Skip to content

atredennick/community_synchrony

Repository files navigation

community_synchrony

Build Status

This is a 'read me' file for data and code associated with "Environmental responses, not species interactions, determine synchrony of dominant species in semiarid grasslands" by Andrew T. Tredennick, Claire de Mazancourt, Michel Loreau, and Peter B. Adler (to appear in Ecology, doi).

Paper abstract

Temporal asynchrony among species helps diversity to stabilize ecosystem functioning, but identifying the mechanisms that determine synchrony remains a challenge. Here, we refine and test theory showing that synchrony depends on three factors: species responses to environmental variation, interspecific inter- actions, and demographic stochasticity. We then conduct simulation experiments with empirical population models to quantify the relative influence of these factors on the synchrony of dominant species in five semiarid grasslands. We found that the average synchrony of per capita growth rates, which can range from 0 (perfect asynchrony) to 1 (perfect synchrony), was higher when environmental variation was present (0.62) rather than absent (0.43). Removing interspecific interactions and de- mographic stochasticity had small effects on synchrony. For the dominant species in these plant communities, where species interactions and demographic stochasticity have little influence, synchrony reflects the covariance in species responses to the environment.

Funding for this work was provided by the National Science Foundation through a Postdoctoral Research Fellowship in Biology to Andrew (DBI-1400370) and a CAREER award to Peter (DEB-1054040).

Send questions to: Andrew Tredennick (atredenn@gmail.com)

About

R project files for synchrony analysis of natural grassland communities.

Resources

Stars

Watchers

Forks

Packages

No packages published