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Predator traits determine food-web architecture across ecosystems
Ulrich Brose1,2, Phillippe Archambault3, Andrew D Barnes4,5,6
1EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany. Ulrich.brose@idiv.de.
Nature Ecology & Evolution
|May 22, 2019
Summary
Predator-prey body-mass ratios reveal universal food web architecture. Species traits predict these ratios, crucial for ecosystem stability and functioning across diverse environments.
Area of Science:
- Ecology
- Food Web Dynamics
- Ecosystem Stability
Background:
- Natural ecosystems exhibit a universal food web architecture where predators are consistently larger than their prey.
- High predator-prey body-mass ratios are theorized to stabilize communities and maintain ecosystem functioning.
- Identifying these key interactions in complex food webs is challenging.
Purpose of the Study:
- To develop predator-trait models for predicting average predator-prey body-mass ratios.
- To analyze how species traits influence the body-size architecture of food webs.
- To understand the role of body-size scaling in ecosystem stability.
Main Methods:
- Utilized a comprehensive database of 290 food webs from freshwater, marine, and terrestrial ecosystems globally.
- Developed predator-trait models to predict body-mass ratios based on species characteristics.
- Analyzed the impact of species traits, metabolic types, and movement strategies on body-size scaling.
Main Results:
- Identified specific predator trait combinations, such as small vertebrates and large aquatic/aerial predators, associated with high body-mass ratios.
- Demonstrated that predator traits significantly influence the slope of predator-prey body-mass scaling.
- Showcased that incorporating metabolic and movement traits enhances the prediction accuracy of high body-mass ratio interactions.
Conclusions:
- Species traits are key determinants of body-size architecture in natural food webs.
- These trait-driven patterns in body-size scaling are fundamental to ecosystem stability and functioning.
- The findings offer a pathway for effective community-level management of complex ecosystems.
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