首页> 外文会议>The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)论文集 >Distribution, composition and diversity of restoration vegetation on Tudiling Giant Panda Corridor in the upper reaches of Minjiang River, SW China
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Distribution, composition and diversity of restoration vegetation on Tudiling Giant Panda Corridor in the upper reaches of Minjiang River, SW China

机译:中国西南Min江上游图灵大熊猫回廊的恢复植被分布,组成和多样性

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Tudiling Giant Panda Corridor, is the typical region of the Giant Panda Corridor habitat and the vegetation degradation in the upper Minjiang River basin, in which the effects of the existing disturbance regimes on plant communities after the vegetation restoration in the 1980s were assessed, and the distribution, composition and species diversity of restoration vegetation were analyzed using the transect sampling method, TWINSPAN and DCA. The results were as follows: At present, a total of 234 plant species representing 145 genera and 58 families were recorded at all plots. By means of TWINSPAN, DCA and disturbance identification, restoration vegetation could be divided into 6 major types (2 natural communities and 4 artificial communities accounting for different anthropogenic disturbances, respectively). DCA figure represented a disturbance gradient that increased from the bottom to the top along the second DCA axis. Species richness and Shannon-Wiener index in artificial communities markedly decreased as the intensity of disturbance increased. Heavy disturbance resulted in low diversity and inhibited regeneration because of the failure of tree establishment, growth, and survival during regeneration. Species diversity was higher in artificial undisturbed community than in natural undisturbed community. Therefore, high diverse mixed species in restoration and avoiding strong disturbance in this region can accelerate succession and maintain high species richness and diversity.
机译:图们岭大熊猫走廊是Min江上游流域大熊猫栖息地和植被退化的典型区域,在此地区评估了1980年代植被恢复后现有扰动机制对植物群落的影响,并采用样点采样法TWINSPAN和DCA分析了恢复植被的分布,组成和物种多样性。结果如下:目前,在所有样地上共记录了234种植物,分别代表145个属和58个科。通过TWINSPAN,DCA和干扰识别,恢复植被可分为6种主要类型(分别考虑了不同的人为干扰的2种自然群落和4种人工群落)。 DCA数字表示沿第二DCA轴从底部到顶部增加的扰动梯度。随着干扰强度的增加,人工群落的物种丰富度和Shannon-Wiener指数显着下降。由于树木在重建过程中的建立,生长和存活失败,严重的干扰导致多样性低并抑制了再生。人工无干扰群落的物种多样性高于自然无干扰群落。因此,在该地区恢复和避免强烈干扰的高多样性混合物种可以加速演替并保持物种的丰富度和多样性。

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