• Title of article

    Managing moose harvests by the seat of your pants

  • Author/Authors

    Boyce، نويسنده , , Mark S. and Baxter، نويسنده , , Peter W.J. and Possingham، نويسنده , , Hugh P.، نويسنده ,

  • Issue Information
    دوماهنامه با شماره پیاپی سال 2012
  • Pages
    8
  • From page
    340
  • To page
    347
  • Abstract
    Moose populations are managed for sustainable yield balanced against costs caused by damage to forestry or agriculture and collisions with vehicles. Optimal harvests can be calculated based on a structured population model driven by data on abundance and the composition of bulls, cows, and calves obtained by aerial-survey monitoring during winter. Quotas are established by the respective government agency and licenses are issued to hunters to harvest an animal of specified age or sex during the following autumn. Because the cost of aerial monitoring is high, we use a Management Strategy Evaluation to evaluate the costs and benefits of periodic aerial surveys in the context of moose management. Our on-the-fly “seat of your pants” alternative to independent monitoring is management based solely on the kill of moose by hunters, which is usually sufficient to alert the manager to declines in moose abundance that warrant adjustments to harvest strategies. Harvests are relatively cheap to monitor; therefore, data can be obtained each year facilitating annual adjustments to quotas. Other sources of “cheap” monitoring data such as records of the number of moose seen by hunters while hunting also might be obtained, and may provide further useful insight into population abundance, structure and health. Because conservation dollars are usually limited, the high cost of aerial surveys is difficult to justify when alternative methods exist.
  • Keywords
    Sustainable yield , Management Strategy Evaluation , hunting , Harvest models , Monitoring , Adaptive management
  • Journal title
    Theoretical Population Biology
  • Serial Year
    2012
  • Journal title
    Theoretical Population Biology
  • Record number

    1567606