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Environmental and Silvicultural Characteristics Influencing the Extent of Ash Dieback in Forest Stands

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027073%3A_____%2F17%3AN0000010" target="_blank" >RIV/00027073:_____/17:N0000010 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.balticforestry.mi.lt/bf/PDF_Articles/2017-23%5B1%5D/Baltic%20Forestry%202017.1_168-182.pdf" target="_blank" >https://www.balticforestry.mi.lt/bf/PDF_Articles/2017-23%5B1%5D/Baltic%20Forestry%202017.1_168-182.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Environmental and Silvicultural Characteristics Influencing the Extent of Ash Dieback in Forest Stands

  • Original language description

    Extensive investigation of the impact of ash dieback in forest stands in the Czech Republic was conducted in 2013. Data on the defoliation of ash trees were collected from 1169 forest stands within the entire area of the Czech Republic. A set of 37 variables acquired from different databases (State Forests, GIS, Digital Terrain Model) describing silvicultural, environmental and landscape characteristics were used as explanatory variables.A generalized linear model (GLM) explained nearly 26% of the disease data variability. In the model, the extent of the disease was positively affected by the density of stocking, site class, vertical terrain heterogeneity, temperature and the presence and width of watercourse and negatively affected by mean tree height, the altitudinal zone of the forest, and the distance to the nearest ash stand. The model confirmed an important role of tree species composition of stands with ash. The disease extent was the highest in the presence of Quercus robur and the lowest in presence of Acer spp. and Abies spp. This finding is probably due to the different chemical composition of mixed litter and the leaching and translocation of nutrients from maple litter into ash petioles, which could accelerate decomposition, whereas fungistatic tannins and secondary metabolites from fir litter could inhibit microbial growth. The extent of the disease also significantly differed according to edaphic series of forests, and GLM models were successfully developed for them. These models differed from each other and explained 23–37% of disease variability; other factors influencing disease extent were also determined: distance to water, SD of slope, ash area, standing volume, aspect, TPI, landforms and the presence of other tree taxa such as Pinus spp., Quercus petraea, Fagus sylvatica and Betula pendula.The results indicated that the disease extent is substantially affected by environmental and stand characteristics and that the development of effective forest management strategies to address the epidemic in European forests (at least in central Europe) is possible.

  • 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

    40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • 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

    Baltic Forestry

  • ISSN

    1392-1355

  • e-ISSN

    2029-9230

  • Volume of the periodical

    23

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    LT - LITHUANIA

  • Number of pages

    15

  • Pages from-to

    168-182

  • UT code for WoS article

    000409024600019

  • EID of the result in the Scopus database