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TRENDS OF DEER AND DEER HUNTERS ON PRINCE OF WALES ISLAND. Todd J. Brinkman, University of Alaska Fairbanks. OUTLINE. Titus and Beier. Background Deer Hunters Deer Populations Future Opportunities. Hunters experiencing difficulty harvesting enough deer to meet their needs
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TRENDS OF DEER AND DEER HUNTERS ON PRINCE OF WALES ISLAND Todd J. Brinkman, University of Alaska Fairbanks
OUTLINE Titus and Beier Background Deer Hunters Deer Populations Future Opportunities
Hunters experiencing difficulty harvesting enough deer to meet their needs #1 Game management issue amongst State and Federal Agencies in southeast Alaska. Unit 2 Deer Planning Subcommittee of the SE AK Regional Advisory Council
1950-1995 Clearcut logging Roads
600 500 400 Logged mmb 300 200 100 0 1900 1920 1940 1960 1980 2000 Year Logging Boom & Bust
Brinkman et al. 2007. J. Ecological Anthropology; Brinkman et al. 2009. Ecology and Society • Hunter interviews • Deer hunter patterns • Deer population trends • Deer habitat and access • Used geographic information systems to quantify changes in: • Logging activity • Forest habitat composition • Road access through time
Brinkman 2006. Community Report • 88 hunters • 31 Native, 57 non-Native • Average age = 47 (18 to 94) • Average hunting experience = 20 years • Average harvest = 6 deer/yr
Hunter/Deer/Land 1950-1995 (Ellanna and Sherrod 1987, Brinkman et al. 2007)
Brinkman et al. 2009. Ecology and Society Best hunting = 2 year old clearcut Good hunting = 0-8 year old clearcut Unhuntable (86%) = clearcut >12 years
Clearcut logging Roads Second-growth forest
Wallmo and Schoen 1980 Hanley 1984, 1993 Schoen et al. 1988
Klein 1965 Wallmo 1981 Parker et al. 1999 White et al. 2009
Energy costs dramatically (5 times normal) elevated when snow depth above knee height (Parker et al. 1984) • Particularly in wet and heavy snow Wallmo and Schoen 1981
How have these changes affected deer population size on POW? Photo Courtesy LaVern Beier and Kim Titus
DNA-filled coating DEER PELLET
Brinkman et al. 2009a. Conservation Genetics • Identify individual deer • Allowing estimates of population size. • Identify the sex of the deer • Determine the relationship between deer on POW
3 years (2006-2008) 3 month/yr (March-May)
Microsatellite Markers Isolate pieces of DNA that are unique among individual deer
634 unique individuals • Probability of Identity = 0.0003 • 1 of 3,333 • Success rate • 2006 – 41% • 2007 – 50% • 2008 – 87%
Young Harvest (<30 year old) 10.5 deer/km2 Nonharvest 12.3 deer/km2
Nonharvest 12.3 deer/km2 Old harvest (>30 years old) 7.6 deer/km2
Pellet counts vs. DNA-based estimates? • Increase the value of 30 years of hard work? • Sex ratios • 2008 – 25% males (1 out of 4) • Habitat use
8 2 3 12 6 8 2 12 2 9 8 16 7 9 11 5
Staney 36 km Steelhead Maybeso 1 Effective Migrant every 5 years
Thank You Very Much! The End
Funding was primarily provided by the USDA Forest Service. Funding and in-kind support was also provided by the Alaska Trappers Association, the Resilience and Adaptation Program (IGERT, National Science Foundation 0114423), the Bonanza Creek LTER (National Science Foundation grant 0423442) and the University of Alaska Fairbanks Biology and Wildlife Department and Institute of Arctic Biology. I thank all the hunters who participated in this study for kindly sharing their time, knowledge, and hunting experiences. Craig Community Association, Hydaburg Cooperative Association (especially Tony Christianson), and Klawock Cooperative Association assisted with interview participation and scheduling. Alva Perotrovich, Joey Adams, Nicole Phillips, and Rett Janzen. Dr. Terry Chapin, Dr. Kris Hundertmark, Dr. Gary Kofinas, Dr. Dave Person, and Dr. Winston Smith