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Study on Organic Carbon Density of Forest Ecosystem in Jinggangshan

Author: LinWei
Tutor: ZhengBoFu；LiJunSheng
School: Nanchang University
Course: Environmental Science
Keywords: Carbon density Biomass Evergreen broad-leaved forest Lanceolata plantation Environmental factors Jinggangshan
CLC: S718.5
Type: Master's thesis
Year: 2010
Downloads: 170
Quote: 3
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Abstract

Forests as the main body of the terrestrial ecosystem, is the largest carbon pool in the terrestrial ecosystem, plays an irreplaceable role in regulating the global carbon balance and slow the rising concentration of atmospheric CO2 and other carbon-containing greenhouse gas and the regulation of global climate change. The study of the carbon cycle and carbon sequestration in forest ecosystems has become the focus of the current global climate change research. Major forest types in Jinggangshan Nature Reserve, sub-vegetation layer (including trees and understory vegetation), litter and soil layer (surface 1 m) compared Jinggangshan important forest type carbon density and carbon density and its impact factors do the relevant aspects of the analysis, the main conclusions are as follows: (1) Jinggangshan important forest carbon density sort evergreen broad-leaved forest gt; the mixed coniferous gt; the artificial fir forest gt; deciduous broad-leaved Lin gt; pubescens; average of five kinds of soil carbon density of forest types 22.453 kg/m2, 77.3% of the total forest carbon density, soil layer carbon density differences between the different forest types; vegetation layer carbon density differences, coniferous mixed forest carbon density maximum (12.039 kg/m2), 9.1 times the minimum carbon density deciduous broad-leaved forest (1.322 kg/m2); significant tree layer carbon density differences between the different forest types, tree layer carbon density Sort coniferous and broad mixed forest (11.877 kg/m2) gt; evergreen broadleaf forests gt; artificial fir forest gt; the Phyllostachys gt; deciduous broad-leaved forest (1.156 kg/m2); shrub layer total carbon density differences of large, sort of evergreen broadleaf Ye Lin (0.153 kg/m2) gt; the artificial fir forest gt; the mixed coniferous gt; pubescens gt; deciduous broadleaf forest (0.027 kg/m2); herbaceous layer carbon density differences 0.074 kg/m2 ( lanceolata plantation) 0.108 kg/m2 (Phyllostachys); litter layer carbon lowest density, litter layer carbon density differences between the different forest types, between 0.064 ~ 0.084 kg/m2. (2) through the establishment of shrub biomass model to estimate of Jinggangshan shrub biomass, high precision, simple and easy. Analysis of the biomass model, found that the small number of factors involved in modeling, mainly to the the ground diameter D and height H. In the the biomass modeling process, to choose objective and easy to operate measurement factors in modeling key. (3) evergreen broad-leaved forest and artificial Chinese fir forest carbon density and NDVI, LAI and wood product correlation analysis showed that the relationship between the layers in the evergreen broad-leaved forest and artificial fir forest carbon density and NDVI not significant; these two forests, trees and vegetation layer carbon density and volume has a good correlation, R2 is 0.97, the correlation is not very good and LAI, only artificial fir forest R2 reached a significant level above 0.7; the overall carbon density and volume of the two forest types and LAI correlation analysis showed that only has a good overall evergreen broad-leaved forest carbon density and volume, no significant correlation level. (4) evergreen broad-leaved forest and artificial Chinese fir forest carbon density there is a good correlation between the annual average temperature and annual precipitation; evergreen broad-leaved forest carbon density and annual average temperature into positively correlated with annual precipitation negative correlation; the artificial fir forest carbon density and annual precipitation is related to environmental factors such as temperature and precipitation, with the annual average temperature is negatively correlated; their interactions would plant growth and forest carbon storage have a profound impact. Due to the complexity of the forest ecosystem, the various estimating biomass model without uniform standards, which may reduce the comparability of the conclusions of the study. Estimating biomass model established applications as well as sub-regional in the research areas of carbon reserves should be increased in the future new techniques and methods to improve research accuracy, thereby enhancing the comparability of research findings.

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