Integrating multiple species connectivity and habitat quality into conservation planning for coral reefs

Dataset associated with the paper "Integrating multiple species connectivity and habitat quality into conservation planning for coral reefs”. The data was collected using biophysical modelling (for connectivity) and remote sensing techniques (for stressors). For connectivity, data on coral reef locations and extents were obtained from the Brazilian Ministry of the Environment database. Data on daily ocean current velocity from 2008 to 2012 was obtained from the Atlantic Operational Real Time Ocean Forecasting System (Atlantic RTOFS) and used to represent ocean dynamics in the dispersal model. Data on stressors were: fishing intensity (Google Earth Pro and government reports); thermal stress (NOAA AVHRR); sedimentation (MODIS Aqua); coastal development (DMSP/NOAA/NGDC). Brazilian reefs were used in the study. Data was collected to demonstrate how functional demographic connectivity for four candidate reef-associated species with varying dispersal abilities and a suite of connectivity metrics weighted by habitat quality can be used to set conservation objectives and inform marine protected area placement.

    Data Record Details
    Data record related to this publication Integrating multiple species connectivity and habitat quality into conservation planning for coral reefs
    Data Publication title Integrating multiple species connectivity and habitat quality into conservation planning for coral reefs
  • Description

    Dataset associated with the paper "Integrating multiple species connectivity and habitat quality into conservation planning for coral reefs”. The data was collected using biophysical modelling (for connectivity) and remote sensing techniques (for stressors). For connectivity, data on coral reef locations and extents were obtained from the Brazilian Ministry of the Environment database. Data on daily ocean current velocity from 2008 to 2012 was obtained from the Atlantic Operational Real Time Ocean Forecasting System (Atlantic RTOFS) and used to represent ocean dynamics in the dispersal model. Data on stressors were: fishing intensity (Google Earth Pro and government reports); thermal stress (NOAA AVHRR); sedimentation (MODIS Aqua); coastal development (DMSP/NOAA/NGDC). Brazilian reefs were used in the study. Data was collected to demonstrate how functional demographic connectivity for four candidate reef-associated species with varying dispersal abilities and a suite of connectivity metrics weighted by habitat quality can be used to set conservation objectives and inform marine protected area placement.

  • Other Descriptors
  • Data type dataset
  • Keywords
    • conservation
    • dispersal modelling
    • marine protected area design
    • ARC Centre of Excellence for Coral Reef Studies
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  • Research themes
    Tropical Ecosystems, Conservation and Climate Change
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    Type Location Notes
    Physical Location Secure HPRC gpfs01/Q0124/Research Data JCU...2015-10-15-e82455b559ca462520d74d653db94277
    The Data Manager is: Rafael Almeida Magris
    College or Centre
    Access conditions Conditional: Contact researchdata@jcu.edu.au to request access to this data.
  • Alternative access conditions
  • Data record size 1 zip file: 153 KB
  • Related publications
      Name Magris, Rafael A., Treml, Eric A., Pressey, Robert L., and Weeks, Rebecca (2016) Integrating multiple species connectivity and habitat quality into conservation planning for coral reefs. Ecography, 39 (7). pp. 649-664.
    • URL http://dx.doi.org/10.1111/ecog.01507
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    The data will be licensed under CC BY: Attribution 3.0 AU
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  • Data owners
      Rafael Magris
    Citation Magris, Rafael (2015): Integrating multiple species connectivity and habitat quality into conservation planning for coral reefs. James Cook University. https://doi.org/10.4225/28/5667B32CF3F53