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

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dc.contributor.author Volf, Martin en
dc.contributor.author Klimeš, Petr en
dc.contributor.author Lamarre, Greg P. A. en
dc.contributor.author Redmond, Conor M. en
dc.contributor.author Seifert, Carlo L. en
dc.contributor.author Abe, Tomokazu en
dc.contributor.author Auga, John en
dc.contributor.author Anderson-Teixeira, Kristina J. en
dc.contributor.author Basset, Yves en
dc.contributor.author Beckett, Saul en
dc.contributor.author Butterill, Philip T. en
dc.contributor.author Drozd, Pavel en
dc.contributor.author González-Akre, Erika en
dc.contributor.author Kaman, Ondrej en
dc.contributor.author Kamata, Naoto en
dc.contributor.author Laird-Hopkins, Benita en
dc.contributor.author Libra, Martin en
dc.contributor.author Manumbor, Markus en
dc.contributor.author Miller, Scott E. en
dc.contributor.author Molem, Kenneth en
dc.contributor.author Mottl, Ondrej en
dc.contributor.author Murakami, Masashi en
dc.contributor.author Nakaji, Tatsuro en
dc.contributor.author Plowman, Nichola S. en
dc.contributor.author Pyszko, Petr en
dc.contributor.author Šigut, Martin en
dc.contributor.author Šipoš, Jan en
dc.contributor.author Tropek, Robert en
dc.contributor.author Weiblen, George D. en
dc.contributor.author Novotny, Vojtech en
dc.date.accessioned 2019-11-01T13:08:44Z
dc.date.available 2019-11-01T13:08:44Z
dc.date.issued 2019
dc.identifier.citation Volf, Martin, Klimeš, Petr, Lamarre, Greg P. A., Redmond, Conor M., Seifert, Carlo L., Abe, Tomokazu, Auga, John, Anderson-Teixeira, Kristina J., Basset, Yves, Beckett, Saul, Butterill, Philip T., Drozd, Pavel, González-Akre, Erika, Kaman, Ondřej, Kamata, Naoto, Laird-Hopkins, Benita, Libra, Martin, Manumbor, Markus, Miller, Scott E., Molem, Kenneth, Mottl, Ondřej, Murakami, Masashi, Nakaji, Tatsuro, Plowman, Nichola S., Pyszko, Petr et al. 2019. "<a href="https://repository.si.edu/handle/10088/99358">Quantitative assessment of plant-arthropod interactions in forest canopies: A plot-based approach</a>." <em>PloS One</em>. 14 (10):Article e0222119. <a href="https://doi.org/10.1371/journal.pone.0222119">https://doi.org/10.1371/journal.pone.0222119</a> en
dc.identifier.issn 1932-6203
dc.identifier.uri https://hdl.handle.net/10088/99358
dc.description.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. en
dc.relation.ispartof PloS One en
dc.title Quantitative assessment of plant-arthropod interactions in forest canopies: A plot-based approach en
dc.type Journal Article en
dc.identifier.srbnumber 153001
dc.identifier.doi 10.1371/journal.pone.0222119
rft.jtitle PloS One
rft.volume 14
rft.issue 10
rft.spage Article e0222119
dc.description.SIUnit NMNH en
dc.description.SIUnit STRI en
dc.description.SIUnit NH-Entomology en
dc.description.SIUnit NZP en
dc.citation.spage Article e0222119

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