Scripts and data for: Integrating different facets of diversity into food web models: how adaptation among and within functional groups shape ecosystem functioning

Adaptation of communities to environmental fluctuations can emerge from different facets of biodiversity,  which may impact ecosystem functioning differently. Previous work examined how ecosystem functions can be influenced by two sources of adaptive potential: sorting (i.e., changes in community composition due to fitness differences) can occur when multiple species or groups are present (richness), and trait adaptability (i.e., trait adjustments within species or functional groups) can emerge from genetic or phenotypic diversity. However, their effect is typically studied separately, and often in the context of only one trophic level. Therefore, we used a bitrophic trait-based model varying in richness and in the presence of trait adaptability at each trophic level, to investigate how sorting and trait adaptability, at one or two trophic levels, separately or jointly shape ecosystem functions. We found that the adaptive potential emerging from any facet of diversity-induced changes in..., The datasets were generated and not collected in the field and the laboratory. We briefly summarise the methods used, which are extensively explained in the associated Oikos article. We solved numerically the ordinary differential equations of an an extended Rosenzweig-MacArthur predator-prey model in C using the SUNDIALS CVODE solver 5.7.0}. Then, we used several packages in Python 3.10 among which NumPy, Pandas, and Matplotlib to analyse the biomass and trait dynamics, and to quantify ecosystem functions. We notably compared the temporal means and variation (coefficient of variation) of ecosystem functions and properties (e.g. total biomass, production, biomass-weighted mean trait, synchrony of prey and predators, and the ratio between prey losses due to predation and the sum of prey losses due to competition and predation) of food webs with different sources of adaptive potential., , # Scripts and data for: Integrating different facets of diversity into food web models: how adaptation among and within functional groups shape ecosystem functioning

[https://doi.org/10.5061/dryad.ttdz08m4x](https://doi.org/10.5061/dryad.ttdz08m4x)

Note that biomasses are expressed in mg C m-3 and traits are unitless.

## Tasks performed by the python and C scripts

### Generating time series and computing ecosystem functions and properties

To generate biomass and trait time series of a particular food web, we executed the file get_timeseries_ecosystem_functions.py. This Python script performed several tasks: (a) setting the parametrisation of the model, (b) calling and executing the file get_timeseries_ecosystem_functions (produced by compiling get_timeseries_ecosystem_functions.c; cf details later), which solved the model's equations and generated the biomass and trait time series by using the parametrisation defined in python, and (c) computing the temporal means and the coefficie...