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Modelling Nature-based Solutions: Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning

✍ Scribed by Neil Sang (editor)


Publisher
Cambridge University Press
Year
2020
Tongue
English
Leaves
403
Category
Library

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✦ Synopsis


Nature-based solutions (NBS) are essential to ensure a sustainable society and healthy ecosystem over the coming decades. However, the systems to be managed are both broad and complex, requiring an integrated understanding of both bio-physical systems, such as soils and water, and economic and social systems, such as urban development and human behaviour. This edited book joins these domains of knowledge together from an applied perspective and considers how computer science can help. It takes a strategic look at the benefits and barriers to using modelling within environmental management and planning practice. It delves further by providing an in-depth comparative review of a wide range of models from a variety of scientific disciplines of interest with examples of their use for NBS. As such, this illustrated guide is designed to help students, researchers and practitioners navigate the huge range of modelling options available and develop the common understanding to work inter-disciplinarily.

✦ Table of Contents


Contents
List of Contributors
Foreword
Acknowledgements
Introduction
1 Landscape Modelling and Stakeholder Engagement: Participatory Approaches and Landscape Visualisation
2 Agent-based Models of Coupled Social and Natural Systems
3 Modelling Nature-based Solutions from Soil Ecosystem Services
4 Modelling Water Resources for Nature-based Solutions
5 Models at the Service of Marine Nature-based Solutions
6 Coastal and Freshwater Flood Models: A Review in the Context of NBS
7 Nature-based Solutions to Urban Microclimate Regulation
8 Data Mining, Machine Learning and Spatial Data Infrastructures for Scenario Modelling
9 Can Geodesign Be Used to Facilitate Boundary Management for Planning and Implementation of Nature-based Solutions?
10 Integrating Models into Practice – Recommendations
Appendix: List of Models/Software
Index


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