Application of TAMSAT-ALERT soil moisture forecasts for planting date decision support in Africa

被引:6
作者
Black, Emily [1 ,2 ]
Asfaw, Dagmawi Teklu [3 ]
Sananka, Alex [4 ]
Aston, Stephen [4 ]
Boult, Victoria L. [1 ,2 ]
Maidment, Ross I. [1 ,2 ]
机构
[1] Univ Reading, Dept Meteorol, Reading, England
[2] Natl Ctr Atmospher Sci, Leeds, England
[3] Univ Bristol, Sch Geog Sci, Bristol, England
[4] One Acre Fund, Kigali, Rwanda
来源
FRONTIERS IN CLIMATE | 2023年 / 4卷
关键词
Africa; climate; soil moisture; planting date; decision support tool; rainfall; ENVIRONMENT SIMULATOR JULES; RAIN-FED CONDITIONS; CLIMATE-CHANGE; AGRICULTURAL PRODUCTIVITY; SEASON CHARACTERISTICS; MODEL DESCRIPTION; SOYBEAN YIELD; MAIZE YIELD; WET SEASON; ONSET;
D O I
10.3389/fclim.2022.993511
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Deciding when to plant is critical for smallholders in Africa. If they plant too early, farmers risk seedling death if the rains are not established; if they plant too late, there will not be enough rain to sustain the crop through critical development periods. In this study, we present a new decision support tool (DST) that accounts for the trade-off in the risks of early and late planting through advisories based on both short- and long-range forecasts of crop water availability. Unlike most existing operational systems, which are based solely on rainfall, the DST presented here uses ensemble forecasts of soil moisture to estimate the optimal planting date at a local scale. Evaluations using >30,000 observations of planting date and yield in Kenya, Rwanda, Uganda, Zambia and Malawi demonstrate that that planting at the optimal time would increase yield by 7-10% overall, and up to 20% for late planting farmers. The DST has been piloted by One Acre Fund for the 2019-2020, 2020-2021, and 2021-2022 seasons and there is strong demand for the service to be extended further. We conclude from the evaluations and pilots that the planting date DST has the potential to strengthen farmer decision making and hence their resilience to climate variability and change.
引用
收藏
页数:14
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