Climate change and non-climatic drivers jointly enhanced the NDVI of alpine grassland in the Source Region of the Yellow River (2000–2022)

The source region of the Yellow River (SRYR) is a vital water conservation area with substantial spatial heterogeneity in grassland vegetation. Yet the respective contributions of climate change and non-climatic drivers s to that variability remain unclear. This study quantified the relative impacts of climate and non-climatic factors on alpine grassland vegetation dynamics in Maqin County, a typical pastoral area in the SRYR, from 2000 to 2022. Multiple linear regression and residual analysis were used to disentangle climate change and non-climatic drivers to the changes in the Normalized Difference Vegetation Index (NDVI). The results showed that grassland NDVI exhibited a significant positive trend from 2000 to 2022 ( P < 0.05), with 72.84% of the study area showing improvement. Spatially, NDVI displayed a “southeast-high and northwest-low” pattern, driven by differential responses to temperature and precipitation, with temperature being the dominant climatic factor. Climatic change and non-climatic influences jointly dominated vegetation dynamics (affecting 74.67% of the area), with their combined effect exceeding those of either factor alone. Climate change accounted for 51.86% of the variation in NDVI, slightly higher than that explained by non-climatic drivers (48.14%). Overall, a warming and wetting climate has promoted the restoration of alpine grassland, while sustained human interventions (e.g., ecological projects) have become an essential role. These findings provide a promising scientific basis for adaptive management in ecologically sensitive pastoral regions.

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Publication Details

Journal
Frontiers in Ecology and Evolution
Published
2026-04-17
DOI
https://doi.org/10.3389/fevo.2026.1748078
Primary Topic
Remote Sensing in Agriculture
Type
article
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article

Climate change and non-climatic drivers jointly enhanced the NDVI of alpine grassland in the Source Region of the Yellow River (2000–2022)

Yichang Gao, Liang Yan, A. Y. Yang, Zhongqing Yan et al.
Frontiers in Ecology and Evolution
Remote Sensing in Agriculture
article

Climate change and non-climatic drivers jointly enhanced the NDVI of alpine grassland in the Source Region of the Yellow River (2000–2022)

Yichang Gao, Liang Yan, A. Y. Yang, Zhongqing Yan, Yuechuan Niu, X N Zhang, Xiaoming Kang, M. An, Wenru Zhao, Kerou Zhang, Yong Li, Huan Wang
article en

Abstract

The source region of the Yellow River (SRYR) is a vital water conservation area with substantial spatial heterogeneity in grassland vegetation. Yet the respective contributions of climate change and non-climatic drivers s to that variability remain unclear. This study quantified the relative impacts of climate and non-climatic factors on alpine grassland vegetation dynamics in Maqin County, a typical pastoral area in the SRYR, from 2000 to 2022. Multiple linear regression and residual analysis were used to disentangle climate change and non-climatic drivers to the changes in the Normalized Difference Vegetation Index (NDVI). The results showed that grassland NDVI exhibited a significant positive trend from 2000 to 2022 ( P < 0.05), with 72.84% of the study area showing improvement. Spatially, NDVI displayed a “southeast-high and northwest-low” pattern, driven by differential responses to temperature and precipitation, with temperature being the dominant climatic factor. Climatic change and non-climatic influences jointly dominated vegetation dynamics (affecting 74.67% of the area), with their combined effect exceeding those of either factor alone. Climate change accounted for 51.86% of the variation in NDVI, slightly higher than that explained by non-climatic drivers (48.14%). Overall, a warming and wetting climate has promoted the restoration of alpine grassland, while sustained human interventions (e.g., ecological projects) have become an essential role. These findings provide a promising scientific basis for adaptive management in ecologically sensitive pastoral regions.

Frontiers in Ecology and EvolutionVol. 14
Chinese Academy of Sciences (CN), Institute of Wetland Research (CN), Institute of Tibetan Plateau Research (CN), University of Chinese Academy of Sciences (CN), Ecosystem Sciences (AU)
Climate action
Openalex Percentile: Top 19%
Remote Sensing in Agriculture
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