Systematic Conservation Planning for Sustainable Land-use Policies:
A Constrained Partitioning Approach to Reserve Selection and Design
Abstract
Faced with natural habitat degradation, fragmentation, and destruction, it is a major challenge for
environmental managers to implement sustainable
land use policies promoting socioeconomic development and natural habitat conservation in a balanced way. Relying on artificial intelligence and
operational research, reserve selection and design
models can be of assistance. This paper introduces
a partitioning approach based on Constraint Programming (CP) for the reserve selection and design problem, dealing with both coverage and complex spatial constraints. Moreover, it introduces the
first CP formulation of the buffer zone constraint,
which can be reused to compose more complex spatial constraints. This approach has been evaluated
in a real-world dataset addressing the problem of
forest fragmentation in New Caledonia, a biodiversity hotspot where managers are gaining interest in
integrating these methods into their decisional processes. Through several scenarios, it showed expressiveness, flexibility, and ability to quickly find
solutions to complex questions