A proposal for engagement in MPAs in areas beyond national jurisdiction: The case of Macaronesia.

The Ocean is the largest ecosystem on the planet, supporting millions of people's livelihood. Marine protected areas (MPAs) are key to guarantee Ocean resilience. About 62 % of the Ocean surface coincide with areas 200 miles from coastlines, called areas beyond national jurisdiction (ABNJ). However, MPAs in ABNJ are only 1,18 % of the high seas. Stakeholder involvement is a keystone in the governance process. This is of particular importance in Macaronesia, and the need for compatibility between human activities and conservation, through the synergetic engagement of the local-maritime community. The present paper aims to develop a MPA proposal in the ABNJ context through expert consultation. The proposal was built upon the analysis of the Macaronesia region study case. Results show that there is no integrated international body to fully address the range of problems to be tackled, therefore the option to use the Conference of Parties model seems to be adequate. Considering Macaronesia region specific features, the conclusion is that select local focal points in each archipelago to enhance the local maritime community is essential. Furthermore, it would be necessary to implement Working Groups, rotative between archipelagos, to address different solutions for local conservation practices. Moreover, clear communication is fundamental since the very beginning to guarantee visibility and transparency.

An integrated coastal vulnerability approach to small islands: The Azores case.

Coastal development in small islands needs adapting to climate and ecosystem changes in the Anthropocene era. Understanding variability of coastal vulnerability along the entire coastline informs coastal planning and management at an island-wide scale as some coastal stretches are more appropriate for big-scale development, while others require additional coastal protection and/or ecosystem conservation. To date, few researches focused on developing macro-scale coastal vulnerability index at an island or archipelagic-scale. This paper fills a knowledge gap by developing an integrated coastal vulnerability index (ICVI) for nine small islands in the Azores archipelago. Considering that degree of vulnerability varies according to human-environment traits of each coastal stretch, this paper characterises integrated coastal vulnerability according to three broad attributes, i.e. exposure to external stressors, biophysical features and socioeconomic characteristics. Using field work, semi-quantitative analysis and GIS, ICVI is a simple and relatively quick approach that provides a broad overview of coastal vulnerability in small island context. A set of six accessible and representative parameters was employed as indicators for this vulnerability assessment, i.e. type of cliff; type of beach; coastal defences; exposure to swell/storm waves; outcrop flooded and land-use. The entire coastline of each island was divided into segments according to their geomorphic compartments and subsequently assigned with a relative ICVI value. Each segment was ranked into five classes ranging from very low to very high based on its relative degree of vulnerability. While majority of the coasts are of moderate relative vulnerability in the Azores, vulnerability varies broadly along the coast between low, moderate and high. The ICVI approach serves as a useful decision support tool to facilitate effective planning and management for the Azores small islands and the methodology has the flexibility of being scaled deep by adding more indicators where necessary and available or scaled out to other small islands.

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.