Esphorn Kibet, C. Musafiri, M. Kiboi, J. Macharia, O. Ng’etich, D. Kosgei, B. Mulianga, M. Okoti, Abdi Zeila, F. Ngetich
{"title":"Soil greenhouse gas emissions from different land utilization types in Western Kenya","authors":"Esphorn Kibet, C. Musafiri, M. Kiboi, J. Macharia, O. Ng’etich, D. Kosgei, B. Mulianga, M. Okoti, Abdi Zeila, F. Ngetich","doi":"10.3389/fsoil.2022.956634","DOIUrl":null,"url":null,"abstract":"Introduction 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.","PeriodicalId":73107,"journal":{"name":"Frontiers in soil science","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in soil science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fsoil.2022.956634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 2
Abstract
Introduction 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.
引言肯尼亚和撒哈拉以南非洲不同小农户土地利用类型的国家和区域温室气体预算存在巨大的数据差距。量化土壤GHG,即小农户土地利用类型的甲烷(CH4)、二氧化碳(CO2)和一氧化二氮(N2O)排放量,对于填补数据空白至关重要。方法我们量化了肯尼亚西部不同土地利用类型的土壤GHG排放量。我们从不同的土地利用类型中进行了26次土壤GHG采样活动。五种土地利用类型包括:1)农林M(农林黄和高粱),2)独苗高粱(高粱单作),3)农林L(高粱和银合欢),4)独苗玉米(玉米单作)和5)牧场。结果和讨论所有三种温室气体的土壤GHG通量在不同土地利用类型之间存在差异(p≤0.0001)。我们观察到,牧场的CH4吸收量最低(−0.35 kg CH4–C ha−1),而纯玉米的CH4吸收率最高(−1.05 kg CH4–C ha−1。我们记录到,单独种植玉米的土壤CO2排放量最低,为6509.86 kg CO2–Cha−1,而放牧地的土壤二氧化碳排放量最高,为14400.75 kg CO2–Cha−1。结果表明,放牧地土壤N2O通量最低,为0.69 kg N2O–N ha−1,农林结合地土壤N20通量最高,为2.48 kg N2O-N ha−1。土壤GHG通量的主要驱动因素是土壤容重、土壤有机碳、土壤水分、粘土含量和根系产量。产量规模的N2O通量范围从单一玉米下的0.35 g N2O–N kg−1到农林业L下的4.90 g N2O-N kg−2粮食产量。然而,我们关于土地利用类型对土壤GHG通量和产量规模N2O排放的影响的研究结果在包括肯尼亚在内的SSA先前的研究中,因此对于填补国家和地区排放预算数据至关重要。这些发现对政策制定者在小农户农业系统的土地利用类型中发展低碳发展至关重要。