MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION
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MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE : VEGETATION MODEL OPTIMIZATION. / Verbruggen, Wim; Verbeeck, Hans; Horion, Stéphanie; Souverijns, Niels; Schurgers, Guy.
2021. 1591-1593 Paper presented at 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium.Research output: Contribution to conference › Paper › Research › peer-review
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TY - CONF
T1 - MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE
T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
AU - Verbruggen, Wim
AU - Verbeeck, Hans
AU - Horion, Stéphanie
AU - Souverijns, Niels
AU - Schurgers, Guy
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - drylands
KW - optimization
KW - Sahel
KW - savanna
KW - vegetation modelling
U2 - 10.1109/IGARSS47720.2021.9554686
DO - 10.1109/IGARSS47720.2021.9554686
M3 - Paper
AN - SCOPUS:85129801409
SP - 1591
EP - 1593
Y2 - 12 July 2021 through 16 July 2021
ER -
ID: 307443036