Evaluating Land Suitability for Wheat Cultivation Criteria Analysis Fuzzy-AHP and Geospatial Techniques in Northern Basrah Governorate.

Q4 Agricultural and Biological Sciences Basrah Journal of Agricultural Sciences Pub Date : 2024-05-19 DOI:10.37077/25200860.2024.37.1.16
Mustafa S. A. Almayyahi, Salah M. S. Al-Attab
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Abstract

Land suitability assessment is essential for planned land management strategies aimed at preserving soil and increasing productivity while ensuring sustainable agricultural production. Land degradation resulting from poor land management and fallowing practices typically leads to low land productivity in Iraq. To maintain agricultural productivity in the targeted area, agricultural requirements must align with available resources through land suitability analysis. In the northern region of Basrah Governorate in Iraq, the study focused on integrating GIS-based land suitability analysis with the fuzzy-analytical hierarchy process (F-AHP) approach. The analysis revealed varying suitability categories throughout the study area, with the largest proportion of unsuitable areas found in category N2, covering 31,202.36 hectares (37.76%), and category N1, currently unsuitable, covering an area of 19,956.24 hectares (24.15%). On the other hand, the moderately suitable category (S3) covered 8,297.26 hectares (10.04%), while the moderately suitable category (S2) covered 23,177.79 hectares (28.05%) of the total study area. No highly suitable lands were identified. The key determining factors for the suitability of lands for wheat cultivation were high values of electrical conductivity, carbonate minerals, bulk density, and low organic carbon content. Most agricultural lands are being used in a manner that contradicts their suitable potentials in the study area. Therefore, the pattern of agricultural land use needs to be adjusted based on their current potentials to reduce soil degradation.
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通过模糊-AHP 和地理空间技术分析评估北巴士拉省小麦种植的土地适宜性。
土地适宜性评估对于规划旨在保护土壤和提高生产力同时确保可持续农业生产的土地管理战略至关重要。在伊拉克,土地管理不善和休耕造成的土地退化通常会导致土地生产力低下。为了保持目标地区的农业生产率,必须通过土地适宜性分析使农业需求与可用资源相匹配。在伊拉克巴士拉省北部地区,研究重点是将基于地理信息系统的土地适宜性分析与模糊分析层次过程(F-AHP)方法相结合。分析结果表明,整个研究区域的适宜性类别各不相同,不适宜地区比例最大的是 N2 类,面积为 31 202.36 公顷(37.76%),目前不适宜的是 N1 类,面积为 19 956.24 公顷(24.15%)。另一方面,中等适宜类别(S3)占地 8,297.26 公顷(10.04%),而中等适宜类别(S2)占地 23,177.79 公顷(28.05%)。没有发现高度适宜的土地。决定土地是否适合种植小麦的关键因素是高导电率值、碳酸盐矿物、容重和低有机碳含量。在研究地区,大多数农用土地的使用方式与其适宜潜力不符。因此,需要根据农田目前的潜力调整农田使用模式,以减少土壤退化。
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来源期刊
Basrah Journal of Agricultural Sciences
Basrah Journal of Agricultural Sciences Environmental Science-Pollution
CiteScore
1.20
自引率
0.00%
发文量
35
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