Predicting communities from functional traits

Marc W Cadotte; Carlos A Arnillas; Stuart W Livingstone; Simone-Louise E Yasui

doi:10.1016/j.tree.2015.07.001

Predicting communities from functional traits

Trends Ecol Evol. 2015 Sep;30(9):510-1. doi: 10.1016/j.tree.2015.07.001. Epub 2015 Jul 17.

Authors

Marc W Cadotte¹, Carlos A Arnillas², Stuart W Livingstone², Simone-Louise E Yasui³

Affiliations

¹ Department of Biological Sciences, University of Toronto-Scarborough, 1265 Military Trail, Toronto, ON, M1C 1A4, Canada; Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks St., Toronto, ON, M5S 3B2, Canada. Electronic address: mcadotte@utsc.utoronto.ca.
² Department of Physical and Environmental Science, University of Toronto-Scarborough, 1265 Military Trail, Toronto, ON, M1C 1A4, Canada.
³ Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks St., Toronto, ON, M5S 3B2, Canada.

PMID: 26190136
DOI: 10.1016/j.tree.2015.07.001

Abstract

Species traits influence where species live and how they interact. While there have been many advances in describing the functional composition and diversity of communities, only recently do researchers have the ability to predict community composition and diversity. This predictive ability can offer fundamental insights into ecosystem resilience and restoration.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biodiversity
Ecosystem*
Models, Biological*
Species Specificity