Back to Search Start Over

Interregional comparison of benthic ecosystem functioning: Community bioturbation potential in four regions along the NE Atlantic shelf

Authors :
Gogina, Mayya
Zettler, Michael L.
Vanaverbeke, Jan
Dannheim, Jennifer
Van Hoey, Gert
Desroy, Nicolas
Wrede, Alexa
Reiss, Henning
Degraer, Steven
Van Lancker, Vera
Foveau, Aurelie
Braeckman, Ulrike
Fiorentino, Dario
Holstein, Jan
Birchenough, Silvana N.r.
Gogina, Mayya
Zettler, Michael L.
Vanaverbeke, Jan
Dannheim, Jennifer
Van Hoey, Gert
Desroy, Nicolas
Wrede, Alexa
Reiss, Henning
Degraer, Steven
Van Lancker, Vera
Foveau, Aurelie
Braeckman, Ulrike
Fiorentino, Dario
Holstein, Jan
Birchenough, Silvana N.r.
Source :
Ecological Indicators (1470-160X) (Elsevier BV), 2020-03 , Vol. 110 , P. 105945 (17p.)
Publication Year :
2020

Abstract

Bioturbation is one of the key mediators of biogeochemical processes in benthic habitats that can have a high contribution to seafloor functioning and benthic pelagic coupling in coastal waters. Previous studies on bioturbation were limited to point locations and extrapolations in single regions, but have not accounted for regional differences under changing environmental conditions, though there are indications that species contributions will differ across regions or with biotic and abiotic context. To capture those differences and assess global patterns and commonalities, multi-regional analyses are imperative. Here for the first time, bioturbation potential (BPc), a functional indicator of benthic community bioturbation, was estimated based on macrofauna data from four regions (i.e. German Baltic Sea, German North Sea, Belgian part of the North Sea and the Eastern English Channel). For each region and sediment type we identified key species contributing to BPc. Comparison within and across regions demonstrated regional differences, and both overlap and mismatch between species that are functionally important and those that are dominant in biomass. Knowledge on the functionally important species is crucial when management objectives include the protection of certain ecosystem functions. Available environmental layers were used as predictors to model the spatial distribution of BPc for each area and to explore the underlying drivers of differences. Random forest models were trained using as response variables either i) BPc initially calculated per station; or ii) BPp – the species-specific contribution to BPc – for key species (with subsequent summation of their predicted full-coverage distributions to BPc). Maps of BPc distribution predicted by random forest were compared with those generated using natural neighbour interpolation. Overall, derived BPc values increased towards the German parts of the North and Baltic Seas. The relevance of BPc for ecosystem process

Details

Database :
OAIster
Journal :
Ecological Indicators (1470-160X) (Elsevier BV), 2020-03 , Vol. 110 , P. 105945 (17p.)
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1286204821
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1016.j.ecolind.2019.105945