文献类型：期刊文献

英文题名：Climate-sensitive diameter distribution models of larch plantations in north and northeast China

作者：Guo, Hong[1] Lei, Xiangdong[1] You, Lei[2] Zeng, Weisheng[3] Lang, Pumei[1] Lei, Yuancai[1]

第一作者：国红

通信作者：Lei, XD[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Key Lab Forest Management & Growth Modelling, Natl Forestry & Grassland Adm, Beijing 100091, Peoples R China;[2]Xinyang Normal Univ, Sch Math & Stat, Xinyang 464000, Peoples R China;[3]Natl Forestry & Grassland Adm, Acad Forest Inventory & Planning, Beijing 100714, Peoples R China

年份：2022

卷号：506

外文期刊名：FOREST ECOLOGY AND MANAGEMENT

收录：;EI(收录号：20215111371823);Scopus(收录号：2-s2.0-85121447112);WOS:【SCI-EXPANDED(收录号:WOS:000745213500003)】；

基金：This research was supported by the National Natural Science Foundation of China (Grant No. 31270679) .

语种：英文

外文关键词：Weibull distribution model; Percentile-based parameter recovery method; Seemingly unrelated regression; Climate change

摘要：Tree diameter distribution models are important tools for forest management decision making. Climate change will affect tree growth and thus diameter distribution. However, there is lack of diameter distribution models describing the effects of climate. The paper developed a climate-sensitive diameter distribution model based on 193 sample plots of larch plantations in north and northeast China. Weibull distribution model was modified by a compatible simultaneous system and the percentile-based parameter recovery method with the inclusion of climate variables. The results showed that showed BIO10 (mean temperature of warmest quarter) and BIO14 (precipitation of driest month) are key climatic factors which shape the diameter distribution of Larch plantations. Compared with parameter estimation models without climate variables, the adjusted R-2 was improved (5.03% for beta, and 3.32 % for gamma), RMSE (73.12% for beta, and 2.89 % for gamma)and TRE (92.16% for beta, and 5.57% for gamma) decreased. The models with climate factors are significantly different from that without climate factors by F test. The models with climate factors are improved and could be applied for diameter distribution projection under future climate change.