Journal
IBIS
Volume 164, Issue 1, Pages 255-266Publisher
WILEY
DOI: 10.1111/ibi.13012
Keywords
cliff-nesting raptors; human disturbance; nest-sites; obligate scavengers; productivity
Categories
Funding
- project LIFE Under Griffon Wings -Implementation of Best Practices to Rescue Griffon Vultures in Sardinia [LIFE14/NAT/IT/000484]
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Old World vultures, specifically the Griffon Vulture in northern Sardinia, are facing population declines and extinction threats. Through analyzing environmental variables, it was found that high wind speed, lack of natural shelters, shrub and pasture vegetation, low human disturbance, and low precipitation are key factors influencing breeding success in these vultures.
Old World vultures are experiencing dramatic population declines and now are among the species most threatened with extinction. Understanding the environmental variables that can influence the reproductive indexes of vulture populations can facilitate both habitat and species management. The aim of this study was to identify which environmental variables primarily affect the breeding successes of the Griffon Vulture Gyps fulvus in northern Sardinia by applying a Bayesian hierarchical model. A unique dataset of reproductive records (197 nests monitored over 39 years for a total of 992 breeding records) was used. Eight environmental and topographical variables describing the habitat at the nesting sites were considered as potential predictors of breeding success. These included mean annual temperature, mean annual precipitation, isothermality, elevation, the normalized difference vegetation index, wind speed, and the aspect and slope of the land surface. In addition, we also considered the effect of human disturbance and the type of nest. According to our best model, the probability of successfully raising a chick in Griffon Vultures was higher in nests exposed to a high wind speed, not covered by natural shelters, where the vegetation was mostly represented by shrub and pastures, with low human disturbance and in years with low rainfall. This model will be useful for management of the breeding habitat and to identify the area most suitable for Griffon Vulture reproduction. This information is crucial for programming conservation measures aimed at enlarging the area of occupancy of the species.
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