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Self-organized sulfide-driven traveling pulses shape seagrass meadows
Ruiz-Reynes, D.; Mayol, E.; Sintes, T.; Hendriks, I.E.; Hernandez-Garcia, E.; Duarte, C.M.; Gomila, D. (2023). Self-organized sulfide-driven traveling pulses shape seagrass meadows. Proc. Natl. Acad. Sci. U.S.A. 120(3): e2216024120. https://dx.doi.org/10.1073/pnas.2216024120
In: Proceedings of the National Academy of Sciences of the United States of America. The Academy: Washington, D.C.. ISSN 0027-8424; e-ISSN 1091-6490, more
Peer reviewed article  

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Keywords
    Seagrass
    Posidonia oceanica (Linnaeus) Delile, 1813 [WoRMS]
    Marine/Coastal
Author keywords
    spatiotemporal patterns; seagrass meadows; ecology; excitability; vegetation traveling pulses

Authors  Top 
  • Ruiz-Reynes, D., more
  • Mayol, E.
  • Sintes, T.
  • Hendriks, I.E.
  • Hernandez-Garcia, E.
  • Duarte, C.M.
  • Gomila, D.

Abstract

    Seagrasses provide multiple ecosystem services and act as intense carbon sinks in coastal regions around the globe but are threatened by multiple anthropogenic pressures, leading to enhanced seagrass mortality that reflects in the spatial self-organization of the meadows. Spontaneous spatial vegetation patterns appear in such different ecosystems as drylands, peatlands, salt marshes, or seagrass meadows, and the mechanisms behind this phenomenon are still an open question in many cases. Here, we report on the formation of vegetation traveling pulses creating complex spatiotemporal patterns and rings in Mediterranean seagrass meadows. We show that these structures emerge due to an excitable behavior resulting from the coupled dynamics of vegetation and porewater hydrogen sulfide, toxic to seagrass, in the sediment. The resulting spatiotemporal patterns resemble those formed in other physical, chemical, and biological excitable media, but on a much larger scale. Based on theory, we derive a model that reproduces the observed seascapes and predicts the annihilation of these circular structures as they collide, a distinctive feature of excitable pulses. We show also that the patterns in field images and the empirically resolved radial profiles of vegetation density and sediment sulfide concentration across the structures are consistent with predictions from the theoretical model, which shows these structures to have diagnostic value, acting as a harbinger of the terminal state of the seagrass meadows prior to their collapse.


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