@article{fdi:010082280,
  title = {{M}odeling gas exchange and biomass production in {W}est {A}frican {S}ahelian and {S}udanian ecological zones},
  author = {{R}ahimi, {J}. and {A}go, {E}. {E}. and {A}yantunde, {A}. and {B}erger, {S}. and {B}ogaert, {J}. and {B}utterbach-{B}ahl, {K}. and {C}appelaere, {B}ernard and {C}ohard, {J}. {M}. and {D}emarty, {J}{\'e}rome and {D}iouf, {A}. {A}. and {F}alk, {U}. and {H}aas, {E}. and {H}iernaux, {P}. and {K}raus, {D}. and {R}oupsard, {O}. and {S}cheer, {C}. and {S}rivastava, {A}. {K}. and {T}agesson, {T}. and {G}rote, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}est {A}frican {S}ahelian and {S}udanian ecosystems provide essential services to people and also play a significant role within the global carbon cycle. {H}owever, 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 {CO}2. {I}n this study, we investigate the capacity of a process-based biogeochemical model, {L}andscape{DNDC}, to simulate net ecosystem exchange ({NEE}) and aboveground biomass of typical managed and natural {S}ahelian and {S}udanian savanna ecosystems. {I}n 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. {T}he 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}, {MOD}erate resolution {I}maging {S}pectroradiometer). {F}or assessing the simulation accuracy, we applied the calibrated model to 42 additional sites (validation sites) across {W}est {A}frica for which measured aboveground biomass data were available. {T}he 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. {T}he 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. {C}arbon 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. {O}ur study shows the capability of {L}andscape{DNDC} to accurately simulate carbon balances in natural and agricultural ecosystems in semiarid {W}est {A}frica under a wide range of conditions; thus, the model could be used to assess the impact of land-use and climate change on the regional biomass productivity.},
  keywords = {{AFRIQUE} {DE} {L}'{OUEST} ; {BENIN} ; {BURKINA} {FASO} ; {COTE} {D}'{IVOIRE} ; {GAMBIE} ; {GHANA} ; {GUINEE} ; {MALI} ; {NIGER} ; {NIGERIA} ; {SENEGAL} ; {TOGO} ; {ZONE} {SOUDANOSAHELIENNE}},
  booktitle = {},
  journal = {{G}eoscientific {M}odel {D}evelopment},
  volume = {14},
  numero = {6},
  pages = {3789--3812},
  ISSN = {1991-959{X}},
  year = {2021},
  DOI = {10.5194/gmd-14-3789-2021},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082280},
}