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Modeling gas exchange and biomass production in West African Sahelian and Sudanian ecological zones

Authors :
Rahimi, Jaber
Evariste Ago, Expedit
Ayantunde, Augustine
Berger, Sina
Bogaert, Jan
Butterbach-Bahh, Klaus
Cappelaere, Bernard
Cohard, Jean-Martial
Demarty, Jérôme
Diouf, Abdoul Aziz
Falk, Ulrike
Haas, Edwin
Hiernaux, Pierre
Kraus, David
Roupsard, Olivier
Scheer, Clemens
Srivastava, Amit Kumar
Tagesson, Torbern
Grote, Rüdiger
Rahimi, Jaber
Evariste Ago, Expedit
Ayantunde, Augustine
Berger, Sina
Bogaert, Jan
Butterbach-Bahh, Klaus
Cappelaere, Bernard
Cohard, Jean-Martial
Demarty, Jérôme
Diouf, Abdoul Aziz
Falk, Ulrike
Haas, Edwin
Hiernaux, Pierre
Kraus, David
Roupsard, Olivier
Scheer, Clemens
Srivastava, Amit Kumar
Tagesson, Torbern
Grote, Rüdiger
Source :
GeoScientific Model Development
Publication Year :
2021

Abstract

West African Sahelian and Sudanian ecosystems provide essential services to people and also play a significant role within the global carbon cycle. However, climate and land use are dynamically changing, and uncertainty remains with respect to how these changes will affect the potential of these regions to provide food and fodder resources or how they will affect the biosphere–atmosphere exchange of CO2. In this study, we investigate the capacity of a process-based biogeochemical model, LandscapeDNDC, to simulate net ecosystem exchange (NEE) and aboveground biomass of typical managed and natural Sahelian and Sudanian savanna ecosystems. In order to improve the simulation of phenology, we introduced soil-water availability as a common driver of foliage development and productivity for all of these systems. The new approach was tested by using a sample of sites (calibration sites) that provided NEE from flux tower observations as well as leaf area index data from satellite images (MODIS, MODerate resolution Imaging Spectroradiometer). For assessing the simulation accuracy, we applied the calibrated model to 42 additional sites (validation sites) across West Africa for which measured aboveground biomass data were available. The model showed good performance regarding biomass of crops, grass, or trees, yielding correlation coefficients of 0.82, 0.94, and 0.77 and root-mean-square errors of 0.15, 0.22, and 0.12 kg m−2, respectively. The simulations indicate aboveground carbon stocks of up to 0.17, 0.33, and 0.54 kg C ha−1 m−2 for agricultural, savanna grasslands, and savanna mixed tree–grassland sites, respectively. Carbon stocks and exchange rates were particularly correlated with the abundance of trees, and grass biomass and crop yields were higher under more humid climatic conditions. Our study shows the capability of LandscapeDNDC to accurately simulate carbon balances in natural and agricultural ecosystems in semiarid West Africa under a wide range of conditions; th

Details

Database :
OAIster
Journal :
GeoScientific Model Development
Notes :
Afrique occidentale, Sénégal, Mali, Bénin, text, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1380643969
Document Type :
Electronic Resource