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Numerical Ecology with R
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TLDR
This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language.Abstract:
Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/ numericalecology/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Universite de Montreal, Quebec, Canada. Francois Gillet is professor of Community Ecology and Ecological Modelling at Universite de Franche-Comte, Besancon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Universite de Montreal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment.read more
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Journal ArticleDOI
Elements of lake macrophyte metacommunity structure: Global variation and community-environment relationships
Jorge García-Girón,Jorge García-Girón,Jani Heino,Lars Baastrup-Spohr,John S. Clayton,Mary de Winton,Tõnu Feldmann,Camino Fernández-Aláez,Frauke Ecke,Mark V. Hoyer,Agnieszka Kolada,Sarian Kosten,Balázs András Lukács,Roger Paulo Mormul,Laila Rhazi,Mouhssine Rhazi,Laura Sass,Jun Xu,Janne Alahuhta,Janne Alahuhta +19 more
Journal ArticleDOI
The Power of Microbiome Studies: Some Considerations on Which Alpha and Beta Metrics to Use and How to Report Results
TL;DR: The only way to protect ourselves from p-hacking would be to publish a statistical plan before experiments are initiated, describing the outcomes of interest and the corresponding statistical analyses to be performed, and to use multiple diversity metrics as an outcome measure.
Book ChapterDOI
Introduction and Overview of Part II
TL;DR: In this article, the authors present contrasting palaeolimnological case-studies, all of which have used numerical techniques as important research tools and highlight that numerical techniques are tools to help answer research questions and that they are not ends in themselves but are means to an end.
Journal ArticleDOI
Influence of stand composition on predatory mite (Mesostigmata) assemblages from the forest floor in western Canadian boreal mixedwood forests
TL;DR: The impact of stand type on the structure and community composition of predator mites from the Mesostigmata order in forest floors from undisturbed deciduous stands, coniferous stands dominated by Picea glauca, and mixed stands in the western Canadian boreal forest is evaluated.
Journal ArticleDOI
Disentangling the spatio-environmental drivers of human settlement: an eigenvector based variation decomposition.
TL;DR: Land cover and water availability were the dominant environmental determinants of human settlement throughout the study period, supporting the theory of the presence of farming communities and integrating historic settlement patterns as additional predictor variables resulted in more explained variation reflecting temporal autocorrelation in settlement locations.
Related Papers (5)
Species assemblages and indicator species:the need for a flexible asymmetrical approach
Marc Dufrêne,Pierre Legendre +1 more