{"pageNumber":"437","pageRowStart":"10900","pageSize":"25","recordCount":40797,"records":[{"id":70187150,"text":"70187150 - 2017 - Developing approaches for linear mixed modeling in landscape genetics through landscape-directed dispersal simulations","interactions":[],"lastModifiedDate":"2017-11-22T16:59:42","indexId":"70187150","displayToPublicDate":"2017-04-25T00:00:00","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":"Developing approaches for linear mixed modeling in landscape genetics through landscape-directed dispersal simulations","docAbstract":"<p><span>Dispersal can impact population dynamics and geographic variation, and thus, genetic approaches that can establish which landscape factors influence population connectivity have ecological and evolutionary importance. Mixed models that account for the error structure of pairwise datasets are increasingly used to compare models relating genetic differentiation to pairwise measures of landscape resistance. A model selection framework based on information criteria metrics or explained variance may help disentangle the ecological and landscape factors influencing genetic structure, yet there are currently no consensus for the best protocols. Here, we develop landscape-directed simulations and test a series of replicates that emulate independent empirical datasets of two species with different life history characteristics (greater sage-grouse; eastern foxsnake). We determined that in our simulated scenarios, AIC and BIC were the best model selection indices and that marginal </span><i>R</i><sup>2</sup><span> values were biased toward more complex models. The model coefficients for landscape variables generally reflected the underlying dispersal model with confidence intervals that did not overlap with zero across the entire model set. When we controlled for geographic distance, variables not in the underlying dispersal models (i.e., nontrue) typically overlapped zero. Our study helps establish methods for using linear mixed models to identify the features underlying patterns of dispersal across a variety of landscapes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2825","usgsCitation":"Row, J.R., Knick, S.T., Oyler-McCance, S.J., Lougheed, S.C., and Fedy, B.C., 2017, Developing approaches for linear mixed modeling in landscape genetics through landscape-directed dispersal simulations: Ecology and Evolution, v. 7, no. 11, p. 3751-3761, https://doi.org/10.1002/ece3.2825.","productDescription":"11 p.","startPage":"3751","endPage":"3761","ipdsId":"IP-064858","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469904,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2825","text":"Publisher Index Page"},{"id":340392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"59006062e4b0e85db3a5ddcb","contributors":{"authors":[{"text":"Row, Jeffery R.","contributorId":191345,"corporation":false,"usgs":false,"family":"Row","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":692781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":692780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":692782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lougheed, Stephen C.","contributorId":191346,"corporation":false,"usgs":false,"family":"Lougheed","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":692783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fedy, Bradley C.","contributorId":191347,"corporation":false,"usgs":false,"family":"Fedy","given":"Bradley","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":692784,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188558,"text":"70188558 - 2017 - Reptiles and amphibians","interactions":[],"lastModifiedDate":"2017-06-16T08:34:04","indexId":"70188558","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Reptiles and amphibians","docAbstract":"Summary – We reviewed all the peer-reviewed scientific publications we could find on the known and potential effects of wind farm development, operation, maintenance, and decommissioning on reptiles and amphibians (collectively herpetofauna) worldwide. Both groups are declining globally due to a multitude of threats including energy development. Effect studies were limited to the long-term research by the authors on Agassiz’s Desert Tortoise ecology and behavior at single operational wind farm in California, US and an analysis of the effects of wind farm installation on species richness of vertebrates including reptiles and amphibians in northwestern Portugal. Research on Agassiz’s Desert Tortoise found few demonstrable differences in biological parameters between populations in the wind farm and those in more natural habitats. High reproductive output is due to the regional climate and not to the presence or operation of the wind farm. Site operations have resulted in death and injury to a small number of adult tortoises and over the long-term tortoises now appear to avoid the areas of greatest turbine concentration. Research in Portugal using models and simulations based on empirical data show that vertebrate species richness (including herpetofauna) decreased by almost 20% after the installation of only two large monopole turbines per 250 x 250 m plot. Knowledge of the known responses of herpetofauna to various disturbances allows identification of potential impacts from construction material acquisition in offsite areas, mortality and stress due to impacts of roads and related infrastructure, destruction and modification of habitat,  habitat fragmentation and barriers to gene flow, noise, vibration, electromagnetic field generation, heat from buried high voltage transmission lines, alteration of local and regional climate, predator attraction, and increased risk of fire. Research on herpetofauna lags far behind what is needed and, in particular, before-after-control-impact studies are critically needed to identify cause and effect relationships in order to develop effective mitigation strategies for any negative impacts.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife and wind farms – conflicts and solutions","language":"English","publisher":"Pelagic Publishing","usgsCitation":"Lovich, J.E., and Ennen, J., 2017, Reptiles and amphibians, chap. <i>of</i> Wildlife and wind farms – conflicts and solutions, v. 1, p. 97-118.","startPage":"97","endPage":"118","ipdsId":"IP-062068","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":342550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342544,"type":{"id":15,"text":"Index Page"},"url":"https://pelagicpublishing.com/collections/wildlife-and-wind-farms-martin-perrow/products/wildlife-and-wind-farms-vol-1-onshore-potential-effects"}],"volume":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59439c94e4b062508e31a9ad","contributors":{"editors":[{"text":"Perrow, Martin","contributorId":192982,"corporation":false,"usgs":false,"family":"Perrow","given":"Martin","email":"","affiliations":[],"preferred":false,"id":698372,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":698335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":698336,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185119,"text":"sir20175017 - 2017 - Hydrology of the Claiborne aquifer and interconnection with the Upper Floridan aquifer in southwest Georgia","interactions":[],"lastModifiedDate":"2017-04-24T16:52:22","indexId":"sir20175017","displayToPublicDate":"2017-04-24T16:30:00","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":"2017-5017","title":"Hydrology of the Claiborne aquifer and interconnection with the Upper Floridan aquifer in southwest Georgia","docAbstract":"<p>The U.S. Geological Survey conducted a study, in cooperation with the Georgia Environmental Protection Division, to define the hydrologic properties of the Claiborne aquifer and evaluate its connection with the Upper Floridan aquifer in southwest Georgia. The effort involved collecting and compiling hydrologic data from the aquifer in subarea 4 of southwestern Georgia. Data collected for this study include borehole geophysical logs in 7 wells, and two 72-hour aquifer tests to determine aquifer properties.</p><p>The top of the Claiborne aquifer extends from an altitude of about 200 feet above the North American Vertical Datum of 1988 (NAVD 88) in Terrell County to 402 feet below NAVD 88 in Decatur County, Georgia. The base of the aquifer extends from an altitude of about 60 feet above NAVD 88 in eastern Sumter County to about 750 feet below NAVD 88 in Decatur County. Aquifer thickness ranges from about 70 feet in eastern Early County to 400 feet in Decatur County.</p><p>The transmissivity of the Claiborne aquifer, determined from two 72-hour aquifer tests, was estimated to be 1,500 and 700 feet squared per day in Mitchell and Early Counties, respectively. The storage coefficient was estimated to be 0.0006 and 0.0004 for the same sites, respectively. Aquifer test data from Mitchell County indicate a small amount of leakage occurred during the test. Groundwater-flow models suggest that the source of the leakage was the underlying Clayton aquifer, which produced about 2.5 feet of drawdown in response to pumping in the Claiborne aquifer. The vertical hydraulic conductivity of the confining unit between the Claiborne and Clayton aquifers was simulated to be about 0.02 foot per day.</p><p>Results from the 72-hour aquifer tests run for this study indicated no interconnection between the Claiborne and overlying Upper Floridan aquifers at the two test sites. Additional data are needed to monitor the effects that increased withdrawals from the Claiborne aquifer may have on future water resources.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175017","collaboration":"Prepared in cooperation with the Georgia Environmental Protection Division","usgsCitation":"Gordon, D.W., and Gonthier, Gerald, 2017, Hydrology of the Claiborne aquifer and interconnection with the Upper Floridan aquifer in southwest Georgia: U.S. Geological Survey Scientific Investigations Report 2017–5017, 49 p., https://doi.org/10.3133/sir20175017.","productDescription":"x, 49 p.","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076880","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":339811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5017/sir20175017.pdf","text":"Report","size":"8.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5017"},{"id":339810,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5017/coverthb.jpg"},{"id":339835,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B8569W","text":"USGS data release","description":"USGS data release","linkHelpText":"Data collected for Claiborne aquifer study in southwestern Georgia during 2015 to 2016"}],"country":"United States","state":"Georgia","otherGeospatial":"Claiborne Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.1495361328125,\n              30.60482195075795\n            ],\n            [\n              -83.748779296875,\n              30.60482195075795\n            ],\n            [\n              -83.748779296875,\n              32.57459172113418\n            ],\n            [\n              -85.1495361328125,\n              32.57459172113418\n            ],\n            [\n              -85.1495361328125,\n              30.60482195075795\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, South Atlantic Water Science Center<br> U.S. Geological Survey<br> 720 Gracern Road<br> Stephenson Center, Suite 129<br> Columbia, SC 29210<br> <a href=\"http://www.usgs.gov/water/southatlantic/\" data-mce-href=\"http://www.usgs.gov/water/southatlantic/\">http://www.usgs.gov/water/southatlantic/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract&nbsp;</li><li>Introduction</li><li>Hydrologic Conditions 2015–16&nbsp;</li><li>Methods of Investigation</li><li>Hydrogeology</li><li>Claiborne Aquifer Hydrology and Interconnection With the Upper Floridan Aquifer&nbsp;</li><li>Summary and Conclusions&nbsp;</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-04-24","noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"58ff0e96e4b006455f2d619e","contributors":{"authors":[{"text":"Gordon, Debbie W. 0000-0002-5195-6657 dwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-6657","contributorId":189297,"corporation":false,"usgs":true,"family":"Gordon","given":"Debbie W.","email":"dwarner@usgs.gov","affiliations":[],"preferred":false,"id":684421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonthier, Gerard  0000-0003-4078-8579 gonthier@usgs.gov","orcid":"https://orcid.org/0000-0003-4078-8579","contributorId":3141,"corporation":false,"usgs":true,"family":"Gonthier","given":"Gerard ","email":"gonthier@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":684422,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187003,"text":"sir20175013v1 - 2017 - The HayWired earthquake scenario—Earthquake hazards","interactions":[{"subject":{"id":70187003,"text":"sir20175013v1 - 2017 - The HayWired earthquake scenario—Earthquake hazards","indexId":"sir20175013v1","publicationYear":"2017","noYear":false,"chapter":"A–H","displayTitle":"The HayWired Earthquake Scenario—Earthquake Hazards","title":"The HayWired earthquake scenario—Earthquake hazards"},"predicate":"IS_PART_OF","object":{"id":70187004,"text":"sir20175013 - 2017 - The HayWired Earthquake Scenario","indexId":"sir20175013","publicationYear":"2017","noYear":false,"title":"The HayWired Earthquake Scenario"},"id":1}],"isPartOf":{"id":70187004,"text":"sir20175013 - 2017 - The HayWired Earthquake Scenario","indexId":"sir20175013","publicationYear":"2017","noYear":false,"title":"The HayWired Earthquake Scenario"},"lastModifiedDate":"2021-12-14T23:04:53.571366","indexId":"sir20175013v1","displayToPublicDate":"2017-04-24T12:00:00","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":"2017-5013","chapter":"A–H","displayTitle":"The HayWired Earthquake Scenario—Earthquake Hazards","title":"The HayWired earthquake scenario—Earthquake hazards","docAbstract":"<p>The HayWired scenario is a hypothetical earthquake sequence that is being used to better understand hazards for the San Francisco Bay region during and after an earthquake of magnitude 7 on the Hayward Fault. The 2014 Working Group on California Earthquake Probabilities calculated that there is a 33-percent likelihood of a large (magnitude 6.7 or greater) earthquake occurring on the Hayward Fault within three decades. A large Hayward Fault earthquake will produce strong ground shaking, permanent displacement of the Earth’s surface, landslides, liquefaction (soils becoming liquid-like during shaking), and subsequent fault slip, known as afterslip, and earthquakes, known as aftershocks.&nbsp;</p><p>The most recent large earthquake on the Hayward Fault occurred on October 21, 1868, and it ruptured the southern part of the fault. The 1868 magnitude-6.8 earthquake occurred when the San Francisco Bay region had far fewer people, buildings, and infrastructure (roads, communication lines, and utilities) than it does today, yet the strong ground shaking from the earthquake still caused significant building damage and loss of life. The next large Hayward Fault earthquake is anticipated to affect thousands of structures and disrupt the lives of millions of people.&nbsp;Earthquake risk in the San Francisco Bay region has been greatly reduced&nbsp;as a result of previous concerted efforts; for example, tens of billions of dollars of&nbsp;investment in strengthening infrastructure was motivated in large part by the 1989&nbsp;magnitude 6.9 Loma Prieta earthquake. To build on efforts to reduce earthquake risk in&nbsp;the San Francisco Bay region, the HayWired earthquake scenario comprehensively&nbsp;examines the earthquake hazards to help provide the crucial scientific information that the San Francisco Bay region can use to prepare for the next large earthquake, The HayWired Earthquake Scenario—Earthquake Hazards volume describes the strong ground shaking modeled in the scenario and the hazardous movements of the Earth’s surface that the fault rupture and shaking will activate.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The HayWired earthquake scenario","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175013v1","collaboration":"Prepared in cooperation with the California Geological Survey","usgsCitation":"Detweiler, S.T., and Wein, A.M., eds., 2017, The HayWired earthquake scenario—Earthquake hazards (ver. 1.2, December 2018): U.S. Geological Survey Scientific Investigations Report 2017–5013–A–H, 126 p., https://doi.org/10.3133/sir20175013v1.","productDescription":"xii, 126 p.","numberOfPages":"143","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":340004,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5013/sir20175013f_appendix2.zip","text":"Chapter F appendix 2","size":"74 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2017-5013 Chapter F appendix 2"},{"id":368413,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013v2","text":"Scientific Investigations Report 2017-5013 Volume 2","description":"SIR 2017-5013 Volume 2","linkHelpText":"– The HayWired Earthquake Scenario—Engineering Implications"},{"id":368414,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013V3","text":"Scientific Investigations Report 2017-5013 Volume 3","description":"SIR 2017-5013 Volume 3","linkHelpText":"– The HayWired Earthquake Scenario—Societal Consequences"},{"id":392902,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20183016","text":"Fact Sheet 2018-3016","linkHelpText":"– The HayWired Earthquake Scenario—We Can Outsmart Disaster"},{"id":392903,"rank":11,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20213054","text":"Fact Sheet 2021-3054","linkHelpText":"– The HayWired Earthquake Scenario—Societal Consequences"},{"id":353257,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RN363Z","text":"USGS data release","description":"USGS data release","linkHelpText":"Data from earthquake-induced landslide hazards for a M7.0 scenario earthquake on the Hayward Fault"},{"id":352272,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2017/5013/versionHist_.txt","size":"1 KB","description":"SIR 2017-5013"},{"id":340063,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5013/sir20175013ah_v1.2.pdf","text":"Report","size":"55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5013 Chapters A–H Version 1.1"},{"id":340049,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5013/coverthbah.jpg"},{"id":340006,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76H4FPH","text":"USGS data release","description":"USGS data release","linkHelpText":"Point locations for earthquakes M2.5 and greater in a two-year aftershock sequence resulting from the HayWired scenario earthquake mainshock (4/18/2018) in the San Francisco Bay area, California"},{"id":340005,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74X5610","text":"USGS data release","description":"USGS data release","linkHelpText":"Liquefaction potential as a result of HayWired earthquake scenario mainshock (April 18, 2018) shaking in Alameda and Santa Clara Counties, San Francisco Bay area, California"}],"country":"United States","state":"California","otherGeospatial":"Hayward Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123,\n              37\n            ],\n            [\n              -121,\n              37\n            ],\n            [\n              -121,\n              38.65\n            ],\n            [\n              -123,\n              38.65\n            ],\n            [\n              -123,\n              37\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: April 2017; Version 1.1: March 2018; Version 1.2: December 2018","contact":"<p><a href=\"https://earthquake.usgs.gov/contactus/menlo/\" target=\"_blank\" data-mce-href=\"https://earthquake.usgs.gov/contactus/menlo/\">Contact Information</a>, Menlo Park, Calif.&nbsp;<br>Office—Earthquake Science Center&nbsp;<br><a href=\"https://usgs.gov/\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a> <br>345 Middlefield Road, MS 977&nbsp;<br>Menlo Park, CA 94025&nbsp;<br><a href=\"https://earthquake.usgs.gov/\" target=\"_blank\" data-mce-href=\"https://earthquake.usgs.gov/\">https://earthquake.usgs.gov/</a></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-04-24","revisedDate":"2018-12-13","noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"58ff0e98e4b006455f2d61a2","contributors":{"editors":[{"text":"Detweiler, Shane T. 0000-0001-5699-011X shane@usgs.gov","orcid":"https://orcid.org/0000-0001-5699-011X","contributorId":680,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":692249,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wein, Anne M. 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":192951,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":692250,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70187122,"text":"70187122 - 2017 - Lyme disease ecology in a changing world: Consensus, uncertainty and critical gaps for improving control","interactions":[],"lastModifiedDate":"2017-05-02T15:36:30","indexId":"70187122","displayToPublicDate":"2017-04-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Lyme disease ecology in a changing world: Consensus, uncertainty and critical gaps for improving control","docAbstract":"<p><span>Lyme disease is the most common tick-borne disease in temperate regions of North America, Europe and Asia, and the number of reported cases has increased in many regions as landscapes have been altered. Although there has been extensive work on the ecology and epidemiology of this disease in both Europe and North America, substantial uncertainty exists about fundamental aspects that determine spatial and temporal variation in both disease risk and human incidence, which hamper effective and efficient prevention and control. Here we describe areas of consensus that can be built on, identify areas of uncertainty and outline research needed to fill these gaps to facilitate predictive models of disease risk and the development of novel disease control strategies. Key areas of uncertainty include: (i) the precise influence of deer abundance on tick abundance, (ii) how tick populations are regulated, (iii) assembly of host communities and tick-feeding patterns across different habitats, (iv) reservoir competence of host species, and (v) pathogenicity for humans of different genotypes of </span><i>Borrelia burgdorferi</i><span>. Filling these knowledge gaps will improve Lyme disease prevention and control and provide general insights into the drivers and dynamics of this emblematic multi-host–vector-borne zoonotic disease.</span></p>","language":"English","publisher":"Royal Society of London","publisherLocation":"London","doi":"10.1098/rstb.2016.0117","usgsCitation":"Kilpatrick, A.M., Dobson, A.D., Levi, T., Salkeld, D.J., Swei, A., Ginsberg, H., Kjemtrup, A., Padgett, K.A., Jensen, P.A., Fish, D., Ogden, N.H., and Diuk-Wasser, M.A., 2017, Lyme disease ecology in a changing world: Consensus, uncertainty and critical gaps for improving control: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 372, no. 1722, Article 20160117; 15 p., https://doi.org/10.1098/rstb.2016.0117.","productDescription":"Article 20160117; 15 p.","ipdsId":"IP-079486","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":461629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2016.0117","text":"Publisher Index Page"},{"id":340195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"372","issue":"1722","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"58ff0e9ae4b006455f2d61aa","contributors":{"authors":[{"text":"Kilpatrick, A. Marm","contributorId":139721,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"A.","email":"","middleInitial":"Marm","affiliations":[{"id":12892,"text":"Dept of Ecology & Evolutionary Biology, Univ of California","active":true,"usgs":false}],"preferred":false,"id":692608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dobson, Andrew D.M.","contributorId":191294,"corporation":false,"usgs":false,"family":"Dobson","given":"Andrew","email":"","middleInitial":"D.M.","affiliations":[],"preferred":false,"id":692609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Levi, Taal","contributorId":191295,"corporation":false,"usgs":false,"family":"Levi","given":"Taal","email":"","affiliations":[],"preferred":false,"id":692610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salkeld, Daniel J.","contributorId":191296,"corporation":false,"usgs":false,"family":"Salkeld","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692611,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swei, Andrea","contributorId":172648,"corporation":false,"usgs":false,"family":"Swei","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":692612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":692607,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kjemtrup, Anne","contributorId":191297,"corporation":false,"usgs":false,"family":"Kjemtrup","given":"Anne","email":"","affiliations":[],"preferred":false,"id":692613,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Padgett, Kerry A.","contributorId":191298,"corporation":false,"usgs":false,"family":"Padgett","given":"Kerry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":692614,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jensen, Per A.","contributorId":191299,"corporation":false,"usgs":false,"family":"Jensen","given":"Per","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":692615,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fish, Durland","contributorId":191300,"corporation":false,"usgs":false,"family":"Fish","given":"Durland","email":"","affiliations":[],"preferred":false,"id":692616,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ogden, Nick H.","contributorId":191301,"corporation":false,"usgs":false,"family":"Ogden","given":"Nick","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":692617,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Diuk-Wasser, Maria A.","contributorId":148025,"corporation":false,"usgs":false,"family":"Diuk-Wasser","given":"Maria","email":"","middleInitial":"A.","affiliations":[{"id":7254,"text":"Columbia University - Lamont Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":692624,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70187120,"text":"70187120 - 2017 - Density-driven free-convection model for isotopically fractionated geogenic nitrate in sabkha brine","interactions":[],"lastModifiedDate":"2018-08-09T12:25:55","indexId":"70187120","displayToPublicDate":"2017-04-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Density-driven free-convection model for isotopically fractionated geogenic nitrate in sabkha brine","docAbstract":"<p><span>Subsurface brines with high nitrate (NO</span><sub>3</sub><sup>−</sup><span>) concentration are common in desert environments as atmospheric nitrogen is concentrated by the evaporation of precipitation and little nitrogen uptake. However, in addition to having an elevated mean concentration of ∼525 mg/L (as N), NO</span><sub>3</sub><sup>−</sup><span> in the coastal sabkhas of Abu Dhabi is enriched in </span><sup>15</sup><span>N (mean δ</span><sup>15</sup><span>N ∼17‰), which is an enigma. A NO</span><sub>3</sub><sup>−</sup><span> solute mass balance analysis of the sabkha aquifer system suggests that more than 90% of the nitrogen is from local atmospheric deposition and the remainder from ascending brine. In contrast, isotopic mass balances based on Δ</span><sup>17</sup><span>O, δ</span><sup>15</sup><span>N, and δ</span><sup>18</sup><span>O data suggest approximately 80 to 90% of the NO</span><sub>3</sub><sup>−</sup><span> could be from ascending brine. As the sabkha has essentially no soil, no vegetation, and no anthropogenic land or water use, we propose to resolve this apparent contradiction with a density-driven free-convection transport model. In this conceptual model, the density of rain is increased by solution of surface salts, transporting near-surface oxygenated NO</span><sub>3</sub><sup>−</sup><span> bearing water downward where it encounters reducing conditions and mixes with oxygen-free ascending geologic brines. In this environment, NO</span><sub>3</sub><sup>−</sup><span> is partially reduced to nitrogen gas (N</span><sub>2</sub><span>), thus enriching the remaining NO</span><sub>3</sub><sup>−</sup><span> in heavy isotopes. The isotopically fractionated NO</span><sub>3</sub><sup>−</sup><span> and nitrogen gas return to the near-surface oxidizing environment on the upward displacement leg of the free-convection cycle, where the nitrogen gas is released to the atmosphere and new NO</span><sub>3</sub><sup>−</sup><span> is added to the system from atmospheric deposition. This recharge/recycling process has operated over many cycles in the 8000-year history of the shallow aquifer, progressively concentrating and isotopically fractionating the NO</span><sub>3</sub><sup>−</sup><span>.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12463","usgsCitation":"Wood, W., and Bohlke, J., 2017, Density-driven free-convection model for isotopically fractionated geogenic nitrate in sabkha brine: Groundwater, v. 55, no. 2, p. 199-207, https://doi.org/10.1111/gwat.12463.","productDescription":"9 p.","startPage":"199","endPage":"207","ipdsId":"IP-075480","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":340170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Arab Emirates","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              51.92138671874999,\n              23.88081490545854\n            ],\n            [\n              54.84375,\n              23.88081490545854\n            ],\n            [\n              54.84375,\n              24.93127614538456\n            ],\n            [\n              51.92138671874999,\n              24.93127614538456\n            ],\n            [\n              51.92138671874999,\n              23.88081490545854\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"58ff0e9ae4b006455f2d61ac","contributors":{"authors":[{"text":"Wood, Warren W.","contributorId":47770,"corporation":false,"usgs":false,"family":"Wood","given":"Warren W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":692578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":692577,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187129,"text":"70187129 - 2017 - When mechanism matters: Bayesian forecasting using models of ecological diffusion","interactions":[],"lastModifiedDate":"2017-04-24T14:27:01","indexId":"70187129","displayToPublicDate":"2017-04-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"When mechanism matters: Bayesian forecasting using models of ecological diffusion","docAbstract":"<p><span>Ecological diffusion is a theory that can be used to understand and forecast spatio-temporal processes such as dispersal, invasion, and the spread of disease. Hierarchical Bayesian modelling provides a framework to make statistical inference and probabilistic forecasts, using mechanistic ecological models. To illustrate, we show how hierarchical Bayesian models of ecological diffusion can be implemented for large data sets that are distributed densely across space and time. The hierarchical Bayesian approach is used to understand and forecast the growth and geographic spread in the prevalence of chronic wasting disease in white-tailed deer (</span><i>Odocoileus virginianus</i><span>). We compare statistical inference and forecasts from our hierarchical Bayesian model to phenomenological regression-based methods that are commonly used to analyse spatial occurrence data. The mechanistic statistical model based on ecological diffusion led to important ecological insights, obviated a commonly ignored type of collinearity, and was the most accurate method for forecasting.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.12763","usgsCitation":"Hefley, T.J., Hooten, M., Russell, R.E., Walsh, D.P., and Powell, J.A., 2017, When mechanism matters: Bayesian forecasting using models of ecological diffusion: Ecology Letters, v. 20, no. 5, p. 640-650, https://doi.org/10.1111/ele.12763.","productDescription":"11 p.","startPage":"640","endPage":"650","ipdsId":"IP-074169","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":340206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-31","publicationStatus":"PW","scienceBaseUri":"58ff0e99e4b006455f2d61a4","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":692661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":692658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":692659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":692660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powell, James A.","contributorId":190683,"corporation":false,"usgs":false,"family":"Powell","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":692662,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184307,"text":"cir1427 - 2017 - U.S. Geological Survey Cooperative Fish and Wildlife Research Units Program—2016–2017 Research Abstracts","interactions":[],"lastModifiedDate":"2017-08-23T14:31:34","indexId":"cir1427","displayToPublicDate":"2017-04-20T15:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1427","title":"U.S. Geological Survey Cooperative Fish and Wildlife Research Units Program—2016–2017 Research Abstracts","docAbstract":"<p>The U.S. Geological Survey (USGS) has several strategic goals that focus its efforts on serving the American people. The USGS Ecosystems Mission Area has responsibility for the following objectives under the strategic goal of “Science to Manage and Sustain Resources for Thriving Economies and Healthy Ecosystems”:</p><ul><li>Understand, model, and predict change in natural systems</li><li>Conserve and protect wildlife and fish species and their habitats</li><li>Reduce or eliminate the threat of invasive species and wildlife disease</li></ul><p>This report provides abstracts of the majority of ongoing research investigations of the USGS Cooperative Fish and Wildlife Research Units program and is intended to complement the 2016 Cooperative Research Units Program Year in Review Circular 1424 (<a href=\"https://doi.org/10.3133/cir1424\" data-mce-href=\"https://doi.org/10.3133/cir1424\">https://doi.org/10.3133/cir1424</a>). The report is organized by the following major science themes that contribute to the objectives of the USGS:</p><ul><li>Advanced Technologies</li><li>Climate Science</li><li>Decision Science</li><li>Ecological Flows</li><li>Ecosystem Services</li><li>Endangered Species Conservation, Recovery, and Proactive Strategies</li><li>Energy</li><li>Human Dimensions</li><li>Invasive Species</li><li>Landscape Ecology</li><li>Species of Greatest Conservation Need</li><li>Species Population, Habitat, and Harvest Management</li><li>Wildlife Health and Disease</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1427","usgsCitation":"Dennerline, D.E., and Childs, D.E., eds., 2017, U.S. Geological Survey Cooperative Fish and Wildlife Research Units program—2016–2017 research abstracts (ver. 1.1, May 2017): U.S. Geological Survey Circular 1427, 164 p.,  https://doi.org/10.3133/cir1427.","productDescription":"iv, 164 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,{"id":70185185,"text":"fs20173022 - 2017 - Cooperative Fish and Wildlife Research Units - A model partnership program","interactions":[],"lastModifiedDate":"2017-04-21T09:14:36","indexId":"fs20173022","displayToPublicDate":"2017-04-20T15:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3022","title":"Cooperative Fish and Wildlife Research Units - A model partnership program","docAbstract":"<p>The U.S. Geological Survey (USGS) Cooperative Fish and Wildlife Research Units (CRU) program is a unique model of cooperative partnership among the USGS, other U.S. Department of the Interior and Federal agencies, universities, State fish and wildlife agencies, and the Wildlife Management Institute. These partnerships are maintained as one of the USGS’s strongest links to Federal and State land and natural resource management agencies.</p><p>Established in 1935 to meet the need for trained professionals in the growing field of wildlife management, the program currently consists of 40 Cooperative Fish and Wildlife Research Units located on university campuses in 38 States and supports 119 research scientist positions when fully funded. The threefold mission of the CRU program is to (1) conduct scientific research for the management of fish, wildlife, and other natural resources; (2) provide technical assistance to natural resource managers in the application of scientific information to natural resource policy and management; and (3) train future natural resource professionals.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173022","usgsCitation":"Dennerline, D.E., and Childs, D.E., 2017, Cooperative Fish and Wildlife Research Units—A model partnership program: U.S. Geological Survey Fact Sheet 2017–3022, 4 p., https://doi.org/10.3133/fs20173022.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-081491","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":338887,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/cir1427","text":"Circular 1427 ","linkHelpText":"- U.S. Geological Survey Cooperative Fish and Wildlife Research Units Program - 2016 Research Abstracts"},{"id":338720,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3022/fs20173022.pdf","text":"Report","size":"1.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3022"},{"id":338719,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3022/coverthb.jpg"},{"id":340054,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/cir1424","text":"Circular 1424","linkHelpText":"- Cooperative Fish and Wildlife Research Units Program - 2016 year in review"}],"contact":"<p>Cooperative Fish and Wildlife Research Units Program<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> Reston, VA 20192<br> <a href=\"http://www.coopunits.org/\" data-mce-href=\"http://www.coopunits.org/\">http://www.coopunits.org/</a></p>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-04-20","noUsgsAuthors":false,"publicationDate":"2017-04-20","publicationStatus":"PW","scienceBaseUri":"58f9c8c7e4b0b7ea545240e1","contributors":{"authors":[{"text":"Dennerline, Donald E. 0000-0001-8345-315X don_dennerline@usgs.gov","orcid":"https://orcid.org/0000-0001-8345-315X","contributorId":187565,"corporation":false,"usgs":true,"family":"Dennerline","given":"Donald E.","email":"don_dennerline@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":684652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Childs, Dawn E.  0000-0001-8544-9517 dchilds@usgs.gov","orcid":"https://orcid.org/0000-0001-8544-9517","contributorId":187564,"corporation":false,"usgs":true,"family":"Childs","given":"Dawn E. ","email":"dchilds@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":684651,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188640,"text":"70188640 - 2017 - Variable effects of climate on forest growth in relation to  climate extremes, disturbance, and forest dynamics","interactions":[],"lastModifiedDate":"2017-08-30T14:54:20","indexId":"70188640","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Variable effects of climate on forest growth in relation to  climate extremes, disturbance, and forest dynamics","docAbstract":"Changes in the frequency, duration, and severity of climate extremes are forecast to occur under global climate change. The impacts of climate extremes on forest productivity and health remain difficult to predict due to potential interactions with disturbance events and forest dynamics—changes in forest stand composition, density, size and age structure over time. Such interactions may lead to non-linear forest growth responses to climate involving thresholds and lag effects. Understanding how forest dynamics influence growth responses to climate is particularly important given stand structure and composition can be modified through management to increase forest resistance and resilience to climate change. To inform such adaptive management, we develop a hierarchical Bayesian state space model in which climate effects on tree growth are allowed to vary over time and in relation to past climate extremes, disturbance events, and forest dynamics. The model is an important step toward integrating disturbance and forest dynamics into predictions of forest growth responses to climate extremes. We apply the model to a dendrochronology data set from forest stands of varying composition, structure, and development stage in northeastern Minnesota that have experienced extreme climate years and forest tent caterpillar defoliation events. Mean forest growth was most sensitive to water balance variables representing climatic water deficit. Forest growth responses to water deficit were partitioned into responses driven by climatic threshold exceedances and interactions with insect defoliation. Forest growth was both resistant and resilient to climate extremes with the majority of forest growth responses occurring after multiple climatic threshold exceedances across seasons and years. Interactions between climate and disturbance were observed in a subset of years with insect defoliation increasing forest growth sensitivity to water availability. Forest growth was particularly sensitive to climate extremes during periods of high stem density following major regeneration events when average inter-tree competition was high. Results suggest the resistance and resilience of forest growth to climate extremes can be increased through management steps such as thinning to reduce competition during early stages of stand development and small-group selection harvests to maintain forest structures characteristic of older, mature stands.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1518","usgsCitation":"Itter, M.S., Finley, A.O., D’Amato, A.W., Foster, J.R., and Bradford, J.B., 2017, Variable effects of climate on forest growth in relation to  climate extremes, disturbance, and forest dynamics: Ecological Applications, v. 27, no. 4, p. 1082-1095, https://doi.org/10.1002/eap.1518.","productDescription":"14 p. ","startPage":"1082","endPage":"1095","ipdsId":"IP-066808","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469913,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.1518","text":"Publisher Index Page"},{"id":342658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Minnesota, Wisconsin","otherGeospatial":"Superior National Forest, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.53857421875,\n              47.98256841921405\n            ],\n            [\n              -89.7802734375,\n              47.989921667414194\n            ],\n            [\n 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        -89.75830078125,\n              46.7549166192819\n            ],\n            [\n              -89.2529296875,\n              46.86019101567027\n            ],\n            [\n              -88.59374999999999,\n              47.18224592701489\n            ],\n            [\n              -88.13232421875,\n              47.46523622438362\n            ],\n            [\n              -88.39599609375,\n              48.29050321714062\n            ],\n            [\n              -89.2529296875,\n              47.97521412341618\n            ],\n            [\n              -89.53857421875,\n              47.98256841921405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-19","publicationStatus":"PW","scienceBaseUri":"594a3428e4b062508e36af4f","contributors":{"authors":[{"text":"Itter, Malcolm S.","contributorId":193084,"corporation":false,"usgs":false,"family":"Itter","given":"Malcolm","email":"","middleInitial":"S.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":698697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finley, Andrew O.","contributorId":193085,"corporation":false,"usgs":false,"family":"Finley","given":"Andrew","email":"","middleInitial":"O.","affiliations":[{"id":25348,"text":"Michigan State University, East Lansing","active":true,"usgs":false}],"preferred":false,"id":698698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false},{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":698699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Jane R.","contributorId":193086,"corporation":false,"usgs":false,"family":"Foster","given":"Jane","email":"","middleInitial":"R.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":698700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":698696,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190130,"text":"70190130 - 2017 - Carbonate buffering and metabolic controls on carbon dioxide in rivers","interactions":[],"lastModifiedDate":"2018-01-30T21:09:43","indexId":"70190130","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Carbonate buffering and metabolic controls on carbon dioxide in rivers","docAbstract":"<p><span>Multiple processes support the significant efflux of carbon dioxide (CO</span><sub>2</sub><span>) from rivers and streams. Attribution of CO</span><sub>2</sub><span><span>&nbsp;</span>oversaturation will lead to better quantification of the freshwater carbon cycle and provide insights into the net cycling of nutrients and pollutants. CO</span><sub>2</sub><span><span>&nbsp;</span>production is closely related to O</span><sub>2</sub><span>consumption because of the metabolic linkage of these gases. However, this relationship can be weakened due to dissolved inorganic carbon inputs from groundwater, carbonate buffering, calcification, and anaerobic metabolism. CO</span><sub>2</sub><span>and O</span><sub>2</sub><span><span>&nbsp;</span>concentrations and other water quality parameters were analyzed in two data sets: a synoptic field study and nationwide water quality monitoring data. CO</span><sub>2</sub><span><span>&nbsp;</span>and O</span><sub>2</sub><span><span>&nbsp;</span>concentrations were strongly negatively correlated in both data sets (</span><i>ρ</i><span> = −0.67 and<span>&nbsp;</span></span><i>ρ</i><span> = −0.63, respectively), although the correlations were weaker in high-alkalinity environments. In nearly all samples, the molar oversaturation of CO</span><sub>2</sub><span><span>&nbsp;</span>was a larger magnitude than molar O</span><sub>2</sub><span><span>&nbsp;</span>undersaturation. We used a dynamically coupled O</span><sub>2</sub><img src=\"http://onlinelibrarystatic.wiley.com/undisplayable_characters/00f8ff.gif\" alt=\"[BOND]\" data-mce-src=\"http://onlinelibrarystatic.wiley.com/undisplayable_characters/00f8ff.gif\"><span>CO</span><sub>2</sub><span><span>&nbsp;</span>model to show that lags in CO</span><sub>2</sub><span><span>&nbsp;</span>air-water equilibration are a likely cause of this phenomenon. Lags in CO</span><sub>2</sub><span><span>&nbsp;</span>equilibration also impart landscape-scale differences in the behavior of CO</span><sub>2</sub><span><span>&nbsp;</span>between high- and low-alkalinity watersheds. Although the concept of carbonate buffering and how it creates lags in CO</span><sub>2</sub><span><span>&nbsp;</span>equilibration with the atmosphere is well understood, it has not been sufficiently integrated into our understanding of CO</span><sub>2</sub><span><span>&nbsp;</span>dynamics in freshwaters. We argue that the consideration of carbonate equilibria and its effects on CO</span><sub>2</sub><span><span>&nbsp;</span>dynamics are primary steps in understanding the sources and magnitude of CO</span><sub>2</sub><span><span>&nbsp;</span>oversaturation in rivers and streams.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GB005578","usgsCitation":"Stets, E.G., Butman, D., McDonald, C.P., Stackpoole, S.M., DeGrandpre, M.D., and Striegl, R.G., 2017, Carbonate buffering and metabolic controls on carbon dioxide in rivers: Global Biogeochemical Cycles, v. 31, no. 4, p. 663-677, https://doi.org/10.1002/2016GB005578.","productDescription":"15 p.","startPage":"663","endPage":"677","ipdsId":"IP-084222","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-11","publicationStatus":"PW","scienceBaseUri":"598e907ee4b09fa1cb16097a","contributors":{"authors":[{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":707601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, David 0000-0003-3520-7426 dbutman@usgs.gov","orcid":"https://orcid.org/0000-0003-3520-7426","contributorId":174187,"corporation":false,"usgs":true,"family":"Butman","given":"David","email":"dbutman@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Cory P. 0000-0002-1208-8471 cmcdonald@usgs.gov","orcid":"https://orcid.org/0000-0002-1208-8471","contributorId":4238,"corporation":false,"usgs":true,"family":"McDonald","given":"Cory","email":"cmcdonald@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":707604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeGrandpre, Michael D.","contributorId":187412,"corporation":false,"usgs":false,"family":"DeGrandpre","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":707605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":707606,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187020,"text":"70187020 - 2017 - Developing criteria to establish Trusted Digital Repositories","interactions":[],"lastModifiedDate":"2017-04-20T11:34:56","indexId":"70187020","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1368,"text":"Data Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Developing criteria to establish Trusted Digital Repositories","docAbstract":"<p><span>This paper details the drivers, methods, and outcomes of the U.S. Geological Survey’s quest to establish criteria by which to judge its own digital preservation resources as Trusted Digital Repositories. Drivers included recent U.S. legislation focused on data and asset management conducted by federal agencies spending $100M USD or more annually on research activities. The methods entailed seeking existing evaluation criteria from national and international organizations such as International Standards Organization (ISO), U.S. Library of Congress, and Data Seal of </span><span>Approval upon which to model USGS repository evaluations. Certification, complexity, cost, and </span><span>usability of existing evaluation models were key considerations. The selected evaluation method was derived to allow the repository evaluation process to be transparent, understandable, and defensible; factors that are critical for judging competing, internal units. Implementing the chosen evaluation criteria involved establishing a cross-agency, multi-disciplinary team that interfaced across the organization.&nbsp;</span></p>","language":"English","publisher":"Ubiquity Press","doi":"10.5334/dsj-2017-022","usgsCitation":"Faundeen, J., 2017, Developing criteria to establish Trusted Digital Repositories: Data Science Journal, v. 16, p. 1-13, https://doi.org/10.5334/dsj-2017-022.","productDescription":"Article 22; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-085601","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469911,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5334/dsj-2017-022","text":"Publisher Index Page"},{"id":339929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877a6e4b0b7ea54521beb","contributors":{"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":691919,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188800,"text":"70188800 - 2017 - A foundation for future assessment and management of groundwater resources","interactions":[],"lastModifiedDate":"2017-07-11T08:35:29","indexId":"70188800","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A foundation for future assessment and management of groundwater resources","docAbstract":"Sequence stratigraphic models for the Pleistocene to Holocene sediments of the Los Angeles (LA) Basin will provide better understanding of\nregional groundwater flow and have helped identify seawater intrusion pathways into important groundwater aquifers. Because groundwater\nprovides more than one-third of the municipal water supply for the coastal LA Basin, the aquifer architecture of this system is a high priority\nfor groundwater managers. Seismic and sequence stratigraphy are now incorporated into groundwater resource assessments and environmental\ninvestigations. By evaluating subsurface data using sequence stratigraphy, the geometry and distribution of aquifer and aquitard sediments are\ndefined, thus groundwater contaminant plumes and sea water intrusion pathways are better understood. The U. S. Geological Survey (USGS),\nin cooperation with Los Angeles County Department of Public Works and the Water Replenishment District of Southern California undertook\nan investigation of the groundwater stratigraphy of the Wilmington – Long Beach area of the LA Basin. Sequence stratigraphic methods were\nused to integrate preexisting groundwater well data with: (1) new borehole observations, (2) structural and physical properties data derived\nfrom geophysical measurements, (3) hi-resolution seismic reflection data obtained offshore of the present shoreline, and (4) vintage oil\ncompany exploration seismic reflection data from both onshore and offshore of the shoreline. These data were used to construct a series of\nPleistocene to Holocene environment of deposition maps that show the overall progradation of sequences seaward over time. In addition,\nseawater intrusion pathways into coastal groundwater aquifers were identified and mapped. On a more regional scale, a vintage Texaco seismic\nreflection data set from the greater LA Basin was interpreted and integrated with a regional network of multi-level ground-water monitoring\nwells. The sequence stratigraphic correlation shows that many of the defined groundwater aquifers are not correlative. For example, one of the\nmajor groundwater supply aquifers, the Silverado Aquifer, when tied to the seismic reflection data has different ages depending on location.\nThis new understanding demonstrates the need for a re-evaluation of the Pleistocene to Holocene stratigraphy using existing seismic reflection\ndata integrated with well data from the LA Basin in order to understand the regional distribution of groundwater aquifers.","conferenceTitle":"AAPG Annual convention and Exhibition","conferenceDate":"April 2-5, 2017","conferenceLocation":"Houston, TX","language":"English","publisher":"AAPG","usgsCitation":"Ehman, K.D., and Edwards, B.D., 2017, A foundation for future assessment and management of groundwater resources, AAPG Annual convention and Exhibition, Houston, TX, April 2-5, 2017, 18 p.","productDescription":"18 p.","ipdsId":"IP-083334","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":342842,"type":{"id":15,"text":"Index Page"},"url":"https://www.searchanddiscovery.com/pdfz/documents/2017/80599ehman/ndx_ehman.pdf.html"},{"id":342846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d20e4b062508e3c3669","contributors":{"authors":[{"text":"Ehman, Kenneth D.","contributorId":64745,"corporation":false,"usgs":true,"family":"Ehman","given":"Kenneth","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":700428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Brian D. bedwards@usgs.gov","contributorId":3161,"corporation":false,"usgs":true,"family":"Edwards","given":"Brian","email":"bedwards@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":700427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187021,"text":"70187021 - 2017 - Evaluation of harvest and information needs for North American sea ducks","interactions":[],"lastModifiedDate":"2017-04-19T10:23:30","indexId":"70187021","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of harvest and information needs for North American sea ducks","docAbstract":"<p><span>Wildlife managers routinely seek to establish sustainable limits of sport harvest or other regulated forms of take while confronted with considerable uncertainty. A growing body of ecological research focuses on methods to describe and account for uncertainty in management decision-making and to prioritize research and monitoring investments to reduce the most influential uncertainties. We used simulation methods incorporating measures of demographic uncertainty to evaluate risk of overharvest and prioritize information needs for North American sea ducks (Tribe </span><i>Mergini</i><span>). Sea ducks are popular game birds in North America, yet they are poorly monitored and their population dynamics are poorly understood relative to other North American waterfowl. There have been few attempts to assess the sustainability of harvest of North American sea ducks, and no formal harvest strategy exists in the U.S. or Canada to guide management. The popularity of sea duck hunting, extended hunting opportunity for some populations (i.e., special seasons and/or bag limits), and population declines have led to concern about potential overharvest. We used Monte Carlo simulation to contrast estimates of allowable harvest and observed harvest and assess risk of overharvest for 7 populations of North American sea ducks: the American subspecies of common eider (</span><i>Somateria mollissima dresseri</i><span>), eastern and western populations of black scoter (</span><i>Melanitta americana</i><span>) and surf scoter (</span><i>M</i><span>. </span><i>perspicillata</i><span>), and continental populations of white-winged scoter (</span><i>M</i><span>. </span><i>fusca</i><span>) and long-tailed duck (</span><i>Clangula hyemalis</i><span>). We combined information from empirical studies and the opinions of experts through formal elicitation to create probability distributions reflecting uncertainty in the individual demographic parameters used in this assessment. Estimates of maximum growth (</span><i>r</i><sub>max</sub><span>), and therefore of allowable harvest, were highly uncertain for all populations. Long-tailed duck and American common eider appeared to be at high risk of overharvest (i.e., observed harvest &lt; allowable harvest in 5–7% and 19–26% of simulations, respectively depending on the functional form of density dependence), whereas the other populations appeared to be at moderate risk to low risk (observed harvest &lt; allowable harvest in 22–68% of simulations, again conditional on the form of density dependence). We also evaluated the sensitivity of the difference between allowable and observed harvest estimates to uncertainty in individual demographic parameters to prioritize information needs. We found that uncertainty in overall fecundity had more influence on comparisons of allowable and observed harvest than adult survival or observed harvest for all species except long-tailed duck. Although adult survival was characterized by less uncertainty than individual components of fecundity, it was identified as a high priority information need given the sensitivity of growth rate and allowable harvest to this parameter. Uncertainty about population size was influential in the comparison of observed and allowable harvest for 5 of the 6 populations where it factored into the assessment. While this assessment highlights a high degree of uncertainty in allowable harvest, it provides a framework for integration of improved data from future research and monitoring. It could also serve as the basis for harvest strategy development as management objectives and regulatory alternatives are specified by the management community.</span></p>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0175411","usgsCitation":"Koneff, M.D., Zimmerman, G.S., Dwyer, C.P., Fleming, K.K., Padding, P.I., Devers, P.K., Johnson, F.A., Runge, M.C., and Roberts, A.J., 2017, Evaluation of harvest and information needs for North American sea ducks: PLoS ONE, v. 12, no. 4, p. 1-29, https://doi.org/10.1371/journal.pone.0175411.","productDescription":"e0175411; 29 p.","startPage":"1","endPage":"29","ipdsId":"IP-076232","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":461631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0175411","text":"Publisher Index Page"},{"id":339928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"58f87798e4b0b7ea54521be6","contributors":{"authors":[{"text":"Koneff, Mark D.","contributorId":191128,"corporation":false,"usgs":false,"family":"Koneff","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":691927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":691928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dwyer, Chris P.","contributorId":127734,"corporation":false,"usgs":false,"family":"Dwyer","given":"Chris","email":"","middleInitial":"P.","affiliations":[{"id":7131,"text":"United States Department of the Interior, United States Fish and Wildlife Service, Northeast Region, Division of Migratory Birds, Hadley, MA 01035, USA.","active":true,"usgs":false}],"preferred":false,"id":691929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleming, Kathleen K.","contributorId":191129,"corporation":false,"usgs":false,"family":"Fleming","given":"Kathleen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":691930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Padding, Paul I.","contributorId":191130,"corporation":false,"usgs":false,"family":"Padding","given":"Paul","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":691931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Devers, Patrick K.","contributorId":167173,"corporation":false,"usgs":false,"family":"Devers","given":"Patrick","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":691932,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":691926,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":691933,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roberts, Anthony J.","contributorId":191131,"corporation":false,"usgs":false,"family":"Roberts","given":"Anthony","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":691955,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70187009,"text":"70187009 - 2017 - The California Seafloor and Coastal Mapping Program – Providing science and geospatial data for California's State Waters","interactions":[],"lastModifiedDate":"2022-01-21T16:27:42.336617","indexId":"70187009","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"The California Seafloor and Coastal Mapping Program – Providing science and geospatial data for California's State Waters","docAbstract":"<p id=\"abspara0010\">The California Seafloor and Coastal Mapping Program (CSCMP) is a collaborative effort to develop comprehensive bathymetric, geologic, and habitat maps and data for California's State Waters. CSCMP began in 2007 when the California Ocean Protection Council (OPC) and the National Oceanic and Atmospheric Administration (NOAA) allocated funding for high-resolution bathymetric mapping, largely to support the California Marine Life Protection Act and to update nautical charts. Collaboration and support from the U.S. Geological Survey and other partners has led to development and dissemination of one of the world's largest seafloor-mapping datasets. CSCMP provides essential science and data for ocean and coastal management, stimulates and enables research, and raises public education and awareness of coastal and ocean issues. Specific applications include:</p><ul>•Delineation and designation of marine protected areas</ul><ul>•Characterization and modeling of benthic habitats and ecosystems</ul><ul>•Updating nautical charts</ul><ul>•Earthquake hazard assessments</ul><ul>•Tsunami hazard assessments</ul><ul>•Planning offshore infrastructure</ul><ul>•Providing baselines for monitoring change</ul><ul>•Input to models of sediment transport, coastal erosion, and coastal flooding</ul><ul>•Regional sediment management</ul><ul>•Understanding coastal aquifers</ul><ul>•Providing geospatial data for emergency response</ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2017.02.004","usgsCitation":"Johnson, S.Y., Cochrane, G.R., Golden, N.E., Dartnell, P., Hartwell, S., Cochran, S.A., and Watt, J., 2017, The California Seafloor and Coastal Mapping Program – Providing science and geospatial data for California's State Waters: Ocean and Coastal Management, v. 140, p. 88-104, https://doi.org/10.1016/j.ocecoaman.2017.02.004.","productDescription":"17 p.","startPage":"88","endPage":"104","ipdsId":"IP-077782","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2017.02.004","text":"Publisher Index Page"},{"id":339933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70187005,"text":"70187005 - 2017 - Amphibian conservation: clarifications to comments from Andreone","interactions":[],"lastModifiedDate":"2017-04-19T11:01:47","indexId":"70187005","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2968,"text":"Oryx","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian conservation: clarifications to comments from Andreone","docAbstract":"<p><span>We appreciate the comments from Andreone (2016) regarding our proposed alternative strategy for addressing the amphibian crisis. Andreone recognizes the utility of an Incident Command System approach but doubts the feasibility of implementation at an international level. We stated in our original article, however, that ‘the feasibility of our suggestion is debatable, but our point is that radically different approaches are necessary to effectively manage the largest extinction event in modern history’ (Muths &amp; Fisher, 2015). There are examples of where such top-down strategies are being applied; e.g. for the brown tree snake </span><span class=\"italic\">Boiga irregularis</span><span> (Stanford &amp; Rodda, 2007), and biosecurity planning for Micronesia and Hawaii (NAVFAC Pacific, 2016). Another example is presented by Andreone. In Madagascar a community-wide conservation plan has been developed complete with prioritization of specific actions (Andreone, 2016). As with any top-down strategy, challenges will surface, especially when making decisions that affect economics. We note this caveat in our article, and Andreone points out such issues in Madagascar, where there are mismatches in priorities between biodiversity conservation and civil needs. Our suggestion is that a new paradigm needs to be considered given the gravity of amphibian decline, and one option may be to take a global approach focusing on specific, major threats. Application of an Incident Command System would not necessitate competition with, or emasculation of, local conservation priorities or actions.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0030605316001204","usgsCitation":"Muths, E.L., and Fisher, R.N., 2017, Amphibian conservation: clarifications to comments from Andreone: Oryx, v. 51, no. 2, p. 216-217, https://doi.org/10.1017/S0030605316001204.","productDescription":"2 p.","startPage":"216","endPage":"217","ipdsId":"IP-079119","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0030605316001204","text":"Publisher Index Page"},{"id":339943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-30","publicationStatus":"PW","scienceBaseUri":"58f877abe4b0b7ea54521bf8","contributors":{"authors":[{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":691816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":691817,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187007,"text":"70187007 - 2017 - Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, Part 1. Science basis and applications","interactions":[],"lastModifiedDate":"2017-11-22T16:08:49","indexId":"70187007","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-360","title":"Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, Part 1. Science basis and applications","docAbstract":"The Science Framework is intended to link the Department of the Interior’s Integrated Rangeland Fire Management Strategy with long-term strategic conservation actions in the sagebrush biome. The Science Framework provides a multiscale approach for prioritizing areas for management and determining effective management strategies within the sagebrush biome. The emphasis is on sagebrush (Artemisia spp.) ecosystems and Greater sage-grouse (Centrocercus urophasianus). The approach provided in the Science Framework links sagebrush ecosystem resilience to disturbance and resistance to nonnative, invasive plant species to species habitat information based on the distribution and abundance of focal species.\r\nA geospatial process is presented that overlays information on ecosystem resilience and resistance, species habitats, and predominant threats and that can be used at the mid-scale to prioritize areas for management. A resilience and resistance habitat matrix is provided that can help decisionmakers evaluate risks and determine appropriate management strategies. Prioritized areas and management strategies can be refined by managers and stakeholders at the local scale based on higher resolution data and local knowledge. Decision tools are discussed for determining appropriate management actions for areas that are prioritized for\r\nmanagement. Geospatial data, maps, and models are provided through the U.S. Geological Survey (USGS) ScienceBase and Bureau of Land Management (BLM) Landscape Approach Data Portal. The Science Framework is intended to be adaptive and will be updated as additional data become available on other values and species at risk. It is anticipated that the Science Framework will be widely used to: (1) inform emerging strategies to conserve\r\nsagebrush ecosystems, sagebrush dependent species, and human uses of the sagebrush system, and (2) assist managers in prioritizing and planning on-the-ground restoration and mitigation actions across the sagebrush biome.","language":"English","publisher":"U.S Department of Agriculture, Forest Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Chambers, J.C., Beck, J.L., Bradford, J.B., Bybee, J., Campbell, S., Carlson, J., Christiansen, T.J., Clause, K.J., Collins, G., Crist, M., Dinkins, J.B., Doherty, K., Edwards, F., Espinosa, S., Griffin, K.A., Griffin, P., Haas, J.R., Hanser, S.E., Havlina, D.W., Henke, K.F., Hennig, J.D., Joyce, L.A., Kilkenny, F.F., Kulpa, S.M., Kurth, L.L., Maestas, J.D., Manning, M., Mayer, K., Mealor, B.A., McCarthy, C., Pellant, M., Perea, M.A., Prentice, K.L., Pyke, D.A., Wiechman, L.A., and Wuenschel, A., 2017, Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, Part 1. 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B.","contributorId":177565,"corporation":false,"usgs":false,"family":"Dinkins","given":"Jonathan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":691831,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Doherty, Kevin 0000-0003-3635-7346","orcid":"https://orcid.org/0000-0003-3635-7346","contributorId":176149,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":691832,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Edwards, Fred","contributorId":191090,"corporation":false,"usgs":false,"family":"Edwards","given":"Fred","email":"","affiliations":[],"preferred":false,"id":691852,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Espinosa, 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shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":691835,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Havlina, Douglas W.","contributorId":177567,"corporation":false,"usgs":false,"family":"Havlina","given":"Douglas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":691836,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Henke, Kenneth F.","contributorId":184045,"corporation":false,"usgs":false,"family":"Henke","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":691837,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Hennig, Jacob D.","contributorId":177569,"corporation":false,"usgs":false,"family":"Hennig","given":"Jacob","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":691838,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Joyce, Linda A","contributorId":191093,"corporation":false,"usgs":false,"family":"Joyce","given":"Linda","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":691855,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Kilkenny, Francis F.","contributorId":191031,"corporation":false,"usgs":false,"family":"Kilkenny","given":"Francis","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":691856,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Kulpa, Sarah M","contributorId":191094,"corporation":false,"usgs":false,"family":"Kulpa","given":"Sarah","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":691857,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Kurth, Laurie L","contributorId":191085,"corporation":false,"usgs":false,"family":"Kurth","given":"Laurie","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":691839,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Maestas, Jeremy D","contributorId":191086,"corporation":false,"usgs":false,"family":"Maestas","given":"Jeremy","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":691840,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Manning, Mary E.","contributorId":177570,"corporation":false,"usgs":false,"family":"Manning","given":"Mary E.","affiliations":[],"preferred":false,"id":691841,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Mayer, Kenneth E. ","contributorId":177568,"corporation":false,"usgs":false,"family":"Mayer","given":"Kenneth E. ","affiliations":[],"preferred":false,"id":691842,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Mealor, Brian A.","contributorId":152584,"corporation":false,"usgs":false,"family":"Mealor","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":6656,"text":"University of Wyoming, Renewable Resources","active":true,"usgs":false}],"preferred":false,"id":691843,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"McCarthy, Clinton","contributorId":177571,"corporation":false,"usgs":false,"family":"McCarthy","given":"Clinton","email":"","affiliations":[],"preferred":false,"id":691844,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Pellant, Mike","contributorId":178257,"corporation":false,"usgs":false,"family":"Pellant","given":"Mike","email":"","affiliations":[],"preferred":false,"id":691845,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Perea, Marco A.","contributorId":177572,"corporation":false,"usgs":false,"family":"Perea","given":"Marco","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":691846,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Prentice, Karen L.","contributorId":184046,"corporation":false,"usgs":false,"family":"Prentice","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":691847,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":691822,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":691848,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Wuenschel, Amarina","contributorId":191087,"corporation":false,"usgs":false,"family":"Wuenschel","given":"Amarina","email":"","affiliations":[],"preferred":false,"id":691849,"contributorType":{"id":1,"text":"Authors"},"rank":36}]}}
,{"id":70206543,"text":"70206543 - 2017 - Fracture propagation and stability of ice shelves governed by ice shelf heterogeneity","interactions":[],"lastModifiedDate":"2019-11-08T09:50:36","indexId":"70206543","displayToPublicDate":"2017-04-18T09:47:26","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Fracture propagation and stability of ice shelves governed by ice shelf heterogeneity","docAbstract":"<p><span>Tabular iceberg calving and ice shelf retreat occurs after full‐thickness fractures, known as rifts, propagate across an ice shelf. A quickly evolving rift signals a threat to the stability of Larsen C, the Antarctic Peninsula's largest ice shelf. Here we reveal the influence of ice shelf heterogeneity on the growth of this rift, with implications that challenge existing notions of ice shelf stability. Most of the rift extension has occurred in bursts after overcoming the resistance of suture zones that bind together neighboring glacier inflows. We model the stresses in the ice shelf to determine potential rift trajectories. Calving perturbations to ice flow will likely reach the grounding line. The stability of Larsen C may hinge on a single suture zone that stabilizes numerous upstream rifts. Elevated fracture toughness of suture zones may be the most important property that allows ice shelves to modulate Antarctica's contribution to sea level rise.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL072648","usgsCitation":"Borstad, C., Mcgrath, D., and Pope, A., 2017, Fracture propagation and stability of ice shelves governed by ice shelf heterogeneity: Geophysical Research Letters, v. 44, no. 9, p. 4186-4194, https://doi.org/10.1002/2017GL072648.","productDescription":"9 p.","startPage":"4186","endPage":"4194","ipdsId":"IP-083481","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":469918,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl072648","text":"Publisher Index Page"},{"id":369084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Antarctica","otherGeospatial":"Larsen C Ice Shelf","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.1376953125,\n              -74.86788912917916\n            ],\n            [\n              -59.32617187499999,\n              -74.86788912917916\n            ],\n            [\n              -59.32617187499999,\n              -68.62454366344708\n            ],\n            [\n              -66.1376953125,\n              -68.62454366344708\n            ],\n            [\n              -66.1376953125,\n              -74.86788912917916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Borstad, Chris","contributorId":220412,"corporation":false,"usgs":false,"family":"Borstad","given":"Chris","email":"","affiliations":[{"id":40166,"text":"UNIS","active":true,"usgs":false}],"preferred":false,"id":774921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":774920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pope, Allen","contributorId":220413,"corporation":false,"usgs":false,"family":"Pope","given":"Allen","email":"","affiliations":[{"id":40167,"text":"NSIDC","active":true,"usgs":false}],"preferred":false,"id":774922,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188857,"text":"70188857 - 2017 - Long-term afterslip of the M6.0, 2004 Parkfield, California, earthquake—Implications for forecasting amount and duration of afterslip on other major creeping faults","interactions":[],"lastModifiedDate":"2017-06-26T14:45:27","indexId":"70188857","displayToPublicDate":"2017-04-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Long-term afterslip of the M6.0, 2004 Parkfield, California, earthquake—Implications for forecasting amount and duration of afterslip on other major creeping faults","docAbstract":"<p id=\"p-1\">We present the longest record of surface afterslip on a continental strike‐slip fault for the 2004 <strong>M</strong>&nbsp;6.0 Parkfield, California, earthquake, from which we can derive critical information about the duration and predictability of afterslip relevant to urban displacement hazard applications. Surface slip associated with this event occurred entirely postseismically along the interseismically creeping (0.6–1.5  cm/yr) main trace of the San Andreas fault. Using the first year of afterslip data, the program AFTER correctly predicted the cumulative surface afterslip (maximum ∼35  cm) eventually attained. By 1&nbsp;yr postearthquake, observed afterslip had accumulated to only ∼74% of its modeled final value <i>u</i><sub><i>f</i></sub> in units of length. The 6‐yr data suggested final slip would be reached everywhere by ∼6–12  yrs.</p><p id=\"p-2\">Parkfield’s afterslip lasted much longer (∼6–12  yrs) than afterslip following a 2014 <strong>M</strong>&nbsp;6.0 event in Napa, California, where no interseismic creep was known, and its afterslip neared completion (∼97% of <i>u</i><sub><i>f</i></sub>) by 1&nbsp;yr. The uncertainty in <i>u</i><sub><i>f</i></sub> for the Napa event fell to ≤2  cm in only three months, versus in 2 yrs for the Parkfield event, mostly because duration of the power‐law stage of afterslip at Parkfield is much longer, ∼1000 (493–1666) days versus ∼100 (35–421) days for Napa. Because the urban Hayward fault near San Francisco, California, like the Parkfield section, exhibits interseismic creep in a similar geological regime, significant afterslip might last for up to a decade following an anticipated <strong>M</strong>≥6.7 earthquake, potentially delaying postearthquake recovery.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160321","usgsCitation":"Lienkaemper, J.J., and McFarland, F.S., 2017, Long-term afterslip of the M6.0, 2004 Parkfield, California, earthquake—Implications for forecasting amount and duration of afterslip on other major creeping faults: Bulletin of the Seismological Society of America, v. 107, no. 3, p. 1082-1093, https://doi.org/10.1785/0120160321.","productDescription":"12  p.","startPage":"1082","endPage":"1093","ipdsId":"IP-075209","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Parkfield ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.91690063476562,\n              35.54116627999813\n            ],\n            [\n              -120.16708374023438,\n              35.39912537474416\n            ],\n            [\n              -120.16708374023438,\n              36.1312200154285\n            ],\n            [\n              -121.11602783203124,\n              36.09682839442643\n            ],\n            [\n              -120.91690063476562,\n              35.54116627999813\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"59521d20e4b062508e3c366d","contributors":{"authors":[{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":700713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McFarland, Forrest S.","contributorId":192264,"corporation":false,"usgs":false,"family":"McFarland","given":"Forrest","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":700715,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70180073,"text":"ofr20161123 - 2017 - Shallow-depth location and geometry of the Piedmont Reverse splay of the Hayward Fault, Oakland, California","interactions":[],"lastModifiedDate":"2017-04-19T10:03:02","indexId":"ofr20161123","displayToPublicDate":"2017-04-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1123","title":"Shallow-depth location and geometry of the Piedmont Reverse splay of the Hayward Fault, Oakland, California","docAbstract":"<p>The Piedmont Thrust Fault, herein referred to as the Piedmont Reverse Fault (PRF), is a splay of the Hayward Fault that trends through a highly populated area of the City of Oakland, California (fig. 1A). Although the PRF is unlikely to generate a large-magnitude earthquake, slip on the PRF or high-amplitude seismic energy traveling along the PRF may cause considerable damage during a large earthquake on the Hayward Fault. Thus, it is important to determine the exact location, geometry (particularly dip), and lateral extent of the PRF within the densely populated Oakland area. In the near surface, the PRF juxtaposes Late Cretaceous sandstone (of the Franciscan Complex Novato Quarry terrane of Blake and others, 1984) and an older Pleistocene alluvial fan unit along much of its mapped length (fig. 1B; Graymer and others, 1995). The strata of the Novato Quarry unit vary greatly in strike (NW, NE, and E), dip direction (NE, SW, E, and NW), dip angle (15° to 85°), and lithology (shale and sandstone), and the unit has been intruded by quartz diorite in places. Thus, it is difficult to infer the structure of the fault, particularly at depth, with conventional seismic reflection imaging methods. To better determine the location and shallow-depth geometry of the PRF, we used high-resolution seismic imaging methods described by Catchings and others (2014). These methods involve the use of coincident P-wave (compressional wave) and S-wave (shear wave) refraction tomography and reflection data, from which tomographic models of P- and S-wave velocity and P-wave reflection images are developed. In addition, the coincident P-wave velocity (VP) and S-wave velocity (VS) data are used to develop tomographic models of VP/VS ratios and Poisson’s ratio, which are sensitive to shallow-depth faulting and groundwater. In this study, we also compare measurements of Swave velocities determined from surface waves with those determined from refraction tomography. We use the combination of seismic methods to infer the fault location, dip, and the National Earthquake Hazards Reduction Program (NEHRP) site classification along the seismic profile. Our seismic study is a smaller part of a larger study of the PRF by Trench and others (2016).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161123","usgsCitation":"Catchings, R.D., Goldman, M.R., Trench, David, Buga, Michael, Chan, J.H., Criley, C.J., and Strayer, L.M., 2017, Shallow-depth location and geometry of the Piedmont Reverse splay of the Hayward Fault, Oakland, California: U.S. Geological Survey Open-File Report 2016–1123, 22 p., https://dx.doi.org/10.3133/ofr20161123.","productDescription":"iii, 22 p.","onlineOnly":"Y","ipdsId":"IP-073235","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":339832,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1123/ofr20161123.pdf","text":"Report","size":"12.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1123"},{"id":339831,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1123/coverthb.jpg"}],"country":"United States","state":"California","city":"Oakland","otherGeospatial":"Hayward Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.24727630615236,\n              37.784554114444994\n            ],\n            [\n              -122.16590881347656,\n              37.784554114444994\n            ],\n            [\n              -122.16590881347656,\n              37.83771661984569\n            ],\n            [\n              -122.24727630615236,\n              37.83771661984569\n            ],\n            [\n              -122.24727630615236,\n              37.784554114444994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Earthquake Science Center—<a href=\"http://earthquake.usgs.gov/contactus/menlo/\" target=\"_blank\" data-mce-href=\"http://earthquake.usgs.gov/contactus/menlo/\">Menlo Park, Calif. Office</a><br>U.S. Geological Survey&nbsp;<br>345 Middlefield Road, MS 977&nbsp;<br>Menlo Park, CA 94025&nbsp;<br><a href=\"http://earthquake.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://earthquake.usgs.gov/\">http://earthquake.usgs.gov/</a></p>","tableOfContents":"<ul><li>Introduction<br></li><li>Seismic Data Acquisition<br></li><li>P-Wave Refraction Tomography Velocity Model<br></li><li>S-Wave Refraction Tomography Velocity Model<br></li><li>V<sub>P</sub>/V<sub>S</sub> Model<br></li><li>Poisson’s Ratio Model<br></li><li>Seismic Reflection Images<br></li><li>MASW and MALW S-Wave Velocity Models<br></li><li>Summary and Seismic Interpretation<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Figures<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-04-18","noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"58f725e5e4b0b7ea5451eec0","contributors":{"authors":[{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@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":660221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":660222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trench, David","contributorId":178632,"corporation":false,"usgs":false,"family":"Trench","given":"David","email":"","affiliations":[],"preferred":false,"id":660223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buga, Michael","contributorId":178633,"corporation":false,"usgs":false,"family":"Buga","given":"Michael","email":"","affiliations":[],"preferred":false,"id":660224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chan, Joanne H.","contributorId":191013,"corporation":false,"usgs":true,"family":"Chan","given":"Joanne","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":660225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Criley, Coyn J. 0000-0002-0227-0165 ccriley@usgs.gov","orcid":"https://orcid.org/0000-0002-0227-0165","contributorId":3312,"corporation":false,"usgs":true,"family":"Criley","given":"Coyn","email":"ccriley@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":660226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strayer, Luther M.","contributorId":139930,"corporation":false,"usgs":false,"family":"Strayer","given":"Luther","email":"","middleInitial":"M.","affiliations":[{"id":13318,"text":"California State University East Bay","active":true,"usgs":false}],"preferred":false,"id":691300,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70219140,"text":"70219140 - 2017 - Identification of alginite and bituminite in rocks other than coal. 2006, 2009, and 2011 round robin exercises of the ICCP Identification of Dispersed Organic Matter Working Group","interactions":[],"lastModifiedDate":"2021-03-25T13:02:42.640779","indexId":"70219140","displayToPublicDate":"2017-04-17T07:54:22","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Identification of alginite and bituminite in rocks other than coal. 2006, 2009, and 2011 round robin exercises of the ICCP Identification of Dispersed Organic Matter Working Group","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0060\"><span>The paper presents results of round robin exercises on photomicrograph-based identification of dispersed organic matter in source rocks that represent a range of marine and&nbsp;lacustrine deposits&nbsp;from worldwide localities and cover a range of&nbsp;thermal maturities. The round robin exercises were conducted by the Identification of Dispersed Organic Matter Working Group (IDOM WG) of the International Committee for Coal and Organic&nbsp;Petrology&nbsp;(ICCP). The round robin exercises aimed to (1) assess the applicability of the established ICCP definitions of bituminite, (2) identify deficiencies and improve the existing nomenclatures, and (3) provide a basis for the revision of the bituminite and&nbsp;alginite&nbsp;definitions in the ICCP Handbook (Taylor et al., 1998). Three round robin exercises performed in 2006, 2009 and 2011 involved 18 participants from&nbsp;research laboratories&nbsp;at universities and within government and industry. Participants were asked to identify&nbsp;macerals&nbsp;on the basis of existing definitions in 129&nbsp;photomicrographs&nbsp;taken in incident white light and fluorescent mode and also in fluorescence light mode at prolonged (15</span>&nbsp;min) blue light irradiation. The results indicate that the definition of telalginite permits its positive and satisfactory agreement among the participants. In contrast, the descriptive characteristics of lamalginite referring to film-like appearance (filamentous) and lack of inner or outer structure are insufficient and inadequate to enable an unequivocal discrimination between it and telalginite. Furthermore, based on the amorphous nature of bituminite and lack of adherence to its established description and character (Taylor et al., 1998), the highest discrepancies were observed in its identification. Differentiation of bituminite from a fluorescent groundmass and in some cases from lamalginite proved to be particularly challenging. The findings of these round robin exercises are useful for improving the identification of sedimentary organic matter in source rocks and may be an important foundation for the modification of the ICCP definitions of alginite and bituminite.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2017.04.013","usgsCitation":"Kus, J., Araujo, C., Borrego, A., Flores, D., Hackley, P.C., Hamor-Vido, M., Kalaitzidis, S., Kommeren, C., Kwiecinska, B., Mastalerz, M., Mendonca Filho, J., Menezes, T., Misz-Kennan, M., Nowak, G., Petersen, H., Rallakis, D., Suarez-Ruiz, I., Sykorova, I., and Zivotić, D., 2017, Identification of alginite and bituminite in rocks other than coal. 2006, 2009, and 2011 round robin exercises of the ICCP Identification of Dispersed Organic Matter Working Group: International Journal of Coal Geology, v. 178, p. 26-38, https://doi.org/10.1016/j.coal.2017.04.013.","productDescription":"11 p.","startPage":"26","endPage":"38","ipdsId":"IP-084518","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":384665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"178","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kus, J.","contributorId":98523,"corporation":false,"usgs":true,"family":"Kus","given":"J.","email":"","affiliations":[],"preferred":false,"id":812936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Araujo, C.V.","contributorId":36738,"corporation":false,"usgs":true,"family":"Araujo","given":"C.V.","email":"","affiliations":[],"preferred":false,"id":812937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borrego, A.G.","contributorId":53583,"corporation":false,"usgs":true,"family":"Borrego","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":812938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flores, D.","contributorId":107915,"corporation":false,"usgs":true,"family":"Flores","given":"D.","email":"","affiliations":[],"preferred":false,"id":812939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamor-Vido, M.","contributorId":25343,"corporation":false,"usgs":true,"family":"Hamor-Vido","given":"M.","affiliations":[],"preferred":false,"id":812941,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kalaitzidis, Stavros","contributorId":255249,"corporation":false,"usgs":false,"family":"Kalaitzidis","given":"Stavros","email":"","affiliations":[],"preferred":false,"id":812942,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kommeren, C.J.","contributorId":103852,"corporation":false,"usgs":true,"family":"Kommeren","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":812943,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kwiecinska, B.","contributorId":256649,"corporation":false,"usgs":false,"family":"Kwiecinska","given":"B.","affiliations":[],"preferred":false,"id":812944,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mastalerz, M.","contributorId":217905,"corporation":false,"usgs":false,"family":"Mastalerz","given":"M.","affiliations":[{"id":33640,"text":"Indiana Geological Survey","active":true,"usgs":false}],"preferred":false,"id":812945,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mendonca Filho, J.G.","contributorId":26128,"corporation":false,"usgs":true,"family":"Mendonca Filho","given":"J.G.","affiliations":[],"preferred":false,"id":812946,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Menezes, T.R.","contributorId":23352,"corporation":false,"usgs":true,"family":"Menezes","given":"T.R.","affiliations":[],"preferred":false,"id":812947,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Misz-Kennan, M.","contributorId":174252,"corporation":false,"usgs":false,"family":"Misz-Kennan","given":"M.","affiliations":[],"preferred":false,"id":812948,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nowak, G.J.","contributorId":256650,"corporation":false,"usgs":false,"family":"Nowak","given":"G.J.","email":"","affiliations":[],"preferred":false,"id":812949,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Petersen, H.","contributorId":178980,"corporation":false,"usgs":false,"family":"Petersen","given":"H.","email":"","affiliations":[],"preferred":false,"id":812950,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rallakis, D.","contributorId":256651,"corporation":false,"usgs":false,"family":"Rallakis","given":"D.","email":"","affiliations":[],"preferred":false,"id":812951,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Suarez-Ruiz, I.","contributorId":10598,"corporation":false,"usgs":true,"family":"Suarez-Ruiz","given":"I.","affiliations":[],"preferred":false,"id":812952,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Sykorova, I.","contributorId":256652,"corporation":false,"usgs":false,"family":"Sykorova","given":"I.","affiliations":[],"preferred":false,"id":812953,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Zivotić, D.","contributorId":174268,"corporation":false,"usgs":false,"family":"Zivotić","given":"D.","affiliations":[],"preferred":false,"id":812954,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70186966,"text":"70186966 - 2017 - A window of opportunity for climate-change adaptation: Easing tree mortality by reducing forest basal area","interactions":[],"lastModifiedDate":"2018-03-26T12:14:08","indexId":"70186966","displayToPublicDate":"2017-04-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"A window of opportunity for climate-change adaptation: Easing tree mortality by reducing forest basal area","docAbstract":"<p><span>Increasing aridity as a result of climate change is expected to exacerbate tree mortality. Reducing forest basal area – the cross-sectional area of tree stems within a given ground area – can decrease tree competition, which may reduce drought-induced tree mortality. However, neither the magnitude of expected mortality increases, nor the potential effectiveness of basal area reduction, has been quantified in dryland forests such as those of the drought-prone Southwest US. We used thousands of repeatedly measured forest plots to show that unusually warm and dry conditions are related to high tree mortality rates and that mortality is positively related to basal area. Those relationships suggest that while increasing high temperature extremes forecasted by climate models may lead to elevated tree mortality during the 21st century, future tree mortality might be partly ameliorated by reducing stand basal area. This adaptive forest management strategy may provide a window of opportunity for forest managers and policy makers to guide forest transitions to species and/or genotypes more suited to future climates.</span></p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/fee.1445","usgsCitation":"Bradford, J.B., and Bell, D.M., 2017, A window of opportunity for climate-change adaptation: Easing tree mortality by reducing forest basal area: Frontiers in Ecology and the Environment, v. 15, no. 1, p. 11-17, https://doi.org/10.1002/fee.1445.","productDescription":"7 p.","startPage":"11","endPage":"17","ipdsId":"IP-073992","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469919,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1445","text":"Publisher Index Page"},{"id":339802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, 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,{"id":70164381,"text":"70164381 - 2017 - Capturing spatiotemporal variation in wildfires for improving postwildfire debris-flow hazard assessments","interactions":[],"lastModifiedDate":"2020-08-20T19:33:39.704722","indexId":"70164381","displayToPublicDate":"2017-04-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"20","title":"Capturing spatiotemporal variation in wildfires for improving postwildfire debris-flow hazard assessments","docAbstract":"<p><span>Wildfires can increase the frequency and magnitude of catastrophic debris flows. Integrated, proactive natural hazard assessment would therefore characterize landscapes based on the potential for the occurrence and interactions of wildfires and postwildfire debris flows. This chapter presents a new modeling effort that can quantify the variability surrounding a key input to postwildfire debris-flow modeling, the amount of watershed burned at moderate to high severity, in a prewildfire context. The use of stochastic wildfire simulation captures variability surrounding the timing and location of ignitions, fire weather patterns, and ultimately the spatial patterns of watershed area burned. Model results provide for enhanced estimates of postwildfire debris-flow hazard in a prewildfire context, and multiple hazard metrics are generated to characterize and contrast hazards across watersheds. Results can guide mitigation efforts by allowing planners to identify which factors may be contributing the most to the hazard rankings of watersheds.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Natural Hazard Uncertainty Assessment: Modeling and Decision Support","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/9781119028116.ch20","usgsCitation":"Haas, J., Thompson, M.P., Tillery, A.C., and Scott, J.H., 2017, Capturing spatiotemporal variation in wildfires for improving postwildfire debris-flow hazard assessments, chap. 20 <i>of</i> Natural Hazard Uncertainty Assessment: Modeling and Decision Support, p. 301-317, https://doi.org/10.1002/9781119028116.ch20.","productDescription":"17 p.","startPage":"301","endPage":"317","ipdsId":"IP-063722","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":339816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-19","publicationStatus":"PW","scienceBaseUri":"58f5d43ce4b0f2e20545e403","contributors":{"authors":[{"text":"Haas, Jessica R.","contributorId":10735,"corporation":false,"usgs":true,"family":"Haas","given":"Jessica R.","affiliations":[],"preferred":false,"id":597127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Matthew P.","contributorId":25045,"corporation":false,"usgs":true,"family":"Thompson","given":"Matthew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":597128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Joe H.","contributorId":28913,"corporation":false,"usgs":true,"family":"Scott","given":"Joe","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":597130,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70186721,"text":"fs20173027 - 2017 - A groundwater-flow model for the Treasure Valley and surrounding area, southwestern Idaho","interactions":[],"lastModifiedDate":"2017-04-18T10:57:14","indexId":"fs20173027","displayToPublicDate":"2017-04-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3027","title":"A groundwater-flow model for the Treasure Valley and surrounding area, southwestern Idaho","docAbstract":"<p>The U.S. Geological Survey (USGS), in partnership with the Idaho Department of Water Resources (IDWR) and Idaho Water Resource Board (IWRB), will construct a numerical groundwater-flow model of the Treasure Valley and surrounding area. Resource managers will use the model to simulate potential anthropogenic and climatic effects on groundwater for water-supply planning and management. As part of model construction, the hydrogeologic understanding of the aquifer system will be updated with information collected during the last two decades, as well as new data collected for the study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173027","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Bartolino, J.R., and Vincent, Sean, 2017, A groundwater-flow model for the Treasure Valley and surrounding area, southwestern Idaho: U.S. Geological Survey Fact Sheet 2017-3027, 4 p., https://doi.org/10.3133/fs20173027.","productDescription":"4 p.","ipdsId":"IP-080721","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":339801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3027/fs20173027.pdf","text":"Report","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3027"},{"id":339800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3027/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Treasure Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117,\n              43\n            ],\n            [\n              -115.5,\n              43\n            ],\n            [\n              -115.5,\n              44\n            ],\n            [\n              -117,\n              44\n            ],\n            [\n              -117,\n              43\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, Idaho Water Science Center<br> U.S. Geological Survey<br> F.H. Newell Federal building<br> 230 Collins Road<br> Boise, ID 83702<br> <a href=\"http://id.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://id.water.usgs.gov\">http://id.water.usgs.gov</a></p>","tableOfContents":"<ul><li>The Treasure Valley<br></li><li>Hydrology of the Treasure Valley<br></li><li>Groundwater Modeling—A Tool for Understanding and Managing the Resource<br></li><li>Collaborative USGS-IDWR Groundwater-Flow Model Project<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-04-17","noUsgsAuthors":false,"publicationDate":"2017-04-17","publicationStatus":"PW","scienceBaseUri":"58f5d43ce4b0f2e20545e401","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vincent, Sean","contributorId":190688,"corporation":false,"usgs":false,"family":"Vincent","given":"Sean","email":"","affiliations":[],"preferred":false,"id":690357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186968,"text":"70186968 - 2017 - Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data","interactions":[],"lastModifiedDate":"2017-04-17T13:38:09","indexId":"70186968","displayToPublicDate":"2017-04-17T00:00:00","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":"Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data","docAbstract":"<p><span>Precipitation samples have been collected by the National Atmospheric Deposition Program's (NADP) National Trends Network (NTN) using the Aerochem Metrics Model 301 (ACM) collector since 1978. Approximately one-third of the NTN ACM collectors have been replaced with N-CON Systems, Inc. Model ADS 00-120 (NCON) collectors. Concurrent data were collected over 6&nbsp;years&nbsp;at 12 NTN sites using colocated ACM and NCON collectors in various precipitation regimes. Linear regression models of the colocated data were used to adjust for relative bias between the collectors. Replacement of ACM collectors with NCON collectors resulted in shifts in 10-year seasonal precipitation-weighted mean concentration (PWMC) trend slopes for: cations (−0.001 to&nbsp;−0.007&nbsp;mgL</span><sup>−1</sup><span>yr</span><sup>−1</sup><span>), anions (−0.009 to&nbsp;−0.028&nbsp;mgL</span><sup>−1</sup><span>yr</span><sup>−1</sup><span>), and hydrogen ion (+0.689 meqL-</span><sup>1</sup><span>yr</span><sup>−1</sup><span>). Larger shifts in NO</span><sub>3</sub><sup>−</sup><span> and SO</span><sub>4</sub><sup>−2</sup><span> seasonal PWMC trend slopes were observed in the Midwest and Northeast US, where concentrations are generally higher than in other regions. Geospatial analysis of interpolated concentration rasters indicated regions of accentuated variability introduced by incorporation of NCON collectors into the NTN.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"London","doi":"10.1016/j.envpol.2016.12.036","usgsCitation":"Wetherbee, G.A., 2017, Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data: Environmental Pollution, v. 223, p. 90-101, https://doi.org/10.1016/j.envpol.2016.12.036.","productDescription":"12 p.","startPage":"90","endPage":"101","ipdsId":"IP-076925","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":461635,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2016.12.036","text":"Publisher Index 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