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Evaluating freshwater mussel sampling methodologies using a simulation model
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DOI：10.1016/j.ecolind.2025.114172.png)
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Abstract
En 中文
• Agent-based models can simulate a variety of sampling designs for mussel populations with unknown spatial distributions. • Catch-per-unit-effort from qualitative timed searches was unreliable due to variability when mussels were dense or clustered. • Simple random and transect sampling estimate population characteristics well but need a high level of effort for rare species. • Adaptive cluster sampling is efficient for rare mussels but the level of effort required is high to complete an ACS protocol.
Keywords:
Adaptive sampling
Freshwater mussels
Monitoring
Riverine
Simulation
Survey methodology
Timed search
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