云南省华山松林空间分布影响因子分析
收稿日期: 2018-09-18
修回日期: 2018-10-29
网络出版日期: 2020-09-27
基金资助
国家自然科学基金项目“基于高光谱耦合建模的干旱遥感反演技术”(31460195);国家自然科学“典型高原湖滨湿地植被高光谱遥感反演及时空演变过程”(31660236)
Study on Environmental Impact Factors of Pinus armandii Forest in Yunnan Province
Received date: 2018-09-18
Revised date: 2018-10-29
Online published: 2020-09-27
基于云南省第七次森林资源连续清查样地数据,分析和归纳华山松林在不同环境梯度上的空间分布特征,采用多重对应分析方法,分析环境影响因子对华山松林空间分布的影响程度,并对影响程度进行排序。结果表明:1)在水平地带性上,华山松林在滇中分布较多,但滇西北地区各测树因子均高于其他地区;在垂直地带性上,华山松林在各海拔区间波动都稍大,方差也较大;2)华山松林空间分布总体方差在流域、海拔和经度等大尺度环境因子上差异明显,而土类、坡位、坡向和坡度等小尺度环境因子的影响则相对一致;3)华山松林空间分布环境因子按影响程度由大到小排序为日照>降水>流域>纬度>湿度>经度>土类>温度>风速>土厚>坡向>坡位>海拔>坡度。
张一 , 张超 . 云南省华山松林空间分布影响因子分析[J]. 林草资源研究, 2018 , 0(6) : 68 -75 . DOI: 10.13466/j.cnki.lyzygl.2018.06.012
Grasping the main environmental impact factors of Pinus armandii forest and applying quantitative research methods can provide theoretical basis for effective protection,restoration and rational use of Pinus armandii forest resources.The research is based on data from the Continuous Forest Inventory(CFI) in Yunnan Province,using multiple correspondence analysis methods to analyze the degree of influence of the spatial distribution of environmental impact factors on the spatial distribution of Pinus armandii forests,and sorting the impact degree,The results show that:1)In terms of horizontal zonality,the Pinus armandii forest is more distributed in central Yunnan,but the measured tree factors in northwestern Yunnan are higher than those in other regions.In terms of vertical zonality,the Pinus armandii forest fluctuates slightly in each elevation interval and has a large variance;2)The overall variance of spatial distribution of Pinus armandii forest is significantly different from that of large-scale environmental factors such as river basin,altitude and longitude,while the impact of small-scale environmental factors such as soil type,slope position,slope direction and gradient is relatively consistent;3)The spatial distribution environmental factors of Pinus armandii forest were ranked from large to small according to the degree of influence:sunshine>precipitation>latitude>humidity>longitude>soil>temperature>wind speed>soil thickness>aspect>slope position>altitude>slope.
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