IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i10p5748-d558743.html
   My bibliography  Save this article

Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China

Author

Listed:
  • Shuang Li

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China)

  • Feili Wei

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China)

  • Zheng Wang

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China)

  • Jiashu Shen

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China)

  • Ze Liang

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China)

  • Huan Wang

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China)

  • Shuangcheng Li

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China)

Abstract

The impact of extreme climate on natural ecosystems and socioeconomic systems is more serious than that of the climate’s mean state. Based on the data of 1698 meteorological stations in China from 2001 to 2018, this study calculated the 27 extreme climate indices of the Expert Team on Climate Change Detection and Indices (ETCCDI). Through correlation analysis and collinearity diagnostics, we selected two representative extreme temperature indices and three extreme precipitation indices. The spatial scale of the impact of extreme climate on Normalized Difference Vegetation Index (NDVI) in China during the growing season from 2001 to 2018 was quantitatively analyzed, and the complexity of the dominant factors in different regions was discussed via clustering analysis. The research results show that extreme climate indices have a scale effect on vegetation. There are spatial heterogeneities in the impacts of different extreme climate indices on vegetation, and these impacts varied between the local, regional and national scales. The relationship between the maximum length of a dry spell (CDD) and NDVI was the most spatially nonstationary, and mostly occurred on the local scale, while the effect of annual total precipitation when the daily precipitation amount was more than the 95th percentile (R95pTOT) showed the greatest spatial stability, and mainly manifested at the national scale. Under the current extreme climate conditions, extreme precipitation promotes vegetation growth, while the influence of extreme temperature is more complicated. As regards intensity and range, the impact of extreme climate on NDVI in China over the past 18 years can be categorized into five types: the humidity-promoting type, the cold-promoting and drought-inhibiting compound type, the drought-inhibiting type, the heat-promoting and drought-inhibiting compound type, and the heat-promoting and humidity-promoting compound type. Drought is the greatest threat to vegetation associated with extreme climate in China.

Suggested Citation

  • Shuang Li & Feili Wei & Zheng Wang & Jiashu Shen & Ze Liang & Huan Wang & Shuangcheng Li, 2021. "Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China," Sustainability, MDPI, vol. 13(10), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5748-:d:558743
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/10/5748/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/10/5748/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. M. B. Harris & L. J. Beaumont & T. R. Vance & C. R. Tozer & T. A. Remenyi & S. E. Perkins-Kirkpatrick & P. J. Mitchell & A. B. Nicotra & S. McGregor & N. R. Andrew & M. Letnic & M. R. Kearney & T. , 2018. "Biological responses to the press and pulse of climate trends and extreme events," Nature Climate Change, Nature, vol. 8(7), pages 579-587, July.
    2. L. Xu & R. B. Myneni & F. S. Chapin III & T. V. Callaghan & J. E. Pinzon & C. J. Tucker & Z. Zhu & J. Bi & P. Ciais & H. Tømmervik & E. S. Euskirchen & B. C. Forbes & S. L. Piao & B. T. Anderson & S. , 2013. "Temperature and vegetation seasonality diminishment over northern lands," Nature Climate Change, Nature, vol. 3(6), pages 581-586, June.
    3. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    4. Yu, Chaoqing & Huang, Xiao & Chen, Han & Huang, Guorui & Ni, Shaoqiang & Wright, Jonathon S. & Hall, Jim & Ciais, Philippe & Zhang, Jie & Xiao, Yuchen & Sun, Zhanli & Wang, Xuhui & Yu, Le, 2018. "Assessing the impacts of extreme agricultural droughts in China under climate and socioeconomic changes," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6, pages 689-703.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guoxiu Shang & Xiaogang Wang & Yun Li & Qi Han & Wei He & Kaixiao Chen, 2023. "Heterogeneity Analysis of Spatio-Temporal Distribution of Vegetation Cover in Two-Tider Administrative Regions of China," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    2. Long Li & Wei Fu & Mingcan Luo, 2022. "Spatial and Temporal Variation and Prediction of Ecosystem Carbon Stocks in Yunnan Province Based on Land Use Change," IJERPH, MDPI, vol. 19(23), pages 1-14, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yanzhao Wang & Jianfei Cao, 2023. "Examining the Effects of Socioeconomic Development on Fine Particulate Matter (PM2.5) in China’s Cities Based on Spatial Autocorrelation Analysis and MGWR Model," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    2. Carlos Sanz-Lazaro, 2019. "A Framework to Advance the Understanding of the Ecological Effects of Extreme Climate Events," Sustainability, MDPI, vol. 11(21), pages 1-18, October.
    3. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
    4. Hengyu Gu & Hanchen Yu & Mehak Sachdeva & Ye Liu, 2021. "Analyzing the distribution of researchers in China: An approach using multiscale geographically weighted regression," Growth and Change, Wiley Blackwell, vol. 52(1), pages 443-459, March.
    5. Shichao Lu & Zhihua Zhang & M. James C. Crabbe & Prin Suntichaikul, 2024. "Effects of Urban Land-Use Planning on Housing Prices in Chiang Mai, Thailand," Land, MDPI, vol. 13(8), pages 1-13, July.
    6. Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2021. "Moving towards a sustainable and innovative city: Internal urban traffic accessibility and high-level innovation based on platform monitoring data," International Journal of Production Economics, Elsevier, vol. 235(C).
    7. Chunfang Zhao & Yingliang Wu & Yunfeng Chen & Guohua Chen, 2023. "Multiscale Effects of Hedonic Attributes on Airbnb Listing Prices Based on MGWR: A Case Study of Beijing, China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    8. Jinting Guo & Yuanman Hu & Zaiping Xiong & Xiaolu Yan & Chunlin Li & Rencang Bu, 2017. "Variations in Growing-Season NDVI and Its Response to Permafrost Degradation in Northeast China," Sustainability, MDPI, vol. 9(4), pages 1-15, April.
    9. Li Gao & Mingjing Huang & Wuping Zhang & Lei Qiao & Guofang Wang & Xumeng Zhang, 2021. "Comparative Study on Spatial Digital Mapping Methods of Soil Nutrients Based on Different Geospatial Technologies," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    10. Li, Mengya & Kwan, Mei-Po & Hu, Wenyan & Li, Rui & Wang, Jun, 2023. "Examining the effects of station-level factors on metro ridership using multiscale geographically weighted regression," Journal of Transport Geography, Elsevier, vol. 113(C).
    11. Moore, David & Webb, Amanda L., 2022. "Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio," Energy Policy, Elsevier, vol. 160(C).
    12. Jack C. Yue & Ming-Huei Tu & Yin-Yee Leong, 2024. "A spatial analysis of the health and longevity of Taiwanese people," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(2), pages 384-399, April.
    13. Hosseinzadeh, Aryan & Algomaiah, Majeed & Kluger, Robert & Li, Zhixia, 2021. "Spatial analysis of shared e-scooter trips," Journal of Transport Geography, Elsevier, vol. 92(C).
    14. Yigong Hu & Binbin Lu & Yong Ge & Guanpeng Dong, 2022. "Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression," Environment and Planning B, , vol. 49(6), pages 1715-1740, July.
    15. Yongxin Liu & Yiting Wang & Yiwen Lin & Xiaoqing Ma & Shifa Guo & Qianru Ouyang & Caige Sun, 2023. "Habitat Quality Assessment and Driving Factors Analysis of Guangdong Province, China," Sustainability, MDPI, vol. 15(15), pages 1-23, July.
    16. Tao Wang & Kai Zhang & Keliang Liu & Keke Ding & Wenwen Qin, 2023. "Spatial Heterogeneity and Scale Effects of Transportation Carbon Emission-Influencing Factors—An Empirical Analysis Based on 286 Cities in China," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    17. Hanchen Duan & Yuan Qi & Wenping Kang & Jinlong Zhang & Hongwei Wang & Xiaofang Jiang, 2022. "Seasonal Variation of Vegetation and Its Spatiotemporal Response to Climatic Factors in the Qilian Mountains, China," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
    18. Rémy Le Boennec & Julie Bulteau & Thierry Feuillet, 2022. "The role of commuter rail accessibility in the formation of residential land values: exploring spatial heterogeneity in peri-urban and remote areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 163-186, August.
    19. Lu, Haiyan & Zhao, Pengjun & Hu, Haoyu & Zeng, Liangen & Wu, Kai Sheng & Lv, Di, 2022. "Transport infrastructure and urban-rural income disparity: A municipal-level analysis in China," Journal of Transport Geography, Elsevier, vol. 99(C).
    20. Junfeng Wang & Shaoyao Zhang & Wei Deng & Qianli Zhou, 2024. "Metropolitan Expansion and Migrant Population: Correlation Patterns and Influencing Factors in Chengdu, China," Land, MDPI, vol. 13(1), pages 1-20, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5748-:d:558743. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.