Modelling growth rates and developing an age determination tool for nestling Bonelli's Eagle <i>Aquila fasciata</i>

Abstract Understanding the growth rate of nestlings is essential for explaining developmental strategies and is particularly important for birds of prey. Given that they have lower reproduction rates than other species, the growth rate could be one of the critical factors determining parental fitness and influencing the individual's condition. Despite variability often resulting from various stress conditions, the growth rate is predictable for given ages of nestlings, as highlighted here. This study investigates the growth dynamics of Bonelli's Eagle ( Aquila fasciata ) nestlings in the Republic of Cyprus, focusing on 13 biometric variables measured over time. We employed logistic and generalized additive models to analyse growth trajectories and identify predictors of age. Our findings highlight that nestlings achieve maximum growth rates in body mass and tarsus length early in development, followed by primary feathers and wing length. Conversely, head width, beak dimensions, and talon length exhibit slower and more gradual growth. Precisely describing the rate and pattern of growth of individual body components enabled us to develop a tool for predicting age. We found that wing, tarsus, and middle talon lengths are the most reliable predictors of nestling age. The effectiveness test of our predictive model conducted on an independent data set showed that the age estimation error is 1 day. Thus, our research provides a deep insight into the eagles’ developmental patterns while offering practical tools for field studies and conservation efforts.

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Publication Details

Journal
Annals of Applied Biology
Published
2025-03-13
DOI
https://doi.org/10.1111/aab.70002
Citations
1
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.80
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article

Modelling growth rates and developing an age determination tool for nestling Bonelli's Eagle Aquila fasciata

Jakub Z. Kosicki, Reuven Yosef, Dimitrios E. Bakaloudis, Savvas Iezekiel et al.
1 citations
Annals of Applied Biology
Remote Sensing and LiDAR Applications
0.80
article

Modelling growth rates and developing an age determination tool for nestling Bonelli's Eagle Aquila fasciata

Jakub Z. Kosicki, Reuven Yosef, Dimitrios E. Bakaloudis, Savvas Iezekiel, Christos Vlachos
article en
1 citations

Abstract

Abstract Understanding the growth rate of nestlings is essential for explaining developmental strategies and is particularly important for birds of prey. Given that they have lower reproduction rates than other species, the growth rate could be one of the critical factors determining parental fitness and influencing the individual's condition. Despite variability often resulting from various stress conditions, the growth rate is predictable for given ages of nestlings, as highlighted here. This study investigates the growth dynamics of Bonelli's Eagle ( Aquila fasciata ) nestlings in the Republic of Cyprus, focusing on 13 biometric variables measured over time. We employed logistic and generalized additive models to analyse growth trajectories and identify predictors of age. Our findings highlight that nestlings achieve maximum growth rates in body mass and tarsus length early in development, followed by primary feathers and wing length. Conversely, head width, beak dimensions, and talon length exhibit slower and more gradual growth. Precisely describing the rate and pattern of growth of individual body components enabled us to develop a tool for predicting age. We found that wing, tarsus, and middle talon lengths are the most reliable predictors of nestling age. The effectiveness test of our predictive model conducted on an independent data set showed that the age estimation error is 1 day. Thus, our research provides a deep insight into the eagles’ developmental patterns while offering practical tools for field studies and conservation efforts.

Annals of Applied BiologyVol. 187(1)
Ben-Gurion University of the Negev (IL), Aristotle University of Thessaloniki (GR), Ministry of Agriculture, Natural Resources and Environment (CY), Adam Mickiewicz University in Poznań (PL)
Openalex Percentile: Top 32%
Remote Sensing and LiDAR Applications
0.80
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