Data

Victorian Tall Eucalypt Forest Plot Network: Stag and Fire Severity Observations in Ash Forest in the Central Highlands of Victoria, South-eastern Australia,1998–2011

Terrestrial Ecosystem Research Network
Lindenmayer, David
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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=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/e6018de1-1289-594c-8f24-a0ccede28f21&rft.title=Victorian Tall Eucalypt Forest Plot Network: Stag and Fire Severity Observations in Ash Forest in the Central Highlands of Victoria, South-eastern Australia,1998–2011&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/e6018de1-1289-594c-8f24-a0ccede28f21&rft.publisher=Australian National University&rft.description=In 1998, 1129 large trees with cavities (i.e. both living and dead stags) were mapped and permanently marked at 156 field sites. Each stag was assigned one of nine tree forms or decay classes based on observable characteristics. Each time the trees were re-surveyed, an additional 3 hour reconnaissance was undertaken at each site to determine if any new cavity trees had been recruited since the previous survey. These data were used in the IUCN Red List of Ecosystem Assessment of Burns, E. L., Lindenmayer, D. B., Stein, J., Blanchard, W., McBurney, L., Blair, D. & Banks, S. C. (2015). Ecosystem assessment of mountain ash forest in the Central Highlands of Victoria, South-eastern Australia. Austral Ecology. DOI: 10.1111/aec.12200. The data were subsequently used in a case study as part of the Collaborative Environment for Ecosystem Science Research and Analysis (CoESRA) (see https://www.coesra.org.au). This is part of a much larger dataset that began in 1983 when the Victorian Tall Eucalypt Forest Plot Network research plots commenced. These data have been collected as part of an ongoing program to examine key relationships in different vegetation types; within and across different regions and in response to different kinds of disturbance and management regimes. A synopsis of related data packages which have been collected as part of the Victorian Tall Eucalypt Forest Plot Network’s full program is provided at the LTERN Data Portal.&rft.creator=Lindenmayer, David &rft.date=2015&rft.edition=74&rft.relation=http://www.ltern.org.au/knb/metacat/ltern2.1055/html&rft.coverage=Central Highlands of Victoria, Australia&rft.coverage=northlimit=-37.342523; southlimit=-37.919069; westlimit=145.477922; eastLimit=146.195374; projection=EPSG:4326&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=No limitations to public access&rft_rights=Co-authorship with the data provider (Professor David Lindenmayer) of any publication of research utilising this data is an expected outcome. The data provider requests consultation, including a summary of the proposed research and intended use before publication of research utilising this data is possible.&rft_subject=Vegetation structure&rft_subject=Fire&rft_subject=Logging forestry&rft_subject=Fragmentation&rft_subject=Stag&rft_subject=Logging&rft_subject=Tree cavity&rft_subject=Climate change impacts and adaptation&rft_subject=ECOLOGY&rft_subject=BIOLOGICAL SCIENCES&rft_subject=FOREST COMPOSITION/VEGETATION STRUCTURE&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=VEGETATION&rft_subject=Long Term Ecological Research Network&rft_subject=Site Survey&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

No limitations to public access

Co-authorship with the data provider (Professor David Lindenmayer) of any publication of research utilising this data is an expected outcome. The data provider requests consultation, including a summary of the proposed research and intended use before publication of research utilising this data is possible.

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Terrestrial Ecosystem Research Network
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Queensland 4068
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Brief description

In 1998, 1129 large trees with cavities (i.e. both living and dead stags) were mapped and permanently marked at 156 field sites. Each stag was assigned one of nine tree forms or decay classes based on observable characteristics. Each time the trees were re-surveyed, an additional 3 hour reconnaissance was undertaken at each site to determine if any new cavity trees had been recruited since the previous survey. These data were used in the IUCN Red List of Ecosystem Assessment of Burns, E. L., Lindenmayer, D. B., Stein, J., Blanchard, W., McBurney, L., Blair, D. & Banks, S. C. (2015). Ecosystem assessment of mountain ash forest in the Central Highlands of Victoria, South-eastern Australia. Austral Ecology. DOI: 10.1111/aec.12200. The data were subsequently used in a case study as part of the Collaborative Environment for Ecosystem Science Research and Analysis (CoESRA) (see https://www.coesra.org.au). This is part of a much larger dataset that began in 1983 when the Victorian Tall Eucalypt Forest Plot Network research plots commenced. These data have been collected as part of an ongoing program to examine key relationships in different vegetation types; within and across different regions and in response to different kinds of disturbance and management regimes. A synopsis of related data packages which have been collected as part of the Victorian Tall Eucalypt Forest Plot Network’s full program is provided at the LTERN Data Portal.

Issued: 2015-11-23

Modified: 2015-11-23

Data time period: 1998-01-01 to 2011-01-01

This dataset is part of a larger collection

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146.19537,-37.34252 146.19537,-37.91907 145.47792,-37.91907 145.47792,-37.34252 146.19537,-37.34252

145.836648,-37.630796

text: Central Highlands of Victoria, Australia

Subjects
Biological Sciences | BIOSPHERE | Climate change impacts and adaptation | EARTH SCIENCE | Ecology | FOREST COMPOSITION/VEGETATION STRUCTURE | Fire | Fragmentation | Logging | Logging forestry | Long Term Ecological Research Network | Site Survey | Stag | Tree cavity | VEGETATION | Vegetation structure |

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Identifiers
  • global : e6018de1-1289-594c-8f24-a0ccede28f21
ACN 633 798 857