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Faunal and environmental drivers of carbon and nitrogen cycling along a permeability gradient in shallow North Sea sediments
Toussaint, E.; De Borger, E.; Braeckman, U.; De Backer, A.; Soetaert, K.; Vanaverbeke, J. (2021). Faunal and environmental drivers of carbon and nitrogen cycling along a permeability gradient in shallow North Sea sediments. Sci. Total Environ. 767: 144994. https://hdl.handle.net/10.1016/j.scitotenv.2021.144994
In: Science of the Total Environment. Elsevier: Amsterdam. ISSN 0048-9697; e-ISSN 1879-1026, meer
Peer reviewed article  

Beschikbaar in  Auteurs 

Trefwoorden
    Macrobenthos
    Sediment mixing > Bioturbation
    Marien
Author keywords
    Benthic ecosystem functioning, Variance partitioning, Organic matter cycling, Sediment characteristics

Auteurs  Top 
  • Toussaint, E., meer
  • De Borger, E., meer
  • Braeckman, U., meer
  • De Backer, A., meer
  • Soetaert, K., meer
  • Vanaverbeke, J., meer

Abstract
    Ecosystem functions are driven by abiotic and biotic factors, but due to high collinearity of both, it is often difficult to disentangle the drivers of these ecosystem functions. We studied sedimentological and faunal controls of benthic organic matter mineralization, a crucial ecosystem process provided for by sediments of shelf seas. Subtidal benthic habitats representative of the wide permeability gradient found in the Belgian Part of the North Sea (Northeast Atlantic Shelf) were characterized in terms of sediment descriptors, macrofauna, and sediment biogeochemistry was estimated. Our results confirmed a strong correlation between sediment characteristics and macrofauna, and estimated sediment biogeochemical process rates were clearly linked to both. Results of variance partitioning and statistical modelling showed that oxic mineralization and nitrification were mainly regulated by faunal activities whereas anoxic mineralization was regulated by sediment properties, with permeability as a decisive factor. Both biotic and abiotic factors were needed to explain variability in oxygen consumption and total mineralization estimates, suggesting that macrofaunal activities have different effects across habitats. The statistical models were a useful tool to interpret the impact of anthropogenic activities in the study area and represent a step towards predicting the effects of human activities on crucial ecosystem functions.

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