Skip to main content
USGS - science for a changing world

Stand Age Projections 2020-2029

Dates

Last Update
2015-11-02
Publication Date
2011-09-28
Time span for which resource(dataset) is relevant.
2011-01-01
Time span for which resource(dataset) is relevant.
2011-08-18

Citation

LCC Network Data Steward(Point of Contact), Arctic Landscape Conservation Cooperative(administrator), 2015-11-02(lastUpdate), 2011-09-28(Publication), Stand Age Projections 2020-2029, http://arcticlcc.org/products/3613c8ac-76d2-4ac8-9921-73f4295e8dac, https://www.sciencebase.gov/catalog/item/5a300b89e4b08e6a89d57d10

Summary

These rasters represent output from the Boreal ALFRESCO (Alaska Frame Based Ecosystem Code) model. Boreal ALFRESCO operates on an annual time step, in a landscape composed of 1 x 1 km pixels, a scale appropriate for interfacing with mesoscale climate and carbon models. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Coverage of this dataset includes much of the state of Alaska (but does exclude Southeastern AK, Kodiak Island, portions of the Alaska Peninsula, and the Aleutian Islands). ALFRESCO simulates [...]

Contacts

Attached Files

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

StandAge_alfresco_2020_2029.zip 20.13 MB
md_metadata.json 229.45 KB
metadata.xml
Potential Metadata Source

View
1.28 MB

Material Request Instructions

Arctic Landscape Conservation Cooperative(Data Owner)

Purpose

Boreal ALFRESCO was developed to simulate the response of subarctic vegetation to a changing climate and disturbance regime. The model simulates four major subarctic/boreal ecosystem types: upland tundra, black spruce forest, white spruce forest, and deciduous forest. These ecosystem types represent a generalized classification of the complex vegetation mosaic characteristic of the circumpolar arctic and boreal zones of Alaska. ALFRESCO is a state-and-transition model of successional dynamics that explicitly represents the spatial processes of fire and vegetation recruitment across the landscape (Rupp et al. 2000a). ALFRESCO does not model fire behavior, but rather models the empirical relationship between growing-season climate (e.g., average temperature and total precipitation) and total annual area burned (i.e., the footprint of fire on the landscape). ALFRESCO also models the changes in vegetation flammability that occurs during succession through a flammability coefficient that changes with vegetation type and stand age (Chapin et al. 2003). The fire regime is simulated stochastically and is driven by climate, vegetation type, and time since last fire (Rupp et al. 2000a, 2007). ALFRESCO employs a cellular automaton approach, where an ignited pixel may spread to any of the eight surrounding pixels. ‘Ignition’ of a pixel is determined using a random number generator and as a function of the flammability value of that pixel. Fire ‘spread’ depends on the flammability of the receptor pixel and any effects of natural firebreaks including non-vegetated mountain slopes and large water bodies, which do not burn. SNAP climate data can be used as ALFRESCO inputs, thus creating projections of the impacts of changing climate on fire regime. Model development and research has been funded by a series of grants from the National Science Foundation and the Joint Fire Sciences Program.

Additional Information

Identifiers

Type Scheme Key
urn:uuid urn:uuid 3613c8ac-76d2-4ac8-9921-73f4295e8dac

Item Actions

View Item as ...

Save Item as ...

View Item...