Cited by 205Mathematical and Theoretical Epidemiology and Ecology ModelsEcology and Vegetation Dynamics StudiesAnimal Ecology and Behavior Studies

Press perturbations and indirect effects in real food webs

Montoya, JoséM., Woodward, Guy, Emmerson, Mark C., Solé, Ricard V.·2009·Ecology

Abstract

The prediction of the effects of disturbances in natural systems is limited by the general lack of knowledge on the strength of species interactions, i.e., the effect of one species on the population growth rate of another, and by the uncertainty of the effects that may be manifested via indirect pathways within the food web. Here we explored the consequences of changes in species populations for the remaining species within nine exceptionally well-characterized empirical food webs, for which, unlike the vast majority of other published webs, feeding links have been fully quantified. Using the inverse of the Jacobian matrix, we found that perturbations to species with few connections have larger net effects (considering both direct and indirect pathways between two species) on the rest of the food web than do disturbances to species that are highly connected. For 40% of predator-prey links, predators had positive net effects on prey populations, due to the predominance of indirect interactions. Our results highlight the fundamental, but often counterintuitive, role of indirect effects for the maintenance of food web complexity and biodiversity.

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Crossref · 10.1890/08-0657.1

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39 of 39 references verified0 citation errors · 0 not checkable

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  • Few studies have attempted to parameterise complex real-world terrestrial food webs with sufficient resolution to assess both stability and the predictability of indirect effects.

    “Few studies have attempted to parameterise complex real-world terrestrial food webs with sufficient resolution to assess both stability and the predictability of indirect effects (Montoya et al. 2009).”

    From A Food Web Model of the Serengeti: Stability, Dynamics and Indirect Effects (2026) · cites this paper as Montoya et al. 2009

  • A study of nine empirical food webs by Montoya et al. 2009 found an average of 40% of consumer-resource links featured a positive net effect of consumers on their resource species.

    “A study of nine empirical food webs by (Montoya et al. 2009) found an average of 40% of consumer-resource links in those ecosystems to feature a positive net effect of consumers on their resource species.”

    From A Food Web Model of the Serengeti: Stability, Dynamics and Indirect Effects (2026) · cites this paper as Montoya et al. 2009

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Authors
Montoya, J., Woodward, G., Emmerson, M. C., & Solé, R. V.
Affiliations
  • Queen Mary University of London (GB)
  • University College Cork (IE)
  • Institució Catalana de Recerca i Estudis Avançats (ES)
Venue
Ecology
Publisher
Wiley
Published
2009-09
Volume
90
Issue
9
Pages
2426-2433
ISSN
  • 0012-9658 (ISSN-L)
  • 1939-9170
OpenAlex
W2080748515
Cited by
205
References
39
Citations by year
2026: 6 · 2025: 11 · 2024: 14 · 2023: 11 · 2022: 5 · 2021: 9 · 2020: 10 · 2019: 30 · 2018: 9 · 2017: 8 · 2016: 19 · 2015: 14 · 2014: 12 · 2013: 13 · 2012: 9
FWCI
11.07
Type
journal article
Language
en
Open access
closed
Locations
  • Ecology (publishedVersion)
  • PubMed (publishedVersion)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
  • Research Portal (Queen's University Belfast) (submittedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
  • Physical Sciences › Environmental Science › Ecology › Animal Ecology and Behavior Studies
Keywords
food webs, indirect interactions, species interactions, Jacobian matrix, perturbation analysis, predator-prey interactions, network connectivity, biodiversity maintenance, food web complexity
MeSH terms
Adaptation, Biological, Animals, Fishes, Invertebrates, Membrane Proteins, Population Density, Population Dynamics, Biomass, Food Chain, Saccharomyces cerevisiae Proteins, Rivers

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