Choose the location you want to see specific content and pricing for:

Modelling Nature-based Solutions

Modelling Nature-based Solutions

Modelling Nature-based Solutions

Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning
Neil Sang , Swedish University of Agricultural Sciences
April 2020
In stock
Hardback
9781108428934
$66.99
USD
Hardback
USD
eBook

    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.

    • Multiple case studies from around the world, and an overview of a range of ecosystem services, enables readers to see the potential of nature-based solutions
    • A review of models from an applied perspective provides a focus on the model's relevance to applied contexts, such as availability of data and skills, rather than just the model's capabilities
    • A wider perspective on the role of modelling within environmental management and planning helps readers to consider key benefits of models, barriers to their use, what needs to change systemically to encourage their use, and when simpler models can suffice

    Product details

    April 2020
    Hardback
    9781108428934
    376 pages
    235 × 156 × 22 mm
    0.78kg
    47 b/w illus. 24 colour illus.
    Available

    Table of Contents

    • Introduction Neil Sang
    • 1. Landscape modelling and stakeholder engagement: participatory approaches and landscape visualisation David Miller, Ã…sa Ode Sang, Iain Brown, Jose Munoz-Rojas, Chen Wang and Gillian Donaldson-Selby
    • 2. Agent-based models of coupled social and natural systems Jiaqi Ge and Gary Polhill
    • 3. Modelling nature-based solutions from soil ecosystem services Matthew Aitkenhead
    • 4. Modelling water resources for nature-based solutions Sarah Dunn
    • 5. Models at the service of marine nature-based solutions Ioanna Akoumianaki and Arthur Capet
    • 6. Coastal and freshwater flood models: a review in the context of NBS Neil Sang
    • 7. Nature-based solutions to urban microclimate regulation Johanna Deak Sjöman and Erik Johansson
    • 8. Data mining, machine learning and spatial data infrastructures for scenario modelling Neil Sang and Matthew Aitkenhead
    • 9. Can geodesign be used to facilitate boundary management for planning and implementation of nature-based solutions? Sarah Gottwald, Ron Janssen and Christopher Raymond
    • 10. Integrating models into practice-recommendations Neil Sang, Ionna Akoumianaki, Matthew Aitkenhead, David Miller and Ã…sa Ode-Sang
    • Index.
      Contributors
    • David Miller, Ã…sa Ode Sang, Iain Brown, Jose Munoz-Rojas, Chen Wang, Gillian Donaldson-Selby, Jiaqi Ge, Gary Polhill, Sarah Dunn, Ioanna Akoumianaki, Arthur Capet, Johanna Deak Sjöman, Erik Johansson, Neil Sang, Matthew Aitkenhead, Sarah Gottwald, Ron Janssen, Christopher Raymond

    • Editor
    • Neil Sang

      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.

    Thank You

    You will receive email communication regarding the availability of this product