The influence of the North Atlantic Oscillation on the potential distribution areas of Bursaphelencus xylophilus in Europe based on climatological reanalysis data
Katalin Somfalvi-Tóth 1, A,C-F  
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Department of Natural Resources, Kaposvar University, Kaposvar, Hungary
Department of Plant Production and Protection, Kaposvar University, Kaposvar, Hungary
A - Research concept and design; B - Collection and/or assembly of data; C - Data analysis and interpretation; D - Writing the article; E - Critical revision of the article; F - Final approval of article
Katalin Somfalvi-Tóth   

Department of Natural Resources, Kaposvar University, Guba S. 40., H-7400, Kaposvar, Hungary
Online publication date: 2020-06-09
Submission date: 2020-02-17
Acceptance date: 2020-04-01
Journal of Plant Protection Research 2020;60(2):215–219
Pine wood nematode (Bursaphelenchus xylophilus) (Aphelenchida: Parasitaphelencidae) is one of the most harmful agents in coniferous forests. The most important vectors of pine wood nematode are considered to be some Monochamus species (Col.: Cerambycidae), which had been forest insects with secondary importance before the appearance of B. xylophilus. However, the continuous spreading of the nematode has changed this status and necessitated detailed biological and climatological investigation of the main European vector, Monochamus galloprovincialis. The potential distribution area of M. galloprovincialis involves those areas where the risk of the appearance of pine wood nematode B. xylophilus is significant. The main objective of our analysis was to obtain information about the influencing effects of North Atlantic Oscillation (NAO) on the potential European range of B. xylophilus and its vector species M. galloprovincialis based on the connection between the mean temperature of July in Europe, the distribution of day-degrees of the vector and the NAO index. Our assessment was based on fundamental biological constants of the nematode and the cerambycid pest as well as the ECMWF ERA5 Global Atmospheric Reanalysis dataset. Our hypothesis was built on the fact that the monthly mean temperature had to exceed 20°C in the interest of an efficient expansion of the nematode. In addition, the threshold temperature of the vector involved in the calculations was 12.17°C, while the accumulated day-degree (DD) had to exceed the annual and biennial 370.57°DD for univoltine and semivoltine development, respectively. Our finding that a connection could be found between a mean temperature in July above 20°C and NAO as well as between the accumulated day-degrees and NAO can be the basis for further investigations for a reliable method to forecast the expansion of pine wood nematode and its vector species in a given year.
The work was supported by the GINOP-2.2.1-15-2016-00005 as well as the EFOP 3.6.2-16-2017-00018, “Let’s Produce with nature − agro-forestry as a new breakthrough opportunity" project, which is co-financed by the European Union, the European Social Fund.
The authors have declared that no conflict of interests exist.
Barnston A.G., Livezey R.E. 1987. Classification, seasonality and persistence of low-frequency atmospheric circulation patterns. Monthly Weather Review 115 (6): 1083–1126. DOI:<1083:CSAPOL>2.0.CO;2.
Copernicus Climate Change Service (C3S). 2017. ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service Climate Data Store (CDS). Available on: https://cds.climate.copernicus... [Accessed: 28 March, 2020].
EPPO. 2019. PQR database. Paris, France: European and Mediterranean Plant Protection Organization. Available on: [Accessed: 28 March, 2020].
Evans H.F., McNamara D.G., Braasch H., Chadoeuf J., Magnusson C. 1996. Pest risk analysis (PRA) for the territories of the European Union (as PRA area) on Bursaphelenchus xylophilus and its vectors in the genus Monochamus. EPPO Bulletin 26 (2): 199–249. DOI:
EU. 2000. Council Directive 2000/29/EC of 8 July 2000 on protective measures against the introduction into the Member States of organisms harmful to plant or plant products. Official Journal of the European Communities L169: 1−112.
Giblin-Davis M., Davies K.A., Morris K., Thomas W.K. 2003. Evolution of parasitism in insect-transmitted plant nematodes. Journal of Nematology 35: 133–140.
Glowienka‐Hense R. 1990. The North Atlantic Oscillation in the Atlantic‐European SLP*. Tellus A: Dynamic Meteorology and Oceanography 42: 497–507. DOI:
Gruffudd H.R., Jenkins T.A.R., Evans H.F. 2016. Using an evapotranspiration model (ETpN) to predict the risk and expression of symptoms of pine wilt disease (PWD) across Europe. Biological Invasions 18: 2823−2840. DOI:
Gruffudd H.R., Schröder T., Jenkins T., Evans H. 2019. Modelling pine wilt disease (PWD) for current and future climate scenarios as part of a pest risk analysis for pine wood nematode Bursaphelenchus xylophilus (Steiner and Buhrer) Nickle in Germany. Journal of Plant Diseases and Protection 126: 129−144. DOI: htps://
Hepting G.H. 1963. Climate and forest diseases. Annual Review of Phytopathology 1: 31–50. DOI:
Hurrell J.W., Deser C. 2009. North Atlantic climate variability: The role of the North Atlantic Oscillation. Journal of Marine Systems 78 (1): 28–41. DOI:
Kempeneers P., Sedano F., Seebach L., Strobl P., San-Miguel-Ayanz J. 2011. Data fusion of different spatial resolution remote sensing images applied to forest type mapping. IEEE Transactions on Geoscience and Remote Sensing 49 (12): 4977−4986. DOI:
Li J., Sun C., Jin F.-F. 2013. NAO implicated as a predictor of Northern Hemisphere mean temperature multidecadal variability. Geophysical Research Letters 40: 5497–5502. DOI:
López-Moreno J.I., Vicente-Serrano S.M. 2008. Positive and negative phases of the wintertime North Atlantic Oscillation and drought occurrence over Europe: A multitemporal-scale approach. Journal of Climate 21: 1220–1243. DOI:
Mamiya Y. 1983. Pathology of the pine wilt disease caused by Bursaphelenchus xylophilus. Annual Review of Phytopathology 21: 201–220. DOI: 10.1146/
NOAA Climate Prediction Center. 2008. Teleconnection Pattern Calculation Procedure. Available on: [Accessed: 28 March 2020].
Pureswaran D.S., Grandpré L.D., Paré D., Taylor A., Barrette M., Morin H., Régnière J., Kneeshaw D.D. 2015. Climate‐induced changes in host tree-insect phenology may drive ecological state‐shift in boreal forests. Ecology 96: 1480–1491. DOI:
R Development Core Team. 2008. R: A language and environment for statistical computing. R Foundation for Statistical Computing Vienna, Austria. ISBN 3-900051-07-0. Available on: [Accessed: 28 March, 2020].
Rutherford T.A., Mamiya Y., Webster J.M. 1990. Nematodeinduced pine wilt disease: factors influencing its occurrence and distribution. Forest Science 36: 145–155. DOI: