Disentangling non-random structure from random placement when estimating β-diversity through space or time

R Code and figures to accompany the manuscript by authors: Daniel J. McGlinn, Shane A. Blowes, Brian McGill, Thore Engel, Inês S. Martins, Hideyasu Shimadzu, Nicholas J. Gotelli, Anne Magurran, Maria Dornelas, Jonathan M. Chase

The R code for the simulations and case study was created by Shane A. Blowes and edited by Daniel McGlinn.

This code uses the R package mobr v3.0.1.

Workflow

Figure 3

Rscript('./scripts/non-spatial-vs-spatial-beta-diversity.R')

Figure 4

Rscript('./scripts/bateman-beta-concept-perennial-spring-spatiotemporal-beta.R')

Figure 5

Rscript('./scripts/bateman-beta-concept-perennial-spring-spatial-beta.R')

Figure 6

Rscript('bateman-beta-concept-perennial-spring-temporal-beta.R')

Figure 7

Rscript('bateman-beta-concept-perennial-spring-contrast-beta.R')

Data Source

Warren, P.S., S.B. Lerman, H. Bateman, M. Katti, and E. Shochat. 2023. Point-count bird censusing: long-term monitoring of bird abundance and diversity in central Arizona-Phoenix, ongoing since 2000 ver 22. Environmental Data Initiative. https://doi.org/10.6073/pasta/cfb2ea74d8f4f5bddb2061b8e54b8bf3 (Accessed 2022-10-03).

We only provide the data here for the purposes of manuscript reproducibility and not for data reuse.