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Comparison of two compatible biomass models: A case study from three broadleaved tree species in Guangdong.

CAO Lei, LI Hai-kui*   

  1. (Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China).
  • Online:2019-06-10 Published:2019-06-10

Abstract: Based on biomass data of 270 individuals of three broadleaved tree species in Guangdong, Cinnamomum camphora,Schima superba, and Liquidambar formosana, a multiple nonlinear joint estimation was adopted with components addition and total control methods to separately establish onevariable (diameter at breast height, DBH) and bivariate (DBH and tree height or DBH and canopy width) compatible biomass equations. The fitting goodness and estimated accuracy of compatible equations derived from these two methods were evaluated. The results showed that: (1) The compatible equations separately established by components addition and total control methods performed well, with no significant difference in estimated accuracy between them. The model of components addition performed slightly better. (2) Binary equations generally performed better than the unitary equation. Adding the second variable could produce different impacts for tree components. With tree height as the second variable, the binary model improved the fitting effect of stemwood and stem-bark biomass. With the canopy width as the second variable, the model improved the fitting effect of branch, foliage, and aboveground biomass. For the compatible equation of broadleaved species, using the DBH and canopy width of trees could get better accuracy. (3) Compatible model based on the second variable respectively from components model performed better, even with higher accuracy for total biomass estimation than individual model. The components addition was slightly better than total control in constructing compatible model. For the selection of second explanatory variable of broadleaved tree species, the binary model accuracy with canopy width factor was higher than that with tree height factor.

Key words: soil CO2 efflux, soil CO2 concentration,  arid region, cotton field, plastic film mulching.