Developments in Numerical Ecology Book

Developments in Numerical Ecology


  • Author : Pierre Legendre
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-06-29
  • Genre: Science
  • Pages : 585
  • ISBN 10 : 9783642708800

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Developments in Numerical Ecology Excerpt :

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. This book comprises the invited lectures, as well as working group reports, on the NATO workshop held in Roscoff (France) to improve the applicability of this new method numerical ecology to specific ecological problems.

Numerical Ecology Book

Numerical Ecology


  • Author : P. Legendre
  • Publisher : Elsevier
  • Release Date : 1998-11-25
  • Genre: Science
  • Pages : 852
  • ISBN 10 : 9780080523170

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Numerical Ecology Excerpt :

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. Compared to the first edition of Numerical Ecology, this second edition includes three new chapters, dealing with the analysis of semiquantitative data, canonical analysis and spatial analysis. New sections have been added to almost all other chapters. There are sections listing available computer programs and packages at the end of several chapters. As in the previous English and French editions, there are numerous examples from the ecological literature, and the choice of methods is facilitated by several synoptic tables.

Numerical Ecology Book

Numerical Ecology


  • Author : P. Legendre
  • Publisher : Elsevier
  • Release Date : 2012-08-20
  • Genre: Science
  • Pages : 990
  • ISBN 10 : 9780444538680

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Numerical Ecology Excerpt :

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 methods All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research All calculations are available in R language functions

Numerical Ecology with R Book

Numerical Ecology with R


  • Author : Daniel Borcard
  • Publisher : Springer
  • Release Date : 2018-04-03
  • Genre: Mathematics
  • Pages : 435
  • ISBN 10 : 3319714031

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Numerical Ecology with R Excerpt :

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 submits example data to three families of approaches: clustering, ordination and canonical ordination. The last two chapters make use of these methods to explore important and contemporary issues in ecology: the analysis of spatial structures and of community diversity. The aims of methods thus range from descriptive to explanatory and predictive and encompass a wide variety of approaches that should provide readers with an extensive toolbox that can address a wide palette of questions arising in contemporary multivariate ecological analysis. The second edition of this book features a complete revision to the R code and offers improved procedures and more diverse applications of the major methods. It also highlights important changes in the methods and expands upon topics such as multiple correspondence analysis, principal response curves and co-correspondence analysis. New features include the study of relationships between species traits and the environment, and community diversity analysis. 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 o

Numerical Ecology with R Book

Numerical Ecology with R


  • Author : Daniel Borcard
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-01-07
  • Genre: Medical
  • Pages : 306
  • ISBN 10 : 9781441979766

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Numerical Ecology with R Excerpt :

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 Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, F

Handbook of Meta analysis in Ecology and Evolution Book

Handbook of Meta analysis in Ecology and Evolution


  • Author : Julia Koricheva
  • Publisher : Princeton University Press
  • Release Date : 2013-04-21
  • Genre: Science
  • Pages : 520
  • ISBN 10 : 9781400846184

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Handbook of Meta analysis in Ecology and Evolution Excerpt :

Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets

Earth  Our Living Planet Book

Earth Our Living Planet


  • Author : Philippe Bertrand
  • Publisher : Springer Nature
  • Release Date : 2021-04-21
  • Genre: Science
  • Pages : 572
  • ISBN 10 : 9783030677732

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Earth Our Living Planet Excerpt :

Earth is, to our knowledge, the only life-bearing body in the Solar System. This extraordinary characteristic dates back almost 4 billion years. How to explain that Earth is teeming with organisms and that this has lasted for so long? What makes Earth different from its sister planets Mars and Venus? The habitability of a planet is its capacity to allow the emergence of organisms. What astronomical and geological conditions concurred to make Earth habitable 4 billion years ago, and how has it remained habitable since? What have been the respective roles of non-biological and biological characteristics in maintaining the habitability of Earth? This unique book answers the above questions by considering the roles of organisms and ecosystems in the Earth System, which is made of the non-living and living components of the planet. Organisms have progressively occupied all the habitats of the planet, diversifying into countless life forms and developing enormous biomasses over the past 3.6 billion years. In this way, organisms and ecosystems "took over" the Earth System, and thus became major agents in its regulation and global evolution. There was co-evolution of the different components of the Earth System, leading to a number of feedback mechanisms that regulated long-term Earth conditions. For millennia, and especially since the Industrial Revolution nearly 300 years ago, humans have gradually transformed the Earth System. Technological developments combined with the large increase in human population have led, in recent decades, to major changes in the Earth's climate, soils, biodiversity and quality of air and water. After some successes in the 20th century at preventing internationally environmental disasters, human societies are now facing major challenges arising from climate change. Some of these challenges are short-term and others concern the thousand-year evolution of the Earth's climate. Humans should become the stewards of Earth.

Ecological Models and Data in R Book

Ecological Models and Data in R


  • Author : Benjamin M. Bolker
  • Publisher : Princeton University Press
  • Release Date : 2008-07-21
  • Genre: Computers
  • Pages : 396
  • ISBN 10 : 9780691125220

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Ecological Models and Data in R Excerpt :

Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.

Functional and Phylogenetic Ecology in R Book

Functional and Phylogenetic Ecology in R


  • Author : Nathan G. Swenson
  • Publisher : Springer Science & Business Media
  • Release Date : 2014-03-26
  • Genre: Computers
  • Pages : 212
  • ISBN 10 : 9781461495420

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Functional and Phylogenetic Ecology in R Excerpt :

Functional and Phylogenetic Ecology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were generated to incorporate phylogenetic and functional information into traditional ecological analyses. Increasingly these tools are implemented in R, thus greatly expanding their impact. Researchers getting started in R can use this volume as a step-by-step entryway into phylogenetic and functional analyses for ecology in R. More advanced users will be able to use this volume as a quick reference to understand particular analyses. The volume begins with an introduction to the R environment and handling relevant data in R. Chapters then cover phylogenetic and functional metrics of biodiversity; null modeling and randomizations for phylogenetic and functional trait analyses; integrating phylogenetic and functional trait information; and interfacing the R environment with a popular C-based program. This book presents a unique approach through its focus on ecological analyses and not macroevolutionary analyses. The author provides his own code, so that the reader is guided through the computational steps to calculate the desired metrics. This guided approach simplifies the work of determining which package to use for any given analysis. Example datasets are shared to help readers practice, and readers can then quickly turn to their own datasets.

Mixed Effects Models and Extensions in Ecology with R Book
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Mixed Effects Models and Extensions in Ecology with R


  • Author : Alain Zuur
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-03-05
  • Genre: Science
  • Pages : 574
  • ISBN 10 : 9780387874586

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Mixed Effects Models and Extensions in Ecology with R Excerpt :

This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.

Social ecological Systems of Latin America  Complexities and Challenges Book
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Social ecological Systems of Latin America Complexities and Challenges


  • Author : Luisa E. Delgado
  • Publisher : Springer Nature
  • Release Date : 2019-10-31
  • Genre: Science
  • Pages : 453
  • ISBN 10 : 9783030284527

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Social ecological Systems of Latin America Complexities and Challenges Excerpt :

Human societies are influencing nature in such a way that their independent analysis is no longer suitable. Fortunately, social-ecological systems provide a conceptual framework for the interconnected analysis of societies and ecosystems. However, in the case of Latin America, the complexity of social-ecological processes undermined a much-needed compilation of theoretical concepts, methods and case studies. Increasing readers’ understanding of such systems using a postnormal approach, the book discusses current concepts and methods with examples of studies from eight countries. It is a useful resource for social actors, government decision makers and scholars.

Community Ecology Book

Community Ecology


  • Author : Gary G. Mittelbach
  • Publisher : Oxford University Press
  • Release Date : 2019-05-24
  • Genre: Science
  • Pages : 448
  • ISBN 10 : 9780192572868

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Community Ecology Excerpt :

Community ecology has undergone a transformation in recent years, from a discipline largely focused on processes occurring within a local area to a discipline encompassing a much richer domain of study, including the linkages between communities separated in space (metacommunity dynamics), niche and neutral theory, the interplay between ecology and evolution (eco-evolutionary dynamics), and the influence of historical and regional processes in shaping patterns of biodiversity. To fully understand these new developments, however, students continue to need a strong foundation in the study of species interactions and how these interactions are assembled into food webs and other ecological networks. This new edition fulfils the book's original aims, both as a much-needed up-to-date and accessible introduction to modern community ecology, and in identifying the important questions that are yet to be answered. This research-driven textbook introduces state-of-the-art community ecology to a new generation of students, adopting reasoned and balanced perspectives on as-yet-unresolved issues. Community Ecology is suitable for advanced undergraduates, graduate students, and researchers seeking a broad, up-to-date coverage of ecological concepts at the community level.

Stochastic Processes  Multiscale Modeling  and Numerical Methods for Computational Cellular Biology Book
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Stochastic Processes Multiscale Modeling and Numerical Methods for Computational Cellular Biology


  • Author : David Holcman
  • Publisher : Springer
  • Release Date : 2017-10-04
  • Genre: Mathematics
  • Pages : 377
  • ISBN 10 : 9783319626277

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Stochastic Processes Multiscale Modeling and Numerical Methods for Computational Cellular Biology Excerpt :

This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approaches to dynamical systems in cellular biology. This text aims to develop improved mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to low copy numbers of biological molecules, such as mRNA and proteins that take part in biochemical reactions driving cellular processes. When trying to describe such biological processes, the traditional deterministic models are often inadequate, precisely because of these low copy numbers. This book presents stochastic models, which are necessary to account for small particle numbers and extrinsic noise sources. The complexity of these models depend upon whether the biochemical reactions are diffusion-limited or reaction-limited. In the former case, one needs to adopt the framework of stochastic reaction-diffusion models, while in the latter, one can describe the processes by adopting the framework of Markov jump processes and stochastic differential equations. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology will appeal to graduate students and researchers in the fields of applied mathematics, biophysics, and cellular biology.

Tracking Environmental Change Using Lake Sediments Book

Tracking Environmental Change Using Lake Sediments


  • Author : H. John B. Birks
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-04-06
  • Genre: Science
  • Pages : 745
  • ISBN 10 : 9789400727458

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Tracking Environmental Change Using Lake Sediments Excerpt :

Numerical and statistical methods have rapidly become part of a palaeolimnologist’s tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. ​ Visit http://extras.springer.com the Springer's Extras website to view data-sets, figures, software, and R scripts used or mentioned in this book.

Data Analysis in Community and Landscape Ecology Book

Data Analysis in Community and Landscape Ecology


  • Author : Ed Jongman
  • Publisher : Cambridge University Press
  • Release Date : 1995-03-02
  • Genre: Mathematics
  • Pages : 299
  • ISBN 10 : 9780521475747

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Data Analysis in Community and Landscape Ecology Excerpt :

Ecological data has several special properties: the presence or absence of species on a semi-quantitative abundance scale; non-linear relationships between species and environmental factors; and high inter-correlations among species and among environmental variables. The analysis of such data is important to the interpretation of relationships within plant and animal communities and with their environments. In this corrected version of Data Analysis in Community and Landscape Ecology, without using complex mathematics, the contributors demonstrate the methods that have proven most useful, with examples, exercises and case-studies. Chapters explain in an elementary way powerful data analysis techniques such as logic regression, canonical correspondence analysis, and kriging.