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Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
Published on: August 29, 2019
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Willow phenological modelling at different altitudes in central Italy
Fabio Orlandi1, Luigia Ruga2, Marco Fornaciari2
1Department of Civil and Environmental Engineering, University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy. fabio.orlandi@unipg.it.
Environmental Monitoring and Assessment
|October 31, 2020
Summary
Climate change impacts on plant phenology were estimated using a Phenological Modelling Platform. The study identified best-fit models for willow species, aiding real-time monitoring and development prediction.
Area of Science:
- Ecology
- Plant Science
- Climate Change Research
Background:
- Phenological parameters are sensitive indicators of climate change.
- Understanding plant phenology is crucial for ecological forecasting and agricultural planning.
- Historical data and modeling are essential for assessing climate change impacts on vegetation.
Purpose of the Study:
- To estimate climate change impacts on phenological parameters of Salix species.
- To compare current phenological data with historical records.
- To identify and validate phenological models for real-time monitoring and prediction.
Main Methods:
- Application of a decision support system (DSS) with a Phenological Modelling Platform.
- Utilized biological observations of Salix acutifolia and Salix smithiana from three Central Italian gardens at varying altitudes.
- Identified phenological models for key vegetative phases (BBCH11, BBCH91, BBCH94, BBCH95) and male flowering (BBCH65).
Main Results:
- The sigmoid model demonstrated high performance in simulating early spring vegetative phases (BBCH11, BBCH91).
- Salix acutifolia's phenological development showed a stronger correlation with temperature compared to Salix smithiana.
- Differences in phenotypic plasticity may explain variations in temperature response between the two willow species.
Conclusions:
- Phenological models are effective tools for real-time monitoring and predicting plant development.
- Salix acutifolia exhibits greater sensitivity to temperature fluctuations during spring growth phases.
- Climate change adaptation strategies may need to consider species-specific responses and phenotypic plasticity.
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