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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
Spatial Heterogeneity of Mechanical Impedance of Atypical Chernozem: The Ecological Approach
TL;DR: In this paper, the spatial heterogeneity of mechanical impedance of a typical chernozem was investigated by means of multidimensional scaling, and the distance between experimental points in the mechanical impedance space was explained by using the Horn-Morisita distance.
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Mohammadali Khan Mirzaei,Jinling Xue,Rita Costa,Jinlong Ru,Sarah Schulz,Zofia E. Taranu,Li Deng +6 more
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Soil temperature determines the reaction of olive cultivars to Verticillium dahliae pathotypes.
Rocío Calderón,Carlos José Pereira de Lucena,José L. Trapero-Casas,Pablo J. Zarco-Tejada,Juan A Navas-Cortes +4 more
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Perception and use of landscape concepts in the procedure of Environmental Impact Assessment: Case study-Switzerland and Romania
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TL;DR: In this paper, the authors analyzed Swiss and Romanian experts' perception of landscape, evaluated concepts and methods used in environmental impact reports to assess landscape characteristics and functions, and how the European Landscape Convention's aim and objectives are reflected by the EIA reports.
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Nutrient limitation and site-related growth potential of Norway spruce (Picea abies [L.] Karst) in the Bavarian Alps
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TL;DR: In this article, the authors investigated the impact of soil chemistry on the vigour of Norway spruce trees on calcareous soils and found that soil development and concurrent acidification are key determinants for the vitality and growth of spruce in the Bavarian Alps, which surpass the importance of climate on nutrition and growth.
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