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Combining Radio-telemetry and Radar Measurements to Test Optimal Foraging in an Aerial Insectivore Bird

Overview
Journal Elife
Date 2025 Jan 27
PMID 39869495
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Abstract

Optimal foraging theory posits that foragers adjust their movements based on prey abundance to optimize food intake. While extensively studied in terrestrial and marine environments, aerial foraging has remained relatively unexplored due to technological limitations. This study, uniquely combining BirdScan-MR1 radar and the Advanced Tracking and Localization of Animals in Real-Life Systems biotelemetry system, investigates the foraging dynamics of Little Swifts () in response to insect movements over Israel's Hula Valley. Insect movement traffic rate (MoTR) substantially varied across days, strongly influencing swift movement. On days with high MoTR, swifts exhibited reduced flight distance, increased colony visit rate, and earlier arrivals at the breeding colony, reflecting a dynamic response to prey availability. However, no significant effects were observed in total foraging duration, flight speed, or daily route length. Notably, as insect abundance increased, inter-individual distances decreased. These findings suggest that Little Swifts optimize their foraging behavior in relation to aerial insect abundance, likely influencing reproductive success and population dynamics. The integration of radar technology and biotelemetry systems provides a unique perspective on the interactions between aerial insectivores and their prey, contributing to a comprehensive understanding of optimal foraging strategies in diverse environments.

Citing Articles

Combining radio-telemetry and radar measurements to test optimal foraging in an aerial insectivore bird.

Bloch I, Troupin D, Toledo S, Nathan R, Sapir N Elife. 2025; 13.

PMID: 39869495 PMC: 11771959. DOI: 10.7554/eLife.96573.

References
1.
Hallmann C, Foppen R, van Turnhout C, de Kroon H, Jongejans E . Declines in insectivorous birds are associated with high neonicotinoid concentrations. Nature. 2014; 511(7509):341-3. DOI: 10.1038/nature13531. View

2.
Cvikel N, Egert Berg K, Levin E, Hurme E, Borissov I, Boonman A . Bats aggregate to improve prey search but might be impaired when their density becomes too high. Curr Biol. 2015; 25(2):206-211. DOI: 10.1016/j.cub.2014.11.010. View

3.
Roth 2nd T, Lima S . The predatory behavior of wintering Accipiter hawks: temporal patterns in activity of predators and prey. Oecologia. 2007; 152(1):169-78. DOI: 10.1007/s00442-006-0638-2. View

4.
Liechti F, Witvliet W, Weber R, Bachler E . First evidence of a 200-day non-stop flight in a bird. Nat Commun. 2013; 4:2554. DOI: 10.1038/ncomms3554. View

5.
Gupte P, Beardsworth C, Spiegel O, Lourie E, Toledo S, Nathan R . A guide to pre-processing high-throughput animal tracking data. J Anim Ecol. 2021; 91(2):287-307. PMC: 9299236. DOI: 10.1111/1365-2656.13610. View