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    莫可, 赵天忠, 蓝海洋, 李维. 基于因子分析的小班尺度用材林森林质量评价——以福建将乐国有林场为例[J]. 北京林业大学学报, 2015, 37(1): 48-61. DOI: 10.13332/j.cnki.jbfu.2015.01.007
    引用本文: 莫可, 赵天忠, 蓝海洋, 李维. 基于因子分析的小班尺度用材林森林质量评价——以福建将乐国有林场为例[J]. 北京林业大学学报, 2015, 37(1): 48-61. DOI: 10.13332/j.cnki.jbfu.2015.01.007
    MO Ke, ZHAO Tian-zhong, LAN Hai-yang, LI Wei. Quality assessment at subcompartment level of forests used for timber production based on factor analysis: a case study in Jiangle national forest farm, Fujian Province.[J]. Journal of Beijing Forestry University, 2015, 37(1): 48-61. DOI: 10.13332/j.cnki.jbfu.2015.01.007
    Citation: MO Ke, ZHAO Tian-zhong, LAN Hai-yang, LI Wei. Quality assessment at subcompartment level of forests used for timber production based on factor analysis: a case study in Jiangle national forest farm, Fujian Province.[J]. Journal of Beijing Forestry University, 2015, 37(1): 48-61. DOI: 10.13332/j.cnki.jbfu.2015.01.007

    基于因子分析的小班尺度用材林森林质量评价——以福建将乐国有林场为例

    Quality assessment at subcompartment level of forests used for timber production based on factor analysis: a case study in Jiangle national forest farm, Fujian Province.

    • 摘要: 为研究福建省将乐国有林场用材林的森林质量,对二类调查数据进行分析和归类,以因子分析法研究了各森林质量指标之间的相关性,据此合理构建了小班尺度的用材林森林质量评价指标体系,涵盖了林木因子、林下植被、土层条件和地形条件4个评价方面,并根据因子分析法的数据计算了指标权重。基于所得指标体系,提出了以小班为尺度的森林质量指数即小班质量指数的计算公式,计算了将乐国有林场明头山工区和余坊工区共325个小班的质量指数,并得到了小班质量指数较优的各经营类型小班的树种比例和种植密度。研究结果表明:1)幼龄林阶段的小班质量指数较低,中龄林、近熟林阶段逐渐升高,到成熟林、过熟林阶段则达到稳定。2)在各龄组下,明头山工区的小班质量情况均优于余坊工区。3)从质量分级标准来看,2个工区都没有达到优级质量标准的小班,达到良级质量标准的小班也仅有少数,2个工区的森林质量都具有较大的提升空间。本研究提出的小班尺度用材林森林质量评价指标体系及其方法,数据来源方便,权重赋值客观,计算结果便于比较。基于该指标体系计算得到的小班质量指数能够较好地反映森林经营的综合效益,并为未来森林经营方案的制定提供参考依据。

       

      Abstract: To study the quality of forests used for timber production at the Jiangle national forest farm of Jiangle County, Fujian Province, we analyzed and categorized its forest management inventory data and used factor analysis to find correlations among several forest quality indices. We then established an index system of timber forest quality at the subcompartment level. Four assessment aspects were covered, i.e.,a timber factor, understory vegetation, soil conditions and terrain conditions. After that we used the inventory data to calculate the weights of the four indices with factor analysis. formula for a quality index (SQI) at the subcompartment level is proposed based on this index system and quality indices for each of the 325 subcompartments of the Mingtoushan and Yufang regions were calculated and the number of species and density of trees in the various management subcompartments with optimal SQIs listed. The study results are as follows: (1) the SQI in stands at the sapling stage was low, it increased gradually in immature and near-mature forests and reached its maximum level in mature and overmature forests where the index remained stable. (2) The quality of the subcompartment in the Mingtoushan region was higher than that in the Yufang region at every age group. (3) From a quality point of view, there was no excellent-level subcompartment in either region. Even when there were only a few good-level subcompartments, most subcompartments were of the average and below average level. There is therefore ample room for improvement in the quality of the forests in the Jiangle national forest farm. The source of data was conveniently accessible, the weights were objective and the results comparable, to the use of our index system of forest quality at the subcompartment level, as in our case. The SQI calculated from our index system reflects the comprehensive benefits of forest management and provide references for making forest management plans in the future.

       

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