冀北高原农业种植结构的演变  

Evolution of agricultural planting structure in the Northern Hebei Plateau

作　　者：党文硕 张玉翠[1,2] 成功 陈晓璐 沈彦俊 马全伟[3] 张泽伟 DANG Wenshuo;ZHANG Yucui;CHENG Gong;CHEN Xiaolu;SHEN Yanjun;MA Quanwei;ZHANG Zewei(Center for Agricultural Resources Research,Institute of Genetics and Developmental Biology,Chinese Academy of Sciences/Key Labo-ratory of Agricultural Water Resources,Chinese Academy of Sciences/Hebei Laboratory of Water-Saving Agriculture,Shijiazhuang 050022,China;University of Chinese Academy of Sciences,Beijing 100049,China;Zhangjiakou Agricultural Technology Extension Station,Zhangjiakou 075000,China;Hebei Agricultural Technology Extension Station,Shijiazhuang 050011,China)

机构地区：[1]中国科学院遗传与发育生物学研究所农业资源研究中心/中国科学院农业水资源重点实验室/河北省节水农业重点实验室,石家庄050022 [2]中国科学院大学,北京100049 [3]张家口市农业技术推广站,张家口075000 [4]河北省农业技术推广总站,石家庄050011

出　　处：《中国生态农业学报（中英文）》2024年第9期1441-1450,共10页Chinese Journal of Eco-Agriculture

基　　金：河北省重点研发计划项目(21327004D);国家自然科学基金项目(41930865,42171023);河北省自然科学基金创新群体项目(D2021503001)资助。

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(莜麦、春小麦)、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有所下降,其中传统作物(麦类、胡麻)种植面积下降约50.7%,经济作物(马铃薯、蔬菜)种植面积增长约211.4%。3)2000—2020年间,麦类种植面积有所下降,2020年约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、沽源县北部及张北县西北部安固里淖附近。以上研究结果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。The Northern Hebei Plateau,a pivotal agricultural region in Hebei Province,serves as a crucial ecological buffer for the Beijing-Tianjin-Hebei Region.Analyzing the spatiotemporal patterns of crop planting structures in this area and elucidating the evolution of crop planting structures across the Beijing-Tianjin-Hebei are essential for addressing regional water scarcity,sustaining agricultural development,and preserving ecological equilibrium.Previous studies on the crop planting structure of the Northern Hebei Plateau have primarily relied on statistical findings,lacking comprehensive exploration of spatial distribution changes influenced by policy and economic factors,facilitated by remote sensing technology.Leveraging MODIS NDVI remote sensing image data,a 30 m land use dataset,and statistical yearbooks,this study classified and delineated the cultivation areas of major crops such as spring wheat,naked oats,flax,vegetables,and potatoes in 2000,2010,and 2020.The analysis focused on understanding the spatiotemporal dynamics of crop cultivation patterns in the region.The findings revealed several key insights:1)Remote sensing monitoring results demonstrated strong correlation with agricultural statistics,R^(2)is 0.61 and consistency index is 0.96.The validation using the Kappa coefficient yielded 0.84,with an overall classification accuracy of 87.65%.2)Between 2000 and 2020,influenced by economic and policy factors,the total arable land area in the Northern Hebei Plateau exhibited a declining trend.While spring wheat and naked oats continued to dominate,traditional crops(spring wheat,naked oats,and flax)areas decreased by 50.7%,whereas economic crops(potatoes and vegetables)area increased by 211.4%.3)In 2020,nearly 51%of the planting area of spring wheat and naked oats con-centrated in the northern part of Kangbao County.The area devoted to flax declined by 57.0%,shifting towards the northern part of Shangyi County,while vegetable cultivation expanded by 19877 hm^(2),indicating a trend towards decentralization.Th

关 键 词：土地利用变化 种植结构 归一化植被指数(NDVI) 冀北高原 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]