AUTHOR=Willaert Tom , García-Alegre Ana , Queiroga Henrique , Cunha-e-Sá Maria A. , Lillebø Ana Isabel TITLE=Measuring Vulnerability of Marine and Coastal Habitats’ Potential to Deliver Ecosystem Services: Complex Atlantic Region as Case Study JOURNAL=Frontiers in Marine Science VOLUME=6 YEAR=2019 URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2019.00199 DOI=10.3389/fmars.2019.00199 ISSN=2296-7745 ABSTRACT=

The main objective of this work is to promote Ecosystem Based Management (EBM), using a complex Atlantic region, to demonstrate how the InVEST model tool and associated methods can be applied to calculate benthic habitats cumulative risk and to create a vulnerability index of the potential of these habitats to deliver ecosystem services (ES). The study area, in the Western-Atlantic coast of Portugal, includes the Nazaré Canyon (>3,000 m depth within the study region), Óbidos Lagoon (transitional waters), São Martinho do Porto bay (marine inlet), and Berlengas Archipelago (UNESCO world biosphere reserve). The ES delivered by this complex coastal region supports the main regional/local socio-economic activities (e.g., fisheries and tourism activities). The approach combined the InVEST habitat risk assessment tool with the identified ES to create a proxy for the habitats’ vulnerability to deliver ES. Within the region 28 marine benthic habitats were identified and combined with 12 classes of ES (Common International Classification of ES), and two prospective scenarios were analyzed (a potential socio-economic scenario for 2025 and a climate change scenario for the end of the century). The results show that the applied vulnerability approach enables the combination of information from different sources, including local knowledge, and the translation of the generated information into 2D spatial explicit maps that can support strategic management options, namely in the context of maritime spatial planning and “Blue Growth.” The interpretation of the habitat vulnerability approach requires the consideration of data spatial resolution, its quality, and the impact of associated pressures. However, despite the limitations and assumptions (e.g., all ES classes are equally important), models such as this have opened new avenues contributing to improve EBM, by combining spatial explicit GIS tools with supply and demand of marine ES, human activities, and their related positive and negative impacts.