E(OLOGI(HL
mODELLInG
ELSEVIER Ecological Modelling 73 (1994) 81-96
Density-dependent regulation of population number
and life-history evolution: Optimization of age at maturity
in a simple allocation model for annuals and biennials
Jan Koztowski *, Mariusz Janczur 1
Institute of Environmental Biology, Jagiellonian Unit,ersity, Oleandry 2a, 30-063 Krakdw, Poland
(Received 20 January 1993; accepted 29 June 1993)
Abstract
There is controversy about what fitness measure to maximize in life-history models: the
Malthusian parameter r; or net reproductive rate R, which is equivalent to lifetime
production of offspring. Neither of these can be considered universal: R is a proper
measure only at population equilibrium, and r cannot remain positive and constant for long.
If we wish to make quantitative predictions of life-history parameters, density dependence
should be incorporated directly into the model.
The paper gives numerical examples of optimal allocation of energy to growth and
reproduction. For annual plants, the density dependence of seed or seedling mortality does
not affect age and size at maturity. This means that the same clone is optimal under low and
high densities. But the density dependence or biomass dependence of the production rate
does affect age and size at maturity. Although clones adapted to low density can achieve
ecological equilibrium, they can be invaded by any clone better adapted to crowding. Such
invasions can be repeated until the ESS (evolutionarily stable strategy) clone invades and
outcompetes other clones. This last state can be called "evolutionary equilibrium" as
opposed to the "ecological equilibrium" that can be achieved by any clone.
Invasion of a population of annuals by biennials is unlikely at low density when
generation time is crucial. But biennials can invade a population of annuals at equilibrium if
a rare biennial surrounded by annuals has R at least slightly greater than one.
The paper discusses why the concept of r- and K-selection is vague, and how it can be
translated to optimal allocation models.
Key words: Age at maturity; Annual; Biennial; Density dependence; Life history; Optimiza-
tion
* Corresponding author.
Present address: Aldama 121 SUR, C.P. 50000 Toluca, Edo de Mexico, Mexico.
0304-3800/94/$07.00 © 1994 Elsevier Science B.V. All rights reserved
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