Abstract
Dan Wei, Wenya Chen, Yourui Cao, Ahmed I. Abdo, Liujun Xiao, Xiaoqing Cui, Xia Liang, Huiqing Bai
Abstract
Authors
Institutions
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Carbon footprint of synthetic nitrogen under staple crops: a first cradle-to-grave analysis
10.1111/gcb.17277 · 2024
Balancing productivity and climate impact: a framework to assess climate-smart irrigation
10.1029/2025ef006116 · 2025
Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions
10.5194/gmd-18-3799-2025 · 2025
Assessing climate resilience in rice production: measuring the impact of the Millennium Challenge Corporation’s IWRM scheme in the Senegal River valley using remote sensing and machine learning
10.1088/1748-9326/ad52b1 · 2024
Microeconomics of technology adoption
10.1146/annurev.economics.102308.124433 · 2010
Multi-objective optimization of cropping structures and irrigation strategies for sustainable agricultural development in arid regions
10.1016/j.agwat.2025.109909 · 2025
Information transmission in irrigation technology adoption and diffusion: social learning, extension services, and spatial effects
10.1093/ajae/aat054 · 2014
Multi-objective optimization framework for cropping structure based on water-carbon-economy nexus: large-scale case study in Northeast China
10.1016/j.fcr.2026.110367 · 2026
Provenance
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Effects of alternate wetting and drying irrigation on methane and nitrous oxide emissions from rice fields: a meta-analysis
10.1111/gcb.17581 · doi-reference
Multi-objective optimal allocation and spatial distribution of water and land resources in Yellow River Basin irrigated farmland: a government-farmer duality perspective
10.1016/j.jhydrol.2025.134070 · doi-reference
Co-benefits for cropland yield, nitrogen emissions, and climate impact through multi-objective optimization agricultural manure solutions
10.1038/s41467-025-61885-w · doi-reference
Sustainable irrigation and climate feedbacks
10.1038/s43016-023-00821-x · doi-reference
Dynamic multi-objective optimization of rice irrigation integrating crop growth and water cycle dynamics: promoting synergies in water conservation, production enhancement, and emission reduction
10.1016/j.eti.2025.104241 · doi-reference
A multi-objective optimization approach to simultaneously halve water consumption, CH4, and N2O emissions while maintaining rice yield
10.1016/j.agrformet.2023.109785 · doi-reference
Balancing rice production and greenhouse gas mitigation: assessing the feasible potential of agricultural practices
10.1016/j.resconrec.2025.108679 · doi-reference
Scaling up water-saving irrigation reduces yield-scaled greenhouse gas emissions by over one-quarter in China’s rice paddies
10.1016/j.agwat.2025.109937 · doi-reference
Influencing factors of farmers’ adoption of pro-environmental agricultural technologies in China: Meta-analysis
10.1016/j.landusepol.2021.105622 · doi-reference
Spatiotemporal co-optimization of agricultural management practices towards climate-smart crop production
10.1038/s43016-023-00891-x · doi-reference
Climate change: strategies for mitigation and adaptation
10.59717/j.xinn-geo.2023.100015 · doi-reference
Rice irrigation water efficiency improvement: an AquaCrop-based optimization modeling approach
10.1016/j.eja.2023.126867 · doi-reference
Which practices co-deliver food security, climate change mitigation and adaptation, and combat land degradation and desertification?
10.1111/gcb.14878 · doi-reference
Greenhouse gas emissions and mitigation in rice agriculture
10.1038/s43017-023-00482-1 · doi-reference
Exploring optimal Paddy-upland rotation systems using a multi-objective genetic algorithm: economic, environmental, and food security performance
10.6090/jarq.24j18 · doi-reference
A new approach for iterative optimization of grid-based regional water resources allocation through coupled water-crop system feedback dynamics
10.1016/j.eja.2025.127775 · doi-reference
Managing agricultural water and land resources with tradeoff between economic, environmental, and social considerations: a multi-objective non-linear optimization model under uncertainty
10.1016/j.agsy.2019.102685 · doi-reference
A multi-objective approach to water and nutrient efficiency for sustainable agricultural intensification
10.1016/j.agsy.2019.03.014 · doi-reference
Climate impacts on global agriculture emerge earlier in new generation of climate and crop models
10.1038/s43016-021-00400-y · doi-reference
Multi-objective optimization framework for cropping structure based on water-carbon-economy nexus: large-scale case study in Northeast China
10.1016/j.fcr.2026.110367 · doi-reference
Information transmission in irrigation technology adoption and diffusion: social learning, extension services, and spatial effects
10.1093/ajae/aat054 · doi-reference
Multi-objective optimization of cropping structures and irrigation strategies for sustainable agricultural development in arid regions
10.1016/j.agwat.2025.109909 · doi-reference
Microeconomics of technology adoption
10.1146/annurev.economics.102308.124433 · doi-reference
Assessing climate resilience in rice production: measuring the impact of the Millennium Challenge Corporation’s IWRM scheme in the Senegal River valley using remote sensing and machine learning
10.1088/1748-9326/ad52b1 · doi-reference
A sustainable development pathway for climate action within the UN 2030 agenda
10.1038/s41558-021-01098-3 · doi-reference
Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions
10.5194/gmd-18-3799-2025 · doi-reference
Balancing productivity and climate impact: a framework to assess climate-smart irrigation
10.1029/2025ef006116 · doi-reference
Carbon footprint of synthetic nitrogen under staple crops: a first cradle-to-grave analysis
10.1111/gcb.17277 · doi-reference