{"pageNumber":"420","pageRowStart":"10475","pageSize":"25","recordCount":40804,"records":[{"id":70192633,"text":"70192633 - 2017 - Imputation approaches for animal movement modeling","interactions":[],"lastModifiedDate":"2017-11-10T10:51:06","indexId":"70192633","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Imputation approaches for animal movement modeling","docAbstract":"

The analysis of telemetry data is common in animal ecological studies. While the collection of telemetry data for individual animals has improved dramatically, the methods to properly account for inherent uncertainties (e.g., measurement error, dependence, barriers to movement) have lagged behind. Still, many new statistical approaches have been developed to infer unknown quantities affecting animal movement or predict movement based on telemetry data. Hierarchical statistical models are useful to account for some of the aforementioned uncertainties, as well as provide population-level inference, but they often come with an increased computational burden. For certain types of statistical models, it is straightforward to provide inference if the latent true animal trajectory is known, but challenging otherwise. In these cases, approaches related to multiple imputation have been employed to account for the uncertainty associated with our knowledge of the latent trajectory. Despite the increasing use of imputation approaches for modeling animal movement, the general sensitivity and accuracy of these methods have not been explored in detail. We provide an introduction to animal movement modeling and describe how imputation approaches may be helpful for certain types of models. We also assess the performance of imputation approaches in two simulation studies. Our simulation studies suggests that inference for model parameters directly related to the location of an individual may be more accurate than inference for parameters associated with higher-order processes such as velocity or acceleration. Finally, we apply these methods to analyze a telemetry data set involving northern fur seals (Callorhinus ursinus) in the Bering Sea. Supplementary materials accompanying this paper appear online.

","language":"English","publisher":"Springer","doi":"10.1007/s13253-017-0294-5","usgsCitation":"Scharf, H., Hooten, M., and Johnson, D., 2017, Imputation approaches for animal movement modeling: Journal of Agricultural, Biological, and Environmental Statistics, v. 22, no. 3, p. 335-352, https://doi.org/10.1007/s13253-017-0294-5.","productDescription":"18 p.","startPage":"335","endPage":"352","ipdsId":"IP-083743","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469562,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://arxiv.org/abs/1705.10310","text":"External Repository"},{"id":348558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"5a06c8c8e4b09af898c860fb","contributors":{"authors":[{"text":"Scharf, Henry","contributorId":200238,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","affiliations":[],"preferred":false,"id":721545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":721546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193256,"text":"70193256 - 2017 - Landsat-8 TIRS thermal radiometric calibration status","interactions":[],"lastModifiedDate":"2022-04-13T20:29:00.342257","indexId":"70193256","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat-8 TIRS thermal radiometric calibration status","docAbstract":"

The Thermal Infrared Sensor (TIRS) instrument is the thermal-band imager on the Landsat-8 platform. The initial onorbit calibration estimates of the two TIRS spectral bands indicated large average radiometric calibration errors, -0.29 and -0.51 W/m2 sr μm or -2.1K and -4.4K at 300K in Bands 10 and 11, respectively, as well as high variability in the errors, 0.87K and 1.67K (1-σ), respectively. The average error was corrected in operational processing in January 2014, though, this adjustment did not improve the variability. The source of the variability was determined to be stray light from far outside the field of view of the telescope. An algorithm for modeling the stray light effect was developed and implemented in the Landsat-8 processing system in February 2017. The new process has improved the overall calibration of the two TIRS bands, reducing the residual variability in the calibration from 0.87K to 0.51K at 300K for Band 10 and from 1.67K to 0.84K at 300K for Band 11. There are residual average lifetime bias errors in each band: 0.04 W/m2 sr μm (0.30K) and -0.04 W/m2 sr μm (-0.29K), for Bands 10 and 11, respectively.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 10402, Earth Observing Systems XXII","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"SPIE","doi":"10.1117/12.2276045","usgsCitation":"Barsi, J.A., Markham, B.L., Montanaro, M., Gerace, A., Hook, S., Schott, J.R., Raqueno, N.G., and Morfitt, R., 2017, Landsat-8 TIRS thermal radiometric calibration status, in Proceedings Volume 10402, Earth Observing Systems XXII, 11 p., https://doi.org/10.1117/12.2276045.","productDescription":"11 p.","ipdsId":"IP-089775","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fc5","contributors":{"authors":[{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":718387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markham, Brian L.","contributorId":90482,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":718388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montanaro, Matthew","contributorId":147004,"corporation":false,"usgs":false,"family":"Montanaro","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":718389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerace, Aaron","contributorId":199173,"corporation":false,"usgs":false,"family":"Gerace","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":718390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hook, Simon","contributorId":150339,"corporation":false,"usgs":false,"family":"Hook","given":"Simon","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":718391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schott, John R.","contributorId":199175,"corporation":false,"usgs":false,"family":"Schott","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":718392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raqueno, Nina G.","contributorId":199176,"corporation":false,"usgs":false,"family":"Raqueno","given":"Nina","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":718393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":718386,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194621,"text":"70194621 - 2017 - Comparison of acoustic recorders and field observers for monitoring tundra bird communities","interactions":[],"lastModifiedDate":"2018-03-29T15:57:27","indexId":"70194621","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of acoustic recorders and field observers for monitoring tundra bird communities","docAbstract":"

Acoustic recorders can be useful for studying bird populations but their efficiency and accuracy should be assessed in pertinent ecological settings before use. We investigated the utility of an acoustic recorder for monitoring abundance of tundra‐breeding birds relative to point‐count surveys in northwestern Alaska, USA, during 2014. Our objectives were to 1) compare numbers of birds and species detected by a field observer with those detected simultaneously by an acoustic recorder; 2) evaluate how detection probabilities for the observer and acoustic recorder varied with distance of birds from the survey point; and 3) evaluate whether avian guild‐specific detection rates differed between field observers and acoustic recorders relative to habitat. Compared with the observer, the acoustic recorder detected fewer species (βMethod = −0.39 ± 0.07) and fewer individuals (βMethod = −0.56 ± 0.05) in total and for 6 avian guilds. Discrepancies were attributed primarily to differences in effective area surveyed (91% missed by device were >100 m), but also to nonvocal birds being missed by the recorder (55% missed <100 m were silent). The observer missed a few individuals and one species detected by the device. Models indicated that relative abundance of various avian guilds was associated primarily with maximum shrub height and less so with shrub cover and visual obstruction. The absence of a significant interaction between survey method (observer vs. acoustic recorder) and any habitat characteristic suggests that traditional point counts and acoustic recorders would yield similar inferences about ecological relationships in tundra ecosystems. Pairing of the 2 methods could increase survey efficiency and allow for validation and archival of survey results.

","language":"English","publisher":"Wiley","doi":"10.1002/wsb.785","usgsCitation":"Vold, S.T., Handel, C.M., and McNew, L.B., 2017, Comparison of acoustic recorders and field observers for monitoring tundra bird communities: Wildlife Society Bulletin, v. 41, no. 3, p. 566-576, https://doi.org/10.1002/wsb.785.","productDescription":"11 p.","startPage":"566","endPage":"576","ipdsId":"IP-076226","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":500001,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/e1da09f62c874b1b8e656f413aa1edef","text":"External Repository"},{"id":352970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -168.519287109375,\n 64.26845392293136\n ],\n [\n -161.488037109375,\n 64.26845392293136\n ],\n [\n -161.488037109375,\n 66.67473718353055\n ],\n [\n -168.519287109375,\n 66.67473718353055\n ],\n [\n -168.519287109375,\n 64.26845392293136\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-26","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d6","contributors":{"authors":[{"text":"Vold, Skyler T.","contributorId":201220,"corporation":false,"usgs":false,"family":"Vold","given":"Skyler","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":724654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":724653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNew, Lance B.","contributorId":190322,"corporation":false,"usgs":false,"family":"McNew","given":"Lance","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":724655,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197053,"text":"70197053 - 2017 - Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation","interactions":[],"lastModifiedDate":"2018-05-15T15:37:18","indexId":"70197053","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation","docAbstract":"

Crayfish are ecologically important in freshwater systems worldwide and are imperiled in North America and globally. We sought to examine landscape- to local-scale environmental variables related to occupancy and detection probability of a suite of stream-dwelling crayfish species. We used a quantitative kickseine method to sample crayfish presence at 102 perennial stream sites with eight surveys per site. We modeled occupancy (psi) and detection probability (P) and local- and landscape-scale environmental covariates. We developed a set of a priori candidate models for each species and ranked models using (Q)AICc. Detection probabilities and occupancy estimates differed among crayfish species with Orconectes eupunctus, O. marchandi, and Cambarus hubbsi being relatively rare (psi < 0.20) with moderate (0.46–0.60) to high (0.81) detection probability and O. punctimanus and O. ozarkae being relatively common (psi > 0.60) with high detection probability (0.81). Detection probability was often related to local habitat variables current velocity, depth, or substrate size. Important environmental variables for crayfish occupancy were species dependent but were mainly landscape variables such as stream order, geology, slope, topography, and land use. Landscape variables strongly influenced crayfish occupancy and should be considered in future studies and conservation plans.

","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3215-2","usgsCitation":"Magoulick, D.D., DiStefano, R.J., Imhoff, E.M., Nolen, M.S., and Wagner, B.K., 2017, Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation: Hydrobiologia, v. 799, no. 1, p. 217-231, https://doi.org/10.1007/s10750-017-3215-2.","productDescription":"15 p.","startPage":"217","endPage":"231","ipdsId":"IP-080483","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Black River","volume":"799","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-29","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3c6","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiStefano, Robert J.","contributorId":204893,"corporation":false,"usgs":false,"family":"DiStefano","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":735380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imhoff, Emily M.","contributorId":204894,"corporation":false,"usgs":false,"family":"Imhoff","given":"Emily","email":"","middleInitial":"M.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":735381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nolen, Matthew S.","contributorId":204895,"corporation":false,"usgs":false,"family":"Nolen","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":16695,"text":"Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":735382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Brian K.","contributorId":204896,"corporation":false,"usgs":false,"family":"Wagner","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":735383,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196222,"text":"70196222 - 2017 - Volcano Geodesy: Recent developments and future challenges","interactions":[],"lastModifiedDate":"2018-03-27T13:13:31","indexId":"70196222","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Volcano Geodesy: Recent developments and future challenges","docAbstract":"

Ascent of magma through Earth's crust is normally associated with, among other effects, ground deformation and gravity changes. Geodesy is thus a valuable tool for monitoring and hazards assessment during volcanic unrest, and it provides valuable data for exploring the geometry and volume of magma plumbing systems. Recent decades have seen an explosion in the quality and quantity of volcano geodetic data. New datasets (some made possible by regional and global scientific initiatives), as well as new analysis methods and modeling practices, have resulted in important changes to our understanding of the geodetic characteristics of active volcanism and magmatic processes, from the scale of individual eruptive vents to global compilations of volcano deformation. Here, we describe some of the recent developments in volcano geodesy, both in terms of data and interpretive tools, and discuss the role of international initiatives in meeting future challenges for the field.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.08.006","usgsCitation":"Fernandez, J.F., Pepe, A., Poland, M.P., and Sigmundsson, F., 2017, Volcano Geodesy: Recent developments and future challenges: Journal of Volcanology and Geothermal Research, v. 344, p. 1-12, https://doi.org/10.1016/j.jvolgeores.2017.08.006.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-088542","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":352788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"344","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3ca","contributors":{"authors":[{"text":"Fernandez, Jose F.","contributorId":189977,"corporation":false,"usgs":false,"family":"Fernandez","given":"Jose","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":731739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pepe, Antonio","contributorId":203540,"corporation":false,"usgs":false,"family":"Pepe","given":"Antonio","email":"","affiliations":[{"id":36648,"text":"IREA-CNR","active":true,"usgs":false}],"preferred":false,"id":731740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":731738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sigmundsson, Freysteinn","contributorId":203541,"corporation":false,"usgs":false,"family":"Sigmundsson","given":"Freysteinn","email":"","affiliations":[{"id":36649,"text":"University of Iceland","active":true,"usgs":false}],"preferred":false,"id":731741,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191712,"text":"70191712 - 2017 - Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence","interactions":[],"lastModifiedDate":"2017-10-25T10:42:22","indexId":"70191712","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence","docAbstract":"

The 2016 Kumamoto, Japan, earthquake sequence, culminating in the Mw=7.0 16 April 2016 main shock, occurred within an active tectonic belt of central Kyushu. GPS data from GEONET reveal transient crustal motions from several millimeters per year up to ∼3 cm/yr during the first 8.5 months following the sequence. The spatial pattern of horizontal postseismic motions is shaped by both shallow afterslip and viscoelastic relaxation of the lower crust and upper mantle. We construct a suite of 2-D regional viscoelastic structures in order to derive an optimal joint afterslip and viscoelastic relaxation model using forward modeling of the viscoelastic relaxation. We find that afterslip dominates the postseismic relaxation in the near field (within 30 km of the main shock epicenter), while viscoelastic relaxation dominates at greater distance. The viscoelastic modeling strongly favors a very weak lower crust below a ∼65 km wide zone coinciding with the Beppu-Shimabara graben and the locus of central Kyushu volcanism. Inferred uppermost mantle viscosity is relatively low beneath southern Kyushu, consistent with independent inferences of a hydrated mantle wedge within the Nankai trough fore -arc.

","language":"English","publisher":"AGU","doi":"10.1002/2017GL074783","usgsCitation":"Pollitz, F., Kobayashi, T., Yarai, H., Shibazaki, B., and Matsumoto, T., 2017, Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence: Geophysical Research Letters, v. 44, no. 17, p. 8795-8803, https://doi.org/10.1002/2017GL074783.","productDescription":"9 p.","startPage":"8795","endPage":"8803","ipdsId":"IP-088335","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","city":"Kumamoto","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 130,\n 31.5\n ],\n [\n 132,\n 31.5\n ],\n [\n 132,\n 34\n ],\n [\n 130,\n 34\n ],\n [\n 130,\n 31.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-09","publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f42","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kobayashi, Tomokazu","contributorId":197291,"corporation":false,"usgs":false,"family":"Kobayashi","given":"Tomokazu","email":"","affiliations":[],"preferred":false,"id":713141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yarai, Hiroshi","contributorId":197292,"corporation":false,"usgs":false,"family":"Yarai","given":"Hiroshi","email":"","affiliations":[],"preferred":false,"id":713142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shibazaki, Bunichiro","contributorId":197293,"corporation":false,"usgs":false,"family":"Shibazaki","given":"Bunichiro","email":"","affiliations":[],"preferred":false,"id":713143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matsumoto, Takumi","contributorId":197294,"corporation":false,"usgs":false,"family":"Matsumoto","given":"Takumi","email":"","affiliations":[],"preferred":false,"id":713144,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192176,"text":"70192176 - 2017 - Evidence of coupled carbon and iron cycling at a hydrocarbon-contaminated site from time lapse magnetic susceptibility","interactions":[],"lastModifiedDate":"2017-11-06T12:52:24","indexId":"70192176","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of coupled carbon and iron cycling at a hydrocarbon-contaminated site from time lapse magnetic susceptibility","docAbstract":"

Conventional characterization and monitoring of hydrocarbon (HC) pollution is often expensive and time-consuming. Magnetic susceptibility (MS) has been proposed as an inexpensive, long-term monitoring proxy of the degradation of HC. We acquired repeated down hole MS logging data in boreholes at a HC-contaminated field research site in Bemidji, MN, USA. The MS data were analyzed in conjunction with redox conditions and iron availability within the source zone to better assess whether MS can serve as a proxy for monitoring HC contamination in unconsolidated sediments. The MS response at the site diminished during the sampling period, which was found to coincide with depletion of solid phase iron in the source zone. Previous geochemical observations and modeling at the site suggest that the most likely cause of the decrease in MS is the transformation of magnetite to siderite, coupled with the exhaustion of ferrihydrite. Although the temporal MS response at this site gives valuable field-scale evidence for changing conditions of iron cycling and stability of iron minerals it does not provide a simple proxy for long-term monitoring of biodegradation of hydrocarbons in the smear zone.

","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b02155","usgsCitation":"Lund, A.L., Slater, L.D., Atekwana, E.A., Ntarlagiannis, D., Cozzarelli, I.M., and Bekins, B.A., 2017, Evidence of coupled carbon and iron cycling at a hydrocarbon-contaminated site from time lapse magnetic susceptibility: Environmental Science & Technology, v. 51, no. 19, p. 11244-11249, https://doi.org/10.1021/acs.est.7b02155.","productDescription":"6 p.","startPage":"11244","endPage":"11249","ipdsId":"IP-089117","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":438229,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7J67FTF","text":"USGS data release","linkHelpText":"Partial release of iron, alkalinity, and oxygen data from Bemidji crude oil site, Minnesota 1993-2016"},{"id":348272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Bemidji","volume":"51","issue":"19","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-21","publicationStatus":"PW","scienceBaseUri":"5a07e88ae4b09af898c8cb83","contributors":{"authors":[{"text":"Lund, Anders L.","contributorId":197902,"corporation":false,"usgs":false,"family":"Lund","given":"Anders","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee D.","contributorId":197903,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atekwana, Estella A.","contributorId":197904,"corporation":false,"usgs":false,"family":"Atekwana","given":"Estella","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ntarlagiannis, Dimitrios","contributorId":150729,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":714556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714552,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190579,"text":"70190579 - 2017 - Carbon dynamics of river corridors and the effects of human alterations","interactions":[],"lastModifiedDate":"2017-09-08T12:02:44","indexId":"70190579","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dynamics of river corridors and the effects of human alterations","docAbstract":"

Research in stream metabolism, gas exchange, and sediment dynamics indicates that rivers are an active component of the global carbon cycle and that river form and process can influence partitioning of terrestrially derived carbon among the atmosphere, geosphere, and ocean. Here we develop a conceptual model of carbon dynamics (inputs, outputs, and storage of organic carbon) within a river corridor, which includes the active channel and the riparian zone. The exchange of carbon from the channel to the riparian zone represents potential for storage of transported carbon not included in the “active pipe” model of organic carbon (OC) dynamics in freshwater systems. The active pipe model recognizes that river processes influence carbon dynamics, but focuses on CO2 emissions from the channel and eventual delivery to the ocean. We also review how human activities directly and indirectly alter carbon dynamics within river corridors. We propose that dams create the most significant alteration of carbon dynamics within a channel, but that alteration of riparian zones, including the reduction of lateral connectivity between the channel and riparian zone, constitutes the most substantial change of carbon dynamics in river corridors. We argue that the morphology and processes of a river corridor regulate the ability to store, transform, and transport OC, and that people are pervasive modifiers of river morphology and processes. The net effect of most human activities, with the notable exception of reservoir construction, appears to be that of reducing the ability of river corridors to store OC within biota and sediment, which effectively converts river corridors to OC sources rather than OC sinks. We conclude by summarizing knowledge gaps in OC dynamics and the implications of our findings for managing OC dynamics within river corridors.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1261","usgsCitation":"Wohl, E., Hall, R., Lininger, K.B., Sutfin, N.A., and Walters, D., 2017, Carbon dynamics of river corridors and the effects of human alterations: Ecological Monographs, v. 87, no. 3, p. 379-409, https://doi.org/10.1002/ecm.1261.","productDescription":"31 p.","startPage":"379","endPage":"409","ipdsId":"IP-073745","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469571,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1406212","text":"Publisher Index Page"},{"id":345582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"59b3ac33e4b08b1644d8f1bb","contributors":{"authors":[{"text":"Wohl, Ellen 0000-0001-7435-5013","orcid":"https://orcid.org/0000-0001-7435-5013","contributorId":194945,"corporation":false,"usgs":false,"family":"Wohl","given":"Ellen","affiliations":[],"preferred":false,"id":709887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Robert O. Jr.","contributorId":104182,"corporation":false,"usgs":true,"family":"Hall","given":"Robert O.","suffix":"Jr.","affiliations":[],"preferred":false,"id":709888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lininger, Katherine B. 0000-0003-0378-9505","orcid":"https://orcid.org/0000-0003-0378-9505","contributorId":194946,"corporation":false,"usgs":false,"family":"Lininger","given":"Katherine","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":709889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutfin, Nicholas A.","contributorId":196280,"corporation":false,"usgs":false,"family":"Sutfin","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":709890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":709886,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191175,"text":"70191175 - 2017 - Crossing boundaries in a collaborative modeling workspace","interactions":[],"lastModifiedDate":"2017-09-28T13:14:42","indexId":"70191175","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Crossing boundaries in a collaborative modeling workspace","docAbstract":"

There is substantial literature on the importance of bridging across disciplinary and science–management boundaries. One of the ways commonly suggested to cross boundaries is for participants from both sides of the boundary to jointly produce information (i.e., knowledge co-production). But simply providing tools or bringing people together in the same room is not sufficient. Here we present a case study documenting the mechanisms by which managers and scientists collaborated to incorporate climate change projections into Colorado’s State Wildlife Action Plan. A critical component of the project was the use of a collaborative modeling and visualization workspace: the U.S. Geological Survey’s Resource for Advanced Modeling (RAM). Using video analysis and pre/post surveys from this case study, we examine how the RAM facilitated cognitive and social processes that co-produced a more salient and credible end product. This case provides practical suggestions to scientists and practitioners who want to implement actionable science.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2017.1290178","usgsCitation":"Morisette, J.T., Cravens, A.E., Miller, B., Talbert, M., Talbert, C., Jarnevich, C.S., Fink, M., Decker, K., and Odell, E., 2017, Crossing boundaries in a collaborative modeling workspace: Society and Natural Resources, v. 30, no. 9, p. 1158-1167, https://doi.org/10.1080/08941920.2017.1290178.","productDescription":"10 p.","startPage":"1158","endPage":"1167","ipdsId":"IP-081405","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":346161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-10","publicationStatus":"PW","scienceBaseUri":"59ce0a2be4b05fe04cc02108","contributors":{"authors":[{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":711420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":195418,"corporation":false,"usgs":true,"family":"Miller","given":"Brian W.","email":"bwmiller@usgs.gov","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":711425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbert, Marian","contributorId":196751,"corporation":false,"usgs":false,"family":"Talbert","given":"Marian","affiliations":[],"preferred":false,"id":711421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbert, Colin 0000-0002-9505-1876 talbertc@usgs.gov","orcid":"https://orcid.org/0000-0002-9505-1876","contributorId":181913,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fink, Michelle","contributorId":196753,"corporation":false,"usgs":false,"family":"Fink","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":711426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Decker, Karin","contributorId":196754,"corporation":false,"usgs":false,"family":"Decker","given":"Karin","email":"","affiliations":[],"preferred":false,"id":711427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Odell, Eric","contributorId":196755,"corporation":false,"usgs":false,"family":"Odell","given":"Eric","email":"","affiliations":[],"preferred":false,"id":711428,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70194096,"text":"70194096 - 2017 - New zircon (U-Th)/He and U/Pb eruption age for the Rockland tephra, western USA","interactions":[],"lastModifiedDate":"2017-11-17T10:33:47","indexId":"70194096","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"New zircon (U-Th)/He and U/Pb eruption age for the Rockland tephra, western USA","docAbstract":"

Eruption ages of a number of prominent Quaternary volcanic deposits remain inaccurately and/or imprecisely constrained, despite their importance as regional stratigraphic markers in paleo-environment reconstruction and as evidence of climate-altering eruptions. Accurately dating volcanic deposits presents challenging analytical considerations, including poor radiogenic yield, scarcity of datable minerals, and contamination of crystal populations by magma, eruption, and transport processes. One prominent example is the Rockland tephra, which erupted from the Lassen Volcanic Center in the southern Cascade arc. Despite a range in published eruption ages from 0.40 to 0.63 Ma, the Rockland tephra is extensively used as a marker bed across the western United States. To more accurately and precisely constrain the age of the Rockland tephra-producing eruption, we report U/Pb crystallization dates from the outermost ∼2 μm of zircon crystal faces (surfaces) using secondary ion mass spectrometry (SIMS). Our new weighted mean 238U/206Pb age for Rockland tephra zircon surfaces is 0.598 ± 0.013 Ma (2σ) and MSWD = 1.11 (mean square weighted deviation). As an independent test of the accuracy of this age, we obtained new (U-Th)/He dates from individual zircon grains from the Rockland tephra, which yielded a weighted mean age of 0.599 ± 0.012 Ma (2σ, MSWD = 5.13). We also obtained a (U-Th)/He age of 0.628 ± 0.014 Ma (MSWD = 1.19) for the Lava Creek Tuff member B, which was analyzed as a secondary standard to test the accuracy of the (U-Th)/He technique for Quaternary tephras, and to evaluate assumptions made in the model-age calculation. Concordance of new U/Pb and (U-Th)/He zircon ages reinforces the accuracy of our preferred Rockland tephra eruption age, and confirms that zircon surface dates sample zircon growth up to the time of eruption. We demonstrate the broad applicability of coupled U/Pb zircon-surface and single-grain zircon (U-Th)/He geochronology to accurate dating of Quaternary tephra, and highlight the challenges and opportunities of this technique.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.08.004","usgsCitation":"Coble, M.A., Burgess, S.D., and Klemetti, E.W., 2017, New zircon (U-Th)/He and U/Pb eruption age for the Rockland tephra, western USA: Quaternary Science Reviews, v. 172, p. 109-117, https://doi.org/10.1016/j.quascirev.2017.08.004.","productDescription":"9 p.","startPage":"109","endPage":"117","ipdsId":"IP-079677","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469567,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2017.08.004","text":"Publisher Index Page"},{"id":349050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"172","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb4","contributors":{"authors":[{"text":"Coble, Matthew A.","contributorId":200372,"corporation":false,"usgs":false,"family":"Coble","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgess, Seth D. 0000-0002-4238-3797 sburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-4238-3797","contributorId":200371,"corporation":false,"usgs":true,"family":"Burgess","given":"Seth","email":"sburgess@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":722101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klemetti, Erik W.","contributorId":139092,"corporation":false,"usgs":false,"family":"Klemetti","given":"Erik","email":"","middleInitial":"W.","affiliations":[{"id":12650,"text":"Denison University","active":true,"usgs":false}],"preferred":false,"id":722103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191229,"text":"70191229 - 2017 - Climate change-driven cliff and beach evolution at decadal to centennial time scales","interactions":[],"lastModifiedDate":"2017-10-03T13:13:08","indexId":"70191229","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Climate change-driven cliff and beach evolution at decadal to centennial time scales","docAbstract":"

Here we develop a computationally efficient method that evolves cross-shore profiles of sand beaches with or without cliffs along natural and urban coastal environments and across expansive geographic areas at decadal to centennial time-scales driven by 21st century climate change projections. The model requires projected sea level rise rates, extrema of nearshore wave conditions, bluff recession and shoreline change rates, and cross-shore profiles representing present-day conditions. The model is applied to the ~470-km long coast of the Southern California Bight, USA, using recently available projected nearshore waves and bluff recession and shoreline change rates. The results indicate that eroded cliff material, from unarmored cliffs, contribute 11% to 26% to the total sediment budget. Historical beach nourishment rates will need to increase by more than 30% for a 0.25 m sea level rise (~2044) and by at least 75% by the year 2100 for a 1 m sea level rise, if evolution of the shoreline is to keep pace with rising sea levels.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Dynamics 2017","conferenceDate":"June 12-16, 2017","language":"English","publisher":"Coastal Dynamics 2017","publisherLocation":"Helsingør, Denmark","usgsCitation":"Erikson, L.H., O'Neill, A., Barnard, P., Vitousek, S., and Limber, P.W., 2017, Climate change-driven cliff and beach evolution at decadal to centennial time scales, in Proceedings Coastal Dynamics 2017, June 12-16, 2017, p. 125-136.","productDescription":"12 p.","startPage":"125","endPage":"136","ipdsId":"IP-086484","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":346358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346296,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a6e4b05fe04cc4e0ed","contributors":{"authors":[{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vitousek, Sean","contributorId":190192,"corporation":false,"usgs":false,"family":"Vitousek","given":"Sean","affiliations":[],"preferred":false,"id":711631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":196794,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195951,"text":"70195951 - 2017 - Evolution of strain localization in variable-width three-dimensional unsaturated laboratory-scale cut slopes","interactions":[],"lastModifiedDate":"2018-03-09T09:44:27","indexId":"70195951","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2252,"text":"Journal of Engineering Mechanics","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of strain localization in variable-width three-dimensional unsaturated laboratory-scale cut slopes","docAbstract":"

To experimentally validate a recently developed theory for predicting the stability of cut slopes under unsaturated conditions, the authors measured increasing strain localization in unsaturated slope cuts prior to abrupt failure. Cut slope width and moisture content were controlled and varied in a laboratory, and a sliding door that extended the height of the free face of the slope was lowered until the cut slope failed. A particle image velocimetry tool was used to quantify soil displacement in the x-y\">x-y (horizontal) and x-z\">x-z (vertical) planes, and strain was calculated from the displacement. Areas of maximum strain localization prior to failure were shown to coincide with the location of the eventual failure plane. Experimental failure heights agreed with the recently developed stability theory for unsaturated cut slopes (within 14.3% relative error) for a range of saturation and cut slope widths. A theoretical threshold for sidewall influence on cut slope failures was also proposed to quantify the relationship between normalized sidewall width and critical height. The proposed relationship was consistent with the cut slope experiment results, and is intended for consideration in future geotechnical experiment design. The experimental data of evolution of strain localization presented herein provide a physical basis from which future numerical models of strain localization can be validated.

","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)EM.1943-7889.0001286","usgsCitation":"Morse, M.S., Lu, N., Wayllace, A., and Godt, J.W., 2017, Evolution of strain localization in variable-width three-dimensional unsaturated laboratory-scale cut slopes: Journal of Engineering Mechanics, v. 143, no. 9, https://doi.org/10.1061/(ASCE)EM.1943-7889.0001286.","ipdsId":"IP-086057","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":352353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d0","contributors":{"authors":[{"text":"Morse, Michael S.","contributorId":66987,"corporation":false,"usgs":true,"family":"Morse","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":730670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":730671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wayllace, Alexandra","contributorId":203213,"corporation":false,"usgs":false,"family":"Wayllace","given":"Alexandra","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":730672,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":730669,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190580,"text":"70190580 - 2017 - Abundant carbon in the mantle beneath Hawai`i","interactions":[],"lastModifiedDate":"2018-10-25T15:56:45","indexId":"70190580","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Abundant carbon in the mantle beneath Hawai`i","docAbstract":"

Estimates of carbon concentrations in Earth’s mantle vary over more than an order of magnitude, hindering our ability to understand mantle structure and mineralogy, partial melting, and the carbon cycle. CO2 concentrations in mantle-derived magmas supplying hotspot ocean island volcanoes yield our most direct constraints on mantle carbon, but are extensively modified by degassing during ascent. Here we show that undegassed magmatic and mantle carbon concentrations may be estimated in a Bayesian framework using diverse geologic information at an ocean island volcano. Our CO2 concentration estimates do not rely upon complex degassing models, geochemical tracer elements, assumed magma supply rates, or rare undegassed rock samples. Rather, we couple volcanic CO2 emission rates with probabilistic magma supply rates, which are obtained indirectly from magma storage and eruption rates. We estimate that the CO2content of mantle-derived magma supplying Hawai‘i’s active volcanoes is 0.97−0.19+0.25 wt%—roughly 40% higher than previously believed—and is supplied from a mantle source region with a carbon concentration of 263−62+81 ppm. Our results suggest that mantle plumes and ocean island basalts are carbon-rich. Our data also shed light on helium isotope abundances, CO2/Nb ratios, and may imply higher CO2 emission rates from ocean island volcanoes.

","language":"English","publisher":"Springer Nature","doi":"10.1038/ngeo3007","usgsCitation":"Anderson, K.R., and Poland, M.P., 2017, Abundant carbon in the mantle beneath Hawai`i: Nature Geoscience, v. 10, p. 704-708, https://doi.org/10.1038/ngeo3007.","productDescription":"5 p.","startPage":"704","endPage":"708","ipdsId":"IP-082423","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":345581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.2530517578125,\n 18.906286495910905\n ],\n [\n -154.7698974609375,\n 18.906286495910905\n ],\n [\n -154.7698974609375,\n 20.287961155077717\n ],\n [\n -156.2530517578125,\n 20.287961155077717\n ],\n [\n -156.2530517578125,\n 18.906286495910905\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"59b3ac32e4b08b1644d8f1b8","contributors":{"authors":[{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":709891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":709892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195899,"text":"70195899 - 2017 - Play-fairway analysis for geothermal resources and exploration risk in the Modoc Plateau region","interactions":[],"lastModifiedDate":"2018-03-07T14:55:05","indexId":"70195899","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Play-fairway analysis for geothermal resources and exploration risk in the Modoc Plateau region","docAbstract":"

The region surrounding the Modoc Plateau, encompassing parts of northeastern California, southern Oregon, and northwestern Nevada, lies at an intersection between two tectonic provinces; the Basin and Range province and the Cascade volcanic arc. Both of these provinces have substantial geothermal resource base and resource potential. Geothermal systems with evidence of magmatic heat, associated with Cascade arc magmatism, typify the western side of the region. Systems on the eastern side of the region appear to be fault controlled with heat derived from high crustal heat flow, both of which are typical of the Basin and Range. As it has the potential to host Cascade arc-type geothermal resources, Basin and Range-type geothermal resources, and/or resources with characteristics of both provinces, and because there is relatively little current development, the Modoc Plateau region represents an intriguing potential for undiscovered geothermal resources. It remains unclear however, what specific set(s) of characteristics are diagnostic of Modoc-type geothermal systems and how or if those characteristics are distinct from Basin and Range-type or Cascade arc-type geothermal systems. In order to evaluate the potential for undiscovered geothermal resources in the Modoc area, we integrate a wide variety of existing data in order to evaluate geothermal resource potential and exploration risk utilizing ‘play-fairway’ analysis. We consider that the requisite parameters for hydrothermal circulation are: 1) heat that is sufficient to drive circulation, and 2) permeability that is sufficient to allow for fluid circulation in the subsurface. We synthesize data that indicate the extent and distribution of these parameters throughout the Modoc region. ‘Fuzzy logic’ is used to incorporate expert opinion into the utility of each dataset as an indicator of either heat or permeability, and thus geothermal favorability. The results identify several geothermal prospects, areas that are highly favorable for the occurrence of both heat and permeability. These are also areas where there is sufficient data coverage, quality, and consistency that the exploration risk is relatively low. These unknown, undeveloped, and under-developed prospects are well-suited for continued exploration efforts. The results also indicate to what degree the two ‘play-types,’ i.e. Cascade arc-type or Basin and Range-type, apply to each of the geothermal prospects, a useful guide in exploration efforts.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2017.04.003","usgsCitation":"Siler, D., Zhang, Y., Spycher, N.F., Dobson, P., McClain, J.S., Gasperikova, E., Zierenberg, R.A., Schiffman, P., Ferguson, C., Fowler, A., and Cantwell, C., 2017, Play-fairway analysis for geothermal resources and exploration risk in the Modoc Plateau region: Geothermics, v. 69, p. 15-33, https://doi.org/10.1016/j.geothermics.2017.04.003.","productDescription":"19 p.","startPage":"15","endPage":"33","ipdsId":"IP-081054","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469548,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1413861","text":"Publisher Index Page"},{"id":352297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Modoc Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.44287109374999,\n 39.96449067924025\n ],\n [\n -119.5037841796875,\n 39.96449067924025\n ],\n [\n -119.5037841796875,\n 43.06487470411881\n ],\n [\n -121.44287109374999,\n 43.06487470411881\n ],\n [\n -121.44287109374999,\n 39.96449067924025\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"69","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d2","contributors":{"authors":[{"text":"Siler, Drew","contributorId":193559,"corporation":false,"usgs":false,"family":"Siler","given":"Drew","affiliations":[],"preferred":false,"id":730435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Yingqi","contributorId":203070,"corporation":false,"usgs":false,"family":"Zhang","given":"Yingqi","email":"","affiliations":[],"preferred":false,"id":730436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spycher, Nicolas F.","contributorId":203071,"corporation":false,"usgs":false,"family":"Spycher","given":"Nicolas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":730437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobson, Patrick","contributorId":193558,"corporation":false,"usgs":false,"family":"Dobson","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":730438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClain, James S.","contributorId":103578,"corporation":false,"usgs":true,"family":"McClain","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":730439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gasperikova, Erika","contributorId":193561,"corporation":false,"usgs":false,"family":"Gasperikova","given":"Erika","affiliations":[],"preferred":false,"id":730440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zierenberg, Robert A.","contributorId":91883,"corporation":false,"usgs":true,"family":"Zierenberg","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730441,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schiffman, Peter","contributorId":40119,"corporation":false,"usgs":true,"family":"Schiffman","given":"Peter","email":"","affiliations":[],"preferred":false,"id":730442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ferguson, Colin","contributorId":203072,"corporation":false,"usgs":false,"family":"Ferguson","given":"Colin","email":"","affiliations":[],"preferred":false,"id":730443,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fowler, Andrew","contributorId":203073,"corporation":false,"usgs":false,"family":"Fowler","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":730444,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cantwell, Carolyn","contributorId":203075,"corporation":false,"usgs":false,"family":"Cantwell","given":"Carolyn","email":"","affiliations":[],"preferred":false,"id":730445,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70194200,"text":"70194200 - 2017 - Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback","interactions":[],"lastModifiedDate":"2017-11-17T15:17:37","indexId":"70194200","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback","docAbstract":"

Ongoing climate change poses significant threats to plant function and distribution. Increased temperatures and altered precipitation regimes amplify drought frequency and intensity, elevating plant stress and mortality. Large-scale forest mortality events will have far-reaching impacts on carbon and hydrological cycling, biodiversity, and ecosystem services. However, biogeographical theory and global vegetation models poorly represent recent forest die-off patterns. Furthermore, as trees are sessile and long-lived, their responses to climate extremes are substantially dependent on historical factors. We show that periods of favourable climatic and management conditions that facilitate abundant tree growth can lead to structural overshoot of aboveground tree biomass due to a subsequent temporal mismatch between water demand and availability. When environmental favourability declines, increases in water and temperature stress that are protracted, rapid, or both, drive a gradient of tree structural responses that can modify forest self-thinning relationships. Responses ranging from premature leaf senescence and partial canopy dieback to whole-tree mortality reduce canopy leaf area during the stress period and for a lagged recovery window thereafter. Such temporal mismatches of water requirements from availability can occur at local to regional scales throughout a species geographical range. As climate change projections predict large future fluctuations in both wet and dry conditions, we expect forests to become increasingly structurally mismatched to water availability and thus overbuilt during more stressful episodes. By accounting for the historical context of biomass development, our approach can explain previously problematic aspects of large-scale forest mortality, such as why it can occur throughout the range of a species and yet still be locally highly variable, and why some events seem readily attributable to an ongoing drought while others do not. This refined understanding can facilitate better projections of structural overshoot responses, enabling improved prediction of changes in forest distribution and function from regional to global scales.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13636","usgsCitation":"Jump, A.S., Ruiz-Benito, P., Greenwood, S., Allen, C.D., Kitzberger, T., Fensham, R., Martinez-Vilalta, J., and Lloret, F., 2017, Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback: Global Change Biology, v. 23, no. 9, p. 3742-3757, https://doi.org/10.1111/gcb.13636.","productDescription":"16 p.","startPage":"3742","endPage":"3757","ipdsId":"IP-080197","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":461419,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11336/58501","text":"External Repository"},{"id":349076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb1","contributors":{"authors":[{"text":"Jump, Alistair S.","contributorId":200547,"corporation":false,"usgs":false,"family":"Jump","given":"Alistair","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":722631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruiz-Benito, Paloma","contributorId":200538,"corporation":false,"usgs":false,"family":"Ruiz-Benito","given":"Paloma","email":"","affiliations":[],"preferred":false,"id":722632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenwood, Sarah","contributorId":200537,"corporation":false,"usgs":false,"family":"Greenwood","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":722633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kitzberger, Thomas","contributorId":181980,"corporation":false,"usgs":false,"family":"Kitzberger","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":722634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fensham, Rod","contributorId":200542,"corporation":false,"usgs":false,"family":"Fensham","given":"Rod","email":"","affiliations":[],"preferred":false,"id":722635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinez-Vilalta, Jordi","contributorId":200548,"corporation":false,"usgs":false,"family":"Martinez-Vilalta","given":"Jordi","email":"","affiliations":[],"preferred":false,"id":722636,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lloret, Francisco","contributorId":181986,"corporation":false,"usgs":false,"family":"Lloret","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":722637,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70190682,"text":"70190682 - 2017 - Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep","interactions":[],"lastModifiedDate":"2017-09-12T11:56:22","indexId":"70190682","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep","docAbstract":"
  1. Understanding both contact and probability of transmission given contact are key to managing wildlife disease. However, wildlife disease research tends to focus on contact heterogeneity, in part because the probability of transmission given contact is notoriously difficult to measure. Here, we present a first step towards empirically investigating the probability of transmission given contact in free-ranging wildlife.
  2. We used measured contact networks to test whether bighorn sheep demographic states vary systematically in infectiousness or susceptibility to Mycoplasma ovipneumoniae, an agent responsible for bighorn sheep pneumonia.
  3. We built covariates using contact network metrics, demographic information and infection status, and used logistic regression to relate those covariates to lamb survival. The covariate set contained degree, a classic network metric describing node centrality, but also included covariates breaking the network metrics into subsets that differentiated between contacts with yearlings, ewes with lambs, and ewes without lambs, and animals with and without active infections.
  4. Yearlings, ewes with lambs, and ewes without lambs showed similar group membership patterns, but direct interactions involving touch occurred at a rate two orders of magnitude higher between lambs and reproductive ewes than between any classes of adults or yearlings, and one order of magnitude higher than direct interactions between multiple lambs.
  5. Although yearlings and non-reproductive bighorn ewes regularly carried M. ovipneumoniae, our models suggest that a contact with an infected reproductive ewe had approximately five times the odds of producing a lamb mortality event of an identical contact with an infected dry ewe or yearling. Consequently, management actions targeting infected animals might lead to unnecessary removal of young animals that carry pathogens but rarely transmit.
  6. This analysis demonstrates a simple logistic regression approach for testing a priorihypotheses about variation in the odds of transmission given contact for free-ranging hosts, and may be broadly applicable for investigations in wildlife disease ecology.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12664","usgsCitation":"Manlove, K.R., Cassirer, E.F., Plowright, R., Cross, P.C., and Hudson, P., 2017, Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep: Journal of Animal Ecology, v. 86, no. 4, p. 908-920, https://doi.org/10.1111/1365-2656.12664.","productDescription":"13 p.","startPage":"908","endPage":"920","ipdsId":"IP-079432","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":469569,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12664","text":"Publisher Index Page"},{"id":345646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-05-02","publicationStatus":"PW","scienceBaseUri":"59b8f21de4b08b1644e0aed9","contributors":{"authors":[{"text":"Manlove, Kezia R.","contributorId":74651,"corporation":false,"usgs":true,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":710157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cassirer, E. Frances","contributorId":23404,"corporation":false,"usgs":true,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":710158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plowright, Raina K.","contributorId":23038,"corporation":false,"usgs":true,"family":"Plowright","given":"Raina K.","affiliations":[],"preferred":false,"id":710159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":710160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Peter J.","contributorId":85056,"corporation":false,"usgs":true,"family":"Hudson","given":"Peter J.","affiliations":[],"preferred":false,"id":710161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194202,"text":"70194202 - 2017 - Visitor spending effects: assessing and showcasing America's investment in national parks","interactions":[],"lastModifiedDate":"2017-11-17T15:11:54","indexId":"70194202","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2472,"text":"Journal of Sustainable Tourism","active":true,"publicationSubtype":{"id":10}},"title":"Visitor spending effects: assessing and showcasing America's investment in national parks","docAbstract":"

This paper provides an overview of the evolution, future, and global applicability of the U.S. National Park Service's (NPS) visitor spending effects framework and discusses the methods used to effectively communicate the economic return on investment in America's national parks. The 417 parks represent many of America's most iconic destinations: in 2016, they received a record 331 million visits. Competing federal budgetary demands necessitate that, in addition to meeting their mission to preserve unimpaired natural and cultural resources for the enjoyment of the people, parks also assess and showcase their contributions to the economic vitality of their regions and the nation. Key approaches explained include the original Money Generation Model (MGM) from 1990, MGM2 used from 2001, and the visitor spending effects model which replaced MGM2 in 2012. Detailed discussion explains the NPS's visitor use statistics system, the formal program for collecting, compiling, and reporting visitor use data. The NPS is now establishing a formal socioeconomic monitoring (SEM) program to provide a standard visitor survey instrument and a long-term, systematic sampling design for in-park visitor surveys. The pilot SEM survey is discussed, along with the need for international standardization of research methods.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/09669582.2017.1374600","usgsCitation":"Koontz, L., Cullinane Thomas, C., Ziesler, P., Olson, J., and Meldrum, B., 2017, Visitor spending effects: assessing and showcasing America's investment in national parks: Journal of Sustainable Tourism, v. 25, no. 12, p. 1865-1876, https://doi.org/10.1080/09669582.2017.1374600.","productDescription":"12 p.","startPage":"1865","endPage":"1876","ipdsId":"IP-090089","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":349074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fae","contributors":{"authors":[{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":722641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":141097,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziesler, Pamela","contributorId":200550,"corporation":false,"usgs":false,"family":"Ziesler","given":"Pamela","email":"","affiliations":[],"preferred":false,"id":722642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olson, Jeffrey","contributorId":200551,"corporation":false,"usgs":false,"family":"Olson","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":722643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meldrum, Bret","contributorId":200552,"corporation":false,"usgs":false,"family":"Meldrum","given":"Bret","email":"","affiliations":[],"preferred":false,"id":722644,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190690,"text":"70190690 - 2017 - Geomorphic responses to dam removal in the United States – a two-decade perspective","interactions":[],"lastModifiedDate":"2018-02-13T14:53:16","indexId":"70190690","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geomorphic responses to dam removal in the United States – a two-decade perspective","docAbstract":"

Recent decades have seen a marked increase in the number of dams removed in the United States. Investigations following a number of removals are beginning to inform how, and how fast, rivers and their ecosystems respond to released sediment. Though only a few tens of studies detail physical responses to removals, common findings have begun to emerge. They include: (1) Rivers are resilient and respond quickly to dam removals, especially when removals are sudden rather than prolonged. Rivers can swiftly evacuate large fractions of reservoir sediment (≥50% within one year), especially when sediment is coarse grained (sand and gravel). The channel downstream typically takes months to years—not decades—to achieve a degree of stability within its range of natural variability. (2) Modest streamflows (<2-year return interval flows) can erode and transport large amounts of reservoir sediment. Greater streamflows commonly are needed to access remnant reservoir sediment and transport it downstream. (3) Dam height, sediment volume, and sediment caliber strongly influence downstream response to dam removal. Removals of large dams (≥10 m tall) have had longer-lasting and more widespread downstream effects than more common removals of small dams. (4) Downstream valley morphology and position of a dam within a watershed influence the distribution of released sediment. Valley confinement, downstream channel gradient, locations and depths of channel pools, locations and geometries of extant channel bars, and locations of other reservoirs all influence the downstream fate of released sediment.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Gravel bed rivers: Processes and disasters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1002/9781118971437.ch13","usgsCitation":"Major, J.J., East, A.E., O'Connor, J., Grant, G., Wilcox, A.C., Magirl, C.S., Collins, M.J., and Tullos, D.D., 2017, Geomorphic responses to dam removal in the United States – a two-decade perspective, chap. of Gravel bed rivers: Processes and disasters, p. 355-383, https://doi.org/10.1002/9781118971437.ch13.","productDescription":"29 p.","startPage":"355","endPage":"383","ipdsId":"IP-061134","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":345686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-06","publicationStatus":"PW","scienceBaseUri":"59ba43b8e4b091459a5629b3","contributors":{"editors":[{"text":"Tsutsumi, Daizo","contributorId":196410,"corporation":false,"usgs":false,"family":"Tsutsumi","given":"Daizo","email":"","affiliations":[],"preferred":false,"id":710273,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Laronne, Jonathan B.","contributorId":91207,"corporation":false,"usgs":false,"family":"Laronne","given":"Jonathan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":710274,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":710167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":710168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":710169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grant, Gordon E.","contributorId":30881,"corporation":false,"usgs":false,"family":"Grant","given":"Gordon E.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":710170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilcox, Andrew C. 0000-0002-6241-8977","orcid":"https://orcid.org/0000-0002-6241-8977","contributorId":195613,"corporation":false,"usgs":false,"family":"Wilcox","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":710171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710172,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collins, Matthias J. 0000-0003-4238-2038","orcid":"https://orcid.org/0000-0003-4238-2038","contributorId":196365,"corporation":false,"usgs":false,"family":"Collins","given":"Matthias","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":710173,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tullos, Desiree D.","contributorId":176667,"corporation":false,"usgs":false,"family":"Tullos","given":"Desiree","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":710174,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192410,"text":"70192410 - 2017 - Rock friction under variable normal stress","interactions":[],"lastModifiedDate":"2017-10-31T14:36:20","indexId":"70192410","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Rock friction under variable normal stress","docAbstract":"

This study is to determine the detailed response of shear strength and other fault properties to changes in normal stress at room temperature using dry initially bare rock surfaces of granite at normal stresses between 5 and 7 MPa. Rapid normal stress changes result in gradual, approximately exponential changes in shear resistance with fault slip. The characteristic length of the exponential change is similar for both increases and decreases in normal stress. In contrast, changes in fault normal displacement and the amplitude of small high-frequency elastic waves transmitted across the surface follow a two stage response consisting of a large immediate and a smaller gradual response with slip. The characteristic slip distance of the small gradual response is significantly smaller than that of shear resistance. The stability of sliding in response to large step decreases in normal stress is well predicted using the shear resistance slip length observed in step increases. Analysis of the shear resistance and slip-time histories suggest nearly immediate changes in strength occur in response to rapid changes in normal stress; these are manifested as an immediate change in slip speed. These changes in slip speed can be qualitatively accounted for using a rate-independent strength model. Collectively, the observations and model show that acceleration or deceleration in response to normal stress change depends on the size of the change, the frictional characteristics of the fault surface, and the elastic properties of the loading system.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014049","usgsCitation":"Kilgore, B.D., Beeler, N.M., Lozos, J.C., and Oglesby, D., 2017, Rock friction under variable normal stress: Journal of Geophysical Research B: Solid Earth, v. 122, no. 9, p. 7042-7075, https://doi.org/10.1002/2017JB014049.","productDescription":"34 p.","startPage":"7042","endPage":"7075","ipdsId":"IP-081634","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-11","publicationStatus":"PW","scienceBaseUri":"59f98bb5e4b0531197af9fe4","contributors":{"authors":[{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":715734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":715733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lozos, Julian C.","contributorId":146525,"corporation":false,"usgs":false,"family":"Lozos","given":"Julian","email":"","middleInitial":"C.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":715735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oglesby, David","contributorId":198336,"corporation":false,"usgs":false,"family":"Oglesby","given":"David","affiliations":[],"preferred":false,"id":715736,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192097,"text":"70192097 - 2017 - Estimating total maximum daily loads with the Stochastic Empirical Loading and Dilution Model","interactions":[],"lastModifiedDate":"2017-10-23T15:35:08","indexId":"70192097","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3647,"text":"Transportation Research Record","active":true,"publicationSubtype":{"id":10}},"title":"Estimating total maximum daily loads with the Stochastic Empirical Loading and Dilution Model","docAbstract":"

The Massachusetts Department of Transportation (DOT) and the Rhode Island DOT are assessing and addressing roadway contributions to total maximum daily loads (TMDLs). Example analyses for total nitrogen, total phosphorus, suspended sediment, and total zinc in highway runoff were done by the U.S. Geological Survey in cooperation with FHWA to simulate long-term annual loads for TMDL analyses with the stochastic empirical loading and dilution model known as SELDM. Concentration statistics from 19 highway runoff monitoring sites in Massachusetts were used with precipitation statistics from 11 long-term monitoring sites to simulate long-term pavement yields (loads per unit area). Highway sites were stratified by traffic volume or surrounding land use to calculate concentration statistics for rural roads, low-volume highways, high-volume highways, and ultraurban highways. The median of the event mean concentration statistics in each traffic volume category was used to simulate annual yields from pavement for a 29- or 30-year period. Long-term average yields for total nitrogen, phosphorus, and zinc from rural roads are lower than yields from the other categories, but yields of sediment are higher than for the low-volume highways. The average yields of the selected water quality constituents from high-volume highways are 1.35 to 2.52 times the associated yields from low-volume highways. The average yields of the selected constituents from ultraurban highways are 1.52 to 3.46 times the associated yields from high-volume highways. Example simulations indicate that both concentration reduction and flow reduction by structural best management practices are crucial for reducing runoff yields.

","language":"English","publisher":"National Academies of Sciences, Engineering, and Medicine, Transportation Research Board","doi":"10.3141/2638-12","usgsCitation":"Granato, G.E., and Jones, S.C., 2017, Estimating total maximum daily loads with the Stochastic Empirical Loading and Dilution Model: Transportation Research Record, v. 2638, p. 104-112, https://doi.org/10.3141/2638-12.","productDescription":"9 p.","startPage":"104","endPage":"112","ipdsId":"IP-079012","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":347162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2638","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-01","publicationStatus":"PW","scienceBaseUri":"59eeffa5e4b0220bbd988f79","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":197631,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory","email":"ggranato@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Susan Cheung","contributorId":197755,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"Cheung","affiliations":[],"preferred":false,"id":714224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195153,"text":"70195153 - 2017 - Soil microbial community composition is correlated to soil carbon processing along a boreal wetland formation gradient","interactions":[],"lastModifiedDate":"2018-02-07T15:33:10","indexId":"70195153","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5619,"text":"European Journal of Soil Biology","active":true,"publicationSubtype":{"id":10}},"title":"Soil microbial community composition is correlated to soil carbon processing along a boreal wetland formation gradient","docAbstract":"

Climate change is modifying global biogeochemical cycles. Microbial communities play an integral role in soil biogeochemical cycles; knowledge about microbial composition helps provide a mechanistic understanding of these ecosystem-level phenomena. Next generation sequencing approaches were used to investigate changes in microbial functional groups during ecosystem development, in response to climate change, in northern boreal wetlands. A gradient of wetlands that developed following permafrost degradation was used to characterize changes in the soil microbial communities that mediate C cycling: a bog representing an “undisturbed” system with intact permafrost, and a younger bog and an older bog that formed following the disturbance of permafrost thaw. Reference 16S rRNA databases and several diversity indices were used to assess structural differences among these communities, to assess relationships between soil microbial community composition and various environmental variables including redox potential and pH. Rates of potential CO2 and CH4 gas production were quantified to correlate sequence data with gas flux. The abundance of organic C degraders was highest in the youngest bog, suggesting higher rates of microbial processes, including potential CH4 production. In addition, alpha diversity was also highest in the youngest bog, which seemed to be related to a more neutral pH and a lower redox potential. These results could potentially be driven by increased niche differentiation in anaerobic soils. These results suggest that ecosystem structure, which was largely driven by changes in edaphic and plant community characteristics between the “undisturbed” permafrost bog and the two bogs formed following permafrost thaw, strongly influenced microbial function.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejsobi.2017.08.001","usgsCitation":"Chapman, E., Cadillo-Quiroz, H., Childers, D.L., Turetsky, M.R., and Waldrop, M.P., 2017, Soil microbial community composition is correlated to soil carbon processing along a boreal wetland formation gradient: European Journal of Soil Biology, v. 82, p. 17-26, https://doi.org/10.1016/j.ejsobi.2017.08.001.","productDescription":"10 p.","startPage":"17","endPage":"26","ipdsId":"IP-075502","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469549,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejsobi.2017.08.001","text":"Publisher Index Page"},{"id":351296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e7be4b00f54eb229345","contributors":{"authors":[{"text":"Chapman, Eric","contributorId":201935,"corporation":false,"usgs":false,"family":"Chapman","given":"Eric","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cadillo-Quiroz, Hinsby","contributorId":201936,"corporation":false,"usgs":false,"family":"Cadillo-Quiroz","given":"Hinsby","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childers, Daniel L.","contributorId":201937,"corporation":false,"usgs":false,"family":"Childers","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":727224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727220,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192965,"text":"70192965 - 2017 - Modifications to EPA Method 3060A to Improve Extraction of Cr(VI) from Chromium Ore Processing Residue-Contaminated Soils","interactions":[],"lastModifiedDate":"2017-11-12T17:03:11","indexId":"70192965","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Modifications to EPA Method 3060A to Improve Extraction of Cr(VI) from Chromium Ore Processing Residue-Contaminated Soils","docAbstract":"

It has been shown that EPA Method 3060A does not adequately extract Cr(VI) from chromium ore processing residue (COPR). We modified various parameters of EPA 3060A toward understanding the transformation of COPR minerals in the alkaline extraction and improving extraction of Cr(VI) from NIST SRM 2701, a standard COPR-contaminated soil. Aluminum and Si were the major elements dissolved from NIST 2701, and their concentrations in solution were correlated with Cr(VI). The extraction fluid leached additional Al and Si from the method-prescribed borosilicate glass vessels which appeared to suppress the release of Cr(VI). Use of polytetrafluoroethylene vessels and intensive grinding of NIST 2701 increased the amount of Cr(VI) extracted. These modifications, combined with an increased extraction fluid to sample ratio of ≥900 mL g–1 and 48-h extraction time resulted in a maximum release of 1274 ± 7 mg kg–1 Cr(VI). This is greater than the NIST 2701 certified value of 551 ± 35 mg kg–1 but less than 3050 mg kg–1 Cr(VI) previously estimated by X-ray absorption near edge structure spectroscopy. Some of the increased Cr(VI) may have resulted from oxidation of Cr(III) released from brownmillerite which rapidly transformed during the extractions. Layered-double hydroxides remained stable during extractions and represent a potential residence for unextracted Cr(VI).

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.7b01719","usgsCitation":"Mills, C., Bern, C.R., Wolf, R., Foster, A.L., Morrison, J.M., and Benzel, W., 2017, Modifications to EPA Method 3060A to Improve Extraction of Cr(VI) from Chromium Ore Processing Residue-Contaminated Soils: Environmental Science & Technology, v. 51, no. 19, p. 11235-11243, https://doi.org/10.1021/acs.est.7b01719.","productDescription":"9 p.","startPage":"11235","endPage":"11243","ipdsId":"IP-084764","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":348632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"19","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-11","publicationStatus":"PW","scienceBaseUri":"5a096bb0e4b09af898c94141","contributors":{"authors":[{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":717456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":166816,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":717457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolf, Ruth E. 0000-0002-2361-7340","orcid":"https://orcid.org/0000-0002-2361-7340","contributorId":195465,"corporation":false,"usgs":false,"family":"Wolf","given":"Ruth E.","affiliations":[{"id":35727,"text":"PerkinElmer, Incorporated","active":true,"usgs":false}],"preferred":false,"id":717458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":717459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, Jean M. 0000-0002-6614-8783 jmorrison@usgs.gov","orcid":"https://orcid.org/0000-0002-6614-8783","contributorId":994,"corporation":false,"usgs":true,"family":"Morrison","given":"Jean","email":"jmorrison@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":717461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":717460,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190466,"text":"70190466 - 2017 - Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.)","interactions":[],"lastModifiedDate":"2023-06-23T14:39:28.289099","indexId":"70190466","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.)","title":"Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.)","docAbstract":"

Monkeypox (MPX) is a zoonotic disease endemic in Central and West Africa and is caused by Monkeypox virus (MPXV), the most virulent Orthopoxvirus affecting humans since the eradication of Variola virus (VARV). Many aspects of the MPXV transmission cycle, including the natural host of the virus, remain unknown. African rope squirrels (Funisciurus spp.) are considered potential reservoirs of MPXV, as serosurveillance data in Central Africa has confirmed the circulation of the virus in these rodent species. In order to understand the tissue tropism and clinical signs associated with infection with MPXV in these species, wild-caught rope squirrels were experimentally infected via intranasal and intradermal exposure with a recombinant MPXV strain from Central Africa engineered to express the luciferase gene. After infection, we monitored viral replication and shedding via in vivo bioluminescent imaging, viral culture and real time PCR. MPXV infection in African rope squirrels caused mortality and moderate to severe morbidity, with clinical signs including pox lesions in the skin, eyes, mouth and nose, dyspnea, and profuse nasal discharge. Both intranasal and intradermal exposures induced high levels of viremia, fast systemic spread, and long periods of viral shedding. Shedding and luminescence peaked at day 6 post infection and was still detectable after 15 days. Interestingly, one sentinel animal, housed in the same room but in a separate cage, also developed severe MPX disease and was euthanized. This study indicates that MPXV causes significant pathology in African rope squirrels and infected rope squirrels shed large quantities of virus, supporting their role as a potential source of MPXV transmission to humans and other animals in endemic MPX regions.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pntd.0005809","usgsCitation":"Falendysz, E., Lopera, J.G., Doty, J.B., Nakazawa, Y.J., Crill, C., Lorenzsonn, F., Kalemba, L.N., Ronderos, M., Meija, A., Malekani, J.M., Karem, K.L., Caroll, D., Osorio, J.E., and Rocke, T.E., 2017, Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.): PLoS Neglected Tropical Diseases, v. 11, no. 8, p. 1-23, https://doi.org/10.1371/journal.pntd.0005809.","productDescription":"e0005809; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-087668","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469557,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0005809","text":"Publisher Index 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L.","contributorId":150111,"corporation":false,"usgs":false,"family":"Karem","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":709313,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Caroll, Darrin","contributorId":196108,"corporation":false,"usgs":false,"family":"Caroll","given":"Darrin","email":"","affiliations":[],"preferred":false,"id":709315,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Osorio, Jorge E.","contributorId":174759,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":709316,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":709314,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70189769,"text":"ofr20171095 - 2017 - Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington","interactions":[],"lastModifiedDate":"2017-08-31T11:32:02","indexId":"ofr20171095","displayToPublicDate":"2017-08-31T12:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1095","title":"Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington","docAbstract":"

A hydrologic monitoring network was installed to investigate landslide hazards affecting the railway corridor along the eastern shore of Puget Sound between Seattle and Everett, near Mukilteo, Washington. During the summer of 2015, the U.S. Geological Survey installed monitoring equipment at four sites equipped with instrumentation to measure rainfall and air temperature every 15 minutes. Two of the four sites are installed on contrasting coastal bluffs, one landslide scarred and one vegetated. At these two sites, in addition to rainfall and air temperature, volumetric water content, pore pressure, soil suction, soil temperature, and barometric pressure were measured every 15 minutes. The instrumentation was designed to supplement landslide-rainfall thresholds developed by the U.S. Geological Survey with a long-term goal of advancing the understanding of the relationship between landslide potential and hydrologic forcing along the coastal bluffs. Additionally, the system was designed to function as a prototype monitoring system to evaluate criteria for site selection, instrument selection, and placement of instruments. The purpose of this report is to describe the monitoring system, present the data collected since installation, and describe significant events represented within the dataset, which is published as a separate data release. The findings provide insight for building and configuring larger, modular monitoring networks.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171095","collaboration":"Prepared as part of a Technical Assistance Agreement with Sound Transit","usgsCitation":"Smith, J.B., Baum, R.L., Mirus, B.B., Michel, A.R., and Stark, B., 2017, Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington: U.S. Geological Survey Open-File Report 2017–1095, 48 p., https://doi.org/10.3133/ofr20171095.","productDescription":"Report: vii, 48 p.; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-086276","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":345113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1095/ofr20171095.pdf","text":"Report","size":"4.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1095"},{"id":345112,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1095/coverthb.jpg"},{"id":345114,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85WX","text":"USGS Data Release","description":"USGS data release","linkHelpText":"Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington"}],"country":"United States","state":"Washington","city":"Mukilteo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.35748291015625,\n 47.87352572966863\n ],\n [\n -122.29225158691406,\n 47.87352572966863\n ],\n [\n -122.29225158691406,\n 47.954064687296885\n ],\n [\n -122.35748291015625,\n 47.954064687296885\n ],\n [\n -122.35748291015625,\n 47.87352572966863\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS-966
Denver, CO 80225

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-08-31","noUsgsAuthors":false,"publicationDate":"2017-08-31","publicationStatus":"PW","scienceBaseUri":"59a9203de4b07e1a023ccd91","contributors":{"authors":[{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":706289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michel, Abigail R.","contributorId":195122,"corporation":false,"usgs":false,"family":"Michel","given":"Abigail","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stark, Ben","contributorId":195123,"corporation":false,"usgs":false,"family":"Stark","given":"Ben","email":"","affiliations":[],"preferred":false,"id":706291,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190337,"text":"70190337 - 2017 - Late Quaternary environmental dynamics in the Atacama Desert reconstructed from rodent midden pollen records","interactions":[],"lastModifiedDate":"2018-03-29T12:45:16","indexId":"70190337","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary environmental dynamics in the Atacama Desert reconstructed from rodent midden pollen records","docAbstract":"

In the past two decades, much has been learned about the late Quaternary climate history of the Atacama Desert with some details still unclear about the seasonality, timing and extent of wet and dry phases. Modern climate studies reveal that, far from exhibiting a unique pattern, seasonal precipitation originates from many sources and mechanisms. For the last 16 ka, we attempt to sort out these complexities in pollen records from four fossil rodent midden series spanning 22°–25°S in northern Chile. Widespread wet conditions prevailed during the late Pleistocene and early Holocene, particularly between 13 and 9 ka, evidenced by <400 m lowering of pollen zones (plant communities) compared to today. Regional differences in the timing and magnitude of this displacement may be related to the prevailing source (tropical/extra‐tropical) or mode (NNW/SE) of tropical precipitation through time. Wet conditions persisted well into the early Holocene, lasting ∼1–1.5 ka longer than previously suggested. The pollen record suggests extreme drying ∼8 ka, possibly associated with a northward shift of the Inter Tropical Convergence Zone, tracking minimum insolation values at subtropical latitudes during the austral summer. The establishment of conditions similar to today happened ∼4 ka. 

","language":"English","publisher":"Wiley","doi":"10.1002/jqs.2980","usgsCitation":"de Porras, M., Maldonado, A., De Pol-Holz, R., Latorre, C., and Betancourt, J.L., 2017, Late Quaternary environmental dynamics in the Atacama Desert reconstructed from rodent midden pollen records: Journal of Quaternary Science, v. 32, no. 6, p. 665-684, https://doi.org/10.1002/jqs.2980.","productDescription":"20 p.","startPage":"665","endPage":"684","ipdsId":"IP-087325","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atacama Desert ","volume":"32","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-22","publicationStatus":"PW","scienceBaseUri":"5afee805e4b0da30c1bfc3e0","contributors":{"authors":[{"text":"de Porras, M.E.","contributorId":195882,"corporation":false,"usgs":false,"family":"de Porras","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":708574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maldonado, A.","contributorId":195883,"corporation":false,"usgs":false,"family":"Maldonado","given":"A.","email":"","affiliations":[],"preferred":false,"id":708575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Pol-Holz, R.","contributorId":195884,"corporation":false,"usgs":false,"family":"De Pol-Holz","given":"R.","email":"","affiliations":[],"preferred":false,"id":708576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Latorre, C.","contributorId":195885,"corporation":false,"usgs":false,"family":"Latorre","given":"C.","affiliations":[],"preferred":false,"id":708577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":708573,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}