秦岭山地天然次生林群落MRT数量分类、CCA排序及多样性垂直格局
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西北农林科技大学生命科学学院,西北农林科技大学生命科学学院,西北农林科技大学生命科学学院,西北农林科技大学生命科学学院,西北农林科技大学生命科学学院

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2017年中医药公共卫生服务补助专项"全国中药资源普查项目"(财社[2017]66号)


Quantitative classification of MRT, CCA ordination, and species diversity along elevation gradients of a natural secondary forest in the Qinling mountains
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College of Life Science,Northwest A&F University,,,,college of Life Science,Northwest Agriculture and Forestry University

Fund Project:

2017 Public Health Service Grant for Traditional Chinese Medicine

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    摘要:

    采用多元回归树(MRT)对秦岭山地天然次生林群落进行数量分类,采用典范对应分析(CCA)进行排序,分析了秦岭山地天然次生林群落物种多样性沿海拔梯度的变化规律。结果表明:(1)275个样方共有种子植物195种,隶属61科128属。乔、灌、草3个层次物种多样性变化沿海拔梯度的变化趋势基本一致,呈单峰模型;(2)经交叉验证认为秦岭山地天然次生林群落可分为2类,Ⅰ冬瓜杨(Populus purdomii)+陇东海棠(Malus kansuensis)+蛇莓(Duchesnea indica)群落,Ⅱ锐齿槲栎(Quercus aliena var.acuteserrata)+黄栌(Cotinus coggygria)+茜草(Rubia cordifolia)群落;(3)CCA排序结果揭示了群落生境的分布范围,反映出生态轴的排序意义,较好地反映秦岭山地天然次生林群落与环境因子的关系,其结果表明,海拔、坡向、凋落层厚度和干扰情况4个变量对该地区次生林群落的分布有较大的影响。

    Abstract:

    The quantitative analysis of species diversity, forest community classification, and ordination are the basis for secondary forest vegetation protection and restoration, and therefore, has fundamental theoretical significance. Forest community classification, ordination, and species diversity along elevation gradients can reveal the relationships between species distribution and environmental factors, and can provide an important basis for understanding the function of mountain ecosystems. Zhouzhi Nature Reserve is located in the middle of the North slope of the Qinling mountains. It is rich in species diversity, and the vegetation is representative and typical of the area. In this study, we collected data from five sites along the elevation gradient, and aimed to determine the relationships of different forest communities and the environment, and the variation of species diversity along the elevation gradient. The diversity was analyzed using the richness, Shannon-Wiener, and Pielou indexes to represent the diversity of forest vegetation communities at all levels; the forest community was classified using multiple regression trees (MRT), and ordination using canonical correspondence analysis (CCA). Results were as follows:(1) There were 195 plant species belonging to 61 families and 128 genera in 25 plots; Gramineae and Compositae were the dominant families. The species diversity variation along the elevation gradient was similar, showing a significant unimodal distribution pattern, and as the elevation increased, it reached a maximum value of 1600-1800 m, then decreased. The forest community structure and vertical pattern of species diversity varied with the elevation gradient, revealing a significant biodiversity environment gradient variation relationship; (2) Through the MRT analysis, we found the forest community was divided into two categories by cross validation:1. Populus purdomii + Malus kansuensis + Duchesnea indica, 2. Quercus aliena var. acuteserrata + Cotinus coggygria + Rubia cordifolia; (3) The results of CCA clearly reflected the distribution range of various community types and better reflected relationships between species distribution and environmental factors. In addition, elevation, aspect, litter layer thickness, and disturbance were important factors that affected the distribution patterns of secondary forests in the region. The first axis of CCA was mainly related to elevation and litter layer thickness, and the second axis was mainly related to aspect. Classification focused on revealing the intermittent communities, but ordination focused on revealing community continuity. Therefore, their combination effectively described the community. The results of vertical variation patterns of species diversity along elevation gradients were helpful to reveal the characteristics of spatial distribution patterns and ecological adaptability of different species. However, the results of the MRT and CCA showed that the environmental factors investigated in this study contributed little to the quantitative classification and sequencing of communities. Therefore, in future studies, more environmental factors should be measured and more data should be extracted to provide a more comprehensive explanation of the relationship between community distribution and environmental factors.

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钟娇娇,陈杰,陈倩,姬柳婷,康冰.秦岭山地天然次生林群落MRT数量分类、CCA排序及多样性垂直格局.生态学报,2019,39(1):277~285

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