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This is a Quantitative Study study.

September 28, 2025Open Access

Avoiding biased estimates: measuring observer avoidance bias in distance sampling estimates of animal populations

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Authors

DSDaniel W. E. SankeyUniversity of Exeter CBCamilla Blasi-Foglietti JMJayalaxshmi MistryUniversity of North Texas

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Implication

Agent-based model evaluates the impact of observer avoidance bias on population density estimates, suggesting improved accuracy in conservation efforts.

Key Points

Avoidance behavior in animals significantly skews population density estimates, causing potential underestimations of up to 93%.
The study utilized data on Diana monkeys and lesser spot-nosed monkeys to quantify observer detection and flight initiation distances.
Application of an agent-based model demonstrates how parameterization influences the accuracy of distance sampling metrics.
Improved distance sampling techniques could enable more effective resource allocation in conservation strategies.

Cite This Study

Sankey et al. (2025) studied this question.

synapsesocial.com/papers/68d9052941e1c178a14f56ce https://doi.org/10.1101/2025.09.23.678025

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Implication

Agent-based model evaluates the impact of observer avoidance bias on population density estimates, suggesting improved accuracy in conservation efforts.

Avoiding biased estimates: measuring observer avoidance bias in distance sampling estimates of animal populations

Discussion

Member takes

Implication

Key Points

Cite This Study

Avoiding biased estimates: measuring observer avoidance bias in distance sampling estimates of animal populations

Discussion

Member takes

Implication

Key Points

Cite This Study

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