Linking biodiversity to mutualistic networks – woody species and ectomycorrhizal fungi

Mutualistic interactions are currently mapped by bipartite networkswith particular architecture and properties. The mycorrhizae connectthe trees and permit them to share resources, therefore relaxing thecompetition. Ectomycorrhizal macrofungi associated with woody species(Quercus robur, Q. cerris, Q...

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Main Author: Ecaterina Fodor
Format: Article
Language:English
Published: ‘Marin Drăcea’ National Research-Development Institute in Forestry 2013-05-01
Series:Annals of Forest Research
Subjects:
Online Access:http://www.editurasilvica.ro/afr/56/1/fodor.pdf
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spelling doaj-67a6f78e0ccd4db3ad275061893951c32020-11-24T20:42:44Zeng‘Marin Drăcea’ National Research-Development Institute in ForestryAnnals of Forest Research1844-81352065-24452013-05-015615378Linking biodiversity to mutualistic networks – woody species and ectomycorrhizal fungiEcaterina FodorMutualistic interactions are currently mapped by bipartite networkswith particular architecture and properties. The mycorrhizae connectthe trees and permit them to share resources, therefore relaxing thecompetition. Ectomycorrhizal macrofungi associated with woody species(Quercus robur, Q. cerris, Q. petraea, Tilia tomentosa, Carpinus betulus, Corylus avellana, and Q. pubescens) growing in a temperate, broadleaved mixed forest, from a hilly area near the city of Cluj–Napoca, central Romania were included in a bipartite mutualistic network. Community structure was investigated using several network metrics, modularity and nestedness algorithms in conjunction with C-score index cluster analysis and nonmetric multidimensional scaling (the Kulczynski similarity was index used as most appropriate metric selected by minimal stress criterion). The results indicate that the network presents high asymmetry (hosts are outnumbered by mycobionts at a great extent), high connectance, low modularity, andhigh nestedness, competition playing a secondary role in community assemblage (non significant difference between simulated and observed Cscore).The nestedness pattern is non-random and is comparable to previouslypublished results for other similar interactions containing plants. Inthe proposed network, woody species function exclusively as generalists. Modularity analysis is a finer tool were identifying species roles than centrality measures, however, the two types of algorithms permit the separation of species according to their roles as for example connectors (generalist species) and ultraperipheral species (specialists). Supergeneralist woody species function as hubs for the diverse ectomycorrhizal community while supergeneralistectomycorrhizal fungi glue the hubs into a coherent aggregate.http://www.editurasilvica.ro/afr/56/1/fodor.pdftemperate broadleaved mixed forestectomycorrhizal fungimutualistic bipartite networksnestednessmodularityconnectanceC-score cluster analysisnon metric multidimensional scaling
collection DOAJ
language English
format Article
sources DOAJ
author Ecaterina Fodor
spellingShingle Ecaterina Fodor
Linking biodiversity to mutualistic networks – woody species and ectomycorrhizal fungi
Annals of Forest Research
temperate broadleaved mixed forest
ectomycorrhizal fungi
mutualistic bipartite networks
nestedness
modularity
connectance
C-score cluster analysis
non metric multidimensional scaling
author_facet Ecaterina Fodor
author_sort Ecaterina Fodor
title Linking biodiversity to mutualistic networks – woody species and ectomycorrhizal fungi
title_short Linking biodiversity to mutualistic networks – woody species and ectomycorrhizal fungi
title_full Linking biodiversity to mutualistic networks – woody species and ectomycorrhizal fungi
title_fullStr Linking biodiversity to mutualistic networks – woody species and ectomycorrhizal fungi
title_full_unstemmed Linking biodiversity to mutualistic networks – woody species and ectomycorrhizal fungi
title_sort linking biodiversity to mutualistic networks – woody species and ectomycorrhizal fungi
publisher ‘Marin Drăcea’ National Research-Development Institute in Forestry
series Annals of Forest Research
issn 1844-8135
2065-2445
publishDate 2013-05-01
description Mutualistic interactions are currently mapped by bipartite networkswith particular architecture and properties. The mycorrhizae connectthe trees and permit them to share resources, therefore relaxing thecompetition. Ectomycorrhizal macrofungi associated with woody species(Quercus robur, Q. cerris, Q. petraea, Tilia tomentosa, Carpinus betulus, Corylus avellana, and Q. pubescens) growing in a temperate, broadleaved mixed forest, from a hilly area near the city of Cluj–Napoca, central Romania were included in a bipartite mutualistic network. Community structure was investigated using several network metrics, modularity and nestedness algorithms in conjunction with C-score index cluster analysis and nonmetric multidimensional scaling (the Kulczynski similarity was index used as most appropriate metric selected by minimal stress criterion). The results indicate that the network presents high asymmetry (hosts are outnumbered by mycobionts at a great extent), high connectance, low modularity, andhigh nestedness, competition playing a secondary role in community assemblage (non significant difference between simulated and observed Cscore).The nestedness pattern is non-random and is comparable to previouslypublished results for other similar interactions containing plants. Inthe proposed network, woody species function exclusively as generalists. Modularity analysis is a finer tool were identifying species roles than centrality measures, however, the two types of algorithms permit the separation of species according to their roles as for example connectors (generalist species) and ultraperipheral species (specialists). Supergeneralist woody species function as hubs for the diverse ectomycorrhizal community while supergeneralistectomycorrhizal fungi glue the hubs into a coherent aggregate.
topic temperate broadleaved mixed forest
ectomycorrhizal fungi
mutualistic bipartite networks
nestedness
modularity
connectance
C-score cluster analysis
non metric multidimensional scaling
url http://www.editurasilvica.ro/afr/56/1/fodor.pdf
work_keys_str_mv AT ecaterinafodor linkingbiodiversitytomutualisticnetworkswoodyspeciesandectomycorrhizalfungi
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