耕地“非粮化”背景下耕地韧性时空特征分析
Analysis of the Spatio-Temporal Characteristics of Farmland Resilience under the Background of “Non-Grain Use” of Farmland
摘要: 研究目的：探究耕地“非粮化”背景下长江中游城市群耕地韧性的时空分布特征，推动耕地可持续发展，保障生态安全与粮食安全。研究方法：基于DPSIR模型选取18个指标构建耕地韧性指标体系，采用熵权-TOPSIS法进行赋权并计算综合韧性值，运用MATLAB绘制时序分异图，利用地理信息系统(GIS)绘制耕地韧性空间分布图。研究结果：耕地“非粮化”背景下长江中游城市群耕地韧性较低且提升缓慢，最高值出现在2020年，为0.2743；研究期内，长江中游城市群耕地韧性存在明显空间聚集性，呈现出南部地区高韧性聚集并向外辐射的空间分布特征。研究结论：长江中游城市群的耕地韧性有待提升，提出分区优化措施、合理管控“非粮化”对实现耕地“非粮化”背景下耕地韧性提升与可持续发展具有重要意义。
Abstract: Research Objective: To explore the spatio-temporal distribution characteristics of farmland resilience in the Yangtze River Midstream Urban Agglomeration under the background of “non-grain use” of farmland, promote the sustainable development of farmland, and ensure ecological and food security. Research Method: Based on the DPSIR model, 18 indicators were selected to construct a farmland resilience index system. The entropy weight-TOPSIS method was used for weighting and calculating the comprehensive resilience value. MATLAB was used to draw the temporal differentiation map, and GIS was used to draw the spatial distribution map of farmland resilience. Research Results: Under the background of “non-grain use” of farmland, the farmland resilience in the Yangtze River Midstream Urban Agglomeration is relatively low and increases slowly. The highest value was 0.2743 in 2020. During the research period, there was a significant spatial aggregation of farmland resilience in the Yangtze River Midstream Urban Agglomeration, showing a spatial distribution feature of high resilience aggregation in the southern region and radiating outward. Research Conclusion: The farmland resilience in the Yangtze River Midstream Urban Agglomeration needs to be improved. Proposing zonal optimization measures and reasonable control of “non-grain use” is of great significance for enhancing farmland resilience and achieving sustainable development under the background of “non-grain use” of farmland.
文章引用：夏可卿, 简文浩. 耕地“非粮化”背景下耕地韧性时空特征分析[J]. 土壤科学, 2026, 14(1): 49-56. https://doi.org/10.12677/hjss.2026.141006

参考文献

[1] Bai, E., Guo, W., Zhang, H., Tan, Y., Li, X. and Wei, Z. (2024) Degradation Mechanism of Cultivated Land and Its Protection Technology in the Central Coal-Grain Overlapped Area of China. Journal of Cleaner Production, 468, Article 143075. [Google Scholar] [CrossRef] 
[2] Zhang, D., Yang, W., Kang, D. and Zhang, H. (2023) Spatial-Temporal Characteristics and Policy Implication for Non-Grain Production of Cultivated Land in Guanzhong Region. Land Use Policy, 125, Article 106466. [Google Scholar] [CrossRef] 
[3] Jiang, C., Wang, L., Guo, W., Chen, H., Liang, A., Sun, M., et al. (2024) Spatio-Temporal Evolution and Multi-Scenario Simulation of Non-Grain Production on Cultivated Land in Jiangsu Province, China. Land, 13, Article 670. [Google Scholar] [CrossRef] 
[4] Dai, X., Wang, L., Huang, C., Fang, L., Wang, S. and Wang, L. (2020) Spatio-Temporal Variations of Ecosystem Services in the Urban Agglomerations in the Middle Reaches of the Yangtze River, China. Ecological Indicators, 115, Article 106394. [Google Scholar] [CrossRef] 
[5] 王舒琪, 叶兴庆. 耕地非粮化的负外部性问题及化解策略[J]. 农村经济, 2023(10): 1-10.
[6] Lu, D., Wang, Z., Su, K., Zhou, Y., Li, X. and Lin, A. (2024) Understanding the Impact of Cultivated Land-Use Changes on China’s Grain Production Potential and Policy Implications: A Perspective of Non-Agriculturalization, Non-Grainization, and Marginalization. Journal of Cleaner Production, 436, Article 140647. [Google Scholar] [CrossRef] 
[7] Tang, D., Li, J., Zhao, Z., Boamah, V. and Lansana, D.D. (2023) The Influence of Industrial Structure Transformation on Urban Resilience Based on 110 Prefecture-Level Cities in the Yangtze River. Sustainable Cities and Society, 96, Article 104621. [Google Scholar] [CrossRef] 
[8] Tao, T., Ma, L., Liu, Y., Tang, H., Wang, X. and Wu, S. (2025) A Systematic Framework for Rural Resilience Assessment in the Rural Gansu Province, China. Environmental Impact Assessment Review, 110, Article 107715. [Google Scholar] [CrossRef] 
[9] Sun, Y., Wang, Y., Zhou, X. and Chen, W. (2023) Are Shrinking Populations Stifling Urban Resilience? Evidence from 111 Resource-Based Cities in China. Cities, 141, Article 104458. [Google Scholar] [CrossRef] 
[10] Zhang, Y., Yang, Y., Chen, Z. and Zhang, S. (2020) Multi-Criteria Assessment of the Resilience of Ecological Function Areas in China with a Focus on Ecological Restoration. Ecological Indicators, 119, Article 106862. [Google Scholar] [CrossRef] 
[11] 苗欣然, 李泽红, 王梦媛. 粮食供应安全下东北黑土区耕地利用系统韧性时空演变——以齐齐哈尔市为例[J]. 资源科学, 2023, 45(9): 1801-1816.
[12] Yin, X., Li, Z., Xu, G. and Wan, C. (2024) Integrating Resilience Theory into a Cultivated Land System: Empirical Insights from China’s Key Grain‐Producing Regions. Land Degradation & Development, 35, 5425-5438. [Google Scholar] [CrossRef] 
[13] Xu, W., Jin, X., Liu, J., Li, H., Zhang, X. and Zhou, Y. (2023) Spatiotemporal Evolution and the Detection of Key Drivers in the Resilience of Cultivated Land System in Major Grain‐Producing Regions of China. Land Degradation & Development, 34, 4712-4727. [Google Scholar] [CrossRef] 
[14] 李窚琪, 张翊, 付保红, 等. 昆明市耕地韧性评价及空间差异[J]. 科学技术与工程, 2021, 21(12): 4848-4855.
[15] 孟丽君, 黄灿, 陈鑫, 等. 曲周县耕地利用系统韧性评价[J]. 资源科学, 2019, 41(10): 1949-1958.
[16] Zhang, Y., Zhang, Y., Zhang, H. and Zhang, Y. (2022) Evaluation on New First-Tier Smart Cities in China Based on Entropy Method and Topsis. Ecological Indicators, 145, Article 109616. [Google Scholar] [CrossRef] 
[17] Yang, H., Zou, R., Hu, Y., Wang, L., Xie, Y., Tan, Z., et al. (2024) Sustainable Utilization of Cultivated Land Resources Based on "element Coupling-Function Synergy" Analytical Framework: A Case Study of Guangdong, China. Land Use Policy, 146, Article 107316. [Google Scholar] [CrossRef] 
[18] Lyu, X., Wang, Y., Niu, S. and Peng, W. (2021) Spatio-Temporal Pattern and Influence Mechanism of Cultivated Land System Resilience: Case from China. Land, 11, Article 11. [Google Scholar] [CrossRef] 
[19] Su, J., Wu, H., Zhang, X. and Zhang, Z. (2024) Research on the Impact of Sand and Dust Weather on the Social-Ecological System Resilience Based on the DPWSIR Model—Taking the Arid Cities of Northwest China as an Example. Ecological Indicators, 166, Article 112314. [Google Scholar] [CrossRef] 

为你推荐