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Regional engagement and spatial modelling for natural resource management planning

Meyer, Wayne S., Bryan, Brett A., Summers, David M., Lyle, Greg, Wells, Sam, McLean, Josie and Siebentritt, Mark 2016, Regional engagement and spatial modelling for natural resource management planning, Sustainability science, vol. 11, no. 5, pp. 733-747, doi: 10.1007/s11625-015-0341-5.

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Title Regional engagement and spatial modelling for natural resource management planning
Author(s) Meyer, Wayne S.
Bryan, Brett A.ORCID iD for Bryan, Brett A. orcid.org/0000-0003-4834-5641
Summers, David M.
Lyle, Greg
Wells, Sam
McLean, Josie
Siebentritt, Mark
Journal name Sustainability science
Volume number 11
Issue number 5
Start page 733
End page 747
Total pages 15
Publisher Springer
Place of publication Tokyo, Japan
Publication date 2016-09
ISSN 1862-4065
1862-4057
Keyword(s) transdisciplinary
envisioning
values-rich narrative
landscape futures analysis
management options
regional planning
Summary Changing unsustainable natural resource use in agricultural landscapes is a complex social–ecological challenge that cannot be addressed through traditional reductionist science. More holistic and inclusive (or transdisciplinary) processes are needed. This paper describes a transdisciplinary project for natural resource management planning in two regions (Eyre Peninsula and South Australian Murray-Darling Basin) of southern Australia. With regional staff, we reviewed previous planning to gain an understanding of the processes used and to identify possible improvement in plan development and its operation. We then used an envisioning process to develop a value-rich narrative of regional aspirations to assist stakeholder engagement and inform the development of a land use management option assessment tool called the landscape futures analysis tool (LFAT). Finally, we undertook an assessment of the effectiveness of the process through semi-structured stakeholder interviews. The planning process review highlighted the opinion that the regional plans were not well informed by available science, that they lacked flexibility, and were only intermittently used after publication. The envisioning process identified shared values—generally described as a trust, language that is easily understood, wise use of resources, collaboration and inclusiveness. LFAT was designed to bring the best available science together in a form that would have use in planning, during community consultation and in assessing regional management operations. The LFAT provided spatially detailed but simple models of agricultural yields and incomes, plant biodiversity, weed distribution, and carbon sequestration associated with future combinations of climate, commodity and carbon prices, and costs of production. Stakeholders were impressed by the presentation and demonstration results of the software. While there was anecdotal evidence that the project provided learning opportunities and increased understanding of potential land use change associated with management options under global change, the direct evidence of influence in the updated regional plan was limited. This project had elements required for success in transdisciplinary research, but penetration seems limited. Contributing factors appear to be a complexity of climate effects with economic uncertainty, lack of having the project embedded in the plan revision process, limited continuity and capacity of end users and limited after project support and promotion. Strategies are required to minimise the controlling influence that these limitations can have.
Language eng
DOI 10.1007/s11625-015-0341-5
Field of Research MD Multidisciplinary
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2015, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30102074

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.