Precise estimation of soil organic carbon stocks in the northeast Tibetan Plateau

Scientific Reports
Renmin YangDecheng Li

Abstract

There is a need for accurate estimate of soil organic carbon (SOC) stocks for understanding the role of alpine soils in the global carbon cycle. We tested a method for mapping digitally the continuous distribution of the SOC stock in three dimensions in the northeast of the Tibetan Plateau. The approach integrated the spatial distribution of the mattic epipedon which is a special surface horizon widespread and rich in organic matter in Tibetan grasslands. Prediction models resulted in high prediction accuracy. An average SOC stock in the mattic epipedon was estimated to be 4.99 kg m(-2) in a mean depth of 14 cm. The amounts of SOC in the mattic epipedon, the upper 30 cm and 50 cm accounted for about 21%, 80% and 89%, respectively, of the total SOC stock in the upper 1 m depth. Compared with previous estimates, our approach resulted in more reliable predictions. The mattic epipedon was proven to be an important factor for modelling the realistic distribution of the SOC stock in Tibetan grasslands. Vegetation-related covariates have the most important influence on the distribution of the mattic epipedon and the SOC stock in the alpine grassland soils of northeast Tibetan Plateau.

References

Jun 9, 2005·Journal of Environmental Quality·Anna M L LindahlNicholas J Jarvis
Sep 9, 2005·Nature·Pat H BellamyGuy J D Kirk

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Citations

May 26, 2017·The Science of the Total Environment·Ren-Min YangGan-Lin Zhang
Mar 5, 2020·Environmental Monitoring and Assessment·Thounaojam Thomas MeeteiYumnam Bijilaxmi Devi
Jul 23, 2018·FEMS Microbiology Ecology·Johanna Donhauser, Beat Frey
Apr 25, 2019·Scientific Reports·Nicholas R PattonSusan B Parsons
Sep 6, 2018·The Science of the Total Environment·Yin ZhouYanli Lu
Nov 18, 2021·Environmental Monitoring and Assessment·Mahmood RostaminiaZiba Maghsodi

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Software Mentioned

R
ArcGIS
SAGA GIS
randomForest

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