A simple topographical model to predict Golden Eagle Aquila chrysaetos space use during dispersal. (13th March 2019)

• Record Type: Journal Article
• Authors: Fielding, Alan H.; Haworth, Paul F.; Anderson, David; Benn, Stuart; Dennis, Roy; Weston, Ewan; Whitfield, D. Philip
• Is Part Of: Ibis. Volume 162:Number 2(2020)
• Page Start: 400
• Page End: 415
• Publication Date: 2019-03-13
• Subjects: habitat selection -- habitat use model -- topography -- GPS telemetry -- satellite tag -- raptor biology -- juvenile dispersal; Birds -- Periodicals; 598
• DOI: 10.1111/ibi.12718
• Languages: English
• ISSNs: 0019-1019

Abstract

Abstract : Many large raptors exploit or rely on anabatic and orographic winds which provide vertical lift, to supplement or provide the energy fuelling flight. Airspace is therefore a critical habitat for such large raptors and its use is subject to the underlying terrestrial topography, because particular topographical features are more likely to provide wind‐energetic lift. Accordingly, ridges and/or 'rugged topography' are common preferred features in habitat use by large raptors. Our study aimed to provide a simple model of space use for a large raptor, the Golden Eagle Aquila chrysaetos, based on thousands of GPS telemetry records during juvenile dispersal of 92 birds tagged as nestlings between 2007 and 2016 across upland Scotland. Model development was based on the hypothesis that four topographical variables would be influential: slope, aspect, altitude and distance from ridge. The telemetry dataset was divided into training and two testing components. The first testing set was derived by a temporal split resulting in approximately equal sample size on records and some temporal overlap in individuals' records with training data. The second testing set involved no individuals from the training set. Aspect was removed early in training model development because it was not influential. The model found that young Golden Eagles preferred, or used according to availability, space above slopes greater than 10°, at an altitude of ≥ 300 m, and within 300 m of a ridge. The test data were highly correlated with those from the training data in the model variables, and performance as regard to expected preferences from the model was improved in both test datasets, indicating the model was robust. Given the apparent universal nature of large raptor dependence on topography, that topography is relatively immutable according to time and use, and that topographical data are readily available, we commend our approach to other habitat preference studies of Golden Eagles and other large raptors elsewhere.