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Spatial and temporal co-structure analyses between ichthyofauna and environment: an example in the tropics.

L Blanc1, C Aliaume, A Zerbi

  • 1Université Montpellier II, laboratoire hydrobiologie marine et continentale, CNRS UMR 5556, CC 093, place E.-Bataillon, 34095 Montpellier, France.

Comptes Rendus De L'Academie Des Sciences. Serie III, Sciences De La Vie
|July 31, 2001
PubMed
Summary

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This study mapped fish and habitat in Guadeloupe

Area of Science:

  • Marine Biology
  • Ecology
  • Ichthyology

Background:

  • Seagrass beds, specifically Thalassia, are vital habitats for fish.
  • Understanding fish distribution in relation to environmental factors is crucial for conservation.
  • The Grand Cul-de-Sac marin lagoon in Guadeloupe hosts significant Thalassia beds.

Purpose of the Study:

  • To investigate the distribution of ichthyofauna within Thalassia beds.
  • To characterize habitat variables influencing fish communities.
  • To analyze the spatial and temporal relationships between fish distribution and environmental factors.

Main Methods:

  • A one-year survey was conducted across ten sites in the lagoon.
  • Monthly measurements of nine environmental variables were performed.

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  • Fish communities were collected, and data were analyzed using principal component analysis (PCA) and between-site co-structure analysis (BSCA).

    • Main Results:

    • Environmental data showed significant spatial and temporal variability.
    • Fish distribution exhibited a stable spatial structure throughout the year.
    • A strong coast-reef gradient was identified as the primary common factor between fish distribution and environmental structure, distinguishing mangrove-influenced sites from reef-influenced sites.

    Conclusions:

    • Fish distribution in Thalassia beds is primarily structured by spatial gradients, not temporal changes.
    • Environmental factors create distinct habitats, influencing fish community composition.
    • The study effectively linked fish spatial structure to environmental spatial structure using BSCA.