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	Parameterization of temperature sensitivity of spring phenology and its application in explaining diverse phenological responses to temperature change
	Wang H. J.; Ge, Q. S.; Rutishauser, T.; Dai, Y. X.; Dai, J. H.
	2015
关键词	1st flowering dates climate-change plant phenology growing-season thermal time budburst trees europe china japan
英文摘要	Existing evidence of plant phenological change to temperature increase demonstrates that the phenological responsiveness is greater at warmer locations and in early-season plant species. Explanations of these findings are scarce and not settled. Some studies suggest considering phenology as one functional trait within a plant's life history strategy. In this study, we adapt an existing phenological model to derive a generalized sensitivity in space (SpaceSens) model for calculating temperature sensitivity of spring plant phenophases across species and locations. The SpaceSens model have three parameters, including the temperature at the onset date of phenophases (T-p), base temperature threshold (T-b) and the length of period (L) used to calculate the mean temperature when performing regression analysis between phenology and temperature. A case study on first leaf date of 20 plant species from eastern China shows that the change of T-p and T-b among different species accounts for interspecific difference in temperature sensitivity. Moreover, lower T-p at lower latitude is the main reason why spring phenological responsiveness is greater there. These results suggest that spring phenophases of more responsive, early-season plants (especially in low latitude) will probably continue to diverge from the other late-season plants with temperatures warming in the future.
出处	Scientific Reports
卷	5
收录类别	SCI
语种	英语
ISSN号	2045-2322
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/38489]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Wang H. J.,Ge, Q. S.,Rutishauser, T.,et al. Parameterization of temperature sensitivity of spring phenology and its application in explaining diverse phenological responses to temperature change. 2015.

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