An optimisation approach for designing wildlife corridors with ecological and spatial considerations

The fragmentation of wildlife habitats caused by anthropogenic activities has reduced biodiversity and impaired key ecosystem functions. Wildlife corridors play an important role in linking detached habitats. The optimal design of such corridors considering spatial, ecological and economic factors is addressed in this paper. We present a novel graph-theoretic optimisation approach and a mixed-integer linear programming model to determine an optimal wildlife corridor connecting two given habitat patches. The model maximises the total quality of the corridor and satisfies pre-specified corridor width and length requirements under a resource constraint. Compared to the corridor design models presented in the literature, our model is conceptually simpler, and it is computationally convenient. We applied the model to a real dataset for Eldorado National Forest in California, USA, involving 1,363 irregular land parcels. The model can be extended to design multiple corridors that connect two or more existing habitat patches.

Automated summary

This paper addresses the optimal design of wildlife corridors considering spatial, ecological, and economic factors. A graph-theoretic optimization approach and mixed-integer linear programming model are presented to determine the optimal wildlife corridor connecting two habitat patches. The model maximizes the total quality of the corridor while satisfying pre-specified corridor width and length requirements under a resource constraint. The model is applied to a real dataset for Eldorado National Forest in California, USA, and can be extended to design multiple corridors connecting existing habitat patches.