Wednesday 16 November 2011

Lower Limits of Phytoplankton Stocks in HNLC Zones

A Review of: Strom, Miller and Frost. What sets lower limits to phytoplankton stocks in high-nitrate, low-chlorophyll regions of the open ocean? Marine Ecology Progress Series (2000) 193.

High-nitrate, low-chlorophyll (HNLC) ocean regions are characterized by low, stable phytoplankton standing stocks which rarely deplete nitrate, phosphate or silicate in the upper water column to growth limiting levels. These ‘balanced’ pelagic ecosystems have been studied in depth over past decades in order to understand how they work and the ‘SUPER synthesis’ is now widely accepted with supporting evidence: phytoplankton cell size is restricted by iron limitation, the small cells are accessible to grazing by protists and the high growth rate of these consumers ensures they will always overtake and suppress increases in phytoplankton stock, therefore preventing blooms. However, without an understanding of the mechanisms setting the lower limits to phytoplankton stock on both seasonal and short-term time scales, our understanding of HNLC systems is incomplete. The main issue is the means by which consumers avoid exterminating their prey and is a long standing problem in ecology.

Removal processes hold the key to phytoplankton biomass minima as long as phytoplankton cell division is occurring. This is true regardless of the degree to which phytoplankton growth rates are limited by resource availability. Grazers are the principal removers of phytoplankton in the open ocean, therefore, grazer feeding rates and standing stocks must be the primary determinants of phytoplankton biomass minima in oceanic systems. In addition to grazing thresholds, possible explanations include spatial and temporal inhomogeneity in the habitat, control of grazers by their predators, and switching to alternative prey.

In plankton dynamics models, the inclusion of one or more spatial dimensions can generate patchy distributions which, through diffusional exchange, permit persistence of prey populations that might otherwise be driven to extinction by their predators. Small-scale patchiness, however, can only provide a refuge from grazers (and hence determine lower limits of phytoplankton biomass) if phytoplankton and grazers respond differently to, and can thus be uncoupled by, the patch environment.

Control of grazer populations by higher trophic level predators (carnivory) has been proposed as a mechanism to provide ecosystem stability in the absence of feeding thresholds. This indicates that top-down regulation of herbivores is a necessary but not sufficient condition for control of both minimum and maximum phytoplankton biomass in HNLC systems as predation control requires continuous predation, which the life history and grazing behavior of protists does not dictate.

Switching behavior by predators (disproportionate grazing on the more abundant of multiple prey types), has been suggested as a stabilizing influence on prey biomass. Switching may occur between multiple phytoplankton taxa, or between phytoplankton and other particle types such as bacteria and detritus. Prey types at low abundance would then experience a refuge even though total feeding activity by the grazer was not reduced.

This paper brings together numerous proposed models used to predict the mechanics of HNLC areas for comparison, highlighting the good and bad points of each and suggesting elements of each that could be combined to produce a model that predicts both the lower and upper limits of phytoplankton stocks in HNLC systems. The authors suggest that while our knowledge of the upper limits is sufficient, until more work is done on the lower limits we cannot be certain that our conclusions for the upper limits are correct and that the ‘big picture’ is a long way from complete. They also suggest that laboratory experiments need to mimic natural oceanic conditions a lot better with the use of multiple prey and predator types etc. Overall, it’s a nice paper with good critical analysis of all recent work and proposed models on HNLC systems.




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