Traits and drivers: Functioning of macrobenthic communities across the deep Fram Strait (Arctic Ocean)

Deep-sea regions provide vast ecosystem services such as biological habitat and nutrient cycling. Even though being threatened by climate change and facing possible biodiversity loss, these deep-sea ecosystems are poorly understood. So are macrobenthic communities and their functions within these ec...

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Autores principales: Melissa Käß, Margarita Chikina, Andrey Vedenin, Santiago E.A. Pineda-Metz, Thomas Soltwedel
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Publicado: Elsevier 2021
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spelling oai:doaj.org-article:fe0b59e65dd44b549cb272d7e486cc6f2021-12-01T04:42:42ZTraits and drivers: Functioning of macrobenthic communities across the deep Fram Strait (Arctic Ocean)1470-160X10.1016/j.ecolind.2020.107324https://doaj.org/article/fe0b59e65dd44b549cb272d7e486cc6f2021-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20312668https://doaj.org/toc/1470-160XDeep-sea regions provide vast ecosystem services such as biological habitat and nutrient cycling. Even though being threatened by climate change and facing possible biodiversity loss, these deep-sea ecosystems are poorly understood. So are macrobenthic communities and their functions within these ecosystems. Biodiversity and ecosystem function relationships as well as their link to environmental drivers can be assessed with the biological trait analysis. We used this approach for the first time for macrofauna assemblages across the deep Fram Strait between Greenland and Svalbard (1000–5500 m water depth) to evaluate their community-specific function from the upper continental slope down to the deepest known Arctic depression, the Molloy Deep. We aimed to investigate whether there are changes in benthic functioning along the bathymetric gradient and if so, which environmental stressors may drive these changes.In total, 16 stations were sampled with a giant box corer (0.25 m2) in 2016 and 2018. Sediments were sieved through a 0.5 mm mesh size sieve and fauna was identified to lowest possible taxonomic entity. Functions of species were characterized by using six traits split in 24 modalities gathered in a fuzzy coded species × traits array. Environmental parameters shaping the benthic habitat and reflecting food availability were gathered from remote sensing, mooring deployments, and sediment sampling.A distance-based redundancy analysis indicated near-bottom water temperature, seabed inclination, water depth as well as phytodetritial matter at the sea surface and seafloor (indicating food availability) to be the best variables explaining the trait and station distribution. Stations clustered into three groups based on their trait composition. Shallower stations characterized by high chlorophyll a concentration with large organisms, living within the sediment as well as predating specimens clustered in one group. A second group was characterized by stations with low chlorophyll a concentration and medium-sized, suspension feeding, epifaunal living macrofauna. A third group comprised stations with water depths ≥ 3000 m and was dominated by medium sized, surface deposit feeding and infaunal living specimens.Overall, the functional structure of macrofauna communities in the Fram Strait followed a food availability-driven gradient. Based on the relationship between sea ice, surface water primary production and food availability at the seafloor, these results point to macrobenthos being sensible to predicted anthropogenically generated environmental variations in polar regions. Alterations in benthic ecosystem functions might be expected when environmental conditions change.Melissa KäßMargarita ChikinaAndrey VedeninSantiago E.A. Pineda-MetzThomas SoltwedelElsevierarticleBiological trait analysis (BTA)Ecological functionDeep SeaMacrofaunaLong-Term Ecological Research (LTER)HAUSGARTENEcologyQH540-549.5ENEcological Indicators, Vol 123, Iss , Pp 107324- (2021)
institution DOAJ
collection DOAJ
language EN
topic Biological trait analysis (BTA)
Ecological function
Deep Sea
Macrofauna
Long-Term Ecological Research (LTER)
HAUSGARTEN
Ecology
QH540-549.5
spellingShingle Biological trait analysis (BTA)
Ecological function
Deep Sea
Macrofauna
Long-Term Ecological Research (LTER)
HAUSGARTEN
Ecology
QH540-549.5
Melissa Käß
Margarita Chikina
Andrey Vedenin
Santiago E.A. Pineda-Metz
Thomas Soltwedel
Traits and drivers: Functioning of macrobenthic communities across the deep Fram Strait (Arctic Ocean)
description Deep-sea regions provide vast ecosystem services such as biological habitat and nutrient cycling. Even though being threatened by climate change and facing possible biodiversity loss, these deep-sea ecosystems are poorly understood. So are macrobenthic communities and their functions within these ecosystems. Biodiversity and ecosystem function relationships as well as their link to environmental drivers can be assessed with the biological trait analysis. We used this approach for the first time for macrofauna assemblages across the deep Fram Strait between Greenland and Svalbard (1000–5500 m water depth) to evaluate their community-specific function from the upper continental slope down to the deepest known Arctic depression, the Molloy Deep. We aimed to investigate whether there are changes in benthic functioning along the bathymetric gradient and if so, which environmental stressors may drive these changes.In total, 16 stations were sampled with a giant box corer (0.25 m2) in 2016 and 2018. Sediments were sieved through a 0.5 mm mesh size sieve and fauna was identified to lowest possible taxonomic entity. Functions of species were characterized by using six traits split in 24 modalities gathered in a fuzzy coded species × traits array. Environmental parameters shaping the benthic habitat and reflecting food availability were gathered from remote sensing, mooring deployments, and sediment sampling.A distance-based redundancy analysis indicated near-bottom water temperature, seabed inclination, water depth as well as phytodetritial matter at the sea surface and seafloor (indicating food availability) to be the best variables explaining the trait and station distribution. Stations clustered into three groups based on their trait composition. Shallower stations characterized by high chlorophyll a concentration with large organisms, living within the sediment as well as predating specimens clustered in one group. A second group was characterized by stations with low chlorophyll a concentration and medium-sized, suspension feeding, epifaunal living macrofauna. A third group comprised stations with water depths ≥ 3000 m and was dominated by medium sized, surface deposit feeding and infaunal living specimens.Overall, the functional structure of macrofauna communities in the Fram Strait followed a food availability-driven gradient. Based on the relationship between sea ice, surface water primary production and food availability at the seafloor, these results point to macrobenthos being sensible to predicted anthropogenically generated environmental variations in polar regions. Alterations in benthic ecosystem functions might be expected when environmental conditions change.
format article
author Melissa Käß
Margarita Chikina
Andrey Vedenin
Santiago E.A. Pineda-Metz
Thomas Soltwedel
author_facet Melissa Käß
Margarita Chikina
Andrey Vedenin
Santiago E.A. Pineda-Metz
Thomas Soltwedel
author_sort Melissa Käß
title Traits and drivers: Functioning of macrobenthic communities across the deep Fram Strait (Arctic Ocean)
title_short Traits and drivers: Functioning of macrobenthic communities across the deep Fram Strait (Arctic Ocean)
title_full Traits and drivers: Functioning of macrobenthic communities across the deep Fram Strait (Arctic Ocean)
title_fullStr Traits and drivers: Functioning of macrobenthic communities across the deep Fram Strait (Arctic Ocean)
title_full_unstemmed Traits and drivers: Functioning of macrobenthic communities across the deep Fram Strait (Arctic Ocean)
title_sort traits and drivers: functioning of macrobenthic communities across the deep fram strait (arctic ocean)
publisher Elsevier
publishDate 2021
url https://doaj.org/article/fe0b59e65dd44b549cb272d7e486cc6f
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