Abstract Forest ecosystems in Central Europe represent complex adaptive systems characterized by multi-layered trophic interactions, nonlinear feedback loops, and dynamic responses to environmental perturbations. Climate change, including increasing temperature variability, altered precipitation regimes, and extreme weather events, introduces structural disturbances that may destabilize trophic networks and reduce ecosystem resilience. This study develops a theoretical ecological framework for evaluating stability and trophic network resilience in temperate forest systems under climate perturbations. By integrating network theory, resilience modeling, and long-term observational data from Central European forests, we analyze structural connectivity, energy flow pathways, and species interaction redundancy. The investigation focuses on trophic hierarchy reorganization, keystone species vulnerability, and feedback amplification mechanisms triggered by temperature and moisture anomalies. Emphasis is placed on understanding how network topology influences recovery capacity following disturbance events. The findings suggest that ecosystem stability depends strongly on interaction diversity, redundancy in energy transfer pathways, and adaptive flexibility among functional groups. Forest ecosystems exhibiting high trophic connectivity demonstrate greater capacity to absorb climate-induced shocks without irreversible structural collapse.
Beneš et al. (Tue,) studied this question.