4.6 Article

Trade-offs and efficiencies in optimal budget-constrained multispecies corridor networks

Journal

CONSERVATION BIOLOGY
Volume 31, Issue 1, Pages 192-202

Publisher

WILEY
DOI: 10.1111/cobi.12814

Keywords

Connectivity; conservation planning; cost-effective conservation; economics; optimization; protected areas; threatened species; wildlife corridor

Funding

  1. National Science Foundation (NSF) [CCF-0832782, CCF-1522054, 1059284]
  2. USFS RD
  3. Direct For Computer & Info Scie & Enginr
  4. Division of Computing and Communication Foundations [1522054] Funding Source: National Science Foundation
  5. Division Of Computer and Network Systems
  6. Direct For Computer & Info Scie & Enginr [1059284, 0832782] Funding Source: National Science Foundation

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Conservation biologists recognize that a system of isolated protected areas will be necessary but insufficient to meet biodiversity objectives. Current approaches to connecting core conservation areas through corridors consider optimal corridor placement based on a single optimization goal: commonly, maximizing the movement for a target species across a network of protected areas. We show that designing corridors for single species based on purely ecological criteria leads to extremely expensive linkages that are suboptimal for multispecies connectivity objectives. Similarly, acquiring the least-expensive linkages leads to ecologically poor solutions. We developed algorithms for optimizing corridors for multispecies use given a specific budget. We applied our approach in western Montana to demonstrate how the solutions may be used to evaluate trade-offs in connectivity for 2 species with different habitat requirements, different core areas, and different conservation values under different budgets. We evaluated corridors that were optimal for each species individually and for both species jointly. Incorporating a budget constraint and jointly optimizing for both species resulted in corridors that were close to the individual species movement-potential optima but with substantial cost savings. Our approach produced corridors that were within 14% and 11% of the best possible corridor connectivity for grizzly bears (Ursus arctos) and wolverines (Gulo gulo), respectively, and saved 75% of the cost. Similarly, joint optimization under a combined budget resulted in improved connectivity for both species relative to splitting the budget in 2 to optimize for each species individually. Our results demonstrate economies of scale and complementarities conservation planners can achieve by optimizing corridor designs for financial costs and for multiple species connectivity jointly. We believe that our approach will facilitate corridor conservation by reducing acquisition costs and by allowing derived corridors to more closely reflect conservation priorities.

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