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

English version

Autoři: Martin Volf ^aff001; Petr Klimeš ^aff001; Greg P. A. Lamarre ^aff001; Conor M. Redmond ^aff001; Carlo L. Seifert ^aff001; Tomokazu Abe ^aff004; John Auga ^aff005; Kristina Anderson-Teixeira ^aff006; Yves Basset ^aff001; Saul Beckett ^aff007; Philip T. Butterill ^aff001; Pavel Drozd ^aff009; Erika Gonzalez-Akre ^aff006; Ondřej Kaman ^aff001; Naoto Kamata ^aff010; Benita Laird-Hopkins ^aff001; Martin Libra ^aff001; Markus Manumbor ^aff005; Scott E. Miller ^aff012; Kenneth Molem ^aff005; Ondřej Mottl ^aff001; Masashi Murakami ^aff004; Tatsuro Nakaji ^aff013; Nichola S. Plowman ^aff001; Petr Pyszko ^aff009; Martin Šigut ^aff009; Jan Šipoš ^aff014; Robert Tropek ^aff001; George D. Weiblen ^aff017; Vojtech Novotny ^aff001
Působiště autorů: Biology Centre of the Czech Academy of Sciences, Ceske Budejovice, Czech Republic ^aff001; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany ^aff002; Faculty of Science, University of South Bohemia, Ceske Budejovice, Czech Republic ^aff003; Faculty of Science, Chiba University, Chiba, Japan ^aff004; New Guinea Binatang Research Center, Madang, Papua New Guinea ^aff005; Conservation Ecology Center, Smithsonian Conservation Biology Institute; Front Royal, VA, United States of America ^aff006; ForestGEO, Smithsonian Tropical Research Institute, Panama City, Panama ^aff007; Maestria de Entomologia, Universidad de Panama, Panama City, Panama ^aff008; Faculty of Science, University of Ostrava, Ostrava, Czech Republic ^aff009; Graduate School of Agricultural and Life Sciences, The University of Tokyo, Furano, Japan ^aff010; School of Biological Sciences, University of Bristol, Bristol, United Kingdom ^aff011; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America ^aff012; Tomakomai Experimental Forest, Hokkaido University, Tomakomai, Japan ^aff013; Institute of Botany, Czech Academy of Sciences, Brno, Czech Republic ^aff014; Department of Zoology, Fisheries, Hydrobiology and Apiculture, Mendel University in Brno, Brno, Czech Republic ^aff015; Department of Ecology, Faculty of Science, Charles University, Prague, Czech Republic ^aff016; Bell Museum and Department of Plant & Microbial Biology, University of Minnesota, Saint Paul, MN, United States of America ^aff017
Vyšlo v časopise: PLoS ONE 14(10)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0222119

Souhrn

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.

Klíčová slova:

Arthropoda – Leaves – Forests – Trees – Cherries – Ants – Interaction networks – Herbivory

Zdroje

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

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