Publicación

The evolutionary assembly of forest communities along environmental gradients: recent diversification or sorting of pre-adapted clades?

Alexander G. Linan · Jonathan A. Myers · Christine E. Edwards · Amy E. Zanne · Stephen A. Smith · Gabriel Arellano · Leslie Cayola · William Farfán-Ríos · A C. · Karina García‐Cabrera
2021 New Phytologist DOI: 10.1111/nph.17674

Resumen

Recent studies have demonstrated that ecological processes that shape community structure and dynamics change along environmental gradients. However, much less is known about how the emergence of the gradients themselves shape the evolution of species that underlie community assembly. In this study, we address how the creation of novel environments leads to community assembly via two nonmutually exclusive processes: immigration and ecological sorting of pre-adapted clades (ISPC), and recent adaptive diversification (RAD). We study these processes in the context of the elevational gradient created by the uplift of the Central Andes. We develop a novel approach and method based on the decomposition of species turnover into within- and among-clade components, where clades correspond to lineages that originated before mountain uplift. Effects of ISPC and RAD can be inferred from how components of turnover change with elevation. We test our approach using data from over 500 Andean forest plots. We found that species turnover between communities at different elevations is dominated by the replacement of clades that originated before the uplift of the Central Andes. Our results suggest that immigration and sorting of clades pre-adapted to montane habitats is the primary mechanism shaping tree communities across elevations.

Autores y colaboradores

Authors

Alexander G. Linan
Jonathan A. Myers
Christine E. Edwards
Amy E. Zanne
Stephen A. Smith
Gabriel Arellano
Leslie Cayola
William Farfán-Ríos
A C.
Karina García‐Cabrera

Palabras clave

Adaptive diversification Andes Community assembly Dispersal Elevational gradient Neotropics Phylogenetics Turnover