/Yang.et.al.The.predictability.of.ecological.stability.in.a.noisy.world

R codes and data for Yang et al. 2019. Nature Ecology & Evolution.

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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 qiang.yang@uni-konstanz.de

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