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Quantitative classification and carbon density of the forest vegetation in Lüliang Mountains of China

机译:吕梁山森林植被的数量分类和碳密度

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摘要

Forests play a major role in global carbon (C) cycle, and the carbon density (CD) could reflect its ecological function of C sequestration. Study on the CD of different forest types on a community scale is crucial to characterize in depth the capacity of forest C sequestration. In this study, based on the forest inventory data of 168 field plots in the study area (E 111°30′–113°50′, N 37°30′–39°40′), the forest vegetation was classified by using quantitative method (TWINSPAN); the living biomass of trees was estimated using the volume-derived method; the CD of different forest types was estimated from the biomass of their tree species; and the effects of biotic and abiotic factors on CD were studied using a multiple linear regression analysis. The results show that the forest vegetation in this region could be classified into 9 forest formations. The average CD of the 9 forest formations was 32.09 Mg ha?1 in 2000 and 33.86 Mg ha?1 in 2005. Form. Picea meyeri had the highest CD (56.48 Mg ha?1), and Form. Quercus liaotungensis + Acer mono had the lowest CD (16.14 Mg ha?1). Pre-mature forests and mature forests were very important stages in C sequestration among four age classes in these formations. Forest densities, average age of forest stand, and elevation had positive relationships with forest CD, while slope location had negative correlation with forest CD.
机译:森林在全球碳(C)循环中起主要作用,碳密度(CD)可以反映其固碳的生态功能。对社区规模的不同森林类型的CD进行研究对于深入表征森林固碳能力至关重要。在这项研究中,基于研究区域(E 111°30′–113°50′,N 37°30′–39°40′)168个样地的森林清查数据,使用定量方法对森林植被进行了分类。方法(TWINSPAN);树木的生物量采用体积推导法估算。根据树木的生物量估算不同森林类型的CD;并使用多元线性回归分析研究了生物因子和非生物因子对CD的影响。结果表明,该地区的森林植被可分为9种林型。这9种林地的平均CD在2000年为32.09 Mg ha?1 ,在2005年为33.86 Mg ha?1 。云杉云杉的CD和形态最高(56.48 Mg ha?1 )。辽东栎+ Acer mono的CD最低(16.14 Mg ha?1 )。在这些地层的四个年龄类别中,早熟森林和成熟森林是固碳的重要阶段。森林密度,林分平均年龄和海拔高度与森林CD呈正相关,而坡位与森林CD呈负相关。

著录项

  • 来源
    《Plant Ecology》 |2009年第1期|1-9|共9页
  • 作者单位

    Institute of Loess Plateau Shanxi University 580 Wucheng Road Taiyuan 030006 People’s Republic of China;

    Institute of Loess Plateau Shanxi University 580 Wucheng Road Taiyuan 030006 People’s Republic of China;

    Guandi Mountain State-Owned Forest Management Bureau of Shanxi Province Jiaocheng Lishi 032104 People’s Republic of China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    TWINSPAN; Carbon density; Volume-derived method; Forest vegetation; China;

    机译:TWINSPAN;碳密度;体积法;森林植被;中国;

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