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Mas allá de “Hotspots”: como priorizar inversiones en biodiversidad en la región Indo‐pacífica
Author(s) -
Dinerstein Eric,
Wikramanayake Eric D.
Publication year - 1993
Publication title -
conservation biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.2
H-Index - 222
eISSN - 1523-1739
pISSN - 0888-8892
DOI - 10.1046/j.1523-1739.1993.07010053.x
Subject(s) - indo pacific , biodiversity , geography , biodiversity hotspot , hotspot (geology) , environmental resource management , ecology , environmental science , biology , geology , geophysics
We present a conservation index based upon the interaction of the size of terrestrial protected areas, remaining forest habitat, deforestation rates, and biological richness to identify conservation potentials, threats, and strategies for 23 Indo‐Pacific countries. This conservation potential/threat index shows that four of the largest and most species‐rich countries—China, Indonesia, India, and Thailand—contain 82% of the region’s large reserves (more than 1000 km 2 ) and 86% of the region’s area designated for protection. The skewed regional distribution and small number of large reserves per country call for the expansion of existing protected areas and, where possible the establishment of new parks and transfrontier reserves. The index indicates high potential for conservation efforts in Papua New Guinea, Laos, Myanmar, New Caledonia, Vanuatu, and the Solomon Islands, which have a high percentage of remaining forested habitats. high species richness, or endemism, but which lack comprehensive protected area systems. The index also predicts that if current rates of deforestation continue, only Brunei, Bhutan, Indonesia, Taiwan, and Malaysia will have adequate proportions of their respective land areas under some form of protection while still maintaining a minimal percentage (20% or more) of forested habitat outside reserves. Based on the regional analysis, we identify priority countries for investment in biodiversity conservation, and we evaluate funding responses earmarked for those countries. We then show how the index can be adapted to different geographical scales using examples from Indonesia, Malaysia, and the Philippines.

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