天然林区小班森林资源数据的更新模型

以吉林省汪清林业局为例，根据１９９７年森林经理调查的８４８块固定样地数据，与全林整体模型方法相结合，建立了适合于天然林区林业局（场）无人为干预小班森林资源数据更新的林分级生长模型组。该组模型包括林分密度指数，平均高，断面积，形高，郁闭度等林分测算因子的生长或变化模型。

UPDATE MODELS OF FOREST RESOURCE DATA FOR SUBCOMPARTMENTS IN NATURAL FOREST

In order to update the forest resource data of subcompartment in forest bureau and forest farm in natural forest region without human disturbance, combined with integrated stand model, stand\|level growth model group is developed based on 848 permanent plots of forest management inventory in 1997, taking Wangqing Forest Bureau in Jilin province as an example. The model group is made of many growth or change models used in stand measurement and calculating factors, such as stand density index, mean height, basal area, form\|height, canopy density. By composing tree species of the subcompartment, taking site class index, stand density index, and prediction interval as independent variables for updating the data of natural growth subcompartment, the model group is more suitable for updating the data in the natural mixed\|species and uneven\|aged subcompartment. Given the stand factors of subcompartment, such as mean height and mean diameter of stand composed tree species, age, number of stems per hectare, canopy density, volume of open grown tree, the forest resource data of subcompartment without human disturbance can be updated completely and predicted continually by using the proposed model group.