Numerical abundance and biomass reveal different temporal trends of functional diversity change in tropical fish assemblages
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Understanding how the biodiversity of freshwater fish assemblages changes over time is an important challenge. Until recently most emphasis has been on taxonomic diversity but it is now clear that measures of functional diversity can shed new light on the mechanisms that underpin this temporal change. Fish biologists use different currencies, such as numerical abundance and biomass, to measure the abundance of fish species. However, because they are not necessarily equivalent, these alternative currencies have the potential to reveal different insights into trends of functional diversity in natural assemblages. Here we asked how conclusions about temporal trends in functional diversity are influenced by the way in which the abundance of species has been quantified. To do this we computed two informative metrics, for each currency, for 16 freshwater fish assemblages in Trinidad's Northern Range that had been surveyed repeatedly over five years. We found that numerical abundance and biomass uncover different directional trends in these assemblages for each facet of functional diversity, and as such inform hypotheses about the ways in which these systems are being restructured. On the basis of these results we concluded that a combined approach, in which both currencies are employed, contributes to our understanding of the ecological processes that are involved in biodiversity change in freshwater fish assemblages.
Fontrodona-Eslava , A , Deacon , A E , Ramnarine , I W & Magurran , A 2021 , ' Numerical abundance and biomass reveal different temporal trends of functional diversity change in tropical fish assemblages ' , Journal of Fish Biology , vol. Early View . https://doi.org/10.1111/jfb.14812
Journal of Fish Biology
Copyright © 2021 The Authors. Journal of Fish Biology published by John Wiley & Sons Ltd on behalf of Fisheries Society of the British Isles. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium,provided the original work is properly cited.