生态学报2024，Vol.44Issue(11)：4744-4757,14.DOI:10.20103/j.stxb.202311022387
北京城市绿地不同生境自生植物多样性特征及其功能性状组成
Diversity characteristics and functional trait composition of spontaneous plants in different habitats of urban green space,Beijing
摘要
Abstract
Spontaneous plants are widely distributed in different habitats of urban green spaces and form a diverse species composition,which plays an important role in maintaining and supporting biodiversity.Studying the functional trait composition of spontaneous plants helps to understand how spontaneous plant diversity is formed and maintained in specific habitat.This study investigated the diversity characteristics and functional trait composition of spontaneous plants in eight habitat types,including evergreen and deciduous woodland,evergreen woodland,deciduous woodland,shrubland,grassland,waterside,tree pool and impervious pavement,of urban green spaces in Beijing.The woodland and waterside supported high species richness and functional richness.There were significant differences in the composition of functional traits between habitat types(P＜0.05).The woodlands had a richer distribution of trees and shrubs species as well as alien species,while grasslands were dominated by annual species which were self or animal dispersers.Significant correlations with diversity levels were found for some relatively rare functional traits in spontaneous plant communities(P＜0.05).In shrubland,grassland and waterside,the functional diversity of spontaneous plants increased with the increase in C4 photosynthetic pathway species.These results can help us to better understand the mechanisms of formation and maintenance of spontaneous plant diversity,and provide a scientific reference for the design of urban green spaces based on the conservation and enhancement of biodiversity.关键词
自生植物/功能性状/群落组成/植物多样性/景观设计与管理Key words
spontaneous plants/functional trait/community composition/floristic diversity/landscape design and management引用本文复制引用
骆沁宇,张梦园,李晓璐,范舒欣,董丽..北京城市绿地不同生境自生植物多样性特征及其功能性状组成[J].生态学报,2024,44(11):4744-4757,14.基金项目
国家自然科学基金项目(32171860) （32171860）
国家重点研发计划项目(2022YFC3802602) （2022YFC3802602）
