Key research themes
1. How does spatial and temporal variability shape forest structure in tropical and temperate ecosystems?
This research area investigates how forest structure varies across small spatial scales (within 1 to 15 km) and over decadal to multi-decadal periods, focusing on tree density, species composition, and size distribution. Understanding such variability provides insights into ecological dynamics, animal habitat use, and forest succession influenced by abiotic factors like altitude and rainfall, as well as biotic interactions including herbivory and human impact. These spatial-temporal analyses are crucial for interpreting localized behavioral adaptations of forest-dependent fauna and for informing conservation and management strategies.
2. How do individual large trees influence forest spatial structure and biodiversity in temperate and primeval forests?
This research theme focuses on the ecological role of large, old, or monumental trees (‘keystone structures’) and their effects on surrounding tree species diversity, spatial distribution, and forest community assembly. Studies use detailed measurements and spatial analyses to reveal how species identity and structural traits of large trees affect adjacent vegetation via mechanisms including seed dispersal, microhabitat provision, and competitive or facilitative interactions. These insights are vital for understanding forest dynamics, biodiversity maintenance, and carbon cycling at the landscape scale.
3. What architectural traits of trees correspond with their successional status in temperate deciduous forests?
This theme explores the relationship between the developmental architecture of tree species—defined by branching patterns, reiteration potential, and structural plasticity—and their successional positions (early, mid, late). Architectural analysis enables identification of species-specific growth strategies that influence shade tolerance, crown expansion, lifespan, and overall forest structural development. Understanding these traits contributes to predictive models of forest succession, dynamics, and responses to environmental changes.