2018
DOI: 10.1080/14486563.2017.1417167
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Evaluating the potential for transboundary management of marine biodiversity in the Western Indian Ocean

Abstract: The economic and socio-political interactions between countries can have major impacts on transboundary conservation decisions and outcomes. Here, we examined for 14 Western Indian Ocean (WIO) continental and island nations the extent of their marine coral reef species, fisheries and marine protected areas (MPAs), in the context of their geopolitical and socio-economic connections. We also examined the role of external countries and organisations in collaboration within the region. We found large variation bet… Show more

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Cited by 29 publications
(19 citation statements)
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“…Consequently, these reef areas are priorities for protections intended to resolve local and international fisheries conflicts (Levin et al. ; McClanahan & Abunge ). The most sampling took place in southern Kenya, Northern Tanzania, and Pemba (Zanzibar) Island at the boundaries of these 3 nations.…”
Section: Methodsmentioning
confidence: 99%
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“…Consequently, these reef areas are priorities for protections intended to resolve local and international fisheries conflicts (Levin et al. ; McClanahan & Abunge ). The most sampling took place in southern Kenya, Northern Tanzania, and Pemba (Zanzibar) Island at the boundaries of these 3 nations.…”
Section: Methodsmentioning
confidence: 99%
“…These marine areas have been identified as having coral reefs with high diversity and potential for climate refugia (Ateweberhan & McClanahan 2016). Consequently, these reef areas are priorities for protections intended to resolve local and international fisheries conflicts (Levin et al 2018;McClanahan & Abunge 2018). The most sampling took place in southern Kenya, Northern Tanzania, and Pemba (Zanzibar) Island at the boundaries of these 3 nations.…”
Section: Sites and Experimental Designmentioning
confidence: 99%
“…E was included because new management activities are likely to be more feasible in areas where current management practices are successful. C represents the potential for collaboration between countries, and was calculated by normalizing country-level collaboration scores from Levin et al (2018) between 0 and 100 using a fuzzy logic linearly decreasing membership function and spatially assign ing these country scores to planning units. These collaboration scores were derived using linkages between nations based on biodiversity (number of shared species), trade (import/export value be tween countries), governance (number of shared environmental agreements), and spatial location (geographic relationship) (Levin et al 2018).…”
Section: Management Feasibility Objectivementioning
confidence: 99%
“…C represents the potential for collaboration between countries, and was calculated by normalizing country-level collaboration scores from Levin et al (2018) between 0 and 100 using a fuzzy logic linearly decreasing membership function and spatially assign ing these country scores to planning units. These collaboration scores were derived using linkages between nations based on biodiversity (number of shared species), trade (import/export value be tween countries), governance (number of shared environmental agreements), and spatial location (geographic relationship) (Levin et al 2018). We used Thiessen polygons (Thiessen 1911) to determine the nearest ex clusive economic zone (EEZ) boundary for each planning unit, and assigned planning units the collaboration score for the 2 countries that share boundaries ( Fig.…”
Section: Management Feasibility Objectivementioning
confidence: 99%
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