Relationship between Net Primary Productivity and Forest Stand Age under Different Site Conditions and Its Implications for Regional Carbon Cycle Study

被引:38
作者
Wang, Bin [1 ]
Li, Mingze [1 ]
Fan, Wenyi [1 ]
Yu, Ying [1 ]
Chen, Jing M. [2 ]
机构
[1] Northeast Forestry Univ, Sch Forestry, Dept Forest Management, Harbin 150040, Heilongjiang, Peoples R China
[2] Univ Toronto, Dept Geog, Toronto, ON M5S 3G3, Canada
来源
FORESTS | 2018年 / 9卷 / 01期
基金
中国国家自然科学基金;
关键词
net primary productivity; yield table; NPP-age relationships; site class index; C cycle model; BIOMASS EQUATIONS; CLIMATE-CHANGE; CHINA FORESTS; DISTURBANCE; NORTHEAST; BALANCE; MANAGEMENT; ALGORITHM; DECLINE; STORAGE;
D O I
10.3390/f9010005
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Net primary productivity (NPP) is a key component in the terrestrial ecosystem carbon cycle, and it varies according to stand age and site class index (SCI) for different forest types. Here we report an improved method for describing the relationships between NPP and stand age at various SCI values for the main forest types and groups in Heilongjiang Province, China, using existing yield tables, biomass equations, and forest inventory data. We calculated NPP as the sum of four components: Annual accumulation of live biomass, annual mortality of biomass, foliage turnover, and fine root turnover in soil. We also consider the NPP of understory vegetation or moss. These NPP-age relationships under different site conditions indicate that the NPP values of broadleaved and coniferous, as well as broadleaved mixed forests increase rapidly and reach a maximum when in young forests. However, for coniferous forest types, the maximum NPP generally occurs in mature forests. In addition, a higher SCI leads to a higher NPP value. Finally, we input these NPP-age relationships at various SCI values into the Integrated Terrestrial Ecosystem Carbon (InTEC) model to modify NPP modeling to estimate NPP in Heilongjiang Province in China from 2001 to 2010. All of the results showed that the methods reported in this study provide a reliable approach for estimating regional forest carbon budgets.
引用
收藏
页数:27
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