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Atto-Foxes and Other Minutiae
- Source :
- Bulletin of Mathematical Biology
- Publication Year :
- 2020
-
Abstract
- This paper addresses the problem of extinction in continuous models of population dynamics associated with small numbers of individuals. We begin with an extended discussion of extinction in the particular case of a stochastic logistic model, and how it relates to the corresponding continuous model. Two examples of ‘small number dynamics’ are then considered. The first is what Mollison calls the ‘atto-fox’ problem (in a model of fox rabies), referring to the problematic theoretical occurrence of a predicted rabid fox density of $$10^{-18}$$ 10 - 18 (atto-) per square kilometre. The second is how the production of large numbers of eggs by an individual can reliably lead to the eventual survival of a handful of adults, as it would seem that extinction then becomes a likely possibility. We describe the occurrence of the atto-fox problem in other contexts, such as the microbial ‘yocto-cell’ problem, and we suggest that the modelling resolution is to allow for the existence of a reservoir for the extinctively challenged individuals. This is functionally similar to the concept of a ‘refuge’ in predator–prey systems and represents a state for the individuals in which they are immune from destruction. For what I call the ‘frogspawn’ problem, where only a few individuals survive to adulthood from a large number of eggs, we provide a simple explanation based on a Holling type 3 response and elaborate it by means of a suitable nonlinear age-structured model.
- Subjects :
- Frogspawn
Rabies
General Mathematics
Immunology
Population
Population Dynamics
Foxes
Special Issue: Celebrating J. D. Murray
Type (model theory)
Boom-and-bust
General Biochemistry, Genetics and Molecular Biology
Econometrics
Animals
education
Atto-foxes
General Environmental Science
Mathematics
Simple (philosophy)
Pharmacology
Minutiae
education.field_of_study
Extinction
Continuous modelling
General Neuroscience
Small number
Stochastic logistic model
Mathematical Concepts
Atto
Computational Theory and Mathematics
General Agricultural and Biological Sciences
Subjects
Details
- ISSN :
- 15229602
- Volume :
- 83
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Bulletin of mathematical biology
- Accession number :
- edsair.doi.dedup.....493e99a4c5fd9eaf4af486282abd80c5