{"pageNumber":"607","pageRowStart":"15150","pageSize":"25","recordCount":184698,"records":[{"id":70228360,"text":"70228360 - 2020 - Projected climate and land use changes drive plant community composition in agricultural wetlands","interactions":[],"lastModifiedDate":"2022-02-09T17:30:26.286558","indexId":"70228360","displayToPublicDate":"2020-07-01T11:20:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1575,"text":"Environmental and Experimental Botany","active":true,"publicationSubtype":{"id":10}},"title":"Projected climate and land use changes drive plant community composition in agricultural wetlands","docAbstract":"<p id=\"spar0055\">Playa wetlands in the Great Plains, USA support a wide variety of plant species not found elsewhere in this agriculturally-dominated region due to the ephemeral presence of standing water and hydric soils within playas. If longer dry periods occur due to climate change or if changes in surrounding land use alter sediment accumulation rates and water storage capacity in playas, plant communities could experience decreased diversity, with lasting effects on ecosystem services provided by playas in the Great Plains and at a continental-level in North America. We quantified potential changes in playa wetland plant community composition associated with predicted changes in precipitation and land use in the Great Plains through the end of the 21<sup>st</sup><span>&nbsp;</span>century. We conducted two six-month greenhouse experiments mimicking field conditions using intact mesocosms collected from playas in Nebraska and Texas. In the precipitation experiment, treatments derived from historical precipitation observations and three future moderate emissions (CMIP5 RCP4.5) downscaled climate projections were applied to mesocosms. For the land use experiment, treatments were simulated by nitrogen (N) applications to soil ranging from 0 to 100 mg-N L<sup>-1</sup><span>&nbsp;</span>with each precipitation event under historical rainfall patterns, representing increasing and decreasing area in agricultural use in playa watersheds. Plant communities tended to shift toward more native species under projected future climate conditions, but as N runoff increased, native species richness decreased. Agricultural land-use surrounding playas may have a greater effect on wetland plant communities than future alterations to hydrology based on climate change in the Great Plains; thus, efforts to reduce nutrient runoff into playas would likely mitigate loss in ecosystem function in the coming decades.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envexpbot.2020.104039","usgsCitation":"Owen, R.K., Webb, E.B., Haukos, D.A., and Goyne, K.W., 2020, Projected climate and land use changes drive plant community composition in agricultural wetlands: Environmental and Experimental Botany, v. 175, p. 1-12, https://doi.org/10.1016/j.envexpbot.2020.104039.","productDescription":"104039, 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-111000","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":456171,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envexpbot.2020.104039","text":"Publisher Index Page"},{"id":395691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, Texas","otherGeospatial":"Rainwater Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.01953125,\n              40.01078714046552\n            ],\n            [\n              -96.51489257812499,\n              40.01078714046552\n            ],\n            [\n              -96.51489257812499,\n              41.77950486590359\n            ],\n            [\n              -100.01953125,\n              41.77950486590359\n            ],\n            [\n              -100.01953125,\n              40.01078714046552\n      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K.","contributorId":273204,"corporation":false,"usgs":false,"family":"Owen","given":"Rachel","email":"","middleInitial":"K.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":833945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop 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,{"id":70228141,"text":"70228141 - 2020 - Defining the need for genetic stock assignment when describing stock demographics and dynamics: An example using Lake Whitefish in Lake Michigan","interactions":[],"lastModifiedDate":"2022-02-04T16:50:01.408572","indexId":"70228141","displayToPublicDate":"2020-07-01T10:39:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Defining the need for genetic stock assignment when describing stock demographics and dynamics: An example using Lake Whitefish in Lake Michigan","docAbstract":"<p>Genetic stock assignment is not routinely used when describing the dynamics and demographics of individual stocks supporting mixed-stock fisheries, and capture location and timing are often used as alternative assignment methods. However, variation in stock demographics and dynamics may not be accounted for if stock assignments based on capture location or timing do not accurately reflect genetic assignments. We used Lake Whitefish<span>&nbsp;</span><i>Coregonus clupeaformis</i><span>&nbsp;</span>in Lake Michigan as a model fishery to determine whether stock mixing could undermine efforts to describe stock status when using October capture location as a proxy for genetic stock assignment. Accuracy of stock assignments based on October capture location ranged from 54% to 100% among management zones. Metrics describing length and age distributions, weight at length, fecundity, and growth varied among genetic stocks. Stock-specific metrics were typically similar between stock assignment methods (capture location versus genetics) because only one or two genetic stocks were collected in most locations and the majority of those fish were from spatially proximal stocks with similar metrics. However, more extensive mixing of Lake Whitefish stocks has been documented; thus, using capture location for stock assignment could result in incorrect conclusions regarding stock status and harvest management depending on stock composition. Ambiguity in genetic stock assignments was a problem in two management zones, where between 23% and 42% of Lake Whitefish did not assign to a specific stock with a probability of at least 0.70. In the future, using genomic techniques rather than microsatellites may provide different conclusions regarding genetic stock structure; these differences could affect the accuracy of using capture location for stock assignment. Use of capture location as a proxy for genetic stock assignment may not be warranted for all mixed-stock fisheries but may be appropriate when stock mixing is limited or is restricted to stocks with consistently similar characteristics.</p>","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10235","usgsCitation":"Isermann, D.A., Belnap, M.J., Turnquist, K.N., Sloss, B., VanDeHey, J.A., Hansen, S.P., and Caroffino, D.C., 2020, Defining the need for genetic stock assignment when describing stock demographics and dynamics: An example using Lake Whitefish in Lake Michigan: Transactions of the American Fisheries Society, v. 149, no. 4, p. 398-413, https://doi.org/10.1002/tafs.10235.","productDescription":"16 p.","startPage":"398","endPage":"413","ipdsId":"IP-105758","costCenters":[{"id":199,"text":"Coop Res Unit 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]\n}","volume":"149","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Matthew J.","contributorId":274657,"corporation":false,"usgs":false,"family":"Belnap","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":833202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turnquist, Keith N.","contributorId":139517,"corporation":false,"usgs":false,"family":"Turnquist","given":"Keith","email":"","middleInitial":"N.","affiliations":[{"id":12787,"text":"Molecular Conservation Genetics Laboratory, University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":833203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sloss, Brian L.","contributorId":9754,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian L.","affiliations":[],"preferred":false,"id":833204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"VanDeHey, Justin A.","contributorId":50800,"corporation":false,"usgs":true,"family":"VanDeHey","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":833205,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Scott P.","contributorId":79837,"corporation":false,"usgs":true,"family":"Hansen","given":"Scott","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":833206,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caroffino, David C.","contributorId":181527,"corporation":false,"usgs":false,"family":"Caroffino","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":833207,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70214490,"text":"70214490 - 2020 - A new data set of granitic rock strength values from Yosemite Valley, California: Applications to rock fall assessment","interactions":[],"lastModifiedDate":"2020-09-30T15:29:40.87055","indexId":"70214490","displayToPublicDate":"2020-07-01T10:26:05","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A new data set of granitic rock strength values from Yosemite Valley, California: Applications to rock fall assessment","docAbstract":"<p>To explore connections between rock strength and rock falls, we undertook a comprehensive rock mechanics testing program for six granitic rock types in Yosemite Valley (California, USA) where rock falls are a common geomorphic and sometimes hazardous process. We collected samples from boulders located at the base of cliffs, with the inherent assumption that the intact boulders should provide reasonable estimates of full-strength values. Our testing program included unconfined compressive strength tests, triaxial compressive strength tests, Brazilian tensile strength tests, and Mode I fracture toughness strength testing using two different types of samples – chevron bend (CB) and cracked chevron notched Brazilian disk (CCNBD). Our results, consisting of 88 individual tests, provide the most detailed evaluation of rock strength in Yosemite Valley to date. These results provide the data needed to evaluate the various failure modes (e.g., shear failure of wedge instabilities, tensile failure of overhangs) that might be expected for rock falls from cliffs in Yosemite. We expect that these data will provide an important resource for the evaluation of rock falls and other geomorphological studies in Yosemite National Park.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"54th US Rock Mechanics/Geomechanics Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Rock Mechanics Association","collaboration":"National Park Service, University of Lausanne, École Polytechnique Fédérale de Lausanne – EPFL","usgsCitation":"Collins, B.D., Sandrone, F., Gastaldo, L., Stock, G.M., and Jaboyedoff, M., 2020, A new data set of granitic rock strength values from Yosemite Valley, California: Applications to rock fall assessment, <i>in</i> 54th US Rock Mechanics/Geomechanics Symposium, 7 p.","productDescription":"7 p.","ipdsId":"IP-116600","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":378919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378800,"type":{"id":15,"text":"Index Page"},"url":"https://www.onepetro.org/conference-paper/ARMA-2020-1412"}],"country":"United States","state":"California","otherGeospatial":"Yosemite Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.11627197265624,\n              37.60335225883687\n            ],\n            [\n              -118.92974853515624,\n              37.60335225883687\n            ],\n            [\n              -118.92974853515624,\n              38.151837403006766\n            ],\n            [\n              -120.11627197265624,\n              38.151837403006766\n            ],\n            [\n              -120.11627197265624,\n              37.60335225883687\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":799727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandrone, Federica","contributorId":225125,"corporation":false,"usgs":false,"family":"Sandrone","given":"Federica","email":"","affiliations":[{"id":27718,"text":"Ecole Polytechnique Federale de Lausanne","active":true,"usgs":false}],"preferred":true,"id":799728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gastaldo, Laurent","contributorId":225126,"corporation":false,"usgs":false,"family":"Gastaldo","given":"Laurent","email":"","affiliations":[{"id":27718,"text":"Ecole Polytechnique Federale de Lausanne","active":true,"usgs":false}],"preferred":true,"id":799729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stock, Greg M.","contributorId":202873,"corporation":false,"usgs":false,"family":"Stock","given":"Greg","email":"","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":799730,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaboyedoff, Michel","contributorId":205586,"corporation":false,"usgs":false,"family":"Jaboyedoff","given":"Michel","affiliations":[{"id":37117,"text":"University of Lausanne (Switzerland)","active":true,"usgs":false}],"preferred":false,"id":799731,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210975,"text":"70210975 - 2020 - Mortality and cholinesterase inhibition in butterflies following aerial naled applications for mosquito control on the National Key Deer Refuge","interactions":[],"lastModifiedDate":"2020-08-04T14:21:41.420781","indexId":"70210975","displayToPublicDate":"2020-07-01T10:07:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Mortality and cholinesterase inhibition in butterflies following aerial naled applications for mosquito control on the National Key Deer Refuge","docAbstract":"<p><span>Natural resource managers are concerned about the impacts of aerial ultra-low volume spray (ULV) of insecticides for mosquito control (i.e., mosquito adulticides) and seek science-driven management recommendations that reduce risk but allow vector control for nearby human populations. Managers at the National Key Deer Refuge (Florida Keys, FL) are concerned for ULV effects upon conservation efforts for imperiled butterflies (Florida leafwing [</span><i>Anaea troglodyta floridalis</i><span>] and Bartram’s hairstreak [</span><i>Strymon acis bartrami</i><span>] butterflies). No-spray zones were designated for protection of those butterflies, but their effectiveness for mitigation is unclear. To address this uncertainty, cholinesterase activity (ChE) and mortality were monitored for caged butterflies gulf fritillary [</span><i>Agraulis vanilla</i><span>] and great southern white [</span><i>Ascia monuste</i><span>]) deployed on the Refuge during three aerial ULV applications of the insecticide naled. Residue samplers also were deployed to estimate butterfly exposure. Spray efficacy against mosquitoes was assessed by deploying caged mosquitoes at the same locations as the butterflies. Average naled residue levels on filter paper samplers in the target area (1882–2898&nbsp;µg/m</span><sup>2</sup><span>) was significantly greater than in the no-spray zone (9–1562&nbsp;µg/m</span><sup>2</sup><span>). Differences between the no-spray zone and target area for butterfly mortality and ChE were inconsistent. Average mortality was significantly lower, and average ChE was significantly higher in the no-spray zone for larvae of one species but not for larvae of the other species. Mosquito mortality did not differ significantly between the two areas. Data from the present study reflect the inconsistent effectiveness of no-spray zones on the Refuge using standard methods employed at the time by the vector control agency in the Florida Keys and possibly by other vector control agencies in similar coastal environments. Furthermore, these findings helped to guide the design and to improve the conservation value of future no-spray zone delineations while allowing for treatment in areas where mosquito control is necessary for vector-borne disease reduction.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-020-00745-8","usgsCitation":"Bargar, T., Anderson, C., and Sowers, A., 2020, Mortality and cholinesterase inhibition in butterflies following aerial naled applications for mosquito control on the National Key Deer Refuge: Archives of Environmental Contamination and Toxicology, v. 79, p. 233-245, https://doi.org/10.1007/s00244-020-00745-8.","productDescription":"13 p.","startPage":"233","endPage":"245","ipdsId":"IP-117059","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":436900,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74X55ZP","text":"USGS data release","linkHelpText":"Cholinesterase inhibition in butterflies on the National Key Deer Refuge following aerial application of a mosquito control pesticide"},{"id":376201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"National Key Deer Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.45092010498047,\n              24.63671928411111\n            ],\n            [\n              -81.31050109863281,\n              24.63671928411111\n            ],\n            [\n              -81.31050109863281,\n              24.778318518683687\n            ],\n            [\n              -81.45092010498047,\n              24.778318518683687\n            ],\n            [\n              -81.45092010498047,\n              24.63671928411111\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"79","noUsgsAuthors":false,"publicationDate":"2020-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Bargar, Timothy 0000-0001-8588-3436","orcid":"https://orcid.org/0000-0001-8588-3436","contributorId":211833,"corporation":false,"usgs":true,"family":"Bargar","given":"Timothy","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":792323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chad","contributorId":222871,"corporation":false,"usgs":false,"family":"Anderson","given":"Chad","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":792324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sowers, Anthony 0000-0002-9654-5341","orcid":"https://orcid.org/0000-0002-9654-5341","contributorId":222872,"corporation":false,"usgs":false,"family":"Sowers","given":"Anthony","email":"","affiliations":[{"id":40611,"text":"U.S. Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":792325,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211235,"text":"70211235 - 2020 - Book Review of \"Mathematical Geosciences: Hybrid Symbolic-Numeric Methods\", by Joseph L. Awange, Béla Paláncz, Robert H. Lewis, and Lajos Völgyesi","interactions":[],"lastModifiedDate":"2020-07-21T15:02:54.87196","indexId":"70211235","displayToPublicDate":"2020-07-01T10:01:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Book Review of \"Mathematical Geosciences: Hybrid Symbolic-Numeric Methods\", by Joseph L. Awange, Béla Paláncz, Robert H. Lewis, and Lajos Völgyesi","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"Springer","doi":"10.1007/s00024-020-02538-5","usgsCitation":"Geist, E.L., 2020, Book Review of \"Mathematical Geosciences: Hybrid Symbolic-Numeric Methods\", by Joseph L. Awange, Béla Paláncz, Robert H. Lewis, and Lajos Völgyesi: Pure and Applied Geophysics, v. 177, p. 3543-3544, https://doi.org/10.1007/s00024-020-02538-5.","productDescription":"2 p.","startPage":"3543","endPage":"3544","ipdsId":"IP-119679","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":376536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"177","noUsgsAuthors":false,"publicationDate":"2020-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":793347,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70236710,"text":"70236710 - 2020 - EERI earthquake reconnaissance report: 2019 Ridgecrest earthquake sequence","interactions":[],"lastModifiedDate":"2022-09-16T14:59:45.598285","indexId":"70236710","displayToPublicDate":"2020-07-01T09:54:51","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"EERI earthquake reconnaissance report: 2019 Ridgecrest earthquake sequence","docAbstract":"<p>The Ridgecrest Earthquake Sequence began the morning of 4 July 2019 with an M6.4 earthquake at 10:33 a.m., closely following several small foreshocks. The epicenter of this event was roughly 11 miles (18 km) east-northeast of Ridgecrest (Figure 1) within the Naval Air Weapons Station China Lake (NAWS-CL). Seismic and geologic data established that the M6.4 earthquake occurred primarily along a steeply dipping northeast-trending strike-slip fault with left-lateral slip. This earthquake and preliminary reports of damage in Ridgecrest and Trona and associated ground cracking triggered a response by earthquake scientists and engineers throughout the region. A California Earthquake Clearinghouse was established in Ridgecrest to help coordinate the scientific response effort and to share data.&nbsp;</p>","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Program, E.L., and Scharer, K., 2020, EERI earthquake reconnaissance report: 2019 Ridgecrest earthquake sequence, 71 p.","productDescription":"71 p.","ipdsId":"IP-127001","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":406846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":406817,"type":{"id":15,"text":"Index Page"},"url":"https://learningfromearthquakes.org/2019-07-04-searles-valley/index.php?option=com_content&view=article&id=79"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.25659179687499,\n              33.87953701355924\n            ],\n            [\n              -117.31201171875001,\n              33.87953701355924\n            ],\n            [\n              -117.31201171875001,\n              35.11990857099681\n            ],\n            [\n              -119.25659179687499,\n              35.11990857099681\n            ],\n            [\n              -119.25659179687499,\n              33.87953701355924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851964,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851965,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851966,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Pickering, Alexandra 0000-0002-1281-6117","orcid":"https://orcid.org/0000-0002-1281-6117","contributorId":208275,"corporation":false,"usgs":true,"family":"Pickering","given":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851967,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Blair, James Luke 0000-0002-6980-6446","orcid":"https://orcid.org/0000-0002-6980-6446","contributorId":213724,"corporation":false,"usgs":true,"family":"Blair","given":"James","email":"","middleInitial":"Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851968,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Ponti, Daniel J. 0000-0002-2437-5144 dponti@usgs.gov","orcid":"https://orcid.org/0000-0002-2437-5144","contributorId":1020,"corporation":false,"usgs":true,"family":"Ponti","given":"Daniel","email":"dponti@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851969,"contributorType":{"id":2,"text":"Editors"},"rank":8}],"authors":[{"text":"Program, EERI Learning from Earthquakes","contributorId":296610,"corporation":false,"usgs":false,"family":"Program","given":"EERI","email":"","middleInitial":"Learning from Earthquakes","affiliations":[{"id":64105,"text":"EERI","active":true,"usgs":false}],"preferred":false,"id":851962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851963,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70228572,"text":"70228572 - 2020 - A multifaceted reconstruction of the population structure and life history expressions of a remnant metapopulation of Bonneville Cutthroat Trout: Implications for maintaining intermittent connectivity","interactions":[],"lastModifiedDate":"2022-02-14T15:47:47.612718","indexId":"70228572","displayToPublicDate":"2020-07-01T09:34:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"A multifaceted reconstruction of the population structure and life history expressions of a remnant metapopulation of Bonneville Cutthroat Trout: Implications for maintaining intermittent connectivity","docAbstract":"<p>Fishes that evolutionarily demonstrated a fluvial life history expression and migrated to spawning and rearing habitat by using lotic corridors are increasingly impacted by fragmentation. The overall goal of this study was to identify the contemporary importance of main-stem connectivity and tributaries for maintaining life history expression, population structure, and viability of a large metapopulation of Bonneville Cutthroat Trout (BCT)<span>&nbsp;</span><i>Oncorhynchus clarkii utah</i><span>&nbsp;</span>persisting in the highly fragmented Weber River, Utah. We used a multifaceted approach, including active sampling, mark–recapture, passive PIT tag detection, otolith microchemistry, and genetics. We collected BCT in all tributaries and the main stem, encountering age-0 fish in three tributaries, indicating successful reproduction. In tributaries, the size structure was bimodal and consisted of smaller fish that were classified as resident and larger fish that were deemed to be fluvial, whereas all sizes and ages (age&nbsp;≥&nbsp;1) were present in the main stem. We identified up to eight age-classes; tributaries were dominated by ages 2 and 8, and the main stem was dominated by ages 2, 5, 6, and 7. Tributary BCT had lower growth rates than BCT in the main stem. We observed a surprising degree of fluvial life history expression, and fish also demonstrated very complex movement patterns across their life span. Average apparent survival (33%) was within the range estimated in similar studies for BCT, and the resight rate was best explained by angler management regulations. The fact that BCT in the Weber River and tributaries still reproduce successfully in most years and are still able to grow into large, fluvial fish suggests that connectivity must be occasionally available despite considerable fragmentation. Therefore, this metapopulation may need little further human intervention if barriers to fish passage can be removed, thereby improving connectivity, and it represents a high-priority metapopulation for conservation, thus highlighting the utility of our approach.</p>","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10240","usgsCitation":"Budy, P., Thompson, P., McKell, M., Thiede, G.P., Walsworth, T., and Conner, M., 2020, A multifaceted reconstruction of the population structure and life history expressions of a remnant metapopulation of Bonneville Cutthroat Trout: Implications for maintaining intermittent connectivity: Transactions of the American Fisheries Society, v. 149, no. 4, p. 443-461, https://doi.org/10.1002/tafs.10240.","productDescription":"19 p.","startPage":"443","endPage":"461","ipdsId":"IP-117517","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Cottonwood Creek, Dalton Creek, Dry Creek, Gordon Creek, Jacobs Creek, Peterson Creek, Smith Creek, Strawberry Creek, Weber River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.01969146728516,\n              41.236769377734916\n            ],\n            [\n              -112.01831817626953,\n              41.125400832085845\n            ],\n            [\n              -111.90845489501953,\n              41.11764191209906\n            ],\n            [\n              -111.90467834472655,\n              41.03326918097483\n            ],\n            [\n              -111.72100067138672,\n              41.03197427753679\n            ],\n            [\n              -111.72340393066406,\n              41.12203874604681\n            ],\n            [\n              -111.54659271240234,\n              41.21533725907034\n            ],\n            [\n              -111.54109954833984,\n              41.23367119256701\n            ],\n            [\n              -111.58710479736328,\n              41.23341300384136\n            ],\n            [\n              -111.72786712646484,\n              41.18485540813213\n            ],\n            [\n              -111.9290542602539,\n              41.19002282271705\n            ],\n            [\n              -112.01969146728516,\n              41.236769377734916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"149","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Paul D.","contributorId":276187,"corporation":false,"usgs":false,"family":"Thompson","given":"Paul D.","affiliations":[],"preferred":false,"id":834639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKell, Matt D.","contributorId":276191,"corporation":false,"usgs":false,"family":"McKell","given":"Matt D.","affiliations":[],"preferred":false,"id":834815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thiede, Gary P.","contributorId":9154,"corporation":false,"usgs":true,"family":"Thiede","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":834640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsworth, Timothy E.","contributorId":275032,"corporation":false,"usgs":false,"family":"Walsworth","given":"Timothy E.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":834641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conner, Mary M.","contributorId":275034,"corporation":false,"usgs":false,"family":"Conner","given":"Mary M.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":834642,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211508,"text":"70211508 - 2020 - Leachable phosphorus from senesced green ash and Norway mapleleaves in urban watersheds","interactions":[],"lastModifiedDate":"2020-08-03T14:49:50.385993","indexId":"70211508","displayToPublicDate":"2020-07-01T09:29:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Leachable phosphorus from senesced green ash and Norway mapleleaves in urban watersheds","docAbstract":"In urban watersheds, street tree leaf litter is a critical biogenic source of phosphorus (P) in stormwater runoff.\nStormwater extracts P from leaf litter and transports it, through the storm sewer network, to a receiving\nwaterbody potentially causing downstream eutrophication. The goal of this study is to understand P leaching dynamics of two prevalent tree species (Norway maple (Acer platanoides) and green ash (Fraxinus pennsylvanica))\nin three urban residential watersheds in Madison, Wisconsin, USA. Leaf litter was collected from the three basins\nduring Fall 2017 and 2018. Laboratory experiments showed an initial rapid total dissolved phosphorus (TDP) release that gradually plateaued over a 48-hour period. The total TDP released from Norway maple (2.10 mg g−1\n)\nwas greater than from green ash (1.60 mg g−1\n).Within the same species, increased fragmentation of leaves led to\nmore rapid initial TDP release, but not greater total TDP release. Increased aging of senescent leaves decreased\ntotal TDP release. Incubation temperature and volume of water in contact with leaves may not be critical factors\naffecting TDP leaching dynamics. Predictive equations were derived to characterize time-variable TDP release of\nboth Norway maple and green ash leaves. Potential TDP release from leaf litter estimated using these equations\nwas compared with field-measured end-of-pipe TDP loads in one of the study watersheds. Our results indicate\nthat preventing leaf litter from accumulating in streets is an important stormwater quality control measure.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.140662","usgsCitation":"Wang, Y., Thompson, A., and Selbig, W.R., 2020, Leachable phosphorus from senesced green ash and Norway mapleleaves in urban watersheds: Science of the Total Environment, v. 743, 140662, 10 p., https://doi.org/10.1016/j.scitotenv.2020.140662.","productDescription":"140662, 10 p.","ipdsId":"IP-117466","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":456181,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.140662","text":"Publisher Index Page"},{"id":436901,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UF3III","text":"USGS data release","linkHelpText":"Total phosphorus and total dissolved phosphorous released from Green Ash (Fraxinus pennsylvanica) and Norway Maple (Acer platanoides) as they contribute to leachable phosphorus in leaf litter and impact phosphorus loads in urban stormwater"},{"id":376837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"743","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Yi 0000-0003-3638-7940","orcid":"https://orcid.org/0000-0003-3638-7940","contributorId":236843,"corporation":false,"usgs":false,"family":"Wang","given":"Yi","email":"","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":794406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Anita 0000-0002-6202-1742","orcid":"https://orcid.org/0000-0002-6202-1742","contributorId":236844,"corporation":false,"usgs":false,"family":"Thompson","given":"Anita","email":"","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":794407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263280,"text":"70263280 - 2020 - Genetic structure of Smallmouth Bass in the Lake Michigan and Upper Mississippi River drainages relates to habitat, distance, and drainage boundaries: Smallmouth bass population genetic structure","interactions":[],"lastModifiedDate":"2025-02-05T14:21:54.170799","indexId":"70263280","displayToPublicDate":"2020-07-01T09:05:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12982,"text":"Transaction of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure of Smallmouth Bass in the Lake Michigan and Upper Mississippi River drainages relates to habitat, distance, and drainage boundaries: Smallmouth bass population genetic structure","docAbstract":"<p><span>Analysis of genetic connectivity helps to define stock boundaries and provides information on interpopulation dynamics, such as migration and spawning site fidelity. We used 16 microsatellite loci to describe the genetic population structure of 1,215 Smallmouth Bass&nbsp;</span><i>Micropterus dolomieu</i><span>&nbsp;from 32 sites throughout the upper Mississippi River and Lake Michigan watersheds. We found that Smallmouth Bass populations formed two genetically distinct units separated by the Mississippi River–Lake Michigan drainage boundary. Smallmouth Bass from the Lake Michigan drainage could be parsimoniously grouped into two or six genetically distinct units that largely corresponded with either river or lake habitats, while fish from the Mississippi River drainage grouped into two, six, or nine genetic units that were mostly associated with watershed boundaries. In the Lake Michigan and Mississippi River drainages, relative migration was limited between lake and river sites, suggesting that gene flow between neighboring sites with different habitat attributes can be low. Our research provides a higher‐resolution assessment of Smallmouth Bass genetic structure in a core portion of the species’ range and provides strong evidence that Smallmouth Bass populations are structured at small spatial scales that are potentially associated with habitat type. These results demonstrate the importance of evaluating genetic structure at small spatial scales and adopting management strategies that preserve genetic diversity of black bass populations at both the watershed level and the habitat level.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1002/tafs.10238","usgsCitation":"Euclide, P., Ruzich, J., Hansen, S., Rowe, D., Zorn, T., and Larson, W., 2020, Genetic structure of Smallmouth Bass in the Lake Michigan and Upper Mississippi River drainages relates to habitat, distance, and drainage boundaries: Smallmouth bass population genetic structure: Transaction of the American Fisheries Society, v. 149, no. 4, p. 383-397, https://doi.org/10.1002/tafs.10238.","productDescription":"15 p.","startPage":"383","endPage":"397","ipdsId":"IP-110080","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481657,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Lake Michigan, Upper Mississippi River drainages","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.47157655214929,\n              46.23506584980677\n            ],\n            [\n              -92.21749036091056,\n              46.23506584980677\n            ],\n            [\n              -91.22368843327665,\n              42.54628056314354\n            ],\n            [\n              -84.47157655214929,\n              42.61230188495793\n            ],\n            [\n              -84.47157655214929,\n              46.23506584980677\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"149","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Euclide, Peter T.","contributorId":348493,"corporation":false,"usgs":false,"family":"Euclide","given":"Peter T.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":926141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruzich, Jenna","contributorId":244568,"corporation":false,"usgs":false,"family":"Ruzich","given":"Jenna","email":"","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":926142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Scott P.","contributorId":348684,"corporation":false,"usgs":false,"family":"Hansen","given":"Scott P.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":926143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowe, David","contributorId":244571,"corporation":false,"usgs":false,"family":"Rowe","given":"David","email":"","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":926144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zorn, Troy G.","contributorId":348692,"corporation":false,"usgs":false,"family":"Zorn","given":"Troy G.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":926145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":926140,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70217905,"text":"70217905 - 2020 - The Cenozoic evolution of crustal shortening and left‐lateral shear in the central East Kunlun Shan: Implications for the uplift history of the Tibetan Plateau","interactions":[],"lastModifiedDate":"2021-02-10T14:05:13.86214","indexId":"70217905","displayToPublicDate":"2020-07-01T08:02:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"The Cenozoic evolution of crustal shortening and left‐lateral shear in the central East Kunlun Shan: Implications for the uplift history of the Tibetan Plateau","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The timing of crustal shortening and strike‐slip faulting along the East Kunlun Shan provides insight into the history of surface uplift and may constrain the time at which the Tibetan Plateau reached high elevations. We investigate a series of extensional basins and restraining bends along the Xidatan strand of the Kunlun strike‐slip fault, which provide an ideal setting to unravel the tectonic history of the northern plateau margin. We present new apatite (U‐Th)/He, apatite fission track, and zircon (U‐Th)/He ages and QTQt thermal modeling,<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar fault gouge dating, and structural mapping from the central East Kunlun Shan. Our data suggest that the East Kunlun Shan experienced slow to negligible exhumation until late Cretaceous time, followed by an increase in rate by 65–50&nbsp;Ma. Along with a ~47&nbsp;Ma fault gouge age, we posit that the Paleocene–early Eocene was a time of crustal shortening along the northern plateau. Rapid exhumation along transpressional portions of the Xidatan fault initiated by 23–20&nbsp;Ma, which we interpret as the local onset of strike‐slip faulting. An early Miocene transition from north‐south crustal shortening to left‐lateral shear along the East Kunlun Shan, the onset of normal and strike‐slip faulting in central and southern Tibet by 18&nbsp;Ma, and lower crustal flow in eastern Tibet by 13&nbsp;Ma suggest the establishment of orogen‐wide east‐west oriented extension and extrusion by the middle Miocene. The plateau‐wide shift in stress accommodation implies that high gravitational potential energy, and likely high elevation, was attained by the middle Miocene.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020TC006065","usgsCitation":"Staisch, L.M., Niemi, N., Clark, M., and Chang, H., 2020, The Cenozoic evolution of crustal shortening and left‐lateral shear in the central East Kunlun Shan: Implications for the uplift history of the Tibetan Plateau: Tectonics, v. 39, no. 9, e2020TC006065, 30 p., https://doi.org/10.1029/2020TC006065.","productDescription":"e2020TC006065, 30 p.","ipdsId":"IP-108595","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":456183,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020tc006065","text":"Publisher Index Page"},{"id":436902,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F3DZYQ","text":"USGS data release","linkHelpText":"Primary and supplementary data for estimating the the timing of crustal shortening and the initiation of left-lateral shear within the central Kunlun Shan, northern Tibet"},{"id":383199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":810138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niemi, Nathan A","contributorId":203251,"corporation":false,"usgs":false,"family":"Niemi","given":"Nathan A","affiliations":[{"id":36590,"text":"Dept. of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":810139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":810140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Hong","contributorId":248921,"corporation":false,"usgs":false,"family":"Chang","given":"Hong","email":"","affiliations":[{"id":50055,"text":"Institute of Earth Environment","active":true,"usgs":false}],"preferred":false,"id":810141,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216660,"text":"70216660 - 2020 - Gambel’s quail survey variability and implications for survey design in the Mohave Desert","interactions":[],"lastModifiedDate":"2020-11-27T13:36:19.520157","indexId":"70216660","displayToPublicDate":"2020-07-01T07:36:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Gambel’s quail survey variability and implications for survey design in the Mohave Desert","docAbstract":"<p><span>Careful design of a wildlife population monitoring strategy is necessary to obtain accurate and precise results whether the purpose of the survey is development of habitat suitability models, to estimate abundance, or assess site occupancy. Important characteristics to consider in survey design are sources of elevated variability, particularly within‐subject variability, which increases the amount of data needed to achieve statistical certainty either in terms of population trend analysis, hypothesis testing, or statistical power. However, alternative objectives, such as associating counts with habitat characteristics, may benefit from increased variation among counts when differences covary with habitat measures. This difference can result in competing needs when developing survey protocols. We investigated the relative precision of differing gamebird monitoring protocols to identify methods with the greatest statistical efficiency. We assessed call‐count transects using standard Breeding Bird Survey protocols (Passive call‐counts) and modified by including longer survey periods and call playback (Active call‐counts), autonomous recording units with supervised call detection (ARU‐recorded calls), camera traps, and roadside covey‐counts for Gambel's quail (</span><i>Callipepla gambelii</i><span>) in the Mojave Desert (CA, USA) during the spring of 2016. Active call‐counts had the lowest within‐site variation relative to estimated population index values, but Passive call‐count transects may be more efficient for some purposes because more survey stations can be completed within a single survey timeframe. The ARU‐recorded calls may provide a suitable alternative despite larger sample size needs, especially for occupancy surveys because multiple units can be deployed concurrently. The ultimate sample size required will depend on specific study objectives and scope of interest, but camera traps and breeding‐season covey counts are not likely to meet objectives in desert environments.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1105","usgsCitation":"Overton, C.T., Casazza, M.L., Connelley, D., and Gardner, S.C., 2020, Gambel’s quail survey variability and implications for survey design in the Mohave Desert: Wildlife Society Bulletin, v. 44, no. 3, p. 493-501, https://doi.org/10.1002/wsb.1105.","productDescription":"9 p.","startPage":"493","endPage":"501","ipdsId":"IP-104330","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":436903,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SVPK0N","text":"USGS data release","linkHelpText":"Comparisons of Gambel's quail survey methods conducted in 2016 within the Mohave Desert of California with results and summaries"},{"id":380834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave National  Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.597900390625,\n              33.8247936182649\n            ],\n            [\n              -114.378662109375,\n              33.8247936182649\n            ],\n            [\n              -114.378662109375,\n              35.576916524038616\n            ],\n            [\n              -116.597900390625,\n              35.576916524038616\n            ],\n            [\n              -116.597900390625,\n              33.8247936182649\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":805779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":805780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connelley, Daniel","contributorId":245293,"corporation":false,"usgs":false,"family":"Connelley","given":"Daniel","email":"","affiliations":[{"id":49140,"text":"Pheasants Forever, California","active":true,"usgs":false}],"preferred":false,"id":805781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, Scott C.","contributorId":192081,"corporation":false,"usgs":false,"family":"Gardner","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":805782,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243722,"text":"70243722 - 2020 - Substantially greater carbon emissions estimated based on annual land-use transition data","interactions":[],"lastModifiedDate":"2023-05-18T11:48:21.304527","indexId":"70243722","displayToPublicDate":"2020-07-01T06:40:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Substantially greater carbon emissions estimated based on annual land-use transition data","docAbstract":"<p><span>Quantifying land-use and land-cover change (LULCC) effects on carbon sources and sinks has been very challenging because of the availability and quality of LULCC data. As the largest estuary in the United States, Chesapeake Bay is a rapidly changing region and is affected by human activities. A new annual land-use and land-cover (LULC) data product developed by the U.S. Geological Survey Land Change Monitoring and Analysis Program (LCMAP) from 2001 to 2011 was analyzed for transitions between agricultural land, developed land, grassland, forest land and wetland. The Land Use and Carbon Scenario Simulator was used to simulate effects of LULCC and ecosystem disturbance in the south of the Chesapeake Bay Watershed (CBW) on carbon storage and fluxes, with carbon parameters derived from the Integrated Biosphere Simulator. We found that during the study period: (1) areas of forest land, disturbed land, agricultural land and wetland decreased by 90, 82, 57, and 65 km</span><sup>2</sup><span>, respectively, but developed lands gained 293 km</span><sup>2</sup><span>&nbsp;(29 km</span><sup>2</sup><span>&nbsp;annually); (2) total ecosystem carbon stock in the CBW increased by 13 Tg C from 2001 to 2011, mainly due to carbon sequestration of the forest ecosystem; (3) carbon loss was primarily attributed to urbanization (0.224 Tg C·yr</span><sup>−1</sup><span>) and agricultural expansion (0.046 Tg C·yr</span><sup>−1</sup><span>); and (4) estimated carbon emissions and harvest wood products were greater when estimated with the annual LULC input. We conclude that a dense time series of LULCC, such as that of the LCMAP program, may provide a more accurate accounting of the effects of land use change on ecosystem carbon, which is critical to understanding long-term ecosystem carbon dynamics.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs12071126","usgsCitation":"Diao, J., Liu, J., Zhu, Z., Li, M., and Sleeter, B.M., 2020, Substantially greater carbon emissions estimated based on annual land-use transition data: Remote Sensing, v. 12, no. 7, 15 p., https://doi.org/10.3390/rs12071126.","productDescription":"15 p.","ipdsId":"IP-105541","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":456187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12071126","text":"Publisher Index Page"},{"id":417197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, Virginia","otherGeospatial":"Chesapeake Bay Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.76743643889431,\n              39.33891670961805\n            ],\n            [\n              -77.39396479275541,\n              38.21620000341724\n            ],\n            [\n              -75.61512040539517,\n              37.61260838958307\n            ],\n            [\n              -75.0537501361022,\n              38.83411126864999\n            ],\n            [\n              -76.76743643889431,\n              39.33891670961805\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Diao, Jiaojiao","contributorId":305505,"corporation":false,"usgs":false,"family":"Diao","given":"Jiaojiao","email":"","affiliations":[{"id":33416,"text":"Nanjing Forestry University, China","active":true,"usgs":false}],"preferred":false,"id":873061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":873062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":873063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Mingshi","contributorId":202731,"corporation":false,"usgs":false,"family":"Li","given":"Mingshi","email":"","affiliations":[],"preferred":false,"id":873065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":873066,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263639,"text":"70263639 - 2020 - California Historical Intensity Mapping Project (CHIMP): A consistently reinterpreted dataset of seismic intensities for the past 162 years and implications for seismic hazard maps","interactions":[],"lastModifiedDate":"2025-02-19T16:21:00.999385","indexId":"70263639","displayToPublicDate":"2020-07-01T00:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"California Historical Intensity Mapping Project (CHIMP): A consistently reinterpreted dataset of seismic intensities for the past 162 years and implications for seismic hazard maps","docAbstract":"Historical seismic intensity data are useful for myriad reasons, including assessment of the performance of Probabilistic Seismic Hazard Assessment (PSHA) models and corresponding hazard maps by comparing their predictions to a dataset of historically observed intensities in the region. To assess PSHA models for California, a long and consistently interpreted intensity record is necessary. For this purpose, the California Historical Intensity Mapping Project (CHIMP) has compiled a dataset that combines and reinterprets intensity information that has been stored in disparate and sometimes hard-to-access locations. The CHIMP dataset also includes new observations of intensity from archival research and oral history collection. Version 1 of the dataset includes 46,502 intensity observations for 62 earthquakes with estimated magnitudes ranging from 4.7 to 7.9. The 162 years of shaking data show observed shaking lower than expected from seismic hazard models. This discrepancy is reduced, but persists, if historical intensity data for the largest earthquakes are smoothed to reduce the effects of spatial under-sampling. Possible reasons for this discrepancy include other limitations of the CHIMP dataset, the hazard models, and the possibility that California seismicity throughout the historical period has been lower than the long-term average. Some of these issues may also explain  similar discrepancies observed for Italy and Japan.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200065","usgsCitation":"Salditch, L., Gallahue, M.M., Lucas, M.C., Neely, J.S., Hough, S.E., and Stein, S., 2020, California Historical Intensity Mapping Project (CHIMP): A consistently reinterpreted dataset of seismic intensities for the past 162 years and implications for seismic hazard maps: Seismological Research Letters, v. 91, no. 5, p. 2631-2650, https://doi.org/10.1785/0220200065.","productDescription":"20 p.","startPage":"2631","endPage":"2650","ipdsId":"IP-119084","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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University","active":true,"usgs":false}],"preferred":false,"id":927640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neely, James S.","contributorId":263454,"corporation":false,"usgs":false,"family":"Neely","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":927641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stein, Seth","contributorId":263457,"corporation":false,"usgs":false,"family":"Stein","given":"Seth","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":927643,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70212898,"text":"70212898 - 2020 - Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River Fall Chinook Salmon ESU: January 2019 - December 2019","interactions":[],"lastModifiedDate":"2020-09-01T23:43:54.567337","indexId":"70212898","displayToPublicDate":"2020-06-30T18:43:28","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River Fall Chinook Salmon ESU: January 2019 - December 2019","docAbstract":"<p>The portion of the Snake River fall Chinook salmon <i>Oncorhynchus tshawytscha</i> evolutionary significant unit (ESU) that spawns upstream of Lower Granite Dam transitioned from low to high abundance during 19922019 in association with U.S. Endangered Species Act recovery efforts and other federally mandated actions. This annual report focuses on (1) numeric and habitat use responses by natural- and hatchery-origin spawners, (2) phenotypic and numeric responses by natural-origin juveniles, and (3) use of a small unmanned aerial system (sUAS) to search for fall Chinook salmon redds and carcasses. Spawners have located and used most of the available spawning habitat and that habitat is gradually approaching redd capacity. Timing of spawning and fry emergence have been relatively stable, but effects of density dependence are evident in juvenile life stages. Apparent abundance of juvenile fall Chinook salmon has increased and we noted the following responses: parr dispersal from riverine rearing habitat into Lower Granite Reservoir has become earlier; growth rate (g/d) and dispersal size of parr declined; and passage timing of smolts from the two Snake River reaches has become earlier and downstream movement rate faster. These findings coupled with stock-recruitment analyses presented in this report provide evidence for density-dependence in the Snake River reaches and in Lower Granite Reservoir that was influenced by the expansion of the recovery program. The long-term goal is to use this information in a comprehensive modeling effort to conduct action-effectiveness and uncertainty research and to inform Fish Population, Hydrosystem, Harvest, Hatchery, and Predation and Invasive Species Management Research, Monitoring, and Evaluation (RM&amp;E) progams. </p><p>In 2019, the U.S. Geological Survey (USGS) shifted survey efforts in the Snake River toward deepwater redd searches and fish collection for parentage-based tagging (PBT) analyses because all unmanned aerial system (UAS) activities were suspended by the Department of the Interior two weeks into the spawning season. We counted 81 deepwater redds at 17 of the 29 sites surveyed. Redd depths averaged 3.6 m. We collected a total of 123 live fall Chinook salmon from 16 unique geographic locations that spanned 55 river kilometers. Forty-six fish were recovered at Eureka Bar (rkm 307.1) and Kirby Creek (rkm 352.0), which accounted for 37% of all collected fish in 2019. Most (73 fish) post-spawned salmon were collected from early to mid-November just after peak spawning. A summary of 2019 PBT results can be found in Appendix A.1. </p><p>In 2019, we PIT tagged subyearling fall Chinook salmon in both the Snake and Clearwater rivers. In the Snake River, we tagged 410 fish with 8-mm tags, 666 fish with 9-mm tags, and 1,082 fish 12-mm tags. During seining, our recapture rate of previously tagged fish was slightly higher in the lower reach at 11.4% than in the upper reach at 10.6%. In an effort to represent more of the population through tagging, we tagged fish as small as 45 mm with 8-mm tags at one site in the upper reach. This allowed us to increase the number of fish tagged in that reach by 17.7%. An additional 10.6% of collected fish could have been tagged in the lower reach had we used 8-mm tags in that reach. In the Clearwater River, we tagged 2,451 subyearlings and recaptured 260 (10.6%) fish in the river and 66 fish (48 tagged by USGS, 18 tagged by the Nez Perce Tribe) at Lower Granite Dam during October to provide information for growth estimation. Within riverine habitats, growth in both length and mass were higher for fish tagged with 8-mm tags than with 9- and 12-mm tags. Estimated growth in length and mass of subyearlings was higher in Lower Granite Reservoir than in riverine habitats. </p><p>We adapted existing statistical models used to estimate abundance of steelhead and spring/summer Chinook salmon for fall Chinook salmon passing Lower Granite Dam. Run reconstruction efforts to date at Lower Granite Dam for Snake River fall Chinook salmon have provided estimates of the number of returning adults but with no measure of uncertainty about the estimates. The objective of this study was to estimate the abundance, with uncertainty, of marked (coded-wire tagged CWT or adipose clipped) and unmarked fall Chinook salmon past Lower Granite Dam for return years 20032018. Estimating uncertainty is important for informing the state-space life cycle model (Chapter 5), which incorporates both observation and process uncertainty into parameter estimates. The coefficient of variation (CV) for log- abundance was 1.0% or less in all years, whereas the CV for abundance averaged 4.2% and ranged from 1.4% to 10.4% among years. </p><p>Over the past five years, we have been developing a two-stage state-space life-cycle model for naturally produced fall Chinook salmon in the Snake River basin. Initial efforts focused on generating juvenile and adult abundance estimates, with estimates of uncertainty, for informing the life-cycle model. In this report we 1) describe the statistical life-cycle model and improvements made since our last report to the Independent Scientific Advisory Board (ISAB), 2) estimate the effects of covariates on key demographic parameters, and 3) use the fitted life- cycle model to simulate population trajectories under hydrosystem actions proposed for the NOAA 2020 Biological Opinion (hereafter, the Proposed Action). Major recent advancements to the model include revised juvenile abundance estimates, the ability to estimate smolt-to-adult return rates (SAR) separately for subyearling and yearling juvenile fall Chinook salmon, and improvements in the observation model for estimating age, sex, and outmigration structure in adult returns. We examined the effect of numerous environmental, hydrosystem, and ocean covariates on key demographic parameters but only a few covariates were significant. For the adult-to-juvenile transition, we found the maximum weekly river flows during the winter egg- incubation period had a significant negative effect on the juvenile outmigrant abundance from that brood year. For subyearling outmigrants, percent spill during the summer had a significant positive effect on SAR and the mean winter PDO (Pacific Decadal Oscillation) had a significant negative effect on SAR. For yearling outmigrants, NPGO (North Pacific Gyre Oscillation) had a significant positive effect on SAR. We used the fitted model to simulate population trajectories under the Proposed Action, and the median 10-year geometric mean abundance was 8,222 female spawners (interquartile range: 2,592 26,714). Overall, the probability of quasi- extinction (probability of falling below 50 female spawners for 4 consecutive years) was low, with only 1.6% of all simulations having a quasi-extinction probability &gt;0.95. Although quasi-extinction probability was low, we did not assess the additional effect of climate change, which would be expected to increase quasi-extinction probability.</p>","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"2020, Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River Fall Chinook Salmon ESU: January 2019 - December 2019, v, 126 p.","productDescription":"v, 126 p.","ipdsId":"IP-119421","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":378076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378055,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Document.mvc/DocumentViewer/P176701/84776-1.pdf"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Snake River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.9375,\n              41.983994270935625\n            ],\n            [\n              -113.31298828125,\n              41.983994270935625\n            ],\n            [\n              -113.31298828125,\n              48.004625021133904\n            ],\n            [\n              -120.9375,\n              48.004625021133904\n            ],\n            [\n              -120.9375,\n              41.983994270935625\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":220176,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":797793,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":797794,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70211583,"text":"70211583 - 2020 - Body sizes in upper elevation populations of whiptail lizards: Aspidoscelis inornatus (Squamata: Teiidae) in central and northern Arizona, USA","interactions":[],"lastModifiedDate":"2020-08-06T19:12:59.037591","indexId":"70211583","displayToPublicDate":"2020-06-30T17:11:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Body sizes in upper elevation populations of whiptail lizards: <i>Aspidoscelis inornatus</i> (Squamata: Teiidae) in central and northern Arizona, USA","title":"Body sizes in upper elevation populations of whiptail lizards: Aspidoscelis inornatus (Squamata: Teiidae) in central and northern Arizona, USA","docAbstract":"<p>The binational distribution of the gonochoristic (i.e., diploid bisexual) <i>Aspidoscelis inornatus</i> (Little Striped Whiptail) complex extends from parts of Arizona, New Mexico, and Texas in the USA (Taylor 1965; Stevens 1983; Wright and Lowe 1993; Sullivan 2009; Walker et al. 2012) southward into parts of the Mexican states Chihuahua, Coahuila, Durango, Nuevo León, Zacatecas, San Luis Potosí, and Tamaulipas (Axtell 1961; Wright and Lowe 1993; Farr et al. 2009; Walker et al. 2009). Within this vast distributional area, mean and maximum snout vent length (SVL) of <i>A. inornatus</i> varies geographically based in part on the types of habitats and climatic regimens occupied (Wright and Lowe 1993; Walker et al. 2009; Rosenblum and Harmon 2010).</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Walker, J., Persons, T.B., Sullivan, B.K., Drost, C.A., and Cordes, J.E., 2020, Body sizes in upper elevation populations of whiptail lizards: Aspidoscelis inornatus (Squamata: Teiidae) in central and northern Arizona, USA: Herpetological Review, v. 51, no. 2, p. 212-214.","productDescription":"3 p.","startPage":"212","endPage":"214","numberOfPages":"3","ipdsId":"IP-115534","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":377042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377041,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0380859375,\n              33.52307880890422\n            ],\n            [\n              -109.072265625,\n              33.52307880890422\n            ],\n            [\n              -109.072265625,\n              36.96744946416934\n            ],\n            [\n              -114.0380859375,\n              36.96744946416934\n            ],\n            [\n              -114.0380859375,\n              33.52307880890422\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, James M.","contributorId":30180,"corporation":false,"usgs":true,"family":"Walker","given":"James M.","affiliations":[],"preferred":false,"id":794703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Persons, Trevor B.","contributorId":96354,"corporation":false,"usgs":true,"family":"Persons","given":"Trevor","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":794704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Brian K.","contributorId":177225,"corporation":false,"usgs":false,"family":"Sullivan","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":794705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cordes, James E.","contributorId":236959,"corporation":false,"usgs":false,"family":"Cordes","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":794707,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210854,"text":"ofr20201062 - 2020 - Community for data integration 2018 funded project report","interactions":[],"lastModifiedDate":"2020-08-05T18:31:43.58224","indexId":"ofr20201062","displayToPublicDate":"2020-06-30T14:15:00","publicationYear":"2020","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":"2020-1062","displayTitle":"Community for Data Integration 2018 Funded  Project Report","title":"Community for data integration 2018 funded project report","docAbstract":"<p>The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 10 projects funded in fiscal year 2018, outlining their goals, activities, and accomplishments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201062","usgsCitation":"Hsu, L., Andrews, C.M., Bradford, J.B., Buscombe, D.D., Chase, K.J., Daniel, W.M., Jones, J.M., Fuller, P., Mirus, B.B., Neilson, M.E., Vraga, H.W., Walker, J.J., Walworth, D.H., Warrick, J., Weltzin, J., Wieferich, D.J., and Wood, N.J., 2020, Community for Data Integration 2018 funded project report: U.S. Geological Survey Open-File Report 1062, 9 p., https://doi.org/10.3133/ofr20201062.","productDescription":"iv, 9 p.","onlineOnly":"Y","ipdsId":"IP-119025","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":375990,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1062/ofr20201062.pdf","text":"Report","size":"4.25 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lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":791713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Caitlin M. 0000-0003-4593-1071 candrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4593-1071","contributorId":192985,"corporation":false,"usgs":true,"family":"Andrews","given":"Caitlin","email":"candrews@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":791714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 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dwalworth@usgs.gov","orcid":"https://orcid.org/0000-0003-1256-5458","contributorId":140664,"corporation":false,"usgs":true,"family":"Walworth","given":"Dennis","email":"dwalworth@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":791725,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791726,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":true,"id":791727,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wieferich, Daniel J. 0000-0003-1554-7992 dwieferich@usgs.gov","orcid":"https://orcid.org/0000-0003-1554-7992","contributorId":176205,"corporation":false,"usgs":true,"family":"Wieferich","given":"Daniel","email":"dwieferich@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5069,"text":"Office of the AD Core Science Systems","active":true,"usgs":true}],"preferred":true,"id":791728,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wood, Nathan J. 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,{"id":70213311,"text":"70213311 - 2020 - A science business model for answering important questions","interactions":[],"lastModifiedDate":"2020-09-17T17:55:22.37147","indexId":"70213311","displayToPublicDate":"2020-06-30T12:48:18","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"A science business model for answering important questions","docAbstract":"Perhaps the biggest question in science is how to do better science. Many ecologists, including this book’s editors and authors, have succeeded under the current science “business model” and, from our perspective, the status quo works well enough. But science business models are under increased scrutiny. For instance, since 2012, at least nine papers have critiqued government-sponsored biomedical research, with the most-suggested (self-serving) solution being to spend more government funds on science (Pickett et al. 2015). To get more funding, scientists might consider first improving their return on investment. To increase return on investment, ecologists (and scientists in general) could rethink training programs, reproducibility, funding distribution, synthesis, publication models, and evaluation metrics.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unsolved Problems in Ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Princeton University Press","usgsCitation":"Lafferty, K.D., 2020, A science business model for answering important questions, chap. <i>of</i> Unsolved Problems in Ecology, p. 357-373.","productDescription":"17 p.","startPage":"357","endPage":"373","ipdsId":"IP-077013","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":378527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":799010,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70211856,"text":"70211856 - 2020 - U-Pb geochronology of igneous and detrital zircon samples from the Tok River area, eastern Alaska Range, and Talkeetna Mountains, Alaska","interactions":[],"lastModifiedDate":"2020-08-12T14:45:33.275947","indexId":"70211856","displayToPublicDate":"2020-06-30T12:14:32","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6001,"text":"Geological & Geophysical Surveys","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"DGGS RDF 2020-3","title":"U-Pb geochronology of igneous and detrital zircon samples from the Tok River area, eastern Alaska Range, and Talkeetna Mountains, Alaska","docAbstract":"This Alaska Division of Geological & Geophysical Surveys (DGGS) Raw Data File presents U-Pb zircon geochronology results from selected igneous, meta-igneous, and metasedimentary rocks collected during the Tok River and Wrangellia geologic mapping projects in the eastern Alaska Range and the northwestern Talkeetna Mountains, Alaska. The purpose of these analyses is to better constrain the age of select geologic units encountered during the mapping projects.","language":"English","publisher":"Department of Natural Resources, State of Alaska","doi":"10.14509/30439","usgsCitation":"Holm-Denoma, C., Sicard, K.R., and Twelker, E., 2020, U-Pb geochronology of igneous and detrital zircon samples from the Tok River area, eastern Alaska Range, and Talkeetna Mountains, Alaska: Geological & Geophysical Surveys DGGS RDF 2020-3, 20 p., https://doi.org/10.14509/30439.","productDescription":"20 p.","ipdsId":"IP-118468","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":456189,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/30439","text":"Publisher Index Page"},{"id":377346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Eastern Alaska Range, Talkeetna Mountains, Tok River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -148.2275390625,\n              61.66902436927201\n            ],\n            [\n              -141.9873046875,\n              61.66902436927201\n            ],\n            [\n              -141.9873046875,\n              63.6267446447533\n            ],\n            [\n              -148.2275390625,\n              63.6267446447533\n            ],\n            [\n              -148.2275390625,\n              61.66902436927201\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":795413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sicard, Karri R. 0000-0003-4062-8030","orcid":"https://orcid.org/0000-0003-4062-8030","contributorId":219210,"corporation":false,"usgs":false,"family":"Sicard","given":"Karri","email":"","middleInitial":"R.","affiliations":[],"preferred":true,"id":795414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twelker, Evan","contributorId":178306,"corporation":false,"usgs":false,"family":"Twelker","given":"Evan","email":"","affiliations":[],"preferred":false,"id":795415,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211371,"text":"70211371 - 2020 - The Great Acceleration of fragrances and PAHs archived in an ice core from Elbrus, Caucasus","interactions":[],"lastModifiedDate":"2020-07-29T13:33:47.417817","indexId":"70211371","displayToPublicDate":"2020-06-30T12:02:01","publicationYear":"2020","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":"The Great Acceleration of fragrances and PAHs archived in an ice core from Elbrus, Caucasus","docAbstract":"<p style=\"text-align: justify;\" data-mce-style=\"text-align: justify;\">The Great Acceleration of the anthropogenic impact on the Earth system is marked by the ubiquitous distribution of anthropogenic materials throughout the global environment, including technofossils, radionuclides and the exponential increases of methane and carbon dioxide concentrations. However, personal care products as direct tracers of human domestic habits are often overlooked. Here, we present the first research combining fragrances, as novel personal care products, and Polycyclic Aromatic Hydrocarbons (PAHs) as combustion and industrial markers, across the onset of the Great Acceleration in the Elbrus, Caucasus, ice core. This archive extends from the 1930s to 2005, spanning the profound changes in the relationship between humans and the environment during the 20th century. Concentrations of both fragrances and PAHs rose throughout the considered period, reflecting the development of the Anthropocene. However, within this rising trend, remarkable decreases of the tracers track the major socioeconomic crises that occurred in Eastern Europe during the second half of the 20th century.</p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-020-67642-x","usgsCitation":"Vecchiato, M., Gambaro, A., Kehrwald, N., Ginot, P., Kutuzov, S., Mikhalenko, V., and Barbante, C., 2020, The Great Acceleration of fragrances and PAHs archived in an ice core from Elbrus, Caucasus: Scientific Reports, v. 10, 10661, 10 p., https://doi.org/10.1038/s41598-020-67642-x.","productDescription":"10661, 10 p.","ipdsId":"IP-109673","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":456192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-67642-x","text":"Publisher Index Page"},{"id":376783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Georgia","otherGeospatial":"Mt. Elbrus, Caucasus","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              40.58898925781251,\n              42.96848221128033\n            ],\n            [\n              41.748046875,\n              41.840920397579936\n            ],\n            [\n              45.703125,\n              41.713930073371294\n            ],\n            [\n              45.86791992187499,\n              42.48830197960227\n            ],\n            [\n              42.9290771484375,\n              43.177141346631714\n            ],\n            [\n              40.58898925781251,\n              43.241201214257885\n            ],\n            [\n              40.58898925781251,\n              42.96848221128033\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2020-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Vecchiato, Marco","contributorId":207233,"corporation":false,"usgs":false,"family":"Vecchiato","given":"Marco","email":"","affiliations":[{"id":37489,"text":"University of Venice, Ca' Foscari","active":true,"usgs":false}],"preferred":false,"id":794069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gambaro, Andrea","contributorId":205873,"corporation":false,"usgs":false,"family":"Gambaro","given":"Andrea","email":"","affiliations":[{"id":37181,"text":"Department of Environmental Science, Informatics and Statistics, Ca' Foscari University of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":794070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kehrwald, Natalie 0000-0002-9160-2239","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":220636,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":794071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ginot, Patrick","contributorId":229852,"corporation":false,"usgs":false,"family":"Ginot","given":"Patrick","email":"","affiliations":[{"id":41821,"text":"Universite Grenoble Alpes, IRD, CNRS, Observatoire des Sciences de l'Univers de Grenoble, Grenoble, 38400, France","active":true,"usgs":false}],"preferred":false,"id":794072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kutuzov, Stanislav","contributorId":229853,"corporation":false,"usgs":false,"family":"Kutuzov","given":"Stanislav","email":"","affiliations":[{"id":41822,"text":"Institute of Geography, Russian Academy of Sciences, Moscow, 119017, Russia","active":true,"usgs":false}],"preferred":false,"id":794073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mikhalenko, Vladimir","contributorId":195046,"corporation":false,"usgs":false,"family":"Mikhalenko","given":"Vladimir","email":"","affiliations":[],"preferred":false,"id":794074,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barbante, Carlo","contributorId":202632,"corporation":false,"usgs":false,"family":"Barbante","given":"Carlo","email":"","affiliations":[{"id":36503,"text":"Department of Environmental Sciences, Infomatics, and Statistics, Ca'Foscari University of Venice, Via Torino 155, 30172 Mestre (VE), Italy","active":true,"usgs":false}],"preferred":false,"id":794075,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70214075,"text":"70214075 - 2020 - Planetary science decadal survey planetary mission concept study report: Ceres: Exploration of Ceres’ habitability","interactions":[],"lastModifiedDate":"2020-09-22T15:59:04.00305","indexId":"70214075","displayToPublicDate":"2020-06-30T10:41:56","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Planetary science decadal survey planetary mission concept study report: Ceres: Exploration of Ceres’ habitability","docAbstract":"<p>Dwarf planet Ceres is a compelling target as an evolved ocean world with, at least, regional brine reservoirs and potentially ongoing geological activity. As the most water-rich body in the inner solar system (in relative abundance), it is a representative of the population of planetesimals that brought volatiles and organics to the inner solar system. Situated in the Main Belt of asteroids, Ceres is accessible enough for a sample return with the resources of a typical medium-class (New Frontiers) NASA mission. Under the Discovery program, Dawn explored Ceres from 2015 to 2018. The extensive dataset revealed the presence of liquid, brine-driven activity, organic matter, and a rich salt chemistry. With this evidence, the overarching goals of the mission concept presented herein are to quantify Ceres’ current habitability potential and origin.</p>","language":"English","publisher":"NASA","usgsCitation":"Castillo-Rogez, J.C., Brody, J., Bland, M.T., Buczkowski, D., Grimm, R., Hendrix, A., Miller, K., Prettyman, T., Quick, L., Raymond, C., Scully, J., Sori, M.M., Sekine, Y., Williams, D., and Zolensky, M., 2020, Planetary science decadal survey planetary mission concept study report: Ceres: Exploration of Ceres’ habitability: Cooperator Report, 360 p.","productDescription":"360 p.","ipdsId":"IP-120108","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":378672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378651,"type":{"id":15,"text":"Index Page"},"url":"https://science.nasa.gov/science-red/s3fs-public/atoms/files/Exploration%20of%20Ceres%20Habitability.pdf"}],"otherGeospatial":"Ceres","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":799381,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Castillo-Rogez, J. C.","contributorId":177375,"corporation":false,"usgs":false,"family":"Castillo-Rogez","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":799378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brody, John","contributorId":241031,"corporation":false,"usgs":false,"family":"Brody","given":"John","email":"","affiliations":[{"id":41027,"text":"NASA JPL/CalTech","active":true,"usgs":false}],"preferred":false,"id":799379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":799380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buczkowski, Debra","contributorId":177352,"corporation":false,"usgs":false,"family":"Buczkowski","given":"Debra","affiliations":[],"preferred":false,"id":799428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grimm, Robert","contributorId":241052,"corporation":false,"usgs":false,"family":"Grimm","given":"Robert","affiliations":[],"preferred":false,"id":799429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hendrix, A.","contributorId":88218,"corporation":false,"usgs":true,"family":"Hendrix","given":"A.","affiliations":[],"preferred":false,"id":799430,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Kelly","contributorId":241053,"corporation":false,"usgs":false,"family":"Miller","given":"Kelly","email":"","affiliations":[],"preferred":false,"id":799431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prettyman, Thomas","contributorId":196620,"corporation":false,"usgs":false,"family":"Prettyman","given":"Thomas","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":799432,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Quick, Lynnae","contributorId":238473,"corporation":false,"usgs":false,"family":"Quick","given":"Lynnae","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":799433,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Raymond, Carol","contributorId":113907,"corporation":false,"usgs":true,"family":"Raymond","given":"Carol","affiliations":[],"preferred":false,"id":799434,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Scully, Jennifer","contributorId":241054,"corporation":false,"usgs":false,"family":"Scully","given":"Jennifer","affiliations":[],"preferred":false,"id":799435,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sori, Michael M.","contributorId":173342,"corporation":false,"usgs":false,"family":"Sori","given":"Michael","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":799436,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sekine, Yasuhito","contributorId":241055,"corporation":false,"usgs":false,"family":"Sekine","given":"Yasuhito","email":"","affiliations":[],"preferred":false,"id":799437,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Williams, David","contributorId":33989,"corporation":false,"usgs":true,"family":"Williams","given":"David","affiliations":[],"preferred":false,"id":799438,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zolensky, Michael","contributorId":241056,"corporation":false,"usgs":false,"family":"Zolensky","given":"Michael","email":"","affiliations":[],"preferred":false,"id":799439,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70222472,"text":"70222472 - 2020 - 2023 Coastal master plan: Model improvement plan, ICM-wetlands, vegetation, and soil","interactions":[],"lastModifiedDate":"2021-09-08T15:43:58.264089","indexId":"70222472","displayToPublicDate":"2020-06-30T10:39:28","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":9334,"text":"Coastal Master Plan","active":true,"publicationSubtype":{"id":4}},"title":"2023 Coastal master plan: Model improvement plan, ICM-wetlands, vegetation, and soil","docAbstract":"<p>As part of the model improvement effort for the 2023 Coastal Master Plan, the wetland processes captured by the morphology and vegetation models used during previous master plans were reevaluated to assess how Integrated Compartment Model (ICM) subroutines could be improved. This process considered technical reviews, comments, and suggested improvements provided by model developers, advisory groups, and other experts during previous master plan cycles. The availability of new data and information that could be used to make model improvements was also considered. In many cases, the team considered and tested multiple options or approaches. As a result of this effort, recommended improvements are provided here. </p><p>The improvements recommended to be included in the 2023 Coastal Master Plan include: adjusting marsh collapse thresholds, refining organic matter accretion calculations, developing an unstructured grid for modeling vegetation, improving flotant marsh and forested wetlands algorithms, creating and applying an updated map of existing vegetation, adjusting model code, and updating the submerged aquatic vegetation (SAV) module. </p><p>This report describes the team’s work through a series of 7 distinct activities to identify and test options for model improvements to ensure the updated ICM used for the 2023 Coastal Master Plan appropriately captures ecological and morphological processes observed in Coastal Louisiana. As appropriate, relevant literature and data are discussed. Test runs to evaluate how changes influence model outputs are also documented. A final list of recommended updates, taking into account consideration of all options and results from test runs, is summarized at the end of the report. A later report will describe the final ICM-LAVegMod and ICM-Morph subroutines for the 2023 Coastal Master Plan, detailing the updates that have been incorporated.</p>","language":"English","publisher":"Coastal Protection and Restoration Authority","usgsCitation":"Baustian, M., Reed, D., Visser, J., Duke-Sylvester, S.M., Snedden, G., Wang, H., DeMarco, K., Foster-Martinez, M.R., Sharp, L.A., McGinnis, T., and Jarrell, E., 2020, 2023 Coastal master plan: Model improvement plan, ICM-wetlands, vegetation, and soil: Coastal Master Plan, 155 p.","productDescription":"155 p.","ipdsId":"IP-117713","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":388949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":388947,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://coastal.la.gov/wp-content/uploads/2021/04/ICM-Wetlands-Veg-Soils-Model-Improvement-Report_June2020.pdf"},{"id":387563,"type":{"id":15,"text":"Index Page"},"url":"https://coastal.la.gov/our-plan/2023-coastal-master-plan/technical-resources/"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.5660400390625,\n              30.206861065952626\n            ],\n            [\n              -89.8736572265625,\n              30.760718908944472\n            ],\n            [\n              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Jenneke","contributorId":145631,"corporation":false,"usgs":false,"family":"Visser","given":"Jenneke","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":820160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duke-Sylvester, Scott M.","contributorId":175470,"corporation":false,"usgs":false,"family":"Duke-Sylvester","given":"Scott","email":"","middleInitial":"M.","affiliations":[{"id":12987,"text":"Department of Biology, University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":820161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Snedden, Gregg 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":222172,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research 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,{"id":70211312,"text":"70211312 - 2020 - Quality Assurance Project Plan: Status and trends monitoring of small streams in the Puget Lowlands ecoregion for Stormwater Action Monitoring (SAM)","interactions":[],"lastModifiedDate":"2020-07-23T15:38:49.303701","indexId":"70211312","displayToPublicDate":"2020-06-30T10:30:57","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Quality Assurance Project Plan: Status and Trends Monitoring of Small Streams in the Puget Lowlands Ecoregion for Stormwater Action Monitoring (SAM)","title":"Quality Assurance Project Plan: Status and trends monitoring of small streams in the Puget Lowlands ecoregion for Stormwater Action Monitoring (SAM)","docAbstract":"This Quality Assurance Project Plan (QAPP) details a long term status and trends monitoring study for small streams in the Puget Lowland as part of Stormwater Action Monitoring (SAM) program. SAM is the regional stormwater monitoring program funded by the Phase I Municipal Stormwater permit and the Western Washington Phase II Municipal Stormwater permit permittees.\n\nThis study of small streams in the Puget Lowland Ecoregion (called Puget Small Streams, PSS study, or SAM_PSS study hereafter) is designed to answer the question, “Are regional conditions in receiving water quality and biota improving in concert with broad implementation of required stormwater management practices?”\n\nIn 2015, the first round of monitoring evaluated the condition (status) of streams (DeGasperi et al., 2018). Beginning in 2020 and thereafter this study will monitor streams’ changes over time in\nurban, urbanizing and rural areas of the Puget Lowland. \n\nThe PSS will follow the protocols developed for the on-going statewide stream health monitoring\nprogram-Status and Trends Monitoring for Watershed Health and Salmon Recovery (WHSR) for\nphysical habitat, biological measurements, except for minor changes to water quality parameters\nto better capture the stormwater-related chemistry signals. In addition this effort will sample\nsieved sediments for stormwater-related chemistry signals.\n\nThis QAPP ensures quality data collection, analysis, reporting and management of the SAM PSS monitoring study","language":"English","publisher":"Washington State Department of Ecology","collaboration":"Washington State Department of Ecology","usgsCitation":"Song, K., and Sheibley, R.W., 2020, Quality Assurance Project Plan: Status and trends monitoring of small streams in the Puget Lowlands ecoregion for Stormwater Action Monitoring (SAM), 58 p.","productDescription":"58 p.","ipdsId":"IP-119398","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":376671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":376656,"type":{"id":15,"text":"Index Page"},"url":"https://fortress.wa.gov/ecy/publications/SummaryPages/2010015.html"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.98046874999999,\n              46.97275640318636\n            ],\n            [\n              -121.9482421875,\n              46.97275640318636\n            ],\n            [\n              -121.9482421875,\n              49.0306652257167\n            ],\n            [\n              -124.98046874999999,\n              49.0306652257167\n            ],\n            [\n              -124.98046874999999,\n              46.97275640318636\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Song, Keunyea 0000-0002-0538-7991","orcid":"https://orcid.org/0000-0002-0538-7991","contributorId":229632,"corporation":false,"usgs":false,"family":"Song","given":"Keunyea","email":"","affiliations":[{"id":25353,"text":"Washington State Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":793729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheibley, Rich W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":3044,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793730,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227732,"text":"70227732 - 2020 - The abundance of Greater Sage-Grouse as a proxy for the abundance of sagebrush-associated songbirds in Wyoming, USA","interactions":[],"lastModifiedDate":"2022-01-27T16:02:26.358497","indexId":"70227732","displayToPublicDate":"2020-06-30T09:57:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The abundance of Greater Sage-Grouse as a proxy for the abundance of sagebrush-associated songbirds in Wyoming, USA","docAbstract":"<p><span>Surrogate-species concepts are prevalent in animal conservation. Such strategies advocate for conservation by proxy, wherein one species is used to represent other taxa to obtain a conservation objective. The efficacy of such approaches has been rarely assessed empirically, but is predicated on concordance between the surrogate and sympatric taxa in distribution, abundance, and ecological requirements. Our objective was to identify whether the abundance of a high-profile umbrella species (Greater Sage-Grouse,&nbsp;</span><i>Centrocercus urophasianus</i><span>, hereafter sage-grouse) was associated with the abundance of six other members of the avian community for which it is presumed to be a surrogate, including three sagebrush-obligate and three sagebrush-associated songbird species. We predicted that sage-grouse abundance would align most closely with the breeding abundance of other sagebrush-obligate birds. We used two different indices of sage-grouse abundance for comparisons: field-collected counts of fecal pellets (primarily indexing abundance in the nonbreeding season) and a spatially explicit index of breeding population size. Neither index of sage-grouse abundance was consistently predictive of co-occurring songbird abundance, with one species more abundant (Horned Lark [</span><i>Eremophila alpestris</i><span>]) and one species less abundant (Vesper Sparrow [</span><i>Pooecetes gramineus</i><span>]) where sage-grouse pellet counts were higher, and no relationship evident between songbird abundance and the spatially explicit sage-grouse population index. Ours is one of few assessments of the efficacy of sage-grouse as a surrogate species to consider abundance, and not habitat overlap alone. We suggest that the utility of sage-grouse as a surrogate species likely varies across spatial scales. Within the scale examined here (10–15 ha sites), however, indices of sage-grouse abundance were unreliable proxies for the abundance of six declining songbird species.</span></p>","language":"English","publisher":"Society of Canadian Ornithologists","doi":"10.5751/ACE-01702-150216","usgsCitation":"Carlisle, J.D., and Chalfoun, A.D., 2020, The abundance of Greater Sage-Grouse as a proxy for the abundance of sagebrush-associated songbirds in Wyoming, USA: Avian Conservation and Ecology, v. 15, no. 2, 16, 27 p., https://doi.org/10.5751/ACE-01702-150216.","productDescription":"16, 27 p.","ipdsId":"IP-087232","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":456195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-01702-150216","text":"Publisher Index Page"},{"id":394974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.51171875,\n              41.261291493919884\n            ],\n            [\n              -107.70996093749999,\n              41.261291493919884\n            ],\n            [\n              -107.70996093749999,\n              42.601619944327965\n            ],\n            [\n              -109.51171875,\n              42.601619944327965\n            ],\n            [\n              -109.51171875,\n              41.261291493919884\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carlisle, Jason D.","contributorId":272319,"corporation":false,"usgs":false,"family":"Carlisle","given":"Jason","email":"","middleInitial":"D.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":831947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":831946,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70213133,"text":"70213133 - 2020 - Petrophysical and geomechanical properties of gas hydrate-bearing sediments recovered from Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well","interactions":[],"lastModifiedDate":"2020-09-10T15:01:33.235696","indexId":"70213133","displayToPublicDate":"2020-06-30T09:48:59","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Petrophysical and geomechanical properties of gas hydrate-bearing sediments recovered from Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well","docAbstract":"Knowledge of petrophysical and geomechanical properties of gas hydrate-bearing sediments are essential for predicting reservoir responses to gas production. The same information is also needed for the designing of production well completions such as specifications for artificial lift, test site water storage capacity, and mesh size for the sand control systems. In December 2018, the Stratigraphic Test Well Hydrate-01 was drilled in the western part of the Prudhoe Bay Unit on the Alaska North Slope as part of the technical planning effort for a future long-term production test being planned and led by a collaborative team from the U.S. Department of Energy - National Energy Technology Laboratory (DOE-NETL), U.S. Geological Survey (USGS), and Japan’s Research and Development Consortium for Pore Filling Hydrate in Sand (MH21-S) (Boswell et al., 2020, Collett et al., 2020, Okinaka et al., 2020). Logging-while-drilling (LWD) data were acquired (Haines et al., 2020, Suzuki et al., 2019) and sidewall core sampling depths were selected from the LWD logs. Sidewall pressure coring was conducted to recover gas hydrate-bearing sediments from two reservoir sections named Unit B and Unit D. A total of 34 cores were successfully recovered by 5 runs of a wireline deployed pressure coring system (CoreVault® System - Halliburton). The core analysis plan for this project is shown in Figure 1. Upon recovery, the pressure core autoclaves were transported from the Alaska North Slope to the Stratum Reservoir laboratory in Anchorage Alaska.  To access the cores, they were first quenched in liquid nitrogen while still at high pressure in the core system autoclaves (Figure 1a). The cores were next removed from the pressure corer autoclaves with temperature control support from dry ice and stored under liquid nitrogen at atmospheric pressure. A total of 19 disturbed low-quality cores were processed for index property measurements, which included grain size and grain density analysis. Another 4 core samples were depressurized, trimmed, and core plugs were cut from each core and used to measure intrinsic permeabilities of host sediments (Figure 1). Unsteady-state permeability measurements were conducted on two samples to obtain relative water permeability (Rel.-Perm.) to gas and core scale Nuclear Magnetic Resonance (NMR) transverse relaxation time (T2) distribution measurements were performed to evaluate pore size distribution (Figure 1b). A total of 13 remaining high-quality cores with significant gas hydrate concentrations were preserved for advanced laboratory analysis. The National Institute of Advanced Industrial Science and Technology, as a part of the Japanese National Hydrate Research Program (MH21-S, funded by Ministry of Economy, Trade and Industry), received the 13 remaining high-quality core samples at their laboratories in Sapporo, Japan for advanced core analysis. High-resolution X-ray computed tomography (CT) was used to analyze the physical characteristics of the samples, which showed for the most part undisturbed lithological layers. Cores were lathed into cylindrical shapes and prepared for multi property measurements (Figure 1c). As a result, sediment from Unit D was characterized as silty-sand at ~37% porosity with ~80% gas hydrate saturation. An average hydration number n = 6.16 was measured for the recovered gas hydrate samples by Raman spectroscopy. An average intrinsic permeability of ~400 mD and in situ effective permeability (with hydrate) on the order of ~10 mD was measured for a total of five core samples. The Unit B recovered cores consisted of well sorted sand at ~40% porosity with ~95% gas hydrate saturation. An average intrinsic permeability of ~1 Darcy and in situ effective permeability on the order of ~30 mD was measured for the Unit B cores. Additional laboratory measurements yielded small permeability reductions due to porosity loss with increasing effective stress that simulated sediment consolidation along with depressurization in the highly permeable sandy sediment. The apparent limited change in porosity and permeability may be caused by the low compressibility of quartz sand grains in the recovered cores. X-ray diffraction (XRD) and thermal conductivity analysis also indicated a high quartz content within the recovered cores. Completed triaxial compression tests established internal friction angles based on the Mohr-Coulomb's failure criterion, which were calculated at 40° for hydrate-bearing sediment and 29.8° for hydrate free sediment.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 10th international conference on gas hydrates (ICGH10)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th International Conference on Gas Hydrates (ICGH10)","conferenceDate":"Jun 21-26, 2020","conferenceLocation":"Singapore","language":"English","publisher":"US Department of Energy – NETL Program","usgsCitation":"Yoneda, J., Jin, Y., Muraoka, M., Oshima, M., Suzuki, K., Walker, M., Westacott, D., Otsuki, S., Kumagai, K., Collett, T., Boswell, R., and Okinaka, N., 2020, Petrophysical and geomechanical properties of gas hydrate-bearing sediments recovered from Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well, <i>in</i> Proceedings of the 10th international conference on gas hydrates (ICGH10), Singapore, Jun 21-26, 2020, 2 p.","productDescription":"2 p.","ipdsId":"IP-115398","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":378313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378292,"type":{"id":15,"text":"Index Page"},"url":"https://www.netl.doe.gov/node/10037"}],"country":"United States","state":"Alaska","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              68.2042121888185\n            ],\n            [\n              -146.18408203125,\n              68.2042121888185\n            ],\n            [\n              -146.18408203125,\n              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,{"id":70236801,"text":"70236801 - 2020 - Automated extraction of areal extents for GNIS Summit features using the eminence core method","interactions":[],"lastModifiedDate":"2022-09-19T14:49:55.9415","indexId":"70236801","displayToPublicDate":"2020-06-30T09:47:34","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Automated extraction of areal extents for GNIS Summit features using the eminence core method","docAbstract":"<p>An important objective of the U.S. Geological Survey (USGS) is to enhance the Geographic Names Information System (GNIS) by automatically associating boundaries with terrain features that are currently spatially represented as two-dimensional points. In this paper, the discussion focuses on experiments for mapping GNIS <i>Summit</i> features using the eminence core region-growing method, which maps the area between a peak and its key col (saddle). A secondary goal of this project is to improve the positional accuracy of GNIS <i>Summit</i> features, since those locations were derived long ago and need to be snapped to local morphometric peaks detected from analysis of the highest-resolution digital elevation models (DEMs). The eminence cores delineated for a subset of GNIS <i>Summit</i> features were compared visually against basemaps and manually digitized polygons created by USGS staff. The comparisons revealed substantial differences between the computationally derived eminence cores and the manually generated polygons. Results clearly suggest that the default core delineation method tested must be modified to “roll back” or truncate growth of unreasonably large cores to smaller extents that would match people’s intuitive expectations. However, these results are far more encouraging than any method tested previously, since this method guarantees a 1-1 correspondence between polygons and GNIS <i>Summit</i> features. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of geomorphometry 2020","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geomorphetry 2020","conferenceDate":"June 22-26, 2020","conferenceLocation":"Perugia, Italy","language":"English","doi":"10.30437/GEOMORPHOMETRY2020_10","usgsCitation":"Sinha, G., and Arundel, S., 2020, Automated extraction of areal extents for GNIS Summit features using the eminence core method, <i>in</i> Proceedings of geomorphometry 2020, Perugia, Italy, June 22-26, 2020, p. 38-41, https://doi.org/10.30437/GEOMORPHOMETRY2020_10.","productDescription":"4 p.","startPage":"38","endPage":"41","ipdsId":"IP-116570","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":406960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sinha, Gaurav","contributorId":220051,"corporation":false,"usgs":false,"family":"Sinha","given":"Gaurav","email":"","affiliations":[{"id":12807,"text":"Ohio University","active":true,"usgs":false}],"preferred":false,"id":852202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":852203,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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