Original paper
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) reduced biases of the conventional methods based on equivalent soil volume (ESV), they face challenges in ensuring both data comparability and accuracy of SOC...
Paper Details
Title
An alternative approach to reduce algorithm‐derived biases in monitoring soil organic carbon changes
Published Date
May 30, 2019
Journal
Volume
9
Issue
13
Pages
7586 - 7596
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Notes
History