Assessing sub-Saharan Africa's GHG emissions from croplands: environmental impacts and sustainable mitigation strategies.

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Emmanuel Igwe
{"title":"Assessing sub-Saharan Africa's GHG emissions from croplands: environmental impacts and sustainable mitigation strategies.","authors":"Emmanuel Igwe","doi":"10.1007/s10661-025-13633-2","DOIUrl":null,"url":null,"abstract":"<p><p>Globally, agricultural lands are among the top emitters of greenhouse gases (GHGs), responsible for over 20% of total greenhouse gas (GHG) emissions. Climatic conditions, an acute challenge in sub-Saharan Africa (SSA), where access to mitigation technologies remains limited, have heavily influenced these lands. This study explores GHG contributions from crop production and their devastating and deteriorating impacts on the economy and environment and proposes a sustainable solution. The research design includes the application of various measuring metrics to examine the intensities of climate variabilities using panel data and real-time data from remote sensing (RS). Both sources of data were verified via a blinded comparison of CO<sub>2</sub>eqKg emitting capacity from leading cropland emitters in SSA, as a method to eliminate flawed data. Estimate stochastic frontier analysis (SFA) was used to compute the recorded data from 1988 to 2022, in combination with QGIS and Google Earth SFA proved to be the most effective model for assessing the impacts of climate change on production since it was invented and introduced by Aigner, Lovell, and Schmidt in 1977. The deployment of the Sentinel-2 satellite has facilitated the capture of real-time images of land use and land cover (LULC), which revealed an annual average crop yield loss of 58% rendering only 0-40% of the cropland effective for potential crop growth. The investigation further showed that among six closely monitored countries, South Africa had the highest CO<sub>2</sub> equivalent emissions (kg), peaking at 64 kg CO<sub>2</sub>eq/kg in 1990 and declining to 58 kg CO<sub>2</sub>eq/kg in 2017. Ethiopia, the second-largest emitter, had a 2007 emission rate of 24 kg CO<sub>2</sub>eqKg. Nigeria is next, contributing a mean value of 21 kg CO<sub>2</sub>eq/kg. It was established that in each of the three (3) nations (South Africa, Ethiopia, and Nigeria) defined as heavy emitters in SSA, the annual contribution quota to global GHG emission is far above what is emitted in industrialized nation. The study revealed that an estimated total cropland of 10,881,657.5 square hectares in North Central Tier (NCT) 2 (Nigeria, Niger) and North Central Tier 3 (Sudan, Ethiopia) is considered the hotspot of the GHG emission index in SSA. The primary causes of emissions were anthropogenic activities and long-standing unsustainable agricultural practices. The implications of the above findings were recorded from 2013 to 2022 as the most diminutive years in the region, with an estimated 21% ecological resource (aquatic species) declined. The economic implications include food insecurity and agricultural job loss, while the environmental effects include climate change, agricultural land loss, and ecological natural resource diminishing in Nigeria, South Africa, Kenya, Mali, Ghana, Burundi, and Zambia due to high GHG annual emission. The study recommends improving crop breeds with significant GHG absorption rates and introducing eco-friendly crop production and land management measures to enhance carbon sequestration from cropland.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 2","pages":"208"},"PeriodicalIF":2.9000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Monitoring and Assessment","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s10661-025-13633-2","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Globally, agricultural lands are among the top emitters of greenhouse gases (GHGs), responsible for over 20% of total greenhouse gas (GHG) emissions. Climatic conditions, an acute challenge in sub-Saharan Africa (SSA), where access to mitigation technologies remains limited, have heavily influenced these lands. This study explores GHG contributions from crop production and their devastating and deteriorating impacts on the economy and environment and proposes a sustainable solution. The research design includes the application of various measuring metrics to examine the intensities of climate variabilities using panel data and real-time data from remote sensing (RS). Both sources of data were verified via a blinded comparison of CO2eqKg emitting capacity from leading cropland emitters in SSA, as a method to eliminate flawed data. Estimate stochastic frontier analysis (SFA) was used to compute the recorded data from 1988 to 2022, in combination with QGIS and Google Earth SFA proved to be the most effective model for assessing the impacts of climate change on production since it was invented and introduced by Aigner, Lovell, and Schmidt in 1977. The deployment of the Sentinel-2 satellite has facilitated the capture of real-time images of land use and land cover (LULC), which revealed an annual average crop yield loss of 58% rendering only 0-40% of the cropland effective for potential crop growth. The investigation further showed that among six closely monitored countries, South Africa had the highest CO2 equivalent emissions (kg), peaking at 64 kg CO2eq/kg in 1990 and declining to 58 kg CO2eq/kg in 2017. Ethiopia, the second-largest emitter, had a 2007 emission rate of 24 kg CO2eqKg. Nigeria is next, contributing a mean value of 21 kg CO2eq/kg. It was established that in each of the three (3) nations (South Africa, Ethiopia, and Nigeria) defined as heavy emitters in SSA, the annual contribution quota to global GHG emission is far above what is emitted in industrialized nation. The study revealed that an estimated total cropland of 10,881,657.5 square hectares in North Central Tier (NCT) 2 (Nigeria, Niger) and North Central Tier 3 (Sudan, Ethiopia) is considered the hotspot of the GHG emission index in SSA. The primary causes of emissions were anthropogenic activities and long-standing unsustainable agricultural practices. The implications of the above findings were recorded from 2013 to 2022 as the most diminutive years in the region, with an estimated 21% ecological resource (aquatic species) declined. The economic implications include food insecurity and agricultural job loss, while the environmental effects include climate change, agricultural land loss, and ecological natural resource diminishing in Nigeria, South Africa, Kenya, Mali, Ghana, Burundi, and Zambia due to high GHG annual emission. The study recommends improving crop breeds with significant GHG absorption rates and introducing eco-friendly crop production and land management measures to enhance carbon sequestration from cropland.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信