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Updated: Jun 1, 2025

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
Published on: January 7, 2019
Assessing biochar's impact on greenhouse gas emissions, microbial biomass, and enzyme activities in agricultural
Jinze Bai1, Bruno Rafael De Almeida Moreira2, Yuxin Bai3
1College of Agronomy, Northwest A&F University, Yangling 712100, Shaanxi, China; The Research Center of Recycle Agricultural Engineering and Technology of Shaanxi Province, Yangling 712100, Shaanxi, China; Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia 4072, QLD, Australia.
Abstract:
The role of biochar in reducing greenhouse gas (GHG) emissions and improving soil health is a topic of extensive research, yet its effects remain debated. Conflicting evidence exists regarding biochar's impact on soil microbial-mediated emissions with respect to different GHGs. This study systematically examines these divergent perspectives, aiming to investigate biochar's influence on GHG emissions and soil health in agricultural soils. The meta-analysis includes 2594 paired observations from 157 studies conducted between 2000 and 2024. It was found that biochar increased the presence of amoA and nosZ genes by 39.4 % and 41.7 %, respectively, while reducing the abundance of the nirS gene by 17.8 %. This led to a 13.1 % decrease in N2O emissions. Nitrous emissions were positively associated with mean annual temperature and biochar's pyrolysis temperature and dosage while inversely related to soil pH, nitrogen fertilisation rate, and biochar pH and carbon content. Biochar also regulated enzyme activity related to the nutrient cycle and increased microbial biomass carbon, nitrogen, and phosphorus by 16.6 %, 23.9 %, and 50.2 %, respectively, leading to changes in microbial community diversity. These changes contributed to a reduction in CO2 and CH4 emissions, particularly when biochar and nitrogen fertiliser were applied at doses below 21.4 t ha-1 and 242.5 kg ha-1, as predicted by machine learning models. This study offers an overview of the positive impact of biochar amendments on soil GHG emissions mitigation. The key predictive factors identified could help optimise biochar production and targeted amendments, potentially improving soil health and achieving carbon neutrality in agroecosystems.
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