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How sunrise and weather affect timing of rooks’ (Corvus frugilegus) morning departure from the winter communal roost

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081766%3A_____%2F17%3A00488422" target="_blank" >RIV/68081766:_____/17:00488422 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.25225/fozo.v66.i4.a3.2017" target="_blank" >http://dx.doi.org/10.25225/fozo.v66.i4.a3.2017</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.25225/fozo.v66.i4.a3.2017" target="_blank" >10.25225/fozo.v66.i4.a3.2017</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    How sunrise and weather affect timing of rooks’ (Corvus frugilegus) morning departure from the winter communal roost

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10613 - Zoology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Folia zoologica

  • ISSN

    0139-7893

  • e-ISSN

  • Volume of the periodical

    66

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    4

  • Pages from-to

    227-230

  • UT code for WoS article

    000447292200002

  • EID of the result in the Scopus database

    2-s2.0-85044213406