Adapting environmental function analysis for management of protected areas in small islands--case of Pico Island (the Azores).

Protected areas (PAs) are considered key priorities for ensuring long-term sustainability of small islands. The traditional approach of conservation versus development is currently being replaced by an approach of "win-win" relationships. During the last decades PAs have been increasingly requested to simultaneously ensure biodiversity conservation, mainstream ecosystem services into main development policies, and accounting for leisure-related revenues to sustain local and regional economies. Following this new paradigm, the Smartparks project (Planning and Management System for Small Islands Protected Areas), encompassing this study, aimed at an innovative approach for supporting the management of PAs in small islands. In this study, we propose a methodology based on Environmental Functional Analyses (EFA) to compare the potential for conservation and the potential for use of PAs that can be used not only on small islands but also in other territories. For this purpose, a set of environmental and socio-economic components was defined and selected indicators describing each component to calculate conservation and use/development functions of PAs were established. Pico Island, in the Azores archipelago (Portugal), was selected as the case study for testing the methodology. The EFA for all PAs of Pico Island was performed identifying those with more potential for conservation or for development of human activities, and also those with high levels of conflict. A total of 34 indicators was applied (assigning a value from 1 to 3) to the 22 PAs composing the INP of Pico Island: 44% were scored with a value of 1, in both ecological and social components; 22% and 29% were scored 3 in ecological and social components respectively. Social indicators were generally considered less important than environmental ones. In general, PAs presented higher values for conservation. The results further show that the potential for conservation and/or development was consistent with the IUCN category and the objectives assigned to each PA at the time of its classification. However, most PAs are located in the conflict zone of the EFA matrix, revealing a high interaction between PAs conservation objectives and human activities, which brings concern to decision makers and PAs managers. Despite several limitations, the method allowed the performances of PAs to be compared, providing a suitable tool to support rapid assessments and monitoring of PA networks in small islands. The adaptation of the EFA to the PA domain traces a new path for estimating the multiple values of PAs and it may contribute to improve PA management and decision-making. The method could be further included as part of scenario exercise and adaptive management, supporting the prediction of the future evolution of PAs and assessing their potential for conservation in the future throughout the proposed indicators. Thus, the methodology is not exclusive for small islands contexts and, with necessary adaptations and rescaling, it could be a powerful tool in PAs network management worldwide.