干旱区生态环境知识资源中心(Arid): Investigating biophysical constraints and determining potential cultivation of Tecomella undulata using fuzzy logic model: a case study arid regions of Iran

Arid

DOI	10.1007/s12517-021-07914-6
	Investigating biophysical constraints and determining potential cultivation of Tecomella undulata using fuzzy logic model: a case study arid regions of Iran
	Amiri, Iraj; Sodaeizadeh, Hamid; Arany, Asghar Mosleh; Ardakani, Mohammad Ali Hakimzadeh; Fathizad, Hassan
通讯作者	Sodaeizadeh, H (corresponding author), Yazd Univ, Coll Nat Resources & Desert Study, Dept Arid & Desert Reg Management, Yazd, Iran.
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2021
卷号	14 期号:21
英文摘要	This paper aimed to investigate the sustainable development of the biophysical constraints as well as to determine the potential cultivation of Tecomella undulata by utilizing a fuzzy logic model in Kerman province, Iran. To achieve the aim, the climatic indicators including the growth period, the glacial period, start and end of the glacial period, precipitation, evapotranspiration, as well as the topographic indicators including height, slope, slope direction, and features of waterways and soils were employed. Ultimately, the digital elevation model in the ArcGIS environment was mapped. In this way, weighting the main criteria using fuzzy membership functions and operators (GAMMA, PRODUCT, SUM, OR, AND), establishing the best relationship function between, considering the presence and the absence of plant, and utilizing a set of factors to map Tecomella undulata at Kerman province; agroecological zoning map of it was classified into five categories, including very good, good, moderate, poor, and unsuitable. The results revealed that the class separation way was the most proper method for Tecomella undulata zoning in this region where the Landau 0.9 gamma operates due to the fuzzy fit of each indicator based on the Antarctic distribution maps. About 12.64% of the region was in a very good area, about 16.09% of the region was in a good area, about 33.45% was in a medium area, and about 21.57% of the region was in a poor area. In the end, about 16.23% of the region was in the unsuitable class.
英文关键词	Tecomella undulata Fuzzy logic ArcGIS Zoning Kerman province
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000708909200002
WOS关键词	CROP
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362591
作者单位	[Amiri, Iraj; Sodaeizadeh, Hamid; Arany, Asghar Mosleh; Ardakani, Mohammad Ali Hakimzadeh; Fathizad, Hassan] Yazd Univ, Coll Nat Resources & Desert Study, Dept Arid & Desert Reg Management, Yazd, Iran
推荐引用方式 GB/T 7714	Amiri, Iraj,Sodaeizadeh, Hamid,Arany, Asghar Mosleh,et al. Investigating biophysical constraints and determining potential cultivation of Tecomella undulata using fuzzy logic model: a case study arid regions of Iran[J],2021,14(21).
APA	Amiri, Iraj,Sodaeizadeh, Hamid,Arany, Asghar Mosleh,Ardakani, Mohammad Ali Hakimzadeh,&Fathizad, Hassan.(2021).Investigating biophysical constraints and determining potential cultivation of Tecomella undulata using fuzzy logic model: a case study arid regions of Iran.ARABIAN JOURNAL OF GEOSCIENCES,14(21).
MLA	Amiri, Iraj,et al."Investigating biophysical constraints and determining potential cultivation of Tecomella undulata using fuzzy logic model: a case study arid regions of Iran".ARABIAN JOURNAL OF GEOSCIENCES 14.21(2021).