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Nonlinear Mixed Effect Model Used in a Simulation of the Impact of Climate Change on Height Growth of Cyclobalanopsis glauca

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成果类型:
期刊论文
作者:
Duan, Huiliang;Zhang, Gui
通讯作者:
Zhang, G
作者机构:
[Duan, Huiliang] Cent South Univ Forestry & Technol, Coll Forestry, Changsha 412000, Peoples R China.
[Zhang, Gui] Cent South Univ Forestry & Technol, Coll Sci, Changsha 412000, Peoples R China.
通讯机构:
[Zhang, G ] C
Cent South Univ Forestry & Technol, Coll Sci, Changsha 412000, Peoples R China.
语种:
英文
关键词:
climate sensitive tree species;downscaling;height growth of tree;nonlinear mixed effect model;RegCM;tree species diversity
期刊:
Forests
ISSN:
1999-4907
年:
2022
卷:
13
期:
3
基金类别:
Funding: This research received funding from Science and Technology Innovation Platform and Talent Plan Project of Hunan Province under Grant 2017TP1022.
机构署名:
本校为第一且通讯机构
院系归属:
林学院
理学院
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 c...

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