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Towards A Network of Locally Managed Marine Areas (LMMAs) in the Western Indian Ocean

Overview of attention for article published in PLOS ONE, July 2014
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8 news outlets
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11 X users
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Title
Towards A Network of Locally Managed Marine Areas (LMMAs) in the Western Indian Ocean
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0103000
Pubmed ID
Authors

Steve Rocliffe, Shawn Peabody, Melita Samoilys, Julie P. Hawkins

Abstract

In the Western Indian Ocean (WIO), local communities are increasingly assuming responsibility for inshore marine resources either on their own or through collaborative management arrangements with governments or non-state actors. In this paper, we trace the evolution and expansion of community management in the WIO and present the first ever inventory and assessment of the region's locally managed marine areas (LMMAs). We compare the key attributes of these areas to those under government stewardship and assess their relative contributions to progress towards the Convention on Biodiversity (CBD) target of 10% of marine and coastal ecological regions to be effectively conserved by 2020. We also explore the legal frameworks that underpin locally managed marine initiatives in Kenya, Madagascar, Mozambique and Tanzania to assess the potential for future expansion. A principal finding is that whilst LMMAs protect more than 11,000 square kilometres of marine resource in the WIO, they are hampered by underdeveloped local and national legal structures and enforcement mechanisms. In our recommendations to improve local management, we suggest establishing a network of LMMA practitioners in the WIO region to share experiences and best practice.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 <1%
Italy 1 <1%
Kenya 1 <1%
Mozambique 1 <1%
Belize 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Madagascar 1 <1%
Unknown 290 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 71 24%
Student > Ph. D. Student 50 17%
Researcher 47 16%
Student > Bachelor 24 8%
Other 22 7%
Other 30 10%
Unknown 55 18%
Readers by discipline Count As %
Environmental Science 106 35%
Agricultural and Biological Sciences 66 22%
Social Sciences 25 8%
Earth and Planetary Sciences 11 4%
Biochemistry, Genetics and Molecular Biology 8 3%
Other 14 5%
Unknown 69 23%