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Soil Organic Carbon Stocks under Different Land Utilization Types in Western Kenya

Author

Listed:
  • Esphorn Kibet

    (Department of Water and Agricultural Resource Management, University of Embu, P.O. Box 6, Embu 60100, Kenya)

  • Collins Muimi Musafiri

    (Cortile Scientific, P.O. Box 34991, Nairobi 00100, Kenya)

  • Milka Ngonyo Kiboi

    (Cortile Scientific, P.O. Box 34991, Nairobi 00100, Kenya
    Division of Research Innovation and Outreach, KCA University, P.O. Box 56808, Nairobi 00200, Kenya)

  • Joseph Macharia

    (Department of Geography, Kenyatta University, P.O. Box 43844, Nairobi 00100, Kenya)

  • Onesmus K Ng’etich

    (Department of Water and Agricultural Resource Management, University of Embu, P.O. Box 6, Embu 60100, Kenya)

  • David K Kosgei

    (Department of Agricultural Economics and Resource Management, Moi University, P.O. Box 3900, Eldoret 30100, Kenya)

  • Betty Mulianga

    (Kenya Agricultural and Livestock Research Organization (KALRO), Sugar Research Institute (SRI), P.O. Box 44, Kisumu 40100, Kenya)

  • Michael Okoti

    (Kenya Agricultural and Livestock Research Organization (KALRO), Headquarters, P.O. Box 30148, Nairobi 00100, Kenya)

  • Abdirahman Zeila

    (The World Bank, Nairobi 00100, Kenya)

  • Felix Kipchirchir Ngetich

    (Cortile Scientific, P.O. Box 34991, Nairobi 00100, Kenya
    School of Agricultural and Food Sciences, Jaramogi Oginga Odinga University of Science and Technology (JOOUST), P.O. Box 210, Bondo 40601, Kenya)

Abstract

The up-surging population in sub-Saharan Africa (SSA) has led to the conversion of more land for agricultural purposes. Resilient land utilization types that input carbon to the soil are key in enhancing climate change mitigation. However, there are limited data on different land utilization types’ contribution to climate mitigation through carbon input to soils. The study aims to quantify carbon stock across different land utilization types (LUT) practiced in Western Kenya. The following land utilization types were studied: agroforestry M (agroforestry with Markhamia lutea ), sole sorghum, agroforestry L (agroforestry with Leucaena leucocephalaI ), sole maize, and grazing land replicated thrice. To determine soil bulk density, SOC concentration, and soil carbon stock, soil samples were collected at depths of 0–5, 5–10, 10–20, and 20–30 cm from different LUTs. A PROC ANOVA was used to determine the difference in soil bulk density, SOC, and SOC stock between different LUTs and depths. The four variables differed across the LUTs and depths. A high soil bulk density was observed at 0–5 cm under grazing land (1.6 g cm −3 ) and the lowest under agroforestry M (1.30 g cm −3 ). Conversely, the soil bulk density was low at 20–30 cm under grazing land. The 0–5 cm depth accounted for a high share of SOC and SOC stock under Agroforestry M, while the 10–20 and 20–30 cm depth accounted for the high share of SOC stock under agroforestry L. The study showed differences in SOC across the different depths and LUTs. The findings highlight that agroforestry L and agroforestry M are promising interventions toward climate mitigation through carbon induction to soils.

Suggested Citation

  • Esphorn Kibet & Collins Muimi Musafiri & Milka Ngonyo Kiboi & Joseph Macharia & Onesmus K Ng’etich & David K Kosgei & Betty Mulianga & Michael Okoti & Abdirahman Zeila & Felix Kipchirchir Ngetich, 2022. "Soil Organic Carbon Stocks under Different Land Utilization Types in Western Kenya," Sustainability, MDPI, vol. 14(14), pages 1-12, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8267-:d:856878
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    References listed on IDEAS

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    1. Hugo De Groote & Bernard Vanlauwe & Esther Rutto & George D. Odhiambo & Fred Kanampiu & Zeyaur R. Khan, 2010. "Economic analysis of different options in integrated pest and soil fertility management in maize systems of Western Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 471-482, September.
    2. Tomislav Hengl & Jorge Mendes de Jesus & Gerard B M Heuvelink & Maria Ruiperez Gonzalez & Milan Kilibarda & Aleksandar Blagotić & Wei Shangguan & Marvin N Wright & Xiaoyuan Geng & Bernhard Bauer-Marsc, 2017. "SoilGrids250m: Global gridded soil information based on machine learning," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-40, February.
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    Cited by:

    1. Miriam Githongo & Milka Kiboi & Anne Muriuki & Andreas Fliessbach & Collins Musafiri & Felix K. Ngetich, 2022. "Organic Carbon Content in Fractions of Soils Managed for Soil Fertility Improvement in Sub-Humid Agroecosystems of Kenya," Sustainability, MDPI, vol. 15(1), pages 1-17, December.

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