Data

0.01 degree stack of edaphic and physiographic layers for continental analysis of biodiversity pattern, version 1.0

Commonwealth Scientific and Industrial Research Organisation
Williams, Kristen ; De Vries, Robert ; Stein, Janet ; Rosauer, Dan ; Storey, Randal
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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:doi10.25919/5c0efa88cd454&rft.title=0.01 degree stack of edaphic and physiographic layers for continental analysis of biodiversity pattern, version 1.0&rft.identifier=10.25919/5c0efa88cd454&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=These data provide rasterised layers of edaphic (physical and chemical conditions of the soil) and land surface physiography (landform and geomorphology) attributes hypothesised to explain spatial patterns in biological diversity at continental scales for immediate use with statistical modelling tools. These data are intended to be used along with a similarly compiled and spatially standardised set of climatic layers (See 0.01 degree stack of climate layers for continental analysis of biodiversity pattern: version 1.0 in related materials).NOTE: Full details of the data, with a list of data sources and bibliography, are provided in a PDF file included as part of the data collection.NOTE: Full details of the methods and data sources, as well as a bibliography, are provided in a PDF file included in the data collection. Rasterised environmental attributes representing soil conditions, landform and geomorphology were compiled from a wide range of data sources. The layers were expanded to fill voids (NODATA values) and more fully capture the land surface of Australia because of the size of the cells (1km). This is not the ideal way to account for these areas, but adequate pending more thorough updates in the future. Layers were expanded using the DATA option of the FOCALMEAN command with a CIRCLE expand radius of 2 cells. The focal mean command expands data values into nodata areas using the mean value of nearby cells. The focal mean command changes all the values in the original grid, so the cell values in the expanded areas are put back onto the original grids. The 2-cell expansion is applied iteratively until all NODATA values or voids are filled, and an expanded coastline mask is applied to limit the coast expansion. Data were subsequently masked to consistently define data/nodata values across all substrate/terrain and climatic layers in the stack (for the latter, see Williams 2010a). They are supplied in DIVA-GIS and ArcGIS floating-grid formats in the WGS84 geographic reference system. A coastline mask with resolution 0.01 degrees (OZMASK_1K) was generated from the current extent of the Australian coastline and surrounding islands defined by the GEODATA Coast 1:100,000 topographic vector data series (Geoscience Australia 2004 ) (details given in Williams et al. 2010a). This coastline incorporates some minor land and island locations that are not yet captured by the 9-second digital elevation model (Hutchinson et al. 2008) . The filling of lakes and voids may have implications for communication or interpretation of subsequent terrestrial biodiversity models using these data, where taxa are geographically predicted to occur where they would not be expected to be found. Outputs should therefore be masked to reinstate coastline and lakes. The GEODATA coastline mask was created to better reflect coastline and lakes in modelled outputs.&rft.creator=Williams, Kristen &rft.creator=De Vries, Robert &rft.creator=Stein, Janet &rft.creator=Rosauer, Dan &rft.creator=Storey, Randal &rft.date=2018&rft.edition=v2&rft.coverage=northlimit=-9.0; southlimit=-43.8; westlimit=112.9; eastLimit=153.64; projection=WGS84&rft_rights=All Rights (including copyright) ANU Fenner School of Environment and Society, CSIRO 2010.&rft_rights=CSIRO Data Licence https://wiki.csiro.au/display/dmsdoc/CSIRO+Data+Licence&rft_subject=Australia&rft_subject=soil&rft_subject=solum&rft_subject=soil attributes&rft_subject=soil properties&rft_subject=soil nutrients&rft_subject=soil fertility&rft_subject=land surface physiography&rft_subject=geomorphology&rft_subject=geophysics&rft_subject=magnetics&rft_subject=gravity&rft_subject=terrain&rft_subject=topography&rft_subject=distance to water feature&rft_subject=Conservation and Biodiversity&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Physical Geography and Environmental Geoscience not elsewhere classified&rft_subject=EARTH SCIENCES&rft_subject=PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE&rft_subject=Soil Chemistry (excl. Carbon Sequestration Science)&rft_subject=SOIL SCIENCES&rft_subject=Surfacewater Hydrology&rft_subject=Geospatial Information Systems&rft_subject=ENGINEERING&rft_subject=GEOMATIC ENGINEERING&rft.type=dataset&rft.language=English Access the data
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All Rights (including copyright) ANU Fenner School of Environment and Society, CSIRO 2010.

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Brief description

These data provide rasterised layers of edaphic (physical and chemical conditions of the soil) and land surface physiography (landform and geomorphology) attributes hypothesised to explain spatial patterns in biological diversity at continental scales for immediate use with statistical modelling tools. These data are intended to be used along with a similarly compiled and spatially standardised set of climatic layers (See " 0.01 degree stack of climate layers for continental analysis of biodiversity pattern: version 1.0 " in related materials).NOTE: Full details of the data, with a list of data sources and bibliography, are provided in a PDF file included as part of the data collection.

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NOTE: Full details of the methods and data sources, as well as a bibliography, are provided in a PDF file included in the data collection.

Rasterised environmental attributes representing soil conditions, landform and geomorphology were compiled from a wide range of data sources.

The layers were expanded to fill voids (NODATA values) and more fully capture the land surface of Australia because of the size of the cells (1km). This is not the ideal way to account for these areas, but adequate pending more thorough updates in the future. Layers were expanded using the DATA option of the FOCALMEAN command with a CIRCLE expand radius of 2 cells. The focal mean command expands data values into nodata areas using the mean value of nearby cells. The focal mean command changes all the values in the original grid, so the cell values in the expanded areas are put back onto the original grids. The 2-cell expansion is applied iteratively until all NODATA values or voids are filled, and an expanded coastline mask is applied to limit the coast expansion.

Data were subsequently masked to consistently define data/nodata values across all substrate/terrain and climatic layers in the stack (for the latter, see Williams 2010a). They are supplied in DIVA-GIS and ArcGIS floating-grid formats in the WGS84 geographic reference system.

A coastline mask with resolution 0.01 degrees (OZMASK_1K) was generated from the current extent of the Australian coastline and surrounding islands defined by the GEODATA Coast 1:100,000 topographic vector data series (Geoscience Australia 2004 ) (details given in Williams et al. 2010a). This coastline incorporates some minor land and island locations that are not yet captured by the 9-second digital elevation model (Hutchinson et al. 2008) .

The filling of lakes and voids may have implications for communication or interpretation of subsequent terrestrial biodiversity models using these data, where taxa are geographically predicted to occur where they would not be expected to be found. Outputs should therefore be masked to reinstate coastline and lakes. The GEODATA coastline mask was created to better reflect coastline and lakes in modelled outputs.

Data time period: 2009-01-01 to 2010-01-01

This dataset is part of a larger collection

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153.64,-9 153.64,-43.8 112.9,-43.8 112.9,-9 153.64,-9

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Subjects
Australia | Conservation and Biodiversity | Earth Sciences | Engineering | Environmental Science and Management | Environmental Sciences | Geomatic Engineering | Geospatial Information Systems | Physical Geography and Environmental Geoscience | Physical Geography and Environmental Geoscience Not Elsewhere Classified | Soil Sciences | Soil Chemistry (Excl. Carbon Sequestration Science) | Surfacewater Hydrology | distance to water feature | geomorphology | geophysics | gravity | land surface physiography | magnetics | soil | soil attributes | soil fertility | soil nutrients | soil properties | solum | terrain | topography |

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Other Information
Williams, Kristen J.; Stein, Janet L.; Storey, Randal; Ferrier, Simon; Austin, Mike; Smyth, Anita.; Harwood, Tom (2010): 0.01 degrees stack of climate layers for continental analysis of biodiversity pattern, version 1.0 v1. CSIRO. Data Collection.

uri : https://data.csiro.au/dap/landingpage?pid=csiro:5821

Williams, Kristen J.; Ferrier, Simon; Rosauer, Dan; Yeates, David; Manion, Glenn; Harwood, Tom; Stein, Janet L.; Faith, Daniel; Laity, Tania; Whalen, Anthony (2010a) Harnessing Continent-Wide Biodiversity Datasets for Prioritising National Conservation Investment. Canberra: A report prepared for the Department of Sustainability, Environment, Water, Population and Communities, Australian Government, Canberra, by CSIRO Ecosystem Sciences.

uri : https://publications.csiro.au/rpr/pub?list=SEA&pid=csiro:EP102983

Williams, Kristen J.; Ferrier, Simon; Rosauer, Dan; Yeates, David; Manion, Glenn; Harwood, Tom; Stein, Janet L.; Faith, Daniel; Laity, Tania; Whalen, Anthony (2010b) Harnessing Continent-Wide Biodiversity Datasets for Prioritising National Conservation Investment: Appendices. Canberra: A report prepared for the Department of Sustainability, Environment, Water, Population and Communities, Australian Government, Canberra, by CSIRO Ecosystem Sciences.

uri : https://publications.csiro.au/rpr/pub?list=SEA&pid=csiro:EP102983

ANZMet Lite (for viewing included XML metadata files which details the sources attribution for individual datasets

uri : http://spatial.gov.au/sites/default/files/legacy/osdm.gov.au/Metadata/ANZLIC%2Bmetadata%2Bresources/ANZMet%2BToolkit%2B%28final%2Bdraft%2B-%2B07.2009%29/default.html

Williams, Kristen J.; Belbin, Lee; Austin, Michael P.; Stein, Janet L.; Ferrier, Simon (2012) Which environmental variables should I use in my biodiversity model? International Journal of Geographic Information Sciences, 26(11): 2009-2047. DOI:10.1080/13658816.2012.698015

doi : http://doi.org/10.1080/13658816.2012.698015

Atlas of Living Australia

uri : http://www.ala.org.au/

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