文献类型：期刊文献

英文题名：A quantile regression approach to model stand survival in Chinese fir plantations

作者：Chen, Hanyue[1,2] Cao, Quang V.[3] Jiang, Yihang[1] Zhang, Jianguo[1] Zhang, Xiongqing[1,2]

第一作者：Chen, Hanyue

通信作者：Zhang, XQ[1];Zhang, XQ[2]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat, Natl Forestry & Grassland Adm, Beijing 100091, Peoples R China;[2]Nanjing Forestry Univ, Collaborat Innovat Ctr Sustainable Forestry Southe, Nanjing 210037, Peoples R China;[3]Louisiana State Univ, Sch Renewable Nat Resources, Agr Ctr, Baton Rouge, LA 70803 USA

年份：0

外文期刊名：CANADIAN JOURNAL OF FOREST RESEARCH

收录：;EI(收录号：20231113697691);Scopus(收录号：2-s2.0-85149584042);WOS:【SCI-EXPANDED(收录号:WOS:000935605700001)】；

基金：The authors appreciate the support of the National Natural Science Foundation of China (No. 31670634) , and the National Institute of Food and Agriculture, US Department of Agriculture, McIntire-Stennis project LAB94379. They would also like to thank Dr. Aiguo Duan for the field work.

语种：英文

外文关键词：Chinese fir; stand survival; quantile regression; three-fold cross-validation; self-thinning

摘要：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.