What does this research mean for the field?

Over the past three decades (1994–2024), the Aberdare Forest ecosystem in Kenya has experienced statistically significant spatial and temporal warming across its ecological zones, accompanied by non-significant positive trends in rainfall. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To assess spatiotemporal trends in temperature and precipitation across the Aberdare Forest ecosystem in Kenya from 1994 to 2024.

September 15, 2026ClimateOpen Access

Spatiotemporal Trends in Temperature and Rainfall Across the Aberdare Forest Ecosystem, Kenya (1994–2024)

View Full Paper

Ask AI

Bookmark

Authors

JKJulius W. Kamau TTThuita Thenya JMJacinta Maweu

Discussion

Member takes

Overview

Spatiotemporal analysis reveals significant warming without distinct rainfall changes in the Aberdare Forest ecosystem, highlighting rising climatic pressures on tropical montane habitats.

Key Points

To assess spatiotemporal trends in temperature and precipitation across the Aberdare Forest ecosystem in Kenya from 1994 to 2024.
Extracted high-resolution gridded temperature (ERA5-Land, 9 km) and precipitation (CHIRPS-v3, 5 km) data, validated against Kenya Meteorological Department weather station observations.
Applied the non-parametric Mann–Kendall test to identify trend significance and direction, alongside Sen’s slope estimator to quantify rates of change across forest, bamboo, and moorland zones.
Detected a statistically significant positive warming trend across all evaluated ecological zones over the 30-year observation period.
Identified a positive but statistically non-significant trend in rainfall across the ecosystem, characterized by spatial variation in trend magnitude.

Cite This Study

Kamau et al. (2026) studied this question.

synapsesocial.com/papers/6aa913819013453be30a183a https://doi.org/10.3390/cli14090193

View Full Paper

Ask AI

Bookmark

September 15, 2026ClimateOpen Access

Spatiotemporal Trends in Temperature and Rainfall Across the Aberdare Forest Ecosystem, Kenya (1994–2024)

View Full Paper

Ask AI

Bookmark

Authors

JKJulius W. Kamau TTThuita Thenya JMJacinta Maweu

Discussion

Member takes

Overview

Spatiotemporal analysis reveals significant warming without distinct rainfall changes in the Aberdare Forest ecosystem, highlighting rising climatic pressures on tropical montane habitats.

Key Points

To assess spatiotemporal trends in temperature and precipitation across the Aberdare Forest ecosystem in Kenya from 1994 to 2024.
Extracted high-resolution gridded temperature (ERA5-Land, 9 km) and precipitation (CHIRPS-v3, 5 km) data, validated against Kenya Meteorological Department weather station observations.
Applied the non-parametric Mann–Kendall test to identify trend significance and direction, alongside Sen’s slope estimator to quantify rates of change across forest, bamboo, and moorland zones.
Detected a statistically significant positive warming trend across all evaluated ecological zones over the 30-year observation period.
Identified a positive but statistically non-significant trend in rainfall across the ecosystem, characterized by spatial variation in trend magnitude.

Cite This Study

Kamau et al. (2026) studied this question.

synapsesocial.com/papers/6aa913819013453be30a183a https://doi.org/10.3390/cli14090193

View Full Paper

Ask AI

Bookmark