摘要
叶面积和比叶面积是植物生长过程中的重要参数。本研究基于河北木兰围场实测油松数据,通过winSEEDLE种子和针叶图像分析系统获得油松522个单个针叶的表面积LA、针叶长度L、针叶宽W、针叶周长P,分别建立了以针叶长、针叶宽、针叶周长等形状属性为自变量的叶面积估计模型和以针叶干质量为自变量的叶面积估计模型。用总相对误差、平均相对误差、平均相对误差绝对值、均方根误差、预估精度5个统计量来检验模型的误差和拟合优度,经检验模型LA=-2.761+0.464 L+6.608 W和LA=1.345+0.501 X分别为这两种模型中最好,X为针叶干质量。通过对算术平均法、比估计法、最小二乘法3种方法的比较,得到油松的比叶面积为7.08 m2.kg-1。本研究为油松叶面积的估计提供了一个简单可靠的方法。
Leaf area and specific leaf area are important parameters in the process of plant growth. 522 needles of Chinese pine （Pinus tabtdaeformis） in Mulanweichang were sampled and the needle surface area LA, needle length L, needle width W and needle perimeter P were obtained by winSEEDLE software. The models for leaf area and shape attributes including leaf length, leaf width, leaf perimeter and models for leaf area and leaf dry weight were developed, respectively. The total relative error, average relative error, average absolute relative error, root mean square error and predicted precision were used to verify the errors and the goodness of fit of the models. The models LA = -2. 761 ＋0. 464 L ＋6. 608 W and LA = 1. 345 ＋0. 501 X were proved to be the best, where X is the leaf dry weight. The specific leaf area of Chinese pine is 7.08 m^2·kg^-1 derived from the comparison among the arithmetic average method, ratio estimation method, and the least square method. It provides a simple and reliable method for estimating leaf area of Chinese pine.
出处
《林业科学研究》
CSCD
北大核心
2013年第2期174-180,共7页
Forest Research
基金
国家自然科学基金(No.31100474
30872022)
关键词
油松
叶面积
回归模型
比叶面积
Pinus tabulaeformis
leaf area
regression model
specific leaf area
