Fair allocation of small-scale finfish mariculture zones in multi-use MPAs using multi criteria evaluation with stakeholder preferences

Abstract

Mariculture zones in MPAs are primarily determined based on cost-effective/environmental criteria and rarely incorporate local community preferences. This study proposed a GIS-based site selection model to solve the conflicting issues in designing mariculture zones to support small-scale finfish farmers in MPAs. The work was undertaken in the Anambas Archipelago MPA to represent a commonly populated small-island MPA in Indonesia and other developing countries. A three-stage site selection model (constraint, site suitability, and stakeholder preference) with various criteria was employed using a modified parameter-specific suitability function (PSSF) with a non-weighted geometric mean. The stakeholder preference was used to counterbalance the dominance of environmental sub-models. The first stage analysis using the constraint sub-model determined that only 10.16% (1199.70 km²) of the total extent of the study area (11,811.77 km²) was categorized as feasible for finfish mariculture. The subsequent site suitability sub-model determined that only 32.3% (387 km²) and 30.1% (361.6 km²) of the feasible areas were classed best for finfish mariculture in dry and wet seasons, respectively. Areas classified as good covered 41.25% (494.9 km²) and 40.1% (481.65 km²) of the total feasible areas in the dry and wet seasons, respectively. The stakeholder preference sub-model had classified 33.21 km² (2.77%) of the feasible area as the best sites that could be allocated as mariculture zones for the local community. The site selection model successfully incorporates multiple site selection parameters, addresses poor data availability and improves fair allocation of mariculture zone in the MPA via two specific approaches. The nature of the geometric mean prevents the allocation of suitable areas in the MPA-specific zones, such as core zones. Second, the stakeholder preference improves the fairness of the mariculture zone allocation due to the incorporation of local fish farmers' preferences. The proposed site selection model could be used to designate mariculture zones in a data-poor MPA environment and facilitate local communities in developing sustainable small-scale finfish mariculture in MPAs.