Discrete stochastic models are constructed and their limit diffusion processes are derived to shed light on a controversial conjecture regarding the effects of environmental variance on the asymptotic behavior of a population subject to logistic growth in random environment.
Population growth in random environments
โ Scribed by Carlos A. Braumann
- Publisher
- Springer
- Year
- 1983
- Tongue
- English
- Weight
- 374 KB
- Volume
- 45
- Category
- Article
- ISSN
- 1522-9602
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โฆ Synopsis
This paper reviews some recent advances in single population stochastic differential equation growth models. They are a natural way to model population growth in a randomly varying environment. The question of which calculus, It6 or Sttatonovich, is preferable is addressed. The two calculi coincide when the noise term is linear, if we take into account the differences in the interpretation of the parameters. This clarifies, among other things, the controversy on the theory of niche limiting similarity proposed by May and MacArthur. The effects of correlations in the environmental fluctuations and statistical methods for estimating parameters and for prediction based on a single population trajectory are mentioned. Applications to fisheries, wildlife management and particularly to environmental impact assessment are now becoming possible and are proposed in this paper.
๐ SIMILAR VOLUMES
We consider populations with an exponential growth or decay and random life time. We assume that the calendar time is subdivided into consecutive time periods of equal length. After successive completion of the nth growth period, with probability a, there will be an accumulated overall population c