2021
DOI: 10.1111/oik.08350
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Temporal changes of local and regional processes in the assembly of herbivorous insect communities

Abstract: Herbivorous insect communities are structured by multiple processes operating locally (e.g. bottom–up effects of plants) and regionally (e.g. dispersal limitation). Although the relative strength of these processes has been well documented, how it varies in time is less understood, especially in relation with the temporal dynamics of plant communities. If temporal turnover of local plant species composition is too rapid for insect community assembly to keep up with, bottom–up effects are expected to be weak. H… Show more

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Cited by 3 publications
(4 citation statements)
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References 72 publications
(136 reference statements)
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“…By explicitly modeling the effects of spatial and temporal variation of environments on species composition, they showed cases where communities are unable to track current environmental status when the environment temporally varies (see box 1 in Jabot et al, 2020). Shinohara and Yoshida (2021) extended this idea to a multi‐trophic level context in grassland communities. As plant communities can serve as an “environment” for their consumer herbivorous insects, they predicted that a larger temporal turnover of plant species composition (i.e., abrupt shifts of the environment) weakens the bottom‐up effect of plants on insect communities.…”
Section: Temporal Dimensions Of Community Assemblymentioning
confidence: 99%
See 1 more Smart Citation
“…By explicitly modeling the effects of spatial and temporal variation of environments on species composition, they showed cases where communities are unable to track current environmental status when the environment temporally varies (see box 1 in Jabot et al, 2020). Shinohara and Yoshida (2021) extended this idea to a multi‐trophic level context in grassland communities. As plant communities can serve as an “environment” for their consumer herbivorous insects, they predicted that a larger temporal turnover of plant species composition (i.e., abrupt shifts of the environment) weakens the bottom‐up effect of plants on insect communities.…”
Section: Temporal Dimensions Of Community Assemblymentioning
confidence: 99%
“…Their data supported the prediction, providing empirical evidence that insect communities lagged behind compositional shifts of plant communities. Considering that a community at a given trophic level can serve as an environment for a higher trophic level community, the authors argued that the lag of community assembly could amplify when moving up through trophic levels, which they coined a term “trophic cascade of lag” (Shinohara & Yoshida, 2021).…”
Section: Temporal Dimensions Of Community Assemblymentioning
confidence: 99%
“…Arthropod communities have been found to experience significant turnover throughout the year (Thomsen et al 2015; Seifert et al 2021): it therefore makes sense that the more temporally distant collection dates yielded less overlap than the temporally closer ones did. This annual turnover can partially be attributed to bottom-up processes driven by temporal (Ekholm et al 2019; Shinohara and Yoshida 2021) and spatial (Sobek et al 2009) turnover of plant species. In one study, Auchenorrhyncha species abundance changed significantly across the year and related directly to the number of grass structures present at the site, which peaked in late summer (Stinson and Brown 1983).…”
Section: Discussionmentioning
confidence: 99%
“…At the same time, induced responses such as induced resistance and compensatory regrowth are herbivore‐species‐specific and deterministic (Kessler & Halitschke, 2007 ; Van Zandt & Agrawal, 2004a ), which in turn affect the subsequent community assembly (Stam et al, 2018 ; Van Zandt & Agrawal, 2004b ), forming feedback between plant traits and arthropods (i.e., plant–arthropod feedback, Utsumi et al, 2010 ; Yoneya et al, 2023 ). When such feedback is initiated by the earliest colonizers on a plant whose identity can vary stochastically (Bacca et al, 2021 ; Shinohara & Yoshida, 2021 ), it results in a priority effect (Chase, 2003 ; Fukami, 2015 ) because of the combination of stochastic and deterministic processes (Chase, 2010 ), which contribute to the divergence of community composition even within a plant population.…”
Section: Introductionmentioning
confidence: 99%