Monitoring Coastal Marine Ecosystems Under Climate Change: Machine Learning and Artificial Intelligence Techniques

K. K. Basheer Ahammed (Curatore)

Arvind Chandra Pandey (Curatore)

Springer Nature Switzerland AG, 2026

Coastal and marine ecosystems play a crucial role in sustaining life on our planet. However, they are under increasing threat due to climate change and the growing human impact. This edited volume delves into the dynamic and evolving landscape of climate change impacts on coastal and marine ecosystems, exploring innovative tools and techniques for ecosystem vulnerability assessment, monitoring, and management. It provides a holistic perspective on these ecosystems, including their various types, and promotes the development of robust mitigation plans to adapt to climate change impacts. In addition, it emphasizes the deployment of cutting-edge technologies such as Geospatial technology and advanced computational methods, which play a pivotal role in planning and mitigating the consequences of climate change in coastal and marine areas. Recent advancements in Machine Learning and Artificial Intelligence (ML/AI) have shown tremendous potential in revolutionizing our understanding and management of these ecosystems. The book offers a comprehensive understanding of how ML/AI techniques are reshaping the study and management of coastal marine ecosystems. It provides in-depth knowledge about various ML/AI applications, their benefits, and their challenges. By bringing together experts in ML/AI and marine science, it bridges the gap between these two fields, fostering interdisciplinary collaboration. It paves the way for integrated approaches to address climate change impacts on coastal marine ecosystems. Practical applications of ML/AI are also discussed, illustrating how these techniques can be employed for ecosystem monitoring, risk assessment, and management. This book is a timely addition to scientific literature, addressing the urgent need for innovative approaches to tackle climate change impacts on coastal and marine ecosystems. By integrating ML/AI techniques with traditional methods, it provides a comprehensive resource that equips researchers, policymakers, and practitioners with cutting-edge tools to assess, monitor, and manage these invaluable ecosystems. This book will make a significant contribution to the scientific community in several ways:  Holistic Information on ML/AI Techniques: The book offers a comprehensive understanding of how ML/AI techniques are reshaping the study and management of coastal marine ecosystems. It provides in-depth knowledge about various ML/AI applications, their benefits, and their challenges.  Bridging the Gap: By bringing together experts in ML/AI and marine science, this book bridges the gap between these two fields, fostering interdisciplinary collaboration. It paves the way for integrated approaches to address climate change impacts on coastal marine ecosystems.  Practical Applications: The book focuses on practical applications of ML/AI, illustrating how these techniques can be employed for ecosystem monitoring, risk assessment, and management. It addresses the real-world challenges faced by coastal communities and provides insights on effective solutions.

• Curatore: K. K. Basheer Ahammed, Arvind Chandra Pandey
• Editore: Springer Nature Switzerland AG
• Anno: 2026
• Rilegatura: Hardback
• Pagine: 561 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783032091369

Testo in English