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

Forests, Journal Year: 2025, Volume and Issue: 16(2), P. 307 - 307

Published: Feb. 10, 2025

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

Language: Английский

Spatiotemporal Dynamics and Response of Land Surface Temperature and Kernel Normalized Difference Vegetation Index in Yangtze River Economic Belt, China: Multi-Method Analysis

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 598 - 598

Published: March 12, 2025

As global climate change intensifies, its impact on the ecological environment is becoming increasingly pronounced. Among these, land surface temperature (LST) and vegetation cover status, as key indicators, have garnered widespread attention. This study analyzes spatiotemporal dynamics of LST Kernel Normalized Difference Vegetation Index (KNDVI) in 11 provinces along Yangtze River their response to based MODIS Terra satellite data from 2000 2020. The linear regression showed a significant KNDVI increase 0.003/year (p < 0.05) rise 0.065 °C/year 0.01). Principal Component Analysis (PCA) explained 74.5% variance, highlighting dominant influence urbanization. K-means clustering identified three regional patterns, with Shanghai forming distinct group due low variability. Generalized Additive Model (GAM) analysis revealed nonlinear LST–KNDVI relationship, most evident Hunan, where cooling effects weakened beyond threshold 0.25. Despite 0.07 increase, high-temperature areas Chongqing Jiangsu expanded by over 2500 km2, indicating limited mitigation. reveals complex interaction between KNDVI, which may provide scientific basis for development management adaptation strategies.

Language: Английский

Exploring ecological evolution and driving forces in arid desert oases: A case study of the Ejina Oasis in China

Quaternary International, Journal Year: 2025, Volume and Issue: 727, P. 109764 - 109764

Published: March 27, 2025

Language: Английский