Evaluating water controls on vegetation growth in the semi-arid sahel using field and earth observation data

Abdulhakim M. Abdi; Niklas Boke-Olen; David E. Tenenbaum; Håkan Torbern Tagesson; Bernard Cappelaere; Jonas Ardoe

doi:10.3390/rs9030294

Evaluating water controls on vegetation growth in the semi-arid sahel using field and earth observation data

Abdulhakim M. Abdi^*, Niklas Boke-Olen, David E. Tenenbaum, Håkan Torbern Tagesson, Bernard Cappelaere, Jonas Ardoe

^*Corresponding author af dette arbejde

LUKKET: Geografi

7 Citationer (Scopus)

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Abstract

Water loss is a crucial factor for vegetation in the semi-arid Sahel region of Africa. Global satellite-driven estimates of plant CO₂ uptake (gross primary productivity, GPP) have been found to not accurately account for Sahelian conditions, particularly the impact of canopy water stress. Here, we identify the main biophysical limitations that induce canopy water stress in Sahelian vegetation and evaluate the relationships between field data and Earth observation-derived spectral products for up-scaling GPP. We find that plant-available water and vapor pressure deficit together control the GPP of Sahelian vegetation through their impact on the greening and browning phases. Our results show that a multiple linear regression (MLR) GPP model that combines the enhanced vegetation index, land surface temperature, and the short-wave infrared reflectance (Band 7, 2105-2155 nm) of the moderate-resolution imaging spectroradiometer satellite sensor was able to explain between 88% and 96% of the variability of eddy covariance flux tower GPP at three Sahelian sites (overall = 89%). The MLR GPP model presented here is potentially scalable at a relatively high spatial and temporal resolution. Given the scarcity of field data on CO₂ fluxes in the Sahel, this scalability is important due to the low number of flux towers in the region.

Originalsprog	Engelsk
Artikelnummer	294
Tidsskrift	Remote Sensing
Vol/bind	9
Udgave nummer	3
Antal sider	20
ISSN	2072-4292
DOI	https://doi.org/10.3390/rs9030294
Status	Udgivet - 2017

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10.3390/rs9030294Licens: CC BY

Evaluating Water Controls on Vegetation Growth inForlagets udgivne version, 5,68 MBLicens: CC BY

Citationsformater

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abstract = "Water loss is a crucial factor for vegetation in the semi-arid Sahel region of Africa. Global satellite-driven estimates of plant CO2 uptake (gross primary productivity, GPP) have been found to not accurately account for Sahelian conditions, particularly the impact of canopy water stress. Here, we identify the main biophysical limitations that induce canopy water stress in Sahelian vegetation and evaluate the relationships between field data and Earth observation-derived spectral products for up-scaling GPP. We find that plant-available water and vapor pressure deficit together control the GPP of Sahelian vegetation through their impact on the greening and browning phases. Our results show that a multiple linear regression (MLR) GPP model that combines the enhanced vegetation index, land surface temperature, and the short-wave infrared reflectance (Band 7, 2105-2155 nm) of the moderate-resolution imaging spectroradiometer satellite sensor was able to explain between 88% and 96% of the variability of eddy covariance flux tower GPP at three Sahelian sites (overall = 89%). The MLR GPP model presented here is potentially scalable at a relatively high spatial and temporal resolution. Given the scarcity of field data on CO2 fluxes in the Sahel, this scalability is important due to the low number of flux towers in the region.",

keywords = "Browning, Drought, Earth observation, Greening, Gross primary productivity, Plant stress, Plant-available water, Sahel, Soil moisture, Vapor pressure deficit",

author = "Abdi, {Abdulhakim M.} and Niklas Boke-Olen and Tenenbaum, {David E.} and Tagesson, {H{\aa}kan Torbern} and Bernard Cappelaere and Jonas Ardoe",

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TY - JOUR

T1 - Evaluating water controls on vegetation growth in the semi-arid sahel using field and earth observation data

AU - Abdi, Abdulhakim M.

AU - Boke-Olen, Niklas

AU - Tenenbaum, David E.

AU - Tagesson, Håkan Torbern

AU - Cappelaere, Bernard

AU - Ardoe, Jonas

PY - 2017

Y1 - 2017

N2 - Water loss is a crucial factor for vegetation in the semi-arid Sahel region of Africa. Global satellite-driven estimates of plant CO2 uptake (gross primary productivity, GPP) have been found to not accurately account for Sahelian conditions, particularly the impact of canopy water stress. Here, we identify the main biophysical limitations that induce canopy water stress in Sahelian vegetation and evaluate the relationships between field data and Earth observation-derived spectral products for up-scaling GPP. We find that plant-available water and vapor pressure deficit together control the GPP of Sahelian vegetation through their impact on the greening and browning phases. Our results show that a multiple linear regression (MLR) GPP model that combines the enhanced vegetation index, land surface temperature, and the short-wave infrared reflectance (Band 7, 2105-2155 nm) of the moderate-resolution imaging spectroradiometer satellite sensor was able to explain between 88% and 96% of the variability of eddy covariance flux tower GPP at three Sahelian sites (overall = 89%). The MLR GPP model presented here is potentially scalable at a relatively high spatial and temporal resolution. Given the scarcity of field data on CO2 fluxes in the Sahel, this scalability is important due to the low number of flux towers in the region.

AB - Water loss is a crucial factor for vegetation in the semi-arid Sahel region of Africa. Global satellite-driven estimates of plant CO2 uptake (gross primary productivity, GPP) have been found to not accurately account for Sahelian conditions, particularly the impact of canopy water stress. Here, we identify the main biophysical limitations that induce canopy water stress in Sahelian vegetation and evaluate the relationships between field data and Earth observation-derived spectral products for up-scaling GPP. We find that plant-available water and vapor pressure deficit together control the GPP of Sahelian vegetation through their impact on the greening and browning phases. Our results show that a multiple linear regression (MLR) GPP model that combines the enhanced vegetation index, land surface temperature, and the short-wave infrared reflectance (Band 7, 2105-2155 nm) of the moderate-resolution imaging spectroradiometer satellite sensor was able to explain between 88% and 96% of the variability of eddy covariance flux tower GPP at three Sahelian sites (overall = 89%). The MLR GPP model presented here is potentially scalable at a relatively high spatial and temporal resolution. Given the scarcity of field data on CO2 fluxes in the Sahel, this scalability is important due to the low number of flux towers in the region.

KW - Browning

KW - Drought

KW - Earth observation

KW - Greening

KW - Gross primary productivity

KW - Plant stress

KW - Plant-available water

KW - Sahel

KW - Soil moisture

KW - Vapor pressure deficit

U2 - 10.3390/rs9030294

DO - 10.3390/rs9030294

M3 - Journal article

AN - SCOPUS:85019370047

SN - 2072-4292

VL - 9

JO - Remote Sensing

JF - Remote Sensing

IS - 3

M1 - 294

ER -

Evaluating water controls on vegetation growth in the semi-arid sahel using field and earth observation data

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