Title of article
Comparison of Distance Indicators and Quadrate Indicators in Determining Dispersion Pattern of Fritillaria imperialis L. in Ilam
Author/Authors
Bidarnamani, Fatemeh Institute of Agricultural Research - University of Zabol , Shabanipoor, Mehdi Ph.D Student in Entomology - Islamic Azad University of Arak
Pages
11
From page
193
To page
203
Abstract
Crown imperial have been distributed in Zagros regions in Ilam
according to soil structure and organic matter. This plant has played an
important role in the beautification of the environment, tourist attraction, and
the supply of plant essential oils used in the production of medicines. The
current research was carried out to evaluate the spatial distribution pattern of
Fritillaria imperialis in Ilam (Manesht and Ghalarang regions) and to compare
distance and quadrate method in 2014. Sampling program was randomsystematic
just for transects with the length of 100 meters within the extent of
4300 hectares. Distance methods including t2, Hopkins, Holgate, Johnson and
Zimmer and Pielou; and quadrate methods including Taylor, Iwao, Morisita,
K and CV were used to determine the spatial distribution pattern of crown
imperial. Results showed that the quadrate method (Morisita and CV) and
distance method (Holgate and Peilou) evaluated the spatial distribution pattern
of crown imperial to be a random pattern. But, the results of quadrate methods
(Taylor, Iwao, and K) and distance methods (Hopkins, t2 and Johnson and
Zimmer) evaluated a clumped pattern for this species in the study area. It was
shown that the distance methods outperformed quadrate methods in accuracy.
Also, t2 and Hopkins indexes were the best distance methods to identify the
pattern. Iwao and K indexes were the best ones among quadrate methods.
Overall, it was revealed that Iwao, K, t2, and Hopkins had the highest and CV,
Morisita, Holgate and Pielou had the lowest accuracy.
Keywords
Clumped , Crown imperial , Hopkins , Morisita , Taylor
Journal title
Astroparticle Physics
Serial Year
2018
Record number
2432532
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