南京林业大学学报(自然科学版) ›› 2018, Vol. 42 ›› Issue (02): 177-183.doi: 10.3969/j.issn.1000-2006.201703105

• 综合述评 • 上一篇    下一篇

森林健康评价方法综述

王秋燕1,陈鹏飞1,李学东2,冯 岩3,宋新宇4,符利勇1*   

  1. 1.中国林业科学研究院资源信息研究所,北京 100091; 2.中国林业科学研究院华北林业实验中心, 北京 102300; 3.中国林业科学研究院,北京 100091; 4. 信阳师范学院数学系,河南 信阳 464000
  • 出版日期:2018-04-12 发布日期:2018-04-12
  • 基金资助:
    基金项目:国家林业公益性行业科研专项项目(201404417); 河南省科技开放合作项目(172106000071) 第一作者:王秋燕(875860967@qq.com)。*通信作者:符利勇(fuliyong840909@163.com),副研究员。

Review of forest health assessment methods

WANG Qiuyan1,CHEN Pengfei1,LI Xuedong2,FENG Yan3, SONG Xinyu4,FU Liyong 1*   

  1. 1.Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091, China; 2. Forestry Experiment Center of North China, Chinese Academy of Forestry, Beijing 102300, China; 3. Chinese Academy of Forestry,Beijing 100091, China; 4. Department of Mathematics, Xinyang Normal University,Xinyang 464000, China
  • Online:2018-04-12 Published:2018-04-12

摘要: 围绕森林健康评价方法,介绍了森林健康和森林健康评价的概念,在此基础上详细分析和评价了11种常见的森林健康评价方法的研究现状和特点,并从研究尺度和优缺点方面对各种评价方法进行了对比。结果表明:主成分分析法、层次分析法和综合指数评价法应用较多; 评价方法不同,评价结果会有明显的差异; 目前的评价主要针对森林健康现状的评价。在进行森林健康评价时,针对不同的森林类型应具体问题具体分析,选取合适的方法进行森林健康评价; 评价方法不仅要着眼于现状,还应能够预测森林健康未来发展趋势。

Abstract: Abstract: This paper was focused on forest health assessment methods. First, the concept of forest health and forest health evaluation were introduced. Then, the concepts, research statuses, and advantages as well as disadvantages of 11 common forest health assessment methods were analyzed and evaluated. It was found that the principal component analysis, the analytic hierarchy process, and the comprehensive index evaluation method were used more frequently; with different evaluation methods, the evaluation results were significantly different; the current review is focused on the evaluation of the status. In a forest health assessment, it is suggested that the specific problems should be analyzed, and from these, the appropriate method for the forest health assessment should be selected. Evaluation methods should not only focus on the status, but also should be able to predict the future trends of forest health.

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