Title:

Landscape Simulator (LSim) replicate data resulting from the use of wildfire as a management strategy to restore resiliency to ponderosa pine forests in the southwest United States

Author(s):

Young, Jesse D.

Publication Year:

2022

How to Cite:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Young, Jesse D. 2022. Landscape Simulator (LSim) replicate data resulting from the use of wildfire as a management strategy to restore resiliency to ponderosa pine forests in the southwest United States. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0022

Abstract:

Simulation modeling was used to examine long-term tradeoffs and synergies of alternative land management strategies by combining two wildfire management alternatives with three levels of contemporary forest restoration treatments on a 778,000-hectare landscape over 56 years (2022-2078) using data from 2000-2019. Forest Service lands within the study area where restoration treatments are allowed, include 237,218 hectares across the Kaibab and Coconino National Forests. The data within this package are either produced by the Landscape Simulator (LSim) for these forested lands or used to summarize or visualize these data. The foundation of the simulated data is built around forest growth and mortality simulations for forest stands via the Forest Vegetation Simulator, and wildfire activity via the large Fire Simulator. These simulated data include a temporal accounting of forest stands treated by mechanical thinning and prescribed fire and burned by wildfire; tree stand characteristics by tree species (trees per acre; basal area, etc.), and fire-induced mortality, as well as wildfire polygons complete with wildfire characteristics. Data needed to summarize the simulated data include stand characteristics, and a record of which tree stands were included within our study area, as well as a spatial representation of planning areas used to clip wildfire polygons. Spatial data included for visualization are planning area polygons and tree stand polygons.

Keywords:

environment; Ecology, Ecosystems, & Environment; Landscape ecology; Environment and People; Impact of people on environment; Fire; Fire effects on environment; Fire suppression, pre-suppression; Wildland/urban interface; fire severity; forest management; landscape simulator; LSim; old growth; patch dynamics; resource objective wildfire; wildfire management; Arizona; Kaibab National Forest; Coconino National Forest

Related publications:

• Young, Jesse D.; Ager, Alan A.; Thode, Andrea E. 2022. Using wildfire as a management strategy to restore resiliency to ponderosa pine forests in the southwestern United States. Ecosphere. 13(5): e4040. https://doi.org/10.1002/ecs2.4040 https://research.fs.usda.gov/treesearch/64482

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  • RDS-2022-0022_Figures_Spatial_Tabular_Data.zip (7.83 MB; Checksum)
  • RDS-2022-0022_Replicate_Data.zip (3.2 GB; Checksum)

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