Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model
Aim: Our aim was to evaluate the extent to which we can predict and map tree alpha diversity across broad spatial scales either by using climate and remote sensing data or by exploiting spatial autocorrelation patterns.
Location: Tropical rain forest, West Africa and Atlantic Central Africa.
Methods: Alpha diversity estimates were compiled for trees with diameter at breast height ≥ 10 cm in 573 inventory plots. Linear regression (ordinary least squares, OLS) and random forest (...Expand abstract
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