Simulation and Attribution Analysis of TerrestrialEcosystem Carbon Storage in the YarlungZangbo River and the Two Tributariesof the Qinghai-Tibet Plateau

Terrestrial ecosystem carbon stock (TECS) plays a vital role as a worldwide carbon sink, helping to mitigate global warming and lower atmospheric CO 2 levels.TECS serves as a reliable indicator for predicting global climate change.The patch generation land use simulation model incorporated human and socioeconomic factors and considered global sustainable development.Various sharedsocioeconomic pathway-representative concentration pathway (SSP-RCP) scenarios were used to simulate and predict land use types in the Yarlung Zangbo River and Its Two Tributaries (YZRTT) basin on the Qinghai-Tibet Plateau (TQP).An integrated evaluation model of ecosystem services and trade-offs was employed to estimate the TECS of the YZRTT basin accurately during the same period.The potential factors influencing TECS were examined utilizing pairwise and single components in the geographical detector.In the SSP1-2.6 scenario, the TECS of the YZRTT basin will reach its highest point by 2050.This is mainly attributed to converting a significant portion of grassland into forest, resulting in the forest area reaching its maximum capacity.The expansion of cropland and constructed land area has been successfully restricted.The land area in the YZRTT basin would generally decline, except for the SSP5-8.5 scenario.Due to the rapid urbanization and growth of towns and cities, the existing developed land will be converted into cropland, artificial forests, and water bodies.The TECS of the YZRTT basin are projected to rise under various Shared Socioeconomic Pathway-Representative Concentration Pathway (SSP-RCP) scenarios.The relationship between the Digital Elevation Model (DEM) and TECS is negatively correlated, meaning that as DEM increases, TECS decreases.Settlements further away from the area tend to have higher TECS values.Anthropogenic influences significantly increase TECS in the YZRTT basin, eventually becoming the dominant factor.To enhance the TECS of the YZRTT basin, it is imperative for governments at all administrative levels Pol.J. Environ.Stud.Vol.XX, No. X (XXXX),[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] within the basin to strategically plan the development of roads and other infrastructure while also imposing restrictions on the growth of constructed land.

Authors

Publication Details

Journal
Polish Journal of Environmental Studies
Published
2025-04-29
DOI
https://doi.org/10.15244/pjoes/203048
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation and Attribution Analysis of TerrestrialEcosystem Carbon Storage in the YarlungZangbo River and the Two Tributariesof the Qinghai-Tibet Plateau

Shillong Li, Wenyuan Hao, Xingle Qu, Zhen Xing et al.
Polish Journal of Environmental Studies
Regional Development and Environment
article

Simulation and Attribution Analysis of TerrestrialEcosystem Carbon Storage in the YarlungZangbo River and the Two Tributariesof the Qinghai-Tibet Plateau

Shillong Li, Wenyuan Hao, Xingle Qu, Zhen Xing, Xu Jin, Mengru Geng
article en

Abstract

Terrestrial ecosystem carbon stock (TECS) plays a vital role as a worldwide carbon sink, helping to mitigate global warming and lower atmospheric CO 2 levels.TECS serves as a reliable indicator for predicting global climate change.The patch generation land use simulation model incorporated human and socioeconomic factors and considered global sustainable development.Various sharedsocioeconomic pathway-representative concentration pathway (SSP-RCP) scenarios were used to simulate and predict land use types in the Yarlung Zangbo River and Its Two Tributaries (YZRTT) basin on the Qinghai-Tibet Plateau (TQP).An integrated evaluation model of ecosystem services and trade-offs was employed to estimate the TECS of the YZRTT basin accurately during the same period.The potential factors influencing TECS were examined utilizing pairwise and single components in the geographical detector.In the SSP1-2.6 scenario, the TECS of the YZRTT basin will reach its highest point by 2050.This is mainly attributed to converting a significant portion of grassland into forest, resulting in the forest area reaching its maximum capacity.The expansion of cropland and constructed land area has been successfully restricted.The land area in the YZRTT basin would generally decline, except for the SSP5-8.5 scenario.Due to the rapid urbanization and growth of towns and cities, the existing developed land will be converted into cropland, artificial forests, and water bodies.The TECS of the YZRTT basin are projected to rise under various Shared Socioeconomic Pathway-Representative Concentration Pathway (SSP-RCP) scenarios.The relationship between the Digital Elevation Model (DEM) and TECS is negatively correlated, meaning that as DEM increases, TECS decreases.Settlements further away from the area tend to have higher TECS values.Anthropogenic influences significantly increase TECS in the YZRTT basin, eventually becoming the dominant factor.To enhance the TECS of the YZRTT basin, it is imperative for governments at all administrative levels Pol.J. Environ.Stud.Vol.XX, No. X (XXXX),[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] within the basin to strategically plan the development of roads and other infrastructure while also imposing restrictions on the growth of constructed land.

Polish Journal of Environmental Studies
Life in Land
Openalex Percentile: Top 88%
Regional Development and Environment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.