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Evaluating the Predictive Power of Ordination Methods in Ecological Context. MATHEMATICS 2018. [DOI: 10.3390/math6120295] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
When striving for the ordination methods best predicting independently measured site factors, the following questions arise: does the optimal choice depend on the kind of biological community analysed? Are there different ordination methods needed to address different site factors? Simultaneously, I explore alternative similarity approaches of entire ordinations, as well as the role of the transformations applied to the scale used in measuring species performance. The combination of methods and data transformations results in 96 alternative solutions for any one data set. These are compared by a graphical display, that is, an ordination of ordinations. The goodness-of-fit of independently measured site factors is assessed by two alternative methods. The resulting 96 performance values serve as independent variables in trend surfaces overlaid to the ordination of ordinations. The results from two real-world data sets indicate that some ordination methods greatly vary with data transformation. Scores close to a binary scale perform best in almost all ordination methods. Methods that intrinsically constrain the range of species scores, such as principal components analysis based on correlation, correspondence analysis (including its detrended version), nonmetric multidimensional scaling, as well as principal coordinates analysis based on the Bray-Curtis distance, always figure among the most successful methods, irrespective of data used.
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Feoli E, Zuccarello V. Fuzzy sets and eigenanalysis in community studies: classification and ordination are “two faces of the same coin”. COMMUNITY ECOL 2013. [DOI: 10.1556/comec.14.2013.2.6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Trends and problems in the application of classification and ordination methods in plant ecology. ACTA ACUST UNITED AC 1988. [DOI: 10.1007/bf00033421] [Citation(s) in RCA: 38] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Minchin PR. An evaluation of the relative robustness of techniques for ecological ordination. ACTA ACUST UNITED AC 1987. [DOI: 10.1007/bf00038690] [Citation(s) in RCA: 799] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Fewster PH, Orl�ci L. On choosing a resemblance measure for non-linear predictive ordination. ACTA ACUST UNITED AC 1983. [DOI: 10.1007/bf00036078] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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A phytosociological system based on multi-scaled pattern analysis: a first example. ACTA ACUST UNITED AC 1983. [DOI: 10.1007/bf00036075] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Feoli E, Lagonegro M. Syntaxonomical analysis of beech woods in the Apennines (Italy) using the program package IAHOPA. ACTA ACUST UNITED AC 1982. [DOI: 10.1007/bf00364109] [Citation(s) in RCA: 35] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Avena G, Blasi C, Eeoli E, Scoppola A. Measurement of the predictive value of species lists for species cover in phytosociological samples. ACTA ACUST UNITED AC 1981. [DOI: 10.1007/bf00119216] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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