Stoeckl, Natalie, Grainger, Daniel, Esparon, Michelle, Farr, Marina, Larson, Silva, Kennard, Mark, Álvarez-Romero, Jorge G., Cattarino, Lorenzo, Adams, Vanessa, Douglas, Michael, Pressey, Bob, and Pannell, David (2016) Integrated models, frameworks and decision support tools to guide management and planning in Northern Australia. Final report. Report. James Cook University, Townsville, QLD, Australia.

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Abstract

[Extract] There is a lot of interest in developing northern Australia while also caring for the unique Australian landscape (Commonwealth of Australia 2015). However, trying to decide how to develop and protect at the same time can be a challenge. There are many modelling tools available to inform these decisions, including integrated models, frameworks, and decision support tools, but there are so many different kinds that it’s difficult to determine which might be best suited to inform different decisions. To support planning and development decisions across northern Australia, this project aimed to create resources to help end-users (practitioners) to assess: 1. the availability and suitability of particular modelling tools; and 2. the feasibility of using, developing, and maintaining different types of modelling tools.

Item ID:	48810
Item Type:	Report (Report)
ISBN:	978–1-925167-77-1
Keywords:	northern Australia; integrated models; modelling tools; integrated decision support tool (IDST)
Related URLs:	Organisation
Additional Information:	© James Cook University, 2016. Integrated models, frameworks and decision support tools to guide management and planning in northern Australia is licensed by James Cook University for use under a Creative Commons Attribution 4.0 Australia licence. For licence conditions see: https://creativecommons.org/licenses/by/4.0.
Funders:	National Environmental Science Research Programme (NESP)
Projects and Grants:	NESP Northern Australia Environmental Resources Hub
Date Deposited:	01 May 2017 23:33
FoR Codes:	14 ECONOMICS > 1403 Econometrics > 140303 Economic Models and Forecasting @ 30% 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics @ 30% 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050299 Environmental Science and Management not elsewhere classified @ 40%
SEO Codes:	96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960501 Ecosystem Assessment and Management at Regional or Larger Scales @ 50% 96 ENVIRONMENT > 9606 Environmental and Natural Resource Evaluation > 960699 Environmental and Natural Resource Evaluation not elsewhere classified @ 50%
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