Monitoring and Predicting Forest Growth and Dynamics

Collalti, A. and Dalmonech, D. and Vangi, E. and Marano, G. and Puchi, P.F. and Morichetti, M. and Saponaro, V. and Orrico, M.R. and Grieco, E. (2024) Monitoring and Predicting Forest Growth and Dynamics. CNR Edizioni, Roma.

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Abstract

The current book describes how to monitor and predict the growth and development of forest ecosystems by employing a bio-geochemical, bio-physical process-based model. The book is a practical manual describing the theoretical assumptions and main equations adopted from the "Three-Dimensional – Coupled Model of the Carbon Cycle – Forest Ecosystem Module" (3D-CMCC-FEM). The manual presents the scientific underlying theories upon which the model is based, detailing the logical structure and scientific foundations that have shaped the model development and the forest module in particular. It provides an accurate description of the model's evolution, detailing past developments, anticipating future advancements, and the various iterations over the years. Additionally, it outlines how the model simulates processes regulating the life of forest ecosystems and their functioning in relation to forest diverse management practices and future climate change. Thus, the manual allows for a thorough understanding of this innovative tool in forest ecology and eco-physiology research.

Item Type: Book
Uncontrolled Keywords: Forest ecosystem, Carbon cycle, forest modelling, forest ecology, climate change impact, forest management
Subjects: 500 Scienze naturali e Matematica > 570 Scienze della vita; Biologia
500 Scienze naturali e Matematica > 570 Scienze della vita; Biologia > 572 Biochimica (Classificare qui la Citochimica, l'Istochimica, le opere d'insieme su Biochimica e Biofisica; le opere interdisciplinari sulle sostanze biochimiche, sulle macromolecole)
500 Scienze naturali e Matematica > 580 Piante (Botanica) (Classificare qui la Storia naturale e la Biologia descrittiva delle piante)
Depositing User: Isabella Florio
Date Deposited: 10 May 2024 10:44
Last Modified: 13 May 2024 09:37
URI: http://eprints.bice.rm.cnr.it/id/eprint/22918

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