
Networks of Invasion: Empirical Evidence and Case Studies
- 1st Edition, Volume 57 - March 15, 2017
- Imprint: Academic Press
- Editors: David Bohan, Alex Dumbrell, François Massol
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 8 1 3 3 2 8 - 6
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 3 3 2 9 - 3
Networks of Invasion: Networks of Invasion: Empirical Evidence and Case Studies, Volume 57 bridges a conceptual gap between ecological network studies and invasion biology s… Read more

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Request a sales quoteNetworks of Invasion: Networks of Invasion: Empirical Evidence and Case Studies, Volume 57 bridges a conceptual gap between ecological network studies and invasion biology studies. This book contains chapters detailing pressing concerns regarding invasive species in food webs, but also extends the idea of networks of invasion to other systems, such as mutualistic networks or even the human microbiome. Chapters describe the tools, models and empirical methods adapted for tackling invasions in ecological networks, including sections on parasites and biological invasions, invasions in freshwater systems, and those in host-associated microbiome networks.
In addition, the book provides interesting discussions on the importance of microorganisms and their relationship to macroorganisms.
- Contains chapters detailing pressing concerns regarding invasive species in food webs
- Describes the tools, models and empirical methods adapted for tackling invasions in ecological networks
- Deals with topical and important reviews on the physiology, populations and communities of plants and animals
Chapter One: Parasites and Biological Invasions: Predicting Ecological Alterations at Levels From Individual Hosts to Whole Networks
- Abstract
- 1 Introduction
- 2 Overview of Parasites and Network Analyses
- 3 Infectious Food Webs: Including Parasites in Trophic Networks
- 4 Parasites as Alien Species
- 5 How Exotic Parasites Alter Networks: Parasite–Host Interactions and Consequences
- 6 Integrating Biological Invasions Into Infectious Food Webs
- 7 Qualitative vs Quantitative Approaches
- 8 Conclusions and Forward Look
- Appendix Data for the Case Study of Enemy Release in Invasive Cichlid Fish
Chapter Two: Novel and Disrupted Trophic Links Following Invasion in Freshwater Ecosystems
- Abstract
- 1 Introduction
- 2 What Are the Impacts of Invasive Species on Trophic Links in Freshwater Ecosystems?
- 3 What Influences the Impacts of Invaders on Freshwater Food Webs?
- 4 What Are the Available Methods to Quantify the Impacts of Invaders on Trophic Links?
- 5 Conclusions and Implications
Chapter Three: Importance of Microorganisms to Macroorganisms Invasions: Is the Essential Invisible to the Eye? (The Little Prince, A. de Saint-Exupéry, 1943)
- Abstract
- 1 Introduction
- 2 Impact of Microorganism Losses on Biological Invasions
- 3 Effects of Microorganisms Hosted by the Alien Species
- 4 Effects of Microorganisms Hosted by Native Species
- 5 Anthropic Use of Microorganisms
- 6 Conclusions
- Acknowledgements
Chapter Four: Massively Introduced Managed Species and Their Consequences for Plant–Pollinator Interactions
- Abstract
- 1 Introduction
- 2 First Part: Impacts of MIMS in Plant and Pollinator Communities
- 3 Second Part: MIMS in Plant–Pollinator Networks
- 4 Conclusion
- Acknowledgements
Chapter Five: Invasions of Host-Associated Microbiome Networks
- Abstract
- 1 Introduction
- 2 Ecological and Evolutionary Concepts Applied to Microbiome Networks: In the Face of Invaders
- 3 Quantifying Invasions of the Microbiome: Data, Modelling and Theory
- 4 Unique Features of WH Communities
- 5 Experimental Tests of Microbiome Invasibility
- 6 Types of Invaders
- 7 Actively Acquired Invasions
- 8 Perspectives and Conclusions
- Acknowledgements
Advances in Ecological Research Volume 1–57
- Edition: 1
- Volume: 57
- Published: March 15, 2017
- Imprint: Academic Press
- No. of pages: 312
- Language: English
- Hardback ISBN: 9780128133286
- eBook ISBN: 9780128133293
DB
David Bohan
Dave has most recently begun to work with networks. He developed, with colleagues, a learning methodology to build networks from sample date. This has produced the largest, replicated network in agriculture. One of his particular interests is how behaviours and dynamics at the species level, as studied using the carabid-slug-weed system, build across species and their interactions to the dynamics of networks at the ecosystem level.
AD
Alex Dumbrell
FM