Browsing by Author "Zeila, A."
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Item Soil Greenhouse Gas Emissions from Different Land Utilization Types in Western Kenya(Frontiers, 2022-11-30) Kibet, E.; Musafiri, C.M.; Kiboi, M.; Macharia, J.; Ng’etich, O.K.; Kosgei, D.K.; Mulianga, B.; Okoti, M.; Zeila, A.; Ngetich, F.K.; University of Embu ; Cortile Scientific Limited ; Kenyatta University ; Moi University ; Kenya Agricultural and Livestock Research Organization ; The World Bank ; Jaramogi Oginga Odinga University of Science and TechnologyIntroduction. There is a vast data gap for the national and regional greenhouse gas (GHG) budget from different smallholder land utilization types in Kenya and sub-Saharan Africa (SSA) at large. Quantifying soil GHG, i.e., methane (CH4), carbon dioxide (CO2), and nitrous oxide (N2O) emissions from smallholder land utilization types, is essential in filling the data gap. Methods. We quantified soil GHG emissions from different land utilization types in Western Kenya. We conducted a 26-soil GHG sampling campaign from the different land utilization types. The five land utilization types include 1) agroforestry M (agroforestry Markhamia lutea and sorghum), 2) sole sorghum (sorghum monocrop), 3) agroforestry L (Sorghum and Leucaena leucocephala), 4) sole maize (maize monocrop), and 5) grazing land. Results and discussion. The soil GHG fluxes varied across the land utilization types for all three GHGs (p ≤ 0.0001). We observed the lowest CH4 uptake under grazing land (−0.35 kg CH4–C ha−1) and the highest under sole maize (−1.05 kg CH4–C ha−1). We recorded the lowest soil CO2 emissions under sole maize at 6,509.86 kg CO2–Cha−1 and the highest under grazing land at 14,400.75 kg CO2–Cha−1. The results showed the lowest soil N2O fluxes under grazing land at 0.69 kg N2O–N ha−1 and the highest under agroforestry L at 2.48 kg N2O–N ha−1. The main drivers of soil GHG fluxes were soil bulk density, soil organic carbon, soil moisture, clay content, and root production. The yield-scale N2O fluxes ranged from 0.35 g N2O–N kg−1 under sole maize to 4.90 g N2O–N kg−1 grain yields under agroforestry L. Nevertheless, our findings on the influence of land utilization types on soil GHG fluxes and yield-scaled N2O emissions are within previous studies in SSA, including Kenya, thus fundamental in filling the national and regional data of emissions budget. The findings are pivotal to policymakers in developing low-carbon development across land utilization types for smallholders farming systems.Item Soil Organic Carbon Stocks under Different Land Utilization Types in Western Kenya(MDPI, 2022-07-06) Kibet, E.; Musafiri, C.M.; Kiboi, M.N.; Macharia, J.; Ng’etich, O.K.; Kosgei, D.K.; Mulianga, B.; Okoti, M.; Zeila, A.; Ngetich, F.K.; University of Embu ; Cortile Scientific ; KCA University ; Kenyatta University ; Moi University ; Kenya Agricultural and Livestock Research Organization (KALRO) ; The World Bank ; Jaramogi Oginga Odinga University of Science and Technology (JOOUST)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.Item Use of Inorganic Fertilizer on Climate-Smart Crops Improves Smallholder Farmers’ Livelihoods: Evidence from Western Kenya.(Elsevier Ltd., 2023) Musafiri, C.M.; Kiboi, M.; Macharia, J.; Ng’etich, O.K.; Okoti, M.; Mulianga, M.; Kosgei, D.K.; Zeila, A.; Ngetich, F.K.; Cortile Scientific ; , KCA University ; Kenyatta University ; , University of Embu ; Kenya Agricultural and Livestock Research Organization (KALRO) ; Moi University ; The World Bank ; Jaramogi Oginga Odinga University of Science and Technology (JOOUST)The main challenges facing smallholder farmers in sub-Saharan Africa (SSA) are soil fertility decline and climate change, culminating in increased food insecurity. The double effect of climate change and soil fertility decline could be devastating among the poor rural smallholder farmers, who solely depend on rain-fed agriculture with little investment in adaptive mechanisms. Using inorganic fertilizers and careful selection of climate-resilient crops such as sorghum could improve the livelihoods of smallholder farmers through improved soil health and crop yields. However, information on the effects of inorganic fertilizer on sorghum production remains uncertain, especially in SSA. We evaluated the effects of inorganic fertilizers on sorghum yields among smallholder farmers in Western Kenya. We conducted a cross-sectional survey and collected data from 300 smallholder sorghum farmers. We employed a multi-stage sampling procedure to collect data from the specific smallholder farmers from the target population. We employed endogenous switching regression (ESR) modeling to control observed and unobserved bias in predicting the effects of inorganic fertilizer use on productivity. Smallholder farmers applied a limited amount of inorganic fertilizer. We established that hired labor, agricultural training, and farmers' perception of soil erosion were significant positive determinants of inorganic fertilizer use. Location and access to weather forecast information were key negative determinants of inorganic fertilizer use. The use of inorganic fertilizer increased crop yields by 14%. The findings suggested that inorganic amendments could promote food security and improve purchasing power, thus enhancing smallholder farmers' capacity to cope with declining soil fertility and climate change-related challenges. Therefore, agricultural policies targeting improved productivity of smallholder sorghum farmers could enhance inorganic fertilizer use while considering the determinants.
