Current measures for distance decay in similarity of species composition are influenced by study extent and grain size
Current measures for distance decay in similarity of species composition are influenced by study extent and grain size
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DOI：
10.1111/j.1466-8238.2012.00772.x
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发表时间：
2012-12-01
影响因子：
6.4
通讯作者：
Beierkuhnlein, Carl
中科院分区：
文献类型：
--
作者：
Steinbauer, Manuel Jonas;Dolos, Klara;Beierkuhnlein, Carl
目的地理距离和物种组成相似性之间的关系经常用作物种更替和β多样性的衡量标准。尽管程度不同，但仍应用、引用和比较了远距离记录分析，在这种分析中经常使用不同粒度的记录（例如地块、岛屿、州）。目前，distancedecay关系，涵盖不同的粒度和程度之间的差异归因于生态过程，被怀疑在不同的程度和粒度不同的操作。我们评估是否隐含的假设，即distancedecay关系是独立的粒度和研究范围是有效的，或者是否抽样设计可能是观察到的差异的根本原因。地点一个人工的一维景观。方法在模拟社区中对距离-粒度和研究范围有系统的变化。在每个采样数据集的线性关系的Simpson和Sorensen相似性的地理距离（对数转换和原始尺度）之间的100个均匀大小的等距图进行了评估，使用线性回归和广义线性回归与对数链接函数。应用回归分析，包括或从数据中删除零相似性。结果距离-时间关系的斜率（衡量周转率）和拟合优度r2（量化空间对物种组成的影响）均受谷物和研究范围的强烈影响。能够科普大距离比较的零相似值的方法较少依赖于晶粒和程度。主要结论报告的景观之间的差异检测到目前的distancedecay措施不能明确追溯到生态尺度的具体过程。相反，它们在很大程度上归因于抽样设计，并对粒度和研究范围高度敏感。需要采取更适当的方法来研究远距离转移和了解特定规模的过程。
Aim The relationship between geographic distance and similarity in species composition is regularly used as a measure of species turnover and beta diversity. Distancedecay analyses are applied, cited and compared despite the variable extent, and different grain sizes of records (e.g. plots, islands, states) are regularly used within such analyses. Currently, differences among distancedecay relationships that cover different grain sizes and extents are attributed to ecological processes that are suspected to operate differently over varying extents and grain sizes. We assess whether the implicit assumption that the distancedecay relation is independent of grain size and study extent is valid, or whether sampling design could be the underlying cause for observed differences. Location An artificial one-dimensional landscape. Methods The distancedecay relationship was quantified in simulated communities. Grain and study extent were varied systematically. In each sampled data set the linear relation of Simpson and Sorensen similarity to geographic distance (on both log-transformed and original scales) between 100 even-sized equidistant plots was assessed using linear regression and generalized linear regression with a log-link function. Regressions were applied either including or removing zero similarities from the data. Results Both the slope (measuring turnover) and the goodness of fit measure r2 (quantifying the influence of space on species composition) of the distancedecay relationship were strongly influenced by grain and study extent. Approaches that are able to cope with zero similarity values of large distance comparisons were less dependent on grain and extent. Main conclusions Reported differences between landscapes detected by current distancedecay measures cannot be explicitly traced back to ecological scale-specific processes. Instead, they can largely be attributed to sampling design and are highly sensitive to grain size and study extent. More appropriate approaches for the study of distancedecay and the understanding of scale-specific processes are required.