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The theme of this volume is to discuss the Ecological Networks in an Agricultural World. The volume covers important topics such Networking Agroecology, Construction and Va… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
The theme of this volume is to discuss the Ecological Networks in an Agricultural World. The volume covers important topics such Networking Agroecology, Construction and Validation of Food-webs using Logic-based Machine Learning and Text-mining and Eco-evolutionary dynamics in agricultural networks.
Series Page
Contributors
Preface: Editorial Commentary: The Potential for Network Approaches to Improve Knowledge, Understanding, and Prediction of the Structure and Functioning of Agricultural Systems
Acknowledgements
References
Chapter One. Networking Agroecology: Integrating the Diversity of Agroecosystem Interactions
Abstract
1 Introduction
2 What is a Network?
3 The Agricultural Landscape as a Network of Agricultural, Semi-natural and Natural Habitats
4 Linking Structure, Functioning and Services
5 Evaluating and Predicting Ecosystem Change
6 Conclusion
References
Glossary
Chapter Two. Connecting the Green and Brown Worlds: Allometric and Stoichiometric Predictability of Above- and Below-Ground Networks
Abstract
Abbreviations
1 Introduction
2 Aims and Rationale
3 Can a Stoichiometrically Explicit First Trophic Level Be Parameterised?
4 The Advantages of Stoichiometric Plasticity
5 Constrained Resources, Isotopic Signatures and Networks
6 Antagonism Above, Mutualism Below: Nature or Agriculture?
7 Scaling Stoichiometry Provides a Bridge to Ecosystem Processes
8 Be Explicit: Can We Reach a Consensus?
Acknowledgements
References
Chapter Three. Empirically Characterising Trophic Networks: What Emerging DNA-Based Methods, Stable Isotope and Fatty Acid Analyses Can Offer
Abstract
1 Introduction
2 Molecular Approaches to Analyse Trophic Interactions
3 Stable Isotope Analysis
4 Fatty Acid Analysis
5 Which Approach to Choose, How to Start and How to Interpret the Data?
Acknowledgements
References
Glossary
Chapter Four. Construction and Validation of Food Webs Using Logic-Based Machine Learning and Text Mining
Abstract
1 Introduction
2 Methods
3 Results
4 Discussion and Conclusions
Acknowledgements
References
Chapter Five. Interaction Networks in Agricultural Landscape Mosaics
Abstract
1 Introduction
2 Ecological Patterns and Processes in Spatially Structured Ecosystems
3 The Goals of Agricultural Landscape Mosaics Studies: Management for Crop Production and Other Ecosystem Services
4 Specific Properties of Agricultural Landscape Mosaics: Temporal and Spatial Heterogeneity
5 Metaecosystems and Agricultural Landscape Mosaics
6 Conclusion
Acknowledgements
References
Chapter Six. Eco-Evolutionary Dynamics of Agricultural Networks: Implications for Sustainable Management
Abstract
1 Introduction
2 Within Field, Applying Evolutionary Perspectives to the Selection of Agricultural Species
3 Disturbances Due to Agriculture: Implications for Eco-Evolutionary Dynamics Within Surrounding Ecosystems
4 Accounting for Spatial Heterogeneities: Dispersal, Fragmentation, and Evolution in Agricultural Landscapes
5 Perspectives and Challenges
Acknowledgements
References
Glossary
Chapter Seven. Modelling Interaction Networks for Enhanced Ecosystem Services in Agroecosystems
Abstract
1 Introduction
2 Which Network Model for Which Ecosystem Service Question?
3 Toward a Comprehensive Approach That Links Networks and Services
4 Conclusions and Future Directions
Acknowledgements
References
Index
Advances in Ecological Research Volume 1–49
GW
DB
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.