Variance in ecological consumer–resource interactions
Lisandro Benedetti-Cecchi ()
Additional contact information
Lisandro Benedetti-Cecchi: Dipartimento di Scienze dell’Uomo e dell’Ambiente
Nature, 2000, vol. 407, issue 6802, 370-374
Abstract:
Abstract Food-web models use the effect size of trophic interactions to predict consumer–resource dynamics1,2,3. These models anticipate that strong effects of consumers increase spatial and temporal variability in abundance of species, whereas weak effects dampen fluctuations4,5,6. Empirical evidence indicates that opposite patterns may occur in natural assemblages7. Here I show that spatial variance in the distribution of resource populations is sensitive to changes in the variance of the trophic interaction, in addition to the mean effect of consumers, relative to other causes of spatial variability. Simulations indicate that both strong and weak direct effects of consumers can promote spatial variability in abundance of resources, but only trophic interactions with a large mean effect size can reduce variation. Predictions of the model agree with the results of repeated field experiments and are consistent with data from published consumer–resource interactions, proving to be robust across widely varying environmental conditions and species’ life histories. Thus, food-web models that embody variance in trophic interactions may have increased capacity to explain the wide range of effects of consumers documented in empirical studies.
Date: 2000
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/35030089 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:407:y:2000:i:6802:d:10.1038_35030089
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/35030089
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().