Multi-objective optimization framework for cropping structure based on water-carbon-economy nexus: Large-scale case study in Northeast China
文献类型：期刊论文
| 作者 | Hou, Zhenwei3,5; Liu, Yaqun5; Wang, Jieyong5; Manevski, Kiril1,2,4; Zeng, Zhaohai3 |
| 刊名 | FIELD CROPS RESEARCH
 |
| 出版日期 | 2026-04-15 |
| 卷号 | 340页码:110367 |
| 关键词 | Crop production Economic benefits Environmental costs NSGA-III SDGs |
| ISSN号 | 0378-4290 |
| DOI | 10.1016/j.fcr.2026.110367 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Context: Large-scale coordination of crop production, environmental costs, and economic benefits (EB) is necessary to achieve sustainable agricultural development. However, there is lack of knowledge on methodologies satisfying multiple criteria and proposing solutions with low carbon-water footprints and high EB. Objectives: This study aimed to develop an annual crop-specific multi-objective optimization framework to jointly minimize irrigation water requirement (IWR) and maximize net carbon sequestration (NCS) and EB. Methods: The framework coupled Non-dominated Sorting Genetic Algorithm III (NSGA-III) to generate annual Pareto fronts with an entropy-weighted Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) scheme to identify annual best crop allocation plans. The framework was designed with actual data for the Northeast China region over 2000-2020 period. Annual precipitation across the region was fitted with a Pearson-III distribution and classified into dry, normal, and wet years informing scenario-specific irrigation water caps and robustness evaluation via Monte Carlo resampling. Results: With an essentially unchanged regional mean total sown area (2.19 x 107 ha), the framework explicitly proposed changes in cropland and provincial reallocations to achieve the best annual crop allocation plans. Within 20 years total IWR decreased by 5.1 %, total NCS changed marginally (+0.1 %) and remained broadly stable interannually, while median EB increased from 1.5 x 1011-1.6 x 1011 RMB (+5.5 %) with reduced interannual variability. Implications: The study shows truncated EB over two decades when coordinated with IWR and NCS due to realistic constraints. The proposed framework offers a reproducible approach for large-scale resource management strategies through quantifying trade-offs in water-carbon-economy nexus, providing actionable evidence to advance Sustainable Development Goals and enhance regional sustainability under climate variability. |
| URL标识 | 查看原文 |
| WOS关键词 | EMISSIONS ; ALGORITHM ; STRAW |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:001680087400003 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221021]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Liu, Yaqun |
| 作者单位 | 1.Chinese Acad Sci, Inst Earth Environm, Xian 710061, Peoples R China; 2.Univ Chinese Acad Sci, Sino Danish Ctr Educ & Res, Eastern Yanqihu Campus, Beijing 101400, Peoples R China; 3.China Agr Univ, Coll Agron & Biotechnol, State Key Lab Maize Biobreeding, Key Lab Farming Syst,Minist Agr & Rural Affairs C, Beijing 100193, Peoples R China; 4.Aarhus Univ, Dept Agroecol, DK-8830 Tjele, Denmark 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Hou, Zhenwei,Liu, Yaqun,Wang, Jieyong,et al. Multi-objective optimization framework for cropping structure based on water-carbon-economy nexus: Large-scale case study in Northeast China[J]. FIELD CROPS RESEARCH,2026,340:110367. |
| APA | Hou, Zhenwei,Liu, Yaqun,Wang, Jieyong,Manevski, Kiril,&Zeng, Zhaohai.(2026).Multi-objective optimization framework for cropping structure based on water-carbon-economy nexus: Large-scale case study in Northeast China.FIELD CROPS RESEARCH,340,110367. |
| MLA | Hou, Zhenwei,et al."Multi-objective optimization framework for cropping structure based on water-carbon-economy nexus: Large-scale case study in Northeast China".FIELD CROPS RESEARCH 340(2026):110367. |
入库方式： OAI收割
来源：地理科学与资源研究所
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