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基于NFI和DEM数据的浙江森林立地分类研究
引用本文:李培琳, 韦新良, 汤孟平. 基于NFI和DEM数据的浙江森林立地分类研究[J]. 西南林业大学学报, 2018, 38(3): 137-144.doi:10.11929/j.issn.2095-1914.2018.03.020
作者姓名:李培琳  韦新良  汤孟平
作者单位:1. 省部共建亚热带森林培育国家重点实验室,浙江 临安 311300;2. 浙江农林大学环境与资源学院,浙江 临安 311300
基金项目:
摘要:以2009年浙江省森林资源连续清查数据及同步获取的数字高程数据为数据源,依据土壤类型划分立地类型组,分别采用坡位指数、坡向角对坡位、坡向进行赋值,进一步分别对各立地类型组中的海拔、坡向、坡度、坡位、土层厚度、腐殖质厚度和枯落物厚度7个立地因子进行主成分分析,确定主导立地因子,依据主导立地因子划分立地类型。结果表明:浙江省森林立地可划分为7个立地类型组、400个立地类型,实现了更为精准的立地分类,可为造林规划、抚育更新、林业生态建设等提供参考依据。
摘    要:以2009年浙江省森林资源连续清查数据及同步获取的数字高程数据为数据源,依据土壤类型划分立地类型组,分别采用坡位指数、坡向角对坡位、坡向进行赋值,进一步分别对各立地类型组中的海拔、坡向、坡度、坡位、土层厚度、腐殖质厚度和枯落物厚度7个立地因子进行主成分分析,确定主导立地因子,依据主导立地因子划分立地类型。结果表明:浙江省森林立地可划分为7个立地类型组、400个立地类型,实现了更为精准的立地分类,可为造林规划、抚育更新、林业生态建设等提供参考依据。

关 键 词:立地分类   主成分分析   森林资源   清查   坡位指数
收稿时间:2017-12-06

Forest Site Classification Based on NFI and DEM in Zhejiang Province
Peilin Li, Xinliang Wei and Mengping Tang. Forest Site Classification Based on NFI and DEM in Zhejiang Province[J]. Journal of Southwest Forestry University, 2018, 38(3): 137-144.doi:10.11929/j.issn.2095-1914.2018.03.020
Authors:Peilin Li  Xinliang Wei  Mengping Tang
Affiliation:1. State Co-constructing Key Laboratory of Subtropical Silviculture, Lin′an Zhejiang 311300, China;2. School of Environmental & Resources Science, Zhejiang A & F University, Lin′an Zhejiang 311300, China
Abstract:Based on national forest inventory data (NFI) in Zhejiang Province in 2009 and the digital elevation data (DEM) obtained synchronously as the data source, according to the soil type, the site type group was divided, and the slope position index and slope direction angle were used to assign the slope position and slope direction, respectively. The principal component analysis of the site factors of elevation, slope direction, slope, slope position, soil thickness, humus thickness, and litter thickness in each site type group was performed to determine the dominant site factor, and the site type was divided according to the dominant site factor. Results show that the forest site in Zhejiang Province can be divided into 7 site type groups and 400 site types, which can achieve more accurate site classification, and provide reference basis for afforestation planning, tending and renewal, and forestry ecological construction.
Keywords:site classification  principal component analysis  forest resources  inventory  slope index
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