Predicting trophic relations in ecological networks: a test of the Allometric Diet Breadth Model

Journal of Theoretical Biology
Stefano Allesina

Abstract

Few food web theory hypotheses/predictions can be readily tested using likelihoods of reproducing the data. Simple probabilistic models for food web structure, however, are an exception as their likelihoods were recently derived. Here I test the performance of a more complex model for food web structure that is grounded in the allometric scaling of interactions with body size and the theory of optimal foraging (Allometric Diet Breadth Model-ADBM). This deterministic model has been evaluated by measuring the fraction of trophic relations it correctly predicts. I contrasted this value with that produced by simpler models based on body sizes and found that the quantitative information on allometric scaling and optimal foraging does not significantly increase model fit. Also, I present a method to compute the p-value for the fraction of trophic interactions correctly predicted by the ADBM, or any other model, with respect to three probabilistic models. I find that the ADBM predicts significantly more links than random graphs, but other models can outperform it. Although optimal foraging and allometric scaling may improve our understanding of food webs, the ADBM needs to be modified or replaced to find support in the data.

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Citations

Nov 18, 2011·Proceedings. Biological Sciences·Anna EklöfStefano Allesina
May 26, 2012·Proceedings. Biological Sciences·Russell E NaisbitLouis-Félix Bersier
Feb 27, 2013·Ecology Letters·Anna EklöfStefano Allesina
Apr 10, 2016·Journal of Theoretical Biology·Daniel RitterskampBernd Blasius
Aug 8, 2019·Ecology Letters·Hsi-Cheng HoSamraat Pawar
Jan 13, 2016·Biological Reviews of the Cambridge Philosophical Society·Ulrich BroseUte Jacob
Mar 27, 2018·Ecology Letters·Tomas JonssonRiccardo Bommarco

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