Agricultural diversification for crop yield stability: a smallholder adaptation strategy to climate variability in Ethiopia

Abstract

Climate variability threatens food system stability, particularly among smallholders in developing countries who depend on rainfed agriculture. Farm diversification could be a relevant adaptation strategy in this context as a greater number of species or a more even distribution of crops is postulated to have a stabilizing effect on farm output as compared to a homogeneous farm. In this study, we aimed to explore relationships between climate variability, agricultural diversity, and crop yield stability. We used agriculture-focused panel data from Ethiopian households surveyed over four waves from 2011 to 2018 and two climate datasets to derive measures of long-and short-term climate variability. In a twofold analytical approach, we used mixed effects models to separately model (i) farm richness and pastoralism prevalence with climate variability as predictors, and (ii) crop yield stability with diversity, farm input, and climate characteristics as predictors. We found that farm diversity is highest in areas with high temperature variability, or low rainfall variability. This held even when excluding pastoralists households, who have naturally lower diversity. We further showed that pastoralism is least common in areas with high temperature variability and low month-to-month rainfall variability. Both crop richness and crop evenness positively affected temporal yield stability, with each showing a greater effect than irrigation, fertilizer, and pesticide usage. Together, these findings suggest that shifts in typical ranges of climate variability could destabilize farm-level crop yield for smallholders by limiting diversification opportunities. Our findings highlight the need for researchers and policymakers to consider not only the direct effects of climate variability on crop yield, but also its indirect effects on yield stability caused by increasingly limited adaptation choices.

Computational fluid dynamics simulation analysis of the effect of curved rice leaves on the deposition behaviour of droplets

“…Currently, pesticides play an important role in the prevention and control of rice diseases and pests [ 3 , 4 ]. The use of pesticides can indeed reduce their prevalence and increase crop yield [ 5 , 6 ], but in the actual application process, only 20–30% of the pesticide is deposited on the rice leaves, and the remaining 70–80% is lost to the soil [ 7 ]. Therefore, to improve the deposition of droplets on rice leaves, improve the efficiency of pesticide spraying, and reduce environmental pollution, the factors influencing the impact behaviour of droplets on the leaf surface need to be studied in depth [ 8 , 9 ].…”