Abstract:
The study investigated the influence of agri-silviculture on the projected future climate in West
Africa using regional climate model (RegCM4). The performance of the model in the representation
of surface processes over West Africa was evaluated and validated. Thereafter, the future
climate change over West Africa was projected using the validated model. Investigation of the
influence of different percentages cover of trees/shrubs and crops on the future climate of West
Africa was also examined.
Eleven numerical agri-silviculture experiments with time-invariant vegetation and dynamic
vegetation were used to simulate the historical and future climates of West Africa. The first
three experiments simulated the historical climate of West Africa from 1979-2004 using timeinvariant
vegetation (PRES), dynamic vegetation in a smaller Africa domain (PRESd1) and
dynamic vegetation in a larger Africa domain (PRESd2). The next three experiments projected
the future climate from 2029-2054 with time-invariant vegetation (FUTU), dynamic vegetation
in a smaller Africa domain (FUTUd1), dynamic vegetation in a larger Africa domain (FUTUd2).
The next experiments were carried out using different percentages cover of trees/shrubs
and crops along Guinea Savanna zone using time-invariant vegetation (GUSAG), dynamic
vegetation in a smaller Africa domain (GUSAGd1) and larger Africa domain (GUSAGd2) in
order to represent agri-silviculture. The last two agri-silviculture experiments were carried out
along the West Africa coast using time-invariant vegetation (COAG) and dynamic vegetation
(COAGd1). All future climate experiments were carried out under Representative Concentration
Pathways 4.5 Scenario (RCP4.5). Model performance was evaluated by comparing historical
climate simulations with gridded Climate Research Unit (CRU) datasets and Era-Interim
reanalysis atmospheric data products.
Generally, the historical simulation reproduces the seasonal evolution of precipitation and temperature
regimes very well with correlations greater than 0.8 but with a cold and wet bias of 1 -2°C and 1 mm/day respectively. However, a narrow monsoon flow and weaker Jets were simulated
in August. Widespread warming is projected in the near future across most parts of West
Africa which range from an increase of 0.5°C along the coastal and orographic regions from
June to August with an increase of more than 1.5°C over the continent in other seasons. Other
parts of West Africa were projected to have positive/negative changes in precipitation not exceeding
1 mm/day during the monsoon and post monsoon seasons. The impact of the different
simulated agri-silviculture experiments on the future climate of West Africa varied. The
GUSAG experiment induces cooling of about 0.5 - 2°C over most areas along the agrisilviculture
zone (Nigeria, Ghana, Cote d’Ivoire and Cameroon, Togo, Benin Republic and
Ghana) in all seasons. However, the induced cooling does not necessarily translate to more
precipitation, except over Ghana where precipitation increases by 0.5 - 1.8 mm/day during
MAM and JJA seasons. On the other hand, GUSAG experiment enhances the warming over
Liberia and Sierra Leone by about 2°C in all seasons, which intensifies the drying condition to
about 1.8 mm/day. The GUSAGd2 experiment induces cooling of about 2°C in areas within
8°E and 16°E along the agri-silviculture zone in all seasons but increases the warming by more
than 0.5°C outside this area. Generally, agri-silviculture practice along the coast (COAG and
COAGd1) does not necessarily have a large-scale impact on temperature and precipitation over
the entire West Africa region.
The study concluded that agri-silviculture could be used to mitigate the projected future warming
and drying across most West African countries except Liberia and Sierra Leone. Therefore,
it is recommended that agri-silviculture practice should be adopted as a land-based strategy to
combat food insecurity, deforestation due to agricultural expansion and ameliorate the impacts
of climate change in West Africa.
Description:
A Thesis submitted to the School of Postgraduate Studies, in Partial Fulfillment of the Requirement for the award of the Degree of Doctor of Philosophy in Meteorology and Climate Science of the Federal University of Technology, Akure, Ondo State in Nigeria