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Ecosystem Approach for a better environmental Management of Coastal and Maritime Tourism in the Mediterranean region

Authors: Fosse, Jeremie; Klarwein, Salvador; Kosmas, Ioanna; Gonzalez, Alejandro;

Ecosystem Approach for a better environmental Management of Coastal and Maritime Tourism in the Mediterranean region

Abstract

Coastal and maritime tourism have increasing negative environmental externalities, mainly due to the air, water and waste pollution and the direct and induced land-use change in urban, rural and natural spaces. At the same time this type of activity is highly dependent on the health of natural ecosystems, which provide much of the attractiveness of the Mediterranean region. Focusing on the Mediterranean Sea, this report highlights the opportunities to apply the Ecosystem (based) Approach (EcAp or EBA) for a better environmental management of coastal and marine tourism. This study is part of a global initiative to improve the Governance of Coastal and Marine Tourism around the Regional Seas. This study is an extension of the flagship report Towards a Sustainable Blue Economy published in 2019 that provided an exhaustive assessment of the environmental, social and economic impacts of the Coastal and Maritime tourism around the world.

Keywords

ICZM, EcAp, tourism, blue economy

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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