- Print ISBN 9780124200029
- Electronic ISBN 9780124200074
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.
- Updates and informs the reader on the latest research findings
- Written by leading experts in the field
- Highlights areas for future investigation
Preface: Editorial Commentary: The Potential for Network Approaches to Improve Knowledge, Understanding, and Prediction of the Structure and Functioning of Agricultural Systems
Chapter One. Networking Agroecology: Integrating the Diversity of Agroecosystem Interactions
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
Chapter Two. Connecting the Green and Brown Worlds: Allometric and Stoichiometric Predictability of Above- and Below-Ground Networks
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?
Chapter Three. Empirically Characterising Trophic Networks: What Emerging DNA-Based Methods, Stable Isotope and Fatty Acid Analyses Can Offer
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?
Chapter Four. Construction and Validation of Food Webs Using Logic-Based Machine Learning and Text Mining
- No. of pages:
- © 2013
- 2nd December 2013
- Academic Press
- Print ISBN:
- Electronic ISBN: