Comparison of models for estimating stem surface area of coniferous trees grown in old-growth natural forests
Comparison of models for estimating stem surface area of coniferous trees grown in old-growth natural forests
复制标题
天然老林针叶树茎表面积估算模型的比较
DOI：
10.1080/13416979.2020.1847818
复制
发表时间：
2021
影响因子：
1.5
通讯作者：
Yamamoto K
中科院分区：
文献类型：
--
作者：
Inoue A;Koyama R;Koshikawa K;Yamamoto K
树干表面积（S）在树干呼吸、自疏死亡、降雨截留等树木或森林生理生态过程中起着重要作用。由于直接测量S耗时耗力，因此已针对人工林中生长的针叶树建立了由常用测量的树木属性预测S的模型。然而，还没有天然森林中生长的树木的模型。在这项研究中，我们比较了回归模型估计Suusing 122个样木的8个针叶树种在古老的天然林木生区，长野县，日本中部。S与胸径与树高乘积（DH）的关系为S = 1.924DH（R2= 0.996），与树种无关。天然林回归的斜率系数估计值与人工林回归的斜率系数估计值相近。这些发现表明了模型的通用性和广泛的适用性。与此相反，沙地断面积（G）回归的斜率系数因树种而异，天然林比人工林的斜率平缓。MonteCarlo模拟结果表明，仅需20株样木即可估计出SandDH之间的回归系数，而用G作为预测因子则需要60株以上的样木。总之，在预测天然林和人工林中生长的各种针叶树的S时，S与D之间的回归模型是有用的。
Stem surface area (S) plays an important role in the eco-physiological processes of trees or forests such as stem respiration, self-thinning mortality, and rainfall interception. As the direct measurement ofSis time-consuming and labor-intensive, models for predictingSfrom commonly measured tree attributes have been developed for coniferous trees grown in plantations. However, there have been no models for trees grown in natural forests. In this study, we compared regression models for estimatingSusing 122 sample trees of eight coniferous species felled in old-growth natural forests in Kiso district, Nagano prefecture, central Japan. The relationship ofSto the product of diameter at breast height and tree height (DH) could be expressed asS= 1.924DH(R2= 0.996), independent of the species. The estimated slope coefficient of the regression of the natural forests was close to that of plantations reported in a previous study. These findings indicated the generality and wide applicability of the model. By contrast, the estimated slope coefficient of the regression betweenSand basal area (G) varied with the species, and the slope was gentler in the natural forests than the plantations. Monte Carlo simulation revealed that only 20 sample trees were necessary to estimate regression coefficient for the relationship betweenSandDH, whereas more than 60 trees were needed ifGwas used as predictor. In conclusion, the regression model betweenSandDHis useful when predictingSof various coniferous trees grown in both natural forests and plantations.