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Plant community analysis along environmental gradients in moist afromontane forest of Gerba Dima, South-western Ethiopia

BACKGROUND: This study was carried out in Gerba Dima Forest, South-Western Ethiopia, to determine the floristic composition, species diversity and community types along environmental gradients. Identifying and interpreting the structure of species assemblages is the main goal of plant community ecol...

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Autores principales: Dibaba, Abyot, Soromessa, Teshome, Warkineh, Bikila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819878/
https://www.ncbi.nlm.nih.gov/pubmed/35130842
http://dx.doi.org/10.1186/s12862-022-01964-4
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author Dibaba, Abyot
Soromessa, Teshome
Warkineh, Bikila
author_facet Dibaba, Abyot
Soromessa, Teshome
Warkineh, Bikila
author_sort Dibaba, Abyot
collection PubMed
description BACKGROUND: This study was carried out in Gerba Dima Forest, South-Western Ethiopia, to determine the floristic composition, species diversity and community types along environmental gradients. Identifying and interpreting the structure of species assemblages is the main goal of plant community ecology. Investigation of forest community composition and structure is very useful in understanding the status of tree population, regeneration, and diversity for conservation purposes. METHOD: Ninety sample plots having a size of 25 × 25 m (625 m(2)) were laid by employing stratified random sampling. Nested plots were used to sample plants of different sizes and different environmental variables. All woody plant species with Diameter at breast height (DBH) ≥ 2.5 cm and height ≥ 1.5 m were recorded in 25 m × 25 m plots. Hierarchical (agglomerative) cluster analysis was performed using the free statistical software R version 3.6.1 using package cluster to classify the vegetation into plant community types. Redundancy Analysis (RDA) ordination was used in describing the pattern of plant communities along an environmental gradient. RESULT: One hundred and eighty plant species belonging to 145 genera, 69 families and comprising of 15 endemic species were recorded. Of these, 52 species (28.9%) were trees, 6 species (3.33%) were Trees/shrubs, 31 species (17.22%) were shrubs, 76 species (42.22%) were herbs, and 15 species (8.33%) were Lianas. Rubiaceae, Acanthaceae and Asteraceae were the richest family each represented by 11 genera and 11 species (6.11%), 9 genera and 11 species (6.11%), 6 genera and 11 species (6.11%), respectively of total floristic composition. Cluster analysis resulted in five different plant communities and this result was supported by the ordination result. RDA result showed altitude was the main environmental variable in determining the plant communities. The ANOVA test indicated that the five community types differ significantly from each other with regard to Electrical Conductivity and Potassium. CONCLUSIONS: Description of floristic diversity of species in Gerba Dima forest revealed the presence of high species diversity and richness. The presence of endemic plant species in the study forest shows the potential of the area for biodiversity conservation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12862-022-01964-4.
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spelling pubmed-88198782022-02-08 Plant community analysis along environmental gradients in moist afromontane forest of Gerba Dima, South-western Ethiopia Dibaba, Abyot Soromessa, Teshome Warkineh, Bikila BMC Ecol Evol Research BACKGROUND: This study was carried out in Gerba Dima Forest, South-Western Ethiopia, to determine the floristic composition, species diversity and community types along environmental gradients. Identifying and interpreting the structure of species assemblages is the main goal of plant community ecology. Investigation of forest community composition and structure is very useful in understanding the status of tree population, regeneration, and diversity for conservation purposes. METHOD: Ninety sample plots having a size of 25 × 25 m (625 m(2)) were laid by employing stratified random sampling. Nested plots were used to sample plants of different sizes and different environmental variables. All woody plant species with Diameter at breast height (DBH) ≥ 2.5 cm and height ≥ 1.5 m were recorded in 25 m × 25 m plots. Hierarchical (agglomerative) cluster analysis was performed using the free statistical software R version 3.6.1 using package cluster to classify the vegetation into plant community types. Redundancy Analysis (RDA) ordination was used in describing the pattern of plant communities along an environmental gradient. RESULT: One hundred and eighty plant species belonging to 145 genera, 69 families and comprising of 15 endemic species were recorded. Of these, 52 species (28.9%) were trees, 6 species (3.33%) were Trees/shrubs, 31 species (17.22%) were shrubs, 76 species (42.22%) were herbs, and 15 species (8.33%) were Lianas. Rubiaceae, Acanthaceae and Asteraceae were the richest family each represented by 11 genera and 11 species (6.11%), 9 genera and 11 species (6.11%), 6 genera and 11 species (6.11%), respectively of total floristic composition. Cluster analysis resulted in five different plant communities and this result was supported by the ordination result. RDA result showed altitude was the main environmental variable in determining the plant communities. The ANOVA test indicated that the five community types differ significantly from each other with regard to Electrical Conductivity and Potassium. CONCLUSIONS: Description of floristic diversity of species in Gerba Dima forest revealed the presence of high species diversity and richness. The presence of endemic plant species in the study forest shows the potential of the area for biodiversity conservation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12862-022-01964-4. BioMed Central 2022-02-07 /pmc/articles/PMC8819878/ /pubmed/35130842 http://dx.doi.org/10.1186/s12862-022-01964-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dibaba, Abyot
Soromessa, Teshome
Warkineh, Bikila
Plant community analysis along environmental gradients in moist afromontane forest of Gerba Dima, South-western Ethiopia
title Plant community analysis along environmental gradients in moist afromontane forest of Gerba Dima, South-western Ethiopia
title_full Plant community analysis along environmental gradients in moist afromontane forest of Gerba Dima, South-western Ethiopia
title_fullStr Plant community analysis along environmental gradients in moist afromontane forest of Gerba Dima, South-western Ethiopia
title_full_unstemmed Plant community analysis along environmental gradients in moist afromontane forest of Gerba Dima, South-western Ethiopia
title_short Plant community analysis along environmental gradients in moist afromontane forest of Gerba Dima, South-western Ethiopia
title_sort plant community analysis along environmental gradients in moist afromontane forest of gerba dima, south-western ethiopia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819878/
https://www.ncbi.nlm.nih.gov/pubmed/35130842
http://dx.doi.org/10.1186/s12862-022-01964-4
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