Numerical Ecology

• Author : P. Legendre,Loic F J Legendre
• Publisher : Elsevier
• Release : 20 August 2012

The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical

• Author : Daniel Borcard,Francois Gillet,Pierre Legendre
• Publisher : Springer Science & Business Media
• Release : 07 January 2011

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:

• Author : Pierre Legendre,Louis Legendre
• Publisher : Springer Science & Business Media
• Release : 29 June 2013

From earlier ecological studies it has become apparent that simple univariate or bivariate statistics are often inappropriate, and that multivariate statistical analyses must be applied. Despite several difficulties arising from the application of multivariate methods, community ecology has acquired a mathematical framework, with three consequences: it can develop as an exact science; it can be applied operationally as a computer-assisted science to the solution of environmental problems; and it can exchange information with other disciplines using the language of mathematics.

• Author : Brian D. Fath
• Publisher : Elsevier
• Release : 23 August 2018

Encyclopedia of Ecology, Second Edition continues the acclaimed work of the previous edition published in 2008. It covers all scales of biological organization, from organisms, to populations, to communities and ecosystems. Laboratory, field, simulation modelling, and theoretical approaches are presented to show how living systems sustain structure and function in space and time. New areas of focus include micro- and macro scales, molecular and genetic ecology, and global ecology (e.g., climate change, earth transformations, ecosystem services, and the food-water-energy nexus)

• Author : Louis Legendre,Pierre Legendre,P. Legendre
• Publisher : Elsevier Science Limited
• Release : 15 August 1983

Complex ecological data sets. Matrix algebra: a summary. Dimensional analysis in ecology. Multidimensional qualitative data. Multidimensional quantitative data. Measures of ecological resemblance. Cluster analysis. Ordination in reduced space. Structure analysis. Ecological series. Markov process and Leslie matrix.

• Author : Joseph Felsenstein
• Publisher : Springer Science & Business Media
• Release : 29 June 2013

The NATO Advanced Study Institute on Numerical Taxonomy took place on the 4th - 16th of July, 1982, at the Kur- und Kongresshotel Residenz in Bad Windsheim, Federal Republic of Germany. This volume is the proceedings of that meeting, and contains papers by over two-thirds of the participants in the Institute. Numerical taxonomy has been attracting increased attention from systematists and evolutionary biologists. It is an area which has been marked by debate and conflict, sometimes bitter. Happily, this meeting took

• Author : Daniel Borcard,François Gillet,Pierre Legendre
• Publisher : Springer
• Release : 19 March 2018

This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. It provides a bridge between a textbook of numerical ecology and the implementation of this discipline in the R language. The book begins by examining some exploratory approaches. It proceeds logically with the construction of the key building blocks of most methods, i.e. association measures and matrices, and then

• Author : John A. Wiens,Michael Moss,Monica G. Turner
• Publisher : Columbia University Press
• Release : 15 August 2022

The editors begin with articles that illuminate the discipline's diverse scientific foundations, such as L.

• Author : Hsiao-Hsuan Wang,W. E. Grant
• Publisher : Elsevier
• Release : 14 August 2019

Ecological Modeling: An Introduction to the Art and Science of Modeling Ecological Systems, Volume 31, presents the skills needed to appropriately evaluate and use ecological models. Illustrated throughout with practical examples, the book discusses ecological modeling as both an art and a science, balancing the qualitative (artistic) side, with its foundations in common sense and modeling practice, against the quantitative (scientific) aspects of the modeling process. This book draws on the authors’ extensive experience in both teaching and using these techniques

• Author : Ferenc Jordán,Sven Erik Jorgensen
• Publisher : Newnes
• Release : 15 August 2022

"Based on selected papers covering the presentations at the 7th European Conference on Ecological Modelling, organized by ISEM and hosted by The Microsoft Research--University of Trento Center for Computational and Systems Biology from 30 May to 2 June, 2011 in Riva del Garde, Italy"--P. xi.

• Author : Anonim
• Publisher : Elsevier
• Release : 04 April 2014

Ecological modelling has developed rapidly in recent decades, with the focus primarily on the restoration of lakes and wetlands. Ecological Modelling and Engineering in Lakes and Wetlands presents the progress being made in modelling for a wealth of applications. It covers the older biogeochemical models still in use today, structurally dynamic models, 3D models, biophysical models, entire watershed models, and ecotoxicological models, as well as the expansion of modeling to the Arctic and Antarctic climate-zones. The book also addresses modelling

• Author : Michael Greenacre,Raul Primicerio
• Publisher : Fundacion BBVA
• Release : 09 January 2014

La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limitantes que caracterizan el medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas cada una por entidades con propiedades parecidas. El fin último es relacionar

• Author : Samuel M. Scheiner,Jessica Gurevitch
• Publisher : Oxford University Press
• Release : 26 April 2001

Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments in experimental ecology and statistical practice. The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially

• Author : David J. Garbary,G. Robin South
• Publisher : Springer Science & Business Media
• Release : 29 June 2013

Algal systematists, geologists and evolutionary biologists provide a synthesis of the evolutionary biogeography of red, brown, and green algae of the North Atlantic Ocean also considering their relationships with species and genera in the Arctic and Pacific Oceans as well as other subtropical and tropical seas. The history of the Atlantic Basin and its connections to other ocean basins is treated from the geological, paleontological and paleoclimatic perspective. This is contrasted with biogeographic analyses of marine animal systems and the

• Author : Friedrich Recknagel
• Publisher : Springer Science & Business Media
• Release : 21 May 2006

Ecological Informatics promotes interdisciplinary research between ecology and computer science on elucidation of principles of information processing in ecosystems, ecological sustainability by informed decision making, and bio-inspired computation. The 2nd edition of the book consolidates the scope, concepts, and techniques of this newly emerging discipline by a new preface and additional chapters on cellular automata, qualitative reasoning, hybrid evolutionary algorithms and artificial neural networks. It illustrates numerous applications of Ecological Informatics for aquatic and terrestrial ecosystems, image recognition at micro-