Spatiotemporal Variation of Vegetation Coverage and Its Driving Factors in the Beijing-Tianjin-Hebei Region Based on the Google Earth Engine Platform

Yujun Sun

doi:10.54097/e57a5s41

Authors

Yujun Sun

DOI:

https://doi.org/10.54097/e57a5s41

Keywords:

Fractional Vegetation Cover; Spatiotemporal Dynamics; Beijing-Tianjin-Hebei; Google Earth Engine.

Abstract

Fractional Vegetation Cover (FVC) is an important indicator for evaluating the quality of regional ecological environments and sustainable development. As a core region of China's socio-economic development, the Beijing-Tianjin-Hebei area experiences vegetation dynamics that are significantly influenced by both intensive human activities and climate change. This study aims to reveal the spatiotemporal patterns of vegetation coverage in the Beijing-Tianjin-Hebei region from 2000 to 2023, and to identify the major climatic driving factors, with the goal of providing scientific support for regional ecological conservation and coordinated development policymaking. On this basis, a combination of methods including the Theil-Sen (Sen’s) slope estimator, Mann-Kendall (MK) test, Hurst exponent analysis, and partial correlation analysis was comprehensively applied. An in-depth analysis was conducted on the spatiotemporal dynamics of FVC, its future persistence, and its relationships with temperature and precipitation. The results indicate that: (1) Spatially, the FVC in the Beijing-Tianjin-Hebei region exhibits a distinct "northwest-high, southeast-low" distribution pattern. Temporally, the region experienced three phases: rapid increase (2000–2010), significant decline (2010–2015), and restorative growth (2015–2023).(2) Vegetation improvement areas (47.90%) and degradation areas (41.68%) show strong spatial heterogeneity, and up to 59.83% of the region exhibits anti-persistent characteristics in vegetation dynamics.(3) Precipitation serves as a positive driving factor for improved FVC, while the influence of temperature exhibits spatial heterogeneity. The results of this study highlight the need for future regional ecological management to shift from solely pursuing increases in vegetation coverage toward enhancing ecosystem quality and resilience, and to develop adaptive strategies to address potential ecological risks.

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References

[1] T. Yu, P. Yang, X. Deng, et al. Fanjingshan long-term vegetation coverage change trend and comparative analysis, Bulletin of Surveying and Mapping, (2023) No.10, p.1-6. (In Chinese)

[2] X.N. Zhou, R.J. Ba, C.Z. Xiao, et al. Soil characteristics and spatiotemporal changes of vegetation in the lower section of the arid valley area of the upper Minjiang River based on geological construction, Modern Geology, Vol.38 (2024) No.3, p.660-673. (In Chinese)

[3] W.Y. Li, A.J. Lan, Z.M. Fan, et al. Dynamic evaluation of ecological environment quality and its driving factors in the ecological functional zone of Central Guizhou cities, Progress in Geophysics, Vol.39 (2024) No.5, p.1749-1762. (In Chinese)

[4] Z.H. Liu, Q.L. Yuan, C. Li, et al. Synergistic effect of low-carbon economy and high-quality development under the “dual-carbon” strategy: A case study of Beijing-Tianjin-Hebei urban agglomeration, Environmental Science, Vol.45 (2024) No.11, p.6301-6312. (In Chinese)

[5] S.L. Yu, S.L. Wang. Strict law enforcement and supervision to create an ecological security barrier in the capital, China Environmental Monitoring, (2019) No.11, p.48-51. (In Chinese)

[6] S.D. Li, D.Q. Feng. World-renowned ecological project—China’s “Three-North Shelterbelt Program”, Zhejiang Forestry, (2021) No.9, p.9-11. (In Chinese)

[7] J.Y. Wang, Y.Y. Zhao, J. Geng, et al. Supply and demand matching relationship of ecosystem services in the Beijing-Tianjin sandstorm source control project area, Transactions of the Chinese Society of Agricultural Engineering, Vol.41 (2025) No.4, p.279-287. (In Chinese)

[8] J. Shi. Thoughts and countermeasure suggestions on promoting the greening of Taihang Mountains in Hebei, National Afforestation, (2023) No.11, p.68-70. (In Chinese)

[9] Y.Q. Ma, J.H. Li, W. Cao, et al. Estimation of carbon sequestration potential and contribution of returning farmland to forest and grassland in Beijing-Tianjin-Hebei region, Acta Geographica Sinica, Vol.79 (2024) No.3, p.732-746. (In Chinese)

[10] H. Tamiminia, B. Salehi, M. Mahdianpari, et al. Google Earth Engine for geo-big data applications: A meta-analysis and systematic review, ISPRS Journal of Photogrammetry and Remote Sensing, Vol.164 (2020), p.152-170.

[11] M.L. Song, H.T. Chen, H. Ding, et al. Spatiotemporal evolution characteristics and influencing factors of vegetation coverage in Tianjin from 1990 to 2020, Research of Soil and Water Conservation, Vol.30 (2023) No.1, p.154-163. (In Chinese)

[12] L.C. Xu, L. Deng, J. Chen, et al. Spatiotemporal changes and characteristic analysis of vegetation coverage in the Yangtze River Delta based on GEE, Beijing Surveying and Mapping, Vol.38 (2024) No.3, p.387-392. (In Chinese)

[13] J.J. Lu, L.G. Sun, L. Zuo, et al. Spatiotemporal evolution characteristics and influencing factors of vegetation coverage based on functional zoning in Beijing-Tianjin-Hebei region, Remote Sensing for Natural Resources, Vol.36 (2024) No.4, p.242-253. (In Chinese)

[14] S.Z. Peng. China 1km monthly precipitation dataset (1901–2024), National Tibetan Plateau Data Center (2020). (In Chinese)

[15] S.Z. Peng. China 1km monthly average temperature dataset (1901–2023), National Tibetan Plateau Data Center (2019). (In Chinese)

[16] J. Yang, X. Huang. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019, Earth System Science Data, Vol.13 (2021) No.8, p.3907-3925.

[17] Y.T. Liu, L. Wang, X.H. Li, et al. Spatiotemporal variation and influencing factors of vegetation coverage in Southwest China from 2000 to 2020, Plateau Meteorology, Vol.43 (2024) No.1, p.264-276. (In Chinese)

[18] D.L. Wang, A.X. Su, W.P. Liu. Comparative study on several methods of vegetation coverage change trend analysis, Anhui Agricultural Science, Vol.47 (2019) No.5, p.10-14. (In Chinese)

[19] M.L. Deng, F.G. Jiang, Y. Long, et al. Dynamic change and spatiotemporal pattern analysis of vegetation NDVI in Shenmu City, Journal of Central South University of Forestry and Technology, Vol.43 (2023) No.7, p.109-119. (In Chinese)