Deforestation projections imply range-wide population decline for critically endangered Bornean orangutan
[Display omitted] •We projected future deforestation in Borneo and quantified the impact on orangutans.•The habitat of 26,200 Bornean orangutans could be lost by 2030s.•Worst orangutan losses in forests in industrial plantations and unprotected forests.•Orangutans in protected areas and logging conc...
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Veröffentlicht in: | Perspectives in ecology and conservation 2022-07, Vol.20 (3), p.240-248 |
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Sprache: | eng |
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•We projected future deforestation in Borneo and quantified the impact on orangutans.•The habitat of 26,200 Bornean orangutans could be lost by 2030s.•Worst orangutan losses in forests in industrial plantations and unprotected forests.•Orangutans in protected areas and logging concessions are less threatened.•Land-use planning for biodiversity and development should consider future dynamics.
Assessing where wildlife populations are at risk from future habitat loss is particularly important for land-use planning and avoiding biodiversity declines. Combining projections of future deforestation with species density information provides an improved way to anticipate such declines. Using the critically endangered Bornean orangutan (Pongo pygmaeus) as a case study we applied a spatio-temporally explicit deforestation model to forest loss data from 2001 to 2017 and projected future impacts on orangutans to the 2030s. Our projections point to continued deforestation across the island, amounting to a potential loss of forest habitat for 26,200 orangutans. Populations currently persisting in forests gazetted for industrial timber and oil palm concessions, or unprotected forests outside of concessions, were projected to experience the worst losses within the next 15 years, amounting to 15,400 individuals. Our analysis indicates the importance of protecting orangutan habitat in plantation landscapes, maintaining protected areas and efforts to prevent the conversion of logged forests for the survival of highly vulnerable wildlife. The modeling framework could be expanded to other species with available density or occurrence data. Our findings highlight that species conservation should not only act on the current information, but also anticipate future changes to be effective. |
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ISSN: | 2530-0644 2530-0644 |
DOI: | 10.1016/j.pecon.2022.06.001 |