Tibetan railway induced slight carbon loss: photosynthetic capacity decrease offsets growing season length increase in grasslands

The Tibetan Railway has introduced pressures on the fragile grassland ecosystems of the Tibetan Plateau. However, the impact of the railway on the carbon sequestration remains unclear, as existing studies primarily focus on in-situ vegetation observations. In this study, we extracted the start and end of the growing season (SOS, EOS) and maximum daily GPP (GPPmax) along the railway corridor from the satellite-derived Gross Primary Productivity (GPP) data, and quantified the extent and intensity of the railway's disturbance on these indicators. We further employed the Statistical Model of Integrated Phenology and Physiology (SMIPP) to translate these disturbances into annual cumulative GPP (GPPann). Results show that Tibetan Railway significantly influences grassland within 50-meters, causing earlier SOS (0.1086 d m<sup>−1</sup>), delayed EOS (0.0646 d m<sup>−1</sup>), and reduced GPPmax (0.0069 gC m<sup>−2</sup> d<sup>−1</sup> m<sup>−1</sup>) as the distance to the railway gets closer. The advanced SOS and delayed EOS contributed gains of 28.82 and 104.26 MgC y<sup>−1</sup>, but reduction in GPPmax accounted for a loss of 2952.79 MgC y<sup>−1</sup>. Railway-induced phenology-physiology trade-off causes GPPann loss of 2819.71 MgC y<sup>−1</sup>. This study reveals Tibetan Railway's impact on grassland carbon cycling, offering insights for grassland conservation and sustainable transportation infrastructure projects.

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Publication Details

Journal
International Journal of Digital Earth
Published
2025-09-23
DOI
https://doi.org/10.1080/17538947.2025.2554326
Primary Topic
Aeolian processes and effects
Type
article
Field-Weighted Citation Impact
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article

Tibetan railway induced slight carbon loss: photosynthetic capacity decrease offsets growing season length increase in grasslands

Yajie Yang, Zhou Lu, Gaofei Yin, Aleixandre Verger et al.
International Journal of Digital Earth
Aeolian processes and effects
article

Tibetan railway induced slight carbon loss: photosynthetic capacity decrease offsets growing season length increase in grasslands

Yajie Yang, Zhou Lu, Gaofei Yin, Aleixandre Verger, Meilian Wang, Josep Peñuelas, Iolanda Filella, Qiaoyun Xie, Rui Chen, Dujuan Ma, Adrià Descals, Jiangliu Xie, Lin Huang, Guodong Zhang, Changjing Wang
article en

Abstract

The Tibetan Railway has introduced pressures on the fragile grassland ecosystems of the Tibetan Plateau. However, the impact of the railway on the carbon sequestration remains unclear, as existing studies primarily focus on in-situ vegetation observations. In this study, we extracted the start and end of the growing season (SOS, EOS) and maximum daily GPP (GPPmax) along the railway corridor from the satellite-derived Gross Primary Productivity (GPP) data, and quantified the extent and intensity of the railway's disturbance on these indicators. We further employed the Statistical Model of Integrated Phenology and Physiology (SMIPP) to translate these disturbances into annual cumulative GPP (GPPann). Results show that Tibetan Railway significantly influences grassland within 50-meters, causing earlier SOS (0.1086 d m<sup>−1</sup>), delayed EOS (0.0646 d m<sup>−1</sup>), and reduced GPPmax (0.0069 gC m<sup>−2</sup> d<sup>−1</sup> m<sup>−1</sup>) as the distance to the railway gets closer. The advanced SOS and delayed EOS contributed gains of 28.82 and 104.26 MgC y<sup>−1</sup>, but reduction in GPPmax accounted for a loss of 2952.79 MgC y<sup>−1</sup>. Railway-induced phenology-physiology trade-off causes GPPann loss of 2819.71 MgC y<sup>−1</sup>. This study reveals Tibetan Railway's impact on grassland carbon cycling, offering insights for grassland conservation and sustainable transportation infrastructure projects.

International Journal of Digital EarthVol. 18(2)
Consejo Superior de Investigaciones Científicas (ES), The University of Western Australia (AU), Chinese Academy of Sciences (CN), Centre d'Investigacions sobre Desertificació (ES), Centre for Research on Ecology and Forestry Applications (ES), China Railway Group (China) (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Southwest Jiaotong University (CN)
Openalex Percentile: Top 72%
Aeolian processes and effects
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