APPLYING METRIC AND NONMETRIC MULTIDIMENSIONAL-SCALING TO ECOLOGICAL-STUDIES - SOME NEW RESULTS
APPLYING METRIC AND NONMETRIC MULTIDIMENSIONAL-SCALING TO ECOLOGICAL-STUDIES - SOME NEW RESULTS
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DOI：
10.2307/1939814
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发表时间：
1986-08-01
期刊：
影响因子：
4.8
通讯作者：
ORLOCI, L
中科院分区：
文献类型：
--
作者：
KENKEL, NC;ORLOCI, L
生态排序的度量（特征分析）和非度量多维尺度策略进行了比较。结果，模拟的群落平面数据显示不同程度的物种营业额在两个独立的环境轴的基础上，建议度量和非度量尺度方法之间的一些强大的差异，他们的能力，以恢复潜在的非线性数据结构。先前的数据标准化有重要影响的结果度量和非度量缩放，虽然效果不同的排序方法。非度量多维尺度的基础上欧氏距离标准规范标准化被证明是最好的策略，恢复模拟群落平面数据。在度量策略比较中，对应分析和去趋势形式是最成功的。虽然去趋势在某些情况下改善了排序配置，但在其他情况下，它导致了结果的扭曲。有人建议，目前可用的协调策略是适当的，在所有情况下，协调方法的未来研究应强调统计，而不是经验的方法。
Metric (eigenanalysis) and nonmetric multidimensional scaling strategies for ecological ordination were compared. The results, based on simulated coenoplane data showing varying degrees of species turnover on two independent environmental axes, suggested some strong differences between metric and nonmetric scaling methods in their ability to recover underlying nonlinear data structures. Prior data standardization had important effects on the results of both metric and nonmetric scaling, though the effect varied with the ordination method used. Nonmetric multidimensional scaling based on Euclidean distance following stand norm standardization proved to be the best strategy for recovering simulated coenoplane data. Of the metric strategies compared correspondence analysis and the detrended form were the most successful. While detrending improved ordination configurations in some cases, in others it led to a distortion of results. It is suggested that none of the currently available ordination strategies is appropriate under all circumstances, and that future research in ordination methodology should emphasize a statistical rather than empirical approach.