Study on land use change and spatiotemporal variation of carbon storage in Beijing-Tianjin-Hebei based on InVEST model

doi:10.13474/j.cnki.11-2246.2024.0104

Abstract

Abstract: The increase in atmospheric CO₂content is an environmental issue of widespread international concern, and human activities change land use patterns, and land-use/land-cover (LULC) changes further affect terrestrial ecosystem structure, function, and carbon cycling. With the support of global land cover data GlobeLand30, This paper analyzed the land use changes in Beijing-Tianjin-Hebei from 2000 to 2020, used InVEST model to imitate the Spatiotemporal changes of carbon stocks, and used the spatial autocorrelation analysis to study its zoning. The results show that:①From 2000 to 2020, the largest change area in Beijing-Tianjin-Hebei region is cultivated land and artificial surface, with an area decrease of 340 222.124 hm²and an area increase of 246 333.493 hm²respectively. ②The total carbon reserves of Beijing-Tianjin-Hebei in 2000, 2010 and 2020 are 1 666.47×10⁶、1654.63×10⁶、1632.88×10⁶ t, the main reason for the decline in carbon storage are the loss of arable land and the expansion of artificial land surface. ③The high value of carbon storage is mainly distributed in mountain and forest areas with relatively high altitude, while the low value areas of carbon reserves are mainly concentrated in central Beijing, the coastal zone of Tianjin and Hebei and the eastern Cangzhou, southern Tangshan. ④The results of local autocorrelation show that the high value areas of carbon reserves are clustered in the north and west of the study area. Among the regions with low to low aggregation, Dongli district of tianjin city and Hanshan district of Handan city, Hebei province show a relatively obvious weakening trend.

Key words: carbon stocks, land use, InVEST model, Beijing-Tianjin-Hebei, spatial autocorrelation analysis

CLC Number:

P237

PENG Yunni, SANG Huiyong, ZHAI Liang, ZHANG Ziyi, DUAN Jinjiang. Study on land use change and spatiotemporal variation of carbon storage in Beijing-Tianjin-Hebei based on InVEST model[J]. Bulletin of Surveying and Mapping, 2024, 0(1): 19-24,31.

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