Title of article
Optimal investment for enhancing social concern about biodiversity conservation: A dynamic approach
Author/Authors
Lee، نويسنده , , Joung Hun and Iwasa، نويسنده , , Yoh، نويسنده ,
Issue Information
دوماهنامه با شماره پیاپی سال 2012
Pages
10
From page
177
To page
186
Abstract
To maintain biodiversity conservation areas, we need to invest in activities, such as monitoring the condition of the ecosystem, preventing illegal exploitation, and removing harmful alien species. These require a constant supply of resources, the level of which is determined by the concern of the society about biodiversity conservation. In this paper, we study the optimal fraction of the resources to invest in activities for enhancing the social concern y ( t ) by environmental education, museum displays, publications, and media exposure. We search for the strategy that maximizes the time-integral of the quality of the conservation area x ( t ) with temporal discounting. Analyses based on dynamic programming and Pontryagin’s maximum principle show that the optimal control consists of two phases: (1) in the first phase, the social concern level approaches to the final optimal value y ∗ , (2) in the second phase, resources are allocated to both activities, and the social concern level is kept constant y ( t ) = y ∗ . If the social concern starts from a low initial level, the optimal path includes a period in which the quality of the conservation area declines temporarily, because all the resources are invested to enhance the social concern. When the support rate increases with the quality of the conservation area itself x ( t ) as well as with the level of social concern y ( t ) , both variables may increase simultaneously in the second phase. We discuss the implication of the results to good management of biodiversity conservation areas.
Keywords
Biodiversity conservation area , Environmental education , Social concern , Pontryagin’s maximum principle , Dynamic programming
Journal title
Theoretical Population Biology
Serial Year
2012
Journal title
Theoretical Population Biology
Record number
1567567
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