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华北土石山区典型天然次生林森林健康预警机制研究

Research on warning mechanism of forest health in typical natural secondary mountain and stony forest communities of Northern China
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摘要 运用SPSS19.0软件,通过定量和定性分析,构建了北沟林场天然次生林森林生态系统健康预警指标体系,并将BP神经网络的基本原理与森林健康理论相结合,构建森林健康预警模型。应用森林健康预警模型对北沟林场天然次生林100个小班进行了森林健康预警。结果表明:北沟林场天然次生林大部分处于绿色警戒和蓝色警戒,健康情况良好。 Based on the combination of qualitative analysis and quantitative analysis, warning of forest health indicator system was established by SPSS 19.0 software. The basic principles of BP neural network and forest health theories were combined to establish the warning model of forest health. 100 subcompartments were studied by the waning model for forest health in the study area. The results showed that most of these forest subcompartments were in the range of the green and blue alert,the condition of study area was healthy.
出处 《广东农业科学》 CAS CSCD 北大核心 2012年第13期187-191,共5页 Guangdong Agricultural Sciences
基金 国家林业局林业公益性行业科技专项(200804022)
关键词 北沟林场 森林健康预警 主成分分析 BP神经网络 Beigou forest farm warning of forest health principal component analysis BP neural network
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