利用地理空间技术评价南苏丹恩扎拉县和延比奥县旱作玉米生产的土地适宜性

Aziz Justin Bazugba Isaac, Hussein Massawe Boniface, Jamson Shitindi Mawazo, Kur Deng Pio
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摘要

根据土地的农业适宜性对土地进行分类对于农业发展和未来的粮食生产规划至关重要。在这方面,在恩扎拉县和延比奥县的Sakure和Nginda Payams进行了旱作玉米品种土地适宜性评估,覆盖面积为47 500公顷。本次评估的目的是利用地理参考土壤调查数据和空间环境数据创建半详细的土地适宜性地图(比例尺为1:10万),以协助农业发展规划者和决策者。在ArcGIS中采用层次分析法,采用协同克里格法生成土地适宜性图。结果表明,56%的土地高度适宜种植玉米,44%的土地中等适宜种植玉米。玉米生产最关键的限制因素包括恶劣的道路条件、远离主干道、极低的CEC(阳离子交换能力)和土壤肥力下降,这导致了轮作的做法。在此基础上,建议以1:25 000的比例进行详细的土地适宜性评估。此外,由于该地区实行混合种植,应进行耕作制度研究。关键词:土地适宜性图,社会经济,ArcGIS,层次分析法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Land suitability evaluation for rainfed maize production using geospatial technologies in Nzara and Yambio counties, South Sudan
Classifying land based on its suitability for agriculture is crucial for agricultural development and future planning for food production. In this context, a land suitability assessment for rainfed maize varieties was conducted in Sakure and Nginda Payams of Nzara and Yambio counties, covering an area of 47,500 ha. The purpose of this assessment was to create a semi-detailed land suitability map (scale 1:100,000) using georeferenced soil survey data and spatial environmental data to assist agricultural development planners and decision-makers. The analytical hierarchy process was employed in ArcGIS to generate the land suitability map using the co-kriging method. The results indicated that 56% of the land was highly suitable, while 44% was moderately suitable for maize production. The most critical limiting factors for maize production included poor road conditions, distance from the main road, very low CEC (cation exchange capacity), and a decline in soil fertility, which has led to the practice of shifting cultivation. Based on these findings, it is recommended to conduct a detailed land suitability assessment at a scale of 1:25,000. Additionally, a study on farming systems should be carried out since mixed cropping is practiced in the area. Key words: Land suitability map, socio-economic, ArcGIS, analytical hierarchy process.
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