title: The query of suitable areas for plantation and development of Taxus baccata L species by using GIS in northern Iran.
abstract: Taxus baccata is a native species to the Caspian forests and is considered as the identification of these forests by some resources. The aim of this study was to understand the ecological characteristics of T. baccata in order to find suitable areas for its plantation in the Pone Aram preserve of Golestan province. Therefore, Multi-Criteria Evaluation (MCE) methods based on Analytical Hierarchy Process (AHP) were used. In this process at first the needed and effective natural indexes were used as 10 parameters. Then the final map of suitable areas for T. baccata plantation were produced based on Bolian and MCE models. According to the results, in Bolian method about 6218 ha of the total area of the study site (30554 ha) were estimated as suitable and semi suitable and 24336 ha were estimated as unsuitable for MCE model showed that about 2482 ha of the whole 30554 ha area of the study site is adequate for T. baccata plantation and 6181 ha is not adequate for T. baccata plantation. Regarding the results of the MCE and Bolian methods it has been concluded that for dynamic ecological parameters in delineation of suitable areas for T. baccata plantation the MCE weighting is more appropriate than Bolian. Using the results of this investigation it is possible to adequate areas for the presence of T. baccata and to execute a plan in order to facilitate the plantation of T. baccata in northern forests of Iran (watershed 88).
authors.affiliation: Department of Forestry, Science and Research Branch, Islamic Azad University, Guilan, Iran.
authors.forename: Anoshirvan
authors.initials: A
authors.lastname: Alami
authors.affiliation: Department of Agriculture, Rasht Branch, Islamic Azad University, Rasht, Iran.
authors.forename: Alireza
authors.initials: A
authors.lastname: Eslami
authors.affiliation: Department of Forestry, College of Natural Resources, Lahijan Branch, Islamic Azad University, University, Lahijtan, Iran.
authors.forename: Seyed A
authors.initials: SA
authors.lastname: Hashemi
mesh_terms: D000383:Agriculture / Q000379:methods*; D040362:Geographic Information Systems; D007492:Iran; D008962:Models, Theoretical; D020946:Taxus / Q000145:classification / Q000254:growth & development*