Assessment of potential land suitability for rainfed wheat production using GIS and multi criteria decision analysis in the Southwestern parts of Ethiopia.

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2025-06-12 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0324540
Bacha Gebissa Negeri, Bai Xiuguang, Mitiku Badasa Moisa
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引用次数: 0

Abstract

Wheat production in Ethiopia is vital for improving food security, boosting the national economy, and achieving self-sufficiency in food consumption. The present study aims to assess the potential land suitability for rainfed wheat (Triticum aestivum L.) production by using Geographic Information System and multi criteria decision analysis in southwestern parts of Ethiopia. Biophysical data, including land use and land cover (LULC), soil drainage, soil texture, soil depth, proximity to markets and roads, land surface temperature, slope, rainfall, and elevation, were used. In addition, different software tools, such as ArcGIS 10.3, ERDAS Imagine 2015, IDRISI Selva 17, and ArcSWAT were applied. The results revealed that approximately 177.1 km² (1.3%) of the study area was classified as highly suitable, 5375.2 km² (38.2%) as moderately suitable, 7,246.0 km² (51.5%) as marginally suitable, and 1235.1 km² (8.8%) as currently not suitable for rainfed wheat cultivation. Furthermore, out of the 23 districts analyzed, Sayo Nole and Bedelle Zuriya were identified as highly suitable for wheat production, with an area of 32.7km2 and 23.3km2 respectively. Therefore, the study recommends that future study research investigate additional other ecological parameters, such as soil PH, lime, gypsum, salinity, alkalinity and socio-economic data, which were not included in the present study.

利用GIS和多标准决策分析评估埃塞俄比亚西南部地区旱作小麦生产的潜在土地适宜性
埃塞俄比亚的小麦生产对改善粮食安全、促进国民经济和实现粮食消费自给自足至关重要。本研究旨在利用地理信息系统和多标准决策分析对埃塞俄比亚西南部地区旱作小麦(Triticum aestivum L.)生产的潜在适宜性进行评价。生物物理数据包括土地利用和土地覆盖(LULC)、土壤排水、土壤质地、土壤深度、与市场和道路的接近程度、地表温度、坡度、降雨量和海拔。此外,还使用了不同的软件工具,如ArcGIS 10.3、ERDAS Imagine 2015、IDRISI Selva 17、ArcSWAT等。结果表明,研究区约177.1 km²(1.3%)为高度适宜区,5375.2 km²(38.2%)为中等适宜区,7246.0 km²(51.5%)为轻度适宜区,1235.1 km²(8.8%)为目前不适宜旱作小麦种植区。此外,在分析的23个地区中,Sayo Nole和Bedelle Zuriya被确定为非常适合小麦生产的地区,面积分别为32.7km2和23.3km2。因此,该研究建议未来的研究调查更多的其他生态参数,如土壤PH、石灰、石膏、盐度、碱度和社会经济数据,这些都没有包括在本研究中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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