<p>The Northern Ethiopian Highlands are a critical agroecological zone where climate change poses serious challenges to rainfed farming, yet the region’s climatic dynamics remain poorly quantified. This study addresses that gap by examining spatiotemporal trends in temperature, precipitation, and agroclimatic indices, Rainfall Onset Date (ROD), Cessation Date (RCD), and Growing Season Length (GSL) from 1981 to 2020. To overcome sparse station networks in complex terrain, we utilized the ENACTS dataset, providing a robust 4-km gridded product. Using an analytical framework integrating the Modified Mann–Kendall test, Theil–Sen slope estimator, Innovative Trend Analysis (ITA), and Inverse Distance Weighting (IDW), we detected significant (<i>p</i> &lt; 0.05) warming trends across all stations. Mann-Kendall values for maximum (8.64–14.5) and minimum (1.45–2.07) temperatures confirmed monotonic warming over the 40 years. Precipitation trends were heterogeneous, with 75% of the region showing increases. While the Meher (main) season remained stable, the Belg (short) season became more irregular. Critically, ITA demonstrated significant scientific insight by detecting non-monotonic shifts in rainfall extremes that the monotonic MK test obscured, revealing a decoupling between total rainfall and seasonal reliability. Agroclimatic indices highlighted a pronounced east–west dipole: the northeast exhibited delayed ROD (after June 5) and earlier RCD (September 1), shortening the GSL, whereas the northwest showed a tendency toward extended seasons. This dipole suggests that regional trends are assocated with interactions between complex topography and atmospheric circulation. While this study identifies robust statistical correlations, these trends represent an integrated signal of global climate forcing and local drivers, necessitating future process-based modeling to isolate specific causal mechanisms. This study offers a critical foundation for climate-resilient agricultural planning in one of Africa’s most sensitive highland regions.</p> Graphical Abstract <p></p> <p>This graphical abstract presents the spatiotemporal dynamics of climate and agroclimatic shifts in the Northern Ethiopian Highlands from 1981 to 2020. Using ENACTS data, the visualization presents statistical trends in rainfall and temperature analyzed through a multi-method framework involving the Modified Mann-Kendall test, ITA, and the Theil-Sen estimator. Variability indices, including the Precipitation Concentration Index (PCI), Coefficient of Variation (CV), and Rainfall Anomaly Index (RAI) are integrated to map the distribution of Rainfall Onset Date (ROD), Cessation Date (RCD), and Growing Season Length (GSL). The visualization indicates a pronounced east-west climate dipole, characterized by a spatial asymmetry in agroclimatic stability. The western region generally exhibits longer growing seasons and earlier rainfall onset, whereas the eastern sector shows drying trends and a higher frequency of contracted growing seasons. These patterns are presented as statistical associations consistent with regional atmospheric forcing and complex topography, not as deterministic predictions. The evidence suggests that addressing regional food security requires location-specific adaptation strategies that account for these divergent spatiotemporal trajectories</p>

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Long-Term Climate Trends and Agroclimatic Shifts in the Northern Ethiopian Highlands: Evidence from Rainfall, Temperature, and Growing Season Indices

  • Abebe Misganaw Gedamu,
  • Getachew Alemayhu Damot,
  • Dereje Ademe Birhan,
  • Benjamin F. Zaitchik,
  • Tilahun Tadesse

摘要

The Northern Ethiopian Highlands are a critical agroecological zone where climate change poses serious challenges to rainfed farming, yet the region’s climatic dynamics remain poorly quantified. This study addresses that gap by examining spatiotemporal trends in temperature, precipitation, and agroclimatic indices, Rainfall Onset Date (ROD), Cessation Date (RCD), and Growing Season Length (GSL) from 1981 to 2020. To overcome sparse station networks in complex terrain, we utilized the ENACTS dataset, providing a robust 4-km gridded product. Using an analytical framework integrating the Modified Mann–Kendall test, Theil–Sen slope estimator, Innovative Trend Analysis (ITA), and Inverse Distance Weighting (IDW), we detected significant (p < 0.05) warming trends across all stations. Mann-Kendall values for maximum (8.64–14.5) and minimum (1.45–2.07) temperatures confirmed monotonic warming over the 40 years. Precipitation trends were heterogeneous, with 75% of the region showing increases. While the Meher (main) season remained stable, the Belg (short) season became more irregular. Critically, ITA demonstrated significant scientific insight by detecting non-monotonic shifts in rainfall extremes that the monotonic MK test obscured, revealing a decoupling between total rainfall and seasonal reliability. Agroclimatic indices highlighted a pronounced east–west dipole: the northeast exhibited delayed ROD (after June 5) and earlier RCD (September 1), shortening the GSL, whereas the northwest showed a tendency toward extended seasons. This dipole suggests that regional trends are assocated with interactions between complex topography and atmospheric circulation. While this study identifies robust statistical correlations, these trends represent an integrated signal of global climate forcing and local drivers, necessitating future process-based modeling to isolate specific causal mechanisms. This study offers a critical foundation for climate-resilient agricultural planning in one of Africa’s most sensitive highland regions.

Graphical Abstract

This graphical abstract presents the spatiotemporal dynamics of climate and agroclimatic shifts in the Northern Ethiopian Highlands from 1981 to 2020. Using ENACTS data, the visualization presents statistical trends in rainfall and temperature analyzed through a multi-method framework involving the Modified Mann-Kendall test, ITA, and the Theil-Sen estimator. Variability indices, including the Precipitation Concentration Index (PCI), Coefficient of Variation (CV), and Rainfall Anomaly Index (RAI) are integrated to map the distribution of Rainfall Onset Date (ROD), Cessation Date (RCD), and Growing Season Length (GSL). The visualization indicates a pronounced east-west climate dipole, characterized by a spatial asymmetry in agroclimatic stability. The western region generally exhibits longer growing seasons and earlier rainfall onset, whereas the eastern sector shows drying trends and a higher frequency of contracted growing seasons. These patterns are presented as statistical associations consistent with regional atmospheric forcing and complex topography, not as deterministic predictions. The evidence suggests that addressing regional food security requires location-specific adaptation strategies that account for these divergent spatiotemporal trajectories