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Felled trap trees as the traditional method for bark beetle control: Can the trapping performance be increased?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F17%3A75553" target="_blank" >RIV/60460709:41320/17:75553 - isvavai.cz</a>

  • Alternative codes found

    RIV/62156489:43410/17:43912729

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.foreco.2017.08.019" target="_blank" >http://dx.doi.org/10.1016/j.foreco.2017.08.019</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.foreco.2017.08.019" target="_blank" >10.1016/j.foreco.2017.08.019</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Felled trap trees as the traditional method for bark beetle control: Can the trapping performance be increased?

  • Original language description

    Felled trap trees have been traditionally used to control bark beetles in central Europe. There is, however, little research on the method and on factors affecting trap tree performance. We therefore evaluated the effect of felling date, tree diameter, site shading, and weather conditions on the pattern of trap tree infestation by bark beetles. An experiment was conducted at two localities with contrasting forest damage rates and bark beetle outbreak phases in the Czech Republic during three periods - December to April of 2004-2005, 2005 2006, and 2006-2007. For each of the three periods, eight dates of trap tree felling were equally spaced. On each date and at each locality, 5-7 trees located at the open forest edge were felled (295 trap trees in total). The number of Ips typographus (Linnaeus, 1758) entry holes per dm counted in May each year was used as the response variable. Neural network-based regression models were used to identify the variables that most affected trapping performance. The eff

  • 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

    40102 - Forestry

Result continuities

  • Project

    <a href="/en/project/QJ1220317" target="_blank" >QJ1220317: Integrated assessment of insect pests and fungal pathogens impact on spruce stands in the Czech Republic as a support for their operative management</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

    Forest Ecology and Management

  • ISSN

    0378-1127

  • e-ISSN

  • Volume of the periodical

    404

  • Issue of the periodical within the volume

    2017

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    9

  • Pages from-to

    165-173

  • UT code for WoS article

    000413384000016

  • EID of the result in the Scopus database

    2-s2.0-85028560743