Combining local ecological knowledge and quantitative forest surveys to select indicator species for forest condition monitoring in central Viet Nam

Abstract

Abstract In tropical central Viet Nam, as part of a forest allocation program, forest condition should be monitored by local stakeholders. If local ecological knowledge can be integrated into the development of indicator species, then improvements in both the rigor of the indicator list and the involvement of local people in the monitoring process may occur. We used a dual methodology to derive two forest condition indicator species lists using trees, based on local ecological knowledge and quantitative forest surveys. Combining these lists allowed us to produce a final list of thirteen ‘probable’ and eight ‘possible’ indicator tree species for forest condition monitoring. Despite some possible limitations to the methodology, we encourage the use of multiple data sets when working with rural communities that are involved in the monitoring process. Local people can propose timely and appropriate measures of forest conservation and improvement, and can definitely integrate indicator species into monitoring community forests.