Estimating regional species richness of tropical insects from museum data: a comparison of a geography-based and sample-based methods
Estimating regional species richness of tropical insects from museum data: a comparison of a geography-based and sample-based methods
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DOI：
10.1111/j.1365-2664.2007.01291.x
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发表时间：
2007-06-01
影响因子：
5.7
通讯作者：
Kitching, Ian J.
中科院分区：
文献类型：
--
作者：
Beck, Jan;Kitching, Ian J.
1.在区域尺度上，如生物多样性热点，物种丰富度的空间格局的识别是复杂的无脊椎动物类群（特别是那些来自热带地区）的不完整和有偏见的库存数据。从不完全采样景观的区域物种丰富度的估计技术最近已经成为可用的，但其适用性的数据从博物馆收藏和当地分类检查表还没有调查。我们使用记录的鞘蛾在网格细胞的1度纬度和经度的14个马来群岛岛屿，估计这些岛屿的总物种丰富度，以及整个群岛，由5个参数和非参数估计技术。我们将这些值与基于GIS支持的每个物种地理范围估计的数字进行比较。我们的分析表明，区域物种丰富度的F3估计导致最小的偏离基于GIS的估计，其次是Chao2和ICE，这是经常在当地的比较。高估往往比低估和估计良好采样的岛屿（有许多可用的网格单元）是不太偏离那些采样差的岛屿。我们没有得到结论性的结果，是否强烈欠采样的网格单元更好地从分析中排除（以减少网格单元数量为代价）。合成与应用。与以前发表的一些评估，我们的结论是，F3估计预测区域物种丰富度的部分采样景观的潜力最大。以样本为基础的方法来估计区域物种丰富度，可以提供一种替代工作量大得多的物种分布地理建模，这可能有助于将热带无脊椎动物群体纳入记录全球多样性模式。然而，在博物馆和清单数据通常采用的不完整、非系统抽样的情况下，误差仍然很大，特别是在抽样单位（如网格单元）数量较少的情况下。当导致偏差值的数据条件没有精确定义时，不应不加批判地解释估计值。
1. The identification of spatial patterns of species richness at regional scales, such as biodiversity hotspots, is complicated in invertebrate taxa (particularly those from tropical regions) by incomplete and biased inventory data. Estimation techniques of regional species richness from incompletely sampled landscapes have recently become available, but their applicability to data from museum collections and local taxonomic checklists has not been investigated.2. We use records of sphingid moths in grid cells of 1 degrees latitude and longitude on 14 Malesian islands to estimate the total species richness of these islands, as well as that of the whole archipelago, by five parametric and nonparametric estimation techniques. We compare these values to figures based on GIS-supported estimates of geographical ranges of each species.3. Our analyses suggest that the F3 estimator of regional species richness leads to least deviation from the GIS-based estimate, followed by Chao2 and ICE, which are often employed in local comparisons. Overestimation occurred more often than underestimation and estimates of well-sampled islands (with many available grid cells) are less deviant than those of poorly sampled islands. We did not obtain conclusive results as to whether strongly undersampled grid cells are better excluded from an analysis (at the cost of reduced grid cell number) or not.4. Synthesis and applications. In agreement with some previously published assessments, we conclude that the F3 estimator has the greatest potential for predicting regional species richness in partially sampled landscapes. Sample-based methods for estimating regional species richness can provide an alternative to the much more work-intensive geographical modelling of species distributions, which may facilitate the inclusion of tropical invertebrate groups in documenting global diversity patterns. However, under conditions of incomplete, non-systematic sampling, which is typical for museum and checklist data, errors can still be large, particularly if the number of sampling units (e.g. grid cells) is low. Estimation values should not be interpreted uncritically when the data conditions that lead to biased values are not precisely defined.