Application of Information Theory for an Entropic Gradient of Ecological Sites

The present study was carried out to compute the straightforward formulations of information entropy for ecological sites and to arrange their locations along the ordination axes using the values of those entropic measures. The data of plant communities taken from six sites found in the Dedegül Moun...

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Main Author: Kürşad Özkan
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/18/10/340
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author Kürşad Özkan
author_facet Kürşad Özkan
author_sort Kürşad Özkan
collection DOAJ
description The present study was carried out to compute the straightforward formulations of information entropy for ecological sites and to arrange their locations along the ordination axes using the values of those entropic measures. The data of plant communities taken from six sites found in the Dedegül Mountain sub-district and the Sultan Mountain sub-district located in the Beyşehir Watershed was examined in the present study. Firstly entropic measures (i.e., marginal entropy, joint entropy, conditional entropy and mutual entropy) were computed for each of the sites. Next principal component analysis (PCA) was applied to the data composed of the values of those entropic measures. As a result of the first axis of the applied PCA, the arrangement of the sites was found meaningful from an ecological point of view because the sites were located along with the first component axis of the PCA by illustrating the climatic differences between the sub-districts.
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spelling doaj.art-1f5c38097c9d4870b1dc0aba6eeef4e12022-12-22T03:18:51ZengMDPI AGEntropy1099-43002016-09-01181034010.3390/e18100340e18100340Application of Information Theory for an Entropic Gradient of Ecological SitesKürşad Özkan0Department of Soil and Forest Ecology, Faculty of Forestry, Süleyman Demirel University, Isparta 32260, TurkeyThe present study was carried out to compute the straightforward formulations of information entropy for ecological sites and to arrange their locations along the ordination axes using the values of those entropic measures. The data of plant communities taken from six sites found in the Dedegül Mountain sub-district and the Sultan Mountain sub-district located in the Beyşehir Watershed was examined in the present study. Firstly entropic measures (i.e., marginal entropy, joint entropy, conditional entropy and mutual entropy) were computed for each of the sites. Next principal component analysis (PCA) was applied to the data composed of the values of those entropic measures. As a result of the first axis of the applied PCA, the arrangement of the sites was found meaningful from an ecological point of view because the sites were located along with the first component axis of the PCA by illustrating the climatic differences between the sub-districts.http://www.mdpi.com/1099-4300/18/10/340mutual entropyconditional entropyjoint entropyinformation theorydiversity based entropy
spellingShingle Kürşad Özkan
Application of Information Theory for an Entropic Gradient of Ecological Sites
Entropy
mutual entropy
conditional entropy
joint entropy
information theory
diversity based entropy
title Application of Information Theory for an Entropic Gradient of Ecological Sites
title_full Application of Information Theory for an Entropic Gradient of Ecological Sites
title_fullStr Application of Information Theory for an Entropic Gradient of Ecological Sites
title_full_unstemmed Application of Information Theory for an Entropic Gradient of Ecological Sites
title_short Application of Information Theory for an Entropic Gradient of Ecological Sites
title_sort application of information theory for an entropic gradient of ecological sites
topic mutual entropy
conditional entropy
joint entropy
information theory
diversity based entropy
url http://www.mdpi.com/1099-4300/18/10/340
work_keys_str_mv AT kursadozkan applicationofinformationtheoryforanentropicgradientofecologicalsites