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Article

kNDVI Spatiotemporal Variations and Climate Lag on Qilian Southern Slope: Sen–Mann–Kendall and Hurst Index Analyses for Ecological Insights

1
Qinghai Provincial Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China
2
Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation (Ministry of Education), Qinghai Normal University, Xining 810008, China
3
Academy of Plateau Science and Sustainability, People’s Government of Qinghai Province and Beijing Normal University, Xining 810008, China
*
Author to whom correspondence should be addressed.
Forests 2025, 16(2), 307; https://doi.org/10.3390/f16020307
Submission received: 23 December 2024 / Revised: 25 January 2025 / Accepted: 5 February 2025 / Published: 10 February 2025
(This article belongs to the Section Forest Ecology and Management)

Abstract

In the context of climate change, the southern slope of the Qilian Mountains stands as a pivotal region for China’s ecological security, holding immense significance for sustaining ecological sustainable development. This study aims to precisely monitor and predict the dynamic changes in vegetation cover within this region, along with their time-lagged effects on climate change, thereby providing a scientific basis for ecological management. By calculating the kNDVI from 2001 to 2020 on the Google Earth Engine (GEE) platform, and integrating the Sen’s trend analysis, Hurst exponent, and partial correlation analysis, we have conducted an in-depth exploration of the long-term spatiotemporal variations in kNDVI on the southern slope of the Qilian Mountains and its delayed responses to climate factors. The primary research findings can be summarized as follows: The kNDVI on the southern slope of the Qilian Mountains exhibits an overall positive trend, with notable geographical variations in its spatial distribution. The proportion of areas showing vegetation improvement is as high as 84%, while degraded areas account for only 17%. Furthermore, there is an average lag response of 1.6 months for kNDVI to precipitation and 0.6 months to temperature in this region. The response speed positively correlates with the time-lagged partial correlation coefficient between kNDVI and climate factors. Notably, kNDVI is more sensitive to temperature variations in the southern slope area of the Qilian Mountains. This study not only fills the gap in long-term kNDVI monitoring for the southern slope of the Qilian Mountains but also offers scientific support for ecological governance and green development initiatives in the region. Additionally, it showcases the innovative application of advanced remote sensing technologies and statistical analysis methods in ecological research, providing fresh perspectives for future ecological management strategies. These findings hold profound implications for promoting sustainable development and ecological conservation in the Qilian Mountains area.
Keywords: spatiotemporal changes; stability; hurst exponent; time delay effect spatiotemporal changes; stability; hurst exponent; time delay effect

Share and Cite

MDPI and ACS Style

Zhang, Q.; Cao, G.; Zhao, M.; Zhang, Y. kNDVI Spatiotemporal Variations and Climate Lag on Qilian Southern Slope: Sen–Mann–Kendall and Hurst Index Analyses for Ecological Insights. Forests 2025, 16, 307. https://doi.org/10.3390/f16020307

AMA Style

Zhang Q, Cao G, Zhao M, Zhang Y. kNDVI Spatiotemporal Variations and Climate Lag on Qilian Southern Slope: Sen–Mann–Kendall and Hurst Index Analyses for Ecological Insights. Forests. 2025; 16(2):307. https://doi.org/10.3390/f16020307

Chicago/Turabian Style

Zhang, Qian, Guangchao Cao, Meiliang Zhao, and Yi Zhang. 2025. "kNDVI Spatiotemporal Variations and Climate Lag on Qilian Southern Slope: Sen–Mann–Kendall and Hurst Index Analyses for Ecological Insights" Forests 16, no. 2: 307. https://doi.org/10.3390/f16020307

APA Style

Zhang, Q., Cao, G., Zhao, M., & Zhang, Y. (2025). kNDVI Spatiotemporal Variations and Climate Lag on Qilian Southern Slope: Sen–Mann–Kendall and Hurst Index Analyses for Ecological Insights. Forests, 16(2), 307. https://doi.org/10.3390/f16020307

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