{"pageNumber":"921","pageRowStart":"23000","pageSize":"25","recordCount":165549,"records":[{"id":70192054,"text":"70192054 - 2017 - Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques","interactions":[],"lastModifiedDate":"2017-10-19T16:28:10","indexId":"70192054","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques","docAbstract":"<p><span>Analysis of environmental DNA (eDNA) is an emerging technique used to detect aquatic species through water sampling and the extraction of biological material for amplification. Our study compared the efficacy of eDNA methodology to American Fisheries Society (AFS) standard snorkeling surveys with regard to detecting the presence of rare fish species. Knowing which method is more efficient at detecting target species will help managers to determine the best way to sample when both traditional sampling methods and eDNA sampling are available. Our study site included three Navajo Nation streams that contained Navajo Nation Genetic Subunit Bluehead Suckers&nbsp;</span><i>Catostomus discobolus</i><span><span>&nbsp;</span>and Zuni Bluehead Suckers<span>&nbsp;</span></span><i>C. discobolus yarrowi</i><span>. We first divided the entire wetted area of streams into consecutive 100-m reaches and then systematically selected 10 reaches/stream for snorkel and eDNA surveys. Surface water samples were taken in 10-m sections within each 100-m reach, while fish presence was noted via snorkeling in each 10-m section. Quantitative PCR was run on each individual water sample in quadruplicate to test for the presence or absence of the target species. With eDNA sampling techniques, we were able to positively detect both species in two out of the three streams. Snorkeling resulted in positive detection of both species in all three streams. In streams where the target species were detected with eDNA sampling, snorkeling detected fish at 11–29 sites/stream, whereas eDNA detected fish at 3–12 sites/stream. Our results suggest that AFS standard snorkeling is more effective than eDNA for detecting target fish species. To improve our eDNA procedures, the amount of water collected and tested should be increased. Additionally, filtering water on-site may improve eDNA techniques for detecting fish. Future research should focus on standardization of eDNA sampling to provide a widely operational sampling tool.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1306005","usgsCitation":"Ulibarri, R.M., Bonar, S.A., Rees, C.B., Amberg, J., Ladell, B., and Jackson, C., 2017, Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques: North American Journal of Fisheries Management, v. 37, no. 3, p. 644-651, https://doi.org/10.1080/02755947.2017.1306005.","productDescription":"8 p.","startPage":"644","endPage":"651","ipdsId":"IP-085361","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.55291748046875,\n              35.97467213380802\n            ],\n            [\n              -108.76327514648438,\n              35.97467213380802\n            ],\n            [\n              -108.76327514648438,\n              36.353845104753745\n            ],\n            [\n              -109.55291748046875,\n              36.353845104753745\n            ],\n            [\n              -109.55291748046875,\n              35.97467213380802\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c65","contributors":{"authors":[{"text":"Ulibarri, Roy M.","contributorId":197754,"corporation":false,"usgs":false,"family":"Ulibarri","given":"Roy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rees, Christopher B. crees@usgs.gov","contributorId":5500,"corporation":false,"usgs":true,"family":"Rees","given":"Christopher","email":"crees@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":714220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":714221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ladell, Bridget","contributorId":197751,"corporation":false,"usgs":false,"family":"Ladell","given":"Bridget","affiliations":[],"preferred":false,"id":714222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, Craig 0000-0003-4023-0276 cjackson@usgs.gov","orcid":"https://orcid.org/0000-0003-4023-0276","contributorId":192276,"corporation":false,"usgs":true,"family":"Jackson","given":"Craig","email":"cjackson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":714028,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192636,"text":"70192636 - 2017 - Temporal and spatial distribution of Paleozoic metamorphism in the southern Appalachian Blue Ridge and Inner Piedmont delimited by ion microprobe U-Pb ages of metamorphic zircon","interactions":[],"lastModifiedDate":"2018-03-26T14:19:39","indexId":"70192636","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Temporal and spatial distribution of Paleozoic metamorphism in the southern Appalachian Blue Ridge and Inner Piedmont delimited by ion microprobe U-Pb ages of metamorphic zircon","docAbstract":"<p><span>Ion microprobe U-Pb zircon rim ages from 39 samples from across the accreted terranes of the central Blue Ridge, eastward across the Inner Piedmont, delimit the timing and spatial extent of superposed metamorphism in the southern Appalachian orogen. Metamorphic zircon rims are 10–40 µm wide, mostly unzoned, and dark gray to black or bright white in cathodoluminescence, and truncate and/or embay interior oscillatory zoning. Black unzoned and rounded or ovoid-shaped metamorphic zircon morphologies also occur. Th/U values range from 0.01 to 1.4, with the majority of ratios less than 0.1. Results of&nbsp;</span><sup>206</sup><span>Pb/</span><sup>238</sup><span>U ages, ±2% discordant, range from 481 to 305 Ma. Clustering within these data reveals that the Blue Ridge and Inner Piedmont terranes were affected by three tectonothermal events: (1) 462–448 Ma (Taconic); (2) 395–340 Ma (Acadian and Neoacadian); and (3) 335–322 Ma, related to the early phase of the Alleghanian orogeny. By combining zircon rim ages with metamorphic isograds and other published isotopic ages, we identify the thermal architecture of the southern Appalachian orogen: juxtaposed and superposed metamorphic domains have younger ages to the east related to the marginward addition of terranes, and these domains can serve as a proxy to delimit terrane accretion. Most 462–448 Ma ages occur in the western and central Blue Ridge and define a continuous progression from greenschist to granulite facies that identifies the intact Taconic core. The extent of 462–448 Ma metamorphism indicates that the central Blue Ridge and Tugaloo terranes were accreted to the western Blue Ridge during the Taconic orogeny. Zircon rim ages in the Inner Piedmont span almost 100 m.y., with peaks at 395–385, 376–340, and 335–322 Ma, and delimit the Acadian-Neoacadian and Alleghanian metamorphic core. The timing and distribution of metamorphism in the Inner Piedmont are consistent with the Devonian to Mississippian oblique collision of the Carolina superterrane, followed by an early phase of Alleghanian metamorphism at 335–322 Ma (temperature &gt;500 °C). The eastern Blue Ridge contains evidence of three possible tectonothermal events: ~460 Ma, 376–340 Ma, and ~335 Ma. All of the crystalline terranes of the Blue Ridge–Piedmont megathrust sheet were affected by Alleghanian metamorphism and deformation.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Linkages and feedbacks in orogenic systems","language":"English","publisher":"Geological Society of America","doi":"10.1130/2017.1213(10)","usgsCitation":"Merschat, A.J., Bream, B.R., Huebner, M.T., Hatcher, R., and Miller, C.F., 2017, Temporal and spatial distribution of Paleozoic metamorphism in the southern Appalachian Blue Ridge and Inner Piedmont delimited by ion microprobe U-Pb ages of metamorphic zircon, chap. <i>of</i> Linkages and feedbacks in orogenic systems, v. 213, p. 199-254, https://doi.org/10.1130/2017.1213(10).","productDescription":"56 p.","startPage":"199","endPage":"254","ipdsId":"IP-079608","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":351476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"213","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3da","contributors":{"authors":[{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":716611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bream, Brendan R.","contributorId":198641,"corporation":false,"usgs":false,"family":"Bream","given":"Brendan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huebner, Matthew T.","contributorId":191401,"corporation":false,"usgs":false,"family":"Huebner","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":716614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcher, Robert D.","contributorId":178197,"corporation":false,"usgs":false,"family":"Hatcher","given":"Robert D.","affiliations":[],"preferred":false,"id":716613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Calvin F.","contributorId":198642,"corporation":false,"usgs":false,"family":"Miller","given":"Calvin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":716615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192635,"text":"70192635 - 2017 - Linkages and feedbacks in orogenic systems: An introduction","interactions":[],"lastModifiedDate":"2018-02-12T12:52:12","indexId":"70192635","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Linkages and feedbacks in orogenic systems: An introduction","docAbstract":"<p><span>Orogenic processes operate at scales ranging from the lithosphere to grain-scale, and are inexorably linked. For example, in many orogens, fault and shear zone architecture controls distribution of heat advection along faults and also acts as the primary mechanism for redistribution of heat-producing material. This sets up the thermal structure of the orogen, which in turn controls lithospheric rheology, the nature and distribution of deformation and strain localization, and ultimately, through localized mechanical strengthening and weakening, the fundamental shape of the developing orogenic wedge (</span><a class=\"link link-reveal link-table xref-fig\" data-open=\"ch0_F1\">Fig. 1</a><span>). Strain localization establishes shear zone and fault geometry, and it is the motion on these structures, in conjunction with climate, that often focuses erosional and exhumational processes. This climatic focusing effect can even drive development of asymmetry at the scale of the entire wedge (</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"ch0_r42\">Willett et al., 1993</a><span>).</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Linkages and feedbacks in orogenic systems","language":"English","publisher":"Geological Society of America","doi":"10.1130/2017.1213(00)","usgsCitation":"Thigpen, J.R., Law, R.D., Merschat, A.J., and Stowell, H., 2017, Linkages and feedbacks in orogenic systems: An introduction, chap. <i>of</i> Linkages and feedbacks in orogenic systems, v. 213, p. vii-xv, https://doi.org/10.1130/2017.1213(00).","productDescription":"9 p.","startPage":"vii","endPage":"xv","ipdsId":"IP-086625","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":351477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347522,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.geoscienceworld.org/books/book/1863/chapter/113742424/linkages-and-feedbacks-in-orogenic-systems-an"}],"volume":"213","edition":"213","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3dc","contributors":{"authors":[{"text":"Thigpen, J. Ryan","contributorId":173115,"corporation":false,"usgs":false,"family":"Thigpen","given":"J.","email":"","middleInitial":"Ryan","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":716608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Law, Richard D.","contributorId":198639,"corporation":false,"usgs":false,"family":"Law","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":716609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":716607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stowell, Harold","contributorId":198640,"corporation":false,"usgs":false,"family":"Stowell","given":"Harold","affiliations":[],"preferred":false,"id":716610,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192633,"text":"70192633 - 2017 - Imputation approaches for animal movement modeling","interactions":[],"lastModifiedDate":"2017-11-10T10:51:06","indexId":"70192633","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Imputation approaches for animal movement modeling","docAbstract":"<p><span>The analysis of telemetry data is common in animal ecological studies. While the collection of telemetry data for individual animals has improved dramatically, the methods to properly account for inherent uncertainties (e.g., measurement error, dependence, barriers to movement) have lagged behind. Still, many new statistical approaches have been developed to infer unknown quantities affecting animal movement or predict movement based on telemetry data. Hierarchical statistical models are useful to account for some of the aforementioned uncertainties, as well as provide population-level inference, but they often come with an increased computational burden. For certain types of statistical models, it is straightforward to provide inference if the latent true animal trajectory is known, but challenging otherwise. In these cases, approaches related to multiple imputation have been employed to account for the uncertainty associated with our knowledge of the latent trajectory. Despite the increasing use of imputation approaches for modeling animal movement, the general sensitivity and accuracy of these methods have not been explored in detail. We provide an introduction to animal movement modeling and describe how imputation approaches may be helpful for certain types of models. We also assess the performance of imputation approaches in two simulation studies. Our simulation studies suggests that inference for model parameters directly related to the location of an individual may be more accurate than inference for parameters associated with higher-order processes such as velocity or acceleration. Finally, we apply these methods to analyze a telemetry data set involving northern fur seals (</span><i class=\"EmphasisTypeItalic \">Callorhinus ursinus</i><span>) in the Bering Sea. Supplementary materials accompanying this paper appear online.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13253-017-0294-5","usgsCitation":"Scharf, H., Hooten, M., and Johnson, D., 2017, Imputation approaches for animal movement modeling: Journal of Agricultural, Biological, and Environmental Statistics, v. 22, no. 3, p. 335-352, https://doi.org/10.1007/s13253-017-0294-5.","productDescription":"18 p.","startPage":"335","endPage":"352","ipdsId":"IP-083743","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469562,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://arxiv.org/abs/1705.10310","text":"External Repository"},{"id":348558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"5a06c8c8e4b09af898c860fb","contributors":{"authors":[{"text":"Scharf, Henry","contributorId":200238,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","affiliations":[],"preferred":false,"id":721545,"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":716605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":721546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191175,"text":"70191175 - 2017 - Crossing boundaries in a collaborative modeling workspace","interactions":[],"lastModifiedDate":"2017-09-28T13:14:42","indexId":"70191175","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Crossing boundaries in a collaborative modeling workspace","docAbstract":"<p><span>There is substantial literature on the importance of bridging across disciplinary and science–management boundaries. One of the ways commonly suggested to cross boundaries is for participants from both sides of the boundary to jointly produce information (i.e., knowledge co-production). But simply providing tools or bringing people together in the same room is not sufficient. Here we present a case study documenting the mechanisms by which managers and scientists collaborated to incorporate climate change projections into Colorado’s State Wildlife Action Plan. A critical component of the project was the use of a collaborative modeling and visualization workspace: the U.S. Geological Survey’s Resource for Advanced Modeling (RAM). Using video analysis and pre/post surveys from this case study, we examine how the RAM facilitated cognitive and social processes that co-produced a more salient and credible end product. This case provides practical suggestions to scientists and practitioners who want to implement actionable science.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2017.1290178","usgsCitation":"Morisette, J.T., Cravens, A.E., Miller, B., Talbert, M., Talbert, C., Jarnevich, C.S., Fink, M., Decker, K., and Odell, E., 2017, Crossing boundaries in a collaborative modeling workspace: Society and Natural Resources, v. 30, no. 9, p. 1158-1167, https://doi.org/10.1080/08941920.2017.1290178.","productDescription":"10 p.","startPage":"1158","endPage":"1167","ipdsId":"IP-081405","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":346161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-10","publicationStatus":"PW","scienceBaseUri":"59ce0a2be4b05fe04cc02108","contributors":{"authors":[{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":711420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":195418,"corporation":false,"usgs":true,"family":"Miller","given":"Brian W.","email":"bwmiller@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":711425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbert, Marian","contributorId":196751,"corporation":false,"usgs":false,"family":"Talbert","given":"Marian","affiliations":[],"preferred":false,"id":711421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbert, Colin 0000-0002-9505-1876 talbertc@usgs.gov","orcid":"https://orcid.org/0000-0002-9505-1876","contributorId":181913,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fink, Michelle","contributorId":196753,"corporation":false,"usgs":false,"family":"Fink","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":711426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Decker, Karin","contributorId":196754,"corporation":false,"usgs":false,"family":"Decker","given":"Karin","email":"","affiliations":[],"preferred":false,"id":711427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Odell, Eric","contributorId":196755,"corporation":false,"usgs":false,"family":"Odell","given":"Eric","email":"","affiliations":[],"preferred":false,"id":711428,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70188428,"text":"70188428 - 2017 - Assessment of forest degradation in Vietnam using Landsat time series data","interactions":[],"lastModifiedDate":"2017-09-18T16:35:26","indexId":"70188428","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of forest degradation in Vietnam using Landsat time series data","docAbstract":"<p><span>Landsat time series data were used to characterize forest degradation in Lam Dong Province, Vietnam. We conducted three types of image change analyses using Landsat time series data to characterize the land cover changes. Our analyses concentrated on the timeframe of 1973–2014, with much emphasis on the latter part of that range. We conducted a field trip through Lam Dong Province to develop a better understanding of the ground conditions of the region, during which we obtained many photographs of representative forest sites with Global Positioning System locations to assist us in our image interpretations. High-resolution Google Earth imagery and Landsat data of the region were used to validate results. In general, our analyses indicated that many land-use changes have occurred throughout Lam Dong Province, including gradual forest to non-forest transitions. Recent changes are most marked along the relatively narrow interfaces between agricultural and forest areas that occur towards the boundaries of the province. One important observation is that the most highly protected national reserves in the region have not changed much over the entire Landsat timeframe (1972–present). Spectral changes within these regions have not occurred at the same levels as those areas adjacent to the reserves.&nbsp;</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f8070238","usgsCitation":"Vogelmann, J., Van Khoa, P., Lan, X., Shermeyer, J.S., Shi, H., Wimberly, M.C., Tat Duong, H., and Van Huong, L., 2017, Assessment of forest degradation in Vietnam using Landsat time series data: Forests, v. 8, no. 7, p. 1-22, https://doi.org/10.3390/f8070238.","productDescription":"Article 238; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-087749","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8070238","text":"Publisher Index Page"},{"id":345866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Vietnam","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[108.05018,21.55238],[106.71507,20.69685],[105.88168,19.75205],[105.66201,19.05817],[106.42682,18.00412],[107.36195,16.69746],[108.2695,16.07974],[108.87711,15.27669],[109.33527,13.42603],[109.20014,11.66686],[108.36613,11.00832],[107.22093,10.36448],[106.40511,9.53084],[105.15826,8.59976],[104.79519,9.24104],[105.0762,9.91849],[104.33433,10.48654],[105.19991,10.88931],[106.24967,10.96181],[105.81052,11.56761],[107.4914,12.33721],[107.61455,13.53553],[107.38273,14.20244],[107.56453,15.20217],[107.31271,15.90854],[106.55601,16.60428],[105.92576,17.48532],[105.0946,18.66697],[103.89653,19.26518],[104.18339,19.62467],[104.82257,19.88664],[104.435,20.75873],[103.20386,20.76656],[102.7549,21.67514],[102.17044,22.46475],[102.70699,22.7088],[103.50451,22.70376],[104.47686,22.81915],[105.32921,23.35206],[105.81125,22.97689],[106.7254,22.79427],[106.56727,22.2182],[107.04342,21.8119],[108.05018,21.55238]]]},\"properties\":{\"name\":\"Vietnam\"}}]}","volume":"8","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","scienceBaseUri":"59c0db1ee4b091459a5f4733","contributors":{"authors":[{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Khoa, Phung","contributorId":192766,"corporation":false,"usgs":false,"family":"Van Khoa","given":"Phung","email":"","affiliations":[],"preferred":false,"id":697699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lan, Xuan","contributorId":192767,"corporation":false,"usgs":false,"family":"Lan","given":"Xuan","email":"","affiliations":[],"preferred":false,"id":697700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shermeyer, Jacob S. 0000-0002-8143-2790 jshermeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8143-2790","contributorId":5825,"corporation":false,"usgs":true,"family":"Shermeyer","given":"Jacob","email":"jshermeyer@usgs.gov","middleInitial":"S.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":697701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":192768,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":697702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wimberly, Michael C.","contributorId":167855,"corporation":false,"usgs":false,"family":"Wimberly","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":697703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tat Duong, Hoang","contributorId":192770,"corporation":false,"usgs":false,"family":"Tat Duong","given":"Hoang","email":"","affiliations":[],"preferred":false,"id":697704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Huong, Le","contributorId":192771,"corporation":false,"usgs":false,"family":"Van Huong","given":"Le","email":"","affiliations":[],"preferred":false,"id":697705,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193546,"text":"70193546 - 2017 - Estimating age at a specified length from the von Bertalanffy growth function","interactions":[],"lastModifiedDate":"2017-11-14T13:05:24","indexId":"70193546","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating age at a specified length from the von Bertalanffy growth function","docAbstract":"<p><span>Estimating the time required (i.e., age) for fish in a population to reach a specific length (e.g., legal harvest length) is useful for understanding population dynamics and simulating the potential effects of length-based harvest regulations. The age at which a population reaches a specific mean length is typically estimated by fitting a von Bertalanffy growth function to length-at-age data and then rearranging the best-fit equation to solve for age at the specified length. This process precludes the use of standard frequentist methods to compute confidence intervals and compare estimates of age at the specified length among populations. We provide a parameterization of the von Bertalanffy growth function that has age at a specified length as a parameter. With this parameterization, age at a specified length is directly estimated, and standard methods can be used to construct confidence intervals and make among-group comparisons for this parameter. We demonstrate use of the new parameterization with two data sets.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1342725","usgsCitation":"Ogle, D.H., and Isermann, D.A., 2017, Estimating age at a specified length from the von Bertalanffy growth function: North American Journal of Fisheries Management, v. 37, no. 5, p. 1176-1180, https://doi.org/10.1080/02755947.2017.1342725.","productDescription":"15 p.","startPage":"1176","endPage":"1180","ipdsId":"IP-083184","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fbc","contributors":{"authors":[{"text":"Ogle, Derek H.","contributorId":73967,"corporation":false,"usgs":true,"family":"Ogle","given":"Derek","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":722032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719323,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194200,"text":"70194200 - 2017 - Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback","interactions":[],"lastModifiedDate":"2017-11-17T15:17:37","indexId":"70194200","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback","docAbstract":"<p><span>Ongoing climate change poses significant threats to plant function and distribution. Increased temperatures and altered precipitation regimes amplify drought frequency and intensity, elevating plant stress and mortality. Large-scale forest mortality events will have far-reaching impacts on carbon and hydrological cycling, biodiversity, and ecosystem services. However, biogeographical theory and global vegetation models poorly represent recent forest die-off patterns. Furthermore, as trees are sessile and long-lived, their responses to climate extremes are substantially dependent on historical factors. We show that periods of favourable climatic and management conditions that facilitate abundant tree growth can lead to structural overshoot of aboveground tree biomass due to a subsequent temporal mismatch between water demand and availability. When environmental favourability declines, increases in water and temperature stress that are protracted, rapid, or both, drive a gradient of tree structural responses that can modify forest self-thinning relationships. Responses ranging from premature leaf senescence and partial canopy dieback to whole-tree mortality reduce canopy leaf area during the stress period and for a lagged recovery window thereafter. Such temporal mismatches of water requirements from availability can occur at local to regional scales throughout a species geographical range. As climate change projections predict large future fluctuations in both wet and dry conditions, we expect forests to become increasingly structurally mismatched to water availability and thus overbuilt during more stressful episodes. By accounting for the historical context of biomass development, our approach can explain previously problematic aspects of large-scale forest mortality, such as why it can occur throughout the range of a species and yet still be locally highly variable, and why some events seem readily attributable to an ongoing drought while others do not. This refined understanding can facilitate better projections of structural overshoot responses, enabling improved prediction of changes in forest distribution and function from regional to global scales.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13636","usgsCitation":"Jump, A.S., Ruiz-Benito, P., Greenwood, S., Allen, C.D., Kitzberger, T., Fensham, R., Martinez-Vilalta, J., and Lloret, F., 2017, Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback: Global Change Biology, v. 23, no. 9, p. 3742-3757, https://doi.org/10.1111/gcb.13636.","productDescription":"16 p.","startPage":"3742","endPage":"3757","ipdsId":"IP-080197","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":461419,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11336/58501","text":"External Repository"},{"id":349076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb1","contributors":{"authors":[{"text":"Jump, Alistair S.","contributorId":200547,"corporation":false,"usgs":false,"family":"Jump","given":"Alistair","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":722631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruiz-Benito, Paloma","contributorId":200538,"corporation":false,"usgs":false,"family":"Ruiz-Benito","given":"Paloma","email":"","affiliations":[],"preferred":false,"id":722632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenwood, Sarah","contributorId":200537,"corporation":false,"usgs":false,"family":"Greenwood","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":722633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":722630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kitzberger, Thomas","contributorId":181980,"corporation":false,"usgs":false,"family":"Kitzberger","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":722634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fensham, Rod","contributorId":200542,"corporation":false,"usgs":false,"family":"Fensham","given":"Rod","email":"","affiliations":[],"preferred":false,"id":722635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinez-Vilalta, Jordi","contributorId":200548,"corporation":false,"usgs":false,"family":"Martinez-Vilalta","given":"Jordi","email":"","affiliations":[],"preferred":false,"id":722636,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lloret, Francisco","contributorId":181986,"corporation":false,"usgs":false,"family":"Lloret","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":722637,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70195776,"text":"70195776 - 2017 - New Zealand supereruption provides time marker for the Last Glacial Maximum in Antarctica","interactions":[],"lastModifiedDate":"2018-03-02T11:38:47","indexId":"70195776","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"New Zealand supereruption provides time marker for the Last Glacial Maximum in Antarctica","docAbstract":"<p><span>Multiple, independent time markers are essential to correlate sediment and ice cores from the terrestrial, marine and glacial realms. These records constrain global paleoclimate reconstructions and inform future climate change scenarios. In the Northern Hemisphere, sub-visible layers of volcanic ash (cryptotephra) are valuable time markers due to their widespread dispersal and unique geochemical fingerprints. However, cryptotephra are not as widely identified in the Southern Hemisphere, leaving a gap in the climate record, particularly during the Last Glacial Maximum (LGM). Here we report the first identification of New Zealand volcanic ash in Antarctic ice. The Oruanui supereruption from Taupo volcano (25,580  ±  258 cal. a BP) provides a key time marker for the LGM in the New Zealand sector of the SW Pacific. This finding provides a high-precision chronological link to mid-latitude terrestrial and marine sites, and sheds light on the long-distance transport of tephra in the Southern Hemisphere. As occurred after identification of the Alaskan White River Ash in northern Europe, recognition of ash from the Oruanui eruption in Antarctica dramatically increases the reach and value of tephrochronology, providing links among climate records in widely different geographic areas and depositional environments.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-017-11758-0","usgsCitation":"Dunbar, N.W., Iverson, N.A., Van Eaton, A., Sigl, M., Alloway, B.V., Kurbatov, A., Mastin, L.G., McConnell, J.R., and Wilson, C.J., 2017, New Zealand supereruption provides time marker for the Last Glacial Maximum in Antarctica: Scientific Reports, v. 7, Article number: 12238; 8 p., https://doi.org/10.1038/s41598-017-11758-0.","productDescription":"Article number: 12238; 8 p.","ipdsId":"IP-088931","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-017-11758-0","text":"Publisher Index Page"},{"id":352180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","volume":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d4","contributors":{"authors":[{"text":"Dunbar, Nelia W.","contributorId":140600,"corporation":false,"usgs":false,"family":"Dunbar","given":"Nelia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":729940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Nels A.","contributorId":202862,"corporation":false,"usgs":false,"family":"Iverson","given":"Nels","email":"","middleInitial":"A.","affiliations":[{"id":36537,"text":"EES Department, New Mexico Tech, Socorro, NM, USA","active":true,"usgs":false}],"preferred":false,"id":729941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":140076,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa R.","email":"avaneaton@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":729939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sigl, Michael","contributorId":140718,"corporation":false,"usgs":false,"family":"Sigl","given":"Michael","affiliations":[],"preferred":false,"id":729942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alloway, Brent V.","contributorId":202863,"corporation":false,"usgs":false,"family":"Alloway","given":"Brent","email":"","middleInitial":"V.","affiliations":[{"id":36538,"text":"School of Environment, The University of Auckland, Private Bag 92019, Auckland, New Zealand","active":true,"usgs":false}],"preferred":false,"id":729943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kurbatov, Andrei V.","contributorId":202864,"corporation":false,"usgs":false,"family":"Kurbatov","given":"Andrei V.","affiliations":[{"id":36539,"text":"Climate Change Institute, University of Maine, Orono, ME, USA","active":true,"usgs":false}],"preferred":false,"id":729944,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":729945,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McConnell, Joseph R.","contributorId":191064,"corporation":false,"usgs":false,"family":"McConnell","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":729946,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilson, Colin J. N.","contributorId":202865,"corporation":false,"usgs":false,"family":"Wilson","given":"Colin","email":"","middleInitial":"J. N.","affiliations":[{"id":36540,"text":"Victoria University, PO Box 600, Wellington 6140, New Zealand","active":true,"usgs":false}],"preferred":false,"id":729947,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70194621,"text":"70194621 - 2017 - Comparison of acoustic recorders and field observers for monitoring tundra bird communities","interactions":[],"lastModifiedDate":"2018-03-29T15:57:27","indexId":"70194621","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of acoustic recorders and field observers for monitoring tundra bird communities","docAbstract":"<p><span>Acoustic recorders can be useful for studying bird populations but their efficiency and accuracy should be assessed in pertinent ecological settings before use. We investigated the utility of an acoustic recorder for monitoring abundance of tundra‐breeding birds relative to point‐count surveys in northwestern Alaska, USA, during 2014. Our objectives were to 1) compare numbers of birds and species detected by a field observer with those detected simultaneously by an acoustic recorder; 2) evaluate how detection probabilities for the observer and acoustic recorder varied with distance of birds from the survey point; and 3) evaluate whether avian guild‐specific detection rates differed between field observers and acoustic recorders relative to habitat. Compared with the observer, the acoustic recorder detected fewer species (β</span><sub>Method</sub><span> = −0.39 ± 0.07) and fewer individuals (β</span><sub>Method</sub><span> = −0.56 ± 0.05) in total and for 6 avian guilds. Discrepancies were attributed primarily to differences in effective area surveyed (91% missed by device were &gt;100 m), but also to nonvocal birds being missed by the recorder (55% missed &lt;100 m were silent). The observer missed a few individuals and one species detected by the device. Models indicated that relative abundance of various avian guilds was associated primarily with maximum shrub height and less so with shrub cover and visual obstruction. The absence of a significant interaction between survey method (observer<span>&nbsp;</span></span><i>vs</i><span>. acoustic recorder) and any habitat characteristic suggests that traditional point counts and acoustic recorders would yield similar inferences about ecological relationships in tundra ecosystems. Pairing of the 2 methods could increase survey efficiency and allow for validation and archival of survey results.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.785","usgsCitation":"Vold, S.T., Handel, C.M., and McNew, L.B., 2017, Comparison of acoustic recorders and field observers for monitoring tundra bird communities: Wildlife Society Bulletin, v. 41, no. 3, p. 566-576, https://doi.org/10.1002/wsb.785.","productDescription":"11 p.","startPage":"566","endPage":"576","ipdsId":"IP-076226","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":500001,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/e1da09f62c874b1b8e656f413aa1edef","text":"External Repository"},{"id":352970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.519287109375,\n              64.26845392293136\n            ],\n            [\n              -161.488037109375,\n              64.26845392293136\n            ],\n            [\n              -161.488037109375,\n              66.67473718353055\n            ],\n            [\n              -168.519287109375,\n              66.67473718353055\n            ],\n            [\n              -168.519287109375,\n              64.26845392293136\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-26","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d6","contributors":{"authors":[{"text":"Vold, Skyler T.","contributorId":201220,"corporation":false,"usgs":false,"family":"Vold","given":"Skyler","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":724654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":724653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNew, Lance B.","contributorId":190322,"corporation":false,"usgs":false,"family":"McNew","given":"Lance","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":724655,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193005,"text":"70193005 - 2017 - Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways","interactions":[],"lastModifiedDate":"2017-11-22T16:45:09","indexId":"70193005","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diel variation in detection and vocalization rates of king (<i>Rallus elegans</i>) and clapper (<i>Rallus crepitans</i>) rails in intracoastal waterways","title":"Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways","docAbstract":"Surveys for secretive marsh birds could be improved with refinements to address regional and species-specific variation in detection probabilities and optimal times of day to survey. Diel variation in relation to naïve occupancy, detection rates, and vocalization rates of King (Rallus elegans) and Clapper (R. crepitans) rails were studied in intracoastal waterways in Virginia, USA. Autonomous acoustic devices recorded vocalizations of King and Clapper rails at 75 locations for 48-hr periods within a marsh complex. Naïve King and Clapper rail occupancy did not vary hourly at either the marsh or the study area level. Combined King and Clapper rail detections and vocalizations varied across marshes, decreased as the sampling season progressed, and, for detections, was greatest during low rising tides (P < 0.01). Hourly variation in vocalization and detection rates did not show a pattern but occurred between 7.8% of pairwise comparisons for detections and 10.5% of pairwise comparisons for vocalizations (P < 0.01). Higher rates of detections and vocalizations occurred during the hours of 00:00–00:59, 05:00–05:59, 14:00–15:59, and lower rates during the hours of 07:00–09:59. Although statistically significant, because there were no patterns in these hourly differences, they may not be biologically relevant and are of little use to management. In fact, these findings demonstrate that surveys for King and Clapper rails in Virginia intracoastal waterways may be effectively conducted throughout the day.","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.040.0307","usgsCitation":"Stiffler, L.L., Anderson, J.T., Welsh, A.B., Harding, S.R., Costanzo, G.R., and Katzner, T., 2017, Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways: Waterbirds, v. 40, no. 3, p. 263-271, https://doi.org/10.1675/063.040.0307.","productDescription":"9 p.","startPage":"263","endPage":"271","ipdsId":"IP-082121","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469561,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.040.0307","text":"Publisher Index Page"},{"id":348045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Pamunkey River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.94137573242188,\n              37.507002385534385\n            ],\n            [\n              -76.80061340332031,\n              37.507002385534385\n            ],\n            [\n              -76.80061340332031,\n              37.59301558619924\n            ],\n            [\n              -76.94137573242188,\n              37.59301558619924\n            ],\n            [\n              -76.94137573242188,\n              37.507002385534385\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd20e4b0531197b13c7f","contributors":{"authors":[{"text":"Stiffler, Lydia L.","contributorId":198904,"corporation":false,"usgs":false,"family":"Stiffler","given":"Lydia","email":"","middleInitial":"L.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":717595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":717596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Amy B.","contributorId":192239,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":717597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harding, Sergio R.","contributorId":198906,"corporation":false,"usgs":false,"family":"Harding","given":"Sergio","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Costanzo, Gary R.","contributorId":198907,"corporation":false,"usgs":false,"family":"Costanzo","given":"Gary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717599,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":717594,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193558,"text":"70193558 - 2017 - Book review: Serendipity: An ecologist’s quest to understand nature","interactions":[],"lastModifiedDate":"2017-12-04T10:17:17","indexId":"70193558","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Serendipity: An ecologist’s quest to understand nature","docAbstract":"<p><span>A common thought among graduate students is: “how do established scientists get where they are today?” In&nbsp;</span><i>Serendipity: An Ecologist’s Quest to Understand Nature</i><span>, James Estes offers a personal reflection on research experiences spanning his 50-year career, beginning as a Ph.D. student in 1970 and concluding with recognition as a member of the National Academy of Sciences in 2014. Estes chronologically outlines the foundational trophic cascade ecology research that he and colleagues conducted in the Aleutian Islands, examining key relationships among kelp forests, sea otters, sea urchins, and killer whales through anecdotal stories of achievement and challenge. Estes’ 3 main goals in writing this book are to: (1) recount what he had learned from 50 years of research;...</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyx108","usgsCitation":"Ball, E.E., Adams, D.M., Dupuie, J.N., Jones, M.M., McGovern, P.G., Ruden, R.M., Schmidt, S., Vaziri, G.J., Eeling, J.S., Kirk, B.D., McCombs, A.L., Rabinowitz, A.B., Thompson, K.M., Hudson, Z.J., and Klaver, R.W., 2017, Book review: Serendipity: An ecologist’s quest to understand nature: Journal of Mammalogy, v. 98, no. 5, p. 1509-1510, https://doi.org/10.1093/jmammal/gyx108.","productDescription":"2 p.","startPage":"1509","endPage":"1510","ipdsId":"IP-087773","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyx108","text":"Publisher Index Page"},{"id":349617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb9","contributors":{"authors":[{"text":"Ball, E. E.","contributorId":201067,"corporation":false,"usgs":false,"family":"Ball","given":"E.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":724250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, D. M.","contributorId":201068,"corporation":false,"usgs":false,"family":"Adams","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dupuie, J. N. Jr.","contributorId":201069,"corporation":false,"usgs":false,"family":"Dupuie","given":"J.","suffix":"Jr.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":724252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, M. M.","contributorId":201070,"corporation":false,"usgs":false,"family":"Jones","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGovern, P. G.","contributorId":201072,"corporation":false,"usgs":false,"family":"McGovern","given":"P.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":724254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruden, R. M.","contributorId":201073,"corporation":false,"usgs":false,"family":"Ruden","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, S.R.","contributorId":73719,"corporation":false,"usgs":true,"family":"Schmidt","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":724256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vaziri, G. J.","contributorId":201074,"corporation":false,"usgs":false,"family":"Vaziri","given":"G.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724257,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eeling, J. S.","contributorId":201075,"corporation":false,"usgs":false,"family":"Eeling","given":"J.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724258,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kirk, B. D.","contributorId":201076,"corporation":false,"usgs":false,"family":"Kirk","given":"B.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":724259,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McCombs, A. L.","contributorId":172523,"corporation":false,"usgs":false,"family":"McCombs","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724260,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rabinowitz, A. B.","contributorId":201077,"corporation":false,"usgs":false,"family":"Rabinowitz","given":"A.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":724261,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thompson, K. M.","contributorId":201078,"corporation":false,"usgs":false,"family":"Thompson","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724262,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hudson, Z. J.","contributorId":201079,"corporation":false,"usgs":false,"family":"Hudson","given":"Z.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724263,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":724264,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70194096,"text":"70194096 - 2017 - New zircon (U-Th)/He and U/Pb eruption age for the Rockland tephra, western USA","interactions":[],"lastModifiedDate":"2017-11-17T10:33:47","indexId":"70194096","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"New zircon (U-Th)/He and U/Pb eruption age for the Rockland tephra, western USA","docAbstract":"<p><span>Eruption ages of a number of prominent Quaternary volcanic deposits remain inaccurately and/or imprecisely constrained, despite their importance as regional stratigraphic markers in paleo-environment reconstruction and as evidence of climate-altering eruptions. Accurately dating volcanic deposits presents challenging analytical considerations, including poor radiogenic yield, scarcity of datable minerals, and contamination of crystal populations by magma, eruption, and transport processes. One prominent example is the Rockland tephra, which erupted from the Lassen Volcanic Center in the southern Cascade arc. Despite a range in published eruption ages from 0.40 to 0.63 Ma, the Rockland tephra is extensively used as a marker bed across the western United States. To more accurately and precisely constrain the age of the Rockland tephra-producing eruption, we report U/Pb crystallization dates from the outermost ∼2&nbsp;μm of zircon crystal faces (surfaces) using secondary ion mass spectrometry (SIMS). Our new weighted mean&nbsp;</span><sup>238</sup><span>U/</span><sup>206</sup><span>Pb age for Rockland tephra zircon surfaces is 0.598&nbsp;±&nbsp;0.013 Ma (2σ) and MSWD&nbsp;=&nbsp;1.11 (mean square weighted deviation). As an independent test of the accuracy of this age, we obtained new (U-Th)/He dates from individual zircon grains from the Rockland tephra, which yielded a weighted mean age of 0.599&nbsp;±&nbsp;0.012 Ma (2σ, MSWD&nbsp;=&nbsp;5.13). We also obtained a (U-Th)/He age of 0.628&nbsp;±&nbsp;0.014 Ma (MSWD&nbsp;=&nbsp;1.19) for the Lava Creek Tuff member B, which was analyzed as a secondary standard to test the accuracy of the (U-Th)/He technique for Quaternary tephras, and to evaluate assumptions made in the model-age calculation. Concordance of new U/Pb and (U-Th)/He zircon ages reinforces the accuracy of our preferred Rockland tephra eruption age, and confirms that zircon surface dates sample zircon growth up to the time of eruption. We demonstrate the broad applicability of coupled U/Pb zircon-surface and single-grain zircon (U-Th)/He geochronology to accurate dating of Quaternary tephra, and highlight the challenges and opportunities of this technique.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.08.004","usgsCitation":"Coble, M.A., Burgess, S.D., and Klemetti, E.W., 2017, New zircon (U-Th)/He and U/Pb eruption age for the Rockland tephra, western USA: Quaternary Science Reviews, v. 172, p. 109-117, https://doi.org/10.1016/j.quascirev.2017.08.004.","productDescription":"9 p.","startPage":"109","endPage":"117","ipdsId":"IP-079677","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469567,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2017.08.004","text":"Publisher Index Page"},{"id":349050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"172","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb4","contributors":{"authors":[{"text":"Coble, Matthew A.","contributorId":200372,"corporation":false,"usgs":false,"family":"Coble","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgess, Seth D. 0000-0002-4238-3797 sburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-4238-3797","contributorId":200371,"corporation":false,"usgs":true,"family":"Burgess","given":"Seth","email":"sburgess@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":722101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klemetti, Erik W.","contributorId":139092,"corporation":false,"usgs":false,"family":"Klemetti","given":"Erik","email":"","middleInitial":"W.","affiliations":[{"id":12650,"text":"Denison University","active":true,"usgs":false}],"preferred":false,"id":722103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195951,"text":"70195951 - 2017 - Evolution of strain localization in variable-width three-dimensional unsaturated laboratory-scale cut slopes","interactions":[],"lastModifiedDate":"2018-03-09T09:44:27","indexId":"70195951","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2252,"text":"Journal of Engineering Mechanics","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of strain localization in variable-width three-dimensional unsaturated laboratory-scale cut slopes","docAbstract":"<p><span>To experimentally validate a recently developed theory for predicting the stability of cut slopes under unsaturated conditions, the authors measured increasing strain localization in unsaturated slope cuts prior to abrupt failure. Cut slope width and moisture content were controlled and varied in a laboratory, and a sliding door that extended the height of the free face of the slope was lowered until the cut slope failed. A particle image velocimetry tool was used to quantify soil displacement in the&nbsp;</span><span class=\"equationTd\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mi>x</mi><mtext>-</mtext><mi>y</mi></mrow></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mi\">x</span><span id=\"MathJax-Span-5\" class=\"mtext\">-</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">y</span></span></span><span><span>&nbsp;</span>(horizontal) and<span>&nbsp;</span></span><span class=\"equationTd\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mi>x</mi><mtext>-</mtext><mi>z</mi></mrow></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mrow\"><span id=\"MathJax-Span-10\" class=\"mi\">x</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">-z</span></span></span><span><span>&nbsp;</span>(vertical) planes, and strain was calculated from the displacement. Areas of maximum strain localization prior to failure were shown to coincide with the location of the eventual failure plane. Experimental failure heights agreed with the recently developed stability theory for unsaturated cut slopes (within 14.3% relative error) for a range of saturation and cut slope widths. A theoretical threshold for sidewall influence on cut slope failures was also proposed to quantify the relationship between normalized sidewall width and critical height. The proposed relationship was consistent with the cut slope experiment results, and is intended for consideration in future geotechnical experiment design. The experimental data of evolution of strain localization presented herein provide a physical basis from which future numerical models of strain localization can be validated.</span></p>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)EM.1943-7889.0001286","usgsCitation":"Morse, M.S., Lu, N., Wayllace, A., and Godt, J.W., 2017, Evolution of strain localization in variable-width three-dimensional unsaturated laboratory-scale cut slopes: Journal of Engineering Mechanics, v. 143, no. 9, https://doi.org/10.1061/(ASCE)EM.1943-7889.0001286.","ipdsId":"IP-086057","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":352353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d0","contributors":{"authors":[{"text":"Morse, Michael S.","contributorId":66987,"corporation":false,"usgs":true,"family":"Morse","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":730670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":730671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wayllace, Alexandra","contributorId":203213,"corporation":false,"usgs":false,"family":"Wayllace","given":"Alexandra","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":730672,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":730669,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193099,"text":"70193099 - 2017 - Coastal eolian sand-ramp development related to paleo-sea-level changes during the Latest Pleistocene and Holocene (21–0 ka) in San Miguel Island, California, U.S.A.","interactions":[],"lastModifiedDate":"2017-11-06T12:37:47","indexId":"70193099","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Coastal eolian sand-ramp development related to paleo-sea-level changes during the Latest Pleistocene and Holocene (21–0 ka) in San Miguel Island, California, U.S.A.","docAbstract":"<p><span>Coastal eolian sand ramps (5–130 m elevation) on the northern slope (windward) side of the small San Miguel Island (13 km in W-E length) range in age from late Pleistocene to modern time, though a major hiatus in sand-ramp growth occurred during the early Holocene marine transgression (16–9 ka). The Holocene sand ramps (1–5 m measured thicknesses) currently lack large dune forms, thereby representing deflated erosional remnants, locally covering thicker late Pleistocene sand-ramp deposits. The ramp sand was initially supplied from the adjacent island-shelf platform, extending about 20 km north of the present coastline. The sand-ramp deposits and interbedded loess soils were&nbsp;</span><sup>14</sup><span>C dated using 112 samples from 32 archaeological sites and other geologic sections. Latest Pleistocene sand ramps (66–18 ka) were derived from across-shelf eolian sand transport during marine low stands. Shoreward wave transport supplied remobilized late Pleistocene sand from the inner shelf to Holocene beaches, where dominant NW winds supplied sand to the sand ramps. The onset dates of the sand-ramp deposition in San Miguel are 7.2 ± 1.5 ka (sample<span>&nbsp;</span></span><i>n</i><span><span>&nbsp;</span>= 14). The internal strata dates in the vertically accreting sand ramps are 3.4 ± 1.7 ka (</span><i>n</i><span><span>&nbsp;</span>= 34). The sand ramps in San Miguel show wide-scale termination of sand supply in the latest Holocene time. The sand-ramp top dates or burial dates are 1.7 ± 0.9 ka (</span><i>n</i><span><span>&nbsp;</span>= 28). The latest Holocene sand ramps are truncated along most of the island's northern coastline, indicating recent losses of nearshore sand reserves to onshore, alongshore, and, possibly, offshore sand sinks. The truncated sand ramps in San Miguel Island and in other sand-depleted marine coastlines provide warnings about future beach erosion and/or shoreline retreat from accelerated sea-level rise accompanying predicted global warming.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-16-00148.1","usgsCitation":"Peterson, C.D., Erlandson, J.M., Stock, E., Hostetler, S.W., and Price, D.M., 2017, Coastal eolian sand-ramp development related to paleo-sea-level changes during the Latest Pleistocene and Holocene (21–0 ka) in San Miguel Island, California, U.S.A.: Journal of Coastal Research, v. 33, no. 5, p. 1022-1037, https://doi.org/10.2112/JCOASTRES-D-16-00148.1.","productDescription":"16 p.","startPage":"1022","endPage":"1037","ipdsId":"IP-081755","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":348269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Miguel Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.4676628112793,\n              34.009269564176414\n            ],\n            [\n              -120.29050827026366,\n              34.009269564176414\n            ],\n            [\n              -120.29050827026366,\n              34.08024666743329\n            ],\n            [\n              -120.4676628112793,\n              34.08024666743329\n            ],\n            [\n              -120.4676628112793,\n              34.009269564176414\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e88ae4b09af898c8cb7f","contributors":{"authors":[{"text":"Peterson, Curt D.","contributorId":199036,"corporation":false,"usgs":false,"family":"Peterson","given":"Curt","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":717981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erlandson, Jon M.","contributorId":68114,"corporation":false,"usgs":false,"family":"Erlandson","given":"Jon","email":"","middleInitial":"M.","affiliations":[{"id":7025,"text":"Museum of Natural and Cultural History, University of Oregon","active":true,"usgs":false}],"preferred":false,"id":717982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Errol","contributorId":199037,"corporation":false,"usgs":false,"family":"Stock","given":"Errol","email":"","affiliations":[],"preferred":false,"id":717983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":717980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Price, David M.","contributorId":199038,"corporation":false,"usgs":false,"family":"Price","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717984,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196118,"text":"70196118 - 2017 - Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana","interactions":[],"lastModifiedDate":"2018-03-21T09:51:57","indexId":"70196118","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5656,"text":"Irrigation & Drainage Systems Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana","docAbstract":"<p><span>According to the 2005 U.S. Geological Survey national water use compilation, irrigation is the second largest use of fresh water in the United States, accounting for 37%, or 484.48 million cubic meters per day, of total freshwater withdrawal. Accurately estimating the amount of water withdrawals and actual consumptive water use (the difference between water withdrawals and return flow) for irrigation at a regional scale is difficult. Remote sensing methods make it possible to compare actual ET (ETa) rates which can serve as a proxy for consumptive water use from different irrigation regimes at a regional scale in a systematic manner. This study investigates crucial components of water use from irrigation such as the difference of ETa rates from flood- and sprinkler-irrigated fields, spatial variability of ETa within a watershed, and the effect of sprinkler irrigation on the water budget of the study area. The mean accumulated ETa depth for the 1,051 square kilometer study area within the upper Smith River watershed was about 467 mm 30-meter per pixel for the 2007 growing season (April through mid-October). The total accumulated volume of ETa for the study area was about 474.705 million cubic meters. The mean accumulated ETa depth from sprinkler-irrigated land was about 687 mm and from flood-irrigated land was about 621 mm from flood-irrigated land. On average, the ETa rate from sprinkler-irrigated fields was 0.25 mm per day higher than flood-irrigated fields over the growing season. Spatial analysis showed that ETa rates within individual fields of a single crop type that are irrigated with a single method (sprinkler or flood) can vary up to about 8 mm per day. It was estimated that the amount of sprinkler irrigation in 2007 accounted for approximately 3% of the total volume of ETa in the study area. When compared to non-irrigated dryland, sprinkler irrigation increases ETa by about 59 to 82% per unit area.</span></p>","language":"English","publisher":"OMICS International","doi":"10.4172/2168-9768.1000188","usgsCitation":"Sando, R., Caldwell, R.R., and Blasch, K.W., 2017, Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana: Irrigation & Drainage Systems Engineering, v. 6, no. 2, p. 1-10, https://doi.org/10.4172/2168-9768.1000188.","productDescription":"Article  1000188; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-064076","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":469560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4172/2168-9768.1000188","text":"Publisher Index Page"},{"id":352681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Smith River Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.456298828125,\n              46.25\n            ],\n            [\n              -110.54443359375,\n              46.25\n            ],\n            [\n              -110.54443359375,\n              46.82731489926434\n            ],\n            [\n              -111.456298828125,\n              46.82731489926434\n            ],\n            [\n              -111.456298828125,\n              46.25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3cc","contributors":{"authors":[{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":731435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":731437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blasch, Kyle W. 0000-0002-0590-0724 kblasch@usgs.gov","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":1631,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"kblasch@usgs.gov","middleInitial":"W.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":731436,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196222,"text":"70196222 - 2017 - Volcano Geodesy: Recent developments and future challenges","interactions":[],"lastModifiedDate":"2018-03-27T13:13:31","indexId":"70196222","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Volcano Geodesy: Recent developments and future challenges","docAbstract":"<p><span>Ascent of magma through Earth's crust is normally associated with, among other effects, ground deformation and gravity changes. Geodesy is thus a valuable tool for monitoring and hazards assessment during volcanic unrest, and it provides valuable data for exploring the geometry and volume of magma plumbing systems. Recent decades have seen an explosion in the quality and quantity of volcano geodetic data. New datasets (some made possible by regional and global scientific initiatives), as well as new analysis methods and modeling practices, have resulted in important changes to our understanding of the geodetic characteristics of active volcanism and magmatic processes, from the scale of individual eruptive vents to global compilations of volcano deformation. Here, we describe some of the recent developments in volcano geodesy, both in terms of data and interpretive tools, and discuss the role of international initiatives in meeting future challenges for the field.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.08.006","usgsCitation":"Fernandez, J.F., Pepe, A., Poland, M.P., and Sigmundsson, F., 2017, Volcano Geodesy: Recent developments and future challenges: Journal of Volcanology and Geothermal Research, v. 344, p. 1-12, https://doi.org/10.1016/j.jvolgeores.2017.08.006.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-088542","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":352788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"344","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3ca","contributors":{"authors":[{"text":"Fernandez, Jose F.","contributorId":189977,"corporation":false,"usgs":false,"family":"Fernandez","given":"Jose","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":731739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pepe, Antonio","contributorId":203540,"corporation":false,"usgs":false,"family":"Pepe","given":"Antonio","email":"","affiliations":[{"id":36648,"text":"IREA-CNR","active":true,"usgs":false}],"preferred":false,"id":731740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":731738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sigmundsson, Freysteinn","contributorId":203541,"corporation":false,"usgs":false,"family":"Sigmundsson","given":"Freysteinn","email":"","affiliations":[{"id":36649,"text":"University of Iceland","active":true,"usgs":false}],"preferred":false,"id":731741,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193544,"text":"70193544 - 2017 - Screening of duplicated loci reveals hidden divergence patterns in a complex salmonid genome","interactions":[],"lastModifiedDate":"2017-11-14T13:12:14","indexId":"70193544","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Screening of duplicated loci reveals hidden divergence patterns in a complex salmonid genome","docAbstract":"<p><span>A whole-genome duplication (WGD) doubles the entire genomic content of a species and is thought to have catalysed adaptive radiation in some polyploid-origin lineages. However, little is known about general consequences of a WGD because gene duplicates (i.e., paralogs) are commonly filtered in genomic studies; such filtering may remove substantial portions of the genome in data sets from polyploid-origin species. We demonstrate a new method that enables genome-wide scans for signatures of selection at both nonduplicated and duplicated loci by taking locus-specific copy number into account. We apply this method to RAD sequence data from different ecotypes of a polyploid-origin salmonid (</span><i>Oncorhynchus nerka</i><span>) and reveal signatures of divergent selection that would have been missed if duplicated loci were filtered. We also find conserved signatures of elevated divergence at pairs of homeologous chromosomes with residual tetrasomic inheritance, suggesting that joint evolution of some nondiverged gene duplicates may affect the adaptive potential of these genes. These findings illustrate that including duplicated loci in genomic analyses enables novel insights into the evolutionary consequences of WGDs and local segmental gene duplications.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.14201","usgsCitation":"Limborg, M.T., Larson, W., Seeb, L.W., and Seeb, J.E., 2017, Screening of duplicated loci reveals hidden divergence patterns in a complex salmonid genome: Molecular Ecology, v. 26, no. 17, p. 4509-4522, https://doi.org/10.1111/mec.14201.","productDescription":"14 p.","startPage":"4509","endPage":"4522","ipdsId":"IP-083394","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -170.33203125,\n              40\n            ],\n            [\n              -107.841796875,\n              40\n            ],\n            [\n              -107.841796875,\n              71.44117085172385\n            ],\n            [\n              -170.33203125,\n              71.44117085172385\n            ],\n            [\n              -170.33203125,\n              40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"17","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-05","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fbf","contributors":{"authors":[{"text":"Limborg, Morten T.","contributorId":199510,"corporation":false,"usgs":false,"family":"Limborg","given":"Morten","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":719317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seeb, Lisa W.","contributorId":66008,"corporation":false,"usgs":false,"family":"Seeb","given":"Lisa","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":719318,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seeb, James E.","contributorId":87003,"corporation":false,"usgs":true,"family":"Seeb","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719319,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195153,"text":"70195153 - 2017 - Soil microbial community composition is correlated to soil carbon processing along a boreal wetland formation gradient","interactions":[],"lastModifiedDate":"2018-02-07T15:33:10","indexId":"70195153","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5619,"text":"European Journal of Soil Biology","active":true,"publicationSubtype":{"id":10}},"title":"Soil microbial community composition is correlated to soil carbon processing along a boreal wetland formation gradient","docAbstract":"<p>Climate change is modifying global biogeochemical cycles. Microbial communities play an integral role in soil biogeochemical cycles; knowledge about microbial composition helps provide a mechanistic understanding of these ecosystem-level phenomena. Next generation sequencing approaches were used to investigate changes in microbial functional groups during ecosystem development, in response to climate change, in northern boreal wetlands. A gradient of wetlands that developed following permafrost degradation was used to characterize changes in the soil microbial communities that mediate C cycling: a bog representing an “undisturbed” system with intact permafrost, and a younger bog and an older bog that formed following the disturbance of permafrost thaw. Reference 16S rRNA databases and several diversity indices were used to assess structural differences among these communities, to assess relationships between soil microbial community composition and various environmental variables including redox potential and pH. Rates of potential CO2 and CH4 gas production were quantified to correlate sequence data with gas flux. The abundance of organic C degraders was highest in the youngest bog, suggesting higher rates of microbial processes, including potential CH4 production. In addition, alpha diversity was also highest in the youngest bog, which seemed to be related to a more neutral pH and a lower redox potential. These results could potentially be driven by increased niche differentiation in anaerobic soils. These results suggest that ecosystem structure, which was largely driven by changes in edaphic and plant community characteristics between the “undisturbed” permafrost bog and the two bogs formed following permafrost thaw, strongly influenced microbial function.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejsobi.2017.08.001","usgsCitation":"Chapman, E., Cadillo-Quiroz, H., Childers, D.L., Turetsky, M.R., and Waldrop, M.P., 2017, Soil microbial community composition is correlated to soil carbon processing along a boreal wetland formation gradient: European Journal of Soil Biology, v. 82, p. 17-26, https://doi.org/10.1016/j.ejsobi.2017.08.001.","productDescription":"10 p.","startPage":"17","endPage":"26","ipdsId":"IP-075502","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469549,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejsobi.2017.08.001","text":"Publisher Index Page"},{"id":351296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e7be4b00f54eb229345","contributors":{"authors":[{"text":"Chapman, Eric","contributorId":201935,"corporation":false,"usgs":false,"family":"Chapman","given":"Eric","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cadillo-Quiroz, Hinsby","contributorId":201936,"corporation":false,"usgs":false,"family":"Cadillo-Quiroz","given":"Hinsby","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childers, Daniel L.","contributorId":201937,"corporation":false,"usgs":false,"family":"Childers","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":727224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727220,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193074,"text":"70193074 - 2017 - Persistent slip rate discrepancies in the eastern California (USA) shear zone: Reply","interactions":[],"lastModifiedDate":"2017-10-30T15:35:05","indexId":"70193074","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Persistent slip rate discrepancies in the eastern California (USA) shear zone: Reply","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G39439Y.1","usgsCitation":"Evans, E., 2017, Persistent slip rate discrepancies in the eastern California (USA) shear zone: Reply: Geology, v. 45, no. 9, e426; 1 p., https://doi.org/10.1130/G39439Y.1.","productDescription":"e426; 1 p.","ipdsId":"IP-088129","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g39439y.1","text":"Publisher Index Page"},{"id":347737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-01","publicationStatus":"PW","scienceBaseUri":"59f83a33e4b063d5d30980c5","contributors":{"authors":[{"text":"Evans, Eileen 0000-0002-7290-5269 eevans@usgs.gov","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":167021,"corporation":false,"usgs":true,"family":"Evans","given":"Eileen","email":"eevans@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717838,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194219,"text":"70194219 - 2017 - The planetary data system","interactions":[],"lastModifiedDate":"2018-01-19T16:20:21","indexId":"70194219","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5586,"text":"Lunar and Planetary Information Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The planetary data system","docAbstract":"<p>In the early 1980s, the Space Science Board (SSB) of the National Research Council was concerned about the poor and inconsistent treatment of scientific information returned from NASA’s space science missions. The SSB formed a panel [The Committee on Data Management and Computation (CODMAC)] to assess the situation and make recommendations to NASA for improvements. The CODMAC panel issued a report [1,2] that led to a number of actions, one of which was the convening of a Planetary Data Workshop in November 1983 [3]. The key findings of that workshop were that (1) important datasets were being irretrievably lost, and (2) the use of planetary data by the wider community is constrained by inaccessibility and a lack of commonality in format and documentation. The report further stated, “Most participants felt the present system (of data archiving and access) is inadequate and immediate changes are necessary to insure retention of and access to these and future datasets.”</p>","language":"English","publisher":"Lunar and Planetary Institute","usgsCitation":"Acton, C., Slavney, S., Arvidson, R.E., Gaddis, L.R., Gordon, M., and Lavoie, S., 2017, The planetary data system: Lunar and Planetary Information Bulletin, no. 150, p. 2-11.","productDescription":"10 p.","startPage":"2","endPage":"11","ipdsId":"IP-092524","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":350070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349087,"type":{"id":15,"text":"Index Page"},"url":"https://www.lpi.usra.edu/publications/newsletters/lpib/lpib150.pdf"}],"issue":"150","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5be4b06e28e9c22fa8","contributors":{"authors":[{"text":"Acton, Charles","contributorId":200589,"corporation":false,"usgs":false,"family":"Acton","given":"Charles","affiliations":[],"preferred":false,"id":722743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slavney, Susan","contributorId":200590,"corporation":false,"usgs":false,"family":"Slavney","given":"Susan","email":"","affiliations":[],"preferred":false,"id":722744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":722742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordon, Mitchell","contributorId":200591,"corporation":false,"usgs":false,"family":"Gordon","given":"Mitchell","affiliations":[],"preferred":false,"id":722746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lavoie, Susan","contributorId":200592,"corporation":false,"usgs":false,"family":"Lavoie","given":"Susan","email":"","affiliations":[],"preferred":false,"id":722747,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193047,"text":"70193047 - 2017 - Evaluation of simple geochemical indicators of aeolian sand provenance: Late Quaternary dune fields of North America revisited","interactions":[],"lastModifiedDate":"2017-11-10T19:13:50","indexId":"70193047","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of simple geochemical indicators of aeolian sand provenance: Late Quaternary dune fields of North America revisited","docAbstract":"<p><span>Dune fields of Quaternary age occupy large areas of the world's arid and semiarid regions. Despite this, there has been surprisingly little work done on understanding dune sediment provenance, in part because many techniques are time-consuming, prone to operator error, experimental, highly specialized, expensive, or require sophisticated instrumentation. Provenance of dune sand using K/Rb and K/Ba values in K-feldspar in aeolian sands of the arid and semiarid regions of North America is tested here. Results indicate that K/Rb and K/Ba can distinguish different river sands that are sediment sources for dunes and dune fields themselves have distinctive K/Rb and K/Ba compositions. Over the Basin and Range and Great Plains regions of North America, the hypothesized sediment sources of dune fields are reviewed and assessed using K/Rb and K/Ba values in dune sands and in hypothesized source sediments. In some cases, the origins of dunes assessed in this manner are consistent with previous studies and in others, dune fields are found to have a more complex origin than previously thought. Use of K/Rb and K/Ba for provenance studies is a robust method that is inexpensive, rapid, and highly reproducible. It exploits one of the most common minerals found in dune sand, K-feldspar. The method avoids the problem of using simple concentrations of key elements that may be subject to interpretative bias due to changes in mineralogical maturity of Quaternary dune fields that occur over time.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.07.007","usgsCitation":"Muhs, D., 2017, Evaluation of simple geochemical indicators of aeolian sand provenance: Late Quaternary dune fields of North America revisited: Quaternary Science Reviews, v. 171, p. 260-296, https://doi.org/10.1016/j.quascirev.2017.07.007.","productDescription":"37 p.","startPage":"260","endPage":"296","ipdsId":"IP-076149","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":348603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"171","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c8e4b09af898c860f7","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":717750,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194205,"text":"70194205 - 2017 - Incorporating evolutionary insights to improve ecotoxicology for freshwater species","interactions":[],"lastModifiedDate":"2017-11-17T11:46:31","indexId":"70194205","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating evolutionary insights to improve ecotoxicology for freshwater species","docAbstract":"<p><span>Ecotoxicological studies have provided extensive insights into the lethal and sublethal effects of environmental contaminants. These insights are critical for environmental regulatory frameworks, which rely on knowledge of toxicity for developing policies to manage contaminants. While varied approaches have been applied to ecotoxicological questions, perspectives related to the evolutionary history of focal species or populations have received little consideration. Here, we evaluate chloride toxicity from the perspectives of both macroevolution and contemporary evolution. First, by mapping chloride toxicity values derived from the literature onto a phylogeny of macroinvertebrates, fish, and amphibians, we tested whether macroevolutionary relationships across species and taxa are predictive of chloride tolerance. Next, we conducted chloride exposure tests for two amphibian species to assess whether potential contemporary evolutionary change associated with environmental chloride contamination influences chloride tolerance across local populations. We show that explicitly evaluating both macroevolution and contemporary evolution can provide important and even qualitatively different insights from those obtained via traditional ecotoxicological studies. While macroevolutionary perspectives can help forecast toxicological end points for species with untested sensitivities, contemporary evolutionary perspectives demonstrate the need to consider the environmental context of exposed populations when measuring toxicity. Accounting for divergence among populations of interest can provide more accurate and relevant information related to the sensitivity of populations that may be evolving in response to selection from contaminant exposure. Our data show that approaches accounting for and specifically examining variation among natural populations should become standard practice in ecotoxicology.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eva.12507","usgsCitation":"Brady, S., Richardson, J.L., and Kunz, B.K., 2017, Incorporating evolutionary insights to improve ecotoxicology for freshwater species: Evolutionary Applications, v. 10, no. 8, p. 829-838, https://doi.org/10.1111/eva.12507.","productDescription":"10 p.","startPage":"829","endPage":"838","ipdsId":"IP-083753","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":469550,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12507","text":"Publisher Index Page"},{"id":349067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-10","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fab","contributors":{"authors":[{"text":"Brady, Steven P.","contributorId":200559,"corporation":false,"usgs":false,"family":"Brady","given":"Steven P.","affiliations":[],"preferred":false,"id":722656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, Jonathan L.","contributorId":200560,"corporation":false,"usgs":false,"family":"Richardson","given":"Jonathan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunz, Bethany K. 0000-0002-7193-9336 bkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-7193-9336","contributorId":3798,"corporation":false,"usgs":true,"family":"Kunz","given":"Bethany","email":"bkunz@usgs.gov","middleInitial":"K.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":722655,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194202,"text":"70194202 - 2017 - Visitor spending effects: assessing and showcasing America's investment in national parks","interactions":[],"lastModifiedDate":"2017-11-17T15:11:54","indexId":"70194202","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2472,"text":"Journal of Sustainable Tourism","active":true,"publicationSubtype":{"id":10}},"title":"Visitor spending effects: assessing and showcasing America's investment in national parks","docAbstract":"<p><span>This paper provides an overview of the evolution, future, and global applicability of the U.S. National Park Service's (NPS) visitor spending effects framework and discusses the methods used to effectively communicate the economic return on investment in America's national parks. The 417 parks represent many of America's most iconic destinations: in 2016, they received a record 331 million visits. Competing federal budgetary demands necessitate that, in addition to meeting their mission to preserve unimpaired natural and cultural resources for the enjoyment of the people, parks also assess and showcase their contributions to the economic vitality of their regions and the nation. Key approaches explained include the original Money Generation Model (MGM) from 1990, MGM2 used from 2001, and the visitor spending effects model which replaced MGM2 in 2012. Detailed discussion explains the NPS's visitor use statistics system, the formal program for collecting, compiling, and reporting visitor use data. The NPS is now establishing a formal socioeconomic monitoring (SEM) program to provide a standard visitor survey instrument and a long-term, systematic sampling design for in-park visitor surveys. The pilot SEM survey is discussed, along with the need for international standardization of research methods.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/09669582.2017.1374600","usgsCitation":"Koontz, L., Cullinane Thomas, C., Ziesler, P., Olson, J., and Meldrum, B., 2017, Visitor spending effects: assessing and showcasing America's investment in national parks: Journal of Sustainable Tourism, v. 25, no. 12, p. 1865-1876, https://doi.org/10.1080/09669582.2017.1374600.","productDescription":"12 p.","startPage":"1865","endPage":"1876","ipdsId":"IP-090089","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":349074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fae","contributors":{"authors":[{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":722641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":141097,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziesler, Pamela","contributorId":200550,"corporation":false,"usgs":false,"family":"Ziesler","given":"Pamela","email":"","affiliations":[],"preferred":false,"id":722642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olson, Jeffrey","contributorId":200551,"corporation":false,"usgs":false,"family":"Olson","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":722643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meldrum, Bret","contributorId":200552,"corporation":false,"usgs":false,"family":"Meldrum","given":"Bret","email":"","affiliations":[],"preferred":false,"id":722644,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195972,"text":"70195972 - 2017 - Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","interactions":[],"lastModifiedDate":"2018-03-09T16:23:33","indexId":"70195972","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 M<sub>w</sub> 7.8 Gorkha earthquake, Nepal","title":"Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","docAbstract":"<p><span>The 25 April 2015 M</span><sub>w</sub><span><span>&nbsp;</span>7.8 Gorkha earthquake produced strong ground motions across an approximately 250</span><span>&nbsp;</span><span>km by 100</span><span>&nbsp;</span><span>km swath in central Nepal. To assist disaster response activities, we modified an existing earthquake-triggered landslide model based on a Newmark sliding block analysis to estimate the extent and intensity of landsliding and landslide dam hazard. Landslide hazard maps were produced using Shuttle Radar Topography Mission (SRTM) digital topography, peak ground acceleration (PGA) information from the U.S. Geological Survey (USGS) ShakeMap program, and assumptions about the regional rock strength based on end-member values from previous studies. The instrumental record of seismicity in Nepal is poor, so PGA estimates were based on empirical Ground Motion Prediction Equations (GMPEs) constrained by teleseismic data and felt reports. We demonstrate a non-linear dependence of modeled landsliding on aggregate rock strength, where the number of landslides decreases exponentially with increasing rock strength. Model estimates are less sensitive to PGA at steep slopes (&gt;</span><span>&nbsp;</span><span>60°) compared to moderate slopes (30–60°). We compare forward model results to an inventory of landslides triggered by the Gorkha earthquake. We show that moderate rock strength inputs over estimate landsliding in regions beyond the main slip patch, which may in part be related to poorly constrained PGA estimates for this event at far distances from the source area. Directly above the main slip patch, however, the moderate strength model accurately estimates the total number of landslides within the resolution of the model (landslides</span><span>&nbsp;</span><span>≥</span><span>&nbsp;</span><span>0.0162</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>; observed n</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>2214, modeled n</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>2987), but the pattern of landsliding differs from observations. This discrepancy is likely due to the unaccounted for effects of variable material strength and local topographic amplification of strong ground motion, as well as other simplifying assumptions about source characteristics and their relationship to landsliding.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2016.10.031","usgsCitation":"Gallen, S.F., Clark, M., Godt, J.W., Roback, K., and Niemi, N., 2017, Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal: Tectonophysics, v. 714-715, p. 173-187, https://doi.org/10.1016/j.tecto.2016.10.031.","productDescription":"15 p.","startPage":"173","endPage":"187","ipdsId":"IP-078904","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":469563,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2016.10.031","text":"Publisher Index Page"},{"id":352395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              84.53979492187499,\n              26.46073804319089\n            ],\n            [\n              86.98974609375,\n              26.46073804319089\n            ],\n            [\n              86.98974609375,\n              28.719496107557465\n            ],\n            [\n              84.53979492187499,\n              28.719496107557465\n            ],\n            [\n              84.53979492187499,\n              26.46073804319089\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"714-715","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3ce","contributors":{"authors":[{"text":"Gallen, Sean F.","contributorId":139683,"corporation":false,"usgs":false,"family":"Gallen","given":"Sean","email":"","middleInitial":"F.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":730748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roback, Kevin","contributorId":200288,"corporation":false,"usgs":false,"family":"Roback","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":730751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niemi, Nathan A","contributorId":203251,"corporation":false,"usgs":false,"family":"Niemi","given":"Nathan A","affiliations":[{"id":36590,"text":"Dept. of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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