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A temperature-precipitation based leafing model and its application in Northeast China
Rong-Ping Li1, Guang-Sheng Zhou
1State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Plos One
|April 18, 2012
Summary
A new temperature-precipitation leafing model (TP) accurately simulates plant leafing in arid regions, outperforming temperature-only models. This model is crucial for understanding climate change impacts on temperate plant primary production.
Area of Science:
- Ecology
- Plant Science
- Climate Change Research
Background:
- Plant phenology, particularly leafing, is vital for assessing climate change effects on temperate plant primary production.
- Existing temperature-only leafing models fail to accurately simulate plant leafing in arid and semi-arid environments.
Purpose of the Study:
- To evaluate the efficacy of current temperature-based leafing models in arid and semi-arid regions.
- To develop and validate a novel temperature-precipitation based leafing model (TP) for improved simulation accuracy.
Main Methods:
- Utilized long-term ground leafing observation data (12-27 years) and meteorological data from Northeast China.
- Developed a temperature-precipitation based leafing model (TP) and compared its performance against existing models.
- Validated tree leafing models using independent datasets and calculated root mean square error (RMSE) and coefficient of determination (R²).
Main Results:
- The TP model with a fixed starting date (TPn) demonstrated superior simulation accuracy (RMSE of 4.21 days) compared to parameterized starting dates (TPm).
- TP models achieved R² > 0.60 in 75% of tree leafing estimates, outperforming the spring warming (SW) model.
- TPn significantly improved herb leafing simulation (RMSE 5.03 days, R² 0.68) compared to other models.
Conclusions:
- The TPn model is a universal and more suitable tool for simulating leafing in both trees and herbs in arid/semi-arid temperate regions.
- Precipitation, in addition to temperature, is a critical factor influencing herb leafing dynamics in these environments.
- The developed TP model enhances our ability to predict climate change impacts on plant phenology and primary production.
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