Code for the manuscript under revision "Adaptive Foraging of Pollinators Fosters Gradual Tipping under Resource Competition and Rapid Environmental Change" authored by Sjoerd Terpstra, Flávia M.D. Marquitti & Vítor V. Vasconcelos.
The Python environment is specified in environment.yml
.
Install the virtual environment using conda env create
.
Then, activate the environment using conda activate pollcomm
.
The environment can be deactivated using conda deactivate
.
The graphs of the manuscript can be reproduced by the functions defined in ms.py
.
The graphs of the sensitivity analysis in the Supporting Information can be reproduced by the functions defined in sa.py
.
The model is implemented in the pollcomm
module. The two models are adaptive_model.py
(with adaptive foraging)
and base_model.py
(no adaptive foraging) which are both described in the manuscript.