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Different Predictors Shape the Diversity Patterns of Epiphytic and Non-epiphytic Liverworts in Montane Forests of Uganda

We studied the influence of regional and local variables on the liverwort diversity within natural forest vegetation of Uganda to contribute to our understanding of the mechanisms and processes determining species richness. To this end, we compared the species richness distribution patterns of epiph...

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Autores principales: Maul, Karola, Wei, Yu-Mei, Nebel, Martin, Luebert, Federico, Ho, Boon-Chuan, Quandt, Dietmar, Kessler, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327462/
https://www.ncbi.nlm.nih.gov/pubmed/32670313
http://dx.doi.org/10.3389/fpls.2020.00765
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author Maul, Karola
Wei, Yu-Mei
Nebel, Martin
Luebert, Federico
Ho, Boon-Chuan
Quandt, Dietmar
Kessler, Michael
author_facet Maul, Karola
Wei, Yu-Mei
Nebel, Martin
Luebert, Federico
Ho, Boon-Chuan
Quandt, Dietmar
Kessler, Michael
author_sort Maul, Karola
collection PubMed
description We studied the influence of regional and local variables on the liverwort diversity within natural forest vegetation of Uganda to contribute to our understanding of the mechanisms and processes determining species richness. To this end, we compared the species richness distribution patterns of epiphytic and non-epiphytic liverworts (Marchantiophytina) in 24 plots in the forests of four Ugandan national parks. We recorded a total of 119 species and subspecies from 18 families, including 16 new species records for the country. We used generalized linear models (GLMs) and the relative variable importance of regional and local climatic and environmental variables to assess their respective impact on the species diversity. We found that the richness patterns of total and epiphytic richness were largely driven by regional climatic factors related to temperature and water-availability. In contrast, species diversity of non-epiphytic and rare species was additionally strongly determined by local-scale microhabitat factors such as height of forest canopy and slope inclination, reflecting the availability of suitable microhabitats. We conclude that macroclimatic variables perform well in predicting epiphytic liverwort richness, whereas the adequate prediction of non-epiphytic richness requires site-specific variables. Also, we propose that richness of epiphytic liverworts will be impacted more directly by climate change than richness of non-epiphytic and rare species.
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spelling pubmed-73274622020-07-14 Different Predictors Shape the Diversity Patterns of Epiphytic and Non-epiphytic Liverworts in Montane Forests of Uganda Maul, Karola Wei, Yu-Mei Nebel, Martin Luebert, Federico Ho, Boon-Chuan Quandt, Dietmar Kessler, Michael Front Plant Sci Plant Science We studied the influence of regional and local variables on the liverwort diversity within natural forest vegetation of Uganda to contribute to our understanding of the mechanisms and processes determining species richness. To this end, we compared the species richness distribution patterns of epiphytic and non-epiphytic liverworts (Marchantiophytina) in 24 plots in the forests of four Ugandan national parks. We recorded a total of 119 species and subspecies from 18 families, including 16 new species records for the country. We used generalized linear models (GLMs) and the relative variable importance of regional and local climatic and environmental variables to assess their respective impact on the species diversity. We found that the richness patterns of total and epiphytic richness were largely driven by regional climatic factors related to temperature and water-availability. In contrast, species diversity of non-epiphytic and rare species was additionally strongly determined by local-scale microhabitat factors such as height of forest canopy and slope inclination, reflecting the availability of suitable microhabitats. We conclude that macroclimatic variables perform well in predicting epiphytic liverwort richness, whereas the adequate prediction of non-epiphytic richness requires site-specific variables. Also, we propose that richness of epiphytic liverworts will be impacted more directly by climate change than richness of non-epiphytic and rare species. Frontiers Media S.A. 2020-06-24 /pmc/articles/PMC7327462/ /pubmed/32670313 http://dx.doi.org/10.3389/fpls.2020.00765 Text en Copyright © 2020 Maul, Wei, Nebel, Luebert, Ho, Quandt and Kessler. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Maul, Karola
Wei, Yu-Mei
Nebel, Martin
Luebert, Federico
Ho, Boon-Chuan
Quandt, Dietmar
Kessler, Michael
Different Predictors Shape the Diversity Patterns of Epiphytic and Non-epiphytic Liverworts in Montane Forests of Uganda
title Different Predictors Shape the Diversity Patterns of Epiphytic and Non-epiphytic Liverworts in Montane Forests of Uganda
title_full Different Predictors Shape the Diversity Patterns of Epiphytic and Non-epiphytic Liverworts in Montane Forests of Uganda
title_fullStr Different Predictors Shape the Diversity Patterns of Epiphytic and Non-epiphytic Liverworts in Montane Forests of Uganda
title_full_unstemmed Different Predictors Shape the Diversity Patterns of Epiphytic and Non-epiphytic Liverworts in Montane Forests of Uganda
title_short Different Predictors Shape the Diversity Patterns of Epiphytic and Non-epiphytic Liverworts in Montane Forests of Uganda
title_sort different predictors shape the diversity patterns of epiphytic and non-epiphytic liverworts in montane forests of uganda
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327462/
https://www.ncbi.nlm.nih.gov/pubmed/32670313
http://dx.doi.org/10.3389/fpls.2020.00765
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