Research Data

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

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General
Title
Incidental achievement of fine-resolution objectives by coarse-resolution priorities
Type
Dataset
Date Record Created
2016-05-10
Date Record Modified
2016-12-13
Language
English
Coverage
Date Coverage
2016-12-07 to 2016-12-08
Time Period
21st Century
Geospatial Location
  • Fiji
  • Micronesia
Description
Descriptions
  1. Type: full

    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.

  2. Type: 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. Type: note

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

  4. Type: 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: >> 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
    • ID: 99b726a40fc493ad103e34f3c575293d
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
  3. incidental representation
Research Activity
(no information)
Research Themes
Tropical Ecosystems, Conservation and Climate Change
Rights
License
CC BY: Attribution 3.0 AU
License - Other
(no information)
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.
Type
open
Rights
(no information)
Data
Data Location
Online Locations
Stored At
(no information)
Citation
Cite:
Cheok, J. (2016). Incidental achievement of fine-resolution objectives by coarse-resolution priorities. James Cook University. [Data Files] http://dx.doi.org/10.4225/28/579AB6341D6F2
Digital Object Identifier (DOI):
10.4225/28/579AB6341D6F2