Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets

Dalmonech, D.; Vangi, E.; Chiesi, M.; Chirici, G.; Fibbi, L.; Giannetti, F.; Marano, G.; Massari, C.; Nolè, A.; Xiao, J.; Collalti, A.

doi:10.1080/22797254.2023.2301657

Cited by 6 publications

(6 citation statements)

References 134 publications

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“…The ‘ Three Dimensional - Coupled Model Carbon Cycle - Forest Ecosystem Module’ (3D-CMCC-FEM v 5.6 [13, 15, 23, 24, 25, 32, 33] is a biogeochemical, biophysical, process-based, stand-level forest model. The model is built to simulate carbon, nitrogen, and water cycles in forest ecosystems, even including forest dynamics, under scenarios of climate change and disturbances (e.g., forest management) and parameterized at the species level.…”

Section: Methodsmentioning

confidence: 99%

“…The 'Three Dimensional -Coupled Model Carbon Cycle -Forest Ecosystem Module' (3D-CMCC-FEM v 5.6 [13,15,23,24,25,32,33] is a biogeochemical, biophysical, process-based, stand-level forest model.…”

Section: The Modelmentioning

confidence: 99%

“…The 'Three Dimensional -Coupled Model Carbon Cycle -Forest Ecosystem Module' (3D-CMCC-FEM v 5.6 [13,15,23,24,25,32,33] and Berry [34] implemented for sun and shaded leaves [35] (de Pury and Farquhar, 1997) and parametrized as in Bernacchi et al [36,37]. Temperature acclimation of leaf photosynthesis to increasing temperature is accounted for following Kattge and Knorr [38].…”

Section: The Modelmentioning

confidence: 99%

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Stand Age and Climate Change Effects on Carbon Increments and Stock Dynamics

Vangi,

Dalmonech,

Morichetti

et al. 2024

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Carbon assimilation and wood production are influenced by environmental conditions and endogenous factors, such as species auto-ecology, age, and hierarchical position within the forest structure. Disentangling the intricate relationships between those factors is more pressing than ever due to climate change's pressure. Yet, our understanding of how future climate will interact with forests of different ages is particularly limited, and only a few studies have explored this relationship under changing climate conditions. We employed a validated process-based forest model for simulating undisturbed forests of different ages under five climate change scenarios coming from five Earth System Models. In this context, carbon stocks and increment were simulated via total carbon woody stocks (MgC ha-1) and the mean annual increment (m3 ha-1year-1), which depend mainly on age and long-term processes, such as climate trends. We find greater differences among different age cohorts under the same scenario than in different climate scenarios under the same age class. We found different C-accumulation patterns under climate change between coniferous stands and broadleaves. Increasing temperature and changes in precipitation patterns led to a decline in above-ground biomass in spruce stands, especially in the older age classes. On the contrary, the results show that beech forests at DK-Sor will maintain and even increase C-storage rates under most RCP scenarios. Scots pine forests show an intermediate behavior with a stable stock capacity over time and in different scenarios but with decreasing mean volume annual increment. These results confirm current observations worldwide that indicate a stronger climate-related decline in conifers forests than in broadleaves. We, therefore, advocate for a better understanding of the interaction between forests and climate to better inform forest management strategies, ultimately dampening the impacts of climate change on forest ecosystems

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Section: Methodsmentioning

confidence: 99%

Section: The Modelmentioning

confidence: 99%

Section: The Modelmentioning

confidence: 99%

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Stand Age and Climate Change Effects on Carbon Increments and Stock Dynamics

Vangi,

Dalmonech,

Morichetti

et al. 2024

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“…In the present study, we used version 5.6 [41], which slightly differs from v.5.5, described in Collalti et al [8] and Dalmonech et al [11], for a new scheme (and relative parameterization) for sapwood and live wood turnover and dynamics and some additional new forest management schemes (not used here) described in Testolin et al [43].…”

Section: Methodsmentioning

confidence: 99%

Predicted Future Changes in the Mean Seasonal Carbon Cycle Due to Climate Change

Morichetti,

Vangi,

Collalti

2024

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Through photosynthesis, forests absorb annually massive amounts of atmospheric CO2. However, they also release CO2 back through respiration. The net ecosystem exchange (NEE) determines how much carbon forests store or release. The mean seasonal cycle (MSC) is an interesting metric that associate phenology and carbon (C) partitioning-allocation within forest stands. Here we applied the 3D-CMCC-FEM model and analyzed its capability to represent the main C-fluxes, by validating the model against observed data, questioning if the sink/source mean seasonality is influenced under two scenarios of climate change, in five European forest sites. We found the model showing under current climate conditions robust predictive abilities in estimating NEE. The analysis also reveals a consistent reduction of the forest's capabilities to act as a C-sink under climate change and stand-ageing at all sites. Such a reduction is modelled despite the number of annual days of C-sink in evergreen increasing over the years, indicating a consistent downward trend. Similarly, deciduous forests, despite maintaining a relatively stable number of C-sink days throughout the year and over the century, show a reduction in the overall annual C-sink capacity. Overall both types of forests at all sites show a consistent reduction in their future mitigating potential.

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“…The 3D-CMCC-FEM ( Three Dimensional - Coupled Model Carbon Cycle - Forest Ecosystem Module ; Collalti et al, 2014, 2016, 2017; Marconi et al, 2017; Mahnken et al, 2022; Dalmonech et al, 2022, 2024; Testolin et al, 2023) was initialized with the structural attributes of the newly created stands from 1997, which was consequently the starting year of all simulations. Modeled climate change simulations under different RCP-emissions scenarios started to differentiate in 2006 (up to 2100).…”

Section: Methodsmentioning

confidence: 99%

Stand age diversity and climate change affects forests’ resilience and stability, although unevenly

Vangi,

Dalmonech,

Cioccolo

et al. 2023

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Forest age is the result of population dynamics, disturbance regimes, silviculture and plays an important role in the global Carbon (C) cycle. To examine the shaping effects of forest age on Carbon budget under current and future climate conditions, we used a biogeochemical-based model in three managed forest stands and then modeled their development as undisturbed systems. The model was forced with climate outputs under four representative climate scenarios over a matrix of 11 age classes for each stand. We find that the Net Primary Production (NPP) peak was reached in the middle-aged class (42- to-70-year-old) regardless of the climate scenario, while total C-woody stocks (tCWS) increased with age with different trajectories in the three sites, but not linearly as expected. Under climate change scenarios, the beech forest shows as expected increasing NPP with increasing atmospheric CO2 and temperature as much for younger age classes as for older ones. Conversely, in the spruce and Scots pine dominated sites NPP and tCWS decrease under climate change scenarios. ANOVA analysis applied as factorial analysis to model outputs shows that age and climate scenarios have all effects on forest carbon budget only if taken singularly while their combination reduces - if not totally weakens - any effect.

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Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets

Cited by 6 publications

References 134 publications

Stand Age and Climate Change Effects on Carbon Increments and Stock Dynamics

Stand Age and Climate Change Effects on Carbon Increments and Stock Dynamics

Predicted Future Changes in the Mean Seasonal Carbon Cycle Due to Climate Change

Stand age diversity and climate change affects forests’ resilience and stability, although unevenly

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