Literature DB >> 17040325

Allometric scaling enhances stability in complex food webs.

Ulrich Brose, Richard J Williams, Neo D Martinez.   

Abstract

Classic local stability theory predicts that complex ecological networks are unstable and are unlikely to persist despite empiricists' abundant documentation of such complexity in nature. This contradiction has puzzled biologists for decades. While some have explored how stability may be achieved in small modules of a few interacting species, rigorous demonstrations of how large complex and ecologically realistic networks dynamically persist remain scarce and inadequately understood. Here, we help fill this void by combining structural models of complex food webs with nonlinear bioenergetic models of population dynamics parameterized by biological rates that are allometrically scaled to populations' average body masses. Increasing predator-prey body mass ratios increase population persistence up to a saturation level that is reached by invertebrate and ectotherm vertebrate predators when being 10 or 100 times larger than their prey respectively. These values are corroborated by empirical predator-prey body mass ratios from a global data base. Moreover, negative effects of diversity (i.e. species richness) on stability (i.e. population persistence) become neutral or positive relationships at these empirical ratios. These results demonstrate that the predator-prey body mass ratios found in nature may be key to enabling persistence of populations in complex food webs and stabilizing the diversity of natural ecosystems.

Mesh:

Year:  2006        PMID: 17040325     DOI: 10.1111/j.1461-0248.2006.00978.x

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


  99 in total

1.  Using functional response modeling to investigate the effect of temperature on predator feeding rate and energetic efficiency.

Authors:  Arnaud Sentis; Jean-Louis Hemptinne; Jacques Brodeur
Journal:  Oecologia       Date:  2012-01-21       Impact factor: 3.225

2.  Dimensionality of consumer search space drives trophic interaction strengths.

Authors:  Samraat Pawar; Anthony I Dell; Van M Savage
Journal:  Nature       Date:  2012-06-28       Impact factor: 49.962

3.  Predicting the effects of temperature on food web connectance.

Authors:  Owen L Petchey; Ulrich Brose; Björn C Rall
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-07-12       Impact factor: 6.237

4.  Warming effects on marine microbial food web processes: how far can we go when it comes to predictions?

Authors:  Hugo Sarmento; José M Montoya; Evaristo Vázquez-Domínguez; Dolors Vaqué; Josep M Gasol
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-07-12       Impact factor: 6.237

5.  Universal power-law diet partitioning by marine fish and squid with surprising stability-diversity implications.

Authors:  Axel G Rossberg; Keith D Farnsworth; Keisuke Satoh; John K Pinnegar
Journal:  Proc Biol Sci       Date:  2010-11-10       Impact factor: 5.349

6.  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

7.  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

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

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

9.  Simple prediction of interaction strengths in complex food webs.

Authors:  Eric L Berlow; Jennifer A Dunne; Neo D Martinez; Philip B Stark; Richard J Williams; Ulrich Brose
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-29       Impact factor: 11.205

10.  Building trophic modules into a persistent food web.

Authors:  Michio Kondoh
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-20       Impact factor: 11.205

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