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ReefBahia, an integrated GIS approach for coral reef conservation in Bahia, Brazil

Journal Article


Abstract


  • Coral reefs around the world are facing serious

    threats. These fragile ecosystems are in need for conservation. The coastal state of Bahia hosts the most extensive and

    richest area of coral reefs in the South Atlantic Ocean.

    Assessment, planning and management of coral reef ecosystems are particularly challenging tasks. This work shows

    how the creation of a GIS improves the process of management, monitoring and conservation of the Bahian reef environments The initial data input started by the vectorization

    of 1) bathymetric data from the Bureau of Hydrography and

    Navigation (DHN), 2) shoreline and mangrove areas from

    Landsat 7 ETM + images, 3) near surface reefs from

    Quickbird images, and 4) coastal and marine protected areas

    of federal, state and local administrations. Geological, physical, biological and social information was then included in

    order to create a suitable marine GIS for conservation aims.

    The data includes information on sediment granulometry

    and transport patterns, rocky substrate outcrops, sea surface

    temperature, wave direction, rain precipitation, major contributing river discharge, artisanal fishery, benthic cover and

    bleaching data. ReefBahia GIS has provided essential information for a better understanding of coral reefs of the state

    of Bahia geological and ecological characteristics such as

    mapping, representation, connectivity and biodiversity of

    coral reefs, geological facies, Quaternary sedimentation,

    numeric modeling of wave refraction and monitoring of

    bleaching events.

Publication Date


  • 2013

Geographic Focus


Citation


  • Cabral Carvalho, R. & de Kikuchi, R. Kenji Papa. (2013). ReefBahia, an integrated GIS approach for coral reef conservation in Bahia, Brazil. Journal of Coastal Conservation, 17 (2), 239-252.

Scopus Eid


  • 2-s2.0-84878108121

Has Global Citation Frequency


Number Of Pages


  • 13

Start Page


  • 239

End Page


  • 252

Volume


  • 17

Issue


  • 2

Place Of Publication


  • Netherlands

Abstract


  • Coral reefs around the world are facing serious

    threats. These fragile ecosystems are in need for conservation. The coastal state of Bahia hosts the most extensive and

    richest area of coral reefs in the South Atlantic Ocean.

    Assessment, planning and management of coral reef ecosystems are particularly challenging tasks. This work shows

    how the creation of a GIS improves the process of management, monitoring and conservation of the Bahian reef environments The initial data input started by the vectorization

    of 1) bathymetric data from the Bureau of Hydrography and

    Navigation (DHN), 2) shoreline and mangrove areas from

    Landsat 7 ETM + images, 3) near surface reefs from

    Quickbird images, and 4) coastal and marine protected areas

    of federal, state and local administrations. Geological, physical, biological and social information was then included in

    order to create a suitable marine GIS for conservation aims.

    The data includes information on sediment granulometry

    and transport patterns, rocky substrate outcrops, sea surface

    temperature, wave direction, rain precipitation, major contributing river discharge, artisanal fishery, benthic cover and

    bleaching data. ReefBahia GIS has provided essential information for a better understanding of coral reefs of the state

    of Bahia geological and ecological characteristics such as

    mapping, representation, connectivity and biodiversity of

    coral reefs, geological facies, Quaternary sedimentation,

    numeric modeling of wave refraction and monitoring of

    bleaching events.

Publication Date


  • 2013

Geographic Focus


Citation


  • Cabral Carvalho, R. & de Kikuchi, R. Kenji Papa. (2013). ReefBahia, an integrated GIS approach for coral reef conservation in Bahia, Brazil. Journal of Coastal Conservation, 17 (2), 239-252.

Scopus Eid


  • 2-s2.0-84878108121

Has Global Citation Frequency


Number Of Pages


  • 13

Start Page


  • 239

End Page


  • 252

Volume


  • 17

Issue


  • 2

Place Of Publication


  • Netherlands