Innovative Multi-Type Identification System for Cropland Abandonment on the Loess Plateau: Spatiotemporal Dynamics, Driver Shifts (2000-2023) and Implications for Food Security
文献类型：期刊论文
| 作者 | Song, Wei1,2 |
| 刊名 | LAND
 |
| 出版日期 | 2025-10-15 |
| 卷号 | 14期号:10页码:2062 |
| 关键词 | cropland abandonment multi-type identification system grain for green program food security Mann-Kendall test random forest algorithm Loess Plateau |
| DOI | 10.3390/land14102062 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | As a critical ecological barrier and key dryland agricultural zone in China, the Loess Plateau is faced with acute tensions between food security risks arising from cropland abandonment (CA) and the imperatives of ecological conservation. Yet, existing research has failed to adequately capture the long-term, high-spatiotemporal-resolution dynamics of abandonment in this region or to quantitatively couple its driving mechanisms with implications for food security. To address these gaps, this study establishes a high-precision identification system for CA tailored to the Plateau's complex topographic conditions, distinguishing among interannual abandonment, multiyear abandonment, conversion to forest/grassland, and reclamation. Leveraging long-term data from 2000 to 2023 and integrating the Mann-Kendall test with the random forest algorithm, we examine the spatiotemporal trajectories, driving forces, and food security consequences of CA. Guided by a type differentiation-grade classification-temporal tracking framework, the analysis reveals a marked transition in dominant drivers from socioeconomic factors to topographic-climatic factors. It further identifies an increasing loss-slowing growth effect of abandonment on grain production, alongside a pressure alleviation trend in per capita carrying capacity. The results showed that: (1) Between 2000 and 2023, the area of CA on the Loess Plateau expanded from 2.72 million ha to 6.96 million ha, with high-grade abandonment (>= 8 years) accounting for 58.9% of the total and being spatially concentrated in the hilly-gully regions of northern Shaanxi and eastern Gansu; (2) The Grain for Green Project (GFGP) peaked at approximately 340,000 hectares in 2018, followed by a slight decline, but has generally remained at around 300,000 hectares since then; (3) The reclamation rate of CA remained between 5% and 12% during 2003-2015, with minimal overall fluctuations, but after 2016, it gradually increased and peaked at 23.4% in 2022; (4) In terms of driving forces, population density (14.99%) was the primary determinant in 2005, whereas by 2020, slope (15.43%) and mean annual precipitation (15.63%) emerged as core factors; and (5) Grain yield losses attributable to abandonment increased from less than 100 t to nearly 450 t, though the growth rate slowed after 2016, accompanied by gradual alleviation of pressure on per capita carrying capacity. Overall, the study offers robust empirical evidence to inform cropland protection, food security strategies, and sustainable agricultural development policies on the Loess Plateau. |
| URL标识 | 查看原文 |
| WOS关键词 | AGRICULTURAL LAND ABANDONMENT ; FARMLAND ABANDONMENT ; EXTENT ; CHINA |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001603078700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217784]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Song, Wei |
| 作者单位 | 1.Hebei Collaborat Innovat Ctr Urban Rural Integrat, Shijiazhuang 050061, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Song, Wei. Innovative Multi-Type Identification System for Cropland Abandonment on the Loess Plateau: Spatiotemporal Dynamics, Driver Shifts (2000-2023) and Implications for Food Security[J]. LAND,2025,14(10):2062. |
| APA | Song, Wei.(2025).Innovative Multi-Type Identification System for Cropland Abandonment on the Loess Plateau: Spatiotemporal Dynamics, Driver Shifts (2000-2023) and Implications for Food Security.LAND,14(10),2062. |
| MLA | Song, Wei."Innovative Multi-Type Identification System for Cropland Abandonment on the Loess Plateau: Spatiotemporal Dynamics, Driver Shifts (2000-2023) and Implications for Food Security".LAND 14.10(2025):2062. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。