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Habitat ecology and analysis, Veech, Joseph A. (associate Professor, Associate Professor, Department Of Biology, Texas State University, Usa)


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Автор: Veech, Joseph A. (associate Professor, Associate Professor, Department Of Biology, Texas State University, Usa)
Название:  Habitat ecology and analysis
ISBN: 9780198829287
Издательство: Oxford Academ
Классификация:




ISBN-10: 0198829280
Обложка/Формат: Hardcover
Страницы: 240
Вес: 0.68 кг.
Дата издания: 18.01.2021
Язык: English
Иллюстрации: 37 colour line figures and 10 colour photographs
Размер: 25.15 x 19.30 x 1.52 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Provides the first concise, authoritative resource that clearly presents emerging methods together and demonstrates how they can be applied to data using statistical methodology, whilst putting the decades-old pursuit of analyzing habitat into historical context.


Applied Ecology

Автор: Goodenough Anne
Название: Applied Ecology
ISBN: 0198723288 ISBN-13(EAN): 9780198723288
Издательство: Oxford Academ
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Цена: 9027.00 р.
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Описание: Applied Ecology shows students how an understanding of ecological theory can be used to address the important issues facing ecologists today. Its problem-solving approach reflects the reality of using ecological tools in applied contexts, while highlighting the underlying theories so the link between theory and practice is clear.

Ecology: From Ecosystem to Biosphere

Автор: Christian Leveque
Название: Ecology: From Ecosystem to Biosphere
ISBN: 1578082943 ISBN-13(EAN): 9781578082940
Издательство: Taylor&Francis
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Цена: 29093.00 р.
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Описание: This book provides an understanding of the joint dynamics of physical, chemical, and biological components of the ecosystem, and describes the role of ecology as an operational environmental science in solving environmental problems.

The Systems View of Life

Автор: Capra
Название: The Systems View of Life
ISBN: 1316616436 ISBN-13(EAN): 9781316616437
Издательство: Cambridge Academ
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Цена: 4118.00 р.
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Описание: Taking a broad sweep through history and across scientific disciplines, this volume integrates the ideas, models, and theories underlying the systems view of life into a single coherent framework. Life`s biological, cognitive, social, and ecological dimensions are presented and its philosophical, spiritual, and political implications discussed.

Habitat ecology and analysis

Автор: Veech, Joseph A. (associate Professor, Associate Professor, Department Of Biology, Texas State University, Usa)
Название: Habitat ecology and analysis
ISBN: 0198829418 ISBN-13(EAN): 9780198829416
Издательство: Oxford Academ
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Цена: 7918.00 р.
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Описание: Provides the first concise, authoritative resource that clearly presents emerging methods together and demonstrates how they can be applied to data using statistical methodology, whilst putting the decades-old pursuit of analyzing habitat into historical context.

Spatial Pattern Analysis in Plant Ecology

Автор: Mark R. T. Dale
Название: Spatial Pattern Analysis in Plant Ecology
ISBN: 0521794374 ISBN-13(EAN): 9780521794374
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The predictability of the physical arrangement of plants is a crucial aspect of vegetation. This book describes and evaluates methods for analysing a variety of characteristics of spatial pattern. Worked examples and examples from real field studies, together with numerous line figures, help guide the reader through the text.

Applied Hierarchical Modeling In Ecology: Analysis Of Distribution, Abundance And Species Richness In R And Bugs

Автор: Kery, Marc
Название: Applied Hierarchical Modeling In Ecology: Analysis Of Distribution, Abundance And Species Richness In R And Bugs
ISBN: 0128095857 ISBN-13(EAN): 9780128095850
Издательство: Elsevier Science
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Цена: 13699.00 р.
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Описание:

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way of synthesizing data.

Handbook of Meta-Analysis in Ecology and Evolution

Автор: Koricheva Julia
Название: Handbook of Meta-Analysis in Ecology and Evolution
ISBN: 0691137293 ISBN-13(EAN): 9780691137292
Издательство: Wiley
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Цена: 11880.00 р.
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Описание: "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 "--


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