Repository for analysis: Temporal turnover in species' ranks can explain variation in Taylor's slope for ecological timeseries

Repository for analysis:
Temporal turnover in species' ranks can explain variation in Taylor's slope for ecological timeseries

Authors: Shyamolina Ghosh (1*), Blake Matthews (2)

Affiliations:

1. Department of Evolutionary Biology and Environmental Studies, University of Zurich; Winterthurerstrasse 190, 8057 Zurich, Switzerland
2. Department of Fish Ecology and Evolution, Eawag, Swiss Federal Institute of Aquatic Science and Technology; Seestrasse 79, Kastanienbaum, 6047 Switzerland

*Corresponding author: Shyamolina Ghosh (ghoshshyamolina89@gmail.com)

About:
This repository records the complete workflow that produced the analysis from the data.
Each folder contains a "README.txt" to guide through the repository. We used the data which are already
publicly available (url: https://doi.org/10.5281/zenodo.8233591).
The core software dependency is R (R Core Team, 2022. R: A language and environment for statistical computing.
R Foundation for Statistical Computing, Vienna, Austria. URL https://www.r-project.org/.).
Codes are written and performed by Ghosh with R version 4.2.1 on a windows 10 laptop. This repository is intended
to record a workflow, and is not designed or tested for distribution and wide use on multiple platforms.
For any reproducibility issue, you may contact S. Ghosh at ghoshshyamolina89@gmail.com

Funding and acknowledgement:

SG was supported by funding from UZH. BM was supported by funding from Eawag, SNF (grant no. 310030-207910), 
and ETH Board (blue-green biodiversity initiative). We would like to thank Dr. Carlos Melian for the helpful 
discussions about Taylor’s law.