Multi‐criteria systematic conservation planning for terrestrial vertebrates in a biodiversity hotspot in Mexico

Abstract

AbstractAnthropogenic loss of biodiversity continues to increase worldwide, and existing conservation area networks (CANs) are inadequate for its adequate representation and persistence. To identify a set of new nominal conservation areas in Oaxaca, a Mesoamerican biodiversity hotspot in Mexico, for terrestrial vertebrate species, we used a multi‐criteria systematic conservation planning approach. Besides minimizing the area incorporated into the nominal CAN, we incorporated 25 socioeconomic variables using multi‐attribute value theory. We constructed a portfolio of nominal CAN solutions for four different scenarios all of which satisfied a 10% representation target for the modeled suitable habitat of each vertebrate species: (1) existing protected area‐based (PA) solution; (2) voluntary conservation area‐based (VCA) solution; (3) PA‐VCA solution; and (4) R‐C solution (rarity‐complementary algorithm). The PA‐VCA and PA solutions were the most expensive in terms of area that had to be included in the nominal CANs (13,352 km2 and 12,587 km2, respectively). In all our multi‐criteria analyses, highest costs were associated with maximizing the number of airports, amount of tourism, and length of available highways in a nominal CAN. We have thus established a portfolio of multi‐criteria solutions to the problem of creating an adequate CAN for the representation of terrestrial vertebrate species.