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

Edited by (Swedish University of Agricultural Sciences)
  • Formatas: PDF+DRM
  • Išleidimo metai: 12-Mar-2020
  • Leidėjas: Cambridge University Press
  • Kalba: eng
  • ISBN-13: 9781108674546

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This book joins two domains of knowledge together: modelling and environmental management. It provides readers with an integrated, but modularised, body of knowledge spanning these domains in a single, accessible form. A must-read for students, researchers and practitioners within environmental science and planning related subjects.

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.

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This book will help decision makers model nature-based solutions to the complex problem of sustainable development, locally and globally.
List of Contributors
vii
Foreword xi
Carl Steinitz
Acknowledgements xii
Introduction 1(18)
Neil Sang
1 Landscape Modelling and Stakeholder Engagement: Participatory Approaches and Landscape Visualisation
19(37)
David Miller
Asa Ode-Sang
Iain Brown
Tose Munoz-Rotas
Chen Wang
Gillian Donaldson-Selby
2 Agent-based Models of Coupled Social and Natural Systems
56(26)
Tiaqi Ge
Gary Polhill
3 Modelling Nature-based Solutions from Soil Ecosystem Services
82(18)
Matthew Aitkenhead
4 Modelling Water Resources for Nature-based Solutions
100(52)
Sarah Dunn
5 Models at the Service of Marine Nature-based Solutions
152(58)
Ioanna Akoumianaki
Arthur Capet
6 Coastal and Freshwater Flood Models: A Review in the Context of NBS
210(37)
Neil Sang
7 Nature-based Solutions to Urban Microclimate Regulation
247(29)
Johanna Dear Stoman
Erik Johansson
8 Data Mining, Machine Learning and Spatial Data Infrastructures for Scenario Modelling
276(29)
Neil Sang
Matthew Aitkenhead
9 Can Geodesign Be Used to Facilitate Boundary Management for Planning and-Implementation of Nature-based Solutions?
305(36)
Sarah Gottwald
Ron Janssen
Christopher Raymond
10 Integrating Models into Practice -- Recommendations
341(11)
Neil Sang
Ioanna Akoumianaki
Matthew Aitkenhead
David Miller
Asa Ode-Sang
Appendix: List of Models/Software 352(4)
Index 356
Neil S. Sang is a researcher in Geographical Information Science (GIS) at the Department of Landscape Architecture, Planning and Management, Swedish University of Agricultural Science (SLU). His research interests are broad, covering a range of modelling approaches such as GIS, optimisation and AI, simulation modelling, remote sensing, citizen science, and geodesign. Formerly at the James Hutton Institute, UK, he has worked in a wide range of subject areas within socio-environmental science.