Influence of updating frequency in the iterative adjustment of regional priorities in the transition to local actions

These datasets contain the raw data analysed in the related publication, and are the results produced from simulating the incremental implementation of local actions guided by regional conservation assessments. The simulations explored how update frequency can influence aspects of translating regional assessments to local actions, and were coded for in R. These associated datasets include: 1) Time elapsed across the four simulation scenarios (100 replicates each), in terms of absolute numbers of planning units investigated (Absolute_pus_invest.csv); 2) Time elapsed across the four simulation scenarios (100 replicates each), in terms of unique numbers of planning units investigated (Unique_pus_invest.csv); 3) Time elapsed across the four simulation scenarios (100 replicates each), calculated as proportions of total planning units investigated throughout each simulation replicate (Prop_pus_invest.csv); 4) Total implemented reserve system extents by the end of all simulations (across the four simulation scenarios, calculated in kilometres squared) (Total_extents.csv); 5) Proportional (spatial) overlap between the initial prioritised regional assessment and the final implemented reserve system (across the four simulation scenarios, calculated as proportions) (Prop_overlaps.csv).

    Data Record Details
    Data record related to this publication Influence of updating frequency in the iterative adjustment of regional priorities in the transition to local actions
    Data Publication title Influence of updating frequency in the iterative adjustment of regional priorities in the transition to local actions
  • Description

    These datasets contain the raw data analysed in the related publication, and are the results produced from simulating the incremental implementation of local actions guided by regional conservation assessments. The simulations explored how update frequency can influence aspects of translating regional assessments to local actions, and were coded for in R. These associated datasets include: 1) Time elapsed across the four simulation scenarios (100 replicates each), in terms of absolute numbers of planning units investigated (Absolute_pus_invest.csv); 2) Time elapsed across the four simulation scenarios (100 replicates each), in terms of unique numbers of planning units investigated (Unique_pus_invest.csv); 3) Time elapsed across the four simulation scenarios (100 replicates each), calculated as proportions of total planning units investigated throughout each simulation replicate (Prop_pus_invest.csv); 4) Total implemented reserve system extents by the end of all simulations (across the four simulation scenarios, calculated in kilometres squared) (Total_extents.csv); 5) Proportional (spatial) overlap between the initial prioritised regional assessment and the final implemented reserve system (across the four simulation scenarios, calculated as proportions) (Prop_overlaps.csv).

  • Other Descriptors
  • Data type dataset
  • Keywords
    • systematic conservation planning
    • regional priorities
    • protected areas
    • Marxan
    • iterative planning
    • implementation
    • 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 (*)
    • 050202 - Conservation and Biodiversity
    • 050205 - Environmental Management
    SEO Codes
    • 960507 - Ecosystem Assessment and Management of Marine Environments
    • 960701 - Coastal and Marine Management Policy
    Specify spatial or temporal setting of the data
    Temporal (time) coverage
  • Start Date
  • End Date
  • Time Period
    Spatial (location) coverage
  • Locations
    • Fiji Islands
    Data Locations

    Type Location Notes
    Attachment Absolute_pus_invest.csv Total times taken to achieve all conservation objectives across all simulation scenarios (100 replicates each), indicated by the total absolute numbers of planning unit investigations throughout the simulations (the rate of implementation was assumed equal across all scenarios; i.e., 25 planning units every two years).
    Attachment Unique_pus_invest.csv Total times taken to achieve all conservation objectives across all simulation scenarios (100 replicates each), indicated by the total unique numbers of planning unit investigations throughout the simulations (the rate of implementation was assumed equal across all scenarios; i.e., 25 planning units every two years).
    Attachment Total_extents.csv Total extent of final implemented reserve systems to achieve all objectives, across all simulation runs (four simulation scenarios, 100 replicates each). Final extents are calculated in squared kilometres.
    Attachment Prop_pus_invest.csv Number of planning unit reinvestigations throughout each simulation run (4 simulation scenarios, 100 replicates each), expressed as a proportion of total planning units investigated. The rate of implementation was assumed equal across all scenarios; i.e., 25 planning units every two years.
    Attachment Prop_overlaps.csv Spatial overlap between initial prioritised regional assessments and final implemented reserves systems across all scenarios (four simulation scenarios, 100 replicates each). Spatial overlap is calculated as the proportion of the first regional assessment (i.e., extent and configuration of the initially prioritised planning units) that were implemented as reserves at the end of the simulations.
    The Data Manager is: Jessica Miao Jin Cheok
    College or Centre
    Access conditions Open: free access under license
  • Alternative access conditions
  • Data record size 321 KB
  • Related publications
      Name Cheok, Jessica, Pressey, Robert L., Weeks, Rebecca, VanderWal, Jeremy, and Storlie, Collin (2018) The plans they are a-changin': More frequent iterative adjustment of regional priorities in the transition to local actions can benefit implementation. Diversity and Distributions, 24 (1). pp. 48-57.
    • URL http://dx.doi.org/10.1111/ddi.12660
    • Notes
  • Related websites
      Name
    • URL
    • Notes
  • Related metadata (including standards, codebooks, vocabularies, thesauri, ontologies)
  • Related data
      Name
    • URL
    • Notes
  • Related services
      Name
    • URL
    • Notes
    Select or add a licence for the data
    The data will be licensed under CC BY: Attribution 3.0 AU
  • Other Licence
  • Statement of rights in data
  • Data owners
      Jessica Cheok
    Citation Cheok, Jessica Miao JinJes (2017): Influence of updating frequency in the iterative adjustment of regional priorities in the transition to local actions. James Cook University. https://doi.org/10.4225/28/5987b0133ebeb