Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Ecological and evolutionary modelling
~
SpringerLink (Online service)
Ecological and evolutionary modelling
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Ecological and evolutionary modelling/ by 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:
Ecology - Mathematical models. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-92150-1
ISBN:
9783319921501
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
Standard No.: 10.1007/978-3-319-92150-1doiSubjects--Topical Terms:
528208
Ecology
--Mathematical models.
LC Class. No.: QH541.15.M3
Dewey Class. No.: 577.015118
Ecological and evolutionary modelling
LDR
:03129nam a2200349 a 4500
001
926832
003
DE-He213
005
20181227142924.0
006
m d
007
cr nn 008maaau
008
190626s2018 gw s 0 eng d
020
$a
9783319921501
$q
(electronic bk.)
020
$a
9783319921495
$q
(paper)
024
7
$a
10.1007/978-3-319-92150-1
$2
doi
035
$a
978-3-319-92150-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QH541.15.M3
072
7
$a
PSAF
$2
bicssc
072
7
$a
GPH
$2
bicssc
072
7
$a
SCI020000
$2
bisacsh
072
7
$a
MAT003000
$2
bisacsh
082
0 4
$a
577.015118
$2
23
090
$a
QH541.15.M3
$b
E19 2018
245
0 0
$a
Ecological and evolutionary modelling
$h
[electronic resource] /
$c
by Cang Hui ... [et al.].
260
$a
Cham :
$c
2018.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
ix, 86 p. :
$b
digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in ecology,
$x
2192-4759
505
0
$a
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.
520
$a
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.
650
0
$a
Ecology
$x
Mathematical models.
$3
528208
650
0
$a
Ecology
$x
Computer simulation.
$3
891876
650
0
$a
Evolution (Biology)
$x
Mathematical models.
$3
595289
650
0
$a
Evolution (Biology)
$x
Computer simulation.
$3
1205738
650
1 4
$a
Life Sciences.
$3
593888
650
2 4
$a
Theoretical Ecology/Statistics.
$3
678528
650
2 4
$a
Evolutionary Biology.
$3
668573
650
2 4
$a
Genetics and Population Dynamics.
$3
670124
650
2 4
$a
Biodiversity.
$3
593899
650
2 4
$a
Community & Population Ecology.
$3
678490
650
2 4
$a
Game Theory, Economics, Social and Behav. Sciences.
$3
669497
700
1
$a
Hui, Cang.
$3
1205737
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in ecology.
$3
1023470
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-92150-1
950
$a
Biomedical and Life Sciences (Springer-11642)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login