Data

Prospective areas for forest carbon farming in the Murray Basin Cluster

Commonwealth Scientific and Industrial Research Organisation
Cox, Michelle ; Polglase, Phil ; Broadhurst, Linda ; Forbes, G ; Adams, D ; Showers, C ; Ha, J ; Doerr, Veronica ; Reeson, Andrew ; Hawkins, Charlie ; Paul, Keryn ; Turner, J ; Crawford, Debbie ; Jovanovic, Tom ; Hobbs, Trevor ; Opie, Kimberley ; Carwardine, Josie ; Almeida, Auro
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/s5wk-0w60&rft.title=Prospective areas for forest carbon farming in the Murray Basin Cluster&rft.identifier=https://doi.org/10.25919/s5wk-0w60&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This folder contains spatial raster layers representing 5 separate figures from a report which explores the economic modelling of carbon farming projects and compares spatial patterns of carbon potential across the Murray-Darling Basin for both current and future climate.Lineage: Two different forest growth carbon models, the CSIRO 3PG-2 and the DELWP 3PG+ models were used. CSIRO modelling incorporated a range of hypothetical establishment costs and carbon prices to generate predictions of potential profitability within the Murray Basin NRM Cluster.DEWLP investigated a range of future climate projections to indicate how carbon sequestration might respond to predicted changes in climate within the Murray Basin NRM Cluster.Further details of the modelling can be found in the report.&rft.creator=Cox, Michelle &rft.creator=Polglase, Phil &rft.creator=Broadhurst, Linda &rft.creator=Forbes, G &rft.creator=Adams, D &rft.creator=Showers, C &rft.creator=Ha, J &rft.creator=Doerr, Veronica &rft.creator=Reeson, Andrew &rft.creator=Hawkins, Charlie &rft.creator=Paul, Keryn &rft.creator=Turner, J &rft.creator=Crawford, Debbie &rft.creator=Jovanovic, Tom &rft.creator=Hobbs, Trevor &rft.creator=Opie, Kimberley &rft.creator=Carwardine, Josie &rft.creator=Almeida, Auro &rft.date=2024&rft.edition=v2&rft.relation=https://www.terranova.org.au/repository/murray-basin-nrm-collection/murray-basin-nrm-carbon-report/murray-basin-nrm-carbon-report.pdf/view&rft.coverage=westlimit=138.4; southlimit=-38.2; eastlimit=150.1; northlimit=-32.2; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO, Department of Environment, Land, Water and Planning 2016.&rft_subject=Carbon&rft_subject=carbon farming&rft_subject=climate change&rft_subject=Murray-Darling Basin&rft_subject=Murray Basin NRM Cluster&rft_subject=Environmental management&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Natural resource management&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO, Department of Environment, Land, Water and Planning 2016.

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This folder contains spatial raster layers representing 5 separate figures from a report which explores the economic modelling of carbon farming projects and compares spatial patterns of carbon potential across the Murray-Darling Basin for both current and future climate.
Lineage: Two different forest growth carbon models, the CSIRO 3PG-2 and the DELWP 3PG+ models were used. CSIRO modelling incorporated a range of hypothetical establishment costs and carbon prices to generate predictions of potential profitability within the Murray Basin NRM Cluster.
DEWLP investigated a range of future climate projections to indicate how carbon sequestration might respond to predicted changes in climate within the Murray Basin NRM Cluster.

Further details of the modelling can be found in the report.

Available: 2024-08-08

This dataset is part of a larger collection

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150.1,-32.2 150.1,-38.2 138.4,-38.2 138.4,-32.2 150.1,-32.2

144.25,-35.2

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ACN 633 798 857