Item talk:Q46526
From geokb
orcid:
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meta: status_code: 200 timestamp: '2023-09-30T16:43:22.941581' url: https://www.usgs.gov/staff-profiles/dalton-hance profile: abstracts: [] affiliations: [] education: - "M.Sc. 2014 \u2013 Statistics, Oregon State University, Corvallis, OR" - "M.Sc. 2013 \u2013 Forest Science, Oregon State University, Corvallis, OR" - "B.Sc./B.A. 2006 \u2013 Mathematics/English, Pennsylvania State University,\ \ State College, PA" email: dhance@usgs.gov expertise_terms: - Bayesian Statistics - Capture-Recapture - Population Dynamics - Quantitative Fisheries Ecology honors: [] intro_statements: - "Fisheries data does not speak for itself \u2013 no matter the size, detail,\ \ complexity, or expense at which it was collected. My research is focused on\ \ improving and applying statistical methods that maximize the value of existing\ \ data or of planned studies for assessing fish movement and survival, and the\ \ relationships of these demographic parameters to management levers." name: Dalton Hance name_qualifier: null orcid: 0000-0002-4475-706X organization_link: https://www.usgs.gov/centers/western-fisheries-research-center organization_name: Western Fisheries Research Center personal_statement: "I work at the Columbia River Research Laboratory as a Research\ \ Statistician within the Quantitative Fisheries Ecology Section. Currently,\ \ my work is focused on Snake River Fall Chinook salmon and Chinook salmon in\ \ the Sacramento \u2013 San Joaquin system. My graduate work investigated seasonal\ \ movement of Oregon Coast Coho Salmon by accounting for imperfect detection\ \ of tagged individuals. Prior to working with USGS, I conducted statistical\ \ analysis of environmental contaminants in fish, sediment, and water in various\ \ locations throughout the United States.Research Interests:My main research\ \ interest is in developing and applying mark-recapture models to fisheries\ \ data. Simple mark-recapture models have been used for decades to inform management\ \ data in the Columbia River and other basins. However, many existing methods\ \ do not take full advantage of the wealth of data offered by telemetry data.\ \ For example, analysts commonly ignore the temporal dimension of these data\ \ by either aggregating fish released or detected over several days or weeks\ \ into an artificial \u201Csingle-release\u201D, often this entails discarding\ \ data (e.g. fish released or detected outside of an arbitrary timeframe). I\ \ am interested in developing and expanding process-based statistical models\ \ that account for this temporal variation and make more efficient use of the\ \ available data while also providing more informative results that can address\ \ operational and environmental conditions at a timescale that is relevant to\ \ management (e.g. daily)." professional_experience: - "2016 to Present \u2013 Statistician, U.S. Geological Survey, Western Fisheries\ \ Research Center, Columbia River Research Laboratory, Cook, WA" - "2014 \u2013 2016 \u2013 Environmental Scientist, Anchor QEA, Wenatchee, WA" - "2010 \u2013 2014 \u2013 Graduate Research Assistant, College of Forestry, Oregon\ \ State University, Corvallis, OR" - "2007 \u2013 2010 \u2013 Clinical Research Coordinator, Department of Physics,\ \ University of Pennsylvania, Philadelphia, PA" title: Research Statistician (Biology)
