Data

A Macquarie Island Spatially Explicit Terrain Class Model, 2017

Australian Antarctic Division

Baker, D.J., Bergstrom, D.M., Dickson, C.R., Whinam, J. and McGeoch, M.A. ; BERGSTROM, DANA M. ; DICKSON, CATHERINE R ; WHINAM, JENNIFER ; MCGEOCH, MELODIE A. ; BAKER, DAVID J.

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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:doi10.26179/5bf38bdda2375&rft.title=A Macquarie Island Spatially Explicit Terrain Class Model, 2017&rft.identifier=10.26179/5bf38bdda2375&rft.publisher=Australian Antarctic Data Centre&rft.description=A spatially explicit terrain class model (TCM) was produced of the full extent of Macquarie Island to determine areas on Macquarie Island with broadly the same microclimate and ensure that potential microrefugia could be identified. Non-correlated terrain variables likely to affect evapotranspiration rates were included in the model (elevation, surface curvature, topographic wetness index, solar radiation and topographically deflected wind speed). Terrain variables were derived from the Macquarie Island digital elevation model (DEM, Brolsma 2008), see Bricher et al. 2013 for methods. A fuzzy c-means clustering was applied to identify broadly similar climatic conditions and three different metrics (Xie-Beni Index, cluster stability, PCA) determined the optimum number of terrain clusters to be five. See Dickson et al. 2019 and Baker et al. for full methodology. A ‘2nd Membership’ was also produced that only contains cells with at least double that of the second highest cluster centre membership association, which acknowledges that the highest membership ‘hard clustering’ contains some noise from the DEM and cells that may exist on the boundary of two memberships.Data sourced between 02/01/2017 and 28/02/2017. This dataset was created as part of AASP4312: Nowhere to hide? Conservation options for a sub-Antarctic keystone species and Catherine Dickson's PhD thesis Impact of climate change on a sub-Antarctic keystone species Azorella macquariensis (Apiaceae).ArcGIS shapefiles (.cpg, .dbf, .prj, .sbn, .sbx, .shp, .shx) in a zipped file:MI_TCM_2nd_Membership.zipMI_TCM_Highest_Membership.zipMore details in the referenced publication.Progress Code: completedStatement: There were no problems with data collection or the data.&rft.creator=Baker, D.J., Bergstrom, D.M., Dickson, C.R., Whinam, J. and McGeoch, M.A. &rft.creator=BERGSTROM, DANA M. &rft.creator=DICKSON, CATHERINE R &rft.creator=WHINAM, JENNIFER &rft.creator=MCGEOCH, MELODIE A. &rft.creator=BAKER, DAVID J. &rft.date=2018&rft.coverage=westlimit=158.75244; southlimit=-54.78643; eastlimit=158.96667; northlimit=-54.48121&rft.coverage=westlimit=158.75244; southlimit=-54.78643; eastlimit=158.96667; northlimit=-54.48121&rft.coverage=uplimit=433; downlimit=0&rft.coverage=uplimit=433; downlimit=0&rft_rights=This dataset is a partial fulfilment of Catherine Dickson's PhD Thesis, 'Impact of climate change on a sub-Antarctic keystone species Azorella macquariensis (Apiaceae).' These data are publicly available for download from the provided URL.&rft_rights=Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/legalcode&rft_rights=This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4312_MI_Terrain_Class_Model when using these data.&rft_rights=This metadata record is publicly available.&rft_subject=biota&rft_subject=environment&rft_subject=EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > ALPINE/TUNDRA > ALPINE TUNDRA&rft_subject=EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY&rft_subject=EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > ISLANDS&rft_subject=EARTH SCIENCE > MODELS > DIGITAL ELEVATION/DIGITAL TERRAIN MODELS&rft_subject=TOPOCLIMATE&rft_subject=TOPOCLIMATE MODEL&rft_subject=MAPPING&rft_subject=TERRAIN CLASS MODEL&rft_subject=4312&rft_subject=AAS 4312&rft_subject=Computer > Computer&rft_subject=MODELS&rft_subject=AMD/AU&rft_subject=CEOS&rft_subject=AMD&rft_subject=GEOGRAPHIC REGION > POLAR&rft_subject=OCEAN > SOUTHERN OCEAN > MACQUARIE ISLAND&rft.type=dataset&rft.language=English Access the data

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Attribution 4.0 International (CC BY 4.0)
https://creativecommons.org/licenses/by/4.0/legalcode

This dataset is a partial fulfilment of Catherine Dickson's PhD Thesis, 'Impact of climate change on a sub-Antarctic keystone species Azorella macquariensis (Apiaceae).' These data are publicly available for download from the provided URL.

This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4312_MI_Terrain_Class_Model when using these data.

This metadata record is publicly available.

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Full description

A spatially explicit terrain class model (TCM) was produced of the full extent of Macquarie Island to determine areas on Macquarie Island with broadly the same microclimate and ensure that potential microrefugia could be identified. Non-correlated terrain variables likely to affect evapotranspiration rates were included in the model (elevation, surface curvature, topographic wetness index, solar radiation and topographically deflected wind speed). Terrain variables were derived from the Macquarie Island digital elevation model (DEM, Brolsma 2008), see Bricher et al. 2013 for methods. A fuzzy c-means clustering was applied to identify broadly similar climatic conditions and three different metrics (Xie-Beni Index, cluster stability, PCA) determined the optimum number of terrain clusters to be five. See Dickson et al. 2019 and Baker et al. for full methodology. A ‘2nd Membership’ was also produced that only contains cells with at least double that of the second highest cluster centre membership association, which acknowledges that the highest membership ‘hard clustering’ contains some noise from the DEM and cells that may exist on the boundary of two memberships.

Data sourced between 02/01/2017 and 28/02/2017. This dataset was created as part of AASP4312: Nowhere to hide? Conservation options for a sub-Antarctic keystone species and Catherine Dickson's PhD thesis "Impact of climate change on a sub-Antarctic keystone species Azorella macquariensis (Apiaceae)".

ArcGIS shapefiles (.cpg, .dbf, .prj, .sbn, .sbx, .shp, .shx) in a zipped file:
MI_TCM_2nd_Membership.zip
MI_TCM_Highest_Membership.zip

More details in the referenced publication.

Lineage

Progress Code: completed

Statement: There were no problems with data collection or the data.

Notes

Purpose
To determine areas on Macquarie Island with broadly the same microclimate and ensure that potential microrefugia could be identified.

Data time period: 2017-10-01 to 2017-10-31

This dataset is part of a larger collection

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text: westlimit=158.75244; southlimit=-54.78643; eastlimit=158.96667; northlimit=-54.48121

text: uplimit=433; downlimit=0

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Download the data (GET DATA > DIRECT DOWNLOAD)

url : https://data.aad.gov.au/eds/4815/download External Link

Public information for AAS project 4312 (PROJECT HOME PAGE)

url : https://projects.aad.gov.au/report_project_public.cfm?project_no=AAS_4312 External Link

Citation reference for this metadata record and dataset. (VIEW RELATED INFORMATION)

url : https://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4312_MI_Terrain_Class_Model External Link

Identifiers

DOI : 10.26179/5BF38BDDA2375
global : AAS_4312_MI_Terrain_Class_Model