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Conservation of Small Populations

Conservation of Small Populations

Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...

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Related Experiment Video

Updated: Mar 28, 2026

Protocol for Assessing the Relative Effects of Environment and Genetics on Antler and Body Growth for a Long-lived Cervid

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Using Qualitative Disease Risk Analysis for Herpetofauna Conservation Translocations Transgressing Ecological and

Mariana Bobadilla Suarez^1,2, John G Ewen³, Jim J Groombridge⁴

¹Institute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY, UK. Mariana.Bobadilla@ioz.ac.uk.

|December 24, 2015

Summary

Disease risk analysis for UK herpetofauna translocations identifies hazards and analyzes risks. Avoiding ecological barriers in translocation pathways reduces disease spread and aids conservation decision-making.

Keywords:

Amphibians Conservation Disease management Reintroductions Reptiles Translocations

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Area of Science:

Herpetology
Conservation Biology
Veterinary Epidemiology

Background:

Translocation of wildlife, including herpetofauna, is a common conservation tool.
Introduction of novel pathogens during translocations poses a significant risk to recipient populations.
Existing methods for disease risk analysis in translocations require refinement for herpetofauna.

Purpose of the Study:

To explore disease risk analysis methods for UK herpetofauna translocations.
To identify and analyze disease hazards associated with wildlife translocations.
To develop a tool to aid conservation practitioners in disease risk assessment.

Main Methods:

Case study analysis of four UK herpetofauna translocations.
Identification of potential disease hazards based on source and destination site characteristics.
Evaluation of ecological and geographical barriers influencing disease transmission.
Risk analysis framework development.

Main Results:

Ecological or geographical barriers between sites increase disease risk by altering parasite populations.
Simplifying translocation pathways by avoiding barriers reduces disease hazards.
The study identified specific disease risks relevant to UK herpetofauna.

Conclusions:

Disease risk analysis is crucial for successful herpetofauna translocations.
Understanding barriers is key to mitigating disease spread.
A practical tool can improve pre-translocation disease management decisions.