A Primer of Ecology with R

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Publisher : Springer Science & Business Media
ISBN 13 : 0387898824
Total Pages : 404 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis A Primer of Ecology with R by : M. Henry Stevens

Download or read book A Primer of Ecology with R written by M. Henry Stevens and published by Springer Science & Business Media. This book was released on 2009-06-02 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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Publisher :
ISBN 13 : 9780878932740
Total Pages : 236 pages
Book Rating : 4.47/5 ( download)

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Book Synopsis A Primer of Ecology by : Nicholas J. Gotelli

Download or read book A Primer of Ecology written by Nicholas J. Gotelli and published by . This book was released on 1998 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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Publisher : Island Press
ISBN 13 : 1610919726
Total Pages : 221 pages
Book Rating : 4.22/5 ( download)

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Book Synopsis Primer of Ecological Restoration by : Karen Holl

Download or read book Primer of Ecological Restoration written by Karen Holl and published by Island Press. This book was released on 2020-03-03 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Ecological Models and Data in R

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Publisher : Princeton University Press
ISBN 13 : 0691125228
Total Pages : 408 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis Ecological Models and Data in R by : Benjamin M. Bolker

Download or read book Ecological Models and Data in R written by Benjamin M. Bolker and published by Princeton University Press. This book was released on 2008-07-21 with total page 408 pages. Available in PDF, EPUB and Kindle. Book 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.

Statistical Ecology

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Publisher : John Wiley & Sons
ISBN 13 : 9780471832355
Total Pages : 362 pages
Book Rating : 4.59/5 ( download)

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Book Synopsis Statistical Ecology by : John A. Ludwig

Download or read book Statistical Ecology written by John A. Ludwig and published by John Wiley & Sons. This book was released on 1988-05-18 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological community data. Spatial pattern analysis. Species-abundance relations. Species affinity. Community classification. Community ordination. Community interpretation.

The Theory of Ecology

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Publisher : University of Chicago Press
ISBN 13 : 0226736865
Total Pages : 416 pages
Book Rating : 4.60/5 ( download)

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Book Synopsis The Theory of Ecology by : Samuel M. Scheiner

Download or read book The Theory of Ecology written by Samuel M. Scheiner and published by University of Chicago Press. This book was released on 2011-07-15 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite claims to the contrary, the science of ecology has a long history of building theories. Many ecological theories are mathematical, computational, or statistical, though, and rarely have attempts been made to organize or extrapolate these models into broader theories. The Theory of Ecology brings together some of the most respected and creative theoretical ecologists of this era to advance a comprehensive, conceptual articulation of ecological theories. The contributors cover a wide range of topics, from ecological niche theory to population dynamic theory to island biogeography theory. Collectively, the chapters ably demonstrate how theory in ecology accounts for observations about the natural world and how models provide predictive understandings. It organizes these models into constitutive domains that highlight the strengths and weaknesses of ecological understanding. This book is a milestone in ecological theory and is certain to motivate future empirical and theoretical work in one of the most exciting and active domains of the life sciences.

A Primer of Ecological Statistics

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Publisher : Sinauer
ISBN 13 : 9781605350646
Total Pages : 0 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis A Primer of Ecological Statistics by : Nicholas J. Gotelli

Download or read book A Primer of Ecological Statistics written by Nicholas J. Gotelli and published by Sinauer. This book was released on 2013-03-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Morphometrics with R

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Publisher : Springer Science & Business Media
ISBN 13 : 0387777903
Total Pages : 317 pages
Book Rating : 4.00/5 ( download)

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Book Synopsis Morphometrics with R by : Julien Claude

Download or read book Morphometrics with R written by Julien Claude and published by Springer Science & Business Media. This book was released on 2008-12-15 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain how to use R to perform morphometrics. Morpho- tric analysis is the study of shape and size variations and covariations and their covariations with other variables. Morphometrics is thus deeply rooted within stat- tical sciences. While most applications concern biology, morphometrics is becoming common tools used in archeological, palaeontological, geographical, or medicine disciplines. Since the recent formalizations of some of the ideas of predecessors, such as D’arcy Thompson, and thanks to the development of computer techno- gies and new ways for appraising shape changes and variation, morphometrics have undergone, and are still undergoing, a revolution. Most techniques dealing with s- tistical shape analysis have been developed in the last three decades, and the number of publications using morphometrics is increasing rapidly. However, the majority of these methods cannot be implemented in available software and therefore prosp- tive students often need to acquire detailed knowledge in informatics and statistics before applying them to their data. With acceleration in the accumulation of me- ods accompanying the emerging science of statistical shape analysis, it is becoming important to use tools that allow some autonomy. R easily helps ful?ll this need. Risalanguage andenvironment forstatisticalcomputingandgraphics. Although there is an increasing number of computer applications that perform morphometrics, using R has several advantages that confer to users considerable power and possible new horizons in a world that requires rapid adaptability.

The Philosophy of Ecology

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Publisher : University of Georgia Press
ISBN 13 : 0820322202
Total Pages : 386 pages
Book Rating : 4.09/5 ( download)

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Book Synopsis The Philosophy of Ecology by : David R. Keller

Download or read book The Philosophy of Ecology written by David R. Keller and published by University of Georgia Press. This book was released on 2000 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first introductory anthology on the philosophy of ecology edited by an ecologist and a philosopher. It illustrates the range of philosophical approaches available to ecologists and provides a basis for understanding the thinking on which many of today's environmental ideas are founded. Collectively, these seminal readings make a powerful statement on the value of ecological knowledge and thinking in alleviating the many problems of modern industrial civilization. Issues covered include: the challenges of defining scientific ecology, tracing its genealogy, and distinguishing the science from various forms of "ecological-like" thinking the ontology of ecological entities and processes selected concepts of community, stability, diversity, and niche the methodology of ecology (rationalism and empiricism, reductionism and holism) the significance of evolutionary law for ecological science

Functional and Phylogenetic Ecology in R

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Publisher : Springer Science & Business Media
ISBN 13 : 1461495423
Total Pages : 217 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis Functional and Phylogenetic Ecology in R by : Nathan G. Swenson

Download or read book Functional and Phylogenetic Ecology in R written by Nathan G. Swenson and published by Springer Science & Business Media. This book was released on 2014-03-26 with total page 217 pages. Available in PDF, EPUB and Kindle. Book 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.