An alternative approach to reduce algorithm‐derived biases in monitoring soil organic carbon changes

An alternative approach to reduce algorithm‐derived biases in monitoring soil organic carbon changes

Abstract Quantifying soil organic carbon (SOC) changes is a fundamental issue in ecology and sustainable agriculture. However, the algorithm‐derived biases in comparing SOC status have not been fully addressed. Although the methods based on equivalent soil mass (ESM) and mineral‐matter mass (EMMM) r...

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Bibliographic Details
Main Authors: Weixin Zhang, Yuanqi Chen, Leilei Shi, Xiaoli Wang, Yongwen Liu, Rong Mao, Xingquan Rao, Yongbiao Lin, Yuanhu Shao, Xiaobo Li, Cancan Zhao, Shengjie Liu, Shilong Piao, Weixing Zhu, Xiaoming Zou, Shenglei Fu
Format: Article
Language:English
Published: Wiley 2019-07-01
Series:Ecology and Evolution
Subjects:
algorithm‐derived biases
basal mineral‐matter reference systems
equivalent mineral‐matter volume
reference systems
SOC comparability
soil organic carbon
Online Access:https://doi.org/10.1002/ece3.5308

Internet

https://doi.org/10.1002/ece3.5308

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