Biomass partition and carbon storage of Cunninghamia lanceolata chronosequence plantations in Dabie Mountains in East China

Xie, Xianan; Cui, Jun; Shi, Wentao; Liu, Xijun; Xiao, Tao; Qin, Wang; Xu, Xiaoniu

doi:10.12657/denbio.076.016

Cited by 11 publications

(9 citation statements)

References 38 publications

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“…Data from a large geographical scale also illustrated continuously increasing C sequestration in an age as high as 30 years (Wang et al 2012;Chen et al 2013). Long-term stand age up to 50 years has been found to have an effect on C allocation with more C allocated to roots in older stands (Xie et al 2016). Current findings on age of Chinese fir stands are highly varied in location and management strategy.…”

Section: Introductionmentioning

confidence: 99%

“…Large-scale establishment of Chinese fir plantations exploded since the 1950s and peaked around the 1980s (Zhang et al 2004). For the purpose of climate change mitigation, the promotion of C sink in living storage has been the objective for planting and management of Chinese fir plantations since the 1980s (Zhang et al 2004;Zhao et al 2009;Yen and Lee 2011;Wang et al 2012;Liao et al 2014;Xie et al 2016;Cheng et al 2017;Tang et al 2017;Lei et al 2019;Saeed et al 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Due to the attribute of fast growing speed of Chinese fir trees, their C sequestration has a strong variation in response to stand-ages from 15 to 54 years (Zhao et al 2009;Yen and Lee 2011;Wang et al 2012;Chen et al 2013;Xie et al 2016). However, distinct results have been documented in the study of age-related response of C sequestration.…”

Section: Introductionmentioning

confidence: 99%

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Estimated biomass carbon in thinned Cunninghamia lanceolate plantations at different stand-ages

Xie¹,

Wu²,

Xu³

et al. 2020

J. For. Res.

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Chinese fir (Cunninghamia lanceolate [Lamb.] Hook.) is a fast-growing species which is not only important as a timber-supplier, but also as an available sink for carbon (C) storage in biomass. Stand age and density are two critical factors that can determine tree C sequestration as interrelated drivers through natural self-thinning. C. lanceolate were planted using 1-year-old bare-root seedlings at the initial density of 1800 stems ha−1 in a 15-ha montane area of Hunan Province, China in 1987. The plantation was thinned twice 10 and 20 years after planting to leave trees of 437.5 ± 26.6, 675.0 ± 155.2 and 895.8 ± 60.1 stems ha−1 as low, medium, and high densities, respectively. Tree height and diameter at breast height (DBH) were measured every 2 years beginning from 23 years (2009) to 31 years (2018) after establishment, timber volume (TV) and biomass C were estimated accordingly. We did not find any interactive effect of age and density on any variables except for height. Both TV and biomass C increased with stand age or decreased in higher densities. The allometric height-DBH relationship can be fitted by an exponential rising-to-maximum model with higher maximum value over time. The decline of biomass C along density fit with the inverse first-order polynomial model which indicated that at least 1300–1500 stems ha−1 may be needed to maximize TV and biomass C for a longer term over 20 years. Therefore, to control the density to a reasonable level, over 1300 stems ha−1 in a rotation over 20 years old will be practical for tree biomass C in Chinese fir plantations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimated biomass carbon in thinned Cunninghamia lanceolate plantations at different stand-ages

Xie¹,

Wu²,

Xu³

et al. 2020

J. For. Res.

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“…Precise estimation of carbon pools in forest ecosystems are a necessary base for further activities. As carbon content in plant tissues is relatively constant, most inventories focus on biomass estimation [11][12][13][14]. For that reason, accuracy of biomass assessment is crucial for carbon reporting.…”

Section: Introductionmentioning

confidence: 99%

Tree- and Stand-Level Biomass Estimation in a Larix decidua Mill. Chronosequence

Jagodziński

Dyderski

Gęsikiewicz

et al. 2018

Forests

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Carbon pool assessments in forests is one of the most important tasks of forest ecology. Despite the wide cultivation range, and economical and traditional importance, the aboveground biomass of European larch (Larix decidua Mill.) stands is poorly characterized. To increase knowledge about forest biomass accumulation and to provide a set of tools for aboveground biomass estimation, we studied a chronosequence of 12 larch forest stands (7-120 years old). From these stands, we measured the biomass of 96 sample trees ranging from 1.9 to 57.9 cm in diameter at breast height. We provided age-specific and generalized allometric equations, biomass conversion and expansion factors (BCEFs) and biomass models based on forest stand characteristics. Aboveground biomass of stands ranged from 4.46 (7-year-old forest stand) to 445.76 Mg ha −1 (106-year-old). Stand biomass increased with increasing stand age, basal area, mean diameter, height and total stem volume and decreased with increasing density. BCEFs of the aboveground biomass and stem were almost constant (mean BCEFs of 0.4688 and 0.3833 Mg m −3 , respectively). Our generalized models at the tree and stand level had lower bias in predicting the biomass of the forest stands studied, than other published models. The set of tools provided fills the gap in biomass estimation caused by the low number of studies on larch biomass, which allows for better estimation of forest carbon pools.Forest stand biomass can be estimated at two levels of detail: tree level and stand level. For tree level the most frequent approach is usage of allometric equations (AEs)-regression models allowing for tree biomass estimation using simple measurements, i.e., diameter at breast height or height [17][18][19]. AEs based on individual tree measurements require time-and money-consuming inventories, but yield higher accuracy of biomass estimation. Stand level estimation is usually conducted using forest stand models (e.g., [20,21]) or biomass expansion and conversion factors (BCEFs; e.g., [12,[22][23][24]). BCEFs are literally proportions of forest stand biomass and tree stand volume, allowing for easy conversion of forest inventory data (growing stock) into biomass. However, this approach is double-biased by errors of statistical models and errors of forest inventory. For example, BCEFs are not useful in cases of young forest stands where volume of merchantable wood is underestimated [21].The need for elaboration of more accurate biomass models is connected with the variability of biomass allocation patterns. The proportions of carbohydrates invested in development of particular organs vary climatically [25], but also with increasing age (e.g., [26][27][28]). For that reason, younger trees need separate models both at the tree (e.g., [23,29,30]) and stand (e.g., [21,22,24]) levels. Moreover, according to metabolic scaling theory [31] and its expansion [32], biomass allocation is connected with tree dimensions. In cases of managed forests, initial spacing of forest stands also influence both bioma...

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“…Usually stand biomass may be assessed using the two main approaches: allometric equations at both tree and stand levels (e.g., Baskerville 1972;Zianis et al 2005;Zasada et al 2008;Xie et al 2016;Forrester et al 2017) and…”

Section: Introductionmentioning

confidence: 99%

Effects of stand features on aboveground biomass and biomass conversion and expansion factors based on a Pinus sylvestris L. chronosequence in Western Poland

et al. 2019

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Although Scots pine (Pinus sylvestris L.) is one of the most economically important European timber trees, there is still insufficient data about biomass variability and its relationships with stand features. Therefore, we aimed: (1) to develop biomass models for different aboveground biomass components at tree and stand levels, as well as biomass conversion and expansion factors (BCEFs), (2) to assess the relationships between stand parameters and aboveground biomass and BCEFs and (3) to compare stand biomass obtained using BCEFs with models developed based on stand parameters (age, basal area, stand volume and mean height). Using a chronosequence (3-117 years old) of 120 plots within even-aged pure Scots pine stands and 791 sample trees, we prepared tree-and stand-level allometric equations and BCEFs for aboveground biomass determination. Using stand age, density, stand volume and mean height, we prepared a set of models for biomass and BCEFs. Our study indicated that stand biomass increased with increasing height, volume and age and with decreasing stand density during stand development. Stand-level models provided better accuracy than BCEF-based models. The best predictors of biomass were stand volume and mean height. We also confirmed highly dynamic increases in stand biomass and decreases in BCEFs in the youngest phase of stand growth and relative stabilization in later stages of Scots pine stand development. The models obtained may be used in large-scale forest biomass inventories and increase our knowledge of carbon sequestration in forest biomass.

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Biomass partition and carbon storage of Cunninghamia lanceolata chronosequence plantations in Dabie Mountains in East China

Cited by 11 publications

References 38 publications

Estimated biomass carbon in thinned Cunninghamia lanceolate plantations at different stand-ages

Estimated biomass carbon in thinned Cunninghamia lanceolate plantations at different stand-ages

Tree- and Stand-Level Biomass Estimation in a Larix decidua Mill. Chronosequence

Effects of stand features on aboveground biomass and biomass conversion and expansion factors based on a Pinus sylvestris L. chronosequence in Western Poland

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