Journal
JOURNAL OF FORESTRY RESEARCH
Volume 33, Issue 3, Pages 875-882Publisher
NORTHEAST FORESTRY UNIV
DOI: 10.1007/s11676-021-01347-3
Keywords
Carbon stock value; Carbon sink value; Multiple regression analysis; VAR model
Categories
Funding
- Social Science Research Fund of National Forestry and Grassland administration [2019131028]
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The study found that both stand age and afforestation area have a positive impact on forest carbon stock and carbon sink, while the forest enterprise gross output value has a negative impact on carbon stock. Stand age has the largest long-term cumulative impact on carbon stock and carbon sink.
The values of forest carbon stock (CSV) and carbon sink (COV) are important topics in the global carbon cycle. We quantitatively analyzed the factors affecting changes in both for forest ecosystem in 2000-2015. With multiple linear stepwise regression analysis, we obtained the factors that had a significant impact on changes of CSV and COV, and then the impacts of these variables on CSV and COV were used for further quantitative analysis using the vector autoregressive model. Our results indicated that both stand age and afforestation area positively affect CSV and COV; however, the forest enterprise gross output value negatively affects CSV. Stand age has the largest long-term cumulative impact on CSV and COV, reaching 40.4% and 9.8%, respectively. The impact of enterprise gross output value and afforestation area on CSV and COV is the smallest, reaching 4.0% and 0.3%, respectively.
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