Modeling Tree-Tree-Ring Growth Responses to Climatic Variables Using Artificial Neural Networks

摘要

Modeling the nonlinear and complex relationships between climate and tree-ring growth is of significance in dendroclimatic , but difficult to implement using traditional linear regression approaches. To overcome this difficulty, the technique of Artificial Neural Network (ANN) was employed in this study to develop the growth response models using the climate/growth database for Douglas- fir (pseudotsuga menziesi var. menziesii[Mirb.] Franco) on southern Vancouver Island, Canada.