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Monitoring Spatiotemporal Dynamics of Farmland Abandonment and Recultivation Using Phenological Metrics

文献类型：期刊论文

作者Liu, Xingtao1,5; Wang, Shudong2; Zhang, Xiaoyuan3,4; Zhen, Lin1,5; Ma, Chenyang1,5; Naing, Saw Yan1,5; Liu, Kai2; Li, Hang2
刊名LAND
出版日期2025-08-28
卷号14期号:9页码:1745
关键词agricultural land-use dynamics phenological information vegetation restoration Yellow River Basin
DOI10.3390/land14091745
产权排序1
文献子类Article
英文摘要Driven by both natural and anthropogenic factors, farmland abandonment and recultivation constitute complex and widespread global phenomena that impact the ecological environment and society. In the Inner Mongolia Yellow River Basin (IMYRB), a critical tension lies between agricultural production and ecological conservation, characterized by dynamic bidirectional transitions that hold significant implications for the harmony of human-nature relations and the advancement of ecological civilization. With the development of remote sensing, it has become possible to rapidly and accurately extract farmland changes and monitor its vegetation restoration status. However, mapping abandoned farmland presents significant challenges due to its scattered and heterogeneous distribution across diverse landscapes. Furthermore, subjectivity in questionnaire-based data collection compromises the precision of farmland abandonment monitoring. This study aims to extract crop phenological metrics, map farmland abandonment, and recultivation dynamics in the IMYRB and assess post-transition vegetation changes. We used Landsat time-series data to detect the land-use changes and vegetation responses in the IMYRB. The Farmland Abandonment and Recultivation Extraction Index (FAREI) was developed using crop phenology spectral features. Key crop-specific phenological indicators, including sprout, peak, and wilting stages, were extracted from annual MODIS NDVI data for 2020. Based on these key nodes, the Landsat data from 1999 to 2022 was employed to map farmland abandonment and recultivation. Vegetation recovery trajectories were further analyzed by the Mann-Kendall test and the Theil-Sen estimator. The results showed rewarding accuracy for farmland conversion mapping, with overall precision exceeding 79%. Driven by ecological restoration programs, rural labor migration, and soil salinization, two distinct phases of farmland abandonment were identified, 87.9 kha during 2002-2004 and 105.14 kha during 2016-2019, representing an approximate 19.6% increase. Additionally, the post-2016 surge in farmland recultivation was primarily linked to national food security policies and localized soil amelioration initiatives. Vegetation restoration trends indicate significant greening over the past two decades, with particularly significant increases observed between 2011 and 2022. In the future, more attention should be paid to the trade-off between ecological protection and food security. Overall, this study developed a novel method for monitoring farmland dynamics, offering critical insights to inform adaptive ecosystem management and advance ecological conservation and sustainable development in ecologically fragile semi-arid regions.
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WOS关键词MODIS TIME-SERIES ; GOOGLE EARTH ; CROPLAND ABANDONMENT ; AGRICULTURAL LAND ; LOESS PLATEAU ; DRIVERS ; EUROPE ; AREA ; IDENTIFICATION ; CONSEQUENCES
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001581506200001
出版者MDPI
源URL[http://ir.igsnrr.ac.cn/handle/311030/217566]  
专题资源利用与环境修复重点实验室_外文论文
通讯作者Zhang, Xiaoyuan
作者单位1.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China;
2.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing & Digital Earth, Beijing 100194, Peoples R China;
3.Beijing Technol & Business Univ, Business Sch, Beijing 100048, Peoples R China;
4.Beijing Technol & Business Univ, Inst Cultural & Tourism Dev, Beijing 100048, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
推荐引用方式
GB/T 7714		 Liu, Xingtao,Wang, Shudong,Zhang, Xiaoyuan,et al. Monitoring Spatiotemporal Dynamics of Farmland Abandonment and Recultivation Using Phenological Metrics[J]. LAND,2025,14(9):1745.
APA Liu, Xingtao.,Wang, Shudong.,Zhang, Xiaoyuan.,Zhen, Lin.,Ma, Chenyang.,...&Li, Hang.(2025).Monitoring Spatiotemporal Dynamics of Farmland Abandonment and Recultivation Using Phenological Metrics.LAND,14(9),1745.
MLA Liu, Xingtao,et al."Monitoring Spatiotemporal Dynamics of Farmland Abandonment and Recultivation Using Phenological Metrics".LAND 14.9(2025):1745.

入库方式： OAI收割

来源：地理科学与资源研究所

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