Spatiotemporal variations in vegetation and carbon storage of mountainous ecosystems in Northeastern Guangdong Province
Based on remote sensing images and measurements of soil organic carbon content(including 28 sample sites,112 soil samples from forests,grasslands,croplands,and construction lands),methods including Sen's trend analysis,Hurst exponent,partial correlation analysis,and the InVEST model were employed to investigate the spatiotemporal variations in vegetation and carbon storage of the mountainous ecosystem in northeastern Guangdong province.The results show that:(1)The research area exhibits relatively high vegetation coverage,with a Normalized Difference Vegetation Index(NDVI)ranging from 0.14 to 0.95 and an average value of 0.79.From 2000 to 2021,the vegetation coverage of the study region increased.Apart from the city area of Meizhou,the rest showed varying degrees of NDVI increase,especially in mountainous areas,where it showed a trend of rising and subsequently declining with elevation.The Hurst exponent(<0.5)implies a potential declining trend in vegetation changes in the study area.(2)From 2000 to 2020,the carbon storage in the study area displayed a decreasing trend,amounting to a total reduction of 1.33 teragrams(Tg).Land use changes,particularly the conversion of forests and grasslands into agricultural and urban areas,are the primary reasons for the decrease in carbon storage in the study area.The conclusions can serve as fundamental data for investigating the changes in carbon sequestration functionality within subtropical ecosystems in China.
vegetation changescarbon storageNDVIland use changesInVEST modelmoun-tainous ecosystems
国家科技期刊平台
NSTL
万方数据
