The agro-ecological capacity of north and central Sistan-Baluchestan Province, Iran, for canola cultivation determined by GIS and analytical hierarchical process

IF 2.3 Q2 REMOTE SENSING Applied Geomatics Pub Date : 2024-07-04 DOI:10.1007/s12518-024-00571-w
Ebrahim Moradi, Hamid Reza Mobasser, Ahmad Mehraban, Hamid Reza Ganjali
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Abstract

Identification of potential lands on the basis of their environmental benefits and constraints can greatly contribute to the stability of canola production in different parts of the world including Sistan-Baluchestan province, Iran. Accordingly, using GIS, the scores of environmental factors affecting canola production including temperature, rainfall, slope, altitude, organic matter, soil salinity, pH and soil nutrients (N, P, K, Fe and Zn) were integrated along with the weights of analytical hierarchical process (AHP) for the production of canola suitability maps. The zoning maps of climate, topography, and soil as well as the canola suitability maps and the current production maps of canola were prepared. According to the AHP results canola cultivation was affected the most by climate (rainfall and water sources) compared with topography and soil. ArcGIS results indicated southern lands of Zahedan had the highest organic matter, and excluding Hirmand, other parts of the area had appropriate salinity for canola production. The most appropriate areas in terms of acidity for canola production are Hirmand and the central part of Zahedan. In arable soil, the nitrogen level was not maximum in the region, and Nimrooz and Zabol had the highest phosphorus. Potassium was average in the research area, and Zabol, Zahak, Nimrooz and Hamoon had the highest Fe. The output maps obtained from the combination of various ecological factors indicated that the moderate and non-suitable classes of land for canola cultivation are located in the northern parts of Zahak, Hamon, Nimzoz and the total lands of Hirmand and Zabol.

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利用地理信息系统和层次分析法确定伊朗锡斯坦-俾路支斯坦省北部和中部种植油菜籽的农业生态能力
根据环境效益和制约因素确定潜在土地,可极大地促进包括伊朗锡斯坦-俾路支斯坦省在内的世界各地油菜籽生产的稳定性。因此,利用地理信息系统,将影响油菜籽生产的环境因素(包括温度、降雨量、坡度、海拔高度、有机质、土壤盐度、pH 值和土壤养分(氮、磷、钾、铁和锌))的得分与层次分析法(AHP)的权重相结合,绘制出油菜籽适宜性地图。绘制了气候、地形和土壤分区图以及油菜籽适宜性图和油菜籽当前生产图。根据 AHP 结果,与地形和土壤相比,油菜种植受气候(降雨和水源)的影响最大。ArcGIS 的结果表明,扎黑丹南部土地的有机质最高,除赫曼德外,该地区其他地方的盐度也适合油菜籽生产。就酸度而言,最适合油菜籽生产的地区是赫曼德和扎黑丹中部地区。在耕地土壤中,该地区的氮含量不是最高的,尼姆鲁兹和扎布尔的磷含量最高。研究地区的钾含量一般,扎布尔、扎哈克、尼姆鲁兹和哈蒙的铁含量最高。综合各种生态因素得出的产出图显示,油菜花种植的中等和非适宜土地等级位于扎哈克、哈蒙、尼姆鲁兹北部以及赫曼德和扎布尔的全部土地。
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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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