| Literature DB >> 35813916 |
Boudjéma Samraoui1,2, Yves Kayser3, Laïd Touati1,4, Farrah Samraoui1, Abdennour Boucheker1,2, Hamed A El-Serehy5, Kenz Raouf Samraoui6,7.
Abstract
How environmental changes are affecting bird population dynamics is one of the most challenging conservation issues. Dietary studies of top avian predators could offer scope to monitor anthropogenic drivers of ecosystem changes. We investigated the diet of breeding Eleonora's falcon in an area of Northeastern Algeria in the years 2010-2012. Feathers and insect remains originating from prey plucking behavior were analyzed, providing insights into the seasonally changing diet of this raptor, as well as the trans-Mediterranean avian migration. A total of 77 species of birds (16 Sylviidae, 11 Turdidae, and 4 Emberizidae), 3 species of insects, and 1 lizard were identified among prey remains, reflecting a diverse diet. Diet composition and prey abundance varied seasonally, faithfully correlating with the passage of migrant birds as recorded from bird ring recoveries. Our findings suggest that dietary studies of predators might be deployed to investigate changes in bird migration. We discuss our results in the context of trans-Mediterranean migration, with early-season prey mainly comprising trans-Saharan migrants (Apus apus and Merops apiaster) and late-season prey being dominated by Mediterranean winter migrants (Erithacus rubecula, Turdus philomelos, Sylvia atricapilla, and Sturnus vulgaris). Notably, we observed a significant reduction in species richness of passerine remains in 2012, potentially highlighting a decline in the diversity of avian migrants.Entities:
Keywords: autumn migration; diet; passerine; trans‐Mediterranean migration; trans‐Saharan migrants
Year: 2022 PMID: 35813916 PMCID: PMC9254077 DOI: 10.1002/ece3.9065
Source DB: PubMed Journal: Ecol Evol ISSN: 2045-7758 Impact factor: 3.167
FIGURE 1The Western Mediterranean Basin showing the location of the islet of Kef Amor, Northeastern Algeria
Sampling dates at Kef Amor during three breeding seasons (2010–2012) with number of samples shown in parentheses
| 2010 | 2011 | 2012 |
|---|---|---|
| 12 September (49) | 13 September (53) | 20 July (1) |
| 18 September (38) | 28 September (23) | 27 July (8) |
| 30 September (29) | 5 October (19) | 3 August (8) |
| 8 October (20) | 11 August (15) | |
| 17 August (21) | ||
| 26 August (27) | ||
| 30 August (20) | ||
| 6 September (23) | ||
| 11 September (25) | ||
| 18 September (24) | ||
| 26 September (24) | ||
| 3 October (23) | ||
| 10 October (23) | ||
| 17 October (20) | ||
| 24 October (20) |
FIGURE 2Abundances of the 20 most common bird migrants captured by Eleonora's falcon at Kef Amor during the study period (2010–2012)
FIGURE 3Annual variation in species richness of avian prey items per sample at Kef Amor (a). Weekly variation in species richness of avian prey items at Kef Amor from 20 July to 24 October 2012 (b). Sample size is given in parentheses
FIGURE 4Eleonora's falcon with its nestlings (a), a “larder” stocked with European robins (b), and an intact song thrush kept for later consumption (c)
FIGURE 5Distinct autumn migratory phenology exhibited by passerines preyed upon by Eleonora's falcon at Kef Amor. Two passerines were selected to represent each category: early (July and August) long‐distance migrants (a); mid‐season (end August–early October) long‐distance migrants (b); late‐season (end September–late October) medium‐ and short‐distance migrants (c); and migrant birds preyed upon across almost the entire breeding period (d)
Summary of linear regression model of Kef Amor sample dates for 16 passerines using Baltic Sea passage date (Sokolov et al., 1999) as a predictor variable
| Parameter | Estimate | SE |
|
|---|---|---|---|
| Intercept | 193.69 | 28.03 | 7.22e−06 |
| Baltic Sea dates | 0.31 | 0.11 | .01 |
FIGURE 6Relationship between mean passage data at the Baltic Sea (Sokolov et al., 1999) and mean prey capture date at Kef Amor in 2012 for 16 migratory songbirds. The blue line and shaded area represent a fitted linear regression and 95% confidence interval for the mean, respectively