Volume 14, Issue 53 (fall 2010)                   jwss 2010, 14(53): 75-86 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

A. H. Gharehsheikhloo, M. R. Vahabi, H. R. Karimzadeh. Classification of Range Habitat and Determintion of Plant Communities in Karkas Mountainsides, Central Iran . jwss 2010; 14 (53) :75-86
URL: http://jstnar.iut.ac.ir/article-1-1334-en.html
, a_gharehsheikhloo@na.iut.ac.ir
Abstract:   (35656 Views)
In order to classify and determine the plant communities in Karkas mountainsides, central Iran, quantitative data of 46 environmental characteristics including climate (12 characteristics), soil (26 characteristics), geology and physiology (8 characteristics), were analyzed based on partial Euclidean distance indicator using minimum variation method. The results showed the clustered separation of studied sites at 68% similarity level with three different growth places. Of these 46 factors, 24 factors (8 climate characteristics and 16 soil characteristics) were effective in this classification at 95% certainty level. Only 24 of these 46 factors were effective in this classification at 95% certainty level. These 24 effective factors were divided into 8 climate and 16 soil characteristics. In another classification, combinational percentage index of 17 plant species were investigated as an effective factor in separating growth place and determining the plant communities. Result of cluster classification indicated that the studied sites cold be classified to 3 habitats.
Full-Text [PDF 222 kb]   (5459 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2010/12/27 | Published: 2010/10/15

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb