How temperature, precipitation and stand age control the biomass carbon density of global mature forests

2013 ◽  
Vol 23 (3) ◽  
pp. 323-333 ◽  
Author(s):  
Yingchun Liu ◽  
Guirui Yu ◽  
Qiufeng Wang ◽  
Yangjian Zhang
Keyword(s):  
Stand Age ◽  
Biomass Carbon ◽  
Carbon Density

scholarly journals Sustained Biomass Carbon Sequestration by China’s Forests from 2010 to 2050

Forests ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 689 ◽  
Author(s):  
Chunhua Zhang ◽  
Weimin Ju ◽  
Jingming Chen ◽  
Meihong Fang ◽  
Mengquan Wu ◽  
...  
Keyword(s):  
Carbon Sequestration ◽  
Northern Region ◽  
National Forest Inventory ◽  
Forest Growth ◽  
Forest Area ◽  
Stand Age ◽  
Biomass Carbon ◽  
Forest Types ◽  
Carbon Density ◽  
Middle Aged

China’s forests have functioned as important carbon sinks. They are expected to have substantial future potential for biomass carbon sequestration (BCS) resulting from afforestation and reforestation. However, previous estimates of forest BCS have included large uncertainties due to the limitations of sample size, multiple data sources, and inconsistent methodologies. This study refined the BCS estimation of China’s forests from 2010 to 2050 using the national forest inventory data (FID) of 2009−2013, as well as the relationships between forest biomass and stand age retrieved from field observations for major forest types in different regions of China. The results showed that biomass–age relationships were well-fitted using field data, with respective R2 values more than 0.70 (p < 0.01) for most forest types, indicating the applicability of these relationships developed for BCS estimation in China. National BCS would increase from 130.90 to 159.94 Tg C year−1 during the period of 2010−2050 because of increases in forest area and biomass carbon density, with a maximum of 230.15 Tg C year−1 around 2030. BCS for young and middle-aged forests would increase by 65.35 and 15.38 Tg C year−1, respectively. 187.8% of this increase would be offset by premature, mature, and overmature forests. During the study period, forest BCS would increase in all but the northern region. The largest contributor to the increment would be the southern region (52.5%), followed by the southwest, northeast, northwest, and east regions. Their BCS would be primarily driven by the area expansion and forest growth of young and middle-aged forests as a result of afforestation and reforestation. In the northern region, BCS reduction would occur mainly in the Inner Mongolia province (6.38 Tg C year−1) and be caused predominantly by a slowdown in the increases of forest area and biomass carbon density for different age–class forests. Our findings are in broader agreement with other studies, which provide valuable references for the validation and parameterization of carbon models and climate-change mitigation policies in China.

scholarly journals Assessment of Carbon Density in Natural Mountain Forest Ecosystems at Northwest China

2021 ◽  
Vol 18 (4) ◽  
pp. 2098
Author(s):  
Li Dai ◽  
Yufang Zhang ◽  
Lei Wang ◽  
Shuanli Zheng ◽  
Wenqiang Xu
Keyword(s):  
Carbon Content ◽  
Carbon Storage ◽  
Forest Ecosystems ◽  
Soil Layer ◽  
Northwest China ◽  
Biomass Carbon ◽  
Forest Age ◽  
Carbon Density ◽  
Old Growth Forest ◽  
Content Ratio

The natural mountain forests in northwest China are recognized as a substantial carbon pool and play an important role in local fragile ecosystems. This study used inventory data and detailed field measurements covering different forest age groups (young, middle-aged, near-mature, mature, old-growth forest), structure of forest (tree, herb, litter and soil layer) and trees (leaves, branches, trunks and root) to estimate biomass, carbon content ratio, carbon density and carbon storage in Altai forest ecosystems. The results showed that the average biomass of the Altai Mountains forest ecosystems was 126.67 t·hm−2, and the descending order of the value was tree layer (120.84 t·hm−2) > herb layer (4.22 t·hm−2) > litter layer (1.61 t·hm−2). Among the tree parts, trunks, roots, leaves and branches accounted for 50%, 22%, 16% and 12% of the total tree biomass, respectively. The average carbon content ratio was 0.49 (range: 0.41–0.52). The average carbon density of forest ecosystems was 205.72 t·hm−2, and the carbon storage of the forest ecosystems was 131.35 Tg (standard deviation: 31.01) inside study area. Soil had the highest carbon storage (65.98%), followed by tree (32.81%), herb (0.78%) and litter (0.43%) layers. Forest age has significant effect on biomass, carbon content ratio, carbon density and carbon storage. The carbon density of forest ecosystems in study area was spatially distributed higher in the south and lower in north, which is influenced by climate, topography, soil types and dominant tree species.

scholarly journals Soil Aggregation and Organic Carbon Dynamics in Poplar Plantations

Forests ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 508 ◽  
Author(s):  
Zhiwei Ge ◽  
Shuiyuan Fang ◽  
Han Chen ◽  
Rongwei Zhu ◽  
Sili Peng ◽  
...  
Keyword(s):  
Microbial Biomass ◽  
Organic Carbon ◽  
Soil Microbial Biomass ◽  
Fine Root ◽  
Microbial Biomass Carbon ◽  
Critical Role ◽  
Stand Age ◽  
Biomass Carbon ◽  
Soil Microbial ◽  
Soil Microbial Biomass Carbon

Soil resident water-stable macroaggregates (diameter (Ø) > 0.25 mm) play a critical role in organic carbon conservation and fertility. However, limited studies have investigated the direct effects of stand development on soil aggregation and its associated mechanisms. Here, we examined the dynamics of soil organic carbon, water-stable macroaggregates, litterfall production, fine-root (Ø < 1 mm) biomass, and soil microbial biomass carbon with stand development in poplar plantations (Populus deltoides L. ‘35’) in Eastern Coastal China, using an age sequence (i.e., five, nine, and 16 years since plantation establishment). We found that the quantity of water-stable macroaggregates and organic carbon content in topsoil (0–10 cm depth) increased significantly with stand age. With increasing stand age, annual aboveground litterfall production did not differ, while fine-root biomass sampled in June, August, and October increased. Further, microbial biomass carbon in the soil increased in June but decreased when sampled in October. Ridge regression analysis revealed that the weighted percentage of small (0.25 mm ≤ Ø < 2 mm) increased with soil microbial biomass carbon, while that of large aggregates (Ø ≥ 2 mm) increased with fine-root biomass as well as microbial biomass carbon. Our results reveal that soil microbial biomass carbon plays a critical role in the formation of both small and large aggregates, while fine roots enhance the formation of large aggregates.

Biomass carbon density and carbon sequestration capacity in seven typical forest types of the Xiaoxing’an Mountains, China

2015 ◽  
Vol 39 (2) ◽  
pp. 140-158 ◽  
Author(s):  
HU Hai-Qing ◽  
◽  
LUO Bi-Zhen ◽  
WEI Shu-Jing ◽  
WEI Shu-Wei ◽  
...  
Keyword(s):  
Carbon Sequestration ◽  
Biomass Carbon ◽  
Forest Types ◽  
Carbon Density

scholarly journals Differences in spatial patterns and driving factors of biomass carbon density between natural coniferous and broad-leaved forests in mountainous terrain, eastern Loess Plateau of China

2021 ◽  
Author(s):  
Lina Sun ◽  
Qixiang Wang ◽  
Xiaohui Fan
Keyword(s):  
Loess Plateau ◽  
Climatic Factors ◽  
Driving Factors ◽  
Coniferous Forests ◽  
Mountainous Terrain ◽  
Biomass Carbon ◽  
Mountain Forests ◽  
Natural Forests ◽  
Carbon Density ◽  
Integrative Framework

Abstract Background Mountain forests in China are an integral part of the country’s natural vegetation. Understanding the spatial variability and control mechanisms for biomass carbon density of mountain forests is necessary to make full use of the carbon sequestration potential for climate change mitigation. Based on the 9th national forest inventory data in Shanxi Province, which is mountainous terrain, eastern Loess Plateau of China, we characterized the spatial pattern of biomass carbon density for natural coniferous and broad-leaved forests using Local Getis-ord G* and proposed an integrative framework to evaluate the direct and indirect effects of stand, geographical and climatic factors on biomass carbon density for the two types of forests using structural equation modeling. Results There was no significant difference between the mean biomass carbon densities of the natural coniferous and broad-leaved forests. The number of spots with a spatial autocorrelation accounted for 51.6% of all plots of the natural forests. Compared with the broad-leaved forests, the hot spots at the 1% significance level for the coniferous forests were distributed in areas with higher latitude, higher elevation, lower temperature, and lower precipitation. Geographical factors affected biomass carbon density positively and indirectly, via the stand and climatic factors, with larger effects for the natural coniferous than broad-leaved forests. Latitude and elevation are the most crucial driving factors for coniferous forests, but stand age and forest coverage are for broad-leaved forests. Climatic factors had weaker effects than other factors, with negative effects of temperature for coniferous and no effects for broad-leaved forests. Conclusions The effects of stand, geographical and climatic factors on biomass carbon density are different between natural coniferous and broad-leaved forests, respectively. Employing the integrative framework can improve the prediction of the impact of stand, geographical and climatic factors on natural forests in mountainous areas.

Biomass carbon density in natural oak forests with different climate conditions and stand ages in northwest China

2018 ◽  
Vol 23 (6) ◽  
pp. 354-362 ◽  
Author(s):  
Jun-Wei Yue ◽  
Jin-Hong Guan ◽  
Mei-Jie Yan ◽  
Jian-Guo Zhang ◽  
Lei Deng ◽  
...  
Keyword(s):  
Northwest China ◽  
Oak Forests ◽  
Biomass Carbon ◽  
Carbon Density ◽  
Climate Conditions

scholarly journals Biomass Accumulation and Carbon Sequestration in an Age-Sequence of Mongolian Pine Plantations in Horqin Sandy Land, China

Forests ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 197 ◽  
Author(s):  
Xiao Zhang ◽  
Xueli Zhang ◽  
Hui Han ◽  
Zhongjie Shi ◽  
Xiaohui Yang
Keyword(s):  
Carbon Sequestration ◽  
Forest Floor ◽  
Developmental Stages ◽  
Northern China ◽  
Stand Age ◽  
Horqin Sandy Land ◽  
Sandy Land ◽  
Carbon Density ◽  
Tree Biomass ◽  
Ecosystem Carbon

The Mongolian pine (Pinus sylvestris L. var. mongolica Litv.) was first introduced to the southeastern Horqin sandy land in the mid-1950s. Since then, it has been widely planted and has become the most important conifer species in Northern China, providing significant ecological, economic and social benefits. However, its function in sequestering carbon at different developmental stages has been little studied. In this study, twenty plots inventory and destructive sampling of eight trees were conducted in 12-, 19-, 34-, 48- and 58-year-old Mongolian pine stands of China. Allometric biomass equations (ABEs) for tree components were established and used to determine the magnitude and distribution of tree biomass and carbon density. The carbon density of the understory, forest floor and soil was also determined. The ABEs with age as the second variable could simply and accurately determine the biomass of plantation tree branches, foliage and fruit, which were considerably influenced by age. With increasing stand age, the proportion of stem biomass to total tree biomass increased from 22.2% in the 12-year-old stand to 54.2% in the 58-year-old stand, and the proportion of understory biomass to total ecosystem biomass decreased, with values of 7.5%, 4.6%, 4.4%, 4.1% and 3.0% in the five stands. The biomass of the forest floor was 0.00, 1.12, 2.04, 6.69 and 3.65 Mg ha−1 in the five stands. The ecosystem carbon density was 40.2, 73.4, 92.9, 89.9 and 87.3 Mg ha−1 in the 12-, 19-, 34-, 48-, and 58-year-old stands, in which soil carbon density accounted for the largest proportion, with values of 67.4%, 76.8%, 73.2%, 63.4%, and 57.7% respectively. The Mongolian pine had the potential for carbon sequestration during its development, especially in the early stages, however, in the later growth stage, the ecosystem carbon density decreased slightly.

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