Assessing multi-dimensional plant traits and their impact on forest ecosystem functioning and sensitivity response to climate change
Grant Data
Project Title
Assessing multi-dimensional plant traits and their impact on forest ecosystem functioning and sensitivity response to climate change
Principal Investigator
Mr Feng, Yuhao
(Principal Investigator (PI))
Duration
36
Start Date
2024-05-01
Amount
1260270
Conference Title
Assessing multi-dimensional plant traits and their impact on forest ecosystem functioning and sensitivity response to climate change
Keywords
multi-dimensional, plant traits, forest ecosystem, sensitivity response, climate change
Discipline
Ecology
Panel
Biology and Medicine (M)
HKU Project Code
PDFS2425-7S02
Grant Type
RGC Postdoctoral Fellowship Scheme 2024/25
Funding Year
2024
Status
On-going
Objectives
Compile a comprehensive dataset on environmental factors, ecosystem functioning/sensitivity, and multi-dimensional plant traits across diverse forest ecosystems, utilizing satellite time-series analyses, 3D LiDAR techniques, and high-spectral and highspatial resolution sensing techniques; Investigate relationships between different dimensions of plant traits and their individual and combined regulation on plant photosynthetic performance and thermoregulation; Explore associations among environmental factors, plant traits, and ecosystem functioning/sensitivity to understand how abiotic and biotic conditions regulate forest ecosystem response to climate change; Assess future ecosystem functioning/sensitivity by integrating current-day mechanisms (revealed in Objectives 2 and 3) with climate change scenarios.