党文硕, 张玉翠, 成功, 陈晓璐, 沈彦俊, 马全伟, 张泽伟. 冀北高原农业种植结构的演变[J]. 中国生态农业学报 (中英文), 2024, 32(0): 1−10. DOI: 10.12357/cjea.20240035
引用本文: 党文硕, 张玉翠, 成功, 陈晓璐, 沈彦俊, 马全伟, 张泽伟. 冀北高原农业种植结构的演变[J]. 中国生态农业学报 (中英文), 2024, 32(0): 1−10. DOI: 10.12357/cjea.20240035
DANG W S, ZHANG Y C, CHENG G, CHEN X L, SHEN Y J, MA Q W, ZHANG Z W. Evolution of agricultural planting structure in the Northern Hebei Plateau*[J]. Chinese Journal of Eco-Agriculture, 2024, 32(0): 1−10. DOI: 10.12357/cjea.20240035
Citation: DANG W S, ZHANG Y C, CHENG G, CHEN X L, SHEN Y J, MA Q W, ZHANG Z W. Evolution of agricultural planting structure in the Northern Hebei Plateau*[J]. Chinese Journal of Eco-Agriculture, 2024, 32(0): 1−10. DOI: 10.12357/cjea.20240035

冀北高原农业种植结构的演变

Evolution of agricultural planting structure in the Northern Hebei Plateau*

  • 摘要: 冀北高原是京津冀地区的重要生态屏障和农业产区, 分析该地区作物种植结构的时空格局变化, 明确其种植结构演变规律对破解区域水资源匮乏与农业可持续发展至关重要。本研究基于MODIS-NDVI数据对冀北高原2000年、2010年、2020年3期主要种植作物麦类、胡麻、蔬菜、马铃薯的种植面积进行分类提取, 并分析了该地区农作物种植结构的时空格局变化规律。研究结果表明: 1)遥感监测与农业统计数据相关性的决定系数为0.61, 混淆矩阵验证Kappa系数为0.84, 总体分类精度为87.65%, 分类精度较高。2)2000—2020年, 冀北高原总耕地面积呈波动下降趋势, 传统作物(麦类、胡麻)种植面积逐渐下降, 下降幅度为50.7%; 经济作物(马铃薯、蔬菜)种植面积稳定增长, 增长幅度达211.4%。3)2020年, 麦类种植面积逐渐缩小, 且约51%的麦类集中在康保县北部, 胡麻分布逐渐迁移至尚义县北部, 蔬菜分布区域趋于分散化, 马铃薯种植范围扩大, 集中在尚义县北部及张北县西北部安固里淖附近。该研究可为冀北高原种植结构调整、水资源合理配置提供科学数据支撑。

     

    Abstract: As one of the key agricultural areas in Hebei Province, the Northern Hebei Plateau serves a crucial ecological barrier for the Beijing-Tianjin-Hebei region. Analyzing the spatiotemporal patterns of crop planting structures in this area and clarifying the evolution of crop planting structures in the Beijing-Tianjin-Hebei region is crucial for solving regional water scarcity, sustaining agricultural development, and maintaining ecological balance. Previous studies on the crop planting structure of the Northern Hebei Plateau are mainly based on statistical results that lack exploration of overall spatial distribution changes in agricultural planting structure under the influences of policy and economics using remote sensing technology. Based on MODIS-MOD09Q1 remote sensing image data, the 30 m land use dataset and statistical yearbooks, this study classified and extracted the planting areas of dominant crops such as wheat, oat, flax, vegetable, and potato for the years 2000, 2010, and 2020, and analyzed the spatiotemporal patterns of crop cultivation structure in the region. The results show that: 1) Remote sensing monitoring results have a high correlation with agricultural statistics, with R2=0.61, d=0.96. The Kappa coefficient validated through a confusion matrix, is 0.84, and the overall classification accuracy is 87.65%. 2) From 2000 to 2020, influenced by economic and policy factors, the total arable land area in the Northern Hebei Plateau showed a fluctuating downward trend. The planting area was dominated by wheat and oats, although the traditional crops (wheat and oat, flax) gradually decreased by 50.7% while the planting area of economic crops (potato, vegetable) steadily increased by 211.4%. 3) In 2020, the area of wheat and oat gradually reduced, with 51% of cereals concentrated in the northern part of Kangbao County; the overall flax planting area decreased by 57.0%, gradually shifting to the northern part of Shangyi County, while the vegetable planting area increased by 19.89 hm2, showing a trend towards decentralization; the potato cultivation area expanded, which was mainly planted near Anguli Lack in the northern part of Shangyi County and the northwest of Zhangbei County. 4) The difference in agricultural land changes among the four counties is significant. From 2000 to 2020, Kangbao County had the lowest decrease in wheat and oat planting area, Shangyi County had the highest increase in flax planting area by 129.2%, and the increase in potato area was 16 times; changes in vegetable planting area were relatively small among the four counties. 5) The "Two Zones" construction policy of the capital, market orientation, and the economic benefits of crops are significant factors affecting the agricultural planting structure of the Northern Hebei Plateau. This study can provide scientific data support for the adjustment of planting structure and rational allocation of water resources in the Northern Hebei Plateau.

     

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