Research Data

Spatial prioritisation outputs in systematic conservation planning: data on total reserve extents and costs based on different levels of planning-unit size, thematic resolution of habitats, and socioeconomic cost data

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General
Title
Spatial prioritisation outputs in systematic conservation planning: data on total reserve extents and costs based on different levels of planning-unit size, thematic resolution of habitats, and socioeconomic cost data
Type
Dataset
Date Record Created
2016-05-09
Date Record Modified
2016-12-13
Language
English
Coverage
Date Coverage
2015-04-08 to 2016-05-09
Time Period
Contemporary
Geospatial Location
Description
Descriptions
  1. Full: This dataset contains information on the total reserve extents and costs (calculated as a proportion of the maximum possible cost) on each of the individual solutions generated (100 each) for each conservation prioritisation scenario created (20 each) The allcosts.csv files consists of data on total reserve costs for each individual solution (100 total) produced for each scenario (20 total). Total costs are calculated as proportions of the maximum possible cost, to allow comparison between different cost data. Rows indicate the individual solutions; columns indicate the unique prioritisation scenarios. The allsizes.csv files consists of data on total reserve extents for each individual solution (100 total) produced for each scenario (20 total). Rows indicate the individual solutions; columns indicate the unique prioritisation scenarios. Reserve extent values are in squared kilometers. Scenario code IDs reflect those used in publication to which these datasets relate.
  2. Note: 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.
  3. Note: This dataset is available as 2 comma-separated values (.csv) files.
  4. Note: 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.
Related Publications
  1. 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
    Open Access
Related Websites
(no information)
Related Data
  1. Derived from: >> Institut de Recherche pour le Developpement (2005). Millennium Coral Reef Mapping Project. Validated maps.
    • ID: http://coreus.ird.nc/index.php/accueil/ressources/donnees/millenium-coral-reef-mapping-project/ (EXTERNAL)
    • Publish to RDA: This related object (and relationship) is NOT being published to RDA.
  2. Has association with: >> Spatial nestedness of conservation priorities
    • ID: 6ec6033575d97887d18727bf90b3a65b
  3. Has association with: >> 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
    • ID: f9314a23f787c42ed8b687d3932a1c55
  4. Has association with: >> Dissimilarity matrices between Marxan solutions produced from different levels of planning-unit size, thematic resolution of habitats, and socioeconomic cost data
    • ID: b924f38b3f53fe936177d56d73d3ab1c
  5. Has association with: >> Incidental achievement of fine-resolution objectives by coarse-resolution priorities
    • ID: e6edf0c980c72878dcceae4eda960983
Related Services
(no information)
Technical metadata
(no information)
People
Creators
  1. Owned by: Ms Jessica Miao Jin Cheok , jessica.cheok@my.jcu.edu.au , ARC Centre of Excellence for Coral Reef Studies, School of Earth & Environmental Sciences
Primary Contact
Ms Jessica Miao Jin Cheok, jessica.cheok@my.jcu.edu.au
Supervisors
  1. Prof Robert Pressey , bob.pressey@jcu.edu.au
Collaborators
  1. Serge Andréfouët, Institut de Recherche pour le Developpement, Laboratoire d'Excellence
Subject
Fields of Research
  1. 050202 - Conservation and Biodiversity (050202)
  2. 050205 - Environmental Management (050205)
Socio-Economic Objective
  1. 960507 - Ecosystem Assessment and Management of Marine Environments (960507)
  2. 960701 - Coastal and Marine Management Policy (960701)
Keywords
  1. systematic conservation planning
  2. spatial prioritisation outputs
  3. Marxan outputs
Research Activity
(no information)
Research Themes
Tropical Ecosystems, Conservation and Climate Change
Rights
Access Rights/Conditions
Open access. If the data is not freely accessible via the link provided, please contact the nominated data manager or researchdata@jcu.edu.au for assistance.
Rights
(no information)
License
CC BY: Attribution 3.0 AU
License - Other
(no information)
Data
Data Location
Online Locations
Stored At
(no information)
Citation
Cite:
Cheok, J. (2016). Spatial prioritisation outputs in systematic conservation planning: data on total reserve extents and costs based on different levels of planning-unit size, thematic resolution of habitats, and socioeconomic cost data. James Cook University. [Data Files] http://dx.doi.org/10.4225/28/579AB5B53B02A
Digital Object Identifier (DOI):
10.4225/28/579AB5B53B02A