Using metabolic theory to assess structure and function in the deep-sea benthos, including microbial and metazoan dominance
Using metabolic theory to assess structure and function in the deep-sea benthos, including microbial and metazoan dominance
Constraining seafloor carbon stocks and flows, and their links to biodiversity, remains a major global challenge, particularly in the deep ocean. We examine the density, biomass, respiration, and species richness size spectra of polychaetes from a time-series study (1991–2011) in the abyssal NE Pacific (Station M, 35°N, 123°W, 4000 m water depth). The spectra met the predictions of the metabolic theory of ecology (MTE) and were consistent with Damuth's rule of energetic equivalence. When combined via MTE, resource supply rate and habitat temperature have valuable predictive power for seafloor standing stocks. Intra-annual comparisons suggested seasonally variable resource acquisition rates and metabolism, consistent with the scope for specific dynamic action in polychaetes. Accepting and applying the assumptions of MTE, Damuth's rule, and 3/4-power mass-scaling of metabolism to the entire benthos, then two thirds of carbon remineralised at the seafloor might be attributable to metazoan invertebrates. This is contrary to the common finding of microbial dominance but may be resolved by considering (1) that only a fraction of microbial biomass may be metabolically active, and (2) that the metabolism of the largest members of the benthos could only be assessed at physical scales very much greater than are usually examined.
Carbon cycling, Diversity, Ecosystem modelling, Energetic equivalence, Size spectra
1-10
Laguionie Marchais, Claire
197d953c-d315-4b73-a590-6b5f4894987e
Bett, Brian J.
61342990-13be-45ae-9f5c-9540114335d9
Paterson, Gordon L.J.
89e5407e-14a9-49f8-a5ca-971e1a9cb991
Smith, Kenneth L.
c282f721-59cf-4caa-a344-f4a26f6b534c
Ruhl, Henry A.
177608ef-7793-4911-86cf-cd9960ff22b6
March 2020
Laguionie Marchais, Claire
197d953c-d315-4b73-a590-6b5f4894987e
Bett, Brian J.
61342990-13be-45ae-9f5c-9540114335d9
Paterson, Gordon L.J.
89e5407e-14a9-49f8-a5ca-971e1a9cb991
Smith, Kenneth L.
c282f721-59cf-4caa-a344-f4a26f6b534c
Ruhl, Henry A.
177608ef-7793-4911-86cf-cd9960ff22b6
Laguionie Marchais, Claire, Bett, Brian J., Paterson, Gordon L.J., Smith, Kenneth L. and Ruhl, Henry A.
(2020)
Using metabolic theory to assess structure and function in the deep-sea benthos, including microbial and metazoan dominance.
Deep Sea Research Part II: Topical Studies in Oceanography, 173, , [104762].
(doi:10.1016/j.dsr2.2020.104762).
Abstract
Constraining seafloor carbon stocks and flows, and their links to biodiversity, remains a major global challenge, particularly in the deep ocean. We examine the density, biomass, respiration, and species richness size spectra of polychaetes from a time-series study (1991–2011) in the abyssal NE Pacific (Station M, 35°N, 123°W, 4000 m water depth). The spectra met the predictions of the metabolic theory of ecology (MTE) and were consistent with Damuth's rule of energetic equivalence. When combined via MTE, resource supply rate and habitat temperature have valuable predictive power for seafloor standing stocks. Intra-annual comparisons suggested seasonally variable resource acquisition rates and metabolism, consistent with the scope for specific dynamic action in polychaetes. Accepting and applying the assumptions of MTE, Damuth's rule, and 3/4-power mass-scaling of metabolism to the entire benthos, then two thirds of carbon remineralised at the seafloor might be attributable to metazoan invertebrates. This is contrary to the common finding of microbial dominance but may be resolved by considering (1) that only a fraction of microbial biomass may be metabolically active, and (2) that the metabolism of the largest members of the benthos could only be assessed at physical scales very much greater than are usually examined.
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Accepted/In Press date: 18 February 2020
e-pub ahead of print date: 20 February 2020
Published date: March 2020
Keywords:
Carbon cycling, Diversity, Ecosystem modelling, Energetic equivalence, Size spectra
Identifiers
Local EPrints ID: 440569
URI: http://eprints.soton.ac.uk/id/eprint/440569
ISSN: 0967-0645
PURE UUID: b4624115-1381-4952-8318-8b0ad51e3ff7
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Date deposited: 07 May 2020 16:37
Last modified: 16 Mar 2024 07:43
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Contributors
Author:
Claire Laguionie Marchais
Author:
Brian J. Bett
Author:
Gordon L.J. Paterson
Author:
Kenneth L. Smith
Author:
Henry A. Ruhl
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