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Local population decline of the threatened Lesser Grey Shrike Lanius minor is linked to the modernisation of the rural landscape

Published online by Cambridge University Press:  08 July 2024

Anton Krištín*
Affiliation:
Institute of Forest Ecology, Slovak Academy of Sciences, Zvolen, Slovakia
Herbert Hoi
Affiliation:
Konrad Lorenz Institute of Ethology, University of Veterinary Medicine, Vienna, Austria
Peter Kaňuch
Affiliation:
Institute of Forest Ecology, Slovak Academy of Sciences, Zvolen, Slovakia
*
Corresponding author: Anton Krištín; Email: kristin@ife.sk
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Summary

Landscape changes and the intensification of agriculture in recent centuries were largely responsible for the dramatic decline in the biodiversity of farmlands. Rural settlements have also been subject to radical changes due to modernisation, but their impact on bird populations is poorly quantified. The Lesser Grey Shrike Lanius minor is a threatened farmland bird and already extinct in many areas. We monitored a population of this long-distance migrant in a traditional farming area in the Poľana Mountains (central Slovakia) in three breeding seasons (1996, 2016, and 2021). We analysed the impact of the increase in number of modern habitations and the decrease in traditional farmsteads on the population decline. The number of breeding territories decreased from 73 in 1996 to 38 in 2016 and 22 in 2021. As the population has declined, the breeding area has also shrunk significantly. While there were no modern homesteads in the breeding territories in 1996, by 2021 their number had increased to the number of traditional farmsteads. Building a single modern house in a territory reduced the probability of nesting to about 6%, and this effect was also seen when one or two farms were still present (17% and 40%, respectively). An additional modern homestead in the territory reduced the nesting probability to almost zero, even if a farmstead was already present. In this long-term empirical study, we identified these changes as a local threat factor for the species studied. The results presented can help in the design and implementation of conservation measures in traditional farming landscapes.

Information

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of BirdLife International
Figure 0

Figure 1. Locations of 106 breeding territories of Lesser Grey Shrike Lanius minor in the study area near the town of Hriňová in central Slovakia and changes in the use of these territories in the three different years of the study. Territories that were occupied during the whole study period are marked with a cross. The change in the size of the breeding range over time is represented by the minimum convex polygons (95% home-range and 50% core-range). The photographs show a typical farmstead and a modern homestead in the study area (map source © Seznam.cz, photo from Google Street View).

Figure 1

Table 1. The presence (yes) and absence (no) of nesting in 106 breeding territories during three separate years of monitoring

Figure 2

Figure 2. The average number of traditional active farmsteads (farm) and modern homesteads (modern) with 95% confidence intervals in breeding territories of Lesser Grey Shrike Lanius minor, measured in a buffer of 50-m radius around the nest. Nesting refers to whether the territory was occupied or not in a given year.

Figure 3

Table 2. Odds ratios with 95% confidence intervals and P values of different logistic regression models with number of traditional active farmsteads (farm) and modern homesteads (modern) in a 50-m buffer around the nest tree as fixed factors (the first three models contained no interaction). Year was used as a fixed effect of an ordinal variable (models #1 and #3) or as a random effect factor (model #5)

Figure 4

Figure 3. (a) Prediction of nesting probability of Lesser Grey Shrike Lanius minor with 95% confidence intervals as a function of the number of traditional active farmsteads and modern homesteads (fixed factors) in the potential territory using the generalised linear mixed-effects model. (b) Random effect of the different years in this model.

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