Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   IRANIAN JOURNAL OF RANGE AND DESERT RESEARCH   FALL 2006 , Volume 13 , Number 3 (24); Page(s) 201 To 211.
 
Paper: 

RELATIONSHIPS BETWEEN THE MOST IMPORTANT ECOLOGICAL FACTORS AND RANGELAND VEGETATIVE USING MULTIVARIATE DATA ANALYSIS METHODS (CASE STUDY :SOUTH OF MARKAZI PROVINCE)

 
 
Author(s):  MIR DAVOUDI H.R.*, ZAHEDI H.A., SHOKOUHI M., TORKAN J.
 
* ACADEMIC MEMBER OF AGRICULTURE AND NATURAL RESOURCES RESEARCH CENTER OF MARKAZI PROVINCE, ARAK, IRAN
 
Abstract: 

The initial step of each phenomenon is complementary recognizing and understanding of its relationship with other effecting and affecting phenomena. Regarding range1and vegetation as the first chain of nutrition in rangeland's ecosystems, recognition of its homogeneous areas and vegetation type classification seems necessary. The present study was carried out in order to determination the most effectiveness ecological factors on vegetation types using Multivariate data analyzing. For that vegetation type was determine of type using GPS together with field survey and drawing map of the areas on the 1/50000 scale. Some data layers for each of vegetation type including density and cover percentage, climate, the mean elevation classes, mean annual rainfall, the mean slop, mean annual temperature, land types and Geographical aspect of the areas were collected and analyzed using Statistica program package and the method of factor analysis. The results of factor analysis shows that between applied variable, three main variables including climate, land types, and Geographic aspect with Eigenvalues of 82.8 are the most effectiveness ecological factors on vegetation types. Using cluster analysis range1ands classified in to 22 groups of Markazi province. the groups were confirm by Discriminate Analysis method.

 
Keyword(s): FACTOR ANALYSIS, CLUSTER ANALYSIS, DISCRIMINATE ANALYSIS, VEGETATION TYPE, ECOLOGICAL FACTORS, HOMOGENEOUS AREAS, MARKAZI PROVINCE
 
References: 
  • ندارد
 
  Persian Abstract Yearly Visit 79
 
Latest on Blog
Enter SID Blog