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Daily Temperature-Based Temporal and Spatial Modeling of Tree Phenology

  • Xiaoqiu ChenEmail author
Chapter

Abstract

Using Ulmus pumila leaf unfolding and leaf fall data at 46 stations during the 1986–2005 period in China’s temperate zone, daily temperature-based temporal and spatial phenology models were constructed. The daily temperature-based temporal phenology model provides a more precise and rational tool than the monthly or multi-monthly mean temperature-based phenology model in detecting responses of tree phenology to temperature. For the entire China’s temperate zone, a 1 °C increase in spring and autumn daily temperatures during the optimum length periods may induce an advancement of 2.8 days in the beginning date and a delay of 2.1 days in the end date of the Ulmus pumila growing season, respectively. Meanwhile, the daily temperature-based spatial phenology model provides a more robust tool than the geo-location based spatial phenology model in simulating and predicting spatial patterns of tree phenology. Regarding 20-year mean growing season modeling, a spatial shift in mean spring and autumn daily temperatures by 1 °C may cause a spatial shift in mean beginning and end dates of the Ulmus pumila growing season by −3.1 and 2.6 days, respectively.

Keywords

Tree Phenology Ulmus Pumila Optimum LP Spatial Shift Entire China 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2013

Authors and Affiliations

  1. 1.College of Urban and Environmental SciencesPeking UniversityBeijingChina

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