Literature DB >> 24645977

Let's go beyond taxonomy in diet description: testing a trait-based approach to prey-predator relationships.

Jérôme Spitz1,2, Vincent Ridoux3,4, Anik Brind'Amour5.   

Abstract

Understanding 'Why a prey is a prey for a given predator?' can be facilitated through trait-based approaches that identify linkages between prey and predator morphological and ecological characteristics and highlight key functions involved in prey selection. Enhanced understanding of the functional relationships between predators and their prey is now essential to go beyond the traditional taxonomic framework of dietary studies and to improve our knowledge of ecosystem functioning for wildlife conservation and management. We test the relevance of a three-matrix approach in foraging ecology among a marine mammal community in the northeast Atlantic to identify the key functional traits shaping prey selection processes regardless of the taxonomy of both the predators and prey. Our study reveals that prey found in the diet of marine mammals possess functional traits which are directly and significantly linked to predator characteristics, allowing the establishment of a functional typology of marine mammal-prey relationships. We found prey selection of marine mammals was primarily shaped by physiological and morphological traits of both predators and prey, confirming that energetic costs of foraging strategies and muscular performance are major drivers of prey selection in marine mammals. We demonstrate that trait-based approaches can provide a new definition of the resource needs of predators. This framework can be used to anticipate bottom-up effects on marine predator population dynamics and to identify predators which are sensitive to the loss of key prey functional traits when prey availability is reduced.
© 2014 The Authors. Journal of Animal Ecology © 2014 British Ecological Society.

Entities:  

Keywords:  RLQ analysis; foraging strategy; fourth‐corner method; functional ecology; marine mammals; prey selection

Mesh:

Year:  2014        PMID: 24645977     DOI: 10.1111/1365-2656.12218

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  8 in total

1.  Morphology predicts species' functional roles and their degree of specialization in plant-frugivore interactions.

Authors:  D Matthias Dehling; Pedro Jordano; H Martin Schaefer; Katrin Böhning-Gaese; Matthias Schleuning
Journal:  Proc Biol Sci       Date:  2016-01-27       Impact factor: 5.349

2.  Matching-centrality decomposition and the forecasting of new links in networks.

Authors:  Rudolf P Rohr; Russell E Naisbit; Christian Mazza; Louis-Félix Bersier
Journal:  Proc Biol Sci       Date:  2016-02-10       Impact factor: 5.349

3.  The effects of environment, hosts and space on compositional, phylogenetic and functional beta-diversity in two taxa of arthropod ectoparasites.

Authors:  Boris R Krasnov; Georgy I Shenbrot; Natalia P Korallo-Vinarskaya; Maxim V Vinarski; Elizabeth M Warburton; Irina S Khokhlova
Journal:  Parasitol Res       Date:  2019-06-11       Impact factor: 2.289

4.  Trophic interactions drive the emergence of diel vertical migration patterns: a game-theoretic model of copepod communities.

Authors:  Jérôme Pinti; Thomas Kiørboe; Uffe H Thygesen; André W Visser
Journal:  Proc Biol Sci       Date:  2019-09-25       Impact factor: 5.349

Review 5.  The meaning of functional trait composition of food webs for ecosystem functioning.

Authors:  Dominique Gravel; Camille Albouy; Wilfried Thuiller
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-05-19       Impact factor: 6.237

6.  Trait-based predation suitability offers insight into effects of changing prey communities.

Authors:  Benjamin Weigel; Erik Bonsdorff
Journal:  PeerJ       Date:  2018-11-06       Impact factor: 2.984

7.  Traits of litter-dwelling forest arthropod predators and detritivores covary spatially with traits of their resources.

Authors:  Pierre-Marc Brousseau; Dominique Gravel; I Tanya Handa
Journal:  Ecology       Date:  2019-08-14       Impact factor: 5.499

8.  Creating functional groups of marine fish from categorical traits.

Authors:  Monique A Ladds; Nokuthaba Sibanda; Richard Arnold; Matthew R Dunn
Journal:  PeerJ       Date:  2018-10-23       Impact factor: 2.984

  8 in total

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