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Published on: March 12, 2013
Invasion Dynamics in an Intraguild Predation System with Predator-Induced Defense
1Institute of Environmental Systems Research, School of Mathematics/Computer Science, Osnabrück University, Barbarastraße 12, 49076, Osnabrück, Germany. merlin.koehnke@uos.de.
Adaptive defense mechanisms in intraguild predation systems can promote predator coexistence. However, local adaptation may lead to transient global maladaptation, impacting invasion dynamics.
Area of Science:
- Ecology
- Theoretical Ecology
- Mathematical Biology
Background:
- Intraguild predation systems, where predators consume prey that also competes for resources, are common in food webs.
- Classical models (Holling type II) fail to predict predator coexistence in resource-rich environments.
- Previous models often used artificial bounding terms to achieve coexistence.
Purpose of the Study:
- To investigate how adaptive predator-induced and fitness-dependent defense mechanisms influence predator coexistence.
- To explore coexistence without relying on artificial bounding terms.
- To analyze the impact of adaptivity on invasion dynamics.
Main Methods:
- Incorporation of adaptive defense mechanisms into an intraguild predation model.
- Utilizing numerical bifurcation software to analyze parameter spaces for coexistence.
- Distinguishing between two adaptation parameters under varying environmental conditions.
- Examining the effect of adaptivity on dispersal and invasion waves in a 1D domain.
Main Results:
- Adaptive defense significantly expands parameter ranges that allow for predator coexistence.
- The reactivity-accuracy trade-off in adaptation is environment-dependent.
- Adaptivity's impact on dispersal alters the speed and shape of invasion waves.
- A system that is locally adaptive can exhibit transient global maladaptation.
Conclusions:
- Adaptive defense is a crucial factor for predator coexistence in intraguild systems.
- Environmental conditions dictate the nature of adaptive trade-offs.
- Understanding adaptivity's role in dispersal is key for predicting biological invasion patterns.
- Local adaptation does not guarantee global stability, especially in transient dynamics.
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