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Intermittency in processing explains the diversity and shape of functional grazing responses
1Institute for Coastal Research, Helmholtz-Zentrum Geesthacht, 21502, Geesthacht, Germany. kai.wirtz@hzg.de
This study introduces feeding intermittency, a concept from queuing theory, to explain consumer feeding responses in aquatic ecosystems. It reveals how prey patchiness and size influence feeding kinetics, refining ecological models.
Area of Science:
- Ecology
- Theoretical Ecology
- Aquatic Ecosystems
Background:
- Consumer feeding response functions are crucial for trophic interaction models but often lack mechanistic derivation.
- Existing models (Ivlev, Holling types I-III) have limitations in representing feeding dynamics.
- Queuing theory offers a framework to mechanistically derive consumer response functions.
Purpose of the Study:
- To apply queuing theory to model plankton feeding behavior and derive a novel grazing function.
- To investigate the influence of prey patchiness and prey size on feeding intermittency.
- To provide mechanistic explanations for different grazing models and refine size-based ecosystem models.
Main Methods:
- Applied queuing theory to model food item processing as two stages with variable synchronicity.
- Derived a novel grazing function incorporating a "shape" parameter to represent feeding intermittency.
- Evaluated hypotheses using empirical data for Acartia tonsa, rotifers, copepods, and ciliates.
Main Results:
- Feeding intermittency, influenced by prey patchiness (e.g., turbulence) and prey size ratio, determines grazing kinetics.
- The novel function explains variations in clearance rates of Acartia tonsa under different turbulence levels.
- Increasing food size enhances intermittency, affecting grazing responses, with potential prey density effects in ciliates.
Conclusions:
- Queuing theory provides a mechanistic basis for understanding feeding intermittency and its impact on grazing functions.
- The derived grazing function offers a more robust representation of consumer feeding responses.
- This approach can refine size-based ecosystem models in plankton ecology.
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