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Financial and Economic Analysis of Reduced Impact LoggingAuthor(s): Tom Holmes
Source: In:Tropical Forestry Handbook (2nd edition), L Pancel and M Kohl (editors), Springer: Dordrecht, The Netherlands
Publication Series: Book Chapter
Station: Southern Research Station
PDF: Download Publication (162.0 KB)
DescriptionConcern regarding extensive damage to tropical forests resulting from logging increased dramatically after World War II when mechanized logging systems developed in industrialized countries were deployed in the tropics. As a consequence, tropical foresters began developing logging procedures that were more environmentally benign, and by the 1990s, these practices began to be described as reduced impact logging” (RIL) systems. As scientific evidence accumulated demonstrating that RIL techniques could substantially reduce logging impacts on the residual forest relative to conventional logging (CL), attention turned to understanding the financial conditions under which logging firms would choose to implement RIL. While most studies conducted in Latin America show that RIL is financially competitive or superior to CL, research in Southeast Asia and Africa suggests that economic incentives will likely be required to induce logging firms to adopt RIL. One approach that appears promising to promote better logging practices in the tropics is to offer payments for the incremental carbon retained by RIL systems.
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CitationHolmes, Thomas P. 2016, Financial and economic analysis of reduced impact logging. In:Tropical Forestry Handbook (2nd edition), L Pancel and M Kohl (editors), Springer: Dordrecht, The Netherlands. 15 p.
KeywordsBio-economic models, Carbon payments, Forest damage, Forest resilience, Sustainable tropical forest management
- Financial returns under uncertainty for conventional and reduced-impact logging in permanent production forests of the Brazilian Amazon
- Financial and ecological indicators of reduced impact logging performance in the eastern Amazon
- Financial Indicators of Reduced Impact Logging Performance in Brazil: Case Study Comparisons
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