Differences in recovery between deep-sea hydrothermal vent and vent-proximate communities after a volcanic eruption

Gollner, Sabine; Govenar, Breea; Arbizu, Pedro Martínez; Mills, Susan W.; Bris, Nadine Le; Weinbauer, Markus G.; Shank, Timothy M.; Bright, Monika

doi:10.1016/j.dsr.2015.10.008

Cited by 42 publications

(78 citation statements)

References 44 publications

(77 reference statements)

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“…They were mainly observed in cold habitats, suggesting that these habitats are either more suitable for mussel growth during their youngest stages and/or that warmer habitats are relatively hostile for juvenile survival. Similarly, Gollner et al (2015a) reported higher densities of juveniles on basalts, suggesting increasing energy requirements with growth, and migration to warmer habitats.…”

Section: Niche Of Bathymodiolus Azoricusmentioning

confidence: 92%

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Picturing thermal niches and biomass of hydrothermal vent species

Husson¹,

Sarradin²,

Zeppilli³

et al. 2017

Deep Sea Research Part II: Topical Studies in Oceanography

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In community ecology, niche analysis is a classic tool for investigating species' distribution and dynamics. Components of a species' niche include biotic and abiotic factors.In the hydrothermal vent ecosystem, although composition and temporal variation have been investigated since these deep-sea habitats were discovered nearly 40 years ago, the roles and the factors behind the success of the dominant species of these ecosystems have yet to be fully elucidated. In the Lucky Strike vent field on the Mid Atlantic Ridge (MAR), the dominant species is the mussel Bathymodiolus azoricus. Data on this species and its associated community were collected during four oceanographic cruises on the Eiffel Tower edifice and integrated in a novel statistical framework for niche analysis. We assessed the thermal range, density, biomass and niche similarities of B. azoricus and its associated fauna.Habitat similarities grouped mussels into three size categories: mussels with lengths ranging from 0.5 to 1.5 cm, from 1.5 to 6 cm, and mussels longer than 6 cm. These size categories were consistent with those found in previous studies based on video imagery. The three size categories featured different associated fauna. The thermal range of mussels was shown to change with organism size, with intermediate sizes having a broader thermal niche than small or large mussels. Temperature maxima seem to drive their distribution along the mixing gradient between warm hydrothermal fluids and cold seawater. B. azoricus constitutes nearly 90% of the biomass (in g dry weight /m²) of the ecosystem. Mean individual weights were calculated for 39 of the 79 known taxa on Eiffel Tower and thermal ranges were obtained for all the inventoried species of this edifice. The analysis showed that temperature is a suitable variable to describe density variations among samples for 71 taxa. However, thermal conditions do not suffice to explain biomass variability. Our results provide valuable insight into mussel ecology, biotic interactions and the role of B. azoricus in the community.

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Section: Niche Of Bathymodiolus Azoricusmentioning

confidence: 92%

“…Species assemblage distribution and composition also rely on the succession of species that occurs during the colonising processes after disturbance (e.g. Shank et al 1998, Mullineaux et al 2010, Gaudron et al 2012, Sen et al 2014, Gollner et al 2015a. Observed successional patterns include both facilitation and inhibition phenomena (e.g.…”

Section: Introductionmentioning

confidence: 99%

Picturing thermal niches and biomass of hydrothermal vent species

Husson¹,

Sarradin²,

Zeppilli³

et al. 2017

Deep Sea Research Part II: Topical Studies in Oceanography

View full text Add to dashboard Cite

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“…The mussels are slower to get established, but once they reach adult size and high densities, may reduce the hydrogen sulfide available for tubeworms. Also within 5 years, the macrofauna and meiofauna had reached 40-70% of their pre-eruption species richness (Shank et al, 1998;Gollner et al, 2015). Following the 2006 eruption, both the macrofaunal and meiofaunal communities showed a shift in species composition over time (Mullineaux et al, , 2012Gollner et al, 2015).…”

Section: Regional and Local Influences On Successionmentioning

confidence: 99%

“…At fast-spreading centers, hydrothermal fluid flux typically wanes within a few years after an eruption (Shank et al, 1998;Le Bris et al, 2006) and species diversity tends to increase (Mullineaux et al, 2012;Gollner et al, 2015). Under these conditions, it can be difficult to distinguish between effects of changing environmental conditions and biological succession.…”

Section: Regional and Local Influences On Successionmentioning

confidence: 99%

“…Inhibition by grazing or predation was more prominent in areas of high fluid flux, productivity, and faunal densities, whilst facilitation was stronger in areas of low temperatures, productivity, and densities (Micheli et al, 2002;Mullineaux et al, 2003). Competitive exclusion or changes in larval supply may have led, for example, to replacement of the pioneer limpet Lepetodrilus tevnianus by its congener L. elevatus unrelated to changes in fluid flow (Mullineaux et al, 2012;Gollner et al, 2015).…”

Section: Regional and Local Influences On Successionmentioning

confidence: 99%

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Exploring the Ecology of Deep-Sea Hydrothermal Vents in a Metacommunity Framework

et al. 2018

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Species inhabiting deep-sea hydrothermal vents are strongly influenced by the geological setting, as it provides the chemical-rich fluids supporting the food web, creates the patchwork of seafloor habitat, and generates catastrophic disturbances that can eradicate entire communities. The patches of vent habitat host a network of communities (a metacommunity) connected by dispersal of planktonic larvae. The dynamics of the metacommunity are influenced not only by birth rates, death rates and interactions of populations at the local site, but also by regional influences on dispersal from different sites. The connections to other communities provide a mechanism for dynamics at a local site to affect features of the regional biota. In this paper, we explore the challenges and potential benefits of applying metacommunity theory to vent communities, with a particular focus on effects of disturbance. We synthesize field observations to inform models and identify data gaps that need to be addressed to answer key questions including: (1) what is the influence of the magnitude and rate of disturbance on ecological attributes, such as time to extinction or resilience in a metacommunity; (2) what interactions between local and regional processes control species diversity, and (3) which communities are "hot spots" of key ecological significance. We conclude by assessing our ability to evaluate resilience of vent metacommunities to human disturbance (e.g., deep-sea mining). Although the resilience of a few highly disturbed vent systems in the eastern Pacific has been quantified, these values cannot be generalized to remote locales in the western Pacific or mid Atlantic where disturbance rates are different and information on local controls is missing.

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High environmental stress and productivity increase functional diversity along a deep‐sea hydrothermal vent gradient

Alfaro-Lucas

Pradillon

Zeppilli

et al. 2020

Ecology

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Productivity and environmental stress are major drivers of multiple biodiversity facets and faunal community structure. Little is known on their interacting effects on early community assembly processes in the deep sea (>200 m), the largest environment on Earth. However, at hydrothermal vents productivity correlates, at least partially, with environmental stress. Here, we studied the colonization of rock substrata deployed along a deep‐sea hydrothermal vent gradient at four sites with and without direct influence of vent fluids at 1,700‐m depth in the Lucky Strike vent field (Mid‐Atlantic Ridge [MAR]). We examined in detail the composition of faunal communities (>20 μm) established after 2 yr and evaluated species and functional patterns. We expected the stressful hydrothermal activity to (1) limit functional diversity and (2) filter for traits clustering functionally similar species. However, our observations did not support our hypotheses. On the contrary, our results show that hydrothermal activity enhanced functional diversity. Moreover, despite high species diversity, environmental conditions at surrounding sites appear to filter for specific traits, thereby reducing functional richness. In fact, diversity in ecological functions may relax the effect of competition, allowing several species to coexist in high densities in the reduced space of the highly productive vent habitats under direct fluid emissions. We suggest that the high productivity at fluid‐influenced sites supports higher functional diversity and traits that are more energetically expensive. The presence of exclusive species and functional entities led to a high turnover between surrounding sites. As a result, some of these sites contributed more than expected to the total species and functional β diversities. The observed faunal overlap and energy links (exported productivity) suggest that rather than operating as separate entities, habitats with and without influence of hydrothermal fluids may be considered as interconnected entities. Low functional richness and environmental filtering suggest that surrounding areas, with their very heterogeneous species and functional assemblages, may be especially vulnerable to environmental changes related to natural and anthropogenic impacts, including deep‐sea mining.

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Differences in recovery between deep-sea hydrothermal vent and vent-proximate communities after a volcanic eruption

Cited by 42 publications

References 44 publications

Picturing thermal niches and biomass of hydrothermal vent species

Picturing thermal niches and biomass of hydrothermal vent species

Exploring the Ecology of Deep-Sea Hydrothermal Vents in a Metacommunity Framework

High environmental stress and productivity increase functional diversity along a deep‐sea hydrothermal vent gradient

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