Clinton T. Moore USGS Patuxent Wildlife Research Center |
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Telephone: 706-542-1609 Fax: 706-542-1235 Email: cmoore@usgs.gov Statistician |
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Primary Responsibilities:
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Education/Training: |
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Areas of Expertise/Interest: Optimal decision making for natural resource systems, statistical applications to natural resource problems, dynamic modeling of populations and habitats | |
Accomplishments/Awards/Achievements: 2001 - Scientific Achievement Award, USGS Patuxent Wildlife Research Center 2000 - Stoddard-Burleigh-Sutton Award for Excellence in Wildlife Conservation, University of Georgia 1998-2001 - STAR (Science To Achieve Results) Graduate Fellowship, U.S. Environmental Protection Agency 1997-2000 - University-Wide Assistantship, University of Georgia 1997 - On-the-Spot Achievement Award, U.S. Fish and Wildlife Service 1996 - STAR Special Achievement Award, U.S. Fish and Wildlife Service 1992 - Certified Wildlife Biologist, The Wildlife Society 1989 - Distinguished Service Citation, Florida Game and Fresh Water Fish Commission 1982 - Undergraduate honors, Magna cum laude, University of Georgia |
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Active Projects: Directing Succession through Adaptive Management in National Wildlife Refuges: Reed Canary Grass Control and Transition to Wetland Forests and Meadows Adaptive Management of Releases to the Florida Non-migratory Whooping Crane Population Adaptive Decision Support for Landscape-level Conservation of Birds in Early Successional Habitats on Private Lands in Georgia Inventory and Monitoring in Support of Management for Rare Communities in the Cherokee National Forest Adaptive Management Research and Applications Statistical Modeling and Applications Development in the Study of Natural Resource Systems |
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Publications/Products: Moore, C. T. Adaptive management: Clear direction in an uncertain world. Presentation at Water Seminar Lecture Series, University of Nebraska, 30 January 2008, Lincoln, Neb. Moore, C. T., and M. J. Conroy. 2006. Optimal regeneration planning for old-growth forest: addressing scientific uncertainty in endangered species recovery through adaptive management. Forest Science 52:155-172.
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