Tree abundance, diversity and their driving and indicative factors in Beijing?s residential areas

被引:18
|
作者
Jiao, Min [1 ,2 ]
Xue, Haoran [1 ,3 ]
Yan, Jingli [1 ,2 ]
Zheng, Zhong [1 ,2 ]
Wang, Jia [1 ,2 ]
Zhao, Cheng [4 ]
Zhang, Lu [4 ]
Zhou, Weiqi [1 ,2 ,5 ]
机构
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, 18 Shuangqing Rd, Beijing 100085, Peoples R China
[2] Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
[3] Peking Univ, Coll Life Sci, Beijing 100871, Peoples R China
[4] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
[5] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing Urban Ecosyst Res Stn, 18 Shuangqing Rd, Beijing 100085, Peoples R China
基金
中国国家自然科学基金;
关键词
Urban trees; Residential areas; Abundance; Diversity; Ornamental; Allergenic;
D O I
10.1016/j.ecolind.2021.107462
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Urban trees provide a range of ecological services for urban dwellers. This is particularly true in residential areas where these services are known and valued. The abundance and diversity of trees determine and indicate the provision of ecological services by trees, while various characteristics of residential areas determine and indicate the abundance and diversity of trees within those areas. Exploring the abundance and diversity of trees in residential areas and their major driving and indicative factors is important for evaluating, predicting, and thus improving the ecological services provided by trees. Here, we selected 87 residential areas in Beijing through spatially stratified random sampling. Unlike the quadrat survey that is usually used, we conducted a detailed investigation of the abundance and diversity of trees in residential areas through a tree-by-tree survey and explored the major driving and indicative factors of the abundance and diversity of the trees. In the 87 sampled residential areas, 69 tree taxa belonging to 34 families were identified, and we found that the 10 most common species accounted for 55.9% of all trees. Trees in the residential areas had both high allergenic risk and high ornamental value. In newly built residential areas, the allergenic risk decreased but the ornamental value remained high. Average building height and distance to the city center were the two major driving and indicative factors of residential tree abundance, both of which were positive indicators, and the former played a larger role than that of the latter. In this study, distance to the city center was the only predicator of tree species diversity, and was also a positive indicator. The size of residential area did not show any relationship with tree abundance or diversity. Even though housing age and housing price were not included in the forecasting model, both showed a negative correlation with tree abundance, i.e., an opposite legacy effect and luxury effect. The results of this study can help in understanding tree abundance and diversity and their driving and indicative factors in residential areas in highly urbanized cities and can provide potential guidance for future residential tree planning and management.
引用
收藏
页数:10
相关论文
共 43 条
  • [1] Characterization of Tree Canopy in Urban Residential Areas of Beijing
    Liu X.
    Jia B.
    Linye Kexue/Scientia Silvae Sinicae, 2019, 55 (12): : 12 - 20
  • [2] A Study of Beijing's Suburban Residential Areas
    Li, Xujia
    ADVANCED BUILDING MATERIALS, PTS 1-4, 2011, 250-253 (1-4): : 2418 - 2423
  • [3] Analysis of the driving forces of change of rural residential areas in Beijing mountainous areas based on logistic regression model
    Jiang, Guanghui
    Zhang, Fengrong
    Chen, Junwei
    Duan, Zengqiang
    Su, Ziyou
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2007, 23 (05): : 81 - 87
  • [4] Identification of ecosystem service bundles and driving factors in Beijing and its surrounding areas
    Chen, Tianqian
    Feng, Zhe
    Zhao, Huafu
    Wu, Kening
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 711
  • [5] Factors Driving the Abundance of Wintering Waterbirds in Coastal Areas of Guangdong Province, China
    Yang, Xitao
    Duan, Zhizhao
    Li, Shuangshuang
    Zhang, Chunxia
    Qu, Ming
    Hua, Guodong
    Niu, Xiaonan
    Hu, Huijian
    Yu, Dongmei
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2022, 9
  • [6] Discussion of the Distribution Pattern and Driving Factors of 2 Large Old Tree Resources in Beijing
    Fu, Qingcheng
    Qiu, Erfa
    Zhang, Yuan
    Huang, Lanhong
    Wang, Huichao
    Jiang, Shasha
    FORESTS, 2022, 13 (09):
  • [7] Ecological Factors Driving Tree Diversity across Spatial Scales in Temperate Forests, Northeast China
    Gu, Yue
    Zhang, Junhui
    Ma, Wang
    Feng, Yue
    Yang, Leilei
    Li, Zhuo
    Guo, Yanshuang
    Shi, Guoqiang
    Han, Shijie
    FORESTS, 2023, 14 (06):
  • [8] Physical and biotic factors driving the diversity of spider assemblages in tree hollows of Mediterranean Quercus forests
    Hernandez-Corral, Jesus
    Garcia-Lopez, Alejandra
    Ferrandez, Miguel Angel
    Mico, Estefania
    INSECT CONSERVATION AND DIVERSITY, 2021, 14 (04) : 515 - 526
  • [9] Residential urban trees-socio-ecological factors affecting tree and shrub abundance in the city of Malmo, Sweden
    Klobucar, Blaz
    Ostberg, Johan
    Wistrom, Bjorn
    Jansson, Marit
    URBAN FORESTRY & URBAN GREENING, 2021, 62
  • [10] Birds' Flight Initiation Distance in Residential Areas of Beijing Are Lower than in Pristine Environments: Implications for the Conservation of Urban Bird Diversity
    Yin, Luqin
    Wang, Cheng
    Han, Wenjing
    Zhang, Chang
    SUSTAINABILITY, 2023, 15 (06)