MODELING MOOSE POPULATIONS FOR MANAGEMENT DECISION MAKING IN ALASKA

Abstract

We took a previously described moose (Alces alces) model for the Kenai Peninsula, Alaska and enhanced its capabilities. The model produced year by year calculations of all pertinent population statistics and harvest by age class. The refined model was used to evaluate proposals for changes to hunting regulations predicted population trends over time (e.g., 3, 5, or 9 year durations) in response to various simulated management actions allowed decision makers to judge the relative merits of various harvest regimes. the model allowed planning for moderate to long-term, rather than reacting annually to short-term changes in weather, harvest, or public perceptions. Simulations allowed managers to evaluate various regulatory regimes, looking for those that produce desired outcomes on a long-term basis while considering impacts of severe winters. easy to understand graphics allowed for quick interpretations of model runs by administrators and the public, which facilitated the manager’s ability to demonstrate the consequences of a particular management action. the model and its results were accepted by the public and decision makers. Model output guided decision makers when evaluating proposed changes to harvest regulations.