Simulating age-related changes in carbon storage and allocation in a Chinese fir plantation growing in southern China using the 3-PG model

China's forests are characterized by young forest age, low carbon density and a large area of planted forests, and thus have high potential to act as carbon sinks in the future. Using China's national forest inventory data during 1994-1998 and 1999-2003, and direct field measurements, we investigated the relationships between forest biomass density and forest age for 36 major forest types. Statistical approaches and the predicted future forest area from the national forestry development plan were applied to estimate the potential of forest biomass carbon storage in China during 2000-2050. Under an assumption of continuous natural forest growth, China's existing forest biomass carbon (C) stock would increase from 5.86 Pg C (1 Pg=10(15) g) in 1999-2003 to 10.23 Pg C in 2050, resulting in a total increase of 4.37 Pg C. Newly planted forests through afforestation and reforestation will sequestrate an additional 2.86 Pg C in biomass. Overall, China's forests will potentially act as a carbon sink for 7.23 Pg C during the period 2000-2050, with an average carbon sink of 0.14 Pg C yr(-1). This suggests that China's forests will be a significant carbon sink in the next 50 years.

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“…However, we do not see a universally accepted approach for predicting future changes in forest biomass C stock [17,18].…”

Section: Figurementioning

confidence: 93%

Biomass carbon stocks in China’s forests between 2000 and 2050: A prediction based on forest biomass-age relationships

Guo

Piao

et al. 2010

Sci. China Life Sci.

136

124

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“…For this study, species parameters for Chinese fir are shown in Table 1. They were derived as noted by [2,31,32]. One of the key benefits of the 3-PG model is that it is a physiological model driven by key physiological parameters.…”

Section: -Pg Model Descriptionmentioning

confidence: 99%

A Process-Based Approach to Estimate Chinese Fir (Cunninghamia lanceolata) Distribution and Productivity in Southern China under Climate Change

Coops

Wang

et al. 2015

Forests

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Abstract:Understanding the distribution and productivity of Chinese fir (Cunninghamia lanceolata) under climate change is critical given the ecological and economic importance of the species. Recently, process-based growth models have grown in their popularity given their simplicity and data availability, and they are increasingly being used to map the distribution and productivity of tree species. In this paper, we study the extent of variation of the current range shift and the productivity of the species under a changing climate. We used the Physiological Principles in Predicting Growth (3-PG) model, which calculates the extent to which climatic variables affect photosynthesis and growth of a species. These variables were then used in a decision-tree model to develop rules to provide a basis for predicting the distribution of the species under current climatic conditions. Once the distribution model was developed the productivity of the species was then assessed. Using climate projections we then simulated the growth and distribution into the future. Results indicate a northward shift from the current range. The growth model also indicates minor increases in productivity in some of the existing distribution areas, principally in central 361China with limited productivity predicted in newly emerged stands. We conclude that this dual modeling approach has potential to quantify impacts of climate change on selected species and examining differences in climate projections on range and productivity estimation.

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“…Pubescens) plantations. Chinese fir is one of the most popular plantation timber species in China due to its good timber quality, fast growth, straight stem and high resistance of bending (Zhao et al, 2009). Chinese fir plantations are commonly harvested at age 25 years (Zhang et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Changes in soil carbon and nitrogen stocks followed the conversion from secondary forest to Chinese fir and Moso bamboo plantations

Guan

Tang

Fan

et al. 2015

CATENA

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Simulating age-related changes in carbon storage and allocation in a Chinese fir plantation growing in southern China using the 3-PG model

Cited by 100 publications

References 31 publications

Biomass carbon stocks in China’s forests between 2000 and 2050: A prediction based on forest biomass-age relationships

Biomass carbon stocks in China’s forests between 2000 and 2050: A prediction based on forest biomass-age relationships

A Process-Based Approach to Estimate Chinese Fir (Cunninghamia lanceolata) Distribution and Productivity in Southern China under Climate Change

Changes in soil carbon and nitrogen stocks followed the conversion from secondary forest to Chinese fir and Moso bamboo plantations

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