An application of MOP and GP to wildlife management (deer)

Article Abstract:

A model developed for efficient game management uses goal programming (GP) and multi-objective programming (MOP) to study the conflict between commercial interests and endangered animals due to scarcity of land in Southern Spain. MOP tries to solve the simultaneous optimization of all the objectives which are subject to a certain criteria and its analysis shows that the conflict between the ecological and economic objectives is small. GP minimizes the deviation between the targets set and what is actually achieved and lexicographical GP includes stabilization of the animal species. Both models suggest that multi-criteria approaches to such issues are effective.

Dynamic programming

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A profile of recyclers making special trips to recycle

Article Abstract:

The article evaluates the environmental impact of bring, or drop-off, recycling programs in Scotland if recycling participants are required to make special trips to drop-off sites. Research showed that participants who made special trips to recycle created an additional environmental burden, which may be reduced by encouraging special-trip recyclers to establish longer intervals between trips.

Statistical Data Included, Evaluation, Recycling (Waste, etc.), Recycling, Environmental policy research

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Exploring red deer culling strategies using a population-specific calibrated management model

Article Abstract:

Two red deer populations in Scotland are used to test culling rates based on a Bayesian calibration of a wildlife management model. The two samples demonstrate the need to incorporate different variables in management models to maintain stability for dissimilar populations.

Bayesian statistical decision theory, Bayesian analysis, Control, Red deer

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