All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Potential risk of occurrence of Phytophthora alni in forests of the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027073%3A_____%2F16%3AN0000067" target="_blank" >RIV/00027073:_____/16:N0000067 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.tandfonline.com/doi/full/10.1080/17445647.2016.1198996" target="_blank" >http://www.tandfonline.com/doi/full/10.1080/17445647.2016.1198996</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/17445647.2016.1198996" target="_blank" >10.1080/17445647.2016.1198996</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Potential risk of occurrence of Phytophthora alni in forests of the Czech Republic

  • Original language description

    Phytophthora alni is an invasive organism that causes root and collar rot in alders, which significantly damages the forest and riparian vegetation of alder trees in Central and Western Europe. In the Czech Republic, this pathogen was first confirmed in 2001, and since then it has been gradually spreading from the west to the east. Here, we applied a model of potential distribution that estimates the level and spatial variability of the pathogen occurrence and spread risk for Czech Republic forests to target the early detection and control the further invasion of P. alni in this region. Our predictions are based on a rigorous statistical analysis of data obtained from field survey as well as available geodatabases. We used two sets of predictor variables describing (i) the forest stands and (ii) neighbourhood of the stands, and generalized linear modelling with forward stepwise selection of predictors. The results of statistical analysis showed the significant effect of the area of the forest stand, forest vegetation zone, presence of watercourse and area of alder stands in the neighbourhood on the probability of occurrence of P. alni in the study region. The map derived based on the final model shows the potential risk of occurrence and impact of P. alni in forests of the Czech Republic as classified on a five-point scale ranging from very low risk for alder stands with a low level of likely invasion to very sensitive alder stands with high probability of pathogen occurrence and high levels of damage. This is a unique output not only for the Czech Republic but also throughout Europe.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    GK - Forestry

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/QJ1220219" target="_blank" >QJ1220219: Economical aspect of Phytophthora alni invasion in the context of climatic change</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Maps

  • ISSN

    1744-5647

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    Supplement 1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    5

  • Pages from-to

    280-284

  • UT code for WoS article

    000388817100034

  • EID of the result in the Scopus database