The 3D-CMCC-FEM is biogeochemical, biophysical forest model that simulates the dynamics occurring in homogeneous and heterogeneous forests with different plant species, for different age, diameter and height classes. The model can reproduce forests from simple up to forests with a complex canopy structure (i.e. constituted by cohorts competing for light and water resources). The 3D-CMCC-FEM simulates carbon fluxes, in terms of gross and net primary productivity (GPP and NPP, respectively), partitioning and allocation in the main plant compartments (stem, branch, leaf, fruit, fine and coarse root, non-structural carbon) and water fluxes in terms of leaf and canopy transpiration, canopy and soil evaporation and the overall forest water balance. In the recent versions, nitrogen fluxes and allocation, in the same carbon pools, are also reproduced. The 3D-CMCC-FEM also takes into account managementpractices, as thinning and harvest, to predict their effects on forest growth and carbon sequestration. The3D-CMCC-FEM is written in C-programming language and divided into several subroutines. To run themodel, some input data are required. The meteorological forcing variables, on a daily time step, arerepresented by average, minimum and maximum air temperature, shortwave solar radiation,precipitation, vapor pressure deficit (or relative humidity). The model also needs some basic informationabout soil, such as soil depth and texture (clay, silt and sand fractions), as well as the forest standinformation referred to plant species, ages, diameters, heights and stand density. An additional input isrepresented by species-specific eco-physiological data for the model parameterization. Copyright © 2023,Forest Modelling Laboratory - 3D-CMCC-FEM. All rights reserved.

3D-CMCC-FEM (Coupled Model Carbon Cycle) BioGeoChemical and Biophysical Forest Ecosystem Model User's Guide (v.5.x.x)

Alessio Collalti;Daniela Dalmonech;Elisa Grieco;Elia Vangi;Maria Rosaria Orrico
2023

Abstract

The 3D-CMCC-FEM is biogeochemical, biophysical forest model that simulates the dynamics occurring in homogeneous and heterogeneous forests with different plant species, for different age, diameter and height classes. The model can reproduce forests from simple up to forests with a complex canopy structure (i.e. constituted by cohorts competing for light and water resources). The 3D-CMCC-FEM simulates carbon fluxes, in terms of gross and net primary productivity (GPP and NPP, respectively), partitioning and allocation in the main plant compartments (stem, branch, leaf, fruit, fine and coarse root, non-structural carbon) and water fluxes in terms of leaf and canopy transpiration, canopy and soil evaporation and the overall forest water balance. In the recent versions, nitrogen fluxes and allocation, in the same carbon pools, are also reproduced. The 3D-CMCC-FEM also takes into account managementpractices, as thinning and harvest, to predict their effects on forest growth and carbon sequestration. The3D-CMCC-FEM is written in C-programming language and divided into several subroutines. To run themodel, some input data are required. The meteorological forcing variables, on a daily time step, arerepresented by average, minimum and maximum air temperature, shortwave solar radiation,precipitation, vapor pressure deficit (or relative humidity). The model also needs some basic informationabout soil, such as soil depth and texture (clay, silt and sand fractions), as well as the forest standinformation referred to plant species, ages, diameters, heights and stand density. An additional input isrepresented by species-specific eco-physiological data for the model parameterization. Copyright © 2023,Forest Modelling Laboratory - 3D-CMCC-FEM. All rights reserved.
2023
Istituto per i Sistemi Agricoli e Forestali del Mediterraneo - ISAFOM
Istituto per la BioEconomia - IBE
978-88-8080-573-1
3 Dimensional
Coupled Model Carbon Cycle
Forest Ecosystem Model
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Descrizione: 3D-CMCC-FEM Model user's giude
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/455910
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