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Modeling fire and other disturbance processes using LANDISAuthor(s): Stephen R. Shifley; Jian Yang; Hong He
Source: In: Hutchinson, Todd F., ed. Proceedings of the 3rd fire in eastern oak forests conference; 2008 May 20-22; Carbondale, IL. Gen. Tech. Rep. NRS-P-46. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 107-115.
Publication Series: Other
Station: Northern Research Station
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DescriptionLANDIS is a landscape decision support tool that models spatial relationships to help managers and planners examine the large-scale, long-term, cumulative effects of succession, harvesting, wildfire, prescribed fire, insects, and disease. It can operate on forest landscapes from a few thousand to a few million acres in extent. Fire modeling capabilities in LANDIS are detailed, but intuitive. Modeled fires kill trees based on the fire intensity and each tree species' fire tolerance, and spatially explicit ignition probability maps can be incorporated but are not required. As the LANDIS model runs through many annual or 10-year iterations, it illustrates how and where forest vegetation is expected to change in response to succession, fire, harvesting, and other disturbances. LANDIS output can be mapped, summarized, and linked to other attributes of interest, such as wildlife habitat suitability. Although it is possible to run the LANDIS model using generic or default values, the real benefits come when the model is calibrated to reflect the unique conditions associated with a specific forest ecosystem.
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CitationShifley, Stephen R.; Yang, Jian; He, Hong. 2009. Modeling fire and other disturbance processes using LANDIS. In: Hutchinson, Todd F., ed. Proceedings of the 3rd fire in eastern oak forests conference; 2008 May 20-22; Carbondale, IL. Gen. Tech. Rep. NRS-P-46. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 107-115.
- Landscape Builder: software for the creation of initial landscapes for LANDIS from FIA data
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- Spatially explicit and stochastic simulation of forest landscape fire disturbance and succession
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