Fallen trees due to strong winds are well recorded in Lisbon. However, specie identification is needed to increase urban trees management. This paper aimed the identification of the most vulnerable trees to strong winds in Lisbon, through a hybrid approach method by proximity. The occurrence database was compiled together with basic structural city maps. Four criteria were designed to presuppose the trees specie names by approximation: i) Trees must be within 15 m from the street center; ii) At least 3 individuals within 30 m from the occurrence must belong to the same specie; iii) The surrounding specie must be representative in the street (>50%); iv) Visual analysis of street/avenue medians. Microscale analysis through supervised classification and micrometeorological simulations od strong winds were performed. Morus nigra L., Tipuana tipu (Benth.) Kuntze, Liriodendron tulipifera L., Prunus cerasifera Ehrh. and Koelreuteria paniculata Laxm. were identified as the species that fall the most. In 57.7% of cases (425 fallen trees), the wind speed 12-hours before the occurrence was greater than 7 m s−1. Alvalade neighborhood showed 22.7% tree canopy cover while the microclimatic simulation revealed two main vulnerability zones: Brazil and Church avenues, where winds were stronger possibly due acceleration effect.
