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Naghi Shabanian

Naghi Shabanian

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 56079428000
Faculty: Faculty of Natural Resources
Address: Dept. of Forestry, Faculty of Natural Resources, University of Kurdistan, Sanandaj, IRAN, P.O. Box 416, Postal Code 66177-15175
Phone: 08733620551

Research

Title
Study of forest destruction by used the diversity index in the Northern Zagros Forest (Case study: Oak forest)
Type
JournalPaper
Keywords
Azarbaijanegharbi province Distance from village Shannon index Tree diversity Zagros
Year
2013
Journal International Journal of Biological & Medical Research
DOI
Researchers Mazyar Haidari ، Mozhgan Bazyar ، Sayed Anvar Hossaini ، Reza Hossien Heidari ، Naghi Shabanian

Abstract

Species diversity is one of the most important indices was used to evaluate the sustainability of forest communities. Aim of this research was study of forest destruction by used the diversity index in the Northern Zagros Forest and four village in Sardasht and Piranshahr region, Western Azarbaijan province, northwest of Iran was selected. For inventory in distance of 100 meter, 121 square sample plots (400m2) 20×20m were selected. Numbers of tree species were recorded. To analyses of biodiversity were applied heterogeneity Indicators of Shannon Wiener (H ׳) and Simpson (1-D) as well as evenness by using Margaleff (R1) indices. For statistical analysis, SPSS and Ecological Methodological software and ANOVA test were used. Results showed that the presence of 12 tree species in the study area and Rosacae family have higher number of species. The results this study showed that the Shannon (H) index had maximum quantity between all indicators. Results of statistical analysis in the study area showed 1000 to 1200 meter classes have maximum tree diversity. Anova test showed the differences between means diversity indexes in the distance classes from village were statistically significant. Duncan test showed that 1200 and 800 m classes have maximum diversity indexes in the study area. In the base of this study suggested the conservation forest planning focused on the nearest of village in the less 1000 meter distance from village.