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Modelling organic farming suitability by spatial indicators of GIS integrated MCDA in Golestan Province, Iran
NJAS: Impact in Agricultural and Life Sciences ( IF 2.4 ) Pub Date : 2023-03-21 , DOI: 10.1080/27685241.2023.2191796
Farhad Daylam 1 , Hossein Kazemi 1 , Behnam Kamkar 2
Affiliation  

ABSTRACT

Organic farming suitability can improve the health of environment, agroecosystems and humans, quality of products, and local economy. Organic agricultural system is not very much evolved in Iran. In this paper a model is proposed to identify the suitable zones in 14 counties of Golestan Province, northeast of Iran, for the development of organic farming using spatial indicators, spatial analysis and Multi-Criteria Decision Analysis (MCDA). In this model, some important criteria such as climatic variables, topographic factors, soil characteristics, ecological variables, environmental variables and developmental variables were evaluated and considered as spatial indicators. The thematic layers were classified based on agronomical requirements tables of organic farming and were overlaid based on Weighted Overlay Analysis (WOA) in ArcMap software. Final maps were separately generated and classified to five classes of suitability degree for spring and winter crops. According to the results of model, development of organic farming is possible for up to 14.72 and 17.76 percent of the current lands of Golestan Province in Iran for organic spring and winter cropping, respectively. In this research, we developed a land suitability model for organic farming based on the evaluation of spatial variables in Geographic Information System (GIS) and MCDA. Results provided useful information that can be used as decision support tools in the development of organic agriculture in Golestan Province, other similar regions in Iran and other countries in the world.



中文翻译:

通过 GIS 综合 MCDA 在伊朗戈勒斯坦省的空间指标模拟有机农业适宜性

摘要

有机农业适宜性可以改善环境、农业生态系统和人类的健康、产品质量和地方经济。有机农业系统在伊朗并没有得到很大发展。在本文中,提出了一个模型,用于使用空间指标、空间分析和多标准决策分析 (MCDA) 确定伊朗东北部戈勒斯坦省 14 个县的有机农业发展的适宜区域。在这个模型中,一些重要的标准,如气候变量、地形因素、土壤特性、生态变量、环境变量和发展变量被评估并被视为空间指标。专题图层根据有机农业的农艺要求表进行分类,并根据 ArcMap 软件中的加权叠加分析 (WOA) 进行叠加。最终地图分别生成并分为五类春冬作物适宜度。根据模型结果,伊朗戈勒斯坦省现有土地的 14.72% 和 17.76% 分别可以发展有机农业,用于有机春耕和冬耕。在这项研究中,我们基于地理信息系统 (GIS) 和 MCDA 中空间变量的评估开发了有机农业的土地适宜性模型。结果提供了有用的信息,可用作戈勒斯坦省、伊朗其他类似地区和世界其他国家有机农业发展的决策支持工具。根据模型结果,伊朗戈勒斯坦省现有土地的 14.72% 和 17.76% 分别可以发展有机农业,用于有机春耕和冬耕。在这项研究中,我们基于地理信息系统 (GIS) 和 MCDA 中空间变量的评估开发了有机农业的土地适宜性模型。结果提供了有用的信息,可用作戈勒斯坦省、伊朗其他类似地区和世界其他国家有机农业发展的决策支持工具。根据模型结果,伊朗戈勒斯坦省现有土地的 14.72% 和 17.76% 分别可以发展有机农业,用于有机春耕和冬耕。在这项研究中,我们基于地理信息系统 (GIS) 和 MCDA 中空间变量的评估开发了有机农业的土地适宜性模型。结果提供了有用的信息,可用作戈勒斯坦省、伊朗其他类似地区和世界其他国家有机农业发展的决策支持工具。我们基于地理信息系统 (GIS) 和 MCDA 中空间变量的评估开发了有机农业的土地适宜性模型。结果提供了有用的信息,可用作戈勒斯坦省、伊朗其他类似地区和世界其他国家有机农业发展的决策支持工具。我们基于地理信息系统 (GIS) 和 MCDA 中空间变量的评估开发了有机农业的土地适宜性模型。结果提供了有用的信息,可用作戈勒斯坦省、伊朗其他类似地区和世界其他国家有机农业发展的决策支持工具。

更新日期:2023-03-21
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