Abstract
The West African Sahel experienced a long drought from the 1970s to the
1990s during which runoff has paradoxically increased, as a response to
human and climate-induced changes in surface conditions. Despite the
vegetation recovery (re-greening) observed at regional scale over the
past 30 years, surface runoff is still increasing, suggesting that the
Sahelian eco-hydrological system passed a tipping point and is now
trapped in a " high runoff " state. To study this hypothesis, we
developed a system dynamics model incorporating vegetation-hydrology
interactions at annual time scale. The model successfully reproduced the
vegetation collapse and the increase of runoff-prone bare soil areas
monitored over 65 years on a pilot site in Northern Mali. Our results
confirmed the existence of a tipping point between alternative high/low
runoff states at the small catchment scale. According to the model, a
reverse shift to the pre-drought low runoff state is possible, but the
conditions in which this shift would occur remain uncertain. The system
trajectory presents a strong sensitivity to annual rainfall variability
(amplitude and temporal structure). This study suggests that the
increasing runoff in a re-greening environment is caused by the tipping
of some areas to a high runoff/low vegetation state, illustrating how a
regime shift in sub-systems can result in eco-hydrological changes at
larger scale. The associated large-scale changes of the rainfall
partitioning may alter evapo-transpiration and thus the
surface-atmosphere feed-back. Those changes also bear strong
environmental and socio-economic consequences, either adverse (increase
of degraded areas to the detriment of agriculture, and increased flood
risk) or beneficial (increased water resource in ponds and water
tables).
Original language | English |
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Publication status | Published - 1 Apr 2019 |
Event | EGU General Assembly 2019 - Vienna, Austria Duration: 7 Apr 2019 → 12 Apr 2019 |
Conference
Conference | EGU General Assembly 2019 |
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Country/Territory | Austria |
City | Vienna |
Period | 7/04/19 → 12/04/19 |