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A Preliminary Study of the Carbon Emissions Reduction Effects of Land Use Control.


ABSTRACT: Land use change not only directly influences carbon storage in terrestrial ecosystems but can also cause energy-related carbon emissions. This study examined spatiotemporal land use change across Jiangsu Province, China; calculated vegetation carbon storage loss caused by land use change and energy-related carbon emissions; analysed the relationship among land use change, carbon emissions and social-economic development; and optimized land use structure to maximize carbon storage. Our study found that 13.61% of the province's land area underwent a change in type of land use between 1995 and 2010, mainly presented as built-up land expansion and cropland shrinkage, especially in southern Jiangsu. Land use change caused a 353.99?×?104 t loss of vegetation carbon storage loss. Energy-related carbon emissions increased 2.5 times from 1995 to 2013; the energy consumption structure has been improved to some extent while still relying on coal. The selected social-economic driving forces have strong relationships with carbon emissions and land use changes, while there are also other determinants driving land use change, such as land use policy. The optimized land use structure will slow the rate of decline in vegetation carbon storage compared with the period between 1995 and 2010 and will also reduce energy-related carbon emissions by 12%.

SUBMITTER: Chuai X 

PROVIDER: S-EPMC5109288 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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A Preliminary Study of the Carbon Emissions Reduction Effects of Land Use Control.

Chuai Xiaowei X   Huang Xianjin X   Qi Xinxian X   Li Jiasheng J   Zuo Tianhui T   Lu Qinli Q   Li Jianbao J   Wu Changyan C   Zhao Rongqin R  

Scientific reports 20161115


Land use change not only directly influences carbon storage in terrestrial ecosystems but can also cause energy-related carbon emissions. This study examined spatiotemporal land use change across Jiangsu Province, China; calculated vegetation carbon storage loss caused by land use change and energy-related carbon emissions; analysed the relationship among land use change, carbon emissions and social-economic development; and optimized land use structure to maximize carbon storage. Our study foun  ...[more]

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