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    Characterizing the responses of vegetation to climate change in the Tibet Plateau using remote sensing data

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    Author
    An, Chunchun
    Fan, Jianrong
    Zhang, Yanfen
    Yan, Dong
    Affiliation
    Univ Arizona, Sch Nat Resources & Environm
    Issue Date
    2018-03
    Keywords
    climate change
    normalized difference vegetation index
    tropical rainfall measuring mission precipitation
    land surface temperature
    Tibet
    
    Metadata
    Show full item record
    Publisher
    SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
    Citation
    Chunchun An, Jianrong Fan, Yanfen Zhang, Dong Yan, "Characterizing the responses of vegetation to climate change in the Tibet Plateau using remote sensing data," Journal of Applied Remote Sensing 12(1), 016035 (9 March 2018). https://doi.org/10.1117/1.JRS.12.016035
    Journal
    JOURNAL OF APPLIED REMOTE SENSING
    Rights
    © 2018 SPIE.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    It is of great significance to investigate the changes in vegetation and its response to climate change in Tibet due to the sensitivity and vulnerability of the area to climate change. The spatiotemporal pattern of the normalized difference vegetation index (NDVI) and its trends between 2001 and 2015 were depicted using NDVI from the moderate resolution imaging spectroradiometer (MODIS). The responses of vegetation to climatic variables were analyzed through linear regression and correlation analysis with tropical rainfall measuring mission precipitation data and MODIS land surface temperature (LST) data. The results showed that (1) the average annual NDVI gradually decreased from the southeast to the northwest in accordance with the variations in LST and precipitation, (2) the annual NDVI increased from 2001 to 2015 at a rate of 0.3 x 10(-3) per year. The LST exhibited an average annual increase of 0.05 degrees C while precipitation remained relatively stable, (3) the correlation between NDVI and precipitation was positive in the central region, whereas it became negative in the southeast and northeast. The correlation between NDVI and LST was opposite of that between NDVI and precipitation, and (4) the increases in NDVI in the tropical monsoon rain forest and rain forest, subalpine coniferous forest, and alpine meadow vegetation types in the southeast depended more on LST than precipitation. In contrast, the increases in NDVI responded strongly to precipitation in the alpine bush and meadow, alpine grassland, alpine desert, and alpine desert steppe vegetation types in the northwest. (c) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
    ISSN
    1931-3195
    DOI
    10.1117/1.JRS.12.016035
    Version
    Final published version
    Sponsors
    Science and Technology Service Network Initiative of the Chinese Academy of Science [KFJ-STS-ZDTP-015]; National Natural Science Foundation of China [41661144028]
    Additional Links
    https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-12/issue-01/016035/Characterizing-the-responses-of-vegetation-to-climate-change-in-the/10.1117/1.JRS.12.016035.full
    ae974a485f413a2113503eed53cd6c53
    10.1117/1.JRS.12.016035
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