MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION
Research output: Contribution to conference › Paper › Research › peer-review
Drylands are considered to be hotspots for climate change impacts and the Sahel in particular has been the subject of several ecological studies. Using dynamic vegetation models we aim to quantify the vulnerability of woody vegetation to climatic variability and soil properties. In this study we present the first results of our vegetation model optimization for a focus area centered on Senegal. We activated a shrub plant functional type (PFT) in the model and by comparing model simulations against Landsat cover fractions and MODIS leaf area index (LAI) data, we constrained two model parameters related to shrub rooting depth and maximum evapotranspiration rate. We found that the model is able to reproduce the observed cover fractions and LAI reasonably well, given that the model is restricted to simulating potential vegetation cover.
Original language | English |
---|---|
Publication date | 2021 |
Number of pages | 3 |
DOIs | |
Publication status | Published - 2021 |
Event | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021 |
Conference
Conference | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 |
---|---|
Country | Belgium |
City | Brussels |
Period | 12/07/2021 → 16/07/2021 |
Sponsor | The Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (GRSS) |
Bibliographical note
Publisher Copyright:
© 2021 IEEE.
- drylands, optimization, Sahel, savanna, vegetation modelling
Research areas
ID: 307443036