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DOI | 10.1016/j.tplants.2018.11.006 |
Experiments Are Necessary in Process-Based Tree Phenology Modelling | |
Hanninen, Heikki1; Kramer, Koen2; Tanino, Karen3; Zhang, Rui1; Wu, Jiasheng1; Fu, Yongshuo H.4 | |
发表日期 | 2019 |
ISSN | 1360-1385 |
EISSN | 1878-4372 |
卷号 | 24期号:3页码:199-209 |
英文摘要 | In boreal and temperate trees, air temperature is a major environmental factor regulating the timing of spring phenological events, such as vegetative bud burst, through underlying physiological processes. This has been established by experimental research, and mathematical process-based tree phenology models have been developed based on the results. The models have often been applied when assessing the effects of climate change. Currently, there is an increasing trend to develop process-based tree phenology models using only observational phenological records from natural conditions. We point out that this method runs a high risk of producing models that do not simulate the real physiological processes in the trees and discuss experimental designs facilitating the development of biologically realistic process-based models for tree spring phenology. |
WOS研究方向 | Plant Sciences |
来源期刊 | TRENDS IN PLANT SCIENCE
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/94596 |
作者单位 | 1.Zhejiang A&F Univ, State Key Lab Subtrop Silviculture, Hangzhou, Zhejiang, Peoples R China; 2.Wageningen Univ & Res, Wageningen Environm Res, Wageningen, Netherlands; 3.Univ Saskatchewan, Dept Plant Sci, Saskatoon, SK, Canada; 4.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China |
推荐引用方式 GB/T 7714 | Hanninen, Heikki,Kramer, Koen,Tanino, Karen,et al. Experiments Are Necessary in Process-Based Tree Phenology Modelling[J],2019,24(3):199-209. |
APA | Hanninen, Heikki,Kramer, Koen,Tanino, Karen,Zhang, Rui,Wu, Jiasheng,&Fu, Yongshuo H..(2019).Experiments Are Necessary in Process-Based Tree Phenology Modelling.TRENDS IN PLANT SCIENCE,24(3),199-209. |
MLA | Hanninen, Heikki,et al."Experiments Are Necessary in Process-Based Tree Phenology Modelling".TRENDS IN PLANT SCIENCE 24.3(2019):199-209. |
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