Evidence map›Paper›PMID 32670313›Full record

ArticleFrontiers in plant science2020

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

Karola Maul, Yu-Mei Wei, Martin Nebel, Federico Luebert, Boon-Chuan Ho, Dietmar Quandt, Michael Kessler

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Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Karola MaulNees Institute for Biodiversity of Plants, University of Bonn, Bonn, Germany.
Yu-Mei WeiGuangxi Key Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, China.
Martin NebelNees Institute for Biodiversity of Plants, University of Bonn, Bonn, Germany.
Federico LuebertNees Institute for Biodiversity of Plants, University of Bonn, Bonn, Germany.
Boon-Chuan HoSingapore Botanic Gardens, National Parks Board, Singapore, Singapore.
Dietmar QuandtNees Institute for Biodiversity of Plants, University of Bonn, Bonn, Germany.
Michael KesslerInstitute of Systematic and Evolutionary Botany, Faculty of Mathematics and Natural Sciences, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

climatic predictorsepiphytic liverwortsnon-epiphytic liverwortsspecies richness distributiontropical montane forestUganda

Identifiers

PMID32670313
PMCPMC7327462

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.