Trapped in the web: network architectures spread coevolution and shape adaptation

Adaptation is critical for biodiversity to persist under global change. Within ecological communities, species often face trade-offs between adapting to shifting abiotic conditions and navigating the complex selective pressures imposed by interaction networks. We hypothesize that network architectures characterized by high interaction diversity and overlap constrain coevolutionary dynamics, with asymmetric outcomes for exploiters and victims. Specifically, we predict that exploiters, subject to spread and conflicting selection imposed by their victims, will evolve more slowly and show reduced capacity to track victims’ evolutionary responses, with these constraints strongest for generalist exploiters. In contrast, victims will show more variable dynamics depending on the coherence of selection (i.e., whether pressures from different exploiters push the victim’s trait in the same vs. different directions). To test this, we simulated trait evolution in coevolving communities of exploiters..., , # Data from: Trapped in the web: network architectures spread coevolution and shape adaptation

Dataset DOI: [https://doi.org/10.5061/dryad.cfxpnvxmt](https://doi.org/10.5061/dryad.cfxpnvxmt)\
Article publication: 10.1002/oik.12357

---

## Description of the data and file structure

All analyses can be reproduced using the R notebook files (`.Rmd`) provided in this repository. These notebooks implement the full workflow for computing network metrics and running simulations on both empirical and simulated networks.

## Reproducibility notes

* Users do not need to modify these `.R` files to reproduce the analyses.
* All packages and customized functions ( `.R` files) are automatically loaded when running the corresponding `.Rmd` notebooks.
* If file paths are changed, the `source()` calls in the `.Rmd` files may need to be updated accordingly.

### R notebooks

The repository contains the following R Markdown files:

1. `1_metrics_empirical_networks.Rmd`\
Computes network metrics on ..., ,