非采伐性的收获预测模型*

本文通过对全英国超短轮伐萌生林地上生物量的研究，建立了预估枝条生物量的通用模型。分别不同年龄的柳树和杨树无性系在不同地区抽取了19个数据系列。对各无性系分别1年生、2年生和4年生的柳树建立了模型，对1到4年生柳树和3年生杨树也建立了通用模型。从准确度和相关系数方面对这些模型进行了比较。胸径是预测枝条干重的最佳的独立变量。建立了一个积性无截距通用模型来预估柳树和杨树所有的无性系的生物量。通过对新从1到3年生柳树无性系检验发现该模型的准确度为92%。该模型的适用性尚待以后验证。

Non-Destructive Sampling for Yield Estimation.

A general model was sought to estimate the shoot biomass of short rotation coppice crops in the UK. Different aged shoots of willow and poplar clones were sampled from different sites to produce 19 data sets. Models were created for each clone, separately for 1-, 2- and 4-year old willow, and general models for 1 to 4 year willows, and 3 year old poplars. The models were compared with regard to accuracy and correlation coeffieient. The diameter at breast height was chosen as the best independent variable to estimate the shoot weight. A general multiplicative model without intercept was created for all the willows and poplars sampled. The model was evaluated and was found to have average accuracy of 92% when tested with new data from 1- and 3-year old willow clones. The model requires further validation.