Frontiers in Marine Science (Dec 2023)

Connecting coastal wetland microbial community characteristics with soil physicochemical properties across an estuarine salinity and vegetation gradient in Mobile Bay, AL, USA

  • Eric A. Weingarten,
  • Carina M. Jung,
  • Fiona H. Crocker,
  • Marissa L. Kneer,
  • Nia R. Hurst,
  • Mark A. Chappell,
  • Jacob F. Berkowitz,
  • Karl J. Indest

DOI
https://doi.org/10.3389/fmars.2023.1304624
Journal volume & issue
Vol. 10

Abstract

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Coastal wetlands provide a variety of ecological functions that sustain biodiverse habitats, serve as barriers to storm surge, regulate biogeochemical cycles, and yield ecosystem goods and services that benefit society. The magnitude of wetland functional delivery varies with geomorphology and landscape position, hydropattern and hydrodynamics, vegetation structure and composition, soil properties, and microbial community assemblages and activities. Here we describe soil physicochemical and microbial diversity along a vegetation and salinity gradient in the Mobile Bay estuary, AL, USA and discuss how these factors feedback on ecosystem characteristics and the delivery of ecological functions. We incorporated microbial biomass, diversity, and community composition into patterns of dominant vegetation cover type and soil properties. Stepwise model selection using permutation tests indicated that vegetation type >> soil horizon > and salinity strongly influenced microbe-soil relationships. The dominant variables governing microbial content were total sulfur concentration in surface soils and nitrate and nitrite (NOx) for subsurface soils. All biotic and abiotic variables indicated that seasonally inundated forested wetlands represented a distinct microbial biome within the Mobile Bay estuary compared to more frequently flooded and increasingly salt-tolerant Typha, tidal shrub, and Juncus wetland types. Compared with the other wetland types examined for this study, forested wetlands contained ~80% less organic carbon content, ~75% less nitrogen, ~33% less phosphorus, and ~95% less sulfur. Our results show the benefit of incorporating microbial trait data, including metataxonomics, enzymatics, and biomass, with other ecosystem properties such as vegetation and soil characterization data.

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