HIGHLIGHTS
The study used a hierarchical characterization approach to create a global pool of biodiversity indicators.
Stakeholders participated in a workshop to select high-performance and rewarding biodiversity indicators using a framework consisting of multi-tiered filters from the pool.
Becasue the selected indicators represent landscape, habitat, and species levels as well as structural, functional, and compositional ecosystem attributes they therefore collectively reflect changes in biodiversity.
The integrated approach ensures a global-local connection and maintains the essence of a participatory approach.
Selected high-performance and rewarding indicators have the potential to contribute to multiple national reporting requirements.
SUMMARY
There is often a striking disconnect between communities that create biodiversity frameworks, set targets, and design monitoring system and those that actually implement them. This study aims to (i) develop an integrated (participatory) approach to contextualize available sets of biodiversity indicators to meet specific stakeholders' needs, and (ii) select high-performance and rewarding indicators for participatory forest biodiversity monitoring systems (PFBMS). We used a hierarchical characterization approach to biodiversity to create a global pool of indicators. Specialists then used a framework consisting of multi-tiered filters to select high performance and rewarding indicators from the pool applicable to PFBMS at province and forest management unit levels in Indonesia. Selected indicators are able to reflect changes taking place at various levels in the ecological hierarchy from landscape, habitat, to species level including complete ecosystem attributes, i.e., structural, functional, and compositional. The integrated approach combines the expert guidance and experience of professionals at province and local levels; ensures global-local connection; and follows the participatory approach.
