When we think about modern forest protection, we rarely imagine scientists analysing massive climate datasets in front of computer screens. Yet in contemporary plant pathology, this is exactly where the first line of defence against global ecological threats is being forged — at the intersection of biology and machine learning.
In our latest study, we set out to unravel one of the most pressing mysteries in modern forestry: how climate change may affect the potential migration routes of dangerous quarantine pathogens into Europe. Until now, Europe’s cold winters and relatively stable precipitation patterns have acted as a natural barrier against many aggressive organisms originating from North America. Unfortunately, projections for the coming decades suggest that this climatic shield is beginning to weaken.
To understand the scale of the risk, we moved beyond traditional estimation methods and turned to advanced ecological niche modelling using the MaxEnt algorithm. By combining precise historical data on the current distribution of four key pathogens with global climate models extending to 2080, we created digital simulations of their potential future across the continent. Our analyses revealed a striking contrast in the survival strategies and environmental requirements of the studied organisms:
- Green Light for the Invaders: For highly destructive fungi such as Bretziella fagacearum (responsible for devastating oak wilt) and Davidsoniella virescens (the causal agent of sapstreak disease), global warming appears to be an almost open invitation. The models clearly indicate that their climatically suitable range will shift dramatically northward and eastward across Europe. If these pathogens cross international borders through global trade, they may encounter ecosystems perfectly tailored to their needs.
- Microclimatic Barriers: A completely different scenario emerged for the nematode Litylenchus crenatae (which attacks beech trees) and the fungus Stegophora ulmea (responsible for black spot disease in elm). These organisms proved to be biologically “selective” — their expansion is strongly constrained by strict microclimatic requirements, such as specific summer humidity levels or precise winter temperature minima.
This key finding demonstrates that climate change cannot be treated as a universal accelerator for all plant diseases; each case demands a highly individualised research approach. These results represent far more than an academic forecast. They form a ready-to-use early warning system that enables phytosanitary services and foresters to act proactively before an uncontrolled epidemic takes hold. Ultimately, this study proves that the future of nature conservation lies in the hands of those who can combine a passion for the natural sciences with expertise in programming and spatial data analysis.
Miłosz Tkaczyk and Maciej Lisiewicz published this study in Plant Pathology Journal:
Climate-Driven Shifts in the Potential Distribution of Quarantine Forest Pathogens in Europe: Insights From Species Distribution Modelling
Cover Image: Projected climatic suitability for four quarantine organisms in Europe under four SSP climate scenarios. Panels show binary suitability maps for Bretziella fagacearum (a–d), Davidsoniella virescens (e–h), Litylenchus crenatae (i–l), and Stegophora ulmea (m–p) under four future climate scenarios: SSP1–2.6 (a, e, i, m), SSP2–4.5 (b, f, j, n), SSP3–7.0 (c, g, k, o), and SSP5–8.5 (d, h, l, p). Dark green indicates areas where the modelled suitable climatic range overlaps with the currently known distribution (persistent presence). Orange indicates areas where the organism is currently suitable but is projected to fall outside future climatic suitability (local extinction). Blue represents areas where future climatic conditions would allow the organism to occur (potential expansion).
