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Sensitivity Analysis and Calibration of a Soil Carbon Model (Soilgen2) in Two Contrasting Loess Forest Soils : Volume 5, Issue 3 (16/07/2012)

By Yu, Y. Y.

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Book Id: WPLBN0004009359
Format Type: PDF Article :
File Size: Pages 33
Reproduction Date: 2015

Title: Sensitivity Analysis and Calibration of a Soil Carbon Model (Soilgen2) in Two Contrasting Loess Forest Soils : Volume 5, Issue 3 (16/07/2012)  
Author: Yu, Y. Y.
Volume: Vol. 5, Issue 3
Language: English
Subject: Science, Geoscientific, Model
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Wu, H. B., Guo, Z. T., Finke, P. A., & Yu, Y. Y. (2012). Sensitivity Analysis and Calibration of a Soil Carbon Model (Soilgen2) in Two Contrasting Loess Forest Soils : Volume 5, Issue 3 (16/07/2012). Retrieved from http://www.ebooklibrary.org/


Description
Description: Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Science, 100029, Beijing, China. To accurately estimate past terrestrial carbon pools is the key to understand the global carbon cycle and its relationship with the climate system. SoilGen2 is a useful tool to obtain aspects of soil properties (including carbon content) by simulating soil formation processes; thus it offers an opportunity for past soil carbon pool reconstruction. In order to apply it to various environmental conditions, parameters related to carbon cycle process in SoilGen2 are calibrated based on 6 soil pedons from two typical loess deposition regions (Belgium and China). Sensitivity analysis using Morris' method shows that decomposition rate of humus (kHUM), fraction of incoming plant material as leaf litter (frecto) and decomposition rate of resistant plant material (kRPM) are 3 most sensitive parameters that would cause the greatest uncertainty in simulated change of soil organic carbon in both regions. According to the principle of minimizing the difference between simulated and measured organic carbon by comparing quality indices, the suited values of kHUM, frecto and kRPM in the model are deduced step by step. The difference of calibrated parameters between Belgium and China may be attributed to their different vegetation types and climate conditions. This calibrated model is improved for better simulation of carbon change in the whole pedon and has potential for future modeling of carbon cycle in paleosols.

Summary
Sensitivity analysis and calibration of a soil carbon model (SoilGen2) in two contrasting loess forest soils

Excerpt
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