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Reporting Issues and Trends of Alaska Moose Hunters. Jen Schmidt Post Doc, Institute of Arctic Biology, UAF Contact: fsjis@uaf.edu. Under Reporting by Moose Hunters: Background. Previously researched by Andersen and Alexander 1992 in interior Alaska Ours differs in that we:

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reporting issues and trends of alaska moose hunters

Reporting Issues and Trends of Alaska Moose Hunters

Jen Schmidt

Post Doc, Institute of Arctic Biology, UAF

Contact: fsjis@uaf.edu

under reporting by moose hunters background
Under Reporting by Moose Hunters: Background
  • Previously researched by Andersen and Alexander 1992 in interior Alaska
  • Ours differs in that we:
    • Expanded the focus to Statewide
    • Added some new parameters
    • More of a statistical approach
  • Two measures of reported harvest
    • Subsistence household surveys conducted by members of the community through the division of Subsistence at the Alaska Department of Fish and Game (ADF&G)
    • Harvest tickets that are returned to division of Wildlife Conservation at ADF&G
  • Measure of under reporting
    • Ratio = Subsistence Household Surveys

Hunter Harvest Tickets

under reporting by moose hunters limitations
Under Reporting by Moose Hunters: Limitations
  • The “year” does not match up between the two databases
    • Subsistence (January-December)
    • Hunter Harvest Tickets (July-June)
    • Since most moose are harvested in the fall this minimizes this issue since fall is in the same “year” for the two databases
  • In large communities not all households can be surveyed so survey information must be extrapolated to represent the whole community
slide4

n = 97

n = 118

under reporting by moose hunters model parameters
Under Reporting by Moose Hunters: Model & Parameters
  • General linear model
  • Parameters (* used by Andersen and Alexander 1992)
    • Percent of a community that:
      • Attempts to harvest a moose*
      • Harvests a moose*
      • Receives meat or other parts of a moose*
      • Shares/Gives meat or other parts of a moose*
      • Is Native*
    • Population Size*
    • Median Household Income*
    • Presence of an Area Biologist employed by ADF&G*
    • Distance (Km) from a community with an Area Biologist
    • Presence of a license vendor
model results
Model Results

Full Model P- value = 0.02

Reduced Model P-value = 0.002

*Percent of a community

Positive value indicates increase in under-reporting

under reporting by moose hunters conclusions
Under Reporting by Moose Hunters: Conclusions
  • The simplest model that explains under reporting contains the percent of the community that:
    • harvests a moose
    • uses meat or any part of a moose
    • receives meat or any part of a moose
  • Smaller and more rural communities appear to have more under reporting, but if small amounts of under reporting by large cities can amount to large under reporting
under reporting by moose hunters future
Under Reporting by Moose Hunters: Future
  • Explore if reporting rates differ in areas that have or had co-management programs or working groups
  • Better understand why the results from the two methods used differ for the percent of the community that hunts moose and uses moose meat or parts
background
Background
  • Data used was the hunter harvest tags returned by moose hunters to the Alaska Department of Fish and Game (ADF&G) regardless of success
  • Statewide analysis
  • Dates range from 1990 to 2006
slide14

n = 111,985

p < 0.001

slide15

n = 111,985

p < 0.001

In the legend the change in 3 or 4 wheeler use decreases from left to right

conclusions
Conclusions
  • Management decisions at the local level can be observed at the Statewide level
  • Location and presence of moose influence how far hunters travel
  • There is a lot of spatial variability, however certain trends can be observed such as:
    • Increase of 3 or 4 wheelers and airboats
    • Relatively content number of moose hunters, harvest level, and overall success
slide20
Thanks to EPSCoR for there support

Also thanks to the Alaska Department of Fish and Game for the use of their data and feedback.

Jen Schmidt

Contact: fsjis@uaf.edu

examples of moose habitat rules
Examples of moose-habitat rules

Direct climate effects on moose

Moose void deep snow (>2.3 ft) because it increases death of moose

Warm conditions are stressful for moose

Winter >23°F (-5°C); Summer 57°F (14°C)

Indirect climate effects: More wildfire

Moose prefer recent burns (11-25 years)

Moose prefer burn edges and unburned patches within a burn

Moose move into burns if moose density high

Moose move into burns if unburned habitat is poor for moose and/or limits the number of moose

Changes in vegetation

Moose prefer deciduous over spruce or tundra, so changes of spruce or tundra to deciduous will increase moose habitat

Hunter behavior

Moose hunting is concentrated near roads and rivers

Weather (e.g., warm fall, early snow) influences harvest success

Increased temperature in fall can lead to spoilage of moose meat

Influence of gas price/employment on harvest level