A Primer Of Ecology With R
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A Primer Of Ecology With R
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Author : M. Henry Stevens
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-02
A Primer Of Ecology With R written by M. Henry Stevens and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-02 with Science categories.
Provides simple explanations of the important concepts in population and community ecology. Provides R code throughout, to illustrate model development and analysis, as well as appendix introducing the R language. Interweaves ecological content and code so that either stands alone. Supplemental web site for additional code.
A Primer Of Ecology
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Author : Nicholas J. Gotelli
language : en
Publisher: Sinauer Associates, Incorporated
Release Date : 2001
A Primer Of Ecology written by Nicholas J. Gotelli and has been published by Sinauer Associates, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Nature categories.
Including both simple and more advanced problems, this is a concise but detailed exposition of the most common mathematical models in population and community ecology.
A Primer Of Ecology
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Author : Nicholas J. Gotelli
language : en
Publisher: Sinauer Associates Incorporated
Release Date : 2008-01-01
A Primer Of Ecology written by Nicholas J. Gotelli and has been published by Sinauer Associates Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-01 with Science categories.
This book presents a concise but detailed exposition of the most common mathematical models in population and community ecology. It is intended to demystify ecological models and the mathematics behind them by deriving the models from first principles.
Statistical Ecology
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Author : John A. Ludwig
language : en
Publisher: John Wiley & Sons
Release Date : 1988-05-18
Statistical Ecology written by John A. Ludwig and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-05-18 with Mathematics categories.
Ecological community data. Spatial pattern analysis. Species-abundance relations. Species affinity. Community classification. Community ordination. Community interpretation.
A Primer Of Ecology
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Author : Nicholas J. Gotelli
language : en
Publisher:
Release Date : 1998
A Primer Of Ecology written by Nicholas J. Gotelli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Biologie des populations - Modèles mathématiques categories.
A detailed exposition of the most common mathematical models in population and community ecology, covering exponential and logistic population growth, age-structured demography, metapopulation dynamics, competition, predation, and island biogeography. Intended to demystify ecological models and the math behind them by deriving the models from first principles. The primer may be used as a self-teaching tutorial, as a primary textbook, or as a supplemental text to a general ecology textbook. Annotation copyright by Book News, Inc., Portland, OR
Primer Of Ecological Restoration
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Author : Karen Holl
language : en
Publisher: Island Press
Release Date : 2020-03-03
Primer Of Ecological Restoration written by Karen Holl and has been published by Island Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with Science categories.
The pace, intensity, and scale at which humans have altered our planet in recent decades is unprecedented. We have dramatically transformed landscapes and waterways through agriculture, logging, mining, and fire suppression, with drastic impacts on public health and human well-being. What can we do to counteract and even reverse the worst of these effects? Restore damaged ecosystems. The Primer of Ecological Restoration is a succinct introduction to the theory and practice of ecological restoration as a strategy to conserve biodiversity and ecosystems. In twelve brief chapters, the book introduces readers to the basics of restoration project planning, monitoring, and adaptive management. It explains abiotic factors such as landforms, soil, and hydrology that are the building blocks to successfully recovering microorganism, plant, and animal communities. Additional chapters cover topics such as invasive species and legal and financial considerations. Each chapter concludes with recommended reading and reference lists, and the book can be paired with online resources for teaching. Perfect for introductory classes in ecological restoration or for practitioners seeking constructive guidance for real-world projects, Primer of Ecological Restoration offers accessible, practical information on recent trends in the field.
A Primer Of Ecological Statistics
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Author : Nicholas J. Gotelli
language : en
Publisher: Sinauer
Release Date : 2013-03-14
A Primer Of Ecological Statistics written by Nicholas J. Gotelli and has been published by Sinauer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Science categories.
A Primer of Ecological Statistics, Second Edition explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design, the Primer also serves as a resource for environmental professionals who need to use and interpret statistics daily but have little or no formal training in the subject. The book is divided into four parts. Part I discusses the fundamentals of probability and statistical thinking. It introduces the logic and language of probability (Chapter 1), explains common statistical distributions used in ecology (Chapter 2) and important measures of central tendency and spread (Chapter 3), explains P-values, hypothesis testing, and statistical errors (Chapter 4), and introduces frequentist, Bayesian, and Monte Carlo methods of analysis (Chapter 5). Part II discusses how to successfully design and execute field experiments and sampling studies. Topics include design strategies (Chapter 6), a 'bestiary' of experimental designs (Chapter 7), and transformations and data management (Chapter 8). Part III discusses specific analyses, and covers the material that is the main core of most statistics texts. Topics include regression (Chapter 9), analysis of variance (Chapter 10), categorical data analysis (Chapter 11), and multivariate analysis (Chapter 12). Part IV—new to this edition—discusses two central topics in estimating important ecological metrics. Topics include quantification of biological diversity (Chapter 13) and estimating occupancy, detection probability, and population sizes from marked and unmarked populations (Chapter 14). The book includes a comprehensive glossary, a mathematical appendix on matrix algebra, and extensively annotated tables and figures. Footnotes introduce advanced and ancillary material: some are purely historical, others cover mathematical/statistical proofs or details, and still others address current topics in the ecological literature. Data files and code used for some of the examples, as well as errata, are available online.
Ecological Models And Data In R
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Author : Benjamin M. Bolker
language : en
Publisher: Princeton University Press
Release Date : 2008-07-21
Ecological Models And Data In R written by Benjamin M. Bolker and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-21 with Computers categories.
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.
The Interpretation Of Ecological Data
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Author : E. C. Pielou
language : en
Publisher: John Wiley & Sons
Release Date : 1984-09-06
The Interpretation Of Ecological Data written by E. C. Pielou and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-09-06 with Science categories.
A detailed introduction to the methods used by ecologists--classification and ordination--to clarify and interpret large, unwieldy masses of multivariate field data. Permits ecologists to understand, not just mechanically use, pre-packaged programs for multivariate analysis. Demonstrates these techniques using artificial data simple enough for every analytical step to be understood.
Numerical Ecology With R
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Author : Daniel Borcard
language : en
Publisher: Springer
Release Date : 2018-03-19
Numerical Ecology With R written by Daniel Borcard and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-19 with Mathematics categories.
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 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. Users are invited to use this book as a teaching companion at the computer. All the necessary data files, the scripts used in the chapters, as well as extra R functions and packages written by the authors of the book, are available online (URL: http://adn.biol.umontreal.ca/~numericalecology/numecolR/).