HUBÁLEK, Zdeněk. How sunrise and weather affect timing of rooks (Corvus frugilegus) morning departure from the winter communal roost. Folia Zoologica. Česká zemědělská univerzita v Praze, 2017, vol. 66, No 4, p. 227-230. ISSN 0139-7893. Available from: https://dx.doi.org/10.25225/fozo.v66.i4.a3.2017.
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Basic information
Original name How sunrise and weather affect timing of rooks (Corvus frugilegus) morning departure from the winter communal roost.
Name in Czech Jak východ slunce a meteorologické proměnné ovlivňují časování ranního rozletu havranů (Corvus frugilegus) z hromadného zimního nocoviště. zimního
Authors HUBÁLEK, Zdeněk.
Edition Folia Zoologica, Česká zemědělská univerzita v Praze, 2017, 0139-7893.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10600 1.6 Biological sciences
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 0.467
Organization unit Faculty of Science
Doi http://dx.doi.org/10.25225/fozo.v66.i4.a3.2017
UT WoS 000447292200002
Keywords (in Czech) havran, chronobiologie, zimní nocoviště, rozlet časování, slunce, počasí
Keywords in English rook, communal roosting, chronobiology, departure timing, sunrise, weather effects,
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 8/4/2020 14:57.
Abstract
The pattern of morning departure of rooks (Corvus frugilegus) from large communal roosts in winter is regular though it is affected by several environmental (weather) variables. A total of 151 records of the morning departure of rooks (and associated jackdaws, Corvus monedula) from two large communal roosts in the Czech Republic during the years 1966 to 1974 were analyzed. On average, the birds departed 36 min before local sunrise and 1.5 min after beginning of local civil twilight. Light intensity was the leading factor that explained 60 % of variability of the departure time. Cloud cover 30 min before sunrise, being interrelated with the light intensity at local sunrise, explained 52 % of the variability. Less important but significant factors were several weather variables such as precipitation, relative humidity of the air, horizontal visibility (fog), snow cover, and air temperature. Two best predictive multivariate regression models for timing of the birds' departure involved factors: light intensity (that accelerated the departure) or inter-related cloud cover before sunrise (it delayed the departure), precipitation (delaying the departure), snow cover (accelerating the departure due to increased food demand), and horizontal visibility (fog delayed the departure). The two predictive multivariate models explained together 75 % of variability of the birds' departure in relation to beginning of local civil twilight.
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