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Analysis on Carbon Reduction Effect of Vegetation System in Northern China

Authors: Guiyu Yang; Hao Huang; Weiwei Shao; Jiahong Liu; Haixing Zhang;

Analysis on Carbon Reduction Effect of Vegetation System in Northern China

Abstract

AbstractThe present study preliminarily estimated carbon sink of forest and carbon sink of grassland of 13 provinces of the northern China, analyzed their spatial pattern characteristics and revealed the effect of carbon reduction of the northern vegetation system in China using the forest carbon sink volume method and grassland carbon sequestration rate method by using the forest resources inventory data in China and the relevant statistical data. Analysis results illustrated that the total volume of forest carbon sink of the northern China was about 1.2*108 t, of which the advantages of the forest carbon sink of Heilongjiang, Inner Mongolia, Shaanxi and Jilin were significant. The total volume of carbon sink of grassland was about 1.78*108 t, of which the advantages of the forest carbon sink of Inner Mongolia, Xinjiang, Heilongjiang and Shanxi were significant. It was suggested in this paper that the north China should transform mode of development to further strengthen afforesting and forestation work. The Northeast China should further dig potential of carbon sink of forest and participate in the international carbon trading. The development in the northwest area of China should further strengthen the construction of ecological environment to keep capacity of carbon sink.

Keywords

spatial pattern, Northern China, Energy(all), carbon sink of forest, carbon sink of grassland

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold