Dynamic biogeochemical provinces in the global ocena

Reygondeau, Gabriel; Longhurst, Alan; Martinez, Elodie; Beaugrand, Gregory; Antoine, David; Maury, Olivier

Document type :

Article dans une revue scientifique

DOI :

10.1002/gbc.20089

Title :

Dynamic biogeochemical provinces in the global ocena

Author(s) :

Reygondeau, Gabriel [Auteur]
UMR 212 EME "écosystèmes marins exploités" [EME]
Longhurst, Alan [Auteur]
Martinez, Elodie [Auteur]
Laboratoire d'océanographie de Villefranche [LOV]
Beaugrand, Gregory [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Antoine, David [Auteur]
Laboratoire d'océanographie de Villefranche [LOV]
Maury, Olivier [Auteur]
UMR 212 EME "écosystèmes marins exploités" [EME]

Journal title :

GLOBAL BIOGEOCHEMICAL CYCLES

Pages :

1046-1058

Publisher :

American Geophysical Union

Publication date :

2013-12

ISSN :

0886-6236

HAL domain(s) :

Planète et Univers [physics]/Sciences de la Terre/Océanographie

English abstract : [en]

[1] In recent decades, it has been found useful to partition the pelagic environment using the concept of biogeochemical provinces, or BGCPs, within each of which it is assumed that environmental conditions are distinguishable ...
Show more >[1] In recent decades, it has been found useful to partition the pelagic environment using the concept of biogeochemical provinces, or BGCPs, within each of which it is assumed that environmental conditions are distinguishable and unique at global scale. The boundaries between provinces respond to features of physical oceanography and, ideally, should follow seasonal and interannual changes in ocean dynamics. But this ideal has not been fulfilled except for small regions of the oceans. Moreover, BGCPs have been used only as static entities having boundaries that were originally established to compute global primary production. In the present study, a new statistical methodology based on non-parametric procedures is implemented to capture the environmental characteristics within 56 BGCPs. Four main environmental parameters (bathymetry, chlorophyll a concentration, surface temperature, and salinity) are used to infer the spatial distribution of each BGCP over 1997-2007. The resulting dynamic partition allows us to integrate changes in the distribution of BGCPs at seasonal and interannual timescales, and so introduces the possibility of detecting spatial shifts in environmental conditionsShow less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Laboratoire d'Océanologie et de Géosciences (LOG) - UMR 8187

Source :

Harvested from HAL

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