Biodiversity Literature Repository
Published May 20, 2023 | Version v1
Dataset Open

Supplementary material 4 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549

Creators

  • 1. Université de Lorraine, Nancy, France|ANSES Laboratoire de la Santé des Végétaux, Unité de Mycologie, Malzéville, France
  • 2. Mendel University, Brno, Czech Republic
  • 3. Université de Lorraine, Nancy, France
  • 4. Sociedade Portuguesa de Alergologia e Imunologia Clínica, Lisbon, Portugal|Universidade de Évora, Évora, Portugal
  • 5. Federal Office of Meteorology and Climatology MeteoSwiss, Payerne, Switzerland
  • 6. University of Bordeaux, Cestas, France
  • 7. Swedish Museum of Natural History, Stockholm, Sweden
  • 8. Swedish University of Agricultural Sciences, Uppsala, Sweden
  • 9. National Research Council, Institute for Sustainable Plant Protection, Sesto fiorentino, Italy|University of Western Australia, Perth, Australia
  • 10. Réseau National de Surveillance Aérobiologique, Brussieu, France
  • 11. Universidade de Lisboa, Lisbon, Portugal
  • 12. Research Unit Forest Health and Biotic Interactions, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
  • 13. Masaryk University, Brno, Czech Republic
  • 14. National Research Council, Institute for Sustainable Plant Protection, Sesto fiorentino, Italy
  • 15. University of Perugia, Perugia, Italy
  • 16. ANSES Laboratoire de la Santé des Végétaux, Unité de Mycologie, Malzéville, France

Description

Zero-centred histogram of the residuals between simulated data and predictions of the model with the water balance (P-ETP) in the vegetative season (April-August) of the year preceding disease report as a predictor of the standardized record rate of the SBD

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Related works

Is supplement to
Journal article: 10.3897/neobiota.84.90549 (DOI)