Collaborative Innovation Center On Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Environ Monit Assess. 2021 Nov 19;193(12):831. doi: 10.1007/s10661-021-09547-4.
Maize crop (Zea mays) is one of the staple foods in the East African (EA) region. However, the suitability of its production area is threatened by projected climate change. The Multimodel Ensemble (MME) from eight Coupled Model Intercomparison Project 5 (CMIP5) models was used in this paper to show climate change between the recent past (1970-2000) and the future (2041-2060), i.e., the mid-twenty-first century. The climatic suitability of maize crop production areas is evaluated based on these climate datasets and the current maize crop presence points using Maximum entropy models (MaxEnt). The MME projection showed a slight increase in precipitation under both RCP4.5 and RCP8.5 in certain places and a reduction in most of southern Tanzania. The temperature projection showed that the minimum temperature would increase by 0.3 to 2.95 °C and 0.3 to 3.2 °C under RCP4.5 and 8.5, respectively. Moreover, the maximum temperature would increase by 1.0 to 3.0 °C and 1.2 to 3.6 °C under RCP4.5 and 8.5 respectively. The impacts of these projected changes in climate on maize production areas are the reduction in the suitability of the crop, especially around central and western Tanzania, mid-northern and western Uganda, and parts of western Kenya by 20-40%, and patches of EA will experience a reduction of as high as 40-60%, especially in northern Uganda, and western Kenya. The projected changes in temperature and precipitation present a significant negative change in maize crop suitability. Thus, food security and the efforts towards the elimination of hunger in EA by the mid-twenty-first century will be hampered significantly. We recommend crop diversification to suit the new future environments, modernizing maize farming programs through the adoption of new technologies including irrigation, and climate-smart agricultural practices, etc.
玉米作物(Zea mays)是东非(EA)地区的主食之一。然而,其生产地区的适宜性受到预计气候变化的威胁。本文使用来自八个耦合模型比较计划 5(CMIP5)模型的多模型集合(MME)来展示近期(1970-2000 年)和未来(2041-2060 年),即二十一世纪中叶的气候变化。根据这些气候数据集和当前玉米作物存在点,使用最大熵模型(MaxEnt)评估玉米作物生产地区的气候适宜性。MME 预测显示,在 RCP4.5 和 RCP8.5 下,某些地区的降水略有增加,而坦桑尼亚南部大部分地区的降水减少。温度预测显示,最低温度将分别增加 0.3 至 2.95°C 和 0.3 至 3.2°C,最高温度将分别增加 1.0 至 3.0°C 和 1.2 至 3.6°C。此外,在 RCP4.5 和 RCP8.5 下,坦桑尼亚中部和西部、乌干达中北部和西部以及肯尼亚西部的玉米产量适宜区将减少 20-40%,而东非的部分地区将减少高达 40-60%,尤其是在乌干达北部和肯尼亚西部。预计的气候变化对玉米产量适宜区的影响是,作物适宜性将降低 20-40%,特别是在坦桑尼亚中部和西部、乌干达中北部和西部以及肯尼亚西部的部分地区,而东非的部分地区将减少高达 40-60%,尤其是在乌干达北部和肯尼亚西部。温度和降水的预计变化对玉米作物的适宜性产生了显著的负面影响。因此,到二十一世纪中叶,东非的粮食安全和消除饥饿的努力将受到严重阻碍。我们建议进行作物多样化,以适应新的未来环境,通过采用灌溉等新技术和气候智能型农业实践,实现玉米种植现代化。