Multidimensional Diversity Characteristics Of Woody Plants In Changchun Parks And The Relationship With Biomass

Parks are a kind of important resource different from other kinds of urban forests.As the main body of urban forests,in order to provide a more scientific theoretical basis for park planning or management in the future,many scholars have carried out research on park biodiversity,forest structure,ecology and so on.However,there are few studies about the overall ecological services capacity of the park.In this study,the urban parks within the Changchun Ring Expressway were taken as the research object.By calculating species diversity index,structural diversity index,functional diversity index and functional dominance value,and using Pearson analysis,Anova and regression analysis to analyze the relationship between multidimensional diversity and aboveground biomass.This study found:（1）The results showed that there were 3995 woody plants belonging to 25 families47 genera,92 species,which were investigated from parks of Changchun.Shannon-wienner diversity index（H’）and Pielou evenness index significantly differed in different administrative districts,and Margalef index(d _Ma)exited significantly difference in different construction years.The indexes of each park were between 0.48 to 2.The tree layer were more abundant,the shrub species were less used,and was not outstanding in the study of species diversity in various cities.In addition,species diversity was significantly correlated with structural diversity.Specifically the DBH structural diversity index（H_d）was significantly positively correlated with H’,the tree height structural diversity index（H_h）was correlated with d _Ma,H’,and species richness（SR）.The mean diameter at breast height（DBH）was significantly negatively correlated with d _Ma,and H’,and significantly negatively correlated with SR,and the mean tree height（H）was extremely significantly negatively correlated with d _Ma,J,and SR.（2）The number of plants and species of woody plants in Changchun Parks was the largest at the standard DBH between 10-20cm.There are significant difference in four indexes,H_h,H_d,DBH,and H,from different administrative districts,DBH and H have significant difference in different construction years.There is correlations among the four indicators of structural diversity,H_dincreases with the increase of H,H_h decreases rapidly with the increase of DBH and H,DBH and H have significantly positively correlated.（3）There are significant differences in the functional diversity indexes among different administrative districts,and there were significant differences in the functional dispersion(FD_is)of parks with different construction years.In addition,the community weighted mean of N（CWM_N）and the community weighted mean of H（CWM_H）significantly differed in different administrative districts,and the community weighted mean of C content（CWM_C）and the community weighted mean of leaf dry matter content(CWM_LDMC)significantly differed among different construction years.Structural diversity and species diversity were significantly correlated with functional diversity,among which functional evenness(FE_ve)and FD_is were significantly positively correlated with H’and d _Ma,and significantly positively correlated with J.Rao quadratic entropy index（Rao _Q）has a extremely significant positive correlation with H’and d _Ma.In terms of structural diversity,DBH was significantly positively correlated with FE_ve,FD_is and Rao _Q.（4）There were significant differences in above-ground biomass of different construction years.Biodiversity has a significant impact on it.DBH,H,H_d were positively correlated with aboveground biomass.But,H_h,FE_ve were negatively correlated with aboveground biomass.Species diversity had no significant correlation with aboveground biomass.The multiple regression equation between aboveground biomas and correlation factors was Y=6.229+0.102x1-0.105x2+0.825x3+0.206x4-0.585x5.x1is DBH,x2 is average tree height,x3 is DBH structural diversity index H_d,x4 is tree height structure diversity index H_h,x5 is functional evenness Index FE_ve The multiple stepwise regression equation was Y=6.24+0.088x1+0.639x3,the fitting effect is remarkable.