Potentialities of soil taxa common in the landscape of valleys in the arid Mediterranean region

IF 3.5 2区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Annals of Agricultural Science Pub Date : 2022-06-01 DOI:10.1016/j.aoas.2022.02.001
Taher M.H. Yossif
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Abstract

The study was carried out to establish soil map. Land evaluation was made according to MicroLEIS models. The study area is Naghamish valley, North Western coast of Egypt. The study indicated that the study area could be distinguished into seven landforms. Twenty-two soil profiles, spatially distributed upon Sentinel-2A satellite image classification to represent the landforms of wadi Naghamish's basin. They were morphologically described, their chemical and physical properties were determined, and their diagnostic characteristics were pointed. Results point out, in terms of topography, profile depth and soil texture, ten soil units could be identified. The study area could be distinguished into five sub great soil groups. Cervatana model reveals that 64.25% of soils are considered non-productive, 22.64% is moderately capable, whereas only 0.54% and 2.64% of the total area range from excellent to good capable land for agricultural production, respectively. The rest of the area occupying 9.94% is associated with urban settlement and escarpment landform units. At subclass level, there are S3l and S3r, referring to moderate capability with slight constraint severity and S3lr specifying those affected by severe soil constraints and erosion risk. Regarding soil suitability for some selected crops, the results of Almagra model indicated that the soils formed on the coastal plain vary from suitable to marginally suitable, in contradiction of soils formed on the wadi course, piedmont plain and tableland of plateau vary from marginally suitable to unsuitable in general for most tested crop as affected by limiting factors related to very shallow to shallow depth, high lime content, light soil texture and very poor to poor drainage.

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地中海干旱地区山谷景观中常见土壤分类群的潜力
本研究旨在建立土壤图谱。利用MicroLEIS模型进行土地评价。研究区域位于埃及西北海岸的Naghamish山谷。研究表明,研究区可划分为7种地貌。22个土壤剖面,空间分布在Sentinel-2A卫星图像分类上,代表瓦迪纳哈米什盆地的地貌。描述了它们的形态,测定了它们的化学和物理性质,并指出了它们的诊断特征。结果表明,根据地形、剖面深度和土壤质地,可识别出10个土壤单元。研究区可划分为五大土壤类群。Cervatana模型显示,64.25%的土壤被认为是非生产性土壤,22.64%的土壤具有中等农业生产能力,而只有0.54%和2.64%的土壤具有优良到良好的农业生产能力。其余面积为城市聚落和陡坡地貌单元,占9.94%。在子类层面上,有S3l和S3r,指的是约束程度较轻的中等能力,S3lr指的是受严重土壤约束和侵蚀风险影响的能力。对于部分作物的土壤适宜性,Almagra模型结果表明,与河道、山前平原和高原塬地的土壤相反,受极浅至浅深、石灰含量高、土壤质地轻、排水极差等限制因素的影响,大多数被试作物的土壤总体上从适宜到不适宜变化。
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来源期刊
Annals of Agricultural Science
Annals of Agricultural Science AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
12.60
自引率
0.00%
发文量
18
审稿时长
33 days
期刊介绍: Annals of Agricultural Sciences (AOAS) is the official journal of Faculty of Agriculture, Ain Shams University. AOAS is an open access peer-reviewed journal publishing original research articles and review articles on experimental and modelling research at laboratory, field, farm, landscape, and industrial levels. AOAS aims to maximize the quality of the agricultural sector across the globe with emphasis on the Arabian countries by focusing on publishing the high-quality applicable researches, in addition to the new methods and frontiers leading to maximizing the quality and quantity of both plant and animal yield and final products.
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