Ecol Res DOI 10.1007/s11284-008-0527-8 ORIGINAL ARTICLE

Abstract We analyzed the environmental determinants of the regional distribution of Bonelli’s eagle (Aquila fasciata) in Spain (ca. 500,000 km 2), taking into account its frequency of occurrence on UTM blocks of 50 · 50 km. We found that the distribution pattern of Bonelli’s eagle was a highly predi...

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Bibliographic Details
Main Authors: Luis M. Carrascal, Æ Javier Seoane, L. M. Carrascal, J. Seoane
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2008
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.3154
http://lifebonelli.ceai.pt/biblioteca/artigos/LargeScaleDistribution_AfasciataSpain.pdf
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Summary:Abstract We analyzed the environmental determinants of the regional distribution of Bonelli’s eagle (Aquila fasciata) in Spain (ca. 500,000 km 2), taking into account its frequency of occurrence on UTM blocks of 50 · 50 km. We found that the distribution pattern of Bonelli’s eagle was a highly predictable phenomenon based on climate, vegetation and interspecific relationships. The proportion of sunny, anticyclonic days, per year (i.e., high levels of solar radiation) was the main environmental predictor explaining the distribution and abundance pattern of the Bonelli’s eagle. Sparse plant formations (mainly shrublands) had also a positive effect, while altitude, agricultural land and deciduous forests had a negative influence. The relative abundance of one of its main preys, the Red Partridge (Alectoris rufa), favored the probability of occurrence of Bonelli’s eagle, but only in the less sunny areas located in the north of Spain. The relative abundance of its main competitor, the Golden eagle (Aquila chrysaetos), was slightly but positively correlated with both the distribution and the abundance of the Bonelli’s eagle in the Spanish portion of the Iberian Peninsula, probably due to similarities in their habitat preferences. Finally, we did not find further regional effects of the variables describing the degree of human pressure (density of roads, urban cover, and length of power lines).