Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Feb 26;110(9):3259-63.
doi: 10.1073/pnas.1218327110. Epub 2013 Feb 11.

Vegetation engineers marsh morphology through multiple competing stable states

Affiliations

Vegetation engineers marsh morphology through multiple competing stable states

Marco Marani et al. Proc Natl Acad Sci U S A. .

Abstract

Marshes display impressive biogeomorphic features, such as zonation, a mosaic of extensive vegetation patches of rather uniform composition, exhibiting sharp transitions in the presence of extremely small topographic gradients. Although generally associated with the accretion processes necessary for marshes to keep up with relative sea level rise, competing environmental constraints, and ecologic controls, zonation is still poorly understood in terms of the underlying biogeomorphic mechanisms. Here we find, through observations and modeling interpretation, that zonation is the result of coupled geomorphological-biological dynamics and that it stems from the ability of vegetation to actively engineer the landscape by tuning soil elevation within preferential ranges of optimal adaptation. We find multiple peaks in the frequency distribution of observed topographic elevation and identify them as the signature of biologic controls on geomorphodynamics through competing stable states modulated by the interplay of inorganic and organic deposition. Interestingly, the stable biogeomorphic equilibria correspond to suboptimal rates of biomass production, a result coherent with recent observations. The emerging biogeomorphic structures may display varying degrees of robustness to changes in the rate of sea level rise and sediment availability, with implications for the overall resilience of marsh ecosystems to climatic changes.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Zonation patterns generated by the model. (A) The time evolution of transect topography was started here from a linear initial condition, but several other initial conditions were explored with analogous results. Monospecific vegetation patches, very similar to observed zonation patterns (Inset), and terrace-like topographic structures emerge as a result of multiple stable states defined by ∂z/∂t = 0 and ∂/∂z(∂z/∂t) < 0. (B) Fitness functions of the species populating the marsh, which define the rate of organic soil production as Qo = γ ⋅ B0fi(z), as well as the species competitive abilities (γ incorporates typical vegetation characteristics and the density of the organic soil produced; B0 is the biomass density of a fully vegetated marsh). (C) The superscripts “(s)” and “(u)” denote stable and unstable equilibria, respectively. If the initial elevation of the site at formula image is comprised between formula image and formula image, the elevation will tend toward formula image. If the initial elevation of the site at formula image is located below formula image, the elevation will tend toward formula image.
Fig. 2.
Fig. 2.
(A) Stochastic interspecific competition. Species i is selected as the successful competitor with a probability formula image (for each site xk and each time step), generating relatively noisy patterns. However, the multimodal frequency distribution of topographic elevation, the signature of the underlying biogeomorphic coupling, remains detectable. Each peak (color coded according to the species that is most abundant within each elevation interval) clearly is associated with the unique species that generates it. (B) In the absence of an organic soil contribution to the accretion rate, the resulting smooth topography is determined entirely by inorganic deposition. Vegetation species colonize the transect in banded patterns according to their respective fitnesses. (C) The frequency distribution of topographic elevation shows uncertain symptoms of multiple peaks when less specialized vegetation species (λ = 2) are considered, a sign that a decreased vegetation specialization produces less easily detectable multiple peaks in the topographic elevation frequency distribution.
Fig. 3.
Fig. 3.
(A and B) Observed zonation patterns. An accurate topographic survey (uncertainty smaller than 1 mm) reveals a multimodal frequency distribution of soil elevation, highly suggestive of the major role played by the biomass-elevation feedback in tuning marsh topography. Each bar is color coded according to the vegetation species that is most abundant within the pertinent elevation interval, showing that, indeed, elevation ranges are characteristic of the vegetation species (or of a typical mix of species at high elevations) that maintain them.

References

    1. Adam P. Saltmarsh Ecology. Cambridge, UK: Cambridge Univ Press; 1990.
    1. Allen JRL. Morphodynamics of Holocene salt marshes: A review sketch from the Atlantic and Southern North Sea coasts of Europe. Quat Sci Rev. 2000;19:1155–1231.
    1. Blum LK, Christian RR. The Ecogeomorphology of Salt Marshes. 2004. Belowground production and decomposition along a tidal gradient in a Virginia salt marsh. Coastal and Estuarine Studies (American Geophysical Union, Washington, DC), Vol 59, pp 47–74.
    1. D’Alpaos A, Mudd SM, Carniello L. Dynamic response of marshes to perturbations in suspended sediment concentrations and rates of relative sea level rise. J Geophys Res. 2011;116:F04020.
    1. Marani M, D’Alpaos A, Lanzoni S, Carniello L, Rinaldo A. Biologically-controlled multiple equilibria of tidal landforms and the fate of the Venice lagoon. Geophys Res Lett. 2007;34(11):L11402.

Publication types