Niu et al. (2025) Grassland NDVI in Ngari Prefecture, Tibet Autonomous Region Remains Dominantly Increasing After Filtering Out Climatic Effects (2000–2024)

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Identification

• Journal: Grasses
• Year: 2025
• Date: 2025-12-03
• Authors: Haishan Niu, Tsechoe Dorji, Shiping Wang
• DOI: 10.3390/grasses4040049

Research Groups

Not explicitly mentioned in the provided text.

Short Summary

This study quantifies the influence of non-climatic factors on grassland greening in Ngari, Tibet, from 2000 to 2024, demonstrating a net positive effect after statistically removing climatic drivers.

Objective

• To quantify the effect of non-climatic factors on grassland greening trends in Ngari, Tibet, by statistically controlling for climatic influences on Normalized Difference Vegetation Index (NDVI).

Study Configuration

• Spatial Scale: Ngari, Tibet Autonomous Region.
• Temporal Scale: 2000–2024.

Methodology and Data

• Models used: Multiple regression model (to predict NDVI based on climate variables), Kendall Tau method (for residual trend analysis).
• Data sources: Remote sensing data (for NDVI), climate variables (July–August Standardized Precipitation Evapotranspiration Index (SPEI), April–July precipitation, mean temperature).

Main Results

• Overall grassland NDVI in Ngari increased from 2000 to 2024.
• Before removing climate effects, 73% of pixels showed a positive Kendall Tau trend, with 34% being statistically significant (p < 0.05).
• The most effective climate model incorporated July–August SPEI, April–July precipitation, and mean temperature.
• After statistically removing climate effects, 74.1% of pixels exhibited a positive Kendall Tau trend in the residuals, with 21% being statistically significant (p < 0.05).
• This indicates that non-climatic factors exerted a net positive influence on Ngari’s grassland trends during the study period.

Contributions

• Provides a quantitative assessment of the net positive influence of non-climatic factors on grassland greening in a temperature and moisture-constrained region (Ngari, Tibet).
• Statistically separates the effects of non-climatic factors from climatic drivers on vegetation dynamics, enhancing understanding beyond general greening trends.

Funding

Not explicitly mentioned in the provided text.

Citation

@article{Niu2025Grassland,
  author = {Niu, Haishan and Dorji, Tsechoe and Wang, Shiping},
  title = {Grassland NDVI in Ngari Prefecture, Tibet Autonomous Region Remains Dominantly Increasing After Filtering Out Climatic Effects (2000–2024)},
  journal = {Grasses},
  year = {2025},
  doi = {10.3390/grasses4040049},
  url = {https://doi.org/10.3390/grasses4040049}
}