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Improving Inference Within Freshwater Community Studies: Accounting for Variable Detection Rates of Amphibians and

Andrew J Hamer1,2, Júlia Horányi1,2

  • 1Institute of Aquatic Ecology, HUN-REN Centre for Ecological Research Budapest Hungary.

Ecology and Evolution
|October 18, 2024
PubMed
Summary
This summary is machine-generated.

Accurate freshwater community studies require occupancy models to address imperfect species detection. These models reveal how fish presence and vegetation impact amphibian detection in urban ponds.

Keywords:
aquatic habitatoccupancy probabilityphenologyrare speciessurvey methodologyurbanisation

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Area of Science:

  • Ecology
  • Conservation Biology
  • Freshwater Ecology

Background:

  • Freshwater community research often links species distribution to biotic factors.
  • Imperfect species detection, like false negatives, can skew distribution patterns and community assessments.
  • Occupancy models provide a robust method to account for imperfect detection in ecological studies.

Purpose of the Study:

  • To assess amphibian and fish species detection probabilities in urban ponds using occupancy models.
  • To investigate the influence of biotic factors, such as fish presence and vegetation, on amphibian detection.
  • To compare the efficacy of different survey methods for detecting aquatic species.

Main Methods:

  • Conducted surveys at 100 ponds in Hungary over one breeding season.
  • Employed three survey methods: call/visual encounter surveys, dip-netting, and newt trapping.
  • Utilized occupancy models to estimate detection probabilities for amphibians and fish.

Main Results:

  • Detected nine amphibian and 20 fish species, with low and variable amphibian detection probabilities (mean: 0.320).
  • Amphibian detection probabilities peaked mid-breeding season and increased with survey effort.
  • Fish detection negatively impacted five amphibian species' detection, while emergent vegetation positively influenced amphibian detection.

Conclusions:

  • Accounting for imperfect detection of both target species and interacting species is crucial for aquatic community studies.
  • Multi-species occupancy models are recommended for accurate inference in human-disturbed aquatic landscapes.
  • Survey method choice did not significantly impact detection rates, highlighting the importance of modeling detection probability.