Abstract: Plant phenology is often used as an important indicator for climate change. To make clear the phenological changes in response to changes in the natural environment contributes to understand the laws of natural seasons, which serves agricultural production and scientific research, especially global change. The dataset contains the artificial phenological observation records of 17 dominant species from 2009 to 2018, which was divided into a woody plant subset and an herbaceous plant subset. The woody plant subset mainly records phenological information such as leaf bud breaking phase, leaf unfolding phase, first bloom phase, full flowering phase, fruit or seed ripening phase, leaf turning to autumn color phase and leaf falling phase. The herbaceous plant subset records phenological information such as germination or turning green phase, flowering phase, fruit or seed ripening phase, seed dispersal phase and autumn wilting phase. This dataset provides data support for studies on climate change, carbon cycle and other applications, which can be used to analyze the response and feedback mechanism of plants to environmental changes, combined with environmental observation data such as temperature and precipitation.
Keywords: Shennongjia station; plant phenology; artificial observation; climate change; environmental change