Relationships between net primary productivity and stand age for several forest types and their influence on China’s carbon balance

Wang, Shaoqiang; Li-hua, Zhou; Chen, Jingming; Ju, Weimin; Feng, Xianfeng; Wu, Weixing

doi:10.1016/j.jenvman.2011.01.024

Cited by 110 publications

(77 citation statements)

References 82 publications

(121 reference statements)

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“…We compared our NPP-age relationships with similar studies for China and the U.S. [24,26]. Our NPP-age curves were similar to the curves derived for China and U.S. forests except for DBF.…”

Section: Discussionmentioning

confidence: 51%

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

Wang

et al. 2018

Forests

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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.

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“…We compared our NPP-age relationships with similar studies for China and the U.S. [24,26]. Our NPP-age curves were similar to the curves derived for China and U.S. forests except for DBF.…”

Section: Discussionmentioning

confidence: 51%

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

Wang

et al. 2018

Forests

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“…Furthermore, it is worth noting that although MAT, MAP, and N re were important factors in the spatial variation of NPP in the forests of eastern China, the total variability that was not captured was 15.2% for NPP ( Figure 5). We inferred that NPP showed high spatial variability due to impacts from various environmental factors, and biological factors, such as stand age, vegetation distribution, nitrogen deposition, and disturbance (i.e., thinning harvesting irrigation, and drainage) [44][45][46], could weaken the climate and soil regulation on forest productivity to a certain extent. An intensive study on this aspect is expected to be carried out in the future, which is critical for expanding current analysis and including other carbon cycles related to more environmental factors.…”

Section: Uncertainty Analysismentioning

confidence: 99%

Joint Control of Net Primary Productivity by Climate and Soil Nitrogen in the Forests of Eastern China

Zhan

Guo

Zhang

2018

Forests

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Abstract:The nature and extent of climate and soil nutrient controls in Chinese forests remain poorly resolved. Here, we synthesized the data on carbon-climate-soil in eastern China, and litter N was firstly taken into consideration, to examine the variation of net primary productivity (NPP) and its driving forces. Results showed that NPP had significant latitude pattern and varied substantially across climate zones. Bivariate analyses indicated that mean annual temperature (MAT), mean annual precipitation (MAP), soil N content (N soil ), and annual litter N (N re ) were the main controlling factors in spatial pattern of forest NPP. Notably, partial general linear model analysis revealed that MAT, MAP, and N re jointly explained 84.8% of the spatial variation of NPP. Among the three major factors, N re explained more variation of forest NPP than the other two factors, and MAT and MAP affected NPP mainly through the change of litter N rather than via themselves, highlighting the importance of litter N in estimating forest NPP. However, to accurately describe the pattern of forest NPP in China, more detailed field measurements and methodologies on NPP and relevant confounding factors should be addressed in future studies.

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“…In addition, forest age affects the distribution of organic compounds and biomass accumulation [42]. Thus forest age is a key parameter for simulation and prediction of the potential of carbon sinks in forest vegetation [8,43].…”

Section: Relationship Between Carbon Sinks and Forest Agementioning

confidence: 99%

“…Because of the relative merits of these methods, evaluations of the terrestrial carbon source from different yardsticks are different [5][6][7][8][9]. For instance, the evaluation of the Chinese forest carbon storage by Zhao et al [10] from 1989 to 1993 dou-bled estimate made by Zhou et al [11].…”

mentioning

confidence: 99%

The spatial distribution of forest carbon sinks and sources in China

et al. 2012

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Forest ecosystems play an important role in the global carbon cycle. The implementation of the United Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto Protocol has made the study of forest ecosystem carbon cycling a hot topic of scientific research globally. This paper utilized Chinese national forest inventory data sets (for the periods 1984-1988 and 1999-2003), the vegetation map of China (1 : 1000000), and the spatially explicit net primary productivity (NPP) data sets derived with the remote sensing-based light use efficiency model (CASA model). We quantitatively estimated the spatial distribution of carbon sinks and sources of forest vegetation (with a resolution of 1 km) using the spatial downscaling technique. During the period 1984 to 2003 the forest vegetation in China represented a carbon sink. The total storage of carbon increased by 0.77 PgC, with a mean of 51.0 TgC a 1. The total carbon sink was 0.88 PgC and carbon source was 0.11 PgC during the study period. The carbon sink and carbon source of forest vegetation in China showed a clear spatial distribution pattern. Carbon sinks were mainly located in subtropical and temperate regions, with the highest values in Hainan Province, Hengduan mountain ranges, Changbai mountain ranges in Jilin, and south and northwest of the Da Hinggan Mountains; carbon sources were mainly distributed from the northeast to southwestern areas in China, with the highest values mainly concentrated in southern Yunnan Province, central Sichuan Basin, and northern Da Hinggan Mountains. Increase in NPP was strongly correlated with carbon sink strength. The regression model showed that more than 80% of the variation in the modeled carbon sinks in Northeast, Northern, Northwest and Southern China were explained by the variation in NPP increase. There was a strong relationship between carbon sink strength and forest stand age.

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Relationships between net primary productivity and stand age for several forest types and their influence on China’s carbon balance

Cited by 110 publications

References 82 publications

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

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

Joint Control of Net Primary Productivity by Climate and Soil Nitrogen in the Forests of Eastern China

The spatial distribution of forest carbon sinks and sources in China

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