Figure 7
From: Rethinking the complexity and uncertainty of spatial networks applied to forest ecology
The basic characteristics of three types of networks (with individual trees as nodes) estimated on the forested swamp plot FS-1 in Costa Rica (represented by the horizontal blue line). Simulated metrics are generated based on five spatial null models (CSR complete spatial randomness, Mat Matérn process, Tho Thomas process, HC Gibbs hard core process, Str Strauss process) with parameters estimated on the dataset to be comparable. Values of each metric (the average node degree k, the clustering coefficient C, the density D, and the average path length L) are generated by 199 Monte-Carlo simulations. Differences among five models were examined by ANOVA, followed by Tukey multiple comparisons tests (for more details, see Supplementary Table S2). In WCL, the weighted average node degree k was calculated, while values of C, D, and L are consistent with that of CL because edge weights are not used when calculating these metrics.
