Lab members involved: Tim Poisot & Dom Gravel
Other people involved: Daniel Stouffer
We assembled a large dataset of 137 binary food webs. For each we counted the frequency of 3-species motifs (community modules). Each food web is simulated using a classical and well parameterized model of food web dynamics, with and without allometric scaling, and the resulting functioning is recorded. We use an ANOVA approach to find out which modules influence functioning, and how.
The main document is in LaTeX
, with figures using pgfplots
and tikz
, which should be installed by default if you use TeXLive
.
Data analysis is done with the xxx.R
script, which requires no additional packages.
The code for the simulations uses the scipy
, numpy
, and networkx
python libraries, and runs under the 2.7 version of python.
The whole project is under version control, please begin each work session by a git pull
and end each work session with a git push
.