Study On The Biomass And Carbon Storage Of2Kinds Of Shrubs In Qinghai Loess Hilly Region

Biomass and carbon storage is very significant in the study ofclimate change and carbon cycle. This paper, through the concept ofbiomass research forest biomass of the development proeess and theresearch situation at home and abroad, it is concluded that the currentforest biomass study existence deficiency. This study takes potentillafruticosa and salix oritrepha in Loess Hilly Region in Qinghai Provinceas the object of the research to set up two species biomass regressionmodel by the SPSS, ArcGIS and other research methods, studying onpotentilla fruticosa and salix oritrepha biomass and carbon storage inLoess Hilly Region in Qinghai combined with the data of forestresources inventory. Not only provide the theory basis of statisticalcarbon storage of the2kinds of shrubs for the local area in QinghaiProvince, but also can provide theoretical for similar shrub forestresource inventory and carbon storage accounting works. Results arefollows:(1) Obviously it is caused by the difference of the livingenvironment. The aboveground biomass and underground biomass ofpotentilla fruticosa and salix oritrepha have obvious synergistic effectand fully demonstrated the existence of interdependence and mutualrestraint dialectical relationship between aboveground and undergroundparts of plants. Two kinds of shrubs root are relatively balanced with thestem, branches and leaves of the upper part in the exchange of substanceand energy level. This can ensure the photosynthetic efficiency ofaerial parts of plants and guarantee the absorption of water, inorganic salts and other nutrients of the necessities of underground root’sactivities. This makes it possible to adapt to survive and develop in theharsh environment of arid and semi-arid loess hilly region of theNorthwest and also determines the the two shrubs an unshakableposition in local and advantage of species.(2) By correlation analysis,the correlation of whole clump ofbiomass of potentilla fruticosa(W) and the ramet number(N), from northto south crown(Cw), H×Cw and H×Cw2are above0.5and relativelyhigh and are significantly correlated at the level of0.01. Afterconsidering its pros and cons, choose of the ramet number of trees,north to south crown, H×Cw and H×Cw2four factors as the modelingfactors.(3) By the analysis and comparison of the correlation coefficient Rvalue, F test, analysis of variance of the mean square error, meanabsolute relative error of RMA, the total relative error of Rs and otherindexes, the optimal model of single clump of biomass of jinlumei wasidentified as the multivariate model W=5.892×N+0.001×H×Cw2+2.297and the optimal model of single clump of biomass of salix oritrepha wasidentified as the Compound curve model W=75.806(1.018)Cl. Throughthe test and evaluation of the model shows that the effect of the two bestmodels fit well and have statistically significant. The precision of themodels satisfy the demands of the subject. They have high credibilityand the the regression effect is notable. They have certain practicalapplication value, therefore, can greatly reduce workload of workoutside the industry and laboratory.(4) Based on biomass, through the analysis and processing ofArcGIS software, we can conclude the total carbon reserves ofpotentilla fruticosa in research area is81.4969million tons. The amountof absorption of the CO2in research area is299.0936million tons. Theamount of emissions of the O2in research area is217.5967million tons.The total carbon reserves of salix oritrepha in research area is69.0975million tons. The amount of absorption of the CO2in research area is253.5878million tons.The amount of emissions of the O2in research area is184.4903million tons. Thus, the efficiency of carbon fixationand oxygen release of potentilla fruticosa and salix oritrepha is veryconsiderable.