Literature DB >> 27094829

On the context-dependent scaling of consumer feeding rates.

Daniel Barrios-O'Neill1, Ruth Kelly1, Jaimie T A Dick1, Anthony Ricciardi2, Hugh J MacIsaac3, Mark C Emmerson1.   

Abstract

The stability of consumer-resource systems can depend on the form of feeding interactions (i.e. functional responses). Size-based models predict interactions - and thus stability - based on consumer-resource size ratios. However, little is known about how interaction contexts (e.g. simple or complex habitats) might alter scaling relationships. Addressing this, we experimentally measured interactions between a large size range of aquatic predators (4-6400 mg over 1347 feeding trials) and an invasive prey that transitions among habitats: from the water column (3D interactions) to simple and complex benthic substrates (2D interactions). Simple and complex substrates mediated successive reductions in capture rates - particularly around the unimodal optimum - and promoted prey population stability in model simulations. Many real consumer-resource systems transition between 2D and 3D interactions, and along complexity gradients. Thus, Context-Dependent Scaling (CDS) of feeding interactions could represent an unrecognised aspect of food webs, and quantifying the extent of CDS might enhance predictive ecology.
© The Authors. Ecology Letters published by CNRS and John Wiley & Sons Ltd.

Entities:  

Keywords:  Body size; Type II; Type III; density dependence; functional response; habitat complexity; invasive species; population stability; predator-prey dynamics; scaling

Mesh:

Year:  2016        PMID: 27094829     DOI: 10.1111/ele.12605

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  9 in total

1.  Body size, body size ratio, and prey type influence the functional response of damselfly nymphs.

Authors:  Stella F Uiterwaal; Courtney Mares; John P DeLong
Journal:  Oecologia       Date:  2017-09-22       Impact factor: 3.225

2.  Phenotypic variation explains food web structural patterns.

Authors:  Jean P Gibert; John P DeLong
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-02       Impact factor: 11.205

3.  Individual variation in functional response parameters is explained by body size but not by behavioural types in a poeciliid fish.

Authors:  Arne Schröder; Gregor Kalinkat; Robert Arlinghaus
Journal:  Oecologia       Date:  2016-08-12       Impact factor: 3.225

4.  Predator type influences the frequency of functional responses to prey in marine habitats.

Authors:  Robert P Dunn; Kevin A Hovel
Journal:  Biol Lett       Date:  2020-01-22       Impact factor: 3.703

5.  Influence of intra- and interspecific variation in predator-prey body size ratios on trophic interaction strengths.

Authors:  Ross N Cuthbert; Ryan J Wasserman; Tatenda Dalu; Horst Kaiser; Olaf L F Weyl; Jaimie T A Dick; Arnaud Sentis; Michael W McCoy; Mhairi E Alexander
Journal:  Ecol Evol       Date:  2020-06-01       Impact factor: 2.912

6.  Effect of prey size and structural complexity on the functional response in a nematode- nematode system.

Authors:  Bianca Kreuzinger-Janik; Henrike Brüchner-Hüttemann; Walter Traunspurger
Journal:  Sci Rep       Date:  2019-04-05       Impact factor: 4.379

7.  Biomass encounter rates limit the size scaling of feeding interactions.

Authors:  Daniel Barrios-O'Neill; Ruth Kelly; Mark C Emmerson
Journal:  Ecol Lett       Date:  2019-08-21       Impact factor: 9.492

8.  Intermediate predator naïveté and sex-skewed vulnerability predict the impact of an invasive higher predator.

Authors:  Ross N Cuthbert; Tatenda Dalu; Ryan J Wasserman; Jaimie T A Dick; Lubabalo Mofu; Amanda Callaghan; Olaf L F Weyl
Journal:  Sci Rep       Date:  2018-09-24       Impact factor: 4.379

9.  Functional responses of a cosmopolitan invader demonstrate intraspecific variability in consumer-resource dynamics.

Authors:  Brett R Howard; Daniel Barrios-O'Neill; Mhairi E Alexander; Jaimie T A Dick; Thomas W Therriault; Tamara B Robinson; Isabelle M Côté
Journal:  PeerJ       Date:  2018-09-28       Impact factor: 2.984

  9 in total

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