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Quantitative assessment of plant-arthropod interactions in forest canopies: A plot-based approach.

Authors :
Martin Volf
Petr Klimeš
Greg P A Lamarre
Conor M Redmond
Carlo L Seifert
Tomokazu Abe
John Auga
Kristina Anderson-Teixeira
Yves Basset
Saul Beckett
Philip T Butterill
Pavel Drozd
Erika Gonzalez-Akre
Ondřej Kaman
Naoto Kamata
Benita Laird-Hopkins
Martin Libra
Markus Manumbor
Scott E Miller
Kenneth Molem
Ondřej Mottl
Masashi Murakami
Tatsuro Nakaji
Nichola S Plowman
Petr Pyszko
Martin Šigut
Jan Šipoš
Robert Tropek
George D Weiblen
Vojtech Novotny
Source :
PLoS ONE, Vol 14, Iss 10, p e0222119 (2019)
Publication Year :
2019
Publisher :
Public Library of Science (PLoS), 2019.

Abstract

Research on canopy arthropods has progressed from species inventories to the study of their interactions and networks, enhancing our understanding of how hyper-diverse communities are maintained. Previous studies often focused on sampling individual tree species, individual trees or their parts. We argue that such selective sampling is not ideal when analyzing interaction network structure, and may lead to erroneous conclusions. We developed practical and reproducible sampling guidelines for the plot-based analysis of arthropod interaction networks in forest canopies. Our sampling protocol focused on insect herbivores (leaf-chewing insect larvae, miners and gallers) and non-flying invertebrate predators (spiders and ants). We quantitatively sampled the focal arthropods from felled trees, or from trees accessed by canopy cranes or cherry pickers in 53 0.1 ha forest plots in five biogeographic regions, comprising 6,280 trees in total. All three methods required a similar sampling effort and provided good foliage accessibility. Furthermore, we compared interaction networks derived from plot-based data to interaction networks derived from simulated non-plot-based data focusing either on common tree species or a representative selection of tree families. All types of non-plot-based data showed highly biased network structure towards higher connectance, higher web asymmetry, and higher nestedness temperature when compared with plot-based data. Furthermore, some types of non-plot-based data showed biased diversity of the associated herbivore species and specificity of their interactions. Plot-based sampling thus appears to be the most rigorous approach for reconstructing realistic, quantitative plant-arthropod interaction networks that are comparable across sites and regions. Studies of plant interactions have greatly benefited from a plot-based approach and we argue that studies of arthropod interactions would benefit in the same way. We conclude that plot-based studies on canopy arthropods would yield important insights into the processes of interaction network assembly and dynamics, which could be maximised via a coordinated network of plot-based study sites.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
14
Issue :
10
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.12f5d4a645c04725bf776ed03b08b0e9
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0222119