Abstract Type: Independent oral presentation
Abstract TitleApplying an extended ecosystem service accounting framework to turn data into information for better management of the Great Barrier Reef.
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Abstract
The Great Barrier Reef (GBR) is a complex coastal system consisting of multiple, interconnected ecosystems such as coral reefs, seagrass meadows and mangroves. Despite the long history of human use of Reef ecosystem services, management decisions have historically been made drawing on ecological and biophysical knowledge more so than socio-economic data. As a result, and compared with its socio-economic counterpart, this biophysical information tends to be more findable in centralised depositories and collected following established protocols. One objective of the Sustainable Use and Benefits for Marine (SEABORNE) project was to assist GBR focussed management decision-making through better understanding and organisation of socio-economic data. In this paper we present an extension of the United Nations’ System of Environmental Economic Accounting, Ecosystem Accounting (SEEA EA) as a way to organise existing data and demonstrate how applying this framework as a lens across existing socio-economic data can assist in turning the plethora of data on Reef users, uses and benefits into information for management decisions. Our framework is based on a combination of the UN’s SEEA EA framework, the Total Economic Value framework, and First Nations-centric frameworks. We refer to this framework as an extended SEEA EA approach. In this paper we demonstrate how the framework enables us to develop an understanding of a flow of value from ecosystem services to end-users which we term an Ecosystem Service Value Chain. In this paper we describe the population of the value chains for a number of ecosystem services to the end-users. We demonstrate how the value chain concept not only enables a way to understand and rationalise existing socio-economic data but also provides a systematic approach to understand the quality of this data, how this data informs decision making, existing data gaps and priorities for future socio-economic data collection for management decisions.
Related Conference Topic Area
coastal and marine management
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Presenter Information
First Name Anthea |
Last Name Coggan |
Affiliation CSIRO |
Author(s) Information
Author | First Name | Last Name | Affiliation |
1 | Anthea | Coggan | CSIRO |
2 | Petina | Pert | CSIRO |
3 | Jeremy | De Valck | CQU |
4 | Victoria | Graham | Cairns Institute, JCU |
5 | Diane | Jarvis | JCU |
6 | Cindy | Huchery | GBRMPA |
7 | Michelle | Dyer | GBRMPA |