Poster sessions 80 | P a g e estimating the efficacy of control measures is paramount to avoid potential outbreaks and have a better understanding of the epidemiology of the pathogen in such different environmental conditions (i.e. compared with geographical regions where Xylella was previously detected). Being pathogen-free, there are no epidemiological data regarding the UK, therefore we used all the available information to formulate qualitative and quantitative predictions, and theorise different scenarios. In particular, we model short-distance dispersal, stochastic long-distance dispersal, control zones (in agreement with the methodology employed in Apulia), and different levels of surveillance and detection efficacy. Modelling xylem temperature in olive and almond trees to estimate Xylella fastidiosa infection in woody hosts Navas-Cortés JA*, Román-Écija M, Landa BB, Testi L *Instituto de Ciencias Agrarias (ICA), Consejo Superior de Investigaciones Científicas (CSIC), Madrid (ES) The present work was presented in the framework of the Joint Annual Meeting of the EU Horizon 2020 Projects POnTE ‘Pest Organisms Threatening Europe' (GA 635646) and XF-ACTORS ‘Xylella fastidiosa Active Containment Through a multidisciplinary-Oriented Research Strategy' (GA 727987). Abstract: Xylella fastidiosa (Xf) can infect a wide range of woody crops that are grown extensively worldwide. The temperature patterns inside the woody plant parts which are the habitat of Xf cells may nevertheless be different to those of the standardly recorded air temperature, due to the wood thermal inertia, wind speed or incident radiation energy and its shading by the canopy. To investigate the relationship between the temperatures that can be reached in different parts of the xylematic system and those of the surrounding air, an experiment was conducted in Córdoba, southern Spain, from 2017 to 2019. In a high-density plot, a set of four mature olive trees (two with maximum exposure to sunlight on the southern border and two in the middle of the plot) were instrumented with a multiplexed set of specially-made thermocouples placed in different parts of the active xylem tissues. Measurements were made uninterruptedly from winter 2017 to spring 2019 at 10-min. intervals: inside small branches (1 cm diameter), inside the trunk at 2 and 4 cm depths, and in the soil underneath the trees at 20 cm depth. This set was replicated on the southern (sunlit) and northern side of each tree; in situ standard measurement of air temperature at 1.5 m height was also recorded. The experiment was replicated in a nearby almond tree plot. Solar radiation, air temperature and wind speed were measured concurrently in a nearby meteorological station. Our results indicate that winter standard air temperature minimums closely match those of all the above-ground xylematic systems, while maximums may differ substantially (> 20 °C), especially in the deeper xylem rings. For these parts and the root xylem, a model of heat transfer which includes the shading effect may be necessary. These results would allow a better parametrisation of epidemiological models used to estimate the development of Xf infection in woody hosts. Acknowledgement This work has received funding from 727987 XF-ACTORS (EU-H2020), E-RTA2017-00004- C06-02 from AEI-INIA Spain and FEDER, and the Spanish Olive Oil Interprofessional. Session: Insect vectors Vector parameters relevant to model the management of Xylella fastidiosa pauca ST53 invasion Porcelli F*, Liccardo A, Fierro A *Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, University of Bari Aldo Moro (IT) Abstract: We present a model, based on both Life Table and Statistical Mechanics techniques, aimed at identifying a valid Integrated Pest Management strategy to mitigate