Your browser doesn't support javascript.
loading
Keystone individuals - linking predator traits to community ecology.
LaBarge, Laura R; Krofel, Miha; Allen, Maximilian L; Hill, Russell A; Welch, Andreanna J; Allan, Andrew T L.
Afiliación
  • LaBarge LR; Comparative Socioecology Group, Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Konstanz, Germany. Electronic address: lrlabarge@gmail.com.
  • Krofel M; Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.
  • Allen ML; Illinois Natural History Survey, Prairie Research Institute, University of Illinois, Champaign, IL, USA.
  • Hill RA; Department of Anthropology, Durham University, Durham, UK; Department of Biological Sciences, Faculty of Science, Engineering and Agriculture, University of Venda, Thohoyandou, South Africa.
  • Welch AJ; Department of Biosciences, Durham University, Durham, UK.
  • Allan ATL; Department of Anthropology, Durham University, Durham, UK. Electronic address: andrewtlallan@hotmail.com.
Trends Ecol Evol ; 2024 Jul 26.
Article en En | MEDLINE | ID: mdl-39068138
ABSTRACT
Individual behavioral plasticity enables animals to adjust to different scenarios. Yet, personality traits limit this flexibility, leading to consistent interindividual differences in behavior. These individual behavioral traits have the potential to govern community interactions, although testing this is difficult in complex natural systems. For large predators who often exert strong effects on ecosystem functioning, this behavioral diversity may be especially important and lead to individualized ecosystem roles. We present a framework for quantifying individual behavioral plasticity and personality traits of large wild predators, revealing the extent to which certain natural behaviors are governed by these latent traits. The outcomes will reveal how the innate characteristics of wildlife can scale up to affect community interactions.
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Trends Ecol Evol Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Trends Ecol Evol Año: 2024 Tipo del documento: Article