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Measurement of the predictive value of species lists for species cover in phytosociological samples

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Abstract

The method known as Analysis of Concentration (AOC) is proposed as a tool to measure the predictivity of binary data for cover data. The application of AOC to structured tables of oak forests of Central Italy has proved that binary data are more predictive for cover than cover for binary data. The ordinations produced by AOC with binary and cover data are very similar and interpretable with similar results.

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Authors and Affiliations

  1. Istituto di Botanica, Università di Roma, Città Universitaria, 00185, Roma, Italy

    Glancarlo Avena, Carlo Blasi & Anna Scoppola

  2. Istituto ed Orto Botanico, Università di Trieste, Via Valerio 30, 34100, Trieste, Italy

    Enrico Eeoli

Authors
  1. Glancarlo Avena
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  2. Carlo Blasi
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  3. Enrico Eeoli
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  4. Anna Scoppola
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Additional information

The nomenciature used for species follows Zangheri (1976).

We are grateful to Prof. L. Orlóci for reading the manuscript and for his comments. Mr. A. Zampar provided technical assistance.

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Avena, G., Blasi, C., Eeoli, E. et al. Measurement of the predictive value of species lists for species cover in phytosociological samples. Vegetatio 45, 77–84 (1981). https://doi.org/10.1007/BF00119216

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  • DOI: https://doi.org/10.1007/BF00119216

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