Modelling the impact of agroforestry on hydrology of Mara River Basin in East Africa

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Modelling the impact of agroforestry on hydrology of Mara River Basin in East Africa. / Mwangi, H.M.; Julich, S.; Patil, S.D. et al.
In: Hydrological Processes, Vol. 30, No. 18, 30.08.2016, p. 3139-3155.

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Mwangi, HM, Julich, S, Patil, SD, McDonald, MA & Ferger, K 2016, 'Modelling the impact of agroforestry on hydrology of Mara River Basin in East Africa', Hydrological Processes, vol. 30, no. 18, pp. 3139-3155. https://doi.org/10.1002/hyp.10852

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Mwangi HM, Julich S, Patil SD, McDonald MA, Ferger K. Modelling the impact of agroforestry on hydrology of Mara River Basin in East Africa. Hydrological Processes. 2016 Aug 30;30(18):3139-3155. Epub 2016 Apr 19. doi: 10.1002/hyp.10852

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Mwangi, H.M. ; Julich, S. ; Patil, S.D. et al. / Modelling the impact of agroforestry on hydrology of Mara River Basin in East Africa. In: Hydrological Processes. 2016 ; Vol. 30, No. 18. pp. 3139-3155.

RIS

TY - JOUR

T1 - Modelling the impact of agroforestry on hydrology of Mara River Basin in East Africa

AU - Mwangi, H.M.

AU - Julich, S.

AU - Patil, S.D.

AU - McDonald, M.A.

AU - Ferger, K.

PY - 2016/8/30

Y1 - 2016/8/30

N2 - Land–use change is one of the main drivers of change of watershed hydrology. The effect of forestry related land–use changes (e.g. afforestation, deforestation, agroforestry) on water fluxes depends on climate, watershed characteristics and spatial scale. The Soil and Water Assessment Tool (SWAT) model was calibrated, validated and used to simulate the impact of agroforestry on the water balance in Mara River Basin (MRB) in East Africa. Model performance was assessed by Nash-Sutcliffe Efficiency (NSE) and Kling-Gupta Efficiency (KGE). The NSE (and KGE) values for calibration and validation were: 0.77 (0.88) and 0.74 (0.85) for the Nyangores sub-watershed, and 0.78 (0.89) and 0.79 (0.63) for the entire MRB. It was found that agroforestry in the watershed would generally reduce surface runoff, mainly due to enhanced infiltration. However, it would also increase evapotranspiration and consequently reduce the baseflow and the overall water yield, which was attributed to increased water use by trees. Spatial scale was found to have a significant effect on water balance; the impact of agroforestry was higher at the smaller headwater catchment (Nyangores) than for the larger watershed (entire MRB). However, the rate of change in water yield with increase in area under agroforestry was different for the two and could be attributed to the spatial variability of climate within MRB. Our results suggest that direct extrapolation of the findings from a small sub-catchment to a larger watershed may not always be accurate. These findings could guide watershed managers on the level of trade-offs to make between reduced water yields and other benefits (e.g. soil erosion control, improved soil productivity) offered by agroforestry. This article is protected by copyright. All rights reserved.

AB - Land–use change is one of the main drivers of change of watershed hydrology. The effect of forestry related land–use changes (e.g. afforestation, deforestation, agroforestry) on water fluxes depends on climate, watershed characteristics and spatial scale. The Soil and Water Assessment Tool (SWAT) model was calibrated, validated and used to simulate the impact of agroforestry on the water balance in Mara River Basin (MRB) in East Africa. Model performance was assessed by Nash-Sutcliffe Efficiency (NSE) and Kling-Gupta Efficiency (KGE). The NSE (and KGE) values for calibration and validation were: 0.77 (0.88) and 0.74 (0.85) for the Nyangores sub-watershed, and 0.78 (0.89) and 0.79 (0.63) for the entire MRB. It was found that agroforestry in the watershed would generally reduce surface runoff, mainly due to enhanced infiltration. However, it would also increase evapotranspiration and consequently reduce the baseflow and the overall water yield, which was attributed to increased water use by trees. Spatial scale was found to have a significant effect on water balance; the impact of agroforestry was higher at the smaller headwater catchment (Nyangores) than for the larger watershed (entire MRB). However, the rate of change in water yield with increase in area under agroforestry was different for the two and could be attributed to the spatial variability of climate within MRB. Our results suggest that direct extrapolation of the findings from a small sub-catchment to a larger watershed may not always be accurate. These findings could guide watershed managers on the level of trade-offs to make between reduced water yields and other benefits (e.g. soil erosion control, improved soil productivity) offered by agroforestry. This article is protected by copyright. All rights reserved.

U2 - 10.1002/hyp.10852

DO - 10.1002/hyp.10852

M3 - Article

VL - 30

SP - 3139

EP - 3155

JO - Hydrological Processes

JF - Hydrological Processes

SN - 1099-1085

IS - 18

ER -