Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Environ Monit Assess. 2013 May;185(5):4077-85. doi: 10.1007/s10661-012-2850-3. Epub 2012 Aug 29.
Subsampling has been widely applied in the laboratory to process freshwater macroinvertebrate samples. Currently, many governmental agencies and research groups apply the fixed-count approach, targeting a number of individuals per sample, and at the same time keeping track of the number of quadrats (fraction of the sample) processed. However, fixed-area methods are still in use. The objective of this paper was to evaluate the reliability of macroinvertebrate taxonomic richness estimates developed from processing a standard number of subsampling quadrats (i.e., fixed-area approaches). We used a dataset from 18 tropical stream sites experiencing three different levels of human disturbance (most-, intermediate-, and least-disturbed). With 12 quadrats processed (half the sample), the collection curves started to stabilize, and for more than half of the sites studied, it was possible to sample at least 80 % of the total taxonomic richness of the sample. However, we observed that the minimum number of quadrats to achieve 80 % of taxonomic richness was strongly negatively correlated with the number of individuals collected in each site: the fewer the individuals in a sample, the greater the processed proportion of that sample needed to represent it properly. Thus our results indicate that for any given areal subsampling effort (any fixed fraction of the sample), samples with different numbers of individuals will be represented differently in terms of the proportion of the total number of taxa of the whole samples, those with greater numbers being overestimated and those with fewer numbers being underestimated. Therefore, we do not recommend the use of fixed-area subsampling methods alone if the main purpose is to measure and analyze taxonomic richness; instead, we encourage researchers to use fixed-count approaches for this purpose.
抽样已广泛应用于实验室,以处理淡水大型无脊椎动物样本。目前,许多政府机构和研究小组采用固定计数方法,目标是每个样本中的个体数量,并同时记录处理的方格数量(样本的一部分)。然而,固定面积方法仍在使用。本文的目的是评估从处理标准数量的抽样方格中得出的大型无脊椎动物分类丰富度估计值的可靠性(即固定面积方法)。我们使用了来自经历三种不同人类干扰水平(最干扰、中等干扰和最少干扰)的 18 个热带溪流站点的数据集。处理 12 个方格(样本的一半)后,采集曲线开始稳定,对于研究的大部分站点,至少可以对样本的 80%的总分类丰富度进行采样。然而,我们观察到,达到 80%分类丰富度所需的最小方格数与每个站点收集的个体数呈强烈负相关:样本中的个体越少,需要正确代表该样本的处理比例就越大。因此,我们的结果表明,对于任何给定的面积抽样努力(样本的任何固定部分),具有不同个体数量的样本在整个样本中总分类数量的比例方面的代表性不同,数量较大的样本被高估,数量较少的样本被低估。因此,如果主要目的是测量和分析分类丰富度,我们不建议单独使用固定面积抽样方法;相反,我们鼓励研究人员为此目的使用固定计数方法。