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Spatial–Temporal Characteristics of Precipitation and Its Relationship with Land Use/Cover Change on the Qinghai-Tibet Plateau, China

Author

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  • Bo Zhang

    (School of Land Science and Technology, China University of Geosciences Beijing, Beijing 100083, China)

  • Wei Zhou

    (School of Land Science and Technology, China University of Geosciences Beijing, Beijing 100083, China
    Land Consolidation and Rehabilitation Center, Ministry of Natural Resources, Beijing 100035, China)

Abstract

The Qinghai-Tibet Plateau (QTP) is an area sensitive to global climate change, and land use/land cover change (LUCC) plays a vital role in regulating climate system at different temporal and spatial scales. In this study, we analyzed the temporal and spatial trend of precipitation and the characteristics of LUCC on the QTP. Meanwhile, we also used the normalized difference vegetation index (NDVI) as an indicator of LUCC to discuss the relationship between LUCC and precipitation. The results show the following: (1) Annual precipitation showed a fluctuant upward trend at a rate of 11.5 mm/decade in this area from 1967 to 2016; three periods (i.e., 22 years, 12 years, and 2 years) of oscillations in annual precipitation were observed, in which expectant 22 years is the main oscillation period. It was predicted that QTP will still be in the stage of increasing precipitation. (2) The LUCC of the plateau changed apparently from 1980 to 2018. The area of grassland decreased by 9.47%, and the area of unused land increased by 7.25%. From the perspective of spatial distribution, the transfer of grassland to unused land occurred in the western part of the QTP, while the reverse transfer was mainly distributed in the northwestern part of the QTP. (3) NDVI in the northern and southwestern parts of the QTP is positively correlated with precipitation, while negative correlations are mainly distributed in the southeast of the QTP, including parts of Sichuan and Yunnan Province. Our results show that precipitation in the QTP has shown a fluctuating growth trend in recent years, and precipitation and NDVI are mainly positively correlated. Furthermore, we hope that this work can provide a theoretical basis for predicting regional hydrology, climate change, and LUCC research.

Suggested Citation

  • Bo Zhang & Wei Zhou, 2021. "Spatial–Temporal Characteristics of Precipitation and Its Relationship with Land Use/Cover Change on the Qinghai-Tibet Plateau, China," Land, MDPI, vol. 10(3), pages 1-21, March.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:3:p:269-:d:511920
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    References listed on IDEAS

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    1. Weron, Rafał, 2002. "Estimating long-range dependence: finite sample properties and confidence intervals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 285-299.
    2. Yuke Zhou & Junfu Fan & Xiaoying Wang, 2020. "Assessment of varying changes of vegetation and the response to climatic factors using GIMMS NDVI3g on the Tibetan Plateau," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-25, June.
    3. Jane Qiu, 2008. "China: The third pole," Nature, Nature, vol. 454(7203), pages 393-396, July.
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    Citations

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    Cited by:

    1. Yan Chen & Erqi Xu, 2023. "The Spatiotemporal Change in Land Cover and Discrepancies within Different Countries on the Qinghai–Tibet Plateau over a Recent 30-Year Period," Land, MDPI, vol. 12(9), pages 1-21, September.
    2. Wenhang Su & Hailong Wang & Liming Gao, 2024. "Characterizing Shifts in Major Land Use Types and the Response of Water Yield in a Catchment with Widespread Peaty Wetlands," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(15), pages 6121-6138, December.
    3. Yunfei Peng & Fangling Yang & Lingwei Zhu & Ruru Li & Chao Wu & Deng Chen, 2021. "Comparative Analysis of the Factors Influencing Land Use Change for Emerging Industry and Traditional Industry: A Case Study of Shenzhen City, China," Land, MDPI, vol. 10(6), pages 1-17, May.
    4. Hameeda Sultan & Wajid Rashid & Jianbin Shi & Inam ur Rahim & Mohammad Nafees & Eve Bohnett & Sajid Rashid & Muhammad Tariq Khan & Izaz Ali Shah & Heesup Han & Antonio Ariza-Montes, 2022. "Horizon Scan of Transboundary Concerns Impacting Snow Leopard Landscapes in Asia," Land, MDPI, vol. 11(2), pages 1-22, February.
    5. 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.

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