Tree productivity (P) and biomass (M) relationship and allometric scaling function between belowground biomass (MA) and aboveground biomass (MA) are two important relationships not only reflect plant adaptation to the environment, but also have significant implications in global carbon cycling, climate change, and forest management. However, how biotic factors (e.g. tree age, diameter at breast height [DBH], height) and abiotic factors (e.g. elevation, latitude, and longitude) influence these two relationships has not been well investigated. We analyzed a large database on tree productivity and biomass in China to derive their relationships and tested whether these biotic and abiotic factors correlate with changes in the modeling parameters. We first split the entire database into different groups by either tree age, DBH, height, latitude, longitude or elevation. For each group, we developed the allometric model between MB and MA and between P and M using major axis method. Linear regression model was also applied to P and M. To test whether the scaling exponent is independent of biotic and abiotic factors, we analyzed the relationship between the model parameters and these factors.
Results/Conclusions
We found that MB was significantly related to MA following a scaling function with a scaling exponent of 0.964. The scaling exponent of MB and MA did not vary with tree age, density, latitude, longitude, or elevation, but varied with DBH, height, and elevation. The mean of scaling exponent over all groups was 0.986. Among 57 scaling relationships developed, 26 and 37 scaling exponents were not significantly different from 1.0 at α=0.05 and 0.01 levels, respectively. The scaling exponent of P and M varied with tree age, height, and density following a quadratic pattern, but decreased linearly with elevation. Our results generally support the isometric hypothesis that MB scaled near isometrically with MA. There was also a significant relationship between P and M in China, but the relationship varied with some biotic and abiotic factors.