TY - JOUR
T1 - Soil carbon sequestration potential in global croplands
AU - Padarian, José
AU - Minasny, Budiman
AU - McBratney, Alex
AU - Smith, Pete
N1 - Funding Information:
This project was funded by the ARC Discovery project DP200102542 ‘‘Forecasting soil conditions’’. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Funding Information:
The authors declare there are no competing interests. Budiman Minasny is a member of the GLADSOILMAP research consortium supported by LE STUDIUM Institute for Advanced Research Studies, France.
Publisher Copyright:
© Copyright 2022 Padarian et al.
PY - 2022/7/21
Y1 - 2022/7/21
N2 - Improving the amount of organic carbon in soils is an attractive alternative to partially mitigate climate change. However, the amount of carbon that can be potentially added to the soil is still being debated, and there is a lack of information on additional storage potential on global cropland. Soil organic carbon (SOC) sequestration potential is region-specific and conditioned by climate and management but most global estimates use fixed accumulation rates or time frames. In this study, we model SOC storage potential as a function of climate, land cover and soil. We used 83,416 SOC observations from global databases and developed a quantile regression neural network to quantify the SOC variation within soils with similar environmental characteristics. This allows us to identify similar areas that present higher SOC with the difference representing an additional storage potential. We estimated that the topsoils (0-30 cm) of global croplands (1,410 million hectares) hold 83 Pg C. The additional SOC storage potential in the topsoil of global croplands ranges from 29 to 65 Pg C. These values only equate to three to seven years of global emissions, potentially offsetting 35% of agriculture's 85 Pg historical carbon debt estimate due to conversion from natural ecosystems. As SOC store is temperature-dependent, this potential is likely to reduce by 14% by 2040 due to climate change in a ''business as usual'' scenario. The results of this article can provide a guide to areas of focus for SOC sequestration, and highlight the environmental cost of agriculture.
AB - Improving the amount of organic carbon in soils is an attractive alternative to partially mitigate climate change. However, the amount of carbon that can be potentially added to the soil is still being debated, and there is a lack of information on additional storage potential on global cropland. Soil organic carbon (SOC) sequestration potential is region-specific and conditioned by climate and management but most global estimates use fixed accumulation rates or time frames. In this study, we model SOC storage potential as a function of climate, land cover and soil. We used 83,416 SOC observations from global databases and developed a quantile regression neural network to quantify the SOC variation within soils with similar environmental characteristics. This allows us to identify similar areas that present higher SOC with the difference representing an additional storage potential. We estimated that the topsoils (0-30 cm) of global croplands (1,410 million hectares) hold 83 Pg C. The additional SOC storage potential in the topsoil of global croplands ranges from 29 to 65 Pg C. These values only equate to three to seven years of global emissions, potentially offsetting 35% of agriculture's 85 Pg historical carbon debt estimate due to conversion from natural ecosystems. As SOC store is temperature-dependent, this potential is likely to reduce by 14% by 2040 due to climate change in a ''business as usual'' scenario. The results of this article can provide a guide to areas of focus for SOC sequestration, and highlight the environmental cost of agriculture.
KW - Carbon sequestration
KW - Digital soil mapping
KW - Neural networks
KW - Quantile regression
UR - http://www.scopus.com/inward/record.url?scp=85133922498&partnerID=8YFLogxK
U2 - 10.7717/peerj.13740
DO - 10.7717/peerj.13740
M3 - Article
AN - SCOPUS:85133922498
VL - 10
JO - PeerJ
JF - PeerJ
SN - 2167-8359
M1 - e13740
ER -