{"pageNumber":"85","pageRowStart":"2100","pageSize":"25","recordCount":10956,"records":[{"id":70199561,"text":"70199561 - 2018 - Strike-slip 23 January 2018 MW 7.9 Gulf of Alaska rare intraplate earthquake: Complex rupture of a fracture zone system","interactions":[],"lastModifiedDate":"2019-12-30T11:01:12","indexId":"70199561","displayToPublicDate":"2018-09-12T12:32:30","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Strike-slip 23 January 2018 MW 7.9 Gulf of Alaska rare intraplate earthquake: Complex rupture of a fracture zone system","docAbstract":"<p><span>Large intraplate earthquakes in oceanic lithosphere are rare and usually related to regions of diffuse deformation within the oceanic plate. The 23 January 2018 M</span><sub>W</sub><span>&nbsp;7.9 strike-slip Gulf of Alaska earthquake ruptured an oceanic fracture zone system offshore Kodiak Island. Bathymetric compilations show a muted topographic expression of the fracture zone due to the thick sediment that covers oceanic basement but the fracture zone system can be identified by offset N-S magnetic anomalies and E-W linear zones in the vertical gravity gradient. Back-projection from global seismic stations reveals that the initial rupture at first propagated from the epicenter to the north, likely rupturing along a weak zone parallel to the ocean crustal fabric. The rupture then changed direction to eastward directed with most energy emitted on Aka fracture zone resulting in an unusual multi-fault earthquake. Similarly, the aftershocks show complex behavior and are related to two different tectonic structures: (1) events along N-S trending oceanic fabric, which ruptured mainly strike-slip and additionally, in normal and oblique slip mechanisms and (2) strike-slip events along E-W oriented fracture zones. To explain the complex faulting behavior we adopt the classical stress and strain partitioning concept and propose a generalized model for large intra-oceanic strike-slip earthquakes of trench-oblique oriented fracture zones/ocean plate fabric near subduction zones. Taking the Kodiak asperity position of 1964 maximum afterslip and outer-rise Coulomb stress distribution into account, we propose that the unusual 2018 Gulf of Alaska moment release was stress transferred to the incoming oceanic plate from co- and post-processes of the nearby great 1964 M</span><sub>W</sub><span>&nbsp;9.2 megathrust earthquake.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-018-32071-4","usgsCitation":"Krabbenhoeft, A., von Huene, R., Miller, J., Lange, D., and Vera, F., 2018, Strike-slip 23 January 2018 MW 7.9 Gulf of Alaska rare intraplate earthquake: Complex rupture of a fracture zone system: Scientific Reports, v. 8, p. 1-9, https://doi.org/10.1038/s41598-018-32071-4.","productDescription":"13706; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-096067","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":468409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-32071-4","text":"Publisher Index Page"},{"id":357618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.68554687499997,\n              55.25407706707272\n            ],\n            [\n              -144.3603515625,\n              52.1874047455997\n            ],\n            [\n              -130.6494140625,\n              52.26815737376817\n            ],\n            [\n              -130.6494140625,\n              54.6992335284814\n            ],\n            [\n              -134.38476562499997,\n              59.108308258604964\n            ],\n            [\n              -139.6142578125,\n              60.65164736580915\n            ],\n            [\n              -148.1396484375,\n              61.543641475549954\n            ],\n            [\n              -152.3583984375,\n              60.823494332539646\n            ],\n            [\n              -162.68554687499997,\n              55.25407706707272\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-12","publicationStatus":"PW","scienceBaseUri":"5bc02fa1e4b0fc368eb5392f","contributors":{"authors":[{"text":"Krabbenhoeft, Anne","contributorId":208084,"corporation":false,"usgs":false,"family":"Krabbenhoeft","given":"Anne","email":"","affiliations":[{"id":37708,"text":"GEOMAR Helmholtz Center for Ocean Research Kiel, Wischhofstr. 1-3, 24148 Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":745851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Huene, Roland 0000-0003-1301-3866","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":208085,"corporation":false,"usgs":false,"family":"von Huene","given":"Roland","affiliations":[{"id":37709,"text":"USGS, emeritus, 800 Blossom Hill Road, Los Gatos, CA","active":true,"usgs":false}],"preferred":false,"id":745852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, John J. 0000-0002-9098-0967","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":208083,"corporation":false,"usgs":true,"family":"Miller","given":"John J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":745850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lange, Dietrich","contributorId":208086,"corporation":false,"usgs":false,"family":"Lange","given":"Dietrich","email":"","affiliations":[{"id":37708,"text":"GEOMAR Helmholtz Center for Ocean Research Kiel, Wischhofstr. 1-3, 24148 Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":745853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vera, Felipe","contributorId":208087,"corporation":false,"usgs":false,"family":"Vera","given":"Felipe","email":"","affiliations":[{"id":37710,"text":"Helmholtz-Zentrum Potsdam, Deutsches GeoForschungsZentrum GFZ, Telegrafenberg 1, 14473, Potsdam, Germany and Freie Universität Berlin, Malteserstr. 74−100, 12249, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":745854,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198099,"text":"ofr20181111 - 2018 - Additional period and site class maps for the 2014 National Seismic Hazard Model for the conterminous United States","interactions":[],"lastModifiedDate":"2018-09-12T10:12:11","indexId":"ofr20181111","displayToPublicDate":"2018-09-11T17:00:00","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":"2018-1111","title":"Additional period and site class maps for the 2014 National Seismic Hazard Model for the conterminous United States","docAbstract":"<p>The 2014 update of the U.S. Geological Survey (USGS) National Seismic Hazard Model (NSHM) for the conterminous&nbsp;United States (2014 NSHM; Petersen and others, 2014, 2015) included probabilistic ground motion maps for 2 percent and&nbsp;10 percent probabilities of exceedance in 50 years, derived from seismic hazard curves for peak ground acceleration (PGA) and&nbsp;0.2 and 1.0 second spectral accelerations (SAs) with 5 percent damping for the National Earthquake Hazards Reduction Program&nbsp;(NEHRP) site class boundary B/C (time-averaged shear wave velocity in the upper 30 meters [V<sub>S30</sub>]=760 meters per second&nbsp;[m/s]). We now provide uniform NEHRP site class maps for 2, 5, and 10 percent probabilities of exceedance in 50 years derived&nbsp;from hazard curves for additional spectral periods. For the central and eastern United States (CEUS) and western United States&nbsp;(WUS), hazard curves and maps for PGA, 0.1, 0.2, 0.3, 0.5, 1.0, and 2.0 second SAs are now available. The WUS additionally&nbsp;includes hazard curves and maps for 0.75, 3.0, 4.0, and 5.0 second SAs. The use of region-specific suites of weighted ground&nbsp;motion models (GMMs) in the 2014 NSHM precluded the calculation of ground motions for a uniform set of periods and site&nbsp;classes for the conterminous United States. At the time of the development of the 2014 NSHM, there was no consensus in the&nbsp;CEUS on an appropriate site-amplification model to use; therefore, we calculated hazard curves and maps for NEHRP site class A,&nbsp;for which most stable continental GMMs were originally developed, based on simulations for hard rock site conditions (V<sub>S30</sub>=2,000 m/s).&nbsp;In the WUS, however, the active crustal Next Generation Attenuation Relationships for the WUS (NGA-West2 GMMs) and&nbsp;subduction GMMs allow amplification of ground motions based on site class (defined by V<sub>S30</sub>); so we calculated hazard curves&nbsp;and maps for NEHRP site classes B (V<sub>S30</sub>=1,080 m/s), C (V<sub>S30</sub>=530 m/s), D (V<sub>S30</sub>=260 m/s), and E (V<sub>S30</sub>=150 m/s) and site class&nbsp;boundaries A/B (V<sub>S30</sub>=1,500 m/s), B/C (V<sub>S30</sub>=760 m/s), C/D (V<sub>S30</sub>=365 m/s), and D/E (V<sub>S30</sub>=185 m/s). The 2014 NSHM introduced&nbsp;a set of criteria for selecting GMMs for use in the NSHMs. When calculating additional period and site class maps, we verified&nbsp;whether the 2014 NSHM original suites of GMMs satisfied these ground motion selection criteria at all additional periods and&nbsp;site classes using GMM magnitude-distance scaling relation plots. Results of our analysis show that certain GMMs give unrealistic&nbsp;results at longer periods, distances, and softer soils in the WUS. In these rare instances, the GMM was removed from the original&nbsp;suite of GMMs (for all periods and site classes) and the weights of the remaining GMMs in the suite were renormalized. Ratio&nbsp;maps show these updated suites of weighted GMMs result in probabilistic ground motion changes of less than 10 percent in&nbsp;the WUS at PGA, as well as 0.2 and 1.0 second SAs, except in the Pacific Northwest, where differences as much as 20 percent&nbsp;are seen. Hazard curves and uniform hazard response spectra at test sites across the conterminous United States were produced to&nbsp;verify that results were reasonable. The additional period and site class maps, and the hazard curves from which they were derived,&nbsp;are available for download from the USGS ScienceBase Catalog.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181111","usgsCitation":"Shumway, A.M., Petersen, M.D., Powers, P.M., and Rezaeian, S., 2018, Additional period and site class maps for the 2014 National Seismic Hazard Model for the conterminous United States: U.S. Geological Survey Open-File Report 2018–1111, 46 p., https://doi.org/10.3133/ofr20181111.","productDescription":"Report: v, 46 p.; Data release","onlineOnly":"Y","ipdsId":"IP-098308","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":357217,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9I6BPX5","text":"USGS data release","linkHelpText":"Data Release for Additional Period and Site Class Maps for the 2014 National 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 \"}}]}\n\n\n","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geohazards/\" data-mce-href=\"https://www.usgs.gov/centers/geohazards/\">Geologic Hazards Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS 966<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Additional Period and Site Class Maps for the 2014 National Seismic Hazard Model for the Conterminous United States</li><li>Results</li><li>Future Updates of the National Seismic Hazard Model for the Conterminous United States</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Maps and Data Available for the 2014 National Seismic Hazard Model for the Conterminous United States</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-09-11","noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","scienceBaseUri":"5b98a25ee4b0702d0e842e3c","contributors":{"authors":[{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":740018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":740019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":740020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":740021,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199206,"text":"70199206 - 2018 - Prioritizing conserved areas threatened by wildfire and fragmentation for monitoring and management","interactions":[],"lastModifiedDate":"2018-09-10T12:35:28","indexId":"70199206","displayToPublicDate":"2018-09-10T12:35:21","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing conserved areas threatened by wildfire and fragmentation for monitoring and management","docAbstract":"<p><span>In many parts of the world, the combined effects of habitat fragmentation and altered disturbance regimes pose a significant threat to biodiversity. This is particularly true in Mediterranean-type ecosystems (MTEs), which tend to be fire-prone, species rich, and heavily impacted by human land use. Given the spatial complexity of overlapping threats and species’ vulnerability along with limited conservation budgets, methods are needed for prioritizing areas for monitoring and management in these regions. We developed a multi-criteria Pareto ranking methodology for prioritizing spatial units for conservation and applied it to fire threat, habitat fragmentation threat, species richness, and genetic biodiversity criteria in San Diego County, California, USA. We summarized the criteria and Pareto ranking results (from west to east) within the maritime, coastal, transitional, inland climate zones within San Diego County. Fire threat increased from the maritime zone eastward to the transitional zone, then decreased in the mountainous inland climate zone. Number of fires and fire return interval departure were strongly negatively correlated. Fragmentation threats, particularly road density and development density, were highest in the maritime climate zone, declined towards the east, and were positively correlated. Species richness criteria showed distributions among climate zones similar to those of the fire threat variables. When using species richness and fire threat criteria, most lower-ranked (higher conservation priority) units occurred in the coastal and transitional zones. When considering genetic biodiversity, lower-ranked units occurred more often in the mountainous inland zone. With Pareto ranking, there is no need to select criteria weights as part of the decision-making process. However, negative correlations and larger numbers of criteria can result in more units assigned to the same rank. Pareto ranking is broadly applicable and can be used as a standalone decision analysis method or in conjunction with other methods.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0200203","usgsCitation":"Tracey, J.A., Rochester, C.J., Hathaway, S.A., Preston, K.L., Syphard, A.D., Vandergast, A.G., Diffendorfer, J., Franklin, J., MacKenzie, J.B., Oberbauer, T.A., Tremor, S., Winchell, C.S., and Fisher, R.N., 2018, Prioritizing conserved areas threatened by wildfire and fragmentation for monitoring and management: PLoS ONE, v. 13, no. 9, p. 1-23, https://doi.org/10.1371/journal.pone.0200203.","productDescription":"e0200203; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-095520","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468418,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0200203","text":"Publisher Index Page"},{"id":437759,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95LH274","text":"USGS data release","linkHelpText":"Raster data files for Prioritizing conserved areas threatened by wildfire for monitoring and management."},{"id":437758,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95LH274","text":"USGS data release","linkHelpText":"Raster data files for Prioritizing conserved areas threatened by wildfire for monitoring and management."},{"id":357200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"221\",\"properties\":{\"name\":\"San 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D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":744663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744664,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744665,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Franklin, Janet","contributorId":197972,"corporation":false,"usgs":false,"family":"Franklin","given":"Janet","email":"","affiliations":[],"preferred":false,"id":744666,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"MacKenzie, Jason B.","contributorId":207766,"corporation":false,"usgs":false,"family":"MacKenzie","given":"Jason","email":"","middleInitial":"B.","affiliations":[{"id":37629,"text":"Environment and Planning Directorate, ACT Government, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":744667,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Oberbauer, Tomas A.","contributorId":207767,"corporation":false,"usgs":false,"family":"Oberbauer","given":"Tomas","email":"","middleInitial":"A.","affiliations":[{"id":37630,"text":"Department of Planning and Land Use, County of San Diego, California","active":true,"usgs":false}],"preferred":false,"id":744668,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tremor, Scott","contributorId":207768,"corporation":false,"usgs":false,"family":"Tremor","given":"Scott","email":"","affiliations":[{"id":37631,"text":"San Diego Natural History Museum, San Diego, California","active":true,"usgs":false}],"preferred":false,"id":744669,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Winchell, Clark S.","contributorId":207769,"corporation":false,"usgs":false,"family":"Winchell","given":"Clark","email":"","middleInitial":"S.","affiliations":[{"id":37632,"text":"USFWS -- Carlsbad FWO","active":true,"usgs":false}],"preferred":false,"id":744670,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744658,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70201057,"text":"70201057 - 2018 - Drought and land-cover conditions in the Great Plains","interactions":[],"lastModifiedDate":"2018-11-27T10:14:50","indexId":"70201057","displayToPublicDate":"2018-09-07T10:14:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Drought and land-cover conditions in the Great Plains","docAbstract":"<p><span>Land–atmosphere interactions play a critical role in the Earth system, and a better understanding of these interactions could improve weather and climate models. The interaction among drought, vegetation productivity, and land cover is of particular significance. In a semiarid environment, such as the U.S. Great Plains, droughts can have a large influence on the productivity of agriculture and grasslands, with serious environmental and economic impacts. Here, we used the vegetation drought response index (VegDRI) drought indicator to investigate the response of vegetation to weather and climate for land-cover types in the Great Plains in the United States from 1989 to 2012. We found that analysis that focused on land-cover types within ecoregion divisions provided substantially more and land-cover-based detail on the timing and intensity of drought than did summarizing across the entire Great Plains region. In the northern Great Plains, VegDRI measured more frequent drought impacts on vegetation in the western ecoregions than in the eastern ecoregions. Across the ecoregions of the Great Plains, drought impacts on vegetation were more commonly found in grassland than in cropland. For example, in the “Northwestern Great Plains” ecoregion (which encompasses areas of Montana, Wyoming, North Dakota, South Dakota, and Nebraska), grassland and nonirrigated cropland were observed in VegDRI to have historical fractional drought coverages in the growing season of 17% and 11%, respectively.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/EI-D-17-0025.1","usgsCitation":"Tollerud, H.J., Brown, J.F., Loveland, T., Mahmood, R., and Bliss, N.B., 2018, Drought and land-cover conditions in the Great Plains: Earth Interactions, v. 22, p. 1-25, https://doi.org/10.1175/EI-D-17-0025.1.","productDescription":"Paper no. 17; 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-096098","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-17-0025.1","text":"Publisher Index Page"},{"id":359700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-102.04224,36.993083],[-102.051614,41.002377],[-111.046723,40.997959],[-111.049216,44.435811],[-111.366723,44.738361],[-111.480393,44.70919],[-111.469185,44.552044],[-112.258665,44.569516],[-112.387389,44.448058],[-112.749011,44.491233],[-112.844859,44.358221],[-113.134824,44.752763],[-113.455071,44.865424],[-113.802955,45.592631],[-114.015633,45.696127],[-114.345019,45.459916],[-114.559038,45.565706],[-114.422963,45.855381],[-114.527096,46.146218],[-114.322912,46.642938],[-114.76689,46.696901],[-115.294785,47.220914],[-115.731348,47.433381],[-115.72377,47.696671],[-116.049153,47.999923],[-116.049193,49.000912],[-97.229039,49.000687],[-97.116185,48.709348],[-97.145243,48.174046],[-96.854812,47.606328],[-96.774763,46.607461],[-96.557952,46.102442],[-96.612512,45.794442],[-96.82616,45.654164],[-96.452315,45.208986],[-96.453049,43.500415],[-96.591213,43.500514],[-96.439335,43.113916],[-96.630311,42.770885],[-96.396107,42.484095],[-96.272901,42.047281],[-96.129186,41.965136],[-96.081843,41.580407],[-95.850188,41.184798],[-95.885349,40.721093],[-95.41932,40.048442],[-94.916918,39.836138],[-95.113077,39.559133],[-94.615834,39.160003],[-94.617919,36.499414],[-94.431822,35.397652],[-94.485528,33.663388],[-94.386086,33.544923],[-94.070395,33.574561],[-94.0427,32.056012],[-93.523248,31.037842],[-93.765822,30.333318],[-93.702436,30.112721],[-93.922744,29.818808],[-93.852868,29.675885],[-94.731047,29.369141],[-94.532348,29.5178],[-94.767246,29.525523],[-94.724616,29.774766],[-94.965963,29.70033],[-94.894234,29.338],[-95.16525,29.113566],[-94.73132,29.338066],[-94.803695,29.279237],[-96.341617,28.417334],[-95.983106,28.641942],[-96.221784,28.580364],[-96.287942,28.683164],[-96.473694,28.57324],[-96.664534,28.696904],[-96.481836,28.407844],[-96.790235,28.383926],[-96.898123,28.152881],[-97.21535,28.076575],[-97.040618,28.028708],[-97.183455,27.833231],[-97.354614,27.849572],[-97.296598,27.613947],[-97.399398,27.344735],[-97.640111,27.270943],[-97.485149,27.250841],[-97.552325,26.867633],[-97.145567,25.971132],[-97.36542,25.849826],[-99.110855,26.426278],[-99.452316,27.062669],[-99.556812,27.614336],[-99.841708,27.766464],[-100.280518,28.267969],[-100.785521,29.228137],[-101.441059,29.753451],[-102.341033,29.869305],[-102.698347,29.695591],[-103.107811,29.013812],[-103.427754,29.042334],[-104.46652,29.609296],[-104.924796,30.604832],[-106.602045,31.844405],[-106.599096,32.000731],[-103.088698,32.000453],[-103.002199,37.000104],[-102.04224,36.993083]]],[[[-97.240849,26.411504],[-97.383531,26.875521],[-97.366771,27.333276],[-96.946988,28.026522],[-96.403206,28.371475],[-96.929053,27.99044],[-97.276091,27.472145],[-97.370731,26.909706],[-97.161471,26.088705],[-97.240849,26.411504]]]]},\"properties\":{\"name\":\"Kansas\",\"nation\":\"USA  \"}}]}","volume":"22","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-17","publicationStatus":"PW","scienceBaseUri":"5bfe65e2e4b0815414ca60f8","contributors":{"authors":[{"text":"Tollerud, Heather J. 0000-0001-9507-4456","orcid":"https://orcid.org/0000-0001-9507-4456","contributorId":210820,"corporation":false,"usgs":true,"family":"Tollerud","given":"Heather","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":752112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":752113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loveland, Thomas 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":202518,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":752114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahmood, Rezaul","contributorId":210821,"corporation":false,"usgs":false,"family":"Mahmood","given":"Rezaul","email":"","affiliations":[{"id":38153,"text":"Department of Geography and Geology and Kentucky Climate Center","active":true,"usgs":false}],"preferred":false,"id":752115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bliss, Norman B. 0000-0003-2409-5211 bliss@usgs.gov","orcid":"https://orcid.org/0000-0003-2409-5211","contributorId":1921,"corporation":false,"usgs":true,"family":"Bliss","given":"Norman","email":"bliss@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":752116,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208991,"text":"70208991 - 2018 - A 42 year inference of cloud base height trends in the Luquillo Mountains of northeastern Puerto Rico","interactions":[],"lastModifiedDate":"2020-03-10T14:23:52","indexId":"70208991","displayToPublicDate":"2018-09-05T14:21:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1249,"text":"Climate Research","active":true,"publicationSubtype":{"id":10}},"title":"A 42 year inference of cloud base height trends in the Luquillo Mountains of northeastern Puerto Rico","docAbstract":"The Luquillo Mountains of eastern Puerto Rico are home to the only tropical rainforest\nmanaged by the United States Forest Service, with cloud-immersed forests historically occupying the highest elevations. However, within the past 50 yr, studies of the Luquillo cloud forest have suggested an increase in cloud base heights (CBH), although the CBH in the area was not quantified until recently. The present work uses radiosonde observations from nearby San Juan, Puerto Rico, to contextualize the present-day CBH within a 42 yr (1975−2016) proxy record and determine evidence for rising cloud base. Two key questions are addressed: (1) Can theoretical CBH calculations from San Juan provide a reasonable proxy for CBHs in the Luquillo Mountains? (2) Does a significant trend accompany the CBH lifting inferred from recent work in the region? The mean-layer lifted condensation level (MLLCL), a thermodynamic parameter expressing the altitude at which a rising air parcel reaches 100% relative humidity, serves as the proxy. The 42 yr MLLCL time series corroborates both the low CBHs claimed in the 1980s and the higher CBHs documented by recent work. When considering all available radiosonde data, statistically significant increasing CBH trends are detected for all seasons. However, when the record is standardized to correct for progressive vertical resolution improvements to radiosonde observations, recent CBH increases are more modest than initially indicated, and statistically significant increases are only apparent in the late rainfall season.","language":"English","publisher":"Inter-Research Science Center","doi":"10.3354/cr01529","usgsCitation":"Miller, P.W., Mote, T.L., Ramseyer, C., Van Beusekom, A.E., Scholl, M.A., and Gonzalez, G., 2018, A 42 year inference of cloud base height trends in the Luquillo Mountains of northeastern Puerto Rico: Climate Research, v. 76, no. 1, p. 87-94, https://doi.org/10.3354/cr01529.","productDescription":"8 p.","startPage":"87","endPage":"94","ipdsId":"IP-094568","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":373074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Grizelle","contributorId":194872,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Grizelle","affiliations":[],"preferred":false,"id":784440,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263423,"text":"70263423 - 2018 - Social–ecological landscape patterns predict woody encroachment from native tree plantings in a temperate grassland","interactions":[],"lastModifiedDate":"2025-02-11T15:31:56.916264","indexId":"70263423","displayToPublicDate":"2018-09-05T09:29:22","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Social–ecological landscape patterns predict woody encroachment from native tree plantings in a temperate grassland","docAbstract":"<p><span>Afforestation is often viewed as the purposeful planting of trees in historically nonforested grasslands, but an unintended consequence is woody encroachment, which should be considered part of the afforestation process. In North America's temperate grassland biome, Eastern redcedar (</span><i>Juniperus virginiana</i><span>&nbsp;L.) is a native species used in tree plantings that aggressively invades in the absence of controlling processes. Cedar is a well-studied woody encroacher, but little is known about the degree to which cedar windbreaks, which are advocated for in agroforestry programs, are contributing to woody encroachment, what factors are associated with cedar spread from windbreaks, nor where encroachment from windbreaks is occurring in contemporary social–ecological landscapes. We used remotely sensed imagery to identify the presence and pattern of woody encroachment from windbreaks in the Nebraska Sandhills. We used multimodel inference to compare three classes of models representing three hypotheses about factors that could influence cedar spread: (a) windbreak models based on windbreak structure and design elements; (b) abiotic models focused on local environmental conditions; and (c) landscape models characterizing coupled human-natural features within the broader matrix. Woody encroachment was evident for 23% of sampled windbreaks in the Nebraska Sandhills. Of our candidate models, our inclusive landscape model carried 92% of the model weight. This model indicated that encroachment from windbreaks was more likely near roadways and less likely near farmsteads, other cedar plantings, and waterbodies, highlighting strong social ties to the distribution of woody encroachment from tree plantings across contemporary landscapes. Our model findings indicate where additional investments into cedar control can be prioritized to prevent cedar spread from windbreaks. This approach can serve as a model in other temperate regions to identify where woody encroachment resulting from temperate agroforestry programs is emerging.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4340","usgsCitation":"Donvan, V., Burnett, J., Bielski, C., Birge, H., Bevans, R., Twidwell, D., and Allen, C.R., 2018, Social–ecological landscape patterns predict woody encroachment from native tree plantings in a temperate grassland: Ecology and Evolution, v. 8, no. 19, p. 9624-9632, https://doi.org/10.1002/ece3.4340.","productDescription":"9 p.","startPage":"9624","endPage":"9632","ipdsId":"IP-099576","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4340","text":"Publisher Index Page"},{"id":481931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.80956986796139,\n              42.910635718325125\n            ],\n            [\n              -102.80956986796139,\n              41.083881420357784\n            ],\n            [\n              -97.90830588361806,\n              41.083881420357784\n            ],\n            [\n              -97.90830588361806,\n              42.910635718325125\n            ],\n            [\n              -102.80956986796139,\n              42.910635718325125\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"19","noUsgsAuthors":false,"publicationDate":"2018-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Donvan, V.M.","contributorId":350764,"corporation":false,"usgs":false,"family":"Donvan","given":"V.M.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":926948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burnett, J.L.","contributorId":189790,"corporation":false,"usgs":false,"family":"Burnett","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":926949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bielski, C.H.","contributorId":273150,"corporation":false,"usgs":false,"family":"Bielski","given":"C.H.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":926950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birge, H.E.","contributorId":350765,"corporation":false,"usgs":false,"family":"Birge","given":"H.E.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":926951,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bevans, R.","contributorId":350766,"corporation":false,"usgs":false,"family":"Bevans","given":"R.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":926952,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Twidwell, D.","contributorId":244285,"corporation":false,"usgs":false,"family":"Twidwell","given":"D.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":926953,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":926954,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208338,"text":"70208338 - 2018 - Aerial surveys of sea otters (Enhydra lutris) in Lower Cook Inlet, Alaska, May, 2017","interactions":[],"lastModifiedDate":"2020-02-05T07:00:42","indexId":"70208338","displayToPublicDate":"2018-09-05T06:58:12","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Aerial surveys of sea otters (Enhydra lutris) in Lower Cook Inlet, Alaska, May, 2017","docAbstract":"Portions of two stocks of northern sea otters (Enhydra lutris kenyoni) occur in Lower Cook Inlet (LCI), Alaska.  Sea otters on the west side of LCI are considered part of the southwest Alaska stock; sea otters occupying eastern LCI are considered part of the southcentral Alaska stock.  Information concerning the distributions and abundance of sea otters in LCI is needed to track the status and trends of these populations and address management concerns associated with oil and gas exploration and coastal development in the region.  In May 2017, we conducted a series of replicate aerial surveys of sea otters across LCI following the methods of Bodkin and Udevitz (1999).  Our abundance estimate for western LCI (southwest Alaska stock) was 10,737 (SE = 2,323) sea otters.  Sea otters were not uniformly distributed across western LCI.  The highest sea otter densities (up to 8 sea otter/km2) occurred within Kamishak Bay to the west and north of Augustine Island.  Sea otter densities were relatively low north of Kamishak Bay.  The total abundance estimate for eastern LCI (part of the southcentral Alaska stock) was 9,152 (SE = 1,020) sea otters.  The highest densities of sea otters in eastern LCI were found along the north shore of Kachemak Bay and in Port Graham.  We also found large numbers of sea otters along the eastern shore of LCI between Anchor Point and Clam Gulch.  We recommend conducting a sea otter distribution survey in September, prior to the appearance of sea ice, and again during winter to examine potential seasonal shifts in sea otter distributions in LCI.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"USFWS Technical Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Fish and Wildllife Service","usgsCitation":"Gerlach-Miller, J., Esslinger, G.G., and Weitzman, B., 2018, Aerial surveys of sea otters (Enhydra lutris) in Lower Cook Inlet, Alaska, May, 2017, ii, 22 p.","productDescription":"ii, 22 p.","ipdsId":"IP-100590","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":372052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372021,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/r7/fisheries/mmm/seaotters/reports.htm"}],"country":"United States","state":"Alaska","otherGeospatial":"Lower Cook Inlet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153.69873046875,\n              58.859223547066584\n            ],\n            [\n              -151.083984375,\n              59.712097173322924\n            ],\n            [\n              -150.82031249999997,\n              60.68393876805448\n            ],\n            [\n              -149.87548828125,\n              60.74842446462361\n            ],\n            [\n              -148.53515625,\n              60.855613316239335\n            ],\n            [\n              -149.61181640625,\n              61.227957176677876\n            ],\n            [\n              -148.99658203125,\n              61.51221638411366\n            ],\n            [\n              -150.09521484375,\n              61.48075950007598\n            ],\n            [\n              -151.06201171875,\n              61.41775026352097\n            ],\n            [\n              -152.4462890625,\n              60.973107109199404\n            ],\n            [\n              -154.16015625,\n              59.92199002450385\n            ],\n            [\n              -154.44580078125,\n              59.4115481664237\n            ],\n            [\n              -154.48974609375,\n              58.91599192355906\n            ],\n            [\n              -153.69873046875,\n              58.859223547066584\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gerlach-Miller, Joel","contributorId":222186,"corporation":false,"usgs":false,"family":"Gerlach-Miller","given":"Joel","email":"","affiliations":[{"id":40505,"text":"USFWS - Marine Mammals Management","active":true,"usgs":false}],"preferred":false,"id":781472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":781471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weitzman, Ben 0000-0001-7559-3654","orcid":"https://orcid.org/0000-0001-7559-3654","contributorId":214292,"corporation":false,"usgs":true,"family":"Weitzman","given":"Ben","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":781473,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198469,"text":"ds1094 - 2018 - High-water marks from Hurricane Sandy for coastal areas of Connecticut, Rhode Island, and Massachusetts, October 2012","interactions":[],"lastModifiedDate":"2018-09-04T13:18:58","indexId":"ds1094","displayToPublicDate":"2018-09-04T12:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1094","title":"High-water marks from Hurricane Sandy for coastal areas of Connecticut, Rhode Island, and Massachusetts, October 2012","docAbstract":"<p>Because coastal areas in Connecticut, Rhode Island, and Massachusetts were heavily affected by Hurricane Sandy in October 2012, the U.S. Geological Survey (USGS), under a mission agreement with the Federal Emergency Management Agency, collected storm tide high-water marks in those coastal areas. This effort was undertaken to better understand the areal extent and impact of storm tides resulting from strong storms.</p><p>On October 27–29, 2012, Hurricane Sandy moved up the eastern coast of the United States after passing over the Bahamas. On October 29 at about 7:30 p.m. eastern daylight time, Hurricane Sandy made landfall its final time near Brigantine, New Jersey, with recorded wind speeds of about 80 miles per hour. The damages from Hurricane Sandy exceeded $50 billion in total, making it the second most costly Atlantic hurricane at that time, second only to Hurricane Katrina in 2005. Hurricane Sandy also resulted in 147 deaths, and about 650,000 homes and many businesses being damaged along the eastern coast of the United States. The severity of Hurricane Sandy’s effects resulted in presidential disaster declarations being declared in 10 States from Virginia to Massachusetts and the District of Columbia in the months following Hurricane Sandy; the list of States affected included Connecticut, Rhode Island, and Massachusetts.</p><p>In response to the approach of Hurricane Sandy, the USGS deployed 60 temporary storm tide sensors and 2 temporary real-time rapid deployment gages to collect tide elevation data during the storm along the coastal areas of Connecticut, Rhode Island, and Massachusetts. This activity was done from Virginia to Maine before the storm. Following Hurricane Sandy, in October and November 2012, 371 storm tide high-water marks were identified and flagged in the coastal areas of Connecticut, Rhode Island, and Massachusetts. High-water marks near USGS temporary storm tide sensors, real-time rapid deployment gages, and streamgages affected by the tides as well as high-water marks on Block Island, R.I., and Martha’s Vineyard and Nantucket, Mass., were surveyed at the same time the high-water marks were identified and flagged in October and November 2012. The remaining high-water marks flagged during October and November 2012 were surveyed from December 2013 through June 2014 and in December 2016. Elevations of all high-water marks were referenced to the North American Vertical Datum of 1988 and horizontal coordinates to the North American Datum of 1983 using the Global Navigation Satellite System, survey-grade Digital Global Positioning System receivers, and total station surveying equipment.</p><p>Of the 371 storm tide high-water marks flagged following Hurricane Sandy, only 364 high-water marks were surveyed; the remaining 7 could not be found or had been destroyed when locations were revisited to conduct surveys. The 157 high-water marks surveyed in Connecticut had elevations that ranged from 2.5 to 12.2 feet (ft) with an average elevation of 8.1 ft and a median elevation of 8.3 ft. The 76 high-water marks in Rhode Island had elevations that ranged from 3.6 to 16.2 ft and averaged 7.1 ft with a median of 6.6 ft. The 131 high-water marks in Massachusetts had elevations that ranged from 2.8 to 22.7 ft and averaged 7.3 ft with a median of 6.6 ft. Individual information on the location, type, accuracy, and elevation of the 371 high-water marks can be found in an accompanying USGS data release and at the USGS Flood Event Viewer website for Hurricane Sandy (<a href=\"https://stn.wim.usgs.gov/fev/#Sandy\" data-mce-href=\"https://stn.wim.usgs.gov/fev/#Sandy\">https://stn.wim.usgs.gov/fev/#Sandy</a>).</p><p>The high-water marks along the coast line of Connecticut and eastern Massachusetts, including Nantucket, generally had higher storm tide elevations than the coast line of Rhode Island including Block Island and southern Massachusetts, including Martha’s Vineyard. The high-water mark elevations compare well with recorded peak-storm tide data at USGS temporary storm tide sensors and real-time rapid deployment gages deployed for Hurricane Sandy in Connecticut, Rhode Island, and Massachusetts.</p><p>High-water mark data collected following Hurricane Sandy will be used by Federal, State, and local government agencies, nongovernmental organizations, universities, and the public for better understanding the areal extent and impact of the storm tides. Additionally, these data can be used for such activities as land-use planning, flood risk studies, flood resiliency studies, and coastal modeling. These data from this historic storm can be compared with other regional hurricanes and tropical storms for planning into the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1094","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Ostiguy, L.J., Sargent, T.C., Izbicki, B.J., and Bent, G.C., 2018, High-water marks from Hurricane Sandy for coastal areas of Connecticut, Rhode Island, and Massachusetts, October 2012: U.S. Geological Survey Data Series 1094,\n16 p., https://doi.org/10.3133/ds1094.","productDescription":"vi, 16 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-071899","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":356857,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7R49Q1C","text":"USGS data release","description":"USGS data 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 \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://newengland.water.usgs.gov\" data-mce-href=\"https://newengland.water.usgs.gov\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hurricane Sandy</li><li>High-Water Marks</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-09-04","noUsgsAuthors":false,"publicationDate":"2018-09-04","publicationStatus":"PW","scienceBaseUri":"5b98a269e4b0702d0e842e7e","contributors":{"authors":[{"text":"Ostiguy, Lance J. lostiguy@usgs.gov","contributorId":206711,"corporation":false,"usgs":true,"family":"Ostiguy","given":"Lance","email":"lostiguy@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sargent, Timothy C. 0000-0002-5590-1215","orcid":"https://orcid.org/0000-0002-5590-1215","contributorId":206712,"corporation":false,"usgs":true,"family":"Sargent","given":"Timothy","email":"","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Izbicki, Brittney 0000-0002-9161-0415 bizbicki@usgs.gov","orcid":"https://orcid.org/0000-0002-9161-0415","contributorId":207391,"corporation":false,"usgs":true,"family":"Izbicki","given":"Brittney","email":"bizbicki@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":743699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bent, Gardner C. 0000-0002-5085-3146","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":205226,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197638,"text":"70197638 - 2018 - Geologic map of the Timberville quadrangle, Virginia","interactions":[],"lastModifiedDate":"2018-09-04T10:18:26","indexId":"70197638","displayToPublicDate":"2018-09-02T11:07:52","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5737,"text":"Virginia Department of Mines, Minerals, and Energy Publication","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"186","title":"Geologic map of the Timberville quadrangle, Virginia","docAbstract":"<p><span id=\"desc\" class=\"NormalDouble\">This map of the Timberville 7.5-minute quadrangle in Rockingham and Shenandoah counties, Virginia shows the distribution of Paleozoic-age sedimentary rocks in map and cross-section. Surficial deposits including alluvium and colluvium are also shown. The characteristics of each map unit are described and a brief report discusses the stratigraphy, structure and mineral resources of the area.</span></p>","language":"English","publisher":"Virginia Division of Geology and Mineral Resources","usgsCitation":"Heller, M.J., Orndorff, R.C., Hubbard, D., and Rader, E.K., 2018, Geologic map of the Timberville quadrangle, Virginia: Virginia Department of Mines, Minerals, and Energy Publication 186, Sheet: 54.38 x 35.99 inches.","productDescription":"Sheet: 54.38 x 35.99 inches","ipdsId":"IP-092548","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":357019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355048,"type":{"id":15,"text":"Index Page"},"url":"https://www.dmme.virginia.gov/commerce/ProductDetails.aspx?productID=2991"}],"country":"United States","state":"Virginia","county":"Rockingham County, Shenandoah County","otherGeospatial":"Timberville Quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.875,\n              38.625\n            ],\n            [\n              -78.75,\n              38.625\n            ],\n            [\n              -78.75,\n              38.75\n            ],\n            [\n              -78.875,\n              38.75\n            ],\n            [\n              -78.875,\n             38.625\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a26be4b0702d0e842e90","contributors":{"authors":[{"text":"Heller, Matthew J.","contributorId":205633,"corporation":false,"usgs":false,"family":"Heller","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":33611,"text":"Virginia Division of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":738007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":738008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubbard, David A.","contributorId":62540,"corporation":false,"usgs":false,"family":"Hubbard","given":"David A.","affiliations":[],"preferred":false,"id":744027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rader, Eugene K.","contributorId":58228,"corporation":false,"usgs":false,"family":"Rader","given":"Eugene","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":744028,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202319,"text":"70202319 - 2018 - State‐space modelling of the flight behaviour of a soaring bird provides new insights to migratory strategies","interactions":[],"lastModifiedDate":"2019-02-22T13:05:28","indexId":"70202319","displayToPublicDate":"2018-09-01T13:05:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"State‐space modelling of the flight behaviour of a soaring bird provides new insights to migratory strategies","docAbstract":"<ol class=\"\"><li>Characterising the spatiotemporal variation of animal behaviour can elucidate the way individuals interact with their environment and allocate energy. Increasing sophistication of tracking technologies paired with novel analytical approaches allows the characterisation of movement dynamics even when an individual is not directly observable.</li><li>In this study, high‐resolution movement data collected via global positioning system (GPS) tracking in three dimensions were paired with topographical information and used in a Bayesian state‐space model to describe the flight modes of migrating golden eagles (<i>Aquila chrysaetos</i>) in eastern North America.</li><li>Our model identified five functional behavioural states, two of which were previously undescribed variations on thermal soaring. The other states comprised gliding, perching and orographic soaring. States were discriminated by movement features in the horizontal (step length and turning angle) and vertical (change in altitude) planes and by the association with ridgelines promoting wind deflection. Tracked eagles spent 2%, 31%, 38%, 9% and 20% of their daytime in directed thermal soaring, gliding, convoluted thermal soaring, perching and orographic soaring, respectively. The analysis of the relative occurrence of these flight modes highlighted yearly, seasonal, age, individual and sex differences in flight strategy and performance. Particularly, less energy‐efficient orographic soaring was more frequent in autumn, when thermals were less available. Adult birds were also better at optimising energy efficiency than subadults.</li><li>Our approach represents the first example of a state‐space model for bird flight mode using altitude data in conjunction with horizontal locations and is applicable to other flying organisms where similar data are available. The ability to describe animal movements in a three‐dimensional habitat is critical to advance our understanding of the functional processes driving animals’ decisions.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.13180","usgsCitation":"Pirotta, E., Katzner, T., Miller, T.A., Duerr, A.E., Braham, M.A., and New, L., 2018, State‐space modelling of the flight behaviour of a soaring bird provides new insights to migratory strategies: Functional Ecology, v. 32, no. 9, p. 2205-2215, https://doi.org/10.1111/1365-2435.13180.","productDescription":"11 p.","startPage":"2205","endPage":"2215","ipdsId":"IP-086940","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468453,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2435.13180","text":"External Repository"},{"id":361468,"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              -81,\n              39\n            ],\n            [\n              -74,\n              39\n            ],\n            [\n              -74,\n              43\n            ],\n            [\n              -81,\n              43\n            ],\n            [\n              -81,\n              39\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Pirotta, Enrico","contributorId":213483,"corporation":false,"usgs":false,"family":"Pirotta","given":"Enrico","email":"","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":757815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":757814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Tricia A.","contributorId":190591,"corporation":false,"usgs":false,"family":"Miller","given":"Tricia","email":"","middleInitial":"A.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":757816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duerr, Adam E.","contributorId":190590,"corporation":false,"usgs":false,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":757817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braham, Melissa A.","contributorId":199740,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":34303,"text":"West Virginia University, Department of Geology & Geography","active":true,"usgs":false}],"preferred":false,"id":757818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"New, Leslie","contributorId":213511,"corporation":false,"usgs":false,"family":"New","given":"Leslie","affiliations":[],"preferred":false,"id":757819,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228027,"text":"70228027 - 2018 - Brook Floater rapid assessment monitoring protocol","interactions":[],"lastModifiedDate":"2022-02-04T17:21:18.401432","indexId":"70228027","displayToPublicDate":"2018-09-01T11:13:31","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"132-2018","title":"Brook Floater rapid assessment monitoring protocol","docAbstract":"<p>The Brook Floater (<i>Alasmidonta varicosa</i>) is a small (&lt;100 mm), stream dwelling freshwater mussel (Family: Unionidae) from Atlantic Slope drainages in the eastern U.S. (Nedeau 2008). Brook Floater have dramatically contracted in distribution over recent decades, and there is limited evidence of recruitment in most locations, despite minimal effort to document population status (Wicklow et al., 2017). Brook Floater is listed as a Species of Greatest Conservation Need (SGCN) throughout its range in the United States (state-listed as imperiled or critically imperiled in all 15 states), has been extirpated from two states (Rhode Island and Delaware) and was recently petitioned for Federal listing in 2011 (Wicklow et al. 2017). Currently, there is a U.S. Fish and Wildlife (USFWS) Species Status Assessment underway to determine if federal listing under the Endangered Species Act is warranted. Brook Floater is also listed as a species of special concern in Canada, the northern extent of its range. In 2016, a state wildlife grant was awarded to develop range-wide conservation initiatives and strategies, including the development of rapid assessment and long-term monitoring techniques, in addition to developing conservation strategies to improve its probability of persistence in the future. The purpose of this protocol is to describe and facilitate a rapid approach to estimating Brook Floater occupancy to better understand the factors that influence Brook Floater distribution. Occupancy estimation approaches allow for estimation of species occupancy (; percent area occupied) within some scale of interest (for our purposes, the watershed), while simultaneously estimating species detection probability (p; the probability of finding an organism, if present). Occupancy estimation has been used with many wildlife taxa and is essential for understanding the presence or absence of wildlife in a particular area while accounting for imperfect detection (i.e., p&lt;1; MacKenzie et al. 2004, Shea et al. 2013, Wisniewski et al. 2013, Pandolfo et al. 2016, MacKenzie 2016). This approach does not rely on existing information about species presence or absence to select sites. Occupancy estimation operates on a robust probabilistic framework of randomly selected sites to infer what proportion of sites are occupied. Occupancy estimation also incorporates imperfect detection (p &lt;1; i.e., animals are cryptic and elusive; observers have varying experience searching, etc.; MacKenzie et al. 2003). For example, two mussel species that occupy a site might have two very different detection histories, as determined by revisiting a site and using the same methods on repeated visits to find both species. See hypothetical results here: Visits 1 2 3 4 5 Mussel species A 1 1 1 0 1 Mussel species B 0 0 0 1 0 (1 = detected, 0=not detected) Both of these mussel species occupy this site, yet Mussel A was detected in 4 out of 5 visits (high p) and Mussel B was detected in 1 out of 5 visits (low p) with the methods used to survey this site. Covariates may explain differences in detection between species or visits. Organisms may be: 1) present and not observed, 2) present and unavailable for capture (i.e., buried in sediment), or 3) not present at the site. Occupancy estimation uses repeated visits of randomly selected sites to build species detection histories (i.e., 1, 0, 1) to simultaneously estimate occupancy () and p. Typically, repeated visits are discrete sampling events and are more time consuming because each site requires &gt;3 separate visits. In our rapid assessment protocol, we use multiple independent observers searching longitudinal lanes to estimate detection in a single site visit as opposed to multiple discrete visits. Below are hypothetical results of occupancy by observer: Independent Observers 1 2 3 4 5 Mussel species A 1 1 0 1 1 Mussel species B 1 0 0 1 0 (1 = detected, 0=not detected) Objectives: The objectives of this rapid assessment survey approach are to guide collection of data that can be used to: A. Estimate the occupancy of Brook Floater within watersheds. B. Estimate the effects of reach- and watershed-scale habitat features on Brook Floater occurrence. C. Understand how survey covariates (e.g., surveyor experience) influence detection of Brook Floater. While this protocol explicitly targets collection of Brook Floater, it is likely that the methods can be adapted for occupancy surveys of other stream-dwelling freshwater mussel species.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","collaboration":"University of Massachusetts, Maine Department of Inland Fisheries and wildlife, New Hampshire Department of Fish and Game, New York Department of Conservations, Maryland Department of Natural Resources,","usgsCitation":"Sterrett, S., Roy, A.H., Hazelton, P., Watson, B., Swartz, B., Russ, T.R., Holst, L., Marchand, M., Wisniewski, J., Ashton, M., and Wicklow, B., 2018, Brook Floater rapid assessment monitoring protocol: Cooperator Science Series 132-2018, ii, 24 p.","productDescription":"ii, 24 p.","ipdsId":"IP-096688","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395447,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/digital/collection/document/id/2241/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sterrett, Sean","contributorId":274333,"corporation":false,"usgs":false,"family":"Sterrett","given":"Sean","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":832911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter","contributorId":274334,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","affiliations":[{"id":51525,"text":"Massachusetts Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":832912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watson, Brian","contributorId":274335,"corporation":false,"usgs":false,"family":"Watson","given":"Brian","email":"","affiliations":[{"id":56595,"text":"Virginia Division of Game and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":832913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swartz, Beth","contributorId":274336,"corporation":false,"usgs":false,"family":"Swartz","given":"Beth","email":"","affiliations":[{"id":39965,"text":"Maine Department of Inland Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":832914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russ, T. R.","contributorId":274338,"corporation":false,"usgs":false,"family":"Russ","given":"T.","email":"","middleInitial":"R.","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":832915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holst, Lisa","contributorId":274340,"corporation":false,"usgs":false,"family":"Holst","given":"Lisa","email":"","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marchand, Mike","contributorId":274342,"corporation":false,"usgs":false,"family":"Marchand","given":"Mike","email":"","affiliations":[{"id":56597,"text":"New Hampshire Fish and Game Department","active":true,"usgs":false}],"preferred":false,"id":832917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wisniewski, Jason","contributorId":274344,"corporation":false,"usgs":false,"family":"Wisniewski","given":"Jason","affiliations":[{"id":36378,"text":"Georgia Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":832918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ashton, Matt","contributorId":274345,"corporation":false,"usgs":false,"family":"Ashton","given":"Matt","email":"","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":832919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wicklow, Barry","contributorId":274346,"corporation":false,"usgs":false,"family":"Wicklow","given":"Barry","affiliations":[{"id":56599,"text":"Saint Anselm College","active":true,"usgs":false}],"preferred":false,"id":832920,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70199092,"text":"70199092 - 2018 - Sediment transport and deposition","interactions":[],"lastModifiedDate":"2018-09-11T10:52:50","indexId":"70199092","displayToPublicDate":"2018-09-01T10:52:43","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Sediment transport and deposition","docAbstract":"<p>Sediment transport and deposition (sedimentation) occurs from natural and anthropogenic sources in rivers, lakes, and reservoirs. Substantial changes in sediment transport (such as a major increase or decrease in sediment supply) can impact aquatic ecosystems that depend on a particular sediment quantity and particle size, for example, through altering stream-channel geomorphology or fish habitat. For human communities that rely on surface water resources, sedimentation can impact water supply and quality. Sedimentation in reservoirs affects water supply by reducing the reservoir volume available to store water. Sediment, as well as the nutrients and chemicals adsorbed in sediment, can serve as pollutants that decrease water quality and make water treatment necessary and costly.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Central Coast Summary Report. California’s Fourth Climate Change Assessment","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"State of California","usgsCitation":"Sankey, J.B., East, A.E., Kreitler, J.R., and Tague, C., 2018, Sediment transport and deposition, chap. <i>of</i> Central Coast Summary Report. California’s Fourth Climate Change Assessment, p. 31-33.","productDescription":"3 p.","startPage":"31","endPage":"33","ipdsId":"IP-098937","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":357223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357024,"type":{"id":11,"text":"Document"},"url":"https://www.climateassessment.ca.gov/regions/docs/20180827-CentralCoast.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a26ce4b0702d0e842e9c","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":744040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tague, Christina (Naomi)","contributorId":207524,"corporation":false,"usgs":false,"family":"Tague","given":"Christina (Naomi)","affiliations":[{"id":37552,"text":"Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":744038,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199083,"text":"70199083 - 2018 - The risk of rodent introductions from shipwrecks to seabirds on Aleutian and Bering Sea islands","interactions":[],"lastModifiedDate":"2018-08-31T10:02:20","indexId":"70199083","displayToPublicDate":"2018-08-31T09:59:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"The risk of rodent introductions from shipwrecks to seabirds on Aleutian and Bering Sea islands","docAbstract":"<p><span>Accidental introductions of rodents present one of the greatest threats to indigenous island biota, especially seabirds. On uninhabited remote islands, such introductions are likely to come from shipwrecks. Here we use a comprehensive database of shipwrecks in Western Alaska to model the frequency of shipwrecks per Aleutian and Bering Sea island, taken as a proxy for the threat of rodent introductions, using physical variables, and the intensity of nearby fishing traffic and activity as predictors. Using data spanning from 1950 to 2013, we found that shipwrecks were particularly common in the 1980s to early 2000s, with a major peak in wrecks during the late 1980s. Amount of fishing activity within 5&nbsp;km of an island was the strongest predictor of shipwrecks, followed by the strength of tidal currents and density of large-vessel traffic. Islands with the highest frequency of shipwrecks are all in the eastern Aleutians, including Unimak, Unalaska, and Akun Islands. By contrast, the largest seabird colonies are in the western Aleutian and Pribilof Islands, including Buldir, Kiska, and Saint George islands. Multiplying the frequency of a shipwreck by the number of seabirds breeding per island provides a measure of risk. The risk of rodent introductions from shipwrecks to seabirds was then greatest for Saint George (Bering Sea), Buldir (Western Aleutians) and Saint Matthew islands (Bering Sea). Keeping these high-risk islands rodent free would maintain their high a conservation value. Most islands with a high predicted frequency of shipwrecks already have established rodent populations and therefore few remaining seabirds. Of those islands with established rodent populations, Attu and Kiska Islands would make suitable targets for eradication, given their relatively low expected frequency of shipwrecks for their size. Further improvements in rat prevention on vessels and shipping safety would benefit the economy, human health and safety, and to the long-term conservation of island ecosystems.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-018-1726-z","usgsCitation":"Renner, M., Nelson, E., Watson, J., Haynie, A., Poe, A., Robards, M.D., and Hess, S.C., 2018, The risk of rodent introductions from shipwrecks to seabirds on Aleutian and Bering Sea islands: Biological Invasions, v. 20, no. 9, p. 2679-2690, https://doi.org/10.1007/s10530-018-1726-z.","productDescription":"12 p.","startPage":"2679","endPage":"2690","ipdsId":"IP-090330","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":356983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands, Bering Sea Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -188.08593749999997,\n              50.62507306341435\n            ],\n            [\n              -153.369140625,\n              50.62507306341435\n            ],\n            [\n              -153.369140625,\n              60.80206374467983\n            ],\n            [\n              -188.08593749999997,\n              60.80206374467983\n            ],\n            [\n              -188.08593749999997,\n              50.62507306341435\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-12","publicationStatus":"PW","scienceBaseUri":"5b98a26ce4b0702d0e842ea2","contributors":{"authors":[{"text":"Renner, Martin","contributorId":198248,"corporation":false,"usgs":false,"family":"Renner","given":"Martin","email":"","affiliations":[],"preferred":false,"id":743980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Eric","contributorId":140476,"corporation":false,"usgs":false,"family":"Nelson","given":"Eric","affiliations":[{"id":13511,"text":"Cornell Univesity","active":true,"usgs":false}],"preferred":false,"id":743981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watson, Jordan","contributorId":198249,"corporation":false,"usgs":false,"family":"Watson","given":"Jordan","affiliations":[],"preferred":false,"id":743982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haynie, Alan","contributorId":198250,"corporation":false,"usgs":false,"family":"Haynie","given":"Alan","email":"","affiliations":[],"preferred":false,"id":743983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poe, Aaron","contributorId":198251,"corporation":false,"usgs":false,"family":"Poe","given":"Aaron","affiliations":[],"preferred":false,"id":743984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robards, Martin D.","contributorId":40148,"corporation":false,"usgs":false,"family":"Robards","given":"Martin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":743985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":743979,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70231756,"text":"70231756 - 2018 - Kinematic, deformational, and thermochronologic conditions along the Gossan Lead and Fries shear zones: Constraining the western-eastern Blue Ridge boundary in northwestern North Carolina","interactions":[],"lastModifiedDate":"2022-06-01T15:39:39.634872","indexId":"70231756","displayToPublicDate":"2018-08-30T10:32:40","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Kinematic, deformational, and thermochronologic conditions along the Gossan Lead and Fries shear zones: Constraining the western-eastern Blue Ridge boundary in northwestern North Carolina","docAbstract":"<p><span>The fault boundary between the western and eastern Blue Ridge (WBR-EBR) in the southern Appalachians separates Mesoproterozoic basement rocks and their cover from Neoproterozoic to Paleozoic accreted rocks. Several northeast striking faults delineate the boundary, including the Gossan Lead shear zone in northwestern North Carolina. Varying tectonic interpretations of WBR-EBR boundary include a premetamorphic fault, an Acadian dextral strike-slip fault, or an Alleghanian fault. We use field-based, microstructural, and theromochronometric analyses to determine the conditions, kinematics, and timing of deformation, in order to distinguish among competing hypotheses for the Gossan Lead shear zone. This comprehensive approach has allowed us to attribute a number of new and previously observed tectonic fabrics to specific orogenic events; key relationships necessary to the study of multiply deformed tectonic margins. Detailed mapping and microstructural analysis of the Gossan Lead shear zone document a several kilometer-wide mylonitic zone with kinematic indicators that record dominantly top-to-the-NW thrust motion, with local strike-slip and normal sense indicators. Dynamically recrystallized quartz and feldspar constrain a range of deformation conditions from amphibolite to greenschist facies. Two unaltered lineation-forming amphiboles from mylonitic amphibolites record&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar cooling ages of 347–345&nbsp;Ma, and a mylonitized metagraywacke records a muscovite&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar cooling age of 336&nbsp;Ma. These data are consistent with dominantly NW directed thrusting along the Gossan Lead shear zone at amphibolite to greenschist facies conditions, and rapid cooling in the Middle Mississippian. We suggest these data support overprinting and/or reactivation of an earlier structure along this complexly deformed boundary by 336&nbsp;Ma.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017TC004879","usgsCitation":"Levine, J.S., Merschat, A.J., McAleer, R.J., Casale, G., Quillan, K.R., Fraser, K.I., and BeDell, T.G., 2018, Kinematic, deformational, and thermochronologic conditions along the Gossan Lead and Fries shear zones: Constraining the western-eastern Blue Ridge boundary in northwestern North Carolina: Tectonics, v. 37, no. 10, p. 3500-3523, https://doi.org/10.1029/2017TC004879.","productDescription":"24 p.","startPage":"3500","endPage":"3523","ipdsId":"IP-098742","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":468463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017tc004879","text":"Publisher Index Page"},{"id":401052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Blue Ridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.5,\n              36.40\n            ],\n            [\n              -81.25,\n              36.40\n            ],\n            [\n              -81.25,\n              36.55\n            ],\n            [\n              -81.5,\n              36.550\n            ],\n            [\n              -81.5,\n              36.40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"10","noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Levine, Jamie S. F.","contributorId":292052,"corporation":false,"usgs":false,"family":"Levine","given":"Jamie","email":"","middleInitial":"S. F.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":843706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":843707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":843708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casale, G.","contributorId":292053,"corporation":false,"usgs":false,"family":"Casale","given":"G.","email":"","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":843709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quillan, K. R.","contributorId":292054,"corporation":false,"usgs":false,"family":"Quillan","given":"K.","email":"","middleInitial":"R.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":843710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fraser, K. I.","contributorId":292055,"corporation":false,"usgs":false,"family":"Fraser","given":"K.","email":"","middleInitial":"I.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":843711,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"BeDell, T. G.","contributorId":292056,"corporation":false,"usgs":false,"family":"BeDell","given":"T.","email":"","middleInitial":"G.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":843712,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197875,"text":"ofr20121024N - 2018 - Geologic framework for the national assessment of carbon dioxide storage resources—Atlantic Coastal Plain and Eastern Mesozoic Rift Basins","interactions":[{"subject":{"id":70197875,"text":"ofr20121024N - 2018 - Geologic framework for the national assessment of carbon dioxide storage resources—Atlantic Coastal Plain and Eastern Mesozoic Rift Basins","indexId":"ofr20121024N","publicationYear":"2018","noYear":false,"chapter":"N","title":"Geologic framework for the national assessment of carbon dioxide storage resources—Atlantic Coastal Plain and Eastern Mesozoic Rift Basins"},"predicate":"IS_PART_OF","object":{"id":70093199,"text":"ofr20121024 - 2012 - Geologic framework for the national assessment of carbon dioxide storage resources","indexId":"ofr20121024","publicationYear":"2012","noYear":false,"title":"Geologic framework for the national assessment of carbon dioxide storage resources"},"id":1}],"isPartOf":{"id":70093199,"text":"ofr20121024 - 2012 - Geologic framework for the national assessment of carbon dioxide storage resources","indexId":"ofr20121024","publicationYear":"2012","noYear":false,"title":"Geologic framework for the national assessment of carbon dioxide storage resources"},"lastModifiedDate":"2019-02-21T10:54:07","indexId":"ofr20121024N","displayToPublicDate":"2018-08-29T15:45:00","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":"2012-1024","chapter":"N","title":"Geologic framework for the national assessment of carbon dioxide storage resources—Atlantic Coastal Plain and Eastern Mesozoic Rift Basins","docAbstract":"<p>This chapter presents information pertinent to the geologic carbon dioxide (CO<sub>2</sub>) sequestration potential within saline aquifers located in the Atlantic Coastal Plain and Eastern Mesozoic Rift Basins of the Eastern United States. The Atlantic Coastal Plain is underlain by a Jurassic to Quaternary succession of sedimentary strata that onlap westward onto strata of the Appalachian Piedmont physiographic province and generally thicken eastward toward the present-day Atlantic coastline and onto the present-day continental shelf. Although no significant petroleum discoveries have been made on the coastal plain, the deep saline aquifers of the region appear to contain porous strata (potential reservoirs, or “storage formations”) that are overlain by fine-grained, laterally continuous strata (potential seals), which are prospective CO<sub>2</sub> sequestration targets. For the Atlantic Coastal Plain, we identify two storage assessment units (SAUs), both of which consist of Cretaceous strata. The two SAUs are the Lower Cretaceous Composite SAU C50700101 and the Upper Cretaceous Composite SAU C50700102.</p><p>The Eastern Mesozoic Rift Basins are a chain of generally southwest- to northeast-trending, elongate sedimentary basins that either underlie the Atlantic Coastal Plain or crop out within adjacent geologic provinces to the west. Similar to the Atlantic Coastal Plain, there has been no significant oil and gas production from any of the basins, although there is a proven petroleum system in several of them. At least three of these basins appear to contain potential storage formations overlain by potential seal units. Most of the other basins were not assessed because a storage and (or) seal formation could not be established in the timeframe of the assessment, often because of the paucity of subsurface data for these basins in comparison to other petroliferous basins of the United States. Thus, we present information supporting one quantitative assessment in the Newark basin, as well as information supporting two nonquantitative assessments, one for strata in the Gettysburg basin and the other for strata in the Culpeper basin. We briefly discuss six other basins within the Eastern Mesozoic Rift Basins that were not assessed.</p><p>For all SAUs, we discuss the areal distribution of suitable CO<sub>2</sub> reservoir rock. We also describe the overlying sealing unit and the geologic characteristics that influence the potential CO<sub>2</sub> storage volume and reservoir characteristics. These characteristics include storage formation depth, gross thickness, net thickness, porosity, permeability, and groundwater salinity. Case-by-case strategies for estimating the pore volume existing within structurally and (or) stratigraphically closed traps are presented. Although assessment results are not contained in this chapter, the geologic information included herein was used to calculate the potential storage space in the SAUs.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geologic framework for the national assessment of carbon dioxide storage resources","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121024N","usgsCitation":"Craddock, W.H., Merrill, M.D., Roberts-Ashby, T.L., Brennan, S.T., Buursink, M.L., Drake, R.M., II, Warwick, P.D., Cahan, S.M., DeVera, C.A., Freeman, P.A., Gosai, M.A., and Lohr, C.D., 2018, Geologic framework for the national assessment of carbon dioxide storage resources—Atlantic Coastal Plain and Eastern Mesozoic Rift Basins, chap. N <i>of</i> Warwick, P.D., and Corum, M.D., eds., Geologic framework for the national assessment of carbon dioxide storage resources: U.S. Geological Survey Open-File Report 2012–1024, 32 p., https://doi.org/10.3133/ofr20121024N.","productDescription":"Report: vi, 32 p.; Spatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082323","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":356831,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2012/1024/n/ofr20121024n_acp-cell-c5070.zip","text":"Atlantic Coastal Plain Well Density","size":"1.77 GB","linkFileType":{"id":6,"text":"zip"}},{"id":356832,"rank":5,"type":{"id":23,"text":"Spatial 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MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2012 1024 N"}],"country":"United States","otherGeospatial":"Atlantic Coastal Plain and Eastern Mesozoic Rift Basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.72607421875,\n              27.235094607795503\n            ],\n            [\n              -71.34521484375,\n              27.235094607795503\n            ],\n            [\n              -71.34521484375,\n              42.71473218539458\n            ],\n            [\n              -86.72607421875,\n              42.71473218539458\n            ],\n            [\n              -86.72607421875,\n              27.235094607795503\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://energy.usgs.gov/GeneralInfo/&#10;AbouttheEnergyProgram.aspx\" data-mce-href=\"http://energy.usgs.gov/GeneralInfo/\nAbouttheEnergyProgram.aspx\">Energy Resources Program</a><br>12201 Sunrise Valley Drive <br>913 National Center <br>Reston, VA 20192<br>Email: <a href=\"mailto:gd-energyprogram@usgs.gov\" data-mce-href=\"mailto:gd-energyprogram@usgs.gov\">gd-energyprogram@usgs.gov</a></p>","tableOfContents":"<ul><li>Editors’ Preface</li><li>Abstract</li><li>Chapter Overview</li><li>Atlantic Coastal Plain</li><li>Eastern Mesozoic Rift Basins</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-08-29","noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","scienceBaseUri":"5b98a26fe4b0702d0e842eba","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 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II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739992,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739993,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cahan, Steven M. 0000-0002-4776-3668","orcid":"https://orcid.org/0000-0002-4776-3668","contributorId":206292,"corporation":false,"usgs":true,"family":"Cahan","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":739994,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeVera, Christina A. 0000-0002-4691-6108","orcid":"https://orcid.org/0000-0002-4691-6108","contributorId":206293,"corporation":false,"usgs":true,"family":"DeVera","given":"Christina A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":739995,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739996,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gosai, Mayur A.","contributorId":205932,"corporation":false,"usgs":false,"family":"Gosai","given":"Mayur","email":"","middleInitial":"A.","affiliations":[{"id":27774,"text":"formerly with USGS","active":true,"usgs":false}],"preferred":false,"id":739998,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739997,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70199756,"text":"70199756 - 2018 - Intensities, aftershock sequences, and the location of the 1936 Milton‐Freewater earthquake near the Oregon–Washington border, U.S.A. ","interactions":[],"lastModifiedDate":"2018-09-27T14:04:06","indexId":"70199756","displayToPublicDate":"2018-08-28T14:04:00","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":"Intensities, aftershock sequences, and the location of the 1936 Milton‐Freewater earthquake near the Oregon–Washington border, U.S.A. ","docAbstract":"<p><span>The epicenter of the 16 July 1936&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot; mathvariant=&quot;bold&quot;>M</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">M</span></span></span></span><span class=\"MJX_Assistive_MathML\">M</span></span></span><span>&nbsp;6 Milton‐Freewater earthquake, also known as the State Line earthquake and the largest historical earthquake in northeastern Oregon or southeastern Washington, is uncertain. Various studies place the epicenter of the earthquake, which was widely felt in eastern Washington, northeastern Oregon, and northern Idaho, within 30&nbsp;km of the intersection of the Hite and Wallula faults. In the absence of reported coseismic surface rupture for the earthquake, we sought to determine which epicentral location is most consistent with the intensity observations and with its aftershock sequence, which lasted for at least 27 months. An epicenter between Umapine and Milton‐Freewater best matches the observations. This location falls within the region that experienced the highest intensities of VII and reported the largest number of aftershocks, compares favorably to the (2018) International Seismological Centre‐Global Earthquake Model (ISC‐GEM) epicenter, and is proximal to sites that experienced ground failure and groundwater effects. Modeling of aftershock rates is consistent with this suggested epicenter and with the estimated 10&nbsp;km long subsurface rupture of the earthquake. This suggested epicenter lies at, or just west of, the intersection of the Hite and Wallula faults. The elongation of ground failure along the Wallula fault and the aftershock distribution appears more consistent with rupture of the Wallula fault or of a subparallel fault than with rupture of the Hite fault. Rupture on faults to the north or east of the Wallula‐Hite fault intersection is inconsistent with most observations, including the perceived impulsivity of the mainshock.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180111","usgsCitation":"Brocher, T.M., and Sherrod, B.L., 2018, Intensities, aftershock sequences, and the location of the 1936 Milton‐Freewater earthquake near the Oregon–Washington border, U.S.A. : Bulletin of the Seismological Society of America, v. 108, no. 5A, p. 2594-2613, https://doi.org/10.1785/0120180111.","productDescription":"20 p.","startPage":"2594","endPage":"2613","ipdsId":"IP-093870","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":357840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.25,\n              45.5\n            ],\n            [\n              -118,\n              45.5\n            ],\n            [\n              -118,\n              46.5\n            ],\n            [\n              -119.25,\n              46.5\n            ],\n            [\n              -119.25,\n              45.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"108","issue":"5A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-28","publicationStatus":"PW","scienceBaseUri":"5bc02fb3e4b0fc368eb53956","contributors":{"authors":[{"text":"Brocher, Thomas M. 0000-0002-9740-839X brocher@usgs.gov","orcid":"https://orcid.org/0000-0002-9740-839X","contributorId":262,"corporation":false,"usgs":true,"family":"Brocher","given":"Thomas","email":"brocher@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":746503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":746504,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198947,"text":"70198947 - 2018 - Twelve questions for the participatory modeling community","interactions":[],"lastModifiedDate":"2018-09-10T10:52:04","indexId":"70198947","displayToPublicDate":"2018-08-28T13:20:44","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Twelve questions for the participatory modeling community","docAbstract":"<p><span>Participatory modeling engages the implicit and explicit knowledge of stakeholders to create formalized and shared representations of reality and has evolved into a field of study as well as a practice. Participatory modeling researchers and practitioners who focus specifically on environmental resources met at the National Socio‐Environmental Synthesis Center (SESYNC) in Annapolis, Maryland, over the course of 2&nbsp;years to discuss the state of the field and future directions for participatory modeling. What follows is a description of 12 overarching groups of questions that could guide future inquiry.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018EF000841","usgsCitation":"Jordan, R., Gray, S., Zellner, M., Glynn, P.D., Voinov, A., Hedelin, B., Sterling, E.J., Leong, K., Olabisi, L.S., Hubacek, K., Bommel, P., BenDor, T.K., Jetter, A.J., Laursen, B., Singer, A., Giabbanelli, P.J., Kolagani, N., Carrera, L., Jenni, K., Prell, C., and National Socio-Environmental Synthesis Center Participatory Modeling Pursuit Working Group, 2018, Twelve questions for the participatory modeling community: Earth's Future, v. 6, no. 8, p. 1046-1057, https://doi.org/10.1029/2018EF000841.","productDescription":"12 p.","startPage":"1046","endPage":"1057","ipdsId":"IP-097317","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018ef000841","text":"Publisher Index Page"},{"id":356839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-03","publicationStatus":"PW","scienceBaseUri":"5b98a272e4b0702d0e842eda","contributors":{"authors":[{"text":"Jordan, Rebecca","contributorId":201914,"corporation":false,"usgs":false,"family":"Jordan","given":"Rebecca","email":"","affiliations":[{"id":36292,"text":"Rutgers University, Human Ecology & Ecology, Evolution and Natural Resources School of Environmental and Biological Sciences, 59 Lipman Drive, New Brunswick, NJ 08901","active":true,"usgs":false}],"preferred":false,"id":743524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Steven","contributorId":201912,"corporation":false,"usgs":false,"family":"Gray","given":"Steven","email":"","affiliations":[{"id":36290,"text":"Michigan State University, Department of Community Sustainability, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":743525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zellner, Moira","contributorId":201924,"corporation":false,"usgs":false,"family":"Zellner","given":"Moira","affiliations":[{"id":36300,"text":"University of Illinois at Chicago, Department of Urban Planning & Policy and Institute for Environmental Science and Policy. 412 S. Peoria St., MC 348, Chicago, IL 60607","active":true,"usgs":false}],"preferred":false,"id":743526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":743523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voinov, Alexey","contributorId":191330,"corporation":false,"usgs":false,"family":"Voinov","given":"Alexey","affiliations":[],"preferred":false,"id":743527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hedelin, Beatrice","contributorId":201917,"corporation":false,"usgs":false,"family":"Hedelin","given":"Beatrice","email":"","affiliations":[{"id":36295,"text":"Karlstad University, Centre 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Karen","contributorId":207323,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":743541,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Prell, Christina","contributorId":201921,"corporation":false,"usgs":false,"family":"Prell","given":"Christina","email":"","affiliations":[{"id":36299,"text":"University of Maryland, Department of Sociology, 2112 Parren Mitchell Art-Sociology Building, 3834 Campus Drive, College Park, MD 20742","active":true,"usgs":false}],"preferred":false,"id":743650,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"National Socio-Environmental Synthesis Center Participatory Modeling Pursuit Working Group","contributorId":207376,"corporation":true,"usgs":false,"organization":"National Socio-Environmental Synthesis Center Participatory Modeling Pursuit Working 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,{"id":70198659,"text":"fs20183054 - 2018 - Divisions of geologic time—Major chronostratigraphic and geochronologic units","interactions":[{"subject":{"id":98538,"text":"fs20103059 - 2010 - Divisions of geologic time-major chronostratigraphic and geochronologic units","indexId":"fs20103059","publicationYear":"2010","noYear":false,"title":"Divisions of geologic time-major chronostratigraphic and geochronologic units"},"predicate":"SUPERSEDED_BY","object":{"id":70198659,"text":"fs20183054 - 2018 - Divisions of geologic time—Major chronostratigraphic and geochronologic units","indexId":"fs20183054","publicationYear":"2018","noYear":false,"title":"Divisions of geologic time—Major chronostratigraphic and geochronologic units"},"id":1}],"lastModifiedDate":"2018-12-12T09:41:36","indexId":"fs20183054","displayToPublicDate":"2018-08-27T15:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3054","displayTitle":"Divisions of Geologic Time—Major Chronostratigraphic and Geochronologic Units","title":"Divisions of geologic time—Major chronostratigraphic and geochronologic units","docAbstract":"<h1>Introduction</h1><p>Effective communication in the geosciences requires a consistent nomenclature for stratigraphic units and, especially, for divisions of geologic time. A geologic time scale is composed of standard stratigraphic divisions based on rock sequences and is calibrated in years.</p><p>Geologists from the U.S. Geological Survey (USGS), State geological surveys, academia, and other organizations require a consistent time scale to be used in communicating ages of geo­logic units in the United States. Many international debates have occurred over names and boundaries of units, and various time scales have been used by the geoscience community.</p><p>For consistent usage of time terms, the USGS Geologic Names Committee and the Association of American State Geologists devel­oped the<strong> Divisions of Geologic Time</strong>; the 2018 update in this fact sheet contains the unit names and boundary age estimates ratified by the International Commission on Stratigraphy in 2018. Scientists may use other published time scales, provided that these are specified and referenced.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183054","collaboration":"Prepared in cooperation with the  Association of American State Geologists","usgsCitation":"U.S. Geological Survey Geologic Names Committee, 2018, Divisions of geologic time—Major chronostratigraphic and geochronologic units: U.S. Geological Survey Fact Sheet 2018–3054, 2 p., https://doi.org/10.3133/fs20183054.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-098903","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":356722,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20103059","text":"Fact Sheet  2010–3059","linkHelpText":"- Divisions of Geologic Time—Major Chronostratigraphic and Geochronologic Units"},{"id":356723,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20073015","text":"Fact Sheet 2007–3015","linkHelpText":"- Divisions of Geologic Time - Major Chronostratigraphic and Geochronologic Units"},{"id":356720,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3054/coverthb.jpg"},{"id":356721,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3054/fs20183054.pdf","text":"Report","size":"281 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3054"}],"contact":"<p>Eastern Geology and Paleoclimate Science Center<br>U.S. Geological Survey<br>MS 926A<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<p><br data-mce-bogus=\"1\"></p>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-08-27","noUsgsAuthors":false,"publicationDate":"2018-08-27","publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842eea","contributors":{"authors":[{"text":"U.S. Geological Survey Geologic Names Committee","contributorId":207261,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Geologic Names Committee","id":743357,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70229651,"text":"70229651 - 2018 - Annual cycle of White-winged Scoters (Melanitta fusca) in eastern North America: Migratory phenology, population delineation, and connectivity","interactions":[],"lastModifiedDate":"2022-03-11T12:52:27.058631","indexId":"70229651","displayToPublicDate":"2018-08-22T06:51:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Annual cycle of White-winged Scoters (Melanitta fusca) in eastern North America: Migratory phenology, population delineation, and connectivity","docAbstract":"<div>Understanding full annual cycle movements of long-distance migrants is essential for delineating populations, assessing connectivity, evaluating crossover effects between life stages, and informing management strategies for vulnerable or declining species. We used implanted satellite transmitters to track up to 2 years of annual cycle movements of 52 adult female White-winged Scoters (<i>Melanitta fusca</i><span>&nbsp;</span>(Linnaeus, 1758)) captured in the eastern United States and Canada. We used these data to document annual cycle phenology; delineate migration routes; identify primary areas used during winter, stopover, breeding, and molt; and assess the strength of migratory connectivity and spatial population structure. Most White-winged Scoters wintered along the Atlantic coast from Nova Scotia to southern New England, with some on Lake Ontario. White-winged Scoters followed four migration routes to breeding areas from Quebec to the Northwest Territories. Principal postbreeding molting areas were in James Bay and the St. Lawrence River estuary. Migration phenology was synchronous regardless of winter or breeding origin. Cluster analyses delineated two primary breeding areas: one molting area and one wintering area. White-winged Scoters demonstrated overall weak to moderate connectivity among life stages, with molting to wintering connectivity the strongest. Thus, White-winged Scoters that winter in eastern North America appear to constitute a single continuous population.</div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2018-0121","usgsCitation":"Meatey, D., McWilliams, S., Paton, P., Lepage, C., Gilliland, S., Savoy, L., Olsen, G.H., and Osenkowski, J., 2018, Annual cycle of White-winged Scoters (Melanitta fusca) in eastern North America: Migratory phenology, population delineation, and connectivity: Canadian Journal of Zoology, v. 96, no. 12, p. 1353-1365, https://doi.org/10.1139/cjz-2018-0121.","productDescription":"13 p.","startPage":"1353","endPage":"1365","ipdsId":"IP-098762","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":468485,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjz-2018-0121","text":"Publisher Index Page"},{"id":397013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meatey, D.E.","contributorId":288372,"corporation":false,"usgs":false,"family":"Meatey","given":"D.E.","email":"","affiliations":[{"id":61740,"text":"Department of Natural Resource Science, University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":837810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McWilliams, S.R.","contributorId":288373,"corporation":false,"usgs":false,"family":"McWilliams","given":"S.R.","email":"","affiliations":[{"id":61740,"text":"Department of Natural Resource Science, University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":837811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paton, P.W.C.","contributorId":288374,"corporation":false,"usgs":false,"family":"Paton","given":"P.W.C.","affiliations":[{"id":61740,"text":"Department of Natural Resource Science, University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":837812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lepage, C.","contributorId":288375,"corporation":false,"usgs":false,"family":"Lepage","given":"C.","email":"","affiliations":[{"id":12590,"text":"Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":837813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilliland, S.G.","contributorId":288376,"corporation":false,"usgs":false,"family":"Gilliland","given":"S.G.","email":"","affiliations":[{"id":12590,"text":"Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":837814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Savoy, L.","contributorId":288377,"corporation":false,"usgs":false,"family":"Savoy","given":"L.","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":837815,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olsen, Glenn H. 0000-0002-7188-6203","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":238130,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":837816,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Osenkowski, J.D.","contributorId":288378,"corporation":false,"usgs":false,"family":"Osenkowski","given":"J.D.","affiliations":[{"id":39552,"text":"Rhode Island Department of Environmental Management","active":true,"usgs":false}],"preferred":false,"id":837817,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70198856,"text":"sim3411 - 2018 - Geologic map of the Castle Rock 7.5' quadrangle, Arizona and California","interactions":[],"lastModifiedDate":"2022-04-19T19:38:38.706286","indexId":"sim3411","displayToPublicDate":"2018-08-21T10:45:33","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3411","title":"Geologic map of the Castle Rock 7.5' quadrangle, Arizona and California","docAbstract":"<p>The Castle Rock quadrangle is in the northeast corner of Chemehuevi Valley, California and Arizona. It includes the Colorado River’s entrance to the valley at the mouth of Topock Gorge and the northern outskirts of Lake Havasu City, Arizona, and the Chemehuevi Indian Tribe community of Havasu Lake, California. The map includes large parts of the Chemehuevi Indian Reservation and the Havasu National Wildlife Refuge. Upon its exit through the mouth of Topock Gorge, the Colorado River enters Chemehuevi Valley where its floodplain (now submerged under Lake Havasu) is flanked by alluvial piedmonts of the Chemehuevi and Mohave Mountains to the west and east, respectively. This abrupt transition offers a useful perspective into the structural evolution of the Colorado River extensional corridor and of the Colorado River itself. It contains key structural and stratigraphic elements recording a complex history of Cretaceous plutonism and deformation, significant tectonic extension, volcanism, and sedimentation in the Miocene, and, ultimately, the evolution of the Colorado River from the latest Miocene to the present. Lake Havasu submerged the axis of Chemehuevi Valley following the completion of Parker Dam in 1938, and the Colorado River now feeds a verdant delta marsh that composes part of the map. Important bedrock units include the Cretaceous Chemehuevi Mountains Plutonic Suite, the 18.78 Ma Peach Spring Tuff, and thick overlying sequences of interlayered Miocene megabreccia and fanglomerate. The exposure of these units is closely linked to extension along the Chemehuevi-Whipple Mountains detachment fault system. The complex bedrock geologic framework serves as the structural and topographic foundation for the key strata chronicling the evolution of the lower Colorado River. Important stratigraphic units that bear on its evolution to the present day include the Bouse Formation, the Bullhead Alluvium, and the Chemehuevi Formation. The map area also contains the river’s modern delta at the head of Lake Havasu.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3411","usgsCitation":"House, P.K., John, B.E., Malmon, D.V., Block, D., Beard, L.S., Felger, T.J., Crow, R.S., Schwing, J.E., and Cassidy, C.E., 2018, Geologic map of the Castle Rock 7.5' quadrangle, Arizona and California: U.S. Geological Survey Scientific Investigations Map 3411, scale 1:24,000, pamphlet 15 p., https://doi.org/10.3133/sim3411.","productDescription":"Pamphlet: iii, 15 p.; 1 Sheet: 41.0 x 30.0 inches; Database; Metadata; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078411","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":399120,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_107707.htm"},{"id":356669,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3411/sim3411_readme.txt","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3411"},{"id":356668,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3411/sim3411_database.zip","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3411"},{"id":356667,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3411/sim3411_metadata","text":"Metadata folder","description":"SIM 3411"},{"id":356664,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3411/coverthb.jpg"},{"id":356666,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3411/sim3411_map.pdf","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3411"},{"id":356665,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3411/sim3411_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3411"}],"country":"United States","state":"Arizona, California","otherGeospatial":"Castle Rock 7.5' quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.5,\n              34.5\n            ],\n            [\n              -114.375,\n              34.5\n            ],\n            [\n              -114.375,\n              34.625\n            ],\n            [\n              -114.5,\n              34.625\n            ],\n            [\n              -114.5,\n              34.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\" href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a data-mce-href=\"https://geomaps.wr.usgs.gov/\" href=\"https://geomaps.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a data-mce-href=\"http://geomaps.wr.usgs.gov/\" href=\"http://geomaps.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\">Flagstaff, Arizona</a><br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>2255 N. Gemini Drive<br>Flagstaff, AZ 86001-1600 </p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-08-21","noUsgsAuthors":false,"publicationDate":"2018-08-21","publicationStatus":"PW","scienceBaseUri":"5b98a282e4b0702d0e842f09","contributors":{"authors":[{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John, Barbara E.","contributorId":94186,"corporation":false,"usgs":true,"family":"John","given":"Barbara","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malmon, Daniel V.","contributorId":89998,"corporation":false,"usgs":true,"family":"Malmon","given":"Daniel","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":743174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Block, Debra 0000-0001-7348-3064 dblock@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-3064","contributorId":198448,"corporation":false,"usgs":true,"family":"Block","given":"Debra","email":"dblock@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beard, L. Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":152,"corporation":false,"usgs":true,"family":"Beard","given":"L.","email":"sbeard@usgs.gov","middleInitial":"Sue","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Felger, Tracey J. 0000-0003-0841-4235 tfelger@usgs.gov","orcid":"https://orcid.org/0000-0003-0841-4235","contributorId":1117,"corporation":false,"usgs":true,"family":"Felger","given":"Tracey","email":"tfelger@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743177,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743178,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schwing, Jonathan E.","contributorId":207189,"corporation":false,"usgs":false,"family":"Schwing","given":"Jonathan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743179,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cassidy, Colleen E. ccassidy@usgs.gov","contributorId":207190,"corporation":false,"usgs":true,"family":"Cassidy","given":"Colleen E.","email":"ccassidy@usgs.gov","affiliations":[],"preferred":false,"id":743180,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70194837,"text":"sim3395 - 2018 - Framework geologic map and structure sections along the Bartlett Springs fault zone and adjacent area from Round Valley to Wilbur Springs, northern Coast Ranges, California","interactions":[],"lastModifiedDate":"2023-05-26T15:18:39.975499","indexId":"sim3395","displayToPublicDate":"2018-08-17T12:36:15","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3395","title":"Framework geologic map and structure sections along the Bartlett Springs fault zone and adjacent area from Round Valley to Wilbur Springs, northern Coast Ranges, California","docAbstract":"<p>The geologic map and accompanying report describes the extent, complexity, architecture, and evolution of the Bartlett Springs Fault Zone between Clear Lake and Round Valley, California. This fault zone is the eastern-most known active member of the San Andreas transform margin in northern California. It is of particular interest for its apparent long-lived history as a Miocene and older subduction-margin fault that, more recently, was reactivated as an active, creeping member of the San Andreas Fault system. The northern part of the Bartlett Springs Fault Zone is apparently still influenced by subduction of the Gorda Plate beneath North America, but it also accommodates strike-slip displacement associated with interaction of the Pacific Plate with North America. South of the map area, the Bartlett Springs Fault Zone steps into and merges with active faults of the eastern San Francisco Bay region; to the north of the map area and Round Valley, the fault zone steps into several other fault zones that connect with offshore thrust faults of the Cascadia subduction margin. Adequate understanding of the geologic framework of this fault zone and its relation to crustal structure of the adjacent region is important for purposes of planning and upgrading hydro-electric and other infrastructure in northern California that is directly or indirectly impacted by active faulting.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3395","collaboration":"Prepared in Cooperation with Pacific Gas and Electric Company","usgsCitation":"McLaughlin, R.J., Moring, B.C., Hitchcock, C.S., and Valin, Z.C., 2018, Framework geologic map and structure sections along the Bartlett Springs fault zone and adjacent area from Round Valley to Wilbur Springs, northern Coast Ranges, California (ver. 1.1, September 2018): U.S. Geological Survey Scientific Investigations Map 3395, 60 p., https://doi.org/10.3133/sim3395.","productDescription":"Pamphlet: iv, 60 p.; 2 Sheets: 39.22 x 46.34 inches and 42.00 x 54.69 inches; Databases; 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Version 1.1: October 2018","contact":"<p><a href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\">Director</a>,<br><a href=\"https://geomaps.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://geomaps.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/\">Menlo Park, California</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-08-17","revisedDate":"2018-10-05","noUsgsAuthors":false,"publicationDate":"2018-08-17","publicationStatus":"PW","scienceBaseUri":"5b98a283e4b0702d0e842f15","contributors":{"authors":[{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":725511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moring, Barry C. 0000-0001-6797-9258 moring@usgs.gov","orcid":"https://orcid.org/0000-0001-6797-9258","contributorId":2794,"corporation":false,"usgs":true,"family":"Moring","given":"Barry","email":"moring@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":742032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitchcock, Christopher S.","contributorId":173160,"corporation":false,"usgs":false,"family":"Hitchcock","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":27167,"text":"InfraTerra, Inc.","active":true,"usgs":false}],"preferred":false,"id":742033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valin, Zenon C. 0000-0001-6199-6700 zenon@usgs.gov","orcid":"https://orcid.org/0000-0001-6199-6700","contributorId":3742,"corporation":false,"usgs":true,"family":"Valin","given":"Zenon","email":"zenon@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":742034,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198806,"text":"70198806 - 2018 - Modeling the Holocene slip history of the Wasatch fault (Utah): Coseismic and postseismic Coulomb stress changes and implications for paleoseismicity and seismic hazard","interactions":[],"lastModifiedDate":"2019-01-28T09:28:00","indexId":"70198806","displayToPublicDate":"2018-08-15T16:50:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the Holocene slip history of the Wasatch fault (Utah): Coseismic and postseismic Coulomb stress changes and implications for paleoseismicity and seismic hazard","docAbstract":"The Wasatch fault zone defines the eastern boundary of the actively extending Basin and Range Province (Utah, western United States) and poses a significant seismic hazard to the metropolitan areas along the Wasatch Range. A wealth of paleoseismological data documents ∼24 surface-rupturing Mw ≥ 7 earthquakes along the Wasatch fault during the past 6400 yr. Here, we simulated the Holocene earthquake sequence on the Wasatch, Oquirrh−Great Salt Lake, and West Valley faults using three-dimensional finite-element forward modeling with the goal to calculate coseismic and postseismic Coulomb stress changes and to evaluate the slip and magnitude of hypothetical present-day and future earthquakes. Our results show that a good fit between modeled and observed paleoevents and time-integrated slip rates can be achieved within the uncertainties of the paleoseismological record and model parameters like the fault geometry. The Coulomb stress change analysis for selected paleoearthquakes showed that maximum positive stress changes are induced on faults located along strike of the source fault, while faults parallel to the source fault are generally located in stress shadow zones. Postseismic viscoelastic relaxation considerably modifies the coseismic stress changes; the resulting transient stress changes are recognizable for more than 100 yr after an earthquake. The modeled present-day state of Coulomb stress changes shows that the Brigham City, Salt Lake City, and Provo segments of the Wasatch fault are prone to failure in a Mw ≥ 6.8 earthquake. Our study shows that simulation of an entire earthquake sequence based on a paleoseismological record is feasible and facilitates identification of possible gaps and inconsistencies in the paleoseismological record. Therefore, forward modeling of earthquake sequences may ultimately contribute to improved seismic hazard estimates.","language":"English","publisher":"GSA","doi":"10.1130/B31906.1","usgsCitation":"Bagge, M., Hampel andrea, and Gold, R.D., 2018, Modeling the Holocene slip history of the Wasatch fault (Utah): Coseismic and postseismic Coulomb stress changes and implications for paleoseismicity and seismic hazard: GSA Bulletin, v. 131, no. 1-2, p. 43-57, https://doi.org/10.1130/B31906.1.","productDescription":"15 p.","startPage":"43","endPage":"57","ipdsId":"IP-094219","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":356638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Wasatch fault zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.25,\n              40\n            ],\n            [\n              -111.5,\n              40\n            ],\n            [\n              -111.5,\n              41.25\n            ],\n            [\n              -112.25,\n              41.25\n            ],\n            [\n              -112.25,\n              40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"131","issue":"1-2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-15","publicationStatus":"PW","scienceBaseUri":"5b98a284e4b0702d0e842f23","contributors":{"authors":[{"text":"Bagge, Meike","contributorId":207170,"corporation":false,"usgs":false,"family":"Bagge","given":"Meike","email":"","affiliations":[{"id":37472,"text":"Institut fur Geolige, Lubniz Universitat Hannover","active":true,"usgs":false}],"preferred":false,"id":742996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hampel andrea","contributorId":207171,"corporation":false,"usgs":false,"family":"Hampel andrea","affiliations":[{"id":37472,"text":"Institut fur Geolige, Lubniz Universitat Hannover","active":true,"usgs":false}],"preferred":false,"id":742997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":742998,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198671,"text":"70198671 - 2018 - Evaluating the waterfowl breeding population and habitat survey for scaup","interactions":[],"lastModifiedDate":"2018-08-15T13:42:15","indexId":"70198671","displayToPublicDate":"2018-08-15T13:42:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the waterfowl breeding population and habitat survey for scaup","docAbstract":"<p><span>Potential bias in breeding population estimates of certain duck species from the Waterfowl Breeding Population and Habitat Survey (WBPHS) has been a concern for decades. The WBPHS does not differentiate between lesser (</span><i>Aythya affinis</i><span>) and greater (</span><i>A</i><span>.&nbsp;</span><i>marila</i><span>) scaup, but lesser scaup comprise 89% of the combined scaup population and their population estimates are suspected to be biased. We marked female lesser scaup (i.e., marked scaup) in the Mississippi and Atlantic Flyways, Canada and United States, with implantable satellite transmitters to track their spring migration through the traditional and eastern survey areas of the WBPHS, 2005–2010. Our goal was to use data independent of the WBPHS to evaluate whether breeding population estimates for scaup were biased and identify variables that might be used in the future to refine population estimates. We found that the WBPHS estimates of breeding scaup are biased because, across years, only 30% of our marked scaup had settled for the breeding period when the strata in which they settled were surveyed, 43% were available to be counted in multiple survey strata as their migration continued during the WBPHS, 32% settled outside the WBPHS area, the number of times a marked scaup was available to be counted by survey crews varied positively with the latitude that a marked scaup settled on breeding areas, the probability of a marked scaup being in a stratum while it was surveyed varied among years, and these probabilities were positively correlated with the traditional and eastern breeding population estimates for scaup. Annual population estimates derived from banding data provide a less biased and preferable method of monitoring scaup population status and trend. Development of models that include metrics such as survey stratum latitude and annual spring environmental conditions might potentially be used to improve scaup breeding population estimates derived from the WBPHS, but independent estimates from banding data would be important to evaluate such models.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21478","usgsCitation":"Schummer, M.L., Afton, A.D., Badzinski, S.S., Petrie, S.A., Olsen, G.H., and Mitchell, M.A., 2018, Evaluating the waterfowl breeding population and habitat survey for scaup: Journal of Wildlife Management, v. 82, no. 6, p. 1252-1262, https://doi.org/10.1002/jwmg.21478.","productDescription":"11 p.","startPage":"1252","endPage":"1262","ipdsId":"IP-092640","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":356513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","scienceBaseUri":"5b98a286e4b0702d0e842f35","contributors":{"authors":[{"text":"Schummer, Michael L.","contributorId":176347,"corporation":false,"usgs":false,"family":"Schummer","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":742504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":742505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Badzinski, Shannon S.","contributorId":176348,"corporation":false,"usgs":false,"family":"Badzinski","given":"Shannon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":742506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrie, Scott A.","contributorId":141223,"corporation":false,"usgs":false,"family":"Petrie","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":13717,"text":"Long Point Waterfowl","active":true,"usgs":false}],"preferred":false,"id":742507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":742503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitchell, Mark A.","contributorId":207036,"corporation":false,"usgs":false,"family":"Mitchell","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":37433,"text":"Department of Veterinary Clinical Medicine, University of Illinois, Urbana, IL 61802","active":true,"usgs":false}],"preferred":false,"id":742508,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202468,"text":"70202468 - 2018 - Liverworts from Attu Island, Near Islands, Aleutian Islands, Alaska (USA) with comparison to the Commander Islands (Russia)","interactions":[],"lastModifiedDate":"2019-03-04T15:35:36","indexId":"70202468","displayToPublicDate":"2018-08-13T15:35:29","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5810,"text":"Botanica Pacifica","active":true,"publicationSubtype":{"id":10}},"title":"Liverworts from Attu Island, Near Islands, Aleutian Islands, Alaska (USA) with comparison to the Commander Islands (Russia)","docAbstract":"<p><span>The liverwort flora of Attu Island, the westernmost Aleutian Island in the United States, was studied to assess species diversity in the hyperoceanic sector of the northern boreal subzone. The field study was undertaken in sites selected to represent a spectrum of environmental variation, primarily within the eastern part of the island. Data were analyzed using our own collections on Attu Island, supplemented with information from published reports to compare bryophyte distribution patterns at three levels, the Northern Hemisphere, North America, the Commander Islands of Russia, and Alaska. A total of 112 liverworts were identified and a substantial number, 34 species (30%), were new reports from Attu Island and one was new to Alaska. Geographic elements dominating the flora included arctomontane (26%), arctoboreomontane (23%), montane (20%), and boreal (14%) species, while arctic species were almost absent (1%). The liverworts of the Attu Island-Commander Islands region were widespread species with over 70% circumpolar, or nearly circumpolar; nevertheless large gaps were present in some of their distributions with a floristic depression in liverwort distribution between Attu and the Commander Islands.</span></p>","language":"English","publisher":"Botanica Pacifica","doi":"10.17581/bp.2018.07203","usgsCitation":"Talbot, S.S., Schofield, W.B., Vana, J., and Talbot, S.L., 2018, Liverworts from Attu Island, Near Islands, Aleutian Islands, Alaska (USA) with comparison to the Commander Islands (Russia): Botanica Pacifica, v. 7, no. 2, p. 127-141, https://doi.org/10.17581/bp.2018.07203.","productDescription":"15 p.","startPage":"127","endPage":"141","ipdsId":"IP-092332","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":460863,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17581/bp.2018.07203","text":"Publisher Index Page"},{"id":437786,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92H3W9D","text":"USGS data release","linkHelpText":"Frullania nisquallensis Species Confirmation, Attu Island, Alaska, 2018"},{"id":361715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","otherGeospatial":"Aleutian Islands, Attu Island, Commander Islands, Near Islands","volume":"7","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Talbot, Stephen S.","contributorId":213927,"corporation":false,"usgs":false,"family":"Talbot","given":"Stephen","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":758709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Wilfred B.","contributorId":213928,"corporation":false,"usgs":false,"family":"Schofield","given":"Wilfred","email":"","middleInitial":"B.","affiliations":[{"id":38932,"text":"Department of Botany, University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":758710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vana, Jiri","contributorId":213929,"corporation":false,"usgs":false,"family":"Vana","given":"Jiri","email":"","affiliations":[{"id":38933,"text":"Department of Botany, Charles University","active":true,"usgs":false}],"preferred":false,"id":758711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":758708,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198222,"text":"fs20183043 - 2018 - Assessment of undiscovered continuous oil and gas resources in the Upper Cretaceous Tuscaloosa marine shale of the U.S. Gulf Coast, 2018","interactions":[],"lastModifiedDate":"2018-08-09T16:31:44","indexId":"fs20183043","displayToPublicDate":"2018-08-09T13:20:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3043","title":"Assessment of undiscovered continuous oil and gas resources in the Upper Cretaceous Tuscaloosa marine shale of the U.S. Gulf Coast, 2018","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey assessed mean undiscovered, technically recoverable continuous<br>resources of 1.5 billion barrels of oil and 4.6 trillion cubic feet of gas in the Upper Cretaceous Tuscaloosa marine shale in onshore and State waters of<br>Louisiana, Mississippi, Alabama, and Florida in the U.S. Gulf Coast region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183043","usgsCitation":"Hackley, P.C., Enomoto, C.B., Valentine, B.J., Rouse, W.A., Lohr, C.D., Dulong, F.T., Hatcherian, J.J., Brennan, S.T., Craddock, W.H., Finn, T.M., Gaswirth, S.B., Le, P.A., Leathers-Miller, H.M., Marra, K.R., Mercier, T.J., Paxton, S.T., Whidden, K.J., Woodall, C.A., and Schenk, C.J., 2018, Assessment of undiscovered continuous oil and gas resources in the Upper Cretaceous Tuscaloosa marine shale of the U.S. Gulf Coast, 2018: U.S. Geological Survey Fact Sheet 2018–3043, 2 p., https://doi.org/10.3133/fs20183043.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-095021","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":437790,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XYSYW2","text":"USGS data release","linkHelpText":"USGS Gulf Coast Petroleum Systems and National and Global Oil and Gas Assessment Projects-Louisiana-Mississippi Salt Basins and Western Gulf Provinces, Upper Cretaceous Tuscaloosa Marine Shale Assessment Unit Boundaries and Assessment Input Data Forms"},{"id":356328,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3043/coverthb.jpg"},{"id":356329,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3043/fs20183043.pdf","text":"Report","size":"1.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3043"},{"id":356330,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20183033","text":"Fact Sheet 2018–3033:","linkHelpText":"Assessment of Undiscovered Oil and Gas Resources in the Eagle Ford Group and Associated Cenomanian–Turonian Strata, U.S. Gulf Coast, Texas, 2018"}],"country":"United States","otherGeospatial":"Upper Cretaceous Tuscaloosa Marine Shale","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94,\n              28\n            ],\n            [\n              -87,\n              28\n            ],\n            [\n              -87,\n              32.5\n            ],\n            [\n              -94,\n              32.5\n            ],\n            [\n              -94,\n              28\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: gd-energyprogram@usgs.gov\" data-mce-href=\"mailto: gd-energyprogram@usgs.gov\">Director</a>, <a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Eastern Energy Resources Science Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS-954<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Introduction</li><li>Geologic Model for Assessment</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-08-09","noUsgsAuthors":false,"publicationDate":"2018-08-09","publicationStatus":"PW","scienceBaseUri":"5b6fc3c8e4b0f5d57878e8df","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science 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