4.8 Article

Are networks of trophic interactions sufficient for understanding the dynamics of multi-trophic communities? Analysis of a tri-trophic insect food-web time-series

Journal

ECOLOGY LETTERS
Volume 24, Issue 3, Pages 543-552

Publisher

WILEY
DOI: 10.1111/ele.13672

Keywords

Community network; empirical dynamic modelling; food web; insect community; non-trophic interaction; time series analysis

Categories

Funding

  1. JSPS KAKENHI [19H05641, 16K18625, 18K14797]
  2. Hakubi Project at Kyoto University
  3. Grants-in-Aid for Scientific Research [19H05641, 18K14797, 16K18625] Funding Source: KAKEN

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Research using a 10-year dataset on insect communities found that dynamic interactions between species reflect resource-consumer relationships, however not all trophic interactions result in detectable dynamic interactions, especially for top-down effects. Additionally, a considerable proportion of dynamic interactions are attributed to non-trophic and indirect interactions, highlighting their significant role as co-drivers of community dynamics.
Resource-consumer interactions are considered a major driving force of population and community dynamics. However, species also interact in many non-trophic and indirect ways and it is currently not known to what extent the dynamic coupling of species corresponds to the distribution of trophic links. Here, using a 10-year data set of monthly observations of a 40-species tri-trophic insect community and nonlinear time series analysis, we compare the occurrence and strengths of both the trophic and dynamic interactions in the insect community. The matching between observed trophic and dynamic interactions provides evidence that population dynamic interactions reflect resource-consumer interactions in the many-species community. However, the presence of a trophic interaction does not always correspond to a detectable dynamic interaction especially for top-down effects. Moreover a considerable proportion of dynamic interactions are not attributable to direct trophic interactions, suggesting the unignorable role of non-trophic and indirect interactions as co-drivers of community dynamics.

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