Urban Plant Diversity in Relation to Land Use Types in Built-up Areas of Beijing

被引:0
|
作者
GUO Peipei [1 ]
SU Yuebo [1 ]
WAN Wuxing [2 ]
LIU Weiwei [1 ]
ZHANG Hongxing [3 ]
SUN Xu [3 ]
OUYANG Zhiyun [1 ]
WANG Xiaoke [1 ,3 ]
机构
[1] State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences
[2] College of Life Science, Hebei Normal University
[3] Beijing Urban Ecosystem Research Station, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences
基金
中国国家自然科学基金;
关键词
functional trait; native species; extralimital native; exotic; resistant species; Beijing;
D O I
暂无
中图分类号
F299.23 [城市经济管理]; Q948 [植物生态学和植物地理学];
学科分类号
120405 ; 071012 ; 0713 ;
摘要
Urban plants provide various ecosystem services and biodiversity for human well-being. It is necessary to examine the plant species and functional traits composition and the influencing factors. In this study, a field survey was conducted using the tessellation-randomized plot method to assess the plant species and functional traits variability in greenspaces across eight land use types(LUTs) in the built-up areas of Beijing, China. Results showed that the woody plants in the built-up areas of Beijing comprised 85 non-native species(57%), 21 pollen-allergenic species(14%), and 99 resistant species(67%). Residential areas, community parks and institutional areas had higher woody plant species richness than other LUTs. Native and extralimital native species were more widespread than exotic species. Proportions of species with resistances were low except for cold-and drought-resistance; consequently, a high intensity of management and maintenance is essential for survival of plants in this urban area. Caution should be exerted in selecting plant species with resistance to harsh conditions in different LUTs. Housing prices, distances from the urban center, years since the establishment of LUTs and greening rate were strongly correlated with the plant functional traits and species diversity. Urban forest managers should consider plant functional traits and LUT-specific strategies to maximize both forest and human health.
引用
收藏
页码:100 / 110
页数:11
相关论文
共 50 条
  • [31] Model of Relationships between Land Surface Temperature and Urban Built-Up Areas in Mueang Buriram District, Thailand
    Rotjanakusol, Tanutdech
    Laosuwan, Teerawong
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2020, 29 (05): : 3783 - 3790
  • [32] Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
    Zha, Y
    Gao, J
    Ni, S
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (03) : 583 - 594
  • [33] Built-up land efficiency in urban China: Insights from the General Land Use Plan (2006-2020)
    Chen, Yi
    Chen, Zhigang
    Xu, Guoliang
    Tian, Zhiqiang
    HABITAT INTERNATIONAL, 2016, 51 : 31 - 38
  • [34] How does sprawl differ across urban built-up land types in China? A spatial-temporal analysis of the Beijing metropolitan area using granted land parcel data
    Jiang, Guanghui
    Ma, Wenqiu
    Qu, Yanbo
    Zhang, Ruijuan
    Zhou, Dingyang
    CITIES, 2016, 58 : 1 - 9
  • [35] Development of a system for rapid topographic map revision of urban built-up areas
    Zhang, Ying
    Guindon, Bert
    Lemay, Sylvain
    CANADIAN JOURNAL OF REMOTE SENSING, 2013, 39 (05): : 367 - 381
  • [36] Urban flooding: A geometric indicator to describe the hydraulic behaviour of built-up areas
    Hingray, B.
    Bouvier, C.
    Desbordes, M.
    Cappelaere, B.
    Revue des Sciences de l'Eau, 2000, 13 (01): : 85 - 100
  • [37] The impact of urban parks on the thermal environment of built-up areas and an optimization method
    Yang, Yujun
    Lv, Yuheng
    Zhou, Dian
    PLOS ONE, 2025, 20 (03):
  • [38] Remote sensing identification of green plastic cover in urban built-up areas
    Wenkai Guo
    Guoxing Yang
    Guangchao Li
    Lin Ruan
    Kun Liu
    Qirong Li
    Environmental Science and Pollution Research, 2023, 30 : 37055 - 37075
  • [39] Runoff calculation method of urban built-up areas considering the impact of wind
    Gao X.
    Wang H.
    Yang Z.
    Gao K.
    Mou Y.
    Shuikexue Jinzhan/Advances in Water Science, 2023, 34 (01): : 88 - 101
  • [40] A novel method for identifying the boundary of urban built-up areas with POI data
    Xu Z.
    Gao X.
    Gao, Xiaolu (gaoxl@igsnrr.ac.cn), 2016, Science Press (71): : 928 - 939