IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i24p7243-d298894.html
   My bibliography  Save this article

The Relationship between NDVI and Climate Factors at Different Monthly Time Scales: A Case Study of Grasslands in Inner Mongolia, China (1982–2015)

Author

Listed:
  • Zhifang Pei

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China
    State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China)

  • Shibo Fang

    (State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
    Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Wunian Yang

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

  • Lei Wang

    (State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China)

  • Mingyan Wu

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

  • Qifei Zhang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Wei Han

    (Shandong General Station of Agricultural Technology Extension, Jinan 250013, China)

  • Dao Nguyen Khoi

    (Faculty of Environment, University of Science, Vietnam National University Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam)

Abstract

There are currently only two methods (the within-growing season method and the inter-growing season method) used to analyse the normalized difference vegetation index (NDVI)–climate relationship at the monthly time scale. What are the differences between the two methods, and why do they exist? Which method is more suitable for the analysis of the relationship between them? In this study, after obtaining NDVI values (GIMMS NDVI3g) near meteorological stations and meteorological data of Inner Mongolian grasslands from 1982 to 2015, we analysed temporal changes in NDVI and climate factors, and explored the difference in Pearson correlation coefficients (R) between them via the above two analysis methods and analysed the change in R between them at multiple time scales. The research results indicated that: (1) NDVI was affected by temperature and precipitation in the area, showing periodic changes, (2) NDVI had a high value of R with climate factors in the within-growing season, while the significant correlation between them was different in different months in the inter-growing season, (3) with the increase in time series, the value of R between NDVI and climate factors showed a trend of increase in the within-growing season, while the value of R between NDVI and precipitation decreased, but then tended toward stability in the inter-growing season, and (4) when exploring the NDVI–climate relationship, we should first analyse the types of climate in the region to avoid the impacts of rain and heat occurring during the same period, and the inter-growing season method is more suitable for the analysis of the relationship between them.

Suggested Citation

  • Zhifang Pei & Shibo Fang & Wunian Yang & Lei Wang & Mingyan Wu & Qifei Zhang & Wei Han & Dao Nguyen Khoi, 2019. "The Relationship between NDVI and Climate Factors at Different Monthly Time Scales: A Case Study of Grasslands in Inner Mongolia, China (1982–2015)," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:7243-:d:298894
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/24/7243/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/24/7243/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Buitenwerf & Laura Rose & Steven I. Higgins, 2015. "Three decades of multi-dimensional change in global leaf phenology," Nature Climate Change, Nature, vol. 5(4), pages 364-368, April.
    2. Jie Yang & Zhiqiang Wan & Suld Borjigin & Dong Zhang & Yulong Yan & Yali Chen & Rui Gu & Qingzhu Gao, 2019. "Changing Trends of NDVI and Their Responses to Climatic Variation in Different Types of Grassland in Inner Mongolia from 1982 to 2011," Sustainability, MDPI, vol. 11(12), pages 1-12, June.
    3. Xinxia Liu & Zhixiu Tian & Anbing Zhang & Anzhou Zhao & Haixin Liu, 2019. "Impacts of Climate on Spatiotemporal Variations in Vegetation NDVI from 1982–2015 in Inner Mongolia, China," Sustainability, MDPI, vol. 11(3), pages 1-22, February.
    4. Jiaxin Jin & Ying Wang & Hong Jiang & Min Cheng, 2016. "Recent NDVI-Based Variation in Growth of Boreal Intact Forest Landscapes and Its Correlation with Climatic Variables," Sustainability, MDPI, vol. 8(4), pages 1-10, April.
    Full references (including those not matched with items on IDEAS)

    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. Lei Zhang & Yanfang Liu & Xiaojian Wei, 2017. "Forest Fragmentation and Driving Forces in Yingkou, Northeastern China," Sustainability, MDPI, vol. 9(3), pages 1-19, March.
    2. Chao Song & Qiyin Yu & Ruixia Wang & Guofa Cui, 2021. "Radiating Benefit of Windbreak and Sand Fixation in the Baijitan Nature Reserve of Lingwu, Ningxia, China," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    3. Lin, Ying & Yang, Xiuyun & Li, Yanan & Yao, Shunbo, 2020. "The effect of forest on PM2.5 concentrations: A spatial panel approach," Forest Policy and Economics, Elsevier, vol. 118(C).
    4. Qin Wang & Qin Ju & Yueyang Wang & Quanxi Shao & Rongrong Zhang & Yanli Liu & Zhenchun Hao, 2022. "Vegetation Changing Patterns and Its Sensitivity to Climate Variability across Seven Major Watersheds in China," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    5. Yating Zhao & Chunming Hu & Xi Dong & Jun Li, 2023. "NDVI Characteristics and Influencing Factors of Typical Ecosystems in the Semi-Arid Region of Northern China: A Case Study of the Hulunbuir Grassland," Land, MDPI, vol. 12(3), pages 1-21, March.
    6. Li Wang & Jie Pei & Jing Geng & Zheng Niu, 2019. "Tracking the Spatial–Temporal Evolution of Carbon Emissions in China from 1999 to 2015: A Land Use Perspective," Sustainability, MDPI, vol. 11(17), pages 1-27, August.
    7. Zhang, Siyao & Li, Jianzhu & Zhang, Ting & Feng, Ping & Liu, Weilin, 2024. "Response of vegetation to SPI and driving factors in Chinese mainland," Agricultural Water Management, Elsevier, vol. 291(C).
    8. Haoming Xia & Ainong Li & Gary Feng & Yang Li & Yaochen Qin & Guangbin Lei & Yaoping Cui, 2018. "The Effects of Asymmetric Diurnal Warming on Vegetation Growth of the Tibetan Plateau over the Past Three Decades," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    9. Georgeta Bandoc & Adrian Piticar & Cristian Patriche & Bogdan Roșca & Elena Dragomir, 2022. "Climate Warming-Induced Changes in Plant Phenology in the Most Important Agricultural Region of Romania," Sustainability, MDPI, vol. 14(5), pages 1-23, February.
    10. CholHyok Kang & Yili Zhang & Zhaofeng Wang & Linshan Liu & Huamin Zhang & Yilgwang Jo, 2017. "The Driving Force Analysis of NDVI Dynamics in the Trans-Boundary Tumen River Basin between 2000 and 2015," Sustainability, MDPI, vol. 9(12), pages 1-19, December.
    11. Zhang, Hui & Zhang, Xin & Shang, Yi & Kattel, Giri & Miao, Lijuan, 2021. "Continuously vegetation greening over Inner Mongolia for the past three decades," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(13).
    12. Jie Li & Mengfei Xi & Lijun Wang & Ning Li & Huawei Wang & Fen Qin, 2022. "Vegetation Responses to Climate Change and Anthropogenic Activity in China, 1982 to 2018," IJERPH, MDPI, vol. 19(12), pages 1-20, June.
    13. Mohammed Ifkirne & Quentin Beri & Alex Schaefer & Quoc Bao Pham & Siham Acharki & Abdelouahed Farah, 2022. "Study of the impact of ash fallout from the Icelandic volcano Eyjafjöll (2010) on vegetation using MODIS data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3811-3831, December.
    14. Jing Wu & Yasunori Kurosaki & Chunling Du, 2020. "Evaluation of Climatic and Anthropogenic Impacts on Dust Erodibility: A Case Study in Xilingol Grassland, China," Sustainability, MDPI, vol. 12(2), pages 1-13, January.
    15. Yan Li & Jie Gong & Yunxia Zhang & Bingli Gao, 2022. "NDVI-Based Greening of Alpine Steppe and Its Relationships with Climatic Change and Grazing Intensity in the Southwestern Tibetan Plateau," Land, MDPI, vol. 11(7), pages 1-16, June.

    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:11:y:2019:i:24:p:7243-:d:298894. 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.