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  Rewetted Peatland_GHG analysis Code: software packages (R and Matlab) for the calculation of greenhouse gas (GHG) fluxes at a rewetted peatland

Kalhori, A., Wille, C., Gottschalk, P., Li, Z., Hashemi, J., Kemper, K., Sachs, T.(2024): Rewetted Peatland_GHG analysis Code: software packages (R and Matlab) for the calculation of greenhouse gas (GHG) fluxes at a rewetted peatland, Potsdam : GFZ Data Services.
https://doi.org/10.5880/GFZ.1.4.2023.001

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 Creators:
Kalhori, Aram1, Author              
Wille, C.1, Author              
Gottschalk, Pia1, Author              
Li, Zhan1, Author              
Hashemi, Joshua1, Author              
Kemper, Karl1, Author              
Sachs, T.1, Author              
Affiliations:
11.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              

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Free keywords: carbon; dioxide emission; CO2 emission; methane emission; CH4 emission; peatland, wetland; eddy covariance; rewetting; emission factor; mitigation
 Abstract: This publication provides the codes produced for the article "Temporally dynamic carbon dioxide and 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®.

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Language(s): eng - English
 Dates: 20242024
 Publication Status: Finally published
 Pages: -
 Publishing info: Potsdam : GFZ Data Services
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5880/GFZ.1.4.2023.001
GFZPOF: p4 T5 Future Landscapes
 Degree: -

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