Résumé
Behavioral and evolutionary ecologists often attempt to quantify monopolization of mates or food items using indices such as the variance, the coefficient of variation (CV), the coefficient of dispersion (CD), or the opportunity for selection (I). Because of the tendency for the variance to increase with the mean and because of the relationship between variance and the number of competitors, such indices are of limited value for comparisons between systems that differ in the mean number of resources per competitor or in the number of competitors. Here we examine an alternative index of relative monopolisation, Q, in which the observed variance in resource distribution is expressed as a fraction of the maximum possible variance (assuming discrete resource items) for a given resource abundance, both corrected by an estimate of the variance expected under a random distribution of resources. Q = 1 when the variance in resource distribution is maximum, and Q = 0 when resources are randomly distributed. We demonstrate analytically that (1) on average, Q is independent of mean resource abundance for overdispersed systems and, (2) Q can be used to compare systems with different numbers of competitors as long as the total number of resource units is not larger than the number that can be monopolized by a single individual. We illustrate the advantages of this method using data from studies on feeding competition in fish and on mating competition in crickets.
Langue d'origine | English |
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Pages (de-à) | 199-207 |
Nombre de pages | 9 |
Journal | Behavioral Ecology |
Volume | 7 |
Numéro de publication | 2 |
DOI | |
Statut de publication | Published - 1996 |
Note bibliographique
Funding Information:We thank S. Walde for discussions throughout the development of this work and comments on intermediate versions of the manuscript. We thank K. Souroukis and W. H. Cade for graciously providing the data on reproductive competition in crickets. We also thank M. Bry-ant, J. Downing, D. Gillis, A. Horn, R. A. Myers, R. Routledge, R. E. Scheibling, and H. Whitehead for their comments on a draft. We thank three anonymous referees and editor M. Mangel for helpful comments that greatly improved the clarity of the manuscript The statistical and programming advice of Wade Blanchard of the Statistical Consulting Service, Dalhousie University is greatly appreciated. During the development of this work D.E.R. was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) operating grants to D.L.K. and Roger W. Doyle. The article was prepared with partial support from a Dalhousie University research and development grant awarded to D.E.R. and Roger W. Doyle, and from an NSERC operating grant to D.CH.
ASJC Scopus Subject Areas
- Ecology, Evolution, Behavior and Systematics
- Animal Science and Zoology