Published January 1, 2021
| Version v1
Journal article
Open
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
Creators
- 1. Univ Szczecin, Inst Biol, 13 Waska St, PL-71415 Szczecin, Poland
- 2. Adam Mickiewicz Univ, Fac Biol, Dept Systemat & Environm Bot, Lab Biol Spatial Informat, Uniwersytetu Poznanskiego 6, PL-61614 Poznan, Poland
- 3. Univ Szczecin, Inst Marine & Environm Sci, PL-70383 Szczecin, Poland
- 4. Adam Mickiewicz Univ, Inst Geoecol & Geoinformat, 10 Krygowskiego St, PL-61680 Poznan, Poland
- 5. Madeira Univ, Fac Life Sci, Campus Univ,Penteada, P-9020105 Funchal, Portugal
- 6. Univ Worcester, Sch Sci & Environm, Worcester WR2 6AJ, England
- 7. Univ Leicester, Dept Resp Sci, Inst Lung Hlth, Leicester LE1 7RH, Leics, England
- 8. Natl Pirogov Mem Med Univ, Vinnytsia, Ukraine
- 9. Kastamonu Univ, Arts & Sci Fac, Dept Biol, TR-37100 Kastamonu, Turkey
Description
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 concentrations were cross-examined between sites using a selection of statistical tools including HYSPLIT and random forest models. Our results showed that spore concentrations were higher in Northern and Central Europe than in South Europe and SW Asia. High and unusually high spore concentrations (> 90th and > 98th percentile, respectively) were partially associated with long distance transported spores: at least 33% of Ganoderma spores recorded in Madeira during days with high concentrations originated from the Iberian Peninsula located >900 km away. Random forest models developed on local meteorological data performed better in sites where the contribution of long distance transported spores was lower. We found that high concentrations were recorded in sites with low host density (Leicester, Worcester), and low concentrations in Kastamonu with high host density. This suggests that south European and SW Asian forests may be less severely affected by Ganoderma. This study highlights the effectiveness of monitoring airborne Ganoderma spore concentrations as a tool for assessing local Ganoderma pathogen infection levels. (c) 2021 Elsevier B.V. All rights reserved.
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