Non‐Native Woody Plant Species Show Different Leaf Functional Traits and Herbivory Levels From Native Ones in the Urban Areas of Beijing, China
Year: 2025
Type: article
Abstract: A large number of non-native species have been introduced to urban ecosystems, and it is a distinctive feature of the urbanization process. However, it is unclear whether these non-native species have similar functional traits to native ones and are similarly integrated into the local food web. We evaluated the differences in leaf functional traits and herbivory between native and non-native species of common woody plants in 50 parks in Beijing, China. The nutrient contents, defensive traits, and levels of herbivory were measured in 2681 leaves across 138 (52 native and 86 non-native species) woody plant species. Results show that compared to native species, non-native trees showed greater potential for short-term carbon sequestration, lower nutrient contents, and chemical defense but similar levels of herbivory. Non-native shrubs had lower carbon contents and herbivory levels than native shrubs. Phylogenetic history explained much more of the variance in plant traits and herbivory than spatial variation, suggesting the high homogeneity of environments among different urban parks. Furthermore, the variation in leaf traits and herbivory of non-native species had higher uncertainty than that of native species. Our research findings indicate that compared to native species in urban ecosystems, non-native species have reduced plant-herbivore energy flow to primary consumers, which may hinder biodiversity at higher nutrient levels. In the future, urban parks should incorporate more native plant species and enhance environmental heterogeneity.
Source: Ecology and Evolution
DOI: 10.1002/ece3.71947
Authors: Yingjie Wang, Shuang Zhang, Xingwu Duan, Keming Ma
Language: English
Subfield: Nature and Landscape Conservation
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,570
Award: G1357277215
OpenAlex ID: W4413101446
