Name: Modelling Nature-Based Solutions: Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning (en Inglés)
SKU: 52377375
Price: 105.37 USD
Availability: InStock
Author: Sang, Neil
ISBN: 9781108428934

portada Modelling Nature-Based Solutions: Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning (en Inglés)

Modelling Nature-Based Solutions: Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning (en Inglés)

Formato

Libro Físico

Ilustrado por

Neil Sang

Editorial

Cambridge University Press

Autor

Sang, Neil

Año

2020

Idioma

Inglés

N° páginas

400

Encuadernación

Tapa Dura

Dimensiones

23.1x16.3x2 cm

Peso

0.73 kg.

ISBN13

9781108428934

Categorías

Ecología aplicada
Gestión medioambiental

Modelling Nature-Based Solutions: Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning (en Inglés)

Neil Sang (Ilustrado por) · Cambridge University Press · Tapa Dura

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Reseña del libro "Modelling Nature-Based Solutions: Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning (en Inglés)"

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.