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Land Carbon Cycle Modeling: Matrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning

ISBN-10: 1032698497
ISBN-13: 978-1032698496
Edition: 2nd
Publisher: CRC Press

Explore the dynamic land carbon cycle with “Land Carbon Cycle Modeling: Matrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning.” This essential second edition delves into predicting the impact of added carbon on ecosystems, vital for understanding climate change. Discover new approaches using matrix modeling, data assimilation for enhanced model accuracy, and real-time ecological forecasting for informed decisions. Featuring seven new chapters, including cutting-edge machine learning applications and carbon dioxide removal strategies, this book offers a comprehensive framework for researchers and practitioners. Understand, implement, and critique land carbon cycle models with theoretical insights, technical details, and practical applications. This revised edition provides a robust foundation for ecological forecasting and decision-making in a changing climate.