{"pageNumber":"684","pageRowStart":"17075","pageSize":"25","recordCount":184900,"records":[{"id":70207008,"text":"pp1824BB - 2019 - Geology and assessment of undiscovered oil and gas resources of the Amerasia Basin Province, 2008","interactions":[{"subject":{"id":70040808,"text":"sir20125146 - 2012 - Assessment of undiscovered petroleum resources of the Amerasia Basin Petroleum Province","indexId":"sir20125146","publicationYear":"2012","noYear":false,"title":"Assessment of undiscovered petroleum resources of the Amerasia Basin Petroleum Province"},"predicate":"SUPERSEDED_BY","object":{"id":70207008,"text":"pp1824BB - 2019 - Geology and assessment of undiscovered oil and gas resources of the Amerasia Basin Province, 2008","indexId":"pp1824BB","publicationYear":"2019","noYear":false,"chapter":"BB","title":"Geology and assessment of undiscovered oil and gas resources of the Amerasia Basin Province, 2008"},"id":1},{"subject":{"id":70207008,"text":"pp1824BB - 2019 - Geology and assessment of undiscovered oil and gas resources of the Amerasia Basin Province, 2008","indexId":"pp1824BB","publicationYear":"2019","noYear":false,"chapter":"BB","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Amerasia Basin Province, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Amerasia Basin Province, 2008"},"predicate":"IS_PART_OF","object":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"id":2}],"isPartOf":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"lastModifiedDate":"2024-06-26T14:27:42.722577","indexId":"pp1824BB","displayToPublicDate":"2020-01-08T12:19:45","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1824","chapter":"BB","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Amerasia Basin Province, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Amerasia Basin Province, 2008","docAbstract":"

The Amerasia Basin Province encompasses the Canada Basin and the sediment prisms along the Alaska and Canada margins, outboard from basinward margins (hingelines) of the rift shoulders that formed during extensional opening of the Canada Basin. The province includes the Mackenzie River delta and slope, the outer shelves and marine slopes along the Arctic margins of Alaska and Canada, and the deep Canada Basin.

The province is divided into four assessment units (AUs): (1) The Canning-Mackenzie Deformed Margin AU is that part of the rifted margin where the Brooks Range orogenic belt has overridden the rift shoulder and is deforming the rifted-margin prism of sediment outboard of the hingeline. This is the only part of the Amerasia Basin Province that has been explored and—even though more than 3 billion barrels of oil equivalent (BBOE) of oil, gas, and condensate have been discovered— none has been commercially produced. (2) The Alaska Passive Margin AU is the rifted-margin prism of sediment lying beneath the Beaufort Sea outer shelf and slope that has not been deformed by tectonism. (3) The Canada Passive Margin AU is the rifted-margin prism of sediment lying beneath the Arctic outer shelf and slope (also known as the polar margin) of Canada that has not been deformed by tectonism. (4) The Canada Basin AU includes the sedimentary wedge that lies beneath the deep Canada Basin, north of the marine slope developed along the Alaska and Canada margins. Mean estimates of risked, undiscovered, technically recoverable resources include more than 6 billion barrels of oil (BBO), more than 19 trillion cubic feet (TCF) of associated gas, and more than 16 TCF of nonassociated gas in the Canning-Mackenzie Deformed Margin AU; about 1 BBO, about 3 TCF of associated gas, and about 3 TCF of associated gas in the Alaska Passive Margin AU; and more than 2 BBO, about 7 TCF of associated gas, and about 8 TCF of nonassociated gas in the Canada Passive Margin AU. Quantities of natural gas liquids also are assessed in each AU. The Canada Basin AU was not quantitatively assessed because it is judged to hold less than 10 percent probability of containing at least one accumulation of 50 million barrels of oil equivalent.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1824BB","usgsCitation":"Houseknecht, D.W., Bird, K.J., and Garrity, C.P., 2020, Geology and assessment of undiscovered oil and gas resources of the Amerasia Basin Province, 2008, chap. BB of Moore, T.E., and Gautier, D.L., eds., The 2008 Circum-Arctic Resource Appraisal: U.S. Geological Survey Professional Paper 1824, 33 p., https://doi.org/10.3133/pp1824BB. [Supersedes USGS Scientific Investigations Report 2012–5146.","productDescription":"Report: viii, 33 p.; 3 Appendixes","onlineOnly":"Y","ipdsId":"IP-114214","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":371072,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/bb/pp1824bb_appendix3.xlsx","text":"Appendix 3 —","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter BB Appendix 3","linkHelpText":"Input data for the Canada Passive Margin Assessment Unit"},{"id":371071,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/bb/pp1824bb_appendix2.xlsx","text":"Appendix 2 —","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter BB Appendix 2","linkHelpText":"Input data for the Alaska Passive Margin Assessment Unit"},{"id":371070,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/bb/pp1824bb_appendix1.xlsx","text":"Appendix 1 —","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter BB Appendix 1","linkHelpText":"Input data for the Canning-Mackenzie Deformed Margin Assessment Unit"},{"id":371069,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1824/bb/pp1824bb.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter BB"},{"id":371068,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1824/bb/coverthb.jpg"},{"id":399505,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109586.htm"}],"country":"United States, Canada","state":"Alaska","otherGeospatial":"Amerasia Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -165,\n 69.75\n ],\n [\n -85,\n 69.75\n ],\n [\n -85,\n 80\n ],\n [\n -165,\n 80\n ],\n [\n -165,\n 69.75\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact Information, Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
FAX 650-329-4936

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-01-08","noUsgsAuthors":false,"publicationDate":"2020-01-08","publicationStatus":"PW","contributors":{"editors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":1033,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":779121,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":779122,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":776514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bird, Kenneth J.","contributorId":208143,"corporation":false,"usgs":false,"family":"Bird","given":"Kenneth J.","affiliations":[{"id":27856,"text":"USGS-retired","active":true,"usgs":false}],"preferred":false,"id":776515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrity, Christopher P. 0000-0002-5565-1818 cgarrity@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":644,"corporation":false,"usgs":true,"family":"Garrity","given":"Christopher","email":"cgarrity@usgs.gov","middleInitial":"P.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":776516,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70207580,"text":"pp1842U - 2019 - The effects of management practices on grassland birds—Horned Lark (Eremophila alpestris)","interactions":[{"subject":{"id":70207580,"text":"pp1842U - 2019 - The effects of management practices on grassland birds—Horned Lark (Eremophila alpestris)","indexId":"pp1842U","publicationYear":"2019","noYear":false,"chapter":"U","displayTitle":"The Effects of Management Practices on Grassland Birds—Horned Lark (Eremophila alpestris)","title":"The effects of management practices on grassland birds—Horned Lark (Eremophila alpestris)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-20T21:21:35.071683","indexId":"pp1842U","displayToPublicDate":"2020-01-08T11:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"U","displayTitle":"The Effects of Management Practices on Grassland Birds—Horned Lark (Eremophila alpestris)","title":"The effects of management practices on grassland birds—Horned Lark (Eremophila alpestris)","docAbstract":"

The key to Horned Lark (Eremophila alpestris) management is maintaining areas with short, sparse vegetation by burning, mowing, or grazing. Horned Larks have been reported to use habitats with less than or equal to (≤) 70 centimeters (cm) average vegetation height, 3–26 cm visual obstruction reading, 15–67 percent grass cover, 3–70 percent forb cover, ≤21 percent shrub cover, 1–44 percent bare ground, ≤63 percent litter cover, and ≤9 cm litter depth.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842U","usgsCitation":"Dinkins, M.F., Igl, L.D., Shaffer, J.A., Johnson, D.H., Zimmerman, A.L., Parkin, B.D., Goldade, C.M., and Euliss, B.R., 2019, The effects of management practices on grassland birds—Horned Lark (Eremophila alpestris) (ver. 1.1, July 2022), chap. U of Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 24 p., https://doi.org/10.3133/pp1842U.","productDescription":"v, 24 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-097149 ","costCenters":[],"links":[{"id":403248,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1842/u/versionHist.txt","size":"1 kB","linkFileType":{"id":2,"text":"txt"}},{"id":370702,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/u/pp1842u.pdf","text":"Report","size":"2.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–U"},{"id":370701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/u/coverthb2.jpg"}],"edition":"Version 1.0: January 8, 2020; Version 1.1: July 8, 2022","contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-01-08","revisedDate":"2022-07-08","noUsgsAuthors":false,"publicationDate":"2020-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Dinkins, Meghan F.","contributorId":216019,"corporation":false,"usgs":false,"family":"Dinkins","given":"Meghan","email":"","middleInitial":"F.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":778593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":778594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":778595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":219230,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":778596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Amy L.","contributorId":217210,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":778597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parkin, Barry D.","contributorId":216020,"corporation":false,"usgs":false,"family":"Parkin","given":"Barry","email":"","middleInitial":"D.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":778598,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldade, Christopher M.","contributorId":90668,"corporation":false,"usgs":true,"family":"Goldade","given":"Christopher M.","affiliations":[],"preferred":false,"id":778599,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":778600,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70206935,"text":"70206935 - 2019 - Limited detection of antibodies to clade 2.3.4.4 A/Goose/Guangdong/1/1996 lineage highly pathogenic H5 avian influenza virus in North American waterfowl","interactions":[],"lastModifiedDate":"2020-01-08T16:51:16","indexId":"70206935","displayToPublicDate":"2020-01-06T16:20:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Limited detection of antibodies to clade 2.3.4.4 A/Goose/Guangdong/1/1996 lineage highly pathogenic H5 avian influenza virus in North American waterfowl","docAbstract":"

During 2014, highly pathogenic (HP) influenza A viruses (IAVs) of the A/Goose/Guangdong/1/1996 lineage (GsGD-HP-H5), originating from Asia, were detected in domestic poultry and wild birds in Canada and the US. These clade 2.3.4.4 GsGD-HP-H5 viruses included reassortants possessing North American lineage gene segments; were detected in wild birds in the Pacific, Central, and Mississippi flyways; and caused the largest HP IAV outbreak in poultry in US history. To determine if an antibody response indicative of previous infection with clade 2.3.4.4 GsGD-HP-H5 IAV could be detected in North American wild waterfowl sampled before, during, and after the 2014–15 outbreak, sera from 2,793 geese and 3,715 ducks were tested by blocking enzyme-linked immunosorbent assay and hemagglutination inhibition (HI) tests using both clade 2.3.4.4 GsGD-HPH5 and North American lineage low pathogenic (LP) H5 IAV antigens. We detected an antibody response meeting a comparative titer-based criteria (HI titer observed with 2.3.4.4 GsGD-HP-H5 antigens exceeded the titer observed for LP H5 antigen by two or more dilutions) for previous infection with clade 2.3.4.4 GsGD-HP-H5 IAV in only five birds, one Blue-winged Teal (Spatula discors) sampled during the outbreak and three Mallards (Anas platyrhynchos) and one Canada Goose (Branta canadensis) sampled during the post-outbreak period. These serologic results are consistent with the spatiotemporal extent of the outbreak in wild birds in North America during 2014 and 2015 and limited exposure of waterfowl to GsGD-HP-H5 IAV, particularly in the central and eastern US.

","language":"English","publisher":"BioOne Complete","doi":"10.7589/2019-01-003","usgsCitation":"Stallknecht, D.E., Kienzle-Dean, C., Davis-Fields, N., Jennelle, C.S., Bowman, A.S., Nolting, J.M., Boyce, W., Crum, J., Santos, J., Brown, J.D., Prosser, D., De La Cruz, S.E., Ackerman, J., Casazza, M.L., Krauss, S., Perez, D., Ramey, A.M., and Poulson, R., 2019, Limited detection of antibodies to clade 2.3.4.4 A/Goose/Guangdong/1/1996 lineage highly pathogenic H5 avian influenza virus in North American waterfowl: Journal of Wildlife Diseases, v. 56, no. 1, p. 47-57, https://doi.org/10.7589/2019-01-003.","productDescription":"11 p.","startPage":"47","endPage":"57","ipdsId":"IP-102272","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research 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T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":776313,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":779159,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Krauss, Scott","contributorId":190854,"corporation":false,"usgs":false,"family":"Krauss","given":"Scott","email":"","affiliations":[],"preferred":false,"id":776314,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Perez, Daniel","contributorId":220954,"corporation":false,"usgs":false,"family":"Perez","given":"Daniel","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":776315,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","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":776300,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":776316,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70207534,"text":"ofr20191145 - 2019 - Cross section of the North Carolina coastal plain from Enfield through Cape Hatteras","interactions":[],"lastModifiedDate":"2022-04-21T20:15:36.129511","indexId":"ofr20191145","displayToPublicDate":"2020-01-06T15:40:00","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":"2019-1145","displayTitle":"Cross Section of the North Carolina Coastal Plain from Enfield through Cape Hatteras","title":"Cross section of the North Carolina coastal plain from Enfield through Cape Hatteras","docAbstract":"

Introduction

The Atlantic Coastal Plain, the southeasternmost physiographic province in the United States, is underlain by strata that regionally dip gently eastward and gradually thicken toward the Atlantic Ocean basin. These strata, ranging in age from Middle Jurassic to Holocene, accumulated along the eastern margin of North America after the break-up of the supercontinent Pangaea during the Early Jurassic. In the east-central United States north of Florida, Cape Hatteras is the point of land that most closely approaches the eastern edge of the Atlantic Continental Shelf of the United States. In 1946, Esso (now part of ExxonMobil) drilled a deep oil exploration well to basement rock near the Cape Hatteras lighthouse. No oil or gas was found there, or in any of the other test wells that were drilled within the onshore North Carolina Coastal Plain. Recent work indicates that the top of the oil window lies at 9,000 feet near the base of the Cape Hatteras Esso #1 test well. Therefore, any mature petroleum source rocks that may be present in the North Carolina Coastal Plain are only likely to be found east of the present coastline.

Although the Cape Hatteras test well did not produce oil or gas, it did produce a wealth of stratigraphic information about the outer portion of the onshore Atlantic Continental Shelf. Advances in global stratigraphic correlation, in tandem with our analyses of calcareous nannofossils and dinoflagellate cysts (dinocysts) from the Cape Hatteras test-well spot samples have produced significant advances beyond earlier interpretations of this well and other deep test wells inshore of Cape Hatteras. These results, when coupled with work done offshore of Cape Hatteras, have allowed us to create a more detailed cross section of the North Carolina Coastal Plain and adjacent continental shelf than previously possible.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191145","usgsCitation":"Weems, R.E., Self-Trail, J.M., and Edwards L.E., 2019, Cross section of the North Carolina coastal plain from Enfield through Cape Hatteras: U.S. Geological Survey Open-File Report 2019–1145, 2 sheets, https://doi.org/10.3133/ofr20191145.","productDescription":"2 Sheets: 40.00 x 37.00 inches and 35.00 x 37.00 inches","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-102465","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":399432,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109585.htm"},{"id":370654,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1145/ofr20191145_sheet2.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1145"},{"id":371011,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1145/ofr20191145_sheet1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1145"},{"id":370630,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1145/coverthb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.6513671875,\n 34.63320791137959\n ],\n [\n -75.5419921875,\n 34.63320791137959\n ],\n [\n -75.5419921875,\n 36.1733569352216\n ],\n [\n -77.6513671875,\n 36.1733569352216\n ],\n [\n -77.6513671875,\n 34.63320791137959\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Florence Bascom Geoscience Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-01-06","noUsgsAuthors":false,"publicationDate":"2020-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":778362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":778361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":778363,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202447,"text":"sim3428 - 2019 - Geologic map of the northern Harrat Rahat volcanic field, Kingdom of Saudi Arabia","interactions":[],"lastModifiedDate":"2020-01-02T19:38:26","indexId":"sim3428","displayToPublicDate":"2020-01-02T14:30:55","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3428","displayTitle":"Geologic Map of the Northern Harrat Rahat Volcanic Field, Kingdom of Saudi Arabia","title":"Geologic map of the northern Harrat Rahat volcanic field, Kingdom of Saudi Arabia","docAbstract":"

Harrat Rahat, in the west-central part of the Kingdom of Saudi Arabia, is the largest of 15 Cenozoic harrats (Arabic for “volcanic field”) distributed on the Arabian plate. It extends more than 300 km north-south and 50 to 75 km east-west, and it covers an area of approximately 20,000 km2, has a volume of approximately 2,000 km3, and encompasses more than 900 observable vents. Volcanism commenced around 10 Ma and has continued into historic time, the most recent eruption occurring in 1256 C.E. Volcanic products are dominated by alkali basalt and hawaiite lava flows, with subordinate mugearite lava flows, as well as benmoreite and trachyte lava flows, domes, and pyroclastic flows.

This geologic map distinguishes 239 eruptive units that cover an area of 3,340 km2 in northern Harrat Rahat and the adjacent city of Al-Madinah. Results are presented as a geologic map of the study area at 1:75,000 scale and of smaller regions of particular interest at 1:25,000 scale, along with interpretive text.

Most units are basaltic lava flows that erupted from the broadly north-northwest-trending main vent axis that constructed the topographic crest of the volcanic field. This 300- to 400-m-high vent axis, which has a width of 6 to 10 km, lies in the eastern one-third of northern Harrat Rahat. Basalt and hawaiite lava flows can extend as far as 27 km from their vents, but most are 10 to 15 km long. Evolved products such as mugearites, benmoreites, and trachytes are less extensive; the trachytic pyroclastic flows extend as far as 9 km from their source vents, although most only reach 4 to 6 km. Vents of the evolved products are restricted to the main vent axis or its flanks.

No volcanic rocks older than 1.2 Ma are exposed in the map area, and about 90 percent of the exposed volcanic rocks erupted during the past 570 thousand years. As depicted on the geologic maps, eruption ages and field relations define 12 eruptive stages for northern Harrat Rahat for the past 1.2 million years. Other important geochronological findings include (1) several late Pleistocene lava flows near Al-Madinah, which previously were interpreted as Holocene from archeological evidence; (2) the eruption age of a cluster of cinder cones and small lava flows in the western outskirts of Al-Madinah (previously ascribed to an eruption in 641 C.E.) is actually 13.3±1.9 ka, close to the Pleistocene-Holocene boundary; and (3) only two Holocene eruptions have been identified in the map area, those of the historically described basalt of Al Labah in 1256 C.E. and the dome and pyroclastic flows of the trachyte of Um Rgaibah at 4.2±5.2 ka.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3428","collaboration":"Jointly published with the Saudi Geological Survey [as Saudi Geological Survey Special Report SGS–SP–2019–2]","usgsCitation":"Downs, D.T., Robinson, J.E., Stelten, M.E., Champion, D.E., Dietterich, H.R., Sisson, T.W., Zahran, H., Hassan, K., and Shawali, J., 2019, Geologic map of the northern Harrat Rahat volcanic field, Kingdom of Saudi Arabia: U.S. Geological Survey Scientific Investigations Map 3428 [also released as Saudi Geological Survey Special Report SGS–SP–2019–2], 65 p., 4 sheets, scales 1:75,000, 1:25,000, https://doi.org/10.3133/sim3428.","productDescription":"Report: vi, 65 p.; 4 Sheets; Data Release","numberOfPages":"62","additionalOnlineFiles":"Y","ipdsId":"IP-096080","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":370934,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3428/coverthb.jpg"},{"id":370935,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3428/sim3428_pamphlet.pdf","text":"Pamphlet","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3428 Pamphlet"},{"id":370936,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3428/sim3428_sheet1.pdf","text":"Sheet 1","size":"45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3428 Sheet 1","linkHelpText":" - Geologic Map of the Northern Harrat Rahat Volcanic Field, Kingdom of Saudi Arabia"},{"id":370937,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3428/sim3428_sheet2.pdf","text":"Sheet 2","size":"35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3428 Sheet 2","linkHelpText":" - Geologic Map of the Northern, Central, and Southern Fingers Lava Flows, Northern Harrat Rahat Volcanic Field, Kingdom of Saudi Arabia"},{"id":370938,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3428/sim3428_sheet3.pdf","text":"Sheet 3","size":"30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3428 Sheet 3","linkHelpText":" - Geologic Map of the Silicic Volcanic Centers Near Al Efairia, Al Wabarah, and Matan, Northern Harrat Rahat Volcanic Field, Kingdom of Saudi Arabia"},{"id":370939,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3428/sim3428_sheet4.pdf","text":"Sheet 4","size":"18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3428 Sheet 4","linkHelpText":" - Correlation and List of Map Units for the Geologic Map of the Northern Harrat Rahat Volcanic Field, Kingdom of Saudi Arabia"},{"id":370940,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q3WGTN","linkHelpText":"Database for the geologic map of the northern Harrat Rahat volcanic field, Kingdom of Saudi Arabia"}],"country":"Kingdom of Saudi Arabia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[42.77933,16.34789],[42.64957,16.77464],[42.34799,17.07581],[42.27089,17.47472],[41.75438,17.83305],[41.22139,18.6716],[40.93934,19.48649],[40.24765,20.17463],[39.80168,20.33886],[39.1394,21.2919],[39.0237,21.98688],[39.06633,22.57966],[38.49277,23.68845],[38.02386,24.07869],[37.48363,24.28549],[37.15482,24.85848],[37.20949,25.08454],[36.93163,25.60296],[36.6396,25.82623],[36.24914,26.57014],[35.64018,27.37652],[35.13019,28.06335],[34.63234,28.05855],[34.78778,28.60743],[34.83222,28.95748],[34.95604,29.35655],[36.06894,29.19749],[36.50121,29.50525],[36.74053,29.86528],[37.50358,30.00378],[37.66812,30.33867],[37.99885,30.5085],[37.00217,31.50841],[39.00489,32.01022],[39.19547,32.16101],[40.39999,31.88999],[41.88998,31.19001],[44.7095,29.17889],[46.56871,29.09903],[47.45982,29.00252],[47.70885,28.52606],[48.41609,28.552],[48.80759,27.68963],[49.29955,27.46122],[49.47091,27.11],[50.15242,26.68966],[50.21294,26.27703],[50.1133,25.94397],[50.23986,25.60805],[50.52739,25.32781],[50.66056,24.9999],[50.81011,24.75474],[51.11242,24.55633],[51.38961,24.62739],[51.57952,24.2455],[51.61771,24.01422],[52.00073,23.00115],[55.0068,22.49695],[55.20834,22.70833],[55.66666,22],[54.99998,19.99999],[52.00001,19],[49.11667,18.61667],[48.18334,18.16667],[47.46669,17.11668],[47,16.95],[46.74999,17.28334],[46.36666,17.23332],[45.4,17.33334],[45.21665,17.43333],[44.06261,17.41036],[43.79152,17.31998],[43.38079,17.57999],[43.1158,17.08844],[43.21838,16.66689],[42.77933,16.34789]]]},\"properties\":{\"name\":\"Saudi Arabia\"}}]}","contact":"

Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-01-02","noUsgsAuthors":false,"publicationDate":"2020-01-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":758598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":758599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":758600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":758601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":758602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":758603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zahran, Hani M. 0000-0002-0029-3822","orcid":"https://orcid.org/0000-0002-0029-3822","contributorId":203711,"corporation":false,"usgs":false,"family":"Zahran","given":"Hani","email":"","middleInitial":"M.","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":true,"id":758604,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hassan, Khalid","contributorId":203708,"corporation":false,"usgs":false,"family":"Hassan","given":"Khalid","email":"","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":false,"id":758605,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shawali, Jamal","contributorId":203709,"corporation":false,"usgs":false,"family":"Shawali","given":"Jamal","email":"","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":false,"id":758606,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70204805,"text":"sir20195085 - 2019 - Estimating sediment flux to Jamaica Bay, New York","interactions":[],"lastModifiedDate":"2022-04-22T21:29:34.32887","indexId":"sir20195085","displayToPublicDate":"2020-01-02T09:40:00","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":"2019-5085","displayTitle":"Estimating Sediment Flux to Jamaica Bay, New York","title":"Estimating sediment flux to Jamaica Bay, New York","docAbstract":"

Tidal wetland loss in Jamaica Bay, New York, is well documented. Maintaining wetlands is important from an environmental and ecological perspective and because wetlands buffer coastal communities from storm damage. An estimate of suspended-sediment flux through Rockaway Inlet is needed to improve understanding of sediment dynamics in Jamaica Bay and could be used in salt marsh restoration efforts. To estimate sediment flux, an index-velocity station and turbidity sensor were installed and operated in Rockaway Inlet near the mouth of Jamaica Bay from November 2014 to December 2016 and point and cross-sectional suspended-sediment samples were collected and analyzed. Index-velocity data coupled with cross-sectional acoustic Doppler current profiler measurements were used to develop an index-velocity rating. A simple linear regression rating with a strong coefficient of determination (R2 of 0.981) was developed. Discharge was computed from the stage-area and index-velocity relations, and a low-pass Godin filter was used to remove the tidal aliasing. A second simple linear regression (R2 of 0.75) between fixed-point suspended-sediment concentration (SSC) samples and turbidity allowed for the calculation of SSC through Rockaway Inlet, and then sediment flux was found by multiplying SSC and discharge for continuous (6-minute) data. Turbidity values were low in the near-ocean conditions at Rockaway Inlet, with daily means ranging from 0.6 to 8.2 formazin nephelometric units during the period of November 2014 through December 2016. During this time, computed daily mean suspended-sediment concentrations ranged from 3 to 13 milligrams per liter. High sediment loads generally occurred during incoming tides, during both storm and nonstorm conditions, suggesting a net inward sediment flux into Jamaica Bay. The fate of sediment after it enters Jamaica Bay was not investigated. Trends in sediment flux during major storms could not be evaluated because no major storms occurred during this investigation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195085","usgsCitation":"Cartwright, R.A., and Simonson, A.E., 2019, Estimating sediment flux to Jamaica Bay, New York: U.S. Geological Survey Scientific Investigations Report 2019–5085, 25 p., https://doi.org/10.3133/sir20195085.","productDescription":"vii, 25 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-090709","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":399538,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109566.htm"},{"id":370919,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5085/sir20195085_hi_res.pdf","text":"Report","size":"5.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5085","linkHelpText":"- high resolution, not accessible as defined in Section 508"},{"id":370783,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5085/sir20195085.pdf","text":"Report","size":"3.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5085"},{"id":370634,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5085/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.94004821777344,\n 40.54980899258771\n ],\n [\n -73.76014709472656,\n 40.603526799885884\n ],\n [\n -73.729248046875,\n 40.645740600821476\n ],\n [\n -73.75053405761719,\n 40.65303410892721\n ],\n [\n -73.77113342285156,\n 40.63844629557923\n ],\n [\n -73.81507873535156,\n 40.66293116628907\n ],\n [\n -73.8720703125,\n 40.65615965408628\n ],\n [\n -73.9215087890625,\n 40.61916465186328\n ],\n [\n -73.93043518066406,\n 40.589449604232975\n ],\n [\n -73.95790100097656,\n 40.57536944461837\n ],\n [\n -73.94004821777344,\n 40.54980899258771\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-12-30","noUsgsAuthors":false,"publicationDate":"2019-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Cartwright, Richard A. 0000-0002-2651-4179 racart@usgs.gov","orcid":"https://orcid.org/0000-0002-2651-4179","contributorId":218171,"corporation":false,"usgs":true,"family":"Cartwright","given":"Richard","email":"racart@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simonson, Amy E. 0000-0001-8468-5382","orcid":"https://orcid.org/0000-0001-8468-5382","contributorId":217671,"corporation":false,"usgs":true,"family":"Simonson","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768548,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216420,"text":"70216420 - 2019 - Managing effects of drought and other water resource challenges in Alaska and the Pacific Northwest","interactions":[],"lastModifiedDate":"2020-11-18T00:46:09.083964","indexId":"70216420","displayToPublicDate":"2019-12-31T18:42:25","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"3","title":"Managing effects of drought and other water resource challenges in Alaska and the Pacific Northwest","docAbstract":"This is a Cooperator Report. 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Precipitation patterns in the PNW are strongly governed by orographic phenomena, with high, persistent snowpack in the higher mountains (e.g., record annual snowfall of 1,130 in at Mount Baker, Washington in 1999-2000). \n\nEcosystems in the PNW include productive temperate coniferous forests near the Pacific coast and along the (wet) west slope of the Cascade Range, less productive mixed-conifer forest along the (dry) east slope of the Cascades and in interior mountain ranges, and sagebrush-steppe and shrublands at lower elevations in much of the interior and mountain valleys. Large rivers and thousands of smaller tributaries form an extensive network of riparian, wetland, and estuarine systems that provide both critical hydrologic function and biological diversity at broad and fine spatial scales.\n\nAlthough Alaska and the Pacific Northwest differ in important physical, ecological, and social features, the importance of natural resources is evident in both regions. Water is important for wildlife and people. Water provides critical habitat for salmon, which are culturally and economically valuable species. Timber production has declined in recent decades. Recreation has emerged as a major revenue source.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of drought on forests and rangelands in the United States: Translating science into management responses","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"USDA Forest Service","doi":"10.2737/WO-GTR-98","collaboration":"US Forest Service","usgsCitation":"Halofsky, J.E., Littell, J., Peterson, D.L., Hayward, G.D., and Gravenmier, R., 2019, Managing effects of drought and other water resource challenges in Alaska and the Pacific Northwest, 29 p., https://doi.org/10.2737/WO-GTR-98.","productDescription":"29 p.","startPage":"41","endPage":"69","ipdsId":"IP-097142","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":458854,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2737/wo-gtr-98","text":"Publisher Index Page"},{"id":380570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -126.298828125,\n 41.83682786072714\n ],\n [\n -116.27929687499999,\n 41.83682786072714\n ],\n [\n -116.27929687499999,\n 49.781264058178344\n ],\n [\n -126.298828125,\n 49.781264058178344\n ],\n [\n -126.298828125,\n 41.83682786072714\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -129.19921875,\n 54.67383096593114\n ],\n [\n -130.4296875,\n 56.46249048388979\n ],\n [\n -134.296875,\n 59.085738569819505\n ],\n [\n -136.0546875,\n 59.80063426102869\n ],\n [\n -140.09765625,\n 60.50052541051131\n ],\n [\n -140.9765625,\n 69.59589006237648\n ],\n [\n -149.4140625,\n 70.61261423801925\n ],\n [\n -158.203125,\n 70.95969716686398\n ],\n [\n -165.76171875,\n 69.09993967425089\n ],\n [\n -166.9921875,\n 66.99884379185184\n ],\n [\n -167.51953124999997,\n 65.5129625532949\n ],\n [\n -166.9921875,\n 61.85614879566797\n ],\n [\n -164.1796875,\n 55.07836723201515\n ],\n [\n -164.00390625,\n 54.059387886623576\n ],\n [\n -158.73046875,\n 54.67383096593114\n ],\n [\n -150.64453125,\n 58.35563036280964\n ],\n [\n -144.66796875,\n 59.88893689676585\n ],\n [\n -141.328125,\n 59.44507509904714\n ],\n [\n -134.12109375,\n 55.677584411089526\n ],\n [\n -131.8359375,\n 54.059387886623576\n ],\n [\n -129.90234375,\n 53.12040528310657\n ],\n [\n -129.0234375,\n 54.059387886623576\n ],\n [\n -129.19921875,\n 54.67383096593114\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Halofsky, Jessica E.","contributorId":146628,"corporation":false,"usgs":false,"family":"Halofsky","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":804971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":804972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, David L.","contributorId":94643,"corporation":false,"usgs":false,"family":"Peterson","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":804973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayward, Gregory D.","contributorId":209846,"corporation":false,"usgs":false,"family":"Hayward","given":"Gregory","email":"","middleInitial":"D.","affiliations":[{"id":38010,"text":"US Forest Service, Alaska Region","active":true,"usgs":false}],"preferred":false,"id":804974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gravenmier, Rebecca","contributorId":244922,"corporation":false,"usgs":false,"family":"Gravenmier","given":"Rebecca","email":"","affiliations":[{"id":49026,"text":"US Forest Service, PNW Research Station","active":true,"usgs":false}],"preferred":false,"id":804975,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206933,"text":"70206933 - 2019 - Using mobile GIS applications to support mineral resource investigations in the Eglab region, Algeria","interactions":[],"lastModifiedDate":"2020-06-02T23:00:23.425819","indexId":"70206933","displayToPublicDate":"2019-12-31T17:47:55","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using mobile GIS applications to support mineral resource investigations in the Eglab region, Algeria","docAbstract":"The Algerian Geological Survey Agency – U.S. Geological Survey (ASGA-USGS) mineral resource assessment project in the Eglab region, Algeria, comprises the eastern part of the Reguibat Shield bounded by the Tindouf, Reggane, and Taoudeni basins to the north, east, and south, respectively. The use of mobile GIS applications on handheld tablets facilitated team coordination and ease of transition from field planning and preparation, data collection and integration, and transfer back into project GIS databases. Mobile GIS applications facilitated collaboration between teams collecting disparate data types to support the geologic, geochronological, geochemical, field spectral, and geophysical investigations. This technology was used in parallel with the traditional field investigation methods. These tailored applications on GPS-enabled tablets provided a platform for utilization of GIS data in the field and allowed for standardized data collection, picklists, fewer transcription errors, and the ability to store photos, coordinates, and field notes together in an integrated system. The suite of Environmental Systems Research Institute, Inc. (Esri™) mobile applications allowed for customized use on multiple platforms (Android/Windows/iOS) to streamline data collection, analysis, and storage.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The 4th IGCP638 meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"4th IGCP638 Meeting","conferenceLocation":"Algiers, Algeria","language":"English","publisher":"IGCP638","usgsCitation":"Johnson, M., Belanteur, N.F., and Taylor, C.D., 2019, Using mobile GIS applications to support mineral resource investigations in the Eglab region, Algeria, in The 4th IGCP638 meeting, Algiers, Algeria, 2 p.","productDescription":"2 p.","ipdsId":"IP-111524","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":375275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375274,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://igcp638.univ-rennes1.fr/index.php/accueil/2019-meeting"}],"country":"Algeria","otherGeospatial":"Eglab region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -6.866455078125,\n 24.597080137096412\n ],\n [\n -0.32958984375,\n 24.597080137096412\n ],\n [\n -0.32958984375,\n 26.902476886279832\n ],\n [\n -6.866455078125,\n 26.902476886279832\n ],\n [\n -6.866455078125,\n 24.597080137096412\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":776295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belanteur, Nadjib F. 0000-0002-4149-3812","orcid":"https://orcid.org/0000-0002-4149-3812","contributorId":220949,"corporation":false,"usgs":false,"family":"Belanteur","given":"Nadjib","email":"","middleInitial":"F.","affiliations":[{"id":40298,"text":"Algerian Geological Survey Agency","active":true,"usgs":false}],"preferred":false,"id":776296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Cliff D. 0000-0001-6376-6298 ctaylor@usgs.gov","orcid":"https://orcid.org/0000-0001-6376-6298","contributorId":1283,"corporation":false,"usgs":true,"family":"Taylor","given":"Cliff","email":"ctaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":776297,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208333,"text":"70208333 - 2019 - Council monitoring and assessment program (CMAP) compilation of existing habitat and water quality monitoring and mapping assessments for the Gulf of Mexico Region","interactions":[],"lastModifiedDate":"2021-05-10T17:40:55.570625","indexId":"70208333","displayToPublicDate":"2019-12-31T17:16:20","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":269,"text":"NOAA Technical Memorandum","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"269","title":"Council monitoring and assessment program (CMAP) compilation of existing habitat and water quality monitoring and mapping assessments for the Gulf of Mexico Region","docAbstract":"

This report is a deliverable to the RESTORE Council for Task 7: Document the existing baseline habitat and water quality conditions prior to implementation of the restoration projects; these baseline conditions will serve as a basis for measuring change/progress after restoration. It is the second in a series of CMAP reports. The first report describes the process and development of the CMAP monitoring program inventory, herein the Inventory (NOAA and USGS, 2019). The goals and objectives for the Inventory were to identify and document existing habitat and water quality monitoring, and mapping programs, data, and protocols in the GoM. The Inventory built upon existing databases, such as the Ocean Conservancy (Love, 2015), Global Change Monitoring Portal (GCMP; GCMP, 2017),

and Gulf of Mexico Alliance (GOMA) databases (GOMA, 2013), including habitat and water quality monitoring programs at national, regional, State and local scales. This second report identifies and catalogs existing water quality, habitat and mapping assessments within the Gulf of Mexico. This assessment catalog, herein the Catalog, was intended to supplement the Inventory to identify the best available science necessary for restoration, conservation or management activities. Both the Inventory and the Catalog databases will be accessible to the Council and the greater GoM restoration, monitoring, management, and academic communities through a searchable web-based tool.

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Substantial effort has been dedicated to developing reliable monitoring schemes for North American bird populations, but our ability to monitor bird populations in the boreal forest remains limited because of the sparsity of long-term data sets, particularly in northerly regions. Given the importance of the boreal forest for many migratory birds, we set out to (1) summarize the main challenges associated with monitoring avian populations, (2) describe the available statistical tools for population monitoring and their applications, and (3) identify future directions to overcome current challenges in monitoring bird populations in the boreal forest. Defining and delineating populations of interest and identifying the drivers that affect those populations present the greatest current challenges. This is because migratory birds may be affected by many population-limiting processes at different stages of their annual life cycles. These factors are often hierarchically structured and can influence populations at the local, regional, or continental scales. Some of the challenges associated with delineating populations and identifying population drivers can be addressed via the plethora of sampling and analytic methods available to examine population change over time. Choosing the proper analytic methods depends on the goals of the study and the nature of the data such as single or multiple populations, repeated occurrence or count-based surveys, or demographic rates. Recent advances in hierarchical and integrated population models make these analytic approaches some of the most promising avenues for the development of future methods. However, these tools require large data sets, and acquiring sufficient data on bird populations and potential explanatory variables is difficult in the boreal forest. If the current challenges to monitoring birds in the boreal forest are to be overcome, serious effort should be dedicated to integrating existing data and making them accessible. Enhancing survey effort through multispecies surveys will also play an important role. Implementing spatially balanced sampling plans with a rotating panel design could balance the trade-offs between spatial versus temporal replication at an affordable cost. Improving the accessibility of environmental covariates that are spatially and temporally explicit would also enable development of mechanistic population models that improve our understanding of migratory bird population dynamics. Finally, given that long-term monitoring programs can take many decades before delivering reliable population trends and that organizational priorities often change over time, we suggest that collaborative efforts will help ensure the long-term survival of new monitoring programs.

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report","interactions":[],"lastModifiedDate":"2020-01-06T20:09:10","indexId":"ofr20191123","displayToPublicDate":"2019-12-31T15:15:00","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":"2019-1123","displayTitle":"Community for Data Integration 2018 Annual Report","title":"Community for Data Integration 2018 annual report","docAbstract":"

The Community for Data Integration (CDI) is a community of practice whose purpose is to build the U.S. Geological Survey knowledge base in data integration. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, trainings, and other CDI-sponsored events in fiscal year 2018. The report also describes the objectives of the 10 CDI-funded projects for the year. The CDI had a topical theme for fiscal year 2018—Risk assessment and hazards vulnerability in support of integrated predictive science capacity. This report describes how the community coordinated its activities around this theme.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191123","usgsCitation":"Hsu, L., and Colasuonno, L., 2019, Community for Data Integration 2018 annual report: U.S. Geological Survey Open-File Report 2019–1123, 26 p., https://doi.org/10.3133/ofr20191123.","productDescription":"v, 26 p.","onlineOnly":"Y","ipdsId":"IP-106299","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":370860,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1123/coverthb.jpg"},{"id":370861,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1123/ofr20191123.pdf","text":"Report","size":"5.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1123"}],"contact":"

Director, Science Analytics and Synthesis
U.S. Geological Survey
National Center, MS 108
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-12-31","noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hsu, Leslie 0000-0002-5353-807X lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":774406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colasuonno, Leah 0000-0001-8880-0093","orcid":"https://orcid.org/0000-0001-8880-0093","contributorId":220182,"corporation":false,"usgs":true,"family":"Colasuonno","given":"Leah","email":"","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":774407,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203959,"text":"70203959 - 2019 - Element cycling in the Middle-Late Triassic Shublik Formation: Mineralization vs. recycling of biolimiting nutrients in an unconventional resource play","interactions":[],"lastModifiedDate":"2020-05-28T19:05:23.128561","indexId":"70203959","displayToPublicDate":"2019-12-31T14:04:37","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Element cycling in the Middle-Late Triassic Shublik Formation: Mineralization vs. recycling of biolimiting nutrients in an unconventional resource play","docAbstract":"

The Triassic Shublik Formation in northern Alaska is one of the major source rocks in North America, having generated much of the petroleum in Prudhoe Bay and associated fields. The middle Shublik Formation, the focus of this study, is a highly phosphatic, organic-rich carbonate mudstone interval. Apatite cements can occur as phosphatic peloids, steinkerns, elongate or angular nodules, and shells or shell fragments. We propose a model whereby phosphatization is favored in early diagenetic environments that have low concentrations of dissolved iron relative to reactive organic matter in the pore water sulfate reduction zone.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"New directions in geosciences for unconventional resources","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"New Directions in Geosciences for Unconventional Resources","conferenceDate":"October 15-17, 2019","conferenceLocation":"Banff, Canada","language":"English","publisher":"CSPG","usgsCitation":"Whidden, K.J., Dumoulin, J.A., Macquaker, J., Birdwell, J.E., Boehlke, A., and French, K.L., 2019, Element cycling in the Middle-Late Triassic Shublik Formation: Mineralization vs. recycling of biolimiting nutrients in an unconventional resource play, in New directions in geosciences for unconventional resources, Banff, Canada, October 15-17, 2019, 11 p.","productDescription":"11 p.","ipdsId":"IP-108677","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364996,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cspg.org/Conferences/Conference_Archives/Gussow_Conferences/Conferences/Gussow/Gussow_Archive/Gussow-Archives.aspx?hkey=c92a974d-b253-4d2e-b6df-88e61db23877"}],"country":"United States","state":"Alaska","otherGeospatial":"National Petroleum Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.509765625,\n 67.13582938531948\n ],\n [\n -150.029296875,\n 67.13582938531948\n ],\n [\n -150.029296875,\n 71.35706654962706\n ],\n [\n -162.509765625,\n 71.35706654962706\n ],\n [\n -162.509765625,\n 67.13582938531948\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@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":764975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":764976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macquaker, James","contributorId":216534,"corporation":false,"usgs":false,"family":"Macquaker","given":"James","email":"","affiliations":[{"id":39472,"text":"ExxonMobil","active":true,"usgs":false}],"preferred":false,"id":764977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":764978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":789929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":764979,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215873,"text":"70215873 - 2019 - Applying circuit theory and landscape linkage maps to reintroduction planning for California condors","interactions":[],"lastModifiedDate":"2020-11-02T12:50:26.995399","indexId":"70215873","displayToPublicDate":"2019-12-31T12:56:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Applying circuit theory and landscape linkage maps to reintroduction planning for California condors","docAbstract":"

Conservation practitioners are increasingly looking to species translocations as a tool to recover imperiled taxa. Quantitative predictions of where animals are likely to move when released into new areas would allow managers to better address the social, institutional, and ecological dimensions of conservation translocations. Using >5 million California condor (Gymnogyps californianus) occurrence locations from 75 individuals, we developed and tested circuit-based models to predict condor movement away from release sites. We found that circuit-based models of electrical current were well calibrated to the distribution of condor movement data in southern and central California (continuous Boyce Index = 0.86 and 0.98, respectively). Model calibration was improved in southern California when additional nodes were added to the circuit to account for nesting and feeding areas, where condor movement densities were higher (continuous Boyce Index = 0.95). Circuit-based projections of electrical current around a proposed release site in northern California comported with the condor’s historical distribution and revealed that, initially, condor movements would likely be most concentrated in northwestern California and southwest Oregon. Landscape linkage maps, which incorporate information on landscape resistance, complement circuit-based models and aid in the identification of specific avenues for population connectivity or areas where movement between populations may be constrained. We found landscape linkages in the Coast Range and the Sierra Nevada provided the most connectivity to a proposed reintroduction site in northern California. Our methods are applicable to conservation translocations for other species and are flexible, allowing researchers to develop multiple competing hypotheses when there are uncertainties about landscape or social attractants, or uncertainties in the landscape conductance surface.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0226491","usgsCitation":"D’Elia, J., Brandt, J., Burnett, L., Haig, S.M., Hollenbeck, J.P., Kirkland, S., Marcot, B.G., Punzalan, A., West, C.J., Williams-Claussen, T., Wolstenholme, R., and Young, R., 2019, Applying circuit theory and landscape linkage maps to reintroduction planning for California condors: PLoS ONE, v. 14, no. 12, e0226491, 22 p., https://doi.org/10.1371/journal.pone.0226491.","productDescription":"e0226491, 22 p.","ipdsId":"IP-115028","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":458861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0226491","text":"Publisher Index Page"},{"id":379985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Central California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.68505859375,\n 37.96152331396614\n ],\n [\n -122.03613281249999,\n 36.96744946416934\n ],\n [\n -121.88232421875,\n 36.19109202182454\n ],\n [\n -120.4541015625,\n 34.43409789359469\n ],\n [\n -118.6083984375,\n 33.96158628979907\n ],\n [\n -118.0810546875,\n 34.03445260967645\n ],\n [\n -116.56494140625001,\n 35.24561909420681\n ],\n [\n -119.68505859375,\n 37.96152331396614\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"12","noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"D’Elia, Jesse 0000-0002-1843-8495","orcid":"https://orcid.org/0000-0002-1843-8495","contributorId":244237,"corporation":false,"usgs":false,"family":"D’Elia","given":"Jesse","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":803555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Joe","contributorId":127746,"corporation":false,"usgs":false,"family":"Brandt","given":"Joe","email":"","affiliations":[{"id":7133,"text":"California Condor Recovery Program, US Fish and Wildlife Service, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":803556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burnett, LJ","contributorId":244238,"corporation":false,"usgs":false,"family":"Burnett","given":"LJ","email":"","affiliations":[{"id":48872,"text":"Ventana Wildlife Society","active":true,"usgs":false}],"preferred":false,"id":803557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","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":803558,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hollenbeck, Jeffrey P","contributorId":244239,"corporation":false,"usgs":false,"family":"Hollenbeck","given":"Jeffrey","email":"","middleInitial":"P","affiliations":[{"id":48873,"text":"The Northwest Habitat Institute","active":true,"usgs":false}],"preferred":false,"id":803559,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirkland, S","contributorId":244240,"corporation":false,"usgs":false,"family":"Kirkland","given":"S","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and 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Tribe","active":true,"usgs":false}],"preferred":false,"id":803563,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Williams-Claussen, T","contributorId":244244,"corporation":false,"usgs":false,"family":"Williams-Claussen","given":"T","email":"","affiliations":[{"id":48874,"text":"Yurok Tribe, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":803564,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wolstenholme, Rachel","contributorId":206084,"corporation":false,"usgs":false,"family":"Wolstenholme","given":"Rachel","email":"","affiliations":[{"id":37236,"text":"Pinnacles National Park","active":true,"usgs":false}],"preferred":false,"id":803565,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Young, Richard","contributorId":202719,"corporation":false,"usgs":false,"family":"Young","given":"Richard","affiliations":[],"preferred":false,"id":803566,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70204582,"text":"70204582 - 2019 - Managed aquifer recharge in snow-fed river basins: What, why and how?","interactions":[],"lastModifiedDate":"2020-08-27T17:51:13.062663","indexId":"70204582","displayToPublicDate":"2019-12-31T12:48:45","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6473,"text":"Fact Sheet","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"19-10","title":"Managed aquifer recharge in snow-fed river basins: What, why and how?","docAbstract":"

What does climate change mean for snow-fed river basins?

Climate change poses unique challenges in snow-fed river basins across the western United States because the majority of water supply originates as snow (Dettinger, Udall, & Georgakakos, 2015). In the Sierra Nevada, recent observations include changes in snow accumulation and snowmelt, and shifts in peak streamflow timing (Barnhart et al., 2016; Hatchett et al., 2017; Kim & Jain, 2010; McCabe, Wolock, & Valentin, 2018; Mote, Li, Lettenmaier, Xiao, & Engel, 2018). Such changes upstream alter surface water deliveries downstream, as well as groundwater recharge utilized as both primary and supplemental water supply (Godsey et al., 2014; Harpold, 2016; Jasechko et al., 2014).

basin where snowmelt runoff produces substantial water supply to meet diverse agricultural, environmental and urban water demand (Figure 1). The East and West Forks join at the confluence of the Carson River near the north end of the Carson Valley, a rich agricultural region (40,000 acres) that grows primarily alfalfa hay. The majority of irrigators rely on surface water delivered through a network of earthen ditches constructed in the mid-19th and early 20th centuries. Flow through these earthen networks and the practice of flood irrigation contribute significantly to groundwater recharge.

Because no upstream surface water reservoirs exist, snowpack that accumulates through winter and melts slowly through spring has acted as a “natural” reservoir, providing ample supply through the summer irrigati agricultural, environmental and urban water demand (Figure 1). The East and West Forks join at the confluence of the Carson River near the north end of the season. Some irrigators have permitted access to supplemental groundwater that is useful during periods of drought for augmenting shortfalls in surface water delivery. Groundwater is the primary source of municipal and industrial water supply for surrounding communities (e.g., Carson City, Minden, Gardnerville, Dayton).

Across the basin, water use is highly regulated through federal, tribal, state and local water-sharing agreements based on prior appropriation doctrine (Wilds, 2014). Carson River surface water allocations follow the Alpine Decree, initiated by the United States Department of Interior in 1925 and signed into law in 1980, following 55 years of litigation, to adjudicate surface water rights to individual parties (NDWP, 1999). The Alpine Decree acknowledges return flows to lower river segments, and thus each river segment is distributed autonomously. This means that the most junior water right on an upper segment can be fulfilled before considering the most senior water right on a lower segment. Ultimately, the ruling is at the discretion of the Federal Water Master to satisfy the needs of each water right

Downstream of Carson Valley, surface water flows are stored in Lahontan Reservoir, the nation’s first desert reclamation project (est. 1906), where releases are managed to meet the Newland’s Project irrigation water demand and for environmental use on the Stillwater National Wildlife Refuge. Flows from the Carson River are supplemented through diversions from the Truckee River via the Truckee Canal, resulting in a trans-basin water supply system.

How is the Water for the Seasons research program informing snow-fed river basin communities?

In the Truckee-Carson River System, researchers and local water managers are working together to assess climate change impacts to water supply and explore how model simulations can produce useful information to support local climate adaptation. Twelve key water managers represent agricultural, environmental, urban and regulatory water-use communities, and bring to the table diverse input and perspectives on how to adapt to climate change.

Hydrologists use this input to craft scenarios and simulations that meet the information needs of local water managers. Biannual workshops provide an opportunity for information exchange, where researchers and key water managers generate new knowledge of river system function. That is, researchers share results of models that examine the physical potential, and managers validate the on-the-ground potential, further informing the research process.

Coincident to this research program, the region faced a prolonged drought period (2012-2016) with historically low snowpack, followed by a historic wet year (2017) that brought winter and spring flooding as a result of atmospheric river storm events (Sterle et al., 2019). For the Carson River, an important observation made by managers was that peak streamflow that had traditionally coincided with peak irrigation demands, had shifted to earlier in the spring, with summer baseflow also decreasing (Sterle & Singletary, 2017). Managers shared with researchers concerns over potential future impacts that changing snowpack will have on surface water deliveries and reliance on groundwater, as the region’s population and economy continue to grow. During workshops that occurred over this period, local water managers and researchers discussed ways to evaluate water distribution and use that honors the existing legal framework and accounts for changing snowpack regimes (amount, rain versus snow, timing). In response to managers growing interest, researchers introduced the concept of managed aquifer recharge as one potential strategy to adapt and enhance regional water sustainability.

What is managed aquifer recharge? Simply stated, managed aquifer recharge is the intentional recharge of structures to spread water over agricultural lands, allowing water to naturally infiltrate into the groundwater system (Bouwer, 1999; Niswonger et al., 2017). The latter may occur during the irrigation season by applying excess water, or during the nonirrigation season when evapotranspiration losses are low. Figure 2 illustrates managed aquifer recharge in a snow-fed river basin, where streamflow generated from snowmelt runoff is diverted to agricultural lands to recharge the aquifer. Such flood irrigation practices, including water delivery through earthen ditch networks, provide incidental but significant aquifer recharge through seepage and deep drainage beneath fields (Niswonger, Allander, & Jeton, 2014). The effects of managed aquifer recharge can vary depending on the location and intensity of practice.

For example, implementing managed aquifer recharge water into the groundwater system (Dillon, 2009). This differs from the incidental recharge that may occur as part of normal irrigation practices. Managed recharge may occur by injection into the aquifer through existingwells, or by using existing conveyance adjacent to/along the river’s floodplain has the potential to enhance late-season instream flows due to increased return flows, resulting in greater downstream deliveries as well as improving ecological conditions (Niswonger et al., 2017). Implementing managed aquifer recharge away from the river’s floodplain has the potential to enhance groundwater supply which is increasingly relied upon during surface water shortage (Green et al., 2011), by storing water in available aquifer space in the deep aquifer. At the basin scale, managed aquifer recharge may lead to regional groundwater sustainability.

Is the Carson River Basin a candidate for managed aquifer recharge?

The physical limitations to implementing managed aquifer recharge in the Carson River Basin hinges on three key factors. The first factor relates to the physical connectivity between rivers and streams, and the irrigation delivery network of canals and ditches that divert water to agricultural lands (Niswonger et al., 2017). In the Carson River Basin the mechanisms for getting water to fields is already in place. Thus, intentionally routing high flows that occur in wet years through this system during the nonirrigation season would mimic what occurs naturally during the irrigation season. The second factor relates to the occurrence of atmospheric river storm events that deliver large amounts of precipitation to the region, much greater than average (Dettinger et al., 2015). With increased frequency and intensity projected under a warmer climate, such events have the potential to produce excess water over short periods of time that could be stored through mechanisms such as managed aquifer recharge (Niswonger et al., 2017). The third factor relates to the change in snowpack accumulation and shifts in snowmelt timing observed elsewhere in the Sierra Nevada (e.g., Godsey et al., 2014; Mote et al., 2018). Having a mechanism in place to maximize use of earlier snowmelt and shifts in streamflow timing could be advantageous and enhance regional groundwater sustainability. As part of the Water for the Seasons study, a hypothetical scenario was developed to determine the feasibility of managed aquifer recharge in the Carson River Basin, assuming no legal constraints. During “wet” or above-average water years, irrigators in the Upper Carson Valley would divert high flows and spread water over agricultural lands during the nonirrigation season. Assuming flows are abundant and “early,” diversions would begin prior to the growing season, when water would otherwise flow downstream to the Lahontan Reservoir. During “dry” years or drought periods, when surface water availability is less, irrigators in the Upper Carson Valley could augment surface water shortages with groundwater, allowing available surface water flows to flow downstream. Researchers hypothesize the amount of water has the potential to boost baseflow to support environmental instream flows, for example.

What concerns have local water managers expressed?

The hypothetical managed aquifer recharge scenario was presented to water managers in a workshop setting. Presentations included an overview of the hydrologic and operations modeling tools used to evaluate managed aquifer recharge by simulating the timing and distribution of water in the upper watershed. Specifically, in the Upper Carson Valley, a hydrologic model (GSFLOW) simulates streamflow driven by snowmelt, and surface and groundwater interactions, while a river basin operations model (MODSIM) allocates water according to the prior appropriation doctrine in the basin (see Figure 1) (Morway, Niswonger, & Triana, 2016; Niswonger et al., 2017). Integrating these two modeling tools advances the evaluation of climate impacts on water availability in agricultural communities and the resulting impacts of alternative management strategies (Morway et al., 2016).

When asked about the viability of managed aquifer recharge, the perspectives of 11 managers varied (Figure 3). Regardless of rating, all managers questioned, “How would thisreally work?” Several managers questioned whether models could simulate the connectivity between surface and groundwater to accurately quantify changes to instream flow. Others raised concerns that managed aquifer recharge violates the Alpine Decree and Nevada Water Law. Still others requested researchers consider alternatives that could work within the confines of current (2019) water law.

Managers posed specific questions that should be considered when evaluating the potential for managed aquifer recharge. For example:

How are researchers going to address managers’ research questions?

Managers’ perspectives help to validate the on-the-ground potential of particular strategies and further refine alternative management scenarios. For example, understanding that managers are concerned with oversaturated fields helps researchers to define conditions in the model, such as what defines a wet versus “too” wet type of year and where to focus irrigation for managed aquifer recharge. Incorporating these nuances provides more accurate quantification of the potential benefits and consequences for users across the basin. Modeling is underway to simulate managed aquifer recharge scenarios and explore basin-wide implications. Researchers and local water managers will convene to collaboratively review results and further assess whether this or other strategies could work under the confines of existing water law. Subsequent fact sheets will present these findings.

","language":"English","publisher":"University of Nevada, Reno Extension","usgsCitation":"Sterle, K., Kitlasten, W., Morway, E.D., Niswonger, R.G., and Singletary, L., 2019, Managed aquifer recharge in snow-fed river basins: What, why and how?: Fact Sheet 19-10, 8 p.","productDescription":"8 p.","ipdsId":"IP-106943","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":377948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377947,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://extension.unr.edu/publication.aspx?PubID=3416"}],"country":"United States","state":"Nevada","city":"Carson City","otherGeospatial":"Carson River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.74685668945312,\n 38.849333913235476\n ],\n [\n -119.67681884765624,\n 38.976492485539396\n ],\n [\n -119.64248657226562,\n 39.15881700964971\n ],\n [\n -119.06295776367188,\n 39.299236474818194\n ],\n [\n -118.96545410156251,\n 39.454221498848895\n ],\n [\n -118.70590209960938,\n 39.459523110465156\n ],\n [\n -118.61114501953125,\n 39.68288289049806\n ],\n [\n -118.62213134765626,\n 39.79059962227577\n ],\n [\n -118.73886108398438,\n 39.79059962227577\n ],\n [\n -118.8336181640625,\n 39.53899882354987\n ],\n [\n -119.1412353515625,\n 39.527348072681455\n ],\n [\n -119.32662963867188,\n 39.35659979720227\n ],\n [\n -119.53262329101562,\n 39.34598050985849\n ],\n [\n -119.77157592773436,\n 39.196076813671695\n ],\n [\n -119.88418579101561,\n 39.03838632847035\n ],\n [\n -119.86358642578125,\n 38.935911987561624\n ],\n [\n -119.74685668945312,\n 38.849333913235476\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sterle, Kelley","contributorId":195683,"corporation":false,"usgs":false,"family":"Sterle","given":"Kelley","email":"","affiliations":[],"preferred":false,"id":797450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitlasten, Wesley 0000-0002-2049-9107","orcid":"https://orcid.org/0000-0002-2049-9107","contributorId":217832,"corporation":false,"usgs":true,"family":"Kitlasten","given":"Wesley","email":"","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":767635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singletary, Loretta","contributorId":195685,"corporation":false,"usgs":false,"family":"Singletary","given":"Loretta","email":"","affiliations":[],"preferred":false,"id":797451,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206564,"text":"ofr20191122 - 2019 - Trends in mammalian predator control trapping events intended to protect ground-nesting, endangered birds at Haleakalā National Park, Hawaiʻi: 2000–14","interactions":[],"lastModifiedDate":"2020-02-21T12:03:56","indexId":"ofr20191122","displayToPublicDate":"2019-12-31T11:59:59","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":"2019-1122","displayTitle":"Trends in Mammalian Predator Control Trapping Events Intended to Protect Ground-Nesting, Endangered Birds at Haleakalā National Park, Hawaiʻi: 2000–14","title":"Trends in mammalian predator control trapping events intended to protect ground-nesting, endangered birds at Haleakalā National Park, Hawaiʻi: 2000–14","docAbstract":"

Predation and habitat degradation by non-native species are principal terrestrial threats to the federally endangered Hawaiian Petrel (ʻuaʻu, Pterodroma sandwichensis) and Hawaiian Goose (nēnē, Branta sandvicensis) within Haleakalā National Park (HALE), Maui, Hawaiʻi. Since 1981, HALE has maintained a network of live traps to control invasive mammalian predators and protect these endangered birds. To evaluate trapping efficiency in HALE, we evaluated four types of trap outcomes for the years 2000–14: Bait Lost (62 percent), No Event (23 percent), Trap Triggered (10 percent), and Predator Event (Rat Caught, Cat Caught, or Mongoose Caught; 4 percent). We used a multinomial logistic regression model to explore trends in the probabilities of broad outcomes (No Event, Other Event [Bait Lost or Trap Triggered], or Predator Event [Rat Caught, Cat Caught, or Mongoose Caught]). Temporal variations in the probabilities of No Event, Other Event, or Predator Event were best explained by ʻuaʻu season (off-season, pre-laying, incubation, or nestling), month, year, and seasonal rainfall with greater probabilities of Predator Event during the ʻuaʻu nestling period (July–October). The probability of Predator Event or Other Event decreased with increased rainfall. Spatial analysis showed that percent vegetative cover and vegetation type best explained variations in the probabilities of trapping outcomes with the probability of Predator Event being greatest in developed and tree covered areas. The proportion of trapping events that resulted in Rat Caught was at least 20 times greater than the proportions of events resulting in Cat or Mongoose Caught throughout the 15-year management period. Temporal analysis showed that season, year, and maximum temperature best explained variations in probabilities of Predator Event; the probability of Rat Caught was greatest during the ʻuaʻu pre-laying and incubation periods (February–June), was greater during periods of warmer maximum temperatures, and overall, increased over the 15-year management period. The probability of Mongoose Caught was greatest during the ʻuaʻu offseason (November–January), decreased through time (2000–14), and decreased with increasing weekly maximum temperatures. Trends in Cat Caught were hard to detect because of small sample sizes, though slight trends indicated cat captures were most frequent during the ʻuaʻu off season and less frequent through time (2000–14). The probability of a Cat Caught event was also negatively correlated with weekly temperatures. Spatial analysis showed elevation best explained variations in probabilities of capture for rats, cats, and mongoose. Overall, predator catches were fewer at higher elevations, and of predators caught at higher elevations, the clear majority were rats. Our results are being used by HALE Endangered Wildlife Management staff to evaluate existing methods for predator control and efficacy of existing trap-based control strategies intended to protect ʻuaʻu and nēnē.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191122","collaboration":"Prepared in cooperation with Haleakalā National Park","usgsCitation":"Kelsey, E.C., Adams, J., Czapanskiy, M.F., Felis, J.J., Yee, J.L., Kaholoaa R.L., and Bailey, C.N., 2019, Trends in mammalian predator control trapping events intended to protect ground-nesting, endangered birds at Haleakalā National Park, Hawaiʻi: 2000–14: U.S. Geological Survey Open-File Report 2019–1122, 27 p., https://doi.org/10.3133/ofr20191122.","productDescription":"Report: vi, 28 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-104150","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":370049,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98RJ12I","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Trap records used to analyze trends in mammalian predator control trapping events intended to protect ground-nesting, endangered birds at Haleakalā National Park, Hawai'i (2000 - 2014)"},{"id":370036,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1122/ofr20191122.pdf","text":"Report","size":"22.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1122"},{"id":370035,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1122/coverthb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Haleakalā National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.275743,20.586349 ], [ -156.275743,20.795098 ], [ -156.020951,20.795098 ], [ -156.020951,20.586349 ], [ -156.275743,20.586349 ] ] ] } } ] }","contact":"

Director,
Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-12-31","noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Kelsey, Emily C. 0000-0002-0107-3530 ekelsey@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3530","contributorId":206505,"corporation":false,"usgs":true,"family":"Kelsey","given":"Emily","email":"ekelsey@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":774978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":220468,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":774979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czapanskiy, Max F.","contributorId":220469,"corporation":false,"usgs":false,"family":"Czapanskiy","given":"Max F.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":774980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":774981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":774982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kaholoaa, Raina L.","contributorId":220472,"corporation":false,"usgs":false,"family":"Kaholoaa","given":"Raina","email":"","middleInitial":"L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":774983,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bailey, Cathleen Natividad","contributorId":220473,"corporation":false,"usgs":false,"family":"Bailey","given":"Cathleen","email":"","middleInitial":"Natividad","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":774984,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70207136,"text":"sir20195138 - 2019 - Hydrogeologic framework of the Treasure Valley and surrounding area, Idaho and Oregon","interactions":[],"lastModifiedDate":"2022-04-25T19:51:40.528534","indexId":"sir20195138","displayToPublicDate":"2019-12-31T11:50:54","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":"2019-5138","displayTitle":"Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon","title":"Hydrogeologic framework of the Treasure Valley and surrounding area, Idaho and Oregon","docAbstract":"

Most of the population of the Treasure Valley and the surrounding area of southwestern Idaho and easternmost Oregon depends on groundwater for domestic supply, either from domestic or municipal-supply wells. As of 2017, 41 percent of Idaho’s population was concentrated in Idaho’s portion of the Treasure Valley, and current and projected rapid population growth in the area has caused concern about the long-term sustainability of the groundwater resource. In 2016, the U.S. Geological Survey, in cooperation with the Idaho Water Resource Board and the Idaho Department of Water Resources, began a project to construct a numerical groundwater-flow model of the westernmost western Snake River Plain (WSRP) aquifer system. As part of this project, a three-dimensional hydrogeologic framework model (3D HFM) of the aquifer system was generated, primarily from lithologic data compiled from 291 well-driller reports.

Four major hydrogeologic units are shown in the 3D HFM: Coarse-grained fluvial and alluvial deposits, Pliocene-Pleistocene and Miocene basalts, fine-grained lacustrine deposits, and granitic and rhyolitic bedrock. Generally, the 3D HFM is in agreement with the geologic history of the WSRP and hydrogeologic frameworks developed by previous authors. The resolution (voxel size) of the 3D HFM is sufficient for the construction of a regional groundwater-flow model.

The major components of inflow (or recharge) to the WSRP aquifer system are seepage from irrigation canals, direct infiltration from precipitation and excess irrigation water, seepage from the Boise and Payette Rivers and Lake Lowell, and subsurface inflow from adjoining uplands. The major components of outflow (or discharge) from the aquifer system are discharge to surface water (rivers, agricultural drains, and streams), groundwater pumping, and direct evapotranspiration from groundwater.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195138","collaboration":"Prepared in cooperation with the Idaho Water Resource Board and the Idaho Department of Water Resources","usgsCitation":"Bartolino, J.R., 2019, Hydrogeologic framework of the Treasure Valley and surrounding area, Idaho and Oregon (ver. 1.1, January 2020): U.S. Geological Survey Scientific Investigations Report 2019–5138, 31 p., https://doi.org/10.3133/sir20195138.","productDescription":"Report: v, 31 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-093399","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":371171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5138/coverthb.jpg"},{"id":371344,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5138/sir20195138_v1.1.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Report 2019-5138"},{"id":371345,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CAC0F6","linkHelpText":"Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon"},{"id":371346,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2019/5138/sir20195138_versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"Scientific Investigations Report 2019-5138"},{"id":399614,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109577.htm"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Treasure Valley and surrounding area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.1097,\n 43.1803\n ],\n [\n -115.86,\n 43.1803\n ],\n [\n -115.86,\n 44.0381\n ],\n [\n -117.1097,\n 44.0381\n ],\n [\n -117.1097,\n 43.1803\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: January 2020; Version 1: December 2019","contact":"

Director,
Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520 

","tableOfContents":"


","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-12-31","revisedDate":"2020-01-17","noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776935,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70207344,"text":"ofr20191144 - 2019 - Preliminary assessment of shallow groundwater chemistry near Goodell Creek, North Cascades National Park, Washington","interactions":[],"lastModifiedDate":"2022-04-21T20:03:26.15013","indexId":"ofr20191144","displayToPublicDate":"2019-12-31T11:46:30","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":"2019-1144","displayTitle":"Preliminary Assessment of Shallow Groundwater Chemistry near Goodell Creek, North Cascades National Park, Washington","title":"Preliminary assessment of shallow groundwater chemistry near Goodell Creek, North Cascades National Park, Washington","docAbstract":"Goodell Creek is located within North Cascades National Park and is high-quality habitat for Chinook salmon, which are listed as threatened under the Endangered Species Act. The creation of a levee near the mouth of the creek where it enters the Skagit River has cut off the historical flood plain from the active channel. There is an effort to remove the levee along the left bank of the creek to restore this connection and preserve this high-quality habitat; however, construction debris and blasting waste from the past have been used as fill during the creation of the levee in the 1980s, and there is concern that contaminated groundwater could reach the creek if the levee is breached. As a result, the U.S. Geological Survey, in cooperation with the National Park Service, assessed near-channel shallow-groundwater chemistry to determine how levee remediation should proceed. Groundwater was sampled in late summer in 2017. Deep groundwater at that time of year limited water-quality sampling. Six samples were collected in September 2017 and analyzed for nutrients, dissolved metals, and a suite of semi-volatile organic compounds. Laboratory data were almost always reported as below the method detection limits with the exception of data from a single shallow-groundwater well. Elevated concentrations of metals detected in water samples from this well were possibly caused by the buried metal in the vicinity of the sampling location. One sample collected close to the active channel of Goodell Creek showed no signs of contamination.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191144","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Sheibley, R.W., and Foreman, J.R., 2019, Preliminary assessment of shallow groundwater chemistry near Goodell Creek, North Cascades National Park, Washington: U.S. Geological Survey Open-File Report 2019–1144, 14 p., https://doi.org/10.3133/ofr20191144.","productDescription":"Report: iv, 14 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-108820","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":399431,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109578.htm"},{"id":370906,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1144/ofr20191144_appendix1.xlsx","text":"Appendix","linkFileType":{"id":3,"text":"xlsx"}},{"id":370905,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1144/ofr20191144.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":370904,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1144/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Goodell Creek, North Cascades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.2611,\n 48.6722\n ],\n [\n -121.2722,\n 48.6722\n ],\n [\n -121.2722,\n 48.6778\n ],\n [\n -121.2611,\n 48.6778\n ],\n [\n -121.2611,\n 48.6722\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402

","tableOfContents":"

","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-12-31","noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Sheibley, Rich W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":3044,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foreman, James R. 0000-0003-0535-4580 jforeman@usgs.gov","orcid":"https://orcid.org/0000-0003-0535-4580","contributorId":3669,"corporation":false,"usgs":true,"family":"Foreman","given":"James","email":"jforeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":778696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70206004,"text":"70206004 - 2019 - Implications of aggregating daily production data on estimates of ultimate recovery from horizontal hydraulically fractured Bakken oil wells","interactions":[],"lastModifiedDate":"2020-06-01T16:48:59.279079","indexId":"70206004","displayToPublicDate":"2019-12-31T11:44:49","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Implications of aggregating daily production data on estimates of ultimate recovery from horizontal hydraulically fractured Bakken oil wells","docAbstract":"

The level to which data are aggregated can impact analytical and predictive modeling results. In this short paper we discuss some of our findings regarding the impacts of data aggregation on estimating change points in the production profiles of horizontal hydraulically fractured Bakken oil wells. Change points occur when production transitions from one flow regime to another. Change point determination is important because it governs calculation of ultimate recovery from these and similar wells drilled in shale plays.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"20th Annual conference of the International Association for Mathematical Geosciences (IAMG2019)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"20th Annual Conference of the International Association for Mathematical Geosciences (IAMG2019)","conferenceDate":"Aug 10-15, 2019","conferenceLocation":"State College, PA","language":"English","usgsCitation":"Coburn, T.C., and Attanasi, E., 2019, Implications of aggregating daily production data on estimates of ultimate recovery from horizontal hydraulically fractured Bakken oil wells, in 20th Annual conference of the International Association for Mathematical Geosciences (IAMG2019), State College, PA, Aug 10-15, 2019, p. 232-236.","productDescription":"5 p.","startPage":"232","endPage":"236","ipdsId":"IP-107885","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","otherGeospatial":"Bakken Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.7598876953125,\n 45.96260622242165\n ],\n [\n -102.45849609375,\n 45.96260622242165\n ],\n [\n -102.45849609375,\n 47.71345768748889\n ],\n [\n -105.7598876953125,\n 47.71345768748889\n ],\n [\n -105.7598876953125,\n 45.96260622242165\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coburn, T. C.","contributorId":219832,"corporation":false,"usgs":false,"family":"Coburn","given":"T.","email":"","middleInitial":"C.","affiliations":[{"id":40076,"text":"1 University of Tulsa, School of Energy Economics, Policy and Commerce, USA,","active":true,"usgs":false}],"preferred":false,"id":773271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773270,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70206597,"text":"sir20195133 - 2019 - Iodine-129 in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 2017–18","interactions":[],"lastModifiedDate":"2022-04-25T19:40:42.618075","indexId":"sir20195133","displayToPublicDate":"2019-12-31T11:41:00","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":"2019-5133","displayTitle":"Iodine-129 in the Eastern Snake River Plain Aquifer at and near the Idaho National Laboratory, Idaho, 2017–18","title":"Iodine-129 in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 2017–18","docAbstract":"

From 1953 to 1988, approximately 0.941 curies of iodine-129 (129I) were contained in wastewater generated at the Idaho National Laboratory, with almost all of it discharged at or near the Idaho Nuclear Technology and Engineering Center (INTEC). Until 1984, most of the wastewater was discharged directly into the eastern Snake River Plain (ESRP) aquifer through a deep disposal well; however, some wastewater was also discharged into unlined infiltration ponds or leaked from distribution systems below the INTEC.

During 2017–18, the U.S. Geological Survey, in cooperation with the U.S. Department of Energy, collected samples for 129I from 30 wells that monitor the ESRP aquifer to track concentrations and changes of the carcinogenic radionuclide that has a 15.7 million-year half-life. Concentrations of 129I in the aquifer ranged from 0.000016 ± 0.000001 to 0.88+/- 0.03 picocuries per liter (pCi/L), and concentrations generally decreased in wells near the INTEC as compared with previously collected samples. The average concentration of 15 wells sampled during 5 different sample periods decreased from 1.15 pCi/L in 1990–91 to 0.168 pCi/L in 2017–18, but average concentrations were similar to 2011–12 within analytical uncertainty. All but four wells within a 3-mile radius of the INTEC showed decreases in concentration, and all samples had concentrations less than the U.S. Environmental Protection Agency’s maximum contaminant level of 1 pCi/L. These decreases are attributed to the discontinuation of disposal of 129I in wastewater and to dilution and dispersion in the aquifer. Some wells southeast of INTEC showed increasing trends; these increases were attributed to variable transmissivity.

Although wells near INTEC sampled in 2017–18 showed decreases in concentrations compared with data collected previously, some wells south of the INL boundary showed small increases. These increases are attributed to historical variable discharge rates of wastewater that eventually moved to these well locations as a pulse of water from a particular disposal period.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195133","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Maimer, N.V., and Bartholomay, R.C., 2019, Iodine-129 in the eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 2017–18: U.S. Geological Survey Scientific Investigations Report 2019-5133, 20 p., https://doi.org/10.3133/sir20195133.","productDescription":"v, 20 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-096468","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":399612,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109576.htm"},{"id":370908,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5133/sir20195133.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":370907,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5133/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.9,\n 43.3333\n ],\n [\n -113.1667,\n 43.3333\n ],\n [\n -113.1667,\n 43.5833\n ],\n [\n -112.9,\n 43.5833\n ],\n [\n -112.9,\n 43.3333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520 

","tableOfContents":"

","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-12-31","noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Maimer, Neil V. 0000-0003-3047-3282 nmaimer@usgs.gov","orcid":"https://orcid.org/0000-0003-3047-3282","contributorId":5659,"corporation":false,"usgs":true,"family":"Maimer","given":"Neil","email":"nmaimer@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775095,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204704,"text":"70204704 - 2019 - Status and trends of pelagic prey fish in Lake Huron, 2018","interactions":[],"lastModifiedDate":"2021-09-23T16:37:14.517421","indexId":"70204704","displayToPublicDate":"2019-12-31T11:32:13","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Status and trends of pelagic prey fish in Lake Huron, 2018","docAbstract":"Scientists from the U.S. Geological Survey’s Great Lakes Science Center conducted integrated acoustic and mid-water trawl surveys of Lake Huron annually from 2004-2018. The 2018 survey was conducted during September and included transects in Lake Huron’s main basin, Georgian Bay, and North Channel. Mean lake-wide pelagic fish density was 1532 fish/ha and mean pelagic fish biomass was 4151 g/ha in 2018, which represents 128% and 108% of the long-term mean, respectively. Mean lake-wide biomass was 24% lower in 2018 and mean lake-wide fish density was 3.3% lower in 2018 as compared to 2017. Lake-wide density and biomass of small alewife (< 100 mm) increased significantly in 2018 and was due primarily to increased abundance in the western main basin. Lake-wide density of small rainbow smelt (< 90 mm) increased in 2018 and was a result of increased abundance in the eastern main basin, Georgian Bay, and the North Channel. Biomass of large rainbow smelt (> 90 mm) increased in 2018 and was a result of increased biomass in the main basin and Georgian Bay. Density of small bloater (< 120 mm) declined in the western main basin but increased in other regions of Lake Huron. Biomass of large bloater (> 120 mm) remained at levels similar to 2017 in most regions of Lake Huron. Emerald shiner density and biomass increased in 2018 due to increased abundance in the main basin south and main basin west regions. Density and biomass of large cisco (> 200 mm) declined marginally between 2017 and 2018, but cisco biomass and density has shown an increasing trend in the North Channel and Georgian Bay since 2011.","conferenceTitle":"Lake Huron Committee Meeting","conferenceDate":"Mar 26, 2019","conferenceLocation":"Ypsilanti, MI","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"O’Brien, T.P., Farha, S., Warner, D., Esselman, P., Phillips, K., Lenart, S., and Olds, C., 2019, Status and trends of pelagic prey fish in Lake Huron, 2018, Lake Huron Committee Meeting, Ypsilanti, MI, Mar 26, 2019, 14 p.","productDescription":"14 p.","ipdsId":"IP-106810","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":389651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389650,"rank":1,"type":{"id":15,"text":"Index 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New detailed mapping of the geologic resources of the Nation has the potential to significantly close the gap in the essential data needed to fuel a modern era of economic development and technological innovation, while at the same time dramatically enhancing our understanding of the fundamental way geology impacts everyday life, from the domestic critical mineral resources that are necessary for modern technology and the economy, to domestic energy and water resources, geologic hazards, agriculture, and other pressing needs. The U.S. Geological Survey established the Earth Resources Mapping Initiative (Earth MRI) to address the shortfall in geologic, geophysical, and elevation data with sufficient detail to support evaluation of regions in the United States that have potential to host critical mineral resources. The new effort is a collaboration with the Association of American State Geologists, who are providing new detailed geologic maps and making available online archived data and information related to critical mineral resources. The geophysical and lidar surveys are being contracted through industry specialists to assure that high-quality data are available to the public. This article provides an overview of the Earth MRI effort with discussions on the initial geophysical surveys funded for areas that have known potential for rare earth element resources. Subsequent projects are being designed to address areas that may host other critical mineral resources.

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Off-channel and floodplain water bodies are important components of large river ecosystems while rare within the Middle Mississippi River. The lack of these habitats likely influences water quality, nutrient processing, and communities of organisms. In early 2016 a major flood event breached two levees south of Cape Girardeau, MO resulting in the creation of two new backwaters—Len Small and Backwater MO 35.5. Water quality, metabolic rate, and fish community data were collected from the new backwaters as well as Horseshow Lake an isolated floodplain lake. Backwater conditions were often different from the main channel with backwaters being warmer and with greater water clarity throughout the study. Nutrient concentrations were often different from the main channel and exhibited similar patterns to those observed in the Upper Mississippi River. One backwater showed high rates of primary productivity (NEP) along with the floodplain lake. Differences between backwater metabolic rates may be due in part to differences in size and connectivity to the river. Fish communities were different between waterbodies with a number of lacustrine species observed in the floodplain lake. Habitat and feeding guilds were also different between waterbodies. Diversity was also not significantly different between waterbodies.

This study represents novel findings for off-channel habitats on the Middle Mississippi River and the opportunity to explore the establishment of new habitat types. Ultimately, we view MO 35.5, Len Small, and Horseshoe Lake as important habitats within the larger riverine ecosystem. There remains much to be learned if restoration activities based on backwater creation within the MMR are to be successful but these preliminary and early stage results indicate these areas are already providing important and variable environmental conditions to riverine organisms.

","language":"English","publisher":"U.S. Army Corps of Engineer's Upper Mississippi River Restoration Program","usgsCitation":"Sobotka, M., and West, J., 2019, Off-channel waterbodies in the Middle Mississippi River: A pilot investigation: U.S Army Corps of Engineers Completion Report, Report: 28 p.; Data Release.","productDescription":"Report: 28 p.; Data Release","ipdsId":"IP-098199","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":375090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375089,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/5bf42c29e4b045bfcae120d3"},{"id":375088,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.umesc.usgs.gov/documents/publications/2019/sobotka_a_2019.html"}],"country":"United States","state":"Illinois, Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.4894790649414,\n 37.06230052887983\n ],\n [\n -89.27146911621092,\n 37.06230052887983\n ],\n [\n -89.27146911621092,\n 37.16113737391723\n ],\n [\n -89.4894790649414,\n 37.16113737391723\n ],\n [\n -89.4894790649414,\n 37.06230052887983\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sobotka, Molly","contributorId":213496,"corporation":false,"usgs":false,"family":"Sobotka","given":"Molly","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":757832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"West, John","contributorId":189976,"corporation":false,"usgs":false,"family":"West","given":"John","affiliations":[],"preferred":false,"id":757833,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208129,"text":"70208129 - 2019 - Proposed multi-period response spectra and ground motion requirements of the 2020 Recommended Provisions and ASCE 7-22","interactions":[],"lastModifiedDate":"2020-06-08T16:19:22.272776","indexId":"70208129","displayToPublicDate":"2019-12-31T11:18:09","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Proposed multi-period response spectra and ground motion requirements of the 2020 Recommended Provisions and ASCE 7-22","docAbstract":"This paper summarizes a comprehensive set of proposals to the Provisions Update Committee of the Building Seismic Safety Council that would incorporate multi-period response spectra (MPRS) in the 2020 edition of the NEHRP Recommended Seismic Provisions for New Buildings and Other Structures (2020 NEHRP Provisions) and related proposals to the ASCE 7-22 Seismic Subcommittee of the American Society of Civil Engineers for incorporation of MPRS in the ASCE Standard, ASCE/SEI 7-22, Minimum Design Loads and Associated Criteria for Buildings and Other Structures (ASCE 7-22). 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The goal of this research framework is to outline research that would continue to improve our understanding of ecological resilience of the Upper Mississippi River System (UMRS) and inform management of the system for health and resilience. We provide a broad overview of recently completed and ongoing work that has been funded as a part of the UMRS Ecological Resilience Assessment and related efforts to provide context for how proposed research questions build upon our current knowledge and may inform restoration planning and design. We describe two primary objectives within this research framework - the first objective is to investigate hypothesized drivers and feedbacks related to specified resilience, and the second is to expand our utility of general resilience indicators through further development and evaluation. The intended audience for this framework is the Upper Mississippi River Restoration Program (UMRR). The UMRR partnership is made up of natural resource agencies from five states (Illinois, Iowa, Minnesota, Missouri and Wisconsin) and five federal agencies (U.S. Army Corps of Engineers, U.S. Environmental Protection Agency, U.S. Fish and Wildlife Service, U.S. Geological Survey, and USDA Natural Resources Conservation Service).

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Changing climate conditions can make water management planning and drought preparedness decisions more complicated than ever before. Resource managers can no longer rely solely on historical data and trends to base their actions, and are in need of science that is relevant to their specific needs and can directly inform important planning decisions. Questions remain, however, regarding the most effective and efficient methods for extending scientific knowledge and products into management and decision-making.

This study analyzed two unique cases of water management to better understand how science can be translated into resource management actions and decision-making.  In particular, this project sought to understand 1) the characteristics that make science actionable and useful for water resource management and drought preparedness, and 2) the ideal types of scientific knowledge or science products that facilitate the use of science in management and decision-making.

The first case study focused on beaver mimicry, an emerging nature-based solution that increases the presence of wood and woody debris in rivers and streams to mimic the actions of beavers. This technique has been rapidly adopted by natural resource managers as a way to restore riparian areas, increase groundwater infiltration, and slow surface water flow so that more water is available later in the year during hotter and dryer months. The second case study focused on an established research program, Colorado Dust on Snow, that provides water managers with scientific information explaining how the movement of dust particles from the Colorado Plateau influences hydrology and the timing and intensity of snow melt and water runoff into critical water sources. This program has support from and is being used by several water conservation districts in the state.

Understanding how scientific knowledge translates into action and decision-making in these cases is expected to strengthen our knowledge of actionable science in the context of drought and its impacts on ecosystems. The project team gathered qualitative data through stakeholder interviews and will conduct an extensive literature review. Findings from these efforts will also be incorporated into a broader Intermountain West synthesis effort to determine and assess commonalities and differences among socio-ecological aspects of drought adaptation and planning.

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