期刊
PLANT PATHOLOGY
卷 71, 期 9, 页码 1839-1848出版社
WILEY
DOI: 10.1111/ppa.13637
关键词
bacterial leaf scorch of shade trees; invasion risk assessment; Philaenus spumarius; Pierce's disease of grapevine; species distribution modelling
资金
- European Union Horizon 2020 research and innovation program [727987]
- French National Research Institute for Agriculture, Food and the Environment
This study calibrated correlative models to predict the potential range and severity of Xf-related diseases in future climates. The results indicate that Pierce's disease may become highly favorable in economically important wine-producing regions, emphasizing the need for control strategies. Additionally, the risk of bacterial leaf scorch of shade trees may increase in temperate regions where it is currently absent. However, there is uncertainty in the predictions due to high correlation among climatic variables and lack of knowledge about the climatic equilibrium of Xf-related diseases in Europe.
Xylella fastidiosa (Xf) is a vector-borne plant bacterium native to the Americas, which causes severe diseases to agricultural crops, ornamental plants and forest trees. The bacterium is becoming a source of worldwide health plant concern and disease outbreaks associated with Xf have occurred outside of its native range (in Europe, Asia and the Middle East). Several studies have estimated risks associated with Xf outbreaks in invaded regions under current climate conditions, but future climate change has been seldom addressed. In the present study, we calibrated correlative models of bioclimatic species distribution to forecast the potential range and severity of two economically important Xf-related diseases (Pierce's disease and the bacterial leaf scorch of shade trees) by the period 2040-2060. Models predict that conditions could become highly favourable for Pierce's disease in economically important wine-producing regions of the world, highlighting the need to design control strategies. Similarly, models suggest that risk of bacterial leaf scorch of shade trees might increase in temperate regions where it is still apparently absent. However, we note that substantial uncertainty in predictions arises from high levels of correlation among climatic variables in the calibration data set. The inherent lack of knowledge concerning whether the distribution of Xf-related diseases is at climatic equilibrium or not in Europe may also influence our predictions. The models provide valuable information to identify regions where increased surveillance efforts should be made and where control strategies are required.
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