Abstract
The Program for Biodiversity Research (PPBio) is an innovative program designed to integrate all biodiversity research stakeholders. Operating since 2004, it has installed long-term ecological research sites throughout Brazil and its logic has been applied in some other southern-hemisphere countries. The program supports all aspects of research necessary to understand biodiversity and the processes that affect it. There are presently 161 sampling sites (see some of them at Supplementary Appendix), most of which use a standardized methodology that allows comparisons across biomes and through time. To date, there are about 1200 publications associated with PPBio that cover topics ranging from natural history to genetics and species distributions. Most of the field data and metadata are available through PPBio web sites or DataONE. Metadata is available for researchers that intend to explore the different faces of Brazilian biodiversity spatio-temporal variation, as well as for managers intending to improve conservation strategies. The Program also fostered, directly and indirectly, local technical capacity building, and supported the training of hundreds of undergraduate and graduate students. The main challenge is maintaining the long-term funding necessary to understand biodiversity patterns and processes under pressure from global environmental changes.
Highlights
Tropical ecosystems hold more than twothirds of the world’s biodiversity (Raven 1988), maintaining ecological functions and services needed for human health and global environmental quality (Kilpatrick et al 2017)
We present the history, structure and main results of the PPBio and perspectives of in-situ biodiversity monitoring
PPBio has evolved into the current structure, integrating more and more researchers in Brazil and other countries
Summary
Tropical ecosystems hold more than twothirds of the world’s biodiversity (Raven 1988), maintaining ecological functions and services needed for human health and global environmental quality (Kilpatrick et al 2017).
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