This is the repository containing the R codes and data for the following paper: https://doi.org/10.1038/s41559-018-0794-x.

For potential code questions please contact Qiang Yang by [email protected]

Files in this repository include:

1. R.codes.for.Yang.et.al.2019.NEE.html: R codes for reproducing the result and figure of the paper.

2. foodweb.motif.png: the network structure of the food-web modules

3. adjacent_matrix_list.Rdata: the adjacent matrix of the food-web modules

4. mydata_foodweb_set_new_method.Rdata: food-webs constructed

5. all_noise_combinations.Rdata: characteristics of the environmental stochasticity

6. mydata_ALL_NOISE_DATASET.Rdata: time series of generated environmental stochasticity

7. mydata_stability.Rdata: the stability of each food-web under each regime of environmental stochasticity

8. mydata_stability.mean.Rdata: the mean stability value of each food-web under the 50 'replicate' regimes of environmental stochasticity

9. df.mod.Rdata: the main result of the random forest modeling that was used to plot Fig. 5

10. sensitivity.result.species.identity.Rdata: the main result of the sensitivity analysis on the identity of species receiving the perturbation

11. sensitivity.result.time.range.variability.Rdata: the main result of the sensitivity analysis on the simulation time

12. df.stability.0.01.Rdata: the main result of the sensitivity analysis on the magnitude of the environmental stochasticity