{"pageNumber":"982","pageRowStart":"24525","pageSize":"25","recordCount":184660,"records":[{"id":70191697,"text":"70191697 - 2017 - Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse","interactions":[],"lastModifiedDate":"2017-10-17T17:00:22","indexId":"70191697","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Geodetic slip model of the 3 September 2016 M<sub>w</sub> 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse","title":"Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse","docAbstract":"<p><span>The 3 September 2016&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;5.8 Pawnee earthquake in northern Oklahoma is the largest earthquake ever recorded in Oklahoma. The coseismic deformation was measured with both Interferometric Synthetic Aperture Radar and Global Positioning System (GPS), with measureable signals of order 1&nbsp;cm and 1&nbsp;mm, respectively. We derive a coseismic slip model from Sentinel‐1A and Radarsat 2 interferograms and GPS static offsets, dominated by distributed left‐lateral strike slip on a primary west‐northwest–east‐southeast‐trending subvertical plane, whereas strike slip is concentrated near the hypocenter (5.6&nbsp;km depth), with maximum slip of ∼1  m located slightly east and down‐dip of the hypocenter. Based on systematic misfits of observed interferogram line‐of‐sight (LoS) displacements, with LoS based on shear‐dislocation models, a few decimeters of fault‐zone collapse are inferred in the hypocentral region where coseismic slip was the largest. This may represent the postseismic migration of large volumes of fluid away from the high‐slip areas, made possible by the creation of a temporary high‐permeability damage zone around the fault.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170002","usgsCitation":"Pollitz, F., Wicks, C., Schoenball, M., Ellsworth, W.L., and Murray, M., 2017, Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse: Seismological Research Letters, v. 88, no. 4, p. 983-993, https://doi.org/10.1785/0220170002.","productDescription":"11 p.","startPage":"983","endPage":"993","ipdsId":"IP-082300","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Pawnee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.5,\n              35.75\n            ],\n            [\n              -95.5,\n              35.75\n            ],\n            [\n              -95.5,\n              37\n            ],\n            [\n              -97.5,\n              37\n            ],\n            [\n              -97.5,\n              35.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd331a3","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wicks, Charles W. Jr. cwicks@usgs.gov","contributorId":3476,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles W.","suffix":"Jr.","email":"cwicks@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":713104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenball, Martin mschoenball@usgs.gov","contributorId":5760,"corporation":false,"usgs":true,"family":"Schoenball","given":"Martin","email":"mschoenball@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Mark","contributorId":197272,"corporation":false,"usgs":false,"family":"Murray","given":"Mark","affiliations":[],"preferred":false,"id":713107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192098,"text":"70192098 - 2017 - Calculation of in situ acoustic sediment attenuation using off-the-shelf horizontal ADCPs in low concentration settings","interactions":[],"lastModifiedDate":"2017-10-23T15:30:30","indexId":"70192098","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Calculation of in situ acoustic sediment attenuation using off-the-shelf horizontal ADCPs in low concentration settings","docAbstract":"<p><span>The use of “off-the-shelf” acoustic Doppler velocity profilers (ADCPs) to estimate suspended sediment concentration and grain-size in rivers requires robust methods to estimate sound attenuation by suspended sediment. Theoretical estimates of sediment attenuation require a priori knowledge of the concentration and grain-size distribution (GSD), making the method impractical to apply in routine monitoring programs. In situ methods use acoustic backscatter profile slope to estimate sediment attenuation, and are a more attractive option. However, the performance of in situ sediment attenuation methods has not been extensively compared to theoretical methods. We used three collocated horizontally mounted ADCPs in the Fraser River at Mission, British Columbia and 298 observations of concentration and GSD along the acoustic beams to calculate theoretical and in situ sediment attenuation. Conversion of acoustic intensity from counts to decibels is influenced by the instrument noise floor, which affects the backscatter profile shape and therefore in situ attenuation. We develop a method that converts counts to decibels to maximize profile length, which is useful in rivers where cross-channel acoustic profile penetration is a fraction of total channel width. Nevertheless, the agreement between theoretical and in situ attenuation is poor at low concentrations because cross-stream gradients in concentration, sediment size or GSD can develop, which affect the backscatter profiles. We establish threshold concentrations below which in situ attenuation is unreliable in Fraser River. Our results call for careful examination of cross-stream changes in suspended sediment characteristics and acoustic profiles across a range of flows before in situ attenuation methods are applied in river monitoring programs.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016WR019695","usgsCitation":"Haught, D., Venditti, J., and Wright, S., 2017, Calculation of in situ acoustic sediment attenuation using off-the-shelf horizontal ADCPs in low concentration settings: Water Resources Research, v. 53, no. 6, p. 5017-5037, https://doi.org/10.1002/2016WR019695.","productDescription":"21 p.","startPage":"5017","endPage":"5037","ipdsId":"IP-087639","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":347160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"59eeffa8e4b0220bbd988fa3","contributors":{"authors":[{"text":"Haught, Dan","contributorId":149407,"corporation":false,"usgs":false,"family":"Haught","given":"Dan","affiliations":[],"preferred":false,"id":714226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Venditti, Jeremy G. 0000-0002-2876-4251","orcid":"https://orcid.org/0000-0002-2876-4251","contributorId":197757,"corporation":false,"usgs":false,"family":"Venditti","given":"Jeremy G.","affiliations":[],"preferred":false,"id":714227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714225,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192080,"text":"70192080 - 2017 - Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection","interactions":[],"lastModifiedDate":"2017-10-19T15:33:13","indexId":"70192080","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection","docAbstract":"<p><span>Understanding species–habitat relationships for endangered species is critical for their conservation. However, many studies have limited value for conservation because they fail to account for habitat associations at multiple spatial scales, anthropogenic variables, and imperfect detection. We addressed these three limitations by developing models for an endangered wetland bird, Yuma Ridgway's rail (</span><i>Rallus obsoletus yumanensis</i><span>), that examined how the spatial scale of environmental variables, inclusion of anthropogenic disturbance variables, and accounting for imperfect detection in validation data influenced model performance. These models identified associations between environmental variables and occupancy. We used bird survey and spatial environmental data at 2473 locations throughout the species' U.S. range to create and validate occupancy models and produce predictive maps of occupancy. We compared habitat-based models at three spatial scales (100, 224, and 500&nbsp;m radii buffers) with and without anthropogenic disturbance variables using validation data adjusted for imperfect detection and an unadjusted validation dataset that ignored imperfect detection. The inclusion of anthropogenic disturbance variables improved the performance of habitat models at all three spatial scales, and the 224-m-scale model performed best. All models exhibited greater predictive ability when imperfect detection was incorporated into validation data. Yuma Ridgway's rail occupancy was negatively associated with ephemeral and slow-moving riverine features and high-intensity anthropogenic development, and positively associated with emergent vegetation, agriculture, and low-intensity development. Our modeling approach accounts for common limitations in modeling species–habitat relationships and creating predictive maps of occupancy probability and, therefore, provides a useful framework for other species.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1837","usgsCitation":"Glisson, W.J., Conway, C.J., Nadeau, C.P., and Borgmann, K.L., 2017, Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection: Ecosphere, v. 8, no. 6, p. 1-20, https://doi.org/10.1002/ecs2.1837.","productDescription":"e01837; 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-082202","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1837","text":"Publisher Index Page"},{"id":347000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.52099609375,\n              32.57459172113418\n            ],\n            [\n              -112.43408203124999,\n              32.57459172113418\n            ],\n            [\n              -112.43408203124999,\n              36.86204269508728\n            ],\n            [\n              -116.52099609375,\n              36.86204269508728\n            ],\n            [\n              -116.52099609375,\n              32.57459172113418\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-02","publicationStatus":"PW","scienceBaseUri":"59e9b994e4b05fe04cd65c8b","contributors":{"authors":[{"text":"Glisson, Wesley J.","contributorId":171646,"corporation":false,"usgs":false,"family":"Glisson","given":"Wesley","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nadeau, Christopher P.","contributorId":105956,"corporation":false,"usgs":true,"family":"Nadeau","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borgmann, Kathi L.","contributorId":171647,"corporation":false,"usgs":false,"family":"Borgmann","given":"Kathi","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714097,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193620,"text":"70193620 - 2017 - Microhabitat selection of the Virginia Northern Flying Squirrel (Glaucomys sabrinus fuscus Miller) in the central Appalachians","interactions":[],"lastModifiedDate":"2017-11-13T15:14:44","indexId":"70193620","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Microhabitat selection of the Virginia Northern Flying Squirrel (<i>Glaucomys sabrinus fuscus</i> Miller) in the central Appalachians","title":"Microhabitat selection of the Virginia Northern Flying Squirrel (Glaucomys sabrinus fuscus Miller) in the central Appalachians","docAbstract":"<p><i>Glaucomys sabrinus fuscus</i><span><span>&nbsp;</span>(Virginia Northern Flying Squirrel; VNFS) is a rare Sciurid that occurrs in the Allegheny Mountains of eastern West Virginia and northwest Virginia. Previous work on this subspecies has confirmed close associations with<span>&nbsp;</span></span><i>Picea rubens</i><span><span>&nbsp;</span>(Red Spruce) at the landscape and stand levels in the region. However, ongoing Red Spruce restoration actions using canopy-gap creation to release single or small groups of trees requires a better understanding of within-stand habitat selection of VNFS to assess potential short- and medium-term impacts. To address these questions, we conducted a microhabitat study using radio-collared squirrels in montane conifer and mixed conifer—hardwood stands. We used points obtained from telemetry surveys and randomly generated points within each squirrel's home range to compare microhabitat variables for 13 individuals. We found that VNFS preferentially selected plots with conifer-dominant overstories and deep organic-soil horizons. VNFS avoided plots with dense Red Spruce regeneration in the understory in stands with hardwood-dominated overstories—the types of areas targeted for Red Spruce restoration. We also opportunistically searched for hypogeal fungi at telemetry points and found 3 species of<span>&nbsp;</span></span><i>Elaphomyces</i><span><span>&nbsp;</span>during our surveys. Our results indicate that microhabitat selection is associated with Red Spruce-dominant forests. Efforts to restore Red Spruce where hardwoods dominate in the central Appalachians may improve the connectivity and extent of habitat of VNFS.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.024.0209","usgsCitation":"Diggins, C.A., and Ford, W., 2017, Microhabitat selection of the Virginia Northern Flying Squirrel (Glaucomys sabrinus fuscus Miller) in the central Appalachians: Northeastern Naturalist, v. 24, no. 2, p. 173-190, https://doi.org/10.1656/045.024.0209.","productDescription":"18 p.","startPage":"173","endPage":"190","ipdsId":"IP-068510","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Appalachian Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.13565063476562,\n              38.39226254196437\n            ],\n            [\n              -79.75799560546875,\n              38.39226254196437\n            ],\n            [\n              -79.75799560546875,\n              38.60721278935162\n            ],\n            [\n              -80.13565063476562,\n              38.60721278935162\n            ],\n            [\n              -80.13565063476562,\n              38.39226254196437\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-15","publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c2352b","contributors":{"authors":[{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":721873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719654,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192846,"text":"70192846 - 2017 - The recent warming trend in North Greenland","interactions":[],"lastModifiedDate":"2017-11-17T10:49:13","indexId":"70192846","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The recent warming trend in North Greenland","docAbstract":"<p><span>The Arctic is among the fastest warming regions on Earth, but it is also one with limited spatial coverage of multidecadal instrumental surface air temperature measurements. Consequently, atmospheric reanalyses are relatively unconstrained in this region, resulting in a large spread of estimated 30&nbsp;year recent warming trends, which limits their use to investigate the mechanisms responsible for this trend. Here we present a surface temperature reconstruction over 1982–2011 at NEEM (North Greenland Eemian Ice Drilling Project, 51°W, 77°N), in North Greenland, based on the inversion of borehole temperature and inert gas isotope data. We find that NEEM has warmed by 2.7&nbsp;±&nbsp;0.33°C over the past 30&nbsp;years, from the long-term 1900–1970 average of −28.55&nbsp;±&nbsp;0.29°C. The warming trend is principally caused by an increase in downward longwave heat flux. Atmospheric reanalyses underestimate this trend by 17%, underlining the need for more in situ observations to validate reanalyses.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL072212","usgsCitation":"Orsi, A.J., Kawamura, K., Masson-Delmotte, V., Fettweis, X., Box, J.E., Dahl-Jensen, D., Clow, G.D., Landais, A., and Severinghaus, J.P., 2017, The recent warming trend in North Greenland: Geophysical Research Letters, v. 44, no. 12, p. 6235-6243, https://doi.org/10.1002/2016GL072212.","productDescription":"9 p.","startPage":"6235","endPage":"6243","ipdsId":"IP-065150","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469784,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl072212","text":"Publisher Index Page"},{"id":349054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-28","publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c23538","contributors":{"authors":[{"text":"Orsi, Anais J.","contributorId":140705,"corporation":false,"usgs":false,"family":"Orsi","given":"Anais","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kawamura, Kenji","contributorId":195041,"corporation":false,"usgs":false,"family":"Kawamura","given":"Kenji","email":"","affiliations":[],"preferred":false,"id":717178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masson-Delmotte, Valerie","contributorId":198808,"corporation":false,"usgs":false,"family":"Masson-Delmotte","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":717179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fettweis, Xavier","contributorId":198810,"corporation":false,"usgs":false,"family":"Fettweis","given":"Xavier","email":"","affiliations":[],"preferred":false,"id":717181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Box, Jason E.","contributorId":198809,"corporation":false,"usgs":false,"family":"Box","given":"Jason","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":717180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dahl-Jensen, Dorthe","contributorId":198811,"corporation":false,"usgs":false,"family":"Dahl-Jensen","given":"Dorthe","email":"","affiliations":[],"preferred":false,"id":717182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clow, Gary D. 0000-0002-2262-3853 clow@usgs.gov","orcid":"https://orcid.org/0000-0002-2262-3853","contributorId":2066,"corporation":false,"usgs":true,"family":"Clow","given":"Gary","email":"clow@usgs.gov","middleInitial":"D.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":717176,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Landais, Amaelle","contributorId":198812,"corporation":false,"usgs":false,"family":"Landais","given":"Amaelle","email":"","affiliations":[],"preferred":false,"id":717183,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Severinghaus, Jeffrey P.","contributorId":140715,"corporation":false,"usgs":false,"family":"Severinghaus","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":717184,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192964,"text":"70192964 - 2017 - Temporal genetic population structure and interannual variation in migration behavior of Pacific Lamprey Entosphenus tridentatus","interactions":[],"lastModifiedDate":"2017-11-07T12:32:37","indexId":"70192964","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Temporal genetic population structure and interannual variation in migration behavior of Pacific Lamprey <i>Entosphenus tridentatus</i>","title":"Temporal genetic population structure and interannual variation in migration behavior of Pacific Lamprey Entosphenus tridentatus","docAbstract":"<p><span>Studies using neutral loci suggest that Pacific lamprey,&nbsp;</span><i class=\"EmphasisTypeItalic \">Entosphenus tridentatus</i><span>, lack strong spatial genetic population structure. However, it is unknown whether temporal genetic population structure exists. We tested whether adult Pacific lamprey: (1) show temporal genetic population structure; and (2) migrate different distances between years. We non-lethally sampled lamprey for DNA in 2009 and 2010 and used eight microsatellite loci to test for genetic population structure. We used telemetry to record the migration behaviors of these fish. Lamprey were assignable to three moderately differentiated genetic clusters (</span><i class=\"EmphasisTypeItalic \">F</i><sub>ST</sub><span>&nbsp;=&nbsp;0.16–0.24 for all pairwise comparisons): one cluster was composed of individuals from 2009, and the other two contained individuals from 2010. The<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">F</i><sub>ST</sub><span><span>&nbsp;</span>value between years was 0.13 and between genetic clusters within 2010 was 0.20. A total of 372 (72.5%) fish were detected multiple times during their migrations. Most fish (69.9%) remained in the mainstem Willamette River; the remaining 30.1% migrated into tributaries. Eighty-two lamprey exhibited multiple back-and-forth movements among tributaries and the mainstem, which may indicate searching behaviors. All migration distances were significantly greater in 2010, when the amplitude of river discharge was greater. Our data suggest genetic structuring between and within years that may reflect different cohorts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3096-4","usgsCitation":"Clemens, B.J., Wyss, L.A., McCoun, R., Courter, I., Schwabe, L., Peery, C., Schreck, C.B., Spice, E.K., and Docker, M.F., 2017, Temporal genetic population structure and interannual variation in migration behavior of Pacific Lamprey Entosphenus tridentatus: Hydrobiologia, v. 794, no. 1, p. 223-240, https://doi.org/10.1007/s10750-017-3096-4.","productDescription":"18 p.","startPage":"223","endPage":"240","ipdsId":"IP-085011","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.4918212890625,\n              43.64800079902171\n            ],\n            [\n              -121.78344726562499,\n              43.64800079902171\n            ],\n            [\n              -121.78344726562499,\n              45.706179285330855\n            ],\n            [\n              -123.4918212890625,\n              45.706179285330855\n            ],\n            [\n              -123.4918212890625,\n              43.64800079902171\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"794","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"5a07e8dee4b09af898c8cbc5","contributors":{"authors":[{"text":"Clemens, Benjamin J.","contributorId":195098,"corporation":false,"usgs":false,"family":"Clemens","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wyss, Lance A.","contributorId":195114,"corporation":false,"usgs":false,"family":"Wyss","given":"Lance","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCoun, Rebecca","contributorId":200082,"corporation":false,"usgs":false,"family":"McCoun","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":720921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courter, Ian","contributorId":173188,"corporation":false,"usgs":false,"family":"Courter","given":"Ian","affiliations":[{"id":27180,"text":"Mount Hood Environmental","active":true,"usgs":false}],"preferred":false,"id":720922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwabe, Lawrence","contributorId":200083,"corporation":false,"usgs":false,"family":"Schwabe","given":"Lawrence","email":"","affiliations":[],"preferred":false,"id":720923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peery, Christopher","contributorId":200084,"corporation":false,"usgs":false,"family":"Peery","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":720924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717453,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spice, Erin K.","contributorId":200085,"corporation":false,"usgs":false,"family":"Spice","given":"Erin","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":720925,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Docker, Margaret F.","contributorId":195099,"corporation":false,"usgs":false,"family":"Docker","given":"Margaret","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720926,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70191604,"text":"70191604 - 2017 - Global synthesis of the documented and projected effects of climate change on inland fishes","interactions":[],"lastModifiedDate":"2021-06-04T15:57:08.554114","indexId":"70191604","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Global synthesis of the documented and projected effects of climate change on inland fishes","docAbstract":"<p><span>Although climate change is an important factor affecting inland fishes globally, a comprehensive review of how climate change has impacted and will continue to impact inland fishes worldwide does not currently exist. We conducted an extensive, systematic primary literature review to identify English-language, peer-reviewed journal publications with projected and documented examples of climate change impacts on inland fishes globally. Since the mid-1980s, scientists have projected the effects of climate change on inland fishes, and more recently, documentation of climate change impacts on inland fishes has increased. Of the thousands of title and abstracts reviewed, we selected 624 publications for a full text review: 63 of these publications documented an effect of climate change on inland fishes, while 116 publications projected inland fishes’ response to future climate change. Documented and projected impacts of climate change varied, but several trends emerged including differences between documented and projected impacts of climate change on salmonid abundance (</span><i>P</i><span>&nbsp;=&nbsp;0.0002). Salmonid abundance decreased in 89.5% of documented effects compared to 35.7% of projected effects, where variable effects were more commonly reported (64.3%). Studies focused on responses of salmonids (61% of total) to climate change in North America and Europe, highlighting major gaps in the literature for taxonomic groups and geographic focus. Elucidating global patterns and identifying knowledge gaps of climate change effects on inland fishes will help managers better anticipate local changes in fish populations and assemblages, resulting in better development of management plans, particularly in systems with little information on climate change effects on fish.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11160-017-9476-z","usgsCitation":"Myers, B., Lynch, A., Bunnell, D.B., Chu, C., Falke, J.A., Kovach, R., Krabbenhoft, T.J., Kwak, T.J., and Paukert, C.P., 2017, Global synthesis of the documented and projected effects of climate change on inland fishes: Reviews in Fish Biology and Fisheries, v. 27, no. 2, p. 339-361, https://doi.org/10.1007/s11160-017-9476-z.","productDescription":"23 p.","startPage":"339","endPage":"361","ipdsId":"IP-079917","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":347242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d96","contributors":{"authors":[{"text":"Myers, Bonnie 0000-0002-3170-2633 bjmyers@usgs.gov","orcid":"https://orcid.org/0000-0002-3170-2633","contributorId":176495,"corporation":false,"usgs":true,"family":"Myers","given":"Bonnie","email":"bjmyers@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":712848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":712849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":195888,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","email":"dbunnell@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":712850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chu, Cindy","contributorId":176496,"corporation":false,"usgs":false,"family":"Chu","given":"Cindy","email":"","affiliations":[],"preferred":false,"id":712851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":712852,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":712853,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, Trevor J.","contributorId":176498,"corporation":false,"usgs":false,"family":"Krabbenhoft","given":"Trevor","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712854,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":712855,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":712856,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70191603,"text":"70191603 - 2017 - Songbirds are resilient to hurricane disturbed habitats during spring migration","interactions":[],"lastModifiedDate":"2022-11-02T13:51:52.509997","indexId":"70191603","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Songbirds are resilient to hurricane disturbed habitats during spring migration","docAbstract":"<p><span>The Gulf of Mexico is a conspicuous feature of the Neotropical–Nearctic bird migration system. Traveling long distances across ecological barriers comes with considerable risks, and mortality associated with intercontinental migration may be substantial, including that caused by storms or other adverse weather events. However, little, if anything, is known about how migratory birds respond to disturbance-induced changes in stopover habitat. Isolated, forested cheniere habitat along the northern coast of the Gulf of Mexico often concentrate migrants, during weather conditions unfavorable for northward movement or when birds are energetically stressed. We expected hurricane induced degradation of this habitat to negatively affect the abundance, propensity to stopover, and fueling trends of songbirds that stopover in coastal habitat. We used spring banding data collected in coastal Louisiana to compare migrant abundance and fueling trends before (1993–1996 and 1998–2005) and after hurricanes Rita (2006) and Ike (2009). We also characterized changes in vegetative structure before (1995) and after (2010) the hurricanes. The hurricanes caused dramatic changes to the vegetative structure, which likely decreased resources. Surprisingly, abundance, propensity to stopover, and fueling trends of most migrant species were not influenced by hurricane disturbance. Our results suggest that: 1) the function of chenieres as a refuge for migrants after completing a trans-Gulf flight may not have changed despite significant changes to habitat and decreases in resource availability, and 2) that most migrants may be able to cope with habitat disturbance during stopover. The fact that migrants use disturbed habitat points to their conservation value along the northern coast of the Gulf of Mexico.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jav.01215","usgsCitation":"Lain, E., Zenzal, T.J., Moore, F.R., Barrow, W., and Diehl, R.H., 2017, Songbirds are resilient to hurricane disturbed habitats during spring migration: Journal of Avian Biology, v. 48, no. 6, p. 815-826, https://doi.org/10.1111/jav.01215.","productDescription":"12 p.","startPage":"815","endPage":"826","ipdsId":"IP-079284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":347255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.65792584983939,\n              29.761961814735386\n            ],\n            [\n              -93.65792584983939,\n              29.748602525985405\n            ],\n            [\n              -93.59138240270923,\n              29.748602525985405\n            ],\n            [\n              -93.59138240270923,\n              29.761961814735386\n            ],\n            [\n              -93.65792584983939,\n              29.761961814735386\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-15","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d98","contributors":{"authors":[{"text":"Lain, Emily","contributorId":197195,"corporation":false,"usgs":false,"family":"Lain","given":"Emily","affiliations":[],"preferred":false,"id":712845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":140179,"corporation":false,"usgs":false,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":13403,"text":"University of Southern Mississippi, Department of Biological Sciences, Hattiesburg, Mississippi, USA","active":true,"usgs":false}],"preferred":false,"id":712846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Frank R.","contributorId":54582,"corporation":false,"usgs":false,"family":"Moore","given":"Frank","email":"","middleInitial":"R.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":712847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrow, Wylie C. Jr. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":168953,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","suffix":"Jr.","email":"barroww@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":712843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":712844,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178839,"text":"70178839 - 2017 - Guidelines for evaluation and treatment of lead poisoning of wild raptors","interactions":[],"lastModifiedDate":"2017-11-22T16:57:44","indexId":"70178839","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Guidelines for evaluation and treatment of lead poisoning of wild raptors","docAbstract":"<p><span>Lead poisoning is a threat to birds, particularly scavenging birds of prey. With the availability of portable lead-testing kits, an increasing number of field researchers are testing wild-caught birds,&nbsp;</span><i>in situ</i><span>, for lead poisoning. We describe guidelines for evaluation of lead toxicity in wild raptors by outlining field testing of blood-lead concentrations, presenting criteria for removing a lead-poisoned bird from the wild for treatment, and suggesting strategies for effective treatment of lead intoxicated raptors. Field testing of birds is most commonly accomplished via portable electrochemical analysis of blood; visual observation of condition alone may provide insufficient evidence upon which to make a decision about lead poisoning. Our intended audience is not only the avian research community, but also rehabilitation facilities that may receive apparently uninjured birds. Best practices suggest that birds whose blood-lead levels are &lt;40 μg/dL be released back to the wild as soon as possible after capture. The decision to release or treat birds with blood-lead levels between 40 μg/dL and 60 μg/dL should be made based on the presence of clinical signs of poisoning and relevant biological characteristics (e.g., breeding status). Finally, birds with blood-lead levels &gt;60 μg/dL are potentially lethally poisoned and best served if removed from the wild for appropriate treatment at a licensed rehabilitation facility and later released. We present guidelines for decision-making when treating lead poisoning of wild raptors. Future work based on experimental studies will clarify the role of lead poisoning for specific species and be important to refine these guidelines to improve effectiveness.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.762","usgsCitation":"Fallon, J.A., Redig, P., Miller, T., Lanzone, M., and Katzner, T.E., 2017, Guidelines for evaluation and treatment of lead poisoning of wild raptors: Wildlife Society Bulletin, v. 41, no. 2, p. 205-211, https://doi.org/10.1002/wsb.762.","productDescription":"7 p.","startPage":"205","endPage":"211","ipdsId":"IP-060066","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":499881,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/f32edd4a088c4af3b5e65649dd7f67fb","text":"External Repository"},{"id":345867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-14","publicationStatus":"PW","scienceBaseUri":"59c0db1ee4b091459a5f4737","contributors":{"authors":[{"text":"Fallon, Jesse A.","contributorId":177315,"corporation":false,"usgs":false,"family":"Fallon","given":"Jesse","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":710737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Redig, Patrick","contributorId":177316,"corporation":false,"usgs":false,"family":"Redig","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":710738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Tricia A.","contributorId":64790,"corporation":false,"usgs":true,"family":"Miller","given":"Tricia A.","affiliations":[],"preferred":false,"id":710739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanzone, Michael J.","contributorId":140128,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":710740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191909,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd","email":"tkatzner@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":710741,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193291,"text":"70193291 - 2017 - Uncertainties in forecasting the response of polar bears to global climate change","interactions":[],"lastModifiedDate":"2021-04-26T15:04:42.409319","indexId":"70193291","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Uncertainties in forecasting the response of polar bears to global climate change","docAbstract":"<p><span>Several sources of uncertainty affect how precisely the future status of polar bears (</span><i class=\"EmphasisTypeItalic \">Ursus maritimus</i><span>) can be forecasted. Foremost are unknowns about the future levels of global greenhouse gas emissions, which could range from an unabated increase to an aggressively mitigated reduction. Uncertainties also arise because different climate models project different amounts and rates of future warming (and sea ice loss)—even for the same emission scenario. There are also uncertainties about how global warming could affect the Arctic Ocean’s food web, so even if climate models project the presence of sea ice in the future, the availability of polar bear prey is not guaranteed. Under a worst-case emission scenario in which rates of greenhouse gas emissions continue to rise unabated to century’s end, the uncertainties about polar bear status center on a potential for extinction. If the species were to persist, it would likely be restricted to a high-latitude refugium in northern Canada and Greenland—assuming a food web also existed with enough accessible prey to fuel weight gains for surviving onshore during the most extreme years of summer ice melt. On the other hand, if emissions were to be aggressively mitigated at the levels proposed in the Paris Climate Agreement, healthy polar bear populations would probably continue to occupy all but the most southern areas of their contemporary summer range. While polar bears have survived previous warming phases—which indicate some resiliency to the loss of sea ice habitat—what is certain is that the present pace of warming is unprecedented and will increasingly expose polar bears to historically novel stressors.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine animal welfare","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-46994-2_25","usgsCitation":"Douglas, D.C., and Atwood, T.C., 2017, Uncertainties in forecasting the response of polar bears to global climate change, chap. <i>of</i> Marine animal welfare, p. 463-473, https://doi.org/10.1007/978-3-319-46994-2_25.","productDescription":"11 p.","startPage":"463","endPage":"473","ipdsId":"IP-076001","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":349594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c23530","contributors":{"editors":[{"text":"Butterworth, Andy","contributorId":45100,"corporation":false,"usgs":false,"family":"Butterworth","given":"Andy","email":"","affiliations":[],"preferred":false,"id":724155,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":718567,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192643,"text":"70192643 - 2017 - The greenscape shapes surfing of resource waves in a large migratory herbivore","interactions":[],"lastModifiedDate":"2017-11-07T10:55:27","indexId":"70192643","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"The greenscape shapes surfing of resource waves in a large migratory herbivore","docAbstract":"<p><span>The Green Wave Hypothesis posits that herbivore migration manifests in response to waves of spring green-up (i.e. green-wave surfing). Nonetheless, empirical support for the Green Wave Hypothesis is mixed, and a framework for understanding variation in surfing is lacking. In a population of migratory mule deer (</span><i>Odocoileus hemionus</i><span>), 31% surfed plant phenology in spring as well as a theoretically perfect surfer, and 98% surfed better than random. Green-wave surfing varied among individuals and was unrelated to age or energetic state. Instead, the greenscape, which we define as the order, rate and duration of green-up along migratory routes, was the primary factor influencing surfing. Our results indicate that migratory routes are more than a link between seasonal ranges, and they provide an important, but often overlooked, foraging habitat. In addition, the spatiotemporal configuration of forage resources that propagate along migratory routes shape animal movement and presumably, energy gains during migration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.12772","usgsCitation":"Aikens, E.O., Kauffman, M., Merkle, J., Dwinnell, S., Fralick, G.L., and Monteith, K.L., 2017, The greenscape shapes surfing of resource waves in a large migratory herbivore: Ecology Letters, v. 20, no. 6, p. 741-750, https://doi.org/10.1111/ele.12772.","productDescription":"10 p.","startPage":"741","endPage":"750","ipdsId":"IP-082177","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","volume":"20","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-25","publicationStatus":"PW","scienceBaseUri":"5a07e8dee4b09af898c8cbc9","contributors":{"authors":[{"text":"Aikens, Ellen O.","contributorId":198653,"corporation":false,"usgs":false,"family":"Aikens","given":"Ellen","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":716638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merkle, Jerod","contributorId":172972,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","affiliations":[{"id":35288,"text":"Wyoming Cooperative Fish and Wildlife Research Unit, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":716639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwinnell, Samantha","contributorId":198654,"corporation":false,"usgs":false,"family":"Dwinnell","given":"Samantha","email":"","affiliations":[],"preferred":false,"id":716640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fralick, Gary L.","contributorId":198655,"corporation":false,"usgs":false,"family":"Fralick","given":"Gary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monteith, Kevin L.","contributorId":198656,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716642,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192641,"text":"70192641 - 2017 - Alternative foraging strategies enable a mountain ungulate to persist after migration loss","interactions":[],"lastModifiedDate":"2017-11-07T11:19:46","indexId":"70192641","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Alternative foraging strategies enable a mountain ungulate to persist after migration loss","docAbstract":"<p><span>The persistence of many migratory ungulate populations worldwide is threatened due to anthropogenic impacts to seasonal ranges and migration routes. While many studies have linked migratory ungulate declines to migration disruption or loss, very few have explored the underlying factors that determine whether a population perishes or persists. In some cases, populations undergo severe declines and extirpation after migration loss; however, others appear able to persist as residents. We predict that to persist, populations must replace the traditional benefits of migration by altering the foraging strategies they employ as residents within one seasonal range. We propose the alternative foraging strategies (AFS) hypothesis as a framework for identifying various behavioral strategies that populations may use to cope with migration loss. We tested the hypothesis using the formerly migratory Teton bighorn sheep population in northwest Wyoming, which ceased migrating over 60&nbsp;yr ago, but has persisted as a resident population. We used global positioning system data to evaluate winter and summer habitat selection and seasonal elevational movements for 28 adult female bighorn sheep (</span><i>Ovis canadensis</i><span>) from 2008 to 2010. Resource selection functions revealed that bighorn sheep employ winter foraging strategies to survive as residents by seeking out rugged, high-elevation, windswept ridgelines. Seasonal movement analyses indicated that bighorn sheep undergo a newly documented “abbreviated migration” strategy that is closely synchronized with vegetation green-up patterns within their one range. Bighorn sheep descend 500&nbsp;m in elevation and travel up to 10&nbsp;km in spring, gaining access to newly emergent forage approximately 30&nbsp;d before it appears on their high-elevation winter and summer ranges. Our findings indicate that the Teton bighorn sheep population has persisted due to its habitat selection, AFS, and unique movement patterns, which allow migration loss to be mediated to some extent. The identification of AFS and the habitats that support them can help reveal the underlying benefits of migration and conserve populations in the face of future migration loss.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1855","usgsCitation":"Courtemanch, A.B., Kauffman, M., Kilpatrick, S., and Dewey, S., 2017, Alternative foraging strategies enable a mountain ungulate to persist after migration loss: Ecosphere, v. 8, no. 6, p. 1-16, https://doi.org/10.1002/ecs2.1855.","productDescription":"Article e01855; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-084521","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1855","text":"Publisher Index Page"},{"id":348356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Teton Mountain Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.03744506835938,\n              43.43397432280115\n            ],\n            [\n              -110.7147216796875,\n              43.43397432280115\n            ],\n            [\n              -110.7147216796875,\n              43.866218006556394\n            ],\n            [\n              -111.03744506835938,\n              43.866218006556394\n            ],\n            [\n              -111.03744506835938,\n              43.43397432280115\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"5a07e8dee4b09af898c8cbcb","contributors":{"authors":[{"text":"Courtemanch, Alyson B.","contributorId":198651,"corporation":false,"usgs":false,"family":"Courtemanch","given":"Alyson","email":"","middleInitial":"B.","affiliations":[{"id":35682,"text":"Wyoming Game and Fish Department, Jackson, WY","active":true,"usgs":false}],"preferred":false,"id":716631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":716630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kilpatrick, Steve","contributorId":198652,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"Steve","email":"","affiliations":[],"preferred":false,"id":716632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewey, Sarah","contributorId":145757,"corporation":false,"usgs":false,"family":"Dewey","given":"Sarah","affiliations":[{"id":16229,"text":"National Park Service, Grand Teton National Park, PO Drawer 170, Moose, WY 83012 USA","active":true,"usgs":false}],"preferred":false,"id":716633,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192220,"text":"70192220 - 2017 - Sources and ages of fine-grained sediment to streams using fallout radionuclides in the Midwestern United States","interactions":[],"lastModifiedDate":"2017-10-24T12:55:07","indexId":"70192220","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Sources and ages of fine-grained sediment to streams using fallout radionuclides in the Midwestern United States","docAbstract":"<p><span>Fallout radionuclides,&nbsp;</span><sup>7</sup><span>Be and<span>&nbsp;</span></span><sup>210</sup><span>Pb</span><sub>ex</sub><span>, sampled in bed sediment for 99 watersheds in the Midwestern region of the United States and in 15 samples of suspended sediment from 3 of these watersheds were used to partition upland from channel sources and to estimate the age or the time since the surface-derived portion of sediment was on the land surface (0–∼1 year). Channel sources dominate: 78 of the 99 bed material sites (79%) have &gt;50% channel-derived sediment, and 9 of the 15 suspended-sediment samples (60%) have &gt;50% channel-derived sediment.<span>&nbsp;</span></span><sup>7</sup><span>Be was detected in 82 bed sediment samples and all 15 suspended-sediment samples. The surface-derived portion of 54 of the 80 (68%) streams with detectable<span>&nbsp;</span></span><sup>7</sup><span>Be and<span>&nbsp;</span></span><sup>210</sup><span>Pb</span><sub>ex</sub><span><span>&nbsp;</span>were&nbsp;≤&nbsp;100 days old and the surface-derived portion of all suspended-sediment samples were&nbsp;≤&nbsp;100 days old, indicating that surface-derived fine-grained sediment moves rapidly though these systems. The concentrations of two hydrophobic pesticides–DDE and bifenthrin–are correlated with the proportion of surface-derived sediment, indicating a link between geomorphic processes and particle-associated contaminants in streams. Urban areas had the highest pesticide concentrations and the largest percentage of surface-derived sediment. Although the percentage of surface-derived sediment is less than channel sources at most of the study sites, the relatively young age of the surface-derived sediment might indicate that management actions to reduce sediment contamination where the land surface is an important source could have noticeable effects.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.06.018","usgsCitation":"Gellis, A.C., Fuller, C.C., and Van Metre, P., 2017, Sources and ages of fine-grained sediment to streams using fallout radionuclides in the Midwestern United States: Journal of Environmental Management, v. 194, p. 73-85, https://doi.org/10.1016/j.jenvman.2016.06.018.","productDescription":"13 p.","startPage":"73","endPage":"85","ipdsId":"IP-072072","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":488722,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":714842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":197363,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":714844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193783,"text":"70193783 - 2017 - Daily survival rate and habitat characteristics of nests of Wilson's Plover","interactions":[],"lastModifiedDate":"2017-11-06T08:10:19","indexId":"70193783","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Daily survival rate and habitat characteristics of nests of Wilson's Plover","docAbstract":"<p>We assessed habitat characteristics and measured daily survival rate of 72 nests of <i>Charadrius wilsonia</i> (Wilson's Plover) during 2012 and 2013 on South Island and Sand Island on the central coast of South Carolina. At both study areas, nest sites were located at slightly higher elevations (i.e., small platforms of sand) relative to randomly selected nearby unused sites, and nests at each study area also appeared to be situated to enhance crypsis and/or vigilance. Daily survival rate (DSR) of nests ranged from 0.969 to 0.988 among study sites and years, and the probability of nest survival ranged from 0.405 to 0.764. Flooding and predation were the most common causes of nest failure at both sites. At South Island, DSR was most strongly related to maximum tide height, which suggests that flooding and overwash may be common causes of nest loss for Wilson's Plovers at these study sites. The difference in model results between the 2 nearby study sites may be partially due to more-frequent flooding at Sand Island because of some underlying yet unmeasured physiographic feature. Remaining data gaps for the species include regional assessments of nest and chick survival and habitat requirements during chick rearing.</p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.016.0203","usgsCitation":"Zinsser, E., Sanders, F.J., Gerard, P., and Jodice, P.G., 2017, Daily survival rate and habitat characteristics of nests of Wilson's Plover: Southeastern Naturalist, v. 16, no. 2, p. 149-156, https://doi.org/10.1656/058.016.0203.","productDescription":"8 p.","startPage":"149","endPage":"156","ipdsId":"IP-073336","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Sand Island, South Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.2172622680664,\n              33.16658236914082\n            ],\n            [\n              -79.15340423583984,\n              33.16658236914082\n            ],\n            [\n              -79.15340423583984,\n              33.224903086263964\n            ],\n            [\n              -79.2172622680664,\n              33.224903086263964\n            ],\n            [\n              -79.2172622680664,\n              33.16658236914082\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-08","publicationStatus":"PW","scienceBaseUri":"5a07e8d2e4b09af898c8cbb5","contributors":{"authors":[{"text":"Zinsser, Elizabeth","contributorId":14315,"corporation":false,"usgs":false,"family":"Zinsser","given":"Elizabeth","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":720504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders, Felicia J.","contributorId":56574,"corporation":false,"usgs":false,"family":"Sanders","given":"Felicia","email":"","middleInitial":"J.","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":720550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerard, Patrick D.","contributorId":140181,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick D.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":720551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":720552,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188896,"text":"70188896 - 2017 - Incipient motion of sand-oil agglomerates","interactions":[],"lastModifiedDate":"2017-06-27T13:05:47","indexId":"70188896","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Incipient motion of sand-oil agglomerates","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Schippers, M.M., Jacobsen, N.G., Dalyander, P.S., Nelson, T., and McCall, R.T., 2017, Incipient motion of sand-oil agglomerates, <i>in</i> Proceedings of Coastal Dynamics 2017, p. 1290-1301.","productDescription":"12 p.","startPage":"1290","endPage":"1301","ipdsId":"IP-086009","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":342975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342927,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea6e4b062508e3c7a69","contributors":{"authors":[{"text":"Schippers, Melanie M. A.","contributorId":193617,"corporation":false,"usgs":false,"family":"Schippers","given":"Melanie","email":"","middleInitial":"M. A.","affiliations":[],"preferred":false,"id":701069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobsen, Niels G.","contributorId":193618,"corporation":false,"usgs":false,"family":"Jacobsen","given":"Niels","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":701070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":700870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Timothy 0000-0002-5005-7617 trnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-5005-7617","contributorId":191933,"corporation":false,"usgs":true,"family":"Nelson","given":"Timothy","email":"trnelson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":701071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":701072,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188901,"text":"70188901 - 2017 - Complex mixtures of Pesticides in Midwest U.S. streams indicated by POCIS time-integrating samplers","interactions":[],"lastModifiedDate":"2021-05-27T13:43:26.845215","indexId":"70188901","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Complex mixtures of Pesticides in Midwest U.S. streams indicated by POCIS time-integrating samplers","docAbstract":"<p><span>The Midwest United States is an intensely agricultural region where pesticides in streams pose risks to aquatic biota, but temporal variability in pesticide concentrations makes characterization of their exposure to organisms challenging. To compensate for the effects of temporal variability, we deployed polar organic chemical integrative samplers (POCIS) in 100 small streams across the Midwest for about 5 weeks during summer 2013 and analyzed the extracts for 227 pesticide compounds. Analysis of water samples collected weekly for pesticides during POCIS deployment allowed for comparison of POCIS results with periodic water-sampling results. The median number of pesticides detected in POCIS extracts was 62, and 141 compounds were detected at least once, indicating a high level of pesticide contamination of streams in the region. Sixty-five of the 141 compounds detected were pesticide degradates. Mean water concentrations estimated using published POCIS sampling rates strongly correlated with means of weekly water samples collected concurrently, however, the POCIS-estimated concentrations generally were lower than the measured water concentrations. Summed herbicide concentrations (units of ng/POCIS) were greater at agricultural sites than at urban sites but summed concentrations of insecticides and fungicides were greater at urban sites. Consistent with these differences, summed concentrations of herbicides correlate to percent cultivated crops in the watersheds and summed concentrations of insecticides and fungicides correlate to percent urban land use. With the exception of malathion concentrations at nine sites, POCIS-estimated water concentrations of pesticides were lower than aquatic-life benchmarks. The POCIS provide an alternative approach to traditional water sampling for characterizing chronic exposure to pesticides in streams across the Midwest region.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2016.09.085","usgsCitation":"Van Metre, P., Alvarez, D., Mahler, B., Nowell, L.H., Sandstrom, M.W., and Moran, P.W., 2017, Complex mixtures of Pesticides in Midwest U.S. streams indicated by POCIS time-integrating samplers: Environmental Pollution, v. 220, no. A, p. 431-440, https://doi.org/10.1016/j.envpol.2016.09.085.","productDescription":"8 p.","startPage":"431","endPage":"440","ipdsId":"IP-077226","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":469794,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2016.09.085","text":"Publisher Index Page"},{"id":342960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.404296875,\n              36.87962060502676\n            ],\n            [\n              -82.529296875,\n              36.87962060502676\n            ],\n            [\n              -82.529296875,\n              45.767522962149876\n            ],\n            [\n              -99.404296875,\n              45.767522962149876\n            ],\n            [\n              -99.404296875,\n              36.87962060502676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"220","issue":"A","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea5e4b062508e3c7a67","contributors":{"authors":[{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":172246,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":false,"id":700893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":700894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":700895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":700896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":true,"id":700897,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":700898,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192192,"text":"70192192 - 2017 - Reexamining ultrafiltration and solute transport in groundwater","interactions":[],"lastModifiedDate":"2017-10-23T13:33:16","indexId":"70192192","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Reexamining ultrafiltration and solute transport in groundwater","docAbstract":"<p><span>Geologic ultrafiltration—slowing of solutes with respect to flowing groundwater—poses a conundrum: it is consistently observed experimentally in clay-rich lithologies, but has been difficult to identify in subsurface data. Resolving this could be important for clarifying clay and shale transport properties at large scales as well as interpreting solute and isotope patterns for applications ranging from nuclear waste repository siting to understanding fluid transport in tectonically active environments. Simulations of one-dimensional NaCl transport across ultrafiltering clay membrane strata constrained by emerging data on geologic membrane properties showed different ultrafiltration effects than have often been envisioned. In relatively high-permeability advection-dominated regimes, salinity increases occurred mostly within membrane units while their effluent salinity initially fell and then rose to match solute delivery. In relatively low-permeability diffusion-dominated regimes, salinity peaked at the membrane upstream boundary and effluent salinity remained low. In both scenarios, however, only modest salinity changes (up to ∼3 g L</span><sup>−1</sup><span>) occurred because of self-limiting tendencies; membrane efficiency declines as salinity rises, and although sediment compaction increases efficiency, it is also decreases permeability and allows diffusive transport to dominate. It appears difficult for ultrafiltration to generate brines as speculated, but widespread and less extreme ultrafiltration effects in the subsurface could be unrecognized. Conditions needed for ultrafiltration are present in settings that include topographically-driven flow systems, confined aquifer systems subjected to injection or withdrawal, compacting basins, and accretionary complexes.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017WR020492","usgsCitation":"Neuzil, C.E., and Person, M., 2017, Reexamining ultrafiltration and solute transport in groundwater: Water Resources Research, v. 53, no. 6, p. 4922-4941, https://doi.org/10.1002/2017WR020492.","productDescription":"20 p.","startPage":"4922","endPage":"4941","ipdsId":"IP-086146","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":347123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-16","publicationStatus":"PW","scienceBaseUri":"59eeffa7e4b0220bbd988f9a","contributors":{"authors":[{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Person, Mark","contributorId":197964,"corporation":false,"usgs":false,"family":"Person","given":"Mark","email":"","affiliations":[],"preferred":false,"id":714672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197050,"text":"70197050 - 2017 - Length limits fail to restructure a Largemouth Bass population: A 28‐year case history","interactions":[],"lastModifiedDate":"2018-05-15T15:50:54","indexId":"70197050","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Length limits fail to restructure a Largemouth Bass population: A 28‐year case history","docAbstract":"<p><span>Length limits have been implemented by fisheries management agencies to achieve population density, size structure, and angler satisfaction objectives. By redirecting harvest towards or away from particular length‐ or age‐groups, length limits rely on harvest by anglers to maintain a population at or near a desired state. The fish population changes that follow the implementation of harvest regulations may take several years to manifest, so long‐term monitoring may be needed to adequately evaluate length limits. We used an innovative application of cluster analysis to facilitate evaluation of the effects of three consecutive length limits on a population of Largemouth Bass&nbsp;</span><i>Micropterus salmoides</i><span><span>&nbsp;</span>over a 28‐year period in Ross Barnett Reservoir, Mississippi. A 13–16‐in protected slot length limit (10 years), followed by a 15‐in minimum length limit (MLL; 11 years), followed by a 12‐in MLL (7 years) failed to restructure the Largemouth Bass population due to what we suggest was the expansion of a voluntary catch‐and‐release attitude that started in the first decade of the study period. Various population metrics shifted towards values expected in an unharvested population, and the observed shifts can be attributed to a harvest deficit created by the prevailing catch‐and‐release attitude. Largemouth Bass harvest regulations may no longer be relevant in many waters. The utility of regulations for restructuring Largemouth Bass populations is largely dependent on harvesting attitudes that vary geographically, depending on cultural characteristics and demographics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1080/02755947.2017.1308891","usgsCitation":"Miranda, L.E., Colvin, M., Shamaskin, A., Bull, L.A., Holman, T., and Jones, R., 2017, Length limits fail to restructure a Largemouth Bass population: A 28‐year case history: North American Journal of Fisheries Management, v. 37, no. 3, p. 624-632, https://doi.org/10.1080/02755947.2017.1308891.","productDescription":"9 p.","startPage":"624","endPage":"632","ipdsId":"IP-079578","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-27","publicationStatus":"PW","scienceBaseUri":"5afee86ce4b0da30c1bfc445","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colvin, M.E.","contributorId":53190,"corporation":false,"usgs":true,"family":"Colvin","given":"M.E.","affiliations":[],"preferred":false,"id":735414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shamaskin, A. C.","contributorId":204901,"corporation":false,"usgs":false,"family":"Shamaskin","given":"A. C.","affiliations":[],"preferred":false,"id":735415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bull, L. A.","contributorId":204902,"corporation":false,"usgs":false,"family":"Bull","given":"L.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holman, T.","contributorId":204903,"corporation":false,"usgs":false,"family":"Holman","given":"T.","email":"","affiliations":[],"preferred":false,"id":735417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, R.","contributorId":63585,"corporation":false,"usgs":true,"family":"Jones","given":"R.","affiliations":[],"preferred":false,"id":735418,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197052,"text":"70197052 - 2017 - A new mechanistic approach for the further development of a population with established size bimodality","interactions":[],"lastModifiedDate":"2018-05-15T15:46:10","indexId":"70197052","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A new mechanistic approach for the further development of a population with established size bimodality","docAbstract":"<p><span>Usually, the origin of a within-cohort bimodal size distribution is assumed to be caused by initial size differences or by one discrete period of accelerated growth for one part of the population. The aim of this study was to determine if more continuous pathways exist allowing shifts from the small to the large fraction within a bimodal age-cohort. Therefore, a Eurasian perch population, which had already developed a bimodal size-distribution and had differential resource use of the two size-cohorts, was examined. Results revealed that formation of a bimodal size-distribution can be a continuous process. Perch from the small size-cohort were able to grow into the large size-cohort by feeding on macroinvertebrates not used by their conspecifics. The diet shifts were accompanied by morphological shape changes. Intra-specific competition seemed to trigger the development towards an increasing number of large individuals. A stage-structured matrix model confirmed these assumptions. The fact that bimodality can be a continuous process is important to consider for the understanding of ecological processes and links within ecosystems.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0179339","usgsCitation":"Heerman, L., DeAngelis, D.L., and Borcherding, J., 2017, A new mechanistic approach for the further development of a population with established size bimodality: PLoS ONE, v. 12, no. 6, p. 1-18, https://doi.org/10.1371/journal.pone.0179339.","productDescription":"e0179339; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-075347","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0179339","text":"Publisher Index Page"},{"id":354185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5afee86ce4b0da30c1bfc443","contributors":{"authors":[{"text":"Heerman, Lisa","contributorId":204891,"corporation":false,"usgs":false,"family":"Heerman","given":"Lisa","email":"","affiliations":[{"id":37006,"text":"Institute for Zoology of the University of Cologne, Germany","active":true,"usgs":false}],"preferred":false,"id":735377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":735376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borcherding, Jost","contributorId":204892,"corporation":false,"usgs":false,"family":"Borcherding","given":"Jost","email":"","affiliations":[{"id":37006,"text":"Institute for Zoology of the University of Cologne, Germany","active":true,"usgs":false}],"preferred":false,"id":735378,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189265,"text":"70189265 - 2017 - Benchmarking computational fluid dynamics models of lava flow simulation for hazard assessment, forecasting, and risk management","interactions":[],"lastModifiedDate":"2018-07-23T12:47:22","indexId":"70189265","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Benchmarking computational fluid dynamics models of lava flow simulation for hazard assessment, forecasting, and risk management","docAbstract":"<p><span>Numerical simulations of lava flow emplacement are valuable for assessing lava flow hazards, forecasting active flows, designing flow mitigation measures, interpreting past eruptions, and understanding the controls on lava flow behavior. Existing lava flow models vary in simplifying assumptions, physics, dimensionality, and the degree to which they have been validated against analytical solutions, experiments, and natural observations. In order to assess existing models and guide the development of new codes, we conduct a benchmarking study of computational fluid dynamics (CFD) models for lava flow emplacement, including VolcFlow, OpenFOAM, FLOW-3D, COMSOL, and MOLASSES. We model viscous, cooling, and solidifying flows over horizontal planes, sloping surfaces, and into topographic obstacles. We compare model results to physical observations made during well-controlled analogue and molten basalt experiments, and to analytical theory when available. Overall, the models accurately simulate viscous flow with some variability in flow thickness where flows intersect obstacles. OpenFOAM, COMSOL, and FLOW-3D can each reproduce experimental measurements of cooling viscous flows, and OpenFOAM and FLOW-3D simulations with temperature-dependent rheology match results from molten basalt experiments. We assess the goodness-of-fit of the simulation results and the computational cost. Our results guide the selection of numerical simulation codes for different applications, including inferring emplacement conditions of past lava flows, modeling the temporal evolution of ongoing flows during eruption, and probabilistic assessment of lava flow hazard prior to eruption. Finally, we outline potential experiments and desired key observational data from future flows that would extend existing benchmarking data sets.</span></p>","language":"English","publisher":"Springer","doi":"10.1186/s13617-017-0061-x","usgsCitation":"Dietterich, H.R., Lev, E., Chen, J., Richardson, J.A., and Cashman, K., 2017, Benchmarking computational fluid dynamics models of lava flow simulation for hazard assessment, forecasting, and risk management: Journal of Applied Volcanology, v. 6, no. 9, 14 p., https://doi.org/10.1186/s13617-017-0061-x.","productDescription":"14 p.","ipdsId":"IP-081247","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":469810,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13617-017-0061-x","text":"Publisher Index Page"},{"id":343466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-31","publicationStatus":"PW","scienceBaseUri":"59609db7e4b0d1f9f0594c3a","contributors":{"authors":[{"text":"Dietterich, Hannah R. 0000-0001-7898-4343 hdietterich@usgs.gov","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":194354,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah","email":"hdietterich@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":703807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":703808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Jiangzhi","contributorId":194356,"corporation":false,"usgs":false,"family":"Chen","given":"Jiangzhi","email":"","affiliations":[],"preferred":false,"id":703809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, Jacob A.","contributorId":194357,"corporation":false,"usgs":false,"family":"Richardson","given":"Jacob","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":703810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cashman, Katharine V.","contributorId":40097,"corporation":false,"usgs":false,"family":"Cashman","given":"Katharine V.","affiliations":[],"preferred":false,"id":703811,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189256,"text":"70189256 - 2017 - Rip currents and alongshore flows in single channels dredged in the surf zone","interactions":[],"lastModifiedDate":"2017-07-06T15:58:39","indexId":"70189256","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Rip currents and alongshore flows in single channels dredged in the surf zone","docAbstract":"<p><span>To investigate the dynamics of flows near nonuniform bathymetry, single channels (on average 30 m wide and 1.5 m deep) were dredged across the surf zone at five different times, and the subsequent evolution of currents and morphology was observed for a range of wave and tidal conditions. In addition, circulation was simulated with the numerical modeling system COAWST, initialized with the observed incident waves and channel bathymetry, and with an extended set of wave conditions and channel geometries. The simulated flows are consistent with alongshore flows and rip-current circulation patterns observed in the surf zone. Near the offshore-directed flows that develop in the channel, the dominant terms in modeled momentum balances are wave-breaking accelerations, pressure gradients, advection, and the vortex force. The balances vary spatially, and are sensitive to wave conditions and the channel geometry. The observed and modeled maximum offshore-directed flow speeds are correlated with a parameter based on the alongshore gradient in breaking-wave-driven-setup across the nonuniform bathymetry (a function of wave height and angle, water depths in the channel and on the sandbar, and a breaking threshold) and the breaking-wave-driven alongshore flow speed. The offshore-directed flow speed increases with dissipation on the bar and reaches a maximum (when the surf zone is saturated) set by the vertical scale of the bathymetric variability.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016JC012222","usgsCitation":"Moulton, M., Elgar, S., Raubenheimer, B., Warner, J., and Kumar, N., 2017, Rip currents and alongshore flows in single channels dredged in the surf zone: Journal of Geophysical Research: Oceans, v. 122, no. 5, p. 3799-3816, https://doi.org/10.1002/2016JC012222.","productDescription":"18 p.","startPage":"3799","endPage":"3816","ipdsId":"IP-079457","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469804,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jc012222","text":"Publisher Index Page"},{"id":343455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-08","publicationStatus":"PW","scienceBaseUri":"595f4c3ce4b0d1f9f057e333","contributors":{"authors":[{"text":"Moulton, Melissa","contributorId":194341,"corporation":false,"usgs":false,"family":"Moulton","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":703772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elgar, Steve","contributorId":194339,"corporation":false,"usgs":false,"family":"Elgar","given":"Steve","email":"","affiliations":[],"preferred":false,"id":703773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raubenheimer, Britt","contributorId":194340,"corporation":false,"usgs":false,"family":"Raubenheimer","given":"Britt","email":"","affiliations":[],"preferred":false,"id":703774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":703771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kumar, Nirnimesh","contributorId":190663,"corporation":false,"usgs":false,"family":"Kumar","given":"Nirnimesh","email":"","affiliations":[],"preferred":false,"id":703775,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191454,"text":"70191454 - 2017 - Is motivation important to brook trout passage through culverts?","interactions":[],"lastModifiedDate":"2017-10-13T11:12:24","indexId":"70191454","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Is motivation important to brook trout passage through culverts?","docAbstract":"<p><span>Culverts can restrict movement of stream-dwelling fish. Motivation to enter and ascend these structures is an essential precursor for successful passage. However, motivation is challenging to quantify. Here, we use attempt rate to assess motivation of 447 brook trout (</span><i>Salvelinus fontinalis</i><span>) entering three culverts under a range of hydraulic, environmental, and biological conditions. A passive integrated transponder system allowed for the identification of passage attempts and success of individual fish. Attempt rate was quantified using time-to-event analysis allowing for time-varying covariates and recurrent events. Attempt rate was greatest during the spawning period, at elevated discharge, at dusk, and for longer fish. It decreased during the day and with increasing number of conspecifics downstream of the culvert. Results also show a positive correlation between elevated motivation and successful passage. This study enhances understanding of factors influencing brook trout motivation to ascend culverts and shows that attempt rate is a dynamic phenomenon, variable over time and among individuals. It also presents methods that could be used to investigate other species’ motivation to pass natural or anthropogenic barriers.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0237","usgsCitation":"Goerig, E., and Castro-Santos, T.R., 2017, Is motivation important to brook trout passage through culverts?: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 6, p. 885-893, https://doi.org/10.1139/cjfas-2016-0237.","productDescription":"9 p.","startPage":"885","endPage":"893","ipdsId":"IP-076710","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469788,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://espace.inrs.ca/id/eprint/5146/1/P3101.pdf","text":"External Repository"},{"id":346570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Quebec","otherGeospatial":"Sainte-Marguerite River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.5,\n              48.6667\n            ],\n            [\n              -70,\n              48.6667\n            ],\n            [\n              -70,\n              48.3333\n            ],\n            [\n              -70.5,\n              48.3333\n            ],\n            [\n              -70.5,\n              48.6667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d099e4b05fe04cd117b0","contributors":{"authors":[{"text":"Goerig, Elsa","contributorId":168522,"corporation":false,"usgs":false,"family":"Goerig","given":"Elsa","email":"","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":712337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712336,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192187,"text":"70192187 - 2017 - Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change","interactions":[],"lastModifiedDate":"2017-10-23T13:41:14","indexId":"70192187","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":922,"text":"Atmospheric Chemistry and Physics","active":true,"publicationSubtype":{"id":10}},"title":"Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change","docAbstract":"<p><span>The degree to which cloud immersion provides water in addition to rainfall, suppresses transpiration, and sustains tropical montane cloud forests (TMCFs) during rainless periods is not well understood. Climate and land use changes represent a threat to these forests if cloud base altitude rises as a result of regional warming or deforestation. To establish a baseline for quantifying future changes in cloud base, we installed a ceilometer at 100 m altitude in the forest upwind of the TMCF that occupies an altitude range from ∼ 600 m to the peaks at 1100 m in the Luquillo Mountains of eastern Puerto Rico. Airport Automated Surface Observing System (ASOS) ceilometer data, radiosonde data, and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite data were obtained to investigate seasonal cloud base dynamics, altitude of the trade-wind inversion (TWI), and typical cloud thickness for the surrounding Caribbean region. Cloud base is rarely quantified near mountains, so these results represent a first look at seasonal and diurnal cloud base dynamics for the TMCF. From May&nbsp;2013 to August&nbsp;2016, cloud base was lowest during the midsummer dry season, and cloud bases were lower than the mountaintops as often in the winter dry season as in the wet seasons. The lowest cloud bases most frequently occurred at higher elevation than 600 m, from 740 to 964 m. The Luquillo forest low cloud base altitudes were higher than six other sites in the Caribbean by ∼ 200–600 m, highlighting the importance of site selection to measure topographic influence on cloud height. Proximity to the oceanic cloud system where shallow cumulus clouds are seasonally invariant in altitude and cover, along with local trade-wind orographic lifting and cloud formation, may explain the dry season low clouds. The results indicate that climate change threats to low-elevation TMCFs are not limited to the dry season; changes in synoptic-scale weather patterns that increase frequency of drought periods during the wet seasons (periods of higher cloud base) may also impact ecosystem health.</span></p>","language":"English","publisher":"European Geophysical Union","doi":"10.5194/acp-17-7245-2017","usgsCitation":"Van Beusekom, A.E., Gonzalez, G., and Scholl, M.A., 2017, Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change: Atmospheric Chemistry and Physics, v. 17, no. 11, p. 7245-7259, https://doi.org/10.5194/acp-17-7245-2017.","productDescription":"15 p.","startPage":"7245","endPage":"7259","ipdsId":"IP-084476","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469802,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/acp-17-7245-2017","text":"Publisher Index Page"},{"id":347125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Luquillo Mountains, Puerto Rico","volume":"17","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-16","publicationStatus":"PW","scienceBaseUri":"59eeffa8e4b0220bbd988f9c","contributors":{"authors":[{"text":"Van Beusekom, Ashley E.","contributorId":197950,"corporation":false,"usgs":false,"family":"Van Beusekom","given":"Ashley","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Grizelle","contributorId":191117,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Grizelle","email":"","affiliations":[],"preferred":false,"id":714641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714639,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189872,"text":"70189872 - 2017 - Aerodynamic roughness length estimation with lidar and imaging spectroscopy in a shrub-dominated dryland","interactions":[],"lastModifiedDate":"2017-11-22T16:53:38","indexId":"70189872","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Aerodynamic roughness length estimation with lidar and imaging spectroscopy in a shrub-dominated dryland","docAbstract":"<p><span>The aerodynamic roughness length (Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span>) serves an important role in the flux exchange between the land surface and atmosphere. In this study, airborne lidar (</span><small>ALS</small><span>), terrestrial lidar (</span><small>TLS</small><span>), and imaging spectroscopy data were integrated to develop and test two approaches to estimate Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span><span>&nbsp;</span>over a shrub dominated dryland study area in south-central Idaho, USA. Sensitivity of the two parameterization methods to estimate Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span><span>&nbsp;</span>was analyzed. The comparison of eddy covariance-derived Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span><span>&nbsp;</span>and remote sensing-derived Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span><span>&nbsp;</span>showed that the accuracy of the estimated Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span><span>&nbsp;</span>heavily depends on the estimation model and the representation of shrub (e.g., Artemisia tridentata subsp. wyomingensis) height in the models. The geometrical method (RA1994) led to 9 percent (~0.5 cm) and 25% (~1.1 cm) errors at site 1 and site 2, respectively, which performed better than the height variability-based method (MR1994) with bias error of 20 percent and 48 percent at site 1 and site 2, respectively. The RA1994 model resulted in a larger range of Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span><span>&nbsp;</span>than the MR1994 method. We also found that the mean, median and 75th percentiles of heights (H75) from<span>&nbsp;</span></span><small>ALS</small><span><span>&nbsp;</span>provides the best Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span><span>&nbsp;</span>estimates in the MR1994 model, while the mean, median, and<span>&nbsp;</span></span><small>MLD</small><span><span>&nbsp;</span>(Median Absolute Deviation from Median Height), as well as<span>&nbsp;</span></span><small>AAD</small><span><span>&nbsp;</span>(Mean Absolute Deviation from Mean Height) heights from<span>&nbsp;</span></span><small>ALS</small><span><span>&nbsp;</span>provides the best Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span><span>&nbsp;</span>estimates in the RA1994 model. In addition, the fractional cover of shrub and grass, distinguished with<span>&nbsp;</span></span><small>ALS</small><span><span>&nbsp;</span>and imaging spectroscopy data, provided the opportunity to estimate the frontal area index at the pixel-level to assess the influence of grass and shrub on Z</span><sub>0</sub><sub>m</sub><span><span>&nbsp;</span>estimates in the RA1994 method. Results indicate that grass had little effect on Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span><span>&nbsp;</span>in the RA1994 method. The Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span><span>&nbsp;</span>estimations were tightly coupled with vegetation height and its local variance for the shrubs. Overall, the results demonstrate that the use of height and fractional cover from remote sensing data are promising for estimating Z</span><sub>0</sub><span><span>&nbsp;</span></span><sub>m</sub><span>, and thus refining land surface models at regional scales in semiarid shrublands.</span></p>","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.83.6.415","usgsCitation":"Li, A., Zhao, W., Mitchell, J., Glenn, N.F., Germino, M., Sankey, J.B., and Allen, R.M., 2017, Aerodynamic roughness length estimation with lidar and imaging spectroscopy in a shrub-dominated dryland: Photogrammetric Engineering and Remote Sensing, v. 83, no. 6, p. 415-427, https://doi.org/10.14358/PERS.83.6.415.","productDescription":"13 p.","startPage":"415","endPage":"427","ipdsId":"IP-080636","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":488694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.83.6.415","text":"Publisher Index Page"},{"id":344452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.90576171874999,\n              42.09822241118974\n            ],\n            [\n              -112.1044921875,\n              42.09822241118974\n            ],\n            [\n              -112.1044921875,\n              44.315987905196906\n            ],\n            [\n              -115.90576171874999,\n              44.315987905196906\n            ],\n            [\n              -115.90576171874999,\n              42.09822241118974\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59804199e4b0a38ca2789336","contributors":{"authors":[{"text":"Li, Aihua","contributorId":169445,"corporation":false,"usgs":false,"family":"Li","given":"Aihua","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":706603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Wenguang","contributorId":195243,"corporation":false,"usgs":false,"family":"Zhao","given":"Wenguang","email":"","affiliations":[],"preferred":false,"id":706607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Jessica J","contributorId":195242,"corporation":false,"usgs":false,"family":"Mitchell","given":"Jessica J","affiliations":[],"preferred":false,"id":706605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, Nancy F.","contributorId":195241,"corporation":false,"usgs":false,"family":"Glenn","given":"Nancy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":706604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":706602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706606,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, Richard M.","contributorId":195244,"corporation":false,"usgs":false,"family":"Allen","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":706608,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198079,"text":"70198079 - 2017 - The morphology of transverse aeolian ridges on Mars","interactions":[],"lastModifiedDate":"2018-07-13T10:08:52","indexId":"70198079","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"The morphology of transverse aeolian ridges on Mars","docAbstract":"A preliminary survey of publicly released high resolution digital terrain models (DTMs) produced by the High Resolution Imaging Science Experiment (HiRISE) camera on Mars Reconnaissance Orbiter identified transverse aeolian ridges (TARs) in 154 DTMs in latitudes from 50°S to 40°N. Consistent with previous surveys, the TARs identified in HiRISE DTMs are found at all elevations, irrespective of the regional thermal inertia of the surface. Ten DTMs were selected for measuring the characteristics of the TARs, including maximum height, mean height, mean spacing (wavelength), and the slope of the surface where they are located. We confined our measurements to features that were taller than 1 m and spaced more than 10 m apart.\n\nWe found a surprisingly wide variability of TAR sizes within each local region (typically 5 km by 25 km), with up to a factor of 7 difference in TAR wavelengths in a single DTM. The TAR wavelengths do not appear to be correlated to latitude or elevation, but the largest TARs in our small survey were found at lower elevations. The tallest TARs we measured were on the flat floor of Moni crater, within Kaiser crater in the southern highlands. These TARs are up to 14 m tall, with a typical wavelength of 120 m. TAR heights are weakly correlated with their wavelengths. The height-to-wavelength ratios for most TARs are far less than 1/2π (the maximum predicted for antidunes), however in two cases the ratio is close to 1/2π, and in one case (in the bend of a channel) the ratio exceeds 1/2π. TAR wavelengths are uncorrelated with surface slope, both on local and regional scales. TAR heights are weakly anti-correlated with local slope.\n\nThese results help constrain models of TAR formation, particularly a new hypothesis (Geissler, 2014) that suggests that TARs were formed from micron-sized dust that was transported in suspension. The lack of correlation between TAR wavelength and surface slope seems to rule out formation by gravity-driven dust flows such as avalanches or density currents, and suggests that the TARs were instead produced by the Martian winds.","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2016.08.008","usgsCitation":"Geissler, P., and Wilgus, J., 2017, The morphology of transverse aeolian ridges on Mars: Aeolian Research, v. 26, p. 63-71, https://doi.org/10.1016/j.aeolia.2016.08.008.","productDescription":"9 p.","startPage":"63","endPage":"71","ipdsId":"IP-073238","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":355665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc67ee4b0f5d57878eb86","contributors":{"authors":[{"text":"Geissler, Paul","contributorId":206262,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":739923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilgus, Justin T.","contributorId":206263,"corporation":false,"usgs":false,"family":"Wilgus","given":"Justin T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":739924,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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