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methane emission factors for rewetted peatlands. Nature Communications Earth and Environment" by Aram Kalhori, Christian Wille, Pia Gottschalk, Zhan Li, Josh Hashemi, Karl Kemper, and Torsten Sachs (https://doi.org/10.1038/s43247-024-01226-9). In the article, the authors estimate the cumulative GHG emissions of a rewetted peatland in Germany using the long-term ecosystem flux measurements. They observe a source-to-sink transition of annual carbon dioxide (CO2) fluxes and decreasing trend of methane (CH4) emissions. 

This software is written in R and MATLAB. Running the codes ([R files and .m files](Code)) and loading the data files ([CSV files and .mat files](Data)) requires the pre-installation of [R and RStudio] (https://posit.co/downloads/) and ([MATLAB]. The RStudio 2022.07.2 Build 576 version has been used for the R scripts. The land cover classification work was performed in QGIS, v.3.16.11-Hannover. Data were analyzed in both MATLAB and R and plots created with R (R Core Development Team 2020) in RStudio®. 

The following external packages are required to be incorporated into the codes in order to run the provided codes:

"zyp" package; "missForest" package;"REddyProc" package and explained in detail in the README.

Files: Codes/Kalhori2023_SenSlopes_fig2.r
"zyp" package, Maintainer David Bronaugh &lt;bronaugh@uvic.ca&gt;
Depends R (&gt;= 2.4.0), Kendall
License: LGPL-2.1
https://CRAN.R-project.org/package=zyp

Files: Codes/Kalhori2023_gapfillingMF_validation_figSI1.r
"missForest" package, Maintainer Daniel J. Stekhoven &lt;stekhoven@stat.math.ethz.ch&gt;
Depends randomForest,foreach,itertools
License: GPL (&gt;= 2)
https://www.r-project.org, https://github.com/stekhoven/missForest

Files: Codes/Kalhori2023_NEEpartitioning.r
"REddyProc" package, Maintainer Thomas Wutzler &lt;twutz@bgc-jena.mpg.de&gt;
Depends R (&gt;= 3.0.0), methods 
Imports Rcpp, dplyr, purrr, rlang, readr, tibble, magrittr, solartime, bigleaf (&gt;= 0.7)
License: GPL (&gt;= 2)
https://cran.r-project.org/web/packages/REddyProc/index.html


Data are provided as .shp, CSV or text files. The MATLAB scripts for footprint calculation and the R scripts used for gapfilling (missForest) and flux partitioning (REddyProc) are also included.The full description of the data and methods is provided in the manuscript.</gco:CharacterString>
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