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</script>{"references": ["Mougin et al., 1995, A regional Sahelian grassland model to be coupled with multispectral satellite data. I: Model description and validation. Remote Sensing of Environment 52, 181\u2013193. https://doi.org/10.1016/0034-4257(94)00126-8", "Moorhead et al., 1991, A general model of litter decomposition in the northern Chihuahuan Desert. Ecological Modelling 56, 197\u2013219. https://doi.org/10.1016/0304-3800(91)90200-K", "Delon et al., 2015, Modelling the effect of soil moisture and organic matter degradation on biogenic NO emissions from soils in Sahel rangeland (Mali). Biogeosciences 12, 3253\u20133272. https://doi.org/10.5194/bg-12-3253-2015", "Bigaignon et al., 2020, Understanding N2O Emissions in African Ecosystems: Assessments from a Semi-Arid Savanna Grassland in Senegal and Sub-Tropical Agricultural Fields in Kenya, https://doi.org/10.3390/su12218875"]}
1D-STEP-GENDEC-CN is a 1D coupled process-based model developed for Sahelian herbaceous savannas. It simulates a set of processes describing the water, C and N cycling between the atmosphere, vegetation, and soil at daily temporal resolution. STEP-GENDEC-CN model is forced daily by rain, global radiation, air temperature, wind speed, and relative air humidity at 2 m height
Funded by EU DeSIRA CaSSECS (FOOD/2019/410-169) and H2020-MSCA-RISE INSA (871944)
Sahelian silvopastoral systems, dynamic vegetation, gas emissions, soil processes, biogeochemistry, 1D modeling, Sahelian silvopastoral systems, dynamic vegetation, gas emissions, soil processes, biogeochemistry
Sahelian silvopastoral systems, dynamic vegetation, gas emissions, soil processes, biogeochemistry, 1D modeling, Sahelian silvopastoral systems, dynamic vegetation, gas emissions, soil processes, biogeochemistry
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