Invasion dynamics:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Oxford University Press
2017
|
| Ausgabe: | First edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis Klappentext |
| Beschreibung: | X, 322 Seiten Illustrationen, Diagramme, Karten |
| ISBN: | 9780198745341 9780198745334 |
Internformat
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| 245 | 1 | 0 | |a Invasion dynamics |c Cang Hui (Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University; African Institute for Mathematical Sciences) and David M. Richardson (Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University) |
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Datensatz im Suchindex
| _version_ | 1804176897352925184 |
|---|---|
| adam_text | Titel: Invasion dynamics
Autor: Hui, Cang
Jahr: 2017
Contents
1 Setting the scene 1
1.1 Background 1
1.2 A history of invasion science 1
1.2.1 Preparing the stage 1
1.2.2 Charles Elton to 1980 3
1.2.3 1980-2010 6
1.2.4 Since 2010 9
1.3 The scope of the book 12
References 14
Parti Spread 19
2 The dynamics of spread 21
2.1 Introduction 21
2.2 Exponential and sigmoidal expansion 22
2.3 Linear expansion 26
2.4 Biphasic expansion 28
2.5 Acceleration 33
2.6 Lag phase 34
2.7 Boom and bust 37
2.8 Concordance and discordance 39
References 4:2
3 Modelling spatial dynamics 48
3.1 Introduction 4:8
3.2 Modelling core 49
3.2.1 Movement and dispersal 49
3.2.2 Reaction and diffusion 51
3.2.3 Integrodifference equations and dispersal kernels 53
3.3 Modelling context 54
3.3.1 Environmental heterogeneity 54
3.3.2 Other contextual factors 57
Vili CONTENTS
3.4 Modelling methods 58
3.4.1 Individual-based models 58
3.4.2 Cellular automata and lattice models 60
3.4.3 Gravity, network, and metapopulation models 62
3.5 Conclusions 63
References 64
4 From dispersal to boosted range expansion 70
4.1 Boosted range expansion 70
4.1.1 Boosted invasion dynamics 71
4.1.2 Reid s paradox 72
4.2 Rapid evolution at the range front 73
4.2.1 Dispersal syndrome 73
4.2.2 Spatial sorting and selection 74
4.3 Augmented dispersal 77
4.3.1 Dispersal and its kernels 77
4.3.2 Long-distance dispersal 78
4.3.3 Human-mediated dispersal 81
4.4 Skellam s formula revised 86
References 88
5 Non-equilibrium dynamics 96
5.1 Balance of nature 96
5.2 Positive density dependence: the Allee effect 101
5.3 Negative density dependence 104
5.4 Niche shifts 106
5.5 Spatial synchrony 110
5.6 Space-for-time substitution 113
5.7 Spatial autoregressive models 114
References 117
Part II Impact 127
6 Biotic interactions 129
6.1 Pairwise interactions 129
6.1.1 A simple model 129
6.1.2 Antagonism 130
6.1.3 Mutualism 132
6.1.4 Competition 134
6.2 Mediated interactions 136
6.3 Interaction strength 139
6.4 Spatial interactions 145
6.5 Interaction promiscuity and switching 148
6.6 Novel eco-evolutionary experiences 151
References 157
CONTENTS ix
7 Regime shifts 169
7.1 Regime and bifurcation 169
7.2 System reshuffling 172
7.3 Evolutionary regimes 173
7.4 Early warning signals 174
7.4.1 Critical slowing down 174
7.4.2 Other early warning signals 177
7.5 Minnow-bass bistability 178
7.6 Reinforcing feedbacks during invasion 181
References 185
8 Community assembly and succession 191
8.1 Ecological community invaded 191
8.2 Species coexistence 192
8.3 Assembly succession via invasion 196
8.3.1 Community succession 196
8.3.2 Local-scale succession 198
8.3.3 Regional-scale succession 200
8.4 Diversity signature 202
8.4.1 Invasion paradox 202
8.4.2 Species turnover 207
8.5 Large-scale assembly patterns 210
8.5.1 Alien island biogeography 210
8.5.2 Alien biomes 211
References 216
9 Monitoring and management 222
9.1 Introduction 222
9.2 Essential variables for monitoring 222
9.3 Monitoring strategies 227
9.4 Impact and risk metrics 231
9.5 Prioritization 233
9.6 Invasion debt 236
9.7 Political will 238
9.8 Bioeconomics of optimal control 239
9.9 Economic valuation 243
9.10 Dynamic programming 246
9.11 Spatial optimization 250
References 254
Part III Synthesis 265
10 Complex adaptive networks 267
10.1 Ecological networks under invasion 267
10.2 Ecological network architecture 269
X CONTENTS
10.3 Network emergence via interaction switching
10.4 Invasibility of ecological networks
10.5 Network architecture and stability
10.6 Co-evolving networks under invasion
10.7 Profiling an invader
10.8 Evolving towards marginal stability
References
11 Managing biological invasions in the Anthropocene
11.1 Background
11.2 Biological invasions and social-ecological systems
11.3 The driver, pressure, state, impact, response (DPSIR) framework
11.4 Biological invasions as a wicked problem
11.5 Biological invasions and novel ecosystems
11.6 Invasion science 2050
References
270
275
279
282
284
286
287
294
294
300
301
303
304
306
307
Glossary
Taxonomic index
General index
309
317
319
Contents
R
1 Setting the scene 1
1.1 Background 1
1.2 A history of invasion science 1
1.2.1 Preparing the stage 1
1.2.2 Charles Elton to 1980 3
1.2.3 1980-2010 6
1.2.4 Since 2010 9
1.3 The scope of the book 12
References 14
Parti Spread 19
2 The dynamics of spread 21
2.1 Introduction 21
2.2 Exponential and sigmoidal expansion 22
2.3 Linear expansion 26
2.4 Biphasic expansion 28
2.5 Acceleration 33
2.6 Lag phase 34
2.7 Boom and bust 37
2.8 Concordance and discordance 39
References 42
3 Modelling spatial dynamics 48
3.1 Introduction 48
3.2 Modelling core 49
3.2.1 Movement and dispersal 49
3.2.2 Reaction and diffusion 51
3.2.3 Integrodifference equations and dispersal kernels 53
3.3 Modelling context 54
3.3.1 Environmental heterogeneity 54
3.3.2 Other contextual factors 57
VIII
CONTENTS
3.4 Modelling methods 58
3.4.1 Individual-based models 58
3.4.2 Cellular automata and lattice models 60
3.4.3 Gravity, network, and metapopulation models 62
3.5 Conclusions 63
References 64
4 From dispersal to boosted range expansion 70
4.1 Boosted range expansion 70
4.1.1 Boosted invasion dynamics 71
4.1.2 Reid s paradox 72
4.2 Rapid evolution at the range front 73
4.2.1 Dispersal syndrome 73
4.2.2 Spatial sorting and selection 74
4.3 Augmented dispersal 77
4.3.1 Dispersal and its kernels 77
4.3.2 Long-distance dispersal 78
4.3.3 Human-mediated dispersal 81
4.4 Skellam s formula revised 86
References 88
5 Non-equilibrium dynamics 96
5.1 Balance of nature 96
5.2 Positive density dependence: the Allee effect 101
5.3 Negative density dependence 104
5.4 Niche shifts 106
5.5 Spatial synchrony 110
5.6 Space-for-time substitution 113
5.7 Spatial autoregressive models 114
References 117
Part II Impact 127
6 Biotic interactions 129
6.1 Pairwise interactions 129
6.1.1 A simple model 129
6.1.2 Antagonism 130
6.1.3 Mutualism 132
6.1.4 Competition 134
6.2 Mediated interactions 136
6.3 Interaction strength 139
6.4 Spatial interactions 145
6.5 Interaction promiscuity and switching 148
6.6 Novel eco-evolutionary experiences 151
References 157
CONTENTS ix
7 Regime shifts 169
7.1 Regime and bifurcation 169
7.2 System reshuffling 172
7.3 Evolutionary regimes 173
7.4 Early warning signals 174
7.4.1 Critical slowing down 174
7.4.2 Other early warning signals 177
7.5 Minnow-bass bistability 178
7.6 Reinforcing feedbacks during invasion 181
References 185
8 Community assembly and succession 191
8.1 Ecological community invaded 191
8.2 Species coexistence 192
8.3 Assembly succession via invasion 196
8.3.1 Community succession 196
8.3.2 Local-scale succession 198
8.3.3 Regional-scale succession 200
8.4 Diversity signature 202
8.4.1 Invasion paradox 202
8.4.2 Species turnover 207
8.5 Large-scale assembly patterns 210
8.5.1 Alien island biogeography 210
8.5.2 Alien biomes 211
References 216
9 Monitoring and management 222
9.1 Introduction 222
9.2 Essential variables for monitoring 222
9.3 Monitoring strategies 227
9.4 Impact and risk metrics 231
9.5 Prioritization 233
9.6 Invasion debt 236
9.7 Political will 238
9.8 Bioeconomics of optimal control 239
9.9 Economic valuation 243
9.10 Dynamic programming 246
9.11 Spatial optimization 250
References 254
Part IN Synthesis 265
10 Complex adaptive networks 267
10.1 Ecological networks under invasion 267
10.2 Ecological network architecture 269
X CONTENTS
10.3 Network emergence via interaction switching 270
10.4 Invasibility of ecological networks 275
10.5 Network architecture and stability 279
10.6 Co-evolving networks under invasion 282
10.7 Profiling an invader 284
10.8 Evolving towards marginal stability 286
References 287
11 Managing biological invasions in the Anthropocene 294
11.1 Background 294
11.2 Biological invasions and social-ecological systems 300
11.3 The driver, pressure, state, impact, response (DPSIR) framework 301
11.4 Biological invasions as a wicked problem 303
11.5 Biological invasions and novel ecosystems 304
11.6 Invasion science 2050 306
References 307
Glossary 309
Taxonomic index 317
Generalindex 319
Humans have moved organisms around the world for centuries, but it is only relatively
recently that invasion ecology has grown into a mainstream research field. This book
examines both the spread and impact dynamics of invasive species, placing the science
of invasion biology on a new, more rigorous, theoretical footing. Furthermore, it proposes
a concept of adaptive networks as the foundation for future research. Biological invasions
are therefore considered not as simple actions of invaders and reactions of invaded
ecosystems, but as co-evolving complex adaptive systems with emergent features of
network complexity and invasibilily.
Invasion Dynamics focuses on the ecology of invasive species and their impacts in
recipient social-ecological systems. It not only discusses key advances and challenges
within the traditional domain of invasion ecology, but introduces approaches, concepts,
and insights from many other disciplines such as complexity science, systems science,
and ecology more broadly. It will be of great value to invasion biologists analysing
spread and/or impact dynamics as well as other ecologists interested in spread
processes or habitat management.
Cang Hui is a Professor of Mathematical Biology and the South African Research Chair in
Mathematical and Theoretical Physical Biosciences at Stellenbosch University, South Africa.
He is also a core team member of the DST-NRF Centre of Excellence for Invasion Biology
and is affiliated with the African Institute for Mathematical Sciences. His research interests
are proposing models and theories for explaining patterns of biodiversity, networks and
traits in ecology and evolution, and biological invasions are a key model system for
his research.
David M. Richardson is a Distinguished Professor of Ecology at Stellenbosch University,
South Africa, and is Director of the DST-NRF Centre of Excellence for Invasion Biology.
His research focuses mainly on plant invasions, especially the invasion ecology of trees
and shrubs. He is author/co-author of more than 370 papers and chapters in books and
has edited/co-edited six books, including Fifty Years of Invasion Ecology (Wiley-Blackwell,
2011). He was Editor-in-Chief of the journal Diversify and Distributions between 1998
and 2015.
ISBN 978-0-19-874533-4
78
198
745334
9
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| id | DE-604.BV043948742 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:39:29Z |
| institution | BVB |
| isbn | 9780198745341 9780198745334 |
| language | English |
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| publisher | Oxford University Press |
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| spelling | Hui, Cang 1977- (DE-588)1014513456 aut Invasion dynamics Cang Hui (Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University; African Institute for Mathematical Sciences) and David M. Richardson (Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University) First edition Oxford Oxford University Press 2017 X, 322 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier Ökosystem (DE-588)4043216-6 gnd rswk-swf Mathematische Modellierung (DE-588)7651795-0 gnd rswk-swf Biomathematik (DE-588)4139408-2 gnd rswk-swf Invasive Art (DE-588)7713286-5 gnd rswk-swf Invasive Art (DE-588)7713286-5 s Ökosystem (DE-588)4043216-6 s Mathematische Modellierung (DE-588)7651795-0 s Biomathematik (DE-588)4139408-2 s DE-604 Richardson, David M. 1958- Verfasser (DE-588)142881015 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029357648&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029357648&sequence=000005&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029357648&sequence=000006&line_number=0003&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Hui, Cang 1977- Richardson, David M. 1958- Invasion dynamics Ökosystem (DE-588)4043216-6 gnd Mathematische Modellierung (DE-588)7651795-0 gnd Biomathematik (DE-588)4139408-2 gnd Invasive Art (DE-588)7713286-5 gnd |
| subject_GND | (DE-588)4043216-6 (DE-588)7651795-0 (DE-588)4139408-2 (DE-588)7713286-5 |
| title | Invasion dynamics |
| title_auth | Invasion dynamics |
| title_exact_search | Invasion dynamics |
| title_full | Invasion dynamics Cang Hui (Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University; African Institute for Mathematical Sciences) and David M. Richardson (Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University) |
| title_fullStr | Invasion dynamics Cang Hui (Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University; African Institute for Mathematical Sciences) and David M. Richardson (Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University) |
| title_full_unstemmed | Invasion dynamics Cang Hui (Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University; African Institute for Mathematical Sciences) and David M. Richardson (Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University) |
| title_short | Invasion dynamics |
| title_sort | invasion dynamics |
| topic | Ökosystem (DE-588)4043216-6 gnd Mathematische Modellierung (DE-588)7651795-0 gnd Biomathematik (DE-588)4139408-2 gnd Invasive Art (DE-588)7713286-5 gnd |
| topic_facet | Ökosystem Mathematische Modellierung Biomathematik Invasive Art |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029357648&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029357648&sequence=000005&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029357648&sequence=000006&line_number=0003&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT huicang invasiondynamics AT richardsondavidm invasiondynamics |
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