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Forest and Grassland Resources Research >

2022 , Vol. 0 >Issue 6: 44 - 53

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2022.06.008

Scientific Research

Characteristics of Carbon Density and Its Influencing Factors of Pinus massoniana Forest Based on CBM-CFS3 Model

  • Min ZHANG ,
  • Jian WANG ,
  • Tianyi HAN ,
  • Xunzhi OUYANG ,
  • Ping PAN ,
  • Dongdong LIU
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  • 1. Key Laboratory of National Forestry and Grassland Administration for the Protection and Restoration of Forest Ecosystem in Poyang Lake Basin,College of Forestry,Jiangxi Agricultural University,Nanchang 330045,China
    2. Ming Yue Mountain Forestry Centre of Anfu County,Ji’an,Jiangxi 343200,China
    3. Jiangxi Forestry Resources Monitoring Center,Nanchang 330046,China

Received date: 2022-10-14

  Revised date: 2022-10-28

  Online published: 2023-01-16

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Abstract

Based on the sample plot data from the forest resources inventory of Ganzhou City,the carbon density of Pinus massoniana forest was calculated by regional scale carbon budget model (CBM-CFS3),and the spatial distribution and influencing factors of carbon density were analyzed by geostatistics and multiple stepwise regression methods,respectively. The results showed that there were differences in the optimal stand age-accumulation equation for different forest types and origins of Pinus massoniana forests. In general,the Logistic model,Richards model and Gompertz model fit better than the Korf model. The total carbon density of the stand was 135.08MgC/hm2,in which the carbon densities of the vegetation layer carbon pool and the dead organic matter (DOM) carbon pool were 41.51MgC/hm2 and 93.57MgC/hm2,respectively. The vegetation layer carbon pool showed as trunk>branches>roots>leaves while DOM carbon pool showed as soil layer>litter>dead wood. The total carbon density of forest stands had a certain positive correlation in space,mainly concentrated in 106.73-161.16MgC/hm2. The area of the low-value carbon density area was larger than the high-value carbon density area,but there was no obvious regularity in space. Age group,average diameter at the breast height (DBH),canopy density and annual mean temperature were all highly significantly and positively correlated with the total carbon density of forest stands (P<0.01),so they were the main factors affecting carbon density. The growth model constructed by the sample plot data from the forest resources inventory was used to estimate forest carbon density in the CBM-CFS3 model,which was conducive to get a more comprehensive and accurate estimation of different carbon pools in regional forests. The vegetation factor was the main factor affecting its carbon density.

Key words： Pinus massoniana forest; forest carbon density; CBM-CFS3 model; influencing factors;southern Jiangxi Province

Cite this article

Min ZHANG , Jian WANG , Tianyi HAN , Xunzhi OUYANG , Ping PAN , Dongdong LIU . Characteristics of Carbon Density and Its Influencing Factors of Pinus massoniana Forest Based on CBM-CFS3 Model[J]. Forest and Grassland Resources Research, 2022 , 0(6) : 44 -53 . DOI: 10.13466/j.cnki.lyzygl.2022.06.008

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