NESP MaC Project 1.9 - Quantifying the ecosystem services of the Great Southern Reef

Research Project

Researchers: Emma Flukes (Point of contact) ,  Emma Flukes (Point of contact) ,  Vergés, Adriana ,  Vergés, Adriana

Brief description This record provides an overview of the NESP Marine and Coastal Hub small-scale study - "Quantifying the ecosystem services of the Great Southern Reef". For specific data outputs from this project, please see child records associated with this metadata. -------------------- The Great Southern Reef (GSR) is an interconnected system of reefs dominated by kelp forests spanning over 8,000 km along southern Australia. It is a global hotspot for marine biodiversity and endemism, and one of the most productive ecosystems on Earth. Kelp forests, however, are diminishing and evidence-based management is hindered without accurate estimates of their contribution to society and the economy. In this project, we will systematically compile and synthesise existing data on the ecosystem values and services provided by the GSR, including market and non-market values. These assessments will be aligned with existing accounting standards to ensure compatibility with ongoing and future efforts. Outputs • Inventory of data collated and assessed for the purpose of developing ecosystem accounts for GSR • Final technical report with analysed data, including a short summary of recommendations for policy makers of key findings (written)

Lineage Maintenance and Update Frequency: asNeeded

Notes Credit
Adriana Vergés (UNSW), Scott Bennett (UTAS), Abbie Rogers (UWA), Thomas Wernberg (UWA), Kareen FilbeeDexter (UWA), Michael Burton (UWA), Ben Milligan (UNSW), Jordan Gacutan (UNSW)

Notes Credit
National Environmental Science Program (NESP) Marine and Coastal Hub

Notes Credit
Department of Agriculture, Water and the Environment (DAWE), Australian Government

Notes Credit
In addition to NESP (DAWE) funding, this project is matched by an equivalent amount of in-kind support and co-investment from project partners and collaborators.

Data time period: 2021-09-01 to 2022-03-31

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