Ecological equivalence of species within phytoplankton functional groups

Mutshinda, CM; Finkel, ZV; Widdicombe, CE; Irwin, AJ. 2016 Ecological equivalence of species within phytoplankton functional groups. Functional Ecology, 30 (10). 1714-1722. 10.1111/1365-2435.12641

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Abstract/Summary

1.There are tens of thousands of species of phytoplankton found throughout the tree of life. Despite this diversity, phytoplankton are often aggregated into a few functional groups according to metabolic traits or biogeochemical role. We investigate the extent to which phytoplankton species dynamics are neutral within functional groups. 2.Seasonal dynamics in many regions of the ocean are known to affect phytoplankton at the functional group level leading to largely predictable patterns of seasonal succession. It is much more difficult to make general statements about the dynamics of individual species. 3.We use a 7 year time-series at station L4 in the Western English Channel with 57 diatom and 17 dinoflagellate species enumerated weekly to test if the abundance of diatom and dinoflagellate species vary randomly within their functional group envelope or if each species is driven uniquely by external factors. 4.We show that the total biomass of the diatom and dinoflagellate functional groups is well predicted by irradiance and temperature and quantify trait values governing the growth rate of both functional groups. The biomass dynamics of the functional groups are not neutral and each has their own distinct responses to environmental forcing. Compared to dinoflagellates, diatoms have faster growth rates, and grow faster under lower irradiance, cooler temperatures, and higher nutrient conditions. 5.The biomass of most species vary randomly within their functional group biomass envelope, most of the time. As a consequence, modelers will find it difficult to predict the biomass of most individual species. Our analysis supports the approach of using a single set of traits for a functional group and suggests that it should be possible to determine these traits from natural communities.

Item Type: Publication - Article
Subjects: Computer Science
Data and Information
Ecology and Environment
Marine Sciences
Divisions: Plymouth Marine Laboratory > National Capability categories > Western Channel Observatory
Depositing User: Claire Widdicombe
Date made live: 13 Mar 2017 09:44
Last Modified: 06 Jun 2017 16:18
URI: http://plymsea.ac.uk/id/eprint/7405

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