{"pageNumber":"446","pageRowStart":"11125","pageSize":"25","recordCount":40794,"records":[{"id":70189662,"text":"70189662 - 2017 - The role of initial coherence and path materials in the dynamics of three rock avalanche case histories","interactions":[],"lastModifiedDate":"2017-07-19T14:46:25","indexId":"70189662","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5465,"text":"Geoenvironmental Disasters","active":true,"publicationSubtype":{"id":10}},"title":"The role of initial coherence and path materials in the dynamics of three rock avalanche case histories","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Background</strong></p><p id=\"Par1\" class=\"Para\">Rock avalanches are flow-like landslides that can travel at extremely rapid velocities and impact surprisingly large areas. The mechanisms that lead to the unexpected mobility of these flows are unknown and debated. Mechanisms proposed in the literature can be broadly classified into those that rely on intrinsic characteristics of the rock avalanche material, and those that rely on extrinsic factors such as path material. In this work a calibration-based numerical model is used to back-analyze three rock avalanche case histories.&nbsp;The results of these back-analyses are then used to infer factors that govern rock avalanche motion</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Results</strong></p><p id=\"Par2\" class=\"Para\">Our study has revealed two key insights that must be considered when analyzing rock avalanches. Results from two of the case histories demonstrate the importance of accounting for the initially coherent phase of rock avalanche motion. Additionally, the back-analyzed basal resistance parameters, as well as the best-fit rheology, are different for each case history.&nbsp;This suggests that the governing mechanisms controlling rock avalanche motion are unlikely to be intrinsic.&nbsp;The back-analyzed strength parameters correspond well to those that would be expected by considering the path material that the rock avalanches overran.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Conclusion</strong></p><p id=\"Par3\" class=\"Para\">Our results show that accurate simulation of rock avalanche motion must account for the initially coherent phase of movement, and that the mechanisms governing rock avalanche motion are unlikely to be intrinsic to the failed material. Interaction of rock avalanche debris with path materials is the likely mechanism that governs the motion of many rock avalanches.</p></div>","language":"English","publisher":"Springer","doi":"10.1186/s40677-017-0070-4","usgsCitation":"Aaron, J., McDougall, S., Moore, J.R., Coe, J.A., and Hungr, O., 2017, The role of initial coherence and path materials in the dynamics of three rock avalanche case histories: Geoenvironmental Disasters, v. 4, no. 5, 15 p., https://doi.org/10.1186/s40677-017-0070-4.","productDescription":"15 p.","ipdsId":"IP-083179","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":461759,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40677-017-0070-4","text":"Publisher Index Page"},{"id":344065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"5","noUsgsAuthors":false,"publicationDate":"2017-02-07","publicationStatus":"PW","scienceBaseUri":"59706fb6e4b0d1f9f065a887","contributors":{"authors":[{"text":"Aaron, Jordan","contributorId":194904,"corporation":false,"usgs":false,"family":"Aaron","given":"Jordan","email":"","affiliations":[],"preferred":false,"id":705675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDougall, Scott","contributorId":194908,"corporation":false,"usgs":false,"family":"McDougall","given":"Scott","email":"","affiliations":[],"preferred":false,"id":705676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Jeffrey R.","contributorId":194909,"corporation":false,"usgs":false,"family":"Moore","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":705677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hungr, Oldrich","contributorId":194910,"corporation":false,"usgs":false,"family":"Hungr","given":"Oldrich","email":"","affiliations":[],"preferred":false,"id":705679,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187625,"text":"70187625 - 2017 - Is “morphodynamic equilibrium” an oxymoron?","interactions":[],"lastModifiedDate":"2017-05-11T12:52:18","indexId":"70187625","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Is “morphodynamic equilibrium” an oxymoron?","docAbstract":"<p><span>Morphodynamic equilibrium is a widely adopted yet elusive concept in the field of geomorphology of coasts, rivers and estuaries. Based on the Exner equation, an expression of mass conservation of sediment, we distinguish three types of equilibrium defined as static and dynamic, of which two different types exist. Other expressions such as statistical and quasi-equilibrium which do not strictly satisfy the Exner conditions are also acknowledged for their practical use. The choice of a temporal scale is imperative to analyse the type of equilibrium. We discuss the difference between morphodynamic equilibrium in the “real world” (nature) and the “virtual world” (model). Modelling studies rely on simplifications of the real world and lead to understanding of process interactions. A variety of factors affect the use of virtual-world predictions in the real world (e.g., variability in environmental drivers and variability in the setting) so that the concept of morphodynamic equilibrium should be mathematically unequivocal in the virtual world and interpreted over the appropriate spatial and temporal scale in the real world. We draw examples from estuarine settings which are subject to various governing factors which broadly include hydrodynamics, sedimentology and landscape setting. Following the traditional “tide-wave-river” ternary diagram, we summarize studies to date that explore the “virtual world”, discuss the type of equilibrium reached and how it relates to the real world.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2016.12.002","usgsCitation":"Zhou, Z., Coco, G., Townend, I., Olabarrieta, M., van der Wegen, M., Gong, Z., D’Alpaos, A., Gao, S., Jaffe, B.E., Gelfenbaum, G.R., He, Q., Wang, Y., Lanzoni, S., Wang, Z., Winterwerp, H., and Zhang, C., 2017, Is “morphodynamic equilibrium” an oxymoron?: Earth-Science Reviews, v. 165, p. 257-267, https://doi.org/10.1016/j.earscirev.2016.12.002.","productDescription":"11 p.","startPage":"257","endPage":"267","ipdsId":"IP-080889","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470085,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1016/j.earscirev.2016.12.002>).","text":"External Repository"},{"id":341111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59154664e4b01a342e6912e1","contributors":{"authors":[{"text":"Zhou, Zeng","contributorId":191934,"corporation":false,"usgs":false,"family":"Zhou","given":"Zeng","email":"","affiliations":[],"preferred":false,"id":694808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coco, Giovanni","contributorId":84978,"corporation":false,"usgs":true,"family":"Coco","given":"Giovanni","affiliations":[],"preferred":false,"id":694809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Townend, Ian","contributorId":191936,"corporation":false,"usgs":false,"family":"Townend","given":"Ian","affiliations":[],"preferred":false,"id":694810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":81631,"corporation":false,"usgs":true,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":694811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van der Wegen, Mick","contributorId":76455,"corporation":false,"usgs":true,"family":"van der Wegen","given":"Mick","affiliations":[],"preferred":false,"id":694812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gong, Zheng","contributorId":191939,"corporation":false,"usgs":false,"family":"Gong","given":"Zheng","email":"","affiliations":[],"preferred":false,"id":694813,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"D’Alpaos, Andrea","contributorId":34247,"corporation":false,"usgs":true,"family":"D’Alpaos","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":694814,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gao, Shu","contributorId":191941,"corporation":false,"usgs":false,"family":"Gao","given":"Shu","email":"","affiliations":[],"preferred":false,"id":694815,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":694816,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":694807,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"He, Qing","contributorId":191942,"corporation":false,"usgs":false,"family":"He","given":"Qing","email":"","affiliations":[],"preferred":false,"id":694817,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wang, Yaping","contributorId":191943,"corporation":false,"usgs":false,"family":"Wang","given":"Yaping","email":"","affiliations":[],"preferred":false,"id":694818,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lanzoni, Stefano","contributorId":191944,"corporation":false,"usgs":false,"family":"Lanzoni","given":"Stefano","email":"","affiliations":[],"preferred":false,"id":694819,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wang, Zhengbing","contributorId":191945,"corporation":false,"usgs":false,"family":"Wang","given":"Zhengbing","email":"","affiliations":[],"preferred":false,"id":694820,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Winterwerp, Han","contributorId":191946,"corporation":false,"usgs":false,"family":"Winterwerp","given":"Han","email":"","affiliations":[],"preferred":false,"id":694821,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Zhang, Changkuan","contributorId":191947,"corporation":false,"usgs":false,"family":"Zhang","given":"Changkuan","email":"","affiliations":[],"preferred":false,"id":694822,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70187249,"text":"70187249 - 2017 - Hard choices in assessing survival past dams — a comparison of single- and paired-release strategies","interactions":[],"lastModifiedDate":"2017-04-28T13:12:55","indexId":"70187249","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Hard choices in assessing survival past dams — a comparison of single- and paired-release strategies","docAbstract":"<p><span>Mark–recapture models are widely used to estimate survival of salmon smolts migrating past dams. Paired releases have been used to improve estimate accuracy by removing components of mortality not attributable to the dam. This method is accompanied by reduced precision because (</span><i>i</i><span>) sample size is reduced relative to a single, large release; and (</span><i>ii</i><span>) variance calculations inflate error. We modeled an idealized system with a single dam to assess trade-offs between accuracy and precision and compared methods using root mean squared error (RMSE). Simulations were run under predefined conditions (dam mortality, background mortality, detection probability, and sample size) to determine scenarios when the paired release was preferable to a single release. We demonstrate that a paired-release design provides a theoretical advantage over a single-release design only at large sample sizes and high probabilities of detection. At release numbers typical of many survival studies, paired release can result in overestimation of dam survival. Failures to meet model assumptions of a paired release may result in further overestimation of dam-related survival. Under most conditions, a single-release strategy was preferable.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2015-0480","usgsCitation":"Zydlewski, J.D., Stich, D.S., and Sigourney, D.B., 2017, Hard choices in assessing survival past dams — a comparison of single- and paired-release strategies: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 2, p. 178-190, https://doi.org/10.1139/cjfas-2015-0480.","productDescription":"13 p.","startPage":"178","endPage":"190","ipdsId":"IP-060342","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":501116,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/73671","text":"External Repository"},{"id":340614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a2e4b022cee40dc226","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":693107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":693486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sigourney, Douglas B.","contributorId":103068,"corporation":false,"usgs":true,"family":"Sigourney","given":"Douglas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":693487,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192046,"text":"70192046 - 2017 - The invasive ant, Solenopsis invicta, reduces herpetofauna richness and abundance","interactions":[],"lastModifiedDate":"2017-10-24T16:27:53","indexId":"70192046","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The invasive ant, <i>Solenopsis invicta</i>, reduces herpetofauna richness and abundance","title":"The invasive ant, Solenopsis invicta, reduces herpetofauna richness and abundance","docAbstract":"<p><span>Amphibians and reptiles are declining globally. One potential cause of this decline includes impacts resulting from co-occurrence with non-native red imported fire ant,&nbsp;</span><i class=\"EmphasisTypeItalic \">Solenopsis invicta</i><span>. Although a growing body of anecdotal and observational evidence from laboratory experiments supports this hypothesis, there remains a lack of field scale manipulations testing the effect of fire ants on reptile and amphibian communities. We addressed this gap by measuring reptile and amphibian (“herpetofauna”) community response to successful fire ant reductions over the course of 2&nbsp;years following hydramethylnon application to five 100–200&nbsp;ha plots in southeastern coastal South Carolina. By assessing changes in relative abundance and species richness of herpetofauna in response to fire ant reductions, we were able to assess whether some species were particularly vulnerable to fire ant presence, and whether this sensitivity manifested at the community level. We found that herpetofauna abundance and species richness responded positively to fire ant reductions. Our results document that even moderate populations of red imported fire ants decrease both the abundance and diversity of herpetofauna. Given global herpetofauna population declines and continued spread of fire ants, there is urgency to understand the impacts of fire ants beyond anecdotal and singles species studies. Our results provides the first community level investigation addressing these dynamics, by manipulating fire ant abundance to reveal a response in herpetofauna species abundance and richness.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-016-1343-7","usgsCitation":"Allen, C.R., Birge, H.E., Slater, J., and Wiggers, E., 2017, The invasive ant, Solenopsis invicta, reduces herpetofauna richness and abundance: Biological Invasions, v. 19, no. 2, p. 713-722, https://doi.org/10.1007/s10530-016-1343-7.","productDescription":"10 p.","startPage":"713","endPage":"722","ipdsId":"IP-076507","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"59f05123e4b0220bbd9a1da1","contributors":{"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":714005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birge, Hannah E.","contributorId":166737,"corporation":false,"usgs":false,"family":"Birge","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slater, J.","contributorId":198243,"corporation":false,"usgs":false,"family":"Slater","given":"J.","email":"","affiliations":[],"preferred":false,"id":715461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiggers, E.","contributorId":198244,"corporation":false,"usgs":false,"family":"Wiggers","given":"E.","email":"","affiliations":[],"preferred":false,"id":715462,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189714,"text":"70189714 - 2017 - Development and utilization of USGS ShakeCast for rapid post-earthquake assessment of critical facilities and infrastructure","interactions":[],"lastModifiedDate":"2017-07-21T11:50:56","indexId":"70189714","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Development and utilization of USGS ShakeCast for rapid post-earthquake assessment of critical facilities and infrastructure","docAbstract":"<p><span>The ShakeCast system is an openly available, near real-time post-earthquake information management system. ShakeCast is widely used by public and private emergency planners and responders, lifeline utility operators and transportation engineers to automatically receive and process ShakeMap products for situational awareness, inspection priority, or damage assessment of their own infrastructure or building portfolios. The success of ShakeCast to date and its broad, critical-user base mandates improved software usability and functionality, including improved engineering-based damage and loss functions. In order to make the software more accessible to novice users—while still utilizing advanced users’ technical and engineering background—we have developed a “ShakeCast Workbook”, a well documented, Excel spreadsheet-based user interface that allows users to input notification and inventory data and export XML files requisite for operating the ShakeCast system. Users will be able to select structure based on a minimum set of user-specified facility (building location, size, height, use, construction age, etc.). “Expert” users will be able to import user-modified structural response properties into facility inventory associated with the HAZUS Advanced Engineering Building Modules (AEBM). The goal of the ShakeCast system is to provide simplified real-time potential impact and inspection metrics (i.e., green, yellow, orange and red priority ratings) to allow users to institute customized earthquake response protocols. Previously, fragilities were approximated using individual ShakeMap intensity measures (IMs, specifically PGA and 0.3 and 1s spectral accelerations) for each facility but we are now performing capacity-spectrum damage state calculations using a more robust characterization of spectral deamnd.We are also developing methods for the direct import of ShakeMap’s multi-period spectra in lieu of the assumed three-domain design spectrum (at 0.3s for constant acceleration; 1s or 3s for constant velocity and constant displacement at very long response periods). As part of ongoing ShakeCast research and development, we will also explore the use of ShakeMap IM uncertainty estimates and evaluate the assumption of employing multiple response spectral damping values rather than the single 5%-damped value currently employed. Developing and incorporating advanced fragility assignments into the ShakeCast Workbook requires related software modifications and database improvements; these enhancements are part of an extensive rewrite of the ShakeCast application.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 16th World Conference on Earthquake Engineering","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"16th World Conference on Earthquake Engineering","language":"English","publisher":"16th World Conference on Earthquake Engineering","usgsCitation":"Wald, D.J., Lin, K., Kircher, C.A., Jaiswal, K.S., Luco, N., Turner, L., and Slosky, D., 2017, Development and utilization of USGS ShakeCast for rapid post-earthquake assessment of critical facilities and infrastructure, <i>in</i> Proceedings of the 16th World Conference on Earthquake Engineering.","ipdsId":"IP-080219","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344163,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://usgs.github.io/shakecast/2017_16WCEE.html"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597312aae4b0ec1a488718d7","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Kuo-wan 0000-0002-7520-8151 klin@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-8151","contributorId":1539,"corporation":false,"usgs":true,"family":"Lin","given":"Kuo-wan","email":"klin@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kircher, C. A.","contributorId":194952,"corporation":false,"usgs":false,"family":"Kircher","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, L.","contributorId":194953,"corporation":false,"usgs":false,"family":"Turner","given":"L.","email":"","affiliations":[],"preferred":false,"id":705902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Slosky, Daniel 0000-0001-7407-3606 dslosky@usgs.gov","orcid":"https://orcid.org/0000-0001-7407-3606","contributorId":194954,"corporation":false,"usgs":true,"family":"Slosky","given":"Daniel","email":"dslosky@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705903,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70186420,"text":"70186420 - 2017 - Expanding the role of reactive transport models in critical zone processes","interactions":[],"lastModifiedDate":"2017-04-05T10:00:40","indexId":"70186420","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Expanding the role of reactive transport models in critical zone processes","docAbstract":"<p><span>Models test our understanding of processes and can reach beyond the spatial and temporal scales of measurements. Multi-component Reactive Transport Models (RTMs), initially developed more than three decades ago, have been used extensively to explore the interactions of geothermal, hydrologic, geochemical, and geobiological processes in subsurface systems. Driven by extensive data sets now available from intensive measurement efforts, there is a pressing need to couple RTMs with other community models to explore non-linear interactions among the atmosphere, hydrosphere, biosphere, and geosphere. Here we briefly review the history of RTM development, summarize the current state of RTM approaches, and identify new research directions, opportunities, and infrastructure needs to broaden the use of RTMs. In particular, we envision the expanded use of RTMs in advancing process understanding in the Critical Zone, the veneer of the Earth that extends from the top of vegetation to the bottom of groundwater. We argue that, although parsimonious models are essential at larger scales, process-based models offer tools to explore the highly nonlinear coupling that characterizes natural systems. We present seven testable hypotheses that emphasize the unique capabilities of process-based RTMs for (1) elucidating chemical weathering and its physical and biogeochemical drivers; (2) understanding the interactions among roots, micro-organisms, carbon, water, and minerals in the rhizosphere; (3) assessing the effects of heterogeneity across spatial and temporal scales; and (4) integrating the vast quantity of novel data, including “omics” data (genomics, transcriptomics, proteomics, metabolomics), elemental concentration and speciation data, and isotope data into our understanding of complex earth surface systems. With strong support from data-driven sciences, we are now in an exciting era where integration of RTM framework into other community models will facilitate process understanding across disciplines and across scales.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2016.09.001","usgsCitation":"Li, L., Maher, K., Navarre-Sitchler, A., Druhan, J., Meile, C., Lawrence, C., Moore, J., Perdrial, J., Sullivan, P., Thompson, A., Jin, L., Bolton, E.W., Brantley, S.L., Dietrich, W., Mayer, K.U., Steefel, C., Valocchi, A.J., Zachara, J.M., Kocar, B.D., McIntosh, J., Tutolo, B.M., Kumar, M., Sonnenthal, E., Bao, C., and Beisman, J., 2017, Expanding the role of reactive transport models in critical zone processes: Earth-Science Reviews, v. 165, p. 280-301, https://doi.org/10.1016/j.earscirev.2016.09.001.","productDescription":"22 p.","startPage":"280","endPage":"301","ipdsId":"IP-070272","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":461771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/81f302jz","text":"Publisher Index Page"},{"id":339191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e60272e4b09da6799ac681","contributors":{"authors":[{"text":"Li, Li","contributorId":190439,"corporation":false,"usgs":false,"family":"Li","given":"Li","affiliations":[],"preferred":false,"id":688432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maher, Kate","contributorId":190440,"corporation":false,"usgs":false,"family":"Maher","given":"Kate","email":"","affiliations":[],"preferred":false,"id":688433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Navarre-Sitchler, Alexis","contributorId":190441,"corporation":false,"usgs":false,"family":"Navarre-Sitchler","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":688434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Druhan, Jennifer","contributorId":190442,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","affiliations":[],"preferred":false,"id":688435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meile, Christof","contributorId":190443,"corporation":false,"usgs":false,"family":"Meile","given":"Christof","email":"","affiliations":[],"preferred":false,"id":688436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, Corey 0000-0002-2179-2436 clawrence@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-2436","contributorId":190438,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"clawrence@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":688431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Joel","contributorId":190444,"corporation":false,"usgs":false,"family":"Moore","given":"Joel","email":"","affiliations":[],"preferred":false,"id":688437,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perdrial, Julia","contributorId":190445,"corporation":false,"usgs":false,"family":"Perdrial","given":"Julia","affiliations":[],"preferred":false,"id":688438,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sullivan, Pamela","contributorId":190446,"corporation":false,"usgs":false,"family":"Sullivan","given":"Pamela","affiliations":[],"preferred":false,"id":688439,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thompson, Aaron","contributorId":190447,"corporation":false,"usgs":false,"family":"Thompson","given":"Aaron","affiliations":[],"preferred":false,"id":688440,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jin, Lixin","contributorId":190448,"corporation":false,"usgs":false,"family":"Jin","given":"Lixin","email":"","affiliations":[],"preferred":false,"id":688441,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bolton, Edward W.","contributorId":190449,"corporation":false,"usgs":false,"family":"Bolton","given":"Edward","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":688442,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Brantley, Susan L. 0000-0003-4320-2342","orcid":"https://orcid.org/0000-0003-4320-2342","contributorId":184201,"corporation":false,"usgs":false,"family":"Brantley","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":688443,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dietrich, William E.","contributorId":115128,"corporation":false,"usgs":true,"family":"Dietrich","given":"William E.","affiliations":[],"preferred":false,"id":688444,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mayer, K. Ulrich","contributorId":151069,"corporation":false,"usgs":false,"family":"Mayer","given":"K.","email":"","middleInitial":"Ulrich","affiliations":[{"id":18176,"text":"Department of Earth and Ocean Science, University of British Columbia, Vancouver, British Columbia, Canada","active":true,"usgs":false}],"preferred":false,"id":688445,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Steefel, Carl","contributorId":66932,"corporation":false,"usgs":false,"family":"Steefel","given":"Carl","email":"","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":688446,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Valocchi, Albert J.","contributorId":25062,"corporation":false,"usgs":true,"family":"Valocchi","given":"Albert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":688447,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zachara, John M.","contributorId":7421,"corporation":false,"usgs":true,"family":"Zachara","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":688448,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Kocar, Benjamin D.","contributorId":44460,"corporation":false,"usgs":true,"family":"Kocar","given":"Benjamin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":688449,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"McIntosh, Jennifer","contributorId":100059,"corporation":false,"usgs":true,"family":"McIntosh","given":"Jennifer","affiliations":[],"preferred":false,"id":688450,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Tutolo, Benjamin M.","contributorId":190458,"corporation":false,"usgs":false,"family":"Tutolo","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":688452,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Kumar, Mukesh","contributorId":190460,"corporation":false,"usgs":false,"family":"Kumar","given":"Mukesh","email":"","affiliations":[],"preferred":false,"id":688454,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Sonnenthal, Eric","contributorId":146807,"corporation":false,"usgs":false,"family":"Sonnenthal","given":"Eric","affiliations":[],"preferred":false,"id":688455,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Bao, Chen","contributorId":190457,"corporation":false,"usgs":false,"family":"Bao","given":"Chen","email":"","affiliations":[],"preferred":false,"id":688451,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Beisman, Joe","contributorId":190459,"corporation":false,"usgs":false,"family":"Beisman","given":"Joe","email":"","affiliations":[],"preferred":false,"id":688453,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}}
,{"id":70188352,"text":"70188352 - 2017 - Oxygen isotope geochemistry of mafic phenocrysts in primitive mafic lavas from the southernmost Cascade Range, California","interactions":[],"lastModifiedDate":"2018-03-16T11:29:21","indexId":"70188352","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Oxygen isotope geochemistry of mafic phenocrysts in primitive mafic lavas from the southernmost Cascade Range, California","docAbstract":"<p><span>Previously reported whole-rock δ</span><sup>18</sup><span>O values (5.6–7.8‰) for primitive quaternary mafic lavas from the southernmost Cascades (SMC) are often elevated (up to 1‰) relative to δ</span><sup>18</sup><span>O values expected for mafic magmas in equilibrium with mantle peridotite. Olivine, clinopyroxene, and plagioclase crystals were separated from 29 geochemically well-characterized mafic lavas for δ</span><sup>18</sup><span>O measurements by laser fluorination to assess modification of the mantle sources by ancient and modern subducted components. Oxygen isotope values of olivine phenocrysts in calc-alkaline lavas and contemporaneous high alumina olivine tholeiitic (HAOT) lavas generally exceed depleted mantle olivine values (~4.9–5.3‰). Modern addition of up to 6 wt% slab-derived fluid from Gorda serpentinized peridotite dehydration (~15‰) or chlorite dehydration (~10‰) within the serpentinized peridotite can provide the<span>&nbsp;</span></span><sup>18</sup><span>O enrichment detected in olivine phenocrysts (δ</span><sup>18</sup><span>O</span><sub>olivine</sub><span><span>&nbsp;</span>= 5.3–6.3‰) in calc-alkaline mafic lavas, and elevate<span>&nbsp;</span></span><sup>18</sup><span>O in overlying mantle lithosphere, as well. Specifically, although HAOT δ</span><sup>18</sup><span>O</span><sub>olivine</sub><span><span>&nbsp;</span>values (5.5–5.7‰) may reflect partial melting in heterogeneous<span>&nbsp;</span></span><sup>18</sup><span>O enriched mantle source domains that developed during multiple subduction events associated with terrane accretion (e.g., &lt;1 wt% of ~15‰ materials), an additional<span>&nbsp;</span></span><sup>18</sup><span>O enrichment of up to 2 wt% of 10–15‰ slab-derived hydrous fluids might be accommodated. The calc-alkaline primitive magmas appear to have experienced a continuous range of open system processes, which operate in the mantle and during rapid magma ascent to eruption, and occasionally post quench. Textural relationships and geochemistry of these lava samples are consistent with blends of mafic phenocrysts and degassed melts in varying states of<span>&nbsp;</span></span><sup>18</sup><span>O disequilibrium. In lenses of accumulated melt within peridotite near the base of the crust, coexisting olivine and clinopyroxene δ</span><sup>18</sup><span>O values probably are not at isotopic equilibrium because fluids introduced into the system perturbed the δ</span><sup>18</sup><span>O</span><sub>melt</sub><span><span>&nbsp;</span>values. A “sudden” melt extraction event interrupts<span>&nbsp;</span></span><sup>18</sup><span>O equilibration in phenocrysts and poorly mixed melt(s). Rapid ascent of volatile oversaturated primitive mafic magma through the crust appears to be accompanied by devolatilization and crystallization of anorthite-rich plagioclase with elevated δ</span><sup>18</sup><span>O</span><sub>plag</sub><span><span>&nbsp;</span>values. The (Sr/P)</span><sub>N</sub><span><span>&nbsp;</span>values for the whole rock geochemistry are consistent with a<span>&nbsp;</span></span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr ~0.7027 slab-derived fluid addition into the infertile peridotite source of magmas, and melt devolatilization is recorded in the mixture of disequilibrium δ</span><sup>18</sup><span>O values for the constituent phases of lavas. Morbidity of the Gorda Plate as it undergoes intense deformation from the spreading ridge to the trench is likely a key factor to developing the carrying capacity of hydrous fluids and mineral phases in the slab subducting into the SMC mantle.</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2017-5588","usgsCitation":"Underwood, S.J., and Clynne, M.A., 2017, Oxygen isotope geochemistry of mafic phenocrysts in primitive mafic lavas from the southernmost Cascade Range, California: American Mineralogist, v. 102, no. 2, p. 251-261, https://doi.org/10.2138/am-2017-5588.","productDescription":"11 p.","startPage":"251","endPage":"261","ipdsId":"IP-075965","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":352601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cascade Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.4920654296875,\n              39.9434364619742\n            ],\n            [\n              -120.794677734375,\n              39.9434364619742\n            ],\n            [\n              -120.794677734375,\n              40.990264773996884\n            ],\n            [\n              -122.4920654296875,\n              40.990264773996884\n            ],\n            [\n              -122.4920654296875,\n              39.9434364619742\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-01","publicationStatus":"PW","scienceBaseUri":"5afee8d3e4b0da30c1bfc4be","contributors":{"authors":[{"text":"Underwood, Sandra J.","contributorId":192684,"corporation":false,"usgs":false,"family":"Underwood","given":"Sandra","email":"","middleInitial":"J.","affiliations":[{"id":13628,"text":"Department of Earth Sciences, P.O. Box 173480, Montana State University, Bozeman, MT, USA. 59717.","active":true,"usgs":false}],"preferred":false,"id":697361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":697360,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189596,"text":"70189596 - 2017 - A discrete stage-structured model of California newt population dynamics during a period of drought","interactions":[],"lastModifiedDate":"2018-03-26T12:18:31","indexId":"70189596","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2475,"text":"Journal of Theoretical Biology","active":true,"publicationSubtype":{"id":10}},"title":"A discrete stage-structured model of California newt population dynamics during a period of drought","docAbstract":"<p><span>We introduce a mathematical model for studying the population dynamics under drought of the California newt (</span><i>Taricha torosa</i><span>), a species of special concern in the state of California. Since 2012, California has experienced a record-setting drought, and multiple studies predict drought conditions currently underway will persist and even increase in severity. Recent declines and local extinctions of California newt populations in Santa Monica Mountain streams motivate our study of the impact of drought on newt population sizes. Although newts are terrestrial salamanders, they migrate to streams each spring to breed and lay eggs. Since egg and larval stages occur in water, a precipitation deficit due to drought conditions reduces the space for newt egg-laying and the necessary habitat for larval development. To mathematically forecast newt population dynamics, we develop a nonlinear system of discrete equations that includes demographic parameters such as survival rates for newt life stages and egg production, which depend on habitat availability and rainfall. We estimate these demographic parameters using 15 years of stream survey data collected from Cold Creek in Los Angeles County, California, and our model captures the observed decline of the parameterized Cold Creek newt population. Based upon data analysis, we predict how the number of available newt egg-laying sites varies with annual precipitation. Our model allows us to make predictions about how the length and severity of drought can affect the likelihood of persistence and the time to critical endangerment of a local newt population. We predict that sustained severe drought will critically endanger the newt population but that the newt population can rebound if a drought is sufficiently short.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtbi.2016.11.011","usgsCitation":"Jones, M.T., Milligan, W.R., Kats, L.B., Vandergon, T.L., Honeycutt, R.L., Fisher, R.N., Davis, C.L., and Lucas, T.A., 2017, A discrete stage-structured model of California newt population dynamics during a period of drought: Journal of Theoretical Biology, v. 414, p. 245-253, https://doi.org/10.1016/j.jtbi.2016.11.011.","productDescription":"9 p.","startPage":"245","endPage":"253","ipdsId":"IP-081597","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":343986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"414","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596f1e25e4b0d1f9f064075b","contributors":{"authors":[{"text":"Jones, Marjorie T.","contributorId":194782,"corporation":false,"usgs":false,"family":"Jones","given":"Marjorie","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":705333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milligan, William R.","contributorId":194783,"corporation":false,"usgs":false,"family":"Milligan","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":705334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kats, Lee B.","contributorId":106034,"corporation":false,"usgs":true,"family":"Kats","given":"Lee","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":705335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergon, Thomas L.","contributorId":38489,"corporation":false,"usgs":true,"family":"Vandergon","given":"Thomas","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Honeycutt, Rodney L.","contributorId":106426,"corporation":false,"usgs":true,"family":"Honeycutt","given":"Rodney","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705337,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705338,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Courtney L.","contributorId":181922,"corporation":false,"usgs":false,"family":"Davis","given":"Courtney","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705339,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lucas, Timothy A.","contributorId":194784,"corporation":false,"usgs":false,"family":"Lucas","given":"Timothy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705340,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192944,"text":"70192944 - 2017 - Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier","interactions":[],"lastModifiedDate":"2017-10-30T15:00:45","indexId":"70192944","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier","docAbstract":"<p><span>Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008 to 2013. In this investigation, we sought to contribute to the availability of consistent CONUS crop cover maps by extending temporal coverage of the NASS CDL archive back eight additional years to 2000 by creating annual NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million records to train a classification tree algorithm and develop a crop classification model (CCM). The model was used to create crop cover maps for the CONUS for years 2000–2013 at 250&nbsp;m spatial resolution. The CCM and the maps for years 2008–2013 were assessed for accuracy relative to resampled NASS CDLs. The CCM performed well against a withheld test data set with a model prediction accuracy of over 90%. The assessment of the crop cover maps indicated that the model performed well spatially, placing crop cover pixels within their known domains; however, the model did show a bias towards the ‘Other’ crop cover class, which caused frequent misclassifications of pixels around the periphery of large crop cover patch clusters and of pixels that form small, sparsely dispersed crop cover patches.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/2150704X.2016.1271469","usgsCitation":"Friesz, A.M., Wylie, B., and Howard, D.M., 2017, Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier: Remote Sensing Letters, v. 8, no. 4, p. 389-398, https://doi.org/10.1080/2150704X.2016.1271469.","productDescription":"10 p.","startPage":"389","endPage":"398","ipdsId":"IP-075490","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":347729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"59f83a38e4b063d5d30980ef","contributors":{"authors":[{"text":"Friesz, Aaron M. 0000-0003-4096-3824 afriesz@usgs.gov","orcid":"https://orcid.org/0000-0003-4096-3824","contributorId":5943,"corporation":false,"usgs":true,"family":"Friesz","given":"Aaron","email":"afriesz@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":197161,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce K.","email":"wylie@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":717394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel M. 0000-0002-7563-7538 danny.howard.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":197063,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel","email":"danny.howard.ctr@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":717393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188345,"text":"70188345 - 2017 - Ground motion in the presence of complex Topography II: Earthquake sources and 3D simulations","interactions":[],"lastModifiedDate":"2017-06-06T16:13:07","indexId":"70188345","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Ground motion in the presence of complex Topography II: Earthquake sources and 3D simulations","docAbstract":"<p><span>Eight seismic stations were placed in a linear array with a topographic relief of 222&nbsp;m over Mission Peak in the east San Francisco Bay region for a period of one year to study topographic effects. Seventy‐two well‐recorded local earthquakes are used to calculate spectral amplitude ratios relative to a reference site. A well‐defined fundamental resonance peak is observed with individual station amplitudes following the theoretically predicted progression of larger amplitudes in the upslope direction. Favored directions of vibration are also seen that are related to the trapping of shear waves within the primary ridge dimensions. Spectral peaks above the fundamental one are also related to topographic effects but follow a more complex pattern. Theoretical predictions using a 3D velocity model and accurate topography reproduce many of the general frequency and time‐domain features of the data. Shifts in spectral frequencies and amplitude differences, however, are related to deficiencies of the model and point out the importance of contributing factors, including the shear‐wave velocity under the topographic feature, near‐surface velocity gradients, and source parameters.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160159","usgsCitation":"Hartzell, S.H., Ramirez-Guzman, L., Meremonte, M., and Leeds, A.L., 2017, Ground motion in the presence of complex Topography II: Earthquake sources and 3D simulations: Bulletin of the Seismological Society of America, v. 107, no. 1, p. 344-358, https://doi.org/10.1785/0120160159.","productDescription":"15 p.","startPage":"344","endPage":"358","ipdsId":"IP-078909","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.05,\n              37.85\n            ],\n            [\n              -121.65,\n              37.85\n            ],\n            [\n              -121.65,\n              37.3\n            ],\n            [\n              -122.05,\n              37.3\n            ],\n            [\n              -122.05,\n              37.85\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5937bf2de4b0f6c2d0d9c75e","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramirez-Guzman, Leonardo","contributorId":175444,"corporation":false,"usgs":false,"family":"Ramirez-Guzman","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":697337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meremonte, Mark","contributorId":192672,"corporation":false,"usgs":false,"family":"Meremonte","given":"Mark","email":"","affiliations":[],"preferred":false,"id":697338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leeds, Alena L. 0000-0002-8756-3687 aleeds@usgs.gov","orcid":"https://orcid.org/0000-0002-8756-3687","contributorId":4077,"corporation":false,"usgs":true,"family":"Leeds","given":"Alena","email":"aleeds@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697339,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192732,"text":"70192732 - 2017 - Terrestrial ecosystem model performance in simulating productivity and its vulnerability to climate change in the northern permafrost region","interactions":[],"lastModifiedDate":"2017-11-08T13:25:23","indexId":"70192732","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial ecosystem model performance in simulating productivity and its vulnerability to climate change in the northern permafrost region","docAbstract":"<p><span>Realistic projection of future climate-carbon (C) cycle feedbacks requires better understanding and an improved representation of the C cycle in permafrost regions in the current generation of Earth system models. Here we evaluated 10 terrestrial ecosystem models for their estimates of net primary productivity (NPP) and responses to historical climate change in permafrost regions in the Northern Hemisphere. In comparison with the satellite estimate from the Moderate Resolution Imaging Spectroradiometer (MODIS; 246 ± 6 g C m</span><sup>−2</sup><span> yr</span><sup>−1</sup><span>), most models produced higher NPP (309 ± 12 g C m</span><sup>−2</sup><span> yr</span><sup>−1</sup><span>) over the permafrost region during 2000–2009. By comparing the simulated gross primary productivity (GPP) with a flux tower-based database, we found that although mean GPP among the models was only overestimated by 10% over 1982–2009, there was a twofold discrepancy among models (380 to 800 g C m</span><sup>−2</sup><span> yr</span><sup>−1</sup><span>), which mainly resulted from differences in simulated maximum monthly GPP (GPP</span><sub>max</sub><span>). Most models overestimated C use efficiency (CUE) as compared to observations at both regional and site levels. Further analysis shows that model variability of GPP and CUE are nonlinearly correlated to variability in specific leaf area and the maximum rate of carboxylation by the enzyme Rubisco at 25°C (</span><i>V</i><sub><i>c</i>max_25</sub><span>), respectively. The models also varied in their sensitivities of NPP, GPP, and CUE to historical changes in climate and atmospheric CO</span><sub>2</sub><span><span>&nbsp;</span>concentration. These results indicate that model predictive ability of the C cycle in permafrost regions can be improved by better representation of the processes controlling CUE and GPP</span><sub>max</sub><span><span>&nbsp;</span>as well as their sensitivity to climate change.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016JG003384","usgsCitation":"Xia, J., McGuire, A.D., Lawrence, D., Burke, E.J., Chen, G., Chen, X., Delire, C., Koven, C., MacDougall, A., Peng, S., Rinke, A., Saito, K., Zhang, W., Alkama, R., Bohn, T.J., Ciais, P., Decharme, B., Gouttevin, I., Hajima, T., Hayes, D.J., Huang, K., Ji, D., Krinner, G., Lettenmaier, D.P., Miller, P.A., Moore, J., Smith, B., Sueyoshi, T., Shi, Z., Yan, L., Liang, J., Jiang, L., Zhang, Q., and Luo, Y., 2017, Terrestrial ecosystem model performance in simulating productivity and its vulnerability to climate change in the northern permafrost region: Journal of Geophysical Research: Biogeosciences, v. 122, no. 2, p. 430-446, https://doi.org/10.1002/2016JG003384.","productDescription":"17 p.","startPage":"430","endPage":"446","ipdsId":"IP-070881","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jg003384","text":"Publisher Index Page"},{"id":348457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-22","publicationStatus":"PW","scienceBaseUri":"5a0425bce4b0dc0b45b453b0","contributors":{"authors":[{"text":"Xia, Jianyang","contributorId":167809,"corporation":false,"usgs":false,"family":"Xia","given":"Jianyang","email":"","affiliations":[],"preferred":false,"id":721176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, David","contributorId":59333,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","affiliations":[],"preferred":false,"id":721177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burke, Eleanor J.","contributorId":172358,"corporation":false,"usgs":false,"family":"Burke","given":"Eleanor","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Guangsheng","contributorId":200153,"corporation":false,"usgs":false,"family":"Chen","given":"Guangsheng","email":"","affiliations":[],"preferred":false,"id":721179,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Xiaodong","contributorId":172359,"corporation":false,"usgs":false,"family":"Chen","given":"Xiaodong","email":"","affiliations":[{"id":16995,"text":"School of Earth and Space Exploration, Arizona State University","active":true,"usgs":false}],"preferred":false,"id":721180,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Delire, Christine","contributorId":172360,"corporation":false,"usgs":false,"family":"Delire","given":"Christine","email":"","affiliations":[{"id":16636,"text":"CNRS","active":true,"usgs":false}],"preferred":false,"id":721181,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koven, Charles","contributorId":51143,"corporation":false,"usgs":true,"family":"Koven","given":"Charles","affiliations":[],"preferred":false,"id":721182,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"MacDougall, Andrew","contributorId":102378,"corporation":false,"usgs":true,"family":"MacDougall","given":"Andrew","affiliations":[],"preferred":false,"id":721183,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peng, Shushi","contributorId":172355,"corporation":false,"usgs":false,"family":"Peng","given":"Shushi","email":"","affiliations":[{"id":16636,"text":"CNRS","active":true,"usgs":false}],"preferred":false,"id":721184,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rinke, Annette","contributorId":172352,"corporation":false,"usgs":false,"family":"Rinke","given":"Annette","email":"","affiliations":[{"id":12916,"text":"Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, 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Bertrand","contributorId":172364,"corporation":false,"usgs":false,"family":"Decharme","given":"Bertrand","email":"","affiliations":[{"id":16636,"text":"CNRS","active":true,"usgs":false}],"preferred":false,"id":721199,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Gouttevin, Isabelle","contributorId":172365,"corporation":false,"usgs":false,"family":"Gouttevin","given":"Isabelle","email":"","affiliations":[{"id":16636,"text":"CNRS","active":true,"usgs":false}],"preferred":false,"id":721200,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hajima, Tomohiro","contributorId":172366,"corporation":false,"usgs":false,"family":"Hajima","given":"Tomohiro","email":"","affiliations":[],"preferred":false,"id":721201,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721202,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Huang, Kun","contributorId":200156,"corporation":false,"usgs":false,"family":"Huang","given":"Kun","email":"","affiliations":[],"preferred":false,"id":721203,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ji, Duoying","contributorId":172353,"corporation":false,"usgs":false,"family":"Ji","given":"Duoying","email":"","affiliations":[],"preferred":false,"id":721204,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Krinner, Gerhard","contributorId":172367,"corporation":false,"usgs":false,"family":"Krinner","given":"Gerhard","email":"","affiliations":[{"id":16636,"text":"CNRS","active":true,"usgs":false}],"preferred":false,"id":721205,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Lettenmaier, Dennis 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Junyi","contributorId":200161,"corporation":false,"usgs":false,"family":"Liang","given":"Junyi","email":"","affiliations":[],"preferred":false,"id":721213,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Jiang, Lifen","contributorId":177403,"corporation":false,"usgs":false,"family":"Jiang","given":"Lifen","email":"","affiliations":[],"preferred":false,"id":721214,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":721215,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Luo, Yiqi","contributorId":177420,"corporation":false,"usgs":false,"family":"Luo","given":"Yiqi","email":"","affiliations":[],"preferred":false,"id":721216,"contributorType":{"id":1,"text":"Authors"},"rank":34}]}}
,{"id":70192213,"text":"70192213 - 2017 - Tidal triggering of earthquakes suggests poroelastic behavior on the San Andreas Fault","interactions":[],"lastModifiedDate":"2017-10-31T14:57:12","indexId":"70192213","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Tidal triggering of earthquakes suggests poroelastic behavior on the San Andreas Fault","docAbstract":"<p><span>Tidal triggering of earthquakes is hypothesized to provide quantitative information regarding the fault's stress state, poroelastic properties, and may be significant for our understanding of seismic hazard. To date, studies of regional or global earthquake catalogs have had only modest successes in identifying tidal triggering. We posit that the smallest events that may provide additional evidence of triggering go unidentified and thus we developed a technique to improve the identification of very small magnitude events. We identify events applying a method known as inter-station seismic coherence where we prioritize detection and discrimination over characterization. Here we show tidal triggering of earthquakes on the San Andreas Fault. We find the complex interaction of semi-diurnal and fortnightly tidal periods exposes both stress threshold and critical state behavior. Our findings reveal earthquake nucleation processes and pore pressure conditions – properties of faults that are difficult to measure, yet extremely important for characterizing earthquake physics and seismic hazards.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2016.12.014","usgsCitation":"Delorey, A., van der Elst, N., and Johnson, P., 2017, Tidal triggering of earthquakes suggests poroelastic behavior on the San Andreas Fault: Earth and Planetary Science Letters, v. 460, p. 164-170, https://doi.org/10.1016/j.epsl.2016.12.014.","productDescription":"7 p.","startPage":"164","endPage":"170","ipdsId":"IP-068597","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470100,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1341854","text":"Publisher Index Page"},{"id":347908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121,\n              35.5\n            ],\n            [\n              -120,\n              35.5\n            ],\n            [\n              -120,\n              36.4\n            ],\n            [\n              -121,\n              36.4\n            ],\n            [\n              -121,\n              35.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"460","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98bb8e4b0531197af9ffb","contributors":{"authors":[{"text":"Delorey, Andrew","contributorId":189149,"corporation":false,"usgs":false,"family":"Delorey","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":714833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":714832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Paul","contributorId":189150,"corporation":false,"usgs":false,"family":"Johnson","given":"Paul","email":"","affiliations":[],"preferred":false,"id":714834,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193686,"text":"70193686 - 2017 - Generation of 3-D hydrostratigraphic zones from dense airborne electromagnetic data to assess groundwater model prediction error","interactions":[],"lastModifiedDate":"2017-11-02T16:32:12","indexId":"70193686","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Generation of 3-D hydrostratigraphic zones from dense airborne electromagnetic data to assess groundwater model prediction error","docAbstract":"<p>We present a new methodology to combine spatially dense high-resolution airborne electromagnetic (AEM) data and sparse borehole information to construct multiple plausible geological structures using a stochastic approach. The method developed allows for quantification of the performance of groundwater models built from different geological realizations of structure. Multiple structural realizations are generated using geostatistical Monte Carlo simulations that treat sparse borehole lithological observations as hard data and dense geophysically derived structural probabilities as soft data. Each structural model is used to define 3-D hydrostratigraphical zones of a groundwater model, and the hydraulic parameter values of the zones are estimated by using nonlinear regression to fit hydrological data (hydraulic head and river discharge measurements). Use of the methodology is demonstrated for a synthetic domain having structures of categorical deposits consisting of sand, silt, or clay. It is shown that using dense AEM data with the methodology can significantly improve the estimated accuracy of the sediment distribution as compared to when borehole data are used alone. It is also shown that this use of AEM data can improve the predictive capability of a calibrated groundwater model that uses the geological structures as zones. However, such structural models will always contain errors because even with dense AEM data it is not possible to perfectly resolve the structures of a groundwater system. It is shown that when using such erroneous structures in a groundwater model, they can lead to biased parameter estimates and biased model predictions, therefore impairing the model's predictive capability.</p>","language":"English","publisher":"AGU","doi":"10.1002/2016WR019141","usgsCitation":"Christensen, N.K., Minsley, B.J., and Christensen, S., 2017, Generation of 3-D hydrostratigraphic zones from dense airborne electromagnetic data to assess groundwater model prediction error: Water Resources Research, v. 53, no. 2, p. 1019-1038, https://doi.org/10.1002/2016WR019141.","productDescription":"20 p.","startPage":"1019","endPage":"1038","ipdsId":"IP-081403","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":488731,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.au.dk/portal/en/publications/dcdb9b5e-bf3c-4826-83aa-0fb5cd606845","text":"External Repository"},{"id":348146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2ea5e4b0531197b27f85","contributors":{"authors":[{"text":"Christensen, Nikolaj K","contributorId":199736,"corporation":false,"usgs":false,"family":"Christensen","given":"Nikolaj","email":"","middleInitial":"K","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":719889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Steen","contributorId":199737,"corporation":false,"usgs":false,"family":"Christensen","given":"Steen","email":"","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":719890,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191538,"text":"70191538 - 2017 - Compartmentalization of the Coso East Flank geothermal field imaged by 3-D full-tensor MT inversion","interactions":[],"lastModifiedDate":"2017-10-17T11:10:13","indexId":"70191538","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Compartmentalization of the Coso East Flank geothermal field imaged by 3-D full-tensor MT inversion","docAbstract":"<p><span>Previous magnetotelluric (MT) studies of the high-temperature Coso geothermal system in California identified a subvertical feature of low resistivity (2–5&nbsp;Ohm m) and appreciable lateral extent (&gt;1&nbsp;km) in the producing zone of the East Flank field. However, these models could not reproduce gross 3-D effects in the recorded data. We perform 3-D full-tensor inversion and retrieve a resistivity model that out-performs previous 2-D and 3-D off-diagonal models in terms of its fit to the complete 3-D MT data set as well as the degree of modelling bias. Inclusion of secondary&nbsp;</span><i>Z</i><sub><i>xx</i></sub><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>Z</i><sub><i>yy</i></sub><span><span>&nbsp;</span>data components leads to a robust east-dip (60†) to the previously identified conductive East Flank reservoir feature, which correlates strongly with recently mapped surface faults, downhole well temperatures, 3-D seismic reflection data, and local microseismicity. We perform synthetic forward modelling to test the best-fit dip of this conductor using the response at a nearby MT station. We interpret the dipping conductor as a fractured and fluidized compartment, which is structurally controlled by an unmapped blind East Flank fault zone.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggw408","usgsCitation":"Lindsey, N.J., Kaven, J., Davatzes, N.C., and Newman, G.A., 2017, Compartmentalization of the Coso East Flank geothermal field imaged by 3-D full-tensor MT inversion: Geophysical Journal International, v. 208, no. 2, p. 652-662, https://doi.org/10.1093/gji/ggw408.","productDescription":"11 p.","startPage":"652","endPage":"662","ipdsId":"IP-073610","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470088,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggw408","text":"Publisher Index Page"},{"id":346680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Coso Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.8,\n              36\n            ],\n            [\n              -117.725,\n              36\n            ],\n            [\n              -117.725,\n              36.075\n            ],\n            [\n              -117.8,\n              36.075\n            ],\n            [\n              -117.8,\n              36\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"208","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-05","publicationStatus":"PW","scienceBaseUri":"59e71692e4b05fe04cd331b1","contributors":{"authors":[{"text":"Lindsey, Nathaniel J.","contributorId":197138,"corporation":false,"usgs":false,"family":"Lindsey","given":"Nathaniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaven, J. Ole 0000-0003-2625-2786 okaven@usgs.gov","orcid":"https://orcid.org/0000-0003-2625-2786","contributorId":3993,"corporation":false,"usgs":true,"family":"Kaven","given":"J. Ole","email":"okaven@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":712678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davatzes, Nicholas C.","contributorId":138855,"corporation":false,"usgs":false,"family":"Davatzes","given":"Nicholas","email":"","middleInitial":"C.","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":712680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Gregory A.","contributorId":197140,"corporation":false,"usgs":false,"family":"Newman","given":"Gregory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70186027,"text":"70186027 - 2017 - Using silver and bighead carp cell lines for the identification of a unique metabolite fingerprint from thiram-specific chemical exposure","interactions":[],"lastModifiedDate":"2017-03-30T11:58:48","indexId":"70186027","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Using silver and bighead carp cell lines for the identification of a unique metabolite fingerprint from thiram-specific chemical exposure","docAbstract":"<p id=\"abspara0010\">Conservation biology often requires the control of invasive species. One method is the development and use of biocides. Identifying new chemicals as part of the biocide registration approval process can require screening millions of compounds. Traditionally, screening new chemicals has been done <i>in&nbsp;vivo</i> using test organisms. Using <i>in&nbsp;vitro</i> (e.g., cell lines) and <i>in silico</i> (e.g., computer models) methods decrease test organism requirements and increase screening speed and efficiency. These methods, however, would be greatly improved by better understanding how individual fish species metabolize selected compounds.</p><p id=\"abspara0015\">We combined cell assays and metabolomics to create a powerful tool to facilitate the identification of new control chemicals. Specifically, we exposed cell lines established from bighead carp and silver carp larvae to thiram (7 concentrations) then completed metabolite profiling to assess the dose-response of the bighead carp and silver carp metabolome to thiram. Forty one of the 700 metabolomic markers identified in bighead carp exhibited a dose-response to thiram exposure compared to silver carp in which 205 of 1590 metabolomic markers exhibited a dose-response. Additionally, we identified 11 statistically significant metabolomic markers based upon volcano plot analysis common between both species. This smaller subset of metabolites formed a thiram-specific metabolomic fingerprint which allowed for the creation of a toxicant specific, rather than a species-specific, metabolomic fingerprint. Metabolomic fingerprints may be used in biocide development and improve our understanding of ecologically significant events, such as mass fish kills.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2016.11.046","usgsCitation":"Putnam, J.G., Nelson, J., Leis, E.M., Erickson, R.A., Hubert, T.D., and Amberg, J.J., 2017, Using silver and bighead carp cell lines for the identification of a unique metabolite fingerprint from thiram-specific chemical exposure: Chemosphere, v. 168, p. 1477-1485, https://doi.org/10.1016/j.chemosphere.2016.11.046.","productDescription":"9 p.","startPage":"1477","endPage":"1485","ipdsId":"IP-078135","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"168","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194ee4b02ff32c699c9b","contributors":{"authors":[{"text":"Putnam, Joel G. 0000-0002-5464-4587 jgputnam@usgs.gov","orcid":"https://orcid.org/0000-0002-5464-4587","contributorId":5783,"corporation":false,"usgs":true,"family":"Putnam","given":"Joel","email":"jgputnam@usgs.gov","middleInitial":"G.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Justine 0000-0003-2530-5815 jenelson@usgs.gov","orcid":"https://orcid.org/0000-0003-2530-5815","contributorId":168767,"corporation":false,"usgs":true,"family":"Nelson","given":"Justine","email":"jenelson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leis, Eric M.","contributorId":187767,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":687386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hubert, Terrance D. 0000-0001-9712-1738 thubert@usgs.gov","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":3036,"corporation":false,"usgs":true,"family":"Hubert","given":"Terrance","email":"thubert@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":147776,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":687385,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193666,"text":"70193666 - 2017 - Predictors of breeding site occupancy by amphibians in montane landscapes","interactions":[],"lastModifiedDate":"2017-11-13T14:21:40","indexId":"70193666","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Predictors of breeding site occupancy by amphibians in montane landscapes","docAbstract":"<p><span>Ecological relationships and processes vary across species’ geographic distributions, life stages and spatial, and temporal scales. Montane landscapes are characterized by low wetland densities, rugged topographies, and cold climates. Consequently, aquatic-dependent and low-vagility ectothermic species (e.g., pool-breeding amphibians) may exhibit unique ecological associations in montane landscapes. We evaluated the relative importance of breeding- and landscape-scale features associated with spotted salamander (</span><i>Ambystoma maculatum</i><span>) and wood frog (</span><i>Lithobates sylvaticus</i><span>) wetland occupancy in Maine's Upper Montane-Alpine Zone ecoregion, and we determined whether models performed better when the inclusive landscape-scale covariates were estimated with topography-weighted or circular buffers. We surveyed 135 potential breeding sites during May 2013–June 2014 and evaluated environmental relationships with multi-season implicit dynamics occupancy models. Breeding site occupancy by both species was influenced solely by breeding-scale habitat features. Spotted salamander occupancy probabilities increased with previous or current beaver (</span><i>Castor canadensis</i><span>) presence, and models generally were better supported when the inclusive landscape-scale covariates were estimated with topography-weighted rather than circular buffers. Wood frog occupancy probabilities increased with site area and percent shallows, but neither buffer type was better supported than the other. Model rank order and support varied between buffer types, but model inferences did not. Our results suggest pool-breeding amphibian conservation in montane Maine include measures to maintain beaver populations and large wetlands with proportionally large areas of shallows ≤1-m deep. Inconsistencies between our study and previous studies substantiate the value of region-specific research for augmenting species’ conservation management plans and suggest the application of out-of-region inferences may promote ineffective conservation.<span>&nbsp;</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21184","usgsCitation":"Groff, L.A., Loftin, C., and Calhoun, A.J., 2017, Predictors of breeding site occupancy by amphibians in montane landscapes: Journal of Wildlife Management, v. 81, no. 2, p. 269-278, https://doi.org/10.1002/jwmg.21184.","productDescription":"10 p.","startPage":"269","endPage":"278","ipdsId":"IP-070490","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Franklin County, Piscataquis 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,{"id":70186045,"text":"70186045 - 2017 - Inhibition of an aquatic rhabdovirus demonstrates promise of a broad-spectrum antiviral for use in aquaculture","interactions":[],"lastModifiedDate":"2017-03-30T11:27:56","indexId":"70186045","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2497,"text":"Journal of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Inhibition of an aquatic rhabdovirus demonstrates promise of a broad-spectrum antiviral for use in aquaculture","docAbstract":"<p><span>Many enveloped viruses cause devastating disease in aquaculture, resulting in significant economic impact. LJ001 is a broad-spectrum antiviral compound that inhibits enveloped virus infections by specifically targeting phospholipids in the lipid bilayer via the production of singlet oxygen (</span><sup>1</sup><span>O</span><sub>2</sub><span>). This stabilizes positive curvature and decreases membrane fluidity, which inhibits virus-cell membrane fusion during viral entry. Based on data from previous mammalian studies and the requirement of light for the activation of LJ001, we hypothesized that LJ001 may be useful as a preventative and/or therapeutic agent for infections by enveloped viruses in aquaculture. Here, we report that LJ001 was more stable with a prolonged inhibitory half-life at relevant aquaculture temperatures (15°C), than in mammalian studies at 37°C. When LJ001 was preincubated with our model virus, infectious hematopoietic necrosis virus (IHNV), infectivity was significantly inhibited </span><i>in vitro</i><span> (using the epithelioma papulosum cyprini [EPC] fish cell line) and </span><i>in vivo</i><span> (using rainbow trout fry) in a dose-dependent and time-dependent manner. While horizontal transmission of IHNV in a static cohabitation challenge model was reduced by LJ001, transmission was not completely blocked at established antiviral doses. Therefore, LJ001 may be best suited as a therapeutic for aquaculture settings that include viral infections with lower virus-shedding rates than IHNV or where higher viral titers are required to initiate infection of naive fish. Importantly, our data also suggest that LJ001-inactivated IHNV elicited an innate immune response in the rainbow trout host, making LJ001 potentially useful for future vaccination approaches.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JVI.02181-16","usgsCitation":"Balmer, B.F., Powers, R., Zhang, T., Lee, J., Vigant, F., Lee, B., Jung, M.E., Purcell, M., Snekvik, K., and Aguilar, H.C., 2017, Inhibition of an aquatic rhabdovirus demonstrates promise of a broad-spectrum antiviral for use in aquaculture: Journal of Virology, v. 91, no. 4, e02181-16, https://doi.org/10.1128/JVI.02181-16.","productDescription":"e02181-16","ipdsId":"IP-078805","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jvi.02181-16","text":"Publisher Index Page"},{"id":338807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194ee4b02ff32c699c99","contributors":{"authors":[{"text":"Balmer, Bethany F.","contributorId":190169,"corporation":false,"usgs":false,"family":"Balmer","given":"Bethany","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":687452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Rachel L. 0000-0001-6901-4361","orcid":"https://orcid.org/0000-0001-6901-4361","contributorId":190182,"corporation":false,"usgs":true,"family":"Powers","given":"Rachel L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":687453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Ting-Hu","contributorId":190170,"corporation":false,"usgs":false,"family":"Zhang","given":"Ting-Hu","affiliations":[],"preferred":false,"id":687454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Jihye","contributorId":190171,"corporation":false,"usgs":false,"family":"Lee","given":"Jihye","email":"","affiliations":[],"preferred":false,"id":687455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vigant, Frederic","contributorId":190172,"corporation":false,"usgs":false,"family":"Vigant","given":"Frederic","email":"","affiliations":[],"preferred":false,"id":687456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Benhur","contributorId":190173,"corporation":false,"usgs":false,"family":"Lee","given":"Benhur","email":"","affiliations":[],"preferred":false,"id":687457,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jung, Michael E.","contributorId":190174,"corporation":false,"usgs":false,"family":"Jung","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":687458,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Purcell, Maureen K. mpurcell@usgs.gov","contributorId":3061,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","email":"mpurcell@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":687451,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Snekvik, Kevin","contributorId":127574,"corporation":false,"usgs":false,"family":"Snekvik","given":"Kevin","email":"","affiliations":[{"id":7057,"text":"Washington Animal Disease Diagnostic Laboratory, Washington State Univeristy","active":true,"usgs":false}],"preferred":false,"id":687459,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aguilar, Hector C.","contributorId":190175,"corporation":false,"usgs":false,"family":"Aguilar","given":"Hector","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":687460,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70186151,"text":"70186151 - 2017 - Managing American Oystercatcher (<i>Haematopus palliatus</i>) population qrowth by targeting nesting season vital rates","interactions":[],"lastModifiedDate":"2017-03-30T11:16:32","indexId":"70186151","displayToPublicDate":"2017-02-01T00:00:00","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}},"title":"Managing American Oystercatcher (<i>Haematopus palliatus</i>) population qrowth by targeting nesting season vital rates","docAbstract":"<p><span>In populations of long-lived species, adult survival typically has a relatively high influence on population growth. From a management perspective, however, adult survival can be difficult to increase in some instances, so other component rates must be considered to reverse population declines. In North Carolina, USA, management to conserve the American Oystercatcher (</span><i>Haematopus palliatus</i><span>) targets component vital rates related to fecundity, specifically nest and chick survival. The effectiveness of such a management approach in North Carolina was assessed by creating a three-stage female-based deterministic matrix model. Isoclines were produced from the matrix model to evaluate minimum nest and chick survival rates necessary to reverse population decline, assuming all other vital rates remained stable at mean values. Assuming accurate vital rates, breeding populations within North Carolina appear to be declining. To reverse this decline, combined nest and chick survival would need to increase from 0.14 to ≤ 0.27, a rate that appears to be attainable based on historical estimates. Results are heavily dependent on assumptions of other vital rates, most notably adult survival, revealing the need for accurate estimates of all vital rates to inform management actions. This approach provides valuable insights for evaluating conservation goals for species of concern.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.040.sp106","usgsCitation":"Felton, S.K., Hostetter, N.J., Pollock, K.H., and Simons, T.R., 2017, Managing American Oystercatcher (<i>Haematopus palliatus</i>) population qrowth by targeting nesting season vital rates: Waterbirds, v. 40, no. sp1, p. 44-54, https://doi.org/10.1675/063.040.sp106.","productDescription":"11 p.","startPage":"44","endPage":"54","ipdsId":"IP-071195","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":461763,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.040.sp106","text":"Publisher Index Page"},{"id":338800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"sp1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194ee4b02ff32c699c95","contributors":{"authors":[{"text":"Felton, Shilo K.","contributorId":190179,"corporation":false,"usgs":false,"family":"Felton","given":"Shilo","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":687694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetter, Nathan J.","contributorId":171690,"corporation":false,"usgs":false,"family":"Hostetter","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":687695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":687696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":687677,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193472,"text":"70193472 - 2017 - Factors influencing detection of the federally endangered Diamond Darter Crystallaria cincotta: Implications for long-term monitoring strategies","interactions":[],"lastModifiedDate":"2017-11-10T18:32:18","indexId":"70193472","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5153,"text":"The American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing detection of the federally endangered Diamond Darter Crystallaria cincotta: Implications for long-term monitoring strategies","docAbstract":"<p><span>Population monitoring is an essential component of endangered species recovery programs. The federally endangered Diamond Darter&nbsp;</span><i><i>Crystallaria cincotta</i></i><span><span>&nbsp;</span>is in need of an effective monitoring design to improve our understanding of its distribution and track population trends. Because of their small size, cryptic coloration, and nocturnal behavior, along with limitations associated with current sampling methods, individuals are difficult to detect at known occupied sites. Therefore, research is needed to determine if survey efforts can be improved by increasing probability of individual detection. The primary objective of this study was to determine if there are seasonal and diel patterns in Diamond Darter detectability during population surveys. In addition to temporal factors, we also assessed five habitat variables that might influence individual detection. We used<span>&nbsp;</span></span><i>N</i><span>-mixture models to estimate site abundances and relationships between covariates and individual detectability and ranked models using Akaike's information criteria. During 2015 three known occupied sites were sampled 15 times each between May and Oct. The best supported model included water temperature as a quadratic function influencing individual detectability, with temperatures around 22 C resulting in the highest detection probability. Detection probability when surveying at the optimal temperature was approximately 6% and 7.5% greater than when surveying at 16 C and 29 C, respectively. Time of Night and day of year were not strong predictors of Diamond Darter detectability. The results of this study will allow researchers and agencies to maximize detection probability when surveying populations, resulting in greater monitoring efficiency and likely more precise abundance estimates.</span></p>","language":"English","doi":"10.1674/0003-0031-178.1.123","usgsCitation":"Rizzo, A.A., Brown, D., Welsh, S., and Thompson, P., 2017, Factors influencing detection of the federally endangered Diamond Darter Crystallaria cincotta: Implications for long-term monitoring strategies: The American Midland Naturalist, v. 178, no. 1, p. 123-131, https://doi.org/10.1674/0003-0031-178.1.123.","productDescription":"9 p.","startPage":"123","endPage":"131","ipdsId":"IP-079169","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"178","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8d1e4b09af898c86146","contributors":{"authors":[{"text":"Rizzo, Austin A.","contributorId":191439,"corporation":false,"usgs":false,"family":"Rizzo","given":"Austin","email":"","middleInitial":"A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":721636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Donald J.","contributorId":191568,"corporation":false,"usgs":false,"family":"Brown","given":"Donald J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":721637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":721638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Patricia A. pathompson@usgs.gov","contributorId":5249,"corporation":false,"usgs":true,"family":"Thompson","given":"Patricia A.","email":"pathompson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":721639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193455,"text":"70193455 - 2017 - Annual changes in seasonal river water temperatures in the eastern and western United States","interactions":[],"lastModifiedDate":"2021-06-04T15:52:04.210872","indexId":"70193455","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Annual changes in seasonal river water temperatures in the eastern and western United States","docAbstract":"<p><span>Changes in river water temperatures are anticipated to have direct effects on thermal habitat and fish population vital rates, and therefore, understanding temporal trends in water temperatures may be necessary for predicting changes in thermal habitat and how species might respond to such changes. However, many investigations into trends in water temperatures use regression methods that assume long-term monotonic changes in temperature, when in fact changes are likely to be nonmonotonic. Therefore, our objective was to highlight the need and provide an example of an analytical method to better quantify the short-term, nonmonotonic temporal changes in thermal habitat that are likely necessary to determine the effects of changing thermal conditions on fish populations and communities. To achieve this objective, this study uses Bayesian dynamic linear models (DLMs) to examine seasonal trends in river water temperatures from sites located in the eastern and western United States, regions that have dramatically different riverine habitats and fish communities. We estimated the annual rate of change in water temperature and found little evidence of seasonal changes in water temperatures in the eastern U.S. We found more evidence of warming for river sites located in the western U.S., particularly during the fall and winter seasons. Use of DLMs provided a more detailed view of temporal dynamics in river thermal habitat compared to more traditional methods by quantifying year-to-year changes and associated uncertainty, providing managers with the information needed to adapt decision making to short-term changes in habitat conditions that may be necessary for conserving aquatic resources in the face of a changing climate.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w9020090","usgsCitation":"Wagner, T., Midway, S.R., Whittier, J.B., DeWeber, J.T., and Paukert, C.P., 2017, Annual changes in seasonal river water temperatures in the eastern and western United States: Water, v. 9, no. 2, 90; 13 p., https://doi.org/10.3390/w9020090.","productDescription":"90; 13 p.","ipdsId":"IP-071167","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w9020090","text":"Publisher Index Page"},{"id":348596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.6650390625,\n              36.914764288955936\n            ],\n            [\n              -106.58935546875,\n              36.914764288955936\n            ],\n            [\n              -106.58935546875,\n              40.97989806962013\n            ],\n            [\n              -111.6650390625,\n              40.97989806962013\n            ],\n            [\n              -111.6650390625,\n              36.914764288955936\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.4638671875,\n              37.33522435930639\n            ],\n            [\n              -74.37744140625,\n              37.33522435930639\n            ],\n            [\n              -74.37744140625,\n              42.391008609205045\n            ],\n            [\n              -80.4638671875,\n              42.391008609205045\n            ],\n            [\n              -80.4638671875,\n              37.33522435930639\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-04","publicationStatus":"PW","scienceBaseUri":"5a06c8d1e4b09af898c8614a","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":721646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeWeber, Jefferson T.","contributorId":199675,"corporation":false,"usgs":false,"family":"DeWeber","given":"Jefferson","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":721647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":719127,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193299,"text":"70193299 - 2017 - Quaternary displacement rates on the Meeman‐Shelby fault and Joiner ridge horst, eastern Arkansas: Results from coring Mississippi River alluvium","interactions":[],"lastModifiedDate":"2017-11-11T14:05:33","indexId":"70193299","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary displacement rates on the Meeman‐Shelby fault and Joiner ridge horst, eastern Arkansas: Results from coring Mississippi River alluvium","docAbstract":"<p>This research used coring and optically stimulated luminescence (OSL) dating of displaced, deeply buried Quaternary alluvium to determine vertical displacement rates for the Meeman‐Shelby fault and the Joiner ridge horst, two structures in northeastern Arkansas that have no modern seismicity associated with them. We drilled continuous cores of the entire alluvial section in the hanging wall of each structure, performed detailed core descriptions and analyses, and obtained three OSL ages from each core. The Meeman‐Shelby fault core consists of 36&nbsp;m of 4.3–5.2‐ka Holocene alluvium overlying 4&nbsp;m of 14.3‐ka Kennett alluvium that in turn overlies the upper part of Eocene Claiborne Group sediments at a depth of 41&nbsp;m. Seismic reflection indicates that the basal (Kennett) alluvium at the Meeman‐Shelby fault is displaced ∼28  m across the Meeman‐Shelby fault, which equates to a time‐averaged vertical displacement rate of 2  mm/yr within the last 14.3&nbsp;ka. The Joiner ridge horst core consists, in descending order, of 11&nbsp;m of 6.3‐ka Holocene alluvium, 14&nbsp;m of 11.5‐ka Morehouse alluvium, a paleosol, 6&nbsp;m of Kennett alluvium, and 4&nbsp;m of 20.3‐ka Sikeston alluvium that in turn overlies the upper part of Eocene Claiborne Group sediments at a depth of 36&nbsp;m. Lignite exploration drilling conducted in the 1970s indicates that basal (Sikeston) alluvium is displaced ∼20  m across the eastern bounding fault of the Joiner ridge horst, resulting in a time‐averaged vertical displacement rate of ∼1  mm/yr within the last 20.3&nbsp;ka. These late Quaternary displacement rates are comparable to time‐averaged displacement rates of faults within the active New Madrid seismic zone.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160171","usgsCitation":"Ward, A., Counts, R.C., Van Arsdale, R., Larsen, D., and Mahan, S.A., 2017, Quaternary displacement rates on the Meeman‐Shelby fault and Joiner ridge horst, eastern Arkansas: Results from coring Mississippi River alluvium: Seismological Research Letters, v. 88, no. 2A, p. 442-455, https://doi.org/10.1785/0220160171.","productDescription":"14 p.","startPage":"442","endPage":"455","ipdsId":"IP-079369","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":348609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Mississippi River","volume":"88","issue":"2A","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-08","publicationStatus":"PW","scienceBaseUri":"5a07e93ee4b09af898c8cc07","contributors":{"authors":[{"text":"Ward, Alex","contributorId":199298,"corporation":false,"usgs":false,"family":"Ward","given":"Alex","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":718586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Counts, Ronald C. 0000-0002-8426-1990 rcounts@usgs.gov","orcid":"https://orcid.org/0000-0002-8426-1990","contributorId":5343,"corporation":false,"usgs":true,"family":"Counts","given":"Ronald","email":"rcounts@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":718585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Arsdale, Roy","contributorId":199299,"corporation":false,"usgs":false,"family":"Van Arsdale","given":"Roy","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":718587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Daniel","contributorId":199300,"corporation":false,"usgs":false,"family":"Larsen","given":"Daniel","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":718588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":718589,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192900,"text":"70192900 - 2017 - A land data assimilation system for sub-Saharan Africa food and water security applications","interactions":[],"lastModifiedDate":"2017-10-30T15:06:03","indexId":"70192900","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"A land data assimilation system for sub-Saharan Africa food and water security applications","docAbstract":"<p><span>Seasonal agricultural drought monitoring systems, which rely on satellite remote sensing and land surface models (LSMs), are important for disaster risk reduction and famine early warning. These systems require the best available weather inputs, as well as a long-term historical record to contextualize current observations. This article introduces the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS), a custom instance of the NASA Land Information System (LIS) framework. The FLDAS is routinely used to produce multi-model and multi-forcing estimates of hydro-climate states and fluxes over semi-arid, food insecure regions of Africa. These modeled data and derived products, like soil moisture percentiles and water availability, were designed and are currently used to complement FEWS NET’s operational remotely sensed rainfall, evapotranspiration, and vegetation observations. The 30+ years of monthly outputs from the FLDAS simulations are publicly available from the NASA Goddard Earth Science Data and Information Services Center (GES DISC) and recommended for use in hydroclimate studies, early warning applications, and by agro-meteorological scientists in Eastern, Southern, and Western Africa.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/sdata.2017.12","usgsCitation":"McNally, A., Arsenault, K., Kumar, S., Shukla, S., Peterson, P., Wang, S., Funk, C., Peters-Lidard, C., and Verdin, J., 2017, A land data assimilation system for sub-Saharan Africa food and water security applications: Scientific Data, v. 4, p. 1-19, https://doi.org/10.1038/sdata.2017.12.","productDescription":"Article number 170012; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-077287","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470090,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2017.12","text":"Publisher Index Page"},{"id":347730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-14","publicationStatus":"PW","scienceBaseUri":"59f83a39e4b063d5d30980f3","contributors":{"authors":[{"text":"McNally, Amy","contributorId":145810,"corporation":false,"usgs":false,"family":"McNally","given":"Amy","email":"","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":717321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arsenault, Kristi","contributorId":198836,"corporation":false,"usgs":false,"family":"Arsenault","given":"Kristi","affiliations":[],"preferred":false,"id":717322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, Sujay","contributorId":198837,"corporation":false,"usgs":false,"family":"Kumar","given":"Sujay","email":"","affiliations":[],"preferred":false,"id":717323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shukla, Shraddhanand","contributorId":145841,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16255,"text":"Climate Hazards Group University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":717324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Pete","contributorId":192379,"corporation":false,"usgs":false,"family":"Peterson","given":"Pete","affiliations":[],"preferred":false,"id":717325,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Shugong","contributorId":198838,"corporation":false,"usgs":false,"family":"Wang","given":"Shugong","email":"","affiliations":[],"preferred":false,"id":717326,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":717320,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peters-Lidard, Christa","contributorId":198839,"corporation":false,"usgs":false,"family":"Peters-Lidard","given":"Christa","email":"","affiliations":[],"preferred":false,"id":717327,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Verdin, James 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":145830,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717328,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192623,"text":"70192623 - 2017 - An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics","interactions":[],"lastModifiedDate":"2018-05-13T12:10:31","indexId":"70192623","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics","docAbstract":"<p><span>Ecological invasions and colonizations occur dynamically through space and time. Estimating the distribution and abundance of colonizing species is critical for efficient management or conservation. We describe a statistical framework for simultaneously estimating spatiotemporal occupancy and abundance dynamics of a colonizing species. Our method accounts for several issues that are common when modeling spatiotemporal ecological data including multiple levels of detection probability, multiple data sources, and computational limitations that occur when making fine-scale inference over a large spatiotemporal domain. We apply the model to estimate the colonization dynamics of sea otters (</span><i>Enhydra lutris</i><span>) in Glacier Bay, in southeastern Alaska.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1643","usgsCitation":"Williams, P.J., Hooten, M., Womble, J.N., Esslinger, G.G., Bower, M., and Hefley, T.J., 2017, An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics: Ecology, v. 98, no. 2, p. 328-336, https://doi.org/10.1002/ecy.1643.","productDescription":"9 p.","startPage":"328","endPage":"336","ipdsId":"IP-076210","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":461769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.1643","text":"Publisher Index Page"},{"id":348565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-04","publicationStatus":"PW","scienceBaseUri":"5a06c8d2e4b09af898c8614e","contributors":{"authors":[{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":721553,"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":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Womble, Jamie N.","contributorId":198631,"corporation":false,"usgs":false,"family":"Womble","given":"Jamie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":721554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":721555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bower, Michael R.","contributorId":44787,"corporation":false,"usgs":true,"family":"Bower","given":"Michael R.","affiliations":[],"preferred":false,"id":721556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":721557,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70182235,"text":"70182235 - 2017 - Predicting animal home-range structure and transitions using a multistate Ornstein-Uhlenbeck biased random walk","interactions":[],"lastModifiedDate":"2018-03-26T12:17:16","indexId":"70182235","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting animal home-range structure and transitions using a multistate Ornstein-Uhlenbeck biased random walk","docAbstract":"<div class=\"article-section__content n/a main\"><p>The home‐range concept is central in animal ecology and behavior, and numerous mechanistic models have been developed to understand home range formation and maintenance. These mechanistic models usually assume a single, contiguous home range. Here we describe and implement a simple home‐range model that can accommodate multiple home‐range centers, form complex shapes, allow discontinuities in use patterns, and infer how external and internal variables affect movement and use patterns. The model assumes individuals associate with two or more home‐range centers and move among them with some estimable probability. Movement in and around home‐range centers is governed by a two‐dimensional Ornstein‐Uhlenbeck process, while transitions between centers are modeled as a stochastic state‐switching process. We augmented this base model by introducing environmental and demographic covariates that modify transition probabilities between home‐range centers and can be estimated to provide insight into the movement process. We demonstrate the model using telemetry data from sea otters (<i>Enhydra lutris</i>) in California. The model was fit using a Bayesian Markov Chain Monte Carlo method, which estimated transition probabilities, as well as unique Ornstein‐Uhlenbeck diffusion and centralizing tendency parameters. Estimated parameters could then be used to simulate movement and space use that was virtually indistinguishable from real data. We used Deviance Information Criterion (DIC) scores to assess model fit and determined that both wind and reproductive status were predictive of transitions between home‐range centers. Females were less likely to move between home‐range centers on windy days, less likely to move between centers when tending pups, and much more likely to move between centers just after weaning a pup. These tendencies are predicted by theoretical movement rules but were not previously known and show that our model can extract meaningful behavioral insight from complex movement data.</p></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1615","usgsCitation":"Breed, G.A., Golson, E.A., and Tinker, M.T., 2017, Predicting animal home-range structure and transitions using a multistate Ornstein-Uhlenbeck biased random walk: Ecology, v. 98, no. 1, p. 32-47, https://doi.org/10.1002/ecy.1615.","productDescription":"16 p.","startPage":"32","endPage":"47","ipdsId":"IP-065876","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":336116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"58b002c6e4b01ccd54fb27c7","chorus":{"doi":"10.1002/ecy.1615","url":"http://dx.doi.org/10.1002/ecy.1615","publisher":"Wiley-Blackwell","authors":"Breed Greg A., Golson Emily A., Tinker M. Tim","journalName":"Ecology","publicationDate":"11/28/2016","auditedOn":"12/19/2016","publiclyAccessibleDate":"11/28/2016"},"contributors":{"authors":[{"text":"Breed, Greg A.","contributorId":181943,"corporation":false,"usgs":false,"family":"Breed","given":"Greg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":670107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golson, Emily A.","contributorId":181944,"corporation":false,"usgs":false,"family":"Golson","given":"Emily","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":670108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":670106,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70177786,"text":"70177786 - 2017 - Suppression of invasive lake trout in an isolated backcountry lake in Glacier National Park","interactions":[],"lastModifiedDate":"2018-03-26T14:16:36","indexId":"70177786","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Suppression of invasive lake trout in an isolated backcountry lake in Glacier National Park","docAbstract":"<p><span>Fisheries managers have implemented suppression programmes to control non-native lake trout, </span><i>Salvelinus namaycush</i><span> (Walbaum), in several lakes throughout the western United States. This study determined the feasibility of experimentally suppressing lake trout using gillnets in an isolated backcountry lake in Glacier National Park, Montana, USA, for the conservation of threatened bull trout, </span><i>Salvelinus confluentus</i><span> (Suckley). The demographics of the lake trout population during suppression (2009–2013) were described, and those data were used to assess the effects of suppression scenarios on population growth rate (</span><i>λ</i><span>) using an age-structured population model. Model simulations indicated that the population was growing exponentially (</span><i>λ</i><span>&nbsp;=&nbsp;1.23, 95% CI: 1.16–1.28) prior to suppression. However, suppression resulted in declining </span><i>λ</i><span>(0.61–0.79) for lake trout, which was concomitant with stable bull trout adult abundances. Continued suppression at or above observed exploitation levels is needed to ensure continued population declines.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/fme.12200","usgsCitation":"Fredenberg, C.R., Muhlfeld, C.C., Guy, C.S., D'Angelo, V., Downs, C.C., and Syslo, J.M., 2017, Suppression of invasive lake trout in an isolated backcountry lake in Glacier National Park: Fisheries Management and Ecology, v. 24, no. 1, p. 33-48, https://doi.org/10.1111/fme.12200.","productDescription":"16 p.","startPage":"33","endPage":"48","ipdsId":"IP-067234","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":330287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5810c52ce4b0f497e7972c24","chorus":{"doi":"10.1111/fme.12200","url":"http://dx.doi.org/10.1111/fme.12200","publisher":"Wiley-Blackwell","authors":"Fredenberg C. R., Muhlfeld C. C., Guy C. S., D'Angelo V. S., Downs C. C., Syslo J. M.","journalName":"Fisheries Management and Ecology","publicationDate":"1/20/2017","auditedOn":"1/24/2017","publiclyAccessibleDate":"1/20/2017"},"contributors":{"authors":[{"text":"Fredenberg, C. R.","contributorId":187695,"corporation":false,"usgs":true,"family":"Fredenberg","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":651809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":651797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":651796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"D'Angelo, Vincent S. vdangelo@usgs.gov","contributorId":4176,"corporation":false,"usgs":true,"family":"D'Angelo","given":"Vincent S.","email":"vdangelo@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":681371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downs, Christopher C.","contributorId":105067,"corporation":false,"usgs":true,"family":"Downs","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":651808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Syslo, John M.","contributorId":171452,"corporation":false,"usgs":false,"family":"Syslo","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":681372,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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