How important is diversity for capturing environmental-change responses in ecosystem models?

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Abstract

Marine ecosystem models used to investigate how global change affects ocean ecosystems and their functioning typically omit pelagic plankton diversity. Diversity, however, may affect functions such as primary production and their sensitivity to environmental changes. Here we use a global ocean ecosystem model that explicitly resolves phytoplankton diversity by defining subtypes within four phytoplankton functional types (PFTs). We investigate the model's ability to capture diversity effects on primary production under environmental change. An idealized scenario with a sudden reduction in vertical mixing causes diversity and primary-production changes that turn out to be largely independent of the number of coexisting phytoplankton subtypes. The way diversity is represented in the model provides a small number of niches with respect to nutrient use in accordance with the PFTs defined in the model. Increasing the number of phytoplankton subtypes increases the resolution within the niches. Diversity effects such as niche complementarity operate between, but not within PFTs, and are constrained by the variety of traits and trade-offs resolved in the model. The number and nature of the niches formulated in the model, for example via trade-offs or different PFTs, thus determines the diversity effects on ecosystem functioning captured in ocean ecosystem models. © 2014 Author(s).

Figures

  • Table 1. Simulations with plankton functional types (PFTs; Pro: Prochlorococcus; Small: other small; Dia: diatoms; Large: other large) and number of subtypes in each PFT.
  • Figure 1. Primary production (PP; 0–100 m) without reduced mixing (a, b) and difference in PP 10 yr after mixing reduction (c, d) for the simulation with n= 78 phytoplankton subtypes (a, c) and with the four PFTs represented by one subtype each (n= 4; b, d).
  • Figure 2. Zonal averages of diversity as number of subtypes exceeding threshold biomass Pth (a–c), and of primary production (PP; d–f) in the simulations without reduction in mixing (a, d), and as absolute (b, e) and relative (c, f) difference between scenarios with and without reduce mixing 10 yr after mixing reduction. Results are shown for one simulatio with n= 78 phytoplankt n subtypes, the average of three simulations using different subpopulations of the n= 78 simulation with n= 30 subtypes with minimum and maximum values indicated by the grey shaded area, and three simulations with all four generic phytoplankton functional types (n= 4), and with three PFTs omitting the Prochlorococcus and the other-small PFT (n= 3p and n= 3o, respectively). See panel (c) for colour code.
  • Figure 3. Absolute primary production (PP) changes (black; cf. Fig. 2e) due to the reduction in mixing, and decomposition into effects of total biomass, growth rate, or composition changes along 25◦ W. The mixing reduction affects the specific growth rate (red) via nutrient and light conditions as well as the individual biomass of phytoplankton subtypes via effects on both total biomass and community composition (solid blue). Effects on the individual biomass arise from changes in total biomass (dashed light blue) and shifts in community composition, i.e. the relative biomass of each phytoplankton subtype (dashed dark blue). Displayed are zonal averages from the simulation with n= 78 subtypes. See the appendix for details on the decomposition.
  • Figure 4. Position of individual phytoplankton subtypes in the trait space given by optimum temperature (Topt; a–d) and optimum light intensity (Iopt; e–h) vs. half-saturation concentration for phosphate uptake (KPO4 ) for the simulation with n= 78 types (a, e) and the three simulations with n= 30 types (b–d, f–h). Downward and upward pointing triangles identify Prochlorococcus and other small subtypes, respectively. Circles and diamonds identify diatoms and other large subtypes, respectively. Colour shading indicates the global average fraction of total biomass for each subtype. Grey symbols indicate subtypes with 0 biomass fraction in the global average. Vertical and horizontal lines indicate KPO4 and Iopt, respectively, of the PFTs in the n= 4 and n= 3 simulations, i.e. Prochlorococcus (P) analogues, other small phytoplankton (S), other large phytoplankton (L), and diatom analogues (D).
  • Figure 5. Histogram of the number of phytoplankton subtypes against half-saturation concentration for phosphate uptake (KPO4 ) for the simulation with n= 78 types (a) and the three simulations with n= 30 types (b–d). Colour shading indicates the fraction of total biomass for all subtypes within a KPO4 bin. Vertical lines indicate the PFTs in the n= 4 and n= 3 simulations (see Fig. 4 for details).

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APA

Prowe, A. E. F., Pahlow, M., Dutkiewicz, S., & Oschlies, A. (2014). How important is diversity for capturing environmental-change responses in ecosystem models? Biogeosciences, 11(12), 3397–3407. https://doi.org/10.5194/bg-11-3397-2014

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