摘要
本文通过对海南岛热带山地雨林林分生物量估测方法的比较分析,表明材积转换法不适宜估算海南岛热带山地雨林林分生物量,其结果与皆伐法相比较一般偏高20％—40％;而用实测资料建立的生物量回归模型,对原始林林分有较好的估测结果,除树枝和树叶生物量外,树干、树皮及地上部分生物量的回归模型值,与皆伐法的结果比较,相对误差一般在±10％以内,为允许误差范围,而对热带山地雨林的更新林生物量的估测则效果较差,应建立相应的估测模型。平均木法有工作量小的优点,且误差也在16％以下,但要注意取样的树种多样性和取样强度,在实际中应当慎用。另外本文对测定热带山地雨林生物量(原始林)的所需面积大小问题作了研究,提出了生物量-面积曲线的概念,确定其最小调查面积为2500m^2以上。
Four methods for comparative analysis Including (A)clear-cutting, (B) volume (VOB) conversion, (C) regression model and (D) mean sample tree, have been used to measure or estimate the biomass of the tropical mountain rain forest in Hainan island,and the biomass measured by method(A) was used as a common standard for comparasion to those estimated by the other methods. Based on these methods,following results have been achieved:Method (B) is not suitable for estimating biomass of tropical mountain rain forest in Hainan island because the biomass estimated by method (B) is generally 20%-40% higher than that measured by method(A).The regression models (method (C)) of biomass established by field data in Hainan are successful in estimating the biomass of the original mountain rain forests and are failed in that of the regenerative mountain rain forests.Method (D) can be used to measure the biomass of the tropical mountain rain forests, but in practice,it must be careful to use this method because there are a lot of factors seriously effecting the result of biomass, especially the representativeness (different sampling species, tree shape,timber density,ect. ) and number of samples (more than 15% of total in plot).Based on discussing the biomass measurement of the tropical mountain rain forests, a concept of the Minimum area for biomass measurement has been suggested, in which the minimum area can be obtained from the biomass-area curve. It is pointed out that the minimum area for biomass measurement of the tropical mountain rain forests, in Hainan island is at least 2500 m2.
出处
《生态学报》
CAS
CSCD
北大核心
1993年第4期313-320,共8页
Acta Ecologica Sinica
关键词
热带山地雨林
生物量
估计
林分
tropical mountain rain forest, biomass, clear-cutting, volume conversion, regression model, mean sample tree, biomass-area curve.
