Low temperature and short daylength interact to affect the leaf senescence of two temperate tree species

Author:

Wang Huanjiong12ORCID,Gao Chengxi123,Ge Quansheng12

Affiliation:

1. Key Laboratory of Land Surface Pattern and Simulation , Institute of Geographic Sciences and Natural Resources Research, . 11A, Datun Road, Chaoyang District, Beijing 100101, China

2. Chinese Academy of Sciences , Institute of Geographic Sciences and Natural Resources Research, . 11A, Datun Road, Chaoyang District, Beijing 100101, China

3. University of Chinese Academy of Sciences , 19A, Yuquan Road, Shijingshan District, Beijing 100049 , China

Abstract

Abstract Temperature and photoperiod are two major environmental cues shaping the leaf senescence of temperate tree species. However, how the control of leaf senescence is split between photoperiod and temperature is unknown for many ecologically important species. Here, we conducted a growth chamber experiment to test the effects of temperature (6, 9, 18 and 21°C) and photoperiod (8 and 16 h daylength) on leaf senescence of two temperate tree species (Quercus mongolica Fisch. and Larix principis-rupprechtii Mayr.) distributed in montane forest of China. The results showed that low temperature (LT) alone could induce leaf senescence of both species under long daylength (LD) conditions, but the leaf senescence of L. principis-rupprechtii was more sensitive to the decrease in temperature than that of Q. mongolica under the LD condition. Short daylength (SD) alone could only induce the leaf senescence of L. principis-rupprechtii, suggesting that the photoperiod sensitivity varies between species. SD could accelerate the LT-induced senescence, but the effect of SD reduced with the decrease in temperature. Based on these findings, we developed a new autumn phenology model by incorporating interspecific differences in the photoperiod sensitivity of leaf senescence. Compared with the three existing process-based autumn phenology models, the new model was more robust in simulating the experimental data. When employing these models to available long-term phenological data, our new model also performed best in reproducing the observed leaf senescence date of two closely related species (Quercus robur L. and Larix decidua Mill.). These results enhance our understanding of how LT and SD control leaf senescence. The prediction of the climate change impacts on forest carbon uptake could be improved by incorporating this new autumn phenological model into the terrestrial biosphere models.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Youth Innovation Promotion Association

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Physiology

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