{"pageNumber":"524","pageRowStart":"13075","pageSize":"25","recordCount":165378,"records":[{"id":70217185,"text":"70217185 - 2021 - LA-ICPMS U-Pb dating reveals cassiterite inheritance in the Yazov granite, Eastern Siberia: Implications for tin mineralization","interactions":[],"lastModifiedDate":"2021-08-03T13:26:57.546655","indexId":"70217185","displayToPublicDate":"2021-01-07T09:20:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"LA-ICPMS U-Pb dating reveals cassiterite inheritance in the Yazov granite, Eastern Siberia: Implications for tin mineralization","docAbstract":"

U-Pb dating of cassiterite and zircon from the Yazov granite (Transbaikalia region, Eastern Siberia, Russia) and cassiterite from spatially associated tin mineralization in the Tuyukan ore district in the Tonod uplift was conducted using in situ laser ablation inductively coupled plasma mass spectrometry. These analyses allow comparison of isotopic systematics for both minerals, especially related to transport in granitic magma. These data are also useful for understanding possible genetic links between the granite and the tin mineralization. Most of the U-Pb zircon analyses define a 206Pb/238U age of 719 ± 15 Ma for the granite; in addition, several zircon cores define an inheritance age of 1839 ± 21 Ma. U-Pb data for 10 nearly concordant analyses of disseminated cassiterite from the same samples yield a 206Pb/238U age of 1838 ± 34 Ma. This is the first documented evidence of cassiterite inheritance in granitic magma. These data indicate the robust character of U-Pb isotope systematics in cassiterite, comparable to that in zircon. The presence of numerous inclusions of cassiterite in zircon from the Yazov granite (revealed by nanotomography) supports the interpretation of inherited cassiterite included during Neoproterozoic zircon crystallization. The data indicate that high tin concentrations in the Yazov granite are due to the incorporation of older cassiterite crystals from country rock, not coeval cassiterite crystallization. Cassiterite samples from two ore occurrences spatially associated with the Yazov granite yield Pb-Pb isochron ages of 1.86–1.82 Ga, indicating that tin mineralization occurred in the Paleoproterozoic, nearly 1 Ga before emplacement of the Yazov granite. Tin mineralization of the ore region is probably related to ~ 1.85 Ga Chuya-Kodar tin-bearing granitic rocks that host tin deposits. These results have broad implications for understanding how critical elements, such as tin, may become enriched in rare-metal granites and how they are related to regional to global geodynamic processes.

","language":"English","publisher":"Springer","doi":"10.1007/s00126-020-01038-9","usgsCitation":"Neymark, L., Holm-Denoma, C.S., Larin, A., Moscati, R.J., and Plotkina, Y., 2021, LA-ICPMS U-Pb dating reveals cassiterite inheritance in the Yazov granite, Eastern Siberia: Implications for tin mineralization: Mineralium Deposita, v. 56, p. 1177-1194, https://doi.org/10.1007/s00126-020-01038-9.","productDescription":"18 p.","startPage":"1177","endPage":"1194","ipdsId":"IP-117908","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":436597,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97WPI1T","text":"USGS data release","linkHelpText":"U-Pb data for inherited cassiterite in "Tin Granites", an example from the Yazov Granite, Eastern Siberia"},{"id":436596,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97WPI1T","text":"USGS data release","linkHelpText":"U-Pb data for inherited cassiterite in "Tin Granites", an example from the Yazov Granite, Eastern Siberia"},{"id":382056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","state":"Siberia","otherGeospatial":"Baikal region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 104.4140625,\n 57.20771009775018\n ],\n [\n 120.2783203125,\n 57.20771009775018\n ],\n [\n 120.2783203125,\n 62.1655019058381\n ],\n [\n 104.4140625,\n 62.1655019058381\n ],\n [\n 104.4140625,\n 57.20771009775018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":807885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":807886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larin, Anatoly","contributorId":247545,"corporation":false,"usgs":false,"family":"Larin","given":"Anatoly","affiliations":[{"id":49576,"text":"IPGG","active":true,"usgs":false}],"preferred":false,"id":807887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":807888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plotkina, Yulia","contributorId":247546,"corporation":false,"usgs":false,"family":"Plotkina","given":"Yulia","email":"","affiliations":[{"id":49576,"text":"IPGG","active":true,"usgs":false}],"preferred":false,"id":807889,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70237935,"text":"70237935 - 2021 - The river corridor’s evolving connectivity of lotic and lentic waters","interactions":[],"lastModifiedDate":"2022-11-01T14:17:55.41193","indexId":"70237935","displayToPublicDate":"2021-01-07T09:09:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"The river corridor’s evolving connectivity of lotic and lentic waters","docAbstract":"

River corridors supply a substantial proportion of the fresh water for societal and ecological needs. Individual functions of flowing (lotic) streams and rivers and ponded (lentic) waterbodies such as lakes and reservoirs are well-studied, but their collective functions are not as well understood. Here we bring together nationally consistent river corridor datasets to characterize the contributions of lotic and lentic features and to estimate changes over the past centuries. High-resolution datasets describing waterbodies across 10 million kilometers of the conterminous U.S. (CONUS) river network were classified by waterbody type and origin (historic vs. human-made or intensively managed), surface areal coverage, and degree of connectivity as estimated by a change in water residence timescale in river corridors. Four centuries of human disturbance drove large swings in river corridor makeup, with a transition toward more lotic systems caused by beaver extirpation and abandonment of waterwheel mill ponds by end of the nineteenth century. The twentieth century saw a vast expansion (49%) in river corridor areal coverage resulting from construction and management of small ponds and reservoirs for drinking water, hydropower, irrigation and livestock watering, and stormwater control. Water residence timescale in river corridors doubled or quadrupled over large areas, and more in specific locations, during the twentieth century as a result of the increased coverage of reservoirs and managed small ponds. Although reservoirs and lakes now dominate river corridor surface areas, we found that the growing number of small ponds impacts a greater proportion of network length through their influence on headwater streams where most water and chemical runoff enters the river corridor. We close with an agenda for integrated modeling of the physical, biogeochemical, and ecological drivers of river corridor functions, trajectories of change, and management opportunities.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2020.580727","usgsCitation":"Harvey, J., and Schmadel, N., 2021, The river corridor’s evolving connectivity of lotic and lentic waters: Frontiers in Water, v. 2, 580727, 17 p., https://doi.org/10.3389/frwa.2020.580727.","productDescription":"580727, 17 p.","ipdsId":"IP-123211","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":453905,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2020.580727","text":"Publisher Index Page"},{"id":436599,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TCH5J7","text":"USGS data release","linkHelpText":"NHD-RC: Extension of NHDPlus Version 2.1 with high-resolution river corridor attributes"},{"id":436598,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TCH5J7","text":"USGS data 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0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmadel, Noah 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856272,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70238836,"text":"70238836 - 2021 - Simulating water and heat transport with freezing and cryosuction in unsaturated soil: Comparing an empirical, semi-empirical and physically-based approach","interactions":[],"lastModifiedDate":"2022-12-14T15:25:50.400448","indexId":"70238836","displayToPublicDate":"2021-01-07T09:05:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Simulating water and heat transport with freezing and cryosuction in unsaturated soil: Comparing an empirical, semi-empirical and physically-based approach","docAbstract":"

Freezing of unsaturated soil is an important process that influences runoff and infiltration in cold-climate regions. We used a simple numerical model to simulate water and heat transport with phase change in unsaturated soil via three different approaches: empirical, semi-empirical and physically based. We compared the performance and parameterization of each approach through testing on three experimental datasets. All approaches reproduced the observed unsaturated freezing process satisfactorily. The empirical cryosuction equation used in this study managed to capture observed cryosuction with a fixed empirical parameter value. The semi-empirical version therefore does not require calibration of a specific frozen soil related parameter. In view of simplicity, small computational demand and accurate performance, all three approaches are suitable for implementation in land-use schemes, catchment scale hydrological models, or multi-dimensional thermo-hydrological models.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2021.103846","usgsCitation":"Stuurop, J.C., van der Zee, S.E., Voss, C., and French, H.K., 2021, Simulating water and heat transport with freezing and cryosuction in unsaturated soil: Comparing an empirical, semi-empirical and physically-based approach: Advances in Water Resources, v. 149, 103846, 16 p., https://doi.org/10.1016/j.advwatres.2021.103846.","productDescription":"103846, 16 p.","ipdsId":"IP-125325","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":453908,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.advwatres.2021.103846","text":"Publisher Index Page"},{"id":410474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"149","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stuurop, Joris C","contributorId":299855,"corporation":false,"usgs":false,"family":"Stuurop","given":"Joris","email":"","middleInitial":"C","affiliations":[{"id":40295,"text":"Norwegian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":858860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Zee, Sjoerd E. A. T. M","contributorId":299856,"corporation":false,"usgs":false,"family":"van der Zee","given":"Sjoerd","email":"","middleInitial":"E. A. T. M","affiliations":[{"id":64966,"text":"Wageningen University, Monash University","active":true,"usgs":false}],"preferred":false,"id":858861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":858862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"French, Helen K","contributorId":299857,"corporation":false,"usgs":false,"family":"French","given":"Helen","email":"","middleInitial":"K","affiliations":[{"id":40295,"text":"Norwegian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":858863,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227088,"text":"70227088 - 2021 - Spatial behavior of northern flying squirrels in the same social network","interactions":[],"lastModifiedDate":"2021-12-29T14:55:12.724313","indexId":"70227088","displayToPublicDate":"2021-01-07T08:53:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1589,"text":"Ethology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial behavior of northern flying squirrels in the same social network","docAbstract":"

North American flying squirrels (Glaucomys spp.) are social species that communally den and exhibit home range overlap. However, observations on home range overlap tend to come from live-trapped individuals and it is unknown whether overlap occurs among individuals belonging to the same social network. Since flying squirrels communally den with familiar individuals, their use of artificial nest boxes allows for the radio-collaring and tracking of squirrels within the same social network. We captured and radio-collared northern flying squirrels (G. sabrinus Shaw) found communally denning in nest boxes in the Appalachian Mountains in the eastern United States. We tracked squirrels captured from the same nest box (i.e., nest box groups) to determine home range overlap and subsequent den sharing between familiar individuals within those nest box groups. We found that amount of home range overlap did not differ between male–male, male–female, and female–female dyads, indicating that non-reproductive females and scrotal males are not territorial at the 95% or 50% home range level. Regardless of sex, all dyads had a significantly higher probability of home range overlap (PHR) at the 95% than the 50% home range level (i.e., overlap between squirrels decreases in core areas of their home range). We also found flying squirrels subsequently denned with familiar individuals during 20.9% of occasions post-collaring. Our study provides important information for understanding space use within flying squirrel social networks. Further work should be conducted to determine space use between familiar individuals including seasonal shifts in space use, degree of individual relatedness, and potential territoriality in females denning with young up to and following juvenile dispersal.

","language":"English","publisher":"Wiley","doi":"10.1111/eth.13130","usgsCitation":"Diggins, C., and Ford, W., 2021, Spatial behavior of northern flying squirrels in the same social network: Ethology, v. 127, no. 5, p. 424-432, https://doi.org/10.1111/eth.13130.","productDescription":"9 p.","startPage":"424","endPage":"432","ipdsId":"IP-123140","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":453910,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/eth.13130","text":"External Repository"},{"id":393581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Diggins, Corinne A.","contributorId":270602,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne A.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":829606,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70217167,"text":"70217167 - 2021 - Coding-Complete Genome Sequence of Avian Orthoavulavirus 16, isolated from Emperor Goose (Anser canagica) feces, Alaska, USA","interactions":[],"lastModifiedDate":"2021-01-08T14:26:54.919518","indexId":"70217167","displayToPublicDate":"2021-01-07T07:44:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5813,"text":"Microbiology Resource Announcements","active":true,"publicationSubtype":{"id":10}},"title":"Coding-Complete Genome Sequence of Avian Orthoavulavirus 16, isolated from Emperor Goose (Anser canagica) feces, Alaska, USA","docAbstract":"

We sequenced the coding-complete genome of an avian orthoavulavirus serotype 16 (AOAV-16) isolate recovered from emperor goose (Anser canagicus) feces collected in Alaska. The detection of AOAV-16 in North America and genomic sequencing of the resultant isolate confirms that the geographic distribution of this virus extends beyond Asia.


","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/MRA.01275-20","usgsCitation":"Reeves, A.B., Killian, M.L., Tanner, M.E., Lagasse, B.J., Ramey, A.M., Stallknecht, D., and Poulson, R., 2021, Coding-Complete Genome Sequence of Avian Orthoavulavirus 16, isolated from Emperor Goose (Anser canagica) feces, Alaska, USA: Microbiology Resource Announcements, v. 10, no. 1, e01275-20, 4 p., https://doi.org/10.1128/MRA.01275-20.","productDescription":"e01275-20, 4 p.","ipdsId":"IP-122983","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":453916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/mra.01275-20","text":"Publisher Index Page"},{"id":382020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":807802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Killian, Mary Lea","contributorId":247507,"corporation":false,"usgs":false,"family":"Killian","given":"Mary","email":"","middleInitial":"Lea","affiliations":[{"id":49560,"text":"National Veterinary Services Laboratories, USDA-APHIS, Ames, Iowa 50010, USA","active":true,"usgs":false}],"preferred":false,"id":807803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanner, Michael E","contributorId":247508,"corporation":false,"usgs":false,"family":"Tanner","given":"Michael","email":"","middleInitial":"E","affiliations":[{"id":49561,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, Georgia 30602, USA","active":true,"usgs":false}],"preferred":false,"id":807804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lagasse, Benjamin Joel 0000-0003-2565-5284","orcid":"https://orcid.org/0000-0003-2565-5284","contributorId":247509,"corporation":false,"usgs":true,"family":"Lagasse","given":"Benjamin","email":"","middleInitial":"Joel","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":807805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":807806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":807807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":807808,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70217200,"text":"70217200 - 2021 - Modeling hydrologic processes associated with soil saturation and debris flow initiation during the September 2013 storm, Colorado Front Range","interactions":[],"lastModifiedDate":"2021-05-13T15:55:57.045834","indexId":"70217200","displayToPublicDate":"2021-01-07T07:11:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Modeling hydrologic processes associated with soil saturation and debris flow initiation during the September 2013 storm, Colorado Front Range","docAbstract":"

Seven days of extreme rainfall during September 2013 produced more than 1100 debris flows in the Colorado Front Range, about 78% of which occurred on south-facing slopes (SFS). Previously published soil moisture (volumetric water content) observations suggest that SFS were wetter than north-facing slopes (NFS) during the event, which contrasts with soil moisture patterns observed during normal conditions. Various causes have been hypothesized for the preferential saturation of SFS, but those hypotheses remain largely untested. Here, we analyze the soil moisture patterns using additional soil moisture observations, determine the hydrologic processes controlling the preferential saturation of SFS, and evaluate the importance of soil moisture in predicting the debris flow initiation sites. Soil moisture patterns are simulated using the Equilibrium Moisture from Topography, Vegetation, and Soil (EMT + VS) model. Five hypotheses are tested that may have influenced the soil moisture reversal including higher rainfall rates, lower interception rates, lower saturated water content, thinner soils, and reduced deep drainage on SFS. The EMT + VS model is coupled with an infinite slope stability model to produce factor of safety maps. The hypotheses are tested by comparing the modeled soil moisture to soil moisture observations and the debris flow initiation sites. The results suggest that differences in interception and deep drainage between SFS and NFS were primarily responsible for producing wetter SFS, but the soil moisture pattern likely played a smaller role than vegetation and slope in determining where debris flows initiated. The final model predicts instability at approximately 72% of the observed debris flow initiation sites.

","language":"English","publisher":"Springer","doi":"10.1007/s10346-020-01582-5","usgsCitation":"Timilsina, S., Niemann, J.D., Rathburn, S.L., Rengers, F.K., and Nelson, P.A., 2021, Modeling hydrologic processes associated with soil saturation and debris flow initiation during the September 2013 storm, Colorado Front Range: Landslides, v. 18, p. 1741-1759, https://doi.org/10.1007/s10346-020-01582-5.","productDescription":"19 p.","startPage":"1741","endPage":"1759","ipdsId":"IP-122076","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467260,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10217/197344","text":"External Repository"},{"id":382086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Ft. Collins, Boulder","otherGeospatial":"Boulder River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.72143554687499,\n 39.90973623453719\n ],\n [\n -104.8974609375,\n 39.90973623453719\n ],\n [\n -104.8974609375,\n 40.66397287638688\n ],\n [\n -105.72143554687499,\n 40.66397287638688\n ],\n [\n -105.72143554687499,\n 39.90973623453719\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Timilsina, Sujana","contributorId":247584,"corporation":false,"usgs":false,"family":"Timilsina","given":"Sujana","email":"","affiliations":[{"id":49584,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, USA","active":true,"usgs":false}],"preferred":false,"id":807962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niemann, Jeffrey D. 0000-0002-2988-0879","orcid":"https://orcid.org/0000-0002-2988-0879","contributorId":247585,"corporation":false,"usgs":false,"family":"Niemann","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[{"id":49584,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, USA","active":true,"usgs":false}],"preferred":false,"id":807963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rathburn, Sara L.","contributorId":140606,"corporation":false,"usgs":false,"family":"Rathburn","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":807964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Peter A.","contributorId":195598,"corporation":false,"usgs":false,"family":"Nelson","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":807966,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217190,"text":"70217190 - 2021 - Geology and genesis of the Shalipayco evaporite-related Mississippi Valley-type Zn–Pb deposit, Central Peru: 3D geological modeling and C–O–S–Sr isotope constraints","interactions":[],"lastModifiedDate":"2021-10-18T14:00:27.693586","indexId":"70217190","displayToPublicDate":"2021-01-07T07:04:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Geology and genesis of the Shalipayco evaporite-related Mississippi Valley-type Zn–Pb deposit, Central Peru: 3D geological modeling and C–O–S–Sr isotope constraints","docAbstract":"

The Shalipayco Zn–Pb deposit, in central Peru, is composed of several stratabound orebodies, the largest of which are the Resurgidora and Intermedios, contained in carbonate rocks of the Upper Triassic Chambará Formation, Pucará group. Petrography suggests that a single ore-forming episode formed sphalerite and galena within vugs, open spaces, and fractures. Three-dimensional (3D) geological modeling has allowed division of the Chambará Formation into four members (Chambará I, II, III, and IV) that better define lithological controls on sulfide formation. Diagenetic replacement of evaporite minerals with the organic matter (OM) presence likely generated secondary porosity and H2S accumulation by bacterial sulfate reduction (BSR), providing ground preparation for the later Zn–Pb mineralizing event. The least-altered host rocks have C–O isotope compositions of 1.8 ± 0.1‰ (VPDB) and 29.9 ± 2.1‰ (VSMOW), respectively, within the Triassic marine carbonate ranges. Early dolomite contains lighter C–O composition (1.1 ± 0.9 and 23.8 ± 2.9‰, respectively) consistent with OM decomposition during burial diagenesis. Post-mineralization calcite has still lighter C–O composition (− 5.1 and 13.3‰, respectively), suggesting meteoric water that had migrated through organic-rich strata. The strontium isotopes of Mitu group basalts (0.709654–0.719669) indicate it as a possible, but not the unique source of strontium and probably of other metals. Highly negative sulfide sulfur isotope values (− 23.3 to − 6.2‰ (VCDT)) indicate a major component of the ore sulfur derived ultimately from BSR. However, multiple lines of evidence suggest that preexisting H2S underwent thermochemical redox cycling prior to ore formation. The influx of hot metalliferous brines to dolomitized zones containing trapped H2S is the preferred model for ore deposition at Shalipayco.

","language":"English","publisher":"Springer","doi":"10.1007/s00126-020-01029-w","usgsCitation":"de Oliveira, S.B., Johnson, C.A., Juliani, C., Monteiro, L.V., Leach, D.L., and Caran, M.G., 2021, Geology and genesis of the Shalipayco evaporite-related Mississippi Valley-type Zn–Pb deposit, Central Peru: 3D geological modeling and C–O–S–Sr isotope constraints: Mineralium Deposita, v. 56, p. 1543-1562, https://doi.org/10.1007/s00126-020-01029-w.","productDescription":"20 p.","startPage":"1543","endPage":"1562","ipdsId":"IP-120554","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":382082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.640625,\n -11.695272733029402\n ],\n [\n -74.267578125,\n -11.695272733029402\n ],\n [\n -74.267578125,\n -9.96885060854611\n ],\n [\n -76.640625,\n -9.96885060854611\n ],\n [\n -76.640625,\n -11.695272733029402\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"de Oliveira, Saulo B 0000-0002-2149-1297","orcid":"https://orcid.org/0000-0002-2149-1297","contributorId":220732,"corporation":false,"usgs":false,"family":"de Oliveira","given":"Saulo","email":"","middleInitial":"B","affiliations":[{"id":40261,"text":"Nexa Resources","active":true,"usgs":false}],"preferred":false,"id":807911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, 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":807912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Juliani, Caetano 0000-0002-0128-993X","orcid":"https://orcid.org/0000-0002-0128-993X","contributorId":220734,"corporation":false,"usgs":false,"family":"Juliani","given":"Caetano","email":"","affiliations":[{"id":40262,"text":"Universidade de Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":807913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monteiro, Lena VS 0000-0003-3999-026X","orcid":"https://orcid.org/0000-0003-3999-026X","contributorId":220735,"corporation":false,"usgs":false,"family":"Monteiro","given":"Lena","email":"","middleInitial":"VS","affiliations":[{"id":40262,"text":"Universidade de Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":807914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leach, David L 0000-0001-6487-5584","orcid":"https://orcid.org/0000-0001-6487-5584","contributorId":220733,"corporation":false,"usgs":false,"family":"Leach","given":"David","email":"","middleInitial":"L","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":807915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caran, Marianna G.N.","contributorId":247563,"corporation":false,"usgs":false,"family":"Caran","given":"Marianna","email":"","middleInitial":"G.N.","affiliations":[{"id":49578,"text":"Universidade de Sao Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":807916,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215502,"text":"70215502 - 2021 - Modeling structural mechanics of oyster reef self-organization including environmental constraints and community interactions","interactions":[],"lastModifiedDate":"2021-01-22T21:57:13.479498","indexId":"70215502","displayToPublicDate":"2021-01-06T15:49:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling structural mechanics of oyster reef self-organization including environmental constraints and community interactions","docAbstract":"

Self-organization is a process of establishing and reinforcing local structures through feedbacks between internal population dynamics and external factors. In reef-building systems, substrate is collectively engineered by individuals that also occupy it and compete for space. Reefs are constrained spatially by the physical environment, and by mortality, which reduces production but exposes substrate for recruits. Reef self-organization therefore depends on efficient balancing of production and occupancy of substrate. To examine this, we develop a three-dimensional individual-based model (IBM) of oyster reef mechanics. Shell substrate is grown by individuals as valves, accumulates at the reef level, and degrades following mortality. Single restoration events and subsequent dynamics are simulated for a case study in South Carolina (USA). Variability in model processes is included on recruitment, spatial environmental constraints, and predation, over multiple independent runs and five predator community scenarios. The main goal for this study is to summarize trends in dynamics that are robust across this uncertainty, and from these generate new hypotheses and predictions for future studies. Simulation results demonstrate three phases following restoration: initial transient dynamics with considerable shell loss, followed by growth and saturation of the live population, and then saturation of settlement habitat several years later. Over half of simulations recoup initial shell losses as populations grow, while others continue in decline. The balance between population density, substrate supporting the reef, and exposed surfaces for settlement is mediated by overall population size and size structure, presence of predators, and relative amounts of live individuals and intact dead shells. The efficiency of settlement substrate production improves through time as population size structure becomes more complex, and the population of dead valves accumulates.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2020.109389","usgsCitation":"Yurek, S., Eaton, M.J., Lavaud, R., Laney, R.W., DeAngelis, D., Pine, W.E., LaPeyre, M.K., Martin, J., Frederick, P., Wang, H., Lowe, M.R., Johnson, F., Camp, E.V., and Mordecai, R., 2021, Modeling structural mechanics of oyster reef self-organization including environmental constraints and community interactions: Ecological Modelling, v. 440, 109389, 15 p., https://doi.org/10.1016/j.ecolmodel.2020.109389.","productDescription":"109389, 15 p.","ipdsId":"IP-113110","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":382524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"440","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216733,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":802527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavaud, Romain","contributorId":200114,"corporation":false,"usgs":false,"family":"Lavaud","given":"Romain","email":"","affiliations":[],"preferred":false,"id":802528,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laney, R. Wilson","contributorId":243552,"corporation":false,"usgs":false,"family":"Laney","given":"R.","email":"","middleInitial":"Wilson","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":802529,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802530,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pine, William E. III","contributorId":139959,"corporation":false,"usgs":false,"family":"Pine","given":"William","suffix":"III","email":"","middleInitial":"E.","affiliations":[{"id":13332,"text":"Uni. of Florida Department of Wildlife Ecology and Conservation","active":true,"usgs":false}],"preferred":false,"id":802531,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802532,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802533,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Frederick, Peter C","contributorId":150013,"corporation":false,"usgs":false,"family":"Frederick","given":"Peter C","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":802534,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":221902,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802535,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lowe, Michael R. 0000-0002-4645-9429","orcid":"https://orcid.org/0000-0002-4645-9429","contributorId":10539,"corporation":false,"usgs":true,"family":"Lowe","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":802536,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, Fred 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":217602,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802537,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Camp, Edward V.","contributorId":173095,"corporation":false,"usgs":false,"family":"Camp","given":"Edward","email":"","middleInitial":"V.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":802538,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mordecai, Rua","contributorId":243553,"corporation":false,"usgs":false,"family":"Mordecai","given":"Rua","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":802539,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70228333,"text":"70228333 - 2021 - Movements of selected minnows between the lower Yellowstone River and its tributaries","interactions":[],"lastModifiedDate":"2022-02-09T17:39:26.943825","indexId":"70228333","displayToPublicDate":"2021-01-06T11:31:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Movements of selected minnows between the lower Yellowstone River and its tributaries","docAbstract":"

Reduced population connectivity has been implicated as a cause of decreased distributions and abundances of many Great Plains fishes. However, scant empirical evidence quantifying movement and relating the contribution of spatial linkages to population abundances and resilience exists. We used otolith microchemistry analysis to characterize the movements of western silvery minnows (Hybognathus argyritis Girard, 1856), flathead chubs (Platygobio gracilis (Richardson, 1836)), and sand shiners (Notropis stramineus (Cope, 1865)) between the Yellowstone River and its tributaries. Sixty-nine percent of western silvery minnows, 65% of flathead chubs, and 42% of sand shiners moved between the Yellowstone River and tributaries. Mean total number of interchanges was highest among western silvery minnows (4.8 interchanges/mover), intermediate among flathead chubs (4.3 interchanges/mover), and lowest among sand shiners (1.4 interchanges/mover; P < 0.01). Natal movements were rare, but juvenile movements were common and frequent among all three species. Movements between main-stem and tributary habitats are probably prominent facets of the life cycles of other Great Plains minnows. Therefore, connectivity among such habitats should be a high conservation priority to enhance the long-term viability of such fishes.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2020-0040","usgsCitation":"Duncan, M.B., Bramblett, R.G., and Zale, A.V., 2021, Movements of selected minnows between the lower Yellowstone River and its tributaries: Canadian Journal of Zoology, v. 99, no. 1, p. 45-56, https://doi.org/10.1139/cjz-2020-0040.","productDescription":"12 p.","startPage":"45","endPage":"56","ipdsId":"IP-110520","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains, Yellowstone River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.082763671875,\n 45.00365115687186\n ],\n [\n -111.082763671875,\n 44.972570682240644\n ],\n [\n -111.07177734375,\n 42.98053954751642\n ],\n [\n -104.051513671875,\n 42.96446257387128\n ],\n [\n -104.04052734375,\n 48.23930899024907\n ],\n [\n -111.02783203125,\n 45.96642454131025\n ],\n [\n -111.082763671875,\n 45.00365115687186\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"99","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duncan, Michael B.","contributorId":169856,"corporation":false,"usgs":false,"family":"Duncan","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":833803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramblett, Robert G.","contributorId":169857,"corporation":false,"usgs":false,"family":"Bramblett","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":833802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":244099,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":833804,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70218473,"text":"70218473 - 2021 - Pathology of mouse (Mus musculus) predation on Laysan albatross (Phoebastria immutabilis) on Midway Atoll National Wildlife Refuge","interactions":[],"lastModifiedDate":"2021-06-01T17:24:06.048878","indexId":"70218473","displayToPublicDate":"2021-01-06T09:56:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Pathology of mouse (Mus musculus) predation on Laysan albatross (Phoebastria immutabilis) on Midway Atoll National Wildlife Refuge","title":"Pathology of mouse (Mus musculus) predation on Laysan albatross (Phoebastria immutabilis) on Midway Atoll National Wildlife Refuge","docAbstract":"

Invasive rodents on islands have adverse effects on native birds in island ecosystems, and rats are the most common culprits. Recently, house mice (Mus musculus) in the South Atlantic were found preying on three species of albatross chicks. Here, we show that house mice can also prey on nesting adult Laysan Albatross (Phoebastria immutabilis) on Midway Atoll National Wildlife Refuge (US). In contrast to mouse attacks on albatross in the South Atlantic, where mice targeted the rump and crown of chicks, on Midway, mice targeted nesting adults mainly on the back. For both regions, the outcome was similar with reduced nesting success. In the case of Midway, reduced nesting success was due to nest abandonment or mortality of one or both parents because of secondary bacterial infections. Mouse-induced mortality of adult albatross has the potential to have a more potent demographic effect because of their much higher natural survivorship once they reach adulthood.

","language":"English","publisher":"Wildlife Diseases Association","doi":"10.7589/JWD-D-20-00065","usgsCitation":"Work, T.M., Duhr, M., and Flint, B., 2021, Pathology of mouse (Mus musculus) predation on Laysan albatross (Phoebastria immutabilis) on Midway Atoll National Wildlife Refuge: Journal of Wildlife Diseases, v. 57, no. 17, p. 125-131, https://doi.org/10.7589/JWD-D-20-00065.","productDescription":"7 p.","startPage":"125","endPage":"131","ipdsId":"IP-119739","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":453921,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/jwd-d-20-00065","text":"Publisher Index Page"},{"id":436600,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B34MZK","text":"USGS data release","linkHelpText":"Mouse predation on Laysan albatross"},{"id":383689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Midway Atoll","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 177.35967636108398,\n 28.181283504662975\n ],\n [\n 177.39898681640625,\n 28.181283504662975\n ],\n [\n 177.39898681640625,\n 28.21320562333516\n ],\n [\n 177.35967636108398,\n 28.21320562333516\n ],\n [\n 177.35967636108398,\n 28.181283504662975\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":811119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duhr, Meg","contributorId":252915,"corporation":false,"usgs":false,"family":"Duhr","given":"Meg","email":"","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":811120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Beth","contributorId":252916,"corporation":false,"usgs":false,"family":"Flint","given":"Beth","email":"","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":811121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263122,"text":"70263122 - 2021 - Efficient genotyping with backwards compatibility: Converting a legacy microsatellite panel for muskellunge (Esox masquinongy) to genotyping-by-sequencing chemistry","interactions":[],"lastModifiedDate":"2025-01-30T15:22:34.220838","indexId":"70263122","displayToPublicDate":"2021-01-06T09:19:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Efficient genotyping with backwards compatibility: Converting a legacy microsatellite panel for muskellunge (Esox masquinongy) to genotyping-by-sequencing chemistry","title":"Efficient genotyping with backwards compatibility: Converting a legacy microsatellite panel for muskellunge (Esox masquinongy) to genotyping-by-sequencing chemistry","docAbstract":"

Microsatellites have been a staple of population genetics research for over three decades, and many large datasets have been generated with these markers. Microsatellites have been used, for example, to conduct genetic monitoring and construct large multigeneration pedigrees as well as genotype thousands of individuals from a given species to create high-resolution baselines of spatial genetic structure. However, the capillary electrophoresis (CE) approach used to genotype microsatellites is inefficient compared to newer genotyping-by-sequencing (GBS) approaches, and researchers have begun transitioning away from CE. Backward compatibility between GBS and CE would facilitate a seamless transition to a more efficient chemistry, while ensuring that research based on CE panels could continue. Here, we explore the feasibility of converting a legacy panel of 15 microsatellites developed for muskellunge (Esox masquinongy) from CE to GBS chemistry. Muskellunge are an important sportfish in the Great Lakes region, and the existing microsatellite panel has been used to genotype thousands of samples to develop a region-wide baseline of genetic structure. We successfully converted all 15 microsatellites to GBS chemistry. GBS produced high genotyping rates (98%) and had high concordance with CE microsatellite genotypes (99%). Conversion to GBS required redesign of some primers and pairs to shorten amplicon length and adjust melting temperatures, optimization of primer concentrations, and comparisons with CE genotypes to optimize GBS genotyping parameters; however, none of these steps were especially onerous. Our results demonstrate that it is highly feasible to convert legacy CE panels to GBS, ensuring seamless continuation of important, often long-term research.

","language":"English","publisher":"Springer","doi":"10.1007/s12686-020-01185-1","usgsCitation":"Gruenthal, K., and Larson, W., 2021, Efficient genotyping with backwards compatibility: Converting a legacy microsatellite panel for muskellunge (Esox masquinongy) to genotyping-by-sequencing chemistry: Conservation Genetics Resources, v. 13, p. 151-159, https://doi.org/10.1007/s12686-020-01185-1.","productDescription":"9 p.","startPage":"151","endPage":"159","ipdsId":"IP-122376","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2021-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Gruenthal, Kristen","contributorId":349610,"corporation":false,"usgs":false,"family":"Gruenthal","given":"Kristen","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":925621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925620,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70219450,"text":"70219450 - 2021 - Genetic connectivity of the West Indian manatee in the southern range and limited evidence of hybridization with Amazonian manatees","interactions":[],"lastModifiedDate":"2021-04-08T13:09:52.102394","indexId":"70219450","displayToPublicDate":"2021-01-06T08:07:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Genetic connectivity of the West Indian manatee in the southern range and limited evidence of hybridization with Amazonian manatees","docAbstract":"

The Antillean subspecies of the West Indian manatee is classified as endangered by the International Union for the Conservation of Nature (IUCN) Red List. In Brazil, the manatee population is listed as endangered with an estimated population size of 500–1,000. Historic hunting, recent habitat degradation, and fisheries bycatch have decreased the population size. The Amazonian manatee is listed as vulnerable by the IUCN with unknown population sizes within Brazil. The Antillean manatee occurs in sympatry with the Amazonian manatee in Brazil and hybridization has been previously indicated. To provide information on the genetic structure, diversity, and degree of hybridization in the sympatric zone near the Amazon River mouth, the mitochondrial DNA control region and 13 nuclear microsatellite markers were assessed on the two species. Samples were analyzed from the Antillean subspecies across its distribution in Brazil (n = 78) and from the Amazonian species (n = 17) at the Amazon River mouth and inland mainstem river. To assess the previously defined evolutionary significant units of Antillean manatees in the area, an additional 11 samples from Venezuela and Guyana were included. The Antillean manatee was found to be a single population in Brazil and had lower than average number of alleles (3.00), expected heterozygosity (0.34), and haplotype diversity (0.15) when compared to many other manatee populations. The low values may be influenced by the small population size and extended pressures from anthropogenic threats. Gene flow was identified with Venezuela/Guyana in admixed Antillean Brazil samples, although the two populations were found to be moderately divergent. The nuclear loci in Venezuela/Guyana Antillean manatee samples indicated high differentiation from the samples collected in the Amazon River (FST = 0.35 and RST = 0.18, p = 0.0001). No indication of nuclear hybridization was found except for a single sample, “Poque” that had been identified previously. The distribution of Antillean manatees in Brazil is extensive and the areas with unique habitat and threats would benefit from independent management and conservation actions. Gene flow, resulting in genetic diversity and long-term population stability, could be improved in the southern range through habitat restoration, and the establishments of travel corridors and protected areas, which are particularly important for successful parturition and neonatal calf survival.

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Health","active":true,"usgs":false}],"preferred":false,"id":809671,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70217746,"text":"70217746 - 2021 - Isotopic composition of natural and synthetic chlorate (δ18O, Δ17O, δ37Cl, 36Cl/Cl): Methods and initial results","interactions":[],"lastModifiedDate":"2021-02-01T14:22:27.208718","indexId":"70217746","displayToPublicDate":"2021-01-06T06:41:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Isotopic composition of natural and synthetic chlorate (δ18O, Δ17O, δ37Cl, 36Cl/Cl): Methods and initial results","title":"Isotopic composition of natural and synthetic chlorate (δ18O, Δ17O, δ37Cl, 36Cl/Cl): Methods and initial results","docAbstract":"

Natural chlorate (ClO3−) is widely distributed in terrestrial and extraterrestrial environments. To improve understanding of the origins and distribution of ClO3−, we developed and tested methods to determine the multi-dimensional isotopic compositions (δ18O, Δ17O, δ37Cl, 36Cl/Cl) of ClO3− and then applied the methods to samples of natural nitrate-rich caliche-type salt deposits in the Atacama Desert, Chile, and Death Valley, USA. Tests with reagents and artificial mixed samples indicate stable-isotope ratios were minimally affected by the purification processes. Chlorate extracted from Atacama samples had δ18O = +7.0 to +11.1‰, Δ17O = +5.7 to +6.4‰, δ37Cl = −1.4 to +1.3‰, and 36Cl/Cl = 48 × 10−15 to 104 × 10−15. Chlorate from Death Valley samples had δ18O = −6.9 to +1.6‰, Δ17O = +0.4 to +2.6‰, δ37Cl = +0.8 to +1.0‰, and 36Cl/Cl = 14 × 10−15 to 44 × 10−15. Positive Δ17O values of natural ClO3− indicate that its production involved reaction with O3, while its Cl isotopic composition is consistent with a tropospheric or near-surface source of Cl. The Δ17O and δ18O values of natural ClO3− are positively correlated, as are those of ClO4− and NO3− from the same localities, possibly indicating variation in the relative contributions of O3 as a source of O in the formation of the oxyanions. Additional isotopic analyses of ClO3− could provide stronger constraints on its production mechanisms and/or post-formational alterations, with applications for environmental forensics, global biogeochemical cycling of Cl, and the origins of oxyanions detected on Mars.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2021.129586","usgsCitation":"Jackson, W., Brundrett, M., Bohlke, J., Hatzinger, P.B., Mroczkowski, S.J., and Sturchio, N.C., 2021, Isotopic composition of natural and synthetic chlorate (δ18O, Δ17O, δ37Cl, 36Cl/Cl): Methods and initial results: Chemosphere, v. 274, 129586, 9 p., https://doi.org/10.1016/j.chemosphere.2021.129586.","productDescription":"129586, 9 p.","ipdsId":"IP-124361","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":453925,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2021.129586","text":"Publisher Index Page"},{"id":382832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"274","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jackson, W Andrew","contributorId":191265,"corporation":false,"usgs":false,"family":"Jackson","given":"W Andrew","affiliations":[],"preferred":false,"id":809447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brundrett, Meaghan","contributorId":191275,"corporation":false,"usgs":false,"family":"Brundrett","given":"Meaghan","affiliations":[],"preferred":false,"id":809448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":809449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatzinger, Paul B.","contributorId":149376,"corporation":false,"usgs":false,"family":"Hatzinger","given":"Paul","email":"","middleInitial":"B.","affiliations":[{"id":17721,"text":"Shaw Environmental, Princeton, NJ","active":true,"usgs":false}],"preferred":false,"id":809450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mroczkowski, Stanley J. 0000-0001-8026-6025 smroczko@usgs.gov","orcid":"https://orcid.org/0000-0001-8026-6025","contributorId":2628,"corporation":false,"usgs":true,"family":"Mroczkowski","given":"Stanley","email":"smroczko@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":809451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":809452,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217003,"text":"70217003 - 2021 - Monitoring the results of stream corridor restoration","interactions":[],"lastModifiedDate":"2021-01-25T17:14:55.37332","indexId":"70217003","displayToPublicDate":"2021-01-05T11:04:44","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Monitoring the results of stream corridor restoration","docAbstract":"

Often overlooked and underfunded, ecological monitoring is an essential component of stream-restoration work. It helps practitioners to identify successful restoration practices, detect ineffective ones, and adjust their adaptive-management activities to improve efficacy (Bernhardt and Palmer 2011). Monitoring, along with research and modeling, are the three legs of the scientific stool that support ecosystem restoration and management. Monitoring tells us what is happening, research tells us why and how it is happening, and modeling provides insights about what can happen under different management alternatives.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Renewing our rivers: Stream corridor restoration in dryland regions","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of Arizona Press","usgsCitation":"Bunting, D., Barton, A.M., Bushman, B., Chernoff, B., Crawford, K., Dean, D.J., Gonzalez, E., Haney, J., Hinojosa-Huerta, O., Poulos, H.M., Renfrow, J., Richter, H., Sifuentes Lugo, C.A., Stromberg, J.C., Turner, D., Urbanczyk, K., and Briggs, M.K., 2021, Monitoring the results of stream corridor restoration, chap. 7 of Renewing our rivers: Stream corridor restoration in dryland regions, p. 313-390.","productDescription":"78 p.","startPage":"313","endPage":"390","ipdsId":"IP-118426","costCenters":[{"id":568,"text":"Southwest Biological Science 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Center","active":true,"usgs":true}],"preferred":true,"id":808971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gonzalez, Eduardo","contributorId":225181,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Eduardo","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":808972,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haney, Jeanmarie","contributorId":13192,"corporation":false,"usgs":true,"family":"Haney","given":"Jeanmarie","email":"","affiliations":[],"preferred":false,"id":808973,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hinojosa-Huerta, O.","contributorId":98445,"corporation":false,"usgs":true,"family":"Hinojosa-Huerta","given":"O.","affiliations":[],"preferred":false,"id":808974,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Poulos, Helen M.","contributorId":75271,"corporation":false,"usgs":true,"family":"Poulos","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":808975,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Renfrow, J","contributorId":245871,"corporation":false,"usgs":false,"family":"Renfrow","given":"J","email":"","affiliations":[{"id":49357,"text":"unknown (shows up at new 11th author in citation)","active":true,"usgs":false}],"preferred":false,"id":808976,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Richter, Holly E.","contributorId":26238,"corporation":false,"usgs":true,"family":"Richter","given":"Holly E.","affiliations":[],"preferred":false,"id":808977,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sifuentes Lugo, Carlos A.","contributorId":248363,"corporation":false,"usgs":false,"family":"Sifuentes Lugo","given":"Carlos","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":808978,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stromberg, Juliet C.","contributorId":52280,"corporation":false,"usgs":true,"family":"Stromberg","given":"Juliet","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":808979,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Turner, Dale S.","contributorId":63742,"corporation":false,"usgs":true,"family":"Turner","given":"Dale S.","affiliations":[],"preferred":false,"id":808980,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Urbanczyk, K.","contributorId":40151,"corporation":false,"usgs":true,"family":"Urbanczyk","given":"K.","email":"","affiliations":[],"preferred":false,"id":808981,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Briggs, Mark K.","contributorId":177076,"corporation":false,"usgs":false,"family":"Briggs","given":"Mark","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":808982,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70219509,"text":"70219509 - 2021 - Spatiotemporal patterns of northern lake formation since the last glacial maximum","interactions":[],"lastModifiedDate":"2021-04-12T15:48:01.102009","indexId":"70219509","displayToPublicDate":"2021-01-05T10:43:27","publicationYear":"2021","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":"Spatiotemporal patterns of northern lake formation since the last glacial maximum","docAbstract":"The northern mid- to high-latitudes have the highest total number and area of lakes on Earth. Lake origins in these regions are diverse, but to a large extent coupled to glacial, permafrost, and peatland histories. The synthesis of 1207 northern lake initiation records presented here provides an analog for rapid landscape-level change in response to climate warming, and its subsequent attenuation by physical and biological feedback mechanisms. Our compilation reveals two peaks in northern lake formation, 13,200 and 10,400 years ago, both following rapid increases in North Atlantic air temperature. Placing our findings within the context of existing paleoenvironmental records, we suggest that solar insolation-driven changes in climate (temperature and water balance) that led to deglaciation and permafrost thaw likely contributed to high rates of northern lake formation during the last Deglacial period. However, further landscape development and stabilization dramatically reduced rates of lake formation beginning ∼10,000 years ago. This suggests that temperature alone may not control future lake development; rather, multiple factors must align to enable a landscape to respond with an increase in lake area. We propose that land surfaces strongly geared toward increased lake formation were highly conditioned by glaciation. Thus, it is unlikely that warming this century will cause lake formation as rapid or as widespread as that during the last Deglacial period.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2020.106773","usgsCitation":"Brosius, L.S., Walter Anthony, K., Treat, C., Lenz, J., Jones, M.C., Bret-Harte, M., and Grosse, G., 2021, Spatiotemporal patterns of northern lake formation since the last glacial maximum: Quaternary Science Reviews, v. 253, 106773, 12 p., https://doi.org/10.1016/j.quascirev.2020.106773.","productDescription":"106773, 12 p.","ipdsId":"IP-083700","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":453927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://pure.au.dk/portal/en/publications/5826b148-26a7-454f-a23d-311e64c9d43c","text":"Publisher Index Page"},{"id":385020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"253","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brosius, L. S.","contributorId":257235,"corporation":false,"usgs":false,"family":"Brosius","given":"L.","email":"","middleInitial":"S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":813839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walter Anthony, K. M.","contributorId":257237,"corporation":false,"usgs":false,"family":"Walter Anthony","given":"K. M.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":813841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Treat, C. C.","contributorId":257236,"corporation":false,"usgs":false,"family":"Treat","given":"C. C.","affiliations":[{"id":51984,"text":"University of Finland","active":true,"usgs":false}],"preferred":false,"id":813840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lenz, J.","contributorId":257238,"corporation":false,"usgs":false,"family":"Lenz","given":"J.","email":"","affiliations":[{"id":51985,"text":"Alfred Wegener Institut Potsdam","active":true,"usgs":false}],"preferred":false,"id":813842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Miriam C. 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":257239,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":813843,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bret-Harte, M. Syndonia","contributorId":201219,"corporation":false,"usgs":false,"family":"Bret-Harte","given":"M. Syndonia","affiliations":[],"preferred":false,"id":813958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grosse, G.","contributorId":192805,"corporation":false,"usgs":false,"family":"Grosse","given":"G.","email":"","affiliations":[],"preferred":false,"id":813844,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70218472,"text":"70218472 - 2021 - Broader impacts for ecologists: Biological soil crust as a model system for education","interactions":[],"lastModifiedDate":"2021-03-01T16:24:24.743096","indexId":"70218472","displayToPublicDate":"2021-01-05T10:19:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Broader impacts for ecologists: Biological soil crust as a model system for education","docAbstract":"

Biological soil crusts (biocrusts) are a complex community of algae, cyanobacteria, lichens, bryophytes, and assorted bacteria, fungi, archaea, and bacteriophages that colonize the soil surface. Biocrusts are particularly common in drylands and are found in arid and semiarid ecosystems worldwide. While diminutive in size, biocrusts often cover large terrestrial areas, provide numerous ecosystem benefits, enhance biodiversity, and are found in multiple configurations and assemblages across different climate and disturbance regimes. Biocrusts have been a focus of many ecologists, especially those working in semiarid and arid lands, as biocrusts are foundational community members, play fundamental roles in ecosystem processes, and offer rare opportunities to study biological interactions at small and large spatial scales. Due to these same characteristics, biocrusts have the potential to serve as an excellent teaching tool. The purpose of this paper is to demonstrate the utility of biocrust communities as a model system in science education. Functioning as portable, dynamic mini ecosystems, biocrusts can be used to teach about organisms, biodiversity, biotic interactions, abiotic controls, ecosystem processes, and even global change, and can be easy to use in nearly every classroom setup. For example, education principles, such as evolution and adaptation to stress, or structure and function (patterns and processes) can be applied by bringing biocrusts into the classroom as a teaching tool. In addition, discussing the utility of biocrusts in the classroom – including theory, hypothesis testing, experimentation, and hands-on learning – this document also provides tips and resources for developing education tools and activities geared toward impactful learning.

","language":"English","publisher":"Frontiers Media SA","doi":"10.3389/fmicb.2020.577922","usgsCitation":"Faist, A.M., Antoninka, A.J., Barger, N.N., Bowker, M., Chaudhary, V.B., Havrilla, C.A., Huber-Saanwald, E., Reed, S., and Weber, B., 2021, Broader impacts for ecologists: Biological soil crust as a model system for education: Frontiers in Microbiology, v. 11, 577922, 6 p., https://doi.org/10.3389/fmicb.2020.577922.","productDescription":"577922, 6 p.","ipdsId":"IP-124195","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":453931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2020.577922","text":"Publisher Index Page"},{"id":383690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2021-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Faist, Alasha M.","contributorId":252912,"corporation":false,"usgs":false,"family":"Faist","given":"Alasha","email":"","middleInitial":"M.","affiliations":[{"id":50467,"text":"Department of Animal and Range Sciences, New Mexico State University, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":811110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antoninka, Anita J.","contributorId":240674,"corporation":false,"usgs":false,"family":"Antoninka","given":"Anita","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":811111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barger, Nichole N.","contributorId":193039,"corporation":false,"usgs":false,"family":"Barger","given":"Nichole","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":811112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowker, Matthew A.","contributorId":240683,"corporation":false,"usgs":false,"family":"Bowker","given":"Matthew A.","affiliations":[],"preferred":false,"id":811113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaudhary, V. Bala","contributorId":252913,"corporation":false,"usgs":false,"family":"Chaudhary","given":"V.","email":"","middleInitial":"Bala","affiliations":[{"id":50468,"text":"Department of Environmental Science and Studies, DePaul University Chicago IL, USA","active":true,"usgs":false}],"preferred":false,"id":811114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Havrilla, Caroline A. 0000-0003-3913-0980","orcid":"https://orcid.org/0000-0003-3913-0980","contributorId":146326,"corporation":false,"usgs":true,"family":"Havrilla","given":"Caroline","email":"","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":16669,"text":"U of CO, Boulder","active":true,"usgs":false}],"preferred":false,"id":811115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huber-Saanwald, Elisabeth","contributorId":252914,"corporation":false,"usgs":false,"family":"Huber-Saanwald","given":"Elisabeth","email":"","affiliations":[{"id":50469,"text":"División de Ciencias Ambientales, Instituto Potosino de Investigación Científica y Tecnológica, San Luis Potosí, Mexico","active":true,"usgs":false}],"preferred":false,"id":811116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":811117,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weber, Bettina","contributorId":196800,"corporation":false,"usgs":false,"family":"Weber","given":"Bettina","email":"","affiliations":[],"preferred":false,"id":811118,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70229708,"text":"70229708 - 2021 - Drivers of realized satellite tracking duration in marine turtles","interactions":[],"lastModifiedDate":"2022-03-17T13:30:26.92691","indexId":"70229708","displayToPublicDate":"2021-01-05T09:43:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of realized satellite tracking duration in marine turtles","docAbstract":"

Background

Satellite tags have revolutionized our understanding of marine animal movements. However, tags may stop transmitting for many reasons and little research has rigorously examined tag failure. Using a long-term, large-scale, multi-species dataset, we evaluated factors influencing tracking duration of satellite tags to inform study design for future tracking studies.

Methods

We leveraged data on battery status transmitted with location data, recapture events, and number of transmission days to probabilistically quantify multiple potential causes of failure (i.e., battery failure, premature detachment, and tag damage/fouling). We used a combination of logistic regressions and an ordinary linear model including several predictor variables (i.e., tag type, battery life, species, sex, size, and foraging region).

Results

We examined subsets of data from 360 satellite tags encompassing 86,889 tracking days deployed on four species of marine turtles throughout the Gulf of Mexico, Caribbean, and Bahamas from 2008 to 2019. Only 4.1% of batteries died before failure due to other causes. We observed species-specific variation in how long tags remain attached: hawksbills retained 50% of their tags for 1649 days (95% CI 995–1800), loggerheads for 584 days (95% CI 400–690), and green turtles for 294 days (95% CI 198–450). Estimated tracking duration varied by foraging region (Caribbean: 385 days; Bahamas: 356; southern Gulf of Mexico [SGOM]: 276, northern Gulf of Mexico [NGOM]: 177). Additionally, we documented species-specific variation in estimated tracking duration among foraging regions. Based on sensor data, within the Gulf of Mexico, across species, we estimated that 50% of tags began to foul after 83 95% CI (70–120) days.

Conclusions

The main factor that limited tracking duration was tag damage (i.e., fouling and/or antenna breakage). Turtles that spent most of their time in the Gulf of Mexico had shorter tracking durations than those in the Bahamas and Caribbean, with shortest durations observed in the NGOM. Additionally, tracking duration varied by species, likely as a result of behaviors that damage tags. This information will help researchers, tag companies, permitting agencies, and funders better predict expected tracking durations, improving study designs for imperiled marine turtles. Our results highlight the heterogeneity in telemetry device longevity, and we provide a framework for researchers to evaluate telemetry devices with respect to their study objectives.

","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-020-00237-3","usgsCitation":"Hart, K., Guzy, J.C., and Smith, B., 2021, Drivers of realized satellite tracking duration in marine turtles: Movement Ecology, v. 9, 1, 14 p., https://doi.org/10.1186/s40462-020-00237-3.","productDescription":"1, 14 p.","ipdsId":"IP-121629","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":453933,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-020-00237-3","text":"Publisher Index Page"},{"id":436601,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OXCKYI","text":"USGS data release","linkHelpText":"Tracking durations for marine turtles satellite tagged in Gulf of Mexico and Caribbean sites, 2008-2019"},{"id":397153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bahamas, Brazil, Honduras, Mexico, Nicaragua, United States, Virgin Islands","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Biscayne, Buck Island Reef National Monument, Caribbean Sea, Chandeleur Islands, Dry Tortugas, Everglades National Park, Gulf of Mexico, Gulf Shores, Pascagoula, Port Fourchon, Ship Shoal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.91015624999999,\n 26.194876675795218\n ],\n [\n -94.3505859375,\n 17.476432197195518\n ],\n [\n -91.40625,\n 17.853290114098012\n ],\n [\n -89.912109375,\n 20.34462694382967\n ],\n [\n -88.11035156249999,\n 20.3034175184893\n ],\n [\n -84.462890625,\n 14.477234210156519\n ],\n [\n -84.24316406249999,\n 12.039320557540572\n ],\n [\n -71.1474609375,\n 10.531020008464989\n ],\n [\n -67.7197265625,\n 9.579084335882534\n ],\n [\n -59.9853515625,\n 9.015302333420598\n ],\n [\n -57.74414062500001,\n 12.940322128384627\n ],\n [\n -59.45800781249999,\n 18.562947442888312\n ],\n [\n -67.8955078125,\n 19.72534224805787\n ],\n [\n -70.7080078125,\n 22.187404991398775\n ],\n [\n -74.5751953125,\n 23.725011735951796\n ],\n [\n -75.9814453125,\n 26.07652055985697\n ],\n [\n -79.89257812499999,\n 31.57853542647338\n ],\n [\n -80.8154296875,\n 31.50362930577303\n ],\n [\n -86.8798828125,\n 31.090574094954192\n ],\n [\n -90.04394531249999,\n 30.977609093348686\n ],\n [\n -93.4716796875,\n 30.56226095049944\n ],\n [\n -95.44921875,\n 30.107117887092357\n ],\n [\n -98.0859375,\n 27.761329874505233\n ],\n [\n -97.91015624999999,\n 26.194876675795218\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":838044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":838045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Brian J. 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":139672,"corporation":false,"usgs":false,"family":"Smith","given":"Brian J.","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":838046,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217281,"text":"70217281 - 2021 - Toward physics-based nonergodic PSHA: A prototype fully-deterministic seismic hazard model for southern California","interactions":[],"lastModifiedDate":"2021-04-08T14:35:12.118897","indexId":"70217281","displayToPublicDate":"2021-01-05T08:16:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Toward physics-based nonergodic PSHA: A prototype fully-deterministic seismic hazard model for southern California","docAbstract":"

We present a nonergodic framework for probabilistic seismic‐hazard analysis (PSHA) that is constructed entirely of deterministic, physical models. The use of deterministic ground‐motion simulations in PSHA calculations is not new (e.g., CyberShake), but prior studies relied on kinematic rupture generators to extend empirical earthquake rupture forecasts. Fully dynamic models, which simulate rupture nucleation and propagation of static and dynamic stresses, are still computationally intractable for the large simulation domains and many seismic cycles required to perform PSHA. Instead, we employ the Rate‐State earthquake simulator (RSQSim) to efficiently simulate hundreds of thousands of years of M≥6.5 earthquake sequences on the California fault system. RSQSim produces full slip‐time histories for each rupture, which, unlike kinematic models, emerge from frictional properties, fault geometry, and stress transfer; all intrinsic variability is deterministic. We use these slip‐time histories directly as input to a 3D wave‐propagation code within the CyberShake platform to obtain simulated Fmax=0.5  Hz ground motions. The resulting 3 s spectral acceleration ground motions closely match empirical ground‐motion model (GMM) estimates of median and variability of shaking. When computed over a range of sources and sites, the variability is similar to that of ergodic GMMs. Variability is reduced for individual pairs of sources and sites that repeatedly sample a single path, which is expected for a nonergodic model. This results in increased exceedance probabilities for certain characteristic ground motions for a source–site pair, while decreasing probabilities at the extreme tails of the ergodic GMM predictions. We present these comparisons and preliminary fully deterministic physics‐based RSQSim–CyberShake hazard curves, as well as a new technique for estimating within‐ and between‐event variability through simulation.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200216","usgsCitation":"Milner, K.R., Shaw, B.E., Goulet, C.A., Richards-Dinger, K.B., Callaghan, S., Jordan, T.H., Dieterich, J.H., and Field, E.H., 2021, Toward physics-based nonergodic PSHA: A prototype fully-deterministic seismic hazard model for southern California: Bulletin of the Seismological Society of America, v. 111, no. 2, p. 898-915, https://doi.org/10.1785/0120200216.","productDescription":"18 p.","startPage":"898","endPage":"915","ipdsId":"IP-123753","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":382265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.03613281249999,\n 32.509761735919426\n ],\n [\n -113.5986328125,\n 32.509761735919426\n ],\n [\n -113.5986328125,\n 36.73888412439431\n ],\n [\n -122.03613281249999,\n 36.73888412439431\n ],\n [\n -122.03613281249999,\n 32.509761735919426\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"111","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Milner, Kevin R.","contributorId":194141,"corporation":false,"usgs":false,"family":"Milner","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":808254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaw, Bruce E.","contributorId":194146,"corporation":false,"usgs":false,"family":"Shaw","given":"Bruce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":808255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goulet, Christine A. 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":194805,"corporation":false,"usgs":false,"family":"Goulet","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":808256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richards-Dinger, Keith B.","contributorId":198155,"corporation":false,"usgs":false,"family":"Richards-Dinger","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":808257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callaghan, Scott","contributorId":195136,"corporation":false,"usgs":false,"family":"Callaghan","given":"Scott","email":"","affiliations":[],"preferred":false,"id":808258,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jordan, Thomas H.","contributorId":247748,"corporation":false,"usgs":false,"family":"Jordan","given":"Thomas","email":"","middleInitial":"H.","affiliations":[{"id":49636,"text":"University of Southern California; SCEC","active":true,"usgs":false}],"preferred":false,"id":808259,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dieterich, James H.","contributorId":198156,"corporation":false,"usgs":false,"family":"Dieterich","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":808260,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":808261,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70217160,"text":"70217160 - 2021 - Using heat to trace vertical water fluxes in sediment experiencing concurrent tidal pumping and groundwater discharge","interactions":[],"lastModifiedDate":"2021-02-17T21:55:05.260992","indexId":"70217160","displayToPublicDate":"2021-01-05T08:07:04","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Using heat to trace vertical water fluxes in sediment experiencing concurrent tidal pumping and groundwater discharge","docAbstract":"

Heat has been widely applied to trace groundwater‐surface water exchanges in inland environments, but it is infrequently applied in coastal sediment where head oscillations induce periodicity in water flux magnitude/direction and heat advection. This complicates interpretation of temperatures to estimate water fluxes. We investigate the convolution of thermal and hydraulic signals to assess the viability of using heat as a tracer in environments with tidal head oscillations superimposed on submarine groundwater discharge. We first generate sediment temperature and head time series for conditions ranging from no tide to mega‐tidal using a numerical model (SUTRA) forced with periodic temperature and tidal head signals. We then analyze these synthetic temperature time series using heat tracing software (VFLUX2 and 1DTempPro) to evaluate if conventional terrestrial approaches to infer fluxes from temperatures are applicable for coastal settings. We consider high‐frequency water flux variability within a tidal signal and averaged over tidal signals. Results show that VFLUX2 analytical methods reasonably estimated the mean discharge fluxes in most cases but could not reproduce the flux variability within tidal cycles. The model results further reveal that high‐frequency time series of water fluxes varying in magnitude and direction can be accurately estimated if paired temperature and hydraulic head are analyzed using numerical models (e.g. 1DTempPro) that consider both dynamic hydraulic gradients and thermal signals. These results point to the opportunity to incorporate pressure sensors within heat tracing instrumentation to better assess sub‐daily flux oscillations and associated reactive processes.

","language":"English","publisher":"Wiley","doi":"10.1029/2020WR027904","usgsCitation":"LeRoux, N., Kurylyk, B., Briggs, M.A., Irvine, D., Tamborski, J., and Bense, V.F., 2021, Using heat to trace vertical water fluxes in sediment experiencing concurrent tidal pumping and groundwater discharge: Water Resources Research, v. 57, no. 2, ee2020WR027904, https://doi.org/10.1029/2020WR027904.","productDescription":"ee2020WR027904","ipdsId":"IP-123838","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488119,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.odu.edu/oeas_fac_pubs/404","text":"External Repository"},{"id":382017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"LeRoux, N","contributorId":247501,"corporation":false,"usgs":false,"family":"LeRoux","given":"N","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":807790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurylyk, B.","contributorId":222758,"corporation":false,"usgs":false,"family":"Kurylyk","given":"B.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":807791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irvine, D.","contributorId":222757,"corporation":false,"usgs":false,"family":"Irvine","given":"D.","email":"","affiliations":[{"id":40595,"text":"Flinders University","active":true,"usgs":false}],"preferred":false,"id":807793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tamborski, J","contributorId":247502,"corporation":false,"usgs":false,"family":"Tamborski","given":"J","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":807794,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bense, V. F.","contributorId":211493,"corporation":false,"usgs":false,"family":"Bense","given":"V.","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":807795,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217906,"text":"70217906 - 2021 - Juvenile Chinook salmon survival, travel time, and floodplain use relative to riverine channels in the Sacramento–San Joaquin River Delta","interactions":[],"lastModifiedDate":"2021-02-10T14:09:25.550413","indexId":"70217906","displayToPublicDate":"2021-01-05T08:06:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile Chinook salmon survival, travel time, and floodplain use relative to riverine channels in the Sacramento–San Joaquin River Delta","docAbstract":"

Floodplains provide multiple benefits to both resident and migratory fish species, including juvenile Chinook Salmon Oncorhynchus tshawytscha, but direct comparisons of survival during migration through a floodplain versus riverine routes are scarce. The Yolo Bypass is a broad floodplain of the Sacramento River that floods in about 30% of years in response to large, uncontrolled runoff events. We analyzed data from an acoustic telemetry study conducted in winter 2016 to estimate the proportion of tagged juvenile Chinook Salmon entrained from the Sacramento River into the Yolo Bypass and their spatial distribution within the Yolo Bypass. In addition, we compared survival and travel time of Chinook Salmon that migrated through the Yolo Bypass to those migrating via alternative non‐floodplain migration routes at varying stages of a flood event that activated the Yolo Bypass. We found that entrainment into the Yolo Bypass ranged from 1% to 80% among different release groups, with the highest entrainment coinciding with the peak of the March 2016 flooding event. Survival for Chinook Salmon migrating through the Yolo Bypass was similar to survival of those migrating through main‐stem migration routes. At the relatively high flows necessary to enable flooding of the Yolo Bypass, survival estimates varied little among release groups and migration routes. Furthermore, mean daily survival rates for Chinook Salmon migrating through the flooded Yolo Bypass were comparable to those of fish migrating through the other non‐floodplain routes. Median travel times remained relatively constant during various stages of flooding in the Yolo Bypass. This research should help managers to better understand the potential costs and benefits to floodplain restoration and routing of migrating Chinook Salmon into off‐channel habitat.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10271","usgsCitation":"Pope, A., Perry, R., Harvey, B.N., Hance, D., and Hansel, H.C., 2021, Juvenile Chinook salmon survival, travel time, and floodplain use relative to riverine channels in the Sacramento–San Joaquin River Delta: Transactions of the American Fisheries Society, v. 150, no. 1, p. 38-55, https://doi.org/10.1002/tafs.10271.","productDescription":"18 p.","startPage":"38","endPage":"55","ipdsId":"IP-119589","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":383200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.05810546875,\n 37.92686760148135\n ],\n [\n -121.124267578125,\n 37.92686760148135\n ],\n [\n -121.124267578125,\n 38.77121637244273\n ],\n [\n -122.05810546875,\n 38.77121637244273\n ],\n [\n -122.05810546875,\n 37.92686760148135\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"150","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":810142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":810143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Brett N.","contributorId":196883,"corporation":false,"usgs":false,"family":"Harvey","given":"Brett","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":810144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hance, Dalton 0000-0002-4475-706X","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":220179,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":810145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansel, Hal C 0000-0002-3537-8244","orcid":"https://orcid.org/0000-0002-3537-8244","contributorId":248922,"corporation":false,"usgs":false,"family":"Hansel","given":"Hal","email":"","middleInitial":"C","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":810146,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217631,"text":"70217631 - 2021 - A subset of CyberShake ground-motion time series for response-history analysis","interactions":[],"lastModifiedDate":"2021-04-22T18:31:41.149031","indexId":"70217631","displayToPublicDate":"2021-01-05T07:27:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7565,"text":"Earthquake Spectra Journal","active":true,"publicationSubtype":{"id":10}},"title":"A subset of CyberShake ground-motion time series for response-history analysis","docAbstract":"

This manuscript describes a subset of CyberShake numerically simulated ground motions that were selected and vetted for use in engineering response-history analyses. Ground motions were selected that have seismological properties and response spectra representative of conditions in the Los Angeles area, based on disaggregation of seismic hazard. Ground motions were selected from millions of available time series and were reviewed to confirm their suitability for response-history analysis. The processes used to select the time series, the characteristics of the resulting data, and the provided documentation are described in this article. The resulting data and documentation are available electronically.

","language":"English","publisher":"Sage Publications","doi":"10.1177/8755293020981970","usgsCitation":"Baker, J., Rezaeian, S., Goulet, C.A., Luco, N., and Teng, G., 2021, A subset of CyberShake ground-motion time series for response-history analysis: Earthquake Spectra Journal, v. 37, no. 2, p. 1162-1176, https://doi.org/10.1177/8755293020981970.","productDescription":"15 p.","startPage":"1162","endPage":"1176","ipdsId":"IP-123331","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":382583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.344482421875,\n 33.348884792201694\n ],\n [\n -116.553955078125,\n 33.348884792201694\n ],\n [\n -116.553955078125,\n 34.4069096565206\n ],\n [\n -119.344482421875,\n 34.4069096565206\n ],\n [\n -119.344482421875,\n 33.348884792201694\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Baker, Jack W.","contributorId":62113,"corporation":false,"usgs":false,"family":"Baker","given":"Jack W.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":808994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":808995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goulet, Christine A. 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":194805,"corporation":false,"usgs":false,"family":"Goulet","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":808996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":808997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teng, Ganyu","contributorId":248392,"corporation":false,"usgs":false,"family":"Teng","given":"Ganyu","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":808998,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70239367,"text":"70239367 - 2021 - Accelerometry to study fine-scale activity of invasive Burmese pythons (Python bivittatus) in the wild","interactions":[],"lastModifiedDate":"2023-01-11T13:22:14.071501","indexId":"70239367","displayToPublicDate":"2021-01-05T07:19:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Accelerometry to study fine-scale activity of invasive Burmese pythons (Python bivittatus) in the wild","docAbstract":"

The establishment of Burmese pythons (Python bivittatus) in Everglades National Park, Florida, USA, has been connected to a > 90% decline in the mesomammal population in the park and is a major threat to native reptile and bird populations. Efforts to control this population are underway, but are hampered by a lack of information about fine-scale activity cycles and ecology of these cryptic animals in the wild. We aimed to establish a technique for monitoring the activity of Burmese pythons in the wild using acceleration data loggers (ADLs), while attempting to identify any behavioral patterns that could be used to help manage this invasive species in the Greater Everglades and South Florida.

","language":"English","publisher":"BioMed Central","doi":"10.1186/s40317-020-00227-7","usgsCitation":"Whitney, N.M., White, C.F., Smith, B., Cherkiss, M., Mazzotti, F., and Hart, K., 2021, Accelerometry to study fine-scale activity of invasive Burmese pythons (Python bivittatus) in the wild: Animal Biotelemetry, v. 9, 2, 13 p., https://doi.org/10.1186/s40317-020-00227-7.","productDescription":"2, 13 p.","ipdsId":"IP-105788","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":453945,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-020-00227-7","text":"Publisher Index Page"},{"id":436602,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91MLPXJ","text":"USGS data release","linkHelpText":"Burmese python acceleration and location data, Everglades National Park, 2010 - 2012"},{"id":411714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.69284128809062,\n 26.177272078608766\n ],\n [\n -81.69284128809062,\n 24.93892098136496\n ],\n [\n -80.11697244258342,\n 24.93892098136496\n ],\n [\n -80.11697244258342,\n 26.177272078608766\n ],\n [\n -81.69284128809062,\n 26.177272078608766\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Whitney, Nicholas M.","contributorId":300723,"corporation":false,"usgs":false,"family":"Whitney","given":"Nicholas","email":"","middleInitial":"M.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":861291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Connor F.","contributorId":173554,"corporation":false,"usgs":false,"family":"White","given":"Connor","email":"","middleInitial":"F.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":861292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Brian 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":214951,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222174,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":861295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861296,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70239241,"text":"70239241 - 2021 - Heterogeneous stream-reservoir graph networks with data assimilation","interactions":[],"lastModifiedDate":"2023-01-05T12:41:47.070938","indexId":"70239241","displayToPublicDate":"2021-01-05T06:39:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12996,"text":"IEEE International Conference on Data Mining (ICDM)","active":true,"publicationSubtype":{"id":10}},"title":"Heterogeneous stream-reservoir graph networks with data assimilation","docAbstract":"
Accurate prediction of water temperature in streams is critical for monitoring and understanding biogeochemical and ecological processes in streams. Stream temperature is affected by weather patterns (such as solar radiation) and water flowing through the stream network. Additionally, stream temperature can be substantially affected by water releases from man-made reservoirs to downstream segments. In this paper, we propose a heterogeneous recurrent graph model to represent these interacting processes that underlie stream-reservoir networks and improve the prediction of water temperature in all river segments within a network. Because reservoir release data may be unavailable for certain reservoirs, we further develop a data assimilation mechanism to adjust the deep learning model states to correct for the prediction bias caused by reservoir releases. Our evaluation for the Delaware River Basin has demonstrated the superiority of our proposed method over multiple existing methods. We have extensively studied the effect of the data assimilation mechanism under different scenarios.
","language":"English","publisher":"IEEE","doi":"10.1109/ICDM51629.2021.00117","usgsCitation":"Chen, S., Appling, A.P., Oliver, S.K., Corson-Dosch, H.R., Read, J., Sadler, J.M., Zwart, J.A., and Jia, X., 2021, Heterogeneous stream-reservoir graph networks with data assimilation: IEEE International Conference on Data Mining (ICDM), p. 1024-1029, https://doi.org/10.1109/ICDM51629.2021.00117.","productDescription":"6 p.","startPage":"1024","endPage":"1029","ipdsId":"IP-133329","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":453946,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://arxiv.org/abs/2110.04959","text":"External Repository"},{"id":436603,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AHPO0H","text":"USGS data release","linkHelpText":"Model predictions for heterogeneous stream-reservoir graph networks with data assimilation"},{"id":411423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Shengyu","contributorId":297452,"corporation":false,"usgs":false,"family":"Chen","given":"Shengyu","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":860880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":860881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corson-Dosch, Hayley R. 0000-0001-8695-1584","orcid":"https://orcid.org/0000-0001-8695-1584","contributorId":244707,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Hayley","middleInitial":"R.","affiliations":[{"id":37316,"text":"WMA - 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Such earthquakes are among the most impactful natural hazards on Earth, transcend national boundaries, and can have global impact. Reducing the societal impacts of future events in the U.S. Pacific Northwest and coastal British Columbia, Canada requires improved scientific understanding of megathrust earthquake rupture, recurrence, and corresponding hazards. Despite substantial knowledge gained from decades of research, large uncertainties remain about the characteristics and frequencies of past CSZ earthquakes. In this review, we summarize geological, geophysical, and instrumental evidence relevant to understanding megathrust earthquakes along the CSZ and associated uncertainties. We discuss how the evidence constrains various models of great megathrust earthquake recurrence in Cascadia and identify potential paths forward for the earthquake science community.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-071620-065605","usgsCitation":"Walton, M.A., Staisch, L.M., Dura, T., Pearl, J.K., Sherrod, B.L., Gomberg, J.S., Engelhart, S.E., Trehu, A., Watt, J., Perkins, J.P., Witter, R., Bartlow, N., Goldfinger, C., Kelsey, H., Morey, A., Sahakian, V., Tobin, H., Wang, K., Wells, R., and Wirth, E.A., 2021, Toward an integrative geological and geophysical view of Cascadia subduction zone earthquakes: Annual Review of Earth and Planetary Sciences, v. 49, p. 367-398, https://doi.org/10.1146/annurev-earth-071620-065605.","productDescription":"32 p.","startPage":"367","endPage":"398","ipdsId":"IP-120598","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":453949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-earth-071620-065605","text":"Publisher Index Page"},{"id":382480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -134.05517578125,\n 41.88592102814744\n ],\n [\n -121.48681640624999,\n 41.88592102814744\n ],\n [\n -121.48681640624999,\n 52.576349937498875\n ],\n [\n -134.05517578125,\n 52.576349937498875\n ],\n [\n -134.05517578125,\n 41.88592102814744\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walton, Maureen A. 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