{"pageNumber":"66","pageRowStart":"1625","pageSize":"25","recordCount":10450,"records":[{"id":70210998,"text":"70210998 - 2020 - Assessing nest attentiveness of Common Terns via video cameras and temperature loggers","interactions":[],"lastModifiedDate":"2020-07-10T13:34:21.228537","indexId":"70210998","displayToPublicDate":"2020-07-08T08:32:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5641,"text":"Avian Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessing nest attentiveness of Common Terns via video cameras and temperature loggers","docAbstract":"While nest attentiveness plays a critical role in the reproductive success of avian species, little nest attentiveness data with high temporal resolution is available for many species. However, improvements in both video monitoring and temperature logging devices present an opportunity to improve our understanding of this aspect of avian behavior. To investigate nest attentiveness behaviors and evaluate the ability of these technologies to record the needed data we monitored 13 nests across two Common Tern (Sterna hirundo) breeding colonies with a paired video camera - temperature logger approach, while monitoring 63 additional nests with temperature loggers alone. We examined data respective to four times of day: Morning (civil dawn-11:59), Peak (12:00-16:00), Cooling (16:01-civil dusk), and Night (civil dusk-civil dawn). Our results show that while successful nests had mostly short duration off-bouts and maintained consistent nest attentiveness throughout the day, failed nests had dramatic reductions in nest attentiveness during the Cooling and Night periods (p < 0.05) with one colony experiencing repeated nocturnal abandonment due to predation pressure from a Great Horned Owl (Bubo virginianus). Incubation appeared to ameliorate ambient temperatures during Night, as nests were significantly warmer during Night when birds were on versus off the nest (p < 0.05). Meanwhile, off bouts during the Peak period occurred during higher ambient temperatures, perhaps due to adults leaving the nest during the hottest periods to perform belly soaking. Unfortunately, temperature logger data alone had limited ability to predict nest attentiveness status, with results highly dependent on time of day and bout duration. While our methods did not affect hatching success (p > 0.05) video-monitored nests did have significantly lower clutch sizes (p < 0.05). Despite the high-quality data recorded in this study, the logistical and potential biological complications reported suggest that careful planning is needed before these devices can be utilized.","language":"English","publisher":"Springer","doi":"10.1186/s40657-020-00208-7","usgsCitation":"Sullivan, J.D., Marban, P., Mullinax, J.M., Brinker, D.F., McGowan, P.C., Callahan, C., and Prosser, D., 2020, Assessing nest attentiveness of Common Terns via video cameras and temperature loggers: Avian Research, v. 11, 22, 18 p., https://doi.org/10.1186/s40657-020-00208-7.","productDescription":"22, 18 p.","ipdsId":"IP-110831","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456096,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40657-020-00208-7","text":"Publisher Index Page"},{"id":436887,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M7S70D","text":"USGS data release","linkHelpText":"Assessing Nest Attentiveness of Common Terns (Sterna hirundo) via Video Cameras and Temperature Loggers"},{"id":376251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2020-07-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, Jeffery D.","contributorId":202910,"corporation":false,"usgs":false,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":792376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":792378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":792379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinker, David F.","contributorId":207103,"corporation":false,"usgs":false,"family":"Brinker","given":"David","email":"","middleInitial":"F.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":792380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGowan, Petter C.","contributorId":228870,"corporation":false,"usgs":false,"family":"McGowan","given":"Petter","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":792381,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Callahan, Carl C.","contributorId":217953,"corporation":false,"usgs":false,"family":"Callahan","given":"Carl C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":792382,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":792377,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211037,"text":"70211037 - 2020 - Human behavioral response in the Ridgecrest earthquakes: Assessing immediate actions based on data from “Did You Feel It?”","interactions":[],"lastModifiedDate":"2020-08-26T19:21:00.635012","indexId":"70211037","displayToPublicDate":"2020-07-07T08:04:29","publicationYear":"2020","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}},"title":"Human behavioral response in the Ridgecrest earthquakes: Assessing immediate actions based on data from “Did You Feel It?”","docAbstract":"Human behavioral response to earthquake ground motion has long been a subject of multidisciplinary interest and research. In most versions of seismic intensity scales, human perceptions and behavior are one component of the assignment of intensity. Public health research has shown that actions taken during earthquakes have a significant impact on the incidence of injury or the maintenance of safety. Based on this research, emergency managers and organizations promoting emergency preparedness have advocated strategies such as drop, cover, and hold on (DCHO) and promoted this safety measure through public education and annual drills. The “Did You Feel It?” (DYFI) mapping system (see Data and Resources) based on an online questionnaire developed and maintained by the U.S. Geological Survey has provided opportunities for those who have experienced an earthquake to report this experience worldwide since 2004. The DYFI questionnaire, although designed to assign intensity, also contains questions regarding the behavior in which one has engaged during the earthquake. The questionnaire includes other important information that may elucidate behavioral response to earthquakes, including assigned intensity, emotional reaction, and whether damage occurred at the location where the earthquake was experienced. The very large number of people who completed DYFI questionnaires following the July 2019 Ridgecrest, California, earthquakes provides a robust dataset for analysis and suggests that as intensity and levels of fear increase, behavior becomes more active in terms of physical movement to locations of presumed safety. Among active responses including DCHO, going to a doorway, and running outside, DCHO was the least likely to be implemented. The study provides possible explanations for low participation in DCHO despite active campaigns to promote this strategy.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200159","usgsCitation":"Goltz, J.D., Park, H., Quitoriano, V., and Wald, D.J., 2020, Human behavioral response in the Ridgecrest earthquakes: Assessing immediate actions based on data from “Did You Feel It?”: Bulletin of the Seismological Society of America, v. 110, no. 4, p. 1589-1602, https://doi.org/10.1785/0120200159.","productDescription":"14 p.","startPage":"1589","endPage":"1602","ipdsId":"IP-118510","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":376275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.02612304687499,\n 35.380092992092145\n ],\n [\n -117.40539550781249,\n 35.380092992092145\n ],\n [\n -117.40539550781249,\n 35.8356283888737\n ],\n [\n -118.02612304687499,\n 35.8356283888737\n ],\n [\n -118.02612304687499,\n 35.380092992092145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-07-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Goltz, James D.","contributorId":198432,"corporation":false,"usgs":false,"family":"Goltz","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":792533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Park, Hyejeong","contributorId":228922,"corporation":false,"usgs":false,"family":"Park","given":"Hyejeong","email":"","affiliations":[{"id":41528,"text":"Department of Urban Management, Graduate School of Engineering, Kyoto University, Gokasho, Uji, Kyoto, Japan","active":true,"usgs":false}],"preferred":false,"id":792534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quitoriano, Vince 0000-0003-4157-1101 vinceq@usgs.gov","orcid":"https://orcid.org/0000-0003-4157-1101","contributorId":2582,"corporation":false,"usgs":true,"family":"Quitoriano","given":"Vince","email":"vinceq@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":792535,"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":792536,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210956,"text":"70210956 - 2020 - Accidental chlorophacinone exposure of lactating ewes: Clinical follow-up and human health dietary implications","interactions":[],"lastModifiedDate":"2020-08-04T14:22:37.376039","indexId":"70210956","displayToPublicDate":"2020-07-06T10:25:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1685,"text":"Food and Chemical Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Accidental chlorophacinone exposure of lactating ewes: Clinical follow-up and human health dietary implications","docAbstract":"

Anticoagulant rodenticides are widely used for rodent control in agricultural and urban settings. Their intense use can sometimes result in accidental exposure and even poisoning of livestock. Can milk, eggs or meat derived from such accidentally exposed animals be consumed by humans? Data on the pharmacokinetics of chlorophacinone in milk of accidentally exposed ewes were used to estimate the risk associated with its consumption. Three days after accidental ingestion, chlorophacinone was detected in plasma of 18 ewes, with concentrations exceeding 100 ng/mL in 11 animals. Chlorophacinone was detected in milk on day 2 post-exposure and remained quantifiable for at least 7 days in milk of these 11 ewes. Concentrations in milk were much lower than in plasma and decreased quickly (mean half-life of 2 days). This study demonstrated dose-dependent mammary transfer of ingested chlorophacinone. Variation in prothrombin time (PT) on Day 3 suggested that some of the ewes that ingested chlorophacinone may have been adversely affected, but PT did not facilitate estimation of the quantity of chlorophacinone consumed. Using safety factors described in the literature, consumption of dairy products derived from these ewes after a one-week withdrawal period would pose low risk to consumers.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.fct.2020.111518","usgsCitation":"Moriceau, M., Lefebvre, S., Fourel, I., Benoit, E., Rattner, B.A., and Lattard, V., 2020, Accidental chlorophacinone exposure of lactating ewes: Clinical follow-up and human health dietary implications: Food and Chemical Toxicology, v. 143, 111518, 8 p., https://doi.org/10.1016/j.fct.2020.111518.","productDescription":"111518, 8 p.","ipdsId":"IP-117861","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456122,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-02896032","text":"External Repository"},{"id":376204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","otherGeospatial":"Creuse","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 2.1816444396972656,\n 49.8414144408833\n ],\n [\n 2.177267074584961,\n 49.8511555306018\n ],\n [\n 2.1602725982666016,\n 49.84838837518499\n ],\n [\n 2.13409423828125,\n 49.84030737466178\n ],\n [\n 2.1294593811035156,\n 49.8284601793259\n ],\n [\n 2.140016555786133,\n 49.822092496921755\n ],\n [\n 2.1536636352539062,\n 49.82386445793168\n ],\n [\n 2.1800994873046875,\n 49.83593421526532\n ],\n [\n 2.1816444396972656,\n 49.8414144408833\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"143","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Lefebvre, Sebastien","contributorId":228855,"corporation":false,"usgs":false,"family":"Lefebvre","given":"Sebastien","email":"","affiliations":[{"id":41519,"text":"USC1233 RS2GP, INRA, VetAgro Sup, Univ Lyon, France","active":true,"usgs":false}],"preferred":false,"id":792283,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Fourel, Isabelle","contributorId":228856,"corporation":false,"usgs":false,"family":"Fourel","given":"Isabelle","email":"","affiliations":[{"id":41519,"text":"USC1233 RS2GP, INRA, VetAgro Sup, Univ Lyon, France","active":true,"usgs":false}],"preferred":false,"id":792284,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Benoit, Etienne","contributorId":228857,"corporation":false,"usgs":false,"family":"Benoit","given":"Etienne","email":"","affiliations":[{"id":41519,"text":"USC1233 RS2GP, INRA, VetAgro Sup, Univ Lyon, France","active":true,"usgs":false}],"preferred":false,"id":792285,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":792286,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Lattard, Virginie","contributorId":228858,"corporation":false,"usgs":false,"family":"Lattard","given":"Virginie","email":"","affiliations":[{"id":41519,"text":"USC1233 RS2GP, INRA, VetAgro Sup, Univ Lyon, France","active":true,"usgs":false}],"preferred":false,"id":792287,"contributorType":{"id":2,"text":"Editors"},"rank":6}],"authors":[{"text":"Moriceau, Meg-Anne","contributorId":228854,"corporation":false,"usgs":false,"family":"Moriceau","given":"Meg-Anne","affiliations":[{"id":41518,"text":"USC1233 RS2GP, INRA, VetAgro Sup, Univ Lyon, and CNITV, VetAgro Sup, France","active":true,"usgs":false}],"preferred":false,"id":792282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lefebvre, Sebastien","contributorId":228855,"corporation":false,"usgs":false,"family":"Lefebvre","given":"Sebastien","email":"","affiliations":[{"id":41519,"text":"USC1233 RS2GP, INRA, VetAgro Sup, Univ Lyon, France","active":true,"usgs":false}],"preferred":false,"id":792343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fourel, Isabelle","contributorId":228856,"corporation":false,"usgs":false,"family":"Fourel","given":"Isabelle","email":"","affiliations":[{"id":41519,"text":"USC1233 RS2GP, INRA, VetAgro Sup, Univ Lyon, France","active":true,"usgs":false}],"preferred":false,"id":792344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benoit, Etienne","contributorId":228857,"corporation":false,"usgs":false,"family":"Benoit","given":"Etienne","email":"","affiliations":[{"id":41519,"text":"USC1233 RS2GP, INRA, VetAgro Sup, Univ Lyon, France","active":true,"usgs":false}],"preferred":false,"id":792345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":792346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lattard, Virginie","contributorId":228858,"corporation":false,"usgs":false,"family":"Lattard","given":"Virginie","email":"","affiliations":[{"id":41519,"text":"USC1233 RS2GP, INRA, VetAgro Sup, Univ Lyon, France","active":true,"usgs":false}],"preferred":false,"id":792347,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70211541,"text":"70211541 - 2020 - Hydrologic modeling to examine the influence of the forestry reclamation approach and climate change on mineland hydrology","interactions":[],"lastModifiedDate":"2020-07-30T15:25:29.367702","indexId":"70211541","displayToPublicDate":"2020-07-05T10:18:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic modeling to examine the influence of the forestry reclamation approach and climate change on mineland hydrology","docAbstract":"

Forests in the Appalachian region of the U.S. are threatened by a variety of short- and long-term pressures, including climate change, invasive species, and resource extraction. Surface mining for coal is one of the most important drivers of land-use change in the region, reducing native forest cover, causing forest fragmentation, eliminating intact soil, and affecting water resources. The Forestry Reclamation Approach (FRA) has been demonstrated as a successful best practice for restoring forests on mine-impacted landscapes, but little information exists on how the practice will affect hydrologic processes. A study was initiated to examine soil-water movement, as in-situ saturated hydraulic conductivity (Ksat), combined with soil porosity to quantify the potential influence on streamflow of reclaimed mines relative to an unmined, forested control site in eastern Kentucky. We compared different reclamation techniques and time since reclamation to determine the extent to which hydrologic function can be restored. We also simulated evapotranspiration at the watershed scale as a function of reclamation technique for both historical and projected (2050) climate. Results indicate that conventional grassland reclamation critically changes how soil water transitions to streamflow, primarily due to Ksat variability that exceeds that measured for intact and FRA soils. Sites reclaimed using FRA exhibited a soil-water environment that was more similar to the unmined control. However, all reclaimed mine soils were thinner, retained and stored less soil water, and thus could provide less plant-available water during the growing season. The plant-available water stored in reclaimed landscapes may not be sufficient to support forest health and this is exacerbated by projected climate conditions. However, soil development under a combination of FRA techniques has the potential to mitigate this limitation.



","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.140605","usgsCitation":"Williamson, T.N., and Barton, C.D., 2020, Hydrologic modeling to examine the influence of the forestry reclamation approach and climate change on mineland hydrology: Science of the Total Environment, v. 743, 140605, 14 p., https://doi.org/10.1016/j.scitotenv.2020.140605.","productDescription":"140605, 14 p.","ipdsId":"IP-118671","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":456126,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.140605","text":"Publisher Index Page"},{"id":436895,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WG0WGQ","text":"USGS data release","linkHelpText":"Hydrologic simulations for Robinson Forest and Reclaimed Mineland Soils"},{"id":436894,"rank":0,"type":{"id":30,"text":"Data 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Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barton, Chris D. 0000-0003-0692-3079","orcid":"https://orcid.org/0000-0003-0692-3079","contributorId":236883,"corporation":false,"usgs":false,"family":"Barton","given":"Chris","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":794575,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210903,"text":"70210903 - 2020 - Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey","interactions":[],"lastModifiedDate":"2020-07-03T14:56:34.693731","indexId":"70210903","displayToPublicDate":"2020-07-02T13:07:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1550,"text":"Environmental Modeling & Assessment","onlineIssn":" 1573-296","printIssn":"1420-2026","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey","docAbstract":"

The US Geological Survey (USGS) is currently (2020) integrating its water science programs to better address the nation’s greatest water resource challenges now and into the future. This integration will rely, in part, on data from 10 or more intensively monitored river basins from across the USA. A team of USGS scientists was convened to develop a systematic, quantitative approach to prioritize candidate basins for this monitoring investment to ensure that, as a group, the 10 basins will support the assessment and forecasting objectives of the major USGS water science programs. Candidate basins were the level-4 hydrologic units (HUC04) with some of the smaller HUC04s being combined; median candidate-basin area is 46,600 km2. Candidate basins for the contiguous United States (CONUS) were grouped into 18 hydrologic regions. Ten geospatial variables representing land use, climate change, water use, water-balance components, streamflow alteration, fire risk, and ecosystem sensitivity were selected to rank candidate basins within each of the 18 hydrologic regions. The two highest ranking candidate basins in each of the 18 regions were identified as finalists for selection as “Integrated Water Science Basins”; final selection will consider input from a variety of stakeholders. The regional framework, with only one basin selected per region, ensures that as a group, the basins represent the range in major drivers of the hydrologic cycle. Ranking within each region, primarily based on anthropogenic stressors of water resources, ensures that settings representing important water-resource challenges for the nation will be studied.

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Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792056,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":792057,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70213287,"text":"70213287 - 2020 - Investigating the gene expression profiles of rehabilitated Florida manatees (Trichechus manatus latirostris) following red tide exposure","interactions":[],"lastModifiedDate":"2020-09-17T17:23:13.359026","indexId":"70213287","displayToPublicDate":"2020-07-02T12:17:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Investigating the gene expression profiles of rehabilitated Florida manatees (Trichechus manatus latirostris) following red tide exposure","title":"Investigating the gene expression profiles of rehabilitated Florida manatees (Trichechus manatus latirostris) following red tide exposure","docAbstract":"

To investigate a Florida manatee (Trichechus manatus latirostris) mortality event following a red tide bloom in Southwest Florida, an RNA sequencing experiment was conducted. Gene expression changes in white blood cells were assessed in manatees rescued from a red tide affected area (n = 4) and a control group (n = 7) using RNA sequencing. The genes with the largest fold changes were compared between the two groups to identify molecular pathways related to cellular and disease processes. In total, 591 genes (false discovery rate <0.05) were differentially expressed in the red tide group. Of these, 158 were upregulated and 433 were downregulated. This suggests major changes in white blood cell composition following an exposure to red tide. The most highly upregulated gene, Osteoclast associated 2C immunoglobulin-like receptor (OSCAR), was upregulated 12-fold. This gene is involved in initiating the immune response and maintaining a role in adaptive and innate immunity. The most highly downregulated gene, Piccolo presynaptic cytomatrix protein (PCLO), was downregulated by a factor of 977-fold. This gene is associated with cognitive functioning and neurotransmitter release. Downregulation of this gene in other studies was associated with neuronal loss and neuron synapse dysfunction. Among the cellular pathways that were most affected, immune response, including inflammation, wounds and injuries, cell proliferation, and apoptosis were the most predominant. The pathway with the most differentially expressed genes was the immune response pathway with 98 genes involved, many of them downregulated. Assessing the changes in gene expression associated with red tide exposure enhances our understanding of manatee immune response to the red tide toxins and will aid in the development of red tide biomarkers.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0234150","usgsCitation":"Lazensky, R., Hunter, M., Amador, D., Al-Khedery, B., Yu, F., Walsh, C., Gitzendanner, M.A., Tripp, K., Walsh, M., and Denslow, N., 2020, Investigating the gene expression profiles of rehabilitated Florida manatees (Trichechus manatus latirostris) following red tide exposure: PLoS ONE, v. 15, no. 7, e0234150, 14 p., https://doi.org/10.1371/journal.pone.0234150.","productDescription":"e0234150, 14 p.","ipdsId":"IP-080495","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":456150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0234150","text":"Publisher Index Page"},{"id":378522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","city":"Tampa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.6171875,\n 27.71149449264223\n ],\n [\n -82.37686157226562,\n 27.71149449264223\n ],\n [\n -82.37686157226562,\n 28.045318867211485\n ],\n [\n -82.6171875,\n 28.045318867211485\n ],\n [\n -82.6171875,\n 27.71149449264223\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lazensky, Rebecca","contributorId":240774,"corporation":false,"usgs":false,"family":"Lazensky","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":798950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":798951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amador, David M.","contributorId":240777,"corporation":false,"usgs":false,"family":"Amador","given":"David M.","affiliations":[],"preferred":false,"id":798952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Khedery, Basima","contributorId":240779,"corporation":false,"usgs":false,"family":"Al-Khedery","given":"Basima","email":"","affiliations":[],"preferred":false,"id":798953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yu, Fahong","contributorId":240782,"corporation":false,"usgs":false,"family":"Yu","given":"Fahong","affiliations":[],"preferred":false,"id":798954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walsh, Cathy","contributorId":240784,"corporation":false,"usgs":false,"family":"Walsh","given":"Cathy","email":"","affiliations":[],"preferred":false,"id":798955,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gitzendanner, Matthew A.","contributorId":240787,"corporation":false,"usgs":false,"family":"Gitzendanner","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":798956,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tripp, Katie","contributorId":240790,"corporation":false,"usgs":false,"family":"Tripp","given":"Katie","email":"","affiliations":[],"preferred":false,"id":798957,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walsh, Mike","contributorId":240792,"corporation":false,"usgs":false,"family":"Walsh","given":"Mike","email":"","affiliations":[],"preferred":false,"id":798958,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Denslow, Nancy D.","contributorId":200649,"corporation":false,"usgs":false,"family":"Denslow","given":"Nancy D.","affiliations":[],"preferred":false,"id":798959,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70216109,"text":"70216109 - 2020 - Characterizing benthic macroinvertebrate and algal biological condition gradient models for California wadeable Streams, USA","interactions":[],"lastModifiedDate":"2020-11-05T14:41:53.835194","indexId":"70216109","displayToPublicDate":"2020-07-02T08:03:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing benthic macroinvertebrate and algal biological condition gradient models for California wadeable Streams, USA","docAbstract":"

The Biological Condition Gradient (BCG) is a conceptual model that describes changes in aquatic communities under increasing levels of anthropogenic stress. The BCG helps decision-makers connect narrative water quality goals (e.g., maintenance of natural structure and function) to quantitative measures of ecological condition by linking index thresholds based on statistical distributions (e.g., percentiles of reference distributions) to expert descriptions of changes in biological condition along disturbance gradients. As a result, the BCG may be more meaningful to managers and the public than indices alone. To develop a BCG model, biological response to stress is divided into 6 levels of condition, represented as changes in biological structure (abundance and diversity of pollution sensitive versus tolerant taxa) and function. We developed benthic macroinvertebrate (BMI) and algal BCG models for California perennial wadeable streams to support interpretation of percentiles of reference-based thresholds for bioassessment indices (i.e., the California Stream Condition Index [CSCI] for BMI and the Algal Stream Condition Index [ASCI] for diatoms and soft-bodied algae). Two panels (one of BMI ecologists and the other of algal ecologists) each calibrated a general BCG model to California wadeable streams by first assigning taxa to specific tolerance and sensitivity attributes, and then independently assigning test samples (264 BMI and 248 algae samples) to BCG Levels 1–6. Consensus on the assignments was developed within each assemblage panel using a modified Delphi method. Panels then developed detailed narratives of changes in BMI and algal taxa that correspond to the 6 BCG levels. Consensus among experts was high, with 81% and 82% expert agreement within 0.5 units of assigned BCG level for BMIs and algae, respectively. According to both BCG models, the 10th percentiles index scores at reference sites corresponded to a BCG Level 3, suggesting that this type of threshold would protect against moderate changes in structure and function while allowing loss of some sensitive taxa. The BCG provides a framework to interpret changes in aquatic biological condition along a gradient of stress. The resulting relationship between index scores and BCG levels and narratives can help decision-makers select thresholds and communicate how these values protect aquatic life use goals.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2020.106618","usgsCitation":"Paul, M.J., Jessup, B., Brown, L.R., Carter, J., Cantonati, M., Charles, D.F., Gerritsen, J., Herbst, D., Stancheva, R., Howard, J.K., Isham, B., Lowe, R., Mazor, R., Mendez, P.K., Ode, P., O’Dowd, A., Pan, Y., Rehn, A.C., Spaulding, S.A., Sutula, M., and Theroux, S., 2020, Characterizing benthic macroinvertebrate and algal biological condition gradient models for California wadeable Streams, USA: Ecological Indicators, v. 117, 106618, 12 p., https://doi.org/10.1016/j.ecolind.2020.106618.","productDescription":"106618, 12 p.","ipdsId":"IP-112075","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":456163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2020.106618","text":"Publisher Index 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Drexel University, Patrick Center for Environmental Research, Philadelphia","active":true,"usgs":false}],"preferred":false,"id":804117,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gerritsen, Jeroen 0000-0002-4455-1088","orcid":"https://orcid.org/0000-0002-4455-1088","contributorId":216564,"corporation":false,"usgs":false,"family":"Gerritsen","given":"Jeroen","email":"","affiliations":[],"preferred":false,"id":804118,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herbst, Dave","contributorId":244532,"corporation":false,"usgs":false,"family":"Herbst","given":"Dave","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":804119,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stancheva, Rosalina","contributorId":244533,"corporation":false,"usgs":false,"family":"Stancheva","given":"Rosalina","email":"","affiliations":[{"id":48930,"text":"University of California, San Marcos","active":true,"usgs":false}],"preferred":false,"id":804120,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Howard, Jeanette K.","contributorId":176714,"corporation":false,"usgs":false,"family":"Howard","given":"Jeanette","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":804121,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Isham, Bill","contributorId":244540,"corporation":false,"usgs":false,"family":"Isham","given":"Bill","email":"","affiliations":[],"preferred":false,"id":804132,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lowe, Rex","contributorId":244541,"corporation":false,"usgs":false,"family":"Lowe","given":"Rex","email":"","affiliations":[],"preferred":false,"id":804133,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mazor, Raphael D","contributorId":120256,"corporation":false,"usgs":true,"family":"Mazor","given":"Raphael 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Yangdong","contributorId":52865,"corporation":false,"usgs":true,"family":"Pan","given":"Yangdong","email":"","affiliations":[],"preferred":false,"id":804138,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rehn, Andrew C.","contributorId":47650,"corporation":false,"usgs":true,"family":"Rehn","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":804139,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Spaulding, Sarah A. 0000-0002-9787-7743 sspaulding@usgs.gov","orcid":"https://orcid.org/0000-0002-9787-7743","contributorId":1157,"corporation":false,"usgs":true,"family":"Spaulding","given":"Sarah","email":"sspaulding@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":804140,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Sutula, Martha","contributorId":191008,"corporation":false,"usgs":false,"family":"Sutula","given":"Martha","email":"","affiliations":[],"preferred":false,"id":804141,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Theroux, Susanna","contributorId":244544,"corporation":false,"usgs":false,"family":"Theroux","given":"Susanna","affiliations":[],"preferred":false,"id":804142,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70219457,"text":"70219457 - 2020 - Combining ash analyses with remote sensing to identify juvenile magma involvement and fragmentation mechanisms during the 2018/19 small eruption of Peteroa volcano (Southern Andes)","interactions":[],"lastModifiedDate":"2021-04-08T12:51:11.345441","indexId":"70219457","displayToPublicDate":"2020-07-02T07:48:01","publicationYear":"2020","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":"Combining ash analyses with remote sensing to identify juvenile magma involvement and fragmentation mechanisms during the 2018/19 small eruption of Peteroa volcano (Southern Andes)","docAbstract":"

The Planchón Peteroa Volcanic Complex (PPVC) is located on the border of Chile and Argentina, and is one of the most active volcanic systems in the Andes. Holocene activity has included magma-water interaction with an evolving series of crater lakes, mainly sourced from Peteroa volcano. This study examines data from the 2018/19 eruption, together with the volcanic history of the PPVC, to elucidate the complex interplay between magmatic activity and summit water and ice. From February 2016 to mid-2019, three seismic swarms occurred in the PPVC, preceding the explosive eruption from September 2018 to April 2019. The activity originated from a small vent nested within the easternmost crater, the most active portion of the complex (Peteroa). The explosions interacted with a crater lake, producing ash plumes up to 2 km above the crater and building a small tephra cone. To investigate the eruption mechanisms, we performed remote sensing analysis of plume dispersal, thermal anomalies and ground deformation, and characterized the volcanic products, including grain size, componentry, morphology, internal textures, composition and mineralogy. Our results suggest that the precursory seismicity beginning in 2016 was related to the intrusion of a new magma batch that reached the surface during the 2018/19 eruption. The eruption was also preceded by thermal anomalies, geomorphic changes and increased hydrothermal activity at the surface, though without any ground deformation recognized through radar interferometry (InSAR). The eruption initially produced predominantly recycled ash (phreatic activity), then evolved to increasing proportions of juvenile magma (phreatomagmatic) by April 2019. The juvenile clasts had a trachyandesite composition (~59 wt% SiO2), with vesicular and dense scoria containing plagioclase and pyroxene. The ash surfaces show external quenching cracks and step fractures consistent with phreatomagmatic fragmentation within the active crater lake. Textural characteristics also point to a slowly ascending batch of magma that was relatively viscous by the time it interacted with water in the crater lake. Notably, these juvenile particles are distinctive from the pre-2018 products. Ash erupted from 2010/11 did not contain recognizable juvenile material, and is inferred to have been a mainly phreatic eruption. Our findings suggest that the interplay between phreatic and phreatomagmatic eruptions fed by small magma batches intruding at shallow levels characterize much of the eruptive behavior of the PPVC during the last three decades. Multi-parametric assessment is a powerful tool to discriminate between phreatic and phreatomagmatic eruptions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2020.106984","usgsCitation":"Romero, J.E., Aguilera, F., Delgado, F., Guzman, D., Van Eaton, A.R., Luengo, N., Caro, J., Bustillos, J., Guevara, A., Holbik, S., Tormey, D., and Zegarra, I., 2020, Combining ash analyses with remote sensing to identify juvenile magma involvement and fragmentation mechanisms during the 2018/19 small eruption of Peteroa volcano (Southern Andes): Journal of Volcanology and Geothermal Research, v. 405, 106984, 20 p., https://doi.org/10.1016/j.jvolgeores.2020.106984.","productDescription":"106984, 20 p.","ipdsId":"IP-119001","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":384925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Southern Andes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.8828125,\n -54.572061655658516\n ],\n [\n -70.048828125,\n -54.572061655658516\n ],\n [\n -70.048828125,\n -30.751277776257812\n ],\n [\n -74.8828125,\n -30.751277776257812\n ],\n [\n -74.8828125,\n -54.572061655658516\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"405","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Romero, Jorge E","contributorId":256985,"corporation":false,"usgs":false,"family":"Romero","given":"Jorge","email":"","middleInitial":"E","affiliations":[{"id":51937,"text":"The University of Manchester, UK","active":true,"usgs":false}],"preferred":false,"id":813643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aguilera, Felipe","contributorId":256986,"corporation":false,"usgs":false,"family":"Aguilera","given":"Felipe","email":"","affiliations":[{"id":51939,"text":"Universidad de Atacama, Chile","active":true,"usgs":false}],"preferred":false,"id":813644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delgado, Francisco","contributorId":174989,"corporation":false,"usgs":false,"family":"Delgado","given":"Francisco","affiliations":[],"preferred":false,"id":813645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guzman, Danny","contributorId":256987,"corporation":false,"usgs":false,"family":"Guzman","given":"Danny","email":"","affiliations":[{"id":51939,"text":"Universidad de Atacama, Chile","active":true,"usgs":false}],"preferred":false,"id":813646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813647,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luengo, Nicolas","contributorId":256988,"corporation":false,"usgs":false,"family":"Luengo","given":"Nicolas","email":"","affiliations":[{"id":51941,"text":"Departamento de Ciencias de la Tierra, Universidad de Concepción, Concepción, Chile","active":true,"usgs":false}],"preferred":false,"id":813648,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caro, Javiera","contributorId":256989,"corporation":false,"usgs":false,"family":"Caro","given":"Javiera","email":"","affiliations":[{"id":51942,"text":"Universidad Católica del Norte, Avenida Angamos 0610, Antofagasta, Chile","active":true,"usgs":false}],"preferred":false,"id":813649,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bustillos, Jorge","contributorId":256990,"corporation":false,"usgs":false,"family":"Bustillos","given":"Jorge","email":"","affiliations":[{"id":51943,"text":"Escuela de Geología, Universidad Central de Ecuador, Quito, Ecuador","active":true,"usgs":false}],"preferred":false,"id":813650,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guevara, Alicia","contributorId":256991,"corporation":false,"usgs":false,"family":"Guevara","given":"Alicia","email":"","affiliations":[{"id":51944,"text":"Escuela Politécnica Nacional, Quito, Ecuador","active":true,"usgs":false}],"preferred":false,"id":813651,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holbik, Sven","contributorId":256992,"corporation":false,"usgs":false,"family":"Holbik","given":"Sven","email":"","affiliations":[{"id":51945,"text":"Valencia College, Florida USA","active":true,"usgs":false}],"preferred":false,"id":813652,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tormey, Daniel","contributorId":256993,"corporation":false,"usgs":false,"family":"Tormey","given":"Daniel","email":"","affiliations":[{"id":51946,"text":"Catalyst Environmental Solutions, California, United States","active":true,"usgs":false}],"preferred":false,"id":813653,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zegarra, Iver","contributorId":256994,"corporation":false,"usgs":false,"family":"Zegarra","given":"Iver","email":"","affiliations":[{"id":51947,"text":"Universidad Católica del Norte, Chile","active":true,"usgs":false}],"preferred":false,"id":813654,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70211872,"text":"70211872 - 2020 - Regionally continuous Miocene rhyolites beneath the eastern Snake River Plain reveal localized flexure at its western margin: Idaho National Laboratory and vicinity","interactions":[],"lastModifiedDate":"2020-12-15T20:23:40.067951","indexId":"70211872","displayToPublicDate":"2020-07-01T16:07:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6000,"text":"The Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Regionally continuous Miocene rhyolites beneath the eastern Snake River Plain reveal localized flexure at its western margin: Idaho National Laboratory and vicinity","docAbstract":"The eastern Snake River Plain (ESRP) is a northeast-trending topographic basin interpreted to be the result of the time-transgressive track of the North American plate above the Yellowstone hotspot. The track is defined by the age progression of silicic volcanic rocks exposed along the margins of the ESRP. However, the bulk of these silicic rocks are buried under 1 to 3 kilometers of younger basalts. Here, silicic volcanic rocks recovered from boreholes that penetrate below the basalts, including INEL-1, WO-2 and new deep borehole USGS-142, are correlated with one another and to surface exposures to assess various models for ESRP subsidence. These correlations are established on U/Pb zircon and 40Ar/39Ar sanidine age determinations, phenocryst assemblages, major and trace element geochemistry, δ18O isotopic data from selected phenocrysts, and initial εHf values of zircon. These data suggest a correlation of: (1) the newly documented 8.1 ± 0.2 Ma rhyolite of Butte Quarry (sample 17KS03), exposed near Arco, Idaho to the upper-most Picabo volcanic field rhyolites found in borehole INEL-1; (2) the 6.73 ± 0.02 Ma East Arco Hills rhyolite (sample 16KS02) to the Blacktail Creek Tuff, which was also encountered at the bottom of borehole WO-2; and (3) the 6.42 ± 0.07 Ma rhyolite of borehole USGS-142 to the Walcott Tuff B encountered in deep borehole WO-2. These results show that rhyolites found along the western margin of the ESRP dip ~20º south-southeast toward the basin axis, and then gradually tilt less steeply in the subsurface as the axis is approached. This subsurface pattern of tilting is consistent with a previously proposed crustal flexural model of subsidence based only on surface exposures, but is inconsistent with subsidence models that require accommodation of ESRP subsidence on either a major normal fault or strike-slip fault.","language":"English","publisher":"Rocky Mountain Association of Geologists","doi":"10.31582/rmag.mg.57.3.241","usgsCitation":"Schusler, K.L., Pearson, D.M., McCurry, M.J., Bartholomay, R.C., and Anders, M.H., 2020, Regionally continuous Miocene rhyolites beneath the eastern Snake River Plain reveal localized flexure at its western margin: Idaho National Laboratory and vicinity: The Mountain Geologist, v. 57, no. 3, p. 241-270, https://doi.org/10.31582/rmag.mg.57.3.241.","productDescription":"30 p.","startPage":"241","endPage":"270","ipdsId":"IP-112371","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":377936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.18002319335938,\n 43.41302868475145\n ],\n [\n -111.93145751953125,\n 43.41302868475145\n ],\n [\n -111.93145751953125,\n 43.55651037504758\n ],\n [\n -112.18002319335938,\n 43.55651037504758\n ],\n [\n -112.18002319335938,\n 43.41302868475145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schusler, Kyle L.","contributorId":237858,"corporation":false,"usgs":false,"family":"Schusler","given":"Kyle","email":"","middleInitial":"L.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":795484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, David M.","contributorId":237860,"corporation":false,"usgs":false,"family":"Pearson","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":795485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCurry, Michael J.","contributorId":237861,"corporation":false,"usgs":false,"family":"McCurry","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":795486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":795487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anders, Mark H.","contributorId":237862,"corporation":false,"usgs":false,"family":"Anders","given":"Mark","email":"","middleInitial":"H.","affiliations":[{"id":39266,"text":"St. Lawrence University","active":true,"usgs":false}],"preferred":false,"id":795488,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228141,"text":"70228141 - 2020 - Defining the need for genetic stock assignment when describing stock demographics and dynamics: An example using Lake Whitefish in Lake Michigan","interactions":[],"lastModifiedDate":"2022-02-04T16:50:01.408572","indexId":"70228141","displayToPublicDate":"2020-07-01T10:39:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Defining the need for genetic stock assignment when describing stock demographics and dynamics: An example using Lake Whitefish in Lake Michigan","docAbstract":"

Genetic stock assignment is not routinely used when describing the dynamics and demographics of individual stocks supporting mixed-stock fisheries, and capture location and timing are often used as alternative assignment methods. However, variation in stock demographics and dynamics may not be accounted for if stock assignments based on capture location or timing do not accurately reflect genetic assignments. We used Lake Whitefish Coregonus clupeaformis in Lake Michigan as a model fishery to determine whether stock mixing could undermine efforts to describe stock status when using October capture location as a proxy for genetic stock assignment. Accuracy of stock assignments based on October capture location ranged from 54% to 100% among management zones. Metrics describing length and age distributions, weight at length, fecundity, and growth varied among genetic stocks. Stock-specific metrics were typically similar between stock assignment methods (capture location versus genetics) because only one or two genetic stocks were collected in most locations and the majority of those fish were from spatially proximal stocks with similar metrics. However, more extensive mixing of Lake Whitefish stocks has been documented; thus, using capture location for stock assignment could result in incorrect conclusions regarding stock status and harvest management depending on stock composition. Ambiguity in genetic stock assignments was a problem in two management zones, where between 23% and 42% of Lake Whitefish did not assign to a specific stock with a probability of at least 0.70. In the future, using genomic techniques rather than microsatellites may provide different conclusions regarding genetic stock structure; these differences could affect the accuracy of using capture location for stock assignment. Use of capture location as a proxy for genetic stock assignment may not be warranted for all mixed-stock fisheries but may be appropriate when stock mixing is limited or is restricted to stocks with consistently similar characteristics.

","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10235","usgsCitation":"Isermann, D.A., Belnap, M.J., Turnquist, K.N., Sloss, B., VanDeHey, J.A., Hansen, S.P., and Caroffino, D.C., 2020, Defining the need for genetic stock assignment when describing stock demographics and dynamics: An example using Lake Whitefish in Lake Michigan: Transactions of the American Fisheries Society, v. 149, no. 4, p. 398-413, https://doi.org/10.1002/tafs.10235.","productDescription":"16 p.","startPage":"398","endPage":"413","ipdsId":"IP-105758","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": 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L.","affiliations":[],"preferred":false,"id":833204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"VanDeHey, Justin A.","contributorId":50800,"corporation":false,"usgs":true,"family":"VanDeHey","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":833205,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Scott P.","contributorId":79837,"corporation":false,"usgs":true,"family":"Hansen","given":"Scott","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":833206,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caroffino, David C.","contributorId":181527,"corporation":false,"usgs":false,"family":"Caroffino","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":833207,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70210975,"text":"70210975 - 2020 - Mortality and cholinesterase inhibition in butterflies following aerial naled applications for mosquito control on the National Key Deer Refuge","interactions":[],"lastModifiedDate":"2020-08-04T14:21:41.420781","indexId":"70210975","displayToPublicDate":"2020-07-01T10:07:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Mortality and cholinesterase inhibition in butterflies following aerial naled applications for mosquito control on the National Key Deer Refuge","docAbstract":"

Natural resource managers are concerned about the impacts of aerial ultra-low volume spray (ULV) of insecticides for mosquito control (i.e., mosquito adulticides) and seek science-driven management recommendations that reduce risk but allow vector control for nearby human populations. Managers at the National Key Deer Refuge (Florida Keys, FL) are concerned for ULV effects upon conservation efforts for imperiled butterflies (Florida leafwing [Anaea troglodyta floridalis] and Bartram’s hairstreak [Strymon acis bartrami] butterflies). No-spray zones were designated for protection of those butterflies, but their effectiveness for mitigation is unclear. To address this uncertainty, cholinesterase activity (ChE) and mortality were monitored for caged butterflies gulf fritillary [Agraulis vanilla] and great southern white [Ascia monuste]) deployed on the Refuge during three aerial ULV applications of the insecticide naled. Residue samplers also were deployed to estimate butterfly exposure. Spray efficacy against mosquitoes was assessed by deploying caged mosquitoes at the same locations as the butterflies. Average naled residue levels on filter paper samplers in the target area (1882–2898 µg/m2) was significantly greater than in the no-spray zone (9–1562 µg/m2). Differences between the no-spray zone and target area for butterfly mortality and ChE were inconsistent. Average mortality was significantly lower, and average ChE was significantly higher in the no-spray zone for larvae of one species but not for larvae of the other species. Mosquito mortality did not differ significantly between the two areas. Data from the present study reflect the inconsistent effectiveness of no-spray zones on the Refuge using standard methods employed at the time by the vector control agency in the Florida Keys and possibly by other vector control agencies in similar coastal environments. Furthermore, these findings helped to guide the design and to improve the conservation value of future no-spray zone delineations while allowing for treatment in areas where mosquito control is necessary for vector-borne disease reduction.

","language":"English","publisher":"Springer","doi":"10.1007/s00244-020-00745-8","usgsCitation":"Bargar, T., Anderson, C., and Sowers, A., 2020, Mortality and cholinesterase inhibition in butterflies following aerial naled applications for mosquito control on the National Key Deer Refuge: Archives of Environmental Contamination and Toxicology, v. 79, p. 233-245, https://doi.org/10.1007/s00244-020-00745-8.","productDescription":"13 p.","startPage":"233","endPage":"245","ipdsId":"IP-117059","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":436900,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74X55ZP","text":"USGS data release","linkHelpText":"Cholinesterase inhibition in butterflies on the National Key Deer Refuge following aerial application of a mosquito control pesticide"},{"id":376201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"National Key Deer Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.45092010498047,\n 24.63671928411111\n ],\n [\n -81.31050109863281,\n 24.63671928411111\n ],\n [\n -81.31050109863281,\n 24.778318518683687\n ],\n [\n -81.45092010498047,\n 24.778318518683687\n ],\n [\n -81.45092010498047,\n 24.63671928411111\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","noUsgsAuthors":false,"publicationDate":"2020-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Bargar, Timothy 0000-0001-8588-3436","orcid":"https://orcid.org/0000-0001-8588-3436","contributorId":211833,"corporation":false,"usgs":true,"family":"Bargar","given":"Timothy","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":792323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chad","contributorId":222871,"corporation":false,"usgs":false,"family":"Anderson","given":"Chad","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":792324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sowers, Anthony 0000-0002-9654-5341","orcid":"https://orcid.org/0000-0002-9654-5341","contributorId":222872,"corporation":false,"usgs":false,"family":"Sowers","given":"Anthony","email":"","affiliations":[{"id":40611,"text":"U.S. Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":792325,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227732,"text":"70227732 - 2020 - The abundance of Greater Sage-Grouse as a proxy for the abundance of sagebrush-associated songbirds in Wyoming, USA","interactions":[],"lastModifiedDate":"2022-01-27T16:02:26.358497","indexId":"70227732","displayToPublicDate":"2020-06-30T09:57:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The abundance of Greater Sage-Grouse as a proxy for the abundance of sagebrush-associated songbirds in Wyoming, USA","docAbstract":"

Surrogate-species concepts are prevalent in animal conservation. Such strategies advocate for conservation by proxy, wherein one species is used to represent other taxa to obtain a conservation objective. The efficacy of such approaches has been rarely assessed empirically, but is predicated on concordance between the surrogate and sympatric taxa in distribution, abundance, and ecological requirements. Our objective was to identify whether the abundance of a high-profile umbrella species (Greater Sage-Grouse, Centrocercus urophasianus, hereafter sage-grouse) was associated with the abundance of six other members of the avian community for which it is presumed to be a surrogate, including three sagebrush-obligate and three sagebrush-associated songbird species. We predicted that sage-grouse abundance would align most closely with the breeding abundance of other sagebrush-obligate birds. We used two different indices of sage-grouse abundance for comparisons: field-collected counts of fecal pellets (primarily indexing abundance in the nonbreeding season) and a spatially explicit index of breeding population size. Neither index of sage-grouse abundance was consistently predictive of co-occurring songbird abundance, with one species more abundant (Horned Lark [Eremophila alpestris]) and one species less abundant (Vesper Sparrow [Pooecetes gramineus]) where sage-grouse pellet counts were higher, and no relationship evident between songbird abundance and the spatially explicit sage-grouse population index. Ours is one of few assessments of the efficacy of sage-grouse as a surrogate species to consider abundance, and not habitat overlap alone. We suggest that the utility of sage-grouse as a surrogate species likely varies across spatial scales. Within the scale examined here (10–15 ha sites), however, indices of sage-grouse abundance were unreliable proxies for the abundance of six declining songbird species.

","language":"English","publisher":"Society of Canadian Ornithologists","doi":"10.5751/ACE-01702-150216","usgsCitation":"Carlisle, J.D., and Chalfoun, A.D., 2020, The abundance of Greater Sage-Grouse as a proxy for the abundance of sagebrush-associated songbirds in Wyoming, USA: Avian Conservation and Ecology, v. 15, no. 2, 16, 27 p., https://doi.org/10.5751/ACE-01702-150216.","productDescription":"16, 27 p.","ipdsId":"IP-087232","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":456195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-01702-150216","text":"Publisher Index Page"},{"id":394974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.51171875,\n 41.261291493919884\n ],\n [\n -107.70996093749999,\n 41.261291493919884\n ],\n [\n -107.70996093749999,\n 42.601619944327965\n ],\n [\n -109.51171875,\n 42.601619944327965\n ],\n [\n -109.51171875,\n 41.261291493919884\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carlisle, Jason D.","contributorId":272319,"corporation":false,"usgs":false,"family":"Carlisle","given":"Jason","email":"","middleInitial":"D.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":831947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831946,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70212966,"text":"70212966 - 2020 - Evidence for a concealed Midcontinent Rift-related northeast Iowa intrusive complex","interactions":[],"lastModifiedDate":"2020-09-02T14:15:18.406979","indexId":"70212966","displayToPublicDate":"2020-06-29T08:56:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for a concealed Midcontinent Rift-related northeast Iowa intrusive complex","docAbstract":"

Large amplitude aeromagnetic and gravity anomalies over a ~9500 km2 area of northeast Iowa and southeast Minnesota have been interpreted to reflect the northeast Iowa intrusive complex (NEIIC), a buried intrusive igneous complex composed of mafic/ultramafic rocks in the Yavapai Province (1.8–1.7 Ga). Hundreds of meters of Paleozoic sedimentary cover and a paucity of basement drilling have prevented detailed studies of the NEIIC. Long considered, but not proven, to be related to the ~1.1 Ga Midcontinent Rift System (MRS), the NEIIC is comparable in areal extent to the richly mineralized Duluth Complex and is similarly located near the margin of the MRS. New geochronological and geophysical data together support an MRS affinity for the NEIIC. A dike swarm imaged in aeromagnetic data is cut by intrusions of the NEIIC, and a new apatite U-Pb date of ~1170 Ma on one of the dikes thus represents a maximum age for the NEIIC. A minimum age constraint is suggested by (1) large-volume magmatism associated with the MRS that was the last such event to affect the region; and (2) the presence of reversely magnetized dikes, similar in character to MRS-related dikes elsewhere, that cut several intrusions of the NEIIC. The NEIIC is largely characterized by the presence of multiple zoned intrusions, many of which contain large volumes of mafic-ultramafic rocks and have strong geophysical similarities to alkaline intrusive complexes elsewhere, including the MRS-related Coldwell Complex of Ontario. The largest of the zoned intrusions are ~40 km in diameter and are interpreted to have thicknesses of many kilometers. Suspected faults, alignments of intrusions, and intrusive margins tend to be aligned along northwest and northeast trends that match the trends of the Belle Plaine fault zone and Fayette structural zone, both previously interpreted as pre-MRS, possibly lithospheric-scale discontinuities that may have controlled NEIIC emplacement. These interpretations collectively imply notable potential for the NEIIC to host several different types of undiscovered base metal and critical mineral deposits.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2020.105845","usgsCitation":"Drenth, B.J., Souders, A., Schulz, K.J., Feinberg, J.M., Anderson, R., Chandler, V.W., Cannon, W.F., and Clark, R., 2020, Evidence for a concealed Midcontinent Rift-related northeast Iowa intrusive complex: Precambrian Research, v. 347, 105845, 23 p., https://doi.org/10.1016/j.precamres.2020.105845.","productDescription":"105845, 23 p.","ipdsId":"IP-117960","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":456217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2020.105845","text":"Publisher Index Page"},{"id":378096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.2744140625,\n 41.96765920367816\n ],\n [\n -91.49414062499999,\n 43.197167282501276\n ],\n [\n -92.59277343749999,\n 44.08758502824516\n ],\n [\n -93.07617187499999,\n 43.96119063892024\n ],\n [\n -92.8125,\n 42.58544425738491\n ],\n [\n -92.59277343749999,\n 41.244772343082076\n ],\n [\n -92.021484375,\n 41.178653972331674\n ],\n [\n -91.23046875,\n 41.60722821271717\n ],\n [\n -91.2744140625,\n 41.96765920367816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"347","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":797835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Souders, A. Kate 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":239820,"corporation":false,"usgs":false,"family":"Souders","given":"A. Kate","affiliations":[],"preferred":false,"id":797836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, Klaus J. 0000-0003-2967-4765 kschulz@usgs.gov","orcid":"https://orcid.org/0000-0003-2967-4765","contributorId":2438,"corporation":false,"usgs":true,"family":"Schulz","given":"Klaus","email":"kschulz@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feinberg, Joshua M.","contributorId":194010,"corporation":false,"usgs":false,"family":"Feinberg","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":797838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Raymond R.","contributorId":22430,"corporation":false,"usgs":true,"family":"Anderson","given":"Raymond R.","affiliations":[],"preferred":false,"id":797839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chandler, Val W.","contributorId":117484,"corporation":false,"usgs":true,"family":"Chandler","given":"Val","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":797840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cannon, William F. 0000-0002-2699-8118 wcannon@usgs.gov","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":1883,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"wcannon@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797841,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clark, Ryan","contributorId":193538,"corporation":false,"usgs":false,"family":"Clark","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":797842,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70215068,"text":"70215068 - 2020 - Structural controls on slope failure within the western Santa Barbara Channel based on 2D and 3D seismic imaging","interactions":[],"lastModifiedDate":"2020-10-07T13:53:27.178999","indexId":"70215068","displayToPublicDate":"2020-06-29T08:42:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7143,"text":"Geochemistry, Geophysics, and Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Structural controls on slope failure within the western Santa Barbara Channel based on 2D and 3D seismic imaging","docAbstract":"

The Santa Barbara Channel, offshore California, contains several submarine landslides and ample evidence for incipient failure. This region hosts active thrust and reverse faults that accommodate several mm/yr of convergence, yet the relationships between tectonic deformation and slope failure remain unclear. We present 3‐D and 2‐D multichannel seismic reflection (MCS) data sets, multibeam bathymetry, and chronostratigraphic constraints to investigate the controls on slope failure. Splay faulting along the North Channel Deformation Trend (NCDT) coincides with a distinct zone of compressional uplift and onlapping of steeply dipping Quaternary strata. The NCDT is spatially correlated with seafloor fissures, and 3‐D seismic analyses reveal an intricate system of en echelon reverse faults that offset sediments younger than ~25 ka. Localized uplift zones are located between faults, one of which underlies the Gaviota landslide headscarp. We observe a direct relationship between slope failure and along‐strike variations in the tectonostratigraphic framework. Based on geophysical properties at Ocean Drilling Program (ODP) Site 893, we predict a trend in compaction and porosity reduction in the basin that drives pore fluids up‐dip, toward the zone of onlap above the NCDT, thus reducing slope stability. This interplay between tectonic, sedimentary, and fluid‐flow processes along the NCDT has created a confluence of preconditioning factors, with Gaviota and Goleta landslides being distinguished from the surrounding slopes by their position above the NCDT. The distribution of seafloor fissures suggests sections of the slope remain unstable and are prone to future landsliding. These results provide insights into the processes and 3‐D feedbacks that lead to slope instability along other convergent margins.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GC009055","usgsCitation":"Kluesner, J.W., Brothers, D.S., Wright, A.L., and Johnson, S., 2020, Structural controls on slope failure within the western Santa Barbara Channel based on 2D and 3D seismic imaging: Geochemistry, Geophysics, and Geosystems, v. 21, no. 8, e2020GC009055, 34 p., https://doi.org/10.1029/2020GC009055.","productDescription":"e2020GC009055, 34 p.","ipdsId":"IP-117824","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456220,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020gc009055","text":"Publisher Index Page"},{"id":379168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.43624877929688,\n 34.04241857075928\n ],\n [\n -119.44061279296875,\n 34.04241857075928\n ],\n [\n -119.44061279296875,\n 34.44995361537075\n ],\n [\n -120.43624877929688,\n 34.44995361537075\n ],\n [\n -120.43624877929688,\n 34.04241857075928\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":201261,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":800709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":800710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Alexis L","contributorId":225553,"corporation":false,"usgs":false,"family":"Wright","given":"Alexis","email":"","middleInitial":"L","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":800711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":221270,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":800712,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210865,"text":"70210865 - 2020 - Changes in capture rates and body size among vertebrate species occupying an insular urban habitat reserve","interactions":[],"lastModifiedDate":"2020-09-10T20:02:03.342722","indexId":"70210865","displayToPublicDate":"2020-06-29T07:48:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Changes in capture rates and body size among vertebrate species occupying an insular urban habitat reserve","docAbstract":"

Long‐term ecological monitoring provides valuable and objective scientific information to inform management and decision‐making. In this article, we analyze 22 years of herpetofauna monitoring data from the Point Loma Ecological Conservation Area (PLECA), an insular urban reserve near San Diego, CA. Our analysis showed that counts of individuals for one of the four most common terrestrial vertebrates declined, whereas counts for other common species increased or remained stable. Two species exhibited declines in adult body length, whereas biomass pooled over the five most common species increased over time and was associated with higher wet season precipitation. Although the habitat and vegetation at PLECA have remained protected and intact, we suspect that changes in arthropod communities may be driving changes in the abundance, growth, and development of insectivorous lizards. This study underscores the value of long‐term monitoring for establishing quantitative baselines to assess biological changes that would otherwise go undetected.

","language":"English","publisher":"Wiley","doi":"10.1111/csp2.245","usgsCitation":"Stanley, T., Clark, R.W., Fisher, R.N., Rochester, C.J., Root, S.A., Lombardo, K.J., and Ostermann-Kelm, S.D., 2020, Changes in capture rates and body size among vertebrate species occupying an insular urban habitat reserve: Conservation Science and Practice, v. 2, no. 9, e245, 15 p., https://doi.org/10.1111/csp2.245.","productDescription":"e245, 15 p.","ipdsId":"IP-098996","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":456224,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.245","text":"Publisher Index Page"},{"id":376010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Point Loma Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.26806640625,\n 32.56996256044998\n ],\n [\n -117.05932617187499,\n 32.56996256044998\n ],\n [\n -117.05932617187499,\n 32.794201303793194\n ],\n [\n -117.26806640625,\n 32.794201303793194\n ],\n [\n -117.26806640625,\n 32.56996256044998\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanley, Thomas 0000-0002-8393-0005","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":210435,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":791815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Rulon W.","contributorId":139393,"corporation":false,"usgs":false,"family":"Clark","given":"Rulon","email":"","middleInitial":"W.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":791816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":791817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rochester, Carlton J. 0000-0002-0625-4496","orcid":"https://orcid.org/0000-0002-0625-4496","contributorId":207764,"corporation":false,"usgs":true,"family":"Rochester","given":"Carlton","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":791818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Root, Stephanie A 0000-0002-8405-8108","orcid":"https://orcid.org/0000-0002-8405-8108","contributorId":225607,"corporation":false,"usgs":false,"family":"Root","given":"Stephanie","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":791819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lombardo, Keith J","contributorId":225608,"corporation":false,"usgs":false,"family":"Lombardo","given":"Keith","email":"","middleInitial":"J","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":791820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ostermann-Kelm, Stacey D","contributorId":225609,"corporation":false,"usgs":false,"family":"Ostermann-Kelm","given":"Stacey","email":"","middleInitial":"D","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":791821,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211026,"text":"70211026 - 2020 - Accurate bathymetric maps from underwater digital imagery without ground control","interactions":[],"lastModifiedDate":"2020-07-10T13:06:24.414755","indexId":"70211026","displayToPublicDate":"2020-06-26T08:03:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Accurate bathymetric maps from underwater digital imagery without ground control","docAbstract":"Structure-from-Motion (SfM) photogrammetry can be used with digital underwater photographs to generate high-resolution bathymetry and orthomosaics with millimeter-to-centimeter scale resolution at relatively low cost. Although these products are useful for assessing species diversity and health, they have additional utility for quantifying benthic community structure, such as coral growth and fine-scale elevation change over time, if accurate length scales and georeferencing are included. This georeferencing is commonly provided with “ground control,” such as pre-installed seafloor benchmarks or identifiable “static” features, which can be difficult and time consuming to install, survey, and maintain. To address these challenges, we developed the SfM Quantitative Underwater Imaging Device with Five Cameras (SQUID-5), a towed surface vehicle with an onboard survey-grade Global Navigation Satellite System (GNSS) and five rigidly mounted downward-looking cameras with overlapping views of the seafloor. The cameras are tightly synchronized with both the GNSS and each other to collect quintet photo sets and record the precise location of every collection event. The system was field tested in July 2019 in the U.S. Florida Keys, in water depths ranging from 3 to 9 m over a variety of bottom types. Surveying accuracy was assessed using pre-installed stations with known coordinates, machined scale bars, and two independent surveys of a site to evaluate repeatability. Under a range of sea conditions, ambient lighting, and water clarity, we were able to map living and senile coral reef habitats and sand waves at mm-scale resolution. Data were processed using best practice SfM techniques without ground control and local measurement errors of horizontal and vertical scales were consistently sub-millimeter, equivalent to 0.013% RMSE relative to water depth. Survey-to-survey repeatability RMSE was on the order of 3 cm without georeferencing but could be improved to several millimeters with the incorporation of one or more non-surveyed marker points. We demonstrate that the SQUID-5 platform can map complex coral reef and other seafloor habitats and measure mm-to-cm scale changes in the morphology and location of seafloor features over time without pre-existing ground control.","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.00525","usgsCitation":"Hatcher, G.A., Warrick, J.A., Ritchie, A.C., Dailey, E.T., Zawada, D., Kranenburg, C.J., and Yates, K.K., 2020, Accurate bathymetric maps from underwater digital imagery without ground control: Frontiers in Marine Science, v. 7, 525, 20 p., https://doi.org/10.3389/fmars.2020.00525.","productDescription":"525, 20 p.","ipdsId":"IP-117107","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456262,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.00525","text":"Publisher Index Page"},{"id":436916,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WYVEJ6","text":"USGS data release","linkHelpText":"squid5-software"},{"id":436915,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V7K7EG","text":"USGS data release","linkHelpText":"SQUID-5 structure-from-motion point clouds, bathymetric maps, orthomosaics, and underwater photos of coral reefs in Florida, 2019"},{"id":376245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.771240234375,\n 24.43714786161562\n ],\n [\n -80.892333984375,\n 24.657002173279082\n ],\n [\n -80.277099609375,\n 24.95119964792312\n ],\n [\n -80.18920898437499,\n 25.35891851754525\n ],\n [\n -80.343017578125,\n 25.37877231509496\n ],\n [\n -80.7550048828125,\n 25.085598897064752\n ],\n [\n -81.2713623046875,\n 24.84656534821976\n ],\n [\n -81.91955566406249,\n 24.696934226366672\n ],\n [\n -81.97998046875,\n 24.44714958973082\n ],\n [\n -81.771240234375,\n 24.43714786161562\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatcher, Gerry A. 0000-0001-7705-1509 ghatcher@usgs.gov","orcid":"https://orcid.org/0000-0001-7705-1509","contributorId":208239,"corporation":false,"usgs":true,"family":"Hatcher","given":"Gerry","email":"ghatcher@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dailey, Evan T. 0000-0002-4382-3870 edailey@usgs.gov","orcid":"https://orcid.org/0000-0002-4382-3870","contributorId":195607,"corporation":false,"usgs":true,"family":"Dailey","given":"Evan","email":"edailey@usgs.gov","middleInitial":"T.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kranenburg, Christine J. 0000-0002-2955-0167 ckranenburg@usgs.gov","orcid":"https://orcid.org/0000-0002-2955-0167","contributorId":169234,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine","email":"ckranenburg@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yates, Kimberly K. 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":214349,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792474,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70210791,"text":"70210791 - 2020 - The predictive skills of elastic Coulomb rate-and-state aftershock forecasts during the 2019 Ridgecrest, California, earthquake sequence","interactions":[],"lastModifiedDate":"2020-08-26T19:12:50.615604","indexId":"70210791","displayToPublicDate":"2020-06-23T10:23:54","publicationYear":"2020","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}},"title":"The predictive skills of elastic Coulomb rate-and-state aftershock forecasts during the 2019 Ridgecrest, California, earthquake sequence","docAbstract":"Operational earthquake forecasting protocols commonly use statistical models for their recognized ease of implementation and robustness in describing the short-term spatiotemporal patterns of triggered seismicity. However, recent advances on physics-based aftershock forecasting reveal comparable performance to the standard statistical counterparts with significantly improved predictive skills when fault and stress field heterogeneities are considered. Here, we perform a pseudo-prospective forecasting experiment during the first month of the 2019 Ridgecrest (California) earthquake sequence. We develop seven Coulomb rate-and-state models that couple static stress change estimates with continuum mechanics expressed by the rate-and-state friction laws. Our model parametrization supports a gradually increasing complexity; we start from a preliminary model implementation with simplified slip distributions and spatially homogeneous receiver faults to reach an enhanced one featuring optimized fault constitutive parameters, finite-fault slip models, secondary triggering effects, and spatially heterogenous planes informed by pre-existing ruptures. The data-rich environment of Southern California allows us to test whether incorporating data collected in near real-time during an unfolding earthquake sequence boosts our predictive power. We assess the absolute and relative performance of the forecasts by means of statistical tests used within the Collaboratory for the Study of Earthquake Predictability (CSEP) and compare their skills against a standard benchmark ETAS model for the short (24 hours after the two Ridgecrest mainshocks) and intermediate-term (one month). Stress-based forecasts expect heightened rates along the whole near-fault region and increased expected seismicity rates in Central Garlock Fault. Our comparative model evaluation supports that faulting heterogeneities coupled with secondary triggering effects are the most critical success components behind physics-based forecasts, but also underlines the importance of model updates incorporating near real-time available aftershock data reaching better performance than ETAS models. We explore the physical basis behind our results by investigating the localized shut down of pre-existing normal faults in the Ridgecrest near-source area.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200028","usgsCitation":"Mancini, S., Segou, M., Werner, M., and Parsons, T.E., 2020, The predictive skills of elastic Coulomb rate-and-state aftershock forecasts during the 2019 Ridgecrest, California, earthquake sequence: Bulletin of the Seismological Society of America, v. 110, no. 4, p. 1736-1751, https://doi.org/10.1785/0120200028.","productDescription":"16 p.","startPage":"1736","endPage":"1751","ipdsId":"IP-117717","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456304,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/b86ef22d-e493-45b3-b98c-b20b940530be","text":"External Repository"},{"id":375920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.33923339843749,\n 35.14237113713991\n ],\n [\n -116.83959960937499,\n 35.14237113713991\n ],\n [\n -116.83959960937499,\n 36.37706783983682\n ],\n [\n -118.33923339843749,\n 36.37706783983682\n ],\n [\n -118.33923339843749,\n 35.14237113713991\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Mancini, Simone 0000-0003-3415-2080","orcid":"https://orcid.org/0000-0003-3415-2080","contributorId":225525,"corporation":false,"usgs":false,"family":"Mancini","given":"Simone","email":"","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":791436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Segou, Margarita","contributorId":199044,"corporation":false,"usgs":false,"family":"Segou","given":"Margarita","affiliations":[],"preferred":false,"id":791437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werner, Maximillian J","contributorId":195950,"corporation":false,"usgs":false,"family":"Werner","given":"Maximillian J","affiliations":[],"preferred":false,"id":791438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228453,"text":"70228453 - 2020 - The influence of hunting pressure and ecological factors on fecal glucocorticoid metabolites in wild elk","interactions":[],"lastModifiedDate":"2022-02-11T19:12:12.37835","indexId":"70228453","displayToPublicDate":"2020-06-20T12:14:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of hunting pressure and ecological factors on fecal glucocorticoid metabolites in wild elk","docAbstract":"

Climate change and human population growth have increased anthropogenic threats to biodiversity and habitat fragmentation. Ecologists and conservationists need tools to assess the effect of these ecological and environmental perturbations on organismal fitness. One possibility is glucocorticoids (e.g., cortisol and corticosterone) which integrate various factors such as anthropogenic disturbances, predation, food, or environmental stressors. Here we tested the hypothesis that fecal glucocorticoid metabolite concentrations (GCMs) in wild female elk (Cervus canadensis) increased as the hunting season progressed. We also examined the influence of year, food availability, and elk group size on fecal GCMs. We found that as the hunting season progressed, fecal GCMs tended to decrease. We also found that as the number of cows in a group increased, GCMs decreased, and found a strong effect of year on fecal GCMs, with samples collected in 2016 having lower fecal GCMs than those collected in 2015, 2017, and 2018. However, yearly variation was not driven by availability of hard mast forage. The lack of positive association between hunting pressure and fecal GCMs and identifying what is driving yearly variation in fecal GCMs warrants further study. We highlight the negative influence of group size, possibly due to vigilance, on fecal GCMs and the importance of examining ecologically relevant covariates to accurately identify main treatment effects.

","language":"English","doi":"10.2981/wlb.00683","usgsCitation":"Ensminger, D.C., Pritchard, C., Langkilde, T., Gingery, T., Banfield, J.E., and Walter, W., 2020, The influence of hunting pressure and ecological factors on fecal glucocorticoid metabolites in wild elk: Wildlife Biology, v. 2, 8 p., https://doi.org/10.2981/wlb.00683.","productDescription":"8 p.","ipdsId":"IP-115818","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":456337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00683","text":"Publisher Index Page"},{"id":395856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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University","active":true,"usgs":false}],"preferred":false,"id":834341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gingery, Tess","contributorId":275823,"corporation":false,"usgs":false,"family":"Gingery","given":"Tess","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banfield, Jeremiah E.","contributorId":275824,"corporation":false,"usgs":false,"family":"Banfield","given":"Jeremiah","email":"","middleInitial":"E.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":834343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834338,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237278,"text":"70237278 - 2020 - Positional accuracy assessment of lidar point cloud from NAIP/3DEP pilot project","interactions":[],"lastModifiedDate":"2022-10-06T13:42:55.455503","indexId":"70237278","displayToPublicDate":"2020-06-19T08:38:37","publicationYear":"2020","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":"Positional accuracy assessment of lidar point cloud from NAIP/3DEP pilot project","docAbstract":"

The Leica Geosystems CountryMapper hybrid system has the potential to collect data that satisfy the U.S. Geological Survey (USGS) National Geospatial Program (NGP) and 3D Elevation Program (3DEP) and the U.S. Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) requirements in a single collection. This research will help 3DEP determine if this sensor has the potential to meet current and future 3DEP topographic lidar collection requirements. We performed an accuracy analysis and assessment on the lidar point cloud produced from CountryMapper. The boresighting calibration and co-registration by georeferencing correction based on ground control points are assumed to be performed by the data provider. The scope of the accuracy assessment is to apply the following variety of ways to measure the accuracy of the delivered point cloud to obtain the error statistics. Intraswath uncertainty from a flat surface was computed to evaluate the point cloud precision. Intraswath difference between opposite scan directions and the interswath overlap difference were evaluated to find boresighting or any systematic errors. Absolute vertical accuracy over vegetated and non-vegetated areas were also assessed. Both horizontal and vertical absolute errors were assessed using the 3D absolute error analysis methodology of comparing conjugate points derived from geometric features. A three-plane feature makes a single unique intersection point. Intersection points were computed from ground-based lidar and airborne lidar point clouds for comparison. The difference between two intersection points form one error vector. The geometric feature-based error analysis was applied to intraswath, interswath, and absolute error analysis. The CountryMapper pilot data appear to satisfy the accuracy requirements suggested by the USGS lidar specification, based upon the error analysis results. The focus of this research was to demonstrate various conventional accuracy measures and novel 3D accuracy techniques using two different error computation methods on the CountryMapper airborne lidar point cloud.

","language":"English","publisher":"MDPI","doi":"10.3390/rs12121974","usgsCitation":"Kim, M., Park, S., Irwin, J., McCormick, C., Danielson, J.J., Stensaas, G.L., Sampath, A., Bauer, M.A., and Burgess, M.A., 2020, Positional accuracy assessment of lidar point cloud from NAIP/3DEP pilot project: Remote Sensing, v. 12, no. 12, 1974, 20 p., https://doi.org/10.3390/rs12121974.","productDescription":"1974, 20 p.","ipdsId":"IP-119473","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":456357,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12121974","text":"Publisher Index Page"},{"id":436924,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CPDWUU","text":"USGS data release","linkHelpText":"Hybrid Lidar/Imagery Sensor Validation 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USGS","active":true,"usgs":false}],"preferred":true,"id":853951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Jeffrey 0000-0001-5828-0787 jrirwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5828-0787","contributorId":222485,"corporation":false,"usgs":true,"family":"Irwin","given":"Jeffrey","email":"jrirwin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":853952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormick, Collin","contributorId":270002,"corporation":false,"usgs":false,"family":"McCormick","given":"Collin","email":"","affiliations":[],"preferred":false,"id":853953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":853954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stensaas, Gregory L. 0000-0001-6679-2416 stensaas@usgs.gov","orcid":"https://orcid.org/0000-0001-6679-2416","contributorId":2551,"corporation":false,"usgs":true,"family":"Stensaas","given":"Gregory","email":"stensaas@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":853955,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sampath, Aparajithan 0000-0002-6922-4913 asampath@usgs.gov","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":3622,"corporation":false,"usgs":true,"family":"Sampath","given":"Aparajithan","email":"asampath@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":853956,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bauer, Mark A. 0000-0002-4156-5759 mabauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4156-5759","contributorId":224288,"corporation":false,"usgs":true,"family":"Bauer","given":"Mark","email":"mabauer@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":853957,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Burgess, Matthew Alexander 0000-0003-3487-4972 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basins in the United States","docAbstract":"We compared modeled and observed streamflow trends from 1984–2016 using five statistical transfer models and one deterministic, distributed-parameter, process-based model, for 26 flow metrics at 502 basins in the United States that are minimally influenced by development. We also looked at a measure of overall model fit and average bias. A higher percentage of basins, for all models, had relatively low trend differences between modeled and observed mean/ median flows than for very high or low flows such as the annual 1-day high and 7-day low flows. Mean-flow metrics also had the largest percentage of basins with relatively good overall model fit and low bias. The five statistical transfer models performed better at more basins than the process-based model. The overall model fit for all models, for mean and/or high flows, was correlated with one or more measures of basin precipitation or aridity. Our study and previous studies generally observed good model performance for high flows up to 90th or 95th percentile flows. However, we found model performance was substantially worse for more extreme flows, including 99th percentile and annual 1-day high flows; this shows the importance of including more extreme high flows in analyses of model performance.","language":"English","publisher":"MDPI","doi":"10.3390/w12061728","usgsCitation":"Hodgkins, G.A., Dudley, R., Russell, A.M., and LaFontaine, J.H., 2020, Comparing trends in modeled and observed streamflows at minimally altered basins in the United States: Water, v. 12, 1728, 20 p., https://doi.org/10.3390/w12061728.","productDescription":"1728, 20 p.","ipdsId":"IP-117596","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":456370,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w12061728","text":"Publisher Index Page"},{"id":436926,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XT4WSP","text":"USGS data 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]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2020-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":220211,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Amy M. 0000-0003-0582-0094 arussell@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0094","contributorId":200011,"corporation":false,"usgs":true,"family":"Russell","given":"Amy","email":"arussell@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791054,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211077,"text":"70211077 - 2020 - Origin and geochemistry of formation waters from the lower Eagle Ford Group, Gulf Coast Basin, south central Texas","interactions":[],"lastModifiedDate":"2020-07-16T20:01:36.320547","indexId":"70211077","displayToPublicDate":"2020-06-16T10:46:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Origin and geochemistry of formation waters from the lower Eagle Ford Group, Gulf Coast Basin, south central Texas","docAbstract":"The lower Eagle Ford Group (LEFG) is one of the most productive continuous hydrocarbon plays in the United States but few associated produced waters data and minimal interpretation have been published. This effort focuses on results from compositional and isotopic data from 39 produced water samples collected from horizontal wells producing from the LEFG in south central Texas. The depth of the LEFG increases by approximately 1 km across the study area, from northwest (2.9 km) to southeast (3.9 km). Associated increases in calculated reservoir temperature (125-165 C), development of reservoir over-pressuring (400-800 bars total pressure), and increased thermal maturity (heavy oil to gas condensate) also occur along this trend. Produced water salinity starts at nearly 100 g/L in the shallowest samples and decreases linearly with depth to <35 g/L. Comparison of Br/Cl and ⁸⁷Sr/⁸⁶Sr data between LEFG produced waters and the Louann salt, suggests that halite recycling is the mechanism behind salinity greater than seawater. Decreasing salinity with depth and thermal maturity in the Gulf Coast Basin have previously been shown to be a result of release of inter-layer water during smectite to illite conversion. The produced water samples show increasing 18O and decreasing 2H with depth, which is attributed temperature-dependent isotope fractionation of O and H exchange between seawater and clays and calcite with increasing temperature. Multiple sources of data indicate that the waters in the LEFG are not connate, but rather entered the unit prior to smectite-illite conversion. Presence of allochthonous water in many major tight oil and shale gas plays in the U.S., including the LEFG, suggests there is unknown mechanism allowing for water advection into low permeability reservoirs.","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2020.119754","collaboration":"None","usgsCitation":"Engle, M.A., Doolan, C.A., Pitman, J., Varonka, M., Chenault, J., Orem, W.H., McMahon, P.B., and Jubb, A., 2020, Origin and geochemistry of formation waters from the lower Eagle Ford Group, Gulf Coast Basin, south central Texas: Chemical Geology, v. 550, 119754, 12 p., https://doi.org/10.1016/j.chemgeo.2020.119754.","productDescription":"119754, 12 p.","ipdsId":"IP-117920","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":456377,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2020.119754","text":"Publisher Index Page"},{"id":376366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"San Marcos Arch","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.98681640625,\n 28.033197847676377\n ],\n [\n -96.064453125,\n 28.033197847676377\n ],\n [\n -96.064453125,\n 30.637912028341123\n ],\n [\n -98.98681640625,\n 30.637912028341123\n ],\n [\n -98.98681640625,\n 28.033197847676377\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"550","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Engle, Mark A 0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":228981,"corporation":false,"usgs":false,"family":"Engle","given":"Mark","email":"","middleInitial":"A","affiliations":[{"id":41535,"text":"The University of Texas at El Paso, Department of Geological Sciences, El Paso, TX 79968","active":true,"usgs":false}],"preferred":false,"id":792696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doolan, Colin A. 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":3046,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":792697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitman, Janet K. 0000-0002-0441-779X","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":228982,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":792698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varonka, Matthew S. 0000-0003-3620-5262","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":203231,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew S.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":792699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chenault, Jessica 0000-0002-5974-0762","orcid":"https://orcid.org/0000-0002-5974-0762","contributorId":222078,"corporation":false,"usgs":true,"family":"Chenault","given":"Jessica","email":"","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":792750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":792701,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792751,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":792703,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70236094,"text":"70236094 - 2020 - Kinematic rupture and 3D wave propagation simulations of the 2019 Mw 7.1 Ridgecrest, California, earthquake","interactions":[],"lastModifiedDate":"2022-08-29T11:59:56.732315","indexId":"70236094","displayToPublicDate":"2020-06-16T06:57:02","publicationYear":"2020","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}},"title":"Kinematic rupture and 3D wave propagation simulations of the 2019 Mw 7.1 Ridgecrest, California, earthquake","docAbstract":"

We model the kinematic rupture process of the 2019 Mw\">MwMw 7.1 Ridgecrest, California, earthquake using numerical simulations to reproduce the elastodynamic wave field observed by inertial seismometers, high‐rate Global Navigation Satellite System stations, and borehole strainmeters. This was the largest earthquake in Southern California in 20 yr and was widely felt throughout the region. The Mw\">MwMw 7.1 mainshock was part of a large sequence of &#x223C;30,000\">∼30,000∼30,000 aftershocks and was notably preceded by an Mw\">MwMw 6.4 foreshock by 34 hr on fault structures that were once poorly understood. A large number of seismic and geodetic instruments measured the rupture process for both events, with many stations located in the near field. Hence, this is a rare opportunity to better understand complex earthquake processes that arise in an immature fault zone using advanced computing. Of the kinematic rupture models that we tested, our preferred is the simplest one that reproduces signals recorded by the three different geophysical datasets; it is composed of four distinct ruptures that progressively migrate to the southeast with delayed initiation times, and typical rupture speeds. This type of model does a better job at matching the recorded ground motions and deformations than does one composed of a continuous rupture with very low‐rupture velocity, as proposed in other studies of this earthquake.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200031","usgsCitation":"Hirakawa, E.T., and Barbour, A.J., 2020, Kinematic rupture and 3D wave propagation simulations of the 2019 Mw 7.1 Ridgecrest, California, earthquake: Bulletin of the Seismological Society of America, v. 110, no. 4, p. 1644-1659, https://doi.org/10.1785/0120200031.","productDescription":"16 p.","startPage":"1644","endPage":"1659","ipdsId":"IP-115108","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":405783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.98217773437499,\n 35.38904996691167\n ],\n [\n -117.3614501953125,\n 35.38904996691167\n ],\n [\n -117.3614501953125,\n 35.79108281624994\n ],\n [\n -117.98217773437499,\n 35.79108281624994\n ],\n [\n -117.98217773437499,\n 35.38904996691167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":849974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":849975,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210700,"text":"70210700 - 2020 - Snow processes in mountain forests: Interception modeling for coarse-scale applications","interactions":[],"lastModifiedDate":"2020-06-18T14:54:10.16543","indexId":"70210700","displayToPublicDate":"2020-06-15T09:50:15","publicationYear":"2020","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":"Snow processes in mountain forests: Interception modeling for coarse-scale applications","docAbstract":"

Snow interception by the forest canopy controls the spatial heterogeneity of subcanopy snow accumulation leading to significant differences between forested and nonforested areas at a variety of scales. Snow intercepted by the forest canopy can also drastically change the surface albedo. As such, accurately modeling snow interception is of importance for various model applications such as hydrological, weather, and climate predictions. Due to difficulties in the direct measurements of snow interception, previous empirical snow interception models were developed at just the point scale. The lack of spatially extensive data sets has hindered the validation of snow interception models in different snow climates, forest types, and at various spatial scales and has reduced the accurate representation of snow interception in coarse-scale models. We present two novel empirical models for the spatial mean and one for the standard deviation of snow interception derived from an extensive snow interception data set collected in an evergreen coniferous forest in the Swiss Alps. Besides open-site snowfall, subgrid model input parameters include the standard deviation of the DSM (digital surface model) and/or the sky view factor, both of which can be easily precomputed. Validation of both models was performed with snow interception data sets acquired in geographically different locations under disparate weather conditions. Snow interception data sets from the Rocky Mountains, US, and the French Alps compared well to the modeled snow interception with a normalized root mean square error (NRMSE) for the spatial mean of ≤10 % for both models and NRMSE of the standard deviation of ≤13 %. Compared to a previous model for the spatial mean interception of snow water equivalent, the presented models show improved model performances. Our results indicate that the proposed snow interception models can be applied in coarse land surface model grid cells provided that a sufficiently fine-scale DSM is available to derive subgrid forest parameters.

","language":"English","doi":"10.5194/hess-24-2545-2020","usgsCitation":"Helbig, N., Moeser, C.D., Teich, M., Vincent, L., Lejeune, Y., Sicart, J., and Monnet, J., 2020, Snow processes in mountain forests: Interception modeling for coarse-scale applications: Hydrology and Earth System Sciences, v. 24, p. 2545-2560, https://doi.org/10.5194/hess-24-2545-2020.","productDescription":"16 p.","startPage":"2545","endPage":"2560","ipdsId":"IP-111174","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":456397,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-24-2545-2020","text":"Publisher Index Page"},{"id":375684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France, United States","state":"Utah","otherGeospatial":"French Alps, Rocky Mountains","volume":"24","noUsgsAuthors":false,"publicationDate":"2020-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Helbig, N. 0000-0002-8663-7306","orcid":"https://orcid.org/0000-0002-8663-7306","contributorId":225392,"corporation":false,"usgs":false,"family":"Helbig","given":"N.","email":"","affiliations":[{"id":41093,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland","active":true,"usgs":false}],"preferred":false,"id":791020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moeser, C. David 0000-0003-0154-9110","orcid":"https://orcid.org/0000-0003-0154-9110","contributorId":214563,"corporation":false,"usgs":true,"family":"Moeser","given":"C.","email":"","middleInitial":"David","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teich, M. 0000-0002-8850-9279","orcid":"https://orcid.org/0000-0002-8850-9279","contributorId":225393,"corporation":false,"usgs":false,"family":"Teich","given":"M.","email":"","affiliations":[{"id":41094,"text":"Austrian Research Centre for Forests (BFW), Innsbruck, Austria","active":true,"usgs":false}],"preferred":false,"id":791022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vincent, L.","contributorId":225394,"corporation":false,"usgs":false,"family":"Vincent","given":"L.","email":"","affiliations":[{"id":41095,"text":"University Grenoble Alpes, University Toulouse, Météo-France, CNRS, CNRM, Centre d’Etudes de la Neige, Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":791023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lejeune, Y.","contributorId":225395,"corporation":false,"usgs":false,"family":"Lejeune","given":"Y.","email":"","affiliations":[{"id":41095,"text":"University Grenoble Alpes, University Toulouse, Météo-France, CNRS, CNRM, Centre d’Etudes de la Neige, Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":791024,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sicart, J.-E.","contributorId":225396,"corporation":false,"usgs":false,"family":"Sicart","given":"J.-E.","email":"","affiliations":[{"id":41096,"text":"Université Grenoble Alpes, CNRS, IRD, Grenoble INP, Institut des Géosciences de l’Environnement (IGE) - UMR 5001,","active":true,"usgs":false}],"preferred":false,"id":791025,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monnet, J.-M.","contributorId":225397,"corporation":false,"usgs":false,"family":"Monnet","given":"J.-M.","email":"","affiliations":[{"id":41097,"text":"Univ. Grenoble Alpes, Irstea, LESSEM, 38000 Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":791026,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211015,"text":"70211015 - 2020 - Conceptualizing alternate regimes in a large floodplain-river ecosystem","interactions":[],"lastModifiedDate":"2020-07-10T13:20:01.000249","indexId":"70211015","displayToPublicDate":"2020-06-15T08:16:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Conceptualizing alternate regimes in a large floodplain-river ecosystem","docAbstract":"Regime shifts –persistent changes in the structure and function of an ecosystem - are well-documented in many ecosystems but remain poorly understood in floodplain-river ecosystems. We apply a resilience perspective to large floodplain-river ecosystems by presenting three examples of plausible sets of alternate regimes that are relevant to natural resource management interests within the Upper Mississippi River and Illinois River. These alternate regimes include: 1) a clear water and abundant vegetation regime vs. a turbid water and sparse vegetation regime in lentic, off-channel areas, 2) a diverse native fish community regime vs. an invasive-dominated fish community regime, and 3) a regime characterized by a diverse and dynamic mosaic of floodplain vegetation types vs. one characterized as a persistent invasive wet meadow monoculture. For each set of potential alternate regimes, we synthesize known or hypothesized feedback mechanisms that reinforce regimes, controlling variables that drive regime transitions, and restoration pathways. The conceptual models presented here provide a framework for synthesizing our understanding of the dynamics of this ecosystem and are relevant to other large floodplain-river ecosystems that face similar human pressures across the world. The models are currently being used to prioritize future research, test hypotheses, and inform restoration and management on the Upper Mississippi River and Illinois River. Through sharing our approach, we provide a case study in which we document an important step in operationalizing resilience concepts for the management of natural resources.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2020.110516","usgsCitation":"Bouska, K.L., Houser, J.N., De Jager, N.R., Drake, D.C., Collins, S.F., Gibson-Reniemer, C.K., and Thomsen, M.A., 2020, Conceptualizing alternate regimes in a large floodplain-river ecosystem: Journal of Environmental Management, v. 264, 110516, 15 p., https://doi.org/10.1016/j.jenvman.2020.110516.","productDescription":"110516, 15 p.","ipdsId":"IP-108847","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":376247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin, Iowa, Illinois, Missouri","otherGeospatial":"Upper Mississippi River, Illinois River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.58154296875,\n 37.020098201368114\n ],\n [\n -88.22021484375,\n 37.020098201368114\n ],\n [\n -88.22021484375,\n 45.27488643704891\n ],\n [\n -93.58154296875,\n 45.27488643704891\n ],\n [\n -93.58154296875,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"264","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":792430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":792431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":792432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drake, Deanne C.","contributorId":207846,"corporation":false,"usgs":false,"family":"Drake","given":"Deanne","email":"","middleInitial":"C.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":792433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collins, Scott F.","contributorId":172292,"corporation":false,"usgs":false,"family":"Collins","given":"Scott","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":792434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gibson-Reniemer, Caniel K.","contributorId":228874,"corporation":false,"usgs":false,"family":"Gibson-Reniemer","given":"Caniel","email":"","middleInitial":"K.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":792435,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomsen, Meredith A.","contributorId":228875,"corporation":false,"usgs":false,"family":"Thomsen","given":"Meredith","email":"","middleInitial":"A.","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":792436,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70212744,"text":"70212744 - 2020 - Proposed species extinction target fails to capture the diversity in biodiversity","interactions":[],"lastModifiedDate":"2020-08-28T12:37:45.964292","indexId":"70212744","displayToPublicDate":"2020-06-12T11:38:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Proposed species extinction target fails to capture the diversity in biodiversity","docAbstract":"We believe the 20 species extinction metric is a retrograde proposal, which does not adequately consider the lessons learnt from the 2020 Aichi Biodiversity Targets. Whilst having a single simple overarching target is appealing, we believe a positively-framed target will garner support, rather than one that aims to, at best, limit negative impacts. The Convention on Biological Diversity’s zero draft states that future targets should be clear, consistent and SMART (Specific, Measurable, Achievable, Relevant and Timely). Extinction is problematic as a standalone target: it can take decades to demonstrate and therefore cannot be measured over a relevant time-period, and is biased towards terrestrial vertebrates. The proposal is not scalable across nations, nor is it equitable,one of the key aspirations of the zero draft. Many industrialised countries are unlikely to find the targets challenging because their most vulnerable species have largely gone extinct; tropical species-rich countries, where much biodiversity is yet to be catalogued, will find the targets demanding and unachievable in the short- or medium-term. Despite the authors’ statement to the contrary, species extinction is not necessarily relevant to other aspects of biodiversity, such as ecosystems or genetic diversity. A species may be reduced to a small fraction of its former extent without going extinct. However, its ecosystem will be altered, and its contribution to ecosystem functions and the socio-economic benefits it provided will be lost. The focus on extinction is not novel and has not been particularly successful to date, as demonstrated by the decline of emblematic species such as rhinoceroses. Alternatively, composite indicators can be used to capture biodiversity’s three fundamental components (ecosystems, species and genetic diversity). In conclusion, we cannot support a target that fails to represent the diversity in biodiversity and, in the authors’ words, could be met despite “wholesale and damaging changes to life on Earth.”","language":"English","publisher":"AAAS","doi":"10.1126/science.aba6592","usgsCitation":"O'Brien, D., Hunter, M., Breed, M., Bertola, L., Ogden, R., Palma da Silva, C., Paz-Vinas, I., Segelbacher, G., Hoban, S.M., and Jaffe, R., 2020, Proposed species extinction target fails to capture the diversity in biodiversity: Science, v. 368, no. 6496, p. 1193-1195, https://doi.org/10.1126/science.aba6592.","productDescription":"3 p.","startPage":"1193","endPage":"1195","ipdsId":"IP-120746","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":456416,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://discovery.ucl.ac.uk/id/eprint/10099553/","text":"External Repository"},{"id":377939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"368","issue":"6496","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O'Brien, David","contributorId":192192,"corporation":false,"usgs":false,"family":"O'Brien","given":"David","affiliations":[],"preferred":false,"id":797386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":207584,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":797387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breed, Martin","contributorId":239609,"corporation":false,"usgs":false,"family":"Breed","given":"Martin","affiliations":[{"id":47928,"text":"College of Science and Engineering, Flinders University","active":true,"usgs":false}],"preferred":false,"id":797388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bertola, Laura","contributorId":239610,"corporation":false,"usgs":false,"family":"Bertola","given":"Laura","affiliations":[{"id":38178,"text":"City College of New York","active":true,"usgs":false}],"preferred":false,"id":797389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ogden, Rob","contributorId":239611,"corporation":false,"usgs":false,"family":"Ogden","given":"Rob","email":"","affiliations":[{"id":47931,"text":"Royal (Dick) School of Veterinary Studies & the Roslin Institute, University of Edinburgh","active":true,"usgs":false}],"preferred":false,"id":797390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Palma da Silva, Clarisse","contributorId":239613,"corporation":false,"usgs":false,"family":"Palma da Silva","given":"Clarisse","email":"","affiliations":[{"id":47933,"text":"Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas – Unicamp","active":true,"usgs":false}],"preferred":false,"id":797392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Paz-Vinas, Ivan","contributorId":239614,"corporation":false,"usgs":false,"family":"Paz-Vinas","given":"Ivan","email":"","affiliations":[{"id":47934,"text":"Laboratoire Ecologie Fonctionnelle et Environnement, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":797393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Segelbacher, Gernot","contributorId":206584,"corporation":false,"usgs":false,"family":"Segelbacher","given":"Gernot","email":"","affiliations":[{"id":37345,"text":"University of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":797394,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hoban, Sean M. 0000-0002-0348-8449","orcid":"https://orcid.org/0000-0002-0348-8449","contributorId":206582,"corporation":false,"usgs":false,"family":"Hoban","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":797395,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jaffe, Rodolfo","contributorId":239612,"corporation":false,"usgs":false,"family":"Jaffe","given":"Rodolfo","email":"","affiliations":[{"id":47932,"text":"Instituto Tecnológico Vale; Department of Ecology, University of São Paulo","active":true,"usgs":false}],"preferred":false,"id":797391,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}