[ Objective] To futher discuss stand density. [ Method] The paper filtered stand data according to stand law and established regression equation, fitting the regression equation based on the postreg function of MATLAB software. [Result] The fitting method was simple and efficient, fitting precisionl was greater than 95% . [ Conclusion] The function of MATLAB software was convenient and fitted for fitting model.%木材含碳率是木材碳储量估算的重要因子之一,准确测定木材含碳率对于木材碳储量结果有着重要的意义.该研究在木材含碳率测定过程中,提出了利用生长锥取样的新方法,避免了以往取样过程中对树木和生态环境造成的破坏.选择小区域尺度帽儿山实验林场4种不同树种木材为试样进行含碳率的测定,共选择相同直径、不同生长环境和光照方向的l60个样品进行测定.结果表明:针叶材整体含碳率高于阔叶材,生长环境和遗传因素对木材含碳率也存在一定影响.
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