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View Code? Open in Web Editor NEWExploring variability in temporal TL slopes
Exploring variability in temporal TL slopes
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.
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