Literature DB >> 28469020

Trophic level, successional age and trait matching determine specialization of deadwood-based interaction networks of saproxylic beetles.

Beate Wende1, Martin M Gossner2,3, Ingo Grass4, Tobias Arnstadt5, Martin Hofrichter5, Andreas Floren6, Karl Eduard Linsenmair6, Wolfgang W Weisser2, Ingolf Steffan-Dewenter6.   

Abstract

The specialization of ecological networks provides important insights into possible consequences of biodiversity loss for ecosystem functioning. However, mostly mutualistic and antagonistic interactions of living organisms have been studied, whereas detritivore networks and their successional changes are largely unexplored. We studied the interactions of saproxylic (deadwood-dependent) beetles with their dead host trees. In a large-scale experiment, 764 logs of 13 tree species were exposed to analyse network structure of three trophic groups of saproxylic beetles over 3 successional years. We found remarkably high specialization of deadwood-feeding xylophages and lower specialization of fungivorous and predatory species. During deadwood succession, community composition, network specialization and network robustness changed differently for the functional groups. To reveal potential drivers of network specialization, we linked species' functional traits to their network roles, and tested for trait matching between plant (i.e. chemical compounds) and beetle (i.e. body size) traits. We found that both plant and animal traits are major drivers of species specialization, and that trait matching can be more important in explaining interactions than neutral processes reflecting species abundance distributions. High network specialization in the early successional stage and decreasing network robustness during succession indicate vulnerability of detritivore networks to reduced tree species diversity and beetle extinctions, with unknown consequences for wood decomposition and nutrient cycling.
© 2017 The Author(s).

Keywords:  chemical compounds; decomposition; ecosystem functions; extinction risk; resource quality; trophic groups

Mesh:

Year:  2017        PMID: 28469020      PMCID: PMC5443943          DOI: 10.1098/rspb.2017.0198

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  13 in total

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Journal:  Annu Rev Entomol       Date:  1997       Impact factor: 19.686

2.  Ecology. Structure and dynamics of ecological networks.

Authors:  Jordi Bascompte
Journal:  Science       Date:  2010-08-13       Impact factor: 47.728

Review 3.  Ecological networks and their fragility.

Authors:  José M Montoya; Stuart L Pimm; Ricard V Solé
Journal:  Nature       Date:  2006-07-20       Impact factor: 49.962

4.  Habitat modification alters the structure of tropical host-parasitoid food webs.

Authors:  Jason M Tylianakis; Teja Tscharntke; Owen T Lewis
Journal:  Nature       Date:  2007-01-11       Impact factor: 49.962

5.  Specialization, constraints, and conflicting interests in mutualistic networks.

Authors:  Nico Blüthgen; Florian Menzel; Thomas Hovestadt; Brigitte Fiala; Nils Blüthgen
Journal:  Curr Biol       Date:  2007-02-01       Impact factor: 10.834

Review 6.  Uniting pattern and process in plant-animal mutualistic networks: a review.

Authors:  Diego P Vázquez; Nico Blüthgen; Luciano Cagnolo; Natacha P Chacoff
Journal:  Ann Bot       Date:  2009-03-21       Impact factor: 4.357

Review 7.  Anatomical and chemical defenses of conifer bark against bark beetles and other pests.

Authors:  Vincent R Franceschi; Paal Krokene; Erik Christiansen; Trygve Krekling
Journal:  New Phytol       Date:  2005-08       Impact factor: 10.151

8.  Breaking down complex Saproxylic communities: understanding sub-networks structure and implications to network robustness.

Authors:  Javier Quinto; Ma Ángeles Marcos-García; Cecilia Díaz-Castelazo; Víctor Rico-Gray; Hervé Brustel; Eduardo Galante; Estefanía Micó
Journal:  PLoS One       Date:  2012-09-28       Impact factor: 3.240

9.  Long-term priority effects among insects and fungi colonizing decaying wood.

Authors:  Jan Weslien; Line B Djupström; Martin Schroeder; Olof Widenfalk
Journal:  J Anim Ecol       Date:  2011-05-13       Impact factor: 5.091

10.  Measuring specialization in species interaction networks.

Authors:  Nico Blüthgen; Florian Menzel; Nils Blüthgen
Journal:  BMC Ecol       Date:  2006-08-14       Impact factor: 2.964

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  4 in total

1.  Diversity and deadwood-based interaction networks of saproxylic beetles in remnants of riparian cloud forest.

Authors:  Alfredo Ramírez-Hernández; Ana Paola Martínez-Falcón; Estefanía Micó; Sandra Almendarez; Pedro Reyes-Castillo; Federico Escobar
Journal:  PLoS One       Date:  2019-04-12       Impact factor: 3.240

2.  Amplicon Sequencing-Based Bipartite Network Analysis Confirms a High Degree of Specialization and Modularity for Fungi and Prokaryotes in Deadwood.

Authors:  Julia Moll; Anna Heintz-Buschart; Claus Bässler; Martin Hofrichter; Harald Kellner; François Buscot; Björn Hoppe
Journal:  mSphere       Date:  2021-01-13       Impact factor: 4.389

3.  The patterns of co-occurrence variation are explained by the low dependence of bark beetles (Coleoptera: Scolytinae and Platypodinae) on hosts along altitude gradients.

Authors:  Fang Luo; Ling-Zeng Meng; Jian Wang; Yan-Hong Liu
Journal:  Front Zool       Date:  2022-03-04       Impact factor: 3.172

4.  Spatio-temporal variation of Cerambycidae-host tree interaction networks.

Authors:  Michelle Ramos-Robles; Orthon Ricardo Vargas-Cardoso; Angélica María Corona-López; Alejandro Flores-Palacios; Víctor Hugo Toledo-Hernández
Journal:  PLoS One       Date:  2020-02-10       Impact factor: 3.240

  4 in total

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