Global Urban Tree Species (GUTS): Revealing tree species diversity across the world’s urban areas

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Authors: Xia Yang, Pengbo Yan, Jing Jin, Xiaohu Liu, Jun Yang
Cited by: 1
References: 21

Abstract

Diverse tree communities can bolster urban ecosystem resilience and provide vital ecosystem services. However, existing urban tree species datasets have limited geographic coverage and contain inadequate attributes. To address those gaps, we developed the Global Urban Tree Species (GUTS) dataset by integrating data from literature, biodiversity databases, and other open sources. The new dataset encompasses 159,845 occurrence records of 10,094 tree species in 8,349 cities and 139 countries. Among them, 109,879 records were confirmed from urban areas, representing 11.18% of global tree species diversity. The dataset has been validated using multiple methods. GUTS fills critical data gaps and provides a foundation for future research and management of global urban biodiversity.

Fields of Study & Subjects

Urban Green Space and Health Species Distribution and Climate Change Ecology and Vegetation Dynamics Studies

Publication details

Journal / source
Scientific Data
Publisher
Springer Science and Business Media LLC
Volume
13
Issue
1
Publication date
19 February 2026
Language
EN