The Eagle Ford shale is a major continuous oil and gas resource play in southcentral Texas and a source for other oil accumulations in the East Texas Basin. As part of the U.S. Geological Survey’s (USGS) petroleum system assessment and research efforts, a coring program to obtain several immature, shallow cores from near the outcrop belt in central Texas has been undertaken. The first of these cores, USGS Gulf Coast #1 West Woodway, was collected near Waco, Texas, in September 2015 and has undergone extensive geochemical and mineralogical characterization using routine methods to ascertain variations in the lithologies and chemofacies present in the Eagle Ford at this locale. Approximately 270 ft of core was examined for this study, focusing on the Eagle Ford Group interval between the overlying Austin Chalk and underlying Buda Limestone (~20 ft of each). Based on previous work to identify the stratigraphy of the Eagle Ford Group in the Waco area and elsewhere (Liro et al., 1994; Robison, 1997; Ratcliffe et al., 2012; Boling and Dworkin, 2015; Fairbanks et al., 2016, and references therein), several lithological units were expected to be present, including the Pepper Shale (or Woodbine), the Lake Waco Formation (or Lower Eagle Ford, including the Bluebonnet, Cloice, and Bouldin or Flaggy Cloice members), and the South Bosque Member (Upper Eagle Ford). The results presented here indicate that there are three major chemofacies present in the cored interval, which are generally consistent with previous descriptions of the Eagle Ford Group in this area. The relatively high-resolution sampling (every two ft above the Buda, 432.8 ft depth, and below the Austin Chalk, 163.5 ft depth) provides great detail in terms of geochemical and mineralogical properties supplementing previous work on immature Eagle Ford Shale near the outcrop belt.
","language":"English","publisher":"Gulf Coast Association of Geological Societies Transactions","usgsCitation":"Birdwell, J.E., Boehlke, A., Paxton, S.T., Whidden, K.J., and Pearson, O.N., 2017, Geochemical and mineralogical characterization of the Eagle Ford Shale: Results from the USGS Gulf Coast #1 West Woodway core: Gulf Coast Association of Geological Societies Transactions, v. 67, p. 391-395.","productDescription":"5 p.","startPage":"391","endPage":"395","ipdsId":"IP-090525","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a48","contributors":{"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":721454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Stanley T. 0000-0002-9098-1740 spaxton@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-1740","contributorId":739,"corporation":false,"usgs":true,"family":"Paxton","given":"Stanley","email":"spaxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":721457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearson, Ofori N. 0000-0002-9550-1128 opearson@usgs.gov","orcid":"https://orcid.org/0000-0002-9550-1128","contributorId":1680,"corporation":false,"usgs":true,"family":"Pearson","given":"Ofori","email":"opearson@usgs.gov","middleInitial":"N.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721458,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196985,"text":"70196985 - 2017 - Diurnal feeding behavior of the American Eel Anguilla rostrata","interactions":[],"lastModifiedDate":"2018-05-14T15:54:18","indexId":"70196985","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diurnal feeding behavior of the American Eel Anguilla rostrata","title":"Diurnal feeding behavior of the American Eel Anguilla rostrata","docAbstract":"Despite potential to structure ecosystem food webs through top-down effects, the trophic interactions of the American Eel Anguilla rostrata remain largely understudied. All previous research on the trophic ecology of American Eel in inland aquatic ecosystems has been conducted in temperate continental regions of the species' range. These studies have led to a paradigm that American Eel is a nocturnally active benthic predator, which most commonly consumes benthic invertebrates. Tropical island streams and rivers have habitats and communities that are distinct from temperate counterparts, but comprise a large portion of the adult habitat in the American Eel's range. We documented a previously undescribed diurnal feeding behavior by American Eel in a Caribbean river and demonstrate that this behavior, and a shift toward more frequent daytime feeding, is linked to periodic mass migrations of postlarvae of amphidromous fish taxa, including the Sicydiine goby Sicydiumspp. Our findings indicate that periodic mass migrations of amphidromous postlarvae could function as a potentially important food source for American Eel in tropical regions of its distribution, despite the intermittence of availability. Furthermore, this suggests that the American Eel plays an important role in the structure of tropical lotic food webs through top-down effects that are potentially augmented by instream barriers.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2017.10.003","usgsCitation":"Engman, A.C., Fischer, J., Kwak, T.J., and Walter, M.J., 2017, Diurnal feeding behavior of the American Eel Anguilla rostrata: Food Webs, v. 13, p. 27-29, https://doi.org/10.1016/j.fooweb.2017.10.003.","productDescription":"3 p.","startPage":"27","endPage":"29","ipdsId":"IP-091277","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc2f8","contributors":{"authors":[{"text":"Engman, Augustin C.","contributorId":32145,"corporation":false,"usgs":false,"family":"Engman","given":"Augustin","email":"","middleInitial":"C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":735250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Jesse R.","contributorId":86618,"corporation":false,"usgs":true,"family":"Fischer","given":"Jesse R.","affiliations":[],"preferred":false,"id":735251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, Michael J.","contributorId":204871,"corporation":false,"usgs":false,"family":"Walter","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735252,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196823,"text":"70196823 - 2017 - Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2018-05-03T13:40:46","indexId":"70196823","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes","docAbstract":"Freshwater ecosystems provide many ecosystem services; however, they are often degraded as a result of human activity. To address ecosystem degradation in the Laurentian Great Lakes, Canada and the United States of America established the Great Lakes Water Quality Agreement (GLWQA). In 1987, 43 highly polluted and impacted areas were identified under the GLWQA as having one or more of 14 Beneficial Use Impairments (BUIs) to the physical and chemical habitat for fish, wildlife and humans, and were designated as Areas of Concern (AOC). Subnational jurisdictions combined with local stakeholders, with support from federal governments, developed plans to remediate and restore these sites. Biotelemetry (the tracking of animals using electronic tags) provides information on the spatial ecology of fish in the wild relevant to habitat management and stock assessment. Here, seven case studies are presented where biotelemetry data were directly incorporated within the AOC Remedial Action Plan (RAP) process. Specific applications include determining seasonal fish–habitat associations to inform habitat restoration plans, identifying the distribution of pollutant-indicator species to identify exposure risk to contamination sources, informing the development of fish passage facilities to enable fish to access fragmented upstream habitats, and assessing fish use of created or restored habitats. With growing capacity for fish biotelemetry research in the Great Lakes, we discuss the strengths and weaknesses of incorporating biotelemetry into AOC RAP processes to improve the science and practice of restoration and to facilitate the delisting of AOCs.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-017-0937-x","usgsCitation":"Brooks, J., Boston, C., Doka, S.E., Gorsky, D., Gustavson, K., Hondorp, D.W., Isermann, D.A., Midwood, J.D., Pratt, T., Rous, A.M., Withers, J.L., Krueger, C., and Cooke, S.J., 2017, Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes: Environmental Management, v. 60, no. 6, p. 1139-1154, https://doi.org/10.1007/s00267-017-0937-x.","productDescription":"16 p.","startPage":"1139","endPage":"1154","ipdsId":"IP-087436","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":353940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"60","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-22","publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc2fe","contributors":{"authors":[{"text":"Brooks, J.L.","contributorId":10759,"corporation":false,"usgs":true,"family":"Brooks","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":734637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boston, C.","contributorId":204672,"corporation":false,"usgs":false,"family":"Boston","given":"C.","email":"","affiliations":[],"preferred":false,"id":734638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doka, Susan E.","contributorId":173419,"corporation":false,"usgs":false,"family":"Doka","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":734639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":734640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gustavson, K.","contributorId":204674,"corporation":false,"usgs":false,"family":"Gustavson","given":"K.","email":"","affiliations":[],"preferred":false,"id":734641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":734615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734614,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Midwood, Jonathan D.","contributorId":74659,"corporation":false,"usgs":true,"family":"Midwood","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":734642,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pratt, T. C.","contributorId":203589,"corporation":false,"usgs":false,"family":"Pratt","given":"T. C.","affiliations":[{"id":34798,"text":"DFO Canada","active":true,"usgs":false}],"preferred":false,"id":734643,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rous, Andrew M.","contributorId":203583,"corporation":false,"usgs":false,"family":"Rous","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36663,"text":"Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada","active":true,"usgs":false}],"preferred":false,"id":734644,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Withers, J. L.","contributorId":204675,"corporation":false,"usgs":false,"family":"Withers","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":734645,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Krueger, C.C.","contributorId":97042,"corporation":false,"usgs":true,"family":"Krueger","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":734646,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cooke, S. J.","contributorId":55645,"corporation":false,"usgs":false,"family":"Cooke","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":734647,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70197420,"text":"70197420 - 2017 - A wideband magnetoresistive sensor for monitoring dynamic fault slip in laboratory fault friction experiments","interactions":[],"lastModifiedDate":"2018-06-04T10:33:36","indexId":"70197420","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"A wideband magnetoresistive sensor for monitoring dynamic fault slip in laboratory fault friction experiments","docAbstract":"A non-contact, wideband method of sensing dynamic fault slip in laboratory geophysical experiments employs an inexpensive magnetoresistive sensor, a small neodymium rare earth magnet, and user built application-specific wideband signal conditioning. The magnetoresistive sensor generates a voltage proportional to the changing angles of magnetic flux lines, generated by differential motion or rotation of the near-by magnet, through the sensor. The performance of an array of these sensors compares favorably to other conventional position sensing methods employed at multiple locations along a 2 m long × 0.4 m deep laboratory strike-slip fault. For these magnetoresistive sensors, the lack of resonance signals commonly encountered with cantilever-type position sensor mounting, the wide band response (DC to ≈ 100 kHz) that exceeds the capabilities of many traditional position sensors, and the small space required on the sample, make them attractive options for capturing high speed fault slip measurements in these laboratory experiments. An unanticipated observation of this study is the apparent sensitivity of this sensor to high frequency electomagnetic signals associated with fault rupture and (or) rupture propagation, which may offer new insights into the physics of earthquake faulting.
","language":"English","publisher":"MDPI","doi":"10.3390/s17122790","usgsCitation":"Kilgore, B.D., 2017, A wideband magnetoresistive sensor for monitoring dynamic fault slip in laboratory fault friction experiments: Sensors, v. 17, no. 12, p. 1-29, https://doi.org/10.3390/s17122790.","productDescription":"Article 2790; 29 p.","startPage":"1","endPage":"29","ipdsId":"IP-086979","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469279,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s17122790","text":"Publisher Index Page"},{"id":354685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-02","publicationStatus":"PW","scienceBaseUri":"5b155e00e4b092d9651e1b9c","contributors":{"authors":[{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":737099,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70190237,"text":"sir20175072 - 2017 - Groundwater model of the Great Basin carbonate and alluvial aquifer system version 3.0: Incorporating revisions in southwestern Utah and east central Nevada","interactions":[],"lastModifiedDate":"2017-12-04T10:30:46","indexId":"sir20175072","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5072","title":"Groundwater model of the Great Basin carbonate and alluvial aquifer system version 3.0: Incorporating revisions in southwestern Utah and east central Nevada","docAbstract":"The groundwater model described in this report is a new version of previously published steady-state numerical groundwater flow models of the Great Basin carbonate and alluvial aquifer system, and was developed in conjunction with U.S. Geological Survey studies in Parowan, Pine, and Wah Wah Valleys, Utah. This version of the model is GBCAAS v. 3.0 and supersedes previous versions. The objectives of the model for Parowan Valley were to simulate revised conceptual estimates of recharge and discharge, to estimate simulated aquifer storage properties and the amount of reduction in storage as a result of historical groundwater withdrawals, and to assess reduction in groundwater withdrawals necessary to mitigate groundwater-level declines in the basin. The objectives of the model for the area near Pine and Wah Wah Valleys were to recalibrate the model using new observations of groundwater levels and evapotranspiration of groundwater; to provide new estimates of simulated recharge, hydraulic conductivity, and interbasin flow; and to simulate the effects of proposed groundwater withdrawals on the regional flow system. Meeting these objectives required the addition of 15 transient calibration stress periods and 14 projection stress periods, aquifer storage properties, historical withdrawals in Parowan Valley, and observations of water-level changes in Parowan Valley.
Recharge in Parowan Valley and withdrawal from wells in Parowan Valley and two nearby wells in Cedar City Valley vary for each calibration stress period representing conditions from March 1940 to November 2013. Stresses, including recharge, are the same in each stress period as in the steady-state stress period for all areas outside of Parowan Valley. The model was calibrated to transient conditions only in Parowan Valley. Simulated storage properties outside of Parowan Valley were set the same as the Parowan Valley properties and are not considered calibrated.
Model observations in GBCAAS v. 3.0 are groundwater levels at wells and discharge locations; water-level changes; and discharge to springs, evapotranspiration of groundwater, rivers, and lakes. All observations in the model outside of Parowan Valley are considered to represent steady-state conditions. Composite scaled sensitivities indicate the observations of discharge to rivers and springs provide more information about model parameters in the model focus area than do water-level observations. Water levels and water-level changes, however, provide the only information about specific yield and specific storage parameters and provide more information about recharge and withdrawals in Parowan Valley than any other observation group.
Comparisons of simulated water levels and measured water levels in Parowan Valley indicated that the model fits the overall trend of declining water levels and provides reasonable estimates of long-term reduction in storage and of storage changes from 2012 to 2013. The conceptual and simulated groundwater budgets for Parowan Valley from November 2012 to November 2013 are similar, with recharge of about 20,000 acre-feet and discharge of about 45,000 acre-feet. In the simulation, historical withdrawals averaging about 28,000 acre-feet per year (acre-ft/yr) cause major changes in the groundwater system in Parowan Valley. These changes include the cessation of almost all natural discharge in the valley and the long-term removal of water from storage.
Simulated recharge in Pine Valley of 11,000 acre-ft/yr and in Wah Wah Valley of 3,200 acre-ft/yr is substantially less in GBCAAS v. 3.0 than that simulated by previous model versions. In addition, the valleys have less simulated inflow from and outflow to other hydrographic areas than were simulated by previous model versions. The effects of groundwater development in these valleys, however, are independent of the amount of water recharging in and flowing through the valleys. Groundwater withdrawals in Pine and Wah Wah Valleys will decrease groundwater storage (causing drawdown) until discharge in surrounding areas and mountain springs around the two valleys is reduced by the rate of withdrawal.
The model was used to estimate that reducing withdrawals in Parowan Valley from 35,000 to about 22,000 acre-ft/yr would likely stabilize groundwater levels in the valley if recharge varies as it did from about 1950 to 2012. The model was also used to demonstrate that withdrawals of 15,000 acre-ft/yr from Pine Valley and 6,500 acre-ft/yr from Wah Wah Valley could ultimately cause long-term steady-state water-level declines of about 1,900 feet near the withdrawal wells and of more than 5 feet in an area of about 10,500 square miles. The timing of drawdown and capture and the ultimate amount of drawdown are dependent on the proximity to areas of simulated natural groundwater discharge, simulated transmissivity, and simulated storage properties. The model projections are a representation of possible effects.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175072","collaboration":"Prepared in cooperation with the Utah Department of Natural Resources and the U.S. Bureau of Land Management","usgsCitation":"Brooks, L.E., 2017, Groundwater model of the Great Basin carbonate and alluvial aquifer system version 3.0: Incorporating revisions in southwestern Utah and east central Nevada: U.S. Geological Survey Scientific Investigations Report 2017–5072, 77 p., 2 appendixes, https://doi.org/10.3133/sir20175072.","productDescription":"Report: x, 77 p.; Appendix Tables; Data Release","numberOfPages":"92","onlineOnly":"Y","ipdsId":"IP-073792","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":349442,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5072/sir20175072.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5072"},{"id":349441,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5072/coverthb.jpg"},{"id":349505,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2017-5072.xml","text":"Data Release","description":"SIR 2017-5072","linkHelpText":"MODFLOW-LGR data sets for the Great Basin carbonate and alluvial aquifer system model version 3.0: Revisions in southwestern Utah and east central Nevada"},{"id":349444,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5072/sir20175072_appendix1table5_6.zip","text":"Appendix 1 Tables 5 and 6","size":"400 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2017-5072"}],"country":"United States","state":"Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.25,\n 37.5\n ],\n [\n -111.75,\n 37.5\n ],\n [\n -111.75,\n 40\n ],\n [\n -114.25,\n 40\n ],\n [\n -114.25,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Utah Water Science Center
U.S. Geological Survey
2329 West Orton Circle
Salt Lake City, UT 84119-2047
The Yakima fold province, located in the backarc of the Cascadia subduction zone, is a region of active strain accumulation and deformation distributed across a series of fault-cored folds. The geodetic network in central Washington has been used to interpret large-scale N-S shortening and westward-increasing strain; however, geodetic data are unable to resolve shortening rates across individual structures in this low-strain-rate environment. Resolving fault geometries, slip rates, and timing of faulting in the Yakima fold province is critically important to seismic hazard assessment for nearby infrastructure and population centers.
The Saddle Mountains anticline is one of the most prominent Yakima folds. It is unique within the Yakima fold province in that the syntectonic strata of the Ringold Formation are preserved and provide a record of deformation and drainage reorganization. Here, we present new stratigraphic columns, U-Pb zircon tephra ages, U-series caliche ages, and geophysical modeling that constrain two line-balanced and retrodeformed cross sections. These new constraints indicate that the Saddle Mountains anticline has accommodated 1.0−1.3 km of N-S shortening since 10 Ma, that shortening increases westward along the anticline, and that the average slip rate has increased 6-fold since 6.8 Ma. Provenance analysis suggests that the source terrane for the Ringold Formation was similar to that of the modern Snake River Plain. Using new slip rates and structural constraints, we calculate the strain accumulation time, interpretable as a recurrence interval, for earthquakes on the Saddle Mountains fault and find that large-magnitude earthquakes could rupture along the Saddle Mountains fault every 2−11 k.y.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31783.1","usgsCitation":"Staisch, L.M., Kelsey, H., Sherrod, B.L., Moller, A., Paces, J.B., Blakely, R.J., and Styron, R., 2017, Miocene−Pleistocene deformation of the Saddle Mountains: Implications for seismic hazard in central Washington, USA: GSA Bulletin, v. 130, no. 3-4, p. 411-437, https://doi.org/10.1130/B31783.1.","productDescription":"27 p.","startPage":"411","endPage":"437","ipdsId":"IP-084555","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120,\n 46.5\n ],\n [\n -119,\n 46.5\n ],\n [\n -119,\n 47\n ],\n [\n -120,\n 47\n ],\n [\n -120,\n 46.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"130","issue":"3-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-10","publicationStatus":"PW","scienceBaseUri":"5a60faf7e4b06e28e9c22a29","contributors":{"authors":[{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelsey, Harvey","contributorId":106978,"corporation":false,"usgs":true,"family":"Kelsey","given":"Harvey","affiliations":[],"preferred":false,"id":724270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":724271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moller, Andreas","contributorId":201081,"corporation":false,"usgs":false,"family":"Moller","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":724272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":724273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724274,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Styron, Richard","contributorId":201082,"corporation":false,"usgs":false,"family":"Styron","given":"Richard","email":"","affiliations":[],"preferred":false,"id":724275,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70195649,"text":"70195649 - 2017 - A mass balance approach to investigate arsenic cycling in a petroleum plume","interactions":[],"lastModifiedDate":"2018-02-26T10:51:31","indexId":"70195649","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"A mass balance approach to investigate arsenic cycling in a petroleum plume","docAbstract":"Natural attenuation of organic contaminants in groundwater can give rise to a series of complex biogeochemical reactions that release secondary contaminants to groundwater. In a crude oil contaminated aquifer, biodegradation of petroleum hydrocarbons is coupled with the reduction of ferric iron (Fe(III)) hydroxides in aquifer sediments. As a result, naturally occurring arsenic (As) adsorbed to Fe(III) hydroxides in the aquifer sediment is mobilized from sediment into groundwater. However, Fe(III) in sediment of other zones of the aquifer has the capacity to attenuate dissolved As via resorption. In order to better evaluate how long-term biodegradation coupled with Fe-reduction and As mobilization can redistribute As mass in contaminated aquifer, we quantified mass partitioning of Fe and As in the aquifer based on field observation data. Results show that Fe and As are spatially correlated in both groundwater and aquifer sediments. Mass partitioning calculations demonstrate that 99.9% of Fe and 99.5% of As are associated with aquifer sediment. The sediments act as both sources and sinks for As, depending on the redox conditions in the aquifer. Calculations reveal that at least 78% of the original As in sediment near the oil has been mobilized into groundwater over the 35-year lifespan of the plume. However, the calculations also show that only a small percentage of As (∼0.5%) remains in groundwater, due to resorption onto sediment. At the leading edge of the plume, where groundwater is suboxic, sediments sequester Fe and As, causing As to accumulate to concentrations 5.6 times greater than background concentrations. Current As sinks can serve as future sources of As as the plume evolves over time. The mass balance approach used in this study can be applied to As cycling in other aquifers where groundwater As results from biodegradation of an organic carbon point source coupled with Fe reduction.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2017.08.110","usgsCitation":"Ziegler, B.A., Schreiber, M.E., Cozzarelli, I.M., and Crystal, N.G., 2017, A mass balance approach to investigate arsenic cycling in a petroleum plume: Environmental Pollution, v. 231, no. 2, p. 1351-1361, https://doi.org/10.1016/j.envpol.2017.08.110.","productDescription":"11 p.","startPage":"1351","endPage":"1361","ipdsId":"IP-087989","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469278,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2017.08.110","text":"Publisher Index Page"},{"id":438139,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7280648","text":"USGS data release","linkHelpText":"Arsenic and Iron data for mass balance calculations to investigate arsenic cycling in a petroleum plume"},{"id":351998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"231","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc337","contributors":{"authors":[{"text":"Ziegler, Brady A.","contributorId":138960,"corporation":false,"usgs":false,"family":"Ziegler","given":"Brady","email":"","middleInitial":"A.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":729557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreiber, Madeline E.","contributorId":138959,"corporation":false,"usgs":false,"family":"Schreiber","given":"Madeline","email":"","middleInitial":"E.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":729558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":729556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crystal, Ng. G.-H.","contributorId":202782,"corporation":false,"usgs":false,"family":"Crystal","given":"Ng.","email":"","middleInitial":"G.-H.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":729559,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195672,"text":"70195672 - 2017 - Evaluating factors driving population densities of mayfly nymphs in Western Lake Erie","interactions":[],"lastModifiedDate":"2018-02-27T09:53:47","indexId":"70195672","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating factors driving population densities of mayfly nymphs in Western Lake Erie","docAbstract":"Mayfly (Hexagenia spp.) nymphs have been widely used as indicators of water and substrate quality in lakes. Thermal stratification and the subsequent formation of benthic hypoxia may result in nymph mortality. Our goal was to identify potential associations between recent increases in temperature and eutrophication, which exacerbate hypoxic events in lakes, and mayfly populations in Lake Erie. Nymphs were collected during April–May 1999–2014. We used wind and temperature data to calculate four measures of thermal stratification, which drives hypoxic events, during summers of 1998–2013. Bottom trawl data collected during August 1998–2013 were used to estimate annual biomass of fishes known to be predators of mayfly nymphs. We used Akaike's Information Criterion to identify the best one- and two-predictor regression models of annual population densities (N/m2) of age-1 and age-2 nymphs, in which candidate predictors included the four measures of stratification, predator fish biomass, competition, and population densities of age-2 (for age-1) and age-1 (for age-2) nymphs from the previous year. Densities of both age classes of nymphs declined over the time series. Population densities of age-1 and age-2 nymphs from the previous year best predicted annual population densities of nymphs of both age classes. However, hypoxic conditions (indicated by stratification) and predation both had negative effects on annual population density of mayflies. Compared with predation, hypoxia had an inconsistent effect on annual nymph density. The increases in temperature and eutrophication in Lake Erie, which exacerbate hypoxic events, may have drastic effects on the mayfly populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.09.007","usgsCitation":"Stapanian, M.A., Kocovsky, P., and Bodamer Scarbro, B.L., 2017, Evaluating factors driving population densities of mayfly nymphs in Western Lake Erie: Journal of Great Lakes Research, v. 43, no. 6, p. 1111-1118, https://doi.org/10.1016/j.jglr.2017.09.007.","productDescription":"8 p.","startPage":"1111","endPage":"1118","ipdsId":"IP-081809","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.50296020507811,\n 41.40462579877838\n ],\n [\n -82.496337890625,\n 41.40462579877838\n ],\n [\n -82.496337890625,\n 42.097203425683055\n ],\n [\n -83.50296020507811,\n 42.097203425683055\n ],\n [\n -83.50296020507811,\n 41.40462579877838\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc335","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodamer Scarbro, Betsy L. 0000-0002-9022-7027 bbodamerscarbro@usgs.gov","orcid":"https://orcid.org/0000-0002-9022-7027","contributorId":5857,"corporation":false,"usgs":true,"family":"Bodamer Scarbro","given":"Betsy","email":"bbodamerscarbro@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197079,"text":"70197079 - 2017 - Meeting the challenge of interacting threats in freshwater ecosystems: A call to scientists and managers","interactions":[],"lastModifiedDate":"2018-05-16T16:26:16","indexId":"70197079","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Meeting the challenge of interacting threats in freshwater ecosystems: A call to scientists and managers","docAbstract":"Human activities create threats that have consequences for freshwater ecosystems and, in most watersheds, observed ecological responses are the result of complex interactions among multiple threats and their associated ecological alterations. Here we discuss the value of considering multiple threats in research and management, offer suggestions for filling knowledge gaps, and provide guidance for addressing the urgent management challenges posed by multiple threats in freshwater ecosystems. There is a growing literature assessing responses to multiple alterations, and we build off this background to identify three areas that require greater attention: linking observed alterations to threats, understanding when and where threats overlap, and choosing metrics that best quantify the effects of multiple threats. Advancing science in these areas will help us understand existing ecosystem conditions and predict future risk from multiple threats. Because addressing the complex issues and novel ecosystems that arise from the interaction of multiple threats in freshwater ecosystems represents a significant management challenge, and the risks of management failure include loss of biodiversity, ecological goods, and ecosystem services, we also identify actions that could improve decision-making and management outcomes. These actions include drawing insights from management of individual threats, using threat attributes (e.g., causes and spatio-temporal dynamics) to identify suitable management approaches, testing management strategies that are likely to be successful despite uncertainties about the nature of interactions among threats, avoiding unintended consequences, and maximizing conservation benefits. We also acknowledge the broadly applicable challenges of decision-making within a socio-political and economic framework, and suggest that multidisciplinary teams will be needed to innovate solutions to meet the current and future challenge of interacting threats in freshwater ecosystems.
","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.256","usgsCitation":"Craig, L.S., Olden, J., Arthington, A., Entrekin, S., Hawkins, C.P., Kelly, J.J., Kennedy, T., Maitland, B.M., Rosi, E.J., Roy, A.H., Strayer, D.L., Tank, J., West, A.O., and Wooten, M.S., 2017, Meeting the challenge of interacting threats in freshwater ecosystems: A call to scientists and managers: Elementa: Science of the Anthropocene, Article 72; 15 p., https://doi.org/10.1525/elementa.256.","productDescription":"Article 72; 15 p.","ipdsId":"IP-088263","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469284,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.256","text":"Publisher Index Page"},{"id":354229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-06","publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc2f2","contributors":{"authors":[{"text":"Craig, Laura S.","contributorId":195611,"corporation":false,"usgs":false,"family":"Craig","given":"Laura","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":735546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arthington, Angela","contributorId":169474,"corporation":false,"usgs":false,"family":"Arthington","given":"Angela","affiliations":[{"id":25525,"text":"Australian Rivers Institute","active":true,"usgs":false}],"preferred":false,"id":735547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Entrekin, Sally","contributorId":147949,"corporation":false,"usgs":false,"family":"Entrekin","given":"Sally","affiliations":[{"id":16964,"text":"University of Central Arkansas","active":true,"usgs":false}],"preferred":false,"id":735548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hawkins, Charles P.","contributorId":198331,"corporation":false,"usgs":false,"family":"Hawkins","given":"Charles","email":"","middleInitial":"P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":735549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, John J.","contributorId":204954,"corporation":false,"usgs":false,"family":"Kelly","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":3320,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":735551,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maitland, Bryan M. bmaitland@usgs.gov","contributorId":5168,"corporation":false,"usgs":true,"family":"Maitland","given":"Bryan","email":"bmaitland@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":735552,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rosi, Emma J.","contributorId":201758,"corporation":false,"usgs":false,"family":"Rosi","given":"Emma","email":"","middleInitial":"J.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":735553,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735499,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Strayer, David L.","contributorId":90682,"corporation":false,"usgs":true,"family":"Strayer","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":735554,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tank, Jennifer L.","contributorId":103870,"corporation":false,"usgs":true,"family":"Tank","given":"Jennifer L.","affiliations":[],"preferred":false,"id":735555,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"West, Amie O.","contributorId":204955,"corporation":false,"usgs":false,"family":"West","given":"Amie","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":735556,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wooten, Matthew S.","contributorId":204956,"corporation":false,"usgs":false,"family":"Wooten","given":"Matthew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735557,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70196240,"text":"70196240 - 2017 - Spatial mismatch between sea lamprey behaviour and trap location explains low success at trapping for control","interactions":[],"lastModifiedDate":"2018-03-28T11:42:11","indexId":"70196240","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial mismatch between sea lamprey behaviour and trap location explains low success at trapping for control","docAbstract":"Crucial to the management of invasive species is understanding space use and the environmental features affecting space use. Improved understanding of space use by invasive sea lamprey (Petromyzon marinus) could help researchers discern why trap success in large rivers is lower than needed for effective control. We tested whether manipulating discharge nightly could increase trap success at a hydroelectric generating station on the St. Marys River. We quantified numbers of acoustically tagged sea lampreys migrating up to, and their space use at, the hydroelectric generating station. In 2011 and 2012, 78% and 68%, respectively, of tagged sea lampreys reached the generating station. Sea lampreys were active along the face, but more likely to occur at the bottom and away from the traps near the surface, especially when discharge was high. Our findings suggest that a low probability of encountering traps was due to spatial (vertical) mismatch between space use by sea lamprey and trap locations and that increasing discharge did not alter space use in ways that increased trap encounter. Understanding space use by invasive species can help managers assess the efficacy of trapping and ways of improving trapping success.
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suitable personal disposition, who engages across social, professional, and disciplinary boundaries to partner with decision makers to achieve practical environmental solutions. Becoming a translational ecologist requires specific attention to obtaining critical non‐scientific disciplinary breadth and skills that are not typically gained through graduate‐level education. Here, we outline a need for individuals with broad training in interdisciplinary skills, use our personal experiences as a basis for assessing the types of interdisciplinary skills that would benefit potential translational ecologists, and present steps that interested ecologists may take toward becoming translational. Skills relevant to translational ecologists may be garnered through personal experiences, informal training, short courses, fellowships, and graduate programs, among others. We argue that a translational ecology workforce is needed to bridge the gap between science and natural resource decisions. Furthermore, we argue that this task is a cooperative responsibility of individuals interested in pursuing these careers, educational institutions interested in training scientists for professional roles outside of academia, and employers seeking to hire skilled workers who can foster stakeholder‐engaged decision making.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1732","usgsCitation":"Schwartz, M.W., Hiers, J.K., Davis, F.W., Garfin, G., Jackson, S.T., Terando, A.J., Woodhouse, C.A., Morelli, T.L., Williamson, M.A., and Brunson, M.W., 2017, Developing a translational ecology workforce: Frontiers in Ecology and the Environment, v. 15, no. 10, p. 587-596, https://doi.org/10.1002/fee.1732.","productDescription":"10 p.","startPage":"587","endPage":"596","ipdsId":"IP-084781","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":482053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1732","text":"Publisher Index Page"},{"id":352888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79ee4b0da30c1bfc31e","contributors":{"authors":[{"text":"Schwartz, Mark W.","contributorId":145938,"corporation":false,"usgs":false,"family":"Schwartz","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":731915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hiers, J. Kevin","contributorId":173986,"corporation":false,"usgs":false,"family":"Hiers","given":"J.","email":"","middleInitial":"Kevin","affiliations":[{"id":27330,"text":"University of the South; Sewanee, TN","active":true,"usgs":false}],"preferred":false,"id":731916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Frank W.","contributorId":150406,"corporation":false,"usgs":false,"family":"Davis","given":"Frank","email":"","middleInitial":"W.","affiliations":[{"id":18015,"text":"Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":731917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garfin, Gregg","contributorId":97740,"corporation":false,"usgs":true,"family":"Garfin","given":"Gregg","affiliations":[],"preferred":false,"id":731918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":731914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":731919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":731985,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":731920,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williamson, Matthew A.","contributorId":201232,"corporation":false,"usgs":false,"family":"Williamson","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":731986,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brunson, Mark W.","contributorId":195697,"corporation":false,"usgs":false,"family":"Brunson","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":731987,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70196276,"text":"70196276 - 2017 - Genetic implications of bottleneck effects of differing severities on genetic diversity in naturally recovering populations: An example from Hawaiian coot and Hawaiian gallinule","interactions":[],"lastModifiedDate":"2018-03-30T10:46:58","indexId":"70196276","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Genetic implications of bottleneck effects of differing severities on genetic diversity in naturally recovering populations: An example from Hawaiian coot and Hawaiian gallinule","docAbstract":"The evolutionary trajectory of populations through time is influenced by the interplay of forces (biological, evolutionary, and anthropogenic) acting on the standing genetic variation. We used microsatellite and mitochondrial loci to examine the influence of population declines, of varying severity, on genetic diversity within two Hawaiian endemic waterbirds, the Hawaiian coot and Hawaiian gallinule, by comparing historical (samples collected in the late 1800s and early 1900s) and modern (collected in 2012–2013) populations. Population declines simultaneously experienced by Hawaiian coots and Hawaiian gallinules differentially shaped the evolutionary trajectory of these two populations. Within Hawaiian coot, large reductions (between −38.4% and −51.4%) in mitochondrial diversity were observed, although minimal differences were observed in the distribution of allelic and haplotypic frequencies between sampled time periods. Conversely, for Hawaiian gallinule, allelic frequencies were strongly differentiated between time periods, signatures of a genetic bottleneck were detected, and biases in means of the effective population size were observed at microsatellite loci. The strength of the decline appears to have had a greater influence on genetic diversity within Hawaiian gallinule than Hawaiian coot, coincident with the reduction in census size. These species exhibit similar life history characteristics and generation times; therefore, we hypothesize that differences in behavior and colonization history are likely playing a large role in how allelic and haplotypic frequencies are being shaped through time. Furthermore, differences in patterns of genetic diversity within Hawaiian coot and Hawaiian gallinule highlight the influence of demographic and evolutionary processes in shaping how species respond genetically to ecological stressors.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3530","usgsCitation":"Sonsthagen, S.A., Wilson, R.E., and Underwood, J.G., 2017, Genetic implications of bottleneck effects of differing severities on genetic diversity in naturally recovering populations: An example from Hawaiian coot and Hawaiian gallinule: Ecology and Evolution, v. 7, no. 23, p. 9925-9934, https://doi.org/10.1002/ece3.3530.","productDescription":"10 p.","startPage":"9925","endPage":"9934","ipdsId":"IP-085014","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":469288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3530","text":"Publisher Index Page"},{"id":352990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"23","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","scienceBaseUri":"5afee79ee4b0da30c1bfc318","contributors":{"authors":[{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":732032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Underwood, Jared G.","contributorId":198606,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":732033,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194514,"text":"70194514 - 2017 - Mineralogical characterization of weathered outcrops as a tool for constraining water chemistry predictions during project planning","interactions":[],"lastModifiedDate":"2017-12-06T10:45:16","indexId":"70194514","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mineralogical characterization of weathered outcrops as a tool for constraining water chemistry predictions during project planning","docAbstract":"Weathered samples from naturally exposed outcrops of troctolite associated with a magmatic\nNi-Cu sulphide deposit were characterized by synchrotron-based micro-X-ray fluorescence mapping\n(µ-XRF) and X-ray absorption spectroscopy (XAS), as well as by lab-based X-ray diffraction, electron\nmicroscopy, Raman spectroscopy and wet chemical methods. Metal mobility in weathered samples\nwas assessed using a sequential leach procedure. Results are interpreted in the context of predictions\nfor future mine water chemistry and used to refine the conceptual model for metal mobility following\nweathering of waste rock at a potential future mine site.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of IMWA 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Mine Water Association","usgsCitation":"Diedrich, T., Fix, P., and Foster, A.L., 2017, Mineralogical characterization of weathered outcrops as a tool for constraining water chemistry predictions during project planning, in Proceedings of IMWA 2017, p. 712-719.","productDescription":"8 p.","startPage":"712","endPage":"719","ipdsId":"IP-083887","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349605,"type":{"id":15,"text":"Index Page"},"url":"https://imwa.info/imwaconferencesandcongresses/proceedings/300-proceedings-2017.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a34","contributors":{"authors":[{"text":"Diedrich, Tamara","contributorId":201055,"corporation":false,"usgs":false,"family":"Diedrich","given":"Tamara","email":"","affiliations":[],"preferred":false,"id":724214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fix, Paul","contributorId":201056,"corporation":false,"usgs":false,"family":"Fix","given":"Paul","email":"","affiliations":[],"preferred":false,"id":724215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724213,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195140,"text":"70195140 - 2017 - Quake warnings, seismic culture","interactions":[],"lastModifiedDate":"2018-02-07T15:09:49","indexId":"70195140","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Quake warnings, seismic culture","docAbstract":"Since 1990, nearly one million people have died from the impacts of earthquakes. Reducing those impacts requires building a local seismic culture in which residents are aware of earthquake risks and value efforts to mitigate harm. Such efforts include earthquake early warning (EEW) systems that provide seconds to minutes notice of pending shaking. Recent events in Mexico provide an opportunity to assess performance and perception of an EEW system and highlight areas for further improvement. We have learned that EEW systems, even imperfect ones, can help people prepare for earthquakes and build local seismic culture, both beneficial in reducing earthquake-related losses.
","language":"English","publisher":"American Association for the Advancement of Science (AAAS)","doi":"10.1126/science.aar4640","usgsCitation":"Allen, R.M., Cochran, E.S., Huggins, T., Miles, S., and Otegui, D., 2017, Quake warnings, seismic culture: Science, v. 358, no. 6367, p. 1111-1111, https://doi.org/10.1126/science.aar4640.","productDescription":"1 p.","startPage":"1111","endPage":"1111","ipdsId":"IP-091994","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":351290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"358","issue":"6367","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e78e4b00f54eb22931d","contributors":{"authors":[{"text":"Allen, Richard M.","contributorId":139575,"corporation":false,"usgs":false,"family":"Allen","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":727119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":727118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huggins, Tom","contributorId":201866,"corporation":false,"usgs":false,"family":"Huggins","given":"Tom","email":"","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":727120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, Scott","contributorId":201867,"corporation":false,"usgs":false,"family":"Miles","given":"Scott","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":727121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otegui, Diego","contributorId":201868,"corporation":false,"usgs":false,"family":"Otegui","given":"Diego","email":"","affiliations":[{"id":36275,"text":"UD","active":true,"usgs":false}],"preferred":false,"id":727122,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194677,"text":"70194677 - 2017 - How many Laysan Teal Anas laysanensis are on Midway Atoll? Methods for monitoring abundance after reintroduction","interactions":[],"lastModifiedDate":"2018-01-08T14:36:50","indexId":"70194677","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"displayTitle":"How many Laysan Teal Anas laysanensis are on Midway Atoll? Methods for monitoring abundance after reintroduction","title":"How many Laysan Teal Anas laysanensis are on Midway Atoll? Methods for monitoring abundance after reintroduction","docAbstract":"Wildlife managers often request a simple approach to monitor the status of species of concern. In response to that need, we used eight years of monitoring data to estimate population size and test the validity of an index for monitoring accurately the abundance of reintroduced, endangered Laysan Teal Anas laysanensis. The population was established at Midway Atoll in the Hawaiian archipelago after 42 wild birds were translocated from Laysan Island during 2004–2005. We fitted 587 birds with unique markers during 2004–2015, recorded 21,309 sightings until March 2016, and conducted standardised survey counts during 2007–2015. A modified Lincoln-Petersen mark-resight estimator and ANCOVA models were used to test the relationship between survey counts, seasonal detectability, and population abundance. Differences were found between the breeding and non-breeding seasons in detection and how maximum counts recorded related to population estimates. The results showed strong, positive correlations between the seasonal maximum counts and population estimates. The ANCOVA models supported the use of standardised bi-monthly counts of unmarked birds as a valid index to monitor trends among years within a season at Midway Atoll. The translocated population increased to 661 adult and juvenile birds (95% CI = 608–714) by 2010, then declined by 38% between 2010 and 2012 after the Toˉhoku Japan earthquake-generated tsunami inundated 41% of the atoll and triggered an Avian Botulism type C Clostridium botulinum outbreak. Following another severe botulism outbreak during 2015, the population experienced a 37% decline. Data indicated that the Midway Atoll population, like the founding Laysan Island population, is susceptible to catastrophic population declines. Consistent standardised monitoring using simple counts, in place of mark-recapture and resightings surveys, can be used to evaluate population status over the long-term. We estimate there were 314–435 Laysan Teal (95% CI for population estimate; point estimate = 375 individuals) at Midway Atoll in 2015; c. 50% of the global population. In comparison, the most recent estimate for numbers on Laysan Island was of 339 individuals in 2012 (95% CI = 265–413). We suggest that this approach can be used to validate a survey index for any marked, reintroduced resident wildlife population.
","language":"English","publisher":"Wildfowl & Wetlands Trust","usgsCitation":"Reynolds, M.H., Courtot, K., and Hatfield, J., 2017, How many Laysan Teal Anas laysanensis are on Midway Atoll? Methods for monitoring abundance after reintroduction: Wildfowl, v. 67, p. 60-71.","productDescription":"12 p.","startPage":"60","endPage":"71","ipdsId":"IP-079986","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":349950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349942,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2664/1781"}],"otherGeospatial":"Midway Atoll","volume":"67","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf6e4b06e28e9c22a22","contributors":{"authors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","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":724869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Courtot, Karen 0000-0002-8849-4054 kcourtot@usgs.gov","orcid":"https://orcid.org/0000-0002-8849-4054","contributorId":140002,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen","email":"kcourtot@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":724870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatfield, Jeffrey 0000-0002-6517-2925 jhatfield@usgs.gov","orcid":"https://orcid.org/0000-0002-6517-2925","contributorId":139261,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeffrey","email":"jhatfield@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":724871,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194508,"text":"70194508 - 2017 - Quantifying animal movement for caching foragers: the path identification index (PII) and cougars, Puma concolor","interactions":[],"lastModifiedDate":"2017-12-01T11:54:14","indexId":"70194508","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Quantifying animal movement for caching foragers: the path identification index (PII) and cougars, Puma concolor","title":"Quantifying animal movement for caching foragers: the path identification index (PII) and cougars, Puma concolor","docAbstract":"Relocation studies of animal movement have focused on directed versus area restricted movement, which rely on correlations between step-length and turn angles, along with a degree of stationarity through time to define behavioral states. Although these approaches may work well for grazing foraging strategies in a patchy landscape, species that do not spend a significant amount of time searching out and gathering small dispersed food items, but instead feed for short periods on large, concentrated sources or cache food result in movements that maybe difficult to analyze using turning and velocity alone. We use GPS telemetry collected from a prey-caching predator, the cougar (Puma concolor), to test whether adding additional movement metrics capturing site recursion, to the more traditional velocity and turning, improve the ability to identify behaviors. We evaluated our movement index’s ability to identify behaviors using field investigations. We further tested for statistical stationarity across behaviors for use of topographic view-sheds. We found little correlation between turn angle, velocity, tortuosity, and site fidelity and combined them into a movement index used to identify movement paths (temporally autocorrelated movements) related to fast directed movements (taxis), area restricted movements (search), and prey caching (foraging). Changes in the frequency and duration of these movements were helpful for identifying seasonal activities such as migration and denning in females. Comparison of field investigations of cougar activities to behavioral classes defined using the movement index and found an overall classification accuracy of 81%. Changes in behaviors resulted in changes in how cougars used topographic view-sheds, showing statistical non-stationarity over time. The movement index shows promise for identifying behaviors in species that frequently return to specific locations such as food caches, watering holes, or dens, and highlights the role memory and cognitive abilities may play in determining animal movements. With the addition of measures capturing site recursion the temporal structure in movements of a caching forager was revealed.","language":"English","publisher":"BioMed Central","doi":"10.1186/s40462-017-0115-z","usgsCitation":"Ironside, K.E., Mattson, D.J., Theimer, T., Jansen, B., Holton, B., Arundel, T.R., Peters, M., Sexton, J.O., and Edwards, T., 2017, Quantifying animal movement for caching foragers: the path identification index (PII) and cougars, Puma concolor: Movement Ecology, v. 5, p. 1-17, https://doi.org/10.1186/s40462-017-0115-z.","productDescription":"Article 24; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-071574","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469273,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-017-0115-z","text":"Publisher Index Page"},{"id":438141,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A93HRF","text":"USGS data release","linkHelpText":"Puma concolor GPS Telemetry and Path Identification Index (2003-2013), Southwest Region, USA"},{"id":349627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-23","publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a3b","contributors":{"authors":[{"text":"Ironside, Kirsten E. 0000-0003-1166-3793 kironside@usgs.gov","orcid":"https://orcid.org/0000-0003-1166-3793","contributorId":3379,"corporation":false,"usgs":true,"family":"Ironside","given":"Kirsten","email":"kironside@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":724176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mattson, David J.","contributorId":191920,"corporation":false,"usgs":false,"family":"Mattson","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Theimer, Tad","contributorId":191914,"corporation":false,"usgs":false,"family":"Theimer","given":"Tad","affiliations":[],"preferred":false,"id":724178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jansen, Brian","contributorId":191917,"corporation":false,"usgs":false,"family":"Jansen","given":"Brian","email":"","affiliations":[],"preferred":false,"id":724179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holton, Brandon","contributorId":191915,"corporation":false,"usgs":false,"family":"Holton","given":"Brandon","affiliations":[],"preferred":false,"id":724180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arundel, Terence R. 0000-0003-0324-4249 tarundel@usgs.gov","orcid":"https://orcid.org/0000-0003-0324-4249","contributorId":139242,"corporation":false,"usgs":true,"family":"Arundel","given":"Terence","email":"tarundel@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":724181,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peters, Michael","contributorId":191919,"corporation":false,"usgs":false,"family":"Peters","given":"Michael","email":"","affiliations":[],"preferred":false,"id":724182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sexton, Joseph O.","contributorId":191918,"corporation":false,"usgs":false,"family":"Sexton","given":"Joseph","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":724265,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":191916,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas C.","suffix":"Jr.","email":"tce@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":724183,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70194162,"text":"70194162 - 2017 - Status and conservation of Yellowstone cutthroat trout in the Greater Yellowstone Area","interactions":[],"lastModifiedDate":"2017-12-11T14:56:38","indexId":"70194162","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Status and conservation of Yellowstone cutthroat trout in the Greater Yellowstone Area","docAbstract":"No abstract available.
We report eight new U-Pb detrital zircon ages for quartzose metasedimentary rocks from four lithotectonic units of parautochthonous North America in east-central Alaska: the Healy schist, Keevy Peak Formation, and Sheep Creek Member of the Totatlanika Schist in the northern Alaska Range, and the Butte assemblage in the northwestern Yukon-Tanana Upland. Excepting 1 of 3 samples from the Healy schist, all have dominant detrital zircon populations of 1.9–1.8 Ga and a subordinate population of 2.7–2.6 Ga. Three zircons from Totatlanika Schist yield the youngest age of ca. 780 Ma. The anomalous Healy schist sample has abundant 1.6–0.9 Ga detrital zircon, as well as populations at 2.0–1.8 Ga and 2.7–2.5 Ga that overlap the ages from the rest of our samples; it has a minimum age population of ca. 1007 Ma.
Detrital zircon age populations from all but the anomalous sample are statistically similar to those from (1) other peri-Laurentian units in east-central Alaska; (2) the Snowcap assemblage in Yukon, basement of the allochthonous Yukon-Tanana terrane; (3) Neoproterozoic to Ordovician Laurentian passive margin strata in southern British Columbia, Canada; and (4) Proterozoic Laurentian Sequence C strata of northwestern Canada. Recycling of zircon from the Paleoproterozoic Great Bear magmatic zone in the Wopmay orogen and its Archean precursors could explain both the Precambrian zircon populations and arc trace element signatures of our samples. Zircon from the anomalous Healy schist sample resembles that in Nation River Formation and Adams Argillite in eastern Alaska, suggesting recycling of detritus in those units.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/L672.1","usgsCitation":"Dusel-Bacon, C., Holm-Denoma, C.S., Jones, J.V., Aleinikoff, J.N., and Mortensen, J.K., 2017, Detrital zircon geochronology of quartzose metasedimentary rocks from parautochthonous North America, east-central Alaska: Lithosphere, v. 9, no. 6, p. 927-952, https://doi.org/10.1130/L672.1.","productDescription":"28 p.","startPage":"927","endPage":"952","ipdsId":"IP-086335","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":482054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/l672.1","text":"Publisher Index Page"},{"id":349886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia, Yukon Territory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -169.013671875,\n 51.45400691005982\n ],\n [\n -120.673828125,\n 51.45400691005982\n ],\n [\n -120.673828125,\n 68.87935761076949\n ],\n [\n -169.013671875,\n 68.87935761076949\n ],\n [\n -169.013671875,\n 51.45400691005982\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-11","publicationStatus":"PW","scienceBaseUri":"5a60faf7e4b06e28e9c22a26","contributors":{"authors":[{"text":"Dusel-Bacon, Cynthia 0000-0001-8481-739X cdusel@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-739X","contributorId":2797,"corporation":false,"usgs":true,"family":"Dusel-Bacon","given":"Cynthia","email":"cdusel@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":724739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mortensen, James K.","contributorId":96794,"corporation":false,"usgs":true,"family":"Mortensen","given":"James","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":724741,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195391,"text":"70195391 - 2017 - Northern hemisphere jet stream positions indices as diagnostic tools for climate and ecosystem dynamics","interactions":[],"lastModifiedDate":"2018-02-13T12:46:17","indexId":"70195391","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Northern hemisphere jet stream positions indices as diagnostic tools for climate and ecosystem dynamics","docAbstract":"The latitudinal position of the Northern Hemisphere jet stream (NHJ) modulates the occurrence and frequency of extreme weather events. Precipitation anomalies in particular are associated with NHJ variability; the resulting floods and droughts can have considerable societal and economic impacts. This study develops a new climatology of the 300-hPa NHJ using a bottom-up approach based on seasonally explicit latitudinal NHJ positions. Four seasons with coherent NHJ patterns were identified (January–February, April–May, July–August, and October–November), along with 32 longitudinal sectors where the seasonal NHJ shows strong spatial coherence. These 32 longitudinal sectors were then used as NHJ position indices to examine the influence of seasonal NHJ position on the geographical distribution of NH precipitation and temperature variability and their link to atmospheric circulation pattern. The analyses show that the NHJ indices are related to broad-scale patterns in temperature and precipitation variability, in terrestrial vegetation productivity and spring phenology, and can be used as diagnostic/prognostic tools to link ecosystem and socioeconomic dynamics to upper-level atmospheric patterns.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/EI-D-16-0023.1","usgsCitation":"Belmecheri, S., Babst, F., Hudson, A.R., Betancourt, J.L., and Trouet, V., 2017, Northern hemisphere jet stream positions indices as diagnostic tools for climate and ecosystem dynamics: Earth Interactions, v. 21, p. 1-23, https://doi.org/10.1175/EI-D-16-0023.1.","productDescription":"Paper no. 8; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-084452","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469283,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-16-0023.1","text":"Publisher Index Page"},{"id":351528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-15","publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc33b","contributors":{"authors":[{"text":"Belmecheri, Soumaya 0000-0003-1258-2741","orcid":"https://orcid.org/0000-0003-1258-2741","contributorId":202418,"corporation":false,"usgs":false,"family":"Belmecheri","given":"Soumaya","email":"","affiliations":[{"id":36425,"text":"Laboratory of Tree Ring Research, University of Arizona. Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":728369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Babst, Flurin","contributorId":202419,"corporation":false,"usgs":false,"family":"Babst","given":"Flurin","email":"","affiliations":[{"id":36426,"text":"Laboratory of Tree Ring Research, University of Arizona. Tucson, Arizona, USA, Dendroclimatology Group, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland, W. Szafer Institute of Botany, Polish Academy of Sciences, Krakow, Poland","active":true,"usgs":false}],"preferred":false,"id":728370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Amy R.","contributorId":202420,"corporation":false,"usgs":false,"family":"Hudson","given":"Amy","email":"","middleInitial":"R.","affiliations":[{"id":36427,"text":"Laboratory of Tree Ring Research, University of Arizona. Tucson, Arizona, USA, School of Natural Resources and the Environment, University of Arizona. Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":728371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trouet, Valerie","contributorId":197082,"corporation":false,"usgs":false,"family":"Trouet","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":728372,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195114,"text":"70195114 - 2017 - A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts","interactions":[],"lastModifiedDate":"2018-02-07T16:51:42","indexId":"70195114","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts","docAbstract":"Many low-elevation, coral reef-lined, tropical coasts are vulnerable to the effects of climate change, sea level rise, and wave-induced flooding. The considerable morphological diversity of these coasts and the variability of the hydrodynamic forcing that they are exposed to make predicting wave-induced flooding a challenge. A process-based wave-resolving hydrodynamic model (XBeach Non-Hydrostatic, “XBNH”) was used to create a large synthetic database for use in a “Bayesian Estimator for Wave Attack in Reef Environments” (BEWARE), relating incident hydrodynamics and coral reef geomorphology to coastal flooding hazards on reef-lined coasts. Building on previous work, BEWARE improves system understanding of reef hydrodynamics by examining the intrinsic reef and extrinsic forcing factors controlling runup and flooding on reef-lined coasts. The Bayesian estimator has high predictive skill for the XBNH model outputs that are flooding indicators, and was validated for a number of available field cases. It was found that, in order to accurately predict flooding hazards, water depth over the reef flat, incident wave conditions, and reef flat width are the most essential factors, whereas other factors such as beach slope and bed friction due to the presence or absence of corals are less important. BEWARE is a potentially powerful tool for use in early warning systems or risk assessment studies, and can be used to make projections about how wave-induced flooding on coral reef-lined coasts may change due to climate change.
","language":"English","publisher":"AGU","doi":"10.1002/2017JC013204","usgsCitation":"Pearson, S.G., Storlazzi, C.D., van Dongeren, A., Tissier, M., and Reniers, A.J., 2017, A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts: Journal of Geophysical Research C: Oceans, v. 122, no. 12, p. 10099-10117, https://doi.org/10.1002/2017JC013204.","productDescription":"19 p.","startPage":"10099","endPage":"10117","ipdsId":"IP-087161","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469260,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jc013204","text":"Publisher Index Page"},{"id":438131,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7T43S20","text":"USGS data release","linkHelpText":"BEWARE database: A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts"},{"id":351301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-20","publicationStatus":"PW","scienceBaseUri":"5a7c1e79e4b00f54eb229328","contributors":{"authors":[{"text":"Pearson, S. G.","contributorId":201812,"corporation":false,"usgs":false,"family":"Pearson","given":"S.","email":"","middleInitial":"G.","affiliations":[{"id":36256,"text":"TU-Delft","active":true,"usgs":false}],"preferred":false,"id":727010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Dongeren, A. R.","contributorId":201813,"corporation":false,"usgs":false,"family":"van Dongeren","given":"A. R.","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":727011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tissier, M. F. S.","contributorId":201814,"corporation":false,"usgs":false,"family":"Tissier","given":"M. F. S.","affiliations":[{"id":36256,"text":"TU-Delft","active":true,"usgs":false}],"preferred":false,"id":727012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reniers, A. J. H. M.","contributorId":201815,"corporation":false,"usgs":false,"family":"Reniers","given":"A.","email":"","middleInitial":"J. H. M.","affiliations":[{"id":36256,"text":"TU-Delft","active":true,"usgs":false}],"preferred":false,"id":727013,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195142,"text":"70195142 - 2017 - Earthquake Early Warning ShakeAlert System: Testing and certification platform","interactions":[],"lastModifiedDate":"2018-02-08T13:34:56","indexId":"70195142","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake Early Warning ShakeAlert System: Testing and certification platform","docAbstract":"Earthquake early warning systems provide warnings to end users of incoming moderate to strong ground shaking from earthquakes. An earthquake early warning system, ShakeAlert, is providing alerts to beta end users in the western United States, specifically California, Oregon, and Washington. An essential aspect of the earthquake early warning system is the development of a framework to test modifications to code to ensure functionality and assess performance. In 2016, a Testing and Certification Platform (TCP) was included in the development of the Production Prototype version of ShakeAlert. The purpose of the TCP is to evaluate the robustness of candidate code that is proposed for deployment on ShakeAlert Production Prototype servers. TCP consists of two main components: a real‐time in situ test that replicates the real‐time production system and an offline playback system to replay test suites. The real‐time tests of system performance assess code optimization and stability. The offline tests comprise a stress test of candidate code to assess if the code is production ready. The test suite includes over 120 events including local, regional, and teleseismic historic earthquakes, recentering and calibration events, and other anomalous and potentially problematic signals. Two assessments of alert performance are conducted. First, point‐source assessments are undertaken to compare magnitude, epicentral location, and origin time with the Advanced National Seismic System Comprehensive Catalog, as well as to evaluate alert latency. Second, we describe assessment of the quality of ground‐motion predictions at end‐user sites by comparing predicted shaking intensities to ShakeMaps for historic events and implement a threshold‐based approach that assesses how often end users initiate the appropriate action, based on their ground‐shaking threshold. TCP has been developed to be a convenient streamlined procedure for objectively testing algorithms, and it has been designed with flexibility to accommodate significant changes in development of new or modified system code. It is expected that the TCP will continue to evolve along with the ShakeAlert system, and the framework we describe here provides one example of how earthquake early warning systems can be evaluated.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170138","usgsCitation":"Cochran, E.S., Kohler, M.D., Given, D.D., Guiwits, S., Andrews, J., Meier, M., Ahmad, M., Henson, I., Hartog, J.R., and Smith, D., 2017, Earthquake Early Warning ShakeAlert System: Testing and certification platform: Seismological Research Letters, v. 89, no. 1, p. 108-117, https://doi.org/10.1785/0220170138.","productDescription":"10 p.","startPage":"108","endPage":"117","ipdsId":"IP-087135","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469263,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20171208-083947727","text":"External Repository"},{"id":351359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, 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