4.7 Article

Which are the most favourable conditions for reducing soil CO2 emissions with no-tillage? Results from a meta-analysis

Journal

Publisher

KEAI PUBLISHING LTD
DOI: 10.1016/j.iswcr.2022.05.003

Keywords

Agricultural soils; Greenhouse gases; Global warming; Net -zero agriculture

Funding

  1. AgriDigit-Agromodelli project - Italian Ministry of Agricultural, Food and Forestry Policies (MIPAAF) [36502]

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No-tillage practices have positive impacts on soil and water conservation, but their effectiveness in reducing soil CO2 emissions from farming is still debated. This study used meta-analytic and machine learning techniques to investigate the effect of no-tillage under different conditions. The findings suggest that long-term experiments in arid environments, clay soils, low organic carbon content, and crop rotations are associated with the highest reduction of CO2 emissions due to no-tillage.
No-tillage practices have a recognised beneficial impact on soil and water conservation while reducing erosion processes and enhancing soil organic matter content. However, scientists continue to debate the effectiveness of no-tillage in reducing soil carbon dioxide (CO2) emissions from farming. Following the same line of inquiry pursued by the authors who reviewed the impact of conservative practices on direct CO2 emissions, we applied meta-analytic and machine learning techniques to unravel the effect of no-tillage under contrasting pedo-environmental conditions and agricultural management. We analysed fifty-six experimental studies investigating direct soil CO2 emissions from no-tillage and conventional tillage practices (102 paired observations), considering pedological (soil texture, soil organic carbon content), environmental (climate type), and management (crop rotation, experiment duration) factors. We estimated the effect of different practices on the daily amount of soil CO2 emissions, and the impact of tillage in the period immediately following the event. The main insights of this study are: (i) the conditions leading to the highest reduction of CO2 emissions due to no-tillage were long-term experi-ments (standardised mean difference (beta) over cap - 0.64) conducted in arid environments (beta) over cap - 0.76) and clay soils ((beta) over cap = 0.81), with low organic carbon content (beta) over cap = 0.79) where crop rotations (beta) over cap = 0.65) were performed; (ii) the same conditions were associated with the lowest absolute CO2 emissions, irrespective of soil management; (iii) the highest contribution to the variability of absolute soil CO2 emissions was associ-ated with soil texture (mean decrease in accuracy of Random Forest models, MDA = 4.57), rotation (MDA = 3.07), experiment duration (MDA = 2.93) and soil organic carbon content (MDA = 2.24), rather than to tillage practices; (iv) soil CO2 emissions almost doubled in the first day after a tillage event, consistently across studies (p = 0.001). This meta-analysis offers quantitative figures on the impact of tillage practices on soil CO2 emissions and releases data for informing policies aimed at promoting climate change mitigation. (c) 2022 International Research and Training Center on Erosion and Sedimentation, China Water and Power Press, and China Institute of Water Resources and Hydropower Research. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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