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Updated: Jun 5, 2026

Microbiota of Attine Ants' Gardens: Visualizing a Microbial Landscape by Scanning Electron Microscopy

Microbiota of Attine Ants' Gardens: Visualizing a Microbial Landscape by Scanning Electron Microscopy

Published on: October 4, 2024

Macroecological pluralism.

Marco Túlio Pacheco Coelho¹, José Alexandre Felizola Diniz-Filho²

¹Department of Environmental Sciences, University of Basel, Basel, Switzerland. marcotpcoelho@gmail.com.

Npj Biodiversity

|June 3, 2026

Summary

This summary is machine-generated.

Macroecology uses theory-based and data-based models as complementary tools, not rivals. This integrated approach enhances the field's ability to explain complex ecological patterns and make predictions.

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Area of Science:

Macroecology
Ecological modeling
Theoretical ecology

Background:

Macroecology integrates ecological principles and data analysis.
Two main approaches exist: theory-based and model-based reasoning.
These approaches have often been viewed as distinct or competing.

Purpose of the Study:

To propose a unified framework for theory-based and model-based reasoning in macroecology.
To highlight the synergistic relationship between these two modeling approaches.
To emphasize how this pluralism advances ecological understanding and prediction.

Main Methods:

Conceptual analysis of macroecological research traditions.
Argument for a continuum of formalization in ecological modeling.
Examination of the interplay between theory and data in model development.

Main Results:

Theory-based and model-based reasoning are not mutually exclusive but form a continuum.
This interaction allows theories and models to inform each other, driving innovation.
Pluralism in macroecological approaches strengthens the field's explanatory and predictive power.

Conclusions:

Macroecology benefits from integrating theory-driven and data-driven modeling.
The flexible exchange between theoretical and empirical models fosters cumulative knowledge.
This unified perspective is crucial for addressing complex ecological challenges.