期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Linking individual-tree and whole-stand models for forest growth and yield prediction 被引量:2
1
作者 quang v cao 《Forestry Studies in China》 CAS 2014年第3期177-184,共8页
Background: Different types of growth and yield models provide essential information for making informed decisions on how to manage forests. Whole-stand models often provide well-behaved outputs at the stand level, b... Background: Different types of growth and yield models provide essential information for making informed decisions on how to manage forests. Whole-stand models often provide well-behaved outputs at the stand level, but lack information on stand structures. Detailed information from individual-tree models and size-class models typically suffers from accumulation of errors. The disaggregation method, in assuming that predictions from a whole-stand model are reliable, partitions these outputs to individual trees. On the other hand, the combination method seeks to improve stand-level predictions from both whole-stand and individual-tree models by combining them. Methods: Data from 100 plots randomly selected from the Southwicte Seed Source Study of Ioblolly pine (Pinus taedo L) were used to evaluate the unadjusted individual-tree model against the disaggregation and combination methods. Results: Compared to the whole-stand model, the combination method did not show improvements in predicting stand attributes in this study. The combination method also did not perform as well as the disaggregation method in tree-level predictions. The disaggregation method provided the best predictions of tree- and stand-level survival and growth. Conclusions: The disaggregation approach provides a link between individual-tree models and whole-stand models, and should be considered as a better alternative to the unadjusted tree model. 展开更多
关键词 DISAGGREGATION Combination method Loblollv pine Pinus taeda
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部