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Warmer and brighter winters than before: Ecological and public health challenges from the expansion of the pine processionary moth (Thaumetopoea pityocampa)

Author

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  • Jean-Pierre Rossi

    (UMR CBGP - Centre de Biologie pour la Gestion des Populations - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD [Occitanie] - Institut de Recherche pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

  • Andrea Battisti

    (Unipd - Università degli Studi di Padova = University of Padua, DAFNAE - Department of Agronomy, Food, Natural Resources, Animals and Environment - Unipd - Università degli Studi di Padova = University of Padua)

  • Dimitrios N. Avtzis

    (HAO Demeter - Hellenic Agricultural Organization Demeter)

  • Christian Burban

    (BioGeCo - Biodiversité, Gènes & Communautés - UB - Université de Bordeaux - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Noureddine Rahim

    (Biotechnology High National School Taoufik Khaznadar)

  • Jérôme Rousselet

    (URZF - Zoologie forestière - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Carole Kerdelhué

    (UMR CBGP - Centre de Biologie pour la Gestion des Populations - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD [Occitanie] - Institut de Recherche pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

  • Kahraman İpekdal

    (Hacettepe University = Hacettepe Üniversitesi)

Abstract

Highlights: • We model the geographic range of the pine processionary moth (PPM). • Three species distribution models are constructed using tree-based methods. • Interpretable machine learning reveals climate variables limiting the PPM's distribution. • A significant northward expansion is projected for the coming decades. • A contraction of suitable regions is expected in North Africa by 2040–2060. Abstract: Assessing the species ecological responses to ongoing climate change is a critical challenge in environmental science. Rising temperatures, particularly in winter, are altering the distribution patterns of many species, including the pine processionary moth (PPM), Thaumetopoea pityocampa (Denis & Schiffermuller, 1775). This Mediterranean species, a significant defoliator of conifers, is expanding its range northward as winter temperatures increase. The larvae of PPM also pose serious public health risks due to their ability to induce allergic reactions in humans, pets, and livestock. To better understand these ecological shifts, we calibrated three distribution models (Bayesian Additive Regression Trees, Boosted Regression Trees, and Random Forest) based on historical and modern occurrence data compiling of 1769 points, and assessed climate suitability under historical, current and future conditions. Our results show that winter minimum temperatures, summer maximum temperatures, and solar radiation significantly influence the life cycle, and shape the geographical distribution of PPM. Under current conditions, PPM could extend its range further north, but its limited flight capabilities hinder its ability to keep up with the pace of climate change. Future projections suggest continued northward expansion, although solar radiation is expected to limit the northernmost range of PPM. Certain host tree species of PPM are frequently used as ornamental plants, particularly in urban areas, which makes the careful selection of these species a potentially valuable tool for management. Our findings identify regions that are likely to become suitable for PPM colonization, where proactive measures could be implemented.

Suggested Citation

  • Jean-Pierre Rossi & Andrea Battisti & Dimitrios N. Avtzis & Christian Burban & Noureddine Rahim & Jérôme Rousselet & Carole Kerdelhué & Kahraman İpekdal, 2025. "Warmer and brighter winters than before: Ecological and public health challenges from the expansion of the pine processionary moth (Thaumetopoea pityocampa)," Post-Print hal-05054582, HAL.
  • Handle: RePEc:hal:journl:hal-05054582
    DOI: 10.1016/j.scitotenv.2025.179470
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-05054582v1
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    References listed on IDEAS

    as
    1. Boria, Robert A. & Olson, Link E. & Goodman, Steven M. & Anderson, Robert P., 2014. "Spatial filtering to reduce sampling bias can improve the performance of ecological niche models," Ecological Modelling, Elsevier, vol. 275(C), pages 73-77.
    2. Martin Wild, 2016. "Decadal changes in radiative fluxes at land and ocean surfaces and their relevance for global warming," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 7(1), pages 91-107, January.
    3. Carole Kerdelhué & Jean-Pierre Rossi & Alexis Bernard & Thierry Fanjas-Mercere & Louis Gross & Benoit Nusillard & Patrick Pineau & Julien Pradel & Alain Talbi & Jérôme Rousselet, 2024. "Dataset documenting prevalence and counts of pine processionary moth tents on local host trees in 3 regions of France with different climatic environments," Post-Print hal-04498528, HAL.
    4. Giovanni Tamburini & Lorenzo Marini & Klaus Hellrigl & Cristina Salvadori & Andrea Battisti, 2013. "Effects of climate and density-dependent factors on population dynamics of the pine processionary moth in the Southern Alps," Climatic Change, Springer, vol. 121(4), pages 701-712, December.
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    Keywords

    Climate change; Species range shift; Species distribution modeling; Health risk; Forest pest;
    All these keywords.

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