MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION

Wim Verbruggen; Hans Verbeeck; Stéphanie Horion; Niels Souverijns; Guy Schurgers

doi:10.1109/IGARSS47720.2021.9554686

MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION

Wim Verbruggen, Hans Verbeeck, Stéphanie Horion, Niels Souverijns, Guy Schurgers

Publikation: Konferencebidrag › Paper › Forskning › peer review

1 Citationer (Scopus)

Abstract

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.

Originalsprog	Engelsk
Publikationsdato	2021
Antal sider	3
DOI	https://doi.org/10.1109/IGARSS47720.2021.9554686
Status	Udgivet - 2021
Begivenhed	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgien Varighed: 12 jul. 2021 → 16 jul. 2021

Konference

Konference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Land/Område	Belgien
By	Brussels
Periode	12/07/2021 → 16/07/2021
Sponsor	The Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (GRSS)

Bibliografisk note

Publisher Copyright:
© 2021 IEEE.

Adgang til dokumentet

10.1109/IGARSS47720.2021.9554686

Citationsformater

MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE : VEGETATION MODEL OPTIMIZATION. / Verbruggen, Wim; Verbeeck, Hans; Horion, Stéphanie; Souverijns, Niels; Schurgers, Guy.

2021. 1591-1593 Afhandling præsenteret på 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgien.

Publikation: Konferencebidrag › Paper › Forskning › peer review

Verbruggen, W, Verbeeck, H, Horion, S, Souverijns, N & Schurgers, G 2021, 'MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION', Paper fremlagt ved 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgien, 12/07/2021 - 16/07/2021 s. 1591-1593. https://doi.org/10.1109/IGARSS47720.2021.9554686

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abstract = "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.",

keywords = "drylands, optimization, Sahel, savanna, vegetation modelling",

author = "Wim Verbruggen and Hans Verbeeck and St{\'e}phanie Horion and Niels Souverijns and Guy Schurgers",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

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doi = "10.1109/IGARSS47720.2021.9554686",

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AU - Souverijns, Niels

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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.

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KW - Sahel

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