{"pageNumber":"789","pageRowStart":"19700","pageSize":"25","recordCount":184617,"records":[{"id":70208892,"text":"70208892 - 2019 - Multi-measurement approach for establishing the base of gas hydrate occurrence in the Krishna-Godavari Basin for sites cored during Expedition NGHP-02 in the offshore of India","interactions":[],"lastModifiedDate":"2020-03-04T15:05:41","indexId":"70208892","displayToPublicDate":"2018-07-26T14:57:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-measurement approach for establishing the base of gas hydrate occurrence in the Krishna-Godavari Basin for sites cored during Expedition NGHP-02 in the offshore of India","docAbstract":"<p><span>The 2015 National&nbsp;Gas Hydrate&nbsp;Program of India's second expedition, NGHP-02, acquired logging and coring datasets for constraining the base of the gas hydrate occurrence zone (deepest GH) and the theoretical base of gas hydrate stability zone (BGHS). These data are used here for two primary goals: to constrain the deepest occurrence of gas hydrate relative to predicted stability limits and the observed BSR, and to characterize the nature of the contact between gas hydrate-bearing sediment and the underlying gas hydrate-free sediment. A consensus depth for the deepest GH is derived for each NGHP-02 coring site from downhole indicators of gas hydrate occurrence obtained from well-log electrical resistivity and&nbsp;acoustic data, pressure core compressional&nbsp;</span>wave velocity<span>&nbsp;measurements, and conventional core measurements of anomalously low temperatures. To establish the theoretical BGHS, models of gas hydrate phase stability with depth are compared with downhole temperature profiles derived from: 1) assuming a constant&nbsp;geothermal gradient&nbsp;consistent with downhole temperature measurements, and 2) assuming constant heat flow using a geotherm through the downhole temperature measurements and incorporating&nbsp;thermal conductivity&nbsp;calculated from&nbsp;borehole logging&nbsp;data. Although the deepest NGHP-02 GH occurrences are controlled at several sites by a lithologic boundary, most sites have deepest GH occurrences within a single coarse-grained&nbsp;lithology. Cutoffs within a single coarse-grained lithology, which occur for the primary NGHP-02 Area B gas hydrate reservoir, will inhibit&nbsp;pore-pressure&nbsp;drawdowns used to extract methane from gas hydrate as an energy resource.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2018.07.026","usgsCitation":"Waite, W., Ruppel, C.D., Collett, T.S., Schultheiss, P., Holland, M., Shukla, K., and Kumar, P., 2019, Multi-measurement approach for establishing the base of gas hydrate occurrence in the Krishna-Godavari Basin for sites cored during Expedition NGHP-02 in the offshore of India: Marine and Petroleum Geology, v. 108, p. 296-320, https://doi.org/10.1016/j.marpetgeo.2018.07.026.","productDescription":"25 p.","startPage":"296","endPage":"320","ipdsId":"IP-097865","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1703491","text":"Publisher Index Page"},{"id":372916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","otherGeospatial":"Bay of Bengal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              89.12109375,\n              20.24158281954221\n            ],\n            [\n              86.63818359375,\n              21.657428197370653\n            ],\n            [\n              81.80419921875,\n              17.035777250427195\n            ],\n            [\n              82.3974609375,\n              15.644196600866072\n            ],\n            [\n              89.12109375,\n              20.24158281954221\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"108","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":783891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":783892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":783893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schultheiss, P.","contributorId":79657,"corporation":false,"usgs":true,"family":"Schultheiss","given":"P.","affiliations":[],"preferred":false,"id":783894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holland, M.","contributorId":17380,"corporation":false,"usgs":true,"family":"Holland","given":"M.","email":"","affiliations":[],"preferred":false,"id":783895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shukla, K.M.","contributorId":168911,"corporation":false,"usgs":false,"family":"Shukla","given":"K.M.","email":"","affiliations":[{"id":25388,"text":"ONGC","active":true,"usgs":false}],"preferred":false,"id":783896,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kumar, P.","contributorId":45476,"corporation":false,"usgs":true,"family":"Kumar","given":"P.","affiliations":[],"preferred":false,"id":783897,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70206134,"text":"70206134 - 2019 - Accounting for location uncertainty in azimuthaltelemetry data improves ecological inference","interactions":[],"lastModifiedDate":"2019-10-23T15:52:00","indexId":"70206134","displayToPublicDate":"2018-07-25T15:46:06","publicationYear":"2019","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":"Accounting for location uncertainty in azimuthaltelemetry data improves ecological inference","docAbstract":"<h3 class=\"c-article__sub-heading u-h3\" data-test=\"abstract-sub-heading\">Background</h3><p>Characterizing animal space use is critical for understanding ecological relationships. Animal telemetry technology has revolutionized the fields of ecology and conservation biology by providing high quality spatial data on animal movement. Radio-telemetry with very high frequency (VHF) radio signals continues to be a useful technology because of its low cost, miniaturization, and low battery requirements. Despite a number of statistical developments synthetically integrating animal location estimation and uncertainty with spatial process models using satellite telemetry data, we are unaware of similar developments for azimuthal telemetry data. As such, there are few statistical options to handle these unique data and no synthetic framework for modeling animal location uncertainty and accounting for it in ecological models.</p><p>We developed a hierarchical modeling framework to provide robust animal location estimates from one or more intersecting or non-intersecting azimuths. We used our azimuthal telemetry model (ATM) to account for azimuthal uncertainty with covariates and propagate location uncertainty into spatial ecological models. We evaluate the ATM with commonly used estimators (Lenth (1981) maximum likelihood and M-Estimators) using simulation. We also provide illustrative empirical examples, demonstrating the impact of ignoring location uncertainty within home range and resource selection analyses. We further use simulation to better understand the relationship among location uncertainty, spatial covariate autocorrelation, and resource selection inference.</p><h3 class=\"c-article__sub-heading u-h3\" data-test=\"abstract-sub-heading\">Results</h3><p>We found the ATM to have good performance in estimating locations and the only model that has appropriate measures of coverage. Ignoring animal location uncertainty when estimating resource selection or home ranges can have pernicious effects on ecological inference. Home range estimates can be overly confident and conservative when ignoring location uncertainty and resource selection coefficients can lead to incorrect inference and over confidence in the magnitude of selection. Furthermore, our simulation study clarified that incorporating location uncertainty helps reduce bias in resource selection coefficients across all levels of covariate spatial autocorrelation.</p><h3 class=\"c-article__sub-heading u-h3\" data-test=\"abstract-sub-heading\">Conclusion</h3><p>The ATM can accommodate one or more azimuths when estimating animal locations, regardless of how they intersect; this ensures that all data collected are used for ecological inference. Our findings and model development have important implications for interpreting historical analyses using this type of data and the future design of radio-telemetry studies.</p>","language":"English","publisher":"Springer","doi":"10.1186/s40462-018-0129-1","collaboration":"Colorado State University","usgsCitation":"Hooten, M., Brian D. Gerber, Christopher P. Peck, Mindy B. Rice, Anthony D. Apa, Gammonley, J.H., and Amy J. Davis, 2019, Accounting for location uncertainty in azimuthaltelemetry data improves ecological inference: Movement Ecology, v. 6, 14, https://doi.org/10.1186/s40462-018-0129-1.","productDescription":"14","ipdsId":"IP-086823","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468116,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-018-0129-1","text":"Publisher Index Page"},{"id":368535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":773684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brian D. Gerber","contributorId":219968,"corporation":false,"usgs":false,"family":"Brian D. Gerber","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":773685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christopher P. Peck","contributorId":219969,"corporation":false,"usgs":false,"family":"Christopher P. Peck","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":773686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mindy B. Rice","contributorId":219970,"corporation":false,"usgs":false,"family":"Mindy B. Rice","affiliations":[{"id":40103,"text":"cdpw","active":true,"usgs":false}],"preferred":false,"id":773687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anthony D. Apa","contributorId":219971,"corporation":false,"usgs":false,"family":"Anthony D. Apa","affiliations":[{"id":40103,"text":"cdpw","active":true,"usgs":false}],"preferred":false,"id":773688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gammonley, James H.","contributorId":219972,"corporation":false,"usgs":false,"family":"Gammonley","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":40103,"text":"cdpw","active":true,"usgs":false}],"preferred":false,"id":773689,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amy J. Davis","contributorId":219973,"corporation":false,"usgs":false,"family":"Amy J. Davis","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":773690,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70199205,"text":"70199205 - 2019 - Landscape pivot points and responses to water balance in national parks of the southwest US","interactions":[],"lastModifiedDate":"2019-01-28T09:23:40","indexId":"70199205","displayToPublicDate":"2018-07-23T12:42:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape pivot points and responses to water balance in national parks of the southwest US","docAbstract":"<ol class=\"\"><li><p>A recent drying trend that is expected to continue in the southwestern US underscores the need for site‐specific and near real‐time understanding of vegetation vulnerability so that land management actions can be implemented at the right time and place.</p></li><li><p>We related the annual integrated normalized difference vegetation index (iNDVI), a proxy for vegetation production, to water balance across landscapes of the Colorado Plateau. We determined how changes in production per unit of water (vegetation responses) and the water balance amounts at which production shifted from above to below average values (pivot points), varied across dominant vegetation and soil types.</p></li><li><p>Precipitation (PRCP), actual evapotranspiration (AET), water deficit (<i>D</i>), and soil moisture (SM) explained 13%–82% of variation in vegetation production. Along an increasing water availability gradient, vegetation responses to PRCP and AET increased, responses to SM decreased, and responses to<span>&nbsp;</span><i>D</i><span>&nbsp;</span>became more negative. We found trade‐offs between vegetation responses and pivot points within and across all vegetation types that were mediated by soil properties.</p></li><li><p><i>Synthesis and applications</i>. The water needed by native vegetation to maintain production depends on plant traits. The water available to vegetation depends on climate and soil properties that change along environmental gradients. Tracking this biologically relevant water availability in relation to water need provides an indicator of vegetation growth or stress that can help guide the time and place for management actions.</p></li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13250","usgsCitation":"Thoma, D.P., Munson, S.M., and Witwicki, D.L., 2019, Landscape pivot points and responses to water balance in national parks of the southwest US: Journal of Applied Ecology, v. 56, no. 1, p. 157-167, https://doi.org/10.1111/1365-2664.13250.","productDescription":"11 p.","startPage":"157","endPage":"167","ipdsId":"IP-093619","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460595,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13250","text":"Publisher Index Page"},{"id":357201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Arches National Park, Black Canyon of the Gunnison National Park, Canyonlands National Park, Capitol Reef National Park, Curecanti National Recreation Area, Dinosaur National Monument, Zion National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.389892578125,\n              37.16907157713011\n            ],\n            [\n              -106.92993164062499,\n              37.16907157713011\n            ],\n            [\n              -106.92993164062499,\n              40.68063802521456\n            ],\n            [\n              -113.389892578125,\n              40.68063802521456\n            ],\n            [\n              -113.389892578125,\n              37.16907157713011\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-05","publicationStatus":"PW","scienceBaseUri":"5b98a297e4b0702d0e842f87","contributors":{"authors":[{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":744656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witwicki, Dana L.","contributorId":207763,"corporation":false,"usgs":false,"family":"Witwicki","given":"Dana","email":"","middleInitial":"L.","affiliations":[{"id":37628,"text":"National Park Service Inventory and Monitoring Program, P.O. Box 848, Moab, UT 84532, USA","active":true,"usgs":false}],"preferred":false,"id":744657,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216091,"text":"70216091 - 2019 - Macroinvertebrate sensitivity thresholds for sediment in Virginia streams","interactions":[],"lastModifiedDate":"2020-11-05T15:09:49.728379","indexId":"70216091","displayToPublicDate":"2018-07-19T09:03:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Macroinvertebrate sensitivity thresholds for sediment in Virginia streams","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Sediment is the most commonly identified pollutant associated with macroinvertebrate community impairments in freshwater streams nationwide. Management of this physical stressor is complicated by the multiple measures of sediment available (e.g., suspended, dissolved, bedded) and the variability in natural “healthy” sediment loadings across ecoregions. Here we examine the relative importance of 9 sediment parameters on macroinvertebrate community health as measured by the Virginia Stream Condition Index (VSCI) across 5 ecoregions. In combination, sediment parameters explained 27.4% of variance in the VSCI in a multiregion data set and from 20.2% to 76.4% of variance for individual ecoregions. Bedded sediment parameters had a stronger influence on VSCI than did dissolved or suspended parameters in the multiregion assessment. However, assessments of individual ecoregions revealed conductivity had a key influence on VSCI in the Central Appalachian, Northern Piedmont and Piedmont ecoregions. In no case was a single sediment parameter sufficient to predict VSCI scores or individual biological metrics. Given the identification of embeddedness and conductivity as key parameters for predicting biological condition, we developed family‐level sensitivity thresholds for these parameters, based on extirpation. Resulting thresholds for embeddedness were 68% for combined ecoregions, 65% for the Mountain bioregion (composed of Central Appalachian, Ridge and Valley, and Blue Ridge ecoregions), and 88% for the Piedmont bioregion (composed of Northern Piedmont and Piedmont ecoregions). Thresholds for conductivity were 366 μS/cm for combined ecoregions, 391 μS/cm for the Mountain bioregion, and 136 μS/cm for the Piedmont bioregion. These thresholds may help water quality professionals identify impaired and at‐risk waters designated to support aquatic life and develop regional strategies to manage sediment‐impaired streams. Inclusion of embeddedness as a restoration endpoint may be warranted; this could be facilitated by application of more quantitative, less time‐intensive measurement approaches. We encourage refinement of thresholds as additional data and genus‐based metrics become available.<span>&nbsp;</span><i>Integr Environ Assess Manag</i><span>&nbsp;</span>2019;15:77–92. Published 2018. This article has been contributed to by US Government employees and their work is in the public domain in the USA.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ieam.4086","usgsCitation":"Govenor, H., Krometis, L.A., Willis, L., Angermeier, P.L., and Hession, W.C., 2019, Macroinvertebrate sensitivity thresholds for sediment in Virginia streams: Integrated Environmental Assessment and Management, v. 15, no. 1, p. 77-92, https://doi.org/10.1002/ieam.4086.","productDescription":"16 p.","startPage":"77","endPage":"92","ipdsId":"IP-094435","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":460597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4086","text":"Publisher Index Page"},{"id":380193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Govenor, Heather","contributorId":244545,"corporation":false,"usgs":false,"family":"Govenor","given":"Heather","email":"","affiliations":[],"preferred":false,"id":804144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krometis, Leigh Anne H.","contributorId":244546,"corporation":false,"usgs":false,"family":"Krometis","given":"Leigh","email":"","middleInitial":"Anne H.","affiliations":[],"preferred":false,"id":804145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willis, Lawrence","contributorId":244547,"corporation":false,"usgs":false,"family":"Willis","given":"Lawrence","email":"","affiliations":[],"preferred":false,"id":804146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":804147,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hession, W. Cully","contributorId":244548,"corporation":false,"usgs":false,"family":"Hession","given":"W.","email":"","middleInitial":"Cully","affiliations":[],"preferred":false,"id":804148,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203659,"text":"70203659 - 2019 - Optimal treatment allocations in space and time for online control of anemerging infectious disease","interactions":[],"lastModifiedDate":"2019-05-30T15:07:49","indexId":"70203659","displayToPublicDate":"2018-07-18T15:02:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2568,"text":"Journal of the Royal Statistical Society. Series C: Applied Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Optimal treatment allocations in space and time for online control of anemerging infectious disease","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>A key component in controlling the spread of an epidemic is deciding where, when and to whom to apply an intervention. We develop a framework for using data to inform these decisions in realtime. We formalize a treatment allocation strategy as a sequence of functions, one per treatment period, that map up‐to‐date information on the spread of an infectious disease to a subset of locations where treatment should be allocated. An optimal allocation strategy optimizes some cumulative outcome, e.g. the number of uninfected locations, the geographic footprint of the disease or the cost of the epidemic. Estimation of an optimal allocation strategy for an emerging infectious disease is challenging because spatial proximity induces interference between locations, the number of possible allocations is exponential in the number of locations, and because disease dynamics and intervention effectiveness are unknown at outbreak. We derive a Bayesian on‐line estimator of the optimal allocation strategy that combines simulation–optimization with Thompson sampling. The estimator proposed performs favourably in simulation experiments. This work is motivated by and illustrated using data on the spread of white nose syndrome, which is a highly fatal infectious disease devastating bat populations in North America.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/rssc.12266","usgsCitation":"Laber, E.B., Meyer, N.J., Reich, B.J., Pacifici, K., Collazo, J., and Drake, J.M., 2019, Optimal treatment allocations in space and time for online control of anemerging infectious disease: Journal of the Royal Statistical Society. Series C: Applied Statistics, v. 67, no. 4, p. 743-789, https://doi.org/10.1111/rssc.12266.","productDescription":"45 p.","startPage":"743","endPage":"789","ipdsId":"IP-071304","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468117,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rssc.12266","text":"Publisher Index Page"},{"id":364258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Laber, Eric B.","contributorId":215934,"corporation":false,"usgs":false,"family":"Laber","given":"Eric","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":763448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Nick J.","contributorId":215935,"corporation":false,"usgs":false,"family":"Meyer","given":"Nick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":763449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reich, Brian J.","contributorId":150871,"corporation":false,"usgs":false,"family":"Reich","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":763450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pacifici, Krishna","contributorId":26564,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":763451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":763444,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drake, John M.","contributorId":175372,"corporation":false,"usgs":false,"family":"Drake","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":27562,"text":"Odum School of Ecology, University of Georgia, Athens, GA","active":true,"usgs":false}],"preferred":false,"id":763452,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206810,"text":"70206810 - 2019 - Lions and leopards coexist without spatial, temporal or demographic effects of interspecific competition","interactions":[],"lastModifiedDate":"2019-11-22T10:25:23","indexId":"70206810","displayToPublicDate":"2018-07-16T10:23:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Lions and leopards coexist without spatial, temporal or demographic effects of interspecific competition","docAbstract":"1. Although interspecific competition plays a principle role in shaping species behaviour and demography, little is known about the population-level outcomes of competition between large carnivores, and the mechanisms that facilitate coexistence.\n2. We conducted a multi-landscape analysis of two widely distributed, threatened large carnivore competitors to offer insight into coexistence strategies and assist with species-level conservation. \n3. We evaluated how interference competition affects occupancy, temporal activity and population density of a dominant competitor, the lion (Panthera leo), and its subordinate competitor, the leopard (Panthera pardus). We collected camera-trap data over three years in ten study sites covering 5,070 km2. We used multispecies occupancy modelling to assess spatial responses in varying environmental and prey conditions and competitor presence, and examined temporal overlap and the relationship between lion and leopard densities across sites and years. \n4. Results showed that both lion and leopard occupancy was independent of – rather than conditional on – their competitor’s presence across all environmental covariates. Marginal occupancy probability for leopard was higher in areas with more bushy, ‘hideable’ habitat, human (tourist) activity and topographic ruggedness, whereas lion occupancy decreased with increasing hideable habitat and increased with higher abundance of very large prey. Temporal overlap was high between carnivores and there was no significant relationship between species densities. \n4. Lions pose a threat to the survival of individual leopards, but they exerted no tractable influence on leopard spatial or temporal dynamics. Furthermore, lions did not appear to suppress leopard populations, suggesting that intraguild competitors can coexist in the same areas without population decline. Aligned conservation strategies that promote functioning ecosystems, rather than target individual species, are therefore suggested to achieve cost- and space-effective conservation.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2656.12883","usgsCitation":"Fuller, A.K., Miller, J., Pittman, R., Mann, G., and Balme, G., 2019, Lions and leopards coexist without spatial, temporal or demographic effects of interspecific competition: Journal of Animal Ecology, v. 87, no. 6, p. 1709-1726, https://doi.org/10.1111/1365-2656.12883.","productDescription":"18 p.","startPage":"1709","endPage":"1726","ipdsId":"IP-089044","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468118,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12883","text":"Publisher Index Page"},{"id":369459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":775837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Jennifer","contributorId":197539,"corporation":false,"usgs":false,"family":"Miller","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":775838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pittman, Ross","contributorId":220824,"corporation":false,"usgs":false,"family":"Pittman","given":"Ross","email":"","affiliations":[{"id":40281,"text":"Institute for Communities and Wildlife in Africa","active":true,"usgs":false}],"preferred":false,"id":775839,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mann, Gareth","contributorId":220825,"corporation":false,"usgs":false,"family":"Mann","given":"Gareth","email":"","affiliations":[{"id":40281,"text":"Institute for Communities and Wildlife in Africa","active":true,"usgs":false}],"preferred":false,"id":775840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balme, Guy","contributorId":220826,"corporation":false,"usgs":false,"family":"Balme","given":"Guy","email":"","affiliations":[{"id":40281,"text":"Institute for Communities and Wildlife in Africa","active":true,"usgs":false}],"preferred":false,"id":775841,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203910,"text":"70203910 - 2019 - Development of on-shore behavior among polar bears (Ursus maritimus) in the southern Beaufort Sea: Inherited or learned?","interactions":[],"lastModifiedDate":"2019-06-25T09:09:57","indexId":"70203910","displayToPublicDate":"2018-07-13T09:10:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Development of on-shore behavior among polar bears (<i>Ursus maritimus</i>) in the southern Beaufort Sea: Inherited or learned?","title":"Development of on-shore behavior among polar bears (Ursus maritimus) in the southern Beaufort Sea: Inherited or learned?","docAbstract":"<p>Polar bears (<i>Ursus maritimus</i>) are experiencing rapid and substantial changes to their environment due to global climate change. Polar bears of the southern Beaufort Sea (SB) have historically spent most of the year on the sea ice. However, recent reports from Alaska indicate that the proportion of the SB subpopulation observed on-shore during late summer and early fall has increased. Our objective was to investigate whether this on-shore behavior has developed through genetic inheritance, asocial learning, or through social learning. From 2010 to 2013, genetic data were collected from SB polar bears in the fall via hair snags and remote biopsy darting on-shore and in the spring from captures and remote biopsy darting on the sea ice. Bears were categorized as either on-shore or off-shore individuals based on their presence on-shore during the fall. Levels of genetic relatedness, first-order relatives, mother–offspring pairs, and father–offspring pairs were determined and compared within and between the two categories: on-shore versus off-shore. Results suggested transmission of on-shore behavior through either genetic inheritance or social learning as there was a higher than expected number of first-order relatives exhibiting on-shore behavior. Genetic relatedness and parentage data analyses were in concurrence with this finding, but further revealed mother–offspring social learning as the primary mechanism responsible for the development of on-shore behavior. Recognizing that on-shore behavior among polar bears was predominantly transmitted via social learning from mothers to their offspring has implications for future management and conservation as sea ice continues to decline.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4233","usgsCitation":"Lillie, K.M., Gese, E.M., Atwood, T.C., and Sonsthagen, S.A., 2019, Development of on-shore behavior among polar bears (Ursus maritimus) in the southern Beaufort Sea: Inherited or learned?: Ecology and Evolution, v. 8, no. 16, p. 7790-7799, https://doi.org/10.1002/ece3.4233.","productDescription":"10 p.","startPage":"7790","endPage":"7799","ipdsId":"IP-085029","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":468119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4233","text":"Publisher Index Page"},{"id":364867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Southern Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -157.32421875,\n              71.49703690095419\n            ],\n            [\n              -157.32421875,\n              70.88788500718185\n            ],\n            [\n              -141.8115234375,\n              69.39578308847753\n            ],\n            [\n              -138.427734375,\n              68.98992503056704\n            ],\n            [\n              -138.2080078125,\n              69.51914693717981\n            ],\n            [\n              -142.7783203125,\n              70.22974449563027\n            ],\n            [\n              -157.32421875,\n              71.49703690095419\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"16","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lillie, K. M.","contributorId":216398,"corporation":false,"usgs":false,"family":"Lillie","given":"K.","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":764713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gese, E. M.","contributorId":216399,"corporation":false,"usgs":false,"family":"Gese","given":"E.","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":764714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":764711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","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":764712,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204422,"text":"70204422 - 2019 - Importance of riparian forest corridors for the ocelot in agricultural landscapes","interactions":[],"lastModifiedDate":"2019-07-23T08:51:11","indexId":"70204422","displayToPublicDate":"2018-07-09T08:50:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Importance of riparian forest corridors for the ocelot in agricultural landscapes","docAbstract":"Worldwide, private lands have attracted increased attention from conservationists, not only because most of the globe is privately owned, but also because private lands can be an asset to the protected area conservation strategy. In Brazil, the riverine Areas of Permanent Protection (APPs) is a key instrument of the Forest Code to protect native vegetation on private lands. Although APPs were conceived to function as potential wildlife corridors, this putative role has been rarely assessed. Further, recent debatable changes in the Forest Code have decreased the extent of APPs. Given this lack of information and the declining area being protected along with the growing demand for agricultural and biofuel production, which stimulate additional deforestation, it is timely to assess the role of APPs in wildlife conservation. We did this analyzing how ocelot (Leopardus pardalis) occurrence is influenced by covariates in 3 cerrado landscapes dominated by sugarcane and managed forests of eucalyptus and pine trees. We collected detection/non-detection data by camera trapping during 2 dry seasons (2013 and 2014) at 208 stations (6606 camera-days). We estimated ocelot detection and mean relative abundance using a single-species/single-season occupancy model that accounts for heterogeneous detection probability induced by variation in abundance. Modeling results showed that percentage of native forest was the most important covariate to explain ocelot mean relative abundance. This parameter was also affected positively by APPs, with ocelots being more abundant inside than outside APPs and, unexpectedly, by sugarcane. Given study design, however, the positive effect of this crop likely reflects the contact zone between sugarcane and native forest. Our findings show that landscape composition affects ocelot abundance and highlight the importance of APPs and Legal Reserves in agricultural landscapes. We conclude that, in such landscapes, compliance to the Forest Code by private land owners is key to supporting ocelot occurrence.","language":"English","publisher":"Oxford Academic ","doi":"10.1093/jmammal/gyy075","usgsCitation":"Paolino, R., Royle, A., Versiani, N., Rodrigues, T.F., Pasqualotto, N., Krepschi, V., and Adriano Chiarello, 2019, Importance of riparian forest corridors for the ocelot in agricultural landscapes: Journal of Mammalogy, v. 99, no. 4, p. 874-884, https://doi.org/10.1093/jmammal/gyy075.","productDescription":"11 p.","startPage":"874","endPage":"884","ipdsId":"IP-092001","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468120,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyy075","text":"Publisher Index Page"},{"id":365833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365832,"type":{"id":15,"text":"Index Page"},"url":"https://academic.oup.com/jmammal/article-abstract/99/4/874/5050937"}],"volume":"99","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Paolino, Roberta","contributorId":217469,"corporation":false,"usgs":false,"family":"Paolino","given":"Roberta","email":"","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":766836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":766835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Versiani, Natalia","contributorId":217470,"corporation":false,"usgs":false,"family":"Versiani","given":"Natalia","email":"","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":766837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodrigues, Thiago F.","contributorId":217471,"corporation":false,"usgs":false,"family":"Rodrigues","given":"Thiago","email":"","middleInitial":"F.","affiliations":[{"id":39648,"text":"Universidade Estadual Paulista (UNESP)","active":true,"usgs":false}],"preferred":false,"id":766838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pasqualotto, Nielson","contributorId":217472,"corporation":false,"usgs":false,"family":"Pasqualotto","given":"Nielson","email":"","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":766839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krepschi, Victor","contributorId":217473,"corporation":false,"usgs":false,"family":"Krepschi","given":"Victor","email":"","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":766840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adriano Chiarello","contributorId":217474,"corporation":false,"usgs":false,"family":"Adriano Chiarello","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":766841,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197990,"text":"70197990 - 2019 - Modeling framework to estimate spawning and hatching locations of pelagically-spawned eggs","interactions":[],"lastModifiedDate":"2019-03-26T16:24:40","indexId":"70197990","displayToPublicDate":"2018-07-05T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Modeling framework to estimate spawning and hatching locations of pelagically-spawned eggs","docAbstract":"<p><span>Identifying spawning and hatching locations is vital to controlling invasive fish and conserving imperiled fish, which can be difficult for pelagically-spawning species with semi-buoyant eggs. In freshwater systems, this reproductive strategy is common among cyprinid species, such as Chinese carp species currently threatening the Great Lakes. Following the confirmation that one of these species, Grass Carp (Ctenopharyngodon idella), was spawning in a Great Lakes tributary, we developed a modeling framework to combine field data with hydraulic models to calculate the most probable spawning and hatching locations for collected eggs. Our results indicate that the estimated spawning location encompassed habitat consistent with spawning sites in Grass Carp’s native range. Additionally, all eggs were identified to have hatched in the river, increasing the likelihood of successful recruitment. This modeling framework can be used to estimate spawning and hatching locations for Chinese carp species, as well as all pelagic, riverine spawners. Spawning and hatching locations provide key information to researchers about the reproductive requirements of species and to agencies about how best to manage populations for control or restoration.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0047","usgsCitation":"Embke, H.S., Kocovsky, P., Garcia, T., Mayer, C.M., and Qian, S.S., 2019, Modeling framework to estimate spawning and hatching locations of pelagically-spawned eggs: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 4, p. 597-607, https://doi.org/10.1139/cjfas-2018-0047.","productDescription":"11 p.","startPage":"597","endPage":"607","ipdsId":"IP-087557","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":501079,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/92211","text":"External Repository"},{"id":355500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e544e4b060350a15d077","contributors":{"authors":[{"text":"Embke, Holly S. 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":173026,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"S.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":false,"id":739500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":739499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, Tatiana 0000-0002-1979-7246 tgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-1979-7246","contributorId":140327,"corporation":false,"usgs":true,"family":"Garcia","given":"Tatiana","email":"tgarcia@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayer, Christine M.","contributorId":50814,"corporation":false,"usgs":true,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":739502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":739503,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215784,"text":"70215784 - 2019 - Ecology and conservation of the American eel in the Caribbean region","interactions":[],"lastModifiedDate":"2020-10-29T14:01:43.762822","indexId":"70215784","displayToPublicDate":"2018-07-03T08:58:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecology and conservation of the American eel in the Caribbean region","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The majority of American eel,<span>&nbsp;</span><i>Anguilla rostrata</i><span>&nbsp;</span>LeSueur, knowledge is derived from temperate regions in the United States and Canada, with little known from its tropical Caribbean distribution. Findings of original research on American eel distribution, abundance, population biology, habitat ecology and threats from the Caribbean island of Puerto Rico were synthesised. American eel were captured from 48 of 116 sites (41.4%) in 26 of 49 river basins (53.1%) during 2005–2016, and it was extirpated upstream of dams and migration barriers &gt;3.0&nbsp;m high (38.9% of habitat). Mean density and biomass were 438.9&nbsp;fish/ha and 23.44&nbsp;kg/ha, respectively. Upstream habitats favoured larger individuals, and females were larger than males. The swim‐bladder parasite<span>&nbsp;</span><i>Anguillicoloides crassus</i><span>&nbsp;</span>Kuwahara, Niimi &amp; Hagaki was not found in 120 eels examined. Realised threats include dams and other migratory barriers, habitat loss and alteration and pollution; exotic species and commercial fishing are impending threats; and the least understood is climate change.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/fme.12300","usgsCitation":"Kwak, T.J., Engman, A.C., and Lilyestrom, C., 2019, Ecology and conservation of the American eel in the Caribbean region: Fisheries Management and Ecology, v. 26, no. 1, p. 42-52, https://doi.org/10.1111/fme.12300.","productDescription":"11 p.","startPage":"42","endPage":"52","ipdsId":"IP-096362","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fme.12300","text":"Publisher Index Page"},{"id":379913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Caribbean region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.14257812499999,\n              6.402648405963896\n            ],\n            [\n              -54.228515625,\n              6.402648405963896\n            ],\n            [\n              -54.228515625,\n              26.980828590472107\n            ],\n            [\n              -91.14257812499999,\n              26.980828590472107\n            ],\n            [\n              -91.14257812499999,\n              6.402648405963896\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":803445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engman, Augustin C.","contributorId":32145,"corporation":false,"usgs":false,"family":"Engman","given":"Augustin","email":"","middleInitial":"C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":803448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lilyestrom, C.G.","contributorId":243989,"corporation":false,"usgs":false,"family":"Lilyestrom","given":"C.G.","affiliations":[{"id":48784,"text":"Puerto Rico Department of Natural and Environmental Resources","active":true,"usgs":false}],"preferred":false,"id":803446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197975,"text":"70197975 - 2019 - Diets of endangered silver chub (Macrhybopsis storeriana, Kirtland, 1844) in Lake Erie and implications for recovery","interactions":[],"lastModifiedDate":"2019-01-28T09:31:23","indexId":"70197975","displayToPublicDate":"2018-07-02T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diets of endangered silver chub (<i>Macrhybopsis storeriana</i>, Kirtland, 1844) in Lake Erie and implications for recovery","title":"Diets of endangered silver chub (Macrhybopsis storeriana, Kirtland, 1844) in Lake Erie and implications for recovery","docAbstract":"<p><span>Silver chub (</span><i>Macrhybopsis storeriana</i><span>, Kirtland, 1844) is a native Cyprinid in Lake Erie, one of the Laurentian Great Lakes of North America. It is listed as endangered by the US state of New York and Canada, which has a recovery plan, and as special concern by the state of Michigan. Silver chub faces a potential threat to recovery from control efforts for invasive Grass carp (</span><i>Ctenopharyngodon idella</i><span>, Valenciennes 1844). Among the knowledge gaps for protection and restoration is current diet data. I describe the diet of silver chub from western Lake Erie in 2014, and I compare it to past studies to assess changes in diet through time. Silver chub captured in bottom trawls May–September 2014 were frozen in the field, and stomach contents were preserved in ethanol. Diet taxa were identified to the lowest practical taxonomic unit, then dried and weighed. Frequency of occurrence in silver chub diets was highest for<span>&nbsp;</span></span><i>Hexagenia</i><span><span>&nbsp;</span>spp. mayflies (79%).<span>&nbsp;</span></span><i>Dreissena</i><span><span>&nbsp;</span>spp. and<span>&nbsp;</span></span><i>Hexagenia</i><span><span>&nbsp;</span>spp. were both 41% of the diet by dry weight. Analysis of δ</span><sup>13</sup><span>C isotopes identified<span>&nbsp;</span></span><i>Hexagenia</i><span><span>&nbsp;</span>spp. as the primary source of carbon in silver chub. Compared to past studies,<span>&nbsp;</span></span><i>Dreissena</i><span><span>&nbsp;</span>spp. have mostly replaced Sphaeriidae and Gastropoda in silver chub diets. There also have been seasonal shifts in relative amounts of shelled organisms and<span>&nbsp;</span></span><i>Hexagenia</i><span><span>&nbsp;</span>spp. This study and past research suggest a functional link between silver chub and<span>&nbsp;</span></span><i>Hexagenia</i><span><span>&nbsp;</span>spp. abundance. Maintenance and recovery of silver chub may be dependent on maintaining<span>&nbsp;</span></span><i>Hexagenia</i><span><span>&nbsp;</span>spp. populations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12424","usgsCitation":"Kocovsky, P., 2019, Diets of endangered silver chub (Macrhybopsis storeriana, Kirtland, 1844) in Lake Erie and implications for recovery: Ecology of Freshwater Fish, v. 28, no. 1, p. 33-40, https://doi.org/10.1111/eff.12424.","productDescription":"8 p.","startPage":"33","endPage":"40","ipdsId":"IP-096199","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":460599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12424","text":"Publisher Index Page"},{"id":355441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.66638183593749,\n              41.35825713137813\n            ],\n            [\n              -81.97174072265625,\n              41.35825713137813\n            ],\n            [\n              -81.97174072265625,\n              42.20817645934742\n            ],\n            [\n              -83.66638183593749,\n              42.20817645934742\n            ],\n            [\n              -83.66638183593749,\n              41.35825713137813\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e546e4b060350a15d08b","contributors":{"authors":[{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":739415,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203663,"text":"70203663 - 2019 - Predicting species-habitat relationships: Does body size matter?","interactions":[],"lastModifiedDate":"2019-05-30T15:35:23","indexId":"70203663","displayToPublicDate":"2018-07-01T15:34:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting species-habitat relationships: Does body size matter?","docAbstract":"Context.\nAllometric scaling laws are foundational to structuring processes from cellular to ecosystem levels. The idea that allometric relationships underlie species characteristic selection scales, the spatial scales at which species respond to landscape features, has recently been investigated, however, supporting empirical evidence is scarce.\n\nObjectives.\nLack of pattern can be explained by inaccurate estimation, low power, confounding factors, or absence of a relationship. In this paper, we evaluate the relationship between body size and species characteristic selection scales after overcoming limitations of previous study designs.\n\nMethods.\nWe conducted 1328 avian point counts across the state of Nebraska using the robust sampling design to account for imperfect detection. We used Bayesian latent indicator scale selection with N-mixture models to estimate species’ characteristic selection scales of six habitat features in 86 species. We propagated the uncertainty associated with assigning characteristic scales to a model of the relationship between body size and characteristic spatial scales.\n\nResults.\nSpecies characteristic scales varied across habitat predictors, and varied in the uncertainty associated with selecting single characteristic scales. After propagating uncertainty our results do not support a relationship between species’ body size and the spatial scales at which they respond to landscape features.\n\nConclusions.\nAs species abundance integrates birth, death, immigration, and emigration processes, each of which are influenced by ecological processes manifesting at various scales, we question whether a general allometric relationship should be expected. Our results suggest that selection may act on responses to specific environmental features, rather than response to spatial scale per se.","language":"English","publisher":"Springer","doi":"10.1007/s10980-018-0648-6","usgsCitation":"Stuber, E., Gruber, L., and Fontaine, J.J., 2019, Predicting species-habitat relationships: Does body size matter?: Landscape Ecology, v. 33, no. 7, p. 1049-1060, https://doi.org/10.1007/s10980-018-0648-6.","productDescription":"12 p.","startPage":"1049","endPage":"1060","ipdsId":"IP-071453","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":364262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"7","publishingServiceCenter":{"id":3,"text":"Helena PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Stuber, E.F.","contributorId":205137,"corporation":false,"usgs":false,"family":"Stuber","given":"E.F.","email":"","affiliations":[{"id":37031,"text":"Nebraska Cooperative Fish & Wildlife Research Unit, University of Nebraska-Lincoln, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":763458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gruber, L.","contributorId":215936,"corporation":false,"usgs":false,"family":"Gruber","given":"L.","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":763459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fontaine, Joseph J. 0000-0002-7639-9156 jfontaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-9156","contributorId":3820,"corporation":false,"usgs":true,"family":"Fontaine","given":"Joseph","email":"jfontaine@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":763457,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204574,"text":"70204574 - 2019 - Effects of landscape characteristics on annual survival of Lesser Prairie-Chickens","interactions":[],"lastModifiedDate":"2019-08-08T11:24:13","indexId":"70204574","displayToPublicDate":"2018-07-01T13:00:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Effects of landscape characteristics on annual survival of Lesser Prairie-Chickens","docAbstract":"<p><span>Agriculture and development have caused landscape change throughout the southwestern Great Plains in the range of the lesser prairie-chicken (</span><i>Tympanuchus pallidicinctus</i><span>). Landscape alteration within the lesser prairie-chicken range may contribute to range contraction and population losses through decreases in survival rates. Our objectives were to determine if: (1) landscape configuration (</span><i>i.e</i><span>., the spatial arrangement of habitat) or composition (</span><i>i.e</i><span>., the amount of habitat), at the study-site scale, affected annual survival of females, (2) relationships exist between landscape context (</span><i>i.e</i><span>., landscape configuration and composition) and weekly survival to assess effects of landscape composition and configuration on lesser prairie-chicken populations, and (3) anthropogenic features influenced daily mortality risk. We captured 170 female lesser prairie-chickens and used very-high-frequency and GPS (Global Positioning System) transmitters to track their movement and survival for 2 y. We used known-fate survival models to test if landscape configuration or composition within three sites in Kansas were related to differences in female survival among sites. In addition we tested for relationships between weekly survival and landscape configuration or composition within home ranges. Finally, we used Andersen-Gill models to test the influence of distance to anthropogenic features on daily mortality risk. Differences in survival were evident between sites with differing landscape compositions as annual survival in Northwestern Kansas (Ŝ</span><span>= 0.27) was half that of Clark County, Kansas (Ŝ</span><span>= 0.56), which corresponded with 41.9% more grassland on the landscape in Clark County; landscape configuration did not measurably differ among sites. Survival was greater for prairie-chickens with home-ranges that had greater patch richness and in areas with 30% crop and 57% grassland. Female lesser prairie-chickens also experienced greater mortality risk closer to fences at patch edges. Further conversion of grassland landscapes occupied by lesser prairie-chickens should be avoided to reduce habitat loss and fragmentation thresholds that could affect survival. We suggest continued encouragement of Conservation Reserve Program enrollment in western areas of the lesser prairie-chicken range to maintain or increase the amount of grassland to increase annual survival.</span></p>","language":"English","publisher":"BioOne","doi":"10.1674/0003-0031-180.1.66","usgsCitation":"Robinson, S.G., Haukos, D.A., Plumb, R.T., Kraft, J.D., Sullins, D.S., Lautenbach, J.M., Lautenbach, J.D., Sandercock, B.K., Christian A. Hagen, Bartuszevige, A.M., and Rice, M.B., 2019, Effects of landscape characteristics on annual survival of Lesser Prairie-Chickens: American Midland Naturalist, v. 180, p. 66-86, https://doi.org/10.1674/0003-0031-180.1.66.","productDescription":"21 p.","startPage":"66","endPage":"86","ipdsId":"IP-085818","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":352,"text":"Kansas Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":460603,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11250/2559517","text":"External Repository"},{"id":366273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.041015625,\n              37.02886944696474\n            ],\n            [\n              -97.93212890625,\n              37.02886944696474\n            ],\n            [\n              -97.93212890625,\n              39.35978526869001\n            ],\n            [\n              -102.041015625,\n              39.35978526869001\n            ],\n            [\n              -102.041015625,\n              37.02886944696474\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"180","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":767708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":767613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":767709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraft, John D.","contributorId":172789,"corporation":false,"usgs":false,"family":"Kraft","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":767710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":767711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lautenbach, Joseph M.","contributorId":172788,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":767712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lautenbach, Jonathan D.","contributorId":172790,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":767713,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sandercock, Brett K.","contributorId":95816,"corporation":false,"usgs":true,"family":"Sandercock","given":"Brett","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":767714,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Christian A. Hagen","contributorId":217299,"corporation":false,"usgs":false,"family":"Christian A. Hagen","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":767715,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bartuszevige, Anne M.","contributorId":172827,"corporation":false,"usgs":false,"family":"Bartuszevige","given":"Anne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":767716,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rice, Mindy B.","contributorId":214399,"corporation":false,"usgs":false,"family":"Rice","given":"Mindy","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":767717,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70223490,"text":"70223490 - 2019 - Let’s agree to disagree: Comparing auto-acoustic identification programs for northeastern bats","interactions":[],"lastModifiedDate":"2021-08-30T13:11:53.375779","indexId":"70223490","displayToPublicDate":"2018-07-01T08:09:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Let’s agree to disagree: Comparing auto-acoustic identification programs for northeastern bats","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>With the declines in abundance and changing distribution of white-nose syndrome–affected bat species, increased reliance on acoustic monitoring is now the new “normal.” As such, the ability to accurately identify individual bat species with acoustic identification programs has become increasingly important. We assessed rates of disagreement between the three U.S. Fish and Wildlife Service–approved acoustic identification software programs (Kaleidoscope Pro 4.2.0, Echoclass 3.1, and Bat Call Identification 2.7d) and manual visual identification using acoustic data collected during summers from 2003 to 2017 at Fort Drum, New York. We assessed the percentage of agreement between programs through pairwise comparisons on a total nightly count level, individual file level (e.g., individual echolocation pass call file), and grouped maximum likelihood estimate level (e.g., probability values that a species is misclassified as present when in fact it is absent) using preplanned contrasts, Akaike Information Criterion, and annual confusion matrices. Interprogram agreement on an individual file level was low, as measured by Cohen's Kappa (0.2–0.6). However, site-night level pairwise comparative analysis indicated that program agreement was higher (40–90%) using single season occupancy metrics. In comparing analytical outcomes of our different datasets (i.e., how comparable programs and visual identification are regarding the relationship between environmental conditions and bat activity), we determined high levels of congruency in the relative rankings of the model as well as the relative level of support for each individual model. This indicated that among individual software packages, when analyzing bat calls, there was consistent ecological inference beyond the file-by-file level at the scales used by managers. Depending on objectives, we believe our results can help users choose automated software and maximum likelihood estimate thresholds more appropriate for their needs and allow for better cross-comparison of studies using different automated acoustic software.</p></div>","language":"English","publisher":"Allen Press","doi":"10.3996/102018-JFWM-090","usgsCitation":"Ford, W., Nocera, T., Silvis, A., and Dobony, C., 2019, Let’s agree to disagree: Comparing auto-acoustic identification programs for northeastern bats: Journal of Fish and Wildlife Management, v. 10, no. 2, p. 346-361, https://doi.org/10.3996/102018-JFWM-090.","productDescription":"16 p.","startPage":"346","endPage":"361","ipdsId":"IP-101166","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468122,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/102018-jfwm-090","text":"Publisher Index Page"},{"id":388654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-07-01","publicationStatus":"PW","contributors":{"authors":[{"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":822153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nocera, Tomás","contributorId":264895,"corporation":false,"usgs":false,"family":"Nocera","given":"Tomás","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":822154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silvis, Alexander","contributorId":264896,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","affiliations":[{"id":54472,"text":"RES Inc.","active":true,"usgs":false}],"preferred":false,"id":822155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobony, Christopher A.","contributorId":264897,"corporation":false,"usgs":false,"family":"Dobony","given":"Christopher A.","affiliations":[{"id":54576,"text":"DoD","active":true,"usgs":false}],"preferred":false,"id":822156,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203772,"text":"70203772 - 2019 - The Santa Cruz Basin submarine landslide complex, southern California: Repeated failure of uplifted basin sediment","interactions":[],"lastModifiedDate":"2019-08-16T09:27:31","indexId":"70203772","displayToPublicDate":"2018-06-30T11:04:30","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The Santa Cruz Basin submarine landslide complex, southern California: Repeated failure of uplifted basin sediment","docAbstract":"<p><span>The Santa Cruz Basin (SCB) is one of several fault-bounded basins within the California Continental Borderland that has drawn interest over the years for its role in the tectonic evolution of the region, but also because it contains a record of a variety of modes of sedimentary mass transport (i.e., open slope vs. canyon-confined systems). Here, we present a suite of new high-resolution marine geophysical data that demonstrate the extent and significance of the SCB submarine landslide complex in terms of late Miocene to present basin evolution and regional geohazard assessment. The new data reveal that submarine landslides cover an area of ~160 km2 along the eastern flank of the Santa Rosa–Cortes Ridge and have emplaced a minimum of 9 to 16 km3 of mass transport deposits along the floor of the SCB during the Quaternary. The failures occur along an onlapping wedge of Pliocene sediment that was uplifted and tilted during the later stages of basin development. The uplifted and steepened Pliocene strata were preconditioned for failure so that parts of the section failed episodically throughout the Quaternary—most likely during large earthquakes. Once failed, the material initially translated as a block glide along a defined failure surface. As transport continued several kilometers across a steep section of the lower slope, the material separated into distinctive proximal and distal components. The failed masses mobilized into debris flows that show evidence for dynamic separation into less and more mobile components that disturbed and eroded underlying stratigraphy in areas most proximal to the source area. The most highly mobilized components and those with the lowest viscosity and yield strength produced flows that blanket the underlying stratigraphy along the distal reaches of deposition. The estimated volumes of individual landslides within the complex (0.1–2.6 km3), the runout distance measured from the headwalls (&gt;20 km), and evidence for relatively high velocity during initial mobilization all suggest that slides in the SCB may have been tsunamigenic. Because many slopes in the California Continental Borderland are either sediment starved or have experienced sediment bypass during the Quaternary, we propose that uplift and rotation of Pliocene deposits are important preconditioning factors for slope failure that need to be systematically evaluated as potential tsunami initiators.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From the Mountains to the Abyss--The California Borderland as an archive of southern California geologic evolution","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"SEPM Society for Sedimentary Geology","doi":"10.2110/sepmsp.110.05","usgsCitation":"Brothers, D., Maier, K.L., Kluesner, J., Conrad, J.E., and Chaytor, J., 2019, The Santa Cruz Basin submarine landslide complex, southern California: Repeated failure of uplifted basin sediment, chap. <i>of</i> From the Mountains to the Abyss--The California Borderland as an archive of southern California geologic evolution, 18 p., https://doi.org/10.2110/sepmsp.110.05.","productDescription":"18 p.","ipdsId":"IP-075723","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":364590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"California Continental Borderland, Santa Cruz Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.12451171875,\n              33.30298618122413\n            ],\n            [\n              -119.14672851562499,\n              33.30298618122413\n            ],\n            [\n              -119.14672851562499,\n              33.925129700072\n            ],\n            [\n              -120.12451171875,\n              33.925129700072\n            ],\n            [\n              -120.12451171875,\n              33.30298618122413\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brothers, Daniel S. 0000-0001-7702-157X","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":210199,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maier, Katherine L. 0000-0003-2908-3340 kcoble@usgs.gov","orcid":"https://orcid.org/0000-0003-2908-3340","contributorId":4926,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine","email":"kcoble@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kluesner, Jared W. 0000-0003-1701-8832","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":206367,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764063,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203545,"text":"70203545 - 2019 - Effects of elevated temperature on osmoregulation and stress responses in Atlantic salmon (Salmo salar) smolts in freshwater and seawater","interactions":[],"lastModifiedDate":"2019-05-21T13:28:47","indexId":"70203545","displayToPublicDate":"2018-06-28T13:27:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of elevated temperature on osmoregulation and stress responses in Atlantic salmon (Salmo salar) smolts in freshwater and seawater","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Smolting in Atlantic salmon<span>&nbsp;</span><i>Salmo salar</i><span>&nbsp;</span>is a critical life‐history stage that is preparatory for downstream migration and entry to seawater that is regulated by abiotic variables including photoperiod and temperature. The present study was undertaken to determine the interaction of temperature and salinity on salinity tolerance, gill osmoregulatory proteins and cellular and endocrine stress in<span>&nbsp;</span><i>S. salar</i><span>&nbsp;</span>smolts. Fish were exposed to rapid changes in temperature (from 14 to 17, 20 and 24°C) in fresh water (FW) and seawater (SW), with and without prior acclimation and sampled after 2 and 8 days. Fish exposed simultaneously to SW and 24°C experienced 100% mortality, whereas no mortality occurred in any of the other groups. The highest temperature also resulted in poor ion regulation in SW with or without prior SW acclimation, whereas no substantial effect was observed in FW. Gill Na<sup>+</sup>–K<sup>+</sup>‐ATPase (NKA) activity increased in SW fish compared to FW fish and decreased with high temperature in both FW and SW. Gill Nkaα1a abundance was high in FW and Nkaα1b and Na<sup>+</sup>–K<sup>+</sup>‐2Cl‐ cotransporter high in SW, but all three were lower at the highest temperature. Gill Hsp70 levels were elevated in FW and SW at the highest temperature and increased with increasing temperature 2 days following direct transfer to SW. Plasma cortisol levels were elevated in SW at the highest temperature. Our results indicate that there is an important interaction of salinity and elevated temperature on osmoregulatory performance and the cellular stress response in<span>&nbsp;</span><i>S. salar</i>, with an apparent threshold for osmoregulatory failure in SW above 20°C.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13683","usgsCitation":"Vargas-Chacoff, L., Regish, A.M., Weinstock, A., and McCormick, S.D., 2019, Effects of elevated temperature on osmoregulation and stress responses in Atlantic salmon (Salmo salar) smolts in freshwater and seawater: Journal of Fish Biology, v. 93, no. 3, p. 550-559, https://doi.org/10.1111/jfb.13683.","productDescription":"10 p.","startPage":"550","endPage":"559","ipdsId":"IP-097226","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":364056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Vargas-Chacoff, Luis","contributorId":215729,"corporation":false,"usgs":false,"family":"Vargas-Chacoff","given":"Luis","email":"","affiliations":[{"id":39306,"text":"Universidad Austral de Chile, Valdivia, Chile","active":true,"usgs":false}],"preferred":false,"id":763091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regish, Amy M. 0000-0003-4747-4265 aregish@usgs.gov","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":5415,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"aregish@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":763092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weinstock, Andrew","contributorId":215730,"corporation":false,"usgs":false,"family":"Weinstock","given":"Andrew","email":"","affiliations":[{"id":39307,"text":"New York State","active":true,"usgs":false}],"preferred":false,"id":763093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":763090,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198795,"text":"70198795 - 2019 - State-space models to infer movements and behavior of fish detected in a spatial array of acoustic receivers ","interactions":[],"lastModifiedDate":"2019-03-26T16:22:56","indexId":"70198795","displayToPublicDate":"2018-06-25T13:50:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"State-space models to infer movements and behavior of fish detected in a spatial array of acoustic receivers ","docAbstract":"<p><span>We developed state-space models for inferring movements and behaviors of fish implanted with acoustic transmitters and detected within a spatial array of stationary acoustic receivers. In these models fish movements and behavior switching are specified using a hidden Markov model of the changes in an individual's latent activity center. The observed number of detections at each acoustic receiver is modeled as a function of the distance between the receiver and a fish's activity center. To illustrate these models, we analyzed the detections of individual Gulf sturgeon that moved within a spatial array of acoustic receivers placed in the Suwannee River, Florida. Our models of these detections provided estimates of the locations of individual sturgeon and the periods when individuals switched between spawning and resting behaviors. We anticipate that these models will be used to analyze acoustic surveys of other species and to help design new surveys.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0067 ","usgsCitation":"Price, M.E., and Dorazio, R., 2019, State-space models to infer movements and behavior of fish detected in a spatial array of acoustic receivers : Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 4, p. 543-550, https://doi.org/10.1139/cjfas-2018-0067 .","productDescription":"8 p.","startPage":"543","endPage":"550","ipdsId":"IP-099255 ","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":501072,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/91211","text":"External Repository"},{"id":356592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2a3e4b0702d0e842fa6","contributors":{"authors":[{"text":"Price, Melissa E. 0000-0002-4276-0855 mprice@usgs.gov","orcid":"https://orcid.org/0000-0002-4276-0855","contributorId":5875,"corporation":false,"usgs":true,"family":"Price","given":"Melissa","email":"mprice@usgs.gov","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":742991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":149286,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":742992,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203751,"text":"70203751 - 2019 - Scale dependence of diversity in alpine tundra, Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2019-06-07T15:57:50","indexId":"70203751","displayToPublicDate":"2018-06-23T15:49:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Scale dependence of diversity in alpine tundra, Rocky Mountains, USA","docAbstract":"Drivers of alpine plant community composition have been observed to vary with scale.  Diversity of alpine tundra across four regions of the Rocky Mountains and among plots within one region was examined relative to temperature and precipitation variables.  For regional scale analyses, averages of three metrics of plot-level species diversity relative to environmental variables and regional gamma diversity were examined for a subset of 60 plots from a stratified random sample in each region.  For local scale analyses, additional soil and climate variables were included at 96 plots from one of the four regions.  Correlations and visual examination of bivariate plots elucidated possible controls of cold temperatures and gamma diversity on average diversity metrics among the four regions and of precipitation and/or location on plot-level metrics within the single region.  For the latter, the bivariate graph indicated a triangular distribution in which all levels of diversity exist at low precipitation but only low diversity at higher precipitation.  We propose that change in drivers with scale is a general result of the relative importance of temperature and water in seed production (temperature > water) and seedling establishment (vice versa) and the logical priority of seed production over seedling establishment.","language":"English","publisher":"Springer","doi":"10.1007/s11258-018-0852-0","usgsCitation":"Malanson, G.P., Fagre, D.B., and Zimmerman, D.L., 2019, Scale dependence of diversity in alpine tundra, Rocky Mountains, USA: Plant Ecology, v. 219, no. 8, p. 999-1008, https://doi.org/10.1007/s11258-018-0852-0.","productDescription":"10 p.","startPage":"999","endPage":"1008","ipdsId":"IP-092228","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":364529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Montana, New Mexico, Wyoming","otherGeospatial":"Beartooth Range, Indian Peaks Area,  Rocky Mountains, ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.16894531249999,\n              48.80686346108517\n            ],\n            [\n              -107.22656249999999,\n              36.4566360115962\n            ],\n            [\n              -104.94140625,\n              35.53222622770337\n            ],\n            [\n              -105.29296874999999,\n              39.095962936305476\n            ],\n            [\n              -107.138671875,\n              44.213709909702054\n            ],\n            [\n              -114.9169921875,\n              48.83579746243093\n            ],\n            [\n              -118.16894531249999,\n              48.80686346108517\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"219","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Malanson, George P.","contributorId":189162,"corporation":false,"usgs":false,"family":"Malanson","given":"George","email":"","middleInitial":"P.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":763955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":763954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Dale L.","contributorId":166811,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Dale","email":"","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":763956,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204289,"text":"70204289 - 2019 - A repeating event sequence alarm for monitoring volcanoes","interactions":[],"lastModifiedDate":"2019-07-17T14:25:22","indexId":"70204289","displayToPublicDate":"2018-06-20T14:22:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A repeating event sequence alarm for monitoring volcanoes","docAbstract":"A major challenge in volcanology is forecasting eruptions. Repeating earthquake sequences may precede volcanic eruptions or lava dome growth and collapse, providing an opportunity for short-term eruption forecasting. I develop an automated repeating earthquake sequence detector and near real-time alarm to send alerts when an in-progress sequence is identified. The algorithm is based on a standard event detector (e.g., STA/LTA) and subsequent correlation-matching procedure that identifies repeating event sequences. A notification algorithm determines when a sequence is in progress and sends alerts. I use eruptions of three Alaskan volcanoes as case studies to test the alarm, implementing it both in retrospect and in real-time during the 2016-2017 Bogoslof eruption. These case studies show that the alarm can successfully be used to detect and alert on sequences of repeating events in a timely manner.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170263","usgsCitation":"Tepp, G., 2019, A repeating event sequence alarm for monitoring volcanoes: Seismological Research Letters, v. 89, no. 5, p. 1863-1876, https://doi.org/10.1785/0220170263.","productDescription":"14 p.","startPage":"1863","endPage":"1876","ipdsId":"IP-092679","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":365681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Tepp, Gabrielle 0000-0001-5388-5138","orcid":"https://orcid.org/0000-0001-5388-5138","contributorId":206305,"corporation":false,"usgs":true,"family":"Tepp","given":"Gabrielle","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":766323,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203757,"text":"70203757 - 2019 - A portfolio framework for prioritizing conservation efforts for Yellowstone Cutthroat Trout populations","interactions":[],"lastModifiedDate":"2019-06-10T09:35:57","indexId":"70203757","displayToPublicDate":"2018-06-20T09:22:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"A portfolio framework for prioritizing conservation efforts for Yellowstone Cutthroat Trout populations","docAbstract":"<p><span>Managing and conserving native taxa are becoming increasingly challenging because of mounting threats and limited resources, predicating the need for frameworks to prioritize conservation actions. We integrated attributes of population persistence, genetic status, threats from nonnative species, and threats from climatic shifts to prioritize conservation actions for Yellowstone Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii bouvieri</i><span>. We used the individual attributes to rank populations and provide a framework for identifying the benefits of individual conservation actions. The majority of extant populations (57%) had a high probability (&gt;0.75) of persistence, but nearly 70% of populations were either slightly hybridized or sympatric with nonnative species, and 44% of extant populations occupied habitat with low climatic resilience. Overall, we found that 36% of populations ranked as high (&gt;0.75) conservation priority, and these populations primarily occupied large, relatively high‐elevation habitats. The prioritization framework provides a platform for identifying and ranking actions with the greatest conservation effectiveness.</span></p>","language":"English","doi":"10.1002/fsh.10137","usgsCitation":"Al-Chokhachy, R., Shepard, B.B., Burckhardt, J.C., Garren, D., Opitz, S., Koel, T., Nelson, L.M., and Gresswell, R.E., 2019, A portfolio framework for prioritizing conservation efforts for Yellowstone Cutthroat Trout populations: Fisheries Magazine, v. 43, no. 10, p. 485-496, https://doi.org/10.1002/fsh.10137.","productDescription":"12 p.","startPage":"485","endPage":"496","ipdsId":"IP-085801","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":364548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Utah, Wyoming","otherGeospatial":"Greater Yellowstone Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.027099609375,\n              41.44272637767212\n            ],\n            [\n              -107.479248046875,\n              41.44272637767212\n            ],\n            [\n              -107.479248046875,\n              46.01222384063236\n            ],\n            [\n              -114.027099609375,\n              46.01222384063236\n            ],\n            [\n              -114.027099609375,\n              41.44272637767212\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216140,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":763979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shepard, Bradley B.","contributorId":145880,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":763980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burckhardt, Jason C.","contributorId":216141,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason","email":"","middleInitial":"C.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":763981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garren, Dan","contributorId":200463,"corporation":false,"usgs":false,"family":"Garren","given":"Dan","email":"","affiliations":[],"preferred":false,"id":763982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Opitz, Scott","contributorId":200462,"corporation":false,"usgs":false,"family":"Opitz","given":"Scott","affiliations":[],"preferred":false,"id":763983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koel, Todd M.","contributorId":196920,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[],"preferred":false,"id":763984,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Lee M.","contributorId":169853,"corporation":false,"usgs":false,"family":"Nelson","given":"Lee","email":"","middleInitial":"M.","affiliations":[{"id":5099,"text":"Montana Department of Fish, Wildlife, and Parks","active":true,"usgs":false}],"preferred":false,"id":763985,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":763986,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70215425,"text":"70215425 - 2019 - Growth, condition, and trophic relations of stocked trout in southern Appalachian mountain streams","interactions":[],"lastModifiedDate":"2020-10-20T14:51:13.80001","indexId":"70215425","displayToPublicDate":"2018-06-18T09:41:27","publicationYear":"2019","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":"Growth, condition, and trophic relations of stocked trout in southern Appalachian mountain streams","docAbstract":"<p><span>Stream trout fisheries are among the most popular and valuable in the United States, but many are dependent on hatcheries to sustain fishing and harvest. Thus, understanding the ecology of hatchery‐reared trout stocked in natural environments is fundamental to management. We evaluated the growth, condition, and trophic relations of Brook Trout&nbsp;</span><i>Salvelinus fontinalis</i><span>, Brown Trout&nbsp;</span><i>Salmo trutta</i><span>, and Rainbow Trout&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;that were stocked in southern Appalachian Mountain streams in western North Carolina. Stocked and wild (naturalized) trout were sampled over time (monthly; September 2012–June 2013) to compare condition and diet composition and to evaluate temporal dynamics of trophic position with stable isotope analysis. Relative weights (</span><i>W</i><sub><i>r</i></sub><span>) of stocked trout were inversely associated with their stream residence time but were consistently higher than those of wild trout. Weight loss of harvested stocked trout was similar among species and sizes, but fish stocked earlier lost more weight. Overall, 40% of 141 stomachs from stocked trout were empty compared to 15% of wild trout stomachs (</span><i>N&nbsp;</i><span>=</span><i>&nbsp;</i><span>26). We identified a much higher rate of piscivory in wild trout (18 times that of stocked trout), and wild trout were 4.3 times more likely to consume gastropods relative to stocked trout. Hatchery‐reared trout were isotopically similar to co‐occurring wild fish for both δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N values but were less variable than wild trout. Differences in sulfur isotope ratios (δ</span><sup>34</sup><span>S) between wild and hatchery‐reared trout indicated that the diets of wild fish were enriched in δ</span><sup>34</sup><span>S relative to the diets of hatchery‐reared fish. Although hatchery‐reared trout consumed prey items similar to those of wild fish, differences in consumption or behavior (e.g., reduced feeding) may have resulted in lower condition and negative growth. These findings provide critical insight on the trophic dynamics of stocked trout and may assist in developing and enhancing stream trout fisheries.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10170","usgsCitation":"Fischer, J.R., Kwak, T.J., Flowers, H., Cope, W., Rash, J.M., and Besler, D., 2019, Growth, condition, and trophic relations of stocked trout in southern Appalachian mountain streams: Transactions of the American Fisheries Society, v. 148, no. 4, p. 771-784, https://doi.org/10.1002/tafs.10170.","productDescription":"14 p.","startPage":"771","endPage":"784","ipdsId":"IP-107873","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":379544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.6448974609375,\n              36.602299135790446\n            ],\n            [\n              -81.8096923828125,\n              36.32397712011264\n            ],\n            [\n              -82.11181640625,\n              36.09349937380574\n            ],\n            [\n              -82.4853515625,\n              36.0624217151089\n            ],\n            [\n              -82.7874755859375,\n              35.95577654056531\n            ],\n            [\n              -83.34228515625,\n              35.62158189955968\n            ],\n            [\n              -84.0838623046875,\n              35.32184842037683\n            ],\n            [\n              -84.2816162109375,\n              35.178298352001214\n            ],\n            [\n              -84.29809570312499,\n              34.994003757575776\n            ],\n            [\n              -82.6611328125,\n              35.08395557927643\n            ],\n            [\n              -82.034912109375,\n              35.232159412017154\n            ],\n            [\n              -80.82092285156249,\n              36.54936246839778\n            ],\n            [\n              -81.6448974609375,\n              36.602299135790446\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"148","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Fischer, J. R.","contributorId":243373,"corporation":false,"usgs":false,"family":"Fischer","given":"J.","email":"","middleInitial":"R.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":802158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":802159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flowers, H. J.","contributorId":243374,"corporation":false,"usgs":false,"family":"Flowers","given":"H. 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,{"id":70203035,"text":"70203035 - 2019 - Monitoring brine contamination using time-lapse airborne electromagnetic surveys, East Poplar Oil Field, Montana","interactions":[],"lastModifiedDate":"2019-04-17T09:34:03","indexId":"70203035","displayToPublicDate":"2018-06-14T09:33:41","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Monitoring brine contamination using time-lapse airborne electromagnetic surveys, East Poplar Oil Field, Montana","docAbstract":"<p>Integrated geophysical and water-quality studies have been used to delineate areas of saline groundwater in shallow unconfined aquifers underlying the East Poplar oil field in northeastern Montana. In 2004, a RESOLVE survey was conducted over the oil field to identify high conductivity areas potentially associated with brine contamination and to map the shale unit comprising the base of aquifer. In 2014, a SkyTEM 301 survey was conducted over the same flight paths to examine possible changes in groundwater conductivity and to complete the base-of-aquifer mapping where the depth of investigation from the 2004 survey was inadequate. We present a preliminary comparison between the 2004 and 2014 surveys. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"7th annual conference on airborne electromagnetics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"7th annual conference on airborne electromagnetics","conferenceDate":"June 17-20, 2018","conferenceLocation":"Kolding, Denmark","language":"English","publisher":"AEM","usgsCitation":"Ball, L., Deszcz-Pan, M., Thamke, J., and Smith, B., 2019, Monitoring brine contamination using time-lapse airborne electromagnetic surveys, East Poplar Oil Field, Montana, <i>in</i> 7th annual conference on airborne electromagnetics, Kolding, Denmark, June 17-20, 2018.","ipdsId":"IP-095182","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":362998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362997,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.conferencemanager.dk/AEM2018/abstracts-presentations-posters.html"}],"country":"United States","state":"Montana","otherGeospatial":"East Poplar Oil Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.2435302734375,\n              48.028509034432986\n            ],\n            [\n              -104.8809814453125,\n              48.028509034432986\n            ],\n            [\n              -104.8809814453125,\n              48.439223211480595\n            ],\n            [\n              -105.2435302734375,\n              48.439223211480595\n            ],\n            [\n              -105.2435302734375,\n              48.028509034432986\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ball, Lyndsay 0000-0002-6356-4693","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":214821,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":760887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deszcz-Pan, Maria 0000-0002-6298-5314","orcid":"https://orcid.org/0000-0002-6298-5314","contributorId":214822,"corporation":false,"usgs":true,"family":"Deszcz-Pan","given":"Maria","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":760888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thamke, Joanna 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":214823,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna","email":"jothamke@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Bruce 0000-0002-1643-2997","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":214824,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":760890,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203036,"text":"70203036 - 2019 - Mapping protected groundwater adjacent to oil and gas fields, San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2019-04-17T09:24:31","indexId":"70203036","displayToPublicDate":"2018-06-14T09:23:28","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Mapping protected groundwater adjacent to oil and gas fields, San Joaquin Valley, California","docAbstract":"<p>Airborne electromagnetic (AEM) surveys are a major component of a regional study of groundwater quality adjacent to oil and gas fields in the San Joaquin Valley of California, USA. AEM resistivity models are being used to delineate groundwater salinity in an effort to locate groundwater adjacent to oil and gas fields that could have future beneficial use. AEM models are also being used to improve our understanding of the hydrogeologic controls that may influence fluid transport between oil and gas operations and protected groundwater.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"7th annual conference on Airborne electromagnetics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"7th annual conference on Airborne electromagnetics","conferenceDate":"June 17-20, 2018","conferenceLocation":"Kolding, Denmark","language":"English","publisher":"AEM","usgsCitation":"Ball, L.B., Gillespie, J., Minsley, B., Davis, T., and Landon, M.K., 2019, Mapping protected groundwater adjacent to oil and gas fields, San Joaquin Valley, California, <i>in</i> 7th annual conference on Airborne electromagnetics, Kolding, Denmark, June 17-20, 2018.","ipdsId":"IP-095178","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":362996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362995,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.conferencemanager.dk/AEM2018/abstracts-presentations-posters.html"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.5,\n              35.75\n            ],\n            [\n              -119.5,\n              35.75\n            ],\n            [\n              -119.5,\n              37.5\n            ],\n            [\n              -121.5,\n              37.5\n            ],\n            [\n              -121.5,\n              35.75]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":760891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":203915,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":760892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":211849,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":760893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Tracy 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":176921,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760895,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197621,"text":"70197621 - 2019 - Historical sediment mercury deposition for select South Dakota, USA, lakes: implications for watershed transport and flooding","interactions":[],"lastModifiedDate":"2019-01-28T09:33:25","indexId":"70197621","displayToPublicDate":"2018-06-14T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2457,"text":"Journal of Soils and Sediments","active":true,"publicationSubtype":{"id":10}},"title":"Historical sediment mercury deposition for select South Dakota, USA, lakes: implications for watershed transport and flooding","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Purpose</strong></p><p id=\"Par1\" class=\"Para\">Select South Dakota, USA water bodies, including both natural lakes and man-made impoundments, were sampled and analyzed to assess mercury (Hg) dynamics and historical patterns of total Hg deposition.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Materials and methods</strong></p><p id=\"Par2\" class=\"Para\">Sediment cores were collected from seven South Dakota lakes. Mercury concentrations and flux profiles were determined using lead (<sup>210</sup>Pb) dating and sedimentation rates.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Results and discussion</strong></p><p id=\"Par3\" class=\"Para\">Most upper lake sediments contained variable heavy metal concentrations, but became more consistent with depth and age. Five of the seven lakes exhibited Hg accumulation fluxes that peaked between 1920 and 1960, while the remaining two lakes exhibited recent (1995–2009) Hg flux spikes. Historical sediment accumulation rates and Hg flux profiles demonstrate similar peak and stabilized values. Mercury in the sampled South Dakota lakes appears to emanate from watershed transport due to erosion from agricultural land use common to the Northern Great Plains.</p></div><div id=\"ASec4\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Conclusions</strong></p><p id=\"Par4\" class=\"Para\">For sampled South Dakota lakes, watershed inputs are more significant sources of Hg than atmospheric deposition.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s11368-018-2014-3","usgsCitation":"Squillace, M.K., Sieverding, H.L., Betemariam, H.H., Urban, N.R., Penn, M.R., DeSutter, T., Chipps, S.R., and Stone, J., 2019, Historical sediment mercury deposition for select South Dakota, USA, lakes: implications for watershed transport and flooding: Journal of Soils and Sediments, v. 19, no. 1, p. 415-428, https://doi.org/10.1007/s11368-018-2014-3.","productDescription":"14 p.","startPage":"415","endPage":"428","ipdsId":"IP-038644","costCenters":[{"id":199,"text":"Coop Res 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,{"id":70225828,"text":"70225828 - 2019 - Canada Basin","interactions":[],"lastModifiedDate":"2021-11-10T15:07:37.467722","indexId":"70225828","displayToPublicDate":"2018-06-12T09:02:18","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Canada Basin","docAbstract":"<p><span>Perennial sea-ice cover over much of Canada Basin of the Arctic Ocean has hampered geoscientific studies, but concerted efforts over the past decade– particularly with the use of two ice-breakers working collaboratively&nbsp;– has led to new seismic and sample acquisitions. These studies have revealed extensive non-oceanic basement beneath Canada Basin that coincides with proof of a central spreading axis and limited oceanic crust. Additionally, seismic reflection studies have shown its sedimentologic history and stratigraphic development. High resolution subbottom and multibeam detail have revealed its more recent geologic past, including the extent of ice margins during the Pleistocene and the role of submarine landslides and ocean currents within the basin. Despite this new information, there are still significant challenges in understanding the basin. These challenges result from the fact that the basin did not form by a simple rift/extension scenario, but rather more likely through a complexity of events that included variably oriented extension, trans-tension and transform tectonics. Additionally, emplacement of the high arctic magnetic domain (Alpha Ridge and Mendeleev Rise) masks underlying tectonic structures, and lack of age control inhibits correlation with global events.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic structures of the Arctic Basin","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-77742-9_10","usgsCitation":"Mosher, D., and Hutchinson, D., 2019, Canada Basin, chap. <i>of</i> Geologic structures of the Arctic Basin, p. 295-325, https://doi.org/10.1007/978-3-319-77742-9_10.","productDescription":"31 p.","startPage":"295","endPage":"325","ipdsId":"IP-094391","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":391575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Canada Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90,\n              83.19489563661588\n            ],\n            [\n              -138.8671875,\n              80.81689088640861\n            ],\n            [\n              -151.5234375,\n              74.77584300649235\n            ],\n            [\n              -150.46875,\n              73.62778879339942\n            ],\n            [\n              -151.5234375,\n              72.60712040027555\n            ],\n            [\n              -151.875,\n              70.95969716686398\n            ],\n            [\n              -140.9765625,\n              70.49557354093136\n            ],\n            [\n              -135.703125,\n              69.90011762668541\n            ],\n            [\n              -126.91406249999999,\n              72.50172235139388\n            ],\n            [\n              -125.15625000000001,\n              76.59854506890699\n            ],\n            [\n              -102.65625,\n              80.53207112232734\n            ],\n            [\n              -87.5390625,\n              82.8095114039649\n            ],\n            [\n              -90,\n              83.19489563661588\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2018-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Mosher, David","contributorId":174895,"corporation":false,"usgs":false,"family":"Mosher","given":"David","affiliations":[],"preferred":false,"id":826572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutchinson, Deborah 0000-0002-2544-5466 dhutchinson@usgs.gov","orcid":"https://orcid.org/0000-0002-2544-5466","contributorId":174836,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Deborah","email":"dhutchinson@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":826573,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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