Quantitative assessment of plant-artropod interactions in forest canopies: A plot-based approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F19%3A00510013" target="_blank" >RIV/60077344:_____/19:00510013 - isvavai.cz</a>
Alternative codes found
RIV/67985939:_____/19:00510013
Result on the web
<a href="https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0222119&type=printable" target="_blank" >https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0222119&type=printable</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0222119" target="_blank" >10.1371/journal.pone.0222119</a>
Alternative languages
Result language
angličtina
Original language name
Quantitative assessment of plant-artropod interactions in forest canopies: A plot-based approach
Original language description
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. We quantitatively sampled 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. We compared interaction networks derived from plot-based data to interaction networks derived from simulated non-plot-based data. All types of non-plot-based data showed highly biased network structure. 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. 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLoS ONE
ISSN
1932-6203
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
e0222119
UT code for WoS article
000515074100001
EID of the result in the Scopus database
2-s2.0-85074060940