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Carbon Storage Estimation And Its Changes Of Phyllostachys Edulis Forests In Fujian Province

Posted on:2017-06-13Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2323330488475636Subject:Forest cultivation
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The increasing atmospheric greenhouse gas had intensified the global warming,As its ability to absorb and storage CO2,forests had drawn more and more public attentio n.Forests cover about one third of the land surface,it is the main part of the terrestri al ecosystem,which stored about 73% of the global vegetation carbon pools and 86% of soil carbon pools.Ascertaining the magnitude of forest carbon storage and its spatial and temporal distribution can let us know the evaluation of carbon sequestration abilit y and its contribution in the global carbon cycle in a scientific way.What's more,Mos o bamboo(Phyllostachys edulis),which is the mainly ecological economic bamboo spec ies in south China,has many characteristics such as growing fast,one time cultivation can be used for sustainable utilization and has great carbon sequestration potentiality.H owever,although Moso bamboo in Fujian province had extensive distribution,the studie s about its carbon storage and continuous dynamic changes were few.In this research,we take Fujian province's Moso bamboo as the example,using the basis of bamboo bi omass models which was modeled by cutting 103 strains of bamboo in the year of 2014 and biomass density estimation models which was modeled by investigating leaf are a index of 209 plots between the year of 2014 and 2015,with the combination of the MODIS data and forest inventory data of Fujian province in recent 15 years,to estim ate Moso bamboo aboveground biomass density and carbon storage,and analyzes the d ynamic characteristics of different periods.The driving factors of carbon storage's dyna mic change in Fujian bamboo was simply illustrated.The main research results are as follows:(1)5 function models,such as linear function,logarithmic function,power function,are used as the alternate model of allometric growth relationship,and place of fitting model selection,selection principles is R and RSS.the estimation methodology of carb on storage based on the Allometric theory had been presented through the model of DBH-aboveground biomass B=0.712D1.477(R2=0.585,n=90,P=0.002)and LAI-abovegro und biomass density BD =28.252L1.730(R2=0.525,n=57,P=0.002)by the power functi on.The validation of the model was evaluated by ME,MAD,MPE,MAPE,MSE as t he standard,and the results of the validation of the two allometric growth models were better.Biomass allometric growth model parameters are often due to the difference of species,climate conditions and growth stage and change constantly,this study selected t he moso bamboo forest of the northern Fujian provinces,the established model of allo metric growth can adapt to the status of the moso bamboo forest in fujian other areas need further verification(2)On the basis of field investigation,subcompartment division in Google Earth h ook draw bamboo plaque 259,and produced vector distribution of Moso bamboo forest in Huangkeng in ArcGIS,fitting the biomass density spatial distribution of Moso bam boo forest in Huangkeng,Huangkeng Moso bamboo forest aboveground biomass and ca rbon stocks were estimated combined with GS+ and ArcGIS geostatistical module on th e basis of geostatistical theory.The prediction distribution of Moso bamboo forest abov eground biomass density mainly in 42 ~ 63 in Huangkeng,the northwest region than the southeast area of biomass density were high,it may reveal the diversity of moso b amboo forest management in different areas.This study's semivariogram nugget is 0.500,it showed that the random factors and spatial autocorrelation of moso bamboo forest aboveground biomass density spatial heterogeneity are both influence,it should be con sideration of more factors such as climate,topography and soil,and improve the estima tion accuracy in the further research.Huangkeng town Moso bamboo's aboveground bio mass density was 53.49 t?hm-2,aboveground biomass was 0.62 Tg and carbon storage was 0.31 Tg.(3)The EVI-aboveground biomass density model had been established with the bio mass density and the Mean,maximum and minimum values of EVI,After the fit and selection of multiple models,the inversion model BD=183.773E31.367(R2=0.666,n=110,P<0.001)was established by using the power function with the mean value of EVI as the independent variable,the validated results of inversion model are well.Based on bamboo growth cycle,this study had been regarded a period as every two years of M ODIS EVI data,2001-2002 for the first period,2003-2004 for the second period,2005-2006 for the third period,2007-2008 for the fourth period,2009-2010 for the fifth peri od,2011-2012 for the sixth period,2013-2014 for the seventh period.The aboveground biomass density of Mao bamboo forest in seven periods had been estimated with the distribution map of Moso bamboo forest and remote sensing data recent 15 years in Fu jian Province and EVI model,the estimated values of seven times were 43.54 t?hm-2,38.57 t?hm-2,38.49 t?hm-2,39.63 t?hm-2,38.55 t?hm-2,41.60 t?hm-2,52.62 t?hm-2,respecti vely.The results show a drop in the primary stages,but turn to rapid rise in the end after a steady transition.Bamboo aboveground carbon storage changed from 20.35 Tg to26.39 Tg between 2001 and 2014,increased by 29.68%.(4)The dynamic changes of the Moso bamboo forest aboveground carbon storage at different periods for recent 15 years were analyzed after the the distribution of the Moso bamboo forest aboveground biomass storage have been mapped by ArcGIS.Tthe middle and northern region of Moso bamboo forest carbon storage were higher than t hat of the western region,the bamboo forest biomass storage mainly in 10-30 t?hm-2 in2001-2012,carbon storage have increased significantly,mainly in 20 ~ 40 t?hm-2 in 2013-2014.Bamboo aboveground biomass density changed from 21.77 t?hm-2 to 26.31 t?h m-2 between 2001 and 2014.The results show a drop in the primary stages,but turn t o rapid rise in the end after a smooth transition.Then some recommendations such as spray irrigation.This study have been divided into five grades Moso bamboo forest aboveground carbon storage,0-10(t·hm-2)for the first grade,10-20(t·hm-2)for the second grade,20-30(t·hm-2)for the third grade,30-40(t·hm-2)for the fourth grade,>40(t·hm-2)for the fifth grade,Five grades of Moso bamboo forest carbon aboveground carbon storage trend figure and structure variation figure of Moso bamboo forest aboveground carbon storage.The second grade of the carbon distribution area was the largest,the second was the third grade,the fifth was minimum,the overall distribution pattern presents the spindle structure in the six period of 2001-2012;The carbon distribution pattern in 2013-2014 an another six period has obvious diversity,Third grade carbon distribution area was the largest,the second was the fourth grade,the smallest was the first grade,the average aboveground carbon storage also exceeded 12.5 t·hm-2.The aboveground carbon storage distribution of Moso bamboo forest in fujian province in 2001-2001 years are mainly concentrated in the first level to the fourth level,of which 2001-2002,94% of Moso bamboo forest aboveground carbon storage was less than 40 t·hm-2,99% of moso bamboo forest aboveground carbon storage was not more than 40 in 2003-2012 years,and over 90% of Moso bamboo forest aboveground carbon storage distribution area was more than 10 t·hm-2,14.08% of aboveground carbon storage distribution area was more than 40 t·hm-2 in 2013-2014 years.
Keywords/Search Tags:bamboo forest, diameter at breast height, leaf area index, enhanced vegetation index, biomass, carbon storage, dynamic change, geostatistics
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