@article{fdi:010044204,
  title = {{D}iversity, biomass and distribution pattern of {S}argassum beds in the {S}outh {W}est lagoon of {N}ew {C}aledonia ({S}outh {P}acific)},
  author = {{M}attio, {L}. and {D}irberg, {G}. and {P}ayri, {C}laude and {A}ndr{\'e}fou{\¨e}t, {S}erge},
  editor = {},
  language = {{ENG}},
  abstract = {{S}argassum ({P}haeophyceae, {F}ucales) is a genus of worldwide distribution recently recognised to proliferate in several regions of the {S}outh {P}acific. {I}n {N}ew {C}aledonia, species of this genus naturally structure one of the major lagoon habitats but their extent, composition and biomass remain largely unknown. {T}o fill these gaps in our knowledge over large areas, we applied a combination of remote sensing and in situ methods applied to the {N}eo {C}aledonian {S}outh {W}est {L}agoon. {S}pace borne high resolution {L}andsat (30-m resolution) and {Q}uickbird (2.4-m resolution) images of the {N}eo {C}aledonian {S}outh {W}est lagoon were used to estimate the spatial extent of the different beds of interest. {S}pecies composition was determined for 11 {S}argassum beds and seasonal variations were investigated for four representative beds over an 18 month period using quadrats and transects. {R}elationships between surface cover and biomass were estimated from seasonal field data sets. {F}inally, four methods requiring variable levels of sampling effort were designed to estimate the total biomass at the scale of each bed, considering (or not) the specific composition, and spatial and temporal variations. {S}even {S}argassaceae species were identified. {M}ean surface cover (24.4-51.6%) and total biomass [3.4-1,461.9 t dry matter ({DM})] varied widely between beds. {O}verall, biomass temporal variations were not significantly different, but species-level variations seemed to be bed-specific. {T}he extent of the 11 beds was 9 km(2); their total biomass was estimated and compared using each of the four methods, and the most precise method provided an estimate of 2,900 t {DM}. {T}his study demonstrates a way of characterising {S}argassum beds, efficiently and on a large scale, using a combination of remotely sensed and in situ data. {T}hese methods should be useful for possible future biomonitoring of {S}argassum beds in {N}ew {C}aledonia, and in other areas worldwide.},
  keywords = {{L}arge brown algae ; {S}argassaceae ; {R}emote sensing ; {H}abitat management ; {C}oral reef},
  booktitle = {},
  journal = {{J}ournal of {A}pplied {P}hycology},
  volume = {20},
  numero = {5},
  pages = {811--823},
  ISSN = {0921-8971},
  year = {2008},
  DOI = {10.1007/s10811-008-9318-4},
  URL = {https://www.documentation.ird.fr/hor/fdi:010044204},
}