Analyzing patterns and drivers of seasonal leaf phenology and global vegetation trends
A broad theme of my research is centered on understanding patterns of seasonal vegetation dynamics and inter-annual trends at global scale. This includes a diverse range of topics such as detecting changes in global trends in vegetation greenness from satellite data and assessing simulated trends in vegetation productivity and water use efficiency in Africa.
- Traore et al. (2014) 1982-2010 Trends of Light use Efficiency and Inherent Water use Efficiency in African vegetation: Sensitivity to Climate and Atmospheric CO2 Concentrations, Remote Sensing, 6, 8923-8944.
- Wang et al. (2015) Has the advancing onset of spring vegetation green-up slowed down or changed abruptly over the past three decades? Global Ecology and Biogeography, 24, 621-631.
This work showed that long-term trends in vegetation dynamics and carbon uptake were not well-captured by the ORCHIDEE model in semi-arid regions (e.g. the Sahel). Furthermore, my data assimilation study constraining the vegetation dynamics using satellite-derived NDVI data was not able to improve the model–data discrepancy in the seasonal cycle and trend in vegetation productivity in dry tropical and semi-arid regions, further suggesting that the phenology or plant hydraulic processes in the model are inadequate. This work led to my recent research on understanding coupled carbon-water-vegetation dynamics in semi-arid regions.
- MacBean et al. (2015), Using satellite data to improve the leaf phenology of a global terrestrial biosphere model, Biogeosciences, 12, 7185-7208.
This work was funded by:
- CARBONES: European Union 7th Framework project aiming to provide a 30-year long re-analysis of carbon fluxes and pools over Europe and the globe, in form of a user-friendly on-line interface.