Satellite-based forest structure metrics as a predictive tool for biodiversity in hyperdiverse tropical forests: A test of the habitat heterogeneity hypothesis in the tropics

Tropical forests hold the most species yet face the greatest threats and knowledge gaps. To improve tropical biodiversity knowledge we combined satellite-based LiDAR with in situ bird, mammal, and acoustic soundscape data, via camera and audio recorders, at the Biological Dynamics of Forest Fragments Project in the Amazon rainforest and tested the habitat heterogeneity-diversity hypothesis as a predictor of alpha diversity in tropical forests. GEDI spaceborne LiDAR was used to assess the predictive power of vertical forest structure on acoustic diversity and species diversity in lowland tropical forests. In 4 months, we detected 201 bird and 35 mammal species representing 80% of known forest bird and 69% of non-flying mammal species at the BDFFP. We also found an increase in acoustic diversity and species diversity at sites with greater diversity in vertical forest structure as measured by the GEDI metric Foliage Height Diversity thus supporting the habitat heterogeneity-diversity hypothesis. The combined satellite based and in situ biodiversity results provide a framework for a systematic method to predict, and then verify, tropical biodiversity at local scales with global application to better inform conservation-based decisions. • Habitat biodiversity heterogeneity hypothesis predicts animal diversity • Combine in situ biodiversity and satellite-based LiDAR for forest structure • Unique scalable pipeline of animal diversity data • Novel environmental indicator of tropical alpha diversity in tropical forests • Method to globally scale-up tropical ecological and conservation biology studies