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    郑东升, 刘琪璟. 环境因子对长白山自然保护区森林群落分布的影响[J]. 北京林业大学学报, 2023, 45(8): 57-64. DOI: 10.12171/j.1000-1522.20220086
    引用本文: 郑东升, 刘琪璟. 环境因子对长白山自然保护区森林群落分布的影响[J]. 北京林业大学学报, 2023, 45(8): 57-64. DOI: 10.12171/j.1000-1522.20220086
    Zheng Dongsheng, Liu Qijing. Effects of environmental factors on forest community distribution in Changbai Mountain Nature Reserve of northeastern China[J]. Journal of Beijing Forestry University, 2023, 45(8): 57-64. DOI: 10.12171/j.1000-1522.20220086
    Citation: Zheng Dongsheng, Liu Qijing. Effects of environmental factors on forest community distribution in Changbai Mountain Nature Reserve of northeastern China[J]. Journal of Beijing Forestry University, 2023, 45(8): 57-64. DOI: 10.12171/j.1000-1522.20220086

    环境因子对长白山自然保护区森林群落分布的影响

    Effects of environmental factors on forest community distribution in Changbai Mountain Nature Reserve of northeastern China

    • 摘要:
        目的  利用数量生态学的方法解析长白山自然保护区森林群落的物种组成及其与环境因子之间的关系,为该区森林生态系统的保护及可持续经营提供科学依据,并为同类研究提供参考和借鉴。
        方法  借助影像资料,在长白山自然保护区从海拔750 m至1 850 m沿道路从不同坡向共选取40个样点,并于2021年8—9月进行群落学调查。基于该调查数据,计算各样地不同物种的重要值,而后采用双向指示种分析(TWINSPAN)、去趋势对应分析(DCA)将样地划分为不同的群落类型,最后结合环境数据采用典范对应分析(CCA)、变差分解探索群落的分布与环境因子之间的关系。
        结果  (1)结合TWINSPAN和DCA将样地划分为9种森林群落类型。(2)CCA排序结果较好地反映了群落与环境的关系,选取的10个环境因子中,海拔、坡度、年均温、平均昼夜温差、等温性、气温季节性变动系数、气温年较差、年降水量、降水量季节变化9个因子对群落分布的影响较大。(3)变差分解结果显示10个环境因子总解释量为46.8%,其中地形因子的解释部分为8.0%,气候因子的解释部分为29.1%,共同解释部分为9.7%,未能解释部分为53.2%。
        结论  在长白山所调查的范围主要包括9种森林群落类型,海拔所引起的水热条件变化是影响其分布的主要环境因素,未能解释部分与群落组成的复杂性及数据中土壤特性等环境因子的缺失有关。

       

      Abstract:
        Objective  The species composition of forest community in Changbai Mountain Nature Reserve of northeastern China and its relationship with environmental factors were analyzed by the method of quantitative ecology, providing scientific basis for protection and sustainable management of forest ecosystems in the region, and providing references for similar researches.
        Method  With the help of remote sensing data, a total of 40 sample points were selected from 750 m to 1 850 m above sea level in the Changbai Mountain Nature Reserve in different slope aspects along roads, and community surveys were carried out from August to September 2021. Based on the survey data, the importance values of different species in the sample plots were calculated. Then the two-way indicator species analysis (TWINSPAN) and detrended correspondence analysis (DCA) were used to divide the sample plots into different community types. Finally, combining with environmental data, the canonical correspondence analysis (CCA) and variation partitioning were used to explore relationships between the distribution of communities and environmental factors.
        Result  (1) According to the results of TWINSPAN and DCA, the 40 sample plots were classified into 9 community types. (2) The CCA ranking results well reflected the relationship between community distribution and environmental factors. Among the 10 selected environmental factors, altitude, slope, annual mean temperature, isothermality, temperature seasonality, mean diurnal range, annual precipitation, precipitation seasonality, temperature annual range had greater impacts on species distribution. (3) The results of variational partitioning showed that these 10 tested factors could explain 46.8% variation of species distribution. Among these factors, topography, climate and their interaction respectively accounted for 8.0%, 29.1% and 9.7% of the variation, while 53.2% of the variation was unexplained.
        Conclusion  The investigated area in Changbai Mountain mainly includes 9 types of forest communities, and the alteration of hydrothermal conditions caused by altitude is the main environmental factor affecting community distribution. The unexplained part is concerned to be associated with the complexity of community composition as well as the lack of environmental information such as soil properties etc.

       

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