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Forest exposure (vulnerability) index, 2041-2060, based on MIROC-ESM-CHEM RCP45

Dates

Start Date
2041
End Date
2060
Publication Date

Citation

2015, Forest exposure (vulnerability) index, 2041-2060, based on MIROC-ESM-CHEM RCP45: .

Summary

Exposure (vulnerability) index for the future time period (2041-2060) representing projected climate conditions from the Model for Interdisciplinary Research on Climate, Earth System Model, Chemistry Coupled (MIROC-ESM-CHEM) and the rcp45 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 - 10%; still very [...]

Contacts

Point of Contact :
Mark Schwartz

Attached Files

Click on title to download individual files attached to this item.

Extension: MI_rcp45_2041_2060.zip
MI_rcp45_2041_2060.tif 6.88 MB
MI_rcp45_2041_2060.tif-ColorRamp.SLD 2.07 KB
MI_rcp45_2041_2060.tif.clr 272 Bytes
MI_rcp45_2041_2060.tif.xml 7.38 KB
MI_rcp45_2041_2060_export.xml
Original FGDC Metadata

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3.63 KB

Purpose

The Forest Vulnerability Index measures the projected exposure to climate stress, and can be used as an estimate of the likelihood of forest cover change given a perturbation. Four projected climate scenarios were evaluated for this project: 1) GCM : MRI-CGCM3, RCP45; 2) GCM : MRI-CGCM3, RCP85; 3)GCM : MIROC-ESM-CHEM, RCP45; 4)GCM : MIROC-ESM-CHEM, RCP85. For each scenario, two future time periods were modeled (2041-2060 and 2061-2080). The primary output product is a set of vegetation exposure rasters (see "exposure" folder), which contain the exposure scores for every 300 x 300 meter cell on the landscape. These can be spatially associated with the modeled vegetation types using the vegetation raster ("landfire_veg_sw_300m.tif" in the "veg" folder). See the XML metadata files associated with each raster file for additional information specific to the dataset.

Map

Spatial Services

ScienceBase WMS

ScienceBase WCS

Communities

  • National and Regional Climate Adaptation Science Centers
  • Southwest CASC

Tags

Provenance

Data source
Input directly

Additional Information

Raster Extension

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maxX-811875.0
files
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dateUploadedFri Sep 25 12:04:06 MDT 2015
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contentTypetext/plain
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nameMI_rcp45_2041_2060.tif.xml
contentTypeapplication/xml
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imageWidth580
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dateUploadedFri Sep 25 12:03:28 MDT 2015
nameMI_rcp45_2041_2060_export.xml
contentTypeapplication/fgdc+xml
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dateUploadedFri Sep 25 12:03:28 MDT 2015
originalMetadatatrue
nameMI_rcp45_2041_2060.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__8f/80/ef/8f80ef90cf6b84fad434488eabdcb75deab625f1
imageWidth580
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dateUploadedFri Sep 25 12:08:50 MDT 2015
nameMI_rcp45_2041_2060
rasterTypeGeoTIFF

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