Animals occupying human-dominated environments show the capacity for behavioral flexibility. Corvids are among the most intelligent synanthropic bird species. During a layover at Schipol Airport in Amsterdam, Netherlands, I photographically documented Eurasian Jackdaws (Corvus monedula) perching upside down from a building cornice. In contrast to other reports of hanging birds, these jackdaws did not forage or play while upside down and appeared to use the perching spot to observe their surroundings. Although Corvids and Psittacines are known to hang upside down, especially in captive situations, such behaviors are rarely documented in the wild, and never before in association with human-built structures.
","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/15-211.1","usgsCitation":"Katzner, T., 2016, Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (Corvus monedula) in a human-dominated environment: Wilson Journal of Ornithology, v. 128, no. 4, p. 926-930, https://doi.org/10.1676/15-211.1.","productDescription":"5 p.","startPage":"926","endPage":"930","ipdsId":"IP-071449","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":336169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b15439e4b01ccd54fc5e9f","contributors":{"authors":[{"text":"Katzner, Todd E.","contributorId":18893,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","affiliations":[],"preferred":false,"id":671386,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70182771,"text":"70182771 - 2016 - Evolutionary traps as keys to understanding behavioral maladaptation","interactions":[],"lastModifiedDate":"2017-03-01T12:36:53","indexId":"70182771","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5307,"text":"Current Opinion in Behavioral Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary traps as keys to understanding behavioral maladaptation","docAbstract":"Evolutionary traps are severe cases of behavioral maladaptation that occur when, due to human activity, the cues animals use to guide their behavior become uncoupled from their fitness consequences. The result is that animals can prefer the most dangerous resources or behaviors, even when better options are available. Traps are increasingly common and represent a significant wildlife conservation problem. Understanding of the more proximate sensory-cognitive mechanisms underpinning traps remains poor, which highlights the need for interdisciplinary and collaborative approaches to investigating traps. Key to advancing basic trap theory and its conservation applications will be the development of appropriate and tractable model systems to investigate the mechanisms that cause traps within species, and how mechanisms vary across species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cobeha.2016.08.007","usgsCitation":"Robertson, B.A., and Chalfoun, A., 2016, Evolutionary traps as keys to understanding behavioral maladaptation: Current Opinion in Behavioral Sciences, v. 12, p. 12-17, https://doi.org/10.1016/j.cobeha.2016.08.007.","productDescription":"6 p.","startPage":"12","endPage":"17","ipdsId":"IP-074196","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":336749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baef","contributors":{"authors":[{"text":"Robertson, Bruce A.","contributorId":171947,"corporation":false,"usgs":false,"family":"Robertson","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna","contributorId":184161,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","affiliations":[],"preferred":false,"id":673693,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189340,"text":"70189340 - 2016 - Generating community-built tools for data sharing and analysis in environmental networks","interactions":[],"lastModifiedDate":"2018-03-27T13:33:14","indexId":"70189340","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Generating community-built tools for data sharing and analysis in environmental networks","docAbstract":"Rapid data growth in many environmental sectors has necessitated tools to manage and analyze these data. The development of tools often lags behind the proliferation of data, however, which may slow exploratory opportunities and scientific progress. The Global Lake Ecological Observatory Network (GLEON) collaborative model supports an efficient and comprehensive data–analysis–insight life cycle, including implementations of data quality control checks, statistical calculations/derivations, models, and data visualizations. These tools are community-built and openly shared. We discuss the network structure that enables tool development and a culture of sharing, leading to optimized output from limited resources. Specifically, data sharing and a flat collaborative structure encourage the development of tools that enable scientific insights from these data. Here we provide a cross-section of scientific advances derived from global-scale analyses in GLEON. We document enhancements to science capabilities made possible by the development of analytical tools and highlight opportunities to expand this framework to benefit other environmental networks.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/IW-6.4.889","usgsCitation":"Read, J.S., Gries, C., Read, E.K., Klug, J., Hanson, P.C., Hipsey, M., Jennings, E., O’Reilley, C., Winslow, L.A., Pierson, D., McBride, C.G., and Hamilton, D., 2016, Generating community-built tools for data sharing and analysis in environmental networks: Inland Waters, v. 6, no. 4, p. 637-644, https://doi.org/10.1080/IW-6.4.889.","productDescription":"8 p.","startPage":"637","endPage":"644","ipdsId":"IP-065600","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":470373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/iw-6.4.889","text":"Publisher Index Page"},{"id":343585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5965b26be4b0d1f9f05b37eb","contributors":{"authors":[{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":704266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gries, Corinna","contributorId":106525,"corporation":false,"usgs":true,"family":"Gries","given":"Corinna","affiliations":[],"preferred":false,"id":704267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Read, Emily K. 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":5815,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","middleInitial":"K.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":false,"id":704268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klug, Jennifer","contributorId":194475,"corporation":false,"usgs":false,"family":"Klug","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":704269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":704270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hipsey, Matthew R.","contributorId":80968,"corporation":false,"usgs":true,"family":"Hipsey","given":"Matthew R.","affiliations":[],"preferred":false,"id":704271,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jennings, Eleanor","contributorId":130974,"corporation":false,"usgs":false,"family":"Jennings","given":"Eleanor","email":"","affiliations":[{"id":7190,"text":"Department of Applied Sciences, Dundalk Institute of Techology, Dundalk, Ireland","active":true,"usgs":false}],"preferred":false,"id":704272,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O’Reilley, Catherine","contributorId":194476,"corporation":false,"usgs":false,"family":"O’Reilley","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":704273,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":704274,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pierson, Don","contributorId":194465,"corporation":false,"usgs":false,"family":"Pierson","given":"Don","email":"","affiliations":[],"preferred":false,"id":704275,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McBride, Christopher G.","contributorId":130977,"corporation":false,"usgs":false,"family":"McBride","given":"Christopher","email":"","middleInitial":"G.","affiliations":[{"id":7184,"text":"Environmental Research Institute, University of Waikato, Hamilton, New Zealand","active":true,"usgs":false}],"preferred":false,"id":704276,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hamilton, David","contributorId":194477,"corporation":false,"usgs":false,"family":"Hamilton","given":"David","email":"","affiliations":[],"preferred":false,"id":704277,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70189332,"text":"70189332 - 2016 - Climate-induced warming of lakes can be either amplified or suppressed by trends in water clarity","interactions":[],"lastModifiedDate":"2017-07-11T13:16:58","indexId":"70189332","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Climate-induced warming of lakes can be either amplified or suppressed by trends in water clarity","docAbstract":"Climate change is rapidly warming aquatic ecosystems including lakes and reservoirs. However, variability in lake characteristics can modulate how lakes respond to climate. Water clarity is especially important both because it influences the depth range over which heat is absorbed, and because it is changing in many lakes. Here, we show that simulated long-term water clarity trends influence how both surface and bottom water temperatures of lakes and reservoirs respond to climate change. Clarity changes can either amplify or suppress climate-induced warming, depending on lake depth and the direction of clarity change. Using a process-based model to simulate 1894 north temperate lakes from 1979 to 2012, we show that a scenario of decreasing clarity at a conservative yet widely observed rate of 0.92% yr−1 warmed surface waters and cooled bottom waters at rates comparable in magnitude to climate-induced warming. For lakes deeper than 6.5 m, decreasing clarity was sufficient to fully offset the effects of climate-induced warming on median whole-lake mean temperatures. Conversely, a scenario increasing clarity at the same rate cooled surface waters and warmed bottom waters relative to baseline warming rates. Furthermore, in 43% of lakes, increasing clarity more than doubled baseline bottom temperature warming rates. Long-term empirical observations of water temperature in lakes with and without clarity trends support these simulation results. Together, these results demonstrate that water clarity trends may be as important as rising air temperatures in determining how waterbodies respond to climate change.
","language":"English","publisher":"ASLO","doi":"10.1002/lol2.10027","usgsCitation":"Rose, K.C., Winslow, L.A., Read, J.S., and Hansen, G.J., 2016, Climate-induced warming of lakes can be either amplified or suppressed by trends in water clarity: Limnology and Oceanography Letters, v. 1, no. 1, p. 44-53, https://doi.org/10.1002/lol2.10027.","productDescription":"10 p.","startPage":"44","endPage":"53","ipdsId":"IP-070817","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":470371,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10027","text":"Publisher Index Page"},{"id":438499,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7028PN4","text":"USGS data release","linkHelpText":"Climate warming of Wisconsin lakes can be either amplified or suppressed by trends in water clarity"},{"id":343576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"1","noUsgsAuthors":false,"publicationDate":"2016-10-24","publicationStatus":"PW","scienceBaseUri":"5965b26be4b0d1f9f05b37f1","contributors":{"authors":[{"text":"Rose, Kevin C.","contributorId":174809,"corporation":false,"usgs":false,"family":"Rose","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":704200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":704201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":704203,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176479,"text":"70176479 - 2016 - Federal collaboration in science for invasive mammal management in U.S. National Parks and Wildlife Refuges of the Pacific Islands","interactions":[],"lastModifiedDate":"2018-01-04T08:32:09","indexId":"70176479","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Federal collaboration in science for invasive mammal management in U.S. National Parks and Wildlife Refuges of the Pacific Islands","docAbstract":"Some of the most isolated islands in the Pacific Ocean are home to US National Parks and Wildlife Refuges. These islands are known for flora and fauna that occur nowhere else, but also for invasive species and other factors which have resulted in the disproportionate extinction of native species. The control of invasive mammals is the single most expensive natural resource management activity essential for restoring ecological integrity to parks in the Hawaiian Islands, American Samoa, and the islands of Guam and Saipan. Science-based applications supporting management efforts have been shaped by longstanding collaborative federal research programs over the past four decades. Consequently, feral goats (Capra hircus) have been removed from >690 km2 in National Parks, and feral pigs (Sus scrofa) have been removed from >367 km2 of federal lands of Hawai‘i, bringing about the gradual recovery of forest ecosystems. The exclusion of other non-native ungulates and invasive mammals is now being undertaken with more sophisticated control techniques and fences. New fence designs are now capable of excluding feral cats (Felis catus) from large areas to protect endangered native waterfowl and nesting seabirds. Rodenticides which have been tested and registered for hand and aerial broadcast in Hawai‘i have been used to eradicate rats from small offshore islands to protect nesting seabirds and are now being applied to montane environments of larger islands to protect forest birds. Forward-looking infrared radar (FLIR) is also being applied to locate wild ungulates which were more recently introduced to some islands. All invasive mammals have been eradicated from some remote small islands, and it may soon be possible to manage areas on larger islands to be free of invasive mammals at least during seasonally important periods for native species.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 16th Wildlife Damage Management Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"16th Wildlife Damage Management Conference","conferenceDate":"March 1-4, 2015","conferenceLocation":"Gatlinburg, TN","language":"English","publisher":"Auburn University","usgsCitation":"Hess, S.C., Hu, D., Loh, R., and Banko, P.C., 2016, Federal collaboration in science for invasive mammal management in U.S. National Parks and Wildlife Refuges of the Pacific Islands, in Proceedings of the 16th Wildlife Damage Management Conference, Gatlinburg, TN, March 1-4, 2015, p. 5-18.","productDescription":"14 p.","startPage":"5","endPage":"18","ipdsId":"IP-079373","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":339972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877b8e4b0b7ea54521c14","contributors":{"editors":[{"text":"Conner, L.M.","contributorId":75254,"corporation":false,"usgs":true,"family":"Conner","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":692170,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Smith, M. D.","contributorId":25724,"corporation":false,"usgs":false,"family":"Smith","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":692171,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Hess, Steven C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":3156,"corporation":false,"usgs":true,"family":"Hess","given":"Steven","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":692166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, Darcy","contributorId":91734,"corporation":false,"usgs":true,"family":"Hu","given":"Darcy","email":"","affiliations":[],"preferred":false,"id":692167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loh, Rhonda","contributorId":191174,"corporation":false,"usgs":false,"family":"Loh","given":"Rhonda","email":"","affiliations":[],"preferred":false,"id":692168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":692169,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189338,"text":"70189338 - 2016 - The potential of high-frequency profiling to assess vertical and seasonal patterns of phytoplankton dynamics in lakes: An extension of the Plankton Ecology Group (PEG) model","interactions":[],"lastModifiedDate":"2018-10-20T12:29:35","indexId":"70189338","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"The potential of high-frequency profiling to assess vertical and seasonal patterns of phytoplankton dynamics in lakes: An extension of the Plankton Ecology Group (PEG) model","docAbstract":"The use of high-frequency sensors on profiling buoys to investigate physical, chemical, and biological processes in lakes is increasing rapidly. Profiling buoys with automated winches and sensors that collect high-frequency chlorophyll fluorescence (ChlF) profiles in 11 lakes in the Global Lake Ecological Observatory Network (GLEON) allowed the study of the vertical and temporal distribution of ChlF, including the formation of subsurface chlorophyll maxima (SSCM). The effectiveness of 3 methods for sampling phytoplankton distributions in lakes, including (1) manual profiles, (2) single-depth buoys, and (3) profiling buoys were assessed. High-frequency ChlF surface data and profiles were compared to predictions from the Plankton Ecology Group (PEG) model. The depth-integrated ChlF dynamics measured by the profiling buoy data revealed a greater complexity that neither conventional sampling nor the generalized PEG model captured. Conventional sampling techniques would have missed SSCM in 7 of 11 study lakes. Although surface-only ChlF data underestimated average water column ChlF, at times by nearly 2-fold in 4 of the lakes, overall there was a remarkable similarity between surface and mean water column data. Contrary to the PEG model’s proposed negligible role for physical control of phytoplankton during the growing season, thermal structure and light availability were closely associated with ChlF seasonal depth distribution. Thus, an extension of the PEG model is proposed, with a new conceptual framework that explicitly includes physical metrics to better predict SSCM formation in lakes and highlight when profiling buoys are especially informative.
","language":"English","publisher":"International Society of Limnology","doi":"10.5268/IW-6.4.890","usgsCitation":"Brentrup, J.A., Williamson, C.E., Colom-Montero, W., Eckert, W., de Eyto, E., Grossart, H., Huot, Y., Isles, P., Knoll, L.B., Leach, T.H., McBride, C.G., Pierson, D., Pomati, F., Read, J.S., Rose, K.C., Samal, N.R., Staehr, P.A., and Winslow, L.A., 2016, The potential of high-frequency profiling to assess vertical and seasonal patterns of phytoplankton dynamics in lakes: An extension of the Plankton Ecology Group (PEG) model: Inland Waters, v. 6, no. 4, p. 565-580, https://doi.org/10.5268/IW-6.4.890.","productDescription":"16 p.","startPage":"565","endPage":"580","ipdsId":"IP-065599","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":343581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-06-07","publicationStatus":"PW","scienceBaseUri":"5965b26be4b0d1f9f05b37ef","contributors":{"authors":[{"text":"Brentrup, Jennifer A.","contributorId":194457,"corporation":false,"usgs":false,"family":"Brentrup","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williamson, Craig E.","contributorId":146436,"corporation":false,"usgs":false,"family":"Williamson","given":"Craig","email":"","middleInitial":"E.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":704232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colom-Montero, William","contributorId":194458,"corporation":false,"usgs":false,"family":"Colom-Montero","given":"William","email":"","affiliations":[],"preferred":false,"id":704233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eckert, Werner","contributorId":194459,"corporation":false,"usgs":false,"family":"Eckert","given":"Werner","email":"","affiliations":[],"preferred":false,"id":704234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Eyto, Elvira","contributorId":166838,"corporation":false,"usgs":false,"family":"de Eyto","given":"Elvira","email":"","affiliations":[{"id":24549,"text":"Fisheries Ecosystems Advisory Services, Marine Institute, Furnace, Newport, Co. Mayo, Ireland.","active":true,"usgs":false}],"preferred":false,"id":704235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grossart, Hans-Peter 0000-0002-9141-0325","orcid":"https://orcid.org/0000-0002-9141-0325","contributorId":194460,"corporation":false,"usgs":false,"family":"Grossart","given":"Hans-Peter","email":"","affiliations":[],"preferred":false,"id":704236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huot, Yannick","contributorId":194461,"corporation":false,"usgs":false,"family":"Huot","given":"Yannick","email":"","affiliations":[],"preferred":false,"id":704237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isles, Peter D. F.","contributorId":194462,"corporation":false,"usgs":false,"family":"Isles","given":"Peter D. F.","affiliations":[],"preferred":false,"id":704238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Knoll, Lesley B. 0000-0003-0347-5979","orcid":"https://orcid.org/0000-0003-0347-5979","contributorId":194463,"corporation":false,"usgs":false,"family":"Knoll","given":"Lesley","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":704239,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leach, Taylor H.","contributorId":194464,"corporation":false,"usgs":false,"family":"Leach","given":"Taylor","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":704240,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McBride, Christopher G.","contributorId":130977,"corporation":false,"usgs":false,"family":"McBride","given":"Christopher","email":"","middleInitial":"G.","affiliations":[{"id":7184,"text":"Environmental Research Institute, University of Waikato, Hamilton, New Zealand","active":true,"usgs":false}],"preferred":false,"id":704241,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pierson, Don","contributorId":194465,"corporation":false,"usgs":false,"family":"Pierson","given":"Don","email":"","affiliations":[],"preferred":false,"id":704242,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pomati, Francesco","contributorId":194466,"corporation":false,"usgs":false,"family":"Pomati","given":"Francesco","email":"","affiliations":[],"preferred":false,"id":704243,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":704244,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rose, Kevin C.","contributorId":174809,"corporation":false,"usgs":false,"family":"Rose","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":704245,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Samal, Nihar R.","contributorId":150303,"corporation":false,"usgs":false,"family":"Samal","given":"Nihar","email":"","middleInitial":"R.","affiliations":[{"id":17977,"text":"Institute for Sustainable Cities, City University of New York, New York, USA","active":true,"usgs":false}],"preferred":false,"id":704246,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Staehr, Peter A.","contributorId":194467,"corporation":false,"usgs":false,"family":"Staehr","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704247,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":704248,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70189339,"text":"70189339 - 2016 - Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes","interactions":[],"lastModifiedDate":"2018-07-07T18:28:49","indexId":"70189339","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes","docAbstract":"Ecosystem metabolism and the contribution of carbon dioxide from lakes to the atmosphere can be estimated from free-water gas measurements through the use of mass balance models, which rely on a gas transfer coefficient (k) to model gas exchange with the atmosphere. Theoretical and empirically based models of krange in complexity from wind-driven power functions to complex surface renewal models; however, model choice is rarely considered in most studies of lake metabolism. This study used high-frequency data from 15 lakes provided by the Global Lake Ecological Observatory Network (GLEON) to study how model choice of kinfluenced estimates of lake metabolism and gas exchange with the atmosphere. We tested 6 models of k on lakes chosen to span broad gradients in surface area and trophic states; a metabolism model was then fit to all 6 outputs of k data. We found that hourly values for k were substantially different between models and, at an annual scale, resulted in significantly different estimates of lake metabolism and gas exchange with the atmosphere.
","language":"English","publisher":"International Society of Limnology","doi":"10.1080/IW-6.4.836","usgsCitation":"Dugan, H., Woolway, R., Santoso, A., Corman, J., Jaimes, A., Nodine, E., Patil, V.P., Zwart, J., Brentrup, J.A., Hetherington, A., Oliver, S., Read, J.S., Winter, K., Hanson, P., Read, E., Winslow, L., and Weathers, K., 2016, Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes: Inland Waters, v. 6, no. 4, p. 581-592, https://doi.org/10.1080/IW-6.4.836.","productDescription":"12 p.","startPage":"581","endPage":"592","ipdsId":"IP-056410","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":470372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/iw-6.4.836","text":"Publisher Index Page"},{"id":343583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5965b26be4b0d1f9f05b37ed","contributors":{"authors":[{"text":"Dugan, Hilary","contributorId":150191,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","affiliations":[{"id":17938,"text":"Center for Limnology University of Wisconsin, Madison, WI 53706, US","active":true,"usgs":false}],"preferred":false,"id":704249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woolway, R. Iestyn","contributorId":150345,"corporation":false,"usgs":false,"family":"Woolway","given":"R. Iestyn","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":704250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Santoso, Arianto","contributorId":194468,"corporation":false,"usgs":false,"family":"Santoso","given":"Arianto","email":"","affiliations":[],"preferred":false,"id":704251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corman, Jessica","contributorId":194469,"corporation":false,"usgs":false,"family":"Corman","given":"Jessica","affiliations":[],"preferred":false,"id":704252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaimes, Aline","contributorId":194470,"corporation":false,"usgs":false,"family":"Jaimes","given":"Aline","email":"","affiliations":[],"preferred":false,"id":704253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nodine, Emily","contributorId":194471,"corporation":false,"usgs":false,"family":"Nodine","given":"Emily","email":"","affiliations":[],"preferred":false,"id":704254,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":704255,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zwart, Jacob A.","contributorId":173345,"corporation":false,"usgs":false,"family":"Zwart","given":"Jacob A.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":704256,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brentrup, Jennifer A.","contributorId":194457,"corporation":false,"usgs":false,"family":"Brentrup","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704257,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hetherington, Amy","contributorId":150325,"corporation":false,"usgs":false,"family":"Hetherington","given":"Amy","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":704258,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oliver, Samantha K.","contributorId":169273,"corporation":false,"usgs":false,"family":"Oliver","given":"Samantha K.","affiliations":[],"preferred":false,"id":704259,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":704260,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Winter, Kirsten","contributorId":194473,"corporation":false,"usgs":false,"family":"Winter","given":"Kirsten","email":"","affiliations":[],"preferred":false,"id":704261,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hanson, Paul","contributorId":194474,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","affiliations":[],"preferred":false,"id":704262,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Read, Emily 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":190110,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":704263,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":704264,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Weathers, Kathleen","contributorId":191961,"corporation":false,"usgs":false,"family":"Weathers","given":"Kathleen","affiliations":[{"id":7188,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY, USA","active":true,"usgs":false}],"preferred":false,"id":704265,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70191261,"text":"70191261 - 2016 - Abiotic raw-materials in life cycle impact assessments: An emerging consensus across disciplines","interactions":[],"lastModifiedDate":"2018-03-27T17:26:57","indexId":"70191261","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5507,"text":"Resources","printIssn":"2079-9276","active":true,"publicationSubtype":{"id":10}},"title":"Abiotic raw-materials in life cycle impact assessments: An emerging consensus across disciplines","docAbstract":"This paper captures some of the emerging consensus points that came out of the workshop “Mineral Resources in Life Cycle Impact Assessment: Mapping the path forward”, held at the Natural History Museum London on 14 October 2015: that current practices rely in many instances on obsolete data, often confuse resource depletion with impacts on resource availability, which can therefore provide inconsistent decision support and lead to misguided claims about environmental performance. Participants agreed it would be helpful to clarify which models estimate depletion and which estimate availability, so that results can be correctly reported in the most appropriate framework. Most participants suggested that resource availability will be more meaningfully addressed within a comprehensive Life Cycle Sustainability Assessment framework rather than limited to an environmental Life Cycle Assessment or Footprint. Presentations from each of the authors are available for download.
","language":"English","publisher":"MDPI","doi":"10.3390/resources5010012","usgsCitation":"Drielsma, J., Allington, R., Brady, T., Guinee, J., Hammarstrom, J.M., Hummen, T., Russell-Vaccari, A., Schneider, L., Sonnemann, G., and Weihed, P., 2016, Abiotic raw-materials in life cycle impact assessments: An emerging consensus across disciplines: Resources, v. 5, no. 1, Article 12; 10 p., https://doi.org/10.3390/resources5010012.","productDescription":"Article 12; 10 p.","ipdsId":"IP-071618","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":462005,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/resources5010012","text":"Publisher Index Page"},{"id":346314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-26","publicationStatus":"PW","scienceBaseUri":"59d35027e4b05fe04cc34d5c","contributors":{"authors":[{"text":"Drielsma, Johannes","contributorId":196826,"corporation":false,"usgs":false,"family":"Drielsma","given":"Johannes","affiliations":[],"preferred":false,"id":711730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allington, Ruth","contributorId":196827,"corporation":false,"usgs":false,"family":"Allington","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":711731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brady, Thomas","contributorId":196828,"corporation":false,"usgs":false,"family":"Brady","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":711732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guinee, Jeroen","contributorId":196829,"corporation":false,"usgs":false,"family":"Guinee","given":"Jeroen","email":"","affiliations":[],"preferred":false,"id":711733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":711729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hummen, Torsten","contributorId":196830,"corporation":false,"usgs":false,"family":"Hummen","given":"Torsten","email":"","affiliations":[],"preferred":false,"id":711734,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Russell-Vaccari, Andrea","contributorId":196831,"corporation":false,"usgs":false,"family":"Russell-Vaccari","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":711735,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schneider, Laura","contributorId":196832,"corporation":false,"usgs":false,"family":"Schneider","given":"Laura","email":"","affiliations":[],"preferred":false,"id":711736,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sonnemann, Guido","contributorId":196833,"corporation":false,"usgs":false,"family":"Sonnemann","given":"Guido","email":"","affiliations":[],"preferred":false,"id":711737,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weihed, Par","contributorId":196834,"corporation":false,"usgs":false,"family":"Weihed","given":"Par","email":"","affiliations":[],"preferred":false,"id":711738,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70191260,"text":"70191260 - 2016 - Geochemistry, Nd-Pb Isotopes, and Pb-Pb Ages of the Mesoproterozoic Pea Ridge Iron Oxide-Apatite–Rare Earth Element Deposit, Southeast Missouri","interactions":[],"lastModifiedDate":"2017-10-02T16:32:15","indexId":"70191260","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry, Nd-Pb Isotopes, and Pb-Pb Ages of the Mesoproterozoic Pea Ridge Iron Oxide-Apatite–Rare Earth Element Deposit, Southeast Missouri","docAbstract":"Iron oxide-apatite and iron oxide-copper-gold deposits occur within ~1.48 to 1.47 Ga volcanic rocks of the St. Francois Mountains terrane near a regional boundary separating crustal blocks having contrasting depleted-mantle Sm-Nd model ages (TDM). Major and trace element analyses and Nd and Pb isotope data were obtained to characterize the Pea Ridge deposit, improve identification of exploration targets, and better understand the regional distribution of mineralization with respect to crustal blocks. The Pea Ridge deposit is spatially associated with felsic volcanic rocks and plutons. Mafic to intermediate-composition rocks are volumetrically minor. Data for major element variations are commonly scattered and strongly suggest element mobility. Ratios of relatively immobile elements indicate that the felsic rocks are evolved subalkaline dacite and rhyolite; the mafic rocks are basalt to basaltic andesite. Granites and rhyolites display geochemical features typical of rocks produced by subduction. Rare earth element (REE) variations for the rhyolites are diagnostic of rocks affected by hydrothermal alteration and associated REE mineralization. The magnetite-rich rocks and REE-rich breccias show similar REE and mantle-normalized trace element patterns.
Nd isotope compositions (age corrected) show that: (1) host rhyolites have ɛNd from 3.44 to 4.25 and TDM from 1.51 to 1.59 Ga; (2) magnetite ore and specular hematite rocks display ɛNd from 3.04 to 4.21 and TDM from 1.6 to 1.51 Ga, and ɛNd from 2.23 to 2.81, respectively; (3) REE-rich breccias have ɛNd from 3.04 to 4.11 and TDM from 1.6 to 1.51 Ga; and (4) mafic to intermediate-composition rocks range in ɛNd from 2.35 to 3.66 and in TDM from 1.66 to 1.56. The ɛNd values of the magnetite and specular hematite samples show that the REE mineralization is magmatic; no evidence exists for major overprinting by younger, crustal meteoric fluids, or by externally derived Nd. Host rocks, breccias, and magnetite ore shared a common origin from a similar source.
Lead isotope ratios are diverse: (1) host rhyolite has 206Pb/204Pb from 24.261 to 50.091; (2) Pea Ridge and regional galenas have 206Pb/204Pb from 16.030 to 33.548; (3) REE-rich breccia, magnetite ore, and specular hematite rock are more radiogenic than galena; (4) REE-rich breccias have high 206Pb/204Pb (38.122–1277.61) compared to host rhyolites; and (5) REE-rich breccias are more radiogenic than magnetite ore and specular-hematite rock, having 206Pb/204Pb up to 230.65. Radiogenic 207Pb/206Pb age estimates suggest the following: (1) rhyolitic host rocks have ages of ~1.50 Ga, (2) magnetite ore is ~1.44 Ga, and (3) REE-rich breccias are ~1.48 Ga. These estimates are broadly consistent and genetically link the host rhyolite, REE-rich breccia, and magnetite ore as being contemporaneous.
Alteration style and mineralogical or textural distinctions among the magnetite-rich rocks and REE-rich breccias do not correlate with different isotopic sources. In our model, magmatic fluids leached metals from the coeval felsic rocks (rhyolites), which provided the metal source reflected in the compositions of the REE-rich breccias and mineralized rocks. This model allows for the likelihood of contributions from other genetically related felsic and intermediate to more mafic rocks stored deeper in the crust. The deposit thus records an origin as a magmatic-hydrothermal system that was not affected by Nd and Pb remobilization processes, particularly if these processes also triggered mixing with externally sourced metal-bearing fluids. The Pea Ridge deposit was part of a single, widespread, homogeneous mixing system that produced a uniform isotopic composition, thus representing an excellent example of an igneous-dominated system that generated coeval magmatism and REE mineralization. Geochemical features suggest that components in the Pea Ridge deposit originated from sources in an orogenic margin. Basaltic magmatism produced by mantle decompression melting provided heat for extracting melts from the middle or lower crust. Continual addition of mafic magmas to the base of the subcontinental lithosphere, in a back-arc setting, remelted calc-alkaline rocks enriched in metals that were stored in the crust.
The St. Francois Mountains terrane is adjacent to the regional TDM line (defined at a value of 1.55 Ga) that separates ~1600 Ma basement to the west, from younger basements to the east. Data for Pea Ridge straddle the TDM values proposed for the line. The Sm-Nd isotope system has been closed since formation of the deposit and the original igneous signatures have not been affected by cycles of alteration or superimposed mineralizing events. No evidence exists for externally derived Nd or Sm. The source region for metals within the Pea Ridge deposit had a moderate compositional variation and the REE-rich breccias and mineralized rocks are generally isotopically homogeneous. The Pea Ridge deposit thus constitutes a distinctive isotopic target for use as a model in identifying other mineralized systems that may share the same metal source in the St. Francois Mountains terrane and elsewhere in the eastern Granite-Rhyolite province.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.1935","usgsCitation":"Ayuso, R.A., Slack, J.F., Day, W.C., and McCafferty, A.E., 2016, Geochemistry, Nd-Pb Isotopes, and Pb-Pb Ages of the Mesoproterozoic Pea Ridge Iron Oxide-Apatite–Rare Earth Element Deposit, Southeast Missouri: Economic Geology, v. 111, no. 8, p. 1935-1962, https://doi.org/10.2113/econgeo.111.8.1935.","productDescription":"28 p.","startPage":"1935","endPage":"1962","ipdsId":"IP-070054","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":346336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.5,\n 37\n ],\n [\n -89,\n 37\n ],\n [\n -89,\n 38.5\n ],\n [\n -91.5,\n 38.5\n ],\n [\n -91.5,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"111","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"59d35028e4b05fe04cc34d5f","contributors":{"authors":[{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":711725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":711726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":711727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":711728,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187376,"text":"70187376 - 2016 - Deglacial temperature history of West Antarctica","interactions":[],"lastModifiedDate":"2018-03-23T13:39:40","indexId":"70187376","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Deglacial temperature history of West Antarctica","docAbstract":"The most recent glacial to interglacial transition constitutes a remarkable natural experiment for learning how Earth’s climate responds to various forcings, including a rise in atmospheric CO2. This transition has left a direct thermal remnant in the polar ice sheets, where the exceptional purity and continual accumulation of ice permit analyses not possible in other settings. For Antarctica, the deglacial warming has previously been constrained only by the water isotopic composition in ice cores, without an absolute thermometric assessment of the isotopes’ sensitivity to temperature. To overcome this limitation, we measured temperatures in a deep borehole and analyzed them together with ice-core data to reconstruct the surface temperature history of West Antarctica. The deglacial warming was
The Yukon River Basin, underlain by discontinuous permafrost, has experienced a warming climate over the last century that has altered air temperature, precipitation, and permafrost. We investigated a water chemistry database from 1982 to 2014 for the Yukon River and its major tributary, the Tanana River. Significant increases of Ca, Mg, and Na annual flux were found in both rivers. Additionally, SO4 and P annual flux increased in the Yukon River. No annual trends were observed for dissolved organic carbon (DOC) from 2001 to 2014. In the Yukon River, Mg and SO4 flux increased throughout the year, while some of the most positive trends for Ca, Mg, Na, SO4, and P flux occurred during the fall and winter months. Both rivers exhibited positive monthly DOC flux trends for summer (Yukon River) and winter (Tanana River). These trends suggest increased active layer expansion, weathering, and sulfide oxidation due to permafrost degradation throughout the Yukon River Basin.
","language":"English","publisher":"AGU","doi":"10.1002/2016GL070817","usgsCitation":"Toohey, R.C., Herman-Mercer, N.M., Schuster, P.F., Mutter, E.A., and Koch, J.C., 2016, Multidecadal increases in the Yukon River Basin of chemical fluxes as indicators of changing flowpaths, groundwater, and permafrost: Geophysical Research Letters, v. 43, no. 23, p. 12120-12130, https://doi.org/10.1002/2016GL070817.","productDescription":"11 p.","startPage":"12120","endPage":"12130","ipdsId":"IP-078772","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":470356,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/62390","text":"External Repository"},{"id":337486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yukon River Basin","volume":"43","issue":"23","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-03","publicationStatus":"PW","scienceBaseUri":"58c90124e4b0849ce97abcbf","contributors":{"authors":[{"text":"Toohey, Ryan C. 0000-0001-8248-5045 rtoohey@usgs.gov","orcid":"https://orcid.org/0000-0001-8248-5045","contributorId":5674,"corporation":false,"usgs":true,"family":"Toohey","given":"Ryan","email":"rtoohey@usgs.gov","middleInitial":"C.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":684182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":684183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":684184,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mutter, Edda A.","contributorId":174399,"corporation":false,"usgs":false,"family":"Mutter","given":"Edda","email":"","middleInitial":"A.","affiliations":[{"id":27447,"text":"Yukon River Inter-Tribal Watershed Council","active":true,"usgs":false}],"preferred":false,"id":684185,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":684186,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186381,"text":"70186381 - 2016 - Missing link between the Hayward and Rodgers Creek faults","interactions":[],"lastModifiedDate":"2017-04-04T15:10:12","indexId":"70186381","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Missing link between the Hayward and Rodgers Creek faults","docAbstract":"The next major earthquake to strike the ~7 million residents of the San Francisco Bay Area will most likely result from rupture of the Hayward or Rodgers Creek faults. Until now, the relationship between these two faults beneath San Pablo Bay has been a mystery. Detailed subsurface imaging provides definitive evidence of active faulting along the Hayward fault as it traverses San Pablo Bay and bends ~10° to the right toward the Rodgers Creek fault. Integrated geophysical interpretation and kinematic modeling show that the Hayward and Rodgers Creek faults are directly connected at the surface—a geometric relationship that has significant implications for earthquake dynamics and seismic hazard. A direct link enables simultaneous rupture of the Hayward and Rodgers Creek faults, a scenario that could result in a major earthquake (M = 7.4) that would cause extensive damage and loss of life with global economic impact.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.1601441","usgsCitation":"Watt, J., Ponce, D.A., Parsons, T.E., and Hart, P.E., 2016, Missing link between the Hayward and Rodgers Creek faults: Science Advances, v. 2, no. 10, p. 1-8, https://doi.org/10.1126/sciadv.1601441.","productDescription":"e1601441; 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-075884","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470369,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1601441","text":"Publisher Index Page"},{"id":339139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e4b0b2e4b09da679997784","contributors":{"authors":[{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":688419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":688420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":688421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":688422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185017,"text":"70185017 - 2016 - Managing climate change refugia for climate adaptation","interactions":[],"lastModifiedDate":"2020-07-28T15:28:05.150551","indexId":"70185017","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Managing climate change refugia for climate adaptation","docAbstract":"Refugia have long been studied from paleontological and biogeographical perspectives to understand how populations persisted during past periods of unfavorable climate. Recently, researchers have applied the idea to contemporary landscapes to identify climate change refugia, here defined as areas relatively buffered from contemporary climate change over time that enable persistence of valued physical, ecological, and socio-cultural resources. We differentiate historical and contemporary views, and characterize physical and ecological processes that create and maintain climate change refugia. We then delineate how refugia can fit into existing decision support frameworks for climate adaptation and describe seven steps for managing them. Finally, we identify challenges and opportunities for operationalizing the concept of climate change refugia. Managing climate change refugia can be an important option for conservation in the face of ongoing climate change.
","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0159909","usgsCitation":"Morelli, T.L., and Jackson, S.T., 2016, Managing climate change refugia for climate adaptation: PLoS ONE, v. 11, no. 8, e0159909, 17 p., https://doi.org/10.1371/journal.pone.0159909.","productDescription":"e0159909, 17 p.","ipdsId":"IP-065944","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":470388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0159909","text":"Publisher Index Page"},{"id":337518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"58c90124e4b0849ce97abcc5","contributors":{"authors":[{"text":"Morelli, Toni L. 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":189143,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":683962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":683961,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70185750,"text":"70185750 - 2016 - Isotope-abundance variations and atomic weights of selected elements: 2016 (IUPAC Technical Report)","interactions":[],"lastModifiedDate":"2017-03-29T09:54:05","indexId":"70185750","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3207,"text":"Pure and Applied Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Isotope-abundance variations and atomic weights of selected elements: 2016 (IUPAC Technical Report)","docAbstract":"There are 63 chemical elements that have two or more isotopes that are used to determine their standard atomic weights. The isotopic abundances and atomic weights of these elements can vary in normal materials due to physical and chemical fractionation processes (not due to radioactive decay). These variations are well known for 12 elements (hydrogen, lithium, boron, carbon, nitrogen, oxygen, magnesium, silicon, sulfur, chlorine, bromine, and thallium), and the standard atomic weight of each of these elements is given by IUPAC as an interval with lower and upper bounds. Graphical plots of selected materials and compounds of each of these elements have been published previously. Herein and at the URL http://dx.doi.org/10.5066/F7GF0RN2, we provide isotopic abundances, isotope-delta values, and atomic weights for each of the upper and lower bounds of these materials and compounds.
","language":"English","publisher":"De Gruyter","doi":"10.1515/pac-2016-0302","usgsCitation":"Coplen, T.B., and Shrestha, Y., 2016, Isotope-abundance variations and atomic weights of selected elements: 2016 (IUPAC Technical Report): Pure and Applied Chemistry, v. 88, no. 12, p. 1203-1224, https://doi.org/10.1515/pac-2016-0302.","productDescription":"22 p.","startPage":"1203","endPage":"1224","ipdsId":"IP-078266","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":462025,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1515/pac-2016-0302","text":"Publisher Index Page"},{"id":438496,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GF0RN2","text":"USGS data release","linkHelpText":"Tables and charts for isotope-abundance variations and atomic weights of selected elements: 2016"},{"id":338532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-06","publicationStatus":"PW","scienceBaseUri":"58dcc7d5e4b02ff32c685677","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shrestha, Yesha 0000-0002-9714-8516 yshrestha@usgs.gov","orcid":"https://orcid.org/0000-0002-9714-8516","contributorId":189970,"corporation":false,"usgs":true,"family":"Shrestha","given":"Yesha","email":"yshrestha@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686648,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187719,"text":"70187719 - 2016 - Conservation status of polar bears (Ursus maritimus) in relation to projected sea-ice declines","interactions":[],"lastModifiedDate":"2017-05-16T10:58:18","indexId":"70187719","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Conservation status of polar bears (Ursus maritimus) in relation to projected sea-ice declines","docAbstract":"Loss of Arctic sea ice owing to climate change is the primary threat to polar bears throughout their range. We evaluated the potential response of polar bears to sea-ice declines by (i) calculating generation length (GL) for the species, which determines the timeframe for conservation assessments; (ii) developing a standardized sea-ice metric representing important habitat; and (iii) using statistical models and computer simulation to project changes in the global population under three approaches relating polar bear abundance to sea ice. Mean GL was 11.5 years. Ice-covered days declined in all subpopulation areas during 1979–2014 (median −1.26 days year−1). The estimated probabilities that reductions in the mean global population size of polar bears will be greater than 30%, 50% and 80% over three generations (35–41 years) were 0.71 (range 0.20–0.95), 0.07 (range 0–0.35) and less than 0.01 (range 0–0.02), respectively. According to IUCN Red List reduction thresholds, which provide a common measure of extinction risk across taxa, these results are consistent with listing the species as vulnerable. Our findings support the potential for large declines in polar bear numbers owing to sea-ice loss, and highlight near-term uncertainty in statistical projections as well as the sensitivity of projections to different plausible assumptions.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsbl.2016.0556","usgsCitation":"Regehr, E.V., Laidre, K.L., Akcakaya, H.R., Amstrup, S.C., Atwood, T.C., Lunn, N., Obbard, M.E., Stern, H., Thiemann, G.W., and Wiig, Ø., 2016, Conservation status of polar bears (Ursus maritimus) in relation to projected sea-ice declines: Biology Letters, v. 12, p. 1-5, https://doi.org/10.1098/rsbl.2016.0556.","productDescription":"Article 20160556; 5 p.","startPage":"1","endPage":"5","ipdsId":"IP-077224","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470370,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsbl.2016.0556","text":"Publisher Index Page"},{"id":341339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591c0fc9e4b0a7fdb43ddef0","contributors":{"authors":[{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":695257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laidre, Kristin L.","contributorId":191798,"corporation":false,"usgs":false,"family":"Laidre","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":695258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akcakaya, H. Resit","contributorId":141126,"corporation":false,"usgs":false,"family":"Akcakaya","given":"H.","email":"","middleInitial":"Resit","affiliations":[{"id":13680,"text":"Department of Ecology and Evolution, Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":695259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":695260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":695256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lunn, Nicholas J.","contributorId":78421,"corporation":false,"usgs":true,"family":"Lunn","given":"Nicholas J.","affiliations":[],"preferred":false,"id":695261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Obbard, Martyn E.","contributorId":108002,"corporation":false,"usgs":false,"family":"Obbard","given":"Martyn","email":"","middleInitial":"E.","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":695262,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stern, Harry","contributorId":192065,"corporation":false,"usgs":false,"family":"Stern","given":"Harry","email":"","affiliations":[],"preferred":false,"id":695263,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":695264,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wiig, Øystein","contributorId":13469,"corporation":false,"usgs":true,"family":"Wiig","given":"Øystein","affiliations":[],"preferred":false,"id":695265,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70184993,"text":"70184993 - 2016 - Enabling science support for better decision-making when responding to chemical spills","interactions":[],"lastModifiedDate":"2018-08-07T12:26:05","indexId":"70184993","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Enabling science support for better decision-making when responding to chemical spills","docAbstract":"Chemical spills and accidents contaminate the environment and disrupt societies and economies around the globe. In the United States there were approximately 172,000 chemical spills that affected US waterbodies from 2004 to 2014. More than 8000 of these spills involved non–petroleum-related chemicals. Traditional emergency responses or incident command structures (ICSs) that respond to chemical spills require coordinated efforts by predominantly government personnel from multiple disciplines, including disaster management, public health, and environmental protection. However, the requirements of emergency response teams for science support might not be met within the traditional ICS. We describe the US ICS as an example of emergency-response approaches to chemical spills and provide examples in which external scientific support from research personnel benefitted the ICS emergency response, focusing primarily on nonpetroleum chemical spills. We then propose immediate, near-term, and long-term activities to support the response to chemical spills, focusing on nonpetroleum chemical spills. Further, we call for science support for spill prevention and near-term spill-incident response and identify longer-term research needs. The development of a formal mechanism for external science support of ICS from governmental and nongovernmental scientists would benefit rapid responders, advance incident- and crisis-response science, and aid society in coping with and recovering from chemical spills.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.","doi":"10.2134/jeq2016.03.0090","usgsCitation":"Weidhass, J.L., Dietrich, A.M., DeYonker, N.J., Dupont, R.R., Foreman, W., Gallagher, D., Gallagher, J.E., Whelton, A.J., and Alexander, W., 2016, Enabling science support for better decision-making when responding to chemical spills: Journal of Environmental Quality, v. 45, no. 5, p. 1490-1500, https://doi.org/10.2134/jeq2016.03.0090.","productDescription":"11 p.","startPage":"1490","endPage":"1500","ipdsId":"IP-071391","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"links":[{"id":470430,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2016.03.0090","text":"Publisher Index Page"},{"id":337430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9ce4b0849ce9795e7e","contributors":{"authors":[{"text":"Weidhass, Jennifer L.","contributorId":189096,"corporation":false,"usgs":false,"family":"Weidhass","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":683856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietrich, Andrea M.","contributorId":189097,"corporation":false,"usgs":false,"family":"Dietrich","given":"Andrea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":683857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeYonker, Nathan J.","contributorId":189098,"corporation":false,"usgs":false,"family":"DeYonker","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dupont, R. Ryan","contributorId":189099,"corporation":false,"usgs":false,"family":"Dupont","given":"R.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":683859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foreman, William T. 0000-0002-2530-3310 wforeman@usgs.gov","orcid":"https://orcid.org/0000-0002-2530-3310","contributorId":169108,"corporation":false,"usgs":true,"family":"Foreman","given":"William T. ","email":"wforeman@usgs.gov","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":false,"id":683855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallagher, Daniel","contributorId":189100,"corporation":false,"usgs":false,"family":"Gallagher","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":683860,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallagher, Jennifer E. G.","contributorId":189101,"corporation":false,"usgs":false,"family":"Gallagher","given":"Jennifer","email":"","middleInitial":"E. G.","affiliations":[],"preferred":false,"id":683861,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whelton, Andrew J.","contributorId":189102,"corporation":false,"usgs":false,"family":"Whelton","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683862,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Alexander, William","contributorId":189103,"corporation":false,"usgs":false,"family":"Alexander","given":"William","email":"","affiliations":[],"preferred":false,"id":683863,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70185762,"text":"70185762 - 2016 - Hurricane disturbance benefits nesting American Oystercatchers (Haematopus palliatus)","interactions":[],"lastModifiedDate":"2017-03-29T10:28:39","indexId":"70185762","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Hurricane disturbance benefits nesting American Oystercatchers (Haematopus palliatus)","docAbstract":"Coastal ecosystems are under increasing pressure from human activity, introduced species, sea level rise, and storm activity. Hurricanes are a powerful destructive force, but can also renew coastal habitats. In 2003, Hurricane Isabel altered the barrier islands of North Carolina, flattening dunes and creating sand flats. American Oystercatchers (Haematopus palliatus) are large shorebirds that inhabit the coastal zone throughout the year. Alternative survival models were evaluated for 699 American Oystercatcher nests on North Core Banks and South Core Banks, North Carolina, USA, from 1999–2007. Nest survival on North Core Banks increased from 0.170 (SE = 0.002) to 0.772 (SE = 0.090) after the hurricane, with a carry-over effect lasting 2 years. A simple year effects model described nest survival on South Core Banks. Habitat had no effect on survival except when the overall rate of nest survival was at intermediate levels (0.300–0.600), when nests on open flats survived at a higher rate (0.600; SE = 0.112) than nests in dune habitat (0.243; SE = 0.094). Predator activity declined on North Core Banks after the hurricane and corresponded with an increase in nest survival. Periodic years with elevated nest survival may offset low annual productivity and contribute to the stability of American Oystercatcher populations.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0402","usgsCitation":"Simons, T.R., and Schulte, S., 2016, Hurricane disturbance benefits nesting American Oystercatchers (Haematopus palliatus): Waterbirds, v. 39, no. 4, p. 327-337, https://doi.org/10.1675/063.039.0402.","productDescription":"11 p.","startPage":"327","endPage":"337","ipdsId":"IP-057574","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":338548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d5e4b02ff32c685673","contributors":{"authors":[{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":686695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Shiloh A.","contributorId":39911,"corporation":false,"usgs":true,"family":"Schulte","given":"Shiloh A.","affiliations":[],"preferred":false,"id":686762,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184985,"text":"70184985 - 2016 - Biological invasions, ecological resilience and adaptive governance","interactions":[],"lastModifiedDate":"2017-03-13T13:35:44","indexId":"70184985","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Biological invasions, ecological resilience and adaptive governance","docAbstract":"In a world of increasing interconnections in global trade as well as rapid change in climate and land cover, the accelerating introduction and spread of invasive species is a critical concern due to associated negative social and ecological impacts, both real and perceived. Much of the societal response to invasive species to date has been associated with negative economic consequences of invasions. This response has shaped a war-like approach to addressing invasions, one with an agenda of eradications and intense ecological restoration efforts towards prior or more desirable ecological regimes. This trajectory often ignores the concept of ecological resilience and associated approaches of resilience-based governance. We argue that the relationship between ecological resilience and invasive species has been understudied to the detriment of attempts to govern invasions, and that most management actions fail, primarily because they do not incorporate adaptive, learning-based approaches. Invasive species can decrease resilience by reducing the biodiversity that underpins ecological functions and processes, making ecosystems more prone to regime shifts. However, invasions do not always result in a shift to an alternative regime; invasions can also increase resilience by introducing novelty, replacing lost ecological functions or adding redundancy that strengthens already existing structures and processes in an ecosystem. This paper examines the potential impacts of species invasions on the resilience of ecosystems and suggests that resilience-based approaches can inform policy by linking the governance of biological invasions to the negotiation of tradeoffs between ecosystem services.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.04.040","usgsCitation":"Chaffin, B.C., Garmestani, A.S., Angeler, D., Herrmann, D.L., Stow, C., Nystrom, M., Sendzimir, J., Hopton, M.E., Kolasa, J., and Allen, C.R., 2016, Biological invasions, ecological resilience and adaptive governance: Journal of Environmental Management, v. 183, no. 2, p. 399-407, https://doi.org/10.1016/j.jenvman.2016.04.040.","productDescription":"9 p.","startPage":"399","endPage":"407","ipdsId":"IP-076225","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.04.040","text":"Publisher Index Page"},{"id":337436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9de4b0849ce9795e84","contributors":{"authors":[{"text":"Chaffin, Brian C.","contributorId":189131,"corporation":false,"usgs":false,"family":"Chaffin","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":683920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":683921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":683922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herrmann, Dustin L.","contributorId":189132,"corporation":false,"usgs":false,"family":"Herrmann","given":"Dustin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":683923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":683924,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nystrom, Magnus","contributorId":36460,"corporation":false,"usgs":true,"family":"Nystrom","given":"Magnus","email":"","affiliations":[],"preferred":false,"id":683925,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sendzimir, Jan","contributorId":57315,"corporation":false,"usgs":true,"family":"Sendzimir","given":"Jan","email":"","affiliations":[],"preferred":false,"id":683926,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hopton, Matthew E.","contributorId":189133,"corporation":false,"usgs":false,"family":"Hopton","given":"Matthew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683927,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kolasa, Jurek","contributorId":34767,"corporation":false,"usgs":true,"family":"Kolasa","given":"Jurek","email":"","affiliations":[],"preferred":false,"id":683928,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":683825,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70184984,"text":"70184984 - 2016 - Adaptive management for soil ecosystem services","interactions":[],"lastModifiedDate":"2017-03-13T13:40:53","indexId":"70184984","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Adaptive management for soil ecosystem services","docAbstract":"Ecosystem services provided by soil include regulation of the atmosphere and climate, primary (including agricultural) production, waste processing, decomposition, nutrient conservation, water purification, erosion control, medical resources, pest control, and disease mitigation. The simultaneous production of these multiple services arises from complex interactions among diverse aboveground and belowground communities across multiple scales. When a system is mismanaged, non-linear and persistent losses in ecosystem services can arise. Adaptive management is an approach to management designed to reduce uncertainty as management proceeds. By developing alternative hypotheses, testing these hypotheses and adjusting management in response to outcomes, managers can probe dynamic mechanistic relationships among aboveground and belowground soil system components. In doing so, soil ecosystem services can be preserved and critical ecological thresholds avoided. Here, we present an adaptive management framework designed to reduce uncertainty surrounding the soil system, even when soil ecosystem services production is not the explicit management objective, so that managers can reach their management goals without undermining soil multifunctionality or contributing to an irreversible loss of soil ecosystem services.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.06.024","usgsCitation":"Birge, H.E., Bevans, R.A., Allen, C.R., Angeler, D., Baer, S.G., and Wall, D., 2016, Adaptive management for soil ecosystem services: Journal of Environmental Management, v. 183, no. 2, p. 371-378, https://doi.org/10.1016/j.jenvman.2016.06.024.","productDescription":"8 p.","startPage":"371","endPage":"378","ipdsId":"IP-075671","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9de4b0849ce9795e86","contributors":{"authors":[{"text":"Birge, Hannah E.","contributorId":166737,"corporation":false,"usgs":false,"family":"Birge","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bevans, Rebecca A.","contributorId":189134,"corporation":false,"usgs":false,"family":"Bevans","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":683824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":683931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baer, Sara G.","contributorId":189135,"corporation":false,"usgs":false,"family":"Baer","given":"Sara","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":683932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wall, Diana H.","contributorId":189136,"corporation":false,"usgs":false,"family":"Wall","given":"Diana H.","affiliations":[],"preferred":false,"id":683933,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70184979,"text":"70184979 - 2016 - 3-D P- and S-wave velocity structure and low-frequency earthquake locations in the Parkfield, California region","interactions":[],"lastModifiedDate":"2017-03-14T15:44:12","indexId":"70184979","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"3-D P- and S-wave velocity structure and low-frequency earthquake locations in the Parkfield, California region","docAbstract":"To refine the 3-D seismic velocity model in the greater Parkfield, California region, a new data set including regular earthquakes, shots, quarry blasts and low-frequency earthquakes (LFEs) was assembled. Hundreds of traces of each LFE family at two temporary arrays were stacked with time–frequency domain phase weighted stacking method to improve signal-to-noise ratio. We extend our model resolution to lower crustal depth with LFE data. Our result images not only previously identified features but also low velocity zones (LVZs) in the area around the LFEs and the lower crust beneath the southern Rinconada Fault. The former LVZ is consistent with high fluid pressure that can account for several aspects of LFE behaviour. The latter LVZ is consistent with a high conductivity zone in magnetotelluric studies. A new Vs model was developed with S picks that were obtained with a new autopicker. At shallow depth, the low Vs areas underlie the strongest shaking areas in the 2004 Parkfield earthquake. We relocate LFE families and analyse the location uncertainties with the NonLinLoc and tomoDD codes. The two methods yield similar results.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggw217","usgsCitation":"Zeng, X., Thurber, C.H., Shelly, D.R., Harrington, R., Cochran, E.S., Bennington, N.L., Peterson, D., Guo, B., and McClement, K., 2016, 3-D P- and S-wave velocity structure and low-frequency earthquake locations in the Parkfield, California region: Geophysical Journal International, v. 206, no. 3, p. 1574-1585, https://doi.org/10.1093/gji/ggw217.","productDescription":"12 p.","startPage":"1574","endPage":"1585","ipdsId":"IP-070431","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggw217","text":"Publisher Index Page"},{"id":337540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Parkfield","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.5,\n 35\n ],\n [\n -119,\n 35\n ],\n [\n -119,\n 37\n ],\n [\n -121.5,\n 37\n ],\n [\n -121.5,\n 35\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"206","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-14","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abcc9","contributors":{"authors":[{"text":"Zeng, Xiangfang","contributorId":177477,"corporation":false,"usgs":false,"family":"Zeng","given":"Xiangfang","email":"","affiliations":[],"preferred":false,"id":683807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":683808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":683806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrington, Rebecca M.","contributorId":71089,"corporation":false,"usgs":true,"family":"Harrington","given":"Rebecca M.","affiliations":[],"preferred":false,"id":683809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":683810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennington, Ninfa L.","contributorId":172950,"corporation":false,"usgs":false,"family":"Bennington","given":"Ninfa","email":"","middleInitial":"L.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":684308,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, Dana","contributorId":189268,"corporation":false,"usgs":false,"family":"Peterson","given":"Dana","affiliations":[],"preferred":false,"id":684309,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guo, Bin","contributorId":189269,"corporation":false,"usgs":false,"family":"Guo","given":"Bin","email":"","affiliations":[],"preferred":false,"id":684310,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McClement, Kara","contributorId":189270,"corporation":false,"usgs":false,"family":"McClement","given":"Kara","email":"","affiliations":[],"preferred":false,"id":684311,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70178570,"text":"70178570 - 2016 - Graphical function mapping as a new way to explore cause-and-effect chains","interactions":[],"lastModifiedDate":"2018-02-28T14:36:31","indexId":"70178570","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Graphical function mapping as a new way to explore cause-and-effect chains","docAbstract":"Graphical function mapping provides a simple method for improving communication within interdisciplinary research teams and between scientists and nonscientists. This article introduces graphical function mapping using two examples and discusses its usefulness. Function mapping projects the outcome of one function into another to show the combined effect. Using this mathematical property in a simpler, even cartoon-like, graphical way allows the rapid combination of multiple information sources (models, empirical data, expert judgment, and guesses) in an intuitive visual to promote further discussion, scenario development, and clear communication.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2016.1221404","usgsCitation":"Evans, M.A., 2016, Graphical function mapping as a new way to explore cause-and-effect chains: Fisheries, v. 41, no. 11, p. 638-643, https://doi.org/10.1080/03632415.2016.1221404.","productDescription":"6 p.","startPage":"638","endPage":"643","ipdsId":"IP-060085","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":331372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"11","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-04","publicationStatus":"PW","scienceBaseUri":"584144dde4b04fc80e50737f","contributors":{"authors":[{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":4883,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":654409,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70178781,"text":"70178781 - 2016 - Oxygen, hydrogen, sulfur, and carbon isotopes in the Pea Ridge magnetite-apatite deposit, southeast Missouri, and sulfur isotope comparisons to other iron deposits in the region","interactions":[],"lastModifiedDate":"2016-12-07T14:09:06","indexId":"70178781","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Oxygen, hydrogen, sulfur, and carbon isotopes in the Pea Ridge magnetite-apatite deposit, southeast Missouri, and sulfur isotope comparisons to other iron deposits in the region","docAbstract":"Oxygen, hydrogen, sulfur, and carbon isotopes have been analyzed in the Pea Ridge magnetite-apatite deposit, the largest historic producer among the known iron deposits in the southeast Missouri portion of the 1.5 to 1.3 Ga eastern granite-rhyolite province. The data were collected to investigate the sources of ore fluids, conditions of ore formation, and provenance of sulfur, and to improve the general understanding of the copper, gold, and rare earth element potential of iron deposits regionally. The δ18O values of Pea Ridge magnetite are 1.9 to 4.0‰, consistent with a model in which some magnetite crystallized from a melt and other magnetite—perhaps the majority—precipitated from an aqueous fluid of magmatic origin. The δ18O values of quartz, apatite, actinolite, K-feldspar, sulfates, and calcite are significantly higher, enough so as to indicate growth or equilibration under cooler conditions than magnetite and/or in the presence of a fluid that was not entirely magmatic. A variety of observations, including stable isotope observations, implicate a second fluid that may ultimately have been meteoric in origin and may have been modified by isotopic exchange with rocks or by evaporation during storage in lakes.
Sulfur isotope analyses of sulfides from Pea Ridge and seven other mineral deposits in the region reveal two distinct populations that average 3 and 13‰. Two sulfur sources are implied. One was probably igneous melts or rocks belonging to the mafic- to intermediate-composition volcanic suite that is present at or near most of the iron deposits; the other was either melts or volcanic rocks that had degassed very extensively, or else volcanic lakes that had trapped rising magmatic gases. The higher δ34S values correspond to deposits or prospects where copper is noteworthy—the Central Dome portion of the Boss deposit, the Bourbon deposit, and the Vilander prospective area. The correspondence suggests that (1) sulfur either limited the deposition of copper or was cotransported with copper, and (2) sulfur isotope analysis may be useful in evaluating southeast Missouri iron deposits for copper and possibly for gold.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.2017","usgsCitation":"Johnson, C.A., Day, W.C., and Rye, R.O., 2016, Oxygen, hydrogen, sulfur, and carbon isotopes in the Pea Ridge magnetite-apatite deposit, southeast Missouri, and sulfur isotope comparisons to other iron deposits in the region: Economic Geology, v. 111, no. 8, p. 2017-2032, https://doi.org/10.2113/econgeo.111.8.2017.","productDescription":"16 p.","startPage":"2017","endPage":"2032","ipdsId":"IP-069800","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":331639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","volume":"111","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"58492df2e4b06d80b7b093a0","contributors":{"authors":[{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":655118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":655119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rye, Robert O. rrye@usgs.gov","contributorId":1486,"corporation":false,"usgs":true,"family":"Rye","given":"Robert","email":"rrye@usgs.gov","middleInitial":"O.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":655120,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179638,"text":"70179638 - 2016 - Multi-decadal increases in dissolved organic carbon and alkalinity flux from the Mackenzie drainage basin to the Arctic Ocean","interactions":[],"lastModifiedDate":"2017-01-09T11:24:20","indexId":"70179638","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Multi-decadal increases in dissolved organic carbon and alkalinity flux from the Mackenzie drainage basin to the Arctic Ocean","docAbstract":"Riverine exports of organic and inorganic carbon (OC, IC) to oceans are intricately linked to processes occurring on land. Across high latitudes, thawing permafrost, alteration of hydrologic flow paths, and changes in vegetation may all affect this flux, with subsequent implications for regional and global carbon (C) budgets. Using a unique, multi-decadal dataset of continuous discharge coupled with water chemistry measurements for the Mackenzie River, we show major increases in dissolved OC (DOC) and IC (as alkalinity) fluxes since the early 1970s, for a watershed that covers 1.8 M km2 of northwestern Canada, and provides substantial inputs of freshwater and biogeochemical constituents to the Arctic Ocean. Over a 39-year period of record, DOC flux at the Mackenzie mouth increased by 39.3% (44.5 ± 22.6 Gmol), while alkalinity flux increased by 12.5% (61.5 ± 60.1 Gmol). Isotopic analyses and substantial increases in sulfate flux indicate that increases in alkalinity are driven by accelerating sulfide oxidation, a process that liberates IC from rock and soils in the absence of CO2 consumption. Seasonal and sub-catchment trends suggest that permafrost thaw plays an important role in the observed increases in DOC and alkalinity: sub-catchment increases for all constituents are confined to northern, permafrost-affected regions, while observed increases in autumn to winter are consistent with documented landscape-scale changes that have resulted from changing thaw dynamics. This increase in DOC and sulfide-derived alkalinity represents a substantial intensification of land-to-ocean C mobilization, at a level that is significant within the regional C budget. The change we observe, for example, is similar to current and projected future rates of CO2 consumption by weathering in the Mackenzie basin.
","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/11/5/054015","usgsCitation":"Tank, S.E., Striegl, R.G., McClelland, J.W., and Kokelj, S.V., 2016, Multi-decadal increases in dissolved organic carbon and alkalinity flux from the Mackenzie drainage basin to the Arctic Ocean: Environmental Research Letters, v. 11, no. 5, p. 1-10, https://doi.org/10.1088/1748-9326/11/5/054015.","productDescription":"Article 054015; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-067063","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/11/5/054015","text":"Publisher Index Page"},{"id":332985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-11","publicationStatus":"PW","scienceBaseUri":"5874b0ade4b0a829a320bb65","contributors":{"authors":[{"text":"Tank, Suzanne E.","contributorId":150795,"corporation":false,"usgs":false,"family":"Tank","given":"Suzanne","email":"","middleInitial":"E.","affiliations":[{"id":18102,"text":"University of Alberta, Edmonton, Canada","active":true,"usgs":false}],"preferred":false,"id":658001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":658000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClelland, James W.","contributorId":94905,"corporation":false,"usgs":true,"family":"McClelland","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":658002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokelj, Steven V.","contributorId":178128,"corporation":false,"usgs":false,"family":"Kokelj","given":"Steven","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":658003,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178642,"text":"70178642 - 2016 - Unmanned aircraft systems in wildlife research: Current and future applications of a transformative technology","interactions":[],"lastModifiedDate":"2016-12-01T13:52:07","indexId":"70178642","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Unmanned aircraft systems in wildlife research: Current and future applications of a transformative technology","docAbstract":"Unmanned aircraft systems (UAS) – also called unmanned aerial vehicles (UAVs) or drones – are an emerging tool that may provide a safer, more cost-effective, and quieter alternative to traditional research methods. We review examples where UAS have been used to document wildlife abundance, behavior, and habitat, and illustrate the strengths and weaknesses of this technology with two case studies. We summarize research on behavioral responses of wildlife to UAS, and discuss the need to understand how recreational and commercial applications of this technology could disturb certain species. Currently, the widespread implementation of UAS by scientists is limited by flight range, regulatory frameworks, and a lack of validation. UAS are most effective when used to examine smaller areas close to their launch sites, whereas manned aircraft are recommended for surveying greater distances. The growing demand for UAS in research and industry is driving rapid regulatory and technological progress, which in turn will make them more accessible and effective as analytical tools.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/fee.1281","collaboration":"University of Alaska Fairbanks - Institute of Arctic Biology and Geophysical Institute","usgsCitation":"Christie, K.S., Gilbert, S.L., Brown, C., Hatfield, M., and Hanson, L., 2016, Unmanned aircraft systems in wildlife research: Current and future applications of a transformative technology: Frontiers in Ecology and the Environment, v. 14, no. 5, p. 241-251, https://doi.org/10.1002/fee.1281.","productDescription":"11 p.","startPage":"241","endPage":"251","ipdsId":"IP-070890","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":331410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584144dae4b04fc80e507363","contributors":{"authors":[{"text":"Christie, Katherine S.","contributorId":177114,"corporation":false,"usgs":false,"family":"Christie","given":"Katherine","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":654684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilbert, Sophie L.","contributorId":171535,"corporation":false,"usgs":false,"family":"Gilbert","given":"Sophie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":654685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Casey L.","contributorId":177116,"corporation":false,"usgs":false,"family":"Brown","given":"Casey L.","affiliations":[],"preferred":false,"id":654686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatfield, Michael","contributorId":177117,"corporation":false,"usgs":false,"family":"Hatfield","given":"Michael","email":"","affiliations":[],"preferred":false,"id":654687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Leanne hansonl@usgs.gov","contributorId":3231,"corporation":false,"usgs":true,"family":"Hanson","given":"Leanne","email":"hansonl@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":654675,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178627,"text":"70178627 - 2016 - Uncertainty quantification and propagation for projections of extremes in monthly area burned under climate change: A case study in the coastal plain of Georgia, USA","interactions":[],"lastModifiedDate":"2019-12-04T16:27:23","indexId":"70178627","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"16","title":"Uncertainty quantification and propagation for projections of extremes in monthly area burned under climate change: A case study in the coastal plain of Georgia, USA","docAbstract":"Human‐caused climate change is predicted to affect the frequency of hazard‐linked extremes. Unusually large wildfires are a type of extreme event that is constrained by climate and can be a hazard to society but also an important ecological disturbance. This chapter focuses on changes in the frequency of extreme monthly area burned by wildfires for the end of the 21st century for a wildfire‐prone region in the southeast United States. Predicting changes in area burned is complicated by the large and varied uncertainties in how the climate will change and in the models used to predict those changes. The chapter characterizes and quantifies multiple sources of uncertainty and propagate the expanded prediction intervals of future area burned. It illustrates that while accounting for multiple sources of uncertainty in global change science problems is a difficult task, it will be necessary in order to properly assess the risk of increased exposure to these society‐relevant events.
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