@article{fdi:010083319,
  title = {{N}ation-wide hierarchical and spatially-explicit framework to characterize seagrass meadows in {N}ew-{C}aledonia, and its potential application to the {I}ndo-{P}acific},
  author = {{A}ndr{\'e}fou{\¨e}t, {S}erge and {D}erville, {S}. and {B}uttin, {J}. and {D}irberg, {G}. and {W}abnitz, {C}. {C}. {C}. and {G}arrigue, {C}laire and {P}ayri, {C}laude},
  editor = {},
  language = {{ENG}},
  abstract = {{D}espite their ecological role and multiple contributions to human societies, the distribution of {I}ndo-{P}acific seagrasses remains poorly known in many places. {H}erein, we outline a hierarchical spatially-explicit assessment framework to derive nation-wide synoptic knowledge of the distribution of seagrass species and communities. {W}e applied the framework to {N}ew {C}aledonia (southwest {P}acific {O}cean) and its 36,200 km(2) of reefs and lagoons. {T}he framework is primarily field-based but can leverage various habitat maps derived from remote sensing. {F}ield data collection can be stratified by map products and retrospectively contribute to developing new seagrass distribution maps. {A}irborne 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. {U}sing three examples, we discuss how the hierarchical and spatial information generated from this framework's application can inform conservation and management objectives.},
  keywords = {{C}oral reefs ; {L}agoon ; {H}abitat mapping ; {R}emote sensing ; {D}ugong ; {UNESCO} ; {L}andsat ; {PACIFIQUE} ; {NOUVELLE} {CALEDONIE}},
  booktitle = {},
  journal = {{M}arine {P}ollution {B}ulletin},
  volume = {173},
  numero = {{A}},
  pages = {113036 [16 ]},
  ISSN = {0025-326{X}},
  year = {2021},
  DOI = {10.1016/j.marpolbul.2021.113036},
  URL = {https://www.documentation.ird.fr/hor/fdi:010083319},
}