Calibrating a Process-based Model to Enhance Robustness in Carbon Sequestration Simulations: the Sase of Cedrus Atlantica (Endl.) Manetti ex Carrière DOI Open Access
Issam Boukhris, Saïd Lahssini, Alessio Collalti

et al.

Published: Dec. 20, 2022

To assess the degree to which it has met its commitments under Paris Agreement, Morocco is called upon carry out carbon assessments and transparent evaluations. Within forestry sector, little known about role of Morocco’s forests in contributing uptake. With this aim, we applied for first time literature 3-PG model Cedrus atlantica ((Endl.) Manetti ex Carrière, 1855), represents 131.800 ha forest area (i.e. Azrou forest). Through Differential Evolution - Markov Chains (DE-MC) tested assessed sensitivity calibrated model. This process-based provided significant results regarding sequestration capacity. The showed following: i- Parameters related stand properties, canopy structure, processes, as well biomass partitioning, are most important or sensitive performance model; ii- DE-MC method optimized values parameters was confirmed by means Gelman-Rubin convergence test; iii- According predictions 3-PG, Net Primary Production pure varies between 0.32 7.88 tC.ha−1.yr−1, equal average 4.9 given total corresponds 7078 tC.yr−1.

Language: Английский

Assessing the combined effects of forest management and climate change on carbon and water fluxes in European beech forests DOI Creative Commons
Vincenzo Saponaro, Miquel De Cáceres, Daniela Dalmonech

et al.

Forest Ecosystems, Journal Year: 2024, Volume and Issue: unknown, P. 100290 - 100290

Published: Dec. 1, 2024

Language: Английский

Citations

1

Calibrating a Process-Based Model to Enhance Robustness in Carbon Sequestration Simulations: The Case of Cedrus atlantica (Endl.) Manetti ex Carrière DOI Open Access
Issam Boukhris, Saïd Lahssini, Alessio Collalti

et al.

Forests, Journal Year: 2023, Volume and Issue: 14(2), P. 401 - 401

Published: Feb. 16, 2023

To assess the degree to which it has met its commitments under Paris Agreement, Morocco is called upon carry out carbon assessments and transparent evaluations. Within forestry sector, little known about role of Morocco’s forests in contributing uptake. With this aim, we applied for first time literature 3-PG model Cedrus atlantica ((Endl.) Manetti ex Carrière, 1855), represents 131,800 ha forest area (i.e., Azrou forest). Through Differential Evolution-Markov Chains (DE-MC) tested assessed sensitivity calibrated model. This process-based provided significant results regarding sequestration capacity. The showed following: i. Parameters related stand properties, canopy structure, processes, as well biomass partitioning, are most important or sensitive performance model; ii. DE-MC method optimized values parameters was confirmed by means Gelman–Rubin convergence test; iii. According predictions 3-PG, Net Primary Production pure varies between 0.35 8.82 tC.ha−1.yr−1, equal average 5.48 given total corresponds 7918 tC.ha−1.

Language: Английский

Citations

3

Stand age diversity and climate change affects forests’ resilience and stability, although unevenly DOI Creative Commons
Elia Vangi, Daniela Dalmonech, Elisa Cioccolo

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: July 13, 2023

Abstract Stand age significantly influences the functioning of forest ecosystems by shaping structural and physiological plant traits, affecting water carbon budgets. Forest distribution is determined interplay tree mortality regeneration, influenced both natural anthropogenic disturbances. Thus, human-driven alteration presents an underexplored avenue for enhancing stability resilience. In our study, we investigated how impacts resilience budget under current future climate conditions. We employed a biogeochemical model on three historically managed stands, projecting their as undisturbed systems, i.e., left at evolution with no management interventions. The model, driven data from five Earth System Models four representative scenarios one baseline scenario, spanned 11 classes each stand. Our findings indicate that Net Primary Production (NPP) peaks in young middle-aged (16- to 50-year-old), aligning ecological theories, regardless scenario. Under change, beech exhibited increase NPP maintained across all classes, while remained constant rising atmospheric CO 2 temperatures. However, declined change Norway spruce Scots pine sites. these coniferous forests, were more influenced. These results underscore necessity accounting species-specific reactions evaluating We, therefore, advocate customized strategies enhance adaptability forests changing climatic conditions, taking into account diverse responses different species groups climate.

Language: Английский

Citations

3

R3DFEM: an R package for running the 3D-CMCC-FEM model DOI Creative Commons
Elia Vangi, Daniela Dalmonech, Alessio Collalti

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 11, 2024

Abstract Forest ecosystems account for about one-third of the Earth’s land area, and monitoring their structure dynamics is essential understanding land’s carbon cycle role in greenhouse gas balance. In this framework, process-based forest models (PBFMs) allow studying, predicting growth dynamics, capturing spatial temporal patterns fluxes stocks. The ‘Three Dimensional-Coupled Model Carbon Cycle - Ecosystem Module’ (3D-CMCC-FEM) a well-known eco-physiological, biogeochemical, biophysical model, able to simulate energy, carbon, water nitrogen allocation homogeneous heterogenous ecosystem. model specifically designed represent stands, from simple ones those with complex structures, involving several cohorts competing light other resources prognostic way. Currently, implemented C-language, which can be challenging broad public use, thus limiting its applications. paper, we present open-source R package ‘R3DFEM’ introduces efficient methods for: i) generating handling input data needed initialization; ii) running simulations different set up exploring input; iii) plotting output data. functions R-package are user-friendly intended all users little advanced coding skills, who aim perform using 3D-CMCC-FEM. Here functionalities some real case study

Language: Английский

Citations

0

Assessing the combined effects of forest management and climate change on carbon and water fluxes in European beech forests DOI Creative Commons
Vincenzo Saponaro, Miquel De Cáceres, Daniela Dalmonech

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 21, 2024

The consequences of climate change continue to threaten European forests, particularly for species located at the edges their latitudinal and altitudinal ranges. While extensively studied in Central Europe, beech forests require further investigation understand how will affect these ecosystems Mediterranean areas. Proposed silvicultural options increasingly aim sustainable management reduce biotic abiotic stresses enhance forest ecosystems' resistance resilience mechanisms. Process-based models (PBMs) can help us simulate such phenomena capture early stress signals while considering effect different approaches. In this study, we focus on estimating sensitivity two state-of-the-art PBMs by simulating carbon water fluxes stand level assess productivity changes feedback resulting from climatic forcings as well regimes. We applied 3D-CMCC-FEM MEDFATE (C) (H20) sites Italian peninsula, Cansiglio north Mongiana south, under managed vs. unmanaged scenarios current (RCP4.5 RCP8.5). To ensure confidence modes' resuts, preliminary evaluated performance C H2O flux three additional FLUXNET network along a gradient spanning Denmark central Italy. model achieved R2 values 0.83 0.86 with RMSEs 2.53 2.05 H20 fluxes, respectively. showed 0.76 0.69 2.54 3.01. At site northern Italy, both simulated general increase RCP8.5 scenario compared climate. Still, no benefit plots ones, does not have availability limitations, thus, competition is low. southern predict decrease forcing climate; an when specific regimes scenarios. Conversely, are experience first mortality prematurely due (MEDFATE) starvation (3D-CMCC-FEM) conclusion, interventions may be considered viable solution conservation future conditions moister like Cansiglio, drier lie alone.

Language: Английский

Citations

0

Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. multiple Remote-Sensing datasets DOI Creative Commons
Daniela Dalmonech, Elia Vangi, Marta Chiesi

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: June 14, 2023

Abstract Process-based Forest Models (PBFMs) offer the possibility to capture important spatial and temporal patterns of both carbon fluxes stocks in forests, accounting for ecophysiological, climate geographical variability. Yet, their predictive capacity should be demonstrated not only at stand-level but also context large heterogeneity. For first time, we apply a stand scale process-based model (3D-CMCC-FEM) spatially explicit manner 1 km resolution Mediterranean region southern Italy. Specifically, developed methodology initialize that comprehends use information derived from integration remote sensing (RS) data, national forest inventory data regional maps characterize structural features main species. Gross primary production (GPP) is simulated over period 2005-2019 multiyear capability simulating GPP evaluated aggregated as species-level by means independent multiple sources based on different RS-based products. We show able reproduce most (∼2800 2 ) (32 years total) observed seasonal, annual interannual time scales, even species-level. These new very promising results open applying 3D-CMCC- FEM confidently robustly investigate forests’ behavior under environmental variability areas across highly variable ecological bio- heterogeneity region. Key Points regular grid Initial state estimated using input data. The 3D-CMCC-FEM shows comparably estimates temporally gross production, when compared satellite-based

Language: Английский

Citations

0

Calibrating a Process-based Model to Enhance Robustness in Carbon Sequestration Simulations: the Sase of Cedrus Atlantica (Endl.) Manetti ex Carrière DOI Open Access
Issam Boukhris, Saïd Lahssini, Alessio Collalti

et al.

Published: Dec. 20, 2022

To assess the degree to which it has met its commitments under Paris Agreement, Morocco is called upon carry out carbon assessments and transparent evaluations. Within forestry sector, little known about role of Morocco’s forests in contributing uptake. With this aim, we applied for first time literature 3-PG model Cedrus atlantica ((Endl.) Manetti ex Carrière, 1855), represents 131.800 ha forest area (i.e. Azrou forest). Through Differential Evolution - Markov Chains (DE-MC) tested assessed sensitivity calibrated model. This process-based provided significant results regarding sequestration capacity. The showed following: i- Parameters related stand properties, canopy structure, processes, as well biomass partitioning, are most important or sensitive performance model; ii- DE-MC method optimized values parameters was confirmed by means Gelman-Rubin convergence test; iii- According predictions 3-PG, Net Primary Production pure varies between 0.32 7.88 tC.ha−1.yr−1, equal average 4.9 given total corresponds 7078 tC.yr−1.

Language: Английский

Citations

0