Data and code from: Network theory predicts ecosystem robustness across environmental conditions

Network theory quantifies how changes in species richness, S, lead to changes in the number of interactions (or links) between species, L. Networks with a steep relationship between L and S have a high number of links per species, making the network resistant to collapse and therefore more robust. However, changes in S often coincide with environmental shifts, which can lead to impacts on L that are not expected from network theory. In this paper, we constructed relationships between L and S for 18 ecosystems using 1081 observations collected across 420 environmental conditions. We found that environmental noise (unspecified spatiotemporal variation) and environmental gradients (directional environmental change) commonly affected ecological network size (S and L), community composition, and also induced network rewiring, which means that species changed interaction partners as the environment changed. Yet, we found the log(L) ~ log(S) relationship to be remarkably constant across enviro..., We searched the literature to collect ecological network datasets with at least eight observations per ecosystem (to allow for meaningful linear regressions), ensuring that these datasets were based on field observations rather than simulations. Network observations were coded as undirected adjacency matrices, where 0 and 1 indicated the absence or presence of an interaction, respectively. For each network observation, we recorded the number of species (S), the number of interactions (or links, L), and the composition of observed species and links. In cases where organisms were not identified at the species level, the term \"species\" referred to taxa., , # Data and code from: Network theory predicts ecosystem robustness across environmental conditions

Title: Network theory predicts ecosystem robustness across environmental conditions
Authors: Germain Agazzi, Camille Carpentier, Olivia Bleeckx, and Frédérik De Laender
Contact: [[e-mail]](mailto:[e-mail]) or [[e-mail]](mailto:[e-mail])

### Introduction

In this paper, we reused datasets from previously published papers in the literature. The zip file \"Datasets_NetworkPredictRobustnessEnvironmentalConditions\" contains these datasets, which have been transformed from their original to fit to the format used in this study. All of these datasets are described in more detail in their original publications (references are in the following text).

The \"dataset\" section summarizes them, and the \"code\" section explains the code.

### Dataset

All datasets contain common columns:

* A and B: names of the two interacting species (some...,