passing through the region.","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP500-2019-183","usgsCitation":"Chaytor, J., Baldwin, W.E., Bentley, S., Damour, M., Jones, D., Maloney, J., Miner, M., Obelcz, J., and Xu, K., 2020, Short and long-term movement of mudflows of the Mississippi River Delta Front and their known and potential impacts on oil and gas infrastructure: Geological Society of London Special Publications, 18 p., https://doi.org/10.1144/SP500-2019-183.","productDescription":"18 p.","ipdsId":"IP-112601","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499873,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.lsu.edu/geo_pubs/116","text":"External 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wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":785966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bentley, Samuel J.","contributorId":150402,"corporation":false,"usgs":false,"family":"Bentley","given":"Samuel J.","affiliations":[],"preferred":false,"id":785967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Damour, Melanie","contributorId":223691,"corporation":false,"usgs":false,"family":"Damour","given":"Melanie","email":"","affiliations":[{"id":25296,"text":"BOEM","active":true,"usgs":false}],"preferred":false,"id":785968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Douglas","contributorId":223692,"corporation":false,"usgs":false,"family":"Jones","given":"Douglas","affiliations":[{"id":25296,"text":"BOEM","active":true,"usgs":false}],"preferred":false,"id":785969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maloney, Jillian","contributorId":223693,"corporation":false,"usgs":false,"family":"Maloney","given":"Jillian","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":785970,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miner, Michael","contributorId":223694,"corporation":false,"usgs":false,"family":"Miner","given":"Michael","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":785971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Obelcz, Jeff","contributorId":223695,"corporation":false,"usgs":false,"family":"Obelcz","given":"Jeff","email":"","affiliations":[{"id":40754,"text":"Naval Research Lab","active":true,"usgs":false}],"preferred":false,"id":785972,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xu, Kehui","contributorId":223696,"corporation":false,"usgs":false,"family":"Xu","given":"Kehui","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":785973,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70209360,"text":"70209360 - 2020 - Hurricane sedimentation in a subtropical salt marsh-mangrove community is unaffected by vegetation type","interactions":[],"lastModifiedDate":"2020-05-05T17:18:41.818903","indexId":"70209360","displayToPublicDate":"2020-03-26T06:26:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Hurricane sedimentation in a subtropical salt marsh-mangrove community is unaffected by vegetation type","docAbstract":"Hurricanes periodically deliver sediment to coastal wetlands, such as those in the Mississippi River Delta Complex (MRDC), slowing elevation loss and improving resilience to sea-level rise. However, the amount of hurricane sediment deposited and retained in a wetland may vary depending on the dominant vegetation. In the subtropical climate of the MRDC, the black mangrove (Avicennia germinans) has been expanding and replacing salt marsh (Spartina alterniflora). Because these vegetation types differ in structure, their influence on sedimentation may also differ. We conducted a survey along 160 km of coastline to determine if the spatial deposition pattern in saline wetlands by Hurricanes Gustav and Ike in September 2008 was differentially influenced by vegetation type. Sampling was initiated two months after landfall at eighteen sites in the MRDC containing side-by-side stands of A. germinans and S. alterniflora along the shoreline, with S. alterniflora marsh landward. Average thickness of hurricane sediment across sites varied from 0.6 to 5.6 cm with an overall mean of 2.6 ± 0.4 cm. Within sites, hurricane-layer thickness varied from 1.3 cm at the shoreline to 4.8 cm in the marsh interior, but this pattern was unaffected by vegetation type. Despite greater canopy height, stem density (including pneumatophores), and leaf area, mangroves did not capture more hurricane sediment than salt marsh nor did they attenuate the delivery of sediment to the marsh interior. Data recorded at thirty-six monitoring stations in Louisiana's Coastwide Reference Monitoring System further showed that rates of accretion, as well as elevation change, in saline wetlands (S. alterniflora) of the MRDC were temporarily increased by Hurricanes Gustav and Ike. These findings agree with previous work showing the beneficial effects of hurricane sediments on coastal wetlands, but suggest that a climate-driven shift from S. alterniflora to A. germinans in the MRDC will not necessarily alter hurricane sediment capture.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2020.106733","collaboration":"","usgsCitation":"McKee, K.L., Mendelssohn, I.A., and Hester, M.W., 2020, Hurricane sedimentation in a subtropical salt marsh-mangrove community is unaffected by vegetation type: Estuarine, Coastal and Shelf Science, v. 239, 106733, 12 p., https://doi.org/10.1016/j.ecss.2020.106733.","productDescription":"106733, 12 p.","ipdsId":"IP-111117","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457267,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2020.106733","text":"Publisher Index Page"},{"id":437049,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QNLXWD","text":"USGS data release","linkHelpText":"Hurricane sedimentation in a subtropical salt marsh-mangrove community in the Mississippi River Delta Complex unaffected by vegetation type"},{"id":373742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Delta Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.92260742187499,\n              28.738763971370293\n            ],\n            [\n              -88.96728515624999,\n              28.738763971370293\n            ],\n            [\n              -88.96728515624999,\n              30.600093873550072\n            ],\n            [\n              -91.92260742187499,\n              30.600093873550072\n            ],\n            [\n              -91.92260742187499,\n              28.738763971370293\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"239","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McKee, Karen L. 0000-0001-7042-670X mckeek@usgs.gov","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":704,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"mckeek@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":786300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mendelssohn, Irving A.","contributorId":195574,"corporation":false,"usgs":false,"family":"Mendelssohn","given":"Irving","email":"","middleInitial":"A.","affiliations":[{"id":16756,"text":"Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":786301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hester, Mark W.","contributorId":195572,"corporation":false,"usgs":false,"family":"Hester","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":34316,"text":"University of Louisiana at Lafayette, Lafayette, LA, USA","active":true,"usgs":false}],"preferred":false,"id":786302,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208883,"text":"sim3452 - 2020 - Hydrogeologic units, contour maps, and cross sections of the Boone and Roubidoux aquifers, northeastern Oklahoma, 2020","interactions":[],"lastModifiedDate":"2022-04-22T20:11:15.769649","indexId":"sim3452","displayToPublicDate":"2020-03-26T05:42:06","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3452","displayTitle":"Hydrogeologic Units, Contour Maps, and Cross Sections of the Boone and Roubidoux Aquifers, Northeastern Oklahoma, 2020","title":"Hydrogeologic units, contour maps, and cross sections of the Boone and Roubidoux aquifers, northeastern Oklahoma, 2020","docAbstract":"<p>The Boone and Roubidoux aquifers (or their equivalents) are the main sources of fresh groundwater in northeastern Oklahoma. Projected total water demand of both surface water and groundwater in northeastern Oklahoma is expected to increase approximately 56 percent from 2010 to 2060. This report provides an overview of the hydrogeology of northeastern Oklahoma, with an emphasis on the hydrogeologic units composing and surrounding the Boone and Roubidoux aquifers (the Western Interior Plains confining unit, the Boone aquifer, the Ozark confining unit, and the Roubidoux aquifer). This report also provides the hydrogeologic framework for an ongoing (as of 2020) hydrologic investigation to aid the Oklahoma Water Resources Board in determining the maximum annual yields of the Boone and Roubidoux aquifers. As a first step of this ongoing hydrologic investigation, the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board and U.S. Army Corps of Engineers, developed hydrogeologic-unit maps, contour maps for the bases of the four hydrogeologic units, and generalized cross sections to further characterize the hydrogeologic framework of the Boone and Roubidoux aquifers. The contour maps illustrate the altitudes of the bases of each hydrogeologic unit. The altitude of the base of the Western Interior Plains confining unit ranged from 1,316 to −6,437 feet (ft) relative to North American Vertical Datum of 1988. The altitude of the base of the Boone aquifer ranged from 1,327 to −6,681 ft. The altitude of the base of the Ozark confining unit ranged from 1,275 to −6,720 ft. The altitude of the base of the Roubidoux aquifer ranged from 403 to −9,488 ft.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3452","collaboration":"Prepared in cooperation with Oklahoma Water Resources Board and U.S. Army Corps of Engineers","usgsCitation":"Russell, C.A., and Stivers, J.W., 2020, Hydrogeologic units, contour maps, and cross sections of the Boone and Roubidoux aquifers, northeastern Oklahoma, 2020: U.S. Geological Survey Scientific Investigations Map 3452, 2 sheets, https://dx.doi.org/10.3133/sim3452.","productDescription":"2 Sheets: 36.00 x 45.00 inches; Data Releases","onlineOnly":"Y","ipdsId":"IP-109561","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":399522,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109802.htm"},{"id":373495,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3452/sim3452_sheet02.pdf","text":"Sheet 2","size":"17.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3452 Sheet 2"},{"id":373494,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3452/sim3452_sheet01.pdf","text":"Sheet 1","size":"8.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3452 Sheet 1"},{"id":373493,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3452/coverthb.jpg"},{"id":373496,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P967BVQL","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data used to describe hydrogeologic units and create contour maps and cross sections of the Boone and Roubidoux Aquifers, northeastern Oklahoma"}],"scale":"583000","country":"United States","state":"Oklahoma","otherGeospatial":"Boone Aquifer, Roubidoux Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.85,\n              35.2342\n            ],\n            [\n              -93.9256,\n              35.2342\n            ],\n            [\n              -93.9256,\n              37.3669\n            ],\n            [\n              -95.85,\n              37.3669\n            ],\n            [\n              -95.85,\n              35.2342\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/tx-water\" href=\"https://www.usgs.gov/centers/tx-water\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane<br>Austin, TX 78754–4501<br></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Description of Hydrogeologic Units</li><li>Cross Sections</li><li>Contour Maps</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-03-26","noUsgsAuthors":false,"publicationDate":"2020-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Cory A. 0000-0001-6358-1605","orcid":"https://orcid.org/0000-0001-6358-1605","contributorId":223018,"corporation":false,"usgs":true,"family":"Russell","given":"Cory","email":"","middleInitial":"A.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stivers, Jacob W.","contributorId":223563,"corporation":false,"usgs":false,"family":"Stivers","given":"Jacob","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":785480,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211219,"text":"70211219 - 2020 - Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974-2014","interactions":[],"lastModifiedDate":"2020-07-17T20:48:59.552524","indexId":"70211219","displayToPublicDate":"2020-03-25T15:45:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5977,"text":"Environmental Monitoring and Assessment (https://www.springer.com/journal/10661)","active":true,"publicationSubtype":{"id":10}},"title":"Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974-2014","docAbstract":"<p><span>Areas of improving and degrading groundwater-quality conditions in the State of California were assessed using spatial weighting of a new metric for scoring wells based on constituent concentrations and the direction and magnitude of a trend slope (Sen). Individual well scores were aggregated across 2135 equal-area grid cells covering the entire groundwater resource used for public supply in the state. Spatial weighting allows results to be aggregated locally (well or grid cell), regionally (groundwater basin), provincially, or statewide. Results differentiate degrading (increasing concentration trends) areas with low to moderate concentrations (unimpaired) from degrading areas with moderate to high concentrations (impaired). Results also differentiate improving areas (decreasing concentration trends) in the same manner. Multi-year to decadal groundwater-quality trends were computed from periodic, inorganic water-quality data for 38 constituents collected between 1974 and 2014 for compliance monitoring of nearly 13,000 public-supply wells (PSWs) in the State of California. Mann-Kendall (MK) rank correlations and Sen’s slope estimator were used to detect statistically significant trends for the entire period of recorded data (long-term trend), for the period since 2000 (recent trend), for different pumping seasons (seasonal trend), and for reversals of trends. Statewide, the most frequently detected trends since 2000 were for nitrate (36%), gross alpha/uranium (10%), arsenic (14%), total dissolved solids (TDS) (23%), and the major ions that contribute to TDS (19–28%). The Transverse and Selected Peninsular Ranges (TSPR) and the San Joaquin Valley (SJV) hydrogeologic provinces had the largest percentage of areas with moderate to high nitrate concentrations and groundwater quality trends. Improving nitrate concentrations in parts of the TSPR is associated with long-term managed aquifer recharge that has replaced historical, agriculturally affected groundwater with low-nitrate recharge in parts of the TSPR. This example suggests that application of dilute, excess surface water to agricultural fields during the winter could improve groundwater-quality in the SJV over the long term.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-020-8180-y","usgsCitation":"Jurgens, B., Fram, M.S., Rutledge, J., and Bennett, G.L., 2020, Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974-2014: Environmental Monitoring and Assessment (https://www.springer.com/journal/10661), v. 192, 250, 23 p., https://doi.org/10.1007/s10661-020-8180-y.","productDescription":"250, 23 p.","ipdsId":"IP-083518","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":457269,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-020-8180-y","text":"Publisher Index 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V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209259,"text":"cir1462 - 2020 - USGS Cascades Volcano Observatory news media management guide — General protocols and templates","interactions":[],"lastModifiedDate":"2022-04-19T20:36:17.524494","indexId":"cir1462","displayToPublicDate":"2020-03-25T15:18:16","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1462","displayTitle":"USGS Cascades Volcano Observatory News Media Management Guide — General Protocols and Templates","title":"USGS Cascades Volcano Observatory news media management guide — General protocols and templates","docAbstract":"<p>This guide describes general protocols and provides&nbsp;templates for news media management at the U.S. Geological Survey (USGS) Cascades Volcano Observatory (CVO) and is intended for use by the CVO scientist-in-charge, communications staff, scientists, and guest communications colleagues. This public version, with CVO names and contact information removed, may be useful to other agencies developing their own protocols and templates. This guide evolved from a smaller document hastily assembled out of necessity during the complex and overwhelming news media interest in the 2004–2008 Mount St. Helens eruption. News media interest exceeded the need for life-saving crisis communication and foretold of the need for future multi-faceted and well-coordinated news media and social media responses during future volcanic events.</p><p>This guide accompanies the USGS Volcano Science Center’s (VSC’s) general guidelines and protocols for how communications staff at all VSC observatories will work together to respond to news media requests. The protocols and templates are applicable to (1) normal conditions when CVO has an opportunity to be proactive with its messages and to raise general awareness, (2) general responses to news media and TV documentary inquiries, (3) intense news media interest where the responsibility to communicate information and hazards rests primarily with staff at CVO, and (4) intense and overwhelming news media interest that requires a multiagency response. This guide reflects general protocols in effect at the time of publication. The information will be modified as conditions change. Although “news media” generally refers to traditional outlets such as TV, radio, and newspapers, the protocols used to engage these traditional outlets apply also when responding to bloggers, online news services, and social media comments.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1462","usgsCitation":"Driedger, C.L., and Westby, E.G., 2020, USGS Cascades Volcano Observatory news media management guide — General protocols and templates: U.S. Geological Survey Circular 1462, 53 p., https://doi.org/10.3133/cir1462.","productDescription":"viii, 46 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-098135","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":399130,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109797.htm"},{"id":373532,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1462/circ1462.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":373531,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1462/coverthb.jpg"}],"contact":"<p><a href=\"https://volcanoes.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/\">Volcano Science Center</a><br><a href=\"https://volcanoes.usgs.gov/observatories/cvo/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/observatories/cvo/\">Cascades Volcano Observatory</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>1300 SE Cardinal Court<br>Vancouver, WA, 98683</p>","tableOfContents":"<p></p><ul><li>Preface</li><li>Purpose and Use</li><li>Working with the News Media</li><li>Response to Inquiries at CVO</li><li>Response to Intense Media Interest</li><li>Multi-Agency Response with an Incident Command Joint Information Center or System</li><li>Appendixes</li></ul><p></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-03-25","noUsgsAuthors":false,"publicationDate":"2020-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Mastin, Carolyn L. 0000-0002-4011-4112","orcid":"https://orcid.org/0000-0002-4011-4112","contributorId":204744,"corporation":false,"usgs":true,"family":"Mastin","given":"Carolyn","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":785616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westby, Elizabeth G. 0000-0003-3494-8353","orcid":"https://orcid.org/0000-0003-3494-8353","contributorId":214674,"corporation":false,"usgs":true,"family":"Westby","given":"Elizabeth","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":785617,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209242,"text":"70209242 - 2020 - Defining active, inactive, and extinct seafloor massive sulfide deposits","interactions":[],"lastModifiedDate":"2020-03-25T14:25:14","indexId":"70209242","displayToPublicDate":"2020-03-25T14:24:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5220,"text":"Marine Policy","active":true,"publicationSubtype":{"id":10}},"title":"Defining active, inactive, and extinct seafloor massive sulfide deposits","docAbstract":"Hydrothermal activity results in the formation of hydrothermal mineral deposits, including seafloor massive sulfide deposits, at oceanic spreading ridges, arcs, and back-arcs. As hydrothermal systems age, the mineral deposits eventually become severed from the heat source and fluid-flow pathways responsible for their formation and become extinct. The timescales and processes by which this cessation of activity occurs, and the resultant distinction between hydrothermally active and inactive deposits has recently taken on policy implications related to the potential issuance of exploitation leases for seafloor massive sulfide deposits by the International Seabed Authority in Areas Beyond National Jurisdiction. Here, we discuss the scientific rationale behind designating hydrothermal systems as active, inactive, or extinct, with the aim of applying a scientific underpinning to ongoing policy discussions, which often lack a common set of criteria and use the same descriptions for opposing phenomena. We apply the simple definition that active vent fields currently exhibit fluid flow above ambient seawater temperatures, inactive vent fields are not currently exhibiting fluid flow but may potentially become active again, and extinct vent fields are not expected to become active again. We suggest these terms can only be correctly applied at the vent field scale and define a vent field as a geologically continuous entity that may include both actively and formerly venting hydrothermal deposits. Finally, we propose criteria and techniques for determining activity and reasonably bounding the extent of a vent field for classification purposes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpol.2020.103926","usgsCitation":"Jamieson, J.W., and Gartman, A., 2020, Defining active, inactive, and extinct seafloor massive sulfide deposits: Marine Policy, v. 117, 103926, https://doi.org/10.1016/j.marpol.2020.103926.","productDescription":"103926","ipdsId":"IP-113430","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457273,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpol.2020.103926","text":"Publisher Index Page"},{"id":373527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jamieson, John W.","contributorId":223589,"corporation":false,"usgs":false,"family":"Jamieson","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":40744,"text":"Memorial University","active":true,"usgs":false}],"preferred":false,"id":785526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":785525,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209071,"text":"ofr20201024 - 2020 - Assessment of microscopic pathology in fishes collected at sites impacted by wood tar in Pennsylvania","interactions":[],"lastModifiedDate":"2024-03-04T19:33:56.149162","indexId":"ofr20201024","displayToPublicDate":"2020-03-25T12:45:00","publicationYear":"2020","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":"2020-1024","displayTitle":"Assessment of Microscopic Pathology in Fishes Collected at Sites Impacted by Wood Tar in Pennsylvania","title":"Assessment of microscopic pathology in fishes collected at sites impacted by wood tar in Pennsylvania","docAbstract":"<p>In an effort to determine whether fish populations in an area affected by wood tar waste exhibited health effects, fish were collected and analyzed with histopathology. Multiple species, including Mottled Sculpin (<i>Cottus bairdii</i>), Creek Chub (<i>Semotilus atromaculatus</i>), White Sucker (<i>Catostumus commersonii</i>), Redside Dace (<i>Clinostomus elongatus</i>), Common Shiner (<i>Luxilus cornutus</i>), and Western Blacknose Dace (<i>Rhinichthys obtusus</i>) were sampled from a reference site, Meade Run, and potentially affected streams, Kinzua Creek and Threemile Run, in northwestern Pennsylvania. A full histopathological evaluation was conducted to identify microscopic abnormalities potentially associated with wood tar exposure. The evaluation identified primarily parasites associated with tissue changes. These included microsporidian parasites in the ovaries of Common Shiner and Western Blacknose Dace; myxozoan cysts in the muscle of Common Shiner, Creek Chub, and Western Blacknose Dace; trematode cysts in the muscle of Creek Chub, Redside Dace and Common Shiner; and coccidia in spleen or pancreas of Creek Chub and Common Shiner. Microscopic abnormalities potentially associated with chemical exposure included ceroid/lipofuscin deposits in the meninges of the olfactory lobe of the brain in Common Shiner, Western Blacknose Dace, and Creek Chub, as well as bile duct proliferation and a biliary tumor in Creek Chub. Overall, the findings did not reveal significant microscopic pathology consistent with exposure to wood tar waste.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201024","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Walsh, H.L., Blazer, V.S., Mazik, P.M., Sperry, A.J., and Pavlick, D., 2020, Assessment of microscopic pathology in fishes collected at sites impacted by wood tar in Pennsylvania: U.S. Geological Survey Open-File Report 2020–1024, 14 p., https://doi.org/10.3133/ofr20201024.","productDescription":"vi, 14 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-116287","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science 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,{"id":70204775,"text":"tm15C8 - 2020 - Human dimensions considerations in wildlife disease management","interactions":[{"subject":{"id":70204775,"text":"tm15C8 - 2020 - Human dimensions considerations in wildlife disease management","indexId":"tm15C8","publicationYear":"2020","noYear":false,"displayTitle":"Human Dimensions Considerations in Wildlife Disease Management","title":"Human dimensions considerations in wildlife disease management"},"predicate":"IS_PART_OF","object":{"id":70118922,"text":"tm15 - 2015 - Field Manual of Wildlife Diseases","indexId":"tm15","publicationYear":"2015","noYear":false,"title":"Field Manual of Wildlife Diseases"},"id":1}],"isPartOf":{"id":70118922,"text":"tm15 - 2015 - Field Manual of Wildlife Diseases","indexId":"tm15","publicationYear":"2015","noYear":false,"title":"Field Manual of Wildlife Diseases"},"lastModifiedDate":"2020-04-01T16:56:23","indexId":"tm15C8","displayToPublicDate":"2020-03-25T12:24:17","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"15-C8","displayTitle":"Human Dimensions Considerations in Wildlife Disease Management","title":"Human dimensions considerations in wildlife disease management","docAbstract":"<p>In 1943, Aldo Leopold observed that the real problem of wildlife management is not how to handle wildlife, but how to manage humans. As with any other aspect of wildlife management, social sciences can improve understanding the human dimensions of wildlife disease management (WDM). Human activities have accelerated the emergence of wildlife diseases, and human concerns about the ecological, social, and economic impacts of wildlife diseases and their management have led to diseases becoming headline-worthy public issues. This chapter provides guidance to help front-line professionals understand and address the public’s perspectives and behaviors relevant to WDM. This chapter focuses on practical needs of wildlife disease managers who have to consider and interact with specific stakeholders and the broader public. The chapter does not dive deeply into social science; instead it briefly reviews some concepts that are most relevant to WDM. The chapter also suggests where to look for assistance and additional resources for further reading. Following brief introductory comments, the chapter is organized around a simple model of the general process for WDM. It addresses three key areas where social science can assist in WDM—audience research to understand stakeholders; engaging stakeholders in wildlife disease management; and using risk communication about wildlife diseases and disease management to inspire risk-wise behavior.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Techniques in disease surveillance and investigation in Book 15: <i>Field Manual of Wildlife Diseases</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm15C8","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service and National Park Service","usgsCitation":"Leong, K.M, and Decker, D.J., 2020, Human dimensions considerations in wildlife disease management: U.S. Geological Survey Techniques and Methods, book 15, chap. C8, 21 p., https://doi.org/10.3133/tm15C8.","productDescription":"iv, 21 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-101578","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":373455,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/15/c08/coverthb3.jpg"},{"id":373456,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/15/c08/tm15c8.pdf","text":"Report","size":"1.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"T&M 15–C8"}],"publicComments":"This report is Chapter 8 of Section C: Techniques in disease surveillance and investigation in Book 15: Field Manual of Wildlife Diseases\n","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nwhc\" href=\"https://www.usgs.gov/centers/nwhc\">National Wildlife Health Center</a> <br>U.S. Geological Survey <br>6006 Schroeder Road <br>Madison, WI 53711–6223</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Human Dimensions Practices for Wildlife Disease Management</li><li>Summary and Conclusion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-03-25","noUsgsAuthors":false,"publicationDate":"2020-03-25","publicationStatus":"PW","contributors":{"editors":[{"text":"Richgels, Katherine L. 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D.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":785364,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gibbs, Samantha E.J.","contributorId":127739,"corporation":false,"usgs":false,"family":"Gibbs","given":"Samantha E.J.","affiliations":[{"id":7128,"text":"Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA 01536, USA.","active":true,"usgs":false}],"preferred":false,"id":785365,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wild, Margaret A.","contributorId":26976,"corporation":false,"usgs":true,"family":"Wild","given":"Margaret A.","affiliations":[],"preferred":false,"id":785366,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Leong, Kirsten","contributorId":207317,"corporation":false,"usgs":false,"family":"Leong","given":"Kirsten","affiliations":[{"id":37520,"text":"NOAA Fisheries, Pacific Islands Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":769707,"contributorType":{"id":1,"text":"Authors"},"rank":0},{"text":"Decker, Daniel J.","contributorId":166906,"corporation":false,"usgs":false,"family":"Decker","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":769708,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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