寒旱农业科学2026，Vol.5Issue(2)：136-143,8.DOI:10.3969/j.issn.2097-2172.2026.02.007
黄土高原撂荒耕地时空变化和驱动因素分析
Spatio-temporal Changes and Driving Factors of Abandoned Croplands in the Loess Plateau
摘要
Abstract
The Loess Plateau,as an important ecological barrier and agricultural production area in China,faces the issue of cropland abandonment,which has profound impacts on regional ecological environments and food security.Revealing the spatiotempo-ral pattern and driving mechanism of abandoned croplands provides a scientific basis for the formulation of cropland protection and ecological restoration policies on the Loess Plateau.Based on sliding window analysis and pixel-by-pixel correlation analysis,this study systematically revealed the spatiotemporal characteristics and driving mechanisms of abandoned cropland from 1992 to 2019 on the Loess Plateau using China Land Cover Data(CLCD),nighttime light data(SVNL),topographic data,and climatic data.Results indi-cated that from 1992 to 2019,the total area of abandoned croplands on the Loess Plateau was 107.46×105 hectares.Among this,the av-erage area of abandoned croplands was the highest during the comprehensive implementation phase of the Grain for Green Program(2001 to 2006).Abandoned croplands were mainly distributed in high-altitude(1500 to 1750 meters)and steep-slope(70°to 75°)ar-eas,indicating significant constraints imposed by natural conditions on cropland utilization.The area of abandoned croplands varied significantly along temperature and precipitation gradients,with the highest abandonment rates observed in the-4 to 1℃ low-temper-ature range and the 400 to 500 mm precipitation range.Correlation analysis between nighttime light intensity and abandoned cropland showed that in most regions of the Loess Plateau(60.26％),the correlation coefficients ranged between-0.200 0 to 0,indicating a weak correlation between nighttime light intensity and abandoned farmland.However,provincial-scale analysis revealed significant negative correlations in Shanxi and Inner Mongolia,while significant positive correlations were observed in Shaanxi and Ningxia,re-flecting differences in regional economic development models and land use structures.关键词
黄土高原/撂荒耕地/时空变化/夜间灯光数据/地形因子/退耕还林还草工程Key words
Loess Plateau/Abandoned cropland/Spatiotemporal change/Nighttime light data/Topographic factor/Grain for Green Program分类
管理科学引用本文复制引用
杜丹丹,董博,张东伟,温健..黄土高原撂荒耕地时空变化和驱动因素分析[J].寒旱农业科学,2026,5(2):136-143,8.基金项目
甘肃省旱作区水资源高效利用重点实验室开放基金(2024HNS10) （2024HNS10）
甘肃省科技重大专项计划项目(25ZD-FA011) （25ZD-FA011）
甘肃省软科学计划项目(25JRZA140) （25JRZA140）
兰州市科技计划项目(2024-8-39) （2024-8-39）
永登县科技计划项目(2024-3). （2024-3）
