Nature-Based Solutions in Supporting Sustainable Development Goals - Couverture souple

Couverture souple

ISBN 10 : 0443217823 ISBN 13 : 9780443217821

Editeur : Elsevier, 2024

Synopsis

This book catalogs the evidence based on the social, economic and environmental effectiveness of Nature based Solutions (NbS) to face environmental challenges and simultaneously provide a better understanding of associated social-ecological interactions.

NbS are reframing discussion and policy responses worldwide to environmental challenges. The concept builds on and complements other closely related concepts, such as the ecosystem approach, ecosystem services, ecosystem-based adaptation/mitigation, disaster risk reduction, sponge cities, and green/blue infrastructures. The quantification of existing NbS' effectiveness, their operationalization and replication in different environmental settings are presented here in such a way that allows them to be both widely accepted and incorporated in policy development and in practical implementation.

A propos du livre

À propos des auteurs

Haozhi Pan integrates regional economics and spatial data science to explore how cities can achieve economic growth and digital smartness. His work also focuses on co-governance goals such as carbon neutrality and citizen participation.

Zahra Kalantari has successfully led and carried out interdisciplinary research with focus on understanding of earth and human systems to develop science, technology and innovation solutions to planet's most pressing environmental challenges associated with the combined effects of changes in climate, land-use and water-use in terrestrial environments.

Carla Ferreira's main research interests include land degradation and restoration, impacts of anthropogenic activities and climate change on land at different scales, nature-based solutions and ecosystem services, and sustainable land-use planning.

Cong Cong's research focuses on using data, computing, and informatic tools to inform more effective decision-making. She explores the intersection of computer science and urban planning and uses large-scale urban modeling, and spatial big data analysis as exploratory techniques.

Détails de l'édition

• Éditeur: Elsevier
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 0443217823
• ISBN 13: 9780443217821
• Reliure: Broché
• Nombre de pages: 240
• Éditeur: Pan, Kalantari, Ferreira, Cong
• Coordonnées du fabricant: non disponible
• Personne responsable: Barbara Criscuolo; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; 20141; Italie