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What can occupancy models gain from time-to-detection data?

Dinusha Priyadarshani1, Res Altwegg2, Alan T K Lee3,4,5

  • 1Institute of Statistics, National Chung Hsing University, Taichung, Taiwan.

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Summary
This summary is machine-generated.

Time-to-detection (TTD) data in occupancy surveys improve species detection intensity estimates. A new mixed exponential TTD model better describes occupancy patterns and accounts for detection heterogeneity, outperforming traditional methods.

Keywords:
detection heterogeneitynegative binomial distributionoccupancy probabilitytime-to-detection model

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Area of Science:

  • Ecology
  • Wildlife Biology
  • Statistical Modeling

Background:

  • Site occupancy surveys are crucial for wildlife monitoring.
  • Traditional occupancy models often ignore the timing of species detections.
  • This can lead to biased estimates, especially when detection rates vary.

Purpose of the Study:

  • To evaluate the efficiency gains from using time-to-detection (TTD) data in occupancy modeling.
  • To develop and test a novel mixed exponential TTD occupancy model.
  • To assess the impact of detection intensity heterogeneity on occupancy estimates.

Main Methods:

  • Utilized time-to-detection data from species observations.
  • Developed a mixed exponential TTD occupancy model incorporating negative binomial distribution for individual counts.
  • Applied the model to 63 bird species data from South Africa's Karoo region.
  • Conducted simulations to explore study design trade-offs.

Main Results:

  • TTD data significantly improve estimates of detection intensity parameters.
  • The mixed exponential TTD model provided a superior fit to occupancy patterns compared to standard methods.
  • Ignoring detection intensity heterogeneity introduced negative bias in occupancy probability estimates.
  • The new model effectively estimates detection intensity and aggregation parameters simultaneously.

Conclusions:

  • Incorporating TTD data enhances the accuracy of occupancy models, particularly for detection intensity.
  • The developed mixed exponential TTD model offers a robust approach for analyzing ecological count data with varying detection rates.
  • Accounting for detection heterogeneity is essential for reliable occupancy probability estimation in ecological studies.