干旱区生态环境知识资源中心(Arid): Identification of optimum afforestation areas considering sustainable management of natural resources, using geo-environmental criteria

Arid

DOI	10.1016/j.ecoleng.2021.106259
	Identification of optimum afforestation areas considering sustainable management of natural resources, using geo-environmental criteria
	Kordrostami, Fereshteh; Attarod, Pedram; Abbaspour, Karim C.; Ludwig, Ralf; Etemad, Vahid; Alilou, Hossein; Bozorg-Haddad, Omid
通讯作者	Kordrostami, F (corresponding author), Univ Tehran, Fac Nat Resources, Dept Forestry & Forest Econ, Coll Agr & Nat Resources, Karaj, Iran.
来源期刊	ECOLOGICAL ENGINEERING
ISSN	0925-8574
EISSN	1872-6992
出版年	2021
卷号	168
英文摘要	Conservation of natural resources is vital for sustainable management, especially in fragile semi-arid ecosystems. Forest plantations can provide a wide range of ecosystem services and deliver a measure of protection for soil and water resources. This study proposes a novel framework (Optimum Land Suitability Score, OLSS) to prioritize the most suitable areas with high priority for restoring degraded lands and protecting erosion-prone areas. We applied OLSS to the Latian watershed located in Tehran, Iran. The Latian watershed was divided into 56 subbasins, where we studied the importance of each sub-basin for afforestation. We used a multicriteria analysis using the Fuzzy Analytical Network Process to bridge the gap between previous studies for determining suitable areas for afforestation in which 21 factors of environmental variables, morphometric characteristics, and topographical indices were considered. Finally, sub-basins were divided into four classes based on the fuzzy theory. The evaluated result indicated that 9 sub-basins showed the highest priority for afforestation. The identified sub-basins were mostly located in areas of depleted plant coverage due to overgrazing and human interventions. We proposed afforestation with proper species adapted to the environmental characteristics of prioritized sub-basins as ecological management. The measure should decrease erosion and flood risk and sustain the Latian reservoir storage capacity. OLSS offers valuable information for watershed managers and decisionmakers to invest in soil conservations.
英文关键词	Forest plantation Land restoration Soil conservation Multicriteria analysis Fuzzy analytical network process
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000659060600004
WOS关键词	MORPHOMETRIC-ANALYSIS ; FOREST MANAGEMENT ; PRIORITY AREAS ; LAND ; MODEL ; PRIORITIZATION ; CLIMATE ; RESTORATION ; IMPACT ; BASIN
WOS类目	Ecology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology ; Engineering
来源机构	University of Western Australia
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368439
作者单位	[Kordrostami, Fereshteh; Attarod, Pedram; Etemad, Vahid] Univ Tehran, Fac Nat Resources, Dept Forestry & Forest Econ, Coll Agr & Nat Resources, Karaj, Iran; [Abbaspour, Karim C.] Swiss Fed Inst Aquat Sci & Technol, Eawag, Dubendorf, Switzerland; [Kordrostami, Fereshteh; Ludwig, Ralf] Ludwig Maximilians Univ Munchen, Dept Geog & Remote Sensing, Munich, Germany; [Alilou, Hossein] Univ Western Australia, UWA Sch Agr & Environm, Aquat Ecodynam, Crawley, WA 6009, Australia; [Bozorg-Haddad, Omid] Univ Tehran, Coll Agr & Nat Resources, Fac Agr Engn & Technol, Dept Irrigat & Reclamat Engn, Karaj, Iran
推荐引用方式 GB/T 7714	Kordrostami, Fereshteh,Attarod, Pedram,Abbaspour, Karim C.,et al. Identification of optimum afforestation areas considering sustainable management of natural resources, using geo-environmental criteria[J]. University of Western Australia,2021,168.
APA	Kordrostami, Fereshteh.,Attarod, Pedram.,Abbaspour, Karim C..,Ludwig, Ralf.,Etemad, Vahid.,...&Bozorg-Haddad, Omid.(2021).Identification of optimum afforestation areas considering sustainable management of natural resources, using geo-environmental criteria.ECOLOGICAL ENGINEERING,168.
MLA	Kordrostami, Fereshteh,et al."Identification of optimum afforestation areas considering sustainable management of natural resources, using geo-environmental criteria".ECOLOGICAL ENGINEERING 168(2021).