Evidence map›Paper›PMID 40750612›Full record

ArticleScientific reports2025

Spatiotemporal analysis of CMIP6-based climate extremes and their implications for sustainable watershed management in the Gidabo watershed, Ethiopia.

Degefu Dogiso, Alemayehu Muluneh, Abiot Ketema

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Degefu DogisoAgricultural Engineering Department, Institute of Technology, Hawassa University, P.O. Box 05, Hawassa, Ethiopia. ddegsw@yahoo.com.
Alemayehu MulunehEnvironmental Science/Climate Change, Institute of Technology, Hawassa University, P.O. Box 05, Hawassa, Ethiopia.
Abiot KetemaAgricultural Engineering Department, Institute of Technology, Hawassa University, P.O. Box 05, Hawassa, Ethiopia.ORCID http://orcid.org/0000-0001-5986-6245

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate extremes have profound implications for watershed sustainability, influencing hydrological processes and soil erosion. This study examines spatiotemporal trends of precipitation and temperature extremes in Ethiopia's Gidabo watershed under the SSP2-4.5 and SSP5-8.5 scenarios, using an ensemble of six Global climate models (GCMs). The primary aim is to assess future climate extremes and their implications for watershed management. The GCM data were bias-corrected using the Distribution Mapping (DM) method in the CMhyd software, using daily precipitation and temperature data from six meteorological stations. The Mann-Kendall (MK) trend analysis and the Theil-Sen Estimator were applied to analyze extreme climate indices, while ArcGIS was used for spatial visualization. The results indicate that precipitation extremes (Rx1day, Rx5day, PRCPTOT, R95pTOT, and R99pTOT) decrease in the near future but increase in the mid-term, particularly in the northeastern part of the watershed. Dry spells decline, while wet spells increase, suggesting a wetter climate. Heavy rainfall days (R10mm and R20mm) decrease initially but rise in the mid-future. Temperature extremes (TXx, TXn, TNx, TNn) increase significantly, with the most pronounced warming under the SSP5-8.5. Furthermore, warm spells intensify, while cold spells become less frequent. These changes have critical implications for watershed management. The eastern and northeastern regions face higher flood and erosion risks, requiring soil conservation and flood mitigation measures, whereas the southwestern zones demand drought-resistant agriculture and water-efficient strategies. Proactive measures, including erosion control, land-use planning, and climate-resilient farming, are essential to mitigate climate change impacts and ensure sustainable water and soil resource management in the Gidabo watershed.

Indexed as

Climate extremesCMIP6 modelsGidabo watershedSpatiotemporal trends and sustainable watershed management

Identifiers

PMID40750612
PMCPMC12317060

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