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Ecology, management and conservation in natural and modified habitats
RESEARCH ARTICLE (Open Access)

Power and the passion: assessing statistical power with simulations to optimise monitoring of a threatened lizard

Jack Bilby https://orcid.org/0000-0003-3103-9605 A B * , Joshua S. Martin https://orcid.org/0009-0003-2229-6623 C , Kelly Arbon B , Ryan Baring D , Jessica Clayton D and Lucy F. R. Clive B
+ Author Affiliations
- Author Affiliations

A School of Biological, Earth, and Environmental Sciences, UNSW, Sydney, NSW 2052, Australia.

B Nature Foundation, PO Box 34, Prospect, SA 5082, Australia.

C School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia.

D College of Science and Engineering, Flinders University, Adelaide, SA 5001, Australia.

* Correspondence to: j.bilby@unsw.edu.au

Handling Editor: Catherine Collins

Wildlife Research 52, WR24159 https://doi.org/10.1071/WR24159
Submitted: 25 September 2024  Accepted: 17 April 2025  Published: 13 May 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

Effective ecological surveying is a crucial component of the conservation management of cryptic and threatened species. Ensuring that a survey design has adequate statistical power to confidently detect changes is often overlooked. The pygmy bluetongue (Tiliqua adelaidensis) is an endangered species likely to benefit from increased survey optimisation and structured monitoring efforts across its fragmented and limited distribution.

Aims

We compared multiple quadrat sizes on simulated populations of T. adelaidensis at varying densities to evaluate sample sizes and detection rates required to achieve optimal statistical power and assess the ideal quadrat size and number for detecting population changes at Tiliqua Nature Reserve, South Australia.

Methods

We employed power analyses to assess the number of 30 × 30-m, 50 × 50-m, and 100 × 100-m quadrats required to detect 10%, 25%, and 50% declines in a simulated population of T. adelaidensis. On the basis of these analyses, we conducted the first site-wide monitoring survey for this species at Tiliqua Nature Reserve and, with the assistance of volunteer citizen scientists, surveyed 25 50 × 50-m quadrats over 5 days, achieving the expected sample size required to detect changes in the population size and estimate population densities for the site.

Key results

Our results suggested that 50 × 50-m quadrats were comparable or had significantly higher statistical power than did other quadrat sizes within the survey area and during the sampling period.

Conclusions

This study demonstrated that 50 × 50-m quadrats were the most effective survey strategy for detecting significant population declines of the endangered T. adelaidensis at Tiliqua Nature Reserve. This quadrat size balances survey effort and statistical power, providing a reliable method for long-term monitoring.

Implications

The optimised survey design using 50 × 50-m quadrats provides a robust framework for annual monitoring at Tiliqua Nature Reserve and is likely to be a viable method for other properties. This approach to determining survey effort can be applied to similar conservation efforts for other cryptic and threatened species, ensuring more effective use of resources and timely detection of population changes to inform conservation actions.

Keywords: conservation management, population monitoring, power analysis, pygmy bluetongue lizard, survey design, threatened species, Tiliqua adelaidensis, volunteer engagement.

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