摘要
山区土地与平原土地在地形地貌等自然要素上存在明显差异,从而导致山区土地类型的划分有很大的特殊性。为了充分体现山区县域尺度自然要素差异,为山区县域尺度土地类型划分提供新方法、新思路,选取太行山典型地区阜平县作为研究区,选取气候、地形、土壤、植被因素,通过SOFM模型及传统土地类型划分方法,对山区县域尺度土地类型进行划分。结果表明:(1)将SOFM模型(自组织特征映射)与传统的土地类型划分方法相结合,对阜平县土地类型进行了三级划分,其中一级类7个,二级类47个,三级类81个;(2)通过对比验证,该方法与传统分类方法存在一致性。基于SOFM模型的土地类型划分方法对山区县域尺度进行土地类型划分,可充分反映山区县域尺度土地分异规律,比传统方法相更加精确。
There were obvious differences between mountainous land and plain land in natural elements such as topography,which led to great particularity in the division of land types in mountainous areas.In order to fully reflect the differences of natural factors at the county scale in mountainous areas,and provide new methods and ideas for the division of land types at the county scale in mountainous areas,the Fuping County,a typical area of Taihang Mountain,was selected as the study area,and the factors of climate,terrain,soil and vegetation were selected to divide the county scale land types in mountainous areas through the SOFM model and traditional land type division method.The results showed that:(1)Combining the SOFM model(self-organizing feature mapping)with the traditional land type division method,the land types of Fuping County were divided into three levels,including 7 first level classes,47 second level classes and 81 third level classes;(2)Through comparison and verification,this method was consistent with the traditional classification methods.Based on the SOFM model and traditional land type division method,the land type division of mountainous county scale could fully reflect the land differentiation law of mountainous county scale,which was more accurate than traditional methods.
作者
赵东阳
刘琳洁
加鹏华
陈亚恒
王树涛
周亚鹏
许皞
ZHAO Dongyang;LIU Linjie;JIA Penghua;CHEN Yaheng;WANG Shutao;ZHOU Yapeng;XU Hao(College of Land and Resources,Hebei Agricultural University,Baoding 071000,China;College of Resources and Environmental Science,Hebei Agricultural University,Baoding 071000,China;Cultivated Land Quality and Agricultural Environmental Protection Workstation of Shanxi Province,Xi′an 710000,China)
出处
《林业与生态科学》
2023年第1期48-54,共7页
Forestry and Ecological Sciences
基金
河北省高等学校人文社会科学研究项目资助(SQ201036)
河北省重点研发计划项目(21373807D)。