[en] Forests provide a wide range of ecosystem services, including timber production, carbon sequestration, biodiversity conservation, climate regulation, and recreation. However, their capacity to maintain these services is increasingly threatened by global change. Rising temperatures, more frequent extreme weather events, and changes in atmospheric CO₂ concentrations are expected to alter forest dynamics, composition, and resilience. In Western Europe, forests dominated by Fagus sylvatica and Quercus spp. are particularly vulnerable. Simultaneously, increasing ungulate densities exert additional pressure on forest regeneration, potentially compromising long-term forest sustainability. Promoting forest diversification—both in species composition and structural complexity—has been identified as a promising strategy to enhance forest resilience. Mixed and heterogeneous stands are expected to better withstand disturbances while maintaining productivity and carbon storage. Yet, forest owners remain cautious about adopting such strategies due to concerns over potential economic losses. This study explores the potential of diversification in mitigating the effects of climate change and ungulate pressure. Using the tree-level, process-based, spatially explicit HETEROFOR model, we simulated forest dynamics over 120 years across six representative sites in western Europe. Simulations were conducted under three climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0), four ungulate densities (no pressure, low pressure, medium pressure, high pressure) and three silvicultural strategies: business-as-usual (BAU), oak preservation (OAK), and diversification (DIV). Forest performance was assessed using 44 indicators summarized into five scores: Productivity, Profitability, Sustainability, Carbon, and Resilience. Our results show that diversification enhances forest adaptability while maintaining economic viability. However, high ungulate pressure significantly reduces its effectiveness, emphasizing the need for integrated wildlife management. This study also provides an innovative framework combining ecological and economic indicators to support informed, adaptive forest management under global change.
