Aboveground tree additive biomass equations for two dominant deciduous tree species in Daxing’anling, northernmost China

Meng, Shengwang; Liu, Qijing; Zhou, Guang‐Jie; Jia, Quanquan; Zhuang, Huixia; Zhang, Hua

doi:10.1080/13416979.2017.1333277

Cited by 16 publications

(23 citation statements)

References 39 publications

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“…However, as there can be high uncertainty in these parameters [7], it is crucial to develop indigenous models and parameters of tree biomass. To date, many papers on modeling individual tree biomass in China have been published [8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Effects of Stand Age on Biomass Allocation and Allometry of Quercus Acutissima in the Central Loess Plateau of China

Yang

Xue

et al. 2019

Forests

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We studied the effects of stand age on allocation and equation fitting of aboveground and below-ground biomass in four Quercus acutissima stands (14, 31, 46, and 63 years old) in the Central Loess Plateau of China. The stem wood, stem bark, branch, foliage, and belowground biomass of each of the 20 destructive harvesting trees were quantified. The mean total biomass of each tree was 28.8, 106.8, 380.6, and 603.4 kg/tree in the 14-, 31-, 46-, and 63-year-old stands, respectively. Aboveground biomass accounted for 72.25%, 73.05%, 76.14%, and 80.37% of the total tree biomass in the 14-, 31-, 46-, and 63-year-old stands, respectively, and stem wood was the major component of tree biomass. The proportion of stem (with bark) biomass to total tree biomass increased with stand age while the proportions of branch, foliage, and belowground biomass to total tree biomass decreased with stand age. The ratio of belowground biomass to aboveground biomass decreased from 0.39 in the 14-year-old stand to 0.37, 0.31, and 0.24 in the 31-, 46-, and 63-year-old stands, respectively. Age-specific biomass equations in each stand were developed for stem wood, stem bark, aboveground, and total tree. The inclusion of tree height as a second variable improved the total tree biomass equation fitting for middle-aged (31-year-old and 46-year-old) stands but not young (14 years old) and mature (63 years old) stands. Moreover, biomass conversion and expansion factors (BCEFs) varied with stand age, showing a decreasing trend with increasing stand age. These results indicate that stand age alters the biomass allocation of Q. acutissima and results in age-specific allometric biomass equations and BCEFs. Therefore, to obtain accurate estimates of Q. acutissima forest biomass and carbon stocks, age-specific changes need to be considered.

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Section: Introductionmentioning

confidence: 99%

Effects of Stand Age on Biomass Allocation and Allometry of Quercus Acutissima in the Central Loess Plateau of China

Yang

Xue

et al. 2019

Forests

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“…This research was conducted in the Xilinji Forestry Bureau (52 • [38]. Soils in this region are classified as brown coniferous forest soil [39].…”

Section: Site Descriptionmentioning

confidence: 99%

Fire Intensity Affects the Relationship between Species Diversity and the N Utilization Stability of Dominant Species

Song

Liu

2019

Forests

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Stabilizing the local elemental stoichiometry is an important step toward restoring species diversity in a damaged ecosystem, especially those affected by wildfire. Stability of nitrogen (N) utilization is mainly affected by wildfire through restoration, which is one of the most important parts of stoichiometric utilization. However, the mechanisms underlying the relationship between N utilization stability and species diversity are not well understood in burned areas. We investigated variation in species diversity and in the stability of leaf N utilization of locally dominant tree species in a series of burned areas during early community restoration following wildfires of different intensities. This study shows that low fire intensity led to an increase in the soil N concentration, and significantly affected the utilization of leaf N. With higher fire intensity, the leaf N concentration first decreased, and then increased as fire intensity increased. The dominant trees showed more stable N utilization at a medium intensity, compared with other intensities, but the stability of N utilization was overall higher for the dominant species than for the regenerating pioneer species. We also concluded that other soil nutrients altered the stability of plant N utilization, which we found was closely related to species diversity during restoration. The Shannon index and N utilization stability in burned areas were most significantly correlated. The N utilization stability regulation between soil total nitrogen (STN) and leaf total nitrogen (LTN) (HSTN-LTN) of Betula platyphylla Suk (BPS) correlated significantly and positively with the increase of the Shannon index (H), but the HSMN-LTN of the dominant species correlated significantly and negatively with H.

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“…Liu (2009) established a nested regression method based on the volume of branches and the quantity of foliage which data are nested, thus reducing the number of measured samples. Jia et al (2015) and Meng et al (2017) estimated aboveground and belowground biomass of Pinus tabuliformis and developed two dominant deciduous tree biomass equations using above nested regression method, respectively, indicating that the method is reliable.…”

Section: Introductionmentioning

confidence: 97%

“…In tree biomass estimations, it is important to consider the property of additivity, i.e., the sum of the biomass predictions of components may not equal to the total biomass prediction (Parresol, 1999) due to the inherent correlations among different components (Dong et al, 2015). To address the additivity of incompatibility, we used seemingly unrelated regression (SUR) and nonlinear seemingly unrelated regression (NSUR) to analyze and estimate the model coefficients, and these methods typically result in a lower variance for the total tree biomass model (Parresol, 1999;Parresol, 2001) because of their generality and flexibility (Li and Zhao, 2013;Dong et al, 2014Dong et al, , 2015Meng et al, 2017). At the same time, a likelihood analysis has been shown to be a necessary analysis for error structure (Parresol, 2001;Dong et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Allometric biomass equations of Larix sibirica in the Altay Mountains, Northwest China

Liu

Meng

et al. 2019

J. Arid Land

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Boreal forests are important carbon sinks and have tremendous potential to mitigate climate change. Aboveground biomass of Siberian larch (Larix sibirica Ledeb.) stands in the Altay Mountains, Northwest China was studied and allometric equations that are related to the biomass of aboveground components using diameter at breast height (DBH) or both DBH and height (H) as independent variables for L. sibirica trees were derived in this paper. A linear simultaneous equation system by using either DBH or both DBH and H (DBH&H) indices, was used to ensure additivity of the biomass of individual tree components, and was fitted for L. sibirica. Model performance was validated using the jackknifing test. Results indicate that the goodness-of-fit for the regressions was lowest for the needles (R 2 ranging from 0.696 to 0.756), and highest for the stem wood (R 2 ranging from 0.984 to 0.997) and the aggregated biomass components (R 2 ranging from 0.994 to 0.995). The coefficient of determination for each component was only marginally improved in terms of model fit and performance in the biomass equations that used DBH&H as the independent variables compared to that used DBH as the independent variable, and needles yielded an even worse fit. Stem biomass accounted for the largest proportion (87%) of the aboveground biomass. Based on the additive equations that used DBH as the single predicitor in this study, the mean aboveground carbon stock density and the carbon storage values of L. sibirica forests were 74.07 Mg C/hm 2 and 30.69 Tg C, respectively, in the Altay Mountains. Empirical comparisons of published equations for the same species growing in the Altay Mountains of Mongolia were also presented. The mean aboveground carbon stock density estimated for L. sibirica forests was higher in the Chinese Altay Mountains than in the Mongolian Altay Mountains (66.00 Mg C/hm 2).

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Aboveground tree additive biomass equations for two dominant deciduous tree species in Daxing’anling, northernmost China

Cited by 16 publications

References 39 publications

Effects of Stand Age on Biomass Allocation and Allometry of Quercus Acutissima in the Central Loess Plateau of China

Effects of Stand Age on Biomass Allocation and Allometry of Quercus Acutissima in the Central Loess Plateau of China

Fire Intensity Affects the Relationship between Species Diversity and the N Utilization Stability of Dominant Species

Allometric biomass equations of Larix sibirica in the Altay Mountains, Northwest China

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