Spatiotemporal pattern and prediction model of normalized difference vegetation index in the Yellow River Source Zone
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Summary
This summary is machine-generated.Vegetation in the Yellow River Source Zone shows significant growth, increasing by 18.9% from 2000-2020. Wind speed, precipitation, and temperature were key drivers of this normalized difference vegetation index (NDVI) change.
Area Of Science
- Ecology
- Environmental Science
- Remote Sensing
Background
- The Yellow River Source Zone is a vital ecological barrier for the Yellow River Basin.
- It plays a crucial role in water conservation, climate regulation, and biodiversity protection.
Purpose Of The Study
- To analyze the spatiotemporal variations and driving mechanisms of the normalized difference vegetation index (NDVI) in the Yellow River Source Zone from 2000-2020.
- To construct a prediction model for NDVI changes.
Main Methods
- Integrated MODIS remote sensing images, meteorological, hydrological, and terrain data.
- Employed Sen slope method, partial correlation analysis, variance inflation factor analysis, interaction detection, random forests, and geographically weighted random forests models.
Main Results
- Annual NDVI increased significantly by 18.9% (0.0028·a<sup>-1</sup>) from 0.3301 to 0.3924 between 2000-2020.
- NDVI showed an increasing trend from northwest to southeast.
- Wind speed, precipitation, and minimum temperature were identified as primary drivers of NDVI changes, with complex interactions.
Conclusions
- The geographically weighted random forest model significantly outperformed the random forest model in predicting NDVI, achieving R<sup>2</sup>=0.976.
- This highlights the model's effectiveness in capturing spatial heterogeneity and local driving mechanisms.
- The study provides valuable insights into vegetation dynamics and their drivers in the Yellow River Source Zone.
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