Unveiling the Hidden Feast: A Model to Translate Molecular Detection Into Predation Rate-Application Example on...

Area of Science:

• Ecology
• Molecular Biology
• Agroecology

Background:

• Predation significantly shapes ecological communities, but quantifying predator kill rates is challenging due to limited direct observation.
• Molecular gut content analysis is a common method to identify prey in predator guts, but it doesn't directly estimate predation rates.

Purpose of the Study:

• To develop and validate a novel mechanistic model integrating predation and digestion processes for estimating daily predation rates.
• To introduce a new community-scale biocontrol indicator based on estimated predation rates.
• To assess the model's performance and applicability in agroecological research.

Main Methods:

• Developed a mechanistic model combining field data on prey detection and laboratory data on molecular signal decay in predator guts.
• Integrated molecular gut content analysis with a novel mechanistic representation of predation and digestion.
• Applied the model to estimate predation rates for 25 carabid beetle species and 5 prey types in winter wheat fields.

Main Results:

• The model successfully estimates digestion curve parameters (slope and intercept) and predation rates for predator-prey pairs.
• Estimated predation rates for carabid beetles in agricultural fields, providing insights into their ecological roles.
• Introduced a novel community-scale biocontrol indicator derived from predation rate estimates.

Conclusions:

• The developed model offers a robust method for estimating predation rates, overcoming limitations of direct observation.
• The new biocontrol indicator has potential for advancing agroecological research and pest management strategies.
• The model demonstrates advantages over existing predation models and is applicable under specific conditions.