Hidden Bibliographic Details
| Other authors / contributors: | Landi, Pietro (Systems analyst), author.
Minoarivelo, Henintsoa Onivola, author.
Ramanantoanina, Andriamihaja, author.
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| ISBN: | 9783319921501
3319921509
9783319921495
3319921495
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| Digital file characteristics: | text file PDF
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| Notes: | Includes bibliographical references and index.
Online resource; title from digital title page (ProQuest Ebook Central, viewed August 6, 2018).
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| Summary: | "Ecology studies biodiversity in its variety and complexity. It describes how species distribute and perform in response to environmental changes. Ecological processes and structures are highly complex and adaptive. In order to quantify emerging ecological patterns and investigate their hidden mechanisms, we need to rely on the simplicity of mathematical language. Ecological patterns are emerging structures observed in populations, communities and ecosystems. Elucidating drivers behind ecological patterns can greatly improve our knowledge of how ecosystems assemble, function and respond to change and perturbation. Mathematical ecology has, thus, become an important interdisciplinary research field that can provide answers to complex global issues, such as climate change and biological invasions. The aim of this book is to (i) introduce key concepts in ecology and evolution, (ii) explain classic and recent important mathematical models for investigating ecological and evolutionary dynamics, and (iii) provide real examples in ecology/biology/environmental sciences that have used these models to address relevant issues. Readers are exposed to the key concepts, frameworks, and terminology in the studies of ecology and evolution, which will enable them to ask the correct and relevant research questions, and frame the questions using appropriate mathematical models."--Provided by publisher.
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| Other form: | Print version: ECOLOGICAL AND EVOLUTIONARY MODELLING. [S.l.] : SPRINGER INTERNATIONAL PU, 2018 3319921495
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| Standard no.: | 10.1007/978-3-319-92150-1
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