Estimation Of Carbon Emissions From Forest Fires In2003in Xiaoxing’ An Mountains

In this paper, efforts are spent in analyzing the outbreak rules of forest fires based on collecting the historical investigation data about forest fires of Xiaoxing’an mountains, Heilongjiang Province. The carbon emissions of forest are obtained by applying the high-resolution remote sensing image interpretation, burn area investigation, and indoor experiment, and meanwhile, the biomass loss in forest fires, carbon emissions of forest fires and carbon contained gas emission are also scientifically estimated according to experiment and previous findings. In this paper, the findings have provided scientific basis for carbon sink research, which will further establish a theoretical basis for the influence of forest fires on atmospheric environment. Thus, the results are of great significance to estimation global carbon balance and calculating forest carbon sink.Xiaoxing’an mountains have suffered from1781fires during1960and2010. It is proved that these fires are primarily caused by man. In1960s and1970s, forest fires happened frequently, there is an inter-annual declining trend in the late1980s and the1990s suffering from forest fires at least. Under the influence of global warming in this century, forest fires are increasing. In Xiaoxing’an mountains, The burned area has arrived697117.32hm2. Forest fires can be separated into two stages before1980, forest fires were severe before1980and become far less severe after1980.We chose the burned area which fire account in2003and which is representative,By using the change of remote sensing image before and after fires, coupled with the variation of NDVI, The results show that in2003, Xiaoxing’an mountains covered34103.38hm2of burned area. It turns out that the burned area estimated by remote sensing image is2.7%different from that recorded by fires data. Fire severity is graded by thresholding method to work out its distribution diagram, and ArcGIS software is applied to digitizing the vegetation map with the scale of1:1,000,000. On this basis, the distribution diagram of fire severity is overlaid with the digitized vegetation classification map to figure out the approximate areas of different vegetation types in different fire severity grades. For Larix gmelini forest, Betula platyphlla forest, Quercus mongolica forest and meadow, the burned areas are297.45hm2,3825.07hm2,29980.86hm2, and5490.14hm2, respectively, with Mongolian oak forest occupying the largest proportion.The burned biomass of forest fires in Xiaoxing’an mountains was1055633.14t, thereinto8707.78t in Larix gmelini forest,119312.88t in Betula platyphlla forest,927601.48t in Quercus mongolica forest. The burned biomass by high forest was926944.37t, the burned biomass by low forest was128677.77t. The results indicated that the carbon emission of forest fires in Xiaoxing’an mountains was475029.97t, it accounts for4.29%of the national carbon emissions, thereinto3918.50t in Larix gmelini forest,53690.81t in Betula platyphlla forest,417420.66t in Quercus mongolica forest.The result shows that amount of CO2was1354912.45t in forest fires, thereinto6686.04t in Larix gmelini forest,180689.50t in Betula platyphlla forest,1167536.91t in Quercus mongolica forest. The amount of CO was233029.96t, thereinto4562.42t in Larix gmelini forest,9561.75t in Betula platyphlla forest,218905.79t in Quercus mongolica forest. The amount of CxHy was7545.67t, thereinto174.66t in Larix gmelini forest,362t in Betula platyphlla forest,7009.01t in Quercus mongolica forest.