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Combining Time-Stamped Insect Sampling With eDNA-Metabarcoding of Guano to Reconstruct Community Interactions.

Tamara R Hartke1, Manus Wittenhorst1,2, Martin Koch3

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Summary
This summary is machine-generated.

This study integrates bat guano DNA with time-stamped insect data to reveal bat foraging behavior. Findings show temporal diet analysis accurately infers prey selection and hunting strategies for conservation.

Keywords:
Plecotusbiodiversity monitoringbulk sampleschronoecologyeDNA metabarcodingspecies interaction monitoring

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Area of Science:

  • Ecology
  • Molecular Biology
  • Conservation Biology

Background:

  • Predator-prey dynamics are crucial for predicting responses to environmental change.
  • Bats, as apex predators, offer insights into ecosystem health by reflecting insect community changes.
  • Existing molecular diet studies lack temporal resolution, hindering understanding of bat hunting strategies and prey selection.

Purpose of the Study:

  • To investigate the foraging ecology of long-eared bats (Plecotus sp.) by integrating temporal data.
  • To overcome limitations of previous studies by combining environmental DNA (eDNA) metabarcoding of bat guano with time-stamped insect metabarcoding.
  • To infer prey selection mechanisms and hunting strategies based on temporal foraging patterns.

Main Methods:

  • Collected bat guano and time-stamped insect samples using automated Malaise traps.
  • Utilized eDNA metabarcoding for both bat guano and insect samples.
  • Analyzed and compared prey communities from guano with temporal insect activity data.

Main Results:

  • Bat guano prey composition closely matched insect samples collected between 22:00 and 6:00.
  • Identified species-specific peak foraging times and prey composition.
  • Detected distinct prey selection patterns between Plecotus auritus and Plecotus austriacus, reflecting different hunting strategies.

Conclusions:

  • Integrating a temporal dimension into molecular diet analysis allows direct inference of prey selection and foraging behavior from bat guano.
  • This approach enhances biodiversity monitoring and provides tools for conservation planning in changing environments.
  • The study highlights the importance of temporal data for understanding predator-prey interactions and informing conservation strategies.