A general relationship between carrying capacity and extinction risk

The relationship between a population’s probability of extinction and its carrying capacity frames conservation status assessments and guides efforts to mitigate the ongoing biodiversity crisis. Despite this, our understanding of the mathematical form of this relationship remains limited. Here, we conducted ~5 billion population viability assessments and show that they jointly converge on a modified Gompertz curve. This pattern is consistent across >1700 distinct model populations, representing different breeding systems and widely varying rates of population growth, levels of environmental stochasticity, adult survival rate, age at first breeding, and initial population size. Analytical treatment of the underlying dynamics shows that few assumptions are needed to show that the relationship holds for any extant population subject to density-dependent growth. Finally, we discuss the implications of these results and consider the practical use of our findings by conservationists.

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Publication Details

Published
2026-11-09
DOI
https://doi.org/10.33774/coe-2024-m9dqp-v5
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
preprint
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preprint

A general relationship between carrying capacity and extinction risk

Rhys E. Green, Daniele Rinaldo, Barry W. Brook, Thomas Ball et al.
Mathematical and Theoretical Epidemiology and Ecology Models
preprint

A general relationship between carrying capacity and extinction risk

Rhys E. Green, Daniele Rinaldo, Barry W. Brook, Thomas Ball, Piero Visconti, Ben Balmford, Andrew P. Balmford
preprint en

Abstract

The relationship between a population’s probability of extinction and its carrying capacity frames conservation status assessments and guides efforts to mitigate the ongoing biodiversity crisis. Despite this, our understanding of the mathematical form of this relationship remains limited. Here, we conducted ~5 billion population viability assessments and show that they jointly converge on a modified Gompertz curve. This pattern is consistent across >1700 distinct model populations, representing different breeding systems and widely varying rates of population growth, levels of environmental stochasticity, adult survival rate, age at first breeding, and initial population size. Analytical treatment of the underlying dynamics shows that few assumptions are needed to show that the relationship holds for any extant population subject to density-dependent growth. Finally, we discuss the implications of these results and consider the practical use of our findings by conservationists.

University of Tasmania (AU), International Institute for Applied Systems Analysis (AT), York University (CA), University of Exeter (GB), University of Cambridge (GB), Stockholm Environment Institute (SE)
Mathematical and Theoretical Epidemiology and Ecology Models
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