Spatial-temporal assessment and optimization of ecological cropland utilization: A case study of China's Huang-Huai-Hai region
文献类型：期刊论文
| 作者 | Yang, Linpeng2,4; Liu, Yansui1,2; Wang, Qiang2,4; Ou, Cong2; Zhang, Qianxi3 |
| 刊名 | ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
 |
| 出版日期 | 2026-06-01 |
| 卷号 | 119页码:108383 |
| 关键词 | Sustainable intensification PEST-DNDC model Ecological cropland use index Zonal optimization The Huang-Huai-Hai region |
| ISSN号 | 0195-9255 |
| DOI | 10.1016/j.eiar.2026.108383 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Balancing food security with environmental sustainability represents a fundamental challenge for global agriculture, necessitating a comprehensive assessment of cropland use sustainability to inform science-based decision-making. Current methodologies present two main limitations: while integrated indicator frameworks are effective for diagnosing agricultural development patterns, their analytical perspectives tend to be static, and they are often constrained by data limitations in capturing key parameters of agroecosystem processes. Conversely, process-based models excel at simulating detailed agroecosystem dynamics but seldom translate these simulations into spatially differentiated management strategies. To address this gap, this study developed an integrated framework coupling process-based simulation with diagnostic assessment, centered on a dynamic, multidimensional Ecological Cropland Use Index (ECUI) that synthesizes productivity, environmental impact, and resource use efficiency into a composite sustainability metric. We applied this framework to China's HuangHuai-Hai region, a critical grain-producing area facing acute sustainability pressures, using outputs from a regionally calibrated PEST-DNDC model. Our analysis from 2001 to 2020 indicates that regional grain output increased by 128.1%, yet this gain coincided with a fundamental shift from a net carbon sink to a persistent net source, with croplands incurring an annual SOC loss of 79.88 Tg C in 2020, alongside rising greenhouse gas emissions. Spatially, over 70% of croplands experienced ECUI degradation, with high-sustainability zones shifting from traditional agricultural cores to the Bohai Rim. Key systemic constraints include low nitrogen-use efficiency, soil carbon decline, and suboptimal yields. Based on diagnostic analyses, we propose targeted optimization strategies for identified constraint zones. This study demonstrates how linking mechanistic modeling with diagnostic indices can elucidate sustainability trade-offs and generate actionable management insights. The framework offers a transferable pathway for guiding the sustainable intensification of agricultural systems worldwide. |
| URL标识 | 查看原文 |
| WOS关键词 | SOIL ORGANIC-CARBON ; LEAF-AREA INDEX ; WINTER-WHEAT ; RICE ; DATASET ; LANDSAT ; MIDDLE ; YIELD |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001691450300001 |
| 出版者 | ELSEVIER SCIENCE INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/220988]  |
| 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, Yansui |
| 作者单位 | 1.Henan Univ, Fac Geog Sci & Engn, Zhengzhou 450046, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Peking Univ, Sch Urban Planning & Design, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yang, Linpeng,Liu, Yansui,Wang, Qiang,et al. Spatial-temporal assessment and optimization of ecological cropland utilization: A case study of China's Huang-Huai-Hai region[J]. ENVIRONMENTAL IMPACT ASSESSMENT REVIEW,2026,119:108383. |
| APA | Yang, Linpeng,Liu, Yansui,Wang, Qiang,Ou, Cong,&Zhang, Qianxi.(2026).Spatial-temporal assessment and optimization of ecological cropland utilization: A case study of China's Huang-Huai-Hai region.ENVIRONMENTAL IMPACT ASSESSMENT REVIEW,119,108383. |
| MLA | Yang, Linpeng,et al."Spatial-temporal assessment and optimization of ecological cropland utilization: A case study of China's Huang-Huai-Hai region".ENVIRONMENTAL IMPACT ASSESSMENT REVIEW 119(2026):108383. |
入库方式： OAI收割
来源：地理科学与资源研究所
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