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Feedbacks between benthic carbon mineralisation and community structure: a simulation-model analysis Duplisea, D.E. (1998). Feedbacks between benthic carbon mineralisation and community structure: a simulation-model analysis. Ecol. Model. 110: 19-43 In: Ecological Modelling. Elsevier: Amsterdam; Lausanne; New York; Oxford; Shannon; Tokyo. ISSN 0304-3800; e-ISSN 1872-7026

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Beschikbaar in	Auteur
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Trefwoorden

Aquatic communities > Benthos > Zoobenthos Chemical compounds > Sulphur compounds > Sulphides Chemistry > Geochemistry > Sediment chemistry Composition > Community composition Cycles > Chemical cycles > Geochemical cycle > Biogeochemical cycle Ecosystems Environments > Aquatic environment > Benthic environment Mineralization Models Organic matter > Carbon > Organic carbon Oxygen consumption Sediment mixing > Bioturbation Marien/Kust

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Auteur		Top
Duplisea, D.E.

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Abstract

A simulation model was constructed as a means to establish and test causal links between organic carbon mineralisation and community structure in a generalised sublittoral, soft-bottom, infaunal, temperate, coastal, marine, benthic community. Two hypothesised positive feedbacks were explicitly included: bioturbation by macrofauna and sulphide accumulation and toxicity to aerobic organisms, that link benthic organisms and the sediment chemical environment. The magnitude and dynamics of bacterial, meiofaunal and macrofaunal biomasses, and benthic O2 consumption simulated over a seasonal regime were reasonable compared with field data. CO2 production was generally underestimated, yet within the range of published, empirical values, and the dynamics compared well with empirical data. Steady state simulations indicated a reasonable and ecologically explicable collective behaviour, such as anaerobic processes dominating total carbon mineralisation and sulphide oxidation accounting for the majority of benthic O2 consumption at high carbon input levels. Sensitivity analysis of selected model parameters indicated that the positive feedbacks of bioturbation and sulphide toxicity were more important than other selected parameters in determining the model outcome.

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