Lekve Kyrre, Ellingsen Kari E, Lingjaerde Ole Chr, Gjøsaeter Jakob, Stenseth Nils Chr
Department of Biology, Centre for Ecological and Evolutionary Synthesis, University of Oslo, P.O. Box 1050, Blindern, Oslo, 0316, Norway.
Oecologia. 2005 Jun;144(2):308-17. doi: 10.1007/s00442-005-0049-9. Epub 2005 May 11.
We assessed the performance of two estimators of species richness, the Chao2 and the Coleman 'random placement curve'. Using a dataset of intertidal fish from the Norwegian Skagerrak coast, we found that Chao2 was effective for low sampling intensity, often reaching asymptotic values for few samples, but for higher sampling intensity the performance deteriorated. For large samples, the Coleman random placement curve was more effective than the Chao2 estimates when comparing spatio-temporal patterns of species richness. Spatial patterns were clearly and consistently identified by both methods, whereas the coastal fish communities displayed too much variability in the early summer for any sensible measure of temporal patterns of fish-species richness to be made. To control for spurious results due to systematic differences in mean abundance of the samples the analyses were performed also on data standardised by the number of individuals in the samples, without any significant change in the results. We conclude that modest sampling effort is sufficient to characterise spatial patterns of coastal fish-species richness, while a detailed and high-precision description of seasonal patterns could not be obtained with any reasonable sampling effort.
我们评估了两种物种丰富度估计方法的性能,即Chao2法和科尔曼“随机放置曲线”法。利用挪威斯卡格拉克海岸潮间带鱼类数据集,我们发现Chao2法在低采样强度下效果良好,通常少量样本就能达到渐近值,但在高采样强度下性能会变差。对于大量样本,在比较物种丰富度的时空模式时,科尔曼随机放置曲线比Chao2估计更有效。两种方法都能清晰且一致地识别空间模式,而在初夏时,沿海鱼类群落变化太大,无法对鱼类物种丰富度的时间模式进行任何合理的测量。为了控制由于样本平均丰度的系统差异导致的虚假结果,我们还对按样本个体数量标准化的数据进行了分析,结果没有任何显著变化。我们得出结论,适度的采样工作足以描述沿海鱼类物种丰富度的空间模式,而用任何合理的采样工作都无法获得对季节性模式的详细且高精度的描述。