首页> 美国卫生研究院文献>Journal of Insect Science >Quantitative Classification and Environmental Interpretation of Secondary Forests 18 Years After the Invasion of Pine Forests byBursaphelenchus xylophilus(Nematoda: Aphelenchoididae) in China
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Quantitative Classification and Environmental Interpretation of Secondary Forests 18 Years After the Invasion of Pine Forests byBursaphelenchus xylophilus(Nematoda: Aphelenchoididae) in China

机译:松材线虫入侵18年后次生林的数量分类和环境解释。松材线虫(线虫:Ap科)在中国

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摘要

With growing concerns over the serious ecological problems in pine forests ( Pinus massoniana , P. thunbergii ) caused by the invasion of Bursaphelenchus xylophilus (the pine wood nematode), a particular challenge is to determine the succession and restoration of damaged pine forests in Asia. We used two-way indicator species analysis and canonical correlation analysis for the hierarchical classification of existing secondary forests that have been restored since the invasion of B. xylophilus 18 years ago. Biserial correlation analysis was used to relate the spatial distribution of species to environmental factors. After 18 years of natural recovery, the original pine forest had evolved into seven types of secondary forest. Seven environmental factors, namely soil depth, humus depth, soil pH, aspect, slope position, bare rock ratio, and distance to the sea, were significantly correlated with species distribution. Furthermore, we proposed specific reform measures and suggestions for the different types of secondary forest formed after the damage and identified the factors driving the various forms of restoration. These results suggest that it is possible to predict the restoration paths of damaged pine forests, which would reduce the negative impact of B. xylophilus invasions.
机译:人们越来越担心由松材线虫(松木线虫)的入侵引起的松树林(马尾松,松柏)严重的生态问题,特别的挑战是确定亚洲受损松树林的继承和恢复。自从18年前B. xylophilus入侵以来已恢复的现有次生林的分级分类,我们使用了双向指示剂物种分析和典范相关分析。双生相关分析用于将物种的空间分布与环境因素相关联。经过18年的自然恢复,原始的松树林已演变成7种次生林。土壤深度,腐殖质深度,土壤pH,纵横比,斜坡位置,裸岩比和出海距离这七个环境因素与物种分布显着相关。此外,我们针对受损后形成的不同类型的次生林提出了具体的改革措施和建议,并确定了导致各种形式恢复的因素。这些结果表明,有可能预测受损松树林的恢复路径,这将减少木糖双歧杆菌入侵的负面影响。

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