Literature DB >> 18284474

Success and its limits among structural models of complex food webs.

Richard J Williams1, Neo D Martinez.   

Abstract

1. Following the development of the relatively successful niche model, several other simple structural food web models have been proposed. These models predict the detailed structure of complex food webs given only two input parameters, the numbers of species and the number of feeding links among them. 2. The models claim different degrees of success but have not been compared consistently with each other or with the empirical data. We compared the performance of five structural models rigorously against 10 empirical food webs from a variety of aquatic and terrestrial habitats containing 25-92 species and 68-997 links. 3. All models include near-hierarchical ordering of species' consumption and have identical distributions of the number of prey of each consumer species, but differ in the extent to which species' diets are required to be contiguous and the rules used to assign feeding links. 4. The models perform similarly on a range of food-web properties, including the fraction of top, intermediate and basal species, the standard deviations of generality and connectivity and the fraction of herbivores and omnivores. 5. For other properties, including the standard deviation of vulnerability, the fraction of cannibals and species in loops, mean trophic level, path length, clustering coefficient, maximum similarity and diet discontinuity, there are significant differences in the performance of the different models. 6. While the empirical data do not support the niche model's assumption of diet contiguity, models which relax this assumption all have worse overall performance than the niche model. All the models under-estimate severely the fraction of species that are herbivores and exhibit other important failures that need to be addressed in future research.

Mesh:

Year:  2008        PMID: 18284474     DOI: 10.1111/j.1365-2656.2008.01362.x

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


  27 in total

1.  The "Goldilocks factor" in food webs.

Authors:  Eric L Berlow; Ulrich Brose; Neo D Martinez
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-11       Impact factor: 11.205

2.  Cascading extinctions and community collapse in model food webs.

Authors:  Jennifer A Dunne; Richard J Williams
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-06-27       Impact factor: 6.237

3.  Complex food webs prevent competitive exclusion among producer species.

Authors:  Ulrich Brose
Journal:  Proc Biol Sci       Date:  2008-11-07       Impact factor: 5.349

4.  Compartmentalization increases food-web persistence.

Authors:  Daniel B Stouffer; Jordi Bascompte
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-09       Impact factor: 11.205

5.  Trophic coherence determines food-web stability.

Authors:  Samuel Johnson; Virginia Domínguez-García; Luca Donetti; Miguel A Muñoz
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-02       Impact factor: 11.205

6.  Degree heterogeneity and stability of ecological networks.

Authors:  Gang Yan; Neo D Martinez; Yang-Yu Liu
Journal:  J R Soc Interface       Date:  2017-06       Impact factor: 4.118

7.  The role of body mass in diet contiguity and food-web structure.

Authors:  Daniel B Stouffer; Enrico L Rezende; Luís A Nunes Amaral
Journal:  J Anim Ecol       Date:  2011-03-14       Impact factor: 5.091

8.  The probabilistic niche model reveals the niche structure and role of body size in a complex food web.

Authors:  Richard J Williams; Ananthi Anandanadesan; Drew Purves
Journal:  PLoS One       Date:  2010-08-09       Impact factor: 3.240

9.  Parasites affect food web structure primarily through increased diversity and complexity.

Authors:  Jennifer A Dunne; Kevin D Lafferty; Andrew P Dobson; Ryan F Hechinger; Armand M Kuris; Neo D Martinez; John P McLaughlin; Kim N Mouritsen; Robert Poulin; Karsten Reise; Daniel B Stouffer; David W Thieltges; Richard J Williams; Claus Dieter Zander
Journal:  PLoS Biol       Date:  2013-06-11       Impact factor: 8.029

10.  Modeling the building blocks of biodiversity.

Authors:  Lucas N Joppa; Rich Williams
Journal:  PLoS One       Date:  2013-02-27       Impact factor: 3.240

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