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Using a three-isotope Bayesian mixing model to assess the contribution of refuse dumps in the diet of the yellow-legged gull Larus michahellis
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SUMMARY.¿ The yellow-legged gull Larus michahellis is usually considered as an opportunistic species that depends on food derived from anthropogenic activity, such as garbage and fishery discards. However, although it has become a problematic species in many Mediterranean countries, there is stillno information about its status in Tunisia. The aim of this work was to assess the differential use of marine and terrestrial resources by the yellow-legged gulls breeding in an urban area on Chikly Island. Dietary reconstructions were performed through the analysis of regurgitates and δ13C, δ34S and δ15N of feathers of fledglings. Contrary to most Mediterranean breeding colonies, and to our expectations, the mixing model showed that yellow-legged gulls from Chikly are above all marine foragers. Whereas the Lake of Tunis was the principal source of food in 2005 and 2007, chicks from 2006 were fed mainly with prey from the Gulf of Tunis. Although the Gulf is located further from the breeding colony and has less fishing activity than the Lake, our study demonstrated that it is used as an alternative foraging habitat. The Bayesian mixing model approach proved to be a useful tool for evaluating temporal variations in the feeding ecology of the colony, which is relevant information in the management of a wild species. This study also demonstrated the importance of isotopic variability among years for inferring diet diversity and food availability for the colony, thereby allowing demographic forecasts when trophic resources vary in abundance or the foraging habitat is disturbed.
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ABDENNADHER, Aida, RAMÍREZ BENÍTEZ, Francisco josé, ROMDHANE, Mohamed salah, JOVER ARMENGOL, Lluís de, SANPERA TRIGUEROS, Carola. Using a three-isotope Bayesian mixing model to assess the contribution of refuse dumps in the diet of the yellow-legged gull Larus michahellis. _Ardeola_. 2014. Vol. 61, núm. 2, pàgs. 297-309. [consulta: 14 de gener de 2026]. ISSN: 0570-7358. [Disponible a: https://hdl.handle.net/2445/165605]