Structural factors influencing conservation decision-making: a case of species prioritisation in Australia

Kiatkoski Kim, Milena, Evans, Louisa, Fidelman, Pedro, Scherl, Lea M., and Marsh, Helene (2017) Structural factors influencing conservation decision-making: a case of species prioritisation in Australia. Journal of Environmental Planning and Management, 60 (11). pp. 1923-1943.

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Prioritisation methods have been adopted for >20 years to inform resource allocation in species conservation. The academic literature on prioritisation focuses on technical matters, with little attention to the socio-political factors affecting the uptake of priorities. We investigated the policy instruments employed to promote uptake, and the structural factors affecting the uptake of priorities, using as our case study a species prioritisation method adopted by the Queensland Government (Australia). We interviewed 79 key informants and analysed policy documents and plans. The Queensland Government relied on 'information delivery' as a policy instrument to foster uptake. We identified communication channels to assist 'information delivery' between Government and intended users, but also found that several structural factors limited their use: fragmentation of policies, the relative strength of alternative priorities and centralisation of power in decision-making. We discuss the results in relation to other conservation planning initiatives and suggest how structural barriers can be addressed.

Item ID: 51947
Item Type: Article (Research - C1)
ISSN: 1360-0559
Keywords: prioritisation, social structures, policy instruments, conservation planning, uptake
Funders: James Cook University (JCU), SkyRail Foundation (Australia)
Projects and Grants: JCU Professor Helene Marsh's Service Fund
Date Deposited: 10 Jan 2018 07:44
FoR Codes: 41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410404 Environmental management @ 100%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960507 Ecosystem Assessment and Management of Marine Environments @ 100%
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