Memorias de investigación
Ponencias en congresos:
A Bayesian state temporal model for estimating wild boar dynamic population in a hunting estate
Año:2014

Áreas de investigación
  • Estadística,
  • Ganadería y pesca

Datos
Descripción
This paper deals with a Bayesian state temporal model to estimate wild boar abundance and demographic parameters such as survival rates, intrinsic growth rates and hunting efficiency for an Mediterranean hunting estate. Based on annual wild boar captures from 1995 to 2008, a Bayesian model is built where population abundance is estimated by a reverse-time multinomial Cormack-Jolly- Seber model. In this model some climatic productivity and temperature are predictive factors of the population birth-rate and the intrinsic growth. As a result, a wildboard population dynamic model was obtained, which provides a more adjusted performance of hunting activities, providing a key tool to develop a better hunting management plan.
Internacional
Si
Nombre congreso
Joint METMAVII and GRASPA14Workshop
Tipo de participación
960
Lugar del congreso
Torino (Italy)
Revisores
Si
ISBN o ISSN
DOI
Fecha inicio congreso
10/09/2014
Fecha fin congreso
12/09/2014
Desde la página
1
Hasta la página
6
Título de las actas

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Joaquin Solana Gutierrez UPM
  • Autor: L Thomas Centre for Research into Ecological and Environmental Modelling, School of Mathematics and Statistics, University of St Andrews, St Andrews, UK

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Hidrobiología
  • Departamento: Ingeniería y Gestión Forestal y Ambiental