Background
Wind is an important driving factor influencing forest structure, ecology, and the carbon cycle in temperate and tropical regions. Damage from typhoons poses a significant threat to eucalyptus production in coastal regions of southeast China. However, few strategies have been used and account for key traits impact on wind damage/resistance of eucalyptus. To identify key factors affecting eucalyptus wind resistance, 20 Eucalyptus camaldulensis genotypes were selected, and wind damage indices and traits were measured and evaluated using correlation analysis and principal component analysis.
Results
We identified a correlation between tree traits, wind damage indices, and the traits related to H, V, FP BT, FL, and FW. Five PCs from the above-mentioned traits were obtained and could represent the standing tree traits explained by PCA. PCs and tree-pulling variables were further used for typical correlation and path analyses. Canonical correlation analysis showed the top two canonical correlation coefficients were 0.9547 and 0.9012, respectively, while PC2 reflected that the growth traits were the main trait affecting pull tree variables. The PA-OV model and its modifications with PC functions and tree-pulling variables were introduced and developed for wind resistance estimation. The fitting effect of the two models and the observed data was good, with a P-value of 1.000, RMSEA of 0.000, and other goodness of fit indices over 0.9. Based on effects from model 2, PC4 had the greatest impact on tree-pulling variables. Therefore, our results implied that PC4, composed of holocellulose content, lignin, and fibre width, was the most important factor affecting standing tree stability under windy conditions.
Conclusion
This study provides insights into forest management and planning in coastal typhoon prone areas. Determining the effect of wind on trees can expand our understanding of the factors that contribute to wind damage, thereby improving management practices.