干旱区生态环境知识资源中心(Arid): GIS-based agro-ecological zoning for crop suitability using fuzzy inference system in semi-arid regions

Arid

DOI	10.1016/j.ecolind.2020.106646
	GIS-based agro-ecological zoning for crop suitability using fuzzy inference system in semi-arid regions
	Nabati, Jafar; Nezami, Ahmad; Neamatollahi, Ehsan; Akbari, Morteza
通讯作者	Nabati, J
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2020
卷号	117
英文摘要	Agro-ecological zoning (AEZ) is one of the most useful tools for recognizing land capabilities to be allocated for the best and most profitable types of productivity. AEZ, as applied in FAO studies, defines zones based on combinations of topography, soil, land use, and climatic characteristics. In this research, data preparation in Geographic Information System (GIS) environment and membership function defined in fuzzy inference system (FIS) then used weighted linear combination (WLC) for determining parameters weight for agro-ecological zoning of chickpea in semi-arid regions of Iran that includes climatic, topography, soil, and land use parameters. At first, a climatic zoning map was developed based on rainfall, temperature, absolute minimum temperature, and evapotranspiration maps. The topography zoning map was made based on slope, aspect, and hypsometry. Soil zoning map was developed based on soil texture and soil erosion maps. Moreover, the land use map was developed by land type and land cover maps. The results showed that significant parts of the studied area were classified as unsuitable 52.59% (1.388.731 ha), 27.84% (734.881 ha) and marginal with 27.53% (727.535 ha), 17.96% (474.566 ha) while the optimal zones were only 4.15% (109.697 ha) and 8.44% (223.210 ha) for rain-fed chickpea cultivation and irrigated chickpea cultivation, respectively. The results also showed that agro-climatic zoning and agro-land use zoning have an essential role in determining the optimal areas for chickpea production in rain-fed and irrigated conditions. The use of GIS and fuzzy inference system improved the accuracy of spatial data, more productive analysis, and enhanced data access.
英文关键词	GIS Fuzzy inference system Chickpea Suitability Agro-ecological zoning
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000555551600004
WOS关键词	LAND SUITABILITY ; RIVER-BASIN ; FOOD ; AHP ; VULGARIS ; PROVINCE ; EROSION ; IMPACT ; COVER ; MAIZE
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325385
作者单位	[Nabati, Jafar; Neamatollahi, Ehsan] Ferdowsi Univ Mashhad, Res Ctr Plant Sci, Legume Dept, Mashhad, Razavi Khorasan, Iran; [Nezami, Ahmad] Ferdowsi Univ Mashhad, Fac Agr, Dept Agron & Plant Breeding, Mashhad, Razavi Khorasan, Iran; [Akbari, Morteza] Ferdowsi Univ Mashhad, Fac Nat Resources & Environm, Dept Desert Area Management, Mashhad, Razavi Khorasan, Iran
推荐引用方式 GB/T 7714	Nabati, Jafar,Nezami, Ahmad,Neamatollahi, Ehsan,et al. GIS-based agro-ecological zoning for crop suitability using fuzzy inference system in semi-arid regions[J],2020,117.
APA	Nabati, Jafar,Nezami, Ahmad,Neamatollahi, Ehsan,&Akbari, Morteza.(2020).GIS-based agro-ecological zoning for crop suitability using fuzzy inference system in semi-arid regions.ECOLOGICAL INDICATORS,117.
MLA	Nabati, Jafar,et al."GIS-based agro-ecological zoning for crop suitability using fuzzy inference system in semi-arid regions".ECOLOGICAL INDICATORS 117(2020).