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Progress in plant phenology modeling under global climate change

Science China Earth Sciences 2020年第9期63卷 1237-1247页

作者： Yongshuo FU Xinxi LI Xuancheng ZHOU Xiaojun GENG Yahui GUO Yaru ZHANG College of Water Sciences Beijing Normal UniversityBeijing 100875China

Plant phenology is the study of the timing of recurrent biological events and the causes of their timing with regard to biotic and abiotic *** phenology affects the structure and function of terrestrial ecosystems and determines vegetation feedback to the climate system by altering the carbon,water and energy fluxes between the vegetation and near-surface ***,an accurate simulation of plant phenology is essential to improve our understanding of the response of ecosystems to climate change and the carbon,water and energy balance of terrestrial *** studies have developed rapidly under global change conditions,while the research of phenology modeling is largely *** phenology modeling has become the primary limiting factor for the accurate simulation of terrestrial carbon and water *** the mechanism of phenological response to climate change and building process-based plant phenology models are thus important frontier *** this review,we first summarized the drivers of plant phenology and overviewed the development of plant phenology ***,we addressed the challenges in the development of plant phenology models and highlighted that coupling machine learning and Bayesian calibration into process-based models could be a potential approach to improve the accuracy of phenology simulation and prediction under future global change conditions.

关键词： Global change Plant phenology Phenology modeling Machine learning ecophysiological experiment

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