Blue Carbon Restoration Actions for Victorian Coastal Wetlands
Updated 1mo ago
7filesDWG
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Description
Blue Carbon Restoration Actions data identifies potential areas for mangrove and saltmarsh restoration in Victoria through modelled management scenarios. The dataset was created by Deakin University's Blue Carbon Lab based on existing data on fencing, levees, pre-European wetland distribution, land use, and inundation extent from sea-level rise. It was last updated on 2026-06-15 and is provided by the Department of Energy, Environment and Climate Action.
Use Cases
Identify potential restoration sites based on modelled scenarios of fencing, levee removal, and managed retreat.
Analyze the intersection of land use (e.g., pasture/grazing lands) with historical wetland distribution for restoration planning.
Model the impact of predicted sea level rise and storm surge inundation on wetland restoration feasibility.
Strengths
Dataset is based on a specific scientific report (Costa et al. 2022) submitted to a government department.
Modelling incorporates multiple data sources: fencing, levee locations, historical wetland distribution, land use, and inundation extent.
Available in multiple geospatial file formats (TAB, SHP, GDB, etc.) for different analysis tools.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Column-level documentation is absent; field semantics must be inferred after download.
The approach does not replace hydrodynamic modelling and site-specific analysis needed before undertaking a project, as noted in the description.
Provenance
Source
Deakin University's Blue Carbon Lab (Costa et al. 2022) and the Department of Energy, Environment and Climate Action (DEECA).
Collection Method
Modelled and classified based on existing data on fencing, levees, pre-European wetland distribution, land use, and inundation extent.
Freshness
Last updated 2026-06-15 07:21:14.758165; freshness should be verified.
Geography
Victoria, Australia.
License is CC-BY-4.0. Data is provided in multiple geospatial formats requiring GIS software for analysis.