 |
| Titel |
Sensitivity analysis and calibration of a soil carbon model (SoilGen2) in two contrasting loess forest soils |
| VerfasserIn |
Y. Y. Yu, P. A. Finke, H. B. Wu, Z. T. Guo |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1991-959X
|
| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 6, no. 1 ; Nr. 6, no. 1 (2013-01-08), S.29-44 |
| Datensatznummer |
250017357
|
| Publikation (Nr.) |
 copernicus.org/gmd-6-29-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| To accurately estimate past terrestrial carbon pools is the key to
understanding 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 both past soil carbon pool reconstruction and
future carbon pool prediction. In order to apply it to various environmental
conditions, parameters related to carbon cycle process in SoilGen2 are
calibrated based on six soil pedons from two typical loess deposition regions
(Belgium and China). Sensitivity analysis using the 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 the three 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 and validated for independent soil pedons. The difference of
calibrated parameters between Belgium and China may be attributed to their
different vegetation types and climate conditions. This calibrated model
allows more accurate simulation of carbon change in the whole pedon and has
potential for future modeling of carbon cycle over long timescales. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|