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The Role of Observation Scales, Trait Correlations, and Competitive Regimes in Community Assembly Patterns
Matthias Rohr1, Wilfried Thuiller1, Loïc Chalmandrier2
1CNRS, LECA Université Grenoble Alpes, Université Savoie Mont Blanc Grenoble France.
Ecology and Evolution
|April 25, 2025
Summary
Community assembly research often overlooks how traits relate to environmental filtering versus competition. This study reveals how trait correlations and spatial scales affect inferring ecological assembly processes.
Area of Science:
- Ecology
- Community Ecology
- Theoretical Ecology
Background:
- Community assembly is often studied using the filtering framework, linking environmental filtering to niche theory and competition to coexistence.
- Empirical studies frequently detect environmental filtering but rarely competition, leading to criticisms of the framework's simplicity.
- Previous research has not adequately distinguished traits mediating environmental responses from those mediating competition, nor considered trait co-variation.
Purpose of the Study:
- To address the imbalance in detecting environmental filtering versus competition in community assembly studies.
- To investigate how trait patterns are influenced by environmental filtering, competition, trait correlations, and spatial scales.
- To identify conditions for distinguishing assembly processes based on trait patterns, trait relevance, and observation scales.
Main Methods:
- Utilized a theoretical simulation model to explore community assembly processes.
- Tested how trait patterns vary with different assembly scenarios, trait correlation structures, and spatial observation scales.
- Analyzed the distinct sensitivities of trait patterns from environmental filtering and competition to trait correlations and scales.
Main Results:
- Environmental filtering and competition produce trait patterns with different sensitivities to trait correlation structure and spatial scales.
- Trait patterns generated by environmental filtering and competition are not always distinct, especially when trait sets are not clearly differentiated.
- Spatial scale significantly influences the detectability of assembly processes, with smaller scales potentially obscuring competition effects.
Conclusions:
- The filtering framework's limitations stem from conceptual challenges in trait interpretation, the potential for similar trait patterns from different processes, and the impact of spatial scale.
- Distinguishing between environmental filtering and competition requires careful consideration of trait-environment relationships, trait-competition relationships, and their covariation.
- Future research should integrate trait-based approaches with spatial scale considerations to accurately infer community assembly mechanisms.
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