Dataset

9-second gridded continental Australia novel ecological environments for Mammals 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: MAM_R2)

Commonwealth Scientific and Industrial Research Organisation
Tom Harwood (Managed by)
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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:doi10.4225/08/5487E0CB15525&rft.title=9-second gridded continental Australia novel ecological environments for Mammals 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: MAM_R2)&rft.identifier=10.4225/08/5487E0CB15525&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=Novel ecological environments for Mammals as a function of change in long term (30 year average) climates between the present (1990 centred) and projected future (2050 centred) under the MIROC5 model (RCP 8.5) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. This metric describes the nature of the projected 2050 centred future environmental conditions for each 9s grid square. Using a Generalised Dissimilarity Model of compositional turnover (the effects of changing environment on changing species), each future location is compared with the continent in the present. For each cell, the metric looks out to all other cells in the continent, and records the ecological similarity of the future state of the cell to the most similar cell in the present. A value of 1 indicates that the future environment is similar to a current location in the present, and perfect analogue can found somewhere in Australia. A value of 0 indicates that the most similar environment to be found in the present is ecologically so different that we would expect no species in common, i.e. there are no current analogues for this environment; it is novel. Intermediate values show how ecologically similar the most similar cell is. However, no weight is given to the proximity of the most similar cell. The environment may be similar, but the cells thousands of kilometres apart. This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org. Data are provided in two forms: 1. Zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. 2. ArcGIS layer package (*.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend. Additionally a short methods summary is provided in the file 9sMethodsSummary.pdf for further information.Tom HA Layers in this 9s series use a consistent naming convention: BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS e.g. A_90_CAN85_S or R_90_MIR85_L where BIOLOGICAL GROUP is A: Mammals, M: mammals, R: reptiles and V: vascular plants&rft.creator=Harwood, Tom &rft.creator=Williams, Kristen &rft.creator=Ferrier, Simon &rft.creator=Ota, Noboru &rft.creator=Perry, Justin &rft.date=2014&rft.edition=v2&rft.coverage=northlimit=-8; southlimit=-43.7425; westlimit=112.9; eastLimit=154; projection=WGS84&rft_rights=All Rights (including copyright) CSIRO Australia 2014.&rft_rights=CSIRO Data Licence https://wiki.csiro.au/display/dmsdoc/CSIRO+Data+Licence&rft_subject=Mammals&rft_subject=Earth Science&rft_subject=Biological Classification&rft_subject=Animals/vertebrates&rft_subject=Generalised Dissimilarity Model&rft_subject=Scaled Environmental Variables&rft_subject=1990 Climates&rft_subject=Historical Climates, 2050 Future Climates&rft_subject=Adaptnrm&rft_subject=Biodiversity&rft_subject=Global Change Biology&rft_subject=Biological Sciences&rft_subject=Other Biological Sciences&rft_subject=Ecological Impacts of Climate Change&rft_subject=Environmental Sciences&rft_subject=Ecological Applications&rft_subject=Community Ecology&rft_subject=Ecology&rft_subject=Conservation and Biodiversity&rft_subject=Environmental Science and Management&rft.type=dataset&rft.language=English Go to Data Provider

Licence & Rights:

Non-Commercial Licence view details
Csiro Data Licence

CSIRO Data Licence
https://wiki.csiro.au/display/dmsdoc/CSIRO+Data+Licence

All Rights (including copyright) CSIRO Australia 2014.

Access:

Open view details

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

Brief description

Novel ecological environments for Mammals as a function of change in long term (30 year average) climates between the present (1990 centred) and projected future (2050 centred) under the MIROC5 model (RCP 8.5) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover.

This metric describes the nature of the projected 2050 centred future environmental conditions for each 9s grid square. Using a Generalised Dissimilarity Model of compositional turnover (the effects of changing environment on changing species), each future location is compared with the continent in the present. For each cell, the metric looks out to all other cells in the continent, and records the ecological similarity of the future state of the cell to the most similar cell in the present. A value of 1 indicates that the future environment is similar to a current location in the present, and perfect analogue can found somewhere in Australia. A value of 0 indicates that the most similar environment to be found in the present is ecologically so different that we would expect no species in common, i.e. there are no current analogues for this environment; it is novel. Intermediate values show how ecologically similar the most similar cell is. However, no weight is given to the proximity of the most similar cell. The environment may be similar, but the cells thousands of kilometres apart.

This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org.

Data are provided in two forms:
1. Zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file.
2. ArcGIS layer package (*.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend.

Additionally a short methods summary is provided in the file 9sMethodsSummary.pdf for further information.Tom HA

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS
e.g. A_90_CAN85_S or R_90_MIR85_L
where BIOLOGICAL GROUP is A: Mammals, M: mammals, R: reptiles and V: vascular plants

Data time period: 2014-11-30 to 2014-11-30

154,-8 154,-43.7425 112.9,-43.7425 112.9,-8 154,-8

133.45,-25.87125

Identifiers