{"pageNumber":"702","pageRowStart":"17525","pageSize":"25","recordCount":184582,"records":[{"id":70263729,"text":"70263729 - 2019 - Length-scale-dependent relationships between VS30 and topographic slopes in southern California","interactions":[],"lastModifiedDate":"2025-02-20T16:52:35.614349","indexId":"70263729","displayToPublicDate":"2019-09-17T10:44:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Length-scale-dependent relationships between VS30 and topographic slopes in southern California","title":"Length-scale-dependent relationships between VS30 and topographic slopes in southern California","docAbstract":"

In engineering seismology, the time‐averaged shear‐wave velocity (⁠VS⁠) of the upper 30 m of the crust (⁠VS30⁠) is the primary parameter used in ground‐motion models to predict seismic site effects. ⁠VS30⁠ is typically derived from in situ recordings of VS⁠, although proxy‐based approaches (using geologic and/or geomorphometric classifications) are provisionally adopted when measurement‐based ⁠VS30⁠ are sparse or not readily available. Despite the acceptance of proxy approaches, there are limited studies that examine the empirical relationships between ⁠VS30⁠ and topographic attributes measured from various length scales and different resolutions of the digital elevation model. In this study, we examine the relationships between compiled ⁠VS30⁠ measurements from 218 sites in southern California and topographic metrics of slope and relief measured over various length scales. We find that the correlations between topographic metrics and ⁠VS30⁠ are weak but statistically significant. The correlations are improved when topographic slopes and relief are measured over length scales longer than typical hillslopes and ⁠VS30⁠ sites are separated by different geologic groups. This is likely because ⁠VS30⁠⁠, especially on the rock sites, is better reflected in topographic metrics that capture large‐scale topographic relief, as well as landscape positions such as hilltops and valley bottoms.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190076","usgsCitation":"Lin, J., Moon, S., Yong, A., Meng, L., and Davies, P., 2019, Length-scale-dependent relationships between VS30 and topographic slopes in southern California: Bulletin of the Seismological Society of America, v. 109, no. 6, p. 2614-2625, https://doi.org/10.1785/0120190076.","productDescription":"12 p.","startPage":"2614","endPage":"2625","ipdsId":"IP-104595","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482284,"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 \"coordinates\": [\n [\n [\n -119,\n 34.8\n ],\n [\n -119,\n 33.875\n ],\n [\n -116.25,\n 33.875\n ],\n [\n -116.25,\n 34.8\n ],\n [\n -119,\n 34.8\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"109","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lin, Jessica","contributorId":351141,"corporation":false,"usgs":false,"family":"Lin","given":"Jessica","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":927974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moon, Seulgi 0000-0001-5207-1781","orcid":"https://orcid.org/0000-0001-5207-1781","contributorId":264625,"corporation":false,"usgs":false,"family":"Moon","given":"Seulgi","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":927975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yong, Alan 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":204730,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meng, Lingseng","contributorId":351143,"corporation":false,"usgs":false,"family":"Meng","given":"Lingseng","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":927977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Paul","contributorId":351144,"corporation":false,"usgs":false,"family":"Davies","given":"Paul","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":927978,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205387,"text":"70205387 - 2019 - Anticoagulant rodenticides in Strix owls indicate widespread exposure in west coast forests","interactions":[],"lastModifiedDate":"2019-09-18T15:20:37","indexId":"70205387","displayToPublicDate":"2019-09-17T08:47:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Anticoagulant rodenticides in Strix owls indicate widespread exposure in west coast forests","title":"Anticoagulant rodenticides in Strix owls indicate widespread exposure in west coast forests","docAbstract":"

Exposure of nontarget wildlife to anticoagulant rodenticides (AR) is a global conservation concern typically centered around urban or agricultural areas. Recently, however, the illegal use of ARs in remote forests of California, USA, has exposed sensitive predators, including the federally threatened northern spotted owl (Strix occidentalis caurina). We used congeneric barred owls (S. varia) as a sentinel species to investigate whether ARs pose a threat to spotted owls and other old-forest wildlife in northern regions of the Pacific Northwest. We analyzed the liver tissue from 40 barred owls collected in Oregon and Washington and confirmed exposure to ≥1 AR compounds in 48% of the owls examined. Brodifacoum, an extremely toxic second-generation AR, was the most common compound detected (89% of positive cases), followed by bromadiolone (11%), difethialone (11%), and warfarin (5%). Brodifacoum was also detected in one barred owl and one spotted owl opportunistically found dead (liver concentrations were 0.091 and 0.049 µg/g, respectively). We found no evidence that exposure varied with proximity to developed and agricultural areas, or among different study areas, age-classes, and sexes. Rather, exposure was ubiquitous, and the rates we observed in our study (38 – 64%) were similar to or greater than that reported previously for barred owls in California (40%). Together these studies indicate widespread contamination in forested landscapes used by spotted owls and other wildlife of conservation concern. Owls collected in older forests may have been exposed via illegal use of ARs, highlighting a mounting challenge for land managers and policy makers.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.108238","usgsCitation":"Wiens, D., Dilione, K., Eagles-Smith, C.A., Herring, G., Lesmeister, D.B., Gabriel, M.W., Wengert, G., and Simon, D.C., 2019, Anticoagulant rodenticides in Strix owls indicate widespread exposure in west coast forests: Biological Conservation, v. 238, 108238, 8 p., https://doi.org/10.1016/j.biocon.2019.108238.","productDescription":"108238, 8 p.","ipdsId":"IP-108348","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":459785,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2019.108238","text":"Publisher Index Page"},{"id":437335,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S51J9K","text":"USGS data release","linkHelpText":"Anticoagulant rodenticide exposure in Barred Owls (Strix varia) collected in Washington and Oregon 2015-2017"},{"id":367449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":770999,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205389,"text":"70205389 - 2019 - Sediment and organic carbon transport and deposition driven by internal tides along Monterey Canyon, offshore California","interactions":[],"lastModifiedDate":"2019-11-13T13:40:12","indexId":"70205389","displayToPublicDate":"2019-09-17T08:43:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1370,"text":"Deep-Sea Research Part I: Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"Sediment and organic carbon transport and deposition driven by internal tides along Monterey Canyon, offshore California","docAbstract":"Submarine canyons provide globally important conduits for sediment and organic carbon transport into the deep-sea. Using a novel dataset from Monterey Canyon, offshore central California, that includes an extensive array of water column sampling devices, we address how fine-grained sediment and organic carbon are transported, mixed, fractionated, and buried along a submarine canyon. Anderson-type sediment traps were deployed 10 to 300 meters above the seafloor on moorings anchored between 278–1849 m water depths along the axial channel of Monterey Canyon during three consecutive 6-month deployments (2015–2017). Tidal currents within the canyon suspended and transported fine-grained sediment and organic carbon that were captured in sediment traps, which show apparent patterns and composition of sediment and organic carbon transport along the canyon. High sediment accumulation rates in traps increased up-canyon and near the seafloor with fine-scale (<1 cm) layering that was increasingly distinctive in CT scans. There was no along-canyon trend in the organic carbon composition (percent modern carbon and isotopic signatures) among trap locations, suggesting mixing. Organic carbon content (weight percent total organic carbon) and excess 210Pb activities (dpm/g) increased down-canyon, reflecting reduced flux of sediment and organic carbon into traps. Differing organic carbon signatures in traps compared with previous measurements of seabed deposits along Monterey Canyon suggest that canyon deposits may not reflect organic carbon available to organisms and transported through the canyon with internal tides. Organic carbon burial efficiency estimates from comparing core and trap samples are low (~26% or much less), suggesting that the modern upper Monterey Canyon may not be an effective sink for carbon in biogeochemical and CO2 cycling. Organic carbon isotopic signatures appear more marine in traps that sample from the water column than in cores that sample seafloor deposits, likely owing to the influence of sediment density flow events on deposits and preferential consumption of relatively fresh marine organic carbon on the seafloor that was largely prevented in preserved traps. Along-canyon sediment and organic carbon transport by internal tides likely occurs in many modern global submarine canyons, but canyon deposits and remaining organic carbon appear to preferentially reflect episodic sediment density flow events unrelated to internal tides. This study provides a quantified example and conceptual schematic for internal-tide-related sediment and organic carbon transport, mixing, and burial trends along a submarine canyon that are likely to have common global aspects.","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2019.103108","usgsCitation":"Maier, K.L., Rosenberger, K.J., Paull, C.K., Gwiazda, R., Gales, J., Lorenson, T., Barry, J., Talling, P.J., McGann, M., Xu, J., Lundsten, E.M., Anderson, K., Litvin, S., Parsons, D., Clare, M., Simmons, S., Sumner, E., and Cartigny, M.J., 2019, Sediment and organic carbon transport and deposition driven by internal tides along Monterey Canyon, offshore California: Deep-Sea Research Part I: Oceanographic Research Papers, v. 153, 103108, https://doi.org/10.1016/j.dsr.2019.103108.","productDescription":"103108","ipdsId":"IP-103300","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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Jenny","contributorId":216506,"corporation":false,"usgs":false,"family":"Gales","given":"Jenny","email":"","affiliations":[{"id":39461,"text":"University of Plymouth, UK","active":true,"usgs":false}],"preferred":false,"id":771007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":771008,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barry, James P.","contributorId":140935,"corporation":false,"usgs":false,"family":"Barry","given":"James P.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, 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Steven","contributorId":219014,"corporation":false,"usgs":false,"family":"Litvin","given":"Steven","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":771015,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Parsons, Daniel","contributorId":216508,"corporation":false,"usgs":false,"family":"Parsons","given":"Daniel","affiliations":[{"id":39462,"text":"University of Hull, UK","active":true,"usgs":false}],"preferred":false,"id":771016,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Clare, Michael","contributorId":213585,"corporation":false,"usgs":false,"family":"Clare","given":"Michael","email":"","affiliations":[{"id":38805,"text":"National Oceanography Centre, University of Southampton Waterfront Campus, European Way, Southampton, SO14 3ZH, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":771017,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Simmons, Stephen","contributorId":216507,"corporation":false,"usgs":false,"family":"Simmons","given":"Stephen","affiliations":[{"id":39462,"text":"University of Hull, UK","active":true,"usgs":false}],"preferred":false,"id":771018,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sumner, Esther J.","contributorId":147189,"corporation":false,"usgs":false,"family":"Sumner","given":"Esther J.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":771019,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Cartigny, Matthieu J.B.","contributorId":195513,"corporation":false,"usgs":false,"family":"Cartigny","given":"Matthieu","email":"","middleInitial":"J.B.","affiliations":[],"preferred":false,"id":771020,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70205435,"text":"70205435 - 2019 - Reporting the limits of detection and quantification for environmental DNA assays","interactions":[],"lastModifiedDate":"2020-08-04T13:44:26.547842","indexId":"70205435","displayToPublicDate":"2019-09-16T17:33:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Reporting the limits of detection and quantification for environmental DNA assays","docAbstract":"

Background

Environmental DNA (eDNA) analysis is increasingly being used to detect the presence and relative abundance of rare species, especially invasive or imperiled aquatic species. The rapid progress in the eDNA field has resulted in numerous studies impacting conservation and management actions. However, standardization of eDNA methods and reporting across the field is yet to be fully established, with one area being the calculation and interpretation of assay limit of detection (LOD) and limit of quantification (LOQ).

Aims

Here, we propose establishing consistent methods for determining and reporting of LOD and LOQ for single‐species quantitative PCR (qPCR) eDNA studies.

Materials & Methods/ Results

We utilize datasets from multiple cooperating laboratories to demonstrate both a discrete threshold approach and a curve‐fitting modeling approach for determining LODs and LOQs for eDNA qPCR assays. We also provide details of an R script developed and applied for the modeling method.

Discussion/Conclusions

Ultimately, standardization of how LOD and LOQ are determined, interpreted, and reported for eDNA assays will allow for more informed interpretation of assay results, more meaningful interlaboratory comparisons of experiments, and enhanced capacity for assessing the relative technical quality and performance of different eDNA qPCR assays.

","language":"English","publisher":"Wiley","doi":"10.1002/edn3.29","usgsCitation":"Klymus, K.E., Merkes, C.M., Allison, M.J., Goldberg, C.S., Helbing, C.C., Hunter, M., Jackson, C., Lance, R.F., Mangan, A., Monroe, E.M., Piaggio, A.J., Stokdyk, J.P., Wilson, C.C., and Richter, C.A., 2019, Reporting the limits of detection and quantification for environmental DNA assays: Environmental DNA, v. 2, no. 3, p. 271-282, https://doi.org/10.1002/edn3.29.","productDescription":"12 p.","startPage":"271","endPage":"282","ipdsId":"IP-108387","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":459793,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.29","text":"Publisher Index Page"},{"id":437336,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AKHU1R","text":"USGS data release","linkHelpText":"Reporting the limits of detection (LOD) and quantification (LOQ) for environmental DNA assays: Data"},{"id":367527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":771153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allison, Michael J.","contributorId":219053,"corporation":false,"usgs":false,"family":"Allison","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":39951,"text":"Department of Biochemistry and Microbiology, University of Victoria, 3800 Finnerty Road, Victoria, British Columbia, V8P 5C2, Canada","active":true,"usgs":false}],"preferred":false,"id":771155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldberg, Caren S.","contributorId":76879,"corporation":false,"usgs":false,"family":"Goldberg","given":"Caren","email":"","middleInitial":"S.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":771156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helbing, Caren C.","contributorId":219054,"corporation":false,"usgs":false,"family":"Helbing","given":"Caren","email":"","middleInitial":"C.","affiliations":[{"id":39951,"text":"Department of Biochemistry and Microbiology, University of Victoria, 3800 Finnerty Road, Victoria, British Columbia, V8P 5C2, Canada","active":true,"usgs":false}],"preferred":false,"id":771157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":207589,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":771158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackson, Craig 0000-0003-4023-0276 cjackson@usgs.gov","orcid":"https://orcid.org/0000-0003-4023-0276","contributorId":192276,"corporation":false,"usgs":true,"family":"Jackson","given":"Craig","email":"cjackson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771159,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lance, Richard F.","contributorId":176872,"corporation":false,"usgs":false,"family":"Lance","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":771160,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mangan, Anna M.","contributorId":219055,"corporation":false,"usgs":false,"family":"Mangan","given":"Anna M.","affiliations":[{"id":39952,"text":"Wildlife Genetics Lab, U. 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Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Research Center, 4101 LaPorte Ave., Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":771161,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Monroe, Emy M.","contributorId":219056,"corporation":false,"usgs":false,"family":"Monroe","given":"Emy","email":"","middleInitial":"M.","affiliations":[{"id":39953,"text":"Whitney Genetics Laboratory, Midwest Fisheries Center, U.S. Fish and Wildlife Service, 555 Lester Ave., Onalaska, WI","active":true,"usgs":false}],"preferred":false,"id":771162,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Piaggio, Antoinette J.","contributorId":174782,"corporation":false,"usgs":false,"family":"Piaggio","given":"Antoinette","email":"","middleInitial":"J.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":771163,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771164,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilson, Chris C.","contributorId":149385,"corporation":false,"usgs":false,"family":"Wilson","given":"Chris","email":"","middleInitial":"C.","affiliations":[{"id":17723,"text":"3Aquatic Research Section, Ontario Ministry of Natural Resources, Trent University","active":true,"usgs":false}],"preferred":false,"id":771165,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":771166,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70206052,"text":"70206052 - 2019 - The role of nanoparticles in mediating element deposition and transport at hydrothermal vents","interactions":[],"lastModifiedDate":"2019-10-18T13:21:20","indexId":"70206052","displayToPublicDate":"2019-09-16T13:07:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"The role of nanoparticles in mediating element deposition and transport at hydrothermal vents","docAbstract":"

Precipitation processes in hydrothermal fluids exert a primary control on the eventual distribution of elements, whether that sink is in the subseafloor, hydrothermal chimneys, near-field metalliferous sediments, or more distal in the ocean basin. Recent studies demonstrating abundant nanoparticles in hydrothermal fluids raise questions as to the importance of these nanoparticles relative to macro minerals, as well as the fate of such particles in hydrothermal systems. Here we evaluate the particle geochemistry of black smoker fluids from Niua South vent field, including nanoparticles and macro minerals, in order to consider how the processes of mineral precipitation affect mineral size and morphology, and how this mineral precipitation may dictate element sinks as hydrothermal fluids begin to mix with seawater. We find that the Niua vent fluids are dominated by sulfide and sulfate minerals, with the mineralogy of major and minor minerals changing with temperature, degree of mixing with seawater and rate of precipitation. The majority of particles are submicron in size, and sulfide minerals become larger and exhibit more crystalline morphology with increasing seawater content in the fluids. Minor minerals include gold and bismuth tellurides, and nanoparticulate chalcopyrite and nano-zinc sulfide occur. These findings are consistent with major mineral classes and precipitation processes observed in other systems, while providing further insight into the details of mineral precipitation at Niua including the separate and combined influences of boiling, mixing and cooling during hydrothermal fluid transport and initial interactions with seawater. This work demonstrates that boiling and rapid mixing encourages the formation of nanoparticles, whereas conductive cooling encourages particle growth. Further, these data demonstrate that the possible influence of nanoparticles in hydrothermal systems are not restricted to enhancing element transport, but may also include restricting mineral growth and affecting physicochemical properties of hydrothermal chimneys

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2019.06.045","usgsCitation":"Gartman, A., Findlay, A.J., Hannington, M.D., Garbe-Schonberg, D., Jamieson, J.W., and Kwasnitschka, T., 2019, The role of nanoparticles in mediating element deposition and transport at hydrothermal vents: Geochimica et Cosmochimica Acta, v. 261, p. 113-131, https://doi.org/10.1016/j.gca.2019.06.045.","productDescription":"18 p.","startPage":"113","endPage":"131","ipdsId":"IP-104158","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459796,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2019.06.045","text":"Publisher Index Page"},{"id":368412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":" Niua South, Northeast Lau Basin","volume":"261","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":773423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Findlay, Alyssa J.","contributorId":215547,"corporation":false,"usgs":false,"family":"Findlay","given":"Alyssa","email":"","middleInitial":"J.","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":773424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hannington, Mark D.","contributorId":71768,"corporation":false,"usgs":true,"family":"Hannington","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":773425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garbe-Schonberg, Dieter","contributorId":201709,"corporation":false,"usgs":false,"family":"Garbe-Schonberg","given":"Dieter","email":"","affiliations":[{"id":36239,"text":"Institute for Geosciences, Kiel University","active":true,"usgs":false}],"preferred":false,"id":773426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jamieson, John W.","contributorId":201707,"corporation":false,"usgs":false,"family":"Jamieson","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":36238,"text":"Memorial University of Newfoundland St. John's","active":true,"usgs":false}],"preferred":false,"id":773427,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kwasnitschka, Tom","contributorId":201712,"corporation":false,"usgs":false,"family":"Kwasnitschka","given":"Tom","email":"","affiliations":[{"id":36241,"text":"GEOMAR Helmholtz Centre for Ocean Research Kiel","active":true,"usgs":false}],"preferred":false,"id":773428,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203250,"text":"70203250 - 2019 - Empirical estimation of natural geoelectric hazards","interactions":[],"lastModifiedDate":"2019-12-03T13:08:09","indexId":"70203250","displayToPublicDate":"2019-09-16T13:05:00","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Empirical estimation of natural geoelectric hazards","docAbstract":"

Geoelectric field time series can be estimated by convolving estimates of Earth‐surface impedance, such as those obtained from magnetotelluric survey measurements, with historical records of geomagnetic variation obtained at magnetic observatories. This straightforward procedure permits the mapping of geoelectric field variation during magnetic storms. Statistical analysis of the time series allows extrapolation to extreme‐value amplitudes, such as might be realized during an intense magnetic storm in the future. The development of these products is illustrated for the Mid‐Atlantic United States, using impedances obtained from EarthScope survey data and geomagnetic variation records obtained at the Fredericksburg observatory operated by the U.S. Geological Survey. For this region, 100‐year geoelectric exceedance amplitudes have a range of almost three orders of magnitude (from 0.04 V/km at a site in southern Pennsylvania to 24.29 V/km at a site in central Virginia), and they have significant geographic granularity, which is due to site‐to‐site differences in surface impedance (and subsurface electrical conductivity structure). Maps of 100‐year exceedance amplitudes resemble those of geoelectric amplitudes for the March 1989 magnetic storm, and, in that sense, the March 1989 storm resembles what might be loosely called a “100‐year” event.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geomagnetically induced currents from the sun to the power grid","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119434412.ch6","usgsCitation":"Love, J.J., Bedrosian, P.A., Kelbert, A., and Lucas, G.M., 2019, Empirical estimation of natural geoelectric hazards, chap. 6 of Geomagnetically induced currents from the sun to the power grid, p. 95-105, https://doi.org/10.1002/9781119434412.ch6.","productDescription":"11 p.","startPage":"95","endPage":"105","ipdsId":"IP-103190","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":369882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":761901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":761902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":761903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lucas, Greg M. 0000-0003-1331-1863","orcid":"https://orcid.org/0000-0003-1331-1863","contributorId":202808,"corporation":false,"usgs":true,"family":"Lucas","given":"Greg","email":"","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":761904,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208430,"text":"70208430 - 2019 - Reference intervals for blood-based biochemical analytes of southern Beaufort Sea polar bears ","interactions":[],"lastModifiedDate":"2020-02-09T12:35:43","indexId":"70208430","displayToPublicDate":"2019-09-16T12:34:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Reference intervals for blood-based biochemical analytes of southern Beaufort Sea polar bears ","docAbstract":"Accurate reference intervals (RI) for commonly measured blood-based analytes are essential for health monitoring programs. Baseline values for a panel of analytes can be used to monitor physiologic and pathophysiologic processes such as organ function, electrolyte balance, and protein catabolism. Our reference population includes 651 serum samples from polar bears (Ursus maritimus) from the southern Beaufort Sea subpopulation sampled in Alaska, USA, between 1983 - 2016. To establish RI for 13 biochemical analytes, we defined specific criteria for characterizing the reference population and relevant subgroups. To account for differences in seasonal life history characteristics, we determined separate RI for the spring and fall seasons, when prey availability and energetic requirements of bears differ. We established RI for five subgroups in spring based on sex, age class, and denning status, and three subgroups in fall based on sex and age class in females. Alkaline phosphatase activities were twice as high in subadult as in adult polar bears in spring (zmales = 4.08, Pmales < 0.001, zfemales = 3.90, Pfemales < 0.001), and did not differ between seasons. Denning females had significantly higher glucose concentrations than non-denning females (z = 4.94, P < 0.001), possibly reflecting differences in energy expenditure during lactation. Ten of the 13 analytes differed significantly between seasons in either males or females; however, the physiologic importance of these differences may be minimal. Establishing these RI allows for temporal monitoring of polar bear health in the southern Beaufort Sea and may prove useful for assessing and monitoring additional polar bear subpopulations in a changing Arctic environment.","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coz040","usgsCitation":"Fry, T., Friedrichs, K.R., Atwood, T.C., Duncan, C.G., Simac, K.S., and Goldberg, T., 2019, Reference intervals for blood-based biochemical analytes of southern Beaufort Sea polar bears : Conservation Physiology, v. 7, no. 1, coz040, 16 p., https://doi.org/10.1093/conphys/coz040.","productDescription":"coz040, 16 p.","ipdsId":"IP-104616","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":459802,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coz040","text":"Publisher Index Page"},{"id":437337,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OXCRJ6","text":"USGS data release","linkHelpText":"Southern Beaufort Sea Polar Bear Blood Based Analyte Data, 1983-2018"},{"id":372172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","geographicExtents":" {\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.0205078125,\n 69.19379976461904\n ],\n [\n -141.240234375,\n 71.91088787611527\n ],\n [\n -152.4462890625,\n 72.3157853052617\n ],\n [\n -159.4775390625,\n 72.71190310803662\n ],\n [\n -160.8837890625,\n 71.85622888185527\n ],\n [\n -159.5654296875,\n 70.48089578887483\n ],\n [\n -141.0205078125,\n 69.19379976461904\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Fry, Tricia","contributorId":222310,"corporation":false,"usgs":false,"family":"Fry","given":"Tricia","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":781847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedrichs, Kristen R.","contributorId":202228,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Kristen","email":"","middleInitial":"R.","affiliations":[{"id":36375,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, 2015 Linden Dr., Madison, WI 53706-1100, USA","active":true,"usgs":false}],"preferred":false,"id":781848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":781846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duncan, Colleen G.","contributorId":15512,"corporation":false,"usgs":false,"family":"Duncan","given":"Colleen","email":"","middleInitial":"G.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":781849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":781851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldberg, Tony","contributorId":211788,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","affiliations":[{"id":38319,"text":"UW Madison","active":true,"usgs":false}],"preferred":false,"id":781850,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70207301,"text":"70207301 - 2019 - Monitoring plans for Louisiana’s system-wide assessment and monitoring program (SWAMP). Version IV","interactions":[],"lastModifiedDate":"2019-12-16T12:34:16","indexId":"70207301","displayToPublicDate":"2019-09-16T11:54:07","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Monitoring plans for Louisiana’s system-wide assessment and monitoring program (SWAMP). Version IV","docAbstract":"

The System-Wide Assessment and Monitoring Program (SWAMP) has been envisioned as a long-term monitoring program to ensure a comprehensive network of coastal data collection activities is in place to support the development, implementation, and adaptive management of the coastal protection and restoration program within coastal Louisiana. The Coastwide Reference Monitoring System (CRMS) and Barrier Island Comprehensive Monitoring (BICM) programs have been implemented under SWAMP, while other aspects of system dynamics, including offshore and inland water-body boundary conditions, nontidal freshwater habitats, riverine conditions, risk status, and protection performance, are not presently the subject of CPRA-coordinated (Coastal Protection and Restoration Authority) monitoring. In order to implement these additional aspects of SWAMP, CPRA partnered with The Water Institute of the Gulf and others to develop 1) a programmatic monitoring plan for evaluating the effectiveness of the coastal protection and restoration program on a coastwide scale, and 2) basinwide monitoring plans that will incorporate the elements of the programmatic plan with specific data collection activities designed to capture effects within the basin. Monitoring plans were developed for Barataria Basin, Pontchartrain Region (includes Breton Sound, Pontchartrain and Mississippi River Delta Basins), and the western basins (Calcasieu-Sabine, Mermentau, Teche-Vermilion, Atchafalaya, and Terrebonne) for both the natural and human systems using a process to identify the monitoring variables, objectives, and sampling design. The monitoring variables and objectives identified fall under the general categories of weather and climate, biotic integrity, water quality, hydrology, physical terrain, population and demographics, housing and community characteristics, economy and employment, ecosystem dependency, residential properties protection, and critical infrastructure and essential services protection. A rigorous statistical analysis, examination of modeling needs, and thorough reviews of previous planning and monitoring efforts were conducted to develop the sampling designs for the natural and human system monitoring plans. The plan relies heavily on the use of existing data, thus, coordination with other agencies (e.g., LDEQ , LDWF) and CPRA’s existing monitoring programs (e.g., BICM, CRMS) is critical to the plan’s success. Implementation of the plans will require development of quality control and quality assurance protocols, specific standardized operating procedures for each of the data collection efforts, a data management plan, and a reporting framework to contribute to decision making and reducing uncertainty in management actions.

","language":"English","publisher":"Water Institute of the Gulf","usgsCitation":"Hemmerling, S., Baustian, M., Bienn, H., Dausman, A., Grace, A., Grimley, L., McInnis, A., Vingiello, M., Vu, H., Sable, S., Gentile, B., Lafargue, P., Hijuelos, A., Piazza, S., Stagg, C., Raynie, R., Haywood, E., and Khalid, S., 2019, Monitoring plans for Louisiana’s system-wide assessment and monitoring program (SWAMP). 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Huy","contributorId":221280,"corporation":false,"usgs":false,"family":"Vu","given":"Huy","email":"","affiliations":[],"preferred":false,"id":777622,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sable, Shaye","contributorId":147275,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","affiliations":[{"id":16816,"text":"Dynamic Solutions, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":777623,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gentile, Britt","contributorId":221281,"corporation":false,"usgs":false,"family":"Gentile","given":"Britt","email":"","affiliations":[],"preferred":false,"id":777624,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lafargue, Phillip","contributorId":221282,"corporation":false,"usgs":false,"family":"Lafargue","given":"Phillip","email":"","affiliations":[],"preferred":false,"id":777625,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hijuelos, Ann 0000-0003-0922-6754","orcid":"https://orcid.org/0000-0003-0922-6754","contributorId":201525,"corporation":false,"usgs":true,"family":"Hijuelos","given":"Ann","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":777626,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Piazza, Sarai 0000-0001-6962-9008 piazzas@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":169024,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","email":"piazzas@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":777627,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stagg, Camille 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":206064,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":777628,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Raynie, Richard C","contributorId":140898,"corporation":false,"usgs":false,"family":"Raynie","given":"Richard C","affiliations":[{"id":13608,"text":"Louisiana Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":777629,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Haywood, Edward","contributorId":194452,"corporation":false,"usgs":false,"family":"Haywood","given":"Edward","email":"","affiliations":[],"preferred":false,"id":777630,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Khalid, Syed","contributorId":221283,"corporation":false,"usgs":false,"family":"Khalid","given":"Syed","email":"","affiliations":[],"preferred":false,"id":777631,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70207203,"text":"70207203 - 2019 - Assessing beach and island habitat loss in the Chesapeake Bay and Delmarva coastal bay region, USA, through processing of Landsat TM and OLI imagery: A case study","interactions":[],"lastModifiedDate":"2019-12-13T06:21:24","indexId":"70207203","displayToPublicDate":"2019-09-16T09:52:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5098,"text":"Remote Sensing Applications: Society and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Assessing beach and island habitat loss in the Chesapeake Bay and Delmarva coastal bay region, USA, through processing of Landsat TM and OLI imagery: A case study","docAbstract":"Beaches and islands provide economic value to humans and critical habitat for breeding and foraging wildlife. These ecosystems, however, are being severely impacted by global climate change and sea level rise through increased erosion and frequency of inundation. The case study presented here aimed to document island loss in the Chesapeake Bay and Delmarva coastal bay region of the United States using image processing techniques within a GIS from 1986 to 2016. Satellite imagery from Landsat Thematic Mapper (TM) and Operational Land Imager (OLI) sensors were processed within ArcMap 10.5 to determine spatial and temporal trends in island and beach habitat. Calculation of unweighted Cohen’s Kappa showed that classified scenes were, on average, within the range of moderate agreement between the classified Landsat scenes and the validation imagery within Google Earth (0.539). Recommendations regarding existing beach habitat management and future supplementation were created based on these results. From 1986 to 2016, island area declined by over 1,200 hectares (ha) with agriculture/open field (all open vegetated spaces) declining by nearly 82% and beach, surprisingly, increasing nearly 2%. This study was the first to document Chesapeake Bay region-wide island loss beyond the mid-2000s. The accuracy of this study was limited slightly by the 30 m spatial resolution of the imagery used. This technique may be best suited for documenting trends on large islands and along the mainland coastline.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rsase.2019.100265","usgsCitation":"Marban, P., Mullinax, J.M., Resop, J.P., and Prosser, D.J., 2019, Assessing beach and island habitat loss in the Chesapeake Bay and Delmarva coastal bay region, USA, through processing of Landsat TM and OLI imagery: A case study: Remote Sensing Applications: Society and Environment, v. 16, 100265, 10 p., https://doi.org/10.1016/j.rsase.2019.100265.","productDescription":"100265, 10 p.","ipdsId":"IP-106458","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":370203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay, Delmarva Coastal Bays","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.0638427734375,\n 39.65222681530652\n ],\n [\n -76.6790771484375,\n 39.2832938689385\n ],\n [\n -77.14599609375,\n 38.272688535980976\n ],\n [\n -76.607666015625,\n 36.83127162140714\n ],\n [\n -75.9814453125,\n 36.787291466820015\n ],\n [\n -74.8553466796875,\n 38.40194908237822\n ],\n [\n -75.0640869140625,\n 38.84826438869913\n ],\n [\n -76.0638427734375,\n 39.65222681530652\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marban, Paul R.","contributorId":221168,"corporation":false,"usgs":false,"family":"Marban","given":"Paul R.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":777269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":777270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Resop, Jonathan P.","contributorId":221169,"corporation":false,"usgs":false,"family":"Resop","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":777271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":777268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207519,"text":"70207519 - 2019 - The first 3D conductivity model of the contiguous US: Reflections on geologic structure and application to induction hazards","interactions":[],"lastModifiedDate":"2019-12-23T07:54:17","indexId":"70207519","displayToPublicDate":"2019-09-16T07:47:49","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"The first 3D conductivity model of the contiguous US: Reflections on geologic structure and application to induction hazards","docAbstract":"Estimation of ground level geoelectric fields has been identified by the National Space Weather Action Plan as a key component of assessment and mitigation of space weather impacts on critical infrastructure. Estimates of spatially and temporally variable electric fields are used to generate statistically based hazard maps and show promise toward monitoring and responding to geomagnetic disturbances in near real‐time. One approach to geoelectric field estimation is to employ three‐dimensional (3D) Earth conductivity models. These data‐constrained conductivity models are the results of regional magnetotelluric inversions based primarily on NSF’s Earthscope USArray impedances, which to date cover ~60% of the contiguous United States. Here, we present the first‐ever composite conductivity model of the contiguous United States and describe its compilation from 3D regional conductivity models, a global mantle conductivity model, offshore bathymetry, and sediment thickness data. We discuss structures within the conductivity model and how they relate to the complex geologic tapestry of the continent. Finally, we discuss the utility of this synthesis model for estimation and mitigation of geomagnetically induced currents.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geomagnetically induced currents from the Sun to the power grid","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119434412.ch8","usgsCitation":"Kelbert, A., Bedrosian, P.A., and Murphy, B., 2019, The first 3D conductivity model of the contiguous US: Reflections on geologic structure and application to induction hazards, chap. 8 of Geomagnetically induced currents from the Sun to the power grid, p. 127-151, https://doi.org/10.1002/9781119434412.ch8.","productDescription":"25 p.","startPage":"127","endPage":"151","ipdsId":"IP-100625","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":370629,"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 -118.47656249999999,\n 32.24997445586331\n ],\n [\n -95.2734375,\n 23.885837699862005\n ],\n [\n -85.78125,\n 29.84064389983441\n ],\n [\n -79.8046875,\n 23.563987128451217\n ],\n [\n -79.8046875,\n 29.22889003019423\n ],\n [\n -74.8828125,\n 34.016241889667015\n ],\n [\n -66.09375,\n 42.293564192170095\n ],\n [\n -67.8515625,\n 47.27922900257082\n ],\n [\n -81.9140625,\n 42.293564192170095\n ],\n [\n -83.671875,\n 46.800059446787316\n ],\n [\n -93.1640625,\n 48.922499263758255\n ],\n [\n -122.6953125,\n 50.064191736659104\n ],\n [\n -125.5078125,\n 48.922499263758255\n ],\n [\n -126.5625,\n 40.17887331434696\n ],\n [\n -118.47656249999999,\n 32.24997445586331\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":778346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":778347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Benjamin S. 0000-0001-7636-3711","orcid":"https://orcid.org/0000-0001-7636-3711","contributorId":221483,"corporation":false,"usgs":false,"family":"Murphy","given":"Benjamin S.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":778348,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208839,"text":"70208839 - 2019 - Moving at the speed of flight: Dabbling duck-movement rates and the relationship with electronic tracking interval","interactions":[],"lastModifiedDate":"2020-03-03T07:37:16","indexId":"70208839","displayToPublicDate":"2019-09-16T07:33:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Moving at the speed of flight: Dabbling duck-movement rates and the relationship with electronic tracking interval","docAbstract":"Context. Effective wildlife management requires information on habitat and resource needs, which can be estimated with movement information and modelling energetics. One necessary component of avian models is flight speeds at multiple temporal scales. Technology has limited the ability to accurately assess flight speeds, leading to estimates of questionable accuracy, many of which have not been updated in almost a century.\n\nAims. We aimed to update flight speeds of ducks, and differentiate between migratory and non-migratory flight speeds, a detail that was unclear in previous estimates. We also analysed the difference in speeds of migratory and non-migratory flights, and quantified how data collected at different temporal intervals affected estimates of flight speed.\n\nMethods. We tracked six California dabbling duck species with high spatio-temporal resolution GPS–GSM transmitters, calculated speeds of different flight types, and modelled how estimates varied by flight and data interval (30 min to 6 h).\n\nKey results. Median migratory speeds were faster (but non-significant) for the larger mallard (Anas platyrhynchos; 82.5 km h–1), northern pintail (Anas acuta; 79.0 km h–1) and gadwall (Mareca strepera; 70.6 km h–1), than the smaller-bodied northern shoveler (Spatula clypeata; 65.7 km h–1), cinnamon teal (Spatula cyanoptera; 63.5 km h–1) and American wigeon (Mareca Americana; 52 km h–1). Migratory flights were faster than non-migratory flights for all species and speeds were consistently slower with an increasing data interval.\n\nImplications. The need to balance time and energy requirements may drive different speeds for migratory and non-migratory flights. Lower speeds at longer intervals are likely to be due to a greater proportion of ‘loafing’ time included in flighted segments, demonstrating that data acquired at different intervals provide a means to evaluate and estimate behaviours that influence speed estimation. Shorter-interval data should be the most accurate, but longer-interval data may be easier to collect over lengthier timeframes, so it may be expedient to trade-off a degree of accuracy in broad-scale studies for the larger dataset. Our updated flight speeds for dabbling duck species can be used to parameterise and validate energetics models, guide management decisions regarding optimal habitat distribution, and, ultimately, improve conservation management of wetlands for waterfowl.","language":"English","publisher":"CSIRO","doi":"10.1071/WR19028","usgsCitation":"McDuie, F., Casazza, M.L., Keiter, D.A., Overton, C.T., Herzog, M.P., Feldheim, C.L., and Ackerman, J., 2019, Moving at the speed of flight: Dabbling duck-movement rates and the relationship with electronic tracking interval: Wildlife Research, v. 46, no. 6, p. 533-543, https://doi.org/10.1071/WR19028.","productDescription":"11 p.","startPage":"533","endPage":"543","ipdsId":"IP-102666","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":459806,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wr19028","text":"Publisher Index Page"},{"id":372828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McDuie, Fiona 0000-0002-1948-5613","orcid":"https://orcid.org/0000-0002-1948-5613","contributorId":222936,"corporation":false,"usgs":true,"family":"McDuie","given":"Fiona","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keiter, David A.","contributorId":176521,"corporation":false,"usgs":false,"family":"Keiter","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":783586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feldheim, Cliff L.","contributorId":206561,"corporation":false,"usgs":false,"family":"Feldheim","given":"Cliff","email":"","middleInitial":"L.","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":783589,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":783590,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70205335,"text":"70205335 - 2019 - Characterizing large earthquakes before rupture is complete","interactions":[],"lastModifiedDate":"2019-09-17T07:50:15","indexId":"70205335","displayToPublicDate":"2019-09-16T00:24:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing large earthquakes before rupture is complete","docAbstract":"Whether large and very large earthquakes are distinguishable from each other early on in the rupture process has been a subject often debated over the past several decades. Studies have shown that the frequency content of radiated seismic energy in the first few seconds of an earthquake scales with the final magnitude of the event, implying determinism. Other studies have shown that the recordings of ground displacement from small-to-moderate sized earthquakes are indistinguishable, and thus earthquakes share a universal early rupture process. Regardless of how earthquakes start, however, at some point in the rupture process events of different sizes must be distinguishable from one another. If that difference occurs early - i.e., before the rupture duration of the smaller event - this implies that earthquakes demonstrate some level of determinism. Here we show through analysis of a large database of source time functions and near-source displacement records that after an initiation phase, ruptures of M7-9 earthquakes organize into a slip pulse, the kinematic properties of which scale with magnitude. As such, early in the rupture process - after about 10s - large and very large earthquakes demonstrate different properties and can thus be distinguished.","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.aav2032","usgsCitation":"Melgar, D., and Hayes, G.P., 2019, Characterizing large earthquakes before rupture is complete: Science Advances, v. 5, no. 5, eaav2032, https://doi.org/10.1126/sciadv.aav2032.","productDescription":"eaav2032","onlineOnly":"Y","ipdsId":"IP-105666","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":459808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aav2032","text":"Publisher Index Page"},{"id":367424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Melgar, Diego","contributorId":193030,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","email":"","affiliations":[],"preferred":false,"id":770877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":770878,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205336,"text":"70205336 - 2019 - Global earthquake response with imaging geodesy: recent examples from the USGS NEIC","interactions":[],"lastModifiedDate":"2019-09-16T09:14:10","indexId":"70205336","displayToPublicDate":"2019-09-15T23:12:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Global earthquake response with imaging geodesy: recent examples from the USGS NEIC","docAbstract":"The U.S. Geological Survey National Earthquake Information Center leads real-time efforts to provide rapid and accurate assessments of the impacts of global earthquakes, including estimates of ground shaking, ground failure, and the resulting human impacts. These efforts primarily rely on analysis of the seismic wavefield to characterize the source of the earthquake, which in turn informs a suite of disaster response products such as ShakeMap and PAGER. In recent years, the proliferation of rapidly acquired and openly available in-situ and remotely sensed geodetic observations has opened new avenues for responding to earthquakes around the world in the days following significant events. Geodetic observations, particularly from interferometric synthetic aperture radar (InSAR) and satellite optical imagery, provide a means to robustly constrain the dimensions and spatial complexity of earthquakes beyond what is typically possible with seismic observations alone. Here, we document recent cases where geodetic observations contributed important information to earthquake response efforts – from informing and validating seismically-derived source models to independently constraining earthquake impact products – and the conditions under which geodetic observations improve earthquake response products. We use examples from the 2013 Mw7.7 Baluchistan, Pakistan, 2014 Mw6.0 Napa, California, 2015 Mw7.8 Gorkha, Nepal, and 2018 Mw7.5 Palu, Indonesia earthquakes to highlight the varying ways geodetic observations have contributed to earthquake response efforts at the NEIC. We additionally provide a synopsis of the workflows implemented for geodetic earthquake response. As remote sensing geodetic observations become increasingly available and the frequency of satellite acquisitions continues to increase, operational earthquake geodetic imaging stands to make critical contributions to natural disaster response efforts around the world.","language":"English","publisher":"MDPI","doi":"10.3390/rs11111357","usgsCitation":"Barnhart, W.D., Hayes, G.P., and Wald, D.J., 2019, Global earthquake response with imaging geodesy: recent examples from the USGS NEIC: Remote Sensing, v. 11, no. 11, 1357, 20 p., https://doi.org/10.3390/rs11111357.","productDescription":"1357, 20 p.","onlineOnly":"Y","ipdsId":"IP-108767","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":459810,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11111357","text":"Publisher Index Page"},{"id":367423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnhart, William D. wbarnhart@usgs.gov","contributorId":5299,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":770879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":770880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":770881,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205360,"text":"70205360 - 2019 - Characterization and evaluation of controls on post-fire streamflow response across western U.S. watersheds","interactions":[],"lastModifiedDate":"2019-09-16T09:14:57","indexId":"70205360","displayToPublicDate":"2019-09-15T23:03:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Characterization and evaluation of controls on post-fire streamflow response across western U.S. watersheds","docAbstract":"This research investigates the impact of wildfires on watershed flow regimes, specifically focusing on evaluation of fire events within specified hydroclimatic regions in the western United States, and evaluating the impact of climate and geophysical variables on response. Eighty-two watersheds were identified with at least 10 years of continuous pre-fire daily streamflow records and 5 years of continuous post-fire daily flow records. Percent change in annual runoff ratio, low flows, high flows, peak flows, number of zero flow days, baseflow index, and Richards–Baker flashiness index were calculated for each watershed using pre- and post-fire periods. Independent variables were identified for each watershed and fire event, including topographic, vegetation, climate, burn severity, percent area burned, and soils data. \n\nResults show that low flows, high flows, and peak flows increase in the first 2 years following a wildfire and decrease over time. Relative response was used to scale response variables with the respective percent area of watershed burned in order to compare regional differences in watershed response. To account for variability in precipitation events, runoff ratio was used to compare runoff directly to PRISM precipitation estimates. To account for regional differences in climate patterns, watersheds were divided into nine regions, or clusters, through k-means clustering using climate data, and regression models were produced for watersheds grouped by total area burned. Watersheds in Cluster 9 (eastern California, western Nevada, Oregon) demonstrate a small negative response to observed flow regimes after fire. Cluster 8 watersheds (coastal California) display the greatest flow responses, typically within the first year following wildfire. Most other watersheds show a positive mean relative response. In addition, simple regression models show low correlation between percent watershed burned and streamflow response, implying that other watershed factors strongly influence response. \n\nSpearman correlation identified NDVI, aridity index, percent of a watershed's precipitation that falls as rain, and slope as being positively correlated with post-fire streamflow response. This metric also suggested a negative correlation between response and the soil erodibility factor, watershed area, and percent low burn severity. Regression models identified only moderate burn severity and watershed area as being consistently positively/negatively correlated, respectively, with response. The random forest model identified only slope and percent area burned as significant watershed parameters controlling response. \n\nResults will help inform post-fire runoff management decisions by helping to identify expected changes to flow regimes, as well as facilitate parameterization for model application in burned watersheds.","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-22-1221-2018","usgsCitation":"Saxe, S., Hogue, T.S., and Hay, L., 2019, Characterization and evaluation of controls on post-fire streamflow response across western U.S. watersheds: Hydrology and Earth System Sciences, v. 22, no. 2, p. 1221-1237, https://doi.org/10.5194/hess-22-1221-2018.","productDescription":"17 p.","startPage":"1221","endPage":"1237","numberOfPages":"17","ipdsId":"IP-090164","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":459812,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-22-1221-2018","text":"Publisher Index Page"},{"id":367422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"22","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Saxe, Samuel 0000-0003-1151-8908","orcid":"https://orcid.org/0000-0003-1151-8908","contributorId":215753,"corporation":false,"usgs":true,"family":"Saxe","given":"Samuel","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":770931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hogue, Terri S.","contributorId":205175,"corporation":false,"usgs":false,"family":"Hogue","given":"Terri","email":"","middleInitial":"S.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":770932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hay, Lauren E. 0000-0003-3763-4595","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":211478,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":770930,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205904,"text":"70205904 - 2019 - A process-based model of pre-eruption seismicity patterns and its use for eruption forecasting at dormant stratovolcanoes","interactions":[],"lastModifiedDate":"2019-10-28T14:27:48","indexId":"70205904","displayToPublicDate":"2019-09-15T12:48:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"A process-based model of pre-eruption seismicity patterns and its use for eruption forecasting at dormant stratovolcanoes","docAbstract":"Using long-term data sets, the eruptive size, timing and style can typically be successfully forecast for dormant volcanoes using current monitoring data and knowledge of precursory eruptive patterns. The USAID-USGS Volcano Disaster Assistance Program (VDAP) utilizes seismic data over multiple eruption cycles and across volcano types to successfully forecast eruption size, style and onset times, as well as changes within ongoing eruptions. From millions of seismic event observations, we show that seismic data, a proxy for rate-dependent strain changes in the magmatic system, combined with a process-based conceptual geologic model enables eruption forecasting, especially for stratovolcanoes dormant >20 years. We show that this model often works for some open systems, ones that sufficiently reseal to plug the conduit, and also where a deep intrusion occurs after phreatic or phreatomagmatic explosions have begun. This model is divided into four seismicity and geologic stages. We describe each of the four stages of seismicity in detail and how they relate to the ongoing geologic process of that stage: Stage 1. Deep intrusion and seismicity occurring at 10 to 40 + km depth below the volcanic edifice; Stage 2. Distal VT seismicity induced at distances from 2 to >30 km laterally from the summit by magma intruding into and inflating the upper-crustal magma storage region; Stage 3. Vent-clearing seismicity associated with the initial vent creation and clearing phase of eruptive activity. Stage 4. Repetitive event seismicity associated with the final ascent of magma from 2 km to the surface. We present 36 examples of this seismic progression from 26 volcanoes. We believe that this progression generally correlates with the magma flux and the eventual explosivity and is invaluable for forecasting eruptions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2019.03.004","usgsCitation":"White, R.A., and McCausland, W.A., 2019, A process-based model of pre-eruption seismicity patterns and its use for eruption forecasting at dormant stratovolcanoes: Journal of Volcanology and Geothermal Research, v. 382, p. 267-297, https://doi.org/10.1016/j.jvolgeores.2019.03.004.","productDescription":"31 p.","startPage":"267","endPage":"297","ipdsId":"IP-082435","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":459815,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2019.03.004","text":"Publisher Index Page"},{"id":368169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"382","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Randall A. 0000-0003-4074-8577 rwhite@usgs.gov","orcid":"https://orcid.org/0000-0003-4074-8577","contributorId":1993,"corporation":false,"usgs":true,"family":"White","given":"Randall","email":"rwhite@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":772819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCausland, Wendy A. 0000-0002-8683-1440","orcid":"https://orcid.org/0000-0002-8683-1440","contributorId":204380,"corporation":false,"usgs":true,"family":"McCausland","given":"Wendy","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":772820,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205833,"text":"70205833 - 2019 - 3-D seismic tomographic study of Sinabung Volcano, Northern Sumatra, Indonesia, during the inter-eruptive period October 2010-July 2013","interactions":[],"lastModifiedDate":"2019-10-28T14:28:12","indexId":"70205833","displayToPublicDate":"2019-09-15T07:47:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"3-D seismic tomographic study of Sinabung Volcano, Northern Sumatra, Indonesia, during the inter-eruptive period October 2010-July 2013","docAbstract":"We estimated 3D P-wave velocity (Vp), S-wave velocity (Vs), and Vp/Vs tomographic structures in and around the Sinabung Volcano area, Northern Sumatra, Indonesia during the intereruptive period between October 2010 and July 2013 using high-quality P- and S-wave phases from > 600 local volcano tectonic (VT) earthquakes and more than 5000 phase picks. We used the iteritive damped-least-squares method of SIMULPS12 to simultaneously invert for the velocity structure and hypocenter relocations. We find that the majority of the VT earthquakes locate beneath Sinabung volcano to depths of about 8 km, with distal hypocenters dominantly to the north and northwest of the summit. We find six anomalous regions with the most notable including an area of low seismicity, high Vp/Vs and low Vp at depths of around 5 km slightly south of the summit. We believe this anomaly most likely represents hot material with some partial melt that may be the source for the 2010 phreatic eruptions and continued unrest throughout the study period. We also find a region below the summit with high seismicity, high Vp, high Vs and low Vp/Vs that we believe likely represents old intrusive material that has been fractured by the processes of the 2010 phreatic eruptions. Other shallow anomalous values of Vp, Vs and Vp/Vs are consistent with the known geology of Sinabung: anomalies of high Vp and Vs likely represent old, well-consolidated rock, and are observed to the SW and NE of Sinabung; while low Vp, low Vs and high Vp/Vs likely represent increased fracture densities, temperatures, or gas contents in geothermal features to the west of the summit. Finally we compare our results to those of the tomographic study during the October to November 2013 eruptive period in Nugraha et al. (this issue) and find evidence that suggests magma rose from the lower region imaged in our study to within a few kilometers of the surface.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2019.03.001","usgsCitation":"Indrastuti, N., Nugraha, A.D., McCausland, W.A., Hendrasto, M., Gunawan, H., Kusnandar, R., Kasbani, K., and , K., 2019, 3-D seismic tomographic study of Sinabung Volcano, Northern Sumatra, Indonesia, during the inter-eruptive period October 2010-July 2013: Journal of Volcanology and Geothermal Research, v. 382, p. 197-209, https://doi.org/10.1016/j.jvolgeores.2019.03.001.","productDescription":"13 p.","startPage":"197","endPage":"209","ipdsId":"IP-099706","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":459818,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2019.03.001","text":"Publisher Index Page"},{"id":368084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368063,"type":{"id":15,"text":"Index 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Hendra","contributorId":194977,"corporation":false,"usgs":false,"family":"Gunawan","given":"Hendra","email":"","affiliations":[],"preferred":false,"id":772539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kusnandar, Ridwan","contributorId":204390,"corporation":false,"usgs":false,"family":"Kusnandar","given":"Ridwan","email":"","affiliations":[{"id":36929,"text":"Meteorological, Climatological, and Geophysical Agency, Denpasar, Indonesia","active":true,"usgs":false}],"preferred":false,"id":772543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasbani, K.","contributorId":217681,"corporation":false,"usgs":false,"family":"Kasbani","given":"K.","email":"","affiliations":[{"id":39684,"text":"CVGHM Indonesia","active":true,"usgs":false}],"preferred":false,"id":772540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":" Kristianto","contributorId":219553,"corporation":false,"usgs":false,"given":"Kristianto","email":"","affiliations":[{"id":34119,"text":"Center for Volcanology and Geological Hazard Mitigation","active":true,"usgs":false}],"preferred":false,"id":772541,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205835,"text":"70205835 - 2019 - Overview of the eruptions of Sinabung Volcano, 2010 and 2013-present, and details of the 2013 phreatomagmatic phase","interactions":[],"lastModifiedDate":"2019-10-28T14:28:39","indexId":"70205835","displayToPublicDate":"2019-09-15T07:46:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Overview of the eruptions of Sinabung Volcano, 2010 and 2013-present, and details of the 2013 phreatomagmatic phase","docAbstract":"A small phreatic eruption of Sinabung Volcano, North Sumatra on\nAugust 28, 2010, at 18:30 local time marked the first eruption in the\npast ~1200 years. The eruption took place from two small vents in the\nsouth crater area. Explosions and ash emissions from these vents\ngenerated multiple ash plumes that reached altitudes of up to 5 km during\nearly- to mid-September. By the end of September, only low level steam\nplumes were visible and the alert level was reduced from Level 4\n(highest) to Level 3. The 2010 eruption effectively ended at this time.\nBeginning two days after the initial 2010 eruption, activity of the\neruption has been monitoring continuously by a telemetered seismic\nnetwork surrounding the volcano and by remotely sensed observations. This\nmonitoring system was supplemented with a near-field continuous GPS\nnetwork, beginning in February 2011. Persistent fumarolic emissions\ncontinued for almost 3 years following the 2010 eruption, before a new\neruption began on 15 September 2013. This eruption continues to the\npresent. The ongoing eruption is divided into 5 major phases: 1)\nphreatomagmatic phase (July 2013 - 18 December 2013); 2) first dome and\ncollapse phase with pyroclastic density currents (PDCs; block-and-ash\nflows and related surges) to south (18 December 2013 - 10 January 2014);\n3) lava-flow and collapse phase (10 January 2014 - mid-September 2014);\n4) second lava dome and collapse phase with PDCs to south (mid-September\n2014 - July 2015); 5) lava dome collapse and ash explosion phase with\nPDCs to southeast and east (August 2015 - present). The volcano erupted\nintermittently during the early phreatomagmatic phase with small vertical\nash explosions. Then the eruption became increasingly vigorous with more\nrepetitive and intense vertical ash explosions during late October\nthrough November. The first small pyroclastic density currents (PDCs)\nbegan on November 1. These pyroclastic flows descended the southeastern\nflank to a distance of 2 km.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.08.005","usgsCitation":"Gunawan, H., , S., Budianto, A., , K., Prambada, O., McCausland, W.A., Pallister, J.S., and Iguchi, M., 2019, Overview of the eruptions of Sinabung Volcano, 2010 and 2013-present, and details of the 2013 phreatomagmatic phase: Journal of Volcanology and Geothermal Research, v. 382, p. 103-119, https://doi.org/10.1016/j.jvolgeores.2017.08.005.","productDescription":"17 p.","startPage":"103","endPage":"119","ipdsId":"IP-097468","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":459822,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2017.08.005","text":"Publisher Index 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Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gunawan, Hendra","contributorId":194977,"corporation":false,"usgs":false,"family":"Gunawan","given":"Hendra","email":"","affiliations":[],"preferred":false,"id":772545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":" Surono","contributorId":149582,"corporation":false,"usgs":false,"given":"Surono","email":"","affiliations":[],"preferred":false,"id":772546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budianto, Agus","contributorId":219554,"corporation":false,"usgs":false,"family":"Budianto","given":"Agus","email":"","affiliations":[{"id":37068,"text":"CVGHM","active":true,"usgs":false}],"preferred":false,"id":772547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":" Kristianto","contributorId":219553,"corporation":false,"usgs":false,"given":"Kristianto","email":"","affiliations":[{"id":34119,"text":"Center for Volcanology and Geological Hazard 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jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":772550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iguchi, Masato","contributorId":219556,"corporation":false,"usgs":false,"family":"Iguchi","given":"Masato","email":"","affiliations":[{"id":37321,"text":"University of Kyoto","active":true,"usgs":false}],"preferred":false,"id":772551,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205521,"text":"70205521 - 2019 - Relations of dissolved-oxygen variability, selected field constituents, and metabolism estimates to land use and nutrients in high-gradient Boston Mountain streams, Arkansas","interactions":[],"lastModifiedDate":"2020-09-02T12:43:52.51217","indexId":"70205521","displayToPublicDate":"2019-09-14T12:26:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Relations of dissolved-oxygen variability, selected field constituents, and metabolism estimates to land use and nutrients in high-gradient Boston Mountain streams, Arkansas","docAbstract":"

Continuous monitoring data can be extremely useful for assessing water quality conditions particularly for variables that exhibit dynamic diel swings such as dissolved oxygen. As a means of evaluating dissolved oxygen criteria used by the Arkansas Department of Environmental Quality (ADEQ) for assessing this stream class, we compared continuous dissolved oxygen (DO) data collected at five small- to moderate-sized (watersheds 10-100 mi2), high-gradient streams in the Boston Mountains distributed across a land-use and nutrient condition gradient. The current DO criteria employed by ADEQ for Boston Mountains streams >10 mi2 consists of both an exceedance rate and a magnitude, in which, streams may be considered 'impaired' if greater than 10% of DO measurements during a period of record are < 6 mg/L. The 10% exceedance rate, however, is a commonly used “default” value that requires independent testing for different ecoregion stream classifications. Our findings for the five Boston Mountain streams fit a general pattern established for other aquatic systems (e.g. larger streams, low-gradient streams, and lakes) where increasing land-use intensity generally results in increased nutrient concentrations, which can lead to stream eutrophication and increased DO variability. DO concentrations were < 6 mg/L for fewer than 4% of measurements at the two sites identified “a priori” as least disturbed by nutrient and land-use indices, while concentrations at the three sites identified as moderately and most disturbed were < 6 mg/L for 20 to 33% of measurements. These findings demonstrate that the 10% exceedance rate currently employed by ADEQ was effective at identifying various degrees of DO impairment in Boston Mountain streams. Our analysis also demonstrated that continuous pH and specific conductance data and estimates of stream metabolism were helpful for associating DO variability to anthropogenic or natural origins. Considerations that were useful for examining these relationships and evaluating ADEQ’s DO criteria should be applicable to DO studies in other locations where stream and geologic characteristics are like those of the Boston Mountains.

","language":"English","publisher":"Springer","doi":"10.1007/s10661-019-7737-0","usgsCitation":"Justus, B., Driver, L., Green, J., and Wentz, N., 2019, Relations of dissolved-oxygen variability, selected field constituents, and metabolism estimates to land use and nutrients in high-gradient Boston Mountain streams, Arkansas: Environmental Monitoring and Assessment, v. 10, no. 191, 632, 18 p., https://doi.org/10.1007/s10661-019-7737-0.","productDescription":"632, 18 p.","ipdsId":"IP-082531","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":367635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Oklahoma","otherGeospatial":"Big Creek stream, Illinois Bayou stream, South Fork Little Red stream, Town Branch stream, White River 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\"}}]}","volume":"10","issue":"191","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Justus, Billy 0000-0002-3458-9656 bjustus@usgs.gov","orcid":"https://orcid.org/0000-0002-3458-9656","contributorId":202148,"corporation":false,"usgs":true,"family":"Justus","given":"Billy","email":"bjustus@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driver, Lucas 0000-0003-2549-1849","orcid":"https://orcid.org/0000-0003-2549-1849","contributorId":219176,"corporation":false,"usgs":true,"family":"Driver","given":"Lucas","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, J.J.","contributorId":219175,"corporation":false,"usgs":false,"family":"Green","given":"J.J.","email":"","affiliations":[{"id":39966,"text":"Arkansas Dept Env. 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Quality","active":true,"usgs":false}],"preferred":false,"id":771496,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205385,"text":"70205385 - 2019 - Physically based estimation of rainfall thresholds triggering shallow landslides in volcanic slopes of southern Italy","interactions":[],"lastModifiedDate":"2019-09-17T08:50:30","indexId":"70205385","displayToPublicDate":"2019-09-14T08:49:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Physically based estimation of rainfall thresholds triggering shallow landslides in volcanic slopes of southern Italy","docAbstract":"On the 4th and 5th of March 2005, about 100 rainfall-induced landslides occurred along volcanic slopes of Camaldoli Hill in Naples, Italy. These started as soil slips in the upper substratum of incoherent and welded volcaniclastic deposits, then evolved downslope according to debris avalanche and debris flow mechanisms. This specific case of slope instability on complex volcaniclastic deposits remains poorly characterized and understood, although similar shallow landsliding phenomena have largely been studied in other peri-volcanic areas of the Campania region underlain by carbonate bedrock. Considering the landslide hazard in this urbanized area, this study focused on quantitatively advancing the understanding of the predisposing factors and hydrological conditions contributing to the initial landslide triggering. Borehole drilling, trial pits, dynamic penetrometer tests, topographic surveys, and infiltration tests were conducted on a slope sector of Camaldoli Hill to develop a geological framework model. Undisturbed soil samples were collected for laboratory testing to further characterize hydraulic and geotechnical properties of the soil units identified. In situ soil pressure head monitoring probes were also installed. A numerical model of two-dimensional variably saturated subsurface water flow was parameterized for the monitored hillslope using field and laboratory data. Based on the observed soil pressure head dynamics, the model was calibrated by adjusting the evapotranspiration parameters. This physically based hydrologic model was combined with an infinite-slope stability analysis to reconstruct the critical unsaturated/saturated conditions leading to slope failure. This coupled hydromechanical numerical model was then used to determine intensity–duration (I-D) thresholds for landslide initiation over a range of plausible rainfall intensities and topographic slope angles for the region. The proposed approach can be conceived as a practicable method for defining a warning criterion in urbanized areas threatened by rainfall-induced shallow landslides, given the unavailability of a consistent inventory of past landslide events that prevents a rigorous empirical analysis.","language":"English","publisher":"MDPI","doi":"10.3390/w11091915","usgsCitation":"Fusco, F., De Vita, P., Mirus, B.B., Baum, R.L., Allocca, V., Tufano, R., and Calcaterra, D., 2019, Physically based estimation of rainfall thresholds triggering shallow landslides in volcanic slopes of southern Italy: Water, v. 11, no. 9, Article 1915, https://doi.org/10.3390/w11091915.","productDescription":"Article 1915","ipdsId":"IP-102857","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":459825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w11091915","text":"Publisher Index 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PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Fusco, F. 0000-0002-6271-2228","orcid":"https://orcid.org/0000-0002-6271-2228","contributorId":219005,"corporation":false,"usgs":false,"family":"Fusco","given":"F.","email":"","affiliations":[{"id":39950,"text":"University of Napoli Federico II, Italy","active":true,"usgs":false}],"preferred":false,"id":770977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Vita, P.","contributorId":219006,"corporation":false,"usgs":false,"family":"De Vita","given":"P.","email":"","affiliations":[{"id":39950,"text":"University of Napoli Federico II, Italy","active":true,"usgs":false}],"preferred":false,"id":770978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":770979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":770980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allocca, V.","contributorId":149077,"corporation":false,"usgs":false,"family":"Allocca","given":"V.","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":770981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tufano, R.","contributorId":219007,"corporation":false,"usgs":false,"family":"Tufano","given":"R.","email":"","affiliations":[{"id":39950,"text":"University of Napoli Federico II, Italy","active":true,"usgs":false}],"preferred":false,"id":770982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Calcaterra, D. 0000-0002-3480-3667","orcid":"https://orcid.org/0000-0002-3480-3667","contributorId":219008,"corporation":false,"usgs":false,"family":"Calcaterra","given":"D.","email":"","affiliations":[{"id":39950,"text":"University of Napoli Federico II, Italy","active":true,"usgs":false}],"preferred":false,"id":770983,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70215199,"text":"70215199 - 2019 - Conservation easements and coastal armoring: Protecting sea turtle nesting habitat through property ownership","interactions":[],"lastModifiedDate":"2020-10-12T13:19:41.305048","indexId":"70215199","displayToPublicDate":"2019-09-14T08:16:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"Conservation easements and coastal armoring: Protecting sea turtle nesting habitat through property ownership","docAbstract":"

To determine the relationship between the intent of owners of homes located near sea turtle nesting beaches in the state of Florida to engage in coastal conservation easements (CCE), the theory of planned behavior (TPB), environmental identity (EI) and relevant demographics were analyzed. As CCEs are a novel application of a proven conservation tool, a statewide survey was administered to 1274 property owners living within a mile of a protected section of sea turtle nesting habitat (e.g. state park, preserve, wildlife refuge). Multiple linear regression showed coastal property owners were more likely to engage with a CCE if they believed they had the ability and opportunity, held positive attitudes about entering into a CCE, and identified more favorably with potential CCE motivators for property owners. These motivators include receiving assistance from a conservation organization to manage their beachfront land; conserving beach habitat; obtaining annual tax deductions; and trusting the organization administering a CCE. Knowing these motivators and demographics of coastal property owners can help aid coastal land conservationists in crafting strategies to conserve sea turtle nesting beaches.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2019.104944","usgsCitation":"Hill, M., Monroe, M., Carthy, R., Ankersen, T.T., and Kay, T.A., 2019, Conservation easements and coastal armoring: Protecting sea turtle nesting habitat through property ownership: Ocean and Coastal Management, v. 182, 104944, 9 p., https://doi.org/10.1016/j.ocecoaman.2019.104944.","productDescription":"104944, 9 p.","ipdsId":"IP-111352","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":379300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"182","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, M.K.","contributorId":242934,"corporation":false,"usgs":false,"family":"Hill","given":"M.K.","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":801147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monroe, M.C.","contributorId":242935,"corporation":false,"usgs":false,"family":"Monroe","given":"M.C.","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":801148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":801149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ankersen, Thomas T.","contributorId":242936,"corporation":false,"usgs":false,"family":"Ankersen","given":"Thomas","email":"","middleInitial":"T.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":801150,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kay, Tom A.","contributorId":242937,"corporation":false,"usgs":false,"family":"Kay","given":"Tom","email":"","middleInitial":"A.","affiliations":[{"id":48589,"text":"Alachua Conservation Trust","active":true,"usgs":false}],"preferred":false,"id":801151,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227523,"text":"70227523 - 2019 - Energetic status and bioelectrical impedance modeling of Arctic grayling Thymallus arcticus in interior Alaska Rivers","interactions":[],"lastModifiedDate":"2022-01-20T12:58:29.761524","indexId":"70227523","displayToPublicDate":"2019-09-14T06:53:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Energetic status and bioelectrical impedance modeling of Arctic grayling Thymallus arcticus in interior Alaska Rivers","docAbstract":"

The energetic status of fishes represents energy stored as protein and lipids and reflects the ability of an individual to reproduce, migrate, and transition through life stages, ultimately influencing survival. However, traditional measurement methods, while highly accurate, are time consuming, expensive, and lethal, and nonlethal methods such as condition factor may not adequately characterize energetic status. We collected 161 Arctic grayling (Thymallus arcticus) from four interior Alaska river basins with varying hydrologic regimes during early summer and autumn seasons, and used multiple regression and model selection to evaluate the efficacy of bioelectrical impedance analysis (BIA), a nonlethal condition assessment method, to predict percent dry mass and percent lipid content estimated from proximate analysis. We found that Arctic grayling energetic status varied across seasons, by sex, and fish from sites with spawning runs of Pacific salmon had higher energy content than those from sites without salmon, potentially due to the influence of salmon-derived food subsidies. Electrical measurements explained 82% and 80% of the variability in percent dry mass and percent total lipids, respectively, and top models showed high predictive performance (observed vs. predicted root mean squared error ≤2.2%). Overall, we found the BIA approach to provide rapid, precise, and non-lethal estimates of Arctic grayling body condition. Such an approach may be useful for future work to characterize Arctic grayling bioenergetics and monitor fish condition under a rapidly changing Arctic environment.


","language":"English","publisher":"Springer","doi":"10.1007/s10641-019-00910-6","usgsCitation":"Falke, J.A., Bailey, L.T., Fraley, K.M., Lunde, M.J., and Gryska, A.D., 2019, Energetic status and bioelectrical impedance modeling of Arctic grayling Thymallus arcticus in interior Alaska Rivers: Environmental Biology of Fishes, v. 102, p. 1337-1349, https://doi.org/10.1007/s10641-019-00910-6.","productDescription":"13 p.","startPage":"1337","endPage":"1349","ipdsId":"IP-098094","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":394567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -161.103515625,\n 62.32920841458002\n ],\n [\n -136.845703125,\n 62.32920841458002\n ],\n [\n -136.845703125,\n 67.85898479324493\n ],\n [\n -161.103515625,\n 67.85898479324493\n ],\n [\n -161.103515625,\n 62.32920841458002\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"102","noUsgsAuthors":false,"publicationDate":"2019-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Lauren T.","contributorId":271265,"corporation":false,"usgs":false,"family":"Bailey","given":"Lauren","email":"","middleInitial":"T.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":831239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraley, Kevin M.","contributorId":189243,"corporation":false,"usgs":false,"family":"Fraley","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":831240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lunde, Michael J.","contributorId":271266,"corporation":false,"usgs":false,"family":"Lunde","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":831241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gryska, Andrew D.","contributorId":271267,"corporation":false,"usgs":false,"family":"Gryska","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":56329,"text":"akfg","active":true,"usgs":false}],"preferred":false,"id":831242,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205868,"text":"70205868 - 2019 - A multi-indicator spatial similarity approach for evaluating ecological restoration scenarios","interactions":[],"lastModifiedDate":"2019-11-13T13:47:55","indexId":"70205868","displayToPublicDate":"2019-09-13T17:24:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A multi-indicator spatial similarity approach for evaluating ecological restoration scenarios","docAbstract":"

Context

The greater Everglades region in Florida (USA) is an area of wetlands that has been altered and reduced to 50% of its original area and faces multiple threats. Spatial landscape analysis can help guide a large and complex ecosystem restoration process, involving billions of dollars and multiple groups of stakeholders.

Objectives

To guide Everglades restoration efforts, we evaluated ecological performance of different hydrologic restoration scenarios using a novel technique, the structural similarity index (SSIM), which quantitatively compares similarity between pairs of gridded maps in terms of mean, variance, and covariance.

Methods

Using the SSIM, we evaluated system-wide performance of apple snails, American alligators, Great egrets, and long- and short-hydroperiod vegetation types under multiple restoration scenarios that varied in water management strategies, amounts of water storage, removal of levees and canals (decompartmentalization), and seepage control barriers. We then compared species and habitat responses under each restoration scenario to a target scenario simulating the historical, natural system.

Results

The SSIM approach provides a reliable means of scenario comparison, accounting for both the local magnitude and spatial structure of the underlying data. Our results demonstrated that decompartmentalization benefits the indicator species. In general, scenarios with increased water storage were closer to the target scenario.

Conclusions

This spatial comparison technique is useful for evaluating restoration efforts at multiple spatial scales, ranging from the entire ecosystem down to individual compartments or sub-compartments. The results can be used to inform management and restoration efforts and to guide policy for the greater Everglades area.

","language":"English","publisher":"Springer","doi":"10.1007/s10980-019-00904-w","usgsCitation":"Wiederholt, R., Paudel, R., Khare, Y., Davis, S.E., Naja, G., Romanach, S., Pearlstine, L., and Van Lent, T., 2019, A multi-indicator spatial similarity approach for evaluating ecological restoration scenarios: Landscape Ecology, v. 34, no. 11, p. 2557-2574, https://doi.org/10.1007/s10980-019-00904-w.","productDescription":"18 p.","startPage":"2557","endPage":"2574","ipdsId":"IP-105117","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":368134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.64764404296875,\n 25.100523057465217\n ],\n [\n -80.46112060546875,\n 25.100523057465217\n ],\n [\n -80.46112060546875,\n 25.98520595593358\n ],\n [\n -81.64764404296875,\n 25.98520595593358\n ],\n [\n -81.64764404296875,\n 25.100523057465217\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Wiederholt, Ruscena","contributorId":69464,"corporation":false,"usgs":true,"family":"Wiederholt","given":"Ruscena","affiliations":[],"preferred":false,"id":772722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paudel, Rajendara","contributorId":219628,"corporation":false,"usgs":false,"family":"Paudel","given":"Rajendara","email":"","affiliations":[],"preferred":false,"id":772723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khare, Yogesh","contributorId":219629,"corporation":false,"usgs":false,"family":"Khare","given":"Yogesh","email":"","affiliations":[],"preferred":false,"id":772724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Stephen E. III","contributorId":13113,"corporation":false,"usgs":true,"family":"Davis","given":"Stephen","suffix":"III","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":772725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naja, G.M.","contributorId":54039,"corporation":false,"usgs":true,"family":"Naja","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":772726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":216666,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772727,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearlstine, L.","contributorId":117285,"corporation":false,"usgs":true,"family":"Pearlstine","given":"L.","email":"","affiliations":[],"preferred":false,"id":772728,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Lent, Thomas","contributorId":213397,"corporation":false,"usgs":false,"family":"Van Lent","given":"Thomas","email":"","affiliations":[{"id":17761,"text":"Everglades Foundation","active":true,"usgs":false}],"preferred":false,"id":772729,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205313,"text":"70205313 - 2019 - Putative mitochondrial sex determination in the Bivalvia: Insights from a hybrid transcriptome assembly in freshwater mussels","interactions":[],"lastModifiedDate":"2019-10-10T06:36:14","indexId":"70205313","displayToPublicDate":"2019-09-13T14:38:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5062,"text":"Frontiers in Genetics","onlineIssn":"1664-8021","active":true,"publicationSubtype":{"id":10}},"title":"Putative mitochondrial sex determination in the Bivalvia: Insights from a hybrid transcriptome assembly in freshwater mussels","docAbstract":"

Bivalves exhibit an astonishing diversity of sexual systems, with genetic and environmental determinants of sex, and possibly the only example of mitochondrial genes influencing sex determination pathways in animals. In contrast to all other animal species in which strict maternal inheritance (SMI) of mitochondria is the rule, bivalves possess a system known as doubly uniparental inheritance (DUI) of mitochondria in which maternal and paternal mitochondria (and their corresponding female-transmitted or F mtDNA and male-transmitted or M mtDNA genomes) are transmitted within a species. Species with DUI also possess sex-associated mtDNA-encoded proteins (in addition to the typical set of 13), which have been hypothesized to play a role in sex determination. In this study, we analyzed the sex-biased transcriptome in gonads of two closely-related freshwater mussel species with different reproductive and mitochondrial transmission modes: the gonochoric, DUI species, Utterbackia peninsularis, and the hermaphroditic, SMI species, Utterbackia imbecillis. Through comparative analysis with other DUI and non-DUI bivalve transcriptomes already available, we identify common male and female-specific genes, as well as SMI and DUI-related genes, that are probably involved in sex determination and mitochondrial inheritance in this animal group. Our results contribute to the understanding of what could be the first animal sex determination system involving the mitochondrial genome

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fgene.2019.00840","usgsCitation":"Capt, C., Renaut, S., Stewart, D., Johnson, N., and Breton, S., 2019, Putative mitochondrial sex determination in the Bivalvia: Insights from a hybrid transcriptome assembly in freshwater mussels: Frontiers in Genetics, v. 10, 840, 13 p., https://doi.org/10.3389/fgene.2019.00840.","productDescription":"840, 13 p.","ipdsId":"IP-106802","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":459830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fgene.2019.00840","text":"Publisher Index Page"},{"id":367418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Suwanee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.97012329101562,\n 29.569351295613394\n ],\n [\n -82.92832374572754,\n 29.569351295613394\n ],\n [\n -82.92832374572754,\n 29.606819652257347\n ],\n [\n -82.97012329101562,\n 29.606819652257347\n ],\n [\n -82.97012329101562,\n 29.569351295613394\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Capt, Charlotte","contributorId":205385,"corporation":false,"usgs":false,"family":"Capt","given":"Charlotte","email":"","affiliations":[{"id":37091,"text":"Université de Montréal","active":true,"usgs":false}],"preferred":false,"id":770832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renaut, Sebastien","contributorId":218987,"corporation":false,"usgs":false,"family":"Renaut","given":"Sebastien","email":"","affiliations":[{"id":37091,"text":"Université de Montréal","active":true,"usgs":false}],"preferred":false,"id":770834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Donald","contributorId":205389,"corporation":false,"usgs":false,"family":"Stewart","given":"Donald","affiliations":[{"id":37092,"text":"Acadia University","active":true,"usgs":false}],"preferred":false,"id":770835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nathan A. 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":218986,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":770831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breton, Sophie 0000-0002-8286-486X","orcid":"https://orcid.org/0000-0002-8286-486X","contributorId":196560,"corporation":false,"usgs":false,"family":"Breton","given":"Sophie","email":"","affiliations":[],"preferred":false,"id":770833,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205528,"text":"70205528 - 2019 - Temperature thresholds for black mangrove (Avicennia germinans) freeze damage, mortality, and recovery in North America: Refining tipping points for range expansion in a warming climate","interactions":[],"lastModifiedDate":"2020-02-25T08:03:28","indexId":"70205528","displayToPublicDate":"2019-09-13T13:45:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Temperature thresholds for black mangrove (Avicennia germinans) freeze damage, mortality, and recovery in North America: Refining tipping points for range expansion in a warming climate","docAbstract":"Near the tropical‐temperate transition zone, warming winter temperatures are expected to facilitate the poleward range expansion of freeze‐sensitive tropical organisms. In coastal wetlands of eastern and central North America, freeze‐sensitive woody plants (mangroves) are expected to expand northward into regions currently dominated by freeze‐tolerant herbaceous salt marsh plants. To advance understanding of mangrove range expansion, there is a need to refine temperature thresholds for mangrove freeze damage, mortality, and recovery.\n\nWe integrated data from 38 sites spread across the mangrove range edge in the Gulf of Mexico and Atlantic coasts of North America, including data from a regional collaborative network — the Mangrove Migration Network. In 2018, an extreme freeze event affected 60% of these sites, with minimum temperatures ranging from 0 to ‐7°C.\n\nWe used temperature and vegetation data from before and after the freeze to quantify temperature thresholds for leaf damage, mortality, and biomass recovery of the black mangrove (Avicennia germinans) — the most freeze‐tolerant mangrove species in North America.\n\nFor A. germinans individuals near their northern range limit, our results indicate that temperature thresholds for leaf damage are close to ‐4°C, but temperature thresholds for mortality are closer to ‐7°C. Thresholds are expected to be warmer for more southern A. germinans individuals and for the other two common mangrove species in the region (Laguncularia racemosa and Rhizophora mangle). Regenerative buds allowed A. germinans to resprout and recover quickly from aboveground freeze damage. Hence, biomass recovery levels during the first post‐freeze growing season were 90, 78, 62, and 45% for temperatures of ‐4, ‐5, ‐6, and ‐7°C, respectively. Due to a combination of vigorous resprouting and new recruitment from propagules, we expect full recovery at most sites within 1‐3 years, assuming no further freeze events.\n\nSynthesis\n\nTo improve predictions of tropical range expansion in response to climate change, there is a need to better understand tropical species’ responses to winter temperature extremes. Collectively, our results refine temperature thresholds for A. germinans freeze damage, mortality, and recovery, which can improve predictions of mangrove range expansion and coastal wetland ecological transformations in a warming climate.","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13285","usgsCitation":"Osland, M., Day, R., Hall, C., Feher, L., Armitage, A.R., Cebrian, J., Dunton, K., Hughes, R., Kaplan, D., Langston, A.K., Macy, A., Weaver, C.A., Anderson, G.H., Cummins, K., Feller, I.C., and Snyder, C.M., 2019, Temperature thresholds for black mangrove (Avicennia germinans) freeze damage, mortality, and recovery in North America: Refining tipping points for range expansion in a warming climate: Journal of Ecology, v. 108, no. 2, p. 654-665, https://doi.org/10.1111/1365-2745.13285.","productDescription":"12 p.","startPage":"654","endPage":"665","ipdsId":"IP-106191","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research 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25.005972656239187\n ],\n [\n -79.013671875,\n 31.55981453201843\n ],\n [\n -97.91015624999999,\n 31.55981453201843\n ],\n [\n -97.91015624999999,\n 25.005972656239187\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"108","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":214842,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":771523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard 0000-0002-5959-7054","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":214840,"corporation":false,"usgs":true,"family":"Day","given":"Richard","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":771524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Courtney T. 0000-0003-0990-5212","orcid":"https://orcid.org/0000-0003-0990-5212","contributorId":176330,"corporation":false,"usgs":true,"family":"Hall","given":"Courtney T.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":771526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":215081,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":771525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armitage, Anna R.","contributorId":218913,"corporation":false,"usgs":false,"family":"Armitage","given":"Anna","email":"","middleInitial":"R.","affiliations":[{"id":39935,"text":"Texas A&M Galveston, Galveston, TX USA","active":true,"usgs":false}],"preferred":false,"id":771527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cebrian, Just","contributorId":218914,"corporation":false,"usgs":false,"family":"Cebrian","given":"Just","email":"","affiliations":[{"id":39936,"text":"Dauphin Island Sea Lab, Dauphin Island, AL USA","active":true,"usgs":false}],"preferred":false,"id":771528,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dunton, Kenneth H.","contributorId":171775,"corporation":false,"usgs":false,"family":"Dunton","given":"Kenneth H.","affiliations":[],"preferred":false,"id":771529,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hughes, 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Center","active":true,"usgs":true}],"preferred":true,"id":771535,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cummins, Karen","contributorId":218920,"corporation":false,"usgs":false,"family":"Cummins","given":"Karen","affiliations":[{"id":39939,"text":"Florida Forest Service, Tallahassee, FL USA","active":true,"usgs":false}],"preferred":false,"id":771536,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Feller, Ilka C.","contributorId":196519,"corporation":false,"usgs":false,"family":"Feller","given":"Ilka","email":"","middleInitial":"C.","affiliations":[{"id":28135,"text":"Smithsonian Environmental Research Center, Edgewater, MD","active":true,"usgs":false}],"preferred":false,"id":771537,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Snyder, Caitlin M.","contributorId":218921,"corporation":false,"usgs":false,"family":"Snyder","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":39940,"text":"Apalachicola National Estuarine Research Reserve, Eastpoint, FL USA","active":true,"usgs":false}],"preferred":false,"id":771538,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70204621,"text":"cir1457 - 2019 - National earthquake information center strategic plan, 2019–23","interactions":[],"lastModifiedDate":"2020-09-01T13:55:24.927546","indexId":"cir1457","displayToPublicDate":"2019-09-13T10:30:00","publicationYear":"2019","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":"1457","displayTitle":"National Earthquake Information Center Strategic Plan, 2019–23","title":"National earthquake information center strategic plan, 2019–23","docAbstract":"

Executive Summary

Damaging earthquakes occur regularly around the world; since the turn of the 20th century, hundreds of earthquakes have caused significant loss of life and (or) millions of dollars or more in economic losses. While most of these did not directly affect the United States and its Territories, by studying worldwide seismicity we can better understand how to mitigate the effects of earthquakes when they do occur within U.S. borders. Within the U.S. Government, this mandate falls on the U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC), which has the statutory responsibility for monitoring and reporting on earthquakes domestically and globally.

The NEIC has been operating since 1966, and throughout its history has been recognized as a world leader for earthquake information. For much of this time, NEIC has been cooperating with a number of regional seismic networks (RSNs) which operate in areas of heightened seismicity in the United States. In 2000, the Advanced National Seismic System (ANSS) was founded as a cooperative umbrella for earthquake-related data collection, analysis, and dissemination in the United States, thereby promoting advanced interoperability between the NEIC and RSN partners. The NEIC also cooperates and coordinates with dozens of global seismic networks. At present (2019), NEIC acquires real-time waveform data from more than 2,000 seismic stations worldwide, contributed from more than 130 seismic networks.

Since 2006, the NEIC has operated on a 24-hour, 7-days per week (24/7) basis, and reports on about 30,000 earthquakes per year. Soon after the occurrence of a significant global earthquake, notifications are issued to government representatives, aid agencies, the press, and members of the general public by the Earthquake Notification Service (ENS), electronic feeds, and through the USGS Earthquake Hazards Program (EHP) website. Event-specific web pages provide detailed source parameter information outlining the location and magnitude of the earthquake, including more detailed source characteristics like moment magnitude and focal mechanisms and finite fault solutions. Further, NEIC produces a suite of real-time situational awareness products, including ShakeMap, ShakeCast, Did-You-Feel-It? (DYFI?), and Prompt Assessment of Global Earthquakes for Response (PAGER), to characterize the shaking resulting from the earthquake and the impact it is likely to have on nearby populations and infrastructure. All of these products are ultimately archived in the ANSS Comprehensive Catalog (ComCat), hosted and served by the NEIC.

The NEIC also pursues an active research program to improve its ability to characterize earthquakes and understand their hazards. These efforts are all aimed at mitigating the risks of earthquakes to humankind.

To maintain its prominent position in earthquake monitoring, the NEIC must continue to evolve, concurrently improving its operations and 24/7 robustness, streamlining services and infrastructure, and keeping pace with research and innovation in the field of seismology. This document outlines how the NEIC might best achieve such goals, by describing specific avenues and opportunities for development in the next five years (2019–23).

Several key areas of operational and research focus are identified in this plan as being of the highest importance. First, NEIC must finalize improvements to its regional monitoring capabilities, including the implementation of a variety of improved earthquake detection and association algorithms. One of the most exciting avenues of recent research expansion in earthquake monitoring has involved the use of machine learning; NEIC must explore the benefits of machine learning for improved earthquake detection and source characterization. NEIC also needs to address issues related to the timeliness of earthquake information, exploring the benefits of distributing information as it becomes available, rather than when certain quality criteria are met. To that end, the incorporation of real-time Global Positioning System (GPS) data into the NEIC operational workflow will help improve the speed and accuracy of information for moderate-to-large earthquakes. Finally, NEIC should explore how to further expand and improve the quality and content of the products served during earthquake response efforts, including the generation of new earthquake sequence-specific products, adding an evolutionary component to earthquake information, and continued improvements to earthquake impact products.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1457","usgsCitation":"Hayes, G.P., Earle, P.S., Benz, H.M., Wald, D.J., and Yeck, W.L., 2019, National Earthquake Information Center strategic plan, 2019–23: U.S. Geological Survey Circular 1457, 17 p., https://doi.org/10.3133/cir1457.","productDescription":"vi, 20 p.","onlineOnly":"N","ipdsId":"IP-107447","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":367395,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1457/coverthb2.jpg"},{"id":367396,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1457/circ1457.pdf","text":"Report","size":"19.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1457"}],"contact":"

Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS 966
Denver, CO 80225

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-09-13","noUsgsAuthors":false,"publicationDate":"2019-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":770772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":770773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":767801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":767802,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":767803,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}