基于一类清查资料的森林资源生长预估

采用一类清查数据,利用立地分级方法构建平均树高、平均胸径和林分密度的生长模型,应用于森林资源调查中相关因子的更新。同时,根据森林蓄积量、生长量和消耗量与平均年龄、平均树高、平均胸径和林分密度等林分因子之间的关系,构建估测模型。通过辽宁省鞍山市森林资源年度动态监测的应用示范研究,结果表明:生长模型可用于更新二类调查数据,蓄积等预估模型可以有效反映森林资源的年度消长;本方法能够提高地区森林资源年度监测能力,并增强森林资源监督管理的针对性和时效性。 

Estimation of forest resource dynamics in Anshan City,Liaoning of northeasten China based on continuous forest inventory data

Based on continuous forest inventory data in respects of mean tree, sample tree and plot, growth models for mean height, mean DBH ( diameter at breast height) and stand density were established by site classification method. The growth models were used for the updates of related factors in forest resources survey. Meanwhile, prediction models were built based on the relationships between stock, growth and consumption at stand level and related factors of age, mean height, mean DBH, stand density, etc. Anshan City in Liaoning Province was selected as demonstration research area. And model testing results showed that archival data of forest resources can be updated by growth model, and the annual growth and consumption of forest resources can be efficiently known by prediction models. This study could improve the annual monitoring ability of regional forest resource, and strengthen the pertinence and efficiency in the supervision and management of forest resources.