Inventory-based estimates of forest biomass carbon stocks in China: A comparison of three methods

Guo, Zhaodi; Fang, Jingyun; Pan, Yude; Birdsey, Richard A.

doi:10.1016/j.foreco.2009.09.047

Cited by 157 publications

(119 citation statements)

References 28 publications

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“…Systematic sampling with a grid of 2 km by 2 km or 4 km by 4 km and an area of 10 m by 10 m was used depending on forest region. In CFID, China's forests were classified into three categories: stands (including natural and planted forests), economic forests (woods with the primary objective of the production of fruits, edible oils, drinks, flavorings, industrial raw materials, and medicinal materials), and bamboo forests (Guo et al, 2013). In the present study, "forest" refers only to a "forest stand" with canopy coverage ≥ 20 % and therefore excludes economic and bamboo forests (Fang et al, 2007).…”

Section: Forest Inventory Datamentioning

confidence: 99%

“…In this study, we used the continuous biomass expansion factor (BEF, defined as the ratio of stand biomass to timber volume) method with parameters for each forest type taken from Guo et al (2013) to calculate forest biomass in China, because CFID only report the forest area and timber volume for each forest type. The BEF method was first developed from the allometric relationships between forest biomass and forest timber volume Brown and Schroeder, 1999), then evolved to be the continuous BEF method based on the reciprocal equation expressing the BEF-timber volume relationship (Fang et al, , 2001:…”

Section: Calculation Of Forest Biomass C Stocksmentioning

confidence: 99%

“…With this simple BEF approach, one can easily calculate regional or national forest biomass based on direct field measurements and forest inventory data. Calculations with the BEF method are well documented by Fang et al (2001Fang et al ( , 2014a and the BEF method has been previously applied to estimate China's forest stand biomass (Fang et al, 2007;Guo et al, 2013). In this study, the ratio of 0.5 was used to convert biomass to C stock (Fang et al, 2001).…”

Section: Calculation Of Forest Biomass C Stocksmentioning

confidence: 99%

“…Notably, since the late 1990s (1994)(1995)(1996)(1997)(1998), natural forests in China have functioned as a persistent C sink, probably owing to the implementation of the nationwide Natural Forest Conservation Project which started in 1998 (Appendix C; Lei, 2005;Ministry of Forestry of China, 2009;Guo et al, 2013). Subsequently, the relative contribution of changes in biomass has shown a constant increase (Fig.…”

Section: Dynamics Of Areal Expansion and Forest Growth In Planted Andmentioning

confidence: 99%

“…With the implementation of national afforestation and reforestation programs since the late 1970s, such as the Three-North Protective Forest Program, the Natural Forest Conservation Program, and the Wetland Restoration Program, forest ecosystems in China are credited to have made a significant contribution to regional and global C sinks in recent decades (Fang et al, 2001(Fang et al, , 2014aFang and Chen, 2001;Lei, 2005;Xu et al, 2010;Pan et al, 2011;Guo et al, 2013). Based on the biomass expansion factor (BEF) method and China's forest inventory data, Guo et al (2013) estimated the spatiotemporal changes in the forest biomass C sink from 1977 to 2008 and concluded that the annual biomass C sink (70.2 Tg C yr −1 , 1 Tg = 10 12 g) offset 7.8 % of the contemporary CO 2 emissions in the country.…”

Section: Introductionmentioning

confidence: 99%

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The relative contributions of forest growth and areal expansion to forest biomass carbon

Zhu

et al. 2016

Biogeosciences

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Abstract. Forests play a leading role in regional and global terrestrial carbon (C) cycles. Changes in C sequestration within forests can be attributed to areal expansion (increase in forest area) and forest growth (increase in biomass density). Detailed assessment of the relative contributions of areal expansion and forest growth to C sinks is crucial to reveal the mechanisms that control forest C sinks and it is helpful for developing sustainable forest management policies in the face of climate change. Using the Forest Identity concept and forest inventory data, this study quantified the spatial and temporal changes in the relative contributions of forest areal expansion and increased biomass growth to China's forest biomass C sinks from 1977 to 2008. Over the last 30 years, the areal expansion of forests has been a larger contributor to C sinks than forest growth for planted forests in China (62.2 % vs. 37.8 %). However, for natural forests, forest growth has made a larger contribution than areal expansion (60.4 % vs. 39.6 %). For all forests (planted and natural forests), growth in area and density has contributed equally to the total C sinks of forest biomass in China (50.4 % vs. 49.6 %).The relative contribution of forest growth of planted forests showed an increasing trend from an initial 25.3 % to 61.0 % in the later period of 1998 to 2003, but for natural forests, the relative contributions were variable without clear trends, owing to the drastic changes in forest area and biomass density over the last 30 years. Our findings suggest that afforestation will continue to increase the C sink of China's forests in the future, subject to sustainable forest growth after the establishment of plantations.

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Section: Forest Inventory Datamentioning

confidence: 99%

Section: Calculation Of Forest Biomass C Stocksmentioning

confidence: 99%

Section: Calculation Of Forest Biomass C Stocksmentioning

confidence: 99%

Section: Dynamics Of Areal Expansion and Forest Growth In Planted Andmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The relative contributions of forest growth and areal expansion to forest biomass carbon

Zhu

et al. 2016

Biogeosciences

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Quantifying Carbon Stock Variability of Species Within a Reforested Urban Landscape Using Texture Measures Derived from Remotely Sensed Imagery

Mngadi¹,

Odindi²,

Mutanga³

2022

Advances in Remote Sensing for Forest Monitoring

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Carbon storage in China's forest ecosystems: estimation by different integrative methods

Peng

Wen

et al. 2016

Ecology and Evolution

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Carbon (C) storage for all the components, especially dead mass and soil organic carbon, was rarely reported and remained uncertainty in China's forest ecosystems. This study used field‐measured data published between 2004 and 2014 to estimate C storage by three forest type classifications and three spatial interpolations and assessed the uncertainty in C storage resulting from different integrative methods in China's forest ecosystems. The results showed that C storage in China's forest ecosystems ranged from 30.99 to 34.96 Pg C by the six integrative methods. We detected 5.0% variation (coefficient of variation, CV, %) among the six methods, which was influenced mainly by soil C estimates. Soil C density and storage in the 0–100 cm soil layer were estimated to be 136.11–153.16 Mg C·ha−1 and 20.63–23.21 Pg C, respectively. Dead mass C density and storage were estimated to be 3.66–5.41 Mg C·ha−1 and 0.68–0.82 Pg C, respectively. Mean C storage in China's forest ecosystems estimated by the six integrative methods was 8.557 Pg C (25.8%) for aboveground biomass, 1.950 Pg C (5.9%) for belowground biomass, 0.697 Pg C (2.1%) for dead mass, and 21.958 Pg C (66.2%) for soil organic C in the 0–100 cm soil layer. The R:S ratio was 0.23, and C storage in the soil was 2.1 times greater than in the vegetation. Carbon storage estimates with respect to forest type classification (38 forest subtypes) were closer to the average value than those calculated using the spatial interpolation methods. Variance among different methods and data sources may partially explain the high uncertainty of C storage detected by different studies. This study demonstrates the importance of using multimethodological approaches to estimate C storage accurately in the large‐scale forest ecosystems.

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Inventory-based estimates of forest biomass carbon stocks in China: A comparison of three methods

Cited by 157 publications

References 28 publications

The relative contributions of forest growth and areal expansion to forest biomass carbon

The relative contributions of forest growth and areal expansion to forest biomass carbon

Quantifying Carbon Stock Variability of Species Within a Reforested Urban Landscape Using Texture Measures Derived from Remotely Sensed Imagery

Carbon storage in China's forest ecosystems: estimation by different integrative methods

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