Make a figure of the beta diversity ($\beta{OS}$ and $\beta{S}$) between local networks and metawebs as a function of the number of sampled local networks. Represent the variability of the samples using vertical error bars or quantiles.
Also, make a figure of a measure of network structure as a function of the number of samples to represent biases in using potential interactions as local interactions. This figure will have two curves: (1) the observed relationship and (2) if the probabilities in local networks were the same as the ones in the metaweb.
See #18 for potential data sources, focusing on Gravel et al. (2019).
Previous idea
Figure of the number of interactions in a metaweb as a function of the number of interactions in its local networks. The number of potential interactions should be the number of links between the species found in the corresponding local network (subnetwork). McLoad et al. (2021) has a similar analysis.
Make a figure of the beta diversity ($\beta{OS}$ and $\beta{S}$) between local networks and metawebs as a function of the number of sampled local networks. Represent the variability of the samples using vertical error bars or quantiles.
Also, make a figure of a measure of network structure as a function of the number of samples to represent biases in using potential interactions as local interactions. This figure will have two curves: (1) the observed relationship and (2) if the probabilities in local networks were the same as the ones in the metaweb.
See #18 for potential data sources, focusing on Gravel et al. (2019).
Previous idea
Figure of the number of interactions in a metaweb as a function of the number of interactions in its local networks. The number of potential interactions should be the number of links between the species found in the corresponding local network (subnetwork). McLoad et al. (2021) has a similar analysis.