Nation-wide hierarchical and spatially-explicit framework to characterize seagrass meadows in New-Caledonia, and its potential application to the Indo-Pacific

Type Article
Date 2021-12
Language English
Author(s) Andréfouet Serge1, Derville Solène1, Buttin Julie1, Dirberg Guillaume2, Wabnitz Colette C.C.3, 4, Garrigue Claire1, Payri Claude E.1
Affiliation(s) 1 : UMR-9220 ENTROPIE (Institut de Recherche pour le Développement, Université de la Réunion, Ifremer, CNRS, Université de la Nouvelle-Calédonie), 101, promenade Roger-Laroque Anse Vata, BP A5, 98848 Noumea, New Caledonia
2 : Muséum National d'Histoire Naturelle, UMR BOREA 7208 CNRS-UCN-UA-IRD, Paris, France
3 : Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, B.C. V6T 1Z4, Canada
4 : Stanford Center for Ocean Solutions, Stanford University, Stanford, CA 94305, United States
Source Marine Pollution Bulletin (0025-326X) (Elsevier BV), 2021-12 , Vol. 173 , N. Part. A , P. 113036 (16p.)
DOI 10.1016/j.marpolbul.2021.113036
WOS© Times Cited 5
Keyword(s) Coral reefs, Lagoon, Habitat mapping, Remote sensing, Dugong, UNESCO, Landsat
Abstract

Despite their ecological role and multiple contributions to human societies, the distribution of Indo-Pacific seagrasses remains poorly known in many places. Herein, we outline a hierarchical spatially-explicit assessment framework to derive nation-wide synoptic knowledge of the distribution of seagrass species and communities. We applied the framework to New Caledonia (southwest Pacific Ocean) and its 36,200 km2 of reefs and lagoons. The framework is primarily field-based but can leverage various habitat maps derived from remote sensing. Field data collection can be stratified by map products and retrospectively contribute to developing new seagrass distribution maps. Airborne and satellite remote sensing alone do not allow for the spatial generalisation of the finest attributes (species distribution and types of seagrass beds), but staged stratified field sampling provides synoptic views of these attributes. Using three examples, we discuss how the hierarchical and spatial information generated from this framework's application can inform conservation and management objectives.

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Andréfouet Serge, Derville Solène, Buttin Julie, Dirberg Guillaume, Wabnitz Colette C.C., Garrigue Claire, Payri Claude E. (2021). Nation-wide hierarchical and spatially-explicit framework to characterize seagrass meadows in New-Caledonia, and its potential application to the Indo-Pacific. Marine Pollution Bulletin, 173(Part. A), 113036 (16p.). Publisher's official version : https://doi.org/10.1016/j.marpolbul.2021.113036 , Open Access version : https://archimer.ifremer.fr/doc/00729/84090/