Unveiling the Hidden Feast: A Model to Translate Molecular Detection Into Predation Rate-Application Example on Biological Control by Generalist Predators in Agricultural Fields
Status Publisher Language English Country Great Britain, England Media print-electronic
Document type Journal Article
Grant support
ANR-17-CE32-0011
ANR NGB
Université de Rennes 1
ANR-20-PCPA-0008
SPECIFICS
- Keywords
- carabid beetle, hierarchical Bayesian model, molecular trophic ecology, pest regulation, predation rate,
- Publication type
- Journal Article MeSH
Few processes are as decisive as predation in shaping the structure and dynamics of ecological communities. For most predator species, however, the number of prey items killed by a predator in a day (predation rate) remains impossible to assess because direct observations are scarce or impossible to acquire. For such species, molecular gut content analyses are routinely used to test for the presence of a prey in the predator's gut. Specifically, our model uses a novel mechanistic representation of predation and digestion to integrate field data on prey detection and laboratory data on prey molecular signal decay in the predator's gut. Model fit provides an estimate of the slope and intercept of the digestion curve (molecular signal decay) and an estimate of the predation rate. In a case study targeting 25 carabid beetle species and 5 types of prey in agricultural fields (winter wheat), we use our model to estimate predation rates for each predator-prey pair. Based on predation rate estimates, we introduce a new biocontrol indicator at community scale and explore its potential for advanced agroecological research. We discuss the performance of our model on the basis of the scant information available in the literature and detail its conditions of application to highlight its advantages over existing predation models.
Department of Biology University of Victoria Victoria British Columbia Canada
Functional Diversity in Agro Ecosystems Crop Research Institute Praha 6 Czech Republic
IGEPP INRAE Institut Agro Univ Rennes Angers France
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