A quantile regression approach to model stand survival in Chinese fir plantations
A quantile regression approach to model stand survival in Chinese fir plantations
The development of stand survival models can provide an important basis for the sustainable management of forest re-sources.In a new approach developed in this study,parameters of four survival quantile regression models were predicted from a quantile associated with a current stand density.The curves from these quantile regression models were then used to project future stand density for that stand.A three-fold cross-validation revealed that the quantile regression approach outper-formed the least squares method based on three evaluation statistics,especially for longer projection lengths.These results were consistent for all four survival models evaluated.The best survival model is Clutter-Jones model,without constraints,but its ln(N)-ln(Dq)trajectories(N = stand density and Dq = quadratic mean diameter)from the quantile regression showed the linear self-thinning trend.
Hanyue Chen;Quang V.Cao;Yihang Jiang;Jianguo Zhang;Xiongqing Zhang;
Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration,Research Institute of Forestry,Chinese Academy of Forestry,Beijing 100091,China##Collaborative Innovation Center of Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,P.R.China;School of Renewable Natural Resources,Louisiana State University Agricultural Center,Baton Rouge,LA 70803,USA;Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration,Research Institute of Forestry,Chinese Academy of Forestry,Beijing 100091,China;Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration,Research Institute of Forestry,Chinese Academy of Forestry,Beijing 100091,China;;
Chinese fir stand survival quantile regression three-fold cross-validation self-thinning
1963-1981 / 19
评论