Assessment of trade-off balance of maize stover use for bioenergy and soil erosion mitigation in Western Kenya

Introduction Kakamega Forest, Kenya's last tropical rainforest, faces threats from escalating demands for firewood, charcoal, and agricultural expansion driven by population growth. Sustainable resource management is critical, with maize stover—a common lignocellulosic crop residue—proposed as a source for biogas and bioslurry production. However, its removal raises concerns about soil fertility and erosion control. This study evaluates the trade-off between maize stover's use for energy generation and its role in soil erosion mitigation in Western Kenya, considering biophysical conditions and households' socio-economic status. Methods Socio-economic data were collected from 91 households to assess energy usage. Soil erosion was quantified using the Revised Universal Soil Loss Equation (RUSLE). High-resolution remote sensing, self-organizing maps (SOM), and Hidden Markov Models (HMM) were integrated for annual field condition monitoring. A decision-tree machine learning model identified farm characteristics favorable for maize stover use in biogas production. Results Larger households were found to consume more energy per capita, while proximity to forests did not significantly influence firewood or charcoal consumption. Maize yields were significantly associated with land preparation methods (tractor, oxcart, or manual plowing; p < 0.001) and field size ( p < 0.05). Remote-sensing data indicated that the distance between homesteads and fields impacted crop growth status. RUSLE analysis revealed that soil erosion was more strongly influenced by landscape features than by soil properties or farming practices. Discussion The integration of SOM-HMM and microsatellite data improved field monitoring and data accuracy, providing valuable insights for sustainable agricultural practices in Kakamega. These findings highlight the complex trade-offs between maize stover utilization for energy production and its role in maintaining soil health, emphasizing the need for balanced resource management strategies.

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Publication Details

Journal
Frontiers in Sustainable Food Systems
Published
2025-02-07
DOI
https://doi.org/10.3389/fsufs.2025.1409457
Citations
2
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
1.01

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article

Assessment of trade-off balance of maize stover use for bioenergy and soil erosion mitigation in Western Kenya

Hans Langeveld, Yoshito Sawada, Keiji Jindo, A. J. Lazarus et al.
2 citations
Frontiers in Sustainable Food Systems
Energy and Environment Impacts
1.01
article

Assessment of trade-off balance of maize stover use for bioenergy and soil erosion mitigation in Western Kenya

Hans Langeveld, Yoshito Sawada, Keiji Jindo, A. J. Lazarus, Golaleh Ghaffari, Manisha Lamichhane
article en
2 citations

Abstract

Introduction Kakamega Forest, Kenya's last tropical rainforest, faces threats from escalating demands for firewood, charcoal, and agricultural expansion driven by population growth. Sustainable resource management is critical, with maize stover—a common lignocellulosic crop residue—proposed as a source for biogas and bioslurry production. However, its removal raises concerns about soil fertility and erosion control. This study evaluates the trade-off between maize stover's use for energy generation and its role in soil erosion mitigation in Western Kenya, considering biophysical conditions and households' socio-economic status. Methods Socio-economic data were collected from 91 households to assess energy usage. Soil erosion was quantified using the Revised Universal Soil Loss Equation (RUSLE). High-resolution remote sensing, self-organizing maps (SOM), and Hidden Markov Models (HMM) were integrated for annual field condition monitoring. A decision-tree machine learning model identified farm characteristics favorable for maize stover use in biogas production. Results Larger households were found to consume more energy per capita, while proximity to forests did not significantly influence firewood or charcoal consumption. Maize yields were significantly associated with land preparation methods (tractor, oxcart, or manual plowing; p < 0.001) and field size ( p < 0.05). Remote-sensing data indicated that the distance between homesteads and fields impacted crop growth status. RUSLE analysis revealed that soil erosion was more strongly influenced by landscape features than by soil properties or farming practices. Discussion The integration of SOM-HMM and microsatellite data improved field monitoring and data accuracy, providing valuable insights for sustainable agricultural practices in Kakamega. These findings highlight the complex trade-offs between maize stover utilization for energy production and its role in maintaining soil health, emphasizing the need for balanced resource management strategies.

Frontiers in Sustainable Food SystemsVol. 9
Chiba University (JP), Biomass Technology Group (Netherlands) (NL), Wageningen University & Research (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Wageningen University and Research
Openalex Percentile: Top 29%
Energy and Environment Impacts
1.01
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