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Key message <p>PDG-Arena, a new individual- and process-based ecophysiological model, was developed to simulate the functioning of mixed-species forests. It was evaluated using annual growth data on beech-fir stands of the French Prealps.</p> Context <p>In the context of the ongoing climate and biodiversity crises, mixed forest stands are increasingly considered as a sustainable management alternative to monospecific and even-aged stands.</p> Aims <p>We developed a new individual- and process-based forest growth model, PDG-Arena, to simulate mixed forest growth and functioning, and test ecophysiological interactions among trees in mixed stands.</p> Methods <p>The model builds upon the validated ecophysiological stand-scale model CASTANEA and integrates tree competition for light and water. We evaluated the performance of PDG-Arena by comparing the simulated growth with annual radial growth data from 37 common beech and silver fir monospecific and mixed plots in the French Prealps.</p> Results <p>PDG-Arena performed slightly better than CASTANEA when simulating even-age and monospecific forests (<i>r</i><sup>2</sup> of 32.1 versus 29.5%). When using structure-diverse and species-diverse inventories, PDG-Arena performed better than CASTANEA in pure beech (38.3 versus 22.9%) and mixed stands (40.5 versus 36.3%), but not in pure fir stands (39.8 versus 42.0%). The new model also showed a significant positive effect of species mixing on gross primary production (+ 5.5%), canopy absorbance (+ 11.1%), and transpiration (+ 15.8%) in the tested stands.</p> Conclusions <p>Our results show that tree-level process-based models such as PDG-Arena, formally simulating interspecific interactions, can serve as a valuable tool to understand and simulate the carbon, radiative, and water dynamics of mixed stands.</p>

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PDG-Arena: an ecophysiological model for characterizing tree-tree interactions in heterogeneous and mixed stands

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月25日

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  • Camille Rouet,
  • Hendrik Davi,
  • Arsène Druel,
  • Bruno Fady,
  • Xavier Morin

摘要

Key message

PDG-Arena, a new individual- and process-based ecophysiological model, was developed to simulate the functioning of mixed-species forests. It was evaluated using annual growth data on beech-fir stands of the French Prealps.

Context

In the context of the ongoing climate and biodiversity crises, mixed forest stands are increasingly considered as a sustainable management alternative to monospecific and even-aged stands.

Aims

We developed a new individual- and process-based forest growth model, PDG-Arena, to simulate mixed forest growth and functioning, and test ecophysiological interactions among trees in mixed stands.

Methods

The model builds upon the validated ecophysiological stand-scale model CASTANEA and integrates tree competition for light and water. We evaluated the performance of PDG-Arena by comparing the simulated growth with annual radial growth data from 37 common beech and silver fir monospecific and mixed plots in the French Prealps.

Results

PDG-Arena performed slightly better than CASTANEA when simulating even-age and monospecific forests (r2 of 32.1 versus 29.5%). When using structure-diverse and species-diverse inventories, PDG-Arena performed better than CASTANEA in pure beech (38.3 versus 22.9%) and mixed stands (40.5 versus 36.3%), but not in pure fir stands (39.8 versus 42.0%). The new model also showed a significant positive effect of species mixing on gross primary production (+ 5.5%), canopy absorbance (+ 11.1%), and transpiration (+ 15.8%) in the tested stands.

Conclusions

Our results show that tree-level process-based models such as PDG-Arena, formally simulating interspecific interactions, can serve as a valuable tool to understand and simulate the carbon, radiative, and water dynamics of mixed stands.