| Forest ecosystem plays an extremely important role in slowing down the Greenhouse effect, maintaining the global carbon balance. As the international community make focus on the global climate change, and many important documents signed by the international negotiations such as the Kyoto Protocol, “Marla Kersh Agreement”, the “Copenhagen Agreement” and so on, the forest carbon sinks problem has been the hot topics for the scholars in the related study.As far as now, most existing carbon stocks research are combined with forest productivity and biomass. After the 1920 s, some European scientists also made some similar works, the International Biological Program(IBP) in 1964-1974 carried by ICSU was the start point of the carbon storage about global terrestrial forest ecosystem research. In our country, forest carbon storage research has made some progress, but most researches focused on Cunninghamia lanceolata forest, Picea asperata(Mast) and Abies fabri(Mast.) Craib forest, Pinus massoniana Lamb. forest, Pinus koraiensis forest, Eucalyptus forest, other broad leaf species and bamboo and some other major forest ecosystems.In the 21 st century, environmental issues began to pose a big threat to human development, but also seriously affect the environment and social development of western in China, Picea Crassifolia is the dark coniferous forest in northwest high mountains and also is one of the main afforestation tree species in the northwest in the northwest provinces, playing an important economic value in water conservation, regulating climate, maintaining ecological balance and construction, papering. etc. Picea Crassifolia naturally cold and drought is one of the best trees in the Northwest climate change, therefore, it becomes necessary to study the forest carbon source-sink relations and the productivity of carbon.Therefore, under the back ground of the global environmental issues and forest ecosystem carbon cycle, this study using the method of regression equations and wood analytic growth to estimate and anally the biomass and carbon stocks of natural Picea Crassifolia forest in different altitude, trying to learn the structure and function of natural systems, in order to determine the best habitat of Picea Crassifolia forest, and also provide basic data for the research on the global carbon cycle. The results are as follows:(1) Based on the relative growth model HDW)(ab2?, the biomass of two sites were 18.8678 kg/m2, 2.0258 kg/m2. In order to estimate the ecological economic value of Picea crassifolia accurately, this study use the measured values of the parse wood in site 1 as reference, take each of Picea crassifolia vegetation biomass correcting by ±23kg.(2) The Picea crassifolia vegetation biomass with same age(60 years) showed that: sample 1 was at 150.9578 to 461.4381 kg, and sample 2 was 44.0644 to 129.4913 kg. If taking the biomass as indicator, we can determine initially that site 1 more suitable for the Picea crassifolia forest growth than site 2.(3) Based on harvesting method and laboratory analysis detection, the carbon content rate in whole plant of each Picea crassifolia plots was 0.4983 and 0.4534, all less than the 0.5. The organs of carbon rate in plots 1 is 0.4566~0.5379, plots 2 is 0.5082~0.4197, the coefficient of variation was 1.64% and 2.57%. By estimates, two plots of Picea crassifolia forest living biomass carbon were estimated as 11203.39 kg and 4267.56 kg, and were lower by 23.37% and 14.86% respectively than the actual(potassium dichromate sulfuric acid oxidation method).(4) Actual results show: the biomass at site1 is higher than the 2, Picea crassifolia carbon reserves 12870.38 kg at site 1, site 2 is 4803.64 kg, carbon stocks of per same age plant at site 1 is more than 23 kg to site 2, while the same age plants of DB and height at site 1 also shows higher than site 2. We conclude that the conditions of site 1 is more suitable for the Picea crassifolia forest growth than site 2. |
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