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    Species distribution models as a useful tool in conservation programs: the case of the Northern Bald Ibis

    • Autor
      Chamorro Sierra, Dario; Benítez-Barrios, Isabel; Muñoz-Gallego, Antonio RománAutoridad Universidad de Málaga; Real-Giménez, RaimundoAutoridad Universidad de Málaga
    • Fecha
      2018-06-26
    • Palabras clave
      Ibis eremita
    • Resumen
      The Northern Bald Ibis (Geronticus eremita) is one of the most endangered species on the planet. Over the last century, the species had suffered an extreme decline in its population size, and is now considered to be critically endangered. Nowadays, the original distribution range of the species is restricted to the Agadir region in Morocco. In Europe the species is only present in Spain and Austria, and this is due to two different conservation projects with introduced animals born and raised in captivity. The aim of this project is to characterize those past and present areas used by the Northern Bald Ibis in their natural distribution in Morocco, identifying the most favorable areas for the assessment of the species in Morocco and also for making it possible to reintroduce this species to Europe. We used species distribution models with a presence/absence database obtained from bibliography and a set of environmental variables. Spatial variables were combined obtaining a trend surface variable, which is a purely spatial descriptor of the cohesion trend in the distribution of the species regarding its history and population dynamics. Another model was built using only environmental variables to identify those areas which are favorable for the species in relation to the environment, without the effects of the population's cohesion trend. Obtained models classified the areas into 'favorable', 'unfavorable' or 'uncertain'. In the case of Andalusia, introduced individuals have moved to favorable places in the North of Morocco, where the species was not present in the past. Moreover, for the first time there have been new records of this species on the occidental coast of Morocco, where the models also predict a maximum in the favorability. This methodology could be used to detect the best places to introduce new individuals or to create protected areas.
    • URI
      https://hdl.handle.net/10630/16018
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    Chamorro et al 2018 abstract ECCB.pdf (13.16Kb)
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    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA