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Incidental achievement of fine-resolution objectives by coarse-resolution priorities

This dataset contains information on the degree to which conservation objectives for high thematic resolution would be achieved by priority areas identified by the ten coarse scenarios tested with large planning units. The incidental_rep_results.csv files consists of Csv table containing information on each of the high thematic resolution (code L5) habitats assessed for incidental representation. Codes correspond to habitat types categorised in the original spatial dataset. Natural log-transformed rarity values for each L5 habitat are also shown for each L5 habitat, calculated as the extent of each feature relative to that of the whole study area, expressed as a percentage. Formula used: [1 - (total habitat extent / total planning extent)] x 100. Values of incidental representation for each of the L5 habitats are shown for each of the unique prioritisation scenarios (20 total). Please refer to accompanying publication for further details on methods used to calculate incidental representation of L5 habitats.

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    Data record related to this publication Incidental achievement of fine-resolution objectives by coarse-resolution priorities
    Data Publication title Incidental achievement of fine-resolution objectives by coarse-resolution priorities
  • Description

    This dataset contains information on the degree to which conservation objectives for high thematic resolution would be achieved by priority areas identified by the ten coarse scenarios tested with large planning units. The incidental_rep_results.csv files consists of Csv table containing information on each of the high thematic resolution (code L5) habitats assessed for incidental representation. Codes correspond to habitat types categorised in the original spatial dataset. Natural log-transformed rarity values for each L5 habitat are also shown for each L5 habitat, calculated as the extent of each feature relative to that of the whole study area, expressed as a percentage. Formula used: [1 - (total habitat extent / total planning extent)] x 100. Values of incidental representation for each of the L5 habitats are shown for each of the unique prioritisation scenarios (20 total). Please refer to accompanying publication for further details on methods used to calculate incidental representation of L5 habitats.

  • Other Descriptors
    • Descriptor

      There are several datasets associated with the study described in the related publication. The study quantifies the individual and interacting effects of three factors - planning-unit size, thematic resolution of habitat maps, and spatial variability of socioeconomic costs - on spatial priorities for conservation, by creating 20 unique prioritisation scenarios involving different levels of each factor. Prioritisations were run using the reserve selection tool Marxan. Because output data from these scenarios are analogous to ecological data, ecological statistics were applied to determine spatial similarities between reserve designs. The other datasets for this study can be found at the Related Data links below.

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      Descriptor type Note
    • Descriptor

      This dataset is available as a comma-separated values (.csv) file.

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      Descriptor type Note
    • Descriptor

      Coral-reef habitats in Fiji and Micronesia (consisting of the Mariana Islands, Marshall Islands, Palau, Guam, and the Federated States of Micronesia) were used as case studies. Although analyses are grounded in real data, they are demonstration exercises and not intended to inform real-world conservation action in the study regions.

      • Descriptor type Note
    • Data type dataset
  • Keywords
    • systematic conservation planning
    • spatial prioritisation
    • incidental representation
    • ARC Centre of Excellence for Coral Reef Studies
  • Funding source
  • Research grant(s)/Scheme name(s)
    • Research themes
    Tropical Ecosystems, Conservation and Climate Change
    FoR Codes (*)
    SEO Codes
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    Temporal (time) coverage
  • Start Date 2016/12/07
  • End Date 2016/12/08
    • Time Period 21st Century
    Spatial (location) coverage
  • Locations
    • Fiji
    • Micronesia
- Data
    Data Locations

    Type Location Notes
    Attachment incidental_rep_results.csv Csv table containing information on each of the high thematic resolution (code L5) habitats assessed for incidental representation. Codes correspond to habitat types categorised in the original spatial dataset. Natural log-transformed rarity values for each L5 habitat are also shown for each L5 habitat, calculated as the extent of each feature relative to that of the whole study area, expressed as a percentage. Formula used: [1 - (total habitat extent / total planning extent)] x 100. Values of incidental representation for each of the L5 habitats are shown for each of the unique prioritisation scenarios (20 total). Please refer to accompanying publication for further details on methods used to calculate incidental representation of L5 habitats.
    The Data Manager is: Jessica Miao Jin Cheok
    College or Centre
    Access conditions Open: free access under license
  • Alternative access conditions
    • Data record size 96 KB
- Related resources
  • Related publications
      Name Cheok, Jessica, Pressey, Robert L., Weeks, Rebecca, Andrefouet, Serge and Moloney, James (2016) Sympathy for the devil: detailing the effects of planning-unit size, thematic resolution of reef classes, and socioeconomic costs on spatial priorities for marine conservation. PLoS ONE, 11(11): e0164869
    • URL http://dx.doi.org/10.1371/journal.pone.0164869
    • Notes Open Access
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- License
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    The data will be licensed under CC BY: Attribution 3.0 AU
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    • Statement of rights in data
  • Data owners
      Jessica Cheok
- Citation
    Citation Cheok, Jessica Miao Jin (2016): Incidental achievement of fine-resolution objectives by coarse-resolution priorities. James Cook University. https://doi.org/10.4225/28/579AB6341D6F2