Journal
JOURNAL OF MATHEMATICAL BIOLOGY
Volume 43, Issue 6, Pages 534-544Publisher
SPRINGER-VERLAG
DOI: 10.1007/s002850100108
Keywords
stochastic population growth; linear diffusions; increased stochasticity; extinction
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We consider the impact of increased stochastic fluctuations on the extinction date of an unstructured population subject to either environmental or demographical stochasticity (or both). By modelling the population density as a general linear diffusion, we state a set of typically satisfied conditions under which the decreasing minimal r-excessive mapping (and, therefore, the moment generating function) of the considered diffusion process is convex and, consequently, under which the impact of increased stochastic fluctuations on the expected date at which the density becomes arbitrarily small is unambiguously negative. In other words. we establish a set of sufficient conditions under which increased stochasticity speeds up the extinction process independently of whether stochasticity is environmental or demographic. In this way, we are able to confirm that increased stochasticity is detrimental for population growth.
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