Evidence map›Paper›PMID 42071038›Full record

ArticleScientific reports2026

Climate change scenarios across South-Kivu agroecological zones, Eastern D.R. Congo.

Luc Cimusa Kulimushi, Jean M Mondo, Janvier B Bashagaluke, Aimé H K Bisimwa, Alphonse Z Balezi, Irfan Ur Rashid, Pankaj Prasad, Jackson-Gilbert M Majaliwa, Sudhir Kumar Singh, Charles Kahindo and 2 more

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Article in Scientific reports, 2026. 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

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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

12 authors.

Luc Cimusa KulimushiDoctoral School of Agroecology and Climate Sciences, Université Evangélique en Afrique (UEA), Bukavu, Democratic Republic of Congo. kcimusa@gmail.com.
Jean M MondoDoctoral School of Agroecology and Climate Sciences, Université Evangélique en Afrique (UEA), Bukavu, Democratic Republic of Congo.
Janvier B BashagalukeDoctoral School of Agroecology and Climate Sciences, Université Evangélique en Afrique (UEA), Bukavu, Democratic Republic of Congo.
Aimé H K BisimwaDoctoral School of Agroecology and Climate Sciences, Université Evangélique en Afrique (UEA), Bukavu, Democratic Republic of Congo.
Alphonse Z BaleziDepartment of Agriculture, Université Officielle de Bukavu (UOB), Bukavu, Democratic Republic of Congo.
Irfan Ur RashidResearch and Development Division, Meteorological Department, Islamabad, 44000, Pakistan.
Pankaj PrasadGeoinformatics Division, Department of Geography, Mahapurusha Srimanta Sankaradeva Viswavidyalaya, Nagaon, India.
Jackson-Gilbert M MajaliwaRUFORUM, Makerere University, Kampala, Uganda.
Sudhir Kumar SinghNehru Science Centre, K. Banerjee Centre of Atmospheric & Ocean Studies, IIDS, University of Allahabad, Prayagraj, 211002, Uttar Pradesh, India.
Charles KahindoDoctoral School of Agroecology and Climate Sciences, Université Evangélique en Afrique (UEA), Bukavu, Democratic Republic of Congo.
Mansour AlmazrouiCenter of Excellence for Climate Change Research, Department of Meteorology, King Abdulaziz University, Jeddah, Saudi Arabia.
Katcho KarumeDoctoral School of Agroecology and Climate Sciences, Université Evangélique en Afrique (UEA), Bukavu, Democratic Republic of Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing climate projections to capture agroecological heterogeneity and topographic gradients is essential for localized planning in complex terrains. This study evaluates historical trends and projected changes in temperature and precipitation across six agroecological zones (AEZs) in South-Kivu, Democratic Republic of the Congo under SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios. We evaluated seven CMIP6 models using the Taylor Skill Score (TSS), selecting the three best-performing models per variable and AEZ to construct zone-specific multi-model ensembles. Bias correction was performed using Quantile Mapping (QM) with a two-fold cross validation design (1983-1998 and 1999-2014). Selected models demonstrated high ranking stability across independent historical windows, achieving a weighted mean stability index of 0.83 for precipitation, 0.94 for maximum temperature (Tmax) and 1.00 for minimum temperature (Tmin). For precipitation, BCC-CSM2-MR excelled in low-altitude zones, while CMCC-CM2-SR5 and MPI-ESM1-2-HR were more effective in high-altitude zones. MRI-ESM2-0 and GFDL-ESM4 performed best for temperature across most AEZs. Climate trajectories were analyzed for near-term (2026-2050), mid-term (2051-2075) and long-term (2075-2100) periods relative to a 1983-2014 baseline. Reported projections represent the ensemble mean, while inter-model spread is detailed in the results. Results indicate continuous warming across all AEZs, with Tmin increasing more rapidly than Tmax. Province wide for the near (long) term, Tmax increases range from 0.78 °C (1.64 °C), 0.82 °C (2.59 °C), to 0.87 °C (2.85 °C) under SSP2-4.5, SSP3-7.0, and SSP5-8.5; Tmin increases range from 1.08 °C (2.12 °C), 1.13 °C (3.12 °C), and 1.25 °C (3.46 °C), respectively. Precipitation projections reveal non-linear, AEZ-differentiated trajectories characterized by near-term reductions followed by a long-term transition toward wetting in several zones. The EMAZ exhibits persistent declines (-9.8%) and the THMAZ shows a late-century wetting (+ 21%) under SSP5-8.5. Furthermore, a shift in seasonal redistribution is projected, with the long rain season intensifying and the short rain season contracting. These findings characterize the range of plausible climate trajectories in South Kivu, providing a necessary evidence base for future risk-targeted adaptation planning in eastern DRC and comparable tropical mountain systems.

Indexed as

Agroecological zones, Congo BasinCMIP6, Climate projections, Taylor Skill ScoreSSP scenariosTopographic gradients

Identifiers

PMID42071038
PMCPMC13332071

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.