Daniela Dalmonech

The paper investigates carbon-water coupling by analyzing water-use efficiency metrics across biological scales in a forest, finding discrepancies between model and observational data.

The paper uses a process-based model to assess climate impacts on Italian forest productivity and carbon dynamics under different emission scenarios.

The paper uses a deep-learning approach on a large simulated dataset to analyze how climate change affects competitive strength and dominance of tree species in Europe.

The paper uses a mechanistic model to show decoupling between summer gross primary productivity and tree growth in Mediterranean forests, driven by climate variability and forest legacy.

This study evaluates long-term forest-sector mitigation and radiative forcing under various management, climate, and substitution scenarios over 285 years, finding that mitigation efficiency depends on emissions timing, duration, and substitution factors.

The paper introduces an R package called R3DFEM to simplify the use of the 3D-CMCC-FEM model for simulating forest ecosystem processes.

This study evaluates the impact of thinning intensity and frequency on ecosystem services in European black pine stands, finding that non-provisioning services benefit from longer intervals and that aesthetic and carbon values exceed timber production.

This study evaluates how climate change and forest management affect carbon and water fluxes in European beech forests using two process-based models across different sites and climate scenarios.

The paper simulates carbon stock and increment dynamics in forests of different ages under climate change scenarios, finding greater age-related differences than climate scenario differences.