干旱区生态环境知识资源中心(Arid): Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran

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DOI	10.1016/j.ecoinf.2021.101427
	Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran
	Yousefi, Saleh; Avand, Mohammadtaghi; Yariyan, Peyman; Goujani, Hassan Jahanbazi; Costache, Romulus; Tavangar, Shahla; Tiefenbacher, John P.
通讯作者	Avand, M (corresponding author), AREEO, Dept Forests Rangelands & Watershed Management En, Kohgiluyeh & Boyer Ahmad Agr & Nat Resources Res, Yasuj 7591611740, Iran.
来源期刊	ECOLOGICAL INFORMATICS
ISSN	1574-9541
EISSN	1878-0512
出版年	2021
卷号	65
英文摘要	Choosing Selecting suitable sites for afforestation is a complex process that is influenced by various factors that require the use of new models and methods in order to create better results. The main purpose of this study is to investigate the use of a machine learning framework to map the best sites for afforestation with J. excelsa, an important species for soil and water conservation in Firuzkuh County, Tehran Province, Iran. Existing stands of J. excelsa were located. Measures of 14 environmental variables were compiled at each site. Three machine learning algorithms-Fuzzy ARTMAP (FAM), Multi-layers perceptron (MLP), and Classification tree analysis (CTA) - were used to model ideal locations for growing the tree. They were compared in terms of success rate. The best performance was achieved by CTA (area under curve (AUC) = 0.899). MLP (AUC = 0.892) was second best, and FAM (AUC = 0.835) had the lowest success. All three models achieved very good to excellent results; however, the CTA model was the most effective. Locations of high and very high favorability for J. excelsa comprise between 8% and 18% of the study area. The factors that are most important for the locations of replanting are those with bedrock of the Cl geological group and where rainfall ranges from 350 mm/year and 450 mm/year. This study offers support to decision makers for improving (lower cost and less time) selection of planting sites that are more likely to support tree survival to achieve natural restoration.
英文关键词	Afforestation Forest restoration Tree planting Site suitability Firuzkuh region
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000704529300002
WOS关键词	MULTILAYER PERCEPTRON ; ANTIMICROBIAL ACTIVITY ; SENSITIVITY ANALYSIS ; NEURAL-NETWORKS ; FOREST ; GIS ; CLASSIFICATION ; CONSERVATION ; REGRESSION ; MULTICRITERIA
WOS类目	Ecology
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363015
作者单位	[Yousefi, Saleh] AREEO, Soil Conservat & Watershed Management Res Dept, Chaharmahal & Bakhtiari Agr & Nat Resources Res &, Shahrekord, Iran; [Avand, Mohammadtaghi] AREEO, Dept Forests Rangelands & Watershed Management En, Kohgiluyeh & Boyer Ahmad Agr & Nat Resources Res, Yasuj 7591611740, Iran; [Yariyan, Peyman] Islamic Azad Univ, Saghez Branch, Dept Surveying Engn, Saghez, Iran; [Goujani, Hassan Jahanbazi] AREEO, Chaharmahal & Bakhtiari Agr & Nat Resources Res &, Res Div Nat Resources, Shahrekord, Iran; [Costache, Romulus] Danube Delta Natl Inst Res & Dev, 165 Babadag St, Tulcea 820112, Romania; [Costache, Romulus] Transilvania Univ Brasov, Dept Civil Engn, 5 Turnului Str, Brasov 500152, Romania; [Tavangar, Shahla] Tarbiat Modare Univ, Fac Nat Resources & Marine Sci, Dept Watershed Management Engn, Tehran, Iran; [Tiefenbacher, John P.] Texas State Univ San Marcos, Dept Geog, San Marcos, TX 78666 USA
推荐引用方式 GB/T 7714	Yousefi, Saleh,Avand, Mohammadtaghi,Yariyan, Peyman,et al. Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran[J],2021,65.
APA	Yousefi, Saleh.,Avand, Mohammadtaghi.,Yariyan, Peyman.,Goujani, Hassan Jahanbazi.,Costache, Romulus.,...&Tiefenbacher, John P..(2021).Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran.ECOLOGICAL INFORMATICS,65.
MLA	Yousefi, Saleh,et al."Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran".ECOLOGICAL INFORMATICS 65(2021).