MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION

Research output: Contribution to conference › Paper › Research › peer-review

Standard

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

Harvard

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

APA

Verbruggen, W., Verbeeck, H., Horion, S., Souverijns, N., & Schurgers, G. (2021). MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION. 1591-1593. Paper presented at 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium. https://doi.org/10.1109/IGARSS47720.2021.9554686

Vancouver

Verbruggen W, Verbeeck H, Horion S, Souverijns N, Schurgers G. MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION. 2021. Paper presented at 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium. https://doi.org/10.1109/IGARSS47720.2021.9554686

Author

Verbruggen, Wim ; Verbeeck, Hans ; Horion, Stéphanie ; Souverijns, Niels ; Schurgers, Guy. / MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE : VEGETATION MODEL OPTIMIZATION. Paper presented at 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium.3 p.

Bibtex

@conference{2d36b2396dd2491a826a2b843f24d6cd,
title = "MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION",
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",
year = "2021",
doi = "10.1109/IGARSS47720.2021.9554686",
language = "English",
pages = "1591--1593",

}

RIS

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