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Journal of Integrative Agriculture  2026, Vol. 25 Issue (7): 3058-3037    DOI: 10.1016/j.jia.2025.09.001
Agricultural Economics and Management Advanced Online Publication | Current Issue | Archive | Adv Search |
Spatiotemporal dynamics and food security implications of cropland abandonment in China

Ze Han1, Wei Song1#, Chen Shen2

1 Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China 

Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China

 Highlights 
China’s cropland abandonment rate peaked at 3.98% in 2016, exhibiting four distinct phases.
Three abandonment patterns were classified: long-term (≥10 years), progressive, and occasional types.
High abandonment rates (>15%) are concentrated in mountainous regions while plains maintain rates below 5%.
Abandoned cropland resulted in peak potential grain losses of 23.8 million tonnes in 2010.
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摘要  

耕地撂荒对粮食安全和农业可持续发展具有重要影响,但目前对中国耕地撂荒的动态变化过程及其潜在粮食安全影响的深入研究仍显不足。本研究基于1992-2022年中国土地利用轨迹数据,分析了耕地撂荒的时空模式、劳动力迁移对其产生的影响,以及由此带来的粮食安全潜在影响。研究发现,中国耕地撂荒经历了缓慢增长、快速增加、高位波动和逐步下降四个阶段,并于2016年达到3.98%的峰值。本研究识别出三种主要的撂荒模式,并揭示了空间分布特征其中,长期性撂荒(单次撂荒时长≥10年)主要集中在自然条件较差的西南山区;偶发性撂荒(单次撂荒时长在3-9年间)则主要出现在经济发达的东部沿海地区;而渐进退化模式则出现在平原和山地的过渡地带。动力迁移与耕地撂荒率之间具有非线性关系,短距离(县域内)迁移有助于减少撂荒率,而中距离(省域内)迁移则显著增加了弃耕率在撂荒耕地的耕作适宜性及其对潜在粮食损失的影响方面,57.50%的撂荒发生在低耕作适宜性土地上,但仍有42.50%则发生在高耕作适宜性耕地上。2010中国潜在粮食损失达到峰值,其中低耕作适宜性土地和高耕作适宜性土地的损失分别约为1500万吨和880万吨。本研究的发现为制定区域差异化管理策略提供了数据支撑,旨在通过统筹考量土地适宜性、劳动力迁移模式和地方社会经济状况,以确保农业的可持续发展



Abstract  Cropland abandonment substantially affects food security and agricultural sustainability, yet comprehensive analyses of its dynamics in rapidly developing regions remain limited.  This study examines the spatiotemporal patterns, labor migration influences, and food security implications of cropland abandonment in China from 1992 to 2022.  The results show that abandonment progressed through four phases: slow growth, rapid increase, high-level fluctuation peaking at 3.98% in 2016, and gradual decline.  The research identified three primary abandonment patterns - single long-term (≥10 years), progressive degradation, and occasional (3–9 years) - with distinct spatial distributions.  Long-term abandonment concentrates in the marginal agricultural areas of southwestern mountainous regions, while occasional abandonment predominates in the more economically developed eastern coastal areas, and progressive degradation patterns appear in transitional zones between plains and mountains.  Labor migration influenced abandonment non-linearly with distinct regional thresholds.  Short-distance (within-county) migration reduced abandonment rates, while medium-distance (within-province) migration significantly increased them.  Although 57.50% of abandonment occurred on low-suitability land, 42.50% affected high-suitability cropland, resulting in peak potential grain losses of 15.0 and 8.8 million tonnes for low and high suitability land respectively in 2010.  These findings support regionally differentiated land management strategies that integrate land suitability assessments, labor migration patterns, and local socioeconomic conditions to ensure agricultural sustainability.
Keywords:  cropland abandonment       land use trajectory       food security       agricultural land suitability       China  
Received: 23 January 2023   Accepted: 03 July 2025 Online: 04 September 2025  
Fund: This work was supported by the National Natural Science Foundation of China (72304263) and the Third Comprehensive Scientific Investigation in Xinjiang, China (2022xjkk0905).
About author:  #Correspondence Wei Song, Tel: +86-10-64889450, Fax: +86-10-64856533, E-mail: songw@igsnrr.ac.cn

Cite this article: 

Ze Han, Wei Song, Chen Shen. 2026. Spatiotemporal dynamics and food security implications of cropland abandonment in China. Journal of Integrative Agriculture, 25(7): 3058-3037.

Bren d’Amour C, Reitsma F, Baiocchi G, Barthel S, Güneralp B, Erb K H, Haberl H, Creutzig F, Seto K C. 2017. Future urban land expansion and implications for global croplands. Proceedings of the National Academy of Sciences of the United States of America114, 8939–8944.

Cramer V A, Hobbs R J, Standish R J. 2008. What’s new about old fields? Land abandonment and ecosystem assembly. Trends in Ecology & Evolution23, 104–112.

Fei R, Lin Z, Chunga J. 2021. How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector. Land Use Policy103, 105300.

Grabska-Szwagrzyk E, Khiabani P H, Pesoa-Marcilla M, Chaturvedi V, de Vries W T. 2024. Exploring land use dynamics in rural areas: An analysis of eight cases in the Global North. Land Use Policy144, 107246.

Gu C, Guan W, Liu H. 2017. Chinese urbanization 2050: SD modeling and process simulation. Science China Earth Sciences60, 1067–1082.

Guo A, Yue W, Yang J, Xue B, Xiao W, Li M, He T, Zhang M, Jin X, Zhou Q. 2023. Cropland abandonment in China: Patterns, drivers, and implications for food security. Journal of Cleaner Production418, 138154.

Han Z, Song W. 2019. Spatiotemporal variations in cropland abandonment in the Guizhou-Guangxi karst mountain area, China. Journal of Cleaner Production238, 117888.

Han Z, Song W. 2020. Abandoned cropland: Patterns and determinants within the Guangxi Karst Mountainous Area, China. Applied Geography122, 102245.

Hao S, Wang G, Yang Y, Zhao S, Huang S, Liu L, Zhang H. 2024. Promoting grain production through high-standard farmland construction: Evidence in China. Journal of Integrative Agriculture23, 324–335.

Huang J, Yang G. 2017. Understanding recent challenges and new food policy in China. Global Food Security12, 119–126.

IFPRI (International Food Policy Research Institute). 2019Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7. Harvard Dataverse, V1. [2024-12-31]. https://www.mapspam.info/data/

Isbell F, Tilman D, Reich P B, Clark A T. 2019. Deficits of biodiversity and productivity linger a century after agricultural abandonment. Nature Ecology & Evolution3, 1533–1538.

Kriebs A. 2023. Population aging and sustainable farming in China. Nature Aging3, 367.

Li H, Song W. 2021. Cropland abandonment and influencing factors in Chongqing, China. Land10, 1206.

Li S, Li X, Sun L, Cao G, Fischer G, Tramberend S. 2018. An estimation of the extent of cropland abandonment in mountainous regions of China. Land Degradation & Development29, 1327–1342.

Li S, Xiao J, Lei X, Wang Y. 2023. Farmland abandonment in the mountainous areas from an ecological restoration perspective: A case study of Chongqing, China. Ecological Indicators153, 110412.

Li Y, Zhou T, Jiang G, Li G, Zhou D, Luo Y. 2021. Spatial pattern and mechanisms of farmland abandonment in Agricultural and Pastoral Areas of Qingzang Plateau. Geography and Sustainability2, 139–150.

Liao L, Long H, Gao X, Ma E. 2019. Effects of land use transitions and rural aging on agricultural production in China’s farming area: A perspective from changing labor employing quantity in the planting industry. Land Use Policy88, 104152.

Liu G, Wang H, Cheng Y, Zheng B, Lu Z. 2016. The impact of rural out-migration on arable land use intensity: Evidence from mountain areas in Guangdong, China. Land Use Policy, 59, 569–579.

Liu L, Xu X, Chen X. 2015. Assessing the impact of urban expansion on potential crop yield in China during 1990–2010. Food Security, 7, 33–43.

Liu Y, Li Y. 2017. Revitalize the world’s countryside. Nature548, 275–277.

Lu N, Tian H, Fu B, Yu H, Piao S, Chen S, Li Y, Li X, Wang M, Li Z, Zhang L, Ciais P, Smith P. 2022. Biophysical and economic constraints on China’s natural climate solutions. Nature Climate Change12, 847–853.

Ma W, Zhu Z, Zhou X. 2022. Agricultural mechanization and cropland abandonment in rural China. Applied Economics Letters29, 526–533.

Meyfroidt P. 2016. Approaches and terminology for causal analysis in land systems science. Journal of Land Use Science11, 501–522.

MARA (Ministry of Agriculture and Rural Affairs of China). 2019–2022. China Rural Policy and Reform Statistical Annual Report. China Agriculture Press, Beijing, China. (in Chinese)

MARA (Ministry of Agriculture and Rural Affairs of China). 2006–2018China Rural Operation and Management Statistical Annual Report. China Agriculture Press, Beijing, China. (in Chinese)

NBSC (National Bureau of Statistics of China). 2006–2022. China Rural Statistical Yearbook. China Statistics Press, Beijing, China. (in Chinese)

Ning Y, Liu S, Zhao S, Liu M, Gao H, Gong P. 2022. Urban growth rates, trajectories, and multi-dimensional disparities in China. Cities126, 103717.

Plummer S, Lecomte P, Doherty M. 2017. The ESA Climate Change Initiative (CCI): A European contribution to the generation of the Global Climate Observing System. Remote Sensing of Environment203, 2–8.

Potapov P, Turubanova S, Hansen M C, Tyukavina A, Zalles V, Khan A, Song X P, Pickens A, Shen Q, Cortez J. 2021. Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century. Nature Food3, 19–28.

Prishchepov A V, Radeloff V C, Baumann M, Kuemmerle T, Müller D. 2012. Effects of institutional changes on land use: Agricultural land abandonment during the transition from state-command to market-driven economies in post-soviet eastern Europe. Environmental Research Letters7, 024021.

Queiroz C, Beilin R, Folke C, Lindborg R. 2014. Farmland abandonment: Threat or opportunity for biodiversity conservation? A global review. Frontiers in Ecology and the Environment, 12, 288–296.

Ren C, Zhou X, Wang C, Guo Y, Diao Y, Shen S, Reis S, Li W, Xu J, Gu B. 2023. Ageing threatens sustainability of smallholder farming in China. Nature616, 96–103.

Rudel T K, Schneider L, Uriarte M, Turner B L, DeFries R, Lawrence D, Geoghegan J, Hecht S, Ickowitz A, Lambin E F. 2009. Agricultural intensification and changes in cultivated areas, 1970–2005. Proceedings of the National Academy of Sciences of the United States of America106, 20675–20680.

Shi Y L. 1982. Explanation of “working plan for land resource classification of 1:100,000 land resource map of China”. Natural Resources1, 63–69. (in Chinese)

Tian Y, Gao Y, Pu C. 2023. Do agricultural productive services alleviate farmland abandonment? Evidence from China rural household panel survey data. Frontiers in Environmental Science11, 1072005.

Tu Y, Wu S, Chen B, Weng Q, Bai Y, Yang J, Yu L, Xu B. 2024. A 30 m annual cropland dataset of China from 1986 to 2021. Earth System Science Data16, 2297–2316.

Wang C, Gao B, Weng Z, Tian Y. 2020. Primary causes of total hamlet abandonment for different types of hamlets in remote mountain areas of China: A case study of Shouning County, Fujian Province. Land Use Policy95, 104627.

Wang H, Guo Z, Xie Y, Zhang X, Xi G, Huang H. 2023. Is abandoned cropland continuously growing in China? Quantitative evidence and enlightenment from Landsat-derived annual China land cover dataset. Land13, 45.

Xu D, Deng X, Huang K, Liu Y, Yong Z, Liu S. 2019. Relationships between labor migration and cropland abandonment in rural China from the perspective of village types. Land Use Policy88, 104164.

Xie Y, Jiang Q. 2016. Land arrangements for rural–urban migrant workers in China: Findings from Jiangsu Province. Land Use Policy50, 262–267.

Yin H, Brandão A, Buchner J, Helmers D, Iuliano B G, Kimambo N E, Lewińska K E, Razenkova E, Rizayeva A, Rogova N, Spawn S A, Xie Y, Radeloff V C. 2020. Monitoring cropland abandonment with Landsat time series. Remote Sensing of Environment246, 111873.

Yin Z, Hu J, Zhang J, Zhou X, Li L, Wu J. 2024. Temporal and spatial evolution of global major grain trade patterns. Journal of Integrative Agriculture23, 1075–1086.

Yu W, Jensen H G. 2010. China’s agricultural policy transition: impacts of recent reforms and future scenarios. Journal of Agricultural Economics61, 343–368.

Yu Z, Jin X, Miao L, Yang X. 2021. A historical reconstruction of cropland in China from 1900 to 2016. Earth System Science Data13, 3203–3218.

Zeng J, Luo T, Chen W, Gu T. 2024. Assessing and mapping cropland abandonment risk in China. Land Degradation & Development35, 2738–2753.

Zhang W, Qie R. 2024. Spatiotemporal change of cultivated land in China during 2000–2020. PLoS ONE19, e0293082.

Zheng Q, Ha T, Prishchepov A V, Zeng Y, Yin H, Koh L P. 2023. The neglected role of abandoned cropland in supporting both food security and climate change mitigation. Nature Communications14, 6083.

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