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Trophic interaction modifications: an empirical and theoretical framework

From Complex Time
Category
General Reference
author-supplied keywords
Food webs
indirect effects
interaction strength
mechanistic models
non-trophic interaction
population dynamics
trait-mediated indirect interaction
trophic interaction modification
trophic interactions
keywords
authors
J. Christopher D. Terry
Rebecca J. Morris
Michael B. Bonsall
title
Trophic interaction modifications: an empirical and theoretical framework
type
journal
year
2017
source
Ecology Letters
pages
1219-1230
volume
20
issue
10
publisher
Blackwell Publishing Ltd
link
https://www.mendeley.com/catalogue/07280356-719e-3b20-94ee-40681946037d/(0)

Abstract

Consumer–resource interactions are often influenced by other species in the community. At present these ‘trophic interaction modifications’ are rarely included in ecological models despite demonstrations that they can drive system dynamics. Here, we advocate and extend an approach that has the potential to unite and represent this key group of non-trophic interactions by emphasising the change to trophic interactions induced by modifying species. We highlight the opportunities this approach brings in comparison to frameworks that coerce trophic interaction modifications into pairwise relationships. To establish common frames of reference and explore the value of the approach, we set out a range of metrics for the ‘strength’ of an interaction modification which incorporate increasing levels of contextual information about the system. Through demonstrations in three-species model systems, we establish that these metrics capture complimentary aspects of interaction modifications. We show how the approach can be used in a range of empirical contexts; we identify as specific gaps in current understanding experiments with multiple levels of modifier species and the distributions of modifications in networks. The trophic interaction modification approach we propose can motivate and unite empirical and theoretical studies of system dynamics, providing a route to confront ecological complexity.

Counts

Citation count From Scopus. Refreshed every 5 days.
22
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Identifiers

  • doi: 10.1111/ele.12824 (Google search)
  • issn: 14610248
  • sgr: 85029591752
  • pmid: 28921859
  • scopus: 2-s2.0-85029591752
  • pui: 618370587

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