The vertical distribution of phytoplankton in stratified water columns
Introduction
The aquatic environment of phytoplankton creates an opportune situation to study the feedbacks between resource gradients, behavioral movement, population dynamics, and passive dispersal. The major axis of spatial heterogeneity for phytoplankton is the vertical dimension. The vertical distribution of phytoplankton affects primary production as well as energy transfer to higher trophic levels (Leibold, 1990, Williamson et al., 1996, Lampert et al., 2003). Therefore, there is an immediate need to understand the fundamental principles that govern the vertical distribution of phytoplankton, ecologically important organisms that contribute roughly half of global net primary productivity (NPP) (Field et al., 1998) and continue to be affected by climate change (Hays et al., 2005).
A dizzying diversity of phytoplankton vertical distributions have been observed (see Fig. 1 for a few examples). Physical stratification breaks the water column into distinct strata resulting in non-uniform mixing, often with a well-mixed surface layer on top of a poorly mixed deep layer (Wetzel, 1975, Wüest et al., 2000). Phytoplankton may be found in high abundance in the mixed layer, in the deep layer, directly on the bottom, or in some combination of these layers. What determines their vertical distribution in stratified water columns? Light is in greatest supply at the top of the mixed layer and phytoplankton are hypothesized to exist there when there is adequate nutrient supply (Reynolds, 1984, Paerl, 1988). Frequently, phytoplankton form a peak in abundance known as a deep chlorophyll maximum, or DCM, in the deep layer. Low turbulence and sufficient light penetration have been hypothesized as necessary for a DCM to persist (Fee, 1976) and the light and nutrient gradients control the depth of the peak (Fee, 1976, Klausmeier and Litchman, 2001). Under low nutrient concentrations and if sufficient light penetrates to the bottom, algae may form a benthic layer on the sediments and access nutrients diffusing through the sediment pore water before it enters the water column (Sand-Jensen and Borum, 1991).
In a well-mixed water column, phytoplankton and nutrients are homogenized throughout the water column; however, a light gradient is inevitable. As a consequence, phytoplankton experience varying local light levels and therefore varying growth rates. The light level at the bottom of the water column, Iout, predicts the outcome of competition for light (Huisman and Weissing, 1994, Huisman and Weissing, 1995) in a way similar to R⁎ for nutrients (Tilman, 1982). In contrast, in a poorly mixed water column, motile phytoplankton can be thought of as playing a competitive game in opposing essential resource gradients. A shallower position allows a cell to shade those below it but a deeper position allows it to intercept nutrients mixing up from below. Eventually, through movement and/or growth, phytoplankton will aggregate at their evolutionarily stable strategy (ESS) depth z*, which is the depth of equal limitation by nutrients and light and prevents growth elsewhere in the water column (Klausmeier and Litchman, 2001). These studies are applicable to the two extremes of whole water columns, one of well-mixed and one of poorly mixed.
Many bodies of water stratify. Several models have considered stratified water columns, ranging from complex simulation models particular to specific ecosystems (Lucas et al., 1998, Fennel and Boss, 2003, Peeters et al., 2007, Ross and Sharples, 2007) to simpler models aimed at general understanding. Condie and Bormans (1997) and Hodges and Rudnick (2004) included sinking but neglect the feedback of phytoplankton on light. Huisman and Sommeijer, 2002b, Huisman and Sommeijer, 2002a incorporate the feedback of phytoplankton on light, but omit nutrients and assume no mixing in the hypolimnion. Yoshiyama and Nakajima (2002), Yoshiyama et al. (2009), and Ryabov et al. (2010) do not include nutrient loading to the mixed layer. Our study systematically explores the different vertical distributions of phytoplankton that can arise from intraspecific competition for nutrients and light in a stratified water column.
In this paper, we build on previous work by considering a stratified water column with a well-mixed surface layer on top of a poorly mixed deep layer, a combination of approaches by Huisman and Weissing, 1994, Huisman and Weissing, 1995 and Klausmeier and Litchman (2001). We relax the assumption of an infinitely thin layer (Klausmeier and Litchman, 2001) to a mixed layer of finite depth and show what resources limit growth at different depths within the layer. Furthermore, we consider multiple nutrient inputs, including input directly to the mixed layer, expanding on Diehl (2002). Current models for poorly mixed water columns consider only nutrient supply from below (Klausmeier and Litchman, 2001, Huisman et al., 2006, Beckmann and Hense, 2007). We enumerate the possible equilibrium algal vertical strategies and show under what conditions each should occur.
Section snippets
Full model
The full model consists of partial differential equations for biomass, b(z,t) and nutrients, R(z,t) which in our examples represents phosphorus, and an integral equation for light, I(z,t). We consider a one-dimensional water column where z is depth with the surface at z=0 and the bottom at z=zb.
Phytoplankton biomass b grows according to Liebig's law of the minimum, so gross growth rate at depth z is . Functions fI(I) and fR(R) are the potential growth rates as a
Spatial distribution states
Stratification and multiple nutrient sources lead to a greater diversity of possible equilibrium vertical distributions and resource limitation states of phytoplankton than in previous models. In the mixed layer, four states for phytoplankton are possible: light-limited ( for ), nutrient-limited ( for ), co-limited , or not present (empty). In the deep layer, three states for phytoplankton are possible: nutrient-limited in a benthic layer, co-limited
Discussion
Aquatic communities exhibit pronounced spatial patterns (Steele, 1978). How competition structures the spatial distributions of organisms through feedbacks in abiotic and biotic components is important to understanding how biological heterogeneity is generated. We have shown how externally imposed heterogeneity in the form of resource gradients and mixing interacts with internally generated heterogeneity in the form of competition, population dynamics, and movement to determine the spatial
Acknowledgements
Comments from Jim Grover, and several anonymous reviewers greatly improved this manuscript. This work was supported by funding from National Science Foundation Division of Environmental Biology 06-10531 and 06-10532 and the J.S. McDonnell Foundation. K.Y. was partially supported by the Global Environmental Research Fund (Fa-084) by the Ministry of the Environment, Japan. This is contribution number 1575 of the Kellogg Biological Station.
References (77)
- et al.
Results from the US EPA's biological open water surveillance program of the Laurentian Great Lakes: II. Deep chlorophyll maxima
Journal of Great Lakes Research
(2001) - et al.
Beneath the surface: characteristics of oceanic ecosystems under weak mixing conditions—a theoretical investigation
Progress in Oceanography
(2007) - et al.
The influence of density stratification on particle settling, dispersion and population growth
Journal of Theoretical Biology
(1997) - et al.
Phosphorus-binding forms in the sediment of an oligotrophic and an eutrophic hardwater lake of the Baltic lake district (Germany)
Water Science & Technology
(1998) - et al.
The impact of Eurasian dust storms and anthropogenic emissions on atmospheric nutrient deposition rates in forested Japanese catchments and adjacent regional seas
Global & Planetary Change
(2008) - et al.
Climate change and marine plankton
Trends in Ecology & Evolution
(2005) - et al.
Simple models of steady deep maxima in chlorophyll and biomass
Deep-Sea Research Part I—Oceanographic Research Papers
(2004) - et al.
Population dynamics of sinking phytoplankton in light-limited environments: simulation techniques and critical parameters
Journal of Sea Research
(2002) - et al.
Estimation of sediment-water exchange of solutes in Lake Veluwe, the Netherlands
Water Research
(1999) - et al.
Vertical distribution and composition of phytoplankton under the influence of an upper mixed layer
Journal of Theoretical Biology
(2010)
Interactions among phytoplankton, periphyton, and macrophytes in temperate freshwaters and estuaries
Aquatic Botany
Catastrophic transition in vertical distributions of phytoplankton: alternative equilibria in a water column
Journal of Theoretical Biology
Long-term changes in the vertical distribution of phytoplankton biomass and primary production in Lake Geneva: a response to the oligotrophication
Alti Associazione Italiana Oceanologia Limnologia
VODE—a variable-coefficient ODE solver
SIAM Journal on Scientific & Statistical Computing
On the occurrence and ecological features of deep chlorophyll maxima (DCM) in Spanish stratified lakes
Limnetica
Predicting chlorophyll vertical-distribution in response to epilimnetic nutrient enrichment in small stratified lakes
Journal of Plankton Research
Summer dynamics of the deep chlorophyll maximum in Lake Tahoe
Journal of Plankton Research
Behavior, physiology and the niche of depth-regulating phytoplankton
Nutrient regeneration from aerobic decomposition of green-algae
Environmental Science & Technology
Phytoplankton, light, and nutrients in a gradient of mixing depths: Theory
Ecology
Phytoplankton, light, and nutrients in a gradient of mixing depths: field experiments
Ecology
Concentration phenomena in a nonlocal quasi-linear problem modelling phytoplankton II: limiting profile
SIAM Journal on Mathematical Analysis
Vertical seasonal distribution of chlorophyll in lakes of Experimental-Lakes-Area, Northwestern Ontario implications for primary production estimates
Limnology & Oceanography
Subsurface maxima of phytoplankton and chlorophyll: steady-state solutions from a simple model
Limnology & Oceanography
Primary production of the biosphere: integrating terrestrial and oceanic components
Science
Fertilization of an oligotrophic lake with a deep chlorophyll maximum: predicting the effect on primary productivity
Canadian Journal of Fisheries & Aquatic Sciences
Seasonal succession, vertical distribution and long term variation of phytoplankton communities in two shallow forest lakes in eastern Finland
Hydrobiologia
Population dynamics of light-limited phytoplankton: microcosm experiments
Ecology
Critical depth and critical turbulence: two different mechanisms for the development of phytoplankton blooms
Limnology & Oceanography
Changes in turbulent mixing shift competition for light between phytoplankton species
Ecology
Maximal sustainable sinking velocity of phytoplankton
Marine Ecology—Progress Series
Reduced mixing generates oscillations and chaos in the oceanic deep chlorophyll maximum
Nature
Light-limited growth and competition for light in well-mixed aquatic environments: an elementary model
Ecology
Competition for nutrients and light in a mixed water column—a theoretical-analysis
American Naturalist
A Treatise on Limnology
Physical determinants of phytoplankton production, algal stoichiometry, and vertical nutrient fluxes
American Naturalist
Summer heatwaves promote blooms of harmful cyanobacteria
Global Change Biology
Light limitation of nutrient-poor lake ecosystems
Nature
Cited by (91)
Concentration phenomenon of single phytoplankton species with changing-sign advection term
2024, Journal of Differential EquationsEcology of Algae and Cyanobacteria (Phytoplankton)
2023, Wetzel's Limnology: Lake and River Ecosystems, Fourth EditionLake algal bloom monitoring via remote sensing with biomimetic and computational intelligence
2022, International Journal of Applied Earth Observation and GeoinformationThe spatiotemporal variations in microalgae communities in vertical waters of a subtropical reservoir
2022, Journal of Environmental Management