Quantitative simulation of C budgets in a forest in Heilongjiang province, China

Wang, B.; Li, M.; Fan, Weiliang; Zhang, F.

doi:10.3832/ifor1918-009

Cited by 5 publications

(4 citation statements)

References 27 publications

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“…The annual NPP from 2000 to 2015 in HLJFI was produced by Wang et al (2017) using the Integrated Terrestrial Ecosystem Carbon (InTEC) model. The InTEC model has been validated and applied widely (Ju et al 2007;Zhang et al 2012Zhang et al , 2015.…”

Section: Npp Datamentioning

confidence: 99%

Carbon stock and sink economic values of forest ecosystem in the forest industry region of Heilongjiang Province, China

2021

J. For. Res.

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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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Section: Npp Datamentioning

confidence: 99%

Carbon stock and sink economic values of forest ecosystem in the forest industry region of Heilongjiang Province, China

2021

J. For. Res.

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“…The fractions of clay, silt, and sand were obtained from the Harmonized World Soil Database (HWSD) constructed by the Food and Agriculture Organization of the United Nations (FAO) and the International Institute [45].All of these spatial datasets were employed in the UTM WGS-84 coordinate system and interpolated to 1 km resolution. Detailed descriptions of datasets were reported elsewhere [46,47].…”

Section: Model Inputsmentioning

confidence: 99%

Impacts of Change in Atmospheric CO2 Concentration on Larix gmelinii Forest Growth in Northeast China from 1950 to 2010

Wang

Fan

et al. 2019

Forests

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Although CO2 fertilization on plant growth has been repeatedly modeled to be the main reason for the current changes in the terrestrial carbon sink at the global scale, there have been controversial findings on the CO2 fertilization effects on forests from tree-ring analyses. In this study, we employed conventional dendrochronological tree-ring datasets from Northeast China, to detect the effect of CO2 fertilization on Larix gmelinii growth from 1950 to 2010. Among four sites, there were two sites exhibiting a significant residual growth enhancement at a 90% confidence level after removing the size, age and climaterelated trends of tree-ring indices. In addition, we found consistency (R from 0.26 to 0.33, p < 0.1) between the high frequency CO2 fluctuation and residual growth indices at two of the four sites during the common period. A biogeochemical model was used to quantitatively predict the contribution of elevated atmospheric CO2 on accumulated residual growth enhancement. As found in the tree-ring data, 14% of the residual growth was attributed to the CO2 fertilization effect, while climate was responsible for approximately the remainding 86%.

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“…Wang et al [40] produced a NPP distribution map in 2003 using the BEPS model, and the reference year NPP data were used to calibrate the initial value of NPP in InTEC.…”

Section: Input Data In the Intec Modelmentioning

confidence: 99%

“…The calculated NPP in this study was validated using NPP database created by Yu based on field measurements, which has been widely used to validate forest NPP [40,50]. The MAE% of our estimation of stand NPP ranged from 46% to 73%, with a mean of about 59%.…”

Section: Uncertaintiesmentioning

confidence: 99%

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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Quantitative simulation of C budgets in a forest in Heilongjiang province, China

Cited by 5 publications

References 27 publications

Carbon stock and sink economic values of forest ecosystem in the forest industry region of Heilongjiang Province, China

Carbon stock and sink economic values of forest ecosystem in the forest industry region of Heilongjiang Province, China

Impacts of Change in Atmospheric CO2 Concentration on Larix gmelinii Forest Growth in Northeast China from 1950 to 2010

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

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