Rahbek C, Graves G R
Zoological Museum, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen O, Denmark.
Proc Biol Sci. 2000 Nov 22;267(1459):2259-65. doi: 10.1098/rspb.2000.1277.
Scale is widely recognized as a fundamental conceptual problem in biology, but the question of whether species-richness patterns vary with scale is often ignored in macro-ecological analyses, despite the increasing application of such data in international conservation programmes. We tested for scaling effects in species-richness gradients with spatially scaled data for 241 species of South American hummingbirds (Trochilidae). Analyses revealed that scale matters above and beyond the effect of quadrat area. Species richness was positively correlated with latitude and topographical relief at ten different spatial scales spanning two orders of magnitude (ca. 12,300 to ca. 1,225,000 km2). Surprisingly, when the influence of topography was removed, the conditional variation in species richness explained by latitude fell precipitously to insignificance at coarser spatial scales. The perception of macro-ecological pattern thus depends directly upon the scale of analysis. Although our results suggest there is no single correct scale for macro-ecological analyses, the averaging effect of quadrat sampling at coarser geographical scales obscures the fine structure of species-richness gradients and localized richness peaks, decreasing the power of statistical tests to discriminate the causal agents of regional richness gradients. Ideally, the scale of analysis should be varied systematically to provide the optimal resolution of macro-ecological pattern.
尺度被广泛认为是生物学中的一个基本概念性问题,但尽管此类数据在国际保护项目中的应用日益增加,物种丰富度模式是否随尺度变化的问题在宏观生态分析中却常常被忽视。我们利用南美洲241种蜂鸟(蜂鸟科)的空间尺度数据,测试了物种丰富度梯度中的尺度效应。分析表明,尺度的影响超出了样方面积的影响。在跨越两个数量级(约12300至约1225000平方千米)的十个不同空间尺度上,物种丰富度与纬度和地形起伏呈正相关。令人惊讶的是,当去除地形的影响后,在较粗的空间尺度上,由纬度解释的物种丰富度的条件变化急剧下降至不显著。因此,对宏观生态模式的认知直接取决于分析的尺度。尽管我们的结果表明,对于宏观生态分析不存在单一正确的尺度,但在较粗的地理尺度上样方抽样的平均效应掩盖了物种丰富度梯度的精细结构和局部丰富度峰值,降低了统计检验区分区域丰富度梯度因果因素的能力。理想情况下,分析尺度应系统变化,以提供宏观生态模式的最佳分辨率。