COMSTABPY 0.1.2

COMSTABPY is an python package that contains basic functions to apply the unified framework for partitioning the drivers of stability of ecological communities

COMSTABPY is an python package that contains basic functions to apply the unified framework for partitioning the drivers of stability of ecological communities developed in (Segrestin et al. 2024 Global Ecology and Biogeography, 10.1111/geb.13828). Additionally it provides some plotting function. The code is partially based on the original R package comstab, url: https://cran.r-project.org/web/packages/comstab/index.html

INSTALLING

COMSTABPY can be installed via the command line using

pip install COMSTABPY

If you are using conda you can install the enivronment environmentl.yaml, which contains also other packages usefull for data analysis.

conda env create -f environment.yml`
conda activate stab-py

USAGE

Basic examples of package uses are shows in the jupytern notebook docs/example.ipynb

** IMPORTANT ** If arrays or lists have to be provided to package functions please use numpy arrays

AKNOWLDEGEMENTS

This work was partly supported by the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender No. 3138 of 16 December 2021, rectified by Decree n.3175 of 18 December 2021 of Italian Ministry of University and Research funded by the European Union – NextGenerationEU.

##Change Log ** 0.0.1 (Sep 03, 2024) **

• First Release

** 0.0.2 (Sep 04, 2024) ** Added more documentation

** 0.0.3 (Sep 09, 2024) ** Added ny parameter to partition function Changed order of corners in the ternary plot function Added funding

** 0.0.4 (Sep 19, 2024) ** Added the possibility to chose yticks and ylims in plotCV function

** 0.05 (Sep 19, 2024) ** Code cleaning

** 0.06 (Sep 30, 2024) ** Added eveness function (normalized Shannon Entropy)

** 0.07 (Sep 30, 2024) ** Code cleaning

** 0.08 (Sep 30, 2024) ** Code cleaning

** 0.09 (Sep 30, 2024) ** Fixed bug in eveness function

** 0.10 (Sep 30, 2024) ** Fixed bug in eveness function

** 0.11 (Sep 30, 2024) ** Increased the dimensionality fo the output of eveness function

** 0.12 (Nov 26, 2024) ** Added the possibility to compute asynchrony and averaging if the Taylor law is not significant'