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Article

Human Activities Dominantly Driven the Greening of China During 2001 to 2020

1
School of Computer Science, Hubei University of Technology, Wuhan 430068, China
2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(14), 2446; https://doi.org/10.3390/rs17142446
Submission received: 16 June 2025 / Revised: 12 July 2025 / Accepted: 12 July 2025 / Published: 15 July 2025

Abstract

Vegetation is a fundamental component of terrestrial ecosystems. Understanding how vegetation changes and what drives these evolutions is crucial for developing a high-quality ecological environment and addressing global climate change. Extensive evidence has shown that China has undergone substantial vegetation changes, characterized primarily by greening. To quantify vegetation dynamics in China and assess the contributions of various drivers, we explored the spatiotemporal variations in the kernel Normalized Difference Vegetation Index (kNDVI) from 2001 to 2020, and quantitatively separated the influences of climate and human factors. The kNDVI time series were generated from the MCD19A1 v061 dataset based on the Google Earth Engine (GEE) platform. We employed the Theil-Sen trend analysis, the Mann-Kendall test, and the Hurst index to analyze the historical patterns and future trajectories of kNDVI. Residual analysis was then applied to determine the relative contributions of climate change and human activities to vegetation dynamics across China. The results show that from 2001 to 2020, vegetation in China showed a fluctuating but predominantly increasing trend, with a significant annual kNDVI growth rate of 0.002. The significant greening pattern was observed in over 48% of vegetated areas, exhibiting a clear spatial gradient with lower increases in the northwest and higher amplitudes in the southeast. Moreover, more than 60% of vegetation areas are projected to experience a sustained increase in the future. Residual analysis reveals that climate change contributed 21.89% to vegetation changes, while human activities accounted for 78.11%, being the dominant drivers of vegetation variation. This finding is further supported by partial correlation analysis between kNDVI and temperature, precipitation, and the human footprint. Vegetation dynamics were found to respond more strongly to human influences than to climate drivers, underscoring the leading role of human activities. Further analysis of tree cover fraction and cropping intensity data indicates that the greening in forests and croplands is primarily attributable to large-scale afforestation efforts and improved agricultural management.
Keywords: vegetation variation; kNDVI; human activities; climate change; relative contribution; China vegetation variation; kNDVI; human activities; climate change; relative contribution; China
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MDPI and ACS Style

Chang, X.; Tian, Z.; Chen, Y.; Bai, T.; Song, Z.; Sun, K. Human Activities Dominantly Driven the Greening of China During 2001 to 2020. Remote Sens. 2025, 17, 2446. https://doi.org/10.3390/rs17142446

AMA Style

Chang X, Tian Z, Chen Y, Bai T, Song Z, Sun K. Human Activities Dominantly Driven the Greening of China During 2001 to 2020. Remote Sensing. 2025; 17(14):2446. https://doi.org/10.3390/rs17142446

Chicago/Turabian Style

Chang, Xueli, Zhangzhi Tian, Yepei Chen, Ting Bai, Zhina Song, and Kaimin Sun. 2025. "Human Activities Dominantly Driven the Greening of China During 2001 to 2020" Remote Sensing 17, no. 14: 2446. https://doi.org/10.3390/rs17142446

APA Style

Chang, X., Tian, Z., Chen, Y., Bai, T., Song, Z., & Sun, K. (2025). Human Activities Dominantly Driven the Greening of China During 2001 to 2020. Remote Sensing, 17(14), 2446. https://doi.org/10.3390/rs17142446

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