Abundance of Ganoderma sp. in Europe and SW Asia: modelling the pathogen infection levels in local trees using the proxy of airborne fungal spore concentrations
 
Yazarlar (12)
Agnieszka Grinn-Gofroń
Uniwersytet Szczecinski, Polonya
Paweł Bogawski
Uniwersytet İm. Adama Mickiewicza W Poznaniu, Polonya
Beata Bosiacka
Uniwersytet Szczecinski, Polonya
Jakub Nowosad
Uniwersytet İm. Adama Mickiewicza W Poznaniu, Polonya
Irene Camacho
Universidade Da Madeira, Portekiz
Magdalena Sadyś Hereford & Worcester Fire And Rescue Service Headquarters, İngiltere
Carsten Ambelas Skjøth University Of Worcester, İngiltere
Catherine Helen Pashley
University Of Leicester, İngiltere
Victoria Rodinkova
National Pirogov Memorial Medical University, Vinnytsya, Ukrayna
Prof. Dr. Talip ÇETER Kastamonu Üniversitesi, Türkiye
Claudia Traidl-Hoffmann Universität Augsburg, Almanya
Athanasios Damialis Universität Augsburg, Almanya
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Science of the Total Environment (Q1)
Dergi ISSN 0048-9697 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Türkçe Basım Tarihi 01-2021
Cilt / Sayı / Sayfa 793 / 1 / 1–16 DOI 10.1016/j.scitotenv.2021.148509
Makale Linki http://dx.doi.org/10.1016/j.scitotenv.2021.148509
UAK Araştırma Alanları
Mikoloji Mikrobiyoloji
Özet
Ganoderma comprises a common bracket fungal genus that causes basal stem rot in deciduous and coniferous trees and palms, thus having a large economic impact on forestry production. We estimated pathogen abundance using long-term, daily spore concentration data collected in five biogeographic regions in Europe and SW Asia. We hypothesized that pathogen abundance in the air depends on the density of potential hosts (trees) in the surrounding area, and that its spores originate locally. We tested this hypothesis by (1) calculating tree cover density, (2) assessing the impact of local meteorological variables on spore concentration, (3) computing back trajectories, (4) developing random forest models predicting daily spore concentration. The area covered by trees was calculated based on Tree Density Datasets within a 30 km radius from sampling sites. Variations in daily and seasonal spore …
Anahtar Kelimeler
Aerobiology | Backward trajectories | Fungal spores | Long-distance transport | Phytopathogen monitoring | Random forest model