Version 1
: Received: 19 December 2022 / Approved: 20 December 2022 / Online: 20 December 2022 (07:35:53 CET)
How to cite:
Boukhris, I.; Lahssini, S.; Collalti, A.; Moukrim, S.; Santini, M.; Chiti, T.; Valentini, R. Calibrating a Process-based Model to Enhance Robustness in Carbon Sequestration Simulations: the Sase of Cedrus Atlantica (Endl.) Manetti ex Carrière. Preprints2022, 2022120357. https://doi.org/10.20944/preprints202212.0357.v1
Boukhris, I.; Lahssini, S.; Collalti, A.; Moukrim, S.; Santini, M.; Chiti, T.; Valentini, R. Calibrating a Process-based Model to Enhance Robustness in Carbon Sequestration Simulations: the Sase of Cedrus Atlantica (Endl.) Manetti ex Carrière. Preprints 2022, 2022120357. https://doi.org/10.20944/preprints202212.0357.v1
Boukhris, I.; Lahssini, S.; Collalti, A.; Moukrim, S.; Santini, M.; Chiti, T.; Valentini, R. Calibrating a Process-based Model to Enhance Robustness in Carbon Sequestration Simulations: the Sase of Cedrus Atlantica (Endl.) Manetti ex Carrière. Preprints2022, 2022120357. https://doi.org/10.20944/preprints202212.0357.v1
APA Style
Boukhris, I., Lahssini, S., Collalti, A., Moukrim, S., Santini, M., Chiti, T., & Valentini, R. (2022). Calibrating a Process-based Model to Enhance Robustness in Carbon Sequestration Simulations: the Sase of Cedrus Atlantica (Endl.) Manetti ex Carrière. Preprints. https://doi.org/10.20944/preprints202212.0357.v1
Chicago/Turabian Style
Boukhris, I., Tommaso Chiti and Riccardo Valentini. 2022 "Calibrating a Process-based Model to Enhance Robustness in Carbon Sequestration Simulations: the Sase of Cedrus Atlantica (Endl.) Manetti ex Carrière" Preprints. https://doi.org/10.20944/preprints202212.0357.v1
Abstract
To assess the degree to which it has met its commitments under the Paris Agreement, Morocco is called upon to carry out carbon assessments and transparent evaluations. Within the forestry sector, little is known about the role of Morocco’s forests in contributing to carbon uptake. With this aim, we applied for the first time in literature the 3-PG model to Cedrus atlantica ((Endl.) Manetti ex Carrière, 1855), which represents about 131.800 ha of Morocco’s forest area (i.e. Azrou forest). Through the Differential Evolution - Markov Chains (DE-MC) we tested and assessed the sensitivity and calibrated the 3-PG model. This process-based model provided significant results regarding the carbon sequestration capacity. The results showed the following: i- Parameters related to stand properties, canopy structure, and processes, as well as biomass partitioning, are the most important or sensitive for the performance of the model; ii- The DE-MC method optimized the values of the 3-PG parameters which was confirmed by the means of Gelman-Rubin convergence test; iii- According to the predictions of the calibrated 3-PG, the Net Primary Production in the pure Azrou forest varies between 0.32 and 7.88 tC.ha−1.yr−1, it is equal in average to 4.9 tC.ha−1.yr−1, which given the total area corresponds to 7078 tC.yr−1.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.