Study On The Carbon Gain Model In Fir And Pine

Study on the Carbon Gain Model in Fir and?pine? ?Forest plays an important role in global carbon cycling and regional carbon cycling. Forest, as the largest organic carbon pool in the terrestrial ecosystem, contains 76 percent to 98 percent of the organic carbon of the entire terrestrial ecosystem. Its impact on the density of CO₂ has caught more attention from scientists and governments all over the world. According to a research from Intergovernmental Panel on Climate Change(IPCC) in 2000, the global carbon storage of the forest ecosystem is 854 to 1505 Gt, and the carbon storage of the vegetation is 359 to 766 Gt. The carbon fixation of the global forest ecosystem, taking up over 86 percent of the global vegetation and 73 percent of the global soil carbon pool, is almost two third of that of the global terrestrial ecosystem and plays a vital role in lessening carbon payment imbalance in terrestrial ecosystem.To suppress the tendency of global warming, the third conference of the United Nations Framework Convention on Climate Change(UNFCCC) approved the Kyoto Protocol in December 1997, which ruled that by 2010 the global emission of the greenhouse gas should have decreased 5.2% compared with 1990. The constraint task and time-table of the greenhouse emission of 15 developed countries were determined while developing countries would shoulder no responsibilities and constraint tasks temperately.It is well known that the measurement of the carbon content of forest is a hard, time-consuming and strenuous work. For these reasons, it is fundamental to apply an effective and accurate survey method. Carbon model estimation method, which makes use of the trees easily measured factor to calculate the forest carbon and to lessen field work on forest carbon's measurement, is a good way to solve this challenge. In spite of a certain amount of the biomass of the sample trees should be measured in the modeling process, the inventory data of the forest resources could be used to estimate monoclonal and the entire forest stand carbon content in the same kinds of forest stand as long as the models are established. This method has a certain precision guarantee that can also decrease research workload greatly.Recent years, China has done a lot of researches on the capacity of carbon sequestrate and influence of environments on the capacity of carbon sequestrate in different China forest types. The results were got more attentions by scholars at home and abroad. But after having an overview of domestic and international research profile, there has not been studies on the carbon content and storage in forest harvest model. We studied on the carbon yield models of Cunninghamia lanceolata and Pinus massoniana timber forests in Fuzhou, Jianyang and Yongan . The results were:1 In Fuzhou, Jianyang and Yongan, the carbon factors of Cunninghamia lanceolata and Pinus massoniana were determinate. The average carbon factors of Chinese Fir and Pinus massoniana were 501.659 g / kg and 505.456 g / kg separately in Fuzhou; the mean carbon factor of Cunninghamia lanceolata and Pinus massoniana were 502.496 g / kg and 503.510 g / kg in Jianyang and the average carbon factors were 501.755 g / kg and 503.510 g / kg in Yongan.2 By using the Stepwise Regression method to fix the parameter of the carbon yield models, and using the Least-Squares regression to calculate the selected parameter , the carbon yield models for the different components of Cunninghamia lanceolata and Pinus massoniana are established.The models of Cunninghamia lanceolata are as followed: C_Total = 769.803H^-0.292V, C_aboveground = 374.438H^-0.105V, C_stem = 153.372D^0.126V, C_branch = 359.722(D² H)^-0.289V, C_leaf = 429.423H^-1.019V, and C_root= 467.774D^-0.631V. The models of Pinus massoniana are as followed: C_total = 609.904D^1.398H^-1.503V, C_{a boveground} = 489. 657D^1.281H^-1.366V, C_stem = 436. 931D^0.716H^-0.796V, C_branch = 22. 169D^3.360H^3.225V, C_leaf = 1. 113D^4.142H^-3.320V, and Croot = 93 .384D1.925H?2.037V.3 Through the analyses of the information plots, carbon storage harvest models of Cunninghamia lanceolata (C_C) and Pinus massoniana(C_P) are calculated, Which are C_C = 932.56D^-0.0954H^-0.198SDI^0.0903M and C_P = 1024.52D^-0.115H^-0.102SDI^-0.0872M separately,and the stand harvest tables are got finally.