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Integrating larvae connectivity model optimum and reserve size on Marine Protected Area design case study at Sawai Bay, Central Maluku District

Firmansyah, F, Estradivari, E, Handayani, CN, Krueck, N ORCID: 0000-0003-2090-1423, Mustofa, A and Daniel, D 2018 , 'Integrating larvae connectivity model optimum and reserve size on Marine Protected Area design case study at Sawai Bay, Central Maluku District' , Majalah Ilmiah Globe, vol. 20, no. 2 , pp. 107-116 , doi: 10.24895/MIG.2018.20-2.835.

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Abstract

Marxan is one of the popular tools to design marine protected area (MPA), commonly used by the get it is not able to answer where the priority areas for conferration in related to the characteristic of dispersal larvae and the optimum size of the core zone (no- take zone). Sawai Bay MPA case study integrated marxan with two new tools, MPA Placement Optimization Processing tool and MPA size optimization tool. These tools accommodate the objection of MPA development by identifying larvae connectivity dispersal characteristic and optimum size of no-take zone which could beneficial to fisheries. Sawai Bay is an important area in Maluku Province which is prioritized to be an MPA due to its larvae retention characteristic crucial for marine biodiversity conservation. This proposal is in line with local government’s plan which has allocated this area for marine conservation. The proposal for Sawai Bay MPA boundaries is detailed with five no-take zones (reserve) recommendation with size of 3- 4 km, acquired through consideration of the home ranges of 138 fish species encountered in Teluk Sawai area.

Item Type: Article
Authors/Creators:Firmansyah, F and Estradivari, E and Handayani, CN and Krueck, N and Mustofa, A and Daniel, D
Keywords: marine reserve network, marine protected areas, MPAs, MPA design, biodiversity conservation, marine conservation, conservation planning, environmental decision science, fisheries management
Journal or Publication Title: Majalah Ilmiah Globe
Publisher: Geospatial Information Agency
ISSN: 1411-0512
DOI / ID Number: 10.24895/MIG.2018.20-2.835
Copyright Information:

Copyright 2018 Geospatial Information Agency

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