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蛀干昆虫的寄主选择及其在森林健康评价中的应用     被引量:5

Host Selection of Xylophagous Insects and Its Application in Forest Health Evaluation

文献类型:期刊文献

中文题名:蛀干昆虫的寄主选择及其在森林健康评价中的应用

英文题名:Host Selection of Xylophagous Insects and Its Application in Forest Health Evaluation

作者:王健敏[1] 刘娟[1] 陈晓鸣[1] 杨子祥[1] 叶寿德[1]

第一作者:王健敏

机构:[1]中国林业科学研究院资源昆虫研究所,国家林业局资源昆虫培育与利用重点实验室,云南昆明650224

年份:2010

期号:1

起止页码:125-133

中文期刊名:林业科学研究

外文期刊名:Forest Research

收录:CSTPCD;;Scopus;北大核心:【北大核心2008】;CSCD:【CSCD2011_2012】;

基金:云南省应用基础研究重点项目“利用蛀干昆虫诊断森林健康研究”(2006C0015Z);国家林业局948项目(2009-4-37);国家林业局林业公益性行业专项项目(200804001)

语种:中文

中文关键词:蛀干昆虫;寄主选择;指示昆虫;森林健康诊断

外文关键词:xylophagous insect; host selection; indicative insect; forest health diagnosis

分类号:S718.7

摘要:森林健康关系到其生态系统的稳定性。各国森林健康问题的侧重点不同,森林健康评价标准和诊断方法不统一,特别是亚健康森林的早期诊断仍然是亟待解决的科学难题。本文综述了蛀干昆虫对寄主植物选择机制和规律的国内外研究进展及其在森林健康评价中的应用前景,根据蛀干昆虫中次期性种类总是与亚健康和衰弱林木相伴的规律,提出了利用蛀干昆虫早期诊断和评价森林健康的思路,以蛀干昆虫种群数量与林木健康状况的相互关系为主,辅以物种间相互作用关系(群落结构、生物多样性)、环境因子(气候变化、土壤性质)等建立数学模型,定量分析和综合评价森林健康及其发展趋势。
Forest is an important component part of ecosystem and therefore forest health is crucial to the stability of ecosystem. However, different countries has different emphases on and diagnostic methods of forest health are inconsistency, especially forest health, furthermore, evaluation criteria diagnosing sub-healthy forest betimes is still a scientific problem need to be solved urgently. The paper reviewed the host selection mechanisms and rules of xylophagous insects and their application foreground in forest health evaluation. According to the rule that some secondary xylophagous insects always accompany with trees which are sub-healthy or unhealthy, and evaluating forest health betimes using xylophagous insects were posed. Mathematical ideas of diagnosing models would be established based mainly on interactions between quantity of xylophagous insect populations and status of forest health, interspecific interactions ( community structure, biodiversity) and environmental factors ( climatic change, soil property ) were also added as supplementary parameters, in order to quantitatively analyzing and comprehensively evaluating forest health and its developing trend.

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