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Reducing sampling error in faecal egg counts from black rhinoceros (Diceros bicornis)
Andrew P Stringer1, Diane Smith2, Graham I H Kerley2
1Centre for Biodiversity and Restoration Ecology, Victoria University of Wellington, New Zealand.
Faecal egg counts (FECs) for black rhinoceros parasite load are reliable up to six hours post-defecation. More than nine samples are needed for precise parasite abundance estimates in populations.
Area of Science:
- Veterinary Parasitology
- Wildlife Health Management
- Conservation Biology
Background:
- Faecal egg counts (FECs) are crucial for non-invasive parasite load assessment in wildlife.
- Potential errors in FECs stem from laboratory techniques, sample storage, and sampling methods.
- Understanding sampling error is vital for accurate parasite burden estimation in host populations.
Purpose of the Study:
- To evaluate the impact of delayed dung sample collection on FECs in black rhinoceros.
- To determine the optimal number of samples required for reliable estimation of mean parasite abundance.
- To enhance the cost-effectiveness and efficiency of sampling strategies for black rhinoceros populations.
Main Methods:
- Investigated strongyle-type nematodes and Anoplocephala gigantea eggs in black rhinoceros dung.
- Assessed FECs from dung samples collected up to six hours after defecation.
- Utilized statistical methods to estimate the sample size needed for robust parasite abundance data.
Main Results:
- Dung sample collection up to six hours post-defecation did not significantly affect FECs.
- A minimum of nine samples were required to substantially improve confidence intervals for mean parasite abundance.
- Sampling timing and sample size influence the reliability of FEC data.
Conclusions:
- FECs in black rhinoceros are reliable when samples are collected within six hours of defecation.
- A minimum of nine samples per host population is recommended for accurate parasite abundance assessment.
- Optimized sampling protocols improve the efficiency and reliability of FECs in wildlife health monitoring.
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