4.4 Article

Traits, Habitats, and Clades: Identifying Traits of Potential Importance to Environmental Filtering

Journal

AMERICAN NATURALIST
Volume 174, Issue 1, Pages E1-E22

Publisher

UNIV CHICAGO PRESS
DOI: 10.1086/599293

Keywords

community assembly; functional traits; exact binomial test; environmental filtering; pollination mechanisms; dispersal mechanisms

Funding

  1. NIGMS NIH HHS [P50GM071508] Funding Source: Medline

Ask authors/readers for more resources

Environmental filtering is a fundamental process in the ecological assembly of communities. Recently developed phylogenetic tools identify patterns associated with environmental filtering across whole communities. Here we introduce a novel method that allows the detection of traits involved in the environmental filtering of species from specific clades in specific habitat types. Our approach identifies nonindependent trait/habitat/clade (THC) associations and also provides a framework for detecting clearly defined two-way trait/clade, trait/habitat, and clade/habitat associations. The THC method relies on exact binomial tests and differentiates THC associations resulting from a three-way interaction from those that are generated by one or more underlying significant two-way interactions. It can also detect THC associations for which there are no significant two-way associations (trait/habitat, trait/clade, clade/habitat). To illustrate the THC method, we examine plant pollination and dispersal traits from six habitat types in a fragmented Costa Rican landscape. Results suggest that these traits are not widely important for the environmental filtering of most clades in this landscape, but animal dispersal and insect pollination are involved in the filtering of monocots and the Piperaceae in rain forest understory.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available