Paper · 2020 · Ecological Entomology

Do bipartite binary antagonistic and mutualistic networks have different responses to the taxonomic resolution of nodes?

Bárbara Nobrega Rodrigues; Danilo Boscolo

3
claims
6
verbatim quotes
12
citations
3
research areas
—
Not open access

Abstract

1. Bipartite network analyses are increasingly being used to better understand mutualistic and antagonistic plant–insect interactions at the community level. As a result of taxonomic limitations, it is usually very difficult to identify all nodes of a network down to the species level and many studies leave some specimens identified as lower resolution taxa. Accordingly, we do not know how much a lower resolution taxonomic representation changes the network structure compared with a representation with all nodes at species level. 2. The present study aimed to test whether insect–plant networks built using different combinations of taxonomic levels can still preserve the same basic structure of networks built only with species. 3. In total, 73 bipartite published interaction networks (mutualistic and antagonistic) were selected, which were turned into binary networks and reconstructed using the nodes classified as species, genus, family or order (representing different levels of classification difficulty). The network structures were compared using their binary representations mainly using connectance, NODF (Nestedness metric based on Overlap and Decreasing Fill) and modularity. 4. The mutualistic network structure was strongly linearly related to the original network structures if all nodes were grouped up to genus level. In antagonistic networks, the structure was related to the original network only if nodes were only grouped at the species level. 5. The findings of the present study are especially helpful for comparative network studies, such as those assessing the effects of environmental gradients. For mutualistic networks, Citizen Science programmes can provide useful ecological indicators, even with its taxonomic limitations.

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Claims 3

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Mutualistic plant–insect network structure remained strongly related to original networks when nodes were grouped to genus.

Taxon
plantt0
Outcome
mutualistic network structuree0
Qualifier
grouped up to genus levele0
Comparator
original network structurese0

Verbatim

e0

“The mutualistic network structure was strongly linearly related to the original network structures if all nodes were grouped up to genus level.”

✓ located verbatim in the source · abstract, characters 1200–1343 · show in text ↑
t0

“antagonistic plant–insect interactions”

✓ located verbatim in the source · abstract, characters 95–133 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Antagonistic network structure was related to original networks only at species level.

Taxon
plantt0
Outcome
structuree0
Qualifier
species levele0
Comparator
original networke0

Verbatim

e0

“In antagonistic networks, the structure was related to the original network only if nodes were only grouped at the species level.”

✓ located verbatim in the source · abstract, characters 1344–1473 · show in text ↑
t0

“antagonistic plant–insect interactions”

✓ located verbatim in the source · abstract, characters 95–133 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The authors suggest citizen science mutualistic networks can provide ecological indicators despite taxonomic limitations.

Taxon
plantt0
Outcome
useful ecological indicatorse0

Verbatim

e0

“For mutualistic networks, Citizen Science programmes can provide useful ecological indicators, even with its taxonomic limitations.”

✓ located verbatim in the source · abstract, characters 1631–1762 · show in text ↑
t0

“antagonistic plant–insect interactions”

✓ located verbatim in the source · abstract, characters 95–133 · show in text ↑