sghosh89 / temporaltaylorlaw Goto Github PK

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 ([email protected]) 


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 [email protected] 

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.