Towards multidimensional CLEVER biodiversity indicators

Measuring the extent of human-driven impacts on biodiversity is methodologically and practically complex – often, due to the inherent limitations in currently available biodiversity data. CLEVER researchers at the Centre for Remote Sensing (CSR) at the Federal University of Minas Gerais (UFMG) take on the challenge of using advanced modeling techniques to develop  innovative models that estimate current and baseline patterns of biodiversity in CLEVER’s focus regions – South America and Africa. University of Bonn researchers recently visited the CSR in Belo Horizonte to discuss results from these models – as well as potential future uses and applications.

Results thus far suggest that, when comparing differences between baseline models and current biodiversity, there have been major human-driven decreases in both species richness and endemism in southern Brazil’s Atlantic rainforest. Other major decreases in endemism were found particularly along the Patagonia, Africa’s northeastern coast, and the Horn of Africa. Next steps will include technical improvements in the models to improve their predictive capacity and include other dimensions of biodiversity.

We also exchanged ideas and discussed future research questions and applications of the modelled data, including: the analysis of agricultural supply-chains and agri-environmental policies, the pairing of these models with data on land tenure in Brazil, as well as future CLEVER work involving life-cycle analyses and integrated assessment models aiming to estimate biodiversity impacts of different trade-flows.

Written by Andrea Pacheco.

Picture credits: Andrea Pacheco and Britaldo Soares Fliho

Cover photo by josefurlan_pissol/Adobe Stock