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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Extinction threshold for spatial forest dynamics with height structure.

Josep L Garcia-Domingo1, Joan Saldaña

  • 1Dept. d'Economia i Empresa, Universitat de Vic, E-08500 Vic, Spain.

Journal of Theoretical Biology
|February 15, 2011
PubMed
Summary
This summary is machine-generated.

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This study introduces a spatial forest dynamics model, enhancing the basic reproduction number (R(0)) calculation by incorporating spatial arrangement. The model improves predictions of forest survival and extinction transitions.

Area of Science:

  • Ecology
  • Mathematical Modeling
  • Forest Science

Background:

  • Spatial dynamics are crucial for understanding forest ecosystems.
  • Previous models often used mean-field approaches, neglecting spatial arrangements.

Purpose of the Study:

  • To develop a pair-approximation model for spatial forest dynamics.
  • To refine the calculation of the basic reproduction number (R(0)) by including spatial information.
  • To analyze forest survival-extinction transitions and spatial correlations.

Main Methods:

  • A pair-approximation model on a regular lattice with three states (empty, immature, mature).
  • Incorporation of nonlinearities in light interference, gap expansion, and recruitment.
  • Analysis of the survival-extinction transition and spatial correlations near the critical point.

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  • Comparison with a cellular automaton model.
  • Main Results:

    • An expression for R(0) that accounts for spatial arrangement of individuals near extinction.
    • Detailed analysis of the forest survival-extinction transition.
    • Characterization of spatial correlations among different tree states and gaps.

    Conclusions:

    • The pair-approximation model provides a more spatially explicit understanding of forest dynamics.
    • This approach improves the prediction of critical transitions in forest ecosystems.
    • The model's predictions align with cellular automaton simulations, validating its utility.