Assessing the performance of restored landscapes using tree species diversity and carbon stocks in selected forest types of Kenya

This study investigated the performance of three recently restored forests of Kakamega (tropical rainforest), Kaberua (moist-montane), and Kabaru-Naromoru (dry-montane) to inform restoration strategies that balance ecological and climate change mitigation goals. Using data from 43 plots with 7-year-old native trees, biodiversity was assessed using Shannon–Wiener (H') and Simpson's (D) indices. Forest sustainability was evaluated using reverse J-curves and carbon sequestration was estimated using IPCC guidelines and an allometric equation by Chave et al. 2014. Results revealed low sequestration rates in the early growth phase of native trees with 1.70, 1.36 and 0.63 tCO2e/ha/yr for Kabaru-Naromoru, Kakamega and Kaberua, respectively. Low survival was identified in all forests. The relationship between tree numbers in increasing diameter sizes was sustainable, with R2 values above 0.92. Kakamega had the highest diversity (H’ = 1.50, D = 0.77), Kaberua (H’ = 1.13, D = 0.68) and Kabaru-Naromoru the lowest diversity (H’ = 0.68, D = 0.44). Spearman's rank correlation analysis showed no significant correlation between Shannon Wiener biodiversity index and carbon accumulation across the three sites: Kakamega (rho = −0.34, p = 0.22), Kaberua (rho = 0.30, p = 0.30) and Kabaru-Naromoru (rho = 0.25, p = 0.39). The association between forests' stock accumulation and Simpson's Diversity Index varied across forests, with Kakamega showing a significant moderate negative correlation (rho =−0.56, p = 0.031). These findings suggest that tree diversity-carbon relationships are context-dependent, with areas of high carbon build-up using fewer but fast-growing species instead of restoration that uses a wider scope of species. This highlights the need for tailored restoration strategies to optimise ecological and climate outcomes.

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Publication Details

Journal
Discover Forests
Published
2026-01-07
DOI
https://doi.org/10.1007/s44415-025-00063-8
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
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article

Assessing the performance of restored landscapes using tree species diversity and carbon stocks in selected forest types of Kenya

Mwangi James Kinyanjui, George G. Ndiritu, Christopher Amudavi
Discover Forests
Forest ecology and management
article

Assessing the performance of restored landscapes using tree species diversity and carbon stocks in selected forest types of Kenya

Mwangi James Kinyanjui, George G. Ndiritu, Christopher Amudavi
article en

Abstract

This study investigated the performance of three recently restored forests of Kakamega (tropical rainforest), Kaberua (moist-montane), and Kabaru-Naromoru (dry-montane) to inform restoration strategies that balance ecological and climate change mitigation goals. Using data from 43 plots with 7-year-old native trees, biodiversity was assessed using Shannon–Wiener (H') and Simpson's (D) indices. Forest sustainability was evaluated using reverse J-curves and carbon sequestration was estimated using IPCC guidelines and an allometric equation by Chave et al. 2014. Results revealed low sequestration rates in the early growth phase of native trees with 1.70, 1.36 and 0.63 tCO2e/ha/yr for Kabaru-Naromoru, Kakamega and Kaberua, respectively. Low survival was identified in all forests. The relationship between tree numbers in increasing diameter sizes was sustainable, with R2 values above 0.92. Kakamega had the highest diversity (H’ = 1.50, D = 0.77), Kaberua (H’ = 1.13, D = 0.68) and Kabaru-Naromoru the lowest diversity (H’ = 0.68, D = 0.44). Spearman's rank correlation analysis showed no significant correlation between Shannon Wiener biodiversity index and carbon accumulation across the three sites: Kakamega (rho = −0.34, p = 0.22), Kaberua (rho = 0.30, p = 0.30) and Kabaru-Naromoru (rho = 0.25, p = 0.39). The association between forests' stock accumulation and Simpson's Diversity Index varied across forests, with Kakamega showing a significant moderate negative correlation (rho =−0.56, p = 0.031). These findings suggest that tree diversity-carbon relationships are context-dependent, with areas of high carbon build-up using fewer but fast-growing species instead of restoration that uses a wider scope of species. This highlights the need for tailored restoration strategies to optimise ecological and climate outcomes.

Discover ForestsVol. 2(1)
Karatina University (KE), Regional Centre for Mapping of Resources for Development (KE)
Life in Land
Openalex Percentile: Top 97%
Forest ecology and management
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