Prediction of the minimum effective size of a population viable in the long term

Author:

Pérez-Pereira NoeliaORCID,Wang JinliangORCID,Quesada HumbertoORCID,Caballero ArmandoORCID

Abstract

AbstractThe establishment of the minimum size for a viable population (MVP) has been used as a guidance in conservation practice to determine the extinction risks of populations and species. A consensus MVP rule of 50/500 individuals has been attained, according to which a minimum effective population size of Ne = 50 is needed to avoid extinction due to inbreeding depression in the short term, and of Ne = 500 to survive in the long term. However, the large inbreeding loads (B) usually found in nature, as well as the consideration of selection affecting genetic diversity, have led to a suggestion that those numbers should be doubled (100/1000). Purging of deleterious mutations can also be a main factor affecting the suggested rules. In a previous simulation study, the reduction of B by the action of purging pointed towards an MVP intermediate between the two rules for short term survival. Here, we focused on the consequences of purging in the establishment of MVPs for long term survival. We performed computer simulations of populations under the action of purging, drift, new mutation, and environmental effects on fitness to investigate the extinction times and the loss of genetic diversity for a range of effective population sizes. Our results indicate that purging can reduce the MVP needed for a population to persist in the long term, with estimates close to Ne = 500 for species with moderately large reproductive rates. However, MVP values appear to be of at least Ne = 1000 when the species´ reproductive rates are low.

Funder

Agencia Estatal de Investigación

Xunta de Galicia

Centro Singular de Investigación de Galicia

European Regional Development Fund

Fondos Feder “Unha maneira de facer Europa”

Ministerio de Educación, Cultura y Deporte

Universidade de Vigo

Publisher

Springer Science and Business Media LLC

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

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