Parameterization of temperature sensitivity of spring phenology and its application in explaining diverse phenological responses to temperature change.
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 (Tp), base temperature threshold (Tb) 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 Tp and Tb among different species accounts for interspecific difference in temperature sensitivity. Moreover, lower Tp 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.
1] Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences. Beijing, China [2] University of Chinese Academy of Sciences, Beijing, China.
Huanjiong
H
Wang
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences. Beijing, China.
Quansheng
Q
Ge
Oeschger Centre for Climate Change Research (OCCR) and Institute of Geography, University of Bern, Bern, Switzerland.
This
T
Rutishauser
Department of Physics, New York University, New York, NY 10012, USA.
Yuxiao
Y
Dai
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences. Beijing, China.
Junhu
J
Dai
D057231:Climate Change; D017753:Ecosystem; D004777:Environment; D010944:Plants; D012621:Seasons; D013696:Temperature