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Linking soil structure, SHPs, and soc dynamics to study the impact of climate change and land management


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Created: Jan 10, 2023 at 8:46 p.m.
Last updated: Jan 12, 2023 at 4:52 p.m.
DOI: 10.4211/hs.6e4f08d8380a49f99314bae8a7ac41e2
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Sharing Status: Published
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Abstract

This resource includes the Python scripts of the modeling framework, simulation result CSV files, and the figures for the manuscript entitled 'Linking Soil Structure, Hydraulic Properties, and Organic Carbon Dynamics: A Holistic Framework to Study the Impact of Climate Change and Land Management.' results_simulations_constant_porosity.csv file contains the simulation results of the modeling framework at constant porosity. results_simulations_dynamic_porosity.csv file contains the simulation results of the modeling framework at dynamic porosity. model_constant_phi is the python script with the description of the modeling framework at a constant porosity that needs to be imported and run along with the simulation constant porosity Jupyter notebook to obtain the simulation results at constant porosity. model_dynamic_phi is the python script describing the modeling framework at a dynamic porosity that needs to be imported and run along with the simulation dynamic porosity notebook to obtain the simulation results at dynamic porosity.

Figure 3 and Figure 4 Jupyter notebooks have the codes for those plots in the manuscript.

To find the updated version of the codes, visit the GitHub link: https://github.com/Achla-Jha/Soil-Structure.git.

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How to Cite

Jha, A. (2023). Linking soil structure, SHPs, and soc dynamics to study the impact of climate change and land management, HydroShare, https://doi.org/10.4211/hs.6e4f08d8380a49f99314bae8a7ac41e2

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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