Stoichiometry Characteristics of Leaf in Plant Functional Groups at Different Community Succession Stages in Central Guizhou Karst Area
By the method of"space replacing time",investigations were carried out on the dominant plants in natural secondary forest at different stages,namely herb to shrub stage,shrub stage,and arbor stage in Guizhou karst area.According to the classification of different functional group based on plant light orientation,living type and leaf's temperament,leaf stoichiometry characteristics were analyzed,especially on C,N,P,K and the ratio of different nutrient of the dominant plants.The results indicated that:(1)The content of OC,TN,TK and TP in plant leaf were 511.35±34.16mg/g,18.27±4.33mg/g,11.30±3.87mg/g and 1.41±0.54mg/g respectively,there was significantly positive correlation between TN and TP (P<0.01),while the others did not show significant correlation between each other (P>0.05);(2)The content of OC and TP in the plant leaf gradually decreased along with the forward succession of herb to shrub stage-shrub stage-arbor stage,while the content of TK and TN showed a decrease after an initial increase.The content of OC in plant leaf at herb to shrub stage was significantly higher than that at the arbor stage (P<0.05),while the others did not show significant correlation between each other (P>0.05);(3)There were different variation patterns of OC,TN,TP and TK in leaf of different functional groups with different photosynthetic characteristics,the content of OC and TP in leaf showed that shrub tree species>arbor tree species,the content of TK and TN showed that arbor species > shrub species,deciduous trees > evergreen.Plant leaves in the study area presented high content of organic matter and TC accumulation capacity.Plant growth was jointly limited by TN and TP.The rich content of K may be considered as the important factor of plants' adaptation to harsh habitat and the nutrient limitation of N and P.
ecological stoichiometryfunctional groupscommunity successionnutrient diagnosiscentral Guizhou karst area
NETL
NSTL
万方数据
维普
