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Quantitative assessment of plant-arthropod interactions in forest canopies: A plot-based approach
M. Volf, P. Klimeš, GPA. Lamarre, CM. Redmond, CL. Seifert, T. Abe, J. Auga, K. Anderson-Teixeira, Y. Basset, S. Beckett, PT. Butterill, P. Drozd, E. Gonzalez-Akre, O. Kaman, N. Kamata, B. Laird-Hopkins, M. Libra, M. Manumbor, SE. Miller, K....
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem, Research Support, U.S. Gov't, Non-P.H.S.
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Directory of Open Access Journals
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od 2006-12-01
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od 2006-10-01
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od 2006-01-01
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od 2006-01-01
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od 2008-01-01
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od 2006-12-01
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od 2006-12-01
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od 2006-12-01
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od 2006
- MeSH
- členovci fyziologie MeSH
- interakce hostitele a parazita * MeSH
- larva fyziologie MeSH
- lesy MeSH
- rostliny parazitologie MeSH
- stromy parazitologie MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, U.S. Gov't, Non-P.H.S. MeSH
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.
Biology Centre of the Czech Academy of Sciences Ceske Budejovice Czech Republic
Conservation Ecology Center Smithsonian Conservation Biology Institute
Faculty of Science Chiba University Chiba Japan
Faculty of Science University of Ostrava Ostrava Czech Republic
ForestGEO Smithsonian Tropical Research Institute Panama City Panama
Front Royal VA United States of America
Graduate School of Agricultural and Life Sciences The University of Tokyo Furano Japan
National Museum of Natural History Smithsonian Institution Washington DC United States of America
New Guinea Binatang Research Center Madang Papua New Guinea
Tomakomai Experimental Forest Hokkaido University Tomakomai Japan
Citace poskytuje Crossref.org
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- $a 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.
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