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Ecological and evolutionary modelling
~
Hui, Cang.
Ecological and evolutionary modelling
Record Type:
Electronic resources : Monograph/item
Title/Author:
Ecological and evolutionary modellingby Cang Hui ... [et al.].
other author:
Hui, Cang.
Published:
Cham :Springer International Publishing :2018.
Description:
ix, 86 p. :digital ;24 cm.
Contained By:
Springer eBooks
Subject:
EcologyMathematical models.
Online resource:
http://dx.doi.org/10.1007/978-3-319-92150-1
ISBN:
9783319921501$q(electronic bk.)
Ecological and evolutionary modelling
Ecological and evolutionary modelling
[electronic resource] /by Cang Hui ... [et al.]. - Cham :Springer International Publishing :2018. - ix, 86 p. :digital ;24 cm. - SpringerBriefs in ecology,2192-4759. - SpringerBriefs in ecology..
Preface -- 1. Biodiversity1.1. Introduction -- 1.2. Aggregation -- 1.3. Entropy -- 1.4. Coexistence -- 1.5. Co-occurrence -- 1.6. Species turnover -- 1.7. Scaling -- 2. Evolution -- 2.1. Introduction -- 2.2. Phylogeny -- 2.3. Optimality -- 2.4. Game theory -- 2.5. Adaptive dynamics -- 2.6. Evolutionary branching -- 3. Networks -- 3.1. Introduction -- 3.2. Network architecture -- 3.3. Network stability -- 3.4. Complexity-stability relationship -- 3.5. Interaction switching -- 3.6. Coevolutionary networks -- 4. Spread -- 4.1.Introduction -- 4.2. Random walks -- 4.3. Metapopulations -- 4.4. Landscape demography -- 4.5. Dispersal kernels -- 4.6. Species distribution models -- References -- Index.
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.
ISBN: 9783319921501$q(electronic bk.)
Standard No.: 10.1007/978-3-319-92150-1doiSubjects--Topical Terms:
188710
Ecology
--Mathematical models.
LC Class. No.: QH541.15.M3
Dewey Class. No.: 577.015118
Ecological and evolutionary modelling
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Preface -- 1. Biodiversity1.1. Introduction -- 1.2. Aggregation -- 1.3. Entropy -- 1.4. Coexistence -- 1.5. Co-occurrence -- 1.6. Species turnover -- 1.7. Scaling -- 2. Evolution -- 2.1. Introduction -- 2.2. Phylogeny -- 2.3. Optimality -- 2.4. Game theory -- 2.5. Adaptive dynamics -- 2.6. Evolutionary branching -- 3. Networks -- 3.1. Introduction -- 3.2. Network architecture -- 3.3. Network stability -- 3.4. Complexity-stability relationship -- 3.5. Interaction switching -- 3.6. Coevolutionary networks -- 4. Spread -- 4.1.Introduction -- 4.2. Random walks -- 4.3. Metapopulations -- 4.4. Landscape demography -- 4.5. Dispersal kernels -- 4.6. Species distribution models -- References -- Index.
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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.
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Biomedical and Life Sciences (Springer-11642)
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EB QH541.15.M3 E19 2018 2018
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http://dx.doi.org/10.1007/978-3-319-92150-1
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