2019
DOI: 10.1111/een.12808
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Comparing the plant–herbivore network topology of different insect guilds in Neotropical savannas

Abstract: 1. Herbivorous insects can be classified into several trophic guilds with different levels of specialisation on their host plants, which may influence the topological structure of their trophic networks. The present study tested the hypothesis that the structure of plant-herbivore networks differs between guilds of galling, sucking, and chewing insects.2. Six areas of Neotropical savannas were studied in two localities in the North of the state of Minas Gerais, Brazil. In each area, interactions between plant … Show more

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Cited by 24 publications
(19 citation statements)
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“…2015; Oliveira et al . 2020). Compared with other networks of galling arthropods, the connectance of our network is lower than observed by Araújo et al .…”
Section: Discussionmentioning
confidence: 99%
“…2015; Oliveira et al . 2020). Compared with other networks of galling arthropods, the connectance of our network is lower than observed by Araújo et al .…”
Section: Discussionmentioning
confidence: 99%
“…To access the tree crowns in the canopy, we used single-rope and safetyfree climbing techniques (Ribeiro & Basset 2007;Neves et al 2013). This technique has been shown to be a good proxy to measure antagonistic interactions such as herbivory (Wardhaugh et al 2015;Augustyn et al 2016;Oliveira et al 2019).…”
Section: Herbivorous Insect Samplingmentioning
confidence: 99%
“…Network analyses, in turn, can be used to draw conclusions on ecosystem stability, as highly connected and less-specialized networks are assumed to be more robust to disturbances such as drought or, more generally, climate change ( 8 , 12 , 13 ). Moreover, this approach ensures the standardized comparison of different ecological groups, e.g., guilds, under similar conditions ( 14 , 15 ). It turned out that the organization of networks is related to the type of the underlying trophic relationship; mutualistic networks appear to be highly nested and specialized, whereas antagonistic networks are specialized and highly modular ( 16 ).…”
Section: Introductionmentioning
confidence: 99%