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应用生态学报 ›› 2010, Vol. 21 ›› Issue (12): 3036-3046.

• 研究报告 • 上一篇    下一篇

杉木人工林生物量估算模型的选择

李 燕,张建国**,段爱国,相聪伟   

  1. 中国林业科学研究院林业研究所国家林业局森林培育重点实验室,北京 100091
  • 出版日期:2010-12-18 发布日期:2010-12-18

Selection of biomass estimation models for Chinese fir plantation.

LI Yan, ZHANG Jian-guo, DUAN Ai-guo, XIANG Cong-wei   

  1. State Forestry Administration Key Laboratory of Forest Silviculture, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
  • Online:2010-12-18 Published:2010-12-18

摘要: 采用11种形式的生物量模型,分别对杉木幼龄林(7年生)、中龄林(16年生)、成熟林(28年生)和不分林龄的单木各器官和全株生物量进行拟合,共得到生物量估算模型308个.结果表明: 11种生物量模型均能较好地模拟杉木单木生物量,其中幂函数模型的拟合效果最优,其次为指数模型,然后为多项式模型;共选出估算杉木幼龄林、中龄林和成熟林各器官和全株生物量的最优模型21个(包括18个器官模型、3个全株模型),不分林龄的杉木单木各生物量的最优模型7个(包括6个器官模型、1个全株模型),均为幂函数模型;不同林龄的杉木单木生物量最优模型的通用性较差,而不分龄林的杉木单木生物量最优模型具有一定的通用性,精度较高,可用于估算不同林龄的杉木单木生物量.应用福建邵武杉木单木生物量模型对江西28年生的杉木成熟林单木各生物量的预测结果显示,不分林龄的大样本生物量模型精度较高,可在较大范围内应用,而区域小样本模型仅限于在区域小范围内应用.

关键词: 杉木人工林, 生物量, 估算模型, 4-葡萄糖苷酶, 温度敏感性, 土壤有机碳矿化速率, 酶动力学, &beta, -1, 温带森林

Abstract: A total of 11 kinds of biomass models were adopted to estimate the biomass of single tree and its organs in young (7-year old), middle-age (16-year old), mature (28-year old), and mixed-models fitted. Among the 11 kinds of biomass models, power function models fitted best, followed by exponential models, and then polynomial models. Twenty-one optimal biomass models for individual organ and single tree were chosen, including 18 models for individual organ and 3 models for single tree. There were 7 optimal biomass models for the single tree in the mixed-age plantation, containing 6 for individual organ and 1 for single tree, and all in the form of power function. The optimal biomass models for the single tree in different age plantations had poor generality, but the ones for that in mixed-age plantation had a certain generality with high accuracy, which could be used for estimating the biomass of single tree in different age plantations. The optimal biomass models for single Chinese fir tree in Shaowu of Fujian Province were used to predict the single tree biomass in mature (28-year old) Chinese firplantation in Jiangxi Province, and it was found that the models based on a large sample of forest biomass had a relatively high accuracy, being able to be applied in large area, whereas the regional models with small sample were limited to small area.

Key words: Chinese fir plantation, biomass, estimation model, soil organic carbon mineralization rate, enzyme kinetics, β-1,4-glucosidase, temperature sensitivity, temperate forest.