Interactions and Feedbacks Between Land Surface Processes and Water Cycle Dynamics in Africa

In the past three decades, numerous modeling sensitivity studies have established the importance of detailed vegetation and atmosphere interactions in West African water cycle dynamics. Recently, new evidence has emerged from satellite data analyses that indicate a fully coupled process is needed to explain the relationships discovered in these analyses. In order to elucidate the processes, we have applied the off-line Simplified Simple Biosphere Model version 4/Top-down Representation of Interactive Foliage and Flora Including Dynamics Model (SSiB4/TRIFFID). SSiB4 is a biophysical model based on surface water and energy balance which interacts with TRIFFID by providing the carbon assimilation. TRIFFID is a dynamic vegetation model based on carbon balance. The offline SSiB4/TRIFFID was integrated using the observed precipitation and reanalysis-based meteorological forcing from 1948 to 2006 over West Africa. West Africa has diverse climate and ecosystem regions. It suffered the most severe and longest drought in the world during the 20th century, and has the most pronounced decadal water cycle variability in the planet. The simulation results indicate that the water cycle variability has significant effects on the spatial distributions and temporal variations of plant functional types and leaf area index (LAI), which are generally consistent with those observed from satellites since the 1980s. The simulated vegetation conditions over Sahel region exhibited seasonal, inter-annual variations, consistent with West Africa monsoon variability, and the simulated inter-decadal variability in vegetation was consistent with the Sahel drought in the 1970s and 1980s and partial recovery in the 1990s and 2000s. To further understand the cause of decadal variability of climate, water cycle and vegetation dynamics, experiments were conducted to investigate the relationship between the LAI, atmospheric carbon dioxide increase and global warming. In one experiment, the 1948 atmospheric carbon dioxide was used (310 ppmv) and in another it was increased as observed. The LAI increased linearly between the fixed and elevated carbon dioxide, suggesting carbon dioxide fertilization. This increase was related to an increase in shrubs and decrease in C4 grasses. The greatest increases in LAI in the Sahel occurred during the winter. To understand how the warming trend affected decadal variability, we compared an experiment with observed temperature (with warming trend) and another in which the warming trend was removed. The simulations showed a reduction in LAI due to the warming after 1980, although it was not as strong as the carbon fertilization effects. High temperature created stress on vegetation over the Sahel, and especially over its transition zone. However, the fertilization effect dominated the global warming effect.