Application of MK trend and test of Sen's slope estimator to measure impact of climate change on the adoption of conservation agriculture in Ethiopia

Abstract

AbstractThe objective of this study is to identify the adoption level of this agricultural technology affected by climate change and to confirm the relationship with conservation agriculture. The assessment was carried out using the Mann–Kendall trend test and the Sen's slope is used. The collected data were statistically analyzed by Statistical Down Scaling Model Software to compare the observed and climate model scenarios of temperature and precipitation. According to the results of the study, earth analysis of the 2001–2021 data revealed that 26.68% of the land area has improved productivity, 67.38% of the territory is stable, 5.93% of the area has degraded productivity, and 0.02% of the area has no productivity data. The study result indicated that there is variability, a decrease in rainfall, and a rise in temperature in the area. The Mann–Kendall and Sen's slope test findings for the total maximum annual rainfall reveal a P-value of 0.307, indicating that there is no pattern in the series or variability of rainfall and that there is a diminishing trend in the rainfall data. The study's findings may help decision-makers and water managers provide more sustainable strategies and methods for managing water resources.