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Remote Sensing-based Monitor Phyllostachys Praecox Forest And Its Dynamic Of Carbon Stocks

Posted on:2012-04-24Degree:MasterType:Thesis
Country:ChinaCandidate:D J DongFull Text:PDF
GTID:2213330368479246Subject:Forest management
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The study is part of the'948'item of national forestry bureau (grants, 2008-4-49) and NationalNatural Science Foundation (grant, 30700638). Bamboo is a special forest type mainly distributed insemi-tropical area of China, which plays an important role in regional ecosystem and in carbon dioxide(CO2) absorbability and global carbon balance. In recent years, the area of bamboo, especially forPhyllostachys praecox area, has increased quickly because of the policy in developing bamboo forest.SoPhyllostachys praecox LUCC have the significance for the study of ecological environment. Based onthe combination of two periods (2002 and 2008) remote sensing data and forest resources inventory data,we study Phyllostachys praecox LUCC and its effect on carbon stocks, and on landscape. Finally, weanalyse the driving force. The result will be provides the basis for harmonious development ofeconomic benefit, ecological benefit and social benefit and policy. Our study include the following fiveaspects:1. Based on the Phyllostachys praecox ground plot data (including DBH, tree height, under branchheight, number, etc), Phyllostachys praecox biomass estimation model was established.2. After registration, calibration, atmosphere correction and terrain correction, two periods Landsat TMimage were classified.Temporal-spatial change in land use were analyzed using land use amplitudeformula, transfer matrix and dynamical degree.3. We use plot data and remote sensing data to establish Phyllostachys praecox aboveground biomass(AGB), and quantitative retrieval the two different period Phyllostachys praecox biomass , thenconver to carbon stocks. And the study the dynamic characteristics for carbon stocks.4. Effects of changes in Phyllostachys praecox area on carbon stocks and the landscape pattern havebeen analyzed.5. Driving force of Phyllostachys praecox forest change was preliminarily analyzed.This paper gets the following conclusions:1. Phyllostachys praecox AGB model at plot level was established: W = 1.2476CN + 5.2568 , CN isthe number of Phyllostachys praecox, and the determination coefficient (R~2) is 0.61.2. Comparions among different terrain correction models, results showed that Cosine correction andSCS correction were overcorrection due to ignoring the sky around the aimless and scattering and reflection radiation ryzhkov; Teillet - regression, C, SCS + C, Minnaert terrain correction models gotgood results.3. Classification accuracy of each image and Phyllostachys praecox forest were high enough. Theoverall classification accuracy of each TM image was higher than 85%, and classification accuracy ofPhyllostachys praecox is also greater than 80%. The classification accuracy is suitable forapplication.4. Results showed that Phyllostachys praecox area is increasing (36.56 million acres), and farmlandarea is decreasing (35.56 million acres) from 2002 to 2008, and the conversion of farmland toPhyllostachys praecox area was notable (18.79 million acres). The dynamic degree of Phyllostachyspraecox was the biggest, which implied that change in Phyllostachys praecox area was the greatest.5. Estimation accuracy of Phyllostachys praecox AGB was improved using teillet terrain correction.The estimation model is y = 0.009×TM 4 + 0.005×TM 5 -23.106 , with correlation coefficientof 0.687. The model is used to quantitatively inversion of 17 counties Phyllostachys praecox biomasscarbon stocks.6. Through Phyllostachys praecox carbon stocks of spatial and temporal variation analysis, atmosphericcarbon emitted were 300.08Mg and 253.42 Mg respectively due to the conversions of Phyllostachyspraecox into broadleaf forest and coniferous forest. Conversion of farmland into Phyllostachyspraecox forest was the most notable. However, its corresponding carbon change is less (0.45 Mg).7. Using the diversity index, dominance index, evenness index analysis to analyze the effect of LUCCon landscape at Linan city, results found that the levels of landscape heterogeneity and diversificationhave degraded while the landscape pattern types were increasing. Finally, analysis of the drivingforces of land use changes showed that policy, technology and profits are main factors resulting in theincrease of Phyllostachys praecox forests.
Keywords/Search Tags:Phyllostachys praecox, LUCC, carbon stocks, ecological environment, remote sensing
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