A Game-theoretic Approach to Wildlife Management

Humza Khan and Dr. Fernando Charro, Department of Mathematics, Wayne State University, 42 W Warren Ave, Detroit, MI 48202

The cost for the administration of up-keeping the environment in some semi-abandoned rural areas in Spain is unaffordable given the current state of decay and breadth of the task. Moreover, there is the added problem of maintaining improvements over time, which is expensive and requires a long-term compromise either from the administration, which is not always possible, or from the people that live in these areas, who have no incentive to carry out this maintenance. This leaves preserves to turn to measures that focus solely on monetizing their own resources by taking short-term measures that overall will not help the environment. 

In our work, we have used game theory to study the design of an agreement among hunting preserves to conserve wildlife and support each other, both financially, and for the betterment of the environment. We show that it is possible for the administration to encourage the formation of coalitions of management units that carry out high-quality environmental interventions. We have created a mathematical model for this situation that incorporates regulated hunting as an active agent and funding mechanism. We show that, in this way, it is possible to achieve the same environmental goals with less cost for the administration, create an incentive to upkeep the improvements years after the implementation, and generate funding to support said maintenance, somehow breaking the cycle of scarcity.



Additional Abstract Information

Presenter: Humza Khan

Institution: Wayne State University

Type: Oral

Subject: Mathematics

Status: Approved

Time and Location

Session: Oral 4
Date/Time: Tue 11:00am-12:00pm
Session Number: 446
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