编号 030034304
推送时间 20220516
研究领域 森林经理
年份 2022
类型 期刊
语种 英语
标题 Nonlinear Mixed Effect Model Used in a Simulation of the Impact of Climate Change on Height Growth of?Cyclobalanopsis glauca
来源期刊 Forests
期 第343期
发表时间 20220316
关键词 RegCM; downscaling; climate sensitive tree species; nonlinear mixed effect model; height growth of tree; tree species diversity;
摘要 Localized climate is sensitive to terrain, underlying surface material, building distribution, green coverage and CO2?emissions. The Regional Climate Model (RegCM) was used to make a statistical detailed analysis of the climate change data in a specific study area to obtain fine-scale distribution of climatic elements data over time. The effects of climate change factors on height growth trends of a climate-sensitive tree species (Cyclobalanopsis glauca) were simulated based on historical climate base line data (1961–2010) and future climate change (2010–2100) predictions.?Cyclobalanopsis glauca?growth trends were simulated and analyzed by using a nonlinear mixed effect model (NLME). The results showed that under the RCP8.5 emissions scenario, the growth promotion effect on the height growth of?Cyclobalanopsis glauca?will be obvious. Under RCP4.5 and RCP2.6 emissions scenarios, although the inhibition intensity is not exactly the same, height growth will still be inhibited to a certain extent, which may lead to the gradual extinction of this species, affecting the composition of dominant tree species in the study area. The results indirectly reflect the impact of climate change on tree species diversity in the future.
服务人员 付贺龙
服务院士 唐守正
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