Mistaking geography for biology: inferring processes from species distributions

Trends Ecol Evol. 2014 Oct;29(10):572-80. doi: 10.1016/j.tree.2014.08.003. Epub 2014 Aug 26.

Abstract

Over the past few decades, there has been a rapid proliferation of statistical methods that infer evolutionary and ecological processes from data on species distributions. These methods have led to considerable new insights, but they often fail to account for the effects of historical biogeography on present-day species distributions. Because the geography of speciation can lead to patterns of spatial and temporal autocorrelation in the distributions of species within a clade, this can result in misleading inferences about the importance of deterministic processes in generating spatial patterns of biodiversity. In this opinion article, we discuss ways in which patterns of species distributions driven by historical biogeography are often interpreted as evidence of particular evolutionary or ecological processes. We focus on three areas that are especially prone to such misinterpretations: community phylogenetics, environmental niche modelling, and analyses of beta diversity (compositional turnover of biodiversity).

Keywords: biodiversity; biodiversity turnover; biogeography; community phylogenetics; ecological niche modelling; evolutionary ecology; species distribution modelling.

MeSH terms

  • Biodiversity*
  • Biological Evolution*
  • Ecology / methods*
  • Environment
  • Geography
  • Models, Biological*
  • Phylogeography*