Collins M. Musafiri , Milka Kiboi , Onesmus K. Ng'etich , Michael Okoti , David K. Kosgei , Felix K. Ngetich
{"title":"Carbon footprint of smallholder rain-fed sorghum cropping systems of Kenya: A typology-based approach","authors":"Collins M. Musafiri , Milka Kiboi , Onesmus K. Ng'etich , Michael Okoti , David K. Kosgei , Felix K. Ngetich","doi":"10.1016/j.clcb.2023.100060","DOIUrl":null,"url":null,"abstract":"<div><p>Agricultural ecosystems are the main sources of soil-atmosphere exchange (methane-CH<sub>4</sub>, Carbon dioxide-CO<sub>2</sub> and Nitrous oxide -N<sub>2</sub>O) in sub-Saharan African countries, including Kenya. To feed the ever-growing population, there is a need to identify agricultural management practices to increase food production while reducing GHG emissions for climate change mitigation and adaptation. This study aimed to estimate the GHG balance at the farm scale and identify environmental hotspots and mitigation opportunities among smallholder sorghum farms in Western Kenya. The study hypothesized that different intensification levels influenced the GHG balance. The study collected data from 300 smallholder farms in western Kenya. The principal component analysis and hierarchical clustering analysis were used for farm typologies construction. Five farm types were constructed that ranged from no or minimal external inputs and highly intensified, small to large, and low to highly endowed in tropical livestock units. The Cool Farm Tool Excel program model was used to estimate GHG balances. that the sorghum cropping systems were net sinks of soil GHGs. The GHG balance, carbon footprint, and monetary footprint significantly varied across the farm types at <em>p</em> = 0.025, <em>p</em> = 0.018, and <em>p</em> = 0.004, respectively. The GHG balance ranged from – 818.76 kg CO2 eq. ha<sup>−1</sup> in manure-intensive and low fertilizer-intensity small farms to 174.29 kg CO<sub>2</sub> eq. ha<sup>−1</sup> in fertilizer-intensive and moderate manure application rates on small farms. Fertilizer production and direct and indirect emissions (fertilizer application) were the environmental hotspots accounting for 63 and 30 % of the GHG emissions. The carbon and monetary footprints ranged from -1.29 to 0.45 kg CO<sub>2</sub> eq. kg sorghum <sup>−1</sup> and -2.02 to 0.13 kg CO<sub>2</sub> eq. US$<sup>−1</sup> generated, respectively. The study established that sorghum cropping systems in Kenya produced limited greenhouse gas emissions.</p></div>","PeriodicalId":100250,"journal":{"name":"Cleaner and Circular Bioeconomy","volume":"6 ","pages":"Article 100060"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner and Circular Bioeconomy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772801323000258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Agricultural ecosystems are the main sources of soil-atmosphere exchange (methane-CH4, Carbon dioxide-CO2 and Nitrous oxide -N2O) in sub-Saharan African countries, including Kenya. To feed the ever-growing population, there is a need to identify agricultural management practices to increase food production while reducing GHG emissions for climate change mitigation and adaptation. This study aimed to estimate the GHG balance at the farm scale and identify environmental hotspots and mitigation opportunities among smallholder sorghum farms in Western Kenya. The study hypothesized that different intensification levels influenced the GHG balance. The study collected data from 300 smallholder farms in western Kenya. The principal component analysis and hierarchical clustering analysis were used for farm typologies construction. Five farm types were constructed that ranged from no or minimal external inputs and highly intensified, small to large, and low to highly endowed in tropical livestock units. The Cool Farm Tool Excel program model was used to estimate GHG balances. that the sorghum cropping systems were net sinks of soil GHGs. The GHG balance, carbon footprint, and monetary footprint significantly varied across the farm types at p = 0.025, p = 0.018, and p = 0.004, respectively. The GHG balance ranged from – 818.76 kg CO2 eq. ha−1 in manure-intensive and low fertilizer-intensity small farms to 174.29 kg CO2 eq. ha−1 in fertilizer-intensive and moderate manure application rates on small farms. Fertilizer production and direct and indirect emissions (fertilizer application) were the environmental hotspots accounting for 63 and 30 % of the GHG emissions. The carbon and monetary footprints ranged from -1.29 to 0.45 kg CO2 eq. kg sorghum −1 and -2.02 to 0.13 kg CO2 eq. US$−1 generated, respectively. The study established that sorghum cropping systems in Kenya produced limited greenhouse gas emissions.
农业生态系统是包括肯尼亚在内的撒哈拉以南非洲国家土壤-大气交换(甲烷-CH4、二氧化碳-CO2和一氧化二氮)的主要来源。为了养活不断增长的人口,有必要确定农业管理做法,以增加粮食产量,同时减少温室气体排放,从而缓解和适应气候变化。这项研究旨在估计农场规模的温室气体平衡,并确定肯尼亚西部小农户高粱农场的环境热点和缓解机会。该研究假设不同的强化水平会影响温室气体平衡。这项研究收集了肯尼亚西部300个小农户农场的数据。采用主成分分析法和层次聚类分析法进行农场类型学构建。建造了五种农场类型,从没有或很少的外部投入,到高度强化、从小到大、低到高的热带畜牧单位。Cool Farm Tool Excel程序模型用于估算GHG平衡。高粱种植系统是土壤温室气体的净汇。不同农场类型的温室气体平衡、碳足迹和货币足迹差异显著,分别为p=0.025、p=0.018和p=0.004。温室气体平衡范围从肥料密集型和低肥料密集型小型农场的818.76 kg CO2当量ha−1到肥料密集型小农场的174.29 kg CO2当量公顷−1。化肥生产和直接和间接排放(化肥施用)是环境热点,分别占温室气体排放量的63%和30%。碳足迹和货币足迹范围为-1.29至0.45千克二氧化碳当量。高粱−1千克和-2.02至0.13千克二氧化碳当量,分别产生−1美元。该研究证实,肯尼亚的高粱种植制度产生的温室气体排放量有限。