Plant communities in tropical ancient mountains: how are they spatially and evolutionary structured?

Author:

de Mattos Jacqueline S1ORCID,Morellato Leonor Patrícia C2ORCID,Batalha Marco Antonio1

Affiliation:

1. Department of Botany, Federal University of São Carlos, São Carlos, Brazil

2. Department of Biodiversity, São Paulo State University–UNESP, Avenue, Rio Claro, Brazil

Abstract

Abstract The integration of phylogenetic methods and species distribution can really help in the investigation of biogeographic patterns and to fill gaps in evolutionary ecology. Here we investigated how the vascular flora of the Brazilian ancient Cipó Mountains, an alleged OCBIL (old, climatic buffered infertile landscape) with a high diversity of species and endemism, evolved across that harsh archipelago-like system and altitudinal gradient. We used a node-based analysis of species distributions that follows the concepts of over- and underrepresentation and takes into account the relationship between sister clades, to yield two very statistically tractable metrics: the geographical node divergence and specific over-representation score. We collected and identified plant species along an elevational gradient ranging from 800 to 1400 m a.s.l. We also collected environmental variables such as elevation and soil properties. We found three allopatric nodes, which revealed the major biogeographic shifts in this tropical mountaintop vegetation. We found evidence to support the idea that environmental filtering is significantly shaping the distribution of biological communities and is restraining clades in the phylogeny. We argue that our study offers new insights into the biogeographic history and distributional shifts of the ancient rocky grasslands flora and to mountaintop vegetation systems in general.

Funder

São Paulo Research Foundation

Fapesp-Microsoft Research Institute

Fapesp-Vale

National Council for Scientific and Technological Development

CNPq

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics

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