Analysis of crop suitability index for current and future climates using statistically downscaled CMIP6 outputs over Africa

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Imoleayo Ezekiel Gbode, Vincent Olanrewaju Ajayi, Amadou Coulibaly, Daniel Abel, Katrin Ziegler, Torsten Weber, Seydou Brehima Traore, Ibraheem Ayomide Raji, Heiko Paeth
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Abstract

The study aimed to assess the impact of climate change on the crop suitability index (CSI) of selected staple crops for current (1981–2010) and future (2021–2050 and 2051–2080) climates across Africa. Precipitation and mean temperature data from gridded observations, and 10 Global Climate Models (GCMs) were utilized to calculate the CSI for maize, soybean, wheat, plantain, cassava, rice, millet, sorghum, and yam. The Ecocrop model implemented in R, utilizing the FAO-Ecocrop database alongside climatic variables for different climatic zones across the continent, was employed to compute the CSI. The results indicate that all crops, except rain-fed rice, are suitable in parts of West and Central African regions, with wheat being inclusive in some parts of the Guinea Coast. The northern, eastern, and southern African regions are identified as the least suitable for any crop production based on the balance between the base climate parameters over the historical period. Analysis over this historical period reveals an increasing trend for major crops in most regions, except for wheat crop production, which demonstrates a decreasing trend in most areas. Projection analysis reveals that the Sahel region is expected to be the most affected by climate change, with a significant reduction in the suitability index for most crops. Conversely, the Southeastern Africa and the Guinea Coast regions are likely to be the least affected, as the suitability index increases for the considered crops. This analysis provides crucial information for effective agricultural planning and resource allocation, optimizing land use by identifying crops aligned with prevailing environmental conditions, including soil type, climate, and water availability. Such information enhances the understanding of crop suitability, contributing to improved agricultural productivity and sustainability.

Abstract Image

利用统计上缩小的CMIP6在非洲的产出分析当前和未来气候的作物适宜性指数
该研究旨在评估气候变化对非洲当前(1981-2010年)和未来(2021-2050年和2051-2080年)气候下选定主要作物作物适宜性指数(CSI)的影响。利用网格化观测的降水和平均温度数据以及10个全球气候模式(GCMs)计算了玉米、大豆、小麦、车前草、木薯、水稻、小米、高粱和山药的CSI。在R中实现的Ecocrop模型利用粮农组织-Ecocrop数据库以及整个非洲大陆不同气候带的气候变量来计算CSI。结果表明,除雨养水稻外,所有作物都适合西非和中非的部分地区种植,几内亚海岸的一些地区也适合种植小麦。根据历史时期基本气候参数之间的平衡,非洲北部、东部和南部地区被确定为最不适合任何作物生产的地区。对这一历史时期的分析表明,除小麦作物产量在大多数地区呈下降趋势外,大多数地区的主要作物产量呈上升趋势。预测分析表明,萨赫勒地区预计将受到气候变化的最大影响,大多数作物的适宜性指数将大幅下降。相反,非洲东南部和几内亚海岸地区可能受到的影响最小,因为所考虑的作物的适宜性指数增加了。这一分析为有效的农业规划和资源配置提供了重要信息,通过识别符合当前环境条件(包括土壤类型、气候和水分可用性)的作物来优化土地利用。这些信息增进了对作物适宜性的了解,有助于提高农业生产力和可持续性。
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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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