Paper Information

Journal:   JOURNAL OF RANGELAND SCIENCE   2018 , Volume 8 , Number 4 #f00660; Page(s) 373 To 382.
 
Paper: 

Evaluation of Distance and Quadratic Indices for Determination of Plant Species Distribution Pattern in Khoosef Rangelands, Birjand, Iran

 
 
Author(s):  Yari Reza, Gholami Atefeh, Jafari Shalamzari Masoud*, Heshmati Gholamali
 
* University of Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth
 
Abstract: 
One of the major issues examined in the quantitative ecology is the spatial distribution pattern of plant species. Knowledge of the spatial distribution patterns is essential to measure the level of uniformity in the surrounding environment, plant reproduction, and distribution of the seedlings, plant behavioral patterns, coexistence, allelopathic relations, and competition. Therefore, the aim of the present research is to select suitable indicators to determine the spatial distribution of three plant species namely Seidlitzia rosmarinus, Cornulaca monacantha and Stipagrostis plumosa and to evaluate their accuracy in arid and semi-arid rangelands of Birjand. Sampling was taken in the key area of each site with four transects of 100 m using quadrates (with their size proportional to the vegetative form of the plant species) by a stratified random sampling technique in 2014-2015. At each point, the distance from the nearest neighbors, the closest species and species richness were recorded. S. plumosa and S. rosmarinus produced the largest and smallest values as 6. 6 and 0. 24 plant/m2, respectively. Our results suggested that S. rosmarinus, C. monacantha and S. plumosa follow regular and uniform distribution patterns. The results of the statistical analysis also showed the positive binomial distribution for these species, which further confirm our finding. In total, it has been found that quadratic indicators provide more accurate results regarding plant species distribution patterns as compared with the distance indicators.
 
Keyword(s): Richness,Diversity,Uniformity,Distribution
 
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