The phylogenetic signal of species co-occurrence in high-diversity shrublands: different patterns for fire-killed and fire-resistant species

Annals of Occupational and Environmental Medicine

Marcel Cardillo¹ 

[1] Centre for Macroevolution and Macroecology, Research School of Biology, Australian National University, Canberra, A.C.T. 0200, Australia

关键词: Southwestern Australia;    Regeneration strategy;    Phylogenetic conservatism;    Phylogenetic community ecology;    Co-occurrence matrix;    Competition;    Coexistence;   

Others  :  1085849
DOI  :  10.1186/1472-6785-12-21

 received in 2012-06-28, accepted in 2012-09-24,  发布年份 2012

【 摘 要 】

Background

Using phylogenies in community ecology is now commonplace, but typically, studies assume and test for a single common phylogenetic signal for all species in a community, at a given scale. A possibility that remains little-explored is that species differing in demographic or ecological attributes, or facing different selective pressures, show different community phylogenetic patterns, even within the same communities. Here I compare community phylogenetic patterns for fire-killed and fire-resistant Banksia species in the fire-prone shrublands of southwest Australia.

Results

Using new Bayesian phylogenies of Banksia, together with ecological trait data and abundance data from 24 field sites, I find that fire regeneration mode influences the phylogenetic and phenotypic signal of species co-occurrence patterns. Fire-killed species (reseeders) show patterns of phylogenetic and phenotypic repulsion consistent with competition-driven niche differentiation, but there are no such patterns for fire-resistant species (resprouters). For pairs of species that differ in fire response, co-occurrence is mediated by environmental filtering based on similarity in edaphic preferences.

Conclusions

These results suggest that it may be simplistic to characterize an entire community by a single structuring process, such as competition or environmental filtering. For this reason, community analyses based on pairwise species co-occurrence patterns may be more informative than those based on whole-community structure metrics.

【 授权许可】

   
2012 Cardillo; licensee BioMed Central Ltd.

【 图 表 】

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