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Published on: July 26, 2016
Signs of stabilisation and stable coexistence
Maarten J E Broekman1, Helene C Muller-Landau2, Marco D Visser3
1Department of Plant Ecology and Physiology, Institute for Water and Wetland Research, Radboud University, Nijmegen, The Netherlands.
Empirical evidence for negative density, frequency, and plant-soil feedback aids ecological stabilization but doesn't guarantee stable coexistence. Stronger tests for coexistence require invasibility experiments or model parameterization.
Area of Science:
- Ecology
- Population Biology
- Theoretical Ecology
Background:
- Empirical studies often quantify negative density dependence, negative frequency dependence, or negative plant-soil feedback.
- The direct links between these empirical findings and ecological theory for stable coexistence are often unclear.
Purpose of the Study:
- To connect empirical measures of density dependence, frequency dependence, and plant-soil feedback to theoretical conditions for stabilization and stable coexistence.
- To evaluate the sufficiency of common empirical tests for predicting stable coexistence in ecological communities.
Main Methods:
- Relating empirical results to classical competition models and theoretical conditions for stabilization.
- Analyzing whether common empirical tests provide necessary or sufficient conditions for stable coexistence in two- and multi-species systems.
- Discussing invasibility experiments and model parameterization as approaches for stronger coexistence tests.
Main Results:
- Most tests for negative density dependence, negative frequency dependence, and negative plant-soil feedback are sufficient for ecological stabilization in two-species interactions.
- These empirical tests are neither necessary nor sufficient for stable coexistence of two species.
- Inferences are more limited for multi-species communities and single-life-stage/vital rate measurements.
Conclusions:
- While empirical measures indicate stabilization, they do not reliably predict stable coexistence.
- Model parameterization offers a robust approach to link empirical data with coexistence mechanisms.
- Invasibility experiments and model parameterization provide stronger frameworks for testing stable coexistence.
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