Articles | Volume 9, issue 2
https://doi.org/10.5194/gmd-9-479-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-479-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
08 Feb 2016
Development and technical paper |
| 08 Feb 2016
Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites
Euro-Mediterranean Center on Climate Change – Division on
Impacts on Agriculture, Forests and Ecosystem Services (IAFES), 01100
Viterbo, Italy
University of Tuscia – Department for Innovation in
Biological, Agro-Food and Forest Systems (DIBAF), 01100 Viterbo,
Italy
S. Marconi
Euro-Mediterranean Center on Climate Change – Division on
Impacts on Agriculture, Forests and Ecosystem Services (IAFES), 01100
Viterbo, Italy
University of Tuscia – Department for Innovation in
Biological, Agro-Food and Forest Systems (DIBAF), 01100 Viterbo,
Italy
Centre for Ecosystems and Environmental Sustainability,
Dept. Chem. Engineering, Technical University of Denmark (DTU), Roskilde,
Denmark
C. Trotta
University of Tuscia – Department for Innovation in
Biological, Agro-Food and Forest Systems (DIBAF), 01100 Viterbo,
Italy
A. Anav
College of Engineering, Mathematics, and Physical
Sciences, University of Exeter, Exeter, UK
E. D'Andrea
CNR-IBAF – National Research Council of Italy, Institute
of Agroenvironmental and Forest Biology, 00015 Monterotondo Scalo, RM,
Italy
G. Matteucci
CNR-IBAF – National Research Council of Italy, Institute
of Agroenvironmental and Forest Biology, 00015 Monterotondo Scalo, RM,
Italy
CNR-ISAFOM – National Research Council of Italy,
Institute for Agriculture and Forestry Systems in the Mediterranean, 87036
Rende, CS, Italy
L. Montagnani
Forest Services, Autonomous Province of Bolzano, 39100,
Bolzano, Italy; and Faculty of Science and Technology, Free University of
Bolzano, Piazza Università 5, 39100 Bolzano, Italy
B. Gielen
Research Group of Plant and Vegetation Ecology, Department
of Biology, University of Antwerp, Belgium
I. Mammarella
University of Helsinki – Department of Physics, Division
of Atmospheric Sciences, 00014 Helsinki, Finland
T. Grünwald
Technische Universität (TU) Dresden, Institute of
Hydrology and Meteorology, Chair of Meteorology, 01062 Dresden,
Germany
Bioclimatology, Faculty of Forest Sciences and Forest
Ecology, Georg-August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany
F. Berninger
Department of Forest Sciences, University of Helsinki,
POBox 27, 00014, Helsinki
Y. Zhao
LOCEAN/IPSL, UMR 7159, Sorbonne Universitès,
Unitè mixte UPMC-CNRS-IRD-MNHN, 4 place Jussieu, 75005, Paris,
France
R. Valentini
Euro-Mediterranean Center on Climate Change – Division on
Impacts on Agriculture, Forests and Ecosystem Services (IAFES), 01100
Viterbo, Italy
University of Tuscia – Department for Innovation in
Biological, Agro-Food and Forest Systems (DIBAF), 01100 Viterbo,
Italy
M. Santini
Euro-Mediterranean Center on Climate Change – Division on
Impacts on Agriculture, Forests and Ecosystem Services (IAFES), 01100
Viterbo, Italy
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Cited
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- A Forest Model Intercomparison Framework and Application at Two Temperate Forests Along the East Coast of the United States A. Erickson & N. Strigul 10.3390/f10020180
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- Strategic roadmap to assess forest vulnerability under air pollution and climate change A. De Marco et al. 10.1111/gcb.16278
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- Simulating tree growth response to climate change in structurally diverse oak and beech forests `. de Wergifosse et al. 10.1016/j.scitotenv.2021.150422
- Assessing the combined effects of forest management and climate change on carbon and water fluxes in European beech forests V. Saponaro et al. 10.1016/j.fecs.2024.100290
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33 citations as recorded by crossref.
- Global Variability of Simulated and Observed Vegetation Growing Season D. Peano et al. 10.1029/2018JG004881
- Forest carbon allocation modelling under climate change K. Merganičová et al. 10.1093/treephys/tpz105
- A Forest Model Intercomparison Framework and Application at Two Temperate Forests Along the East Coast of the United States A. Erickson & N. Strigul 10.3390/f10020180
- Model-Based Estimation of Amazonian Forests Recovery Time after Drought and Fire Events B. De Faria et al. 10.3390/f12010008
- Simulating diverse forest management options in a changing climate on a Pinus nigra subsp. laricio plantation in Southern Italy R. Testolin et al. 10.1016/j.scitotenv.2022.159361
- Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets D. Dalmonech et al. 10.1080/22797254.2023.2301657
- Unravelling resilience mechanisms in forests: role of non-structural carbohydrates in responding to extreme weather events E. D’Andrea et al. 10.1093/treephys/tpab044
- The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling C. Phillips et al. 10.1007/s11104-016-3084-x
- Frost and drought: Effects of extreme weather events on stem carbon dynamics in a Mediterranean beech forest E. D'Andrea et al. 10.1111/pce.13858
- Plant respiration: Controlled by photosynthesis or biomass? A. Collalti et al. 10.1111/gcb.14857
- Stand Age and Climate Change Effects on Carbon Increments and Stock Dynamics E. Vangi et al. 10.3390/f15071120
- Small-Scale Forest Structure Influences Spatial Variability of Belowground Carbon Fluxes in a Mature Mediterranean Beech Forest E. D’Andrea et al. 10.3390/f11030255
- Strategic roadmap to assess forest vulnerability under air pollution and climate change A. De Marco et al. 10.1111/gcb.16278
- The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests C. Reyer et al. 10.5194/essd-12-1295-2020
- Using terrestrial laser scanning to constrain forest ecosystem structure and functions in the Ecosystem Demography model (ED2.2) F. Meunier et al. 10.5194/gmd-15-4783-2022
- Thinning Can Reduce Losses in Carbon Use Efficiency and Carbon Stocks in Managed Forests Under Warmer Climate A. Collalti et al. 10.1029/2018MS001275
- HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 2: Phenology and water cycle L. de Wergifosse et al. 10.5194/gmd-13-1459-2020
- Simulation, calibration and validation protocols for the model 3D-CMCC-CNR-FEM: a case study in the Bonis’ watershed (Calabria, Italy) A. Collalti et al. 10.3832/efor2368-014
- From Roots to Leaves: Tree Growth Phenology in Forest Ecosystems R. Silvestro et al. 10.1007/s40725-025-00245-9
- Is NPP proportional to GPP? Waring’s hypothesis 20 years on A. Collalti et al. 10.1093/treephys/tpz034
- ECOSENSE - Multi-scale quantification and modelling of spatio-temporal dynamics of ecosystem processes by smart autonomous sensor networks C. Werner et al. 10.3897/rio.10.e129357
- The Role of Respiration in Estimation of Net Carbon Cycle: Coupling Soil Carbon Dynamics and Canopy Turnover in a Novel Version of 3D-CMCC Forest Ecosystem Model S. Marconi et al. 10.3390/f8060220
- Feasibility of enhancing carbon sequestration and stock capacity in temperate and boreal European forests via changes to management regimes D. Dalmonech et al. 10.1016/j.agrformet.2022.109203
- Reproducing reproduction: How to simulate mast seeding in forest models G. Vacchiano et al. 10.1016/j.ecolmodel.2018.03.004
- Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output R. Raj et al. 10.5194/gmd-11-83-2018
- Description and evaluation of the process-based forest model 4C v2.2 at four European forest sites P. Lasch-Born et al. 10.5194/gmd-13-5311-2020
- Use of satellite application facility on land surface analysis products to improve an operational method for monitoring forest evapotranspiration L. Fibbi et al. 10.1117/1.JRS.17.034503
- The sensitivity of the forest carbon budget shifts across processes along with stand development and climate change A. Collalti et al. 10.1002/eap.1837
- Energy, water and carbon exchanges in managed forest ecosystems: description, sensitivity analysis and evaluation of the INRAE GO+ model, version 3.0 V. Moreaux et al. 10.5194/gmd-13-5973-2020
- Assessing carbon and water fluxes in a mixed Mediterranean protected forest under climate change: An integrated bottom – up and top – down approach D. Lombardi et al. 10.1016/j.ecoinf.2023.102318
- Simulating tree growth response to climate change in structurally diverse oak and beech forests `. de Wergifosse et al. 10.1016/j.scitotenv.2021.150422
- Assessing the combined effects of forest management and climate change on carbon and water fluxes in European beech forests V. Saponaro et al. 10.1016/j.fecs.2024.100290
- Predicted Future Changes in the Mean Seasonal Carbon Cycle Due to Climate Change M. Morichetti et al. 10.3390/f15071124
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Discussed (final revised paper)
Latest update: 24 Apr 2025
Short summary
This study evaluates the performances of the new version (v.5.1) of 3D-CMCC Forest Ecosystem Model in simulating gross primary productivity (GPP), against eddy covariance GPP data for 10 FLUXNET forest sites across Europe. The model consistently reproduces both in timing and in magnitude daily and monthly GPP variability across all sites, with the exception of the two Mediterranean sites. Inclusion of forest structure within simulation ameliorate in some cases the model output.
This study evaluates the performances of the new version (v.5.1) of 3D-CMCC Forest Ecosystem...
