Research on Carbon Storage and Ecological Vulnerability in the Jialing River Basin Based on the InVEST Model
ZHOU Heng
PAN An
SHU Chengqiang
CAO Longyu
YANG Ying
CONG Rui
Abstract:To address the disturbance of terrestrial ecosystem carbon storage caused by land use changes in the Jialing River Basin,the spatio-temporal evaluation characteristics and driving factors of carbon storage in the basin were systematically assessed based on land use data from 2000 to 2020 by coupling the integrated valuation of ecosystem services and trade-offs(InVEST)model with a geographical detector.Additionally,the potential impact index was applied to reveal the vulnerability of its ecosystem services.The results demonstrated that:From 2000 to 2020,cropland and forest land were the dominant land types in the Jialing River Basin.The areas of cropland and grassland decreased,while forest land and construction land expanded substantially,with significant transitions observed among cropland,forest land,and grassland.The total carbon storage in the basin showed a continuous increasing trend,with a net increase of 0.90×108 t during the 20-year period,and exhibited a spatial distribution pattern characterized by higher values in the north and lower values in the south.The comprehensive land use degree index in the basin decreased by 5.31,the potential impact indices indicated indicating a negative potential impact and consequently an enhanced vulnerability of the carbon storage service.Elevation,annual average temperature,and slope were identified as the primary drivers of the spatial heterogeneity of carbon storage.Interaction detection revealed that two-factor enhancement was the dominant type of factor interaction.The findings of this research provided a scientific framework for territorial spatial optimization and the synergistic advancement of the"Dual Carbon"goals in the ecological barrier zone of the upper Yangtze River.
Keywords:land usecarbon storagevulnerabilityInVEST modelJialing River Basingeographical detector
Publication Date:2025-12-30
Online Publishing Date:2025-12-10(First online date of this platform, not the publication date of the document)
Pages:8( 585-592 )
