Using first leaf unfolding data of Salix matsudana, Populus simonii, Ulmus pumila, and Prunus armeniaca, and daily mean temperature data during the 19812005 period at 136 stations in northern China, we fitted unified forcing and chilling phenology models and selected optimum models for each species at each station. Then, we examined performances of each optimum local species-specific model in predicting leaf unfolding dates at all external stations within the corresponding climate region and selected 16 local species-specific models with maximum effective predictions as the regional unified models in different climate regions. Furthermore, we validated the regional unified models using leaf unfolding and daily mean temperature data beyond t...
[Methods See the Materials and methods section in the original paper.[Usage Notes] Microsoft Excel a...
This dataset is the data used to create figures in paper of Global Change Biology entitled "Winter w...
In order to understand past plant phenological responses to climate change in China (1963–2009), we ...
Using normalized difference vegetation index data, we fitted unified forcing and chilling phenology ...
Recent shifts in phenology reflect the biological response to current climate change. Aiming to enha...
We used Ulmus pumila leaf unfolding and leaf fall data collected at 46 stations during the 1986-2005...
Autumn phenology can regulate climate-biosphere interactions and net primary production within the e...
Using Ulmus pumila (Siberian Elm) leaf unfolding and leaf fall phenological data from 46 stations in...
Leaf phenology has been shown to be one of the most important indicators of the effects of climate c...
To reveal the ecological mechanism of spatial patterns of plant phenology and spatial sensitivity of...
Constraints of temperature on spring plant phenology are closely related to plant growth, vegetation...
Plant phenology models, especially leafing models, play critical roles in evaluating the impact of c...
Winter temperature-related chilling and spring temperature-related forcing are two major environment...
National Natural Science Foundation of China 41030101 40871033;Strategic Leader in Science and Tech...
Climate warming has substantially advanced the timing of spring leaf-out of woody species at middle ...
[Methods See the Materials and methods section in the original paper.[Usage Notes] Microsoft Excel a...
This dataset is the data used to create figures in paper of Global Change Biology entitled "Winter w...
In order to understand past plant phenological responses to climate change in China (1963–2009), we ...
Using normalized difference vegetation index data, we fitted unified forcing and chilling phenology ...
Recent shifts in phenology reflect the biological response to current climate change. Aiming to enha...
We used Ulmus pumila leaf unfolding and leaf fall data collected at 46 stations during the 1986-2005...
Autumn phenology can regulate climate-biosphere interactions and net primary production within the e...
Using Ulmus pumila (Siberian Elm) leaf unfolding and leaf fall phenological data from 46 stations in...
Leaf phenology has been shown to be one of the most important indicators of the effects of climate c...
To reveal the ecological mechanism of spatial patterns of plant phenology and spatial sensitivity of...
Constraints of temperature on spring plant phenology are closely related to plant growth, vegetation...
Plant phenology models, especially leafing models, play critical roles in evaluating the impact of c...
Winter temperature-related chilling and spring temperature-related forcing are two major environment...
National Natural Science Foundation of China 41030101 40871033;Strategic Leader in Science and Tech...
Climate warming has substantially advanced the timing of spring leaf-out of woody species at middle ...
[Methods See the Materials and methods section in the original paper.[Usage Notes] Microsoft Excel a...
This dataset is the data used to create figures in paper of Global Change Biology entitled "Winter w...
In order to understand past plant phenological responses to climate change in China (1963–2009), we ...