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Updated: Jan 11, 2026
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
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Modeling postdisturbance empirical patterns in a forest ecosystem
Davide Zanchetta1, Amos Maritan1,2,3, Sandro Azaele2,3
1University of Padova, Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", Padova, Italy.
Physical Review. E
|November 18, 2025
Summary
Disturbances impact forest ecosystems. A non-neutral model, considering species interactions, better explains tropical rainforest community recovery dynamics than a neutral model.
Area of Science:
- Ecology
- Population Dynamics
- Ecosystem Resilience
Background:
- Forest ecosystems face disturbances impacting population dynamics.
- Understanding recovery mechanisms is crucial for ecosystem resilience.
Purpose of the Study:
- To investigate the impact of disturbances on tropical rainforest population dynamics.
- To compare neutral and non-neutral models in explaining ecosystem recovery.
Main Methods:
- Controlled experiment in a tropical rainforest.
- Modeling mean species abundance using consumer-resource models.
- Extending models to neutral and non-neutral multispecies frameworks.
Main Results:
- Both neutral and non-neutral models explained correlation functions and mean-variance relations.
- The non-neutral model demonstrated superior capture of community structure via an evenness indicator.
- Interspecific interactions were found to significantly influence ecosystem response to disturbances.
Conclusions:
- Species interactions are critical for forest ecosystem recovery post-disturbance.
- Non-neutral models provide deeper insights into tropical rainforest dynamics.
- This research enhances understanding of ecosystem resilience and adaptation.
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