Evaluating detectability of freshwater fish assemblages in tropical streams : is hand-seining sufficient?
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Unprecedented threats to natural ecosystems mean that accurate quantification of biodiversity is a priority, particularly in the tropics which are underrepresented in monitoring schemes. Data from a freshwater fish assemblage in Trinidad were used to evaluate the effectiveness of hand-seining as a survey method in tropical streams. We uncovered large differences in species detectability when hand-seining was used alone, in comparison with when hand-seining and electrofishing were used together. The addition of electrofishing increased the number of individuals caught threefold, and increased the biomass fivefold. Some species were never detected using hand-seining, resulting in significant underestimates of species richness; rarefaction curves suggest that even when hand-seining effort increases, species richness is still underestimated. Diversity indices (Shannon and Simpson index) reveal that diversity was also significantly lower for hand-seined samples. Furthermore, the results of multivariate analyses investigating assemblage structure also differed significantly depending on whether they were based on hand-seined data alone, or a combination of hand-seining and electrofishing. Despite the extra equipment and maintenance required, these findings underline the value of including electrofishing when sampling tropical freshwater streams.
Deacon , A , Mahabir , R , Inderlall , D , Ramnarine , I W & Magurran , A E 2017 , ' Evaluating detectability of freshwater fish assemblages in tropical streams : is hand-seining sufficient? ' Environmental Biology of Fishes , vol 100 , no. 7 , pp. 839-849 . DOI: 10.1007/s10641-017-0610-5
Environmental Biology of Fishes
© The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
This work was funded by a European Research Council grant (BIOTIME 250189). AEM also acknowledges the Royal Society.
- Centre for Biological Diversity (CBD) Research
- Institute of Behavioural and Neural Sciences Research
- Biology Research
- Centre for Research into Ecological & Environmental Modelling (CREEM) Research
- Scottish Oceans Institute Research
- St Andrews Sustainability Institute Research
- University of St Andrews Research
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