俄亥俄州东南部橡山核桃林中板栗栎(Quercus prinus)和黑栎(Quercus velutina)叶片单宁的变化模式与地形的关系

J. Reed, B. Mccarthy, J. Reed, B. Mccarthy
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引用次数: 8

摘要

在低光照和高营养的环境中。为了验证这一假设,我们利用蛋白质沉淀法对两种栎树(栎属栎)叶片单宁化学模式进行了研究。树叶是在俄亥俄州东南部的橡树山核桃林中发现的成熟的、森林生长的树冠树的样本。为了评估环境的影响,我们沿着自然梯度取样,使用南北向斜坡的树木进行对比。为了评估种群间单宁丰度的变化模式,我们从三个不同的地点取样了多棵树。因此,对数据进行了分析,以确定坡向和人口的变化模式。南坡栎树叶片单宁含量显著高于北坡栎树,但种群间单宁含量差异不显著。相比之下,南、北坡上的黄芪叶片单宁含量差异不显著,但种群间单宁含量存在显著差异。不同的物种对与地形有关的环境胁迫有不同的反应。在景观尺度上,环境可能对叶片单宁含量有相当大的影响。然而,在某些情况下,种群也可能导致变异,在评估次生植物代谢物分布模式和/或植物-动物相互作用时需要考虑。
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Patterns of leaf tannin variation in chestnut oak (Quercus prinus) and black oak (Quercus velutina) with respect to topography in a southeastern Ohio oak-hickory forest1
in low light and high nutrient environments. To test this hypothesis, we evaluated the patterns of leaf tannin chemistry in two species of oak (Quercus velutina L. and Q. prinus L.) utilizing protein precipitation methods. Leaves were sampled from mature, forest-grown, canopy trees found in a southeastern Ohio oak-hickory forest. To evaluate the effects of environment, we sampled along a natural gradient using trees from contrasting northand south-facing slopes. To assess the patterns of variation in tannin abundance among populations, we sampled multiple trees from three different sites. Thus, data were analyzed for patterns of variation with respect to slope aspect and population. Quercus prinus trees growing on south-facing slopes had significantly greater amounts of leaf tannins than those on north-facing slopes but did not exhibit significant population differences in foliar tannin content. In contrast, Q. velutina trees on north- and south-facing slopes did not differ significantly in foliar tannin content but did exhibit significant population differences in foliar tannin content. Different species may have varying responses to the environmental stress associated with topography. Environment may have a considerable effect on leaf tannin content at the landscape scale. However, in some cases, populations may also contribute to variation and need to be considered when evaluating patterns of secondary plant metabolite distribution and/or plant-animal interactions.
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