TAXOMETRICS CLASSIFICATION (HIERARCHICAL AND ORDINATION) OF AQUATIC AND SEMI-AQUATIC MOSSES: A PRELIMINARY MODEL TO BRYODIVERSITY MANAGEMENT

Bryodiversity is naturally serving the ecosystems sustainably. It serves the environments by preventing natural disaster (fl ooding), maintaining the quality of the water body and fi lter or treats the pollutants naturally. Effi cient bryodiversity management is needed for environmental cost cutti...

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Main Authors: M.J. LOO, T. A. DELVALLS CASILLAS, L. MARTIN DIAZ
Format: Article
Language:English
Published: SEAMEO, BIOTROP 2008-01-01
Series:Biotropia: The Southeast Asian Journal of Tropical Biology
Subjects:
Online Access:http://journal.biotrop.org/index.php/biotropia/article/view/73/51
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author M.J. LOO
T. A. DELVALLS CASILLAS
L. MARTIN DIAZ
author_facet M.J. LOO
T. A. DELVALLS CASILLAS
L. MARTIN DIAZ
author_sort M.J. LOO
collection DOAJ
description Bryodiversity is naturally serving the ecosystems sustainably. It serves the environments by preventing natural disaster (fl ooding), maintaining the quality of the water body and fi lter or treats the pollutants naturally. Effi cient bryodiversity management is needed for environmental cost cutting and have a cost-eff ective management strategy. To achieve this, cluster and principal component analyses (PCA) were manipulated to produce the linkage distance between the OTUs and identify the important groups of characters, respectively. In return, it becomes a guideline for bryofl ora and environmental managements. In this study, 23 OTUs and 156 characters were analyzed. h e output from the reliability and item analysis showed that the data set is highly reliable (Cronbach’s alpha = 0.9627). From the cluster analysis, it showed that 5 clustered groups (manageable units) could be derived from the produced phenogram. h is is based on the nearest neighbour amalgation rule and Euclidean distances. As for the principal component analysis, three factors were derived and explained 75.1064% of the variation with 56.0485%(PC1), 11.7346%(PC2) and 7.3233%(PC3), respectively. h e ordination showed that 5 manageable units were derived from PC1 and 3 manageable units for PC2 and PC3, respectively. In conclusion, conservation should precede any biodiversity management plans.
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spelling doaj.art-ffe5a2527fa14bb78d33acb2465e542d2022-12-21T23:25:39ZengSEAMEO, BIOTROPBiotropia: The Southeast Asian Journal of Tropical Biology0215-63341907-770X2008-01-01152135154TAXOMETRICS CLASSIFICATION (HIERARCHICAL AND ORDINATION) OF AQUATIC AND SEMI-AQUATIC MOSSES: A PRELIMINARY MODEL TO BRYODIVERSITY MANAGEMENTM.J. LOOT. A. DELVALLS CASILLASL. MARTIN DIAZBryodiversity is naturally serving the ecosystems sustainably. It serves the environments by preventing natural disaster (fl ooding), maintaining the quality of the water body and fi lter or treats the pollutants naturally. Effi cient bryodiversity management is needed for environmental cost cutting and have a cost-eff ective management strategy. To achieve this, cluster and principal component analyses (PCA) were manipulated to produce the linkage distance between the OTUs and identify the important groups of characters, respectively. In return, it becomes a guideline for bryofl ora and environmental managements. In this study, 23 OTUs and 156 characters were analyzed. h e output from the reliability and item analysis showed that the data set is highly reliable (Cronbach’s alpha = 0.9627). From the cluster analysis, it showed that 5 clustered groups (manageable units) could be derived from the produced phenogram. h is is based on the nearest neighbour amalgation rule and Euclidean distances. As for the principal component analysis, three factors were derived and explained 75.1064% of the variation with 56.0485%(PC1), 11.7346%(PC2) and 7.3233%(PC3), respectively. h e ordination showed that 5 manageable units were derived from PC1 and 3 manageable units for PC2 and PC3, respectively. In conclusion, conservation should precede any biodiversity management plans.http://journal.biotrop.org/index.php/biotropia/article/view/73/51aquatic mossessemi-aquatic mossescluster analysisprincipal component analysis (PCA)classifi cation
spellingShingle M.J. LOO
T. A. DELVALLS CASILLAS
L. MARTIN DIAZ
TAXOMETRICS CLASSIFICATION (HIERARCHICAL AND ORDINATION) OF AQUATIC AND SEMI-AQUATIC MOSSES: A PRELIMINARY MODEL TO BRYODIVERSITY MANAGEMENT
Biotropia: The Southeast Asian Journal of Tropical Biology
aquatic mosses
semi-aquatic mosses
cluster analysis
principal component analysis (PCA)
classifi cation
title TAXOMETRICS CLASSIFICATION (HIERARCHICAL AND ORDINATION) OF AQUATIC AND SEMI-AQUATIC MOSSES: A PRELIMINARY MODEL TO BRYODIVERSITY MANAGEMENT
title_full TAXOMETRICS CLASSIFICATION (HIERARCHICAL AND ORDINATION) OF AQUATIC AND SEMI-AQUATIC MOSSES: A PRELIMINARY MODEL TO BRYODIVERSITY MANAGEMENT
title_fullStr TAXOMETRICS CLASSIFICATION (HIERARCHICAL AND ORDINATION) OF AQUATIC AND SEMI-AQUATIC MOSSES: A PRELIMINARY MODEL TO BRYODIVERSITY MANAGEMENT
title_full_unstemmed TAXOMETRICS CLASSIFICATION (HIERARCHICAL AND ORDINATION) OF AQUATIC AND SEMI-AQUATIC MOSSES: A PRELIMINARY MODEL TO BRYODIVERSITY MANAGEMENT
title_short TAXOMETRICS CLASSIFICATION (HIERARCHICAL AND ORDINATION) OF AQUATIC AND SEMI-AQUATIC MOSSES: A PRELIMINARY MODEL TO BRYODIVERSITY MANAGEMENT
title_sort taxometrics classification hierarchical and ordination of aquatic and semi aquatic mosses a preliminary model to bryodiversity management
topic aquatic mosses
semi-aquatic mosses
cluster analysis
principal component analysis (PCA)
classifi cation
url http://journal.biotrop.org/index.php/biotropia/article/view/73/51
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