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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front. Earth Sci.    2016, Vol. 10 Issue (4) : 662-668    https://doi.org/10.1007/s11707-016-0562-7
RESEARCH ARTICLE
Carbon concentrations of components of trees in 10-year-old Populus davidiana stands within the Desertification Combating Program of Northern China
Huitao SHEN1,2,Wanjun ZHANG2,Jiansheng CAO2(),Xiang ZHANG3,Quanhong XU1,Xue YANG4,Dengpan XIAO1,Yanxia ZHAO1
1. Institute of Geographical Sciences, Hebei Academy of Sciences, Shijiazhuang 050011, China
2. Key Laboratory for Agricultural Water Resources, Hebei Key Laboratory for Agricultural Water-Saving, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
3. Institute of Agro-food Science and Technology, Shandong Academy of Agricultural Sciences, Jinan 250100, China
4. College of Agriculture, Kunming University, Kunming 650214, China
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Abstract

Most studies do not consider the potential variation in carbon concentration among the different tree components of the same species in regional scale. This study examined the carbon concentrations of the components (i.e., foliage, branch, stem, and root) in a 10-year-old poplar species (Populus davidiana Dode) from the Desertification Combating Program of Northern China. The highest and lowest carbon concentrations were found in the stem and foliage, respectively. There was a significant difference in carbon concentrations among the different tree components. All of the observed carbon concentrations of tree components were lower than those predicted using the conversion factor of 0.5 applied to component biomass. Stem carbon made up 59.7% of the total tree biomass carbon. The power equation estimating proportion of tree biomass carbon against the independent variable of diameter at breast height explained more than 90% of the variability in allocation of carbon among tree components. Tree height, as a second independent variable is also discussed. Our results suggest that the difference in organic carbon concentration among tree components should be incorporated into accurately develop forest carbon budget. Moreover, further investigations on how the diameter at breast height equation developed in the present study performs across broader scales are required.

Keywords biomass carbon equation      carbon content      destructive sampling      diameter at breast height      poplar     
Corresponding Author(s): Jiansheng CAO   
Just Accepted Date: 25 February 2016   Online First Date: 24 March 2016    Issue Date: 04 November 2016
 Cite this article:   
Huitao SHEN,Wanjun ZHANG,Jiansheng CAO, et al. Carbon concentrations of components of trees in 10-year-old Populus davidiana stands within the Desertification Combating Program of Northern China[J]. Front. Earth Sci., 2016, 10(4): 662-668.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-016-0562-7
https://academic.hep.com.cn/fesci/EN/Y2016/V10/I4/662
Fig.1  Sampling plots of poplar trees in the DCBT region. I: water resources protection zone in Yanshan mountainous and hilly region; II: desertificated land zone in agro-pasture region; III: Otingdag sandy land zone.
Plot No. Tree density
/(trees•ha?1)
Mean height/m Mean DBH/cm Longitude (E) Latitude (N) Altitude/m
1 1025 9.6 15.9 111°47′45.05″ 41°37′56.02″ 1102
2 925 10.0 8.6 113°36′15.8″ 39°43′41.5″ 1115.2
3 825 6.0 5.4 114°46′30.9″ 41°13′8.3″ 1421.2
4 1025 10.2 11.6 114°58′18.36″ 41°29′53.58″ 1386
5 975 17.3 16.5 116°45′25.8″ 41°9′43.4″ 598.7
6 425 8.2 7.1 116°29′6.9″ 41°22′4.2″ 872.9
7 875 9.8 12.6 117°33′12.1″ 42°10′31.6″ 1097.5
8 950 5.6 9.6 117°25′51.62″ 43°12′28.51″ 1184.7
9 1000 14.5 14.8 120°45′45.91″ 42°21′35.24″ 408
Tab.1  Descriptive characteristics of the 9 sampling sites in the Desertification Combating Program (DCBT) of Northern China
Biomass of dry weight/(kg·tree?1)
Foliage Branch Stem Root Total tree
Mean 3.36 5.02 21.18 6.77 36.32
SD 0.96 2.19 10.81 3.83 17.63
Min. 1.95 1.14 5.35 1.55 9.99
Max. 4.64 7.22 32.64 11.39 55.37
Tab.2  Biomass of tree components from sampled trees (n = 9)
Fig.2  Relative carbon contribution of the different components of 10-year-old poplar trees (Mean±SD).
Components C concentration/% OC PC ERD
Foliage 40.52±1.12a 1.36±0.38 1.68±0.48 ?23.45±3.50
Branch 42.63±2.32ab 2.12±0.89 2.51±1.10 ?17.61±6.80
Stem 44.70±1.30b 9.43±4.79 10.59±5.41 ?11.95±3.35
Root 42.99±1.32b 2.90±1.66 3.39±1.92 ?16.41±3.62
Total tree 15.81±7.64 18.16±8.82 ?14.61±3.00
Tab.3  C concentrations, observed (OC) and predicted C (PC) stocks of tree components, and the estimation of the relative difference (ERD) between OC and PC
Fig.3  Relationship between biomass carbon and diameter at breast height (DBH) (cm) of tree components for poplar species.
Tree component The model a b R2 Sig.
Foliage Cf = aDBHb 0.2037 0.7687 0.963 ***
Cf = a(DBH2H)b 0.2058 0.2595 0.925 ***
Branch Cb = aDBHb 0.1250 1.1411 0.951 ***
Cb = a(DBH2H)b 0.1357 0.3762 0.904 ***
Stem Cs = aDBHb 0.2029 1.5341 0.987 ***
Cs = a(DBH2H)b 0.2814 0.4775 0.910 ***
Root Cr = aDBHb 0.0299 1.8187 0.982 ***
Cr = a(DBH2H)b 0.0577 0.5310 0.862 *
Total Ct = aDBHb 0.4149 1.4567 0.995 ***
Ct = a(DBH2H)b 0.5576 0.4553 0.916 ***
Tab.4  Biomass carbon equations of tree components for 10-year-old poplar trees
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