Published November 11, 2025 | Version v1
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Testing biodiversity-ecosystem function relations in nearshore marine sediments

  • 1. Memorial University of Newfoundland
  • 2. University of Victoria

Description

Rapid biodiversity loss is raising concerns about potential declines in the functioning of Earth's ecosystems. Although decades of research explore biodiversity-ecosystem function (BEF) relations, empirical BEF assessments have lagged behind theoretical advances, particularly in marine benthic systems. Here, we incubate intact sediment push cores to examine the relationship between macroinfaunal community composition and benthic nutrient cycling in three nearshore sub-Arctic sites. First, we quantitatively assess potential effects of taxonomic and functional diversity, as well as community-weighted trait means, on oxygen and nutrient fluxes. Second, we examine fluxes in relation to macrofaunal abundance, oxygen consumption (a proxy for total core metabolism), and abundance of key functional groups, to test fundamental expectations based on ecological theory. We report distinct macrofaunal communities and contrasting benthic fluxes among sites, with oxygen and ammonium largely driving multivariate inter-site flux differences. Diversity indices and community-weighted trait means collectively explained ~76% of the variation in multivariate fluxes but provided little insight into the mechanistic links between diversity and functioning. In fact, we find that total macrofaunal abundance was the key driver of benthic fluxes at our sites, rather than functional community composition, which may have important implications for coastal conservation planning. Overall, our findings emphasize the highly context-dependent nature of BEF relationships and highlight the need to improve empirical understanding of these patterns in complex, natural ecosystems.

Notes

Funding provided by: Ocean Frontier Institute
ROR ID: https://ror.org/048py7387
Award Number:

Funding provided by: Natural Sciences and Engineering Research Council
ROR ID: https://ror.org/01h531d29
Award Number: CGS-M

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Related works

Is source of
10.5061/dryad.j3tx95xqz (DOI)