Allometric Equations for Applying Plot Inventory and Remote Sensing Data to Assess Coarse Root Biomass Energy in Subtropical Forests

Gou, Mengmeng; Xiang, Wenhua; Song, Tao; Zhang, Shengli; Ouyang, Shuai; Zeng, Yelin; Deng, Xiaomin; Fang, Xi; Wang, Kelin

doi:10.1007/s12155-017-9820-0

Cited by 9 publications

(9 citation statements)

References 43 publications

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“…Average daylight totals 1,336.9 hours, with a frost‐free period of 290 days. Annual water surface evaporation is 967.7 mm, on average, while the land evaporation capacity is 603.4 mm (Gou et al., ). Elevation ranges between 330 m to 1,075 m. Soils correspond to Alliti‐Udic Ferrosols in the Chinese Soil Taxonomy, or Acrisols in the World Reference Base for Soil Resources (IUSS Working Group WRB ).…”

Section: Methodsmentioning

confidence: 99%

Tree growth traits and social status affect the wood density of pioneer species in secondary subtropical forest

Chen

Xiang

et al. 2017

Ecology and Evolution

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Wood density (WD) is not only an important parameter to estimate aboveground biomass but also an indicator of timber quality and plant adaptation strategies to stressful conditions (i.e., windthrow, pests, and pathogens). This study had three objectives:(1) to compare WD among seven subtropical tree species; (2) to determine how tree growth traits may influence possible differences in WD between the pioneer and shade-tolerant species; and (3) to examine whether or not WD differs by tree social status (dominant vs. suppressed trees) within species. To do this, 70 trees were destructively harvested. From each tree, disks at different stem heights were obtained and subjected to a method of stem analysis to measure whole tree level WD. The results showed that WD differed significantly among the seven species (p < .001).Their average WD was 0.537 g/cm 3 , ranging from 0.409 g/cm 3 for Choerospondias axillaris to 0.691 g/cm 3 for Cyclobalanopsis glauca. The average WD of the four pioneer species (0.497 ± 0.13 g/cm 3 ) was significantly lower (p < .01) than that of the three shade-tolerant species (0.589 ± 0.12 g/cm 3 ). The WD of the pioneers had a significant positive correlation with their stem diameter at breast height (DBH), tree height (H), and tree age, but WD had a significant negative correlation with relative growth rate (RGR). In contrast, the WD of the shade-tolerant tree species had no significant relationships with DBH, H, tree age, or RGR. The dominant trees of the pioneer species had a higher WD than the suppressed trees, whereas the shadetolerant species had a lower WD for dominant trees than the suppressed trees.However, the differences in WD between dominant and suppressed trees were not significant. Taken together, the results suggest that classifying species into pioneer and shade-tolerant groups to examine the effects of tree growth traits and social status could improve our understanding of intra-and interspecific variation in WD among subtropical tree species. K E Y W O R D Scompetitive ability, functional traits, relative growth rate, shade tolerance, tree social status

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Section: Methodsmentioning

confidence: 99%

Tree growth traits and social status affect the wood density of pioneer species in secondary subtropical forest

Chen

Xiang

et al. 2017

Ecology and Evolution

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“…DBH is the most frequently used variable for predicting biomass. Other variables, such as H, WD, and crown area, have also often been used as additional variables, or have been combined with DBH as a single variable in allometric models in previous studies [27,31].…”

Section: Allometric Model Development and Evaluationmentioning

confidence: 99%

“…In general, most allometric equations have been developed specifically for aboveground biomass [24][25][26], while the below-ground root biomass has rarely been studied [27,28]. As a nonnegligible part of forest biomass, tree roots account for approximately 30% of the total tree biomass, and may yet reveal both an additional and a greater role in carbon storage capacity [15,29].…”

Section: Introductionmentioning

confidence: 99%

“…Estimating root biomass using allometric equations could provide a better understanding of biomass and carbon allocation and ultimately help to accurately assess forest carbon sequestration potential [23]. To date, only a few studies have developed belowground allometric equations for subtropical tree species in China [27,28].…”

Section: Introductionmentioning

confidence: 99%

“…Tree height (H) is often added to the biomass equation to improve the model accuracy, which can be used as the second variable in the equation [9,31] or combined with DBH, in the form of DBH 2 H, as one variable [28]. However, there is considerable divergence in previous research on the effect of adding H and its form of addition in allometric models for the prediction of tree biomass [27,32]. Wood density (WD) is a basic characteristic of trees and has been considered as important variable in allometric models for biomass estimation [24], but its performance in biomass prediction of subtropical evergreen broadleaved forest needs more examination.…”

Section: Introductionmentioning

confidence: 99%

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Site-Specific Allometric Models for Prediction of Above-and Belowground Biomass of Subtropical Forests in Guangzhou, Southern China

Halin

Zhou

et al. 2019

Forests

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Tree allometric models that are used to predict the biomass of individual tree are critical to forest carbon accounting and ecosystem service modeling. To enhance the accuracy of such predictions, the development of site-specific, rather than generalized, allometric models is advised whenever possible. Subtropical forests are important carbon sinks and have a huge potential for mitigating climate change. However, few biomass models compared to the diversity of forest ecosystems are currently available for the subtropical forests of China. This study developed site-specific allometric models to estimate the aboveground and the belowground biomass for south subtropical humid forest in Guangzhou, Southern China. Destructive methods were used to measure the aboveground biomass with a sample of 144 trees from 26 species, and the belowground biomass was measured with a subsample of 116 of them. Linear regression with logarithmic transformation was used to model biomass according to dendrometric parameters. The mixed-species regressions with diameter at breast height (DBH) as a single predictor were able to adequately estimate aboveground, belowground and total biomass. The coefficients of determination (R2) were 0.955, 0.914 and 0.954, respectively, and the mean prediction errors were −1.96, −5.84 and 2.26%, respectively. Adding tree height (H) compounded with DBH as one variable (DBH2H) did not improve model performance. Using H as a second variable in the equation can improve the model fitness in estimation of belowground biomass, but there are collinearity effects, resulting in an increased standard error of regression coefficients. Therefore, it is not recommended to add H in the allometric models. Adding wood density (WD) compounded with DBH as one variable (DBH2WD) slightly improved model fitness for prediction of belowground biomass, but there was no positive effect on the prediction of aboveground and total biomass. Using WD as a second variable in the equation, the best-fitting allometric relationship for biomass estimation of the aboveground, belowground, and total biomass was given, indicating that WD is a crucial factor in biomass models of subtropical forest. Root-shoot ratio of subtropical forest in this study varies with species and tree size, and it is not suitable to apply it to estimate belowground biomass. These findings are of great significance for accurately measuring regional forest carbon sinks, and having reference value for forest management.

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A new index integrating forestry and ecology models for quantitatively characterizing forest carbon sequestration potential ability in a subtropical region

Dian,

Guo,

Liu

et al. 2024

Ecological Indicators

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Allometric Equations for Applying Plot Inventory and Remote Sensing Data to Assess Coarse Root Biomass Energy in Subtropical Forests

Cited by 9 publications

References 43 publications

Tree growth traits and social status affect the wood density of pioneer species in secondary subtropical forest

Tree growth traits and social status affect the wood density of pioneer species in secondary subtropical forest

Site-Specific Allometric Models for Prediction of Above-and Belowground Biomass of Subtropical Forests in Guangzhou, Southern China

A new index integrating forestry and ecology models for quantitatively characterizing forest carbon sequestration potential ability in a subtropical region

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