{"pageNumber":"874","pageRowStart":"21825","pageSize":"25","recordCount":165505,"records":[{"id":70194450,"text":"70194450 - 2018 - Characterizing storm response and recovery using the beach change envelope: Fire Island, New York","interactions":[],"lastModifiedDate":"2017-11-29T13:02:00","indexId":"70194450","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing storm response and recovery using the beach change envelope: Fire Island, New York","docAbstract":"<p><span>Hurricane Sandy at Fire Island, New York presented unique challenges in the quantification of storm impacts using traditional metrics of coastal change, wherein measured changes (shoreline, dune crest, and volume change) did not fully reflect the substantial changes in sediment redistribution following the storm. We used a time series of beach profile data at Fire Island, New York to define a new contour-based morphologic change metric, the Beach Change Envelope (BCE). The BCE quantifies changes to the upper portion of the beach likely to sustain measurable impacts from storm waves and capture a variety of storm and post-storm beach states. We evaluated the ability of the BCE to characterize cycles of beach change by relating it to a conceptual beach recovery regime, and demonstrated that BCE width and BCE height from the profile time series correlate well with established stages of recovery. We also investigated additional applications of this metric to capture impacts from storms and human modification by applying it to several post-storm historical datasets in which impacts varied considerably; Nor'Ida (2009), Hurricane Irene (2011), Hurricane Sandy (2012), and a 2009 community replenishment. In each case, the BCE captured distinctive upper beach morphologic change characteristic of these different beach building and erosional events. Analysis of the beach state at multiple profile locations showed spatial trends in recovery consistent with recent morphologic island evolution, which other studies have linked with sediment availability and the geologic framework. Ultimately we demonstrate a new way of more effectively characterizing beach response and recovery cycles to evaluate change along sandy coasts.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.08.004","usgsCitation":"Brenner, O.T., Lentz, E.E., Hapke, C.J., Henderson, R.E., Wilson, K., and Nelson, T., 2018, Characterizing storm response and recovery using the beach change envelope: Fire Island, New York: Geomorphology, v. 300, p. 189-202, https://doi.org/10.1016/j.geomorph.2017.08.004.","productDescription":"14 p.","startPage":"189","endPage":"202","ipdsId":"IP-081355","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2017.08.004","text":"Publisher Index Page"},{"id":349532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.2242202758789,\n              40.62177060472069\n            ],\n            [\n              -73.14216613769531,\n              40.62177060472069\n            ],\n            [\n              -73.14216613769531,\n              40.65485736139743\n            ],\n            [\n              -73.2242202758789,\n              40.65485736139743\n            ],\n            [\n              -73.2242202758789,\n              40.62177060472069\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"300","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad6e4b06e28e9c22791","contributors":{"authors":[{"text":"Brenner, Owen T. 0000-0002-1588-721X obrenner@usgs.gov","orcid":"https://orcid.org/0000-0002-1588-721X","contributorId":4933,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","email":"obrenner@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":723887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henderson, Rachel E. 0000-0001-5810-7941 rehenderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5810-7941","contributorId":194022,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel","email":"rehenderson@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Kathleen 0000-0002-2810-7585 kwilson@usgs.gov","orcid":"https://orcid.org/0000-0002-2810-7585","contributorId":195620,"corporation":false,"usgs":true,"family":"Wilson","given":"Kathleen","email":"kwilson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":723891,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194430,"text":"70194430 - 2018 - Living on the edge: Opportunities for Amur tiger recovery in China","interactions":[],"lastModifiedDate":"2018-07-26T13:08:41","indexId":"70194430","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Living on the edge: Opportunities for Amur tiger recovery in China","docAbstract":"Sporadic sightings of the endangered Amur tiger Panthera tigris altaica along the China-Russia border during the late 1990s sparked efforts to expand this subspecies distribution and abundance by restoring potentially suitable habitats in the Changbai Mountains. To guide science-based recovery efforts and provide a baseline for future monitoring of this border population, empirical, quantitative information is needed on what resources and management practices promote or limit the occurrence of tigers in the region. We established a large-scale field camera-trapping network to estimate tiger density, survival and recruitment in the Hunchun Nature Reserve and the surrounding area using an open population spatially explicit capture-recapture model. We then fitted an occupancy model that accounted for detectability and spatial autocorrelation to assess the relative influence of habitat, major prey, disturbance and management on tiger habitat use patterns. Our results show that the ranges of most tigers abut the border with Russia. Tiger densities ranged between 0.20 and 0.27 individuals/100 km2 over the study area; in the Hunchun Nature Reserve, the tiger density was three times higher than that in the surrounding inland forested area. Tiger occupancy was strongly negatively related to heavy cattle grazing, human settlements and roads and was positively associated with sika deer abundance and vegetation cover. These findings can help to identify the drivers of tiger declines and dispersal limits and refine strategies for tiger conservation in the human-dominated transboundary landscape. Progressively alleviating the impacts of cattle and human disturbances on the forest, and simultaneously addressing the economic needs of local communities, should be key priority actions to increase tiger populations. The long-term goal is to expand tiger distribution by improving habitats for large ungulates.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2017.11.008","usgsCitation":"Wang, T., Royle, A., Smith, J., Zou, L., Lu, X., Li, T., Yang, H., Li, Z., Feng, R., Bian, Y., Feng, L., and Ge, J., 2018, Living on the edge: Opportunities for Amur tiger recovery in China: Biological Conservation, v. 217, p. 269-279, https://doi.org/10.1016/j.biocon.2017.11.008.","productDescription":"11 p.","startPage":"269","endPage":"279","ipdsId":"IP-090114","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":349415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Jilin Province","otherGeospatial":"Changbai Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              129.869384765625,\n              42.35042512243457\n            ],\n            [\n              131.19873046875,\n              42.35042512243457\n            ],\n            [\n              131.19873046875,\n              43.27720532212024\n            ],\n            [\n              129.869384765625,\n              43.27720532212024\n            ],\n            [\n              129.869384765625,\n              42.35042512243457\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"217","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fafee4b06e28e9c22ac2","contributors":{"authors":[{"text":"Wang, Tianming","contributorId":200892,"corporation":false,"usgs":false,"family":"Wang","given":"Tianming","email":"","affiliations":[],"preferred":false,"id":723742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, J.L.D.","contributorId":18480,"corporation":false,"usgs":true,"family":"Smith","given":"J.L.D.","email":"","affiliations":[],"preferred":false,"id":723743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zou, Liang","contributorId":200894,"corporation":false,"usgs":false,"family":"Zou","given":"Liang","email":"","affiliations":[],"preferred":false,"id":723744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lu, Xinyue","contributorId":200895,"corporation":false,"usgs":false,"family":"Lu","given":"Xinyue","email":"","affiliations":[],"preferred":false,"id":723745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Tong","contributorId":200896,"corporation":false,"usgs":false,"family":"Li","given":"Tong","email":"","affiliations":[],"preferred":false,"id":723746,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yang, Haitao","contributorId":200897,"corporation":false,"usgs":false,"family":"Yang","given":"Haitao","email":"","affiliations":[],"preferred":false,"id":723747,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Zhilin","contributorId":200898,"corporation":false,"usgs":false,"family":"Li","given":"Zhilin","email":"","affiliations":[],"preferred":false,"id":723748,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Feng, Rongna","contributorId":200899,"corporation":false,"usgs":false,"family":"Feng","given":"Rongna","email":"","affiliations":[],"preferred":false,"id":723749,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bian, Yajing","contributorId":200900,"corporation":false,"usgs":false,"family":"Bian","given":"Yajing","email":"","affiliations":[],"preferred":false,"id":723750,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Feng, Limin","contributorId":200901,"corporation":false,"usgs":false,"family":"Feng","given":"Limin","email":"","affiliations":[],"preferred":false,"id":723751,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ge, Jianping","contributorId":200902,"corporation":false,"usgs":false,"family":"Ge","given":"Jianping","email":"","affiliations":[],"preferred":false,"id":723752,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70217648,"text":"70217648 - 2018 - Varve formation during the past three centuries in three large proglacial lakes in south-central Alaska","interactions":[],"lastModifiedDate":"2023-11-14T15:17:54.512541","indexId":"70217648","displayToPublicDate":"2017-11-27T06:48:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Varve formation during the past three centuries in three large proglacial lakes in south-central Alaska","docAbstract":"<p><span>The sediments stored in the large, deep proglacial lakes of south-central Alaska are largely unstudied. We analyzed sediments in 20 cores, up to 160 cm long, from Eklutna, Kenai, and Skilak Lakes, using a combination of repeated lamination counting, radionuclide dating, event stratigraphy, and tephrochronology. We show that the characteristically rhythmic layers were deposited annually. Most of these glacial varves consist of one coarse-grained base and a fine-grained top, but varves composed of multiple coarse-grained turbidite pulses are common too. They are likely related to successive episodes of high sediment discharge during flooding, and they become more frequent in all three lakes, along with increased sedimentation rates, during the nineteenth century late phase of the Little Ice Age. These flood turbidites were generated by rain events and intense melting of snow and ice. Other (mega) turbidites are a result of earthquake-triggered slope collapses (e.g., A.D. 1964). Some event layers are present in all three lakes. In addition, the annual time series of varve thickness (normalized annual sedimentation rate) are significantly correlated among the three lakes (ρ &gt; 0.27;&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.001). Differences between the varve thickness records can be attributed partly to the dam construction at Eklutna Lake and outbursts from an ice-dammed lake at Skilak Lake. Geomorphologic differences among the catchments result in further differences in sedimentation patterns in the three lakes.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31792.1","usgsCitation":"Boes, E., Van Daele, M., Moernaut, J., Schmidt, S., Jensen, B.J., Praet, N., Kaufman, D., Haeussler, P., Loso, M.G., and De Batist, M., 2018, Varve formation during the past three centuries in three large proglacial lakes in south-central Alaska: Geological Society of America Bulletin, v. 130, no. 5-6, p. 757-774, https://doi.org/10.1130/B31792.1.","productDescription":"18 p.","startPage":"757","endPage":"774","ipdsId":"IP-087929","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":382576,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Alaska","otherGeospatial":"Eklutna Lake, Kenai Lake, Skilak Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -150.55,\n              60.5\n            ],\n            [\n              -150.55,\n              60.35\n            ],\n            [\n              -150.05,\n              60.35\n            ],\n            [\n              -150.05,\n              60.5\n            ],\n            [\n              -150.55,\n              60.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.83446705783,\n              60.50733211465541\n            ],\n            [\n              -149.83446705783,\n              60.31048196502712\n            ],\n          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      ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Boes, Evelin","contributorId":248432,"corporation":false,"usgs":false,"family":"Boes","given":"Evelin","affiliations":[{"id":49903,"text":"Renard Centre of Marine Geology, Department of Geology, Ghent University","active":true,"usgs":false}],"preferred":false,"id":809093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Daele, Maarten 0000-0002-8530-4438","orcid":"https://orcid.org/0000-0002-8530-4438","contributorId":194085,"corporation":false,"usgs":false,"family":"Van Daele","given":"Maarten","email":"","affiliations":[{"id":27279,"text":"Department of Geology and Soil Science, Ghent University, Ghent, Belgium","active":true,"usgs":false}],"preferred":false,"id":809094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moernaut, Jasper","contributorId":194084,"corporation":false,"usgs":false,"family":"Moernaut","given":"Jasper","email":"","affiliations":[],"preferred":false,"id":809095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Sabine","contributorId":194088,"corporation":false,"usgs":false,"family":"Schmidt","given":"Sabine","email":"","affiliations":[],"preferred":false,"id":809096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, Britta J.L. 0000-0001-9134-7170","orcid":"https://orcid.org/0000-0001-9134-7170","contributorId":244298,"corporation":false,"usgs":false,"family":"Jensen","given":"Britta","email":"","middleInitial":"J.L.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":809097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Praet, Nore","contributorId":194083,"corporation":false,"usgs":false,"family":"Praet","given":"Nore","email":"","affiliations":[],"preferred":false,"id":809098,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kaufman, Darrell","contributorId":215397,"corporation":false,"usgs":false,"family":"Kaufman","given":"Darrell","affiliations":[{"id":39235,"text":"School of Earth Sciences & Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA","active":true,"usgs":false}],"preferred":false,"id":809099,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":809100,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Loso, Michael G.","contributorId":146361,"corporation":false,"usgs":false,"family":"Loso","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":809101,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"De Batist, Marc 0000-0002-1625-2080","orcid":"https://orcid.org/0000-0002-1625-2080","contributorId":194089,"corporation":false,"usgs":false,"family":"De Batist","given":"Marc","email":"","affiliations":[],"preferred":false,"id":809102,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70194306,"text":"70194306 - 2018 - Effects of climate change on ecological disturbance in the northern Rockies","interactions":[],"lastModifiedDate":"2017-11-27T10:15:02","indexId":"70194306","displayToPublicDate":"2017-11-25T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Effects of climate change on ecological disturbance in the northern Rockies","docAbstract":"Disturbances alter ecosystem, community, or population structure and change elements of the biological and/or physical environment. Climate changes can alter the timing, magnitude, frequency, and duration of disturbance events, as well as the interactions of disturbances on a landscape, and climate change may already be affecting disturbance events and regimes. Interactions among disturbance regimes, such as the cooccurrence in space and time of bark beetle outbreaks and wildfires, can result in highly visible, rapidly occurring, and persistent changes in landscape composition and structure. Understanding how altered disturbance patterns and multiple disturbance interactions might result in novel and emergent landscape behaviors is critical for addressing climate change impacts and for designing land management strategies that are appropriate for future climates This chapter describes the ecology of important disturbance regimes in the Northern Rockies region, and potential shifts in these regimes as a consequence of observed and projected climate change. We summarize five disturbance types present in the Northern Rockies that are sensitive to a changing climate--wildfires, bark beetles, white pine blister rust (Cronartium ribicola), other forest diseases, and nonnative plant invasions—and provide information that can help managers anticipate how, when, where, and why climate changes may alter the characteristics of disturbance regimes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate change and Rocky Mountain ecosystems; Advances in Global Change Research v. 63","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-56928-4_7","isbn":"978-3-319-56927-7","usgsCitation":"Loehman, R.A., Bentz, B.J., DeNitto, G.A., Keane, R.E., Manning, M.E., Duncan, J.P., Egan, J.M., Jackson, M.B., Kegley, S., Lockman, I.B., Pearson, D.E., Powell, J.A., Shelly, S., Steed, B.E., and Zambino, P.J., 2018, Effects of climate change on ecological disturbance in the northern Rockies, chap. 7 <i>of</i> Climate change and Rocky Mountain ecosystems; Advances in Global Change Research v. 63, v. 63, p. 115-141, https://doi.org/10.1007/978-3-319-56928-4_7.","productDescription":"27 p.","startPage":"115","endPage":"141","ipdsId":"IP-087575","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":349306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rocky Mountains","volume":"63","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","scienceBaseUri":"5a60fad7e4b06e28e9c22799","contributors":{"editors":[{"text":"Halofsky, Jessica E.","contributorId":146628,"corporation":false,"usgs":false,"family":"Halofsky","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":723391,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Peterson, David L.","contributorId":94643,"corporation":false,"usgs":false,"family":"Peterson","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":723392,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":723194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bentz, Barbara J.","contributorId":200734,"corporation":false,"usgs":false,"family":"Bentz","given":"Barbara","email":"","middleInitial":"J.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":723195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeNitto, Gregg A.","contributorId":200735,"corporation":false,"usgs":false,"family":"DeNitto","given":"Gregg","email":"","middleInitial":"A.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":723196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keane, Robert E.","contributorId":200723,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":723197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manning, Mary E.","contributorId":200726,"corporation":false,"usgs":false,"family":"Manning","given":"Mary","email":"","middleInitial":"E.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":723198,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duncan, Jacob P.","contributorId":200736,"corporation":false,"usgs":false,"family":"Duncan","given":"Jacob","email":"","middleInitial":"P.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":723199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Egan, Joel M.","contributorId":200737,"corporation":false,"usgs":false,"family":"Egan","given":"Joel","email":"","middleInitial":"M.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":723200,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jackson, Marcus B.","contributorId":200738,"corporation":false,"usgs":false,"family":"Jackson","given":"Marcus","email":"","middleInitial":"B.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":723201,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kegley, Sandra","contributorId":200739,"corporation":false,"usgs":false,"family":"Kegley","given":"Sandra","email":"","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":723202,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lockman, I. Blakey","contributorId":200740,"corporation":false,"usgs":false,"family":"Lockman","given":"I.","email":"","middleInitial":"Blakey","affiliations":[{"id":27245,"text":"USDA Forest Service, Pacific Northwest Regional Office","active":true,"usgs":false}],"preferred":false,"id":723203,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pearson, Dean E.","contributorId":200741,"corporation":false,"usgs":false,"family":"Pearson","given":"Dean","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":723204,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Powell, James A.","contributorId":190683,"corporation":false,"usgs":false,"family":"Powell","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":723205,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shelly, Steve","contributorId":200742,"corporation":false,"usgs":false,"family":"Shelly","given":"Steve","email":"","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":723206,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Steed, Brytten E.","contributorId":200743,"corporation":false,"usgs":false,"family":"Steed","given":"Brytten","email":"","middleInitial":"E.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":723207,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zambino, Paul J.","contributorId":200744,"corporation":false,"usgs":false,"family":"Zambino","given":"Paul","email":"","middleInitial":"J.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":723208,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70194297,"text":"70194297 - 2018 - Effects of climate change on forest vegetation in the northern Rockies","interactions":[],"lastModifiedDate":"2017-11-27T10:15:45","indexId":"70194297","displayToPublicDate":"2017-11-25T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Effects of climate change on forest vegetation in the northern Rockies","docAbstract":"Increasing air temperature, through its influence on soil moisture, is expected to cause gradual changes in the abundance and distribution of tree, shrub, and grass species throughout the Northern Rockies, with drought tolerant species becoming more competitive. The earliest changes will be at ecotones between lifeforms (e.g., upper and lower treelines). Ecological disturbance, including wildfire and insect outbreaks, will be the primary facilitator of vegetation change, and future forest landscapes may be dominated by younger age classes and smaller trees. High-elevation forests will be especially vulnerable if disturbance frequency","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate change and Rocky Mountain ecosystems; Advances in Global Change Research v. 63","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-56928-4_5","isbn":"978-3-319-56927-7","usgsCitation":"Keane, R.E., Mahalovich, M.F., Bollenbacher, B.L., Manning, M.E., Loehman, R.A., Jain, T.B., Holsinger, L.M., and Larson, A.J., 2018, Effects of climate change on forest vegetation in the northern Rockies, chap. 5 <i>of</i> Climate change and Rocky Mountain ecosystems; Advances in Global Change Research v. 63, v. 63, p. 59-95, https://doi.org/10.1007/978-3-319-56928-4_5.","productDescription":"37 p.","startPage":"59","endPage":"95","ipdsId":"IP-087655","costCenters":[{"id":118,"text":"Alaska Science Center 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Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":723394,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Keane, Robert E.","contributorId":200723,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":723151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahalovich, Mary Frances","contributorId":200724,"corporation":false,"usgs":false,"family":"Mahalovich","given":"Mary","email":"","middleInitial":"Frances","affiliations":[{"id":27110,"text":"U.S. Dept of Agriculture, Forest Service","active":true,"usgs":false}],"preferred":false,"id":723152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bollenbacher, Barry L.","contributorId":200725,"corporation":false,"usgs":false,"family":"Bollenbacher","given":"Barry","email":"","middleInitial":"L.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":723153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manning, Mary E.","contributorId":200726,"corporation":false,"usgs":false,"family":"Manning","given":"Mary","email":"","middleInitial":"E.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":723154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":723150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jain, Terrie B.","contributorId":200727,"corporation":false,"usgs":false,"family":"Jain","given":"Terrie","email":"","middleInitial":"B.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":723155,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holsinger, Lisa M.","contributorId":187607,"corporation":false,"usgs":false,"family":"Holsinger","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":723156,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Larson, Andrew J.","contributorId":197832,"corporation":false,"usgs":false,"family":"Larson","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":723157,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70236704,"text":"70236704 - 2018 - The Station Information System (SIS): A centralized seismic station repository for populating, managing, and distributing metadata","interactions":[],"lastModifiedDate":"2024-01-08T23:03:03.984775","indexId":"70236704","displayToPublicDate":"2017-11-22T09:50:33","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The Station Information System (SIS): A centralized seismic station repository for populating, managing, and distributing metadata","docAbstract":"<p><span>Creating, maintaining, and archiving accurate station metadata is critical for successful seismic network operations, data discovery, and research. The Station Information System (SIS) is a centralized repository of seismic station equipment inventory, instrument response, and site information of stations operated by regional seismic networks (RSNs) of the Advanced National Seismic System (ANSS;&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf5\">Filson and Arabasz, 2017</a><span>). It has a web‐based user interface that enables the creation and manipulation of the corresponding metadata. The system can track the installation, maintenance, and removal of equipment from a site, which often results in the creation of new metadata epochs. SIS also computes the overall response, including gain, of a data channel by combining the responses of the underlying hardware components. SIS distributes this information in standard formats such as Federation of Digital Seismic Networks StationXML and dataless Standard for the Exchange of Earthquake Data. SIS can also be used to manage inventory of field equipment such as power, telemetry, or Global Positioning System antenna, as well as links to other site‐related repositories external to SIS to give the network operator the most complete view of a site and the overall network. This article summarizes the main features in SIS. We present its basic infrastructure, holdings, workflow, and how RSNs retrieve data from it. We also explain the reasoning to pursue one centralized repository and why it supports the goals of SIS and the ANSS. We demonstrate that by providing the ANSS network operator with a comprehensive site view, SIS enables the production of high‐quality metadata, a necessary prerequisite for producing high‐quality seismic data.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170130","usgsCitation":"Yu, E., Acharya, P., Jaramillo, J., Kientz, S., Thomas, V., and Hauksson, E., 2018, The Station Information System (SIS): A centralized seismic station repository for populating, managing, and distributing metadata: Seismological Research Letters, v. 89, no. 1, p. 47-55, https://doi.org/10.1785/0220170130.","productDescription":"9 p.","startPage":"47","endPage":"55","ipdsId":"IP-088648","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469155,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20171127-131244965","text":"External Repository"},{"id":406843,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Yu, Ellen","contributorId":222020,"corporation":false,"usgs":false,"family":"Yu","given":"Ellen","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":851950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acharya, Prabha","contributorId":296601,"corporation":false,"usgs":false,"family":"Acharya","given":"Prabha","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":851951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaramillo, Justin","contributorId":296602,"corporation":false,"usgs":false,"family":"Jaramillo","given":"Justin","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":851952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kientz, Sue","contributorId":296603,"corporation":false,"usgs":false,"family":"Kientz","given":"Sue","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":851953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Valerie I. 0000-0001-6170-5563","orcid":"https://orcid.org/0000-0001-6170-5563","contributorId":208162,"corporation":false,"usgs":true,"family":"Thomas","given":"Valerie I.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hauksson, Egill","contributorId":48174,"corporation":false,"usgs":false,"family":"Hauksson","given":"Egill","affiliations":[{"id":27150,"text":"Seismological Laboratory, California Institute of Technology, Pasadena, CA, USA","active":true,"usgs":false}],"preferred":false,"id":851955,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194325,"text":"70194325 - 2018 - Variability in eddy sandbar dynamics during two decades of controlled flooding of the Colorado River in the Grand Canyon","interactions":[],"lastModifiedDate":"2018-04-02T16:28:27","indexId":"70194325","displayToPublicDate":"2017-11-22T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3368,"text":"Sedimentary Geology","active":true,"publicationSubtype":{"id":10}},"title":"Variability in eddy sandbar dynamics during two decades of controlled flooding of the Colorado River in the Grand Canyon","docAbstract":"<p><span>Sandbars are iconic features of the Colorado River in the Grand Canyon, Arizona, U.S.A. Following completion of Glen Canyon Dam in 1963, sediment deficit conditions caused erosion of eddy sandbars throughout much of the 360</span><span>&nbsp;</span><span>km study reach downstream from the dam. Controlled floods in 1996, 2004, and 2008 demonstrated that sand on the channel bed could be redistributed to higher elevations, and that floods timed to follow tributary sediment inputs would increase suspended sand concentrations during floods. Since 2012, a new management protocol has resulted in four controlled floods timed to follow large inputs of sand from a major tributary. Monitoring of 44 downstream eddy sandbars, initiated in 1990, shows that each controlled flood deposited significant amounts of sand and increased the size of subaerial sandbars. However, the magnitude of sandbar deposition varied from eddy to eddy, even over relatively short distances where main-stem suspended sediment concentrations were similar. Here, we characterize spatial and temporal trends in sandbar volume and site-scale (i.e., individual eddy) sediment storage as a function of flow, channel, and vegetation characteristics that reflect the reach-scale (i.e., kilometer-scale) hydraulic environment. We grouped the long-term monitoring sites based on geomorphic setting and used a principal component analysis (PCA) to correlate differences in sandbar behavior to changes in reach-scale geomorphic metrics. Sites in narrow reaches are less-vegetated, stage changes markedly with discharge, sandbars tend to remain dynamic, and sand storage change dominantly occurs in the eddy compared to the main channel. In wider reaches, where stage-change during floods may be half that of narrow sites, sandbars are more likely to be stabilized by vegetation, and floods tend to aggrade the vegetated sandbar surfaces. In these locations, deposition during controlled floods is more akin to floodplain sedimentation, and the elevation of sandbar surfaces increases with successive floods. Because many sandbars are intermediate to the end members described above, high-elevation bar surfaces stabilized by vegetation often have a more dynamic unvegetated sandbar on the channel-ward margin that aggrades and erodes in response to controlled flood cycles. Ultimately, controlled floods have been effective at increasing averaged sandbar volumes, and, while bar deposition during floods decreases through time where vegetation has stabilized sandbars, future controlled floods are likely to continue to result in deposition in a majority of the river corridor.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.sedgeo.2017.11.007","usgsCitation":"Mueller, E.R., Grams, P.E., Hazel, J., and Schmidt, J.C., 2018, Variability in eddy sandbar dynamics during two decades of controlled flooding of the Colorado River in the Grand Canyon: Sedimentary Geology, v. 363, p. 181-199, https://doi.org/10.1016/j.sedgeo.2017.11.007.","productDescription":"19 p.","startPage":"181","endPage":"199","ipdsId":"IP-088808","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438069,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HD7SSW","text":"USGS data release","linkHelpText":"Colorado River Eddy Sandbar Dynamics Data"},{"id":349282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River, Grand Canyon","volume":"363","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad7e4b06e28e9c227a1","contributors":{"authors":[{"text":"Mueller, Erich R. 0000-0001-8202-154X emueller@usgs.gov","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":4930,"corporation":false,"usgs":true,"family":"Mueller","given":"Erich","email":"emueller@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":723314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":723315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazel, Joseph E. Jr.","contributorId":91819,"corporation":false,"usgs":true,"family":"Hazel","given":"Joseph E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":723316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":723317,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194314,"text":"70194314 - 2018 - Spring fasting behavior in a marine apex predator provides an index of ecosystem productivity","interactions":[],"lastModifiedDate":"2018-01-05T13:58:58","indexId":"70194314","displayToPublicDate":"2017-11-22T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Spring fasting behavior in a marine apex predator provides an index of ecosystem productivity","docAbstract":"<p><span>The effects of declining Arctic sea ice on local ecosystem productivity are not well understood but have been shown to vary inter-specifically, spatially, and temporally. Because marine mammals occupy upper trophic levels in Arctic food webs, they may be useful indicators for understanding variation in ecosystem productivity. Polar bears (</span><i>Ursus maritimus</i><span>) are apex predators that primarily consume benthic and pelagic-feeding ice-associated seals. As such, their productivity integrates sea ice conditions and the ecosystem supporting them. Declining sea ice availability has been linked to negative population effects for polar bears but does not fully explain observed population changes. We examined relationships between spring foraging success of polar bears and sea ice conditions, prey productivity, and general patterns of ecosystem productivity in the Beaufort and Chukchi Seas (CSs). Fasting status (≥7&nbsp;days) was estimated using serum urea and creatinine levels of 1,448 samples collected from 1,177 adult and subadult bears across three subpopulations. Fasting increased in the Beaufort Sea between 1983–1999 and 2000–2016 and was related to an index of ringed seal body condition. This change was concurrent with declines in body condition of polar bears and observed changes in the diet, condition and/or reproduction of four other vertebrate consumers within the food chain. In contrast, fasting declined in CS polar bears between periods and was less common than in the two Beaufort Sea subpopulations consistent with studies demonstrating higher primary productivity and maintenance or improved body condition in polar bears, ringed seals, and bearded seals despite recent sea ice loss in this region. Consistency between regional and temporal variation in spring polar bear fasting and food web productivity suggests that polar bears may be a useful indicator species. Furthermore, our results suggest that spatial and temporal ecological variation is important in affecting upper trophic-level productivity in these marine ecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13933","usgsCitation":"Rode, K.D., Wilson, R.H., Douglas, D.C., Muhlenbruch, V.L., Atwood, T.C., Regehr, E.V., Richardson, E., Pilfold, N., Derocher, A.E., Durner, G.M., Stirling, I., Amstrup, S.C., St. Martin, M., Pagano, A.M., and Simac, K.S., 2018, Spring fasting behavior in a marine apex predator provides an index of ecosystem productivity: Global Change Biology, v. 24, no. 1, p. 410-423, https://doi.org/10.1111/gcb.13933.","productDescription":"14 p.","startPage":"410","endPage":"423","ipdsId":"IP-085600","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":461107,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.13933","text":"Publisher Index Page"},{"id":438071,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SQ8XJC","text":"USGS data release","linkHelpText":"Serum Urea and Creatinine Levels of Spring-Caught Polar Bears (Ursus maritimus) in the Southern Beaufort and Chukchi Seas"},{"id":349268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-06","publicationStatus":"PW","scienceBaseUri":"5a60fad7e4b06e28e9c227a4","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":723232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":723233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhlenbruch, Vanessa L","contributorId":200747,"corporation":false,"usgs":false,"family":"Muhlenbruch","given":"Vanessa","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":723234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":723235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":723236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, Evan","contributorId":194428,"corporation":false,"usgs":false,"family":"Richardson","given":"Evan","affiliations":[],"preferred":false,"id":723237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pilfold, Nicholas","contributorId":200748,"corporation":false,"usgs":false,"family":"Pilfold","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":723238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Derocher, Andrew E.","contributorId":96189,"corporation":false,"usgs":false,"family":"Derocher","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":12980,"text":"Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":723239,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723240,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stirling, Ian","contributorId":72079,"corporation":false,"usgs":false,"family":"Stirling","given":"Ian","email":"","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":723241,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":723243,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"St. Martin, Michelle","contributorId":189169,"corporation":false,"usgs":false,"family":"St. Martin","given":"Michelle","affiliations":[],"preferred":false,"id":723244,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723245,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723246,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70198874,"text":"70198874 - 2018 - Broken bones and hammerstones at the Cerutti Mastodon site: A reply to Haynes","interactions":[],"lastModifiedDate":"2018-08-24T12:22:31","indexId":"70198874","displayToPublicDate":"2017-11-21T09:03:21","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5732,"text":"PaleoAmerica","active":true,"publicationSubtype":{"id":10}},"title":"Broken bones and hammerstones at the Cerutti Mastodon site: A reply to Haynes","docAbstract":"<p><span>Haynes [2017 “The Cerutti Mastodon.”&nbsp;</span><i>PaleoAmerica</i><span>&nbsp;3 (3): 196–199] criticizes numerous aspects of our analysis of the Cerutti Mastodon (CM) site, but central among his points is the claim that heavy equipment broke the bones and stones that we interpret as evidence of ancient human activity. This notion can be discounted primarily because most of the relevant CM fragments were found coated in thick crusts of pedogenic carbonate clearly showing that breakage occurred thousands of years ago. Haynes also raises questions about site stratigraphy, radiometric dating, and absence of other artifactual evidence. The stratigraphic context of CM bones and rocks is well-defined, and the Pleistocene site stratigraphy remained intact before excavation. Knapped stone tools are not a requirement in bone processing archaeological sites. In the absence of other plausible explanations for the multiple lines of evidence, we maintain that hominins broke the CM bones using stone hammers and anvils.</span></p>","language":"English","publisher":"Taylor & Francis ","doi":"10.1080/20555563.2017.1396835","usgsCitation":"Holen, S.R., Demere, T.A., Fisher, D.C., Fullagar, R., Paces, J.B., Jefferson, G.T., Beeton, J.M., Rountrey, A.N., and Holen, K.A., 2018, Broken bones and hammerstones at the Cerutti Mastodon site: A reply to Haynes: PaleoAmerica, v. 4, no. 1, p. 8-11, https://doi.org/10.1080/20555563.2017.1396835.","productDescription":"4 p.","startPage":"8","endPage":"11","ipdsId":"IP-090894","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":356690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California ","otherGeospatial":"Cerutti Mastodon site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.29690551757814,\n              32.52249989111295\n            ],\n            [\n              -116.94671630859375,\n              32.52249989111295\n            ],\n            [\n              -116.94671630859375,\n              32.83228893100241\n            ],\n            [\n              -117.29690551757814,\n              32.83228893100241\n            ],\n            [\n              -117.29690551757814,\n              32.52249989111295\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-21","publicationStatus":"PW","scienceBaseUri":"5b98a327e4b0702d0e843032","contributors":{"authors":[{"text":"Holen, Steven R.","contributorId":207197,"corporation":false,"usgs":false,"family":"Holen","given":"Steven","email":"","middleInitial":"R.","affiliations":[{"id":35320,"text":"Center for American Paleolithic Research","active":true,"usgs":false}],"preferred":false,"id":743207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demere, Thomas A.","contributorId":207198,"corporation":false,"usgs":false,"family":"Demere","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":16175,"text":"San Diego Natural History Museum","active":true,"usgs":false}],"preferred":false,"id":743208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Daniel C.","contributorId":207199,"corporation":false,"usgs":false,"family":"Fisher","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":743209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fullagar, Richard","contributorId":207200,"corporation":false,"usgs":false,"family":"Fullagar","given":"Richard","email":"","affiliations":[{"id":37474,"text":"University of Wollongong","active":true,"usgs":false}],"preferred":false,"id":743210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":743206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jefferson, George T.","contributorId":207201,"corporation":false,"usgs":false,"family":"Jefferson","given":"George","email":"","middleInitial":"T.","affiliations":[{"id":35321,"text":"California Department of Parks and Recreation","active":true,"usgs":false}],"preferred":false,"id":743211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beeton, Jared M.","contributorId":207202,"corporation":false,"usgs":false,"family":"Beeton","given":"Jared","email":"","middleInitial":"M.","affiliations":[{"id":35322,"text":"Adams State College","active":true,"usgs":false}],"preferred":false,"id":743212,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rountrey, Adam N.","contributorId":207203,"corporation":false,"usgs":false,"family":"Rountrey","given":"Adam","email":"","middleInitial":"N.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":743213,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holen, Kathleen A.","contributorId":207204,"corporation":false,"usgs":false,"family":"Holen","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[{"id":37475,"text":"Center for American Paleolithic Studies","active":true,"usgs":false}],"preferred":false,"id":743214,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70222616,"text":"70222616 - 2018 - The 2015 Gorkha (Nepal) Earthquake sequence: I. Source modeling and deterministic 3D ground shaking","interactions":[],"lastModifiedDate":"2021-08-09T13:26:10.316998","indexId":"70222616","displayToPublicDate":"2017-11-21T08:21:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"The 2015 Gorkha (Nepal) Earthquake sequence: I. Source modeling and deterministic 3D ground shaking","docAbstract":"<p><span>To better quantify the relatively long period (&lt;</span><span>&nbsp;</span><span>0.3</span><span>&nbsp;</span><span>Hz) shaking experienced during the 2015 Gorkha (Nepal) earthquake sequence, we study the finite rupture processes and the associated 3D ground motion of the Mw7.8 mainshock and the Mw7.2&nbsp;<a class=\"topic-link\" title=\"Learn more about Aftershock from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/aftershock\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/aftershock\">aftershock</a>. The 3D synthetics are then used in the broadband ground shaking in Kathmandu with a hybrid approach, summarized in a companion paper (Chen and Wei, 2017, submitted together). We determined the coseismic rupture process of the mainshock by joint inversion of InSAR/SAR,&nbsp;<a class=\"topic-link\" title=\"Learn more about Global Positioning System from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/global-positioning-system\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/global-positioning-system\">GPS</a>&nbsp;(static and high-rate), strong motion and teleseismic waveforms. Our inversion for the mainshock indicates unilateral rupture towards the ESE, with an average rupture speed of 3.0</span><span>&nbsp;</span><span>km/s and a total duration of ~</span><span>&nbsp;</span><span>60</span><span>&nbsp;</span><span>s. Additionally, we find that the beginning part of the rupture (5–18</span><span>&nbsp;</span><span>s) has about 40% longer rise time than the rest of the rupture, as well as slower rupture velocity. Our model shows two strong asperities occurring ~</span><span>&nbsp;</span><span>24</span><span>&nbsp;</span><span>s and ~</span><span>&nbsp;</span><span>36</span><span>&nbsp;</span><span>s after the origin and located ~</span><span>&nbsp;</span><span>30</span><span>&nbsp;</span><span>km to the northwest and northeast of the Kathmandu valley, respectively. In contrast, the Mw7.2 aftershock is more compact both in time and space, as revealed by joint inversion of teleseismic body waves and InSAR data. The different rupture features between the mainshock and the aftershock could be related to difference in fault zone structure. The mainshock and aftershock ground motions in the Kathmandu valley, recorded by both strong motion and high-rate GPS stations, exhibited strong amplification around 0.2</span><span>&nbsp;</span><span>Hz. A simplified 3D basin model, calibrated by an Mw5.2 aftershock, can match the observed waveforms reasonably well at 0.3</span><span>&nbsp;</span><span>Hz and lower frequency. The 3D simulations indicate that the basin structure trapped the wavefield and produced an extensive ground vibration. Our study suggests that the combination of rupture characteristics and propagational complexity are required to understand the ground shaking produced by hazardous earthquakes such as the Gorkha event.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2017.11.024","usgsCitation":"Wei, S., Chen, M., Wang, X., Graves, R., Lindsey, E., Wang, T., Karakas, C., and Helmberger, D., 2018, The 2015 Gorkha (Nepal) Earthquake sequence: I. Source modeling and deterministic 3D ground shaking: Tectonophysics, v. 722, p. 447-461, https://doi.org/10.1016/j.tecto.2017.11.024.","productDescription":"15 p.","startPage":"447","endPage":"461","ipdsId":"IP-090039","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469156,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2017.11.024","text":"Publisher Index Page"},{"id":387776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              86.539306640625,\n              26.696545111585152\n            ],\n            [\n              86.802978515625,\n              27.848790459862073\n            ],\n            [\n              82.650146484375,\n              29.6594160549124\n            ],\n            [\n              82.034912109375,\n              28.159189634046708\n            ],\n            [\n              85.4296875,\n              27.127591028502078\n            ],\n            [\n              86.539306640625,\n              26.696545111585152\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"722","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wei, Shengji","contributorId":192953,"corporation":false,"usgs":false,"family":"Wei","given":"Shengji","email":"","affiliations":[],"preferred":false,"id":820768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Meng","contributorId":261912,"corporation":false,"usgs":false,"family":"Chen","given":"Meng","email":"","affiliations":[{"id":48937,"text":"Earth Observatory of Singapore, Nanyang Technological University, Singapore","active":true,"usgs":false}],"preferred":false,"id":820769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Xin","contributorId":177411,"corporation":false,"usgs":false,"family":"Wang","given":"Xin","email":"","affiliations":[],"preferred":false,"id":820770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindsey, Eric","contributorId":261913,"corporation":false,"usgs":false,"family":"Lindsey","given":"Eric","email":"","affiliations":[{"id":48937,"text":"Earth Observatory of Singapore, Nanyang Technological University, Singapore","active":true,"usgs":false}],"preferred":false,"id":820772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Teng","contributorId":156235,"corporation":false,"usgs":false,"family":"Wang","given":"Teng","email":"","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":820773,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Karakas, Cagil","contributorId":261914,"corporation":false,"usgs":false,"family":"Karakas","given":"Cagil","email":"","affiliations":[{"id":48937,"text":"Earth Observatory of Singapore, Nanyang Technological University, Singapore","active":true,"usgs":false}],"preferred":false,"id":820774,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Helmberger, Don","contributorId":192954,"corporation":false,"usgs":false,"family":"Helmberger","given":"Don","email":"","affiliations":[],"preferred":false,"id":820775,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70194250,"text":"70194250 - 2018 - A Holocene record of ocean productivity and upwelling from the northern California continental slope","interactions":[],"lastModifiedDate":"2018-04-27T16:49:28","indexId":"70194250","displayToPublicDate":"2017-11-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"A Holocene record of ocean productivity and upwelling from the northern California continental slope","docAbstract":"<p><span>The Holocene upwelling history of the northern California continental slope is examined using the high-resolution record of TN062-O550 (40.9°N, 124.6°W, 550&nbsp;m water depth). This 7-m-long marine sediment core spans the last ∼7500 years, and we use it to test the hypothesis that marine productivity in the California Current System (CCS) driven by coastal upwelling has co-varied with Holocene millennial-scale warm intervals. A combination of biogenic sediment concentrations (opal, total organic C, and total N), stable isotopes (organic matter δ</span><sup>13</sup><span>C and bulk sedimentary δ</span><sup>15</sup><span>N), and key microfossil indicators of upwelling were used to test this hypothesis. The record of biogenic accumulation in TN062-O550 shows considerable Holocene variability despite being located within 50&nbsp;km of the mouth of the Eel River, which is one of the largest sources of terrigenous sediment to the Northeast Pacific Ocean margin. A key time interval beginning at ∼2900 calibrated years before present (cal yr BP) indicates the onset of modern upwelling in the CCS, and this period also corresponds to the most intense period of upwelling in the last 7500 years. When these results are placed into a regional CCS context during the Holocene, it was found that the timing of upwelling intensification at TN062-O550 corresponds closely to that seen at nearby ODP Site 1019, as well as in the Santa Barbara Basin of southern California. Other CCS records with less refined age control show similar results, which suggest late Holocene upwelling intensification may be synchronous throughout the CCS. Based on the strong correspondence between the alkenone sea surface temperature record at ODP Site 1019 and the onset of late Holocene upwelling in northern California, we suggest that CCS warming may be conducive to upwelling intensification, though future changes are unclear as the mechanisms forcing SST variability may differ.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2017.02.021","usgsCitation":"Addison, J.A., Barron, J.A., Finney, B.P., Kusler, J.E., Bukry, D., Heusser, L.E., and Alexander, C.R., 2018, A Holocene record of ocean productivity and upwelling from the northern California continental slope: Quaternary International, v. 469, no. 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,{"id":70193707,"text":"70193707 - 2018 - Waterbird communities and seed biomass in managed and reference-restored wetlands in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2018-05-29T13:48:07","indexId":"70193707","displayToPublicDate":"2017-11-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Waterbird communities and seed biomass in managed and reference-restored wetlands in the Mississippi Alluvial Valley","docAbstract":"<p><span>The Natural Resources Conservation Service (NRCS) commenced the Migratory Bird Habitat Initiative (MBHI) in summer 2010 after the April 2010 Deepwater Horizon oil spill in the Gulf of Mexico. The MBHI enrolled in the program 193,000 ha of private wet- and cropland inland from potential oil-impaired wetlands. We evaluated waterfowl and other waterbird use and potential seed/tuber food resources in NRCS Wetland Reserve Program easement wetlands managed via MBHI funding and associated reference wetlands in the Mississippi Alluvial Valley of Arkansas, Louisiana, Mississippi, and Missouri. In Louisiana and Mississippi, nearly three times more dabbling ducks and all ducks combined were observed on managed than reference wetlands. Shorebirds and waterbirds other than waterfowl were nearly twice as abundant on managed than referenced wetlands. In Arkansas and Missouri, managed wetlands had over twice more dabbling ducks and nearly twice as many duck species than reference wetlands. Wetlands managed via MBHI in Mississippi and Louisiana contained ≥1.3 times more seed and tuber biomass known to be consumed by waterfowl than reference wetlands. Seed and tuber resources did not differ between wetlands in Arkansas and Missouri. While other studies have documented greater waterbird densities on actively than nonmanaged wetlands, our results highlighted the potential for initiatives focused on managing conservation easements to increase waterbird use and energetic carrying capacity of restored wetlands for waterbirds.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12598","usgsCitation":"Tapp, J.L., Weegman, M.M., Webb, E.B., Kaminski, R.M., and Davis, J.B., 2018, Waterbird communities and seed biomass in managed and reference-restored wetlands in the Mississippi Alluvial Valley: Restoration Ecology, v. 26, no. 3, p. 591-599, https://doi.org/10.1111/rec.12598.","productDescription":"9 p.","startPage":"591","endPage":"599","ipdsId":"IP-084499","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.0654296875,\n              29.649868677972304\n            ],\n            [\n              -88.92333984375,\n              29.649868677972304\n            ],\n            [\n              -88.92333984375,\n              37.70120736474139\n            ],\n            [\n              -92.0654296875,\n              37.70120736474139\n            ],\n            [\n              -92.0654296875,\n              29.649868677972304\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-18","publicationStatus":"PW","scienceBaseUri":"5a60fb0de4b06e28e9c22b6b","contributors":{"authors":[{"text":"Tapp, Jessica L.","contributorId":172203,"corporation":false,"usgs":false,"family":"Tapp","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weegman, Matthew M.","contributorId":200610,"corporation":false,"usgs":false,"family":"Weegman","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":722850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":722851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaminski, Richard M.","contributorId":78205,"corporation":false,"usgs":false,"family":"Kaminski","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":722852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, J. Brian hdavis@usgs.gov","contributorId":199997,"corporation":false,"usgs":false,"family":"Davis","given":"J.","email":"hdavis@usgs.gov","middleInitial":"Brian","affiliations":[],"preferred":false,"id":722853,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193527,"text":"ofr20171140 - 2018 - Characteristics of peak streamflows and extent of inundation in areas of West Virginia and southwestern Virginia affected by flooding, June 2016","interactions":[],"lastModifiedDate":"2018-09-27T15:11:09","indexId":"ofr20171140","displayToPublicDate":"2017-11-17T14:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1140","title":"Characteristics of peak streamflows and extent of inundation in areas of West Virginia and southwestern Virginia affected by flooding, June 2016","docAbstract":"<p>Heavy rainfall occurred across central and southern West<br>Virginia in June 2016 as a result of repeated rounds of torrential<br>thunderstorms. The storms caused major flooding and flash<br>flooding in central and southern West Virginia with Kanawha,<br>Fayette, Nicholas, and Greenbrier Counties among the hardest<br>hit. Over the duration of the storms, from 8 to 9.37 inches of<br>rain was reported in areas in Greenbrier County. Peak streamflows<br>were the highest on record at 7 locations, and streamflows<br>at 18 locations ranked in the top five for the period of<br>record at U.S. Geological Survey streamflow-gaging stations<br>used in this study. Following the storms, U.S. Geological Survey<br>hydrographers identified and documented 422 high-water<br>marks in West Virginia, noting location and height of the water<br>above land surface. Many of these high-water marks were<br>used to create flood-inundation maps for selected communities<br>of West Virginia that experienced flooding in June 2016.<br>Digital datasets of the inundation areas, mapping boundaries,<br>and water depth rasters are available online. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171140","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Austin, S.H., Watson, K.M., Lotspeich, R.R., Cauller, S.J., White, J.S., and Wicklein, S.M., 2018, Characteristics of peak streamflows and extent of inundation in areas of West Virginia and southwestern Virginia affected by flooding, June 2016 (ver. 1.1, September 2018): U.S. Geological Survey Open-File Report 2017–1140, 35 p., https://doi. org/10.3133/ofr20171140. ","productDescription":"Report: vi, 35 p.; Appendixes 1-3; Data Release","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082022","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":348766,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1140/ofr20171140_appendix02.pdf","text":"Appendix 2","size":"12.9 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Graphs Showing Annual Exceedance Probabilities in Relation to Annual Peak Streamflow, Determined Using the Expected Moments Algorithm and Bulletin 17B Methods, for Selected Streamflow-Gaging Stations for the Period of Record  through 1990, 2015, and 2016 and Annual Peak Streamflow, by Water Year 1900–2016"},{"id":348763,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1140/coverthb2.jpg"},{"id":348857,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76T0K4K","text":"USGS data release","description":"USGS data release","linkHelpText":"Flood Inundation, Flood Depth, and High-Water Marks for Selected Areas in West Virginia from the June 2016 Flood"},{"id":348768,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1140/ofr20171140_appendix03-table03-2.xlsx","text":"Appendix 3 (Table 3-2)","size":"168 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Summary from six analyses estimating peak-flow exceedance probabilities at 18 streamflow-gaging stations associated with June 2016 flooding in West Virginia and southwestern Virginia."},{"id":348955,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1140/ofr20171140_appendix03-table03-3.xlsx","text":"Appendix 3 (Table 3-3)","size":"46.1 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Expanded summary of percent changes since 1990 in estimated peak-flow annual exceedance probabilities from six analyses using two methods for 18 streamflow-gaging stations associated with June 2016 flooding in West Virginia and southwestern Virginia using data for the period of record through 1990, 2015, and 2016"},{"id":357784,"rank":9,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2017/1140/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":348767,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1140/ofr20171140_appendix03-table03-1.xlsx","text":"Appendix 3 (Table 3-1)","size":"36.3 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Site description exceedance probabilities, equivalent recurrence intervals and summary statistics for 18 streamflow-gaging stations associated with June 2016 Flooding in West Virginia and southwestern Virginia\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t"},{"id":348765,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1140/ofr20171140_appendix01.pdf","text":"Appendix 1 ","size":"179 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Graphs Showing Selected Annual Exceedance Probabilities in Relation to Streamflow Using the Expected Moments Algorithm Method for Selected Streamflow-Gaging Stations in West Virginia for the Period of Record through 1990, 2015, and 2016 "},{"id":348764,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1140/ofr20171140.pdf","text":"Report","size":"117 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1140"}],"country":"United States","state":"Virginia, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82,\n              37\n            ],\n            [\n              -79.5,\n              37\n            ],\n            [\n              -79.5,\n              39\n            ],\n            [\n              -82,\n              39\n            ],\n            [\n              -82,\n              37\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.1: September 2018; Version 1.0: November 2017","contact":"<p><a href=\"mailto:dc@wva.gov\" data-mce-href=\"mailto:dc@wva.gov\">Director</a>, <a href=\"http://va.water.usgs.gov/\" data-mce-href=\"http://va.water.usgs.gov/\">Virginia and West Virginia Water Science Center</a><br> U.S. Geological Survey <br> 1730 East Parham Road <br> Richmond, VA 23228</p>","tableOfContents":"<ul><li>Abstract&nbsp;</li><li>Introduction</li><li>Weather Conditions Before and During the Flood</li><li>Methods</li><li>Estimated Magnitudes and Flood Probabilities for Peak Streamflows</li><li>Flood-Inundation Maps&nbsp;</li><li>Flood Damages</li><li>Summary</li><li>References Cited</li><li>Appendix 1.&nbsp;Graphs Showing Selected Annual Exceedance Probabilities in Relation to Streamflow Using the Expected Moments Algorithm Method for Selected Streamflow-Gaging Stations in West Virginia for the Period of Record through 1990, 2015, and 2016&nbsp;</li><li>Appendix 2.&nbsp;Graphs Showing Annual Exceedance Probabilities in Relation to Annual Peak&nbsp;Streamflow, Determined Using the Expected Moments Algorithm and Bulletin 17B Methods, for Selected Streamflow-Gaging Stations for the Period of Record&nbsp; through 1990, 2015, and 2016 and Annual Peak Streamflow, by Water Year 1900–2016</li><li>Appendix 3.&nbsp;Three Tables Listing Expanded Summaries of Site Descriptions, Exceedance&nbsp;Probabilities, Equivalent Recurrence Intervals, Statistics, and Percent Change Since&nbsp;1990 in Estimated Peak-Flow Annual Exceedance Probabilities for 18 Streamflow-Gaging Stations Associated with June 2016 Flooding in West Virginia and Southwestern&nbsp;Virginia Using Data for the Period of Record through 1990, 2015, and 2016&nbsp;</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2017-11-17","revisedDate":"2018-09-27","noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","scienceBaseUri":"5a60fb0ee4b06e28e9c22b73","contributors":{"authors":[{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":719269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":719274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lotspeich, R. Russell 0000-0002-5572-9064 rlotspei@usgs.gov","orcid":"https://orcid.org/0000-0002-5572-9064","contributorId":194107,"corporation":false,"usgs":true,"family":"Lotspeich","given":"R. Russell","email":"rlotspei@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":719270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cauller, Stephen J. 0000-0002-1823-8813 sjcaulle@usgs.gov","orcid":"https://orcid.org/0000-0002-1823-8813","contributorId":199484,"corporation":false,"usgs":true,"family":"Cauller","given":"Stephen","email":"sjcaulle@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":719272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Jeremy S. 0000-0002-1501-1074 jswhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1501-1074","contributorId":3905,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jswhite@usgs.gov","middleInitial":"S.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":719273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wicklein, Shaun 0000-0003-4551-1237 smwickle@usgs.gov","orcid":"https://orcid.org/0000-0003-4551-1237","contributorId":3389,"corporation":false,"usgs":true,"family":"Wicklein","given":"Shaun","email":"smwickle@usgs.gov","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":719271,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70216340,"text":"70216340 - 2018 - Characterizing uncertainty in daily streamflow estimates at ungauged locations for the Massachusetts sustainable yield estimator","interactions":[],"lastModifiedDate":"2020-11-13T20:50:23.999745","indexId":"70216340","displayToPublicDate":"2017-11-17T10:40:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing uncertainty in daily streamflow estimates at ungauged locations for the Massachusetts sustainable yield estimator","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Hydrologic characterization at ungauged locations is one of the quintessential challenges of hydrology. Beyond simulation of historical streamflows, it is similarly important to characterize the level of uncertainty in hydrologic estimates. In tandem with updates to Massachusetts Sustainable Yield Estimator, this work explores the application of global uncertainty estimates to daily streamflow simulations. Expanding on a method developed for deterministic modeling, this approach produces confidence intervals on daily streamflow developed through nonlinear spatial interpolation of daily streamflow using flow duration curves; the 95% confidence is examined. Archived cross‐validations of daily streamflows from 66 watersheds in and around Massachusetts are used to evaluate an approach to uncertainty characterization. Neighboring sites are treated as ungauged, producing relative errors that can be resampled and applied to target sites. The method, with some modification, is found to provide appropriately narrow confidence intervals that contain 95% of the observed streamflows in cross‐validation. Further characterizing uncertainty, multiday means of daily streamflow are evaluated. Working through cross‐validation in Massachusetts, two‐ to three‐month averages of daily streamflow show the best performance. These two approaches to uncertainty characterization inform how streamflow simulation produced for prediction in ungauged basins can be used for water resources management.</p></div></div>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12603","usgsCitation":"Farmer, W., and Levin, S., 2018, Characterizing uncertainty in daily streamflow estimates at ungauged locations for the Massachusetts sustainable yield estimator: Journal of the American Water Resources Association, v. 54, no. 1, p. 198-210, https://doi.org/10.1111/1752-1688.12603.","productDescription":"13 p.","startPage":"198","endPage":"210","ipdsId":"IP-082477","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469157,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12603","text":"Publisher Index 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 \"}}]}","volume":"54","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Farmer, William H. 0000-0002-2865-2196","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":223181,"corporation":false,"usgs":true,"family":"Farmer","given":"William H.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":804752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levin, Sara B. 0000-0002-2448-3129","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":209947,"corporation":false,"usgs":true,"family":"Levin","given":"Sara B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":804753,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192777,"text":"70192777 - 2018 - A spatial approach to combatting wildlife crime","interactions":[],"lastModifiedDate":"2018-05-21T13:21:31","indexId":"70192777","displayToPublicDate":"2017-11-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"A spatial approach to combatting wildlife crime","docAbstract":"<p><span>Poaching can have devastating impacts on animal and plant numbers, and in many countries has reached crisis levels, with illegal hunters employing increasingly sophisticated techniques. Here, we show how geographic profiling – a mathematical technique originally developed in criminology and recently applied to animal foraging and epidemiology – can be adapted for use in investigations of wildlife crime, using data from an eight-year study in Savé Valley Conservancy, Zimbabwe that in total includes more than 10,000 incidents of illegal hunting and the deaths of 6,454 wild animals. Using a subset of these data for which the illegal hunters’ identities are known, we show that the model can successfully identify the illegal hunters’ home villages using the spatial locations of hunting incidences (for example, snares) as input, and show how this can be improved by manipulating the probability surface inside the Conservancy to reflect the fact that – although the illegal hunters mostly live outside the Conservancy, the majority of hunting occurs inside (in criminology, ‘commuter crime’). The results of this analysis – combined with rigorous simulations – show for the first time how geographic profiling can be combined with GIS data and applied to situations with more complex spatial patterns – for example, where landscape heterogeneity means that some parts of the study area are unsuitable (e.g. aquatic areas for terrestrial animals, or vice versa), or where landscape permeability differs (for example, forest bats tending not to fly over open areas). More broadly, these results show how geographic profiling can be used to target anti-poaching interventions more effectively and more efficiently, with important implications for the development of management strategies and conservation plans in a range of conservation scenarios.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13027","usgsCitation":"Faulkner, S.C., Stevens, M.C., Romanach, S.S., Lindsey, P.A., and LeComber, S.C., 2018, A spatial approach to combatting wildlife crime: Conservation Biology, v. 32, no. 3, p. 685-693, https://doi.org/10.1111/cobi.13027.","productDescription":"9 p.","startPage":"685","endPage":"693","ipdsId":"IP-085198","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469158,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/25863","text":"External Repository"},{"id":349057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-06","publicationStatus":"PW","scienceBaseUri":"5a60fb0fe4b06e28e9c22b82","contributors":{"authors":[{"text":"Faulkner, Sally C.","contributorId":198703,"corporation":false,"usgs":false,"family":"Faulkner","given":"Sally","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":716891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Michael C.A.","contributorId":198704,"corporation":false,"usgs":false,"family":"Stevens","given":"Michael","email":"","middleInitial":"C.A.","affiliations":[],"preferred":false,"id":716892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":716890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsey, Peter A.","contributorId":198705,"corporation":false,"usgs":false,"family":"Lindsey","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeComber, Steven C.","contributorId":198706,"corporation":false,"usgs":false,"family":"LeComber","given":"Steven","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":716894,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217712,"text":"70217712 - 2018 - Using halogens (Cl, Br, I) to understand the hydrogeochemical evolution of drought-derived saline porewater beneath a prairie wetland","interactions":[],"lastModifiedDate":"2021-01-29T13:31:55.808394","indexId":"70217712","displayToPublicDate":"2017-11-16T07:25:49","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Using halogens (Cl, Br, I) to understand the hydrogeochemical evolution of drought-derived saline porewater beneath a prairie wetland","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0050\"><span>Numerous&nbsp;closed-basin&nbsp;prairie wetlands throughout the Prairie Pothole Region (PPR) of North America maintain moderate surface pond&nbsp;salinities&nbsp;(total dissolved solids [TDS] from 1 to 10</span>&nbsp;g&nbsp;L<sup>−&nbsp;1</sup><span>) under semiarid climate by accumulation of&nbsp;gypsum&nbsp;and saline lenses of sulfate-rich&nbsp;porewater&nbsp;(TDS</span>&nbsp;&gt;&nbsp;10&nbsp;g&nbsp;L<sup>−&nbsp;1</sup><span>) in wetland sediments during&nbsp;droughts. In order to understand the hydrogeochemical origin and composition of these saline porewaters, we made a detailed&nbsp;geochemical survey&nbsp;of Cl</span><sup>−</sup>, SO<sub>4</sub><sup>2&nbsp;−</sup>, Br, and I in the porewater, pondwater, and upland groundwater of a typical closed-basin prairie wetland (P1 in the Cottonwood Lake study area, North Dakota). Concentrations of Cl<sup>−</sup><span>&nbsp;</span>ranged up to 5.9&nbsp;mM in the saline porewaters, and was strongly correlated with SO<sub>4</sub><sup>2&nbsp;−</sup><span>&nbsp;</span>and Br (Pearson's<span>&nbsp;</span><i>r</i>&nbsp;&gt;&nbsp;0.7,<span>&nbsp;</span><i>p</i>&nbsp;&lt;&nbsp;0.05; concentrations ranging up to 131&nbsp;mM and 39&nbsp;<span>μM, respectively) due to the conservative effects of surface&nbsp;water evaporation. In contrast, total dissolved I was not significantly correlated with Cl</span><sup>−</sup><span>&nbsp;</span>(Pearson's<span>&nbsp;</span><i>r</i>&nbsp;=&nbsp;0.18,<span>&nbsp;</span><i>p</i>&nbsp;=&nbsp;0.273) and was concentrated in porewaters located above the saline lenses with a peak concentration of 4.1&nbsp;μM beneath the center of the wetland— the highest value for dissolved I ever measured in a terrestrial aquatic system and an order of magnitude above that of seawater. We hypothesize that chromatographic separation between more mobile anions (Cl<sup>−</sup>, SO<sub>4</sub><sup>2&nbsp;−</sup>, Br<sup>−</sup><span>) and I occurs during droughts when wetland ponds dry and sedimentary&nbsp;iodide&nbsp;(I</span><sup>−</sup><span>) oxidizes to its less-mobile form,&nbsp;iodate&nbsp;(IO</span><sub>3</sub><sup>−</sup><span>). Understanding the origin and geochemical composition of porewater salinity that develops beneath prairie wetlands during drought can help to fingerprint sources of salinity to wetland ponds during wet climate and elucidate halogen systematics in saline and organic-rich subsurface environments associated with&nbsp;hydrocarbon generation.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2017.11.017","usgsCitation":"Levy, Z., Mills, C.T., Lu, Z., Goldhaber, M.B., Rosenberry, D.O., Mushet, D.M., Lautz, L.K., Zhou, X., and Siegel, D.I., 2018, Using halogens (Cl, Br, I) to understand the hydrogeochemical evolution of drought-derived saline porewater beneath a prairie wetland: Chemical Geology, v. 476, p. 191-207, https://doi.org/10.1016/j.chemgeo.2017.11.017.","productDescription":"17 p.","startPage":"191","endPage":"207","ipdsId":"IP-088138","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":461113,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2017.11.017","text":"Publisher Index Page"},{"id":382784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Cottonwood Lake study area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.645751953125,\n              46.042735653846506\n            ],\n            [\n              -97.064208984375,\n              46.042735653846506\n            ],\n            [\n              -97.064208984375,\n              47.517200697839414\n            ],\n            [\n              -100.645751953125,\n              47.517200697839414\n            ],\n            [\n              -100.645751953125,\n              46.042735653846506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"476","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Levy, Zeno F.","contributorId":248536,"corporation":false,"usgs":false,"family":"Levy","given":"Zeno F.","affiliations":[{"id":49938,"text":"Syracuse University, Syracuse, NY","active":true,"usgs":false}],"preferred":false,"id":809335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":147396,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher","email":"cmills@usgs.gov","middleInitial":"T.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":809336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Zunli","contributorId":248537,"corporation":false,"usgs":false,"family":"Lu","given":"Zunli","email":"","affiliations":[{"id":49938,"text":"Syracuse University, Syracuse, NY","active":true,"usgs":false}],"preferred":false,"id":809337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":809338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":809339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248538,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":809340,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lautz, Laura K.","contributorId":38890,"corporation":false,"usgs":true,"family":"Lautz","given":"Laura","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":809341,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, Xiaoli","contributorId":248562,"corporation":false,"usgs":false,"family":"Zhou","given":"Xiaoli","email":"","affiliations":[],"preferred":false,"id":809378,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Siegel, Donald I.","contributorId":178130,"corporation":false,"usgs":false,"family":"Siegel","given":"Donald","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":809342,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70194133,"text":"70194133 - 2018 - Estimating disperser abundance using open population models that incorporate data from continuous detection PIT arrays","interactions":[],"lastModifiedDate":"2018-08-31T11:07:02","indexId":"70194133","displayToPublicDate":"2017-11-16T00:00:00","publicationYear":"2018","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":"Estimating disperser abundance using open population models that incorporate data from continuous detection PIT arrays","docAbstract":"<p><span>Autonomous passive integrated transponder (PIT) tag antenna systems continuously detect individually marked organisms at one or more fixed points over long time periods. Estimating abundance using data from autonomous antennae can be challenging, because these systems do not detect unmarked individuals. Here we pair PIT antennae data from a tributary with mark-recapture sampling data in a mainstem river to estimate the number of fish moving from the mainstem to the tributary. We then use our model to estimate abundance of non-native rainbow trout Oncorhynchus mykiss that move from the Colorado River to the Little Colorado River (LCR), the latter of which is important spawning and rearing habitat for federally-endangered humpback chub Gila cypha. We estimate 226 rainbow trout (95% CI: 127-370) entered the LCR from October 2013-April 2014. We discuss the challenges of incorporating detections from autonomous PIT antenna systems into mark-recapture population models, particularly in regards to using information about spatial location to estimate movement and detection probabilities.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0304","usgsCitation":"Dzul, M.C., Yackulic, C.B., and Korman, J., 2018, Estimating disperser abundance using open population models that incorporate data from continuous detection PIT arrays: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 9, p. 1393-1404, https://doi.org/10.1139/cjfas-2017-0304.","productDescription":"12 p.","startPage":"1393","endPage":"1404","ipdsId":"IP-081814","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438073,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ86JV","text":"USGS data release","linkHelpText":"Continuous Detection PIT Array Data &amp; Model"},{"id":349027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.9342041015625,\n              36.121236902880185\n            ],\n            [\n              -111.66778564453125,\n              36.121236902880185\n            ],\n            [\n              -111.66778564453125,\n              36.465471886798134\n            ],\n            [\n              -111.9342041015625,\n              36.465471886798134\n            ],\n            [\n              -111.9342041015625,\n              36.121236902880185\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb10e4b06e28e9c22b91","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":722302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":722304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":722306,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194178,"text":"70194178 - 2018 - Multi-model comparison highlights consistency in predicted effect of warming on a semi-arid shrub","interactions":[],"lastModifiedDate":"2018-01-05T14:01:57","indexId":"70194178","displayToPublicDate":"2017-11-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-model comparison highlights consistency in predicted effect of warming on a semi-arid shrub","docAbstract":"<p><span>A number of modeling approaches have been developed to predict the impacts of climate change on species distributions, performance, and abundance. The stronger the agreement from models that represent different processes and are based on distinct and independent sources of information, the greater the confidence we can have in their predictions. Evaluating the level of confidence is particularly important when predictions are used to guide conservation or restoration decisions. We used a multi-model approach to predict climate change impacts on big sagebrush (</span><i>Artemisia tridentata</i><span>), the dominant plant species on roughly 43&nbsp;million hectares in the western United States and a key resource for many endemic wildlife species. To evaluate the climate sensitivity of<span>&nbsp;</span></span><i>A. tridentata</i><span>, we developed four predictive models, two based on empirically derived spatial and temporal relationships, and two that applied mechanistic approaches to simulate sagebrush recruitment and growth. This approach enabled us to produce an aggregate index of climate change vulnerability and uncertainty based on the level of agreement between models. Despite large differences in model structure, predictions of sagebrush response to climate change were largely consistent. Performance, as measured by change in cover, growth, or recruitment, was predicted to decrease at the warmest sites, but increase throughout the cooler portions of sagebrush's range. A sensitivity analysis indicated that sagebrush performance responds more strongly to changes in temperature than precipitation. Most of the uncertainty in model predictions reflected variation among the ecological models, raising questions about the reliability of forecasts based on a single modeling approach. Our results highlight the value of a multi-model approach in forecasting climate change impacts and uncertainties and should help land managers to maximize the value of conservation investments.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13900","usgsCitation":"Renwick, K.M., Curtis, C., Kleinhesselink, A.R., Schlaepfer, D., Bradley, B.A., Aldridge, C.L., Poulter, B., and Adler, P.B., 2018, Multi-model comparison highlights consistency in predicted effect of warming on a semi-arid shrub: Global Change Biology, v. 24, no. 1, p. 424-438, https://doi.org/10.1111/gcb.13900.","productDescription":"15 p.","startPage":"424","endPage":"438","ipdsId":"IP-087416","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469159,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.13900","text":"External Repository"},{"id":349003,"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              -120.16845703125,\n              34.19817309627726\n            ],\n            [\n              -103.99658203125,\n              34.19817309627726\n            ],\n            [\n              -103.99658203125,\n              48.980216985374994\n            ],\n            [\n              -120.16845703125,\n              48.980216985374994\n            ],\n            [\n              -120.16845703125,\n              34.19817309627726\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-11","publicationStatus":"PW","scienceBaseUri":"5a60fad7e4b06e28e9c227aa","contributors":{"authors":[{"text":"Renwick, Katherine M.","contributorId":200471,"corporation":false,"usgs":false,"family":"Renwick","given":"Katherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":722465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curtis, Caroline","contributorId":200472,"corporation":false,"usgs":false,"family":"Curtis","given":"Caroline","email":"","affiliations":[],"preferred":false,"id":722466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kleinhesselink, Andrew R.","contributorId":192387,"corporation":false,"usgs":false,"family":"Kleinhesselink","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":722469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Bethany A.","contributorId":40117,"corporation":false,"usgs":true,"family":"Bradley","given":"Bethany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":722464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulter, Benjamin 0000-0002-9493-8600","orcid":"https://orcid.org/0000-0002-9493-8600","contributorId":200477,"corporation":false,"usgs":false,"family":"Poulter","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":722471,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":722468,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70194143,"text":"70194143 - 2018 - Influences of landscape heterogeneity on home-range sizes of brown bears","interactions":[],"lastModifiedDate":"2018-05-20T18:27:17","indexId":"70194143","displayToPublicDate":"2017-11-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2653,"text":"Mammalian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Influences of landscape heterogeneity on home-range sizes of brown bears","docAbstract":"<p><span>Animal space use is influenced by many factors and can affect individual survival and fitness. Under optimal foraging theory, individuals use landscapes to optimize high-quality resources while minimizing the amount of energy used to acquire them. The spatial resource variability hypothesis states that as patchiness of resources increases, individuals use larger areas to obtain the resources necessary to meet energetic requirements. Additionally, under the temporal resource variability hypothesis, seasonal variation in available resources can reduce distances moved while providing a variety of food sources. Our objective was to determine if seasonal home ranges of brown bears&nbsp;(</span><i>Ursus arctos</i><span>) were influenced by temporal availability and spatial distribution of resources and whether individual reproductive status, sex, or size (i.e., body mass) mediated space use. To test our hypotheses, we radio collared brown bears (</span><i>n</i><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>32 [9 male, 23 female]) in 2014–2016 and used 18<span>&nbsp;</span></span><i>a priori</i><span>selected linear models to evaluate seasonal utilization distributions (UD) in relation to our hypotheses. Our top-ranked model by AIC</span><sub>c</sub><span>, supported the spatial resource variability hypothesis and included percentage of like adjacency (PLADJ) of all cover types (P</span><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>0.01), reproductive class (P</span><span>&nbsp;</span><span>&gt;</span><span>&nbsp;</span><span>0.17 for males, solitary females, and females with dependent young), and body mass (kg; P</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>0.66). Based on this model, for every percentage increase in PLADJ, UD area was predicted to increase 1.16 times for all sex and reproductive classes. Our results suggest that landscape heterogeneity influences brown bear space use; however, we found that bears used larger areas when landscape homogeneity increased, presumably to gain a diversity of food resources. Our results did not support the temporal resource variability hypothesis, suggesting that the spatial distribution of food was more important than seasonal availability in relation to brown bear home range size.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.mambio.2017.09.002","usgsCitation":"Mangipane, L.S., Belant, J.L., Hiller, T.L., Colvin, M., Gustine, D., Mangipane, B.A., and Hilderbrand, G., 2018, Influences of landscape heterogeneity on home-range sizes of brown bears: Mammalian Biology, v. 88, p. 1-7, https://doi.org/10.1016/j.mambio.2017.09.002.","productDescription":"7 p.","startPage":"1","endPage":"7","ipdsId":"IP-084597","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":461115,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.mambio.2017.09.002","text":"Publisher Index Page"},{"id":349011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Clark National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.0830078125,\n              59.772991625706695\n            ],\n            [\n              -152.9791259765625,\n              59.772991625706695\n            ],\n            [\n              -152.9791259765625,\n              60.98110228438945\n            ],\n            [\n              -155.0830078125,\n              60.98110228438945\n            ],\n            [\n              -155.0830078125,\n              59.772991625706695\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad7e4b06e28e9c227ae","contributors":{"authors":[{"text":"Mangipane, Lindsey S.","contributorId":200447,"corporation":false,"usgs":false,"family":"Mangipane","given":"Lindsey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":722343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":722344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hiller, Tim L.","contributorId":200448,"corporation":false,"usgs":false,"family":"Hiller","given":"Tim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":171431,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":722346,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":722347,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mangipane, Buck A.","contributorId":200450,"corporation":false,"usgs":false,"family":"Mangipane","given":"Buck","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722348,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hilderbrand, Grant V. 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":199764,"corporation":false,"usgs":true,"family":"Hilderbrand","given":"Grant V.","email":"ghilderbrand@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":722342,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263825,"text":"70263825 - 2018 - A comprehensive analysis of geodetic slip rate estimates and uncertainties in California","interactions":[],"lastModifiedDate":"2025-02-25T15:47:01.183754","indexId":"70263825","displayToPublicDate":"2017-11-14T09:42:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A comprehensive analysis of geodetic slip rate estimates and uncertainties in California","docAbstract":"<p><span>Developing a comprehensive model of tectonic continental deformation requires assessing (1)&nbsp;fault‐slip rates, (2)&nbsp;off‐fault deformation rates, and (3)&nbsp;realistic uncertainties. Fault‐slip rates can be estimated by modeling fault systems, based on space geodetic measurements of active surface ground displacement such as Global Navigation Satellite Systems (GNSS) and Interferometric Synthetic Aperture Radar (InSAR). Geodetic slip‐rate estimates may vary widely due to measurement and epistemic (model) uncertainties, presenting a challenge for both estimating slip rates and accurately characterizing uncertainties: models may vary in the number of faults represented and the precise location of those faults. Since 2003, 33 published geodetic deformation models have produced slip‐rate estimates within California. Variability among these models represents variability among valid model choices and may be considered a proxy for model uncertainties in geodetic slip‐rate estimates. To enable rigorous comparison between geodetic slip‐rate estimates, I combine models on a georeferenced grid and find an average standard deviation on slip rate of&nbsp;</span><span class=\"inline-formula no-formula-id\">∼1.5  mm/yr</span><span>&nbsp;over 542 grid cells (average area of&nbsp;</span><span class=\"inline-formula no-formula-id\">1304  km<sup>2</sup>/cell⁠</span><span>). Furthermore, the average strike‐slip and tensile‐slip rates over all 33 studies, in each grid cell, may then be projected onto Unified California Earthquake Rupture Forecast (UCERF) v.3.1 faults for a single summary model of geodetic slip rates. Slip rates that do not project perfectly onto UCERF3.1 faults form a summary model of off‐modeled‐fault (OMF) deformation. Most of this OMF deformation occurs in grid cells that intersect UCERF3.1 faults, suggesting that off‐fault deformation may be, in part, a product of epistemic uncertainty in geodetic slip‐rate estimates and may be physically accommodated on, or very near, UCERF faults.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170159","usgsCitation":"Evans, E., 2018, A comprehensive analysis of geodetic slip rate estimates and uncertainties in California: Bulletin of the Seismological Society of America, v. 108, no. 1, p. 1-18, https://doi.org/10.1785/0120170159.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-086957","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"108","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Eileen 0000-0002-7290-5269 eevans@usgs.gov","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":167021,"corporation":false,"usgs":true,"family":"Evans","given":"Eileen","email":"eevans@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928556,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194077,"text":"70194077 - 2018 - Modeling the compensatory response of an invasive tree to specialist insect herbivory","interactions":[],"lastModifiedDate":"2018-01-05T14:02:43","indexId":"70194077","displayToPublicDate":"2017-11-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1016,"text":"Biological Control","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the compensatory response of an invasive tree to specialist insect herbivory","docAbstract":"<p>The severity of the effects of herbivory on plant fitness can be moderated by the ability of plants to compensate for biomass loss. Compensation is an important component of the ecological fitness in many plants, and has been shown to reduce the effects of pests on agricultural plant yields. It can also reduce the effectiveness of biocontrol through introduced herbivores in controlling weedy invasive plants. This study used a modeling approach to predict the effect of different levels of foliage herbivory by biological control agents introduced to control the invasive tree <i>Melaleuca quinquennervia</i> (melaleuca) in Florida. It is assumed in the model that melaleuca can optimally change its carbon and nitrogen allocation strategies in order to compensate for the effects of herbivory. The model includes reallocation of more resources to production and maintenance of photosynthetic tissues at the expense of roots. This compensation is shown to buffer the severity of the defoliation effect, but the model predicts a limit on the maximum herbivory that melaleuca can tolerate and survive. The model also shows that the level of available limiting nutrient (e.g., soil nitrogen) may play an important role in a melaleuca’s ability to compensate for herbivory. This study has management implications for the best ways to maximize the level of damage using biological control or other means of defoliation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocontrol.2017.11.002","usgsCitation":"Zhang, B., Liu, X., DeAngelis, D.L., Zhai, L., Rayamajhi, M.B., and Ju, S., 2018, Modeling the compensatory response of an invasive tree to specialist insect herbivory: Biological Control, v. 117, p. 128-136, https://doi.org/10.1016/j.biocontrol.2017.11.002.","productDescription":"9 p.","startPage":"128","endPage":"136","ipdsId":"IP-090151","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469160,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocontrol.2017.11.002","text":"Publisher Index Page"},{"id":348850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"117","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad8e4b06e28e9c227b4","contributors":{"authors":[{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":722070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Xin","contributorId":146527,"corporation":false,"usgs":false,"family":"Liu","given":"Xin","email":"","affiliations":[{"id":16715,"text":"Nanjing Forestry University, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":722071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":722072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhai, Lu","contributorId":147395,"corporation":false,"usgs":false,"family":"Zhai","given":"Lu","affiliations":[{"id":16839,"text":"Department of Biology, University of Miami, Coral Gables, Florida","active":true,"usgs":false}],"preferred":false,"id":722073,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rayamajhi, Min B.","contributorId":191306,"corporation":false,"usgs":false,"family":"Rayamajhi","given":"Min","email":"","middleInitial":"B.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":722074,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ju, Shu","contributorId":200346,"corporation":false,"usgs":false,"family":"Ju","given":"Shu","email":"","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":722075,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193560,"text":"70193560 - 2018 - Predicting intensity of white-tailed deer herbivory in the Central Appalachian Mountains","interactions":[],"lastModifiedDate":"2018-04-02T13:56:58","indexId":"70193560","displayToPublicDate":"2017-11-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2298,"text":"Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Predicting intensity of white-tailed deer herbivory in the Central Appalachian Mountains","docAbstract":"<p><span>In eastern North America, white-tailed deer (</span><i class=\"EmphasisTypeItalic \">Odocoileus virginianus</i><span>) can have profound influences on forest biodiversity and forest successional processes. Moderate to high deer populations in the central Appalachians have resulted in lower forest biodiversity. Legacy effects in some areas persist even following deer population reductions or declines. This has prompted managers to consider deer population management goals in light of policies designed to support conservation of biodiversity and forest regeneration while continuing to support ample recreational hunting opportunities. However, despite known relationships between herbivory intensity and biodiversity impact, little information exists on the predictability of herbivory intensity across the varied and spatially diverse habitat conditions of the central Appalachians. We examined the predictability of browsing rates across central Appalachian landscapes at four environmental scales: vegetative community characteristics, physical environment, habitat configuration, and local human and deer population demographics. In an<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">information</i><span>-</span><i class=\"EmphasisTypeItalic \">theoretic</i><span><span>&nbsp;</span>approach, we found that a model fitting the number of stems browsed relative to local vegetation characteristics received most (62%) of the overall support of all tested models assessing herbivory impact. Our data suggest that deer herbivory responded most predictably to differences in vegetation quantity and type. No other spatial factors or demographic factors consistently affected browsing intensity. Because herbivory, vegetation communities, and productivity vary spatially, we suggest that effective broad-scale herbivory impact assessment should include spatially-balanced vegetation monitoring that accounts for regional differences in deer forage preference. Effective monitoring is necessary to avoid biodiversity impacts and deleterious changes in vegetation community composition that are difficult to reverse and/or may not be detected using traditional deer-density based management goals.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11676-017-0476-6","usgsCitation":"Kniowski, A.B., and Ford, W., 2018, Predicting intensity of white-tailed deer herbivory in the Central Appalachian Mountains: Journal of Forestry Research, v. 29, no. 3, p. 841-850, https://doi.org/10.1007/s11676-017-0476-6.","productDescription":"10 p.","startPage":"841","endPage":"850","ipdsId":"IP-086612","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469161,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99324","text":"External Repository"},{"id":348769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Appalachian Mountains","volume":"29","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"5a60fb13e4b06e28e9c22bd8","contributors":{"authors":[{"text":"Kniowski, Andrew B.","contributorId":191558,"corporation":false,"usgs":false,"family":"Kniowski","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":719363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":719362,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193529,"text":"70193529 - 2018 - The effects of swimming exercise and dissolved oxygen on growth performance, fin condition and precocious maturation of early-rearing Atlantic salmon Salmo salar","interactions":[],"lastModifiedDate":"2018-01-11T16:14:22","indexId":"70193529","displayToPublicDate":"2017-11-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":857,"text":"Aquaculture Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The effects of swimming exercise and dissolved oxygen on growth performance, fin condition and precocious maturation of early-rearing Atlantic salmon <i>Salmo salar</i>","title":"The effects of swimming exercise and dissolved oxygen on growth performance, fin condition and precocious maturation of early-rearing Atlantic salmon Salmo salar","docAbstract":"<p><span>Swimming exercise, typically measured in body-lengths per second (BL/s), and dissolved oxygen (DO), are important environmental variables in fish culture. While there is an obvious physiological association between these two parameters, their interaction has not been adequately studied in Atlantic salmon&nbsp;</span><i>Salmo salar</i><span>. Because exercise and DO are variables that can be easily manipulated in modern aquaculture systems, we sought to assess the impact of these parameters, alone and in combination, on the performance, health and welfare of juvenile Atlantic salmon. In our study, Atlantic salmon fry were stocked into 12 circular 0.5&nbsp;m</span><sup>3</sup><span><span>&nbsp;</span>tanks in a flow-through system and exposed to either high (1.5–2 BL/s) or low (&lt;0.5 BL/s) swimming speeding and high (100% saturation) or low (70% saturation) DO while being raised from 10&nbsp;g to approximately 350&nbsp;g in weight. Throughout the study period, we assessed the impacts of exercise and DO concentration on growth, feed conversion, survival and fin condition. By study's end, both increased swimming speed and higher DO were independently associated with a statistically significant increase in growth performance (</span><i>p</i><span>&nbsp;&lt;&nbsp;.05); however, no significant differences were noted in survival and feed conversion. Caudal fin damage was associated with low DO, while right pectoral fin damage was associated with higher swimming speed. Finally, precocious male sexual maturation was associated with low swimming speed. These results suggest that providing exercise and dissolved oxygen at saturation during Atlantic salmon early rearing can result in improved growth performance and a lower incidence of precocious parr.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/are.13511","usgsCitation":"Waldrop, T., Summerfelt, S.T., Mazik, P.M., and Good, C., 2018, The effects of swimming exercise and dissolved oxygen on growth performance, fin condition and precocious maturation of early-rearing Atlantic salmon Salmo salar: Aquaculture Research, v. 49, no. 2, p. 801-808, https://doi.org/10.1111/are.13511.","productDescription":"8 p.","startPage":"801","endPage":"808","ipdsId":"IP-084451","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/are.13511","text":"Publisher Index Page"},{"id":348841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","scienceBaseUri":"5a60fad8e4b06e28e9c227bb","contributors":{"authors":[{"text":"Waldrop, Thomas","contributorId":56977,"corporation":false,"usgs":true,"family":"Waldrop","given":"Thomas","affiliations":[],"preferred":false,"id":722051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Summerfelt, Steven T.","contributorId":192709,"corporation":false,"usgs":false,"family":"Summerfelt","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":722052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Good, Christopher","contributorId":200359,"corporation":false,"usgs":false,"family":"Good","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":722053,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193538,"text":"70193538 - 2018 - Understanding the basis of shortnose sturgeon (Acipenser brevirostrum) partial migration in the Gulf of Maine","interactions":[],"lastModifiedDate":"2018-02-22T12:44:59","indexId":"70193538","displayToPublicDate":"2017-11-14T00:00:00","publicationYear":"2018","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}},"displayTitle":"Understanding the basis of shortnose sturgeon (<i>Acipenser brevirostrum</i>) partial migration in the Gulf of Maine","title":"Understanding the basis of shortnose sturgeon (Acipenser brevirostrum) partial migration in the Gulf of Maine","docAbstract":"<p><span>Movement of shortnose sturgeon (</span><i>Acipenser brevirostrum</i><span>) among major river systems in the Gulf of Maine is common and has implications for the management of this endangered species. Directed movements of 61 telemetered individuals monitored between 2010 and 2013 were associated with the river of tagging and individual characteristics. While a small proportion of fish tagged in the Kennebec River moved to the Penobscot River (5%), a much higher proportion of fish tagged in the Penobscot River moved to the Kennebec River (66%), during probable spawning windows. This suggests that Penobscot River fish derive from a migratory contingent within a larger Kennebec River population. Despite this connectivity, fish captured in the Penobscot River were larger (∼100 mm fork length) and had higher condition factors (median Fulton’s<span>&nbsp;</span></span><i>K</i><span>: 0.76) than those captured in the Kennebec River (median Fulton’s<span>&nbsp;</span></span><i>K</i><span>: 0.61). Increased abundance and resource limitation in the Kennebec River may be constraining growth and promoting migration to the Penobscot River by individuals with sufficient initial size and condition. Migrants could experience an adaptive reproductive advantage relative to nonmigratory individuals.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2017-0083","usgsCitation":"Altenritter, M.E., Zydlewski, G., Kinnison, M.T., Zydlewski, J.D., and Wippelhauser, G.S., 2018, Understanding the basis of shortnose sturgeon (Acipenser brevirostrum) partial migration in the Gulf of Maine: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 3, p. 464-473, https://doi.org/10.1139/cjfas-2017-0083.","productDescription":"10 p.","startPage":"464","endPage":"473","ipdsId":"IP-079298","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":501025,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/79758","text":"External Repository"},{"id":348835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Gulf of Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70,\n              43.75\n            ],\n            [\n              -68.5,\n              43.75\n            ],\n            [\n              -68.5,\n              45\n            ],\n            [\n              -70,\n              45\n            ],\n            [\n              -70,\n              43.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb13e4b06e28e9c22be2","contributors":{"authors":[{"text":"Altenritter, Matthew E.","contributorId":179378,"corporation":false,"usgs":false,"family":"Altenritter","given":"Matthew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Gayle B.","contributorId":139211,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle B.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":722040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":722041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"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":719307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wippelhauser, Gail S.","contributorId":169680,"corporation":false,"usgs":false,"family":"Wippelhauser","given":"Gail","email":"","middleInitial":"S.","affiliations":[{"id":25571,"text":"Maine Department of Marine Resources, Augusta, ME","active":true,"usgs":false}],"preferred":false,"id":722042,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193562,"text":"70193562 - 2018 - Explicit versus implicit motivations: Clarifying how experiences affect turkey hunter satisfaction using revised importance-performance, importance grid, and penalty-reward-contrast analyses","interactions":[],"lastModifiedDate":"2018-01-24T15:42:38","indexId":"70193562","displayToPublicDate":"2017-11-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Explicit versus implicit motivations: Clarifying how experiences affect turkey hunter satisfaction using revised importance-performance, importance grid, and penalty-reward-contrast analyses","docAbstract":"<p><span>Although research has advanced methods for clarifying factors that relate to customer satisfaction, they have not been embraced by leisure researchers. Using results from a survey of wild turkey hunters, we applied traditional and revised importance-performance (IPA/RIPA), importance-grid analysis (IGA), and penalty-reward-contrast analysis (PRCA) to examine how activity-specific factors influenced satisfaction. Results suggested differences between the explicit and implicit importance of factors related to turkey hunting. Opportunities to kill turkeys were explicitly rated as less important than seeing, hearing, or calling in turkeys, but opportunities for harvest had relatively higher levels of implicit importance. PRCA identified “calling turkeys in” and “hearing gobbling” as minimum requirements that cause dissatisfaction if not fulfilled, but do not provide satisfaction, whereas “seeing turkeys” and an “opportunity to kill a turkey” related to both satisfaction and dissatisfaction. RIPA, IGA, and PRCA could provide valuable insights about factors that may improve satisfaction for leisure participants.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2018.1385112","usgsCitation":"Schroeder, S., Cornicelli, L., Fulton, D.C., and Merchant, S., 2018, Explicit versus implicit motivations: Clarifying how experiences affect turkey hunter satisfaction using revised importance-performance, importance grid, and penalty-reward-contrast analyses: Human Dimensions of Wildlife, v. 23, no. 1, p. 1-20, https://doi.org/10.1080/10871209.2018.1385112.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-083736","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-25","publicationStatus":"PW","scienceBaseUri":"5a60fb14e4b06e28e9c22c03","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":721934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornicelli, Louis","contributorId":168400,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":721935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merchant, Steven S.","contributorId":199552,"corporation":false,"usgs":false,"family":"Merchant","given":"Steven S.","affiliations":[],"preferred":false,"id":721936,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}