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Updated: May 22, 2025

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations

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Published on: October 28, 2022

Inferring species extinction from sighting data.

Rachel S McCrea¹, Thomas Cheale², Eduard Campillo-Funollet¹

¹School of Mathematical Sciences, Fylde College, Lancaster University, Lancaster, UK.

Cambridge Prisms. Extinction

|March 13, 2025

Summary

This summary is machine-generated.

Determining species persistence and extinction timing is crucial for conservation. This study reviews methods for inferring extinction from sighting data and offers a practical RShiny package for implementation.

Keywords:

Poisson process extaille extinction extirpation rediscovery time series

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Area of Science:

Ecology
Conservation Biology
Biodiversity Science

Background:

Accurate species management relies on understanding persistence and extinction timelines.
Sighting data, encompassing diverse evidence types, forms the basis for assessing species existence.

Purpose of the Study:

To review existing methodologies for inferring species extinction from sighting records.
To elucidate the assumptions and applications of these extinction inference methods.
To provide a computational tool for applying these methods.

Main Methods:

Systematic review of scientific literature on species extinction inference from sighting data.
Development and presentation of an RShiny package for practical application of reviewed methods.

Main Results:

Identified and categorized various methods for inferring species extinction.
Provided a comprehensive overview of the assumptions and applicability of each method.
Developed a user-friendly RShiny package to facilitate the implementation of these techniques.

Conclusions:

The reviewed methods offer valuable tools for inferring species extinction.
Further research can enhance the capabilities of extinction inference techniques.
The RShiny package serves as a practical resource for conservation practitioners and researchers.