Revealing Heterogeneous Trade-Offs and Synergies of Food-Carbon-Water Nexus for Sustainable Agricultural Development in Northeast China
文献类型：期刊论文
| 作者 | Hou, Zhenwei1,2,3; Liu, Yaqun2,3; Li, Sijia2; Zhu, Bingxue2; Lu, Changhe3,4; Zeng, Zhaohai1 |
| 刊名 | AGRONOMY-BASEL
 |
| 出版日期 | 2026-02-12 |
| 卷号 | 16期号:4页码:437 |
| 关键词 | food-carbon-water nexus carbon emissions water use efficiency crop yield coupling coordination degree |
| DOI | 10.3390/agronomy16040437 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Balancing food production, water conservation, and carbon emissions (CEs) is critical in Northeast China (NEC), yet food-carbon-water (FCW) interactions remain poorly quantified at pixel scale. Conceptually, we move beyond administrative-unit nexus assessments by providing a crop-explicit, grid-based FCW diagnosis that identifies where crop-specific bottlenecks emerge and supports zoning-oriented interventions. We fused multi-source datasets with process models to estimate CEs, water use efficiency (WUE), and yield for maize, rice, and soybean at 500 m resolution during 2001-2020 and evaluated synergies/trade-offs based on Sen's slope trends and nexus performance using coupling coordination degree (CCD). Annual mean CE (230.8-37,300 kg CO2-eq ha(-1)), yield (0-10,031 kg ha(-1)), and WUE (0-6 kg C m(-3)) exhibited pronounced spatial heterogeneity. Higher CEs and yield concentrated in the central-southern plains, whereas WUE showed a patchier pattern with localized high values. Temporally, CEs increased for all crops, with rice consistently exhibiting the highest CEs. Soybean showed the most pronounced WUE improvement, reaching >2.0 kg C m(-3) after the early 2010s. Pixel-wise correlations revealed a robust CE-WUE antagonism for all crops (r = -0.33 to -0.60), while CE-yield coupling was crop-dependent (soybean positive, maize weakly negative, rice non-significant). Trend-based coupling further showed that synchronized CE and yield increases dominated 45.7% of croplands, whereas trade-offs were more common when WUE was involved (CE-WUE: 38.0%; WUE-yield: 41.8%), peaking in rice systems (61.8% and 54.0%, respectively). CCD mapping indicated widespread basic coordination but strong crop contrasts. Rice had the lowest coordination (mean CCD = 0.36 +/- 0.17) and the largest shares of moderate-to-severe imbalance, identifying rice as the primary FCW bottleneck, whereas maize and soybean more frequently achieved good-to-high coordination. These results support a zoned strategy that consolidates coordinated maize/soybean areas, prioritizes paddy water-saving and low-emission upgrades, and limits further rice expansion in water-constrained zones. |
| URL标识 | 查看原文 |
| WOS关键词 | RICE |
| WOS研究方向 | Agriculture ; Plant Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001700834000001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221342]  |
| 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.China Agr Univ, State Key Lab Maize Bio Breeding, Minist Agr & Rural Affairs China, Coll Agron & Biotechnol,Key Lab Farming Syst, Beijing 100193, Peoples R China; 2.Chinese Acad Sci, Northeast Inst Geog & Agroecol, State Key Lab Black Soils Conservat & Utilizat, Changchun 130102, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hou, Zhenwei,Liu, Yaqun,Li, Sijia,et al. Revealing Heterogeneous Trade-Offs and Synergies of Food-Carbon-Water Nexus for Sustainable Agricultural Development in Northeast China[J]. AGRONOMY-BASEL,2026,16(4):437. |
| APA | Hou, Zhenwei,Liu, Yaqun,Li, Sijia,Zhu, Bingxue,Lu, Changhe,&Zeng, Zhaohai.(2026).Revealing Heterogeneous Trade-Offs and Synergies of Food-Carbon-Water Nexus for Sustainable Agricultural Development in Northeast China.AGRONOMY-BASEL,16(4),437. |
| MLA | Hou, Zhenwei,et al."Revealing Heterogeneous Trade-Offs and Synergies of Food-Carbon-Water Nexus for Sustainable Agricultural Development in Northeast China".AGRONOMY-BASEL 16.4(2026):437. |
入库方式： OAI收割
来源：地理科学与资源研究所
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