Can we detect oceanic biodiversity hotspots ...
Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
Titre :
Can we detect oceanic biodiversity hotspots from space ?
Auteur(s) :
de Monte, Silvia [Auteur]
Laboratoire Ecologie et évolution
Soccodato, Alice [Auteur]
Couplage physique-biogéochimie-carbone [PHYBIOCAR]
Alvain, Séverine [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
d'Ovidio, Francesco [Auteur]
Couplage physique-biogéochimie-carbone [PHYBIOCAR]
Laboratoire Ecologie et évolution
Soccodato, Alice [Auteur]
Couplage physique-biogéochimie-carbone [PHYBIOCAR]
Alvain, Séverine [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
d'Ovidio, Francesco [Auteur]
Couplage physique-biogéochimie-carbone [PHYBIOCAR]
Titre de la revue :
The International Society of Microbiologial Ecology Journal
Pagination :
2054–2056
Éditeur :
Nature Publishing Group
Date de publication :
2013-05-02
ISSN :
1751-7362
Discipline(s) HAL :
Planète et Univers [physics]/Sciences de la Terre/Océanographie
Résumé en anglais : [en]
Understanding the variability of marine biodiversity is a central issue in microbiology. Current observational programs are based on in situ studies, but their implementation at the global scale is particularly challenging, ...
Lire la suite >Understanding the variability of marine biodiversity is a central issue in microbiology. Current observational programs are based on in situ studies, but their implementation at the global scale is particularly challenging, owing to the ocean extent, its temporal variability and the heterogeneity of the data sources on which compilations are built. Here, we explore the possibility of identifying phytoplanktonic biodiversity hotspots from satellite. We define a Shannon entropy index based on patchiness in ocean color bio-optical anomalies. This index provides a high resolution (1 degree) global coverage. It shows a relation to temperature and mid-latitude maxima in accordance with those previously evidenced in microbiological biodiversity model and observational studies. Regional maxima are in remarkable agreement with several known biodiversity hotspots for plankton organisms and even for higher levels of the marine trophic chain, as well as with some in situ planktonic biodiversity estimates (from AMT Q1 cruises). These results encourage to explore marine biodiversity with a coordinated effort of the molecular, ecological and remote sensing communities.Lire moins >
Lire la suite >Understanding the variability of marine biodiversity is a central issue in microbiology. Current observational programs are based on in situ studies, but their implementation at the global scale is particularly challenging, owing to the ocean extent, its temporal variability and the heterogeneity of the data sources on which compilations are built. Here, we explore the possibility of identifying phytoplanktonic biodiversity hotspots from satellite. We define a Shannon entropy index based on patchiness in ocean color bio-optical anomalies. This index provides a high resolution (1 degree) global coverage. It shows a relation to temperature and mid-latitude maxima in accordance with those previously evidenced in microbiological biodiversity model and observational studies. Regional maxima are in remarkable agreement with several known biodiversity hotspots for plankton organisms and even for higher levels of the marine trophic chain, as well as with some in situ planktonic biodiversity estimates (from AMT Q1 cruises). These results encourage to explore marine biodiversity with a coordinated effort of the molecular, ecological and remote sensing communities.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Projet ANR :
Source :
Fichiers
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965306/pdf
- Accès libre
- Accéder au document
- Accès libre
- Accéder au document