Literature DB >> 22352156

Phylogenetic signal in predator-prey body-size relationships.

Russell E Naisbit1, Patrik Kehrli, Rudolf P Rohr, Louis-Félix Bersier.   

Abstract

Body mass is a fundamental characteristic that affects metabolism, life history, and population abundance and frequently sets bounds on who eats whom in food webs. Based on a collection of topological food webs, Ulrich Brose and colleagues presented a general relationship between the body mass of predators and their prey and analyzed how mean predator-prey body-mass ratios differed among habitats and predator metabolic categories. Here we show that the general body-mass relationship conceals significant variation associated with both predator and prey phylogeny. Major-axis regressions between the log body mass of predators and prey differed among taxonomic groups. The global pattern for Kingdom Animalia had slope > 1, but phyla and classes varied, and several had slopes significantly < 1. The predator-prey body-mass ratio can therefore decrease or increase with increasing body mass, depending on the taxon considered. We also found a significant phylogenetic signal in analyses of prey body-mass range for predators and predator body-mass range for prey, with stronger signal in the former. Besides providing insights into how characteristics of trophic interactions evolve, our results emphasize the need to integrate phylogeny to improve models of community structure and dynamics or to achieve a metabolic theory of food-web ecology.

Mesh:

Year:  2011        PMID: 22352156     DOI: 10.1890/10-2234.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  9 in total

1.  Phylogeny versus body size as determinants of food web structure.

Authors:  Russell E Naisbit; Rudolf P Rohr; Axel G Rossberg; Patrik Kehrli; Louis-Félix Bersier
Journal:  Proc Biol Sci       Date:  2012-05-23       Impact factor: 5.349

2.  Predator-prey body size relationships when predators can consume prey larger than themselves.

Authors:  Takefumi Nakazawa; Shin-Ya Ohba; Masayuki Ushio
Journal:  Biol Lett       Date:  2013-03-27       Impact factor: 3.703

3.  Who eats whom in a pool? A comparative study of prey selectivity by predatory aquatic insects.

Authors:  Jan Klecka; David S Boukal
Journal:  PLoS One       Date:  2012-06-05       Impact factor: 3.240

4.  Modelling size structured food webs using a modified niche model with two predator traits.

Authors:  Jan Klecka
Journal:  PLoS One       Date:  2014-08-13       Impact factor: 3.240

5.  Limitations of a metabolic network-based reverse ecology method for inferring host-pathogen interactions.

Authors:  Kazuhiro Takemoto; Kazuki Aie
Journal:  BMC Bioinformatics       Date:  2017-05-25       Impact factor: 3.169

Review 6.  Eco-evolutionary dynamics in a disturbed world: implications for the maintenance of ecological networks.

Authors:  Nicolas Loeuille
Journal:  F1000Res       Date:  2019-01-24

7.  Mismatch in microbial food webs: predators but not prey perform better in their local biotic and abiotic conditions.

Authors:  Elodie C Parain; Dominique Gravel; Rudolf P Rohr; Louis-Félix Bersier; Sarah M Gray
Journal:  Ecol Evol       Date:  2016-06-21       Impact factor: 2.912

8.  What determines prey selection in owls? Roles of prey traits, prey class, environmental variables, and taxonomic specialization.

Authors:  Orr Comay; Tamar Dayan
Journal:  Ecol Evol       Date:  2018-02-22       Impact factor: 2.912

9.  Decomposing the effects of ocean environments on predator-prey body-size relationships in food webs.

Authors:  Tomoya Dobashi; Midori Iida; Kazuhiro Takemoto
Journal:  R Soc Open Sci       Date:  2018-07-18       Impact factor: 2.963

  9 in total

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