The University of Southampton
University of Southampton Institutional Repository

Global biogeochemical provinces of the mesopelagic zone

Global biogeochemical provinces of the mesopelagic zone
Global biogeochemical provinces of the mesopelagic zone
Aim

Following the biogeographical approach implemented by Longhurst for the epipelagic layer, we propose here to identify a biogeochemical 3-D partition for the mesopelagic layer. The resulting partition characterizes the main deep environmental biotopes and their vertical boundaries on a global scale, which can be used as a geographical and ecological framework for conservation biology, ecosystem-based management and for the design of oceanographic investigations.
Location

The global ocean.

Methods

Based on the most comprehensive environmental climatology available to date, which is both spatially and vertically resolved (seven environmental parameters), we applied a combination of clustering algorithms (c-means, k-means, partition around medoids and agglomerative with Ward's linkage) associated with a nonparametric environmental model to identify the vertical and spatial delineation of the mesopelagic layer.

Results

First, we show via numerical interpretation that the vertical division of the pelagic zone varies and, hence, is not constant throughout the global ocean. Indeed, a latitudinal gradient is found between the epipelagic–mesopelagic and mesopelagic–bathypelagic vertical limits. Second, the mesopelagic layer is shown here to be composed of 13 distinguishable Biogeochemical Provinces. Each province shows a distinct range of environmental conditions and characteristic 3-D distributions.

Main conclusions

The historical definition of the mesopelagic zone is here revisited to define a 3-D geographical framework and characterize all the deep environmental biotopes of the deep global ocean. According to the numerical interpretation of mesopelagic boundaries, we reveal that the vertical division of the zone is not constant over the global ocean (200–1,000 m) but varies between ocean basin and with latitude. We also provide evidence of biogeochemical division of the mesopelagic zone that is spatially structured in a similar way than the epipelagic in the shallow waters but varies in the deep owing to a change of the environmental driving factors.
0305-0270
500-514
Reygondeau, Gabriel
76140d67-7bc7-4e5d-b4c0-e6a18889d5f6
Guidi, Lionel
ccca7f9a-a7e6-4ce5-8dd7-e89b56a254b2
Beaugrand, Gregory
a218b300-9b92-4a9d-971a-b0c36bbb7203
Henson, Stephanie A.
d6532e17-a65b-4d7b-9ee3-755ecb565c19
Koubbi, Philippe
0df0472f-50ab-4ba9-a4d7-2b5dbd6da0ac
Mackenzie, Brian R.
4c97595e-7828-4b96-acab-49f602e93ebb
Sutton, Tracey T.
0e31d5b1-ca34-4053-9cb7-891fb01360f1
Fioroni, Martine
75655f56-849f-4854-a4dc-b786f158d8e7
Maury, Olivier
bf059bd4-9192-4bd6-ad92-d70286166e6e
Reygondeau, Gabriel
76140d67-7bc7-4e5d-b4c0-e6a18889d5f6
Guidi, Lionel
ccca7f9a-a7e6-4ce5-8dd7-e89b56a254b2
Beaugrand, Gregory
a218b300-9b92-4a9d-971a-b0c36bbb7203
Henson, Stephanie A.
d6532e17-a65b-4d7b-9ee3-755ecb565c19
Koubbi, Philippe
0df0472f-50ab-4ba9-a4d7-2b5dbd6da0ac
Mackenzie, Brian R.
4c97595e-7828-4b96-acab-49f602e93ebb
Sutton, Tracey T.
0e31d5b1-ca34-4053-9cb7-891fb01360f1
Fioroni, Martine
75655f56-849f-4854-a4dc-b786f158d8e7
Maury, Olivier
bf059bd4-9192-4bd6-ad92-d70286166e6e

Reygondeau, Gabriel, Guidi, Lionel, Beaugrand, Gregory, Henson, Stephanie A., Koubbi, Philippe, Mackenzie, Brian R., Sutton, Tracey T., Fioroni, Martine and Maury, Olivier (2018) Global biogeochemical provinces of the mesopelagic zone. Journal of Biogeography, 45 (2), 500-514. (doi:10.1111/jbi.13149).

Record type: Article

Abstract

Aim

Following the biogeographical approach implemented by Longhurst for the epipelagic layer, we propose here to identify a biogeochemical 3-D partition for the mesopelagic layer. The resulting partition characterizes the main deep environmental biotopes and their vertical boundaries on a global scale, which can be used as a geographical and ecological framework for conservation biology, ecosystem-based management and for the design of oceanographic investigations.
Location

The global ocean.

Methods

Based on the most comprehensive environmental climatology available to date, which is both spatially and vertically resolved (seven environmental parameters), we applied a combination of clustering algorithms (c-means, k-means, partition around medoids and agglomerative with Ward's linkage) associated with a nonparametric environmental model to identify the vertical and spatial delineation of the mesopelagic layer.

Results

First, we show via numerical interpretation that the vertical division of the pelagic zone varies and, hence, is not constant throughout the global ocean. Indeed, a latitudinal gradient is found between the epipelagic–mesopelagic and mesopelagic–bathypelagic vertical limits. Second, the mesopelagic layer is shown here to be composed of 13 distinguishable Biogeochemical Provinces. Each province shows a distinct range of environmental conditions and characteristic 3-D distributions.

Main conclusions

The historical definition of the mesopelagic zone is here revisited to define a 3-D geographical framework and characterize all the deep environmental biotopes of the deep global ocean. According to the numerical interpretation of mesopelagic boundaries, we reveal that the vertical division of the zone is not constant over the global ocean (200–1,000 m) but varies between ocean basin and with latitude. We also provide evidence of biogeochemical division of the mesopelagic zone that is spatially structured in a similar way than the epipelagic in the shallow waters but varies in the deep owing to a change of the environmental driving factors.

This record has no associated files available for download.

More information

e-pub ahead of print date: 15 December 2017
Published date: 1 February 2018

Identifiers

Local EPrints ID: 418233
URI: http://eprints.soton.ac.uk/id/eprint/418233
ISSN: 0305-0270
PURE UUID: 5efcfc30-c129-44f6-a66f-52b27dc4c7da

Catalogue record

Date deposited: 26 Feb 2018 17:30
Last modified: 15 Mar 2024 18:40

Export record

Altmetrics

Contributors

Author: Gabriel Reygondeau
Author: Lionel Guidi
Author: Gregory Beaugrand
Author: Philippe Koubbi
Author: Brian R. Mackenzie
Author: Tracey T. Sutton
Author: Martine Fioroni
Author: Olivier Maury

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×