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Published on: February 15, 2019
Soil pH Modulates the Global Stabilized Soil Organic Carbon
Cuijuan Liao1,2, Mengxiao Yu3, Ying-Ping Wang4
1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Soil pH significantly impacts how mineral-associated organic carbon (MAOC) stabilizes soil organic carbon (SOC). Different soil conditions, like acidity or alkalinity, reveal distinct pathways controlling MAOC formation and SOC persistence.
Area of Science:
- Soil Science
- Biogeochemistry
- Environmental Science
Background:
- Mineral-associated organic carbon (MAOC) is crucial for long-term soil organic carbon (SOC) stabilization, representing over 50% of total SOC.
- Soil pH is a master variable in biogeochemical cycles, yet its large-scale influence on MAOC and SOC remains poorly understood.
Purpose of the Study:
- To investigate the influence of soil pH on MAOC and SOC dynamics across continental and global scales.
- To identify the key environmental factors regulating MAOC formation under varying pH conditions.
Main Methods:
- Conducted a continental-scale survey in China and synthesized 1300 global observations from existing literature.
- Analyzed relationships between SOC, MAOC, and environmental factors (pH, mineralogy, texture, climate, NPP) across pH gradients.
Main Results:
- Higher SOC content generally correlates positively with MAOC, but this relationship is modulated by soil mineralogy, texture, and climate.
- Distinct pH-dependent pathways control MAOC: Fe/Al (hydr)oxides dominate in acidic soils (pH ≤ 5.5), while clay content and temperature are key in neutral-to-alkaline soils (pH > 6.5).
- Net primary productivity (NPP) can dilute the MAOC fraction by increasing the particulate organic carbon (POC) pool.
Conclusions:
- The universal applicability of clay-centric SOC models is challenged, particularly in acidic soils.
- A conceptual framework integrating pH-dependent metal oxide dynamics is needed for improved SOC persistence predictions in biogeochemical models.
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