Understanding the effects of different social data on selecting priority conservation areas

Karimi, Azadeh, Tulloch, Ayesha I., Brown, Greg and Hockings, Marc (2017) Understanding the effects of different social data on selecting priority conservation areas. Conservation Biology, 31 6: 1439-1449. doi:10.1111/cobi.12947


Author Karimi, Azadeh
Tulloch, Ayesha I.
Brown, Greg
Hockings, Marc
Title Understanding the effects of different social data on selecting priority conservation areas
Journal name Conservation Biology   Check publisher's open access policy
ISSN 0888-8892
1523-1739
Publication date 2017-06-30
Sub-type Article (original research)
DOI 10.1111/cobi.12947
Open Access Status Not yet assessed
Volume 31
Issue 6
Start page 1439
End page 1449
Total pages 11
Place of publication Malden, MA United States
Publisher Wiley-Blackwell
Language eng
Abstract Conservation success is contingent on assessing social as well as environmental factors so that cost-effective implementation of strategies and actions can be placed in a broad social-ecological context. Until now, the focus has been on how to include spatially-explicit social data in conservation planning, whereas the value of different kinds of social data has received limited attention. In a regional systematic conservation planning case study in Australia, we examined the spatial concurrence of a range of spatially-explicit social values and preferences collected using public participation GIS (PPGIS) methods with biological data. We then integrated the social data with the biological data in a series of spatial prioritization scenarios using Zonation software to determine the effect of the different types of social data on spatial prioritization vis-à-vis biological data alone. We found that the type of social data included in the analysis significantly affected spatial prioritization outcomes. The integration of social values and land-use preferences under different scenarios was highly variable and generated spatial prioritizations that were 1.2% to 51% different from those based on biological data alone. The inclusion of conservation-compatible values and preferences added relatively little new area to conservation priorities while in contrast, including non-compatible economic values and development preferences as costs significantly changed conservation priority areas. The multi-faceted conservation prioritization approach presented herein that combines spatially-explicit social data with biological data can assist conservation planners in identifying the type of social data to collect for more effective and feasible conservation actions.
Keyword PPGIS
Zonation
conservation opportunity
conservation planning
cost-effective decisions
decisiones rentables
land-use preferences
oportunidad de conservación
planeación de la conservación
preferencias de uso de suelo
priorización espacial
social values
spatial prioritization
valores sociales
zonation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Earth and Environmental Sciences
 
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Created: Tue, 13 Jun 2017, 09:16:10 EST by Ashleigh Paroz on behalf of School of Earth and Environmental Sciences