Managing moose harvests by the seat of your pants

Boyce, Mark S., Baxter, Peter W. J. and Possingham, Hugh P. (2012) Managing moose harvests by the seat of your pants. Theoretical Population Biology, 82 4: 340-347. doi:10.1016/j.tpb.2012.03.002

Author Boyce, Mark S.
Baxter, Peter W. J.
Possingham, Hugh P.
Title Managing moose harvests by the seat of your pants
Journal name Theoretical Population Biology   Check publisher's open access policy
ISSN 0040-5809
Publication date 2012-12
Sub-type Article (original research)
DOI 10.1016/j.tpb.2012.03.002
Volume 82
Issue 4
Start page 340
End page 347
Total pages 8
Place of publication Maryland Heights, MO, United States
Publisher Academic Press
Collection year 2013
Language eng
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.
Keyword Adaptive management
Harvest models
Management Strategy Evaluation
Sustainable yield
Matrix Population-Models
Adaptive Management
Economic Value
Unit Effort
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2013 Collection
School of Biological Sciences Publications
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