Abstract
A new model of delayed species loss (extinction debt) within isolated communities is applied to a large data set of terrestrial vertebrate assemblages (n=188) occupying habitat fragments or islands varying greatly in size and age. The model encapsulates previous approaches based on diversity-dependent (DD) extinction rates while allowing for a more flexible treatment of temporal dynamics. Three important results emerge. First, species loss rate slows down with the age of the isolate, a strong and general pattern largely unnoticed so far. Secondly, while being good candidates in the light of previous works, DD models fail to account for this pattern, a result that necessitates a search for other mechanisms. Thirdly, a simple diversity-independent model based on area (converted into population size) and age explains 97% of the variability in species loss rate and appears to be a promising predictive tool to handle extinction debt following habitat loss.
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