Colwell R K, Coddington J A
Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs 06269-3042.
Philos Trans R Soc Lond B Biol Sci. 1994 Jul 29;345(1311):101-18. doi: 10.1098/rstb.1994.0091.
Both the magnitude and the urgency of the task of assessing global biodiversity require that we make the most of what we know through the use of estimation and extrapolation. Likewise, future biodiversity inventories need to be designed around the use of effective sampling and estimation procedures, especially for 'hyperdiverse' groups of terrestrial organisms, such as arthropods, nematodes, fungi, and microorganisms. The challenge of estimating patterns of species richness from samples can be separated into (i) the problem of estimating local species richness, and (ii) the problem of estimating the distinctness, or complementarity, of species assemblages. These concepts apply on a wide range of spatial, temporal, and functional scales. Local richness can be estimated by extrapolating species accumulation curves, fitting parametric distributions of relative abundance, or using non-parametric techniques based on the distribution of individuals among species or of species among samples. We present several of these methods and examine their effectiveness for an example data set. We present a simple measure of complementarity, with some biogeographic examples, and outline the difficult problem of estimating complementarity from samples. Finally, we discuss the importance of using 'reference' sites (or sub-sites) to assess the true richness and composition of species assemblages, to measure ecologically significant ratios between unrelated taxa, to measure taxon/sub-taxon (hierarchical) ratios, and to 'calibrate' standardized sampling methods. This information can then be applied to the rapid, approximate assessment of species richness and faunal or floral composition at 'comparative' sites.
评估全球生物多样性任务的规模和紧迫性都要求我们充分利用通过估计和推断所掌握的知识。同样,未来的生物多样性清查需要围绕有效的采样和估计程序来设计,特别是对于陆地生物的“高度多样化”群体,如节肢动物、线虫、真菌和微生物。从样本中估计物种丰富度模式的挑战可分为:(i)估计局部物种丰富度的问题,以及(ii)估计物种组合的独特性或互补性的问题。这些概念适用于广泛的空间、时间和功能尺度。局部丰富度可以通过推断物种积累曲线、拟合相对丰度的参数分布或使用基于个体在物种间分布或物种在样本间分布的非参数技术来估计。我们介绍其中几种方法,并以一个示例数据集检验它们的有效性。我们给出一种简单的互补性度量方法,并列举一些生物地理学实例,概述从样本中估计互补性的难题。最后,我们讨论使用“参考”地点(或子地点)来评估物种组合的真实丰富度和组成、测量不相关分类单元之间具有生态意义的比率、测量分类单元/亚分类单元(层次)比率以及“校准”标准化采样方法的重要性。然后,这些信息可应用于对“比较”地点的物种丰富度以及动植物组成进行快速、近似的评估。