文献类型：期刊文献

中文题名：福建地区马尾松生物量转换和扩展因子的影响因素

英文题名：Factors affecting the biomass conversion and expansion factor of masson pine in Fujian Province

作者：欧强新[1] 李海奎[1] 杨英[2]

第一作者：欧强新

机构：[1]中国林业科学研究院资源信息研究所;[2]国家林业局调查规划设计院

年份：2017

卷号：37

期号：17

起止页码：5756-5764

中文期刊名：生态学报

外文期刊名：Acta Ecologica Sinica

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2017_2018】；

基金：国家自然科学基金(31370634);中国清洁发展机制基金赠款项目:2020年后林业增汇减排的行动目标研究(2013014)

语种：中文

中文关键词：马尾松;生物量转换和扩展因子(BCEF);国家森林资源清查;增强回归树(BRT)

外文关键词：Masson pine; biomass conversion and expansion factor （BCEF） ; national forest inventory; boosted regressiontrees （BRT）

分类号：S812

摘要：基于第8次国家森林资源清查福建省331块马尾松的固定样地调查数据,利用增强回归树法(BRT)研究地上生物量转换和扩展因子(BCEF)和地下BCEF的影响因素。研究结果表明:林分特征因子和地形因子是影响地上BCEF以及地下BCEF的主导因素,二者对地上BCEF影响的相对贡献率之和为87.20%、地下BCEF为86.59%。其中,龄组和坡向分别是林分特征因子和地形因子中影响地上BCEF的最大因素(41.13%和14.52%)。地上BCEF随龄组的增大而逐渐减小;在东南坡最大、西坡最小。此外,龄组和坡向分别是林分特征因子和地形因子中影响地下BCEF的最大因素(41.54%和15.16%)。地下BCEF随龄组的增大而逐渐减增大;在东南坡最小、西坡最大。土壤因子对地上BCEF以及地下BCEF的影响都较小(12.80%和13.41%),腐殖层厚度是土壤因子中影响地上BCEF以及地下BCEF的最大因素(9.02%和9.13%)。在所有的影响因素中,龄组对地上BCEF以及地下BCEF的影响均最大,依据龄组计算相应的BCEF或者建立林龄普适的BCEF模型,可以有效地提高生物量的估算精度。
In this study, the boosted regression trees （BRT） method was used to analyze the main factors that influenced the above-and underground biomass conversion and expansion factor （BCEF） of Masson pine. Data from the permanent sample plot of the 8th Chinese National Forest Inventory for Fujian Province was used. The results showed that the cumulative relative influences of stand characteristic and topographic factors on above-and underground BCEF were 87.20 and 86.59%, respectively. Stand characteristic and topographic factors were the most important factors for both above-and underground BCEF. Among the stand characteristic factors, the age group was dominant, contributing to 41.13% of the aboveground BCEF differences that decreased with an increase in the age group, and 41.54% of the underground BCEF differences that increased with an increase in the age group. Among the topographic factors, slope was the key variable, contributing to 14.52% of aboveground BCEF differences, which were the highest at the southeast slope and the lowest at the west slope, and 15.16% of the underground BCEF differences, which were the lowest at the southeast slope and the highest at the west slope. In addition, soil factors had a lower effect on both above and underground BCEF. The relative influences of soil factors on above-and underground BCEF were 12.80 and 13.41%, respectively. Among the soil factors, the thickness of the humus layer was the key variable, contributing to 9.02% of the aboveground BCEF differences and 9.13% of the underground BCEF differences. Among all influencing factors, age group had the highest effect on both above-and underground BCEF. Consequently, the ways, such as calculating BCEF based on age group or building universal BCEF models of all age, could achieve a better precision of biomass.