The Social and Economic Long Term Monitoring Program for the Great Barrier Reef: key findings, SELTMP 2013

Marshall, Nadine A., Bohensky, Erin, Curnock, Matt, Goldberg, Jeremy, Gooch, Margaret, Pert, Petina, Scherl, Lea, Stone-Jovicich, Samantha, and Tobin, Renae C. (2014) The Social and Economic Long Term Monitoring Program for the Great Barrier Reef: key findings, SELTMP 2013. Report. Reef and Rainforest Research Centre, Cairns, QLD, Australia.

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Abstract

[Extract] This report is intended as an interim update for Reef managers, decision-makers, academics, industry and community leaders. We now have near-complete baseline data for several of the large user groups of the Great Barrier Reef and wish to present the key findings for each of these groups.

Analyses of these data are ongoing, and many comparisons (e.g. between user-groups) are yet to be made. Nonetheless, we provide an up-to-date general 'picture' of how these groups use and depend on the Reef, their level of well-being, and their socio-cultural context. We also list what the anticipated major drivers for the Reef and catchment for 2013 will be.

We see that the richness of the SELTMP reporting framework will grow through time as other users and industries are incorporated (e.g. Traditional Owners, shipping, mining) and longitudinal trends and relationships are identified. Readers interested in viewing the baseline data can visit the NERP web page where data representing each user group can be seen in the series of technical reports representing "SELTMP 2013".

Item ID: 32674
Item Type: Report (Report)
Funders: Australian Government’s National Environmental Research Program (NERP)
Projects and Grants: Project 10.1: Social and Economic Long Term Monitoring Program (SELTMP)
Date Deposited: 21 Sep 2016 03:55
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050205 Environmental Management @ 100%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960501 Ecosystem Assessment and Management at Regional or Larger Scales @ 100%
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