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Predation on simulated duck nests in relation to nest density and landscape structure

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F10%3A00011809" target="_blank" >RIV/60076658:12310/10:00011809 - isvavai.cz</a>

  • Alternative codes found

    RIV/67179843:_____/10:00353690 RIV/68081766:_____/10:00353690

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predation on simulated duck nests in relation to nest density and landscape structure

  • Original language description

    We tested whether nest density increases the nest predation rate (density-dependent predation) in patches of littoral vegetation surrounding fishponds in two contrasting landscape types, the first dominated by forest and the other dominated by agricultural fields.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    EH - Ecology - communities

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LC06073" target="_blank" >LC06073: Biodiversity Research Center</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Wildlife Research

  • ISSN

    1035-3712

  • e-ISSN

  • Volume of the periodical

    37

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    AU - AUSTRALIA

  • Number of pages

    7

  • Pages from-to

  • UT code for WoS article

    000285392300008

  • EID of the result in the Scopus database