The efficiency of distance- and density-based indices in estimating the spatial pattern of trees in forests (Case study: Wild Pistachio Research Forest, Fars province, Iran)

It is so important to know about biological and ecological characteristics of trees of a stand, in forest management. The first step to achieve this knowledge is to recognize the spatial pattern of trees. So it is necessary to apply suitable methods to have a reliable and quick estimation of the spa...

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Main Authors: Yousof Erfanifard, Fatemeh Mahdian, Rashid Fallah Shamsi, Kazem Bordbar
Format: Article
Language:fas
Published: Research Institute of Forests and Rangelands of Iran 2012-09-01
Series:تحقیقات جنگل و صنوبر ایران
Subjects:
Online Access:http://ijfpr.areeo.ac.ir/article_107445_3bb0bcde751c662fcbac12236e74b7b3.pdf
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author Yousof Erfanifard
Fatemeh Mahdian
Rashid Fallah Shamsi
Kazem Bordbar
author_facet Yousof Erfanifard
Fatemeh Mahdian
Rashid Fallah Shamsi
Kazem Bordbar
author_sort Yousof Erfanifard
collection DOAJ
description It is so important to know about biological and ecological characteristics of trees of a stand, in forest management. The first step to achieve this knowledge is to recognize the spatial pattern of trees. So it is necessary to apply suitable methods to have a reliable and quick estimation of the spatial distribution of trees. This research was aimed to compare the important and mostly applied distance- and density-based indices, utilized to estimate the spatial pattern of trees. For this purpose, a pure wild pistachio stand was full-callipered in Fars Wild Pistachio Research Forest, Iran. The true spatial pattern of the trees was determined by nearest neighbor method. The efficiency of each index was then evaluated by estimating the spatial distribution of the trees, utilizing the indices. The true spatial pattern of the wild pistachio trees in the studied stand was clumped. The results showed that only the two density-based indices of “dispersion” and “heterogeneity factor” could not detect the clumped pattern of wild pistachio trees among the investigated indices. The two distance-based indices of “Eberhardt” and “Hines” could estimate the clumped pattern of the wild pistachio trees among the applied indices as well. In general, the density-based indices performed much better than the distance-based indices in this research and this conclusion should be considered in the future studies on pure wild pistachio stands
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spelling doaj.art-6ff876e6f5f34bd4a0f6e6710f59c0922022-12-21T17:32:20ZfasResearch Institute of Forests and Rangelands of Iranتحقیقات جنگل و صنوبر ایران1735-08832383-11462012-09-0120339237910.22092/ijfpr.2012.107445107445The efficiency of distance- and density-based indices in estimating the spatial pattern of trees in forests (Case study: Wild Pistachio Research Forest, Fars province, Iran)Yousof Erfanifard0Fatemeh Mahdian1Rashid Fallah Shamsi2Kazem Bordbar3Assistant Prof., Faculty of Agriculture, Shiraz University.Sc. student, Dept. of Desert Management, International Unit, Shiraz UniversityAssistant Prof., Faculty of Agriculture, Shiraz UniversityAssistant Prof., General Office of Natural Resources and Watershed Management of Fars Province, ShirazIt is so important to know about biological and ecological characteristics of trees of a stand, in forest management. The first step to achieve this knowledge is to recognize the spatial pattern of trees. So it is necessary to apply suitable methods to have a reliable and quick estimation of the spatial distribution of trees. This research was aimed to compare the important and mostly applied distance- and density-based indices, utilized to estimate the spatial pattern of trees. For this purpose, a pure wild pistachio stand was full-callipered in Fars Wild Pistachio Research Forest, Iran. The true spatial pattern of the trees was determined by nearest neighbor method. The efficiency of each index was then evaluated by estimating the spatial distribution of the trees, utilizing the indices. The true spatial pattern of the wild pistachio trees in the studied stand was clumped. The results showed that only the two density-based indices of “dispersion” and “heterogeneity factor” could not detect the clumped pattern of wild pistachio trees among the investigated indices. The two distance-based indices of “Eberhardt” and “Hines” could estimate the clumped pattern of the wild pistachio trees among the applied indices as well. In general, the density-based indices performed much better than the distance-based indices in this research and this conclusion should be considered in the future studies on pure wild pistachio standshttp://ijfpr.areeo.ac.ir/article_107445_3bb0bcde751c662fcbac12236e74b7b3.pdfSpatial patternwild pistachiodensity-based indicesdistance-based indices
spellingShingle Yousof Erfanifard
Fatemeh Mahdian
Rashid Fallah Shamsi
Kazem Bordbar
The efficiency of distance- and density-based indices in estimating the spatial pattern of trees in forests (Case study: Wild Pistachio Research Forest, Fars province, Iran)
تحقیقات جنگل و صنوبر ایران
Spatial pattern
wild pistachio
density-based indices
distance-based indices
title The efficiency of distance- and density-based indices in estimating the spatial pattern of trees in forests (Case study: Wild Pistachio Research Forest, Fars province, Iran)
title_full The efficiency of distance- and density-based indices in estimating the spatial pattern of trees in forests (Case study: Wild Pistachio Research Forest, Fars province, Iran)
title_fullStr The efficiency of distance- and density-based indices in estimating the spatial pattern of trees in forests (Case study: Wild Pistachio Research Forest, Fars province, Iran)
title_full_unstemmed The efficiency of distance- and density-based indices in estimating the spatial pattern of trees in forests (Case study: Wild Pistachio Research Forest, Fars province, Iran)
title_short The efficiency of distance- and density-based indices in estimating the spatial pattern of trees in forests (Case study: Wild Pistachio Research Forest, Fars province, Iran)
title_sort efficiency of distance and density based indices in estimating the spatial pattern of trees in forests case study wild pistachio research forest fars province iran
topic Spatial pattern
wild pistachio
density-based indices
distance-based indices
url http://ijfpr.areeo.ac.ir/article_107445_3bb0bcde751c662fcbac12236e74b7b3.pdf
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