Numerical Ecology
Provided for non-commercial research and educational use. Not for reproduction, distribution or commercial use. This article was originally published in Encyclopedia of Ecology, 2nd edition, published by Elsevier, and the attached copy is provided by Elsevier for the author's benefit and for the benefit of the author's institution, for non- commercial research and educational use including without limitation use in instruction at your institution, sending it to specific colleagues who you know, and providing a copy to your institution's administrator. All other uses, reproduction and distribution, including without limitation commercial reprints, selling or licensing copies or access, or posting on open internet sites, your personal or institution's website or repository, are prohibited. For exceptions, permission may be sought for such use through Elsevier's permissions site at: http://www.elsevier.com/locate/permissionusematerial Pierre Legendre (2019) Numerical Ecology. In: Fath, B.D. (editor in chief) Encyclopedia of Ecology, 2nd edition, vol. 3, pp. 487–493. Oxford: Elsevier. © 2019 Elsevier B.V. All rights reserved. Author's personal copy Numerical Ecology Pierre Legendre, Université de Montréal, Montréal, QC, Canada r 2019 Elsevier B.V. All rights reserved. Introduction Numerical ecology is the field of quantitative ecology devoted to the numerical analysis of [mostly multivariate, but also time series] ecological data, with emphasis on community composition data. Community ecologists, whose data are multivariate by nature (many species, several environmental variables), are the primary users of these methods. Hence, population dynamics, single- species distribution models or the analysis of single species spatial patterns, which are powerful applications of mathematical ecology, are not considered parts of numerical ecology sensu stricto.
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