Accounting for two-billion tons of stabilized soil carbon

The Science of the Total Environment
C Wade RossXiong Xiong

Abstract

The pedosphere is the largest terrestrial reservoir of organic carbon, yet soil-carbon variability and its representation in Earth system models is a large source of uncertainty for carbon-cycle science and climate projections. Much of this uncertainty is attributed to local and regional-scale variability, and predicting this variation can be challenging if variable selection is based solely on a priori assumptions due to the scale-dependent nature of environmental determinants. Data mining can optimize predictive modeling by allowing machine-learning algorithms to learn from and discover complex patterns in large datasets that may have otherwise gone unnoticed, thus increasing the potential for knowledge discovery. In this analysis, we identify important, regional-scale determinants for top- and subsoil-carbon stabilization in production forestland across the southeastern US. Specifically, we apply recursive feature elimination to a large suite of socio-environmental data to strategically select a parsimonious, yet highly predictive covariate set. This is achieved by recursively considering smaller and smaller covariate sets-or features-by first training the estimator on the full set to obtain feature importance. The least imp...Continue Reading

References

Oct 8, 2011·Nature·Michael W I SchmidtSusan E Trumbore
Jun 4, 2013·The Science of the Total Environment·Christopher Wade RossDavid Brenton Myers
Jul 11, 2014·The Science of the Total Environment·Xiong XiongNicolas B Comerford
Oct 7, 2015·Proceedings of the National Academy of Sciences of the United States of America·Anu Eskelinen, Susan P Harrison
May 18, 2016·Proceedings of the National Academy of Sciences of the United States of America·Jacques RoyJean-François Soussana
Feb 17, 2017·PloS One·Tomislav HenglBas Kempen
Apr 19, 2018·Proceedings of the National Academy of Sciences of the United States of America·Shiping ChenYongfei Bai

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Citations

Aug 14, 2020·The Science of the Total Environment·Jean Michel Moura-BuenoSabine Grunwald

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