Impacts of the scale effect on quantifying the response of spring vegetation phenology to urban intensity

被引:1
|
作者
Peng, Zijie [1 ]
Jiang, Dezheng [1 ]
Li, Wenbo [1 ]
Mu, Qiaoyi [1 ]
Li, Xuecao [1 ,2 ,5 ]
Cao, Wenting [3 ]
Shi, Zitong [4 ]
Chen, Tuo [1 ]
Huang, Jianxi [1 ]
机构
[1] China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China
[2] China Meteorol Adm, Key Lab Urban Meteorol, Beijing 100089, Peoples R China
[3] Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Peoples R China
[4] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China
[5] Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Phenology; Impervious surface percentage; Kernel density estimation; Urban-rural gradient; Scale effect; LAND-SURFACE PHENOLOGY; FOREST PHENOLOGY; PLANT PHENOLOGY; CLIMATE; SEASON; MODIS; NDVI;
D O I
10.1016/j.rse.2024.114485
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban vegetation phenology is essential for understanding climate change impacts on urban ecosystems, offering insights into ecological and health implications. Although previous studies have explored the response patterns of vegetation phenology along the urban-rural gradient, quantitative analysis considering the neighborhood and scale effects is still insufficient. In this study, we comprehensively assessed the responses of the start of season (SOS) on urban-rural gradients depicted by both impervious surface percentage (ISP) and its kernel density values (ISPKD) at different spatial scales in 32 large cities in the north temperate zone. Our results revealed that the ISPKD can moderately amplify the sensitivity of spring phenology responses to urban intensity compared to the direct ISP indicator, with a mean difference of 0.02 days per ISP or ISPKD unit increase among cities with a significant linear response. These changes are associated with the magnified urban-rural phenological difference when characterizing the urban-rural gradient using ISPKD compared to ISP, with an increased average urbanrural difference of 1.37 days across all study cities. Observations at coarser spatial resolutions made the overall advancing trends of spring phenology on the urban-rural gradient more pronounced. Specifically, the average trends across all study cities showing significant response trends across all spatial resolutions shifted from -0.07 days/% at 250 m resolution to -0.11 days/% at 2 km. In addition, coarser resolutions of 500 m, 1 km, and 2 km amplified the average urban-rural phenological differences by 0.69 days, 0.68 days, and 1.37 days, respectively, compared to 250 m. These findings provide quantitative evidence for understanding the impact of urban intensity on spring phenology, deserving attention when drawing conclusions from vegetation phenology products at different resolutions.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Urban heat island impacts on plant phenology: intra-urban variability and response to land cover
    Zipper, Samuel C.
    Schatz, Jason
    Singh, Aditya
    Kucharik, Christopher J.
    Townsend, Philip A.
    Loheide, Steven P., II
    ENVIRONMENTAL RESEARCH LETTERS, 2016, 11 (05):
  • [22] Spring photosynthetic phenology of Chinese vegetation in response to climate change and its impact on net primary productivity
    Xue, Yingying
    Bai, Xiaoyong
    Zhao, Cuiwei
    Tan, Qiu
    Li, Yangbing
    Luo, Guangjie
    Wu, Luhua
    Chen, Fei
    Li, Chaojun
    Ran, Chen
    Zhang, Sirui
    Liu, Min
    Gong, Suhua
    Xiong, Lian
    Song, Fengjiao
    Du, Chaochao
    Xiao, Biqin
    Li, Zilin
    Long, Mingkang
    AGRICULTURAL AND FOREST METEOROLOGY, 2023, 342
  • [23] Mapping Spatiotemporal Changes in Vegetation Growth Peak and the Response to Climate and Spring Phenology over Northeast China
    Wang, Xiaoying
    Zhou, Yuke
    Wen, Rihong
    Zhou, Chenghu
    Xu, Lili
    Xi, Xi
    REMOTE SENSING, 2020, 12 (23) : 1 - 16
  • [24] Spatiotemporal variation in vegetation spring phenology and its response to climate change in freshwater marshes of Northeast China
    Shen, Xiangjin
    Liu, Binhui
    Xue, Zhenshan
    Jiang, Ming
    Lu, Xianguo
    Zhang, Qing
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 666 : 1169 - 1177
  • [25] Response of spring vegetation phenology to soil freeze-thaw state in the Northern Hemisphere from 2016 to 2022
    Yang, Ting
    Cong, Nan
    FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2023, 6
  • [26] Scale impacts of land cover and vegetation corridors on urban thermal behavior in Nanjing, China
    Huang, Liangmei
    Zhao, Dehua
    Wang, Jiazhen
    Zhu, Jiyu
    Li, Jianlong
    THEORETICAL AND APPLIED CLIMATOLOGY, 2008, 94 (3-4) : 241 - 257
  • [27] Scale impacts of land cover and vegetation corridors on urban thermal behavior in Nanjing, China
    Liangmei Huang
    Dehua Zhao
    Jiazhen Wang
    Jiyu Zhu
    Jianlong Li
    Theoretical and Applied Climatology, 2008, 94 : 241 - 257
  • [28] Asymmetric effect of daytime and nighttime temperature on spring phenology in Central Plains urban agglomeration, China
    Li, Jianhao
    Liu, Liang
    Zheng, Jianghua
    Han, Wanqiang
    Tian, Ruikang
    Yu, Xiaojing
    URBAN CLIMATE, 2024, 56
  • [29] Synergistic Impacts of Built-Up Characteristics and Background Climate on Urban Vegetation Phenology: Evidence from Beijing, China
    Fu, Xuecheng
    He, Bao-Jie
    FORESTS, 2024, 15 (04):
  • [30] Effect of Snow Cover on Detecting Spring Phenology from Satellite-Derived Vegetation Indices in Alpine Grasslands
    Wang, Yiting
    Chen, Yuanyuan
    Li, Pengfei
    Zhan, Yinggang
    Zou, Rui
    Yuan, Bo
    Zhou, Xiaode
    REMOTE SENSING, 2022, 14 (22)