JOURNAL ARTICLE

Season and herbivore defence trait mediate tri‐trophic interactions in tropical rainforest.

  • Published In: Journal of Animal Ecology, 2023, v. 92, n. 2. P. 466 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wenda, Cheng; Nakamura, Akihiro; Ashton, Louise A. 3 of 3

Abstract

Bottom‐up effects from host plants and top‐down effects from predators on herbivore abundance and distribution vary with physical environment, plant chemistry, predator and herbivore trait and diversity. Tri‐trophic interactions in tropical ecosystems may follow different patterns from temperate ecosystems due to differences in above abiotic and biotic conditions.We sampled leaf‐chewing larvae of Lepidoptera (caterpillars) from a dominant host tree species in a seasonal rainforest in Southwest China. We reared out parasitoids and grouped herbivores based on their diet preferences, feeding habits and defence mechanisms. We compared caterpillar abundance with leaf numbers ('bottom‐up' effects) and parasitoid abundance ('top‐down' effects) between different seasons and herbivore traits.We found bottom‐up effects were stronger than top‐down effects. Both bottom‐up and top‐down effects were stronger in the dry season than in the wet season, which were driven by polyphagous rare species and host plant phenology. Contrary to our predictions, herbivore traits did not influence differences in the bottom‐up or top‐down effects except for stronger top‐down effects for shelter‐builders. Our study shows season is the main predictor of the bottom‐up and top‐down effects in the tropics and highlights the complexity of these interactions. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Animal Ecology. 2023/02, Vol. 92, Issue 2, p466
  • Document Type:Article
  • Subject Area:Botany
  • Publication Date:2023
  • ISSN:0021-8790
  • DOI:10.1111/1365-2656.13865
  • Accession Number:161743439
  • Copyright Statement:Copyright of Journal of Animal Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.