Igwe Emmanuel
Department of Environmental Management, Institute of Environmental Engineering, RUDN University, Miklukho-Maklaya Street, 117198, Moscow, Russia.
Environ Monit Assess. 2025 Jan 30;197(2):208. doi: 10.1007/s10661-025-13633-2.
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 COeqKg 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 equivalent emissions (kg), peaking at 64 kg COeq/kg in 1990 and declining to 58 kg COeq/kg in 2017. Ethiopia, the second-largest emitter, had a 2007 emission rate of 24 kg COeqKg. Nigeria is next, contributing a mean value of 21 kg COeq/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.
在全球范围内,农业用地是温室气体(GHG)的主要排放源之一,占温室气体总排放量的20%以上。气候条件是撒哈拉以南非洲(SSA)面临的严峻挑战,该地区获得缓解技术的机会仍然有限,这对这些土地产生了重大影响。本研究探讨了作物生产产生的温室气体排放及其对经济和环境的破坏性和恶化影响,并提出了可持续的解决方案。研究设计包括应用各种测量指标,利用面板数据和来自遥感(RS)的实时数据来检验气候变率的强度。这两种数据来源都通过对SSA主要农田排放源的COeqKg排放能力进行盲法比较来验证,以此作为消除有缺陷数据的一种方法。估计随机前沿分析(SFA)用于计算1988年至2022年的记录数据,并结合QGIS和谷歌地球。自1977年Aigner、Lovell和Schmidt发明并引入SFA以来,它被证明是评估气候变化对生产影响的最有效模型。哨兵2号卫星的部署有助于获取土地利用和土地覆盖(LULC)的实时图像,该图像显示农作物年产量平均损失58%,只有0 - 40%的农田对潜在作物生长有效。调查还显示,在六个密切监测的国家中,南非的CO当量排放量(kg)最高,1990年达到峰值64 kg COeq/kg,2017年降至58 kg COeq/kg。第二大排放国埃塞俄比亚在2007年的排放率为24 kg COeqKg。接下来是尼日利亚,平均贡献值为21 kg COeq/kg。研究确定,在被定义为SSA重排放国的三个国家(南非、埃塞俄比亚和尼日利亚)中,每个国家对全球温室气体排放的年度贡献配额远远高于工业化国家的排放量。研究表明,在中北部第二层级(尼日利亚、尼日尔)和中北部第三层级(苏丹、埃塞俄比亚),估计共有10881657.5平方公里的农田被认为是SSA温室气体排放指数的热点地区。排放的主要原因是人为活动和长期不可持续的农业做法。上述研究结果的影响在2013年至2022年期间被记录为该地区最微小的年份,估计有21%的生态资源(水生物种)减少。经济影响包括粮食不安全和农业就业岗位流失,而环境影响包括气候变化、农业用地流失以及由于高年度温室气体排放导致尼日利亚、南非、肯尼亚、马里、加纳、布隆迪和赞比亚的生态自然资源减少。该研究建议培育具有高温室气体吸收率的作物品种,并引入生态友好型作物生产和土地管理措施,以增强农田的碳固存。