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The Carbon Distribution Characteristic And Storage Of Forest Vegetation In Jilin Province

Posted on:2015-04-09Degree:DoctorType:Dissertation
Country:ChinaCandidate:C N FanFull Text:PDF
GTID:1223330434955080Subject:Ecology
Abstract/Summary:PDF Full Text Request
This study estimated the forest vegetation carbon storage and carbon density, discussed the distribution of the carbon storage, measured carbon content of arbor, shrub, herb and litter in Jilin province by using field investigation data of561plots and forest resources inventory. The results can reduce the estimation uncertainties for region forest ecosystem, understand the role of forest in global carbon cycle, and provid basis for the forest management in the trade of carbon sink. The main results are as following:The biomass of arbor layer was between77.70-200.78t/hm2in main forest types, among which the content of mixed wood was the highest, and the poplar plantation, mongolian pine plantation, and chinese pine plantation forest were relatively low. The biomass of aboveground and underground made up respectively78.85%-87.15%and12.96%-20.56%of the total biomass in all forest types; the mean biomass was the highest in the stem, which was more than that in the root and branch, and the foliage biomass was the lowest, they respectively made up61.62%,17.96%,17.96%and3.08%of the total biomass.The biomass of sapling was between0.00-1.07t/hm2, and had high variation in the same and different forest types. The biomass of shrub and herb respectively varied from0to2.36t/hm2and0.04to1.34t/hm2, the distribution of which showed randomness in the different forest types. The average value of litter standing crop varied from2.17to6.92t/hm2in different stand. The undecomposed standing crop was more than the half of semi-decomposed standing crop, making up48.08-71.99%and28.30-52.09%. Among the percentage of the undecomposed standing crop, showed that, coniferous forest> broadleaf forest> mixed forest.There was a closed relationship between the biomass of the arbor layer, and volume, the average diameter, as well as the stand density in different stand. The two models of volume and biomass could be applied to estimating the arbor layer biomass, because its R value was high, and S value was low. Using harvest method to gathered and measured for sapling and shrubs, we constructed the biomass equation of14kinds of sapling and12kinds of shrubs, its fitting and verification results had an accuracy requirement.The biomass of the shrub and herb had a significant positive correlation with conditions of the stand and site (eg. Korean broad-leaved forest). Both the total and aboveground biomass of shrub had a significant positive correlation with the average diameter and a significant negative correlation with the density of the stand. The herb biomass with the canopy density had a significant negative correlation. For the shrub, its total and belowground biomass in upslope were more than that of minus grade, while for the herb, its aboveground and total biomass in middle slope are more than that of upslope and minus grade. The aboveground and total biomass of herb was remarkably more than any other slope aspect in the shady slope. But influenced by the slope aspect, the biomass of herb and shrub were no obvious difference.The total standing crop and semi-decomposition of the litter increased with the stand density increasing, and the undercomposed standing crop was increased with the stand volume and biomass increasing (eg. mongolian oak forest). The total standing crop and components of the litter were affected significantly by the classes of slope and the slope aspect, increased as the classes of slope increases, the biomass of the shady slope was the highest, which was more than that in the sunny slope and the flat; but the influence was not obvious by the slope position. The standing crop of the litter, especially the total standing crop and semi-decomposition, was affected significantly by temperature and precipitation, while the undecomposed standing crop has a significant negative correlation with precipitation of driest quarter, precipitation of coldest quarter and precipitation of driest month.The organs carbon contents of main tree species were from38.24%to54.07%. Organs carbon content was random in different tree species. But it showed that the stem was more than the branch, the root, and the foliage successively. The carbon content was from41.81%to53.20%in different tree species, and that of coniferous trees species was higher than broad-leaved tree species. The mean of carbon content was from45.80%to52.97%in different forest types, and the difference of carbon content was root in diversity of species composition. The carbon content of herb was from35.96%to42.66%, and showed that carbon content of aboveground was higher than that of belowground. The carbon content of shrub was higher than herb, from41.82%to47.25%, whose carbon content showed that stem was more than root and foliage successively. The weighted mean value of litter carbon content was from28.54%to44.09%in all forest types, and the mean was36.34%. The carbon content of litter compositions was extremely significant in Korean broad-leaved forest, showed that branch was higher than leaves, miscellany and semi-decomposition successively. But only the carbon content of semi-decomposition was significant in different plots. There was a significant positive correlation between the carbon content of semi-decomposition and broad-branches as well as coniferous branches and coniferous leaves, but there was a significant negative between the carbon content of semi-decomposition and semi-decomposition ratio of total standing crop. The carbon content of broad-branches has a significant positive correlation with coniferous leaves; the carbon content of leaves significantly decreased with canopy density increasing.Based on survey data of sample plots, the carbon density of vegetation was from37.92t/hm2to103.71t/hm2in different forest types, among which the mixed wood was the highest, and the plantations were the lowest. With the Kriging analysis, the biomass and carbon density were higher in the east of Jilin province, and center in Changbai Mountain natural reserve and the east of Wangqing; middle part and west part were relatively low. Based on forest inventory data and survey data of sample plots, estimation results showed that the carbon storage and the carbon density were respectively415.653TgC and51.911t/hm2in forest vegetation Jilin province, the carbon storage mean in the arbor layer, the litter layer, the shrub layer, the sapling and the herb layer was respectively386.131TgC,17.537TgC,6.639TgC,2.847TgC, and2.499TgC, and the carbon density mean in the above-mentioned was respectively48.224t/hm2,2.190t/hm2,0.829t/hm2,0.356t/hm2and0.312t/hm2, which made up respectively92.90%,4.22%,1.60%,0.68%and0.60%of the vegetation carbon storage and carbon density.The forest type composition based broadleaved mixed forest, the mongolian oak forest, and the mixed wood in carbon storage of arbor layer, which totally made up77.59%and72.20%of the arbor layer and vegetation carbon storage in Jilin province. The carbon storage made up respectively45.13%,22.26%,21.67%,6.93%and4.01%of the arbor in the middle-aged forest, mature forest, half-mature forest, young forest, and overmature forest. The carbon density increased obviously with the age class increasing, the rate of increase was the highest in the young forest to the middle-aged forest (261.12%). The carbon density and carbon storage of arbor layer was higher in the eastern mountains, while lower in the western plains in Jilin province. The carbon density of Yanbian was the highest, Baishan was in the second place, Liaoyuan and Baicheng were relatively low, less than30t/hm2. The carbon storage in Yanbian and Baishan made up65.67%of the whole province; that in Jilin and Tonghua maked up26.32%, that in5administrative regions in the west region was less than8TgC, making up8.01%of the whole province.
Keywords/Search Tags:Jilin province, Forest vegetation, Biomass, Model construction, Carbonstorage, Carbon density
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