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Spatial modelling of benthic cover using remote sensing data in the Aldabra lagoon, western Indian Ocean

Journal Article


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Abstract


  • Spatially explicit ecological modelling was used to predict the distribution of 4 benthic

    components (live coral, carbonate sand, macroalgae and dead coral) inside the Aldabra lagoon,

    southern Seychelles, western Indian Ocean. Both classic ordinary least-squares and spatial autoregression

    techniques were carried out on a field data set of 774 spatially referenced records and 3

    satellite remote sensing images to define an empirical relationship between local environmental

    conditions (water depth and water level variation) and benthic cover. This relationship was then

    used to generate a synoptic model of the spatial cover and distribution of each benthic component at

    the landscape (i.e. whole lagoon) scale. Environmental conditions were estimated from satellite remote

    sensing data (water depth) and using GIS techniques (water level variation). By drawing on

    species−environment relationships applicable to many lagoons, continuous records of percentage

    benthic cover were derived for the extensive lagoon (174 km2) at a high measurement level (ratio)

    for use in conservation and resource management applications. The transition from the ordinary

    least-squares model to the spatially lagged model was accompanied by a marked growth in predictive

    power (R2 = 0.25 to 0.79), indicating that neighbourhood context interactions play an important

    role in determining benthic cover of the Aldabra lagoon.

UOW Authors


  •   Hamylton, Sarah
  •   Spencer, Tom (external author)
  •   Hagan, A (external author)

Publication Date


  • 2012

Citation


  • Hamylton, S., Spencer, T. & Hagan, A. (2012). Spatial modelling of benthic cover using remote sensing data in the Aldabra lagoon, western Indian Ocean. Marine Ecology: Progress Series, 460 (July 24), 35-47.

Scopus Eid


  • 2-s2.0-84864360345

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=7612&context=scipapers

Ro Metadata Url


  • http://ro.uow.edu.au/scipapers/4270

Number Of Pages


  • 12

Start Page


  • 35

End Page


  • 47

Volume


  • 460

Issue


  • July 24

Abstract


  • Spatially explicit ecological modelling was used to predict the distribution of 4 benthic

    components (live coral, carbonate sand, macroalgae and dead coral) inside the Aldabra lagoon,

    southern Seychelles, western Indian Ocean. Both classic ordinary least-squares and spatial autoregression

    techniques were carried out on a field data set of 774 spatially referenced records and 3

    satellite remote sensing images to define an empirical relationship between local environmental

    conditions (water depth and water level variation) and benthic cover. This relationship was then

    used to generate a synoptic model of the spatial cover and distribution of each benthic component at

    the landscape (i.e. whole lagoon) scale. Environmental conditions were estimated from satellite remote

    sensing data (water depth) and using GIS techniques (water level variation). By drawing on

    species−environment relationships applicable to many lagoons, continuous records of percentage

    benthic cover were derived for the extensive lagoon (174 km2) at a high measurement level (ratio)

    for use in conservation and resource management applications. The transition from the ordinary

    least-squares model to the spatially lagged model was accompanied by a marked growth in predictive

    power (R2 = 0.25 to 0.79), indicating that neighbourhood context interactions play an important

    role in determining benthic cover of the Aldabra lagoon.

UOW Authors


  •   Hamylton, Sarah
  •   Spencer, Tom (external author)
  •   Hagan, A (external author)

Publication Date


  • 2012

Citation


  • Hamylton, S., Spencer, T. & Hagan, A. (2012). Spatial modelling of benthic cover using remote sensing data in the Aldabra lagoon, western Indian Ocean. Marine Ecology: Progress Series, 460 (July 24), 35-47.

Scopus Eid


  • 2-s2.0-84864360345

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=7612&context=scipapers

Ro Metadata Url


  • http://ro.uow.edu.au/scipapers/4270

Number Of Pages


  • 12

Start Page


  • 35

End Page


  • 47

Volume


  • 460

Issue


  • July 24