Biomass And Carbon Storage Of Larch Plantation

Forest ecosystem is a mainly body of the earth’s terrestrial biosphere，and accuratelyestimate the forest biomass and carbon sequestration plays an important role in global carboncycle. In this study, data of tree biomass were obtained from destructive sampling of310treesin six different regions of larch plantation in China. Technical and precies for estimating andpredicting the biomass and carbon storage for larch plantation conducted a study of a system inthe paper. Bayesian approach was used to establish the biomass model for comparing theBayesian no-hierarchical and Bayesian hierarchical approach. Bayesian hierarchical approachprovided a new method to establish the biomass modeles. Baesd Bayesian hierarchicalapproach, the continuous biomass expansion factor (BEF) method was used to estimate thestand biomass which combined National Forest Resource Inventory Data. The carbon storageof trees and stands were estimated under measured carbon content from the each componentsamples. The variation in different regions of the biomass and carbon storage were alsoanalyzed. These provided technical and theorical support for accounting and monitoring theChinese forest biomass and carbon stocking.The mainly conclusions were as foollows:(1)304functions of80papers was collectted which represented the allometryaboveground biomass model. Although these models have a broad distribution which are thesame species or different species in different regions, but the values of parameters a and b werea small range of variation. It found the distribution of the parameters a and b were wellapproximated by a bivariate normal. ANOVA was tested to parameters in different Genus. Theresult showed that there was only significant difference in parameter b.(2) Allometric biomass equations of the total and each component were fitted used byminimum-least-square regression and Bayesian approach. Meanwhile the Bayesianno-hierarchicaland and Bayesian hierarchical approaches was also used to built and compared the biomass model. The result showed that with sample size was more than50, both bayesianmethod and minimum-least-square regression was no significant difference in the meanabsolute error. And it was less than50, bayesian method was better than minimum-least-squareregression. Compared to Bayesian no-hierarchical and Bayesian hierarchical approaches,Deviance information criterion (DIC) reduced and the coefficient of determination (R2)elevated when used Bayesian hierarchical approach. F test was used to analyze the differencesof effect models in the two methods. There were a significantly differences except theallometric equations of skin. Therefore, Bayesian hierarchical approach was a better approachthan Bayesian no-hierarchical when they used to estimate the biomass in large scales.(3) Based Bayesian hierarchical approaches to build the bioamss model of the total andeach component, and the diameter and height growth equations was also built for predicted thetree’s total and each component biomass. The proportions of each component biomass werecalculatedand analyzed the changing order with ages in six regions. The result showed that theproportion of stem biomass was a rising trend, and the proportions of root, skin, branch andleaf biomass exhibited a declining trend. The each component and total biomass were alsoanalyzed the changing with the ages. The result showed that root, skin, branch and leaf biomasshad not a significant trend. But stem and total biomass had a consistent variation whichfollowed L. kaempferi of Hubei province﹥L. kaempferi of Gansu province﹥L. kaempferi ofLiaoning province﹥L. olgensis of Heilongjiang province﹥L. principis—rupprechtii of Hebeiprovince﹥L. gmelinii of Inner Mongolia.(4) Continuous biomass expansion factor of stand biomass were built that used byBayesian hierarchical approach. Combined National Forest Resource Inventory Data toestimated the standing biomass of different regions. The biomass of per hectare in each regionwas followed middle stands﹥young stands﹥pre-mature stands﹥mature stands, and thebiomass of per hectare in different regions was followed L. kaempferi of Hubei province﹥L.kaempferi of Gansu province﹥L. kaempferi of Liaoning province.The biomass of per hectare were respectively61.34t/hm2,54.91t/hm2and50.51t/hm2, and the total standing biomasswere respectively723941.83t,984962.26t and8263708.41t.(5) The carbon content of each component was measured in different regions whichplayed an important role in accurately estimate the carbon stocking. ANOVA was tested tocarbon content of each component. It found that there was significant variation in differentregions of each component. Therefore, The carbon content of each component was determinedin every region，and the carbon content of tree was calculated by the weighted whose based onthe proportions of each component biomass.(6) The carbon storage of larch plantation was calculated which based on trees models,standing models and carbon content. The tree’s carbon stocking were also analyzed thechanging with the age in six regions. These showed that stem, skin, branch and leaf carbonstorage had not a significant trend. But total and stem carbon storage had a consistent variation,the followed order was L. kaempferi of Hubei province﹥L. kaempferi of Gansu province﹥L.kaempferi of Liaoning province﹥L. olgensis of Heilongjiang province﹥L.principis—rupprechtii of Hebei province﹥L. gmelinii of Inner Mongolia. The carbon storageof per hectare was followed order: L. kaempferi of Hubei province﹥L. kaempferi of Gansuprovince﹥L. kaempferi of Liaoning province. The carbon storage of per hectare wererespectively33.19t/hm2,26.30t/hm2,23.79t/hm2, and thetotal standing carbon storage wererespectively391652.52t、471796.92t and3909044.37t。(7) The growth inflections of trees and stands were determined from analyzed the biomassand carbon storage growth in each year. Annual biomass and carbon storage growth of treeswere increased before23years, and the increasement reached maximum between23-26years,and Annual increasing growth decreased after26years. The growth inflection of stands wasmidel stand. Annual biomass and carbon storage growth of per hectare were followed middlestands﹥young stands﹥pre-mature stands﹥mature stands...