Additive partitioning of plant species diversity in an agricultural mosaic landscape
Additive partitioning of plant species diversity in an agricultural mosaic landscape
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DOI：
10.1023/a:1008114117913
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发表时间：
2000-04
影响因子：
5.2
通讯作者：
H. Wagner;O. Wildi;K. Ewald
中科院分区：
文献类型：
--
作者：
H. Wagner;O. Wildi;K. Ewald
在此基础上，我们将景观物种多样性划分为可加性成分，并将其与斑块特异性多样性联系起来，量化了生境变异性和生境异质性的影响。该方法以瑞士中部的一个案例研究为例进行了说明，在那里，我们在0.23平方公里的总面积内，在1'280个1平方米的分层随机样本中记录了维管植物物种的存在。我们在样方、斑块、生境类型和景观4个尺度水平上对物种丰富度、Shannon指数和Simpson多样性3个多样性指标进行了分析。该模型表明，我们在较高尺度上衡量的群落内多样性是各种较低水平异质性的综合效应。结果表明，个体多样性组成的比例取决于生境类型和所选择的多样性方面。在斑块水平上，一种生境类型的多样性可能比另一种生境类型的多样性更大，但在生境类型水平上，多样性可能更小。景观组成是解释景观物种丰富度的关键因素，但对均匀度影响不大。在我们能够测试景观结构对景观物种丰富度的影响之前，必须解决几个问题。这包括纳入邻域效应、物种丰富度成分的无偏估计和景观要素对景观物种丰富度的贡献的量化。
In this paper, we quantify the effects of habitat variability and habitat heterogeneity based on the partitioning of landscape species diversity into additive components and link them to patch-specific diversity. The approach is illustrated with a case study from central Switzerland, where we recorded the presence of vascular plant species in a stratified random sample of 1'280 quadrats of 1 m2within a total area of 0.23 km2. We derived components of within- and between-community diversity at four scale levels (quadrat, patch, habitat type, and landscape) for three diversity measures (species richness, Shannon index, and Simpson diversity). The model implies that what we measure as within-community diversity at a higher scale level is the combined effect of heterogeneity at various lower levels. The results suggest that the proportions of the individual diversity components depend on the habitat type and on the chosen diversity aspect. One habitat type may be more diverse than another at patch level, but less diverse at the level of habitat type. Landscape composition apparently is a key factor for explaining landscape species richness, but affects evenness only little. Before we can test the effect of landscape structure on landscape species richness, several problems will have to be solved. These include the incorporation of neighbourhood effects, the unbiased estimation of species richness components, and the quantification of the contribution of a landscape element to landscape species richness.