Horizon / Plein textes La base de ressources documentaires de l'IRD



Publications des scientifiques de l'IRD

Mellin C., Parrott L., Andréfouët Serge, Bradshaw C. J. A., MacNeil M. A., Caley M. J. (2012). Multi-scale marine biodiversity patterns inferred efficiently from habitat image processing. Ecological Applications, 22 (3), 792-803. ISSN 1051-0761

Accès réservé (Intranet IRD) Demander le PDF

Lien direct chez l'éditeur doi:10.1890/11-2105.1

Multi-scale marine biodiversity patterns inferred efficiently from habitat image processing
Année de publication2012
Type de documentArticle référencé dans le Web of Science WOS:000303312000005
AuteursMellin C., Parrott L., Andréfouët Serge, Bradshaw C. J. A., MacNeil M. A., Caley M. J.
SourceEcological Applications, 2012, 22 (3), p. 792-803. ISSN 1051-0761
RésuméCost-effective proxies of biodiversity and species abundance, applicable across a range of spatial scales, are needed for setting conservation priorities and planning action. We outline a rapid, efficient, and low-cost measure of spectral signal from digital habitat images that, being an effective proxy for habitat complexity, correlates with species diversity and requires little image processing or interpretation. We validated this method for coral reefs of the Great Barrier Reef (GBR), Australia, across a range of spatial scales (1 m to 10 km), using digital photographs of benthic communities at the transect scale and high-resolution Landsat satellite images at the reef scale. We calculated an index of image-derived spatial heterogeneity, the mean information gain (MIG), for each scale and related it to univariate (species richness and total abundance summed across species) and multivariate (species abundance matrix) measures of fish community structure, using two techniques that account for the hierarchical structure of the data: hierarchical (mixed-effect) linear models and distance-based partial redundancy analysis. Over the length and breadth of the GBR, MIG alone explained up to 29% of deviance in fish species richness, 33% in total fish abundance, and 25% in fish community structure at multiple scales, thus demonstrating the possibility of easily and rapidly exploiting spatial information contained in digital images to complement existing methods for inferring diversity and abundance patterns among fish communities. Thus, the spectral signal of unprocessed remotely sensed images provides an efficient and low-cost way to optimize the design of surveys used in conservation planning. In data-sparse situations, this simple approach also offers a viable method for rapid assessment of potential local biodiversity, particularly where there is little local capacity in terms of skills or resources for mounting in-depth biodiversity surveys.
Plan de classementEcologie, systèmes aquatiques [036] ; Limnologie biologique / Océanographie biologique [034] ; Télédétection [126]
LocalisationFonds IRD [F B010055864]
Identifiant IRDfdi:010055864
Lien permanenthttp://www.documentation.ird.fr/hor/fdi:010055864

Export des données

Disponibilité des documents

Télechargment fichier PDF téléchargeable

Lien sur le Web lien chez l'éditeur

Accès réservé en accès réservé

HAL en libre accès sur HAL

Accès aux documents originaux :

Le FDI est labellisé CollEx

Accès direct

Bureau du chercheur

Site de la documentation

Espace intranet IST (accès réservé)

Suivi des publications IRD (accès réservé)

Mentions légales

Services Horizon

Poser une question

Consulter l'aide en ligne

Déposer une publication (accès réservé)

S'abonner au flux RSS

Voir les tableaux chronologiques et thématiques

Centres de documentation


Montpellier (centre IRD)

Montpellier (MSE)









La Paz