Modeling leaf senescence of deciduous tree species in Europe

© 2020 John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 26(2020), 7 vom: 13. Juli, Seite 4104-4118
1. Verfasser: Liu, Qiang (VerfasserIn)
Weitere Verfasser: Piao, Shilong, Campioli, Matteo, Gao, Mengdi, Fu, Yongshuo H, Wang, Kai, He, Yue, Li, Xiangyi, Janssens, Ivan A
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2020
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article carryover effect of leaf unfolding climate change cooling degree days leaf senescence model model evaluation photoperiod
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520 |a Autumnal leaf senescence signals the end of photosynthetic activities in temperate deciduous trees and consequently exerts a strong control on various ecological processes. Predicting leaf senescence dates (LSD) with high accuracy is thus a prerequisite for better understanding the climate-ecosystem interactions. However, modeling LSD at large spatial and temporal scales is challenging. In this study, first, we used 19972 site-year records (848 sites and four deciduous tree species) from the PAN European Phenology network to calibrate and evaluate six leaf senescence models during the period 1980-2013. Second, we extended the spatial analysis by repeating the procedure across Europe using satellite-derived end of growing season and a forest map. Overall, we found that models that considered photoperiod and temperature interactions outperformed models using simple temperature or photoperiod thresholds for Betula pendula, Fagus sylvatica and Quercus robur. On the contrary, no model displayed reasonable predictions for Aesculus hippocastanum. This inter-model comparison indicates that, contrary to expectation, photoperiod does not significantly modulate the accumulation of cooling degree days (CDD). On the other hand, considering the carryover effect of leaf unfolding date could promote the models' predictability. The CDD models generally matched the observed LSD at species level and its interannual variation, but were limited in explaining the inter-site variations, indicating that other environmental cues need to be considered in future model development. The discrepancies remaining between model simulations and observations highlight the need of manipulation studies to elucidate the mechanisms behind the leaf senescence process and to make current models more realistic 
650 4 |a Journal Article 
650 4 |a carryover effect of leaf unfolding 
650 4 |a climate change 
650 4 |a cooling degree days 
650 4 |a leaf senescence model 
650 4 |a model evaluation 
650 4 |a photoperiod 
700 1 |a Piao, Shilong  |e verfasserin  |4 aut 
700 1 |a Campioli, Matteo  |e verfasserin  |4 aut 
700 1 |a Gao, Mengdi  |e verfasserin  |4 aut 
700 1 |a Fu, Yongshuo H  |e verfasserin  |4 aut 
700 1 |a Wang, Kai  |e verfasserin  |4 aut 
700 1 |a He, Yue  |e verfasserin  |4 aut 
700 1 |a Li, Xiangyi  |e verfasserin  |4 aut 
700 1 |a Janssens, Ivan A  |e verfasserin  |4 aut 
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773 1 8 |g volume:26  |g year:2020  |g number:7  |g day:13  |g month:07  |g pages:4104-4118 
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