摘要
利用GIS技术结合常规统计法、主成分分析法、层次分析法(AHP)、模糊综合评判法构建模糊综合评价模型,对黄杉在云南的集中分布区滇东北的宣威市和会泽县开展生长适宜性研究,预测黄杉在研究区域的潜在分布,找出研究区域适合培育人工黄杉林的宜林地。研究结果表明,研究区域适宜黄杉生长的面积为553128 hm^(2),占研究区域面积的46.33%;在研究区域内筛选出适宜营造黄杉林的宜林地10550.2 hm^(2)。通过GIS技术分析所得结果与天然黄杉林的实际分布情况较符合,说明基于GIS技术预测黄杉潜在分布区域和筛选适宜营造黄杉的造林地是可行的。
This paper used GIS technology combined with conventional statistical methods,principal component analysis,analytic hierarchy process(AHP),and fuzzy comprehensive evaluation method to construct a fuzzy comprehensive evaluation model to study the growth suitability of Pseudotsuga sinensis in the concentrated distribution areas of Yunnan,including Xuanwei City and Huize County in northeast Yunnan.The potential distribution of Pseudotsuga sinensis in the study area was predicted,and suitable forest areas for cultivating artificial Pseudotsuga sinensis forests were identified.The results showed that the suitable area for Pseudotsuga sinensis growth in the study area was 553128 hm^(2),accounting for 46.33%of the area.At the same time,10550.2 hm^(2)forest land suitable for planting Pseudotsuga sinensis forest was selected in the study area.The results obtained through the analysis of GIS technology were more consistent with the actual distribution of natural Pseudotsuga sinensis forests,indicating that it was feasible to predict the potential distribution areas of Pseudotsuga sinensis based on GIS technology and to screen suitable plantation land for Pseudotsuga sinensis.
作者
李继品
岳彩荣
孟翠萍
鲜明睿
程文龙
刘燕婕
刘晓波
LI Jipin;YUE Cairong;MENG Cuiping;XIAN Mingrui;CHENG Wenlong;LIU Yanjie;LIU Xiaobo(Southwest Investigation and Planning Institute of National Forestry and Grassland Administration,Kunming 650031,China;Southwest Forestry University,Kunming 650224,China;Yunnan Hubai Environmental Protection Technology Co.,Ltd.,Kunming 650034,China)
出处
《林业调查规划》
2023年第4期13-23,共11页
Forest Inventory and Planning
关键词
黄杉
生长适宜性
潜在分布
宜林地
GIS
隶属度函数
模糊综合评价模型
滇东北
Pseudotsuga sinensis
growth suitability
potential distribution
suitable forest land
GIS
membership function
fuzzy comprehensive evaluation model
northeast Yunnan