COMPOSITIONAL DISSIMILARITY AS A ROBUST MEASURE OF ECOLOGICAL DISTANCE
COMPOSITIONAL DISSIMILARITY AS A ROBUST MEASURE OF ECOLOGICAL DISTANCE
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DOI：
10.1007/bf00038687
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发表时间：
1987-04-30
期刊：
影响因子：
--
通讯作者：
BELBIN, L
中科院分区：
文献类型：
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作者：
FAITH, DP;MINCHIN, PR;BELBIN, L
使用广泛的计算机模拟物种的丰度模式在一个和两个维度的配置，在生态空间中的样本网站之间的组成相异的定量措施的鲁棒性进行了评估。鲁棒性等同于强度，在一系列的模型，线性和单调（秩序）之间的关系组成的相异和相应的欧氏距离在生态空间中测量的网站。模型的范围反映了不同的假设物种的响应曲线形状，采样模式的网站，噪音水平的数据，物种的相互作用，总网站丰度的趋势，和梯度的β多样性。研究发现，Kulczynski、Bray-curtis和相对化曼哈顿测量不仅与生态距离具有稳健的单调关系，而且在生态距离变大之前还具有稳健的线性（比例）关系。不太稳健的测量包括Chord距离、Kendall系数、Chisquared距离、曼哈顿距离和欧几里得距离。一种新的排序方法，混合多维尺度（HMDS），引入了度量和非度量标准相结合，因此利用了强大的相异性措施，如Kulcyzski措施的特殊性质。
The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species'' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the strength, over a range of models, of the linear and monotonic (rank-order) relationship between the compositional dissimilarites and the corresponding Euclidean distances between sites measured in the ecological space. The range of models reflected different assumptions about species'' response curve shape, sampling pattern of sites, noise level of the data, species'' interactions, trends in total site abundance, and beta diversity of gradients. The Kulczynski, Bray-curtis and Relativized Manhattan measures were found to have not only a robust monotonic relationship with ecological distance, but also a robust linear (proportional) relationship until ecological distances became large. Less robust measures included Chord distance, Kendall''s coefficient, Chisquared distance, Manhattan distance, and Euclidean distance. A new ordination method, hybrid multidimensional scaling (HMDS), is introduced that combines metric and nonmetric criteria, and so takes advantage of the particular properties of robust dissimilarity measures such as the Kulcyzski measure.