Abstract

AbstractTrait‐based approaches have broadened our understanding of how the composition of ecological communities responds to environmental drivers. This research has mainly focussed on abiotic factors and competition determining the community trait distribution, while effects of trophic interactions on trait dynamics, if considered at all, have been studied for two trophic levels at maximum. However, natural food webs are typically at least tritrophic. This enables indirect interactions of traits and biomasses among multiple trophic levels leading to underexplored effects on food web dynamics. Here, we demonstrate the occurrence of mutual trait adjustment among three trophic levels in a natural plankton food web (Lake Constance) and in a corresponding mathematical model. We found highly recurrent seasonal biomass and trait dynamics, where herbivorous zooplankton increased its size, and thus its ability to counter phytoplankton defense, before phytoplankton defense actually increased. This is contrary to predictions from bitrophic systems where counter‐defense of the consumer is a reaction to prey defense. In contrast, counter‐defense of carnivores by size adjustment followed the defense of herbivores as expected. By combining observations and model simulations, we show how the reversed trait dynamics at the two lower trophic levels result from a “trophic biomass–trait cascade” driven by the carnivores. Trait adjustment between two trophic levels can therefore be altered by biomass or trait changes of adjacent trophic levels. Hence, analyses of only pairwise trait adjustment can be misleading in natural food webs, while multitrophic trait‐based approaches capture indirect biomass–trait interactions among multiple trophic levels.

Highlights

  • Ecological communities are commonly composed of many species, each being connected by a large number of interactions with other species and their environment

  • Our results demonstrate that the analysis of pairwise trait adjustment can be misleading in natural food webs, while multitrophic trait-based approaches are suitable to obtain mechanistic understanding of community trait dynamics

  • Our results provide first empirical evidence for rapid mutual biomass–trait adjustments among three trophic levels in a natural food web, using a long-term plankton data set of Lake Constance

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Summary

Introduction

Ecological communities are commonly composed of many species, each being connected by a large number of interactions with other species and their environment. Recent research in that field has analyzed seasonal trait succession of phytoplankton within one ecosystem (Edwards et al 2013a; Terseleer et al 2014) or has compared the trait composition of plankton communities across different environments (Barton et al 2013; Edwards et al 2013b; Brun et al 2016; Klais et al 2017). These studies typically examined how the trait composition within only one trophic level, e.g., phytoplankton, responds to abiotic (e.g., temperature, light, and nutrients) or biotic drivers

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