Taiwan as a subtropical island exposed to East-Asian monsoon system offers a unique opportunity to study vegetation along two peculiar stress gradients, cloud frequency and chronic-wind intensity. Frequent cloud or persistent strong winds have remarkable ecological effects on vegetation and require specific species adaptations. Cloud and monsoon forests thus represent unique vegetation types, hosting a number of endemic and relict species. In the near future, ongoing climate change is expected to modify both cloud frequency and chronic-wind intensity. To understand the ecological mechanisms behind these environmental factors has therefore not only theoretical value, but also practical importance in conservation.
In this project, we will use study forest vegetation along the gradient of cloud frequency and chronic-wind intensity in Taiwan as a model system to understand mechanisms how species from species pool assemble to a local community. Apart from taxonomical approach (species census), we will also focus on plant functional traits, since these allow more mechanical and general explanation of environmental filtering. Four aims will be conducted on our model system:
Additionally, we will invest considerable energy to sample the environmental factors together with long-term microclimate monitoring, since detail knowledge of actual soil and microclimatic conditions are the keys to understanding how vegetation response to them.
Studies focused on cloud and wind gradients are rather rare, especially from subtropical regions, and many ecological questions remain unresolved. We believe that our project, applying modern methods from the toolbox of vegetation ecologists, can answer at least some of them. Such findings, apart from the general importance for theoretical ecology, have also a good potential for application in conservation, management and restoration of these habitats, which are threatened by land-use and climate changes.
This project is supported by Ministry of Science and Technology, Taiwan (MOST 106-2621-B-002-003-MY3); duration: 2017/08/01-2020/07/31