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Rerouting a major Indonesian mining road to spare nature and reduce development costs
Author(s) -
Engert Jayden E.,
Ishida F‪rançoise Yoko,
Laurance William F.
Publication year - 2021
Publication title -
conservation science and practice
Language(s) - English
Resource type - Journals
ISSN - 2578-4854
DOI - 10.1111/csp2.521
Subject(s) - forest road , logging , poaching , deforestation (computer science) , illegal logging , spare part , indonesian , coal mining , environmental resource management , environmental science , transport engineering , geography , business , computer science , forestry , coal , engineering , ecology , linguistics , philosophy , marketing , wildlife , archaeology , biology , programming language
Road‐infrastructure projects are expanding rapidly worldwide while penetrating into previously undisturbed forests. In Sumatra, Indonesia, a planned 88‐km‐long mining road for transporting coal would imperil the Harapan Forest, the island's largest surviving tract of lowland rainforest. Such roads often lead to increased forest encroachment and illegal logging, fires, poaching, and mining. To evaluate the potential impact of the proposed road, we first manually mapped all existing roads inside and around the Harapan Forest using remote‐sensing imagery. We then calculated the expected increase in forest loss from three proposed mining‐road routes using a metric based on travel‐time mapping. Finally, we used least‐cost‐path analyses to identify new routes for the road that would minimize forest disruption and road‐construction costs. We found that road density inside and nearby the Harapan Forest is already 3–4 times higher than official data sources indicate. Based on our analyses, each of the three proposed mining‐road routes would lead to 3,000–4,300 ha of additional forest loss from human encroachment plus another 424 ha lost from road construction itself. We propose new routes for the mining road that would result in up to 3,321 ha less forest loss with markedly lower construction costs than any other planned route. We recommend approaches such as ours, using least‐cost‐path analysis, to minimize the environmental and financial costs of major development projects.

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