森林健康评价研究进展

Review on forest health assessment

森林健康评价是当前国内外十分关注的一个热点问题。开展森林健康评价,是进行森林健康管理的重要基础。本文从森林健康概念出发,明确了森林健康的内涵;森林健康评价主要以林分、森林类型及小班作为评价单元;评价指标主要由森林资源特征指标、灾害指标及社会经济指标构成。文中对森林健康评价模型优缺点进行了对比分析。森林健康评价趋向于定量化和可视化,诸如模糊综合评价、灰色关联度分析、人工神经网络等数学方法则逐渐被用于森林健康的定量评价。目前,森林健康评价在指标体系的构建和评价方法的选取上还有待进一步完善;形成一套量化的森林健康评价指标体系及加强森林健康评价技术和方法的对比研究,并长期进行森林健康动态监测评价是未来森林健康评价的发展方向。

Forest health assessment is currently a hot issue in forest ecology, which can provide useful information for forest management. This paper reviewed the recent researches on forest health assessment. Generally, the main forest health assessment units include stand, forest type, and sub-compartment, and the main indices are forest resources indicators, disasters indicators, and socio-economic indicators. The advantages and disadvantages of forest health assessment models were compared. Forest health assessment has the trend of quantification and visualization. Some mathematical methods such as fuzzy comprehensive evaluation （FCE）, grey relational analysis （GRA）, and artificial neural networks （ANN） are increasingly used for the quantitative assessment of forest health. At present, the selection of the assessment indicators and methods for forest health assessment should be further improved. To establish a set of quantitative indicators for forest health assessment, to strengthen the comparative study on assessment techniques and models, and to make a long term dynamic monitoring and assessment would be the most important fields in forest health assessment.