Spatio-temporal trend analysis of precipitation data over Rwanda

Smallholder coffee terroirs of Rwanda : linking local to global trade through geographical characterization

“…Increases in mean temperature are projected under all models and all emissions scenarios, while the majority of models also indicate increases in annual rainfall totals, though a few show small reductions. This has been confirmed for Rwanda by Muhire and Ahmed (2015) who used the same rainfall data for a period from 1935 to 1992 and indicated a significant incline over the northern region, and a decreased of number of rainy days over the eastern and central plateau. The mean rainfall was found to increase sharply in most parts of the country.…”

“…An increase of temperature by 0.35 o C per decade and increase of rainfall by 4mm/yr (i.e. 40mm per decade) were projected (McSweeney & Semafara, 2011;Muhire & Ahmed, 2015). Using this projected decadal increase of temperature and rainfall, we recalculated the achievable coffee yield map for future conditions by 2020 and 2050 using the coffee yield models with increased temperature and rainfall, holding constant other significant biophysical parameters of the model.…”

“…In western highlands (Impala (IMP), Imbo (IMB) and Kivu lake shore (KL)), high achievable yields are obtained in upper Kivu lake catchment where soil pH is optimal to coffee growing. This region has high favourable soils with clayey soils developed on basalt, together with abundant rainfall brought by wet winds from the South Atlantic that pass over Congo basin and Lake Kivu (Muhire & Ahmed, 2015) and moderate temperatures, produces high coffee yields (I. Nzeyimana et al, 2014;Verdoodt & Van Ranst, 2003a).…”

Understanding wetlands reclamation and soil-transmitted helminths and schistosomiasis incidence patterns in Rwanda (2001-2012)

“…Temperature is increasing with a rate of 0,35 o C per decade (McSweeney, 2011;Muhire & Ahmed, 2016). While rainfall records show an increase of 4mm (Muhire & Ahmed, 2015 This research revealed that routine health data can provide valuable information and the HFSA proved to be a suitable small-scale geographic unit for the analysis of schistosomiasis distribution. The study demonstrated a strong, location-specific, correlation between prevalence data and incidence rates of schistosomiasis (Chapter 3), with a strong coefficient of agreement as illustrated in Figure 11.…”

“…Climatic factors: The projection of future climate for Rwanda indicate a trend towards a warmer and wetter climate and mean temperature for 2050 was projected using a rate of 0.35oC increase per decade (McSweeney, 2011;Muhire & Ahmed, 2016). The rainfall records show a very small trend of an increase of 4mm rainfall amount (Muhire & Ahmed, 2015).…”