Abstract:
Climate variability increases the vulnerability of rain-fed agriculture due to more
frequent droughts, necessitating adaptive strategies for smallholder farmers. This study
examines intra-seasonal climate variability, specifically season duration and dry spells,
in six drought-prone districts of North Western Ethiopia, using rainfall and temperature
data from 1992 to 2021. Statistical methods include a Markov Chain model for rainfall
patterns and dry spells, along with a Modified Mann-Kendall trend test to analyze trends
in growing season onset and duration. The study also assesses livelihood vulnerability
and adaptive strategies among 382 farm households in Ebenat district using the
Composite Livelihood Vulnerability Index. A Multivariate Probit model explores the
relationship between adaptive strategies and their determinants, with socioeconomic
analysis across three livelihood zones, all at a significance level of p < 0.05. The findings
reveal that the growing season starts in early June in Adiszemen and late June in Ebenat,
lasting an average of 148 and 112 days, respectively. Kiremt rainfall (June to September)
accounts for 72% to 86% of annual rainfall, showing a mono-modal pattern with high
rainfall probabilities (80-100%) and low dry spell risks (0-20%). However, significant
dry spells occur before and after this season, impacting rain-dependent activities.
Seasonal dry spells are minimal during the growing season but peak at 90 to 100%
outside it. This information is vital for risk assessment and crop selection: risk-taking
farmers may choose longer-maturity crops, while risk-averse farmers should opt for
shorter-maturity options. The study also identifies the El Niño-Southern Oscillation as a
key factor influencing seasonal rainfall, noting that the area has faced drought in 10 to
12 of the past 30 years, with temperatures rising by up to 0.485°C/year. Ebenat district is
particularly impacted, highlighting the need for further research on climate-induced
vulnerabilities and adaptation strategies for rain-fed livelihoods. The livelihood
vulnerability assessment reveals that the Tekeze lowland zone is the most affected,
scoring 0.61 due to high exposure (0.67) and sensitivity (0.52), coupled with a moderate
adaptive capacity of 0.47. The northeastern zone scored 0.51, while Tana Zuria showed
moderate vulnerability (0.46) but better adaptive capacity (0.53). These findings
emphasize the need for targeted interventions. Farmers employ various adaptive
strategies, including soil and water conservation (61%), adjusting planting times (59%),
crop rotation (54%), and livelihood diversification (53%), with soil and water
conservation prioritized for its immediate erosion prevention benefits. Joint adoption
analysis shows that 20% value collective efforts, while 26% use multiple strategies. A
correlation matrix indicates significant positive relationships among these strategies,
with multiple adopters reporting higher incomes (log income: 5.333 vs. 4.928 for non
adopters). However, only 10% to 14% find their strategies effective, highlighting the
need for increased support for small-scale farmers. Key adoption factors include age and
gender, with older male farmers more likely to adopt. Access to social groups, credit, and
extension services enhances strategy implementation. The Tekeze lowland lacks adequate
weather information and improved seeds, highlighting the need for prioritized support.
Negative correlations between credit access and adaptive strategies emphasize the
necessity for inclusive support systems. To boost resilience, flexible, agriculture-focused
credit and improved seed promotion are vital, particularly for older farmers.