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Articles by Daniela Dalmonech
Forest management simulations across Europe under observational climate data (CERRA) using 3D-CMCC-FEM v5.7
This dataset was produced within the Horizon Europe project OptFor-EU – OPTimising FORest management decisions for a low-carbon, climate-resilient future in Europe (2023–2027). It contains outputs from forest ecosystem simulations performed with the 3D-CMCC-FEM model, aimed at assessing the impacts of alternative forest management practices (FMP) under present and future climate scenarios across Europe.
Loss of competitive strength in European conifer species under climate change
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Abstract Climate change is expected to alter species assemblages by affecting the outcome of competition between species. Investigating processes of competition remains challenging in tree communities, as they unfold over extensive spatio-temporal scales. Here, we used a deep learning-based meta-model trained on 135 million simulated tree responses to climate across Europe to investigate changes in the competitiveness of nine major tree species under future climate.
By Marc Grünig, Werner Rammer, Martin Baumann, Katharina Albrich, Frederic Andre, Friedrich J. Bohn, Harald Bugmann, Alessio Collalti, Irina Cristal, Daniela Dalmonech, Miquel De Caceres, Francois de Coligny, Laura Dobor, Christina Dollinger, David I. Forrester, Jordi Garcia-Gonzalo, Jose Ramon Gonzalez-Olabarria, Tomáš Hlásny, Juha Honkaniemi, Nica Huber, Andreas Huth, Mathieu Jonard, Anna Jonsson, Fredrik Lagergren, Marco Mina, Frits Mohren, Christine Moos, Xavier Morin, Bart Muys, Mikko Peltoniemi, Christopher P. O. Reyer, Ilié Storms, Dominik Thom, Rupert Seidl, Andrey L. D. Augustynczik, Meike Bouwman, Ulrike Hiltner, Mats Nieberg, Maude Toïgo
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Nature
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Earth system response to Heinrich events explained by a bipolar convection seesaw - Nature Geoscience
Abstract Abrupt climate changes repeatedly occurred during glacial periods, caused by intrinsic instabilities of the Atlantic Meridional Overturning Circulation (AMOC) leading to Dansgaard–Oeschger events, and by the AMOC’s response to massive iceberg discharges in the North Atlantic, known as Heinrich events.
R3DFEM: an R package for running the 3D-CMCC-FEM model
Abstract Forest ecosystems account for about one-third of the Earth's land area, and monitoring their structure and dynamics is essential for understanding the land's carbon cycle and their role in the greenhouse gas balance. In this framework, process-based forest models (PBFMs) allow studying, monitoring and predicting forest growth and dynamics, capturing spatial and temporal patterns of carbon fluxes and stocks.
TimberTracer: A Comprehensive Framework for the Evaluation of Carbon Sequestration by Forest Management and Substitution of Harvested Wood Products.
Abstract Background: Harvested wood products (HWPs) have a pivotal role in climate change mitigation, a recognition solidified in many Nationally Determined Contributions (NDCs) under the Paris Agreement. Integrating HWPs' greenhouse gas (GHG) emissions and removals into accounting requirements relies on typical decision-oriented tools known as wood product models (WPMs).
Assessing models' sensitivity to the effects of forest management and climate change on carbon and water fluxes in European beech forests
Abstract The consequences of climate change continue to threaten European forests, particularly for species located at the edges of their latitudinal and altitudinal ranges. While extensively studied in Central Europe, European beech forests require further investigation to understand how climate change will affect these ecosystems in Mediterranean areas.
Assessing the combined effects of forest management and climate change on carbon and water fluxes in European beech forests
Abstract The consequences of climate change continue to threaten European forests, particularly for species located at the edges of their latitudinal and altitudinal ranges. While extensively studied in Central Europe, European beech forests require further investigation to understand how climate change affects these ecosystems in Mediterranean areas.
Modeling Forest Response to Climate Change
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Stand Age and Climate Change Effects on Carbon Increments and Stock Dynamics
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Stand Age and Climate Change Effects on Carbon Increments and Stock Dynamics
Abstract 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.
Stand age diversity and climate change affects forests' resilience and stability, although unevenly
Abstract Stand age significantly influences the functioning of forest ecosystems by shaping structural and physiological plant traits, affecting water and carbon budgets. Forest age distribution is determined by the interplay of tree mortality and regeneration, influenced by both natural and anthropogenic disturbances. Thus, human-driven alteration of tree age distribution presents an underexplored avenue for enhancing forest stability and resilience.
TimberTracer: A Comprehensive Framework for the Evaluation of Carbon Sequestration by Forest Management and Substitution of Harvested Wood Products.
Abstract Carbon storage in harvested wood products (HWPs) and the associated substitution effects resulting from their utilization over fossil fuels and energy-intensive materials are pivotal strategies in climate change mitigation. Recognition of this nature-based solution as integral to climate change mitigation targets is notably solidified in many Nationally Determined Contributions (NDCs) submitted by Parties under the Paris agreement.
Stand age diversity affects forests resilience and stability, although unevenly
Abstract Stand age significantly influences the functioning of forest ecosystems by shaping structural and physiological plant traits, affecting water and carbon budgets. Forest age distribution is determined by the interplay of tree mortality and regeneration, influenced by both natural and anthropogenic disturbances. Thus, human-driven alteration of tree age distribution presents an underexplored avenue for enhancing forest stability and resilience.
Contrasting patterns of water use efficiency and annual radial growth among European beech forests along the Italian peninsula
Abstract Tree mortality and forest dieback episodes are increasing due to drought and heat stress. Nevertheless, a comprehensive understanding of mechanisms enabling trees to withstand and survive droughts remains lacking. Our study investigated basal area increment (BAI), and δ13C-derived intrinsic water-use-efficiency (iWUE), to elucidate beech resilience across four healthy stands in Italy with varying climates and water availability.
Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets
Abstract Process-based Forest Models (PBFMs) offer the possibility to capture important spatial and temporal patterns of both carbon fluxes and stocks in forests, accounting for ecophysiological, climate and geographical variability. Yet, their predictive capacity should be demonstrated not only at the stand-level but also in the context of large spatial and temporal heterogeneity.
Integrating annual radial growth analyses and carbon isotope discrimination to forecast early warning of beech forest dieback across the Italian Peninsula
Abstract Tree mortality and forest dieback episodes are increasing due to drought and heat stress. Nevertheless, a comprehensive understanding of mechanisms enabling trees to withstand and survive droughts remains lacking. We used tree-ring width, basal area increment (BAI), and δ13C-derived intrinsic water-use-efficiency (iWUE) to study beech resilience across four healthy stands in Italy with varying climates and water availability.
Integrating annual radial growth analyses and carbon isotope discrimination to forecast early warning of beech forest dieback across the Italian Peninsula
Abstract Tree mortality and forest dieback episodes are increasing due to drought and heat stress. However, a comprehensive understanding of the mechanisms enabling trees to cope with droughts remains lacking. Here, we employed a multi-proxy method utilizing tree-ring width, basal area increment (BAI) trends, and delta13C-derived intrinsic water-use-efficiency (iWUE) to unravel beech resilience against drought stress.
Stand age diversity dampens forests sensitivity to climate change
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Regional estimates of gross primary production applying the process-based model 3D-CMCC-FEM vs. multiple datasets
New Results doi: https://doi.org/10.1101/2023.06.13.544712 Abstract Process-based models (PBMs) offer the possibility to capture important spatial and temporal patterns of both carbon fluxes and stocks in forests, accounting for ecophysiological, climate, and geographical variability. For the first time, the stand scale process-based model 3D-CMCC-FEM is applied in a spatially explicit manner at 1 km spatial resolution in a Mediterranean region in southern Italy.
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