Search effort and imperfect detection: Influence on timed-search mussel (Bivalvia: Unionidae) surveys in Canadian rivers
| Autor: | Scott M. Reid |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0106 biological sciences
Population Endangered species Management Monitoring Policy and Law Aquatic Science 010603 evolutionary biology 01 natural sciences lcsh:Aquaculture. Fisheries. Angling Abundance (ecology) Sampling design Villosa iris education Nature and Landscape Conservation Water Science and Technology lcsh:SH1-691 education.field_of_study Ecology biology 010604 marine biology & hydrobiology endangered species Unionidae biology.organism_classification Unionids Fishery monitoring sampling design Ligumia nasuta Species richness |
| Zdroj: | Knowledge and Management of Aquatic Ecosystems, Vol 0, Iss 417, p 17 (2016) |
| ISSN: | 1961-9502 |
| DOI: | 10.1051/kmae/2016004 |
| Popis: | Inventories and population monitoring are essential activities supporting the conservation of freshwater mussel diversity in Canadian rivers. Despite widespread use of timed-search methods to survey river mussels, the relationship between species detection and search effort has received limited study. In this study, repeat-sampling data from 54 Ontario river sites were used to estimate: (1) species detection probabilities; (2) the number of sampling events required to confidently detect species; and, (3) the power of timed-search surveys to detect future distribution declines. Mussels were collected using visual and tactile methods, and collection data were recorded separately for each 1.5 h of search time (up to 4.5 h). Thirteen species were collected; including two endangered species (Rainbow Villosa iris and Eastern Pondmussel Ligumia nasuta ). In all cases, species detection was imperfect. However, detection probabilities (p ) for most species were high (>0.69). Two repeat 4.5 h surveys are required to confidently assess whether most (83%) species are present at a site. Search effort had a positive effect on estimates of species richness, detection probability and site occupancy, and the power to detect future distribution declines. At all levels of sampling effort, detection probability and site occupancy estimates were positively correlated to mussel abundance. |
| Databáze: | OpenAIRE |
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