Divergent impacts of snow cover and vegetation on albedo in drylands Central Asia from 2000 to 2023

Surface shortwave albedo (SW albedo) plays a critical role in regulating land-atmosphere energy exchange and influencing regional climate feedback. Over recent decades, the surface conditions in drylands Central Asia have undergone significant transformations. However, the impacts of these surface changes on SW albedo dynamics remain poorly understood. In this study, based on remote sensing data, we systematically investigated the spatial and temporal characteristics of SW albedo in Central Asia from 2000 to 2023, and quantified the driving roles of snow cover fraction (SCF), normalized difference vegetation index (NDVI), and soil moisture (SM) on the changes of SW albedo. The results showed an overall upward trend in SW albedo in Central Asia, with 67% of the regional albedo showing an upward trend, mainly concentrated in the central and western parts of Kazakhstan, whereas the area of SW albedo decline is mainly distributed over most of Xinjiang, China, Uzbekistan and Kyrgyzstan. The results of multiple linear regression and structural equation modeling indicate that SCF is the dominant factor of SW, visible (VIS) and near-infrared (NIR) albedo changes, especially in autumn and winter. NDVI is the second major driving factor, with the most significant influence in summer; SM has a relatively small influence on SW albedo. It is noteworthy that the decrease of SW albedo in Xinjiang was mainly driven by the combined effect of the continuous decrease of SCF and the increase of NDVI. This study contributes to the understanding of key processes of land-atmosphere interactions in drylands and provides an important basis for assessing regional climate feedback mechanisms. • Shortwave albedo (SW albedo) in Central Asian shows a growth trend from 2000 to 2023. • SW albedo shows a broad increase in Kazakhstan and a decrease in Xinjiang. • Snow cover and vegetation together increased SW albedo in Kazakhstan but decreased it in Xinjiang.

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Publication Details

Journal
Environmental and Sustainability Indicators
Published
2026-04-22
DOI
https://doi.org/10.1016/j.indic.2026.101279
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Divergent impacts of snow cover and vegetation on albedo in drylands Central Asia from 2000 to 2023

Guli Jiapaer, Kaixiong Lin, Liancheng Zhang, Jie Bai et al.
Environmental and Sustainability Indicators
Remote Sensing in Agriculture
article

Divergent impacts of snow cover and vegetation on albedo in drylands Central Asia from 2000 to 2023

Guli Jiapaer, Kaixiong Lin, Liancheng Zhang, Jie Bai, Tim Van de Voorde, Cun Chang, Hongwu Liang, Tao Yu, Anming Bao, Tongwei Ju, Pingping Feng, Umuhoza Jeanine
article en

Abstract

Surface shortwave albedo (SW albedo) plays a critical role in regulating land-atmosphere energy exchange and influencing regional climate feedback. Over recent decades, the surface conditions in drylands Central Asia have undergone significant transformations. However, the impacts of these surface changes on SW albedo dynamics remain poorly understood. In this study, based on remote sensing data, we systematically investigated the spatial and temporal characteristics of SW albedo in Central Asia from 2000 to 2023, and quantified the driving roles of snow cover fraction (SCF), normalized difference vegetation index (NDVI), and soil moisture (SM) on the changes of SW albedo. The results showed an overall upward trend in SW albedo in Central Asia, with 67% of the regional albedo showing an upward trend, mainly concentrated in the central and western parts of Kazakhstan, whereas the area of SW albedo decline is mainly distributed over most of Xinjiang, China, Uzbekistan and Kyrgyzstan. The results of multiple linear regression and structural equation modeling indicate that SCF is the dominant factor of SW, visible (VIS) and near-infrared (NIR) albedo changes, especially in autumn and winter. NDVI is the second major driving factor, with the most significant influence in summer; SM has a relatively small influence on SW albedo. It is noteworthy that the decrease of SW albedo in Xinjiang was mainly driven by the combined effect of the continuous decrease of SCF and the increase of NDVI. This study contributes to the understanding of key processes of land-atmosphere interactions in drylands and provides an important basis for assessing regional climate feedback mechanisms. • Shortwave albedo (SW albedo) in Central Asian shows a growth trend from 2000 to 2023. • SW albedo shows a broad increase in Kazakhstan and a decrease in Xinjiang. • Snow cover and vegetation together increased SW albedo in Kazakhstan but decreased it in Xinjiang.

Environmental and Sustainability IndicatorsVol. 31
Ghent University (BE), International Center for Chemical and Biological Sciences (PK), Institute of Environment and Sustainable Development in Agriculture (CN), University of Chinese Academy of Sciences (CN)
Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
Climate action
Openalex Percentile: Top 16%
Remote Sensing in Agriculture
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