Your browser doesn't support javascript.
loading
Quantifying the effect of genetic, environmental and individual demographic stochastic variability for population dynamics in Plantago lanceolata.
Steiner, Ulrich K; Tuljapurkar, Shripad; Roach, Deborah A.
Afiliación
  • Steiner UK; Institute of Biology, Freie Universität Berlin, Berlin, Germany. ulrich.steiner@fu-berlin.de.
  • Tuljapurkar S; Department of Biology, Stanford University, Stanford, CA, USA.
  • Roach DA; Department of Biology, University of Virginia, Charlottesville, VA, USA.
Sci Rep ; 11(1): 23174, 2021 11 30.
Article en En | MEDLINE | ID: mdl-34848768
ABSTRACT
Simple demographic events, the survival and reproduction of individuals, drive population dynamics. These demographic events are influenced by genetic and environmental parameters, and are the focus of many evolutionary and ecological investigations that aim to predict and understand population change. However, such a focus often neglects the stochastic events that individuals experience throughout their lives. These stochastic events also influence survival and reproduction and thereby evolutionary and ecological dynamics. Here, we illustrate the influence of such non-selective demographic variability on population dynamics using population projection models of an experimental population of Plantago lanceolata. Our analysis shows that the variability in survival and reproduction among individuals is largely due to demographic stochastic variation with only modest effects of differences in environment, genes, and their interaction. Common expectations of population growth, based on expected lifetime reproduction and generation time, can be misleading when demographic stochastic variation is large. Large demographic stochastic variation exhibited within genotypes can lower population growth and slow evolutionary adaptive dynamics. Our results accompany recent investigations that call for more focus on stochastic variation in fitness components, such as survival, reproduction, and functional traits, rather than dismissal of this variation as uninformative noise.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Asunto principal: Plantago / Cruzamientos Genéticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Asunto principal: Plantago / Cruzamientos Genéticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Alemania
...