Mechanisms of climate change impacts on vegetation and prediction of changes on the Loess Plateau, China

Gou, Yongcheng; Jin, Zhao; Kou, Pinglang; Tao, Yuxiang; Xu, Qiang; Zhu, Wenchen; Tian, Haibo

doi:10.1007/s12665-024-11559-5

Environ Earth Sci

2024

DOI: 10.1007/s12665-024-11559-5

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Mechanisms of climate change impacts on vegetation and prediction of changes on the Loess Plateau, China

Yongcheng Gou,

Zhao Jin,

Pinglang Kou

et al.

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Cited by 4 publications

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Detecting and attributing the impact of human activities on grassland aboveground biomass in China's Loess Plateau

Wei,

Pei,

Fang

et al. 2024

Journal of Environmental Management

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Detecting and attributing the impact of human activities on grassland aboveground biomass in China's Loess Plateau

Wei,

Pei,

Fang

et al. 2024

Journal of Environmental Management

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Evaluating vegetation dynamics in the Yangtze river basin in relation to climatological parameters using remote sensing data from 2001 to 2022

Li,

Zhang,

Rousta

et al. 2024

Int. Agrophys.

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Land Surface Temperature May Have a Greater Impact than Air Temperature on the Autumn Phenology in the Tibetan Plateau

Tang,

Sun,

Zhou

et al. 2024

Forests

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The Tibetan Plateau (TP), with its unique geographical and climatic conditions, holds a significant role in global climate change. Therefore, it is particularly urgent to fully understand its vegetation phenology. Herbaceous plants are widely distributed in the TP. However, previous studies have predominantly examined the impact of air temperature on the end date of the vegetation growing season (EOS), with less emphasis on the influence of land surface temperature (LST). In this study, the dynamic changes in the EOS from 2001 to 2020 were analyzed by utilizing the Normalized Difference Vegetation Index (NDVI) data published by NASA. Furthermore, the impact of climate change on the EOS was examined, and the dominant factor (air temperature, LST, or precipitation) influencing the EOS was identified. The main findings were as follows: the average annual EOS predominantly occurred between day of year (DOY) 240 and 280, with an advance from the edge of the plateau to the center. The EOS across the entire region displayed a marginal tendency towards delay, with an average rate of 0.017 days/year. Among all vegetation, shrubs showed the most pronounced delay at a rate of 0.04 days/year. In terms of precipitation, the impact of climate change increased precipitation in both summer and autumn, which could delay EOS. In terms of temperature, an increase in summer Tmin, autumn air temperatures and summer LST delayed the EOS, while an increase in autumn LST advanced the EOS. Compared to air temperature and precipitation, LST had a stronger controlling effect on the EOS (the largest pixel area dominated by LST). These results could offer new insights for enhancing the parameters of vegetation phenology models across the TP.

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Mechanisms of climate change impacts on vegetation and prediction of changes on the Loess Plateau, China

Cited by 4 publications

References 50 publications

Detecting and attributing the impact of human activities on grassland aboveground biomass in China's Loess Plateau

Detecting and attributing the impact of human activities on grassland aboveground biomass in China's Loess Plateau

Evaluating vegetation dynamics in the Yangtze river basin in relation to climatological parameters using remote sensing data from 2001 to 2022

Land Surface Temperature May Have a Greater Impact than Air Temperature on the Autumn Phenology in the Tibetan Plateau

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