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Spatial prioritisation outputs in systematic conservation planning reflecting differences in spatial priorities based on changes in planning-unit size, thematic resolution of habitats, and socioeconomic costs

This dataset contains raw spatial prioritisation outputs from the decision-support software tool Marxan. These include the two main outputs from prioritisations: 1) individual solutions created for each conservation scenario run (100 solutions each), and 2) selection frequency data of each of the 20 scenarios, detailing the relative importance of each planning unit in the spatial prioritisation. The allssolnfreq.csv file consists of selection frequency data for each planning unit for each of the 20 conservation prioritisation scenarios run. Selection frequency values reflect the number of times each planning unit was selected as part of a good solution (100 total per scenario). The allsols.csv files consists of each individual solution produced for each scenario (100 solutions per scenario, 20 scenarios total). Binary data, 0 representing unselected planning units; 1 representing selected planning units. Scenario code IDs reflect those used in publication to which these datasets relate.
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    Data Record Details
    Data record related to this publication Spatial prioritisation outputs in systematic conservation planning reflecting differences in spatial priorities based on changes in planning-unit size, thematic resolution of habitats, and socioeconomic costs
    Data Publication title Spatial prioritisation outputs in systematic conservation planning reflecting differences in spatial priorities based on changes in planning-unit size, thematic resolution of habitats, and socioeconomic costs
  • Description

    This dataset contains raw spatial prioritisation outputs from the decision-support software tool Marxan. These include the two main outputs from prioritisations: 1) individual solutions created for each conservation scenario run (100 solutions each), and 2) selection frequency data of each of the 20 scenarios, detailing the relative importance of each planning unit in the spatial prioritisation. The allssolnfreq.csv file consists of selection frequency data for each planning unit for each of the 20 conservation prioritisation scenarios run. Selection frequency values reflect the number of times each planning unit was selected as part of a good solution (100 total per scenario). The allsols.csv files consists of each individual solution produced for each scenario (100 solutions per scenario, 20 scenarios total). Binary data, 0 representing unselected planning units; 1 representing selected planning units. Scenario code IDs reflect those used in publication to which these datasets relate.

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  • 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.

      • Descriptor type Note
    • Descriptor

      This dataset is available as 2 comma-separated values (.csv) files.

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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.

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      Descriptor type Note
    • Data type dataset
  • Keywords
    • systematic conservation planning
    • spatial prioritisation outputs
    • Marxan outputs
    • 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 2015/04/08
  • End Date 2016/05/08
    • Time Period Contemporary
    Spatial (location) coverage
  • Locations
    • Fiji
    • Micronesia
- Data
    Data Locations

    Type Location Notes
    Attachment allssolnfreq.csv Selection frequency data for each planning unit for each of the 20 conservation prioritisation scenarios run. Selection frequency values reflect the number of times each planning unit was selected as part of a good solution (100 total per scenario). Scenario code IDs reflect those used in publication to which this dataset relates.
    The Data Manager is: Jessica Miao Jin Cheok
    College or Centre
    Access conditions Open: free access under license
  • Alternative access conditions
    • Data record size 118.85 MB
- 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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  • Data owners
      Jessica Cheok
- Citation
    Citation Cheok, Jessica Miao Jin (2016): Spatial prioritisation outputs in systematic conservation planning reflecting differences in spatial priorities based on changes in planning-unit size, thematic resolution of habitats, and socioeconomic costs. James Cook University. https://doi.org/10.4225/28/579AB69280EAF