Publications by authors named "Hangxin Zhou"
Article Synopsis
- Co-optimizing management practices like fertilizer application, irrigation, and residue management can enhance climate-smart agriculture, despite the challenges posed by complex interactions of climate, crops, and soil over time and space.
- A hybrid approach using agricultural modeling, machine learning, and life cycle assessment was employed to optimize these practices, aiming to improve wheat and maize yields while minimizing greenhouse gas emissions in North China Plain.
- Results show that optimized practices could significantly reduce the need for fertilizers, irrigation, and residues by 16% to 20%, compared to local farming methods, while also leading to substantial reductions in greenhouse gas emissions.
Soil biogeochemical processes may present depth-dependent responses to climate change, due to vertical environmental gradients (e.g., thermal and moisture regimes, and the quantity and quality of soil organic matter) along soil profile.
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