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Since water-year (WY) 2011, pool levels at Fall Creek Lake, Oregon, are temporarily lowered to an elevation near historical streambed each fall, creating free-flowing channel conditions that facilitate downstream passage of juvenile spring Chinook salmon. These drawdown operations have also mobilized substantial quantities of predominantly fine (<2 mm) reservoir sediment as well as some coarser gravels. To assess the potential impact of reservoir sediment erosion and transport on downstream reach morphology and habitats, linkages between reservoir sedimentation in Fall Creek Lake and drawdown-related reservoir erosion are inferred from geomorphic mapping and volumetric change analyses developed from high resolution aerial photographs and digital elevation models of the empty reservoir. Recent and historical drawdown operations have helped maintain a thalweg in much of Fall Creek Lake, constraining most coarse-grained sediment transport and re-deposition, whereas fine-grained deposition has mainly occurred on the former floodplain and lowermost reservoir reaches. Fine-grained sediment deposits are thickest and bury pre-dam morphology immediately upstream of the dam where they are accessible to fluvial erosion during streambed drawdown operations. Farther from the dam, where pre-dam morphology has not been buried, erosion is limited to sediment accumulation in the reservoir thalweg and minor tributary and ‘drawdown’ channels. In former floodplain regions of the reservoir not adjacent to the thalweg, thicker sediment deposits are inaccessible to fluvial erosion at full streambed drawdown. Altogether, these findings highlight controls on patterns and processes of reservoir erosion during drawdowns. This understanding of long-term sedimentation and streambed-drawdown erosion at Fall Creek Lake allows better evaluation and anticipation of the timing, magnitude, and sediment characteristics delivered to downstream reaches.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Keith, M.K., and Stratton, L., 2019, Linking sedimentation and erosion patterns with reservoir morphology and dam operations during streambed drawdowns in a flood-control reservoir in the Oregon Cascades, in Proceedings of SEDHYD 2019, v. 3, Reno, NV, June 24-28, 2019, 11 p.","productDescription":"11 p.","ipdsId":"IP-104720","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":369932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369931,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"}],"country":"United States","state":"Oregon","otherGeospatial":"Fall Creek Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.76088714599608,\n 43.92336814487696\n ],\n [\n -122.65205383300781,\n 43.92336814487696\n ],\n [\n -122.65205383300781,\n 43.97922818610027\n ],\n [\n -122.76088714599608,\n 43.97922818610027\n ],\n [\n -122.76088714599608,\n 43.92336814487696\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keith, Mackenzie K. 0000-0002-7239-0576 mkeith@usgs.gov","orcid":"https://orcid.org/0000-0002-7239-0576","contributorId":196963,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie","email":"mkeith@usgs.gov","middleInitial":"K.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stratton, Laurel E. 0000-0001-8567-8619","orcid":"https://orcid.org/0000-0001-8567-8619","contributorId":215056,"corporation":false,"usgs":true,"family":"Stratton","given":"Laurel E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761526,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204776,"text":"fs20193045 - 2019 - Assessment of continuous oil and gas resources in the niobrara interval of the Cody Shale, Bighorn Basin Province, Wyoming and Montana, 2019","interactions":[],"lastModifiedDate":"2019-11-20T06:22:35","indexId":"fs20193045","displayToPublicDate":"2019-09-30T17:10:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3045","title":"Assessment of continuous oil and gas resources in the niobrara interval of the Cody Shale, Bighorn Basin Province, Wyoming and Montana, 2019","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 534 million barrels of oil and 939 billion cubic feet of gas in the Niobrara interval of the Cody Shale in the Bighorn Basin Province, Wyoming and Montana.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193045","usgsCitation":"Finn, T.M., Schenk, C.J., Mercier, T.J., Tennyson, M.E., Le, P.A., Brownfield, M.E., Marra, K.R., Leathers-Miller, H.M., Drake, R.M., II, Woodall, C.A., Pitman, J.K., Ellis, G.S., and Kinney, S.A., 2019, Assessment of continuous oil and gas resources in the Niobrara interval of the Cody Shale, Bighorn Basin Province, Wyoming and Montana, 2019: U.S. Geological Survey Fact Sheet 2019–3045, 2 p., https://doi.org/10.3133/fs20193045.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"N","ipdsId":"IP-108989","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":437319,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N01F7H","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Bighorn Basin Province, Niobrara Formation Assessment Units and Input Data Forms"},{"id":367793,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3045/coverthb.jpg"},{"id":369124,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N01F7H ","text":"USGS data release","description":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Bighorn Basin Province, Niobrara Formation Assessment Units and Input Data Forms"},{"id":367794,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3045/fs20193045.pdf","text":"Report","size":"800 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3045"}],"country":"United States","state":"Wyoming, Montana ","otherGeospatial":"Bighorn Basin Province ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.07177734375,\n 43.58039085560784\n ],\n [\n -107.46826171874998,\n 43.58039085560784\n ],\n [\n -107.46826171874998,\n 45.90529985724799\n ],\n [\n -111.07177734375,\n 45.90529985724799\n ],\n [\n -111.07177734375,\n 43.58039085560784\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-09-30","noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":768447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":771914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":176582,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn","email":"tennyson@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":771915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":771916,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768453,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drake, Ronald M. II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768454,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768455,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":771917,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768457,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":771918,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70195231,"text":"70195231 - 2019 - International Organizations and Programs for Wildlife Conservation","interactions":[],"lastModifiedDate":"2019-12-06T16:47:18","indexId":"70195231","displayToPublicDate":"2019-09-30T16:41:31","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"International Organizations and Programs for Wildlife Conservation","docAbstract":"Historically, private non-governmental entities in the developed world took interest in wildlife in developing nations. Nineteenth and early twentieth century explorers of Africa, Asia, and South America reported fascinating encounters with magnificent species that were previously cryptic or unknown (Robinson et al. 2017). Organizations such as the Royal Geographical Society in the United Kingdom, a sponsor of Charles Darwin’s expedition, the Boone and Crockett Club in North America, and numerous museums in the United States and Europe, sponsored chronicled expeditions to remote places under the goal of discovery and collection. \n\tConcurrent with the quest for discovery of wild places and species new to science was the drive to find and secure timber, mineral, energy, and other resources to fuel the growing demands of development brought on by the Industrial Revolution (Lucas 2009, Stearns 2013). This led to exploitation, and overexploitation, which led to growing concerns over the loss of species, including species not yet known to western science. During the latter half of the twentieth century, in response to these concerns, private non-governmental organizations formed to promote conservation through science, advocacy, and technical assistance. These organizations vary from working independently, to forming collaborations across the public and private sphere. Our objective in this chapter is to outline some of the major conventions, major organizations, and programs that promote engagement in wildlife conservation and management at the international level.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International wildlife management: Conservation challenges in a changing world","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","usgsCitation":"Organ, J.F., Medina-Vogel, G., and Yoshida, T., 2019, International Organizations and Programs for Wildlife Conservation, chap. 14 of International wildlife management: Conservation challenges in a changing world, p. 186-197.","productDescription":"12 p.","startPage":"186","endPage":"197","ipdsId":"IP-092293","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":370071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":370070,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://jhupbooks.press.jhu.edu/title/international-wildlife-management"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":727540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medina-Vogel, Gonzalo","contributorId":221069,"corporation":false,"usgs":false,"family":"Medina-Vogel","given":"Gonzalo","email":"","affiliations":[],"preferred":false,"id":776898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yoshida, T.","contributorId":107225,"corporation":false,"usgs":true,"family":"Yoshida","given":"T.","email":"","affiliations":[],"preferred":false,"id":776899,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195571,"text":"70195571 - 2019 - Restoration of Lake Trout in Lake Superior through Interagency Cooperative Management","interactions":[],"lastModifiedDate":"2019-12-06T16:31:45","indexId":"70195571","displayToPublicDate":"2019-09-30T16:30:58","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Restoration of Lake Trout in Lake Superior through Interagency Cooperative Management","docAbstract":"The lake trout is a keystone species in the Laurentian Great Lakes that supported valuable fisheries throughout the basin. However, lake trout populations declined to near extirpation in nearly all of the lakes because of the combined effects of over-fishing, sea lamprey predation, and habitat degradation. To restore self-sustaining lake trout populations in Lake Superior, state, provincial, federal, and tribal agencies agreed to an interjurisdictional management framework that allowed them to articulate and institute: (1) clear and common goals and actions for recovery; (2) early and intensive lake-wide stocking of hatchery-reared lake trout to enhance failing stocks; (3) early and effective lake-wide controls on mortality caused by sea lampreys and fisheries; and (4) standardized lake-wide evaluations of population trajectories and performance. Stocking was initiated in Lake Superior in 1950 and expanded after 1953, prior to effecting sea lamprey or fishery controls, thereby introducing large numbers of hatchery-origin fish that grew to maturity shortly after mortality was reduced. Abundant suitable nearshore spawning habitat was widely available for naïve lean hatchery-origin lake trout, and native lean lake trout persisted in some areas. The sea-lamprey-selective pesticide TFM (3-trifluoromethyl-4-nitrophenol) was applied first in Lake Superior in 1958, because of the presence of remnant native lake trout populations, which set the stage for closure of fisheries and good survival of newly stocked and remnant wild fish. As a consequence of these four factors, stocked fish exceeded historical density of wild fish by the 1980s in many areas, and thereby generated enhanced reproductive potential when combined with remnant wild fish. 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]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bronte, Charles R.","contributorId":190727,"corporation":false,"usgs":false,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":729327,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205422,"text":"ofr20191100 - 2019 - Anderson Ranch wetlands hydrologic characterization in Taos County, New Mexico","interactions":[],"lastModifiedDate":"2019-10-03T14:08:15","indexId":"ofr20191100","displayToPublicDate":"2019-09-30T15:57:27","publicationYear":"2019","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":"2019-1100","displayTitle":"Anderson Ranch Wetlands Hydrologic Characterization in Taos County, New Mexico","title":"Anderson Ranch wetlands hydrologic characterization in Taos County, New Mexico","docAbstract":"

The Anderson Ranch property (study area), located in Taos County, north-central New Mexico, was transferred from Chevron Mining, Inc. (CMI) to the Bureau of Land Management (BLM) as part of a Natural Resource Damage Assessment and Restoration (NRDAR) court-ordered settlement. The study area supports freshwater emergent wetlands and freshwater ponds. The settlement states that CMI will provide the land and a monetary settlement to support the restoration of the wetlands on the property. To best manage the study area, the BLM requires an understanding of potential effects of climate variability and groundwater withdrawals on the wetland function. This study, completed by the U.S. Geological Survey in cooperation with the BLM, provides an initial hydrologic characterization of the study area, which included literature review, collection of groundwater-level and aqueous-chemistry data, completion of a vegetation survey, and preliminary data analysis. The data compiled, collected, and analyzed as part of this study indicate that the wetlands within the study area are groundwater fed and that the water maintaining the wetlands is modern. Surface-water levels in the pond and groundwater levels in the surrounding wetland fluctuate seasonally. The hydraulic gradient in the study area is from northeast to southwest. Evapotranspiration is a main driver of water demand within the study area.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191100","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Galanter, A.E., Shephard, Z.M., and Herrera-Olivas, P., 2019, Anderson Ranch wetlands hydrologic characterization in Taos County, New Mexico: U.S. Geological Survey Open-File Report 2019–1100, 42 p., https://doi.org/10.3133/ofr20191100. ","productDescription":"iii, 42 p. ","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-109765","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":367755,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1100/coverthb.jpg"},{"id":367756,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1100/ofr20191100.pdf","text":"Slide Presentation","size":"9.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1100"}],"country":"United States ","state":"New Mexico ","county":"Taos 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Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE, Suite B
Albuquerque, NM 87113

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-09-30","noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Galanter, Amy E. 0000-0002-2960-0136","orcid":"https://orcid.org/0000-0002-2960-0136","contributorId":219038,"corporation":false,"usgs":true,"family":"Galanter","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shephard, Zachary M. 0000-0003-2994-3355","orcid":"https://orcid.org/0000-0003-2994-3355","contributorId":219039,"corporation":false,"usgs":true,"family":"Shephard","given":"Zachary","email":"","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrera-Olivas, Pamela","contributorId":219040,"corporation":false,"usgs":false,"family":"Herrera-Olivas","given":"Pamela","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":771116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205607,"text":"70205607 - 2019 - Can geologic factors be predictive for distinguishing between productive and non-productive geothermal wells?","interactions":[],"lastModifiedDate":"2019-12-02T15:07:45","indexId":"70205607","displayToPublicDate":"2019-09-30T15:06:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Can geologic factors be predictive for distinguishing between productive and non-productive geothermal wells?","docAbstract":"Geologic data are examined to evaluate whether certain geologic characteristics occur in higher abundance or higher magnitude along production geothermal wells relative to non-productive wells. We perform 3D geologic mapping, 3D stress modeling, and fault-slip modeling to estimate fourteen different geologic factors that are hypothesized to control or correlate with well productivity. The geologic factors are; heat, fault-damage zone thickness, distance from active faults, fault intersection/termination density, fault curvature, slip tendency of faults, dilation tendency of faults, dilation resulting from modeled fault slip, normal stress reduction resulting from modeled fault slip, Coulomb shear stress increase resulting from modeled fault slip, the summed thickness of ‘favorable’ lithologies within a borehole, the summed thickness of fault damage zones in favorable lithologies within a borehole, the distance along the borehole to the nearest geologic contact, and the thickness of individual stratigraphic units. These geologic factors are quantified along fifty wells at Brady geothermal system, including twelve production wells and thirty-one non-productive wells. Results indicate that geologic factors such as stress changes associated with faulting, nearness to and thickness of fault zones, distance from geologic contacts, and heat occur in higher magnitude or higher abundance along production wells relative to non-productive wells. These geologic factors may play an important role in controlling the locations and distribution of fluid circulation in geothermal fields.","language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Siler, D.L., Burns, E.R., and Faulds, J.E., 2019, Can geologic factors be predictive for distinguishing between productive and non-productive geothermal wells?: Geothermal Resources Council Transactions, v. 43, p. 884-901.","productDescription":"8 p.","startPage":"884","endPage":"901","ipdsId":"IP-108708","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":369828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369827,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034178"}],"volume":"43","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":771830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulds, James E","contributorId":218147,"corporation":false,"usgs":false,"family":"Faulds","given":"James","email":"","middleInitial":"E","affiliations":[{"id":39739,"text":"Nevada Bureau of Mines and Geology, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":771832,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205774,"text":"70205774 - 2019 - Integration of eDNA-based biological monitoring within the US Geological Survey’s national streamgage network","interactions":[],"lastModifiedDate":"2020-01-03T10:02:21","indexId":"70205774","displayToPublicDate":"2019-09-30T14:14:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Integration of eDNA-based biological monitoring within the US Geological Survey’s national streamgage network","docAbstract":"

This study explores the feasibility and utility of integrating environmental DNA (eDNA) assessments of species occurrences into the United States (U.S.) Geological Survey’s national streamgage network. We used an existing network of five gages in southwest Idaho to explore the type of information that could be gained as well as the associated costs and limitations. Hydrologic technicians were trained in eDNA sampling protocols and they collected samples during routine monthly visits to streamgages over an entire water year (2016). We analyzed the eDNA in the filtered water samples to determine the presence of two fish species: bull trout and rainbow trout. We then modeled the spatiotemporal distribution of each species using discharge and temperature data. To assess the influence of the spatial distribution of the gages on the biological information obtained, we also collected eDNA samples from locations between the gages three times during the water year. We found eDNA monitoring at the five gages provided meaningful information about the distribution of both species, especially when detection probabilities accounted for variations in temperature and discharge. Sampling between the gages provided additional information about bull trout distribution — the rarer of the two species. Our study suggests the integration of eDNA sampling into a streamgage network is feasible and could provide a novel and powerful source of biological information for riverine ecosystems in the U.S.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12800","usgsCitation":"Pilliod, D.S., Laramie, M., McCoy, D., and Maclean, S., 2019, Integration of eDNA-based biological monitoring within the US Geological Survey’s national streamgage network: Journal of the American Water Resources Association, v. 55, no. 6, p. 1505-1518, https://doi.org/10.1111/1752-1688.12800.","productDescription":"14 p.","startPage":"1505","endPage":"1518","numberOfPages":"14","ipdsId":"IP-104039","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":459688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12800","text":"Publisher Index Page"},{"id":367934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Nebraska ","otherGeospatial":"Bruneau–Jarbidge Rivers watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.26281738281249,\n 41.32732632036622\n ],\n [\n -114.87854003906249,\n 41.32732632036622\n ],\n [\n -114.87854003906249,\n 42.46399280017058\n ],\n [\n -116.26281738281249,\n 42.46399280017058\n ],\n [\n -116.26281738281249,\n 41.32732632036622\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":772287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laramie, Matthew 0000-0001-7820-2583 mlaramie@usgs.gov","orcid":"https://orcid.org/0000-0001-7820-2583","contributorId":152532,"corporation":false,"usgs":true,"family":"Laramie","given":"Matthew","email":"mlaramie@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":772288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCoy, Dorene","contributorId":219452,"corporation":false,"usgs":false,"family":"McCoy","given":"Dorene","email":"","affiliations":[{"id":39997,"text":"Idaho Water Science Center (retired)","active":true,"usgs":false}],"preferred":false,"id":772289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maclean, Scott","contributorId":219453,"corporation":false,"usgs":false,"family":"Maclean","given":"Scott","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":772290,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70213286,"text":"70213286 - 2019 - Benefits and limitations of installing driving surface aggregate at two federal lands sites","interactions":[],"lastModifiedDate":"2020-09-17T18:08:38.670206","indexId":"70213286","displayToPublicDate":"2019-09-30T13:01:59","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Benefits and limitations of installing driving surface aggregate at two federal lands sites","docAbstract":"

The worldwide network of unpaved roads is estimated to include at least 14 million km (8.7 million miles; 1). Although they are vital for local communities, these roads are expensive to maintain and may cause environmental damage through sediment and dust pollution (e.g., 2). Among aggregate-surfaced roads, locally available materials are often used as a surface wearing course, with little or no testing and sometimes no formal specification. The materials vary widely in quality and may deteriorate quickly. As a result, road managers may be forced to increase the frequency of maintenance grading and aggregate replacement to compensate for the poor performance. Improving the quality of surface aggregate on unpaved roads is one strategy for increasing road performance while also reducing environmental impacts. Although higher-quality aggregates require greater up-front investment, they can result in lower overall life-cycle costs by extending road life and reducing maintenance costs.

Driving Surface Aggregate (DSA) is an aggregate specification developed by the Pennsylvania State University Center for Dirt and Gravel Road Studies that is designed to achieve maximum compaction and resist erosion. The gradation of DSA, coupled with recommended optimum moisture and placement guidelines, results in a smoother, more tightly bound surface that preserves fine material rather than allowing it to escape as sediment or dust. In previous studies, DSA has been shown to reduce sediment runoff by 80-90% (3) and dust production by up to 90% (4) compared to existing road surface gradations. Although DSA has been used extensively in the state of Pennsylvania, USA, the specification is almost unknown elsewhere. The objective of this study was to demonstrate the benefits and limitations of DSA when deployed across a wider geographic area. We installed road sections of DSA at two federal lands sites in the eastern United States. Sediment runoff, dust production, and road surface condition on these sections were measured approximately 12 months post-construction. At both sites, DSA reduced sediment runoff by up to 91%, relative to traditional aggregates. At one site in Indiana, DSA also reduced dust production and aggregate loss. At the other site in Vermont, DSA and traditional aggregate sections performed similarly in dust production and road condition. Overall, this study 1) demonstrates that DSA can be an effective and environmentally responsible aggregate choice for unpaved roads, and 2) provides information on site conditions (e.g., roads near headwater streams) under which DSA is likely to be particularly beneficial.

","conferenceTitle":"12th International Conference on Low-Volume Roads","conferenceDate":"Sep 15-18, 2019","conferenceLocation":"Kalispell, MT","language":"English","publisher":"Transportation Research Board","usgsCitation":"Kunz, B.K., Chase, E.H., Bloser, S.M., Kestler, M.A., and Jutz, B., 2019, Benefits and limitations of installing driving surface aggregate at two federal lands sites, 12th International Conference on Low-Volume Roads, Kalispell, MT, Sep 15-18, 2019, p. 262-268.","productDescription":"7 p.","startPage":"262","endPage":"268","ipdsId":"IP-104494","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":378529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378482,"type":{"id":15,"text":"Index Page"},"url":"https://www.trb.org/Publications/Blurbs/179567.aspx"}],"country":"United States","state":"Indiana, Vermont","otherGeospatial":"Green Mountain National Forest, Muscatatuck National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.8887939453125,\n 42.75104599038353\n ],\n [\n -72.7569580078125,\n 43.113014204188914\n ],\n [\n -72.7899169921875,\n 43.393073720674415\n ],\n [\n -72.916259765625,\n 43.492782808225\n ],\n [\n -73.2623291015625,\n 43.33316939281732\n ],\n [\n -73.2952880859375,\n 42.767178634023345\n ],\n [\n -73.23486328124999,\n 42.74701217318067\n ],\n [\n -72.8887939453125,\n 42.75104599038353\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.8193588256836,\n 38.90920161982438\n ],\n [\n -85.77163696289061,\n 38.90920161982438\n ],\n [\n -85.77163696289061,\n 38.97088735291151\n ],\n [\n -85.8193588256836,\n 38.97088735291151\n ],\n [\n -85.8193588256836,\n 38.90920161982438\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kunz, Bethany K. 0000-0002-7193-9336 bkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-7193-9336","contributorId":3798,"corporation":false,"usgs":true,"family":"Kunz","given":"Bethany","email":"bkunz@usgs.gov","middleInitial":"K.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":798945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chase, Eric H.","contributorId":240770,"corporation":false,"usgs":false,"family":"Chase","given":"Eric","email":"","middleInitial":"H.","affiliations":[{"id":48138,"text":"Pennsylvania State Center for Dirt and Gravel Road Studies","active":true,"usgs":false}],"preferred":false,"id":798946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloser, Steve M.","contributorId":240771,"corporation":false,"usgs":false,"family":"Bloser","given":"Steve","email":"","middleInitial":"M.","affiliations":[{"id":48138,"text":"Pennsylvania State Center for Dirt and Gravel Road Studies","active":true,"usgs":false}],"preferred":false,"id":798947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kestler, Maureen A.","contributorId":240772,"corporation":false,"usgs":false,"family":"Kestler","given":"Maureen","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":798948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jutz, Brandon","contributorId":240773,"corporation":false,"usgs":false,"family":"Jutz","given":"Brandon","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":798949,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205084,"text":"sir20195095 - 2019 - Water resources on Guam—Potential impacts of and adaptive response to climate change","interactions":[],"lastModifiedDate":"2019-12-30T11:39:08","indexId":"sir20195095","displayToPublicDate":"2019-09-30T12:48:06","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5095","displayTitle":"Water resources on Guam—Potential impacts of and adaptive response to climate change","title":"Water resources on Guam—Potential impacts of and adaptive response to climate change","docAbstract":"

The goals of this joint U.S. Geological Survey, University of Hawaiʻi, University of Guam, University of Texas, and East-West Center study were to (1) provide basic understanding about water resources for U.S. Department of Defense installations on Guam and (2) assess the resulting effect of sea-level rise and a changing climate on freshwater availability, on the basis of historic information, sea-level rise projections, and global-climate model temperature and rainfall projections. Downscaled regional climate models, informed by a multimodel ensemble of global climate models provided projections of future climate conditions for Guam. These projected climate conditions provided input to surface-water and groundwater models developed for Guam’s hydrology. Guam’s water resources in a future climate condition (2080–99) are projected to diminish relative to the recent climate condition. Projected average temperature increases, and average rainfall decreases will lead to reduced streamflow in southern Guam and reduced groundwater recharge to the Northern Guam Lens Aquifer (NGLA). Projected average temperatures in southern Guam will increase about 5.8 °F (3.22 °C), overall rainfall will decrease about 7 percent, and streamflow will consequently decrease 18 percent in important areas of southern Guam. Similarly, across the NGLA, future groundwater recharge will be 19 percent less than estimated recharge from 2012. Reduced future streamflow will decrease water availability from the Fena Valley Reservoir; however, the reservoir is expected to be able to supply water at recent demand rates without lowering the reservoir level to the elevation of the water-supply intakes throughout the simulated period of a future climate. A twelve-year simulation indicates that the reservoir can supply about twice the 2018 demand without lowering the reservoir level to the water-supply intakes. By following mitigation strategies to increase reservoir water availability, the withdrawal rate can be increased by 1.7 percent if the water-supply intakes are lowered 5 ft, by 3.5 percent if the spillway height is raised 5 ft, and by 5.3 percent if both strategies are combined. Higher sea level and reduced future recharge will decrease water availability from the NGLA. An index of composite chloride concentration from production wells increases to 300 milligrams per liter (mg/L) for future climate conditions and at 2010 withdrawal rates, compared with 130 mg/L under historic climate conditions. Most of this increase is due to reduced recharge as higher (+3.2 ft) sea level only has a small role in increasing withdrawn water salinity. A redistributed withdrawal scenario in which the composite chloride concentration is 290 mg/L offers only slight improvement. Should future droughts reduce recharge proportionally to the decreases observed during historic droughts, the composite concentration would be about 900 mg/L, and more than 70 percent of Guam’s production wells would produce water with a composite concentration greater than 500 mg/L. Potential mitigation strategies for increasing the potable yield of the NGLA in a future climate include reducing depths of deep production wells and reducing the withdrawal rates in selected wells projected to have higher chloride concentrations. Simulations show both strategies are effective in lowering the composite concentration of the withdrawn water.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195095","collaboration":"Prepared in cooperation with the Strategic Environmental Research and Development Program, U.S. Department of Defense","usgsCitation":"Gingerich, S.B., Johnson, A.G., Rosa, S.N., Marineau, M.D., Wright, S.A., Hay, L.E., Widlansky, M.J., Jenson, J.W., Wong, C.I., Banner, J.L., Keener, V.W., and Finucane, M.L., 2019, Water resources on Guam—Potential impacts of and adaptive response to climate change: U.S. Geological Survey Scientific Investigations Report 2019–5095, 55 p., https://doi.org/10.3133/sir20195095.","productDescription":"Report: viii, 55 p.: 3 Data Releases ","numberOfPages":"55","onlineOnly":"Y","ipdsId":"IP-099440","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":367769,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A64801","linkHelpText":"Mean annual water-budget components for Guam for historic (1990–2009) and future (2080–2099) climate conditions"},{"id":367768,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5095/sir20195095.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5095"},{"id":367770,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U34ACT","linkHelpText":"SUTRA model used to evaluate the freshwater flow system for a future (2080–2099) climate on Guam"},{"id":367771,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90S1CSX","linkHelpText":"Southern Guam watershed model and Fena Valley Reservoir water-balance model input files for historic (1990–2099) climate conditions"},{"id":367767,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5095/coverthb.jpg"}],"country":"Guam ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 144.53613281249997,\n 13.090179355733738\n ],\n [\n 145.01953124999997,\n 13.090179355733738\n ],\n [\n 145.01953124999997,\n 13.870080100685891\n ],\n [\n 144.53613281249997,\n 13.870080100685891\n ],\n [\n 144.53613281249997,\n 13.090179355733738\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Pacific Islands Water Science Center
U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-09-30","noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosa, Sarah N. 0000-0002-3653-0826 snrosa@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-0826","contributorId":2968,"corporation":false,"usgs":true,"family":"Rosa","given":"Sarah","email":"snrosa@usgs.gov","middleInitial":"N.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marineau, Mathieu D. 0000-0002-6568-0743 mmarineau@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-0743","contributorId":4954,"corporation":false,"usgs":true,"family":"Marineau","given":"Mathieu","email":"mmarineau@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769918,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hay, Lauren E. 0000-0003-3763-4595","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":211478,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":769919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Widlansky, Matthew J.","contributorId":215334,"corporation":false,"usgs":false,"family":"Widlansky","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":39222,"text":"Joint Institute for Marine and Atmospheric Research, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":769920,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jenson, John W.","contributorId":218688,"corporation":false,"usgs":false,"family":"Jenson","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":39888,"text":"University of Guam, Water and Environmental Research Institute of the Western Pacific","active":true,"usgs":false}],"preferred":false,"id":769921,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wong, Corinne I.","contributorId":218689,"corporation":false,"usgs":false,"family":"Wong","given":"Corinne","email":"","middleInitial":"I.","affiliations":[{"id":39889,"text":"Environmental Science Institute, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":769922,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Banner, Jay L.","contributorId":218690,"corporation":false,"usgs":false,"family":"Banner","given":"Jay","email":"","middleInitial":"L.","affiliations":[{"id":39890,"text":"University of Texas at Austin, Jackson School of Geosciences","active":true,"usgs":false}],"preferred":false,"id":769923,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Finucane, Melissa L.","contributorId":140152,"corporation":false,"usgs":false,"family":"Finucane","given":"Melissa","email":"","middleInitial":"L.","affiliations":[{"id":13398,"text":"East-West Center","active":true,"usgs":false}],"preferred":false,"id":769925,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Keener, Victoria W.","contributorId":218691,"corporation":false,"usgs":false,"family":"Keener","given":"Victoria","email":"","middleInitial":"W.","affiliations":[{"id":13398,"text":"East-West Center","active":true,"usgs":false}],"preferred":false,"id":769924,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70205851,"text":"70205851 - 2019 - A fuzzy logic approach for estimating recovery factors of miscible CO2-EOR projects in the United States","interactions":[],"lastModifiedDate":"2019-10-08T12:35:44","indexId":"70205851","displayToPublicDate":"2019-09-30T12:34:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2419,"text":"Journal of Petroleum Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"A fuzzy logic approach for estimating recovery factors of miscible CO2-EOR projects in the United States","docAbstract":"\"Recovery factor (RF) is one of the most fundamental parameters that define engineering and economical success of any operational phase in oil and gas production. The effectiveness of the operation, e.g. CO2-EOR (enhanced oil recovery with carbon dioxide injection), is usually defined by multiplying the resultant recovery factor by the original oil in place. Moreover, investment decisions for such engineering projects are also performed based on predicted recovery factors. Despite its importance, though, it is not easy to predict recovery factors as they are affected by many factors including the type of the recovery process, reservoir type, fluid properties, reservoir heterogeneity, depth, thickness, to name a few. The usual method of estimating recovery factors is laboratory experiments or numerical modeling, each of which has their own limitations due to data requirements, boundary conditions and scale effects.\nIn this work, a fuzzy inference system approach has been adopted to predict miscible CO2-EOR recovery factors of the major field applications in the United States with the premise that it can be used as a guidance tool for making decisions based on different inputs. The fuzzy system was build using a Mamdani-type fuzzy logic inference engine, and by using reservoir data compiled from different sources as inputs and recovery factors gathered from a literature survey. Due to the limited number of field cases that could be used for this purpose, 24 sets of applications were included in the study. Selected input variables were water saturation after waterflood (Sorw), well spacing, porosity, permeability, depth, net pay thickness, initial pressure, API gravity of oil, hydrocarbon pore volume CO2 injected, and reservoir lithology. The type of membership functions were decided based on the system’s predictive performance. The model showed reasonable predictive capability for the field observations of recovery factor despite the complexity of this parameter. In addition, since the fuzzy solution was multi-dimensional due to multiple inputs, system behavior was used to demonstrate response of miscible CO2-EOR recovery factor to different inputs.\n\"","language":"English","publisher":"Elsevier","doi":"10.1016/j.petrol.2019.106533","usgsCitation":"Karacan, C.O., 2019, A fuzzy logic approach for estimating recovery factors of miscible CO2-EOR projects in the United States: Journal of Petroleum Science and Engineering, v. 184, 106533, https://doi.org/10.1016/j.petrol.2019.106533.","productDescription":"106533","ipdsId":"IP-103343","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":368100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368097,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0920410519309544"}],"volume":"184","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":772619,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70206034,"text":"70206034 - 2019 - DNA Sequencing confirms Tundra Bean Goose (Anser serrirostris serrirostris) occurrence in the Mississippi Alluvial Valley in Arkansas, USA","interactions":[],"lastModifiedDate":"2019-10-21T06:41:10","indexId":"70206034","displayToPublicDate":"2019-09-30T12:15:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"DNA Sequencing confirms Tundra Bean Goose (Anser serrirostris serrirostris) occurrence in the Mississippi Alluvial Valley in Arkansas, USA","docAbstract":"—First sighting records of rare occurrences may become increasingly important for recognizing changes in distribution, changes in migratory strategies, or increases in hybridization. We focumented the first record of a Tundra Bean Goose in the Mississippi Alluvial Valley, the outlet and historic floodplain for much of North America and one of the most important waterfowl wintering areas on the continent. We also document the first genetically confirmed record in the contiguous USA. Bean Goose (Anser fabalis and A. serrirostris) occurrences in North America\nare rare, especially outside of Alaska. On 24 January 2018, a Tundra Bean Goose (A. s. serrirostris) was harvested by a hunter in a winter-flooded rice field in Desha County, Arkansas, USA, near Dumas. The goose was mixed with a flock of 50 Greater White-Fronted Geese (A. albifrons). Because this individual was legally, albeit accidentally shot, we had the rare and exciting opportunity to obtain morphometric measurements and biological samples. As a result, we were able to verify the species and subspecies through genetic and morphological analysis. We determined the goose was an adult female Tundra Bean Goose, and mitochondrial DNA control region sequence data indicated this specimen was the subspecies A. s. serrirostris.","language":"English","publisher":"BioOne","doi":"10.1675/063.042.0310","collaboration":"None","usgsCitation":"Osborne, D.C., Wilson, R.E., Carlson, L., Sonsthagen, S.A., and Talbot, S.L., 2019, DNA Sequencing confirms Tundra Bean Goose (Anser serrirostris serrirostris) occurrence in the Mississippi Alluvial Valley in Arkansas, USA: Waterbirds, v. 42, no. 3, p. 333-342, https://doi.org/10.1675/063.042.0310.","productDescription":"10 p.","startPage":"333","endPage":"342","ipdsId":"IP-101771","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":368391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas 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\"}}]}","volume":"42","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Osborne, Douglas C.","contributorId":219861,"corporation":false,"usgs":false,"family":"Osborne","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":773375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":773372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, Lindsay","contributorId":214924,"corporation":false,"usgs":false,"family":"Carlson","given":"Lindsay","email":"","affiliations":[{"id":39139,"text":"Utah State University and the Ecology Center","active":true,"usgs":false}],"preferred":false,"id":773376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":773373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":773374,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70207121,"text":"70207121 - 2019 - Value of migratory bird recreation at the Bosque del Apache National Wildlife Refuge in New Mexico","interactions":[],"lastModifiedDate":"2019-12-09T12:10:18","indexId":"70207121","displayToPublicDate":"2019-09-30T12:10:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5899,"text":"Western Economics Forum","active":true,"publicationSubtype":{"id":10}},"title":"Value of migratory bird recreation at the Bosque del Apache National Wildlife Refuge in New Mexico","docAbstract":"

Each fall, thousands of Rocky Mountain Sandhill Cranes and other migratory birds congregate at the Bosque del Apache National Wildlife Refuge in New Mexico’s Rio Grande Valley in search of wintering habitat. As such, this refuge is known as one of the premier destinations for bird viewing and photography in the United States. Using contingent valuation data, this case study quantifies the value associated with migratory bird recreation at this refuge to be \\$7.5 million in 2010. It is estimated that this annual value increased by more than \\$6.4 million in 2017 due to growth in annual refuge visitation.

","language":"English","publisher":"Western Agricultural Economics Association","usgsCitation":"Huber, C., and Sexton, N., 2019, Value of migratory bird recreation at the Bosque del Apache National Wildlife Refuge in New Mexico: Western Economics Forum, v. 17, no. 2, p. 52-62.","productDescription":"11 p.","startPage":"52","endPage":"62","ipdsId":"IP-068398","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":370108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":370074,"type":{"id":15,"text":"Index Page"},"url":"https://www.waeaonline.org/publications/western-economics-forum"}],"country":"United States","state":"New Mexico","otherGeospatial":"Bosque del Apache National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.86676025390625,\n 33.64720713369293\n ],\n [\n -106.73492431640624,\n 33.87212589943945\n ],\n [\n -106.99996948242186,\n 33.87782681357735\n ],\n [\n -106.86676025390625,\n 33.64720713369293\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huber, Christopher 0000-0001-8446-8134 chuber@usgs.gov","orcid":"https://orcid.org/0000-0001-8446-8134","contributorId":127600,"corporation":false,"usgs":true,"family":"Huber","given":"Christopher","email":"chuber@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":776965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sexton, Natalie","contributorId":103320,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","affiliations":[],"preferred":false,"id":776966,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205806,"text":"70205806 - 2019 - Preface: Proceedings of the First International Snakehead Symposium","interactions":[],"lastModifiedDate":"2019-10-10T10:10:13","indexId":"70205806","displayToPublicDate":"2019-09-30T11:38:23","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"title":"Preface: Proceedings of the First International Snakehead Symposium","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the First International Snakehead Symposium","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society, Symposium","collaboration":"Virginia Department of Game and Inland Fisheries","usgsCitation":"Odenkirk, J., and Chapman, D., 2019, Preface: Proceedings of the First International Snakehead Symposium, chap. of Proceedings of the First International Snakehead Symposium.","productDescription":"1 p.","startPage":"vii","ipdsId":"IP-112144","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":368037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367994,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/54089c/"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Odenkirk, John","contributorId":219514,"corporation":false,"usgs":false,"family":"Odenkirk","given":"John","affiliations":[{"id":35592,"text":"Virginia Department of Game and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":772436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":772435,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70211355,"text":"70211355 - 2019 - Finding the sweet spot: Shifting climate optima for maple syrup production in North America","interactions":[],"lastModifiedDate":"2020-07-29T13:43:01.131868","indexId":"70211355","displayToPublicDate":"2019-09-30T11:28:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Finding the sweet spot: Shifting climate optima for maple syrup production in North America","docAbstract":"Climate change is affecting the benefits society derives from forests. One such forest ecosystem service is maple syrup, which is primarily derived from Acer saccharum (sugar maple), currently an abundant and widespread tree species in eastern North America. Two climate sensitive components of sap affect syrup production: sugar content and sap flow. The sugar in maple sap derives from carbohydrate stores influenced by prior year growing season conditions. Sap flow is tied to freeze/thaw cycles during early spring. Predicting climate effects on syrup production thus requires integrating observations across scales and biological processes. We observed sap at 6 sugar maple stands spanning sugar maple’s latitudinal range over 2¬–6 years to predict the role of climate variation on sugar content and sap flow. We found that the timing of sap collection advanced by 4.3 days for every 1 °C increase in March mean temperature, sap volume peaked at a January-May mean temperature of 1 °C, and sap sugar content declined by 0.1 °Brix for every 1 °C increase in previous May-October mean temperature. Using these empirical relationships, we projected that the sap collection season midpoint will be 1 month earlier and sap sugar content will decline by 0.7 °Brix across sugar maple’s range by the year 2100 in an RCP 8.5 climate change scenario. The region of maximum sap flow is expected to shift northward by 400km, from near the 43rd parallel to the 48th parallel by 2100. Our findings suggest climate change will have profound effects on syrup yield across most of sugar maple’s range; drastic shifts in the timing of the tapping season accompanied by flat to moderate increases in syrup yield per tap in Canada contrast with declines in syrup yield and higher frequencies of poor syrup production years across most of the U.S. range.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.05.045","usgsCitation":"Rapp, J.M., Lutz, D.A., Huish, R.H., Dufour, B., Ahmed, S., Morelli, T.L., and Stinson, K.A., 2019, Finding the sweet spot: Shifting climate optima for maple syrup production in North America: Forest Ecology and Management, v. 448, p. 187-197, https://doi.org/10.1016/j.foreco.2019.05.045.","productDescription":"11 p.","startPage":"187","endPage":"197","ipdsId":"IP-104958","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":459695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2019.05.045","text":"Publisher Index Page"},{"id":376779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"448","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rapp, Joshua M.","contributorId":200307,"corporation":false,"usgs":false,"family":"Rapp","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":794107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lutz, David A.","contributorId":232418,"corporation":false,"usgs":false,"family":"Lutz","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":794108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huish, Ryan H.","contributorId":232414,"corporation":false,"usgs":false,"family":"Huish","given":"Ryan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":794109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dufour, Boris","contributorId":232415,"corporation":false,"usgs":false,"family":"Dufour","given":"Boris","email":"","affiliations":[],"preferred":false,"id":794110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ahmed, Selena","contributorId":232416,"corporation":false,"usgs":false,"family":"Ahmed","given":"Selena","email":"","affiliations":[],"preferred":false,"id":794111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":794003,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stinson, Kristina A.","contributorId":232417,"corporation":false,"usgs":false,"family":"Stinson","given":"Kristina","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":794112,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70205979,"text":"70205979 - 2019 - Hemidactylus parvimaculatus (Sri Lankan spotted house gecko)","interactions":[],"lastModifiedDate":"2019-10-14T11:34:42","indexId":"70205979","displayToPublicDate":"2019-09-30T11:25:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Hemidactylus parvimaculatus (Sri Lankan spotted house gecko)","docAbstract":"

USA: LOUISIANA: PLAQUEMINES PARISH: 0.15 km S of the intersection of LA-23 and Jump  road, Venice (29.266630°N, 89.35570°W; WGS 84). 2 May 2019. V. C. Montross and W. McGighan. Verified by Aaron M. Bauer. Florida Museum of Natural History (UF 189238; photo voucher). New parish record. On 2 May 2019, three Hemidactylus parvimaculatus were observed after lifting an abandoned door left on the side of Jump Basin Road. An adult specimen was photographed. This record extends the known distribution of this species in Louisiana south of all previously recorded parishes and is 105 km SW of the species’ first recorded location in the state at Audubon Zoo, Orleans Parish (Heckard et al. 2013. IRCF Reptil. Amphib. 20:192–196). Four additional parishes in southeastern Louisiana have since been added to its known distribution including Jefferson (Borgardt 2015. Herpetol. Rev. 46:217), St. Tammany (Glorioso 2016. Herpetol. Rev. 47:81), St. John (Borgardt 2016. Herpetol. Rev. 47:258), and Tangipahoa (Erdman 2017. Herpetol. Rev. 48:125), as well as Chambers and Orange counties in east Texas (Davis and LaDuc 2019. Herpetol. Rev. 50:102). 

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"nation\":\"USA \"}}]}","volume":"50","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pellacchia, C. M.","contributorId":219774,"corporation":false,"usgs":false,"family":"Pellacchia","given":"C.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":773154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendyk, R. W.","contributorId":219775,"corporation":false,"usgs":false,"family":"Mendyk","given":"R.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":773155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collen, C. A.","contributorId":219776,"corporation":false,"usgs":false,"family":"Collen","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":773156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Montross, V. C.","contributorId":219777,"corporation":false,"usgs":false,"family":"Montross","given":"V.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":773157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGighan, W.","contributorId":219778,"corporation":false,"usgs":false,"family":"McGighan","given":"W.","email":"","affiliations":[],"preferred":false,"id":773158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Macedo, K.","contributorId":219779,"corporation":false,"usgs":false,"family":"Macedo","given":"K.","email":"","affiliations":[],"preferred":false,"id":773159,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maldonado, B. R. 0000-0002-9737-6922","orcid":"https://orcid.org/0000-0002-9737-6922","contributorId":219780,"corporation":false,"usgs":false,"family":"Maldonado","given":"B. R.","affiliations":[],"preferred":false,"id":773160,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morenc, I. N.","contributorId":219781,"corporation":false,"usgs":false,"family":"Morenc","given":"I.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":773161,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196927,"text":"70196927 - 2019 - Trout as native and non-native species: A management paradox","interactions":[],"lastModifiedDate":"2019-12-05T11:22:27","indexId":"70196927","displayToPublicDate":"2019-09-30T11:18:21","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"19","title":"Trout as native and non-native species: A management paradox","docAbstract":"Native trout are threatened worldwide by introductions of non-native trout that in many cases are themselves threatened within their native range and historical habitats. This chapter focuses on this paradox and addresses how information gained to protect and restore a species in its native range can be used to suppress the same species outside its native range, where it may be invasive. We describe examples of three trout species, Lake Trout, Brown Trout, and Brook Trout, which are managed for the opposing goals of restoration versus suppression, in relation to their opposing roles as both native and non-native species in aquatic communities. We also attempt to develop insights into how this information might be used to accomplish both seemingly incompatible ends.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Trout and Char of the World","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","isbn":"9781934874547","usgsCitation":"Hansen, M.J., Guy, C.S., Budy, P., and McMahon, T., 2019, Trout as native and non-native species: A management paradox, chap. 19 of Trout and Char of the World, p. 645-684.","productDescription":"40 p.","startPage":"645","endPage":"684","ipdsId":"IP-095921","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":369996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369995,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/professional-and-trade/55081c/"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":735016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMahon, Thomas E.","contributorId":189425,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[],"preferred":false,"id":735019,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205617,"text":"sir20195089 - 2019 - Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2019","interactions":[],"lastModifiedDate":"2019-09-30T14:06:15","indexId":"sir20195089","displayToPublicDate":"2019-09-30T11:08:27","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5089","displayTitle":"Status of Groundwater-Level Altitudes and Long-Term Groundwater-Level Changes in the Chicot, Evangeline, and Jasper Aquifers, Houston-Galveston Region, Texas, 2019","title":"Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2019","docAbstract":"

Since the early 1900s, most of the groundwater withdrawals in the Houston-Galveston region, Texas, have been from the three primary aquifers that compose the Gulf Coast aquifer system—the Chicot, Evangeline, and Jasper aquifers. Withdrawals from these aquifers are used for municipal supply, commercial and industrial use, and irrigation. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting the status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers in the Houston-Galveston region. This report contains regional-scale maps depicting approximate 2019 groundwater-level altitudes (represented by measurements made during December 2018 through March 2019) and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers.

In 2019, groundwater-level-altitude contours for the Chicot aquifer ranged from 200 feet (ft) below the North American Vertical Datum of 1988 (hereinafter referred to as “datum”) to 200 ft above datum. The 1977–2019 groundwater-level-change contours for the Chicot aquifer depict a large area of decline in groundwater-level altitudes (100 ft) in northwestern Harris County. The largest rise in groundwater-level altitudes in the Chicot aquifer from 1977 to 2019 (200 ft) was in southeastern Harris County.

In 2019, groundwater-level-altitude contours for the Evangeline aquifer ranged from 300 ft below datum to 200 ft above datum. The 1977–2019 groundwater-level-change contours for the Evangeline aquifer depict broad areas where groundwater-level altitudes either declined or rose. The largest decline in groundwater-level altitudes (280 ft) was in southern Montgomery and northern Harris Counties. The largest rise in groundwater-level altitudes in the Evangeline aquifer from 1977 to 2019 (240 ft) was in southeastern Harris County.

In 2019, groundwater-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum to 250 ft above datum. The 2000–19 groundwater-level-change contours for the Jasper aquifer depict groundwater-level declines throughout most of the study area where groundwater-level-altitude data from the Jasper aquifer were collected, with the largest decline (200 ft) in southern Montgomery County.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195089","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Braun, C.L., Ramage, J.K., and Shah, S.D., 2019, Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2019: U.S. Geological Survey Scientific Investigations Report 2019–5089, 18 p., https://doi.org/10.3133/sir20195089.","productDescription":"Report: vi, 18 p.; 2 Data Releases","onlineOnly":"N","ipdsId":"IP-108529 ","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":367799,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LKT49P","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Depth to Groundwater Measured from Wells Completed in the Chicot, Evangeline, and Jasper Aquifers, Houston-Galveston Region, Texas, 2019"},{"id":367796,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5089/coverthb.jpg"},{"id":367797,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5089/sir20195089.pdf","text":"Report","size":"14.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5089"},{"id":367798,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/doi:10.5066/P91CKWVC","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Groundwater-level altitudes and long-term groundwater-level Changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston Region, Texas, 2019"}],"country":"United States","state":"Texas","otherGeospatial":"Chicot Aquifer, Evangeline Aquifer, Jasper Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.13336181640625,\n 29.03215782622282\n ],\n [\n -94.2022705078125,\n 29.57345707301757\n ],\n [\n -94.9822998046875,\n 30.398937557618677\n ],\n [\n -95.635986328125,\n 30.836214626064844\n ],\n [\n -95.888671875,\n 30.850363469502362\n ],\n [\n -96.61102294921875,\n 30.14512718337613\n ],\n [\n -96.27319335937499,\n 29.506549442788593\n ],\n [\n -95.130615234375,\n 29.020149792758527\n ],\n [\n -95.13336181640625,\n 29.03215782622282\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, Texas 78754–4501

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-09-30","noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shah, Sachin D. 0000-0002-5440-5535 sdshah@usgs.gov","orcid":"https://orcid.org/0000-0002-5440-5535","contributorId":194450,"corporation":false,"usgs":true,"family":"Shah","given":"Sachin","email":"sdshah@usgs.gov","middleInitial":"D.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771935,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203865,"text":"70203865 - 2019 - Multivariate analysis of hydrochemical data for Jewel Cave, Wind Cave, and surrounding areas","interactions":[],"lastModifiedDate":"2019-12-03T11:08:09","indexId":"70203865","displayToPublicDate":"2019-09-30T11:05:08","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/JECA/NRR—2019/1883","title":"Multivariate analysis of hydrochemical data for Jewel Cave, Wind Cave, and surrounding areas","docAbstract":"Jewel Cave National Monument and Wind Cave National Park in South Dakota contain two of the six longest caves worldwide. These caves contain subterranean lakes that are important points of intersection between the water table of the Madison aquifer and the caves. During 2015 to 2017, several subterranean lakes were discovered in Jewel Cave, which previously was thought to be above the regional water table. The objectives of this study were to better understand the hydrology of the recently discovered lakes in Jewel Cave and to evaluate their relation or possible connection to similar subterranean lakes in Wind Cave. Both objectives align with National Park Service resource management purposes. Multivariate analysis, consisting of principal component analysis (PCA), cluster analysis, and end member mixing, was applied to hydrochemical data for 70 sites within and surrounding Jewel Cave and Wind Cave. Hydrochemical data consisted of the contents of major ions (Ca, Mg, Na, HCO3, Cl, Si, SO4), arsenic (As), strontium (Sr), uranium (U), stable isotopes of oxygen and hydrogen (δ18O, δ2H), radiogenic isotope ratios of strontium and uranium (87Sr/86Sr and 234U/238U), pH, and electrical conductivity (EC) in water samples. Five hydrogeologic domains were identified on the basis of PCA and cluster analysis for the area encompassing Jewel Cave and Wind Cave in the southern Black Hills. The Artesian 1 and Artesian 2 domains represent primarily artesian springs and surrounding groundwater, the East and West domains represent areas where Madison and Minnelusa aquifer rocks are at or near the land surface, and the Precambrian domain represents the Precambrian aquifer. Multivariate analysis indicates that the Jewel Cave area is part of the West domain and that Wind Cave is part of the East domain. End member mixing was applied to estimate that groundwater in the Jewel Cave area primarily was derived from the West domain and secondarily from the Precambrian domain. Jewel Cave and Wind Cave contain lakes that are well connected to regional groundwater flow in the Madison aquifer.","language":"English","publisher":"National Park Service","usgsCitation":"Long, A.J., Paces, J.B., and Eldridge, W.G., 2019, Multivariate analysis of hydrochemical data for Jewel Cave, Wind Cave, and surrounding areas: Natural Resource Report NPS/JECA/NRR—2019/1883, ix, 40 p.","productDescription":"ix, 40 p.","ipdsId":"IP-099296","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":369865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364767,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/620542"}],"country":"United States","state":"South Dakota","otherGeospatial":"Jewel Cave, Wind Cave","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.95195007324217,\n 43.43995745973526\n ],\n [\n -103.348388671875,\n 43.43995745973526\n ],\n [\n -103.348388671875,\n 43.78844545936668\n ],\n [\n -103.95195007324217,\n 43.78844545936668\n ],\n [\n -103.95195007324217,\n 43.43995745973526\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":764502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eldridge, William G. 0000-0002-3562-728X","orcid":"https://orcid.org/0000-0002-3562-728X","contributorId":208529,"corporation":false,"usgs":true,"family":"Eldridge","given":"William","email":"","middleInitial":"G.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205101,"text":"ofr20191099 - 2019 - Using the stream salmonid simulator (S3) to assess juvenile Chinook salmon (Oncorhynchus tshawytscha) production under historical and proposed action flows in the Klamath River, California","interactions":[],"lastModifiedDate":"2019-10-02T15:01:10","indexId":"ofr20191099","displayToPublicDate":"2019-09-30T11:00:32","publicationYear":"2019","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":"2019-1099","displayTitle":"Using the Stream Salmonid Simulator (S3) to Assess Juvenile Chinook Salmon (Oncorhynchus tshawytscha) Production Under Historical and Proposed Action Flows in the Klamath River, California","title":"Using the stream salmonid simulator (S3) to assess juvenile Chinook salmon (Oncorhynchus tshawytscha) production under historical and proposed action flows in the Klamath River, California","docAbstract":"

Executive Summary

The production of Klamath River fall Chinook salmon (Oncorhynchus tshawytscha) in northern California and southern Oregon is thought to be limited by poor survival during freshwater juvenile life stages, in part a result of Ceratonova shasta—a highly infectious disease that can lead to high fish mortality. Higher flushing river flows are thought to affect the concentration of C. shasta spores, and in turn, juvenile salmon infection and mortality. The Stream Salmonid Simulator (S3) model was built to simulate the spatiotemporal dynamics of the growth, movement, and survival of juvenile salmon from spawning through migration to the Pacific Ocean in response to river flow, habitat availability, water temperature, and C. shasta spore concentrations. The S3 model has been calibrated to juvenile fall Chinook salmon abundances at a trap site within the Klamath River, and was specifically designed to provide objective predictions of juvenile salmon abundance and survival in relation to proposed flow management alternatives and resulting fish infection and mortality by C. shasta. Infection by C. shasta in the Klamath River is location specific, occurring in a “disease zone” with high spore concentrations. The spatial extent of this disease zone (from river kilometer 289.6 to 212.9) has been incorporated in the S3 model for the Klamath River, enabling the assessment of disease effects on fish at specific spatial locations such as the trap sampling sites, and for fish that were or were not exposed to the disease zone as they emigrate the Klamath River to the Pacific Ocean.

Given the information gained from field observations on spore concentrations in relation to river flow, deliberations by resource managers resulted in the incorporation of springtime flushing flows in a Proposed Action (PA) scenario developed in part to lower spore concentrations within the disease zone. A Historical (HI) scenario based on the observed flows, temperatures, and spore concentrations from 2004 to 2016 was used to compare and contrast the potential benefits to juvenile salmon from PA flows in relation to the HI conditions.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191099","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration, National Marine Fisheries Service","usgsCitation":"Plumb, J.M., Perry, R.W., Som, N.A., Alexander, J., and Hetrick, N.J., 2019, Using the stream salmonid simulator (S3) to assess juvenile Chinook salmon (Oncorhynchus tshawytscha) production under historical and proposed action flows in the Klamath River, California: U.S. Geological Survey Open-File\nReport 2019-1099, 43 p., https://doi.org/10.3133/ofr20191099.","productDescription":"vi, 43 p.","onlineOnly":"Y","ipdsId":"IP-107092","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":367843,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1099/coverthb.jpg"},{"id":367844,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1099/ofr20191099.pdf","text":"Report","size":"3.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1099"}],"country":"United States","state":"California","otherGeospatial":"Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.5247802734375,\n 41.38917324986403\n ],\n [\n -122.23114013671875,\n 41.38917324986403\n ],\n [\n -122.23114013671875,\n 41.92475971933975\n ],\n [\n -123.5247802734375,\n 41.92475971933975\n ],\n [\n -123.5247802734375,\n 41.38917324986403\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-09-30","noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":770028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":770029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":770030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Julie","contributorId":218725,"corporation":false,"usgs":false,"family":"Alexander","given":"Julie","affiliations":[{"id":39896,"text":"Oregon State University, College of Agricultural Sciences and College of Science, Department of Microbiology, Nash Hall 522, Corvallis, OR 97331","active":true,"usgs":false}],"preferred":false,"id":770031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hetrick, Nicholas J.","contributorId":168367,"corporation":false,"usgs":false,"family":"Hetrick","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":770032,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223479,"text":"70223479 - 2019 - Climatic variation drives growth potential of juvenile Chinook Salmon (Oncorhynchus tshawytscha) along a sub-Arctic boreal riverscape","interactions":[],"lastModifiedDate":"2021-08-27T15:46:25.85302","indexId":"70223479","displayToPublicDate":"2019-09-30T10:40:12","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Climatic variation drives growth potential of juvenile Chinook Salmon (Oncorhynchus tshawytscha) along a sub-Arctic boreal riverscape","docAbstract":"Climatic variation is a key driver of freshwater physical processes that in turn control stream fish growth and population dynamics at fine spatial scales and species distributions across broad landscapes. A recent downturn in Chinook Salmon returns across the Yukon River basin, Alaska, USA, and Yukon Territories, Canada, has led to hardship among user groups and increased interest in understanding how freshwater processes affect population persistence within this important commercial, recreational, and subsistence fishery. Here we present results for the Chena River basin, interior Alaska, where we used field observations and riverscape-scale spatially-explicit models to assess the influence of stream temperature on juvenile Chinook Salmon growth potential among years (2003 2015) and across 438 stream-km. We ran bioenergetic simulations for warm and cool year scenarios and contrasted temperature model precision and growth among different habitat types (small and large tributaries, main stem, side channels) based on field estimates of growth, size, and diet, and measured stream temperatures. Stream temperature regimes predicted from remotely-sensed land surface temperature were precise during the open water season (R2 > 0.87; RMSE < 1.1 C) although the relationship was weakest in groundwater-mediated tributary habitats. Field observations revealed salmon were 67% larger by mass (g) in September during a warm year versus a cool year from main stem sites. Bioenergetic simulations predicted that, on average, growth potential was 42% higher in warm years, although growth potential varied across the riverscape as much as 60% between cool upstream and warm downstream habitats. Climate variability is clearly an important driver of freshwater habitat conditions and has a large role in controlling freshwater growth of juvenile salmon. A better understanding of how climate influences growth conditions in different habitat types and across broad landscapes will be critical for conservation and management of Alaskan Chinook Salmon stocks under an expected warmer and more variable climate.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in understanding landscape influences on freshwater habitats and biological assemblages","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874561.ch4","usgsCitation":"Falke, J.A., Huntsman, B.M., and Schoen, E.R., 2019, Climatic variation drives growth potential of juvenile Chinook Salmon (Oncorhynchus tshawytscha) along a sub-Arctic boreal riverscape, chap. 4 of Advances in understanding landscape influences on freshwater habitats and biological assemblages, p. 57-82, https://doi.org/10.47886/9781934874561.ch4.","productDescription":"26 p.","startPage":"57","endPage":"82","ipdsId":"IP-103360","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":388590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Yukon River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.5322265625,\n 60.457217797743944\n ],\n [\n -131.923828125,\n 60.457217797743944\n ],\n [\n -131.923828125,\n 66.80922097449334\n ],\n [\n -160.5322265625,\n 66.80922097449334\n ],\n [\n -160.5322265625,\n 60.457217797743944\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntsman, Brock M. 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":166748,"corporation":false,"usgs":false,"family":"Huntsman","given":"Brock","email":"","middleInitial":"M.","affiliations":[{"id":24497,"text":"West Virginia University, Morgantown, WV","active":true,"usgs":false}],"preferred":false,"id":822125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoen, Erik R.","contributorId":184107,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":822126,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70213104,"text":"70213104 - 2019 - Valid debris-flow models must avoid hot starts","interactions":[],"lastModifiedDate":"2020-09-09T15:17:29.197676","indexId":"70213104","displayToPublicDate":"2019-09-30T10:17:13","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Valid debris-flow models must avoid hot starts","docAbstract":"Debris-flow experiments and models commonly use “hot-start” initial conditions in which downslope motion begins when a large force imbalance is abruptly imposed. By contrast, initiation of natural debris flows almost invariably results from small perturbations of static force balances that apply to debris masses poised in steep channels or on steep slopes. Models that neglect these static balances may violate physical law. Here we assess how the effects of hot starts are manifested in physical experiments, analytical dam-break models, and numerical models in which frictional resistance is too small to satisfy static force balances in debris-flow source areas. We then outline a numerical modeling framework that avoids use of hot starts. In this framework an initial static force balance is gradually perturbed by increasing pore-fluid pressure that may trigger the onset of debris motion. Subsequent increases in pore-fluid pressure, driven by debris motion, may then reduce the debris frictional strength, leading to high flow mobility.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"7th International Conference on Debris-Flow Hazards Mitigation-Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Association of Environmental and Engineering Geologists (AEG)","doi":"10.25676/11124/173051","usgsCitation":"Iverson, R.M., and George, D.L., 2019, Valid debris-flow models must avoid hot starts, in 7th International Conference on Debris-Flow Hazards Mitigation-Proceedings, Golden, CO, June 10-13, 2019, p. 25-32, https://doi.org/10.25676/11124/173051.","productDescription":"8 p.","startPage":"25","endPage":"32","ipdsId":"IP-102681","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":437321,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PC522T","text":"USGS data release","linkHelpText":"Debris-flow video files, Chalk Cliffs, Colorado, USA, 2017"},{"id":378267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":798263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":798264,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208944,"text":"70208944 - 2019 - Links between tectonics, magmatism, and mineralization in the formation of Late Cretaceous porphyry systems in the Yukon-Tanana upland, eastern Alaska, USA","interactions":[],"lastModifiedDate":"2020-06-04T14:59:53.342442","indexId":"70208944","displayToPublicDate":"2019-09-30T09:55:57","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Links between tectonics, magmatism, and mineralization in the formation of Late Cretaceous porphyry systems in the Yukon-Tanana upland, eastern Alaska, USA","docAbstract":"

Cretaceous-Paleocene porphyry Cu(±Mo±Au) occurrences are scattered throughout the Yukon-Tanana upland in eastern Alaska. Known occurrences in eastern Alaska are poorly characterized, despite a resurgence in exploration. Porphyry deposits in the upland are emplaced into structurally complex metamorphic rocks representing a variety of tectonic environments, resulting in diverse alteration and mineralization assemblages. New mapping, drill core logging, petrography, geochemistry, geochronology, and structural analysis allow improved characterization of the parameters of porphyry systems and identify key linkages to regional tectonic and magmatic events. New sericite 40Ar/39Ar and zircon U/Pb dates constrain porphyry systems to the Late Cretaceous-earliest Paleocene (ca. 71-63 Ma). Zircon Hf-isotope ratios and Ce and Eu concentrations indicate that Late Cretaceous-Paleocene intrusions emplaced into basement dominated by Triassic and Jurassic plutons are more isotopically juvenile, reflecting more oxidized conditions. In contrast, those emplaced into basement dominated by mid-Cretaceous plutons are more reduced crustal geochemical-affinity. Diversity in mineral assemblages in contrasting systems may reflect emplacement into crustal domains of varying compositions and oxidation states. Those formed within a domain containing more-oxidized Triassic and Jurassic plutons are molybdenite-rich and apparently lack gold. In contrast, systems formed within domains dominated by more reduced mid-Cretaceous plutons contain lower-sulfidation state mineral assemblages with reported gold.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 15th biennial meeting for geology applied to mineral deposits","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"15th Biennial Meeting of the Society for Geology Applied to Mineral Deposits 27","conferenceDate":"Aug 27-30, 2019","conferenceLocation":"Glasgow, Scotland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits (SGA)","usgsCitation":"Kreiner, D.C., Jones, J.V., Todd, E., Holm-Denoma, C., Caine, J., and Benowitz, J., 2019, Links between tectonics, magmatism, and mineralization in the formation of Late Cretaceous porphyry systems in the Yukon-Tanana upland, eastern Alaska, USA, in Proceedings of the 15th biennial meeting for geology applied to mineral deposits, Glasgow, Scotland, Aug 27-30, 2019, p. 939-942.","productDescription":"4 p.","startPage":"939","endPage":"942","ipdsId":"IP-106263","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":375358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Yukon-Tanana upland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -133.3740234375,\n 60.58696734225869\n ],\n [\n -129.8583984375,\n 63.450509218001095\n ],\n [\n -150.0732421875,\n 67.20403234340081\n ],\n [\n -153.7646484375,\n 64.8115572502203\n ],\n [\n -133.3740234375,\n 60.58696734225869\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":784127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":784128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":784129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":784130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":784131,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benowitz, Jeff","contributorId":223106,"corporation":false,"usgs":false,"family":"Benowitz","given":"Jeff","affiliations":[{"id":7097,"text":"University of Alaska-Fairbanks","active":true,"usgs":false}],"preferred":false,"id":784132,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204592,"text":"70204592 - 2019 - Updates to USGS national seismic hazard model (NSHM) and design ground motion maps for 2020 NEHRP recommended provisions","interactions":[],"lastModifiedDate":"2020-06-01T14:43:59.1433","indexId":"70204592","displayToPublicDate":"2019-09-30T09:42:58","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Updates to USGS national seismic hazard model (NSHM) and design ground motion maps for 2020 NEHRP recommended provisions","docAbstract":"

This presentation summarizes the proposed updates to earthquake design ground motions for the 2020 edition of the NEHRP Recommended Seismic Provisions, expected to be incorporated into the ASCE 7-22 Standard. The implications of these updates on the values of design ground motions for example locations in both conterminous and nonconterminous U.S. cities are shown and discussed.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2019 SEAOC convention proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEAOC 2019","conferenceDate":"Aug 28-31, 209","conferenceLocation":"Squaw Creek, CA","language":"English","publisher":"Structural Engineers Association of California","usgsCitation":"Rezaeian, S., and Luco, N., 2019, Updates to USGS national seismic hazard model (NSHM) and design ground motion maps for 2020 NEHRP recommended provisions, in 2019 SEAOC convention proceedings, Squaw Creek, CA, Aug 28-31, 209, 1 p.","productDescription":"1 p.","ipdsId":"IP-110889","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":375183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":767666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":767667,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205399,"text":"ofr20191107 - 2019 - Application of the Stream Salmonid Simulator (S3) to Klamath River fall Chinook salmon (Oncorhynchus tshawytscha), California—Parameterization and calibration","interactions":[],"lastModifiedDate":"2019-10-01T10:31:37","indexId":"ofr20191107","displayToPublicDate":"2019-09-30T09:06:14","publicationYear":"2019","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":"2019-1107","displayTitle":"Application of the Stream Salmonid Simulator (S3) to Klamath River Fall Chinook Salmon (Oncorhynchus tshawytscha), California—Parameterization and Calibration","title":"Application of the Stream Salmonid Simulator (S3) to Klamath River fall Chinook salmon (Oncorhynchus tshawytscha), California—Parameterization and calibration","docAbstract":"

Executive Summary

In this report, we describe application of the Stream Salmonid Simulator (S3) to Chinook salmon (Oncorhynchus tshawytscha) in the Klamath River between Keno Dam in southern Oregon and the ocean in northern California. S3 is a deterministic life-stage-structured population model that tracks daily growth, movement, and survival of juvenile salmon. It can track different source populations or species, such as major tributary populations that enter a river like the Klamath River. A key theme of the model is that river flow affects habitat availability and capacity, which in turn drives density-dependent population dynamics. To explicitly link population dynamics to habitat quality and quantity, the river environment is constructed as a one-dimensional series of linked habitat units, each of which has an associated daily time series of discharge, water temperature, and useable habitat area or carrying capacity. In turn, the physical characteristics of each habitat unit and the number of fish occupying each unit affect survival and growth within each habitat unit and movement of fish among habitat units.

The physical template of the Klamath River was formed by classifying the river into 2,635 mesohabitat units composed of runs, riffles, and pools. This template enabled modeling of the unimpounded Klamath River between the Keno Dam (the uppermost of four dams) and Iron Gate Dam (the lowermost dam) to address dam-removal scenarios. However, in this report, our focus was on parameterizing and calibrating the model under existing conditions, which included 1,706 discrete habitat units over the 312-kilometer (km) section of river between Iron Gate Dam and the ocean. For each habitat unit, we developed a time series of daily flow, water temperature, and amount of available habitat (weighted usable habitat area [WUA]) for spawners, fry, and parr. WUA time series were constructed using habitat suitability criteria for Chinook salmon applied to eight two-dimensional (2-D) hydrodynamic models that represented the geomorphic variability in habitat across the Klamath River. Results from the 2-D models were then extrapolated to unmodeled habitat units by scaling WUA curves for changes in habitat unit length and width. These variables were then used to drive population dynamics such as egg development and survival and juvenile movement, growth, and survival.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191107","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the Bureau of Reclamation","usgsCitation":"Perry, R.W., Plumb, J.M., Jones, E.C., Som, N.A., Hardy, T.B., and Hetrick, N.J., 2019, Application of the Stream Salmonid Simulator (S3) to Klamath River fall Chinook salmon (Oncorhynchus tshawytscha), California—Parameterization and calibration: U.S. Geological Survey Open-File Report 2019–1107, 89 p., https://doi.org/10.3133/ofr20191107.","productDescription":"Report: viii, 89p.; Appendix 1","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-106890","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":367791,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1107/ofr20191107.pdf","text":"Report","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1107"},{"id":367792,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1107/ofr20191107_a1.pdf","text":"Appendix 1","size":"241 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1107 Appendix 1"},{"id":367790,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1107/coverthb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Keno Dam, Klamath River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.4091796875,\n 41.17038447781618\n ],\n [\n -120.66284179687498,\n 41.17038447781618\n ],\n [\n -120.66284179687498,\n 42.4234565179383\n ],\n [\n -124.4091796875,\n 42.4234565179383\n ],\n [\n -124.4091796875,\n 41.17038447781618\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

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Guam receives 85 to 116 inches of rain a year, two-thirds of which has historically fallen during the wet season. On average, three tropical storms and one typhoon pass within 80 nautical miles of Guam each year, generally during the rainy season. Both drought and flooding can impact freshwater supply and the associated infrastructure. Department of Defense (DoD) installations and non-military populations on Guam share freshwater resources, which will be impacted by changes in demographics, freshwater demand, and climate. This DoD Strategic Environmental Research and Development Program (SERDP) funded study evaluated potential climate impacts on freshwater supplies in Guam, and identified methods of increasing the water distribution system’s resilience.

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