{"pageNumber":"424","pageRowStart":"10575","pageSize":"25","recordCount":165990,"records":[{"id":70227446,"text":"70227446 - 2022 - Alaska North Slope terrestrial gas hydrate systems: Insights from scientific drilling","interactions":[],"lastModifiedDate":"2022-01-17T16:30:58.678965","indexId":"70227446","displayToPublicDate":"2022-01-17T10:17:29","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Alaska North Slope terrestrial gas hydrate systems: Insights from scientific drilling","docAbstract":"<p id=\"Par1\" class=\"Para\">A wealth of information has been accumulated regarding the occurrence of gas hydrates in nature, leading to significant advancements in our understanding of the geologic controls on their occurrence in both the terrestrial and marine settings of the Arctic. Gas hydrate accumulations discovered in the Alaska North Slope have been the focus of several important geoscience and production testing research programs. The Mount Elbert Gas Hydrate Stratigraphic Test Well of 2007 yielded one of the most complete geologic datasets on Arctic gas hydrate systems and important reservoir engineering data. The 2011/2012 field test of the Iġnik Sikumi gas hydrate production test well provided important insight into gas hydrate production technologies, yielding additional information on the petrophysical properties of gas hydrate reservoir systems. The Hydrate-01 Stratigraphic Test Well, drilled late in 2018, confirmed the geologic conditions at an Alaska North Slope drill site that was selected for an extended gas hydrate production test. In 2018, the US Geological Survey used information derived from previous scientific drilling programs to assess the volume of undiscovered, technically recoverable gas resources at a mean estimate of about 54 trillion cubic feet (~1.5 trillion cubic meters) within the gas hydrates in the North Slope of Alaska. This assessment has shown that the amount of gas stored as gas hydrates in this area is equal to about half of the known volume of conventional natural gas resources in the region.</p><div id=\"cobranding-and-download-availability-text\" class=\"note test-pdf-link\"><br></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World atlas of submarine gas hydrates in continental margins","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-81186-0_16","usgsCitation":"Collett, T.S., Boswell, R.M., and Zyrianova, M.V., 2022, Alaska North Slope terrestrial gas hydrate systems: Insights from scientific drilling, chap. <i>of</i> World atlas of submarine gas hydrates in continental margins, p. 195-206, https://doi.org/10.1007/978-3-030-81186-0_16.","productDescription":"12 p.","startPage":"195","endPage":"206","ipdsId":"IP-120020","costCenters":[{"id":164,"text":"Central Energy Resources Science 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Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":830933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boswell, Ray M.","contributorId":72926,"corporation":false,"usgs":true,"family":"Boswell","given":"Ray","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":830934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zyrianova, Margarita V. 0000-0002-3669-1320 rita@usgs.gov","orcid":"https://orcid.org/0000-0002-3669-1320","contributorId":198970,"corporation":false,"usgs":true,"family":"Zyrianova","given":"Margarita","email":"rita@usgs.gov","middleInitial":"V.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":830935,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70259613,"text":"70259613 - 2022 - Volcano-tectonic history of the Hood River graben: A late Pliocene-Holocene intra-arc graben at the crest of the northern Oregon Cascade Range, USA","interactions":[],"lastModifiedDate":"2024-10-18T10:57:25.817346","indexId":"70259613","displayToPublicDate":"2022-01-17T08:47:27","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":128,"text":"Open-File Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"22-2","title":"Volcano-tectonic history of the Hood River graben: A late Pliocene-Holocene intra-arc graben at the crest of the northern Oregon Cascade Range, USA","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"McClaughry, J.D., Madin, I.P., Bennett, S.E., and Conrey, R.M., 2022, Volcano-tectonic history of the Hood River graben: A late Pliocene-Holocene intra-arc graben at the crest of the northern Oregon Cascade Range, USA: Open-File Report 22-2, 2 p.","productDescription":"2 p.","startPage":"35","endPage":"36","ipdsId":"IP-138155","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":462921,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://conservancy.umn.edu/server/api/core/bitstreams/f0230ff9-4dc6-4865-8b40-a72b2d2be87c/content"},{"id":462955,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.86121809846372,\n              44.65404950748291\n            ],\n            [\n              -120.60902083283865,\n              44.65404950748291\n            ],\n            [\n              -120.60902083283865,\n              45.86041592045436\n            ],\n            [\n              -122.86121809846372,\n              45.86041592045436\n            ],\n            [\n              -122.86121809846372,\n              44.65404950748291\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McClaughry, Jason D.","contributorId":194544,"corporation":false,"usgs":false,"family":"McClaughry","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":915960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madin, Ian P. 0000-0003-2008-8815","orcid":"https://orcid.org/0000-0003-2008-8815","contributorId":345199,"corporation":false,"usgs":false,"family":"Madin","given":"Ian","email":"","middleInitial":"P.","affiliations":[{"id":32397,"text":"Oregon Department of Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":915961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":915962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrey, Richard M.","contributorId":194345,"corporation":false,"usgs":false,"family":"Conrey","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":13203,"text":"School of the Environment, Washington State University","active":true,"usgs":false}],"preferred":false,"id":915963,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227451,"text":"70227451 - 2022 - Applied citizen science in freshwater research","interactions":[],"lastModifiedDate":"2022-03-28T16:42:00.577703","indexId":"70227451","displayToPublicDate":"2022-01-17T08:47:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Applied citizen science in freshwater research","docAbstract":"<p>Worldwide, scientists are increasingly collaborating with the general public. Citizen science methods are readily applicable to freshwater research, monitoring, and education. In addition to providing cost-effective data on spatial and temporal scales that are otherwise unattainable, citizen science provides unique opportunities for engagement with local communities and stakeholders in resource management and decision-making. However, these methods are not infallible. Citizen science projects require deliberate planning in order to collect high data quality and sustain meaningful community partnerships. Citizen science practitioners also have an ethical responsibility to ensure that projects are not putting the safety of participants at stake. We discuss here how citizen science is being applied in freshwater research, emerging challenges in project planning and implementation, as well as how citizen science is shaping public understanding, policy, and management of freshwaters.</p>","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1578","usgsCitation":"Metcalfe, A.N., Kennedy, T.A., Mendez, G.A., and Muehlbauer, J.D., 2022, Applied citizen science in freshwater research: WIREs Water, v. 9, e1578, 11 p., https://doi.org/10.1002/wat2.1578.","productDescription":"e1578, 11 p.","ipdsId":"IP-128560","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":394433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2022-01-12","publicationStatus":"PW","contributors":{"editors":[{"text":"Lane, Stuart N.","contributorId":271165,"corporation":false,"usgs":false,"family":"Lane","given":"Stuart","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":830996,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Metcalfe, Anya N. 0000-0002-6286-4889 ametcalfe@usgs.gov","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":5271,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","email":"ametcalfe@usgs.gov","middleInitial":"N.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":830954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629 tkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":167537,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","email":"tkennedy@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":830955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendez, Gabriella A.","contributorId":271142,"corporation":false,"usgs":false,"family":"Mendez","given":"Gabriella","email":"","middleInitial":"A.","affiliations":[{"id":52178,"text":"Northern Arizona University, Flagstaff, AZ 86011","active":true,"usgs":false}],"preferred":false,"id":830956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muehlbauer, Jeffrey D. 0000-0003-1808-580X jmuehlbauer@usgs.gov","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":5045,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","email":"jmuehlbauer@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":830957,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227452,"text":"70227452 - 2022 - Risk-based prioritization of organic chemicals and locations of ecological concern in sediment from Great Lakes tributaries","interactions":[],"lastModifiedDate":"2022-03-28T16:40:43.379038","indexId":"70227452","displayToPublicDate":"2022-01-17T08:45:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Risk-based prioritization of organic chemicals and locations of ecological concern in sediment from Great Lakes tributaries","docAbstract":"<p>With improved analytical techniques, environmental monitoring studies are increasingly able to report the occurrence of tens or hundreds of chemicals per site, making it difficult to identify the most relevant chemicals from a biological standpoint. For this study, organic chemical occurrence was examined, individually and as mixtures, in the context of potential biological effects. Sediment was collected at 71 Great Lakes tributary sites and analyzed for 87 chemicals. Multiple risk-based lines of evidence were used to prioritize chemicals and locations, including comparing sediment concentrations and estimated porewater concentrations to established whole-organism benchmarks (i.e., sediment and water quality criteria and screening values) and to high-throughput toxicity screening data from the U.S. Environmental Protection Agency's ToxCast database, estimating additive effects of chemical mixtures on common ToxCast endpoints, and estimating toxic equivalencies for mixtures of alkylphenols and polycyclic aromatic hydrocarbons (PAHs). This multiple-lines-of-evidence approach enabled the screening of more chemicals, mitigated the uncertainties of individual approaches, and strengthened common conclusions. Collectively, at least one benchmark/screening value was exceeded for 54 of the 87 chemicals, with exceedances observed at all 71 of the monitoring sites. Chemicals with the greatest potential for biological effects, both individually and as mixture components, were bisphenol A, 4-nonylphenol, indole, carbazole, and several polycyclic aromatic hydrocarbons (PAHs). Potential adverse outcomes based on ToxCast gene targets and putative adverse outcome pathways relevant to individual chemicals and chemical mixtures included tumors, skewed sex ratios, reproductive dysfunction, hepatic steatosis, and early mortality, among others. Results provide a screening level prioritization of chemicals with the greatest potential for adverse biological effects and an indication of sites where they are most likely to occur.</p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.5286","usgsCitation":"Baldwin, A.K., Corsi, S., Stefaniak, O.M., Loken, L.C., Villeneuve, D.L., Ankley, G., Blackwell, B., Lenaker, P.L., Nott, M.A., and Mills, M.A., 2022, Risk-based prioritization of organic chemicals and locations of ecological concern in sediment from Great Lakes tributaries: Environmental Toxicology and Chemistry, v. 41, no. 4, p. 1016-1041, https://doi.org/10.1002/etc.5286.","productDescription":"26 p.","startPage":"1016","endPage":"1041","ipdsId":"IP-129929","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science 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T.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":830963,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":830964,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lenaker, Peter L. 0000-0002-9469-6285 plenaker@usgs.gov","orcid":"https://orcid.org/0000-0002-9469-6285","contributorId":5572,"corporation":false,"usgs":true,"family":"Lenaker","given":"Peter","email":"plenaker@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830965,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nott, Michelle A. 0000-0003-3968-7586","orcid":"https://orcid.org/0000-0003-3968-7586","contributorId":221766,"corporation":false,"usgs":true,"family":"Nott","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830966,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mills, Marc A.","contributorId":141085,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":830967,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70227815,"text":"70227815 - 2022 - Individual heterogeneity influences the effects of translocation on urban dispersal of an invasive reptile","interactions":[],"lastModifiedDate":"2022-02-02T14:20:06.194879","indexId":"70227815","displayToPublicDate":"2022-01-15T13:52:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Individual heterogeneity influences the effects of translocation on urban dispersal of an invasive reptile","docAbstract":"<p><strong>Background</strong><br>Invasive reptiles pose a serious threat to global biodiversity, but early detection of individuals in an incipient population is often hindered by their cryptic nature, sporadic movements, and variation among individuals. Little is known about the mechanisms that affect the movement of these species, which limits our understanding of their dispersal. Our aim was to determine whether translocation or small-scale landscape features affect movement patterns of brown treesnakes (<i>Boiga irregularis</i>), a destructive invasive predator on the island of Guam.</p><p><strong>Methods</strong><br>We conducted a field experiment to compare the movements of resident (control) snakes to those of snakes translocated from forests and urban areas into new urban habitats. We developed a Bayesian hierarchical model to analyze snake movement mechanisms and account for attributes unique to invasive reptiles by incorporating multiple behavioral states and individual heterogeneity in movement parameters.</p><p><strong>Results</strong><br>We did not observe strong differences in mechanistic movement parameters (turning angle or step length) among experimental treatment groups. We found some evidence that translocated snakes from both forests and urban areas made longer movements than resident snakes, but variation among individuals within treatment groups weakened this effect. Snakes translocated from forests moved more frequently from pavement than those translocated from urban areas. Snakes translocated from urban areas moved less frequently from buildings than resident snakes. Resident snakes had high individual heterogeneity in movement probability.</p><p><strong>Conclusions</strong><br>Our approach to modeling movement improved our understanding of invasive reptile dispersal by allowing us to examine the mechanisms that influence their movement. We also demonstrated the importance of accounting for individual heterogeneity in population-level analyses, especially when management goals involve eradication of an invasive species.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-022-00300-1","usgsCitation":"Fueka, A.B., Nafus, M.G., Yackel Adams, A.A., Bailey, L., and Hooten, M., 2022, Individual heterogeneity influences the effects of translocation on urban dispersal of an invasive reptile: Movement Ecology, v. 10, 2, 18 p., https://doi.org/10.1186/s40462-022-00300-1.","productDescription":"2, 18 p.","ipdsId":"IP-125108","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":449148,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-022-00300-1","text":"Publisher Index Page"},{"id":435996,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P948KRN3","text":"USGS data 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0000-0002-1614-723X","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":119998,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin B.","affiliations":[],"preferred":false,"id":832361,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256713,"text":"70256713 - 2022 - Seed germination responses to salinity for three rare wetland plants of spring-fed arid systems","interactions":[],"lastModifiedDate":"2024-09-03T15:42:50.820207","indexId":"70256713","displayToPublicDate":"2022-01-15T10:32:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Seed germination responses to salinity for three rare wetland plants of spring-fed arid systems","docAbstract":"<p><span>Spring-fed wetlands within arid systems host unique species of plants, many of which are threatened due to the vulnerability of these ecosystems. Increased salinity and drier hydrologic regimes due to anthropogenic activities threaten these systems. Furthermore, limited knowledge regarding key life history traits of species jeopardize the restoration and management of their rare plants. Here, we evaluated key aspects of the seed ecophysiology of three rare plants of the Southwestern United States:&nbsp;</span><i>Helianthus paradoxus</i><span>&nbsp;(Pecos sunflower),&nbsp;</span><i>Cirsium wrightii</i><span>&nbsp;(Wright's marsh thistle), and&nbsp;</span><i>Agalinis calycina</i><span>&nbsp;(Leoncita false-foxglove). We examined seed dormancy break under controlled conditions and evaluated the effects of field-derived salinity gradients on seed dormancy break and germination. Seeds of&nbsp;</span><i>C. wrightii</i><span>&nbsp;were nondormant at dispersal, germination was high (&gt;70%) under all treatments and was not affected by the tested salinities. Germination in&nbsp;</span><i>H. paradoxus</i><span>&nbsp;was high (&gt;70%) following cold stratification, but increasing salinities reduced germination.&nbsp;</span><i>A. calycina</i><span>&nbsp;seeds required cold stratification, but germination was low (&lt;50%) under all tested treatments and increasing salinities during incubation had the greatest negative effects in this species. Our findings contribute to the restoration of rare wetland plants within spring-fed arid marshes susceptible to groundwater declines and human-induced salinization.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2021.104705","usgsCitation":"Cantu de Leija, A., King, S.L., and Hawkins, T.S., 2022, Seed germination responses to salinity for three rare wetland plants of spring-fed arid systems: Journal of Arid Environments, v. 199, 104705, 9 p., https://doi.org/10.1016/j.jaridenv.2021.104705.","productDescription":"104705, 9 p.","ipdsId":"IP-132822","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":449151,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2021.104705","text":"Publisher Index Page"},{"id":433410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Bitter Lake National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.36080938594469,\n              33.520358619429445\n            ],\n            [\n              -104.43881579390636,\n              33.51880990926614\n            ],\n            [\n              -104.4425286679454,\n              33.4036104944898\n            ],\n            [\n              -104.3632761203099,\n              33.4036104944898\n            ],\n            [\n              -104.36080938594469,\n              33.520358619429445\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"199","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cantu de Leija, Antonio","contributorId":341654,"corporation":false,"usgs":false,"family":"Cantu de Leija","given":"Antonio","email":"","affiliations":[{"id":81771,"text":"1307 School of Renewable Natural Resources","active":true,"usgs":false}],"preferred":false,"id":908747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawkins, Tracy S.","contributorId":341655,"corporation":false,"usgs":false,"family":"Hawkins","given":"Tracy","email":"","middleInitial":"S.","affiliations":[{"id":81773,"text":"Research Ecologist","active":true,"usgs":false}],"preferred":false,"id":908748,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228669,"text":"70228669 - 2022 - Geographic variation and thermal plasticity shape salamander metabolic rates under current and future climates","interactions":[],"lastModifiedDate":"2022-02-17T11:44:32.416322","indexId":"70228669","displayToPublicDate":"2022-01-15T10:18:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Geographic variation and thermal plasticity shape salamander metabolic rates under current and future climates","docAbstract":"<p><span>Predicted changes in global temperature are expected to increase extinction risk for ectotherms, primarily through increased metabolic rates. Higher metabolic rates generate increased maintenance energy costs which are a major component of energy budgets. Organisms often employ plastic or evolutionary (e.g., local adaptation) mechanisms to optimize metabolic rate with respect to their environment. We examined relationships between temperature and standard metabolic rate across four populations of a widespread amphibian species to determine if populations vary in metabolic response and if their metabolic rates are plastic to seasonal thermal cues. Populations from warmer climates lowered metabolic rates when acclimating to summer temperatures as compared to spring temperatures. This may act as an energy saving mechanism during the warmest time of the year. No such plasticity was evident in populations from cooler climates. Both juvenile and adult salamanders exhibited metabolic plasticity. Although some populations responded to historic climate thermal cues, no populations showed plastic metabolic rate responses to future climate temperatures, indicating there are constraints on plastic responses. We postulate that impacts of warming will likely impact the energy budgets of salamanders, potentially affecting key demographic rates, such as individual growth and investment in reproduction.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8433","usgsCitation":"Munoz, D.J., Miller, D., Schilder, R., and Campbell Grant, E.H., 2022, Geographic variation and thermal plasticity shape salamander metabolic rates under current and future climates: Ecology and Evolution, v. 12, no. 1, e8433,12 p., https://doi.org/10.1002/ece3.8433.","productDescription":"e8433,12 p.","ipdsId":"IP-116918","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":449154,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8433","text":"Publisher Index Page"},{"id":435997,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RKLDFU","text":"USGS data 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W.","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":834968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schilder, R.","contributorId":279476,"corporation":false,"usgs":false,"family":"Schilder","given":"R.","email":"","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":834969,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834970,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262054,"text":"70262054 - 2022 - A machine learning approach to identify barriers in stream networks demonstrates high prevalence of unmapped riverine dams","interactions":[],"lastModifiedDate":"2025-01-13T14:43:45.646463","indexId":"70262054","displayToPublicDate":"2022-01-15T07:41:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A machine learning approach to identify barriers in stream networks demonstrates high prevalence of unmapped riverine dams","docAbstract":"<p><span>Restoring stream ecosystem integrity by removing unused or derelict dams has become a priority for watershed conservation globally. However, efforts to restore connectivity are constrained by the availability of accurate dam inventories which often overlook smaller unmapped riverine dams. Here we develop and test a machine learning approach to identify unmapped dams using a combination of publicly available topographic and geospatial habitat data. Specifically, we trained a random forest classification algorithm to identify unmapped dams using digitally engineered predictor variables and known dam sites for validation. We applied our algorithm to two subbasins in the Hudson River watershed,&nbsp;</span>USA<span>, and quantified connectivity impacts, as well as evaluated a range of predictor sets to examine tradeoffs between classification accuracy and model parameterization effort. The random forest classifier achieved high accuracy in predicting dam sites (true positive rate&nbsp;=&nbsp;89%, false positive rate&nbsp;=&nbsp;1.2%) using a subset of variables related to stream slope and presence of upstream lentic habitats. Unmapped dams were prevalent throughout the two test watersheds. In fact, existing dam inventories underestimated the true number of dams by ∼80–94%. Accounting for previously unmapped dams resulted in a 62–90% decrease in dendritic connectivity indices for&nbsp;migratory fishes. Unmapped dams may be pervasive and can dramatically bias stream connectivity information. However, we find that machine learning approaches can provide an accurate and scalable means of identifying unmapped dams that can guide efforts to develop accurate dam inventories, thereby informing and empowering efforts to better manage them.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.113952","usgsCitation":"Buchanan, B., Sethi, S., Cuppett, S., Lung, M., Jackman, G., Zarri, L., Duvall, E., Dietrich, J., Sullivan, P., Dominitz, A., Archibald, J., Flecker, A., and Rahm, B., 2022, A machine learning approach to identify barriers in stream networks demonstrates high prevalence of unmapped riverine dams: Journal of Environmental Management, v. 302, no. Part A, 113952, 11 p., https://doi.org/10.1016/j.jenvman.2021.113952.","productDescription":"113952, 11 p.","ipdsId":"IP-129279","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467204,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2021.113952","text":"Publisher Index Page"},{"id":465979,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Foundry Brook, Lattintown Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.85258131006508,\n              41.29588488429172\n            ],\n            [\n              -73.85258131006508,\n              41.72638789605105\n            ],\n            [\n              -74.0515960683781,\n              41.72638789605105\n            ],\n            [\n              -74.0515960683781,\n              41.29588488429172\n            ],\n            [\n              -73.85258131006508,\n              41.29588488429172\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"302","issue":"Part A","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buchanan, Brian","contributorId":348048,"corporation":false,"usgs":false,"family":"Buchanan","given":"Brian","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":922901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cuppett, Scott","contributorId":348049,"corporation":false,"usgs":false,"family":"Cuppett","given":"Scott","affiliations":[{"id":56439,"text":"NY DEC","active":true,"usgs":false}],"preferred":false,"id":922902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lung, Megan","contributorId":348050,"corporation":false,"usgs":false,"family":"Lung","given":"Megan","affiliations":[{"id":56439,"text":"NY DEC","active":true,"usgs":false}],"preferred":false,"id":922903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackman, George","contributorId":348051,"corporation":false,"usgs":false,"family":"Jackman","given":"George","affiliations":[{"id":83297,"text":"Riverkeeper, Inc.","active":true,"usgs":false}],"preferred":false,"id":922904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zarri, Liam","contributorId":348052,"corporation":false,"usgs":false,"family":"Zarri","given":"Liam","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":922905,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duvall, Ethan","contributorId":348053,"corporation":false,"usgs":false,"family":"Duvall","given":"Ethan","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":922906,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dietrich, Jeremy","contributorId":348054,"corporation":false,"usgs":false,"family":"Dietrich","given":"Jeremy","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":922907,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sullivan, Patrick","contributorId":348055,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":922908,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dominitz, Alon","contributorId":348057,"corporation":false,"usgs":false,"family":"Dominitz","given":"Alon","affiliations":[{"id":56930,"text":"New York DEC","active":true,"usgs":false}],"preferred":false,"id":922909,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Archibald, Josephine","contributorId":348060,"corporation":false,"usgs":false,"family":"Archibald","given":"Josephine","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":922910,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Flecker, Alexander","contributorId":348061,"corporation":false,"usgs":false,"family":"Flecker","given":"Alexander","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":922911,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rahm, Brian","contributorId":348062,"corporation":false,"usgs":false,"family":"Rahm","given":"Brian","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":922912,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70250299,"text":"70250299 - 2022 - A comparison of orbital-resolution, Late Pleistocene Alkenone and foraminiferal assemblage-based sea surface temperature reconstructions from the Southwest Pacific","interactions":[],"lastModifiedDate":"2023-12-01T12:50:53.526701","indexId":"70250299","displayToPublicDate":"2022-01-15T06:49:03","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of orbital-resolution, Late Pleistocene Alkenone and foraminiferal assemblage-based sea surface temperature reconstructions from the Southwest Pacific","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Global and regional reconstructions of past climate conditions often incorporate&nbsp;sea surface temperature&nbsp;(SST) estimates from multiple proxies because not every&nbsp;paleotemperature&nbsp;proxy is applicable in all geographic locations. This practice of assimilating estimates from different proxies in global or regional temperature syntheses makes the implicit assumption that estimates derived from different proxies can be meaningfully intercompared. However, evidence to support the validity of this assumption is limited. Using paleotemperature data from sediments collected from&nbsp;ODP&nbsp;Site 1125 in the Southwest Pacific, we conduct a ∼1 Myr, orbital-scale SST proxy comparison of a recently published alkenone-derived SST record with a previously published foraminiferal assemblage-based SST record. These&nbsp;alkenone&nbsp;and foraminiferal assemblage SST datasets show strong structural similarity and yield remarkably similar estimates for basic climate metrics, including mean, median, standard deviation, and range. Statistical analysis indicates that the correlation between the two SST records is highly significant. In the spectral domain, the records share the same dominant 100 kyr beat, are coherent and in phase with each other at this frequency, and have the same coherence and phase relationship with benthic foraminiferal δ</span><sup>18</sup><span>O. Results from this work demonstrate that these two proxies would yield very similar estimates for the&nbsp;paleoclimate&nbsp;metrics most commonly used in empirical paleoclimate reconstructions that seek to document the evolution of climate over this interval. However, significant disparities between SST estimates derived from the two proxies exist for some time periods, particularly during glacial and interglacial extrema. This comparison suggests that treating estimates from these proxies as equivalent in studies that focus on short time windows (e.g. a few thousand to tens-of-thousands of years), particularly in investigations that seek to characterize glacial or interglacial extrema, could be potentially problematic. However, the sensitive location of Site 1125, just north of the Subtropical Front, likely accentuates the difference between temperature estimates from these proxies, which may be attenuated in other oceanographic settings. We attribute the discrepancies between the two SST records to two main causes: seasonal&nbsp;leakages&nbsp;of cold water across the Subtropical Front during glacial extrema and differential&nbsp;seasonality&nbsp;of maximum alkenone and foraminiferal production.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2021.107345","usgsCitation":"Henry, E.A., Lawrence, K., Peterson, L.C., and Robinson, M., 2022, A comparison of orbital-resolution, Late Pleistocene Alkenone and foraminiferal assemblage-based sea surface temperature reconstructions from the Southwest Pacific: Quaternary Science Reviews, v. 277, 107345, 13 p., https://doi.org/10.1016/j.quascirev.2021.107345.","productDescription":"107345, 13 p.","ipdsId":"IP-131918","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":449157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2021.107345","text":"Publisher Index Page"},{"id":423137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"277","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Henry, Emilie A.","contributorId":332081,"corporation":false,"usgs":false,"family":"Henry","given":"Emilie","email":"","middleInitial":"A.","affiliations":[{"id":79380,"text":"Lafayette College","active":true,"usgs":false}],"preferred":false,"id":889360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Kira T.","contributorId":332082,"corporation":false,"usgs":false,"family":"Lawrence","given":"Kira T.","affiliations":[{"id":79380,"text":"Lafayette College","active":true,"usgs":false}],"preferred":false,"id":889361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Laura C.","contributorId":332083,"corporation":false,"usgs":false,"family":"Peterson","given":"Laura","email":"","middleInitial":"C.","affiliations":[{"id":34070,"text":"Luther College","active":true,"usgs":false}],"preferred":false,"id":889362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Marci M.","contributorId":332084,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":889363,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262062,"text":"70262062 - 2022 - Similar environmental conditions are associated with Walleye and Yellow Perch recruitment success in Wisconsin lakes","interactions":[],"lastModifiedDate":"2025-01-10T17:20:31.111342","indexId":"70262062","displayToPublicDate":"2022-01-15T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Similar environmental conditions are associated with Walleye and Yellow Perch recruitment success in Wisconsin lakes","docAbstract":"<p><span>Since the mid-2000s, recruitment of Walleye&nbsp;</span><i>Sander vitreus</i><span>&nbsp;in some northern Wisconsin lakes has declined, potentially because of climate-induced changes in lake environments. Yellow Perch&nbsp;</span><i>Perca flavescens</i><span>&nbsp;is also an ecologically and culturally important fish species in this region, but mechanisms driving Yellow Perch recruitment are unclear because of a lack of targeted sampling. Previous studies have suggested that recruitment of these two species may be regulated by similar factors, and observed declines in Walleye recruitment may be cause for concern about Yellow Perch recruitment. Our objectives were to determine if abiotic factors related to recruitment success were similar between Walleye and Yellow Perch populations in northern Wisconsin lakes and if the probability of successful Walleye recruitment was related to estimates of juvenile Yellow Perch abundance before Walleye recruitment declines were observed. We addressed these objectives using historical data from Wisconsin lakes. Random forest analysis incorporating lake-specific averages of predictor variables indicated that winter conditions (duration or severity), growing degree days, variation in spring temperatures, peak summer temperature, and Secchi depth were important predictors of recruitment success for both species. Logistic regression indicated that before Walleye recruitment declines were observed on some lakes (2000–2006), Walleye recruitment success was related to relative abundance of juvenile Yellow Perch in mini-fyke-net sampling. Our results indicate that landscape-level patterns in recruitment success for the two species are likely similar and additional research to understand Yellow Perch recruitment trends is warranted. Better information on Yellow Perch recruitment could contribute to a better understanding of Walleye recruitment trends as declines in Yellow Perch could influence prey availability and survival of age-0 Walleye. Furthermore, potential declines in Yellow Perch could lead to changes in the numbers and size of Yellow Perch caught by anglers, which may have implications for harvest management.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10729","usgsCitation":"Brandt, E., Feiner, Z., Latzka, A., and Isermann, D.A., 2022, Similar environmental conditions are associated with Walleye and Yellow Perch recruitment success in Wisconsin lakes: North American Journal of Fisheries Management, v. 42, no. 3, p. 630-641, https://doi.org/10.1002/nafm.10729.","productDescription":"12 p.","startPage":"630","endPage":"641","ipdsId":"IP-127934","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.3619142125417,\n              46.69624201075456\n            ],\n            [\n              -92.3619142125417,\n              45.451292765361956\n            ],\n            [\n              -89.83163049007825,\n              45.451292765361956\n            ],\n            [\n              -89.83163049007825,\n              46.69624201075456\n            ],\n            [\n              -92.3619142125417,\n              46.69624201075456\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Brandt, Ethan J.","contributorId":348096,"corporation":false,"usgs":false,"family":"Brandt","given":"Ethan J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":922936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feiner, Zachary S.","contributorId":348097,"corporation":false,"usgs":false,"family":"Feiner","given":"Zachary S.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":922937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Latzka, Alexander W.","contributorId":348099,"corporation":false,"usgs":false,"family":"Latzka","given":"Alexander W.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":922938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922935,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262536,"text":"70262536 - 2022 - Differences in population characteristics and modeled response to harvest regulations in reestablished Appalachian Walleye populations","interactions":[],"lastModifiedDate":"2025-01-22T23:17:51.695114","indexId":"70262536","displayToPublicDate":"2022-01-15T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Differences in population characteristics and modeled response to harvest regulations in reestablished Appalachian Walleye populations","docAbstract":"<p><span>Historically, the Monongahela, Tygart, and Cheat River watersheds in West Virginia were impaired by acidification from acid mine drainage and Walleye&nbsp;</span><i>Sander vitreus</i><span>&nbsp;were extirpated from these watersheds by the 1940s. Walleye were reestablished after water quality improvements following passage of environmental legislation and subsequent reintroduction efforts. We compared population characteristics, with emphasis on growth, of Walleye and used modeling to predict the potential effects of harvest regulations in the Monongahela River and two main-stem reservoirs in the Cheat River and Tygart River watersheds. Statistical comparisons of von Bertalanffy growth curves and relative growth indices indicated that Walleye growth significantly differed across all water bodies. Relative growth index results suggested that Walleye growth was above average in Cheat Lake, average in the Monongahela River, and below average in Tygart Lake relative to other North American populations. Growth was negatively correlated with Walleye relative abundance and positively correlated with estimates of productivity (total phosphorus, chlorophyll&nbsp;</span><i>a</i><span>). Walleye diets significantly differed across all water bodies, with diets dominated by Yellow Perch&nbsp;</span><i>Perca flavescens</i><span>&nbsp;and Gizzard Shad&nbsp;</span><i>Dorosoma cepedianum</i><span>&nbsp;in Cheat Lake, where growth was fastest. Population modeling suggested that effects of exploitation on yield, spawning potential, and size structure were similar under regulations of no length limit and a minimum length limit (381 mm). Models suggested that removing length limits in Tygart Lake could increase angler harvest opportunities and pose minimal threat to the fishery. Models suggested that a protected slot limit could provide increased protection to the spawning potential of Cheat Lake and the Monongahela River populations. Additionally, models predicted that a protected slot limit could increase the number of large (&gt;630-mm) Walleye in these waters. Our findings demonstrate the different characteristics that Walleye populations can develop after reestablishment based on abiotic and biotic conditions and the need for watershed-specific management.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10723","usgsCitation":"Smith, D., Hilling, C., Welsh, S.A., and Wellman Jr., D., 2022, Differences in population characteristics and modeled response to harvest regulations in reestablished Appalachian Walleye populations: North American Journal of Fisheries Management, v. 42, no. 3, p. 612-629, https://doi.org/10.1002/nafm.10723.","productDescription":"18 p.","startPage":"612","endPage":"629","ipdsId":"IP-127935","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Cheat Lake, Monongahela River, Tygart Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.43609032800657,\n              39.70971363776053\n            ],\n            [\n              -80.43609032800657,\n              39.288105835150134\n            ],\n            [\n              -79.48527811621443,\n              39.288105835150134\n            ],\n            [\n              -79.48527811621443,\n              39.70971363776053\n            ],\n            [\n              -80.43609032800657,\n              39.70971363776053\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Dustin M.","contributorId":349597,"corporation":false,"usgs":false,"family":"Smith","given":"Dustin M.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":924503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilling, Corbin D.","contributorId":349598,"corporation":false,"usgs":false,"family":"Hilling","given":"Corbin D.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":924504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wellman Jr., David I.","contributorId":349599,"corporation":false,"usgs":false,"family":"Wellman Jr.","given":"David I.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":924505,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70255063,"text":"70255063 - 2022 - Wildfire effects on mass and thermal tolerance of Hydropsyche oslari (Trichoptera) in southwestern USA montane grassland streams","interactions":[],"lastModifiedDate":"2024-06-12T23:33:17.581674","indexId":"70255063","displayToPublicDate":"2022-01-14T18:30:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire effects on mass and thermal tolerance of Hydropsyche oslari (Trichoptera) in southwestern USA montane grassland streams","docAbstract":"<div class=\"col-lg-9 article__content\"><div class=\"article__body show-references \"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Large-scale disturbances, such as wildfire, can markedly affect streams for years. As terrestrial areas within a watershed slowly recover, stream environments and biota can experience repeated and long-lasting challenges. In 2011, the Las Conchas wildfire burned<span>&nbsp;</span><sup>1</sup>/<sub>3</sub><span>&nbsp;</span>of the Valles Caldera National Preserve in northern New Mexico, USA. Seven y post-fire, streams located near the burn perimeter continue to experience varying levels of alteration (e.g., channel alteration with large diel temperature swings), whereas the terrestrial uplands have begun to recover. Extreme temperatures in stream systems may affect the aquatic community, including ectotherms such as caddisflies. These post-fire temperature ranges may increase an ectotherm’s breadth of thermal adaptation, but at metabolic costs that diminish organismal performance, such as growth, development, and fecundity. In this study we characterized in-situ effects of varied thermal regimes across preserve streams on the performance of the caddisfly<span>&nbsp;</span><i>Hydropsyche oslari</i><span>&nbsp;</span>Banks, 1905. We measured mass and critical thermal maximum (CT<sub>max</sub>) in<span>&nbsp;</span><i>H. oslari</i><span>&nbsp;</span>larvae from preserve streams affected by wildfire (high temperature range) and in streams minimally affected by wildfire (low temperature range). We predicted that increased daily temperature maxima and reduced daily temperature minima (i.e., large diel temperature swings) would be associated with reduced<span>&nbsp;</span><i>H. oslari</i><span>&nbsp;</span>mass because of the limiting effects of suboptimal temperatures on growth. As predicted, in the weeks prior to their emergence as terrestrial adults, 5<sup>th</sup>-instar larvae within the high-temperature range stream had reduced mass (mean 3.3 ± SE 0.55 mg) relative to larvae from the low-temperature range stream (6.2 ± 0.69 mg). We also predicted that CT<sub>max</sub><span>&nbsp;</span>of<span>&nbsp;</span><i>H. oslari</i><span>&nbsp;</span>would reflect stream thermal history. Indeed, larvae<span>&nbsp;</span><i>H. oslari</i><span>&nbsp;</span>from the high-temperature range stream exhibited increased CT<sub>max</sub><span>&nbsp;</span>(35.4 ± 0.17°C) compared with larvae from the low-temperature range stream (34.4 ± 0.28°C). We demonstrated that the effects of wildfire on caddisflies can be long lasting, as evidenced by the reduced size at maturity and higher thermal tolerance in a caddisfly population 7 y post-fire.</p></div></div></div></div>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/718556","usgsCitation":"Kremer, L., and Caldwell, C.A., 2022, Wildfire effects on mass and thermal tolerance of Hydropsyche oslari (Trichoptera) in southwestern USA montane grassland streams: Freshwater Science, v. 41, no. 1, https://doi.org/10.1086/718556.","ipdsId":"IP-126038","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kremer, Lauren","contributorId":338486,"corporation":false,"usgs":false,"family":"Kremer","given":"Lauren","email":"","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":903301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903300,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227372,"text":"ofr20211120 - 2022 - Implementation plan of the National Cooperative Geologic Mapping Program strategy—Great Lakes (Central Lowland and Superior Upland Physiographic Provinces)","interactions":[],"lastModifiedDate":"2026-03-25T17:51:49.580485","indexId":"ofr20211120","displayToPublicDate":"2022-01-14T14:40:00","publicationYear":"2022","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":"2021-1120","displayTitle":"Implementation Plan of the National Cooperative Geologic Mapping Program Strategy—Great Lakes (Central Lowland and Superior Upland Physiographic Provinces)","title":"Implementation plan of the National Cooperative Geologic Mapping Program strategy—Great Lakes (Central Lowland and Superior Upland Physiographic Provinces)","docAbstract":"<h1>Introduction</h1><p>The U.S. Geological Survey (USGS) National Cooperative Geologic Mapping Program (NCGMP) has published a strategic plan entitled “Renewing the National Cooperative Geologic Mapping Program as the Nation’s Authoritative Source for Modern Geologic Knowledge”. This plan provides the following vision, mission, and goals for the program for the years 2020–30:</p><ul><li>Vision: create an integrated, three-dimensional (3D), digital geologic map of the United States.</li><li>Mission: characterize, interpret, and disseminate a national geologic framework model of the Earth through geologic mapping.</li><li>Goal: focus on geological mapping as a core function of the USGS within the long-term vision and mission of creating a digital geologic map and geologic framework model of the Nation.</li></ul><p>To achieve the goal outlined in the strategic plan, the NCGMP has developed an Implementation Plan. This Implementation Plan will guide annual reviews of the FEDMAP component (that is, the component of the USGS NCGMP that funds geologic mapping by USGS geologists) of the NCGMP projects described in the plan and the development of the annual FEDMAP prospectus, which will ensure the application of the NCGMP strategy.</p><p>This publication is part of the Implementation Plan of the NCGMP strategy and addresses the following three major topics:</p><ol><li>continued development of a consistent National geologic map and database;</li><li>the major unanswered geologic questions in the region; and</li><li>the societal concerns associated with these geologic questions, such as hazards, geologic and hydrologic resources, and environmental issues.</li></ol><p>The regions used in this chapter correspond with physiographic divisions of the United States as defined by Fenneman. Physiographic divisions are delineated on the basis of topography, and to a lesser extent, the geologic structure and history. The physiographic divisions are subdivided into physiographic provinces, and the physiographic provinces are subdivided into physiographic sections. Fenneman’s physiographic divisions of the United States provide a robust and useful spatial organization for delineating large geographic regions of the United States for various scientific and industrial applications.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211120","usgsCitation":"Swezey, C.S., Blome, C.D., Kincare, K.A., Lundstrom, S.C., Stone, B.D., Sweetkind, D.S., Berg, R.C., Brown, S.E., and Yellich, J.A., 2022, Implementation plan of the National Cooperative Geologic Mapping Program strategy—Great Lakes (Central Lowland and Superior Upland Physiographic Provinces): U.S. Geological Survey Open-File Report 2021–1120, 24 p., https://doi.org/10.3133/ofr20211120.","productDescription":"iv, 24 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-128891","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":501534,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112124.htm","linkFileType":{"id":5,"text":"html"}},{"id":394416,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20211120/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":394244,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1120/coverthb.jpg"},{"id":394245,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1120/ofr20211120.pdf","text":"Report","size":"3.16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1120"},{"id":394246,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1120/images/"},{"id":394247,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1120/ofr20211120.XML"}],"country":"Canada, United States","otherGeospatial":"Great Lakes (Central Lowland and Superior Upland Physiographic Provinces)","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.701171875,\n              34.016241889667015\n            ],\n            [\n              -75.234375,\n              34.016241889667015\n            ],\n            [\n              -75.234375,\n              50.51342652633956\n            ],\n            [\n              -98.701171875,\n              50.51342652633956\n            ],\n            [\n              -98.701171875,\n              34.016241889667015\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\" data-mce-href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\">Florence Bascom Geoscience Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 21092</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Scientific and Societal Relevance</li><li>Geological Mapping Strategy</li><li>Geologic Mapping Scientific Objectives</li><li>Geologic Mapping Work Plan and Strategy</li><li>Capability Gaps</li><li>Partners</li><li>Anticipated Impacts</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2022-01-14","noUsgsAuthors":false,"publicationDate":"2022-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Swezey, Christopher S. 0000-0003-4019-9264 cswezey@usgs.gov","orcid":"https://orcid.org/0000-0003-4019-9264","contributorId":173033,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher","email":"cswezey@usgs.gov","middleInitial":"S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":830640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":830641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kincare, Kevin A. 0000-0002-1050-3627 kkincare@usgs.gov","orcid":"https://orcid.org/0000-0002-1050-3627","contributorId":2106,"corporation":false,"usgs":true,"family":"Kincare","given":"Kevin","email":"kkincare@usgs.gov","middleInitial":"A.","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":830642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lundstrom, Scott C. 0000-0003-4149-2219 sclundst@usgs.gov","orcid":"https://orcid.org/0000-0003-4149-2219","contributorId":2446,"corporation":false,"usgs":true,"family":"Lundstrom","given":"Scott","email":"sclundst@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":830643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stone, Byron D. 0000-0001-6092-0798 bdstone@usgs.gov","orcid":"https://orcid.org/0000-0001-6092-0798","contributorId":1702,"corporation":false,"usgs":true,"family":"Stone","given":"Byron","email":"bdstone@usgs.gov","middleInitial":"D.","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":830644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":830645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Berg, Richard C.","contributorId":192821,"corporation":false,"usgs":false,"family":"Berg","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":830715,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, Steven E.","contributorId":192822,"corporation":false,"usgs":false,"family":"Brown","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":830716,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yellich, John A.","contributorId":243236,"corporation":false,"usgs":false,"family":"Yellich","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":33641,"text":"Michigan Geological Survey","active":true,"usgs":false}],"preferred":false,"id":830717,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227436,"text":"ofr20211108 - 2022 - Use case development for earth monitoring, analysis, and prediction (EarthMAP)—A road map for future integrated predictive science at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2022-01-18T13:12:00.432951","indexId":"ofr20211108","displayToPublicDate":"2022-01-14T14:13:14","publicationYear":"2022","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":"2021-1108","displayTitle":"Use Case Development for Earth Monitoring, Analysis, and Prediction (EarthMAP)—A Road Map for Future Integrated Predictive Science at the U.S. Geological Survey","title":"Use case development for earth monitoring, analysis, and prediction (EarthMAP)—A road map for future integrated predictive science at the U.S. Geological Survey","docAbstract":"<h1>Executive Summary</h1><p>The U.S. Geological Survey (USGS) 21st-century science strategy 2020–30 promotes a bureau-wide strategy to develop and deliver an integrated, predictive science capability that works at the scales and timelines needed to inform societally relevant resource management and protection and public safety and environmental health decisions (U.S. Geological Survey, 2021). This is the overarching goal of the USGS Earth Monitoring, Analysis, and Prediction (EarthMAP) vision, which consists of three components: (1) integrated data and information, (2) integrated predictive science, and (3) actionable information—all designed and delivered to respond to user needs. To launch this vision and help shape the design and implementation of integrated predictive science, the USGS Regional Offices each developed a set of use cases (hereafter Use Cases)—short descriptions of potential science applications that could clearly address high priority decision-making needs of our stakeholders and that align with an integrated science focus. Use Cases are not actionable science planning documents, nor stand-alone scholarly works, but should be considered as innovative, next-generation science ideas that can be considered as potential components of science plans still under development. The goal of Use Case development was to (1) identify and characterize existing USGS scientific capacities and expertise that can support science goals and products, (2) identify opportunities to leverage current capacities for next-generation science, and (3) foster engagement across the entire Bureau to further refine the USGS strategy for EarthMAP and integrated predictive science.</p><p>The Use Case development effort documented in this report was coordinated by the Use Case Development Team (UCDT), consisting of representatives from each region. The UCDT undertook five tasks: (1) develop a unified approach to engage bureau scientists consistently across all regions in aspirational thinking about what can be accomplished; (2) work with the regions and their Science Centers to generate an initial set of Use Cases, authored directly by scientists; (3) characterize, summarize, and document the initial set of Use Case submissions from authors to illuminate bureau-level demand for integrated science; (4) compare existing and needed capacities from the Use Case descriptions with preliminary results of the EarthMAP Capacity Assessment (Keisman and others, 2021); and (5) describe lessons learned from the Use Case development process and provide recommendations to inform future efforts to generate integrated science activities. This report outlines the approach the UCDT developed to solicit Use Cases from the regions and summarizes the high-level qualitative findings from this first-round effort.</p><p>The UCDT received 36 Use Cases from the regions and identified potential points of convergence and commonalities considered useful in making connections among the participating scientists. The Southwest (SW) Region and the Rocky Mountain (RM) Region asked scientists to give special consideration to Use Cases with applicability to the Colorado River Basin, and seven of the Use Cases specifically named that geographic area as a focus. Coastal hazards and coastal resilience were identified in Use Cases from the Alaska (AK), Northeast (NE), and Southeast (SE) Regions. Aspects of wildfire and post-wildfire response were part of Uses Cases from AK, RM, and SW Regions. The greatest convergence of Use Case themes was related to conservation of public lands and waters, which is a powerful linkage lending strength to future collaborative efforts.</p><p>The most common type of stakeholder decisions that would be informed by the Use Case science applications were related to adaptation, mitigation, and response (for example, how to increase the resilience of coastal communities to climate-related stressors and how to prevent or respond to harmful algal blooms). Other common types of decisions included water and land management decisions (including operational water management decisions such as reservoir operations and land use planning in the sagebrush biome), decisions about how to manage and conserve habitats and species, and risk management decisions (such as managing the post-wildfire flood risks). These decision types are not exclusive because many Use Cases cross categories.</p><p>Use Case authors identified existing and needed science and technology capabilities required for Use Case implementation, which were then aligned to capabilities assessed in the EarthMAP Capacity Assessment (Keisman and others, 2021). Strong alignment was found for data and information integration approaches, modeling and prediction approaches, and capabilities related to delivery of actionable information. A majority of Use Cases indicated insufficient current capacity for needed data collection methods, data integration, and modeling and prediction approaches, whereas only 25 percent indicated insufficient capacity for actionable information delivery. Overall, many Use Case capacity demand gaps could potentially be met by existing bureau-wide capacity. In addition, nearly half of the Use Cases could potentially be implemented within 3 years if funding, capabilities, and personnel impediments were removed and science priorities were realigned.</p><p>Several challenges emerged during the Use Case development process. The first challenge was developing an approach that was flexible enough to accommodate regional differences in planning and implementation, while also ensuring enough guidance to promote meaningful summary analyses. The UCDT encountered a strong demand for continuous communication and education to improve overall understanding of the integrated predictive science strategy. Another challenge was managing expectations about EarthMAP activities as a design effort that was not aligned to an immediate funding opportunity. Connecting the Use Cases to stakeholder needs without the opportunity for direct stakeholder engagement was also challenging. The last notable challenge was in obtaining consistent interpretation and characterization of the qualitative data housed in the narrative descriptions of Use Cases, written in different styles.</p><p>Overall, the 36 Use Cases can serve as components of a road map for advancing integrated monitoring and predictive science throughout the USGS by revealing opportunities to (1) encourage cross-region initiatives that address shared interests in common themes by integrating similar Use Cases and through direct involvement of stakeholders in identifying needs and designing effective responses, (2) leverage the Use Cases to target investments that are aligned with the Bureau and Department of the Interior (DOI) priorities, (3) connect Use Cases and the results of the companion EarthMAP Capacity Assessment (Keisman and others, 2021) to identify potential priorities for capacity building investments, and (4) raise awareness of common integrated and interdisciplinary science interests within and across the regions through Use Case and Capacity Assessment summary outreach activities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211108","programNote":"Science Synthesis, Analysis and Research Program","usgsCitation":"Wilson, T.S., Wiltermuth, M.T., Jenni, K.E., Horton, R.J., Hunt, R.J., Williams, D.M., Nolan, V.P., Aumen, N.G., Brown, D.S., Blasch, K.W., and Murdoch, P.S., 2022, Use case development for earth monitoring, analysis, and prediction (EarthMAP)—A road map for future integrated predictive science at the U.S. Geological Survey: U.S. Geological Survey Open-File Report 2021–1108, 137 p., https://doi.org/10.3133/ofr20211108.","productDescription":"vii, 132 p.","numberOfPages":"132","onlineOnly":"Y","ipdsId":"IP-129972","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":394402,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1108/covrthb.jpg"},{"id":394403,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1108/ofr20211108.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":394404,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1108/ofr20211108.xml"},{"id":394405,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1108/images"}],"contact":"<p><a href=\"https://www.usgs.gov/connect/staff-profiles\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/connect/staff-profiles\">Director</a>,<br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey&nbsp;</a><br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Executive Summary&nbsp;</li><li>Introduction&nbsp;</li><li>Approach to Develop Use Cases&nbsp;</li><li>Results&nbsp;</li><li>Discussion&nbsp;</li><li>Conclusions&nbsp;</li><li>References Cited&nbsp;</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-01-14","noUsgsAuthors":false,"publicationDate":"2022-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science 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,{"id":70247311,"text":"70247311 - 2022 - Long-term strategic plan for the Capital Area Ground Water Conservation Commission: Phase 2A final report","interactions":[],"lastModifiedDate":"2023-07-27T16:46:01.005133","indexId":"70247311","displayToPublicDate":"2022-01-14T11:34:09","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Long-term strategic plan for the Capital Area Ground Water Conservation Commission: Phase 2A final report","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"The Capital Area Ground Water Conservation Commission","usgsCitation":"Di Leonardo, D., Dausman, A., Clark, R., Runge, M.C., Dalyander, S., Hemmerling, S., Grismore, A., Afinowicz, J., Taucer, P., Skipwith, J., and Tsai, F.T., 2022, Long-term strategic plan for the Capital Area Ground Water Conservation Commission: Phase 2A final report, 441 p.","productDescription":"441 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,{"id":70227427,"text":"70227427 - 2022 - U.S. Atlantic margin gas hydrates","interactions":[],"lastModifiedDate":"2022-01-14T16:44:10.454953","indexId":"70227427","displayToPublicDate":"2022-01-14T10:18:10","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"U.S. Atlantic margin gas hydrates","docAbstract":"The minimum distribution of gas hydrates on the U.S. Atlantic margin is from offshore South Carolina northward to the longitude of Shallop Canyon on the southern New England margin. Few wells have logged or sampled the gas hydrate zone on this margin, meaning that the presence of gas hydrates is inferred primarily based on seismic data that reveal bottom simulating reflections, mostly at water depths greater than 2000 m. The highest hydrate saturations most likely exist in sandy sediments of the Whale Prospect offshore New Jersey, New York, and the western part of Cape Cod, an area characterized by strong bottom simulating reflections. Such reflections are also imaged on the well-studied Blake Ridge, where fine-grained sediments host lower hydrate saturations that have been constrained by drilling. Within the section of the margin stretching from south of Cape Hatteras to nearly Hudson Canyon, the diagnostic seismic reflections are hard to discern, making inferences about gas hydrate distributions more uncertain.  The recognition of as-yet unmapped bottom simulating reflections or top of gas features seaward of the 2000 m bathymetric contour (e.g., Cape Fear Slide, Currituck slide, beneath deepwater gas seeps) within the Mid-Atlantic Bight expands the area of probable gas hydrates on this margin.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World atlas of submarine gas hydrates in continental margins","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-81186-0_24","usgsCitation":"Ruppel, C.D., Shedd, W., Miller, N.C., Kluesner, J.W., Frye, M., and Hutchinson, D., 2022, U.S. Atlantic margin gas hydrates, chap. <i>of</i> World atlas of submarine gas hydrates in continental margins, p. 287-302, https://doi.org/10.1007/978-3-030-81186-0_24.","productDescription":"16 p.","startPage":"287","endPage":"302","ipdsId":"IP-122469","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science 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,{"id":70227425,"text":"70227425 - 2022 - Drivers, dynamics and impacts of changing Arctic coasts","interactions":[],"lastModifiedDate":"2022-01-14T16:03:12.61534","indexId":"70227425","displayToPublicDate":"2022-01-14T09:49:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7460,"text":"Nature Reviews Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Drivers, dynamics and impacts of changing Arctic coasts","docAbstract":"Arctic coasts are vulnerable to the effects of climate change, including rising sea levels and the loss of permafrost, sea ice and glaciers. Assessing the influence of anthropogenic warming on Arctic coastal dynamics, however, is challenged by the limited availability of observational, oceanographic and environmental data. Yet, with the majority of permafrost coasts being erosive, coupled with projected intensification of erosion and flooding, understanding these changes is critical. In this Review, we describe the morphological diversity of Arctic coasts, discuss important drivers of coastal change, explain the specific sensitivity of Arctic coasts to climate change and provide an overview of pan-Arctic shoreline change and its multifaceted impacts. Arctic coastal changes impact the human environment by threatening coastal settlements, infrastructure, cultural sites and archaeological remains. Changing sediment fluxes also impact the natural environment through carbon, nutrient and pollutant release on a magnitude that remains difficult to predict. Increasing transdisciplinary and interdisciplinary collaboration efforts will build the foundation for identifying sustainable solutions and adaptation strategies to reduce future risks for those living on, working at and visiting the rapidly changing Arctic coast.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s43017-021-00232-1","usgsCitation":"Irrgang, A.M., Bendixen, M., Farquharson, L.M., Baranskaya, A.V., Erikson, L.H., Gibbs, A.E., Ogorodov, S.A., Overduin, P.P., Lantuit, H., Grigoriev, M.N., and Jones, B., 2022, Drivers, dynamics and impacts of changing Arctic coasts: Nature Reviews Earth & Environment, v. 3, p. 39-54, https://doi.org/10.1038/s43017-021-00232-1.","productDescription":"16 p.","startPage":"39","endPage":"54","ipdsId":"IP-129580","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488911,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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Mette","contributorId":248329,"corporation":false,"usgs":false,"family":"Bendixen","given":"Mette","email":"","affiliations":[{"id":49858,"text":"Institute of Arctic and Alpine Research (INSTAAR), University of Colorado, Boulder, USA","active":true,"usgs":false}],"preferred":false,"id":830822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farquharson, Louise M. 0000-0001-8884-511X","orcid":"https://orcid.org/0000-0001-8884-511X","contributorId":208626,"corporation":false,"usgs":false,"family":"Farquharson","given":"Louise","email":"","middleInitial":"M.","affiliations":[{"id":37849,"text":"Geophysical Institute, University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":830823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baranskaya, Alisa V.","contributorId":271099,"corporation":false,"usgs":false,"family":"Baranskaya","given":"Alisa","email":"","middleInitial":"V.","affiliations":[{"id":56279,"text":"Lomonosov State University, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":830824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830825,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogorodov, Stanislav A.","contributorId":271100,"corporation":false,"usgs":false,"family":"Ogorodov","given":"Stanislav","email":"","middleInitial":"A.","affiliations":[{"id":56279,"text":"Lomonosov State University, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":830827,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Overduin, Pier Paul","contributorId":271101,"corporation":false,"usgs":false,"family":"Overduin","given":"Pier","email":"","middleInitial":"Paul","affiliations":[{"id":49850,"text":"Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":830828,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lantuit, Hugues","contributorId":248317,"corporation":false,"usgs":false,"family":"Lantuit","given":"Hugues","email":"","affiliations":[{"id":49850,"text":"Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":830829,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grigoriev, Mikhail N.","contributorId":271102,"corporation":false,"usgs":false,"family":"Grigoriev","given":"Mikhail","email":"","middleInitial":"N.","affiliations":[{"id":56280,"text":"Melnikov Permafrost Institute, Yakutsk, Russia","active":true,"usgs":false}],"preferred":false,"id":830830,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jones, Benjamin M. 0000-0002-1517-4711","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":208625,"corporation":false,"usgs":false,"family":"Jones","given":"Benjamin M.","affiliations":[{"id":37848,"text":"Water and Environmental Research Center, University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":true,"id":830831,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70237783,"text":"70237783 - 2022 - Multi-year, spatially extensive, watershed-scale synoptic stream chemistry and water quality conditions for six permafrost-underlain Arctic watersheds","interactions":[],"lastModifiedDate":"2022-10-24T14:17:42.867317","indexId":"70237783","displayToPublicDate":"2022-01-14T09:10:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"Multi-year, spatially extensive, watershed-scale synoptic stream chemistry and water quality conditions for six permafrost-underlain Arctic watersheds","docAbstract":"<p><span>Repeated sampling of spatially distributed river chemistry can be used to assess the location, scale, and persistence of carbon and nutrient contributions to watershed exports. Here, we provide a comprehensive set of water chemistry measurements and ecohydrological metrics describing the biogeochemical conditions of permafrost-affected Arctic watersheds. These data were collected in watershed-wide synoptic campaigns in six stream networks across northern Alaska. Three watersheds are associated with the Arctic Long-Term Ecological Research site at Toolik Field Station (TFS), which were sampled seasonally each June and August from 2016 to 2018. Three watersheds were associated with the National Park Service (NPS) of Alaska and the U.S. Geological Survey (USGS) and were sampled annually from 2015 to 2019. Extensive water chemistry characterization included carbon species, dissolved nutrients, and major ions. The objective of the sampling designs and data acquisition was to characterize terrestrial–aquatic linkages and processing of material in stream networks. The data allow estimation of novel ecohydrological metrics that describe the dominant location, scale, and overall persistence of ecosystem processes in continuous permafrost. These metrics are (1) subcatchment leverage, (2) variance collapse, and (3) spatial persistence. Raw data are available at the National Park Service Integrated Resource Management Applications portal (O'Donnell et al.,&nbsp;2021,&nbsp;</span><a href=\"https://doi.org/10.5066/P9SBK2DZ\" data-mce-href=\"https://doi.org/10.5066/P9SBK2DZ\">https://doi.org/10.5066/P9SBK2DZ</a><span>) and within the Environmental Data Initiative (Abbott, 2021,&nbsp;</span><a href=\"https://doi.org/10.6073/pasta/258a44fb9055163dd4dd4371b9dce945\" data-mce-href=\"https://doi.org/10.6073/pasta/258a44fb9055163dd4dd4371b9dce945\">https://doi.org/10.6073/pasta/258a44fb9055163dd4dd4371b9dce945</a><span>).</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-14-95-2022","usgsCitation":"Shogren, A., Zarnetske, J.P., Abbott, B., Bratsman, S.P., Brown, B.C., Carey, M.P., Fulweiber, R., Greaves, H., Haines, E., Iannucci, F., Koch, J.C., Medvedeff, A., O’Donnell, J.A., Patch, L., Poulin, B., Williamson, T.J., and Bowden, W.B., 2022, Multi-year, spatially extensive, watershed-scale synoptic stream chemistry and water quality conditions for six permafrost-underlain Arctic watersheds: Earth System Science Data, v. 14, p. 95-116, https://doi.org/10.5194/essd-14-95-2022.","productDescription":"22 p.","startPage":"95","endPage":"116","ipdsId":"IP-127222","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":491327,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SBK2DZ","text":"USGS data release","linkHelpText":"Stream and River Chemistry in Watersheds of Northwestern Alaska, 2015-2019"},{"id":449165,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-14-95-2022","text":"Publisher Index Page"},{"id":408641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": 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0000-0001-5861-3481","orcid":"https://orcid.org/0000-0001-5861-3481","contributorId":215170,"corporation":false,"usgs":false,"family":"Abbott","given":"Benjamin","email":"","affiliations":[{"id":39191,"text":"Bringham Young Unviersity","active":true,"usgs":false}],"preferred":false,"id":855625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bratsman, Samuel P.","contributorId":247668,"corporation":false,"usgs":false,"family":"Bratsman","given":"Samuel","email":"","middleInitial":"P.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":855626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Brian C.","contributorId":257319,"corporation":false,"usgs":false,"family":"Brown","given":"Brian","email":"","middleInitial":"C.","affiliations":[{"id":48387,"text":"BYU","active":true,"usgs":false}],"preferred":false,"id":855627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":855628,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fulweiber, Randy","contributorId":298445,"corporation":false,"usgs":false,"family":"Fulweiber","given":"Randy","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":855629,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greaves, Heather","contributorId":298447,"corporation":false,"usgs":false,"family":"Greaves","given":"Heather","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":855630,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haines, Emma","contributorId":298448,"corporation":false,"usgs":false,"family":"Haines","given":"Emma","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":855631,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Iannucci, Frances","contributorId":298450,"corporation":false,"usgs":false,"family":"Iannucci","given":"Frances","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":855632,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":855633,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Medvedeff, Alex","contributorId":298453,"corporation":false,"usgs":false,"family":"Medvedeff","given":"Alex","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":855634,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":855635,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Patch, Leika","contributorId":298455,"corporation":false,"usgs":false,"family":"Patch","given":"Leika","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":855636,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Poulin, Brett 0000-0002-5555-7733","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":260893,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett","affiliations":[{"id":52706,"text":"Department of Environmental Toxicology, University of California Davis, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":855637,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Williamson, Tanner J.","contributorId":223165,"corporation":false,"usgs":false,"family":"Williamson","given":"Tanner","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":855638,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Bowden, William B.","contributorId":169388,"corporation":false,"usgs":false,"family":"Bowden","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":855639,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70227459,"text":"70227459 - 2022 - Response to comment on “Evidence of humans in North America during the Last Glacial Maximum”","interactions":[],"lastModifiedDate":"2022-01-18T13:25:51.653562","indexId":"70227459","displayToPublicDate":"2022-01-14T07:24:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Response to comment on “Evidence of humans in North America during the Last Glacial Maximum”","docAbstract":"<div>Madsen<span>&nbsp;</span><i>et al</i>. question the reliability of calibrated radiocarbon ages associated with human footprints discovered recently in White Sands National Park, New Mexico, USA. On the basis of the geologic, hydrologic, stratigraphic, and chronologic evidence, we maintain that the ages are robust and conclude that the footprints date to between ~23,000 and 21,000 years ago.</div><div>Madsen<span>&nbsp;</span><i>et al</i>. (<a id=\"body-ref-R1-1\" href=\"https://www.science.org/doi/10.1126/science.abm6987#pill-R1\" data-xml-rid=\"R1\" data-mce-href=\"https://www.science.org/doi/10.1126/science.abm6987#pill-R1\"><i>1</i></a>) question the veracity of calibrated radiocarbon ages used to constrain the antiquity of human trackways discovered recently at White Sands National Park (WHSA) Locality 2, New Mexico, USA (<a id=\"body-ref-R2-1\" href=\"https://www.science.org/doi/10.1126/science.abm6987#pill-R2\" data-xml-rid=\"R2\" data-mce-href=\"https://www.science.org/doi/10.1126/science.abm6987#pill-R2\"><i>2</i></a>). The ages were derived from seeds of the aquatic plant<span>&nbsp;</span><i>Ruppia cirrhosa</i>, which they suggest may suffer from hard-water (or reservoir) effects, making them too old, potentially by thousands of years. We were well aware of this possibility, investigated it, and presented several lines of evidence that argued against such a problem. Here we respond to each of their four primary points.</div>","language":"English","publisher":"Science","doi":"10.1126/science.abm6987","usgsCitation":"Pigati, J.S., Springer, K.B., Bennett, M.R., Bustos, D., Urban, T.M., Holliday, V.T., Reynolds, S.C., and Odess, D., 2022, Response to comment on “Evidence of humans in North America during the Last Glacial Maximum”: Science, v. 375, no. 6577, 2 p., https://doi.org/10.1126/science.abm6987.","productDescription":"2 p.","ipdsId":"IP-134198","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":394451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"375","issue":"6577","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":831021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":831022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Matthew R.","contributorId":265968,"corporation":false,"usgs":false,"family":"Bennett","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":54847,"text":"Bournemouth University, U.K.","active":true,"usgs":false}],"preferred":false,"id":831023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bustos, David","contributorId":265969,"corporation":false,"usgs":false,"family":"Bustos","given":"David","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":831024,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Urban, Thomas M.","contributorId":271168,"corporation":false,"usgs":false,"family":"Urban","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":831025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holliday, Vance T.","contributorId":265971,"corporation":false,"usgs":false,"family":"Holliday","given":"Vance","email":"","middleInitial":"T.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":831026,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reynolds, Sally C.","contributorId":265972,"corporation":false,"usgs":false,"family":"Reynolds","given":"Sally","email":"","middleInitial":"C.","affiliations":[{"id":54847,"text":"Bournemouth University, U.K.","active":true,"usgs":false}],"preferred":false,"id":831027,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Odess, Daniel","contributorId":265975,"corporation":false,"usgs":false,"family":"Odess","given":"Daniel","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":831028,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70227766,"text":"70227766 - 2022 - Evaluating the effect of expert elicitation techniques on population status assessment in the face of large uncertainty","interactions":[],"lastModifiedDate":"2023-06-09T13:51:25.428617","indexId":"70227766","displayToPublicDate":"2022-01-14T06:44:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effect of expert elicitation techniques on population status assessment in the face of large uncertainty","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Population projection models are important tools for conservation and management. They are often used for population status assessments, for threat analyses, and to predict the consequences of conservation actions. Although conservation decisions should be informed by science, critical decisions are often made with very little information to support decision-making. Conversely, postponing decisions until better information is available may reduce the benefit of a conservation decision. When empirical data are limited or lacking, expert elicitation can be used to supplement existing data and inform model parameter estimates. The use of rigorous techniques for expert elicitation that account for uncertainty can improve the quality of the expert elicited values and therefore the accuracy of the projection models. One recurring challenge for summarizing expert elicited values is how to aggregate them. Here, we illustrate a process for population status assessment using a combination of expert elicitation and data from the ecological literature. We discuss the importance of considering various aggregation techniques, and illustrate this process using matrix population models for the wood turtle (<i>Glyptemys insculpta</i><span>) to assist&nbsp;U.S.&nbsp;Fish and Wildlife Service decision-makers with their Species Status Assessment. We compare estimates of population growth using data from the ecological literature and four alternative aggregation techniques for the expert-elicited values. The estimate of population growth rate based on estimates from the literature (λ</span><sub><i>mean</i></sub>&nbsp;=&nbsp;0.952, 95% CI: 0.87–1.01) could not be used to unequivocally reject the hypotheses of a rapidly declining population nor the hypothesis of a stable, or even slightly growing population, whereas our results for the expert-elicited estimates supported the hypothesis that the wood turtle population will decline over time. Our results showed that the aggregation techniques used had an impact on model estimates, suggesting that the choice of techniques should be carefully considered. We discuss the benefits and limitations associated with each method and their relevance to the population status assessment. We note a difference in the temporal scope or inference between the literature-based estimates that provided insights about historical changes, whereas the expert-based estimates were forward looking. Therefore, conducting an expert-elicitation in addition to using parameter estimates from the literature improved our understanding of our species of interest.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2022.114453","usgsCitation":"Moore, J.F., Martin, J., Waddle, H., Campbell Grant, E.H., Fleming, J.E., Bohnett, E., Akre, T.S., Brown, D., Jones, M.T., Meck, J.R., Oxenrider, K.J., Tur, A., Willey, L.L., and Johnson, F.A., 2022, Evaluating the effect of expert elicitation techniques on population status assessment in the face of large uncertainty: Journal of Environmental Management, v. 306, 114453, 10 p.; Data Release, https://doi.org/10.1016/j.jenvman.2022.114453.","productDescription":"114453, 10 p.; Data Release","ipdsId":"IP-127802","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":449168,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2022.114453","text":"Publisher Index Page"},{"id":395035,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417849,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99F5J2B"}],"volume":"306","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Jennifer F.","contributorId":189122,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":832085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":213994,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":206866,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohnett, Eve","contributorId":272548,"corporation":false,"usgs":false,"family":"Bohnett","given":"Eve","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":832090,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Akre, Thomas S.B.","contributorId":272549,"corporation":false,"usgs":false,"family":"Akre","given":"Thomas","email":"","middleInitial":"S.B.","affiliations":[{"id":56383,"text":"Conservation Ecology Center, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":832091,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, Donald J.","contributorId":265421,"corporation":false,"usgs":false,"family":"Brown","given":"Donald J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":832092,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Michael T.","contributorId":272550,"corporation":false,"usgs":false,"family":"Jones","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":16900,"text":"Massachusetts Division of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":832093,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meck, Jessica R.","contributorId":272551,"corporation":false,"usgs":false,"family":"Meck","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":37784,"text":"Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":832094,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oxenrider, Kevin J.","contributorId":244034,"corporation":false,"usgs":false,"family":"Oxenrider","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":832095,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tur, Anthony","contributorId":218956,"corporation":false,"usgs":false,"family":"Tur","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":832096,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Willey, Lisabeth L.","contributorId":272552,"corporation":false,"usgs":false,"family":"Willey","given":"Lisabeth","email":"","middleInitial":"L.","affiliations":[{"id":56384,"text":"Antioch University New England","active":true,"usgs":false}],"preferred":false,"id":832097,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Johnson, Fred A 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":224058,"corporation":false,"usgs":false,"family":"Johnson","given":"Fred","email":"","middleInitial":"A","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":832098,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70227528,"text":"70227528 - 2022 - Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes","interactions":[],"lastModifiedDate":"2022-01-25T17:44:15.635817","indexId":"70227528","displayToPublicDate":"2022-01-14T06:36:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Models help decision-makers anticipate the consequences of policies for ecosystems and people; for instance, improving our ability to represent interactions between human activities and ecological systems is essential to identify pathways to meet the 2030 Sustainable Development Goals. However, use of modeling outputs in decision-making remains uncommon. We share insights from a multidisciplinary National Socio-Environmental Synthesis Center working group on technical, communication, and process-related factors that facilitate or hamper uptake of model results. We emphasize that it is not simply technical model improvements, but active and iterative stakeholder involvement that can lead to more impactful outcomes. In particular, trust- and relationship-building with decision-makers are key for knowledge-based decision making. In this respect, nurturing knowledge exchange on the interpersonal (e.g., through participatory processes), and institutional level (e.g., through science-policy interfaces across scales), represent promising approaches. To this end, we offer a generalized approach for linking modeling and decision-making.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2022.105318","usgsCitation":"Weiskopf, S.R., Harmáčková, Z., Johnson, C.G., Londono-Murcia, M.C., Miller, B.W., Myers, B.J., Pereira, L., Arce-Plata, M.I., Blanchard, J.L., Ferrier, S., Fulton, E.A., Harfoot, M., Isbell, F., Johnson, J., Mori, A.S., Weng, E., and Rosa, I., 2022, Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes: Environmental Modelling & Software, v. 149, 105318, 7 p., https://doi.org/10.1016/j.envsoft.2022.105318.","productDescription":"105318, 7 p.","ipdsId":"IP-136050","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":449172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2022.105318","text":"Publisher Index Page"},{"id":394564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"149","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":831250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harmáčková, Zuzana","contributorId":271272,"corporation":false,"usgs":false,"family":"Harmáčková","given":"Zuzana","affiliations":[{"id":56330,"text":"Global Change Research Institute of the Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":831251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Ciara G.","contributorId":271273,"corporation":false,"usgs":false,"family":"Johnson","given":"Ciara","email":"","middleInitial":"G.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":831252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Londono-Murcia, Maria Cecilia","contributorId":271274,"corporation":false,"usgs":false,"family":"Londono-Murcia","given":"Maria","email":"","middleInitial":"Cecilia","affiliations":[{"id":56331,"text":"Instituto de Investigación de Recursos Biológicos Alexander von Humboldt","active":true,"usgs":false}],"preferred":false,"id":831253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":831254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Myers, Bonnie J.E.","contributorId":271275,"corporation":false,"usgs":false,"family":"Myers","given":"Bonnie","email":"","middleInitial":"J.E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":831255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pereira, Laura M.","contributorId":228936,"corporation":false,"usgs":false,"family":"Pereira","given":"Laura","middleInitial":"M.","affiliations":[],"preferred":false,"id":831256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arce-Plata, Maria 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Minnesota","active":true,"usgs":false}],"preferred":false,"id":831262,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Johnson, Justin A.","contributorId":211868,"corporation":false,"usgs":false,"family":"Johnson","given":"Justin A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":831263,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mori, Akira S.","contributorId":271281,"corporation":false,"usgs":false,"family":"Mori","given":"Akira","email":"","middleInitial":"S.","affiliations":[{"id":49222,"text":"Yokohama National University","active":true,"usgs":false}],"preferred":false,"id":831264,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Weng, Ensheng 0000-0002-1858-4847","orcid":"https://orcid.org/0000-0002-1858-4847","contributorId":267936,"corporation":false,"usgs":false,"family":"Weng","given":"Ensheng","email":"","affiliations":[{"id":49221,"text":"NASA Goddard Institute for Space Studies","active":true,"usgs":false}],"preferred":false,"id":831265,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rosa, Isabel M.D.","contributorId":271282,"corporation":false,"usgs":false,"family":"Rosa","given":"Isabel M.D.","affiliations":[{"id":36207,"text":"Bangor University","active":true,"usgs":false}],"preferred":false,"id":831266,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70227407,"text":"ofr20221005 - 2022 - Measurements of streamflow gain and loss on the Souris River between Lake Darling and Verendrye, North Dakota, August 31 and September 1, 2021","interactions":[],"lastModifiedDate":"2026-03-25T17:59:07.348746","indexId":"ofr20221005","displayToPublicDate":"2022-01-13T17:36:44","publicationYear":"2022","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":"2022-1005","displayTitle":"Measurements of Streamflow Gain and Loss on the Souris River between Lake Darling and Verendrye, North Dakota, August 31 and September 1, 2021","title":"Measurements of streamflow gain and loss on the Souris River between Lake Darling and Verendrye, North Dakota, August 31 and September 1, 2021","docAbstract":"<p>Dry conditions during 2020 and 2021 affected the water supply within the Souris River Basin and highlighted the need for better understanding of the streamflow dynamics for managing the resource during low-flow conditions. In June 2021, a loss of streamflow was observed on the Souris River between U.S. Geological Survey streamgages on the Souris River near Foxholm, North Dakota (site 1), and near Verendrye, N. Dak. (site 22). The largest loss was upstream from the Souris River above Minot, N. Dak. (site 7). On June 6, 2021, the daily mean streamflow decreased from 33.8 cubic feet per second at site 1 to 16.3 cubic feet per second at site 7, a loss of 17.5 cubic feet per second. To better understand where streamflow losses occurred in the reach from site 1 to site 22, multiple sites were selected for streamflow measurements between the three streamgages (sites 1, 7, and 22). Streamflow measurements made at 22 selected sites on the Souris River on August 31 and September 1, 2021, did not indicate the loss in streamflow that was observed at the three streamgages (sites 1, 7, and 22) in June 2021. Measurements made at the three streamgages (sites 1, 7, and 22) on August 31 had streamflows of 44.2, 45.9, and 46.8 cubic feet per second, respectively. Streamflow measured at all 22 sites on August 31 and September 1 on the Souris River ranged from 38.4 (site 9) to 49.8 cubic feet per second (site 12). In general, the largest change in streamflow was measured among sites on the Souris River in or near the city of Minot, N. Dak.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221005","collaboration":"Prepared in cooperation with the North Dakota Department of Water Resources, the U.S. Fish and Wildlife Service, and the U.S. Army Corps of Engineers, St. Paul District","usgsCitation":"Galloway, J.M., and Hanson, B.R., 2022, Measurements of streamflow gain and loss on the Souris River between Lake Darling and Verendrye, North Dakota, August 31 and September 1, 2021: U.S. Geological Survey Open-File Report 2022–1005, 10 p., https://doi.org/10.3133/ofr20221005.","productDescription":"Report: vi, 10 p.; Dataset","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-135605","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":394315,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1005/coverthb.jpg"},{"id":394317,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"},{"id":394316,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1005/ofr20221005.pdf","text":"Report","size":"1.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022–1005"},{"id":501538,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112123.htm","linkFileType":{"id":5,"text":"html"}},{"id":394329,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1005/images","description":"OFR 2022–1005 images"},{"id":394328,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1005/ofr20221005.XML","description":"OFR 2022–1005 XML"}],"country":"United States","state":"North Dakota","otherGeospatial":"Souris River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.6667,\n              48\n            ],\n            [\n              -100.5,\n              48\n            ],\n            [\n              -100.5,\n              48.50\n            ],\n            [\n              -101.6667,\n              48.50\n            ],\n            [\n              -101.6667,\n              48\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"mailto:%20dc_da@usgs.gov\" href=\"mailto:%20dc_da@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/dakota-water\" href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a> <br>U.S. Geological Survey<br>821 East Interstate Avenue<br>Bismarck, ND 58503 </p><p>1608 Mountain View Road<br>Rapid City, SD 57702</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Streamflow Gains and Losses on the Souris River</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-01-13","noUsgsAuthors":false,"publicationDate":"2022-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Brent R. brhanson@usgs.gov","contributorId":4836,"corporation":false,"usgs":true,"family":"Hanson","given":"Brent","email":"brhanson@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":830763,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250942,"text":"70250942 - 2022 - UAS-based tools for mapping and monitoring hydrothermal systems: An example from Mammoth Lakes, California","interactions":[],"lastModifiedDate":"2026-04-13T19:02:01.190707","indexId":"70250942","displayToPublicDate":"2022-01-13T09:28:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"UAS-based tools for mapping and monitoring hydrothermal systems: An example from Mammoth Lakes, California","docAbstract":"Unoccupied Aerial Systems (UAS) can accommodate a variety of tools for mapping and monitoring hydrothermal systems (e.g., magnetic, gas, photogrammetry, and thermal infrared [TIR]). These platforms offer increased speed, coverage area, and uniformity compared to ground-based measurements, as well as lower flight height – and therefore higher resolution – than occupied aircraft. \nWe adapted a suite of tools for use with UAS and implemented these methods in a study focused on the area around Shady Rest Park, Mammoth Lakes, California, within the Long Valley Caldera. This location, which contains tree kills, gas vents, soil gas emissions, heated ground, and hydrothermal alteration, is the site of ongoing efforts to monitor changes in the surface expression of the local hydrothermal system. The methods applied in this study include: (1) airborne visible imagery for surficial mapping and the creation of high-resolution digital elevation models; (2) airborne magnetic measurements; (3) airborne TIR imagery; (4) airborne gas emission measurements; and (5) ground-based gravity measurements.\nWe conducted these surveys in May and October of 2021, in part to establish baseline TIR and gas data against which future changes to the hydrothermal system may be assessed. UAS-based magnetic and ground-based gravity data were collected to map subsurface geology and to characterize potential subsurface controls on thermal anomalies and gas emissions. \nResults of these efforts at mapping and monitoring the hydrothermal system at Mammoth Lakes demonstrate how an integrated UAS- and ground-based approach may be applied more broadly to study other known or potential hydrothermal and volcanic systems. We consider the benefits and limitations of each method, particularly the TIR and gas sensors, which have less well-developed processing techniques in place for UAS applications. By integrating results from several of these different methods, however, the limitations facing each individual approach may be mitigated, and a better understanding of the hydrothermal system may be reached.","language":"English","publisher":"Geothermal Rising","usgsCitation":"Zielinski, L.A., Glen, J.M., Earney, T.E., Rea-Downing, G., Vaughan, R.G., Kelly, P.J., Keller, G.H., Dean, B.J., and Schermerhorn, W., 2022, UAS-based tools for mapping and monitoring hydrothermal systems: An example from Mammoth Lakes, California: Geothermal Resources Council Transactions, v. 46, p. 1618-1637.","productDescription":"20 p.","startPage":"1618","endPage":"1637","ipdsId":"IP-141539","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":424404,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://library.geothermal.org/publications/view/d2019086-2c10-48cf-bd8c-3615727c62db"},{"id":424423,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Mammoth Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.1827171992259,\n              37.76500020738908\n            ],\n            [\n              -119.1827171992259,\n              37.54211210128274\n            ],\n            [\n              -118.71305167188223,\n              37.54211210128274\n            ],\n            [\n              -118.71305167188223,\n              37.76500020738908\n            ],\n            [\n              -119.1827171992259,\n              37.76500020738908\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"46","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zielinski, Laurie Antoinette 0000-0002-9309-9243","orcid":"https://orcid.org/0000-0002-9309-9243","contributorId":303004,"corporation":false,"usgs":true,"family":"Zielinski","given":"Laurie","email":"","middleInitial":"Antoinette","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":892323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":892324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":892325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rea-Downing, Grant H. 0000-0002-8567-683X","orcid":"https://orcid.org/0000-0002-8567-683X","contributorId":333267,"corporation":false,"usgs":false,"family":"Rea-Downing","given":"Grant H.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":892326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vaughan, R. Greg 0000-0002-0850-6669","orcid":"https://orcid.org/0000-0002-0850-6669","contributorId":69030,"corporation":false,"usgs":true,"family":"Vaughan","given":"R.","email":"","middleInitial":"Greg","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":892327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":892328,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keller, Gordon H. 0000-0002-0798-6728","orcid":"https://orcid.org/0000-0002-0798-6728","contributorId":333268,"corporation":false,"usgs":false,"family":"Keller","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":892329,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dean, Branden James 0000-0003-2119-8426","orcid":"https://orcid.org/0000-0003-2119-8426","contributorId":303005,"corporation":false,"usgs":true,"family":"Dean","given":"Branden","email":"","middleInitial":"James","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":892330,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schermerhorn, William 0000-0002-0167-378X","orcid":"https://orcid.org/0000-0002-0167-378X","contributorId":303003,"corporation":false,"usgs":false,"family":"Schermerhorn","given":"William","affiliations":[{"id":65593,"text":"formerly at USGS","active":true,"usgs":false}],"preferred":false,"id":892331,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227624,"text":"70227624 - 2022 - A borehole test for chlorinated solvent diffusion and degradation rates in sedimentary rock","interactions":[],"lastModifiedDate":"2022-05-13T14:38:41.105076","indexId":"70227624","displayToPublicDate":"2022-01-13T07:17:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10067,"text":"Groundwater Monitoring and Remediation","active":true,"publicationSubtype":{"id":10}},"title":"A borehole test for chlorinated solvent diffusion and degradation rates in sedimentary rock","docAbstract":"<p>We present a new field measurement and numerical interpretation method (combined termed ‘test’) to parameterize the diffusion of trichloroethene (TCE) and its biodegradation products (DPs) from the matrix of sedimentary rock. The method uses a dual-packer system to interrogate a low-permeability section of the rock matrix adjacent to a previously contaminated borehole and uses the borehole monitoring history to establish the pre-test condition. TCE and its DPs are removed from the groundwater between the packers at the onset of the testing. The parameters estimated by fitting a radial diffusion model to the concentration history and borehole concentration data, also termed back-diffusion, are the tortuosity factor and sorption coefficients of TCE and DPs in the rock matrix and the TCE and DP biodegradation rate coefficients in the borehole. We demonstrate the equipment design and the interpretive method using a borehole accessing the grey mudstone at a TCE contaminated site in the Newark Basin. In this test, both nonreactive (bromide) and reactive (trichlorofluoroethene) tracers are used to constrain the estimated parameters; however, the bromide tracer was not needed to estimate the parameters in this test. The parameters estimated from the field test are consistent with values measured independently in laboratory experiments using field samples of similar lithology. From the interpretation, we compute the TCE and DP concentration distributions in the rock matrix prior to the test to illustrate how the results can be used to enhance understanding of contaminant distribution in the rock matrix.</p>","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwmr.12495","usgsCitation":"Allen-King, R.M., Kiekhaefer, R.L., Goode, D.J., Hsieh, P.A., Lorah, M.M., and Imbrigiotta, T.E., 2022, A borehole test for chlorinated solvent diffusion and degradation rates in sedimentary rock: Groundwater Monitoring and Remediation, v. 42, no. 2, p. 23-34, https://doi.org/10.1111/gwmr.12495.","productDescription":"12 p.","startPage":"23","endPage":"34","ipdsId":"IP-122580","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":394652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394804,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99I50JE","text":"USGS data release","linkHelpText":"A finite-difference algorithm used to simulate radial diffusion, adsorption, and reactions of chlorinated ethenes in porous media"}],"volume":"42","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen-King, Richelle M. 0000-0001-5559-1213","orcid":"https://orcid.org/0000-0001-5559-1213","contributorId":272047,"corporation":false,"usgs":false,"family":"Allen-King","given":"Richelle","email":"","middleInitial":"M.","affiliations":[{"id":56340,"text":"University at Buffalo, SUNY","active":true,"usgs":false}],"preferred":false,"id":831399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiekhaefer, Rebecca L.","contributorId":272048,"corporation":false,"usgs":false,"family":"Kiekhaefer","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[{"id":56340,"text":"University at Buffalo, SUNY","active":true,"usgs":false}],"preferred":false,"id":831400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goode, Daniel J. 0000-0002-8527-2456","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":216750,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":831402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorah, Michelle M. 0000-0002-9236-587X","orcid":"https://orcid.org/0000-0002-9236-587X","contributorId":224040,"corporation":false,"usgs":true,"family":"Lorah","given":"Michelle","middleInitial":"M.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":152114,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas","email":"timbrig@usgs.gov","middleInitial":"E.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831404,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70259596,"text":"70259596 - 2022 - Microcontinent breakup and links to possible plate boundary reorganization in the northern Gulf of California, México","interactions":[],"lastModifiedDate":"2024-10-16T12:07:00.668741","indexId":"70259596","displayToPublicDate":"2022-01-13T07:05:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Microcontinent breakup and links to possible plate boundary reorganization in the northern Gulf of California, México","docAbstract":"<div class=\"article-section__content en main\"><p>Faults on microcontinents record the dynamic evolution of plate boundaries. However, most microcontinents are submarine and difficult to study. Here, we show that the southern part of the Isla Ángel de la Guarda (IAG) microcontinent, in the northern Gulf of California rift, is densely faulted by a late Quaternary-active normal fault zone. To characterize the onshore kinematics of this Almeja fault zone, we integrated remote fault mapping using high-resolution satellite- and drone-based topography with neotectonic field-mapping. We produced 13 luminescence ages from sediment deposits offset or impounded by faults to constrain the timing of fault offsets. We found that north-striking normal faults in the Almeja fault zone continue offshore to the south and likely into the nascent North Salsipuedes basin southwest of IAG. Late Pleistocene and Holocene luminescence ages indicate that the most recent onshore fault activity occurred in the last ∼50 kyr. These observations suggest that the North Salsipuedes basin is kinematically linked with and continues onshore as the active Almeja fault zone. We suggest that fragmentation of the evolving IAG microcontinent may not yet be complete and that the Pacific-North America plate boundary is either not fully localized onto the Ballenas transform fault and Lower Delfin pull-apart basin or is in the initial stage of a plate boundary reorganization.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021TC006933","usgsCitation":"Higa, J.T., Brown, N.D., Moon, S., Stock, J.M., Sabbeth, L., Bennett, S.E., Martin-Barajas, A., and Argueta, M.O., 2022, Microcontinent breakup and links to possible plate boundary reorganization in the northern Gulf of California, México: Tectonics, v. 41, no. 1, e2021TC006933, 18 p., https://doi.org/10.1029/2021TC006933.","productDescription":"e2021TC006933, 18 p.","ipdsId":"IP-121910","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467205,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021tc006933","text":"Publisher Index Page"},{"id":462905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Gulf of California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.14197648170841,\n              32.984351200574906\n            ],\n            [\n              -118.14197648170841,\n              21.52832127726036\n            ],\n            [\n              -104.78260148170861,\n              21.52832127726036\n            ],\n            [\n              -104.78260148170861,\n              32.984351200574906\n            ],\n            [\n              -118.14197648170841,\n              32.984351200574906\n            ]\n          ]\n        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0000-0001-5207-1781","orcid":"https://orcid.org/0000-0001-5207-1781","contributorId":264625,"corporation":false,"usgs":false,"family":"Moon","given":"Seulgi","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":915873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stock, Joann M.","contributorId":198445,"corporation":false,"usgs":false,"family":"Stock","given":"Joann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":915874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sabbeth, Leah 0000-0001-6615-7949","orcid":"https://orcid.org/0000-0001-6615-7949","contributorId":345163,"corporation":false,"usgs":false,"family":"Sabbeth","given":"Leah","email":"","affiliations":[{"id":82504,"text":"California Technical Institute","active":true,"usgs":false}],"preferred":false,"id":915875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":915876,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martin-Barajas, Arturo 0000-0003-0338-8154","orcid":"https://orcid.org/0000-0003-0338-8154","contributorId":345164,"corporation":false,"usgs":false,"family":"Martin-Barajas","given":"Arturo","email":"","affiliations":[{"id":82505,"text":"Centro de Investigación Científica y de Educación Superior de Ensenada","active":true,"usgs":false}],"preferred":false,"id":915877,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Argueta, Marina O.","contributorId":345165,"corporation":false,"usgs":false,"family":"Argueta","given":"Marina","email":"","middleInitial":"O.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":915878,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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