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基于连续清查固定样地生物量的立地质量评价
引用本文:季碧勇,陶吉兴,王文武.基于连续清查固定样地生物量的立地质量评价[J].西南林学院学报,2012(4):45-50.
作者姓名:季碧勇  陶吉兴  王文武
作者单位:浙江省森林资源监测中心,浙江 杭州 310020
基金项目:基金资助:浙江省林业厅项目(浙林资[2010]95号)资助.
摘    要:以浙江省内陆立地区——非岩成土地区山地丘陵的立地为研究对象,用998个森林资源连续清查固定样地作为建模样本,以单位面积生物量年生产量为因变量,采用以生物量为指标的直接评价法,通过逐步回归分析筛选出立地质量主导因子,根据数量化理论I模型,构建立地质量数量化评价模型,评价研究区内各立地类型的立地质量等级,估算区域内各等级林地面积。结果表明:海拔、坡位、坡向、土层厚度、腐殖质层厚度5个因子可作为立地质量评价的主导因子;以生物量作为立地质量评价指标,具有较好的生物学意义;构建的立地质量评价模型,能有效评定研究区的立地质量等级,在林业生产应用中具有现实意义。

关 键 词:资源清查  固定样地  逐步回归分析  生物量  立地质量

Forest Site Quality Evaluation Based on Biomass Data from Continuous Forest Inventories
JI Bi-yong,TAO Ji-xing,WANG Wen-wu.Forest Site Quality Evaluation Based on Biomass Data from Continuous Forest Inventories[J].Journal of Southwest Forestry College,2012(4):45-50.
Authors:JI Bi-yong  TAO Ji-xing  WANG Wen-wu
Institution:(Center for Forest Resource Monitoring of Zhejiang Province, Hangzhou Zhejiang 310020, China)
Abstract:Taking the non rock-based soil area from the inland hilly region in Zhejiang Province as study ob- ject, 998 permanent sample plots for Continuous Forest Inventory were used as modeling samples, the main site quality factors were screened out by the stepwise regression method by taking the annual biomass production per u- nit area as dependent variable, and integrated with direct assessment method. The quantitative site quality evalua- tion model was established based on the Quantitative Theory I ~ The site quality grade of each forest-site type was e- valuated and the forest land area of each quality grade in the study area was calculated. The results showed that the altitude, slope position, aspect, soil depth and humus depth were the 5 leading factors for forest site quality evalua- tion. Taking biomass as site quality evaluation index was of important biological significance. The site quality eval- uation model could be used to assess the site quality grade effectively, and it was of practical significance to be ap- plied to forestry production.
Keywords:resources inventory  permanent plot  stepwise regression analysis  biomass  site quality
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