Data from: New methods provide a 300–year perspective on modern area burned in two wilderness areas of the southwest United States
Data files
Jun 02, 2025 version files 3 MB
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Farris_etal._data_release_final.zip
2.99 MB
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README.md
4.14 KB
Abstract
Climate change and increased fuels from fire exclusion drive recent increases in area burned and fire severity in dry conifer forests of the western United States. Recent increases in area burned are occurring against the backdrop of a large fire deficit caused by over a century of fire exclusion. A key land management question is whether fire regimes can be restored – i.e., can the fire deficit be paid off? Accurate estimates of historical area burned prior to fire exclusion (circa 1900) are difficult to derive and have rarely been calibrated or validated against modern fires, leaving their accuracy uncertain. In this study, we applied multiple time-series methods to tree-ring fire-scar data for the first time, including a multi-model ensemble, time-varying predictor subset calibration, and multiple measures of model uncertainty and validation. We focused on two southwestern U.S. wilderness areas – Saguaro National Park (SAGU) and the Gila Wilderness (GILA) – that have abundant and well-documented modern fires due to decades of active fire restoration, allowing us to test whether the area burned has been restored to historical levels.
Our ensemble of ten fire-scar models accurately estimated area burned by modern fires with no consistent biases. While individual models did not differ significantly from mapped fires, the ensemble solution reduced overall bias and uncertainty. Each member model has distinct strengths that make them suitable for specific applications (e.g., the synchrony model is easily applied, and Thiessen polygons provide spatially explicit estimates). The accurate reconstruction of the modern area burned from relatively sparse fire scar data at GILA suggests that dense grids are not necessary for accurate reconstructions. Our findings reveal that despite dropping to near zero in the early 20th century, the area burned in recent decades is within historical levels at GILA and trends toward historical levels at SAGU. These results highlight the magnitude of the post-1900 fire deficit and demonstrate that fire management can restore the historically prevalent, ecologically important process of widespread, frequent, low- to moderate-severity fire in dry conifer forests.
Description of the data and file structure
These files contain all spatial layers (in ArcGIS shapefile format) used to conduct this study, including the fire atlas data maps, fire ignition point files, and the study area boundaries. They are organized by study area into two directories -- GILA and SAGU.
The fire perimeter data were obtained from Saguaro National Park, and the Gila National Forest.
SPATIAL DATA:
These files contain all spatial layers (in ArcGIS shapefile format) used to conduct this study, including the fire atlas data maps, fire ignition point files, and the study area boundaries. They are organized by study area into two directories:
SAGU Directory:
- SAGU_CoreStudyArea.zip – the outline of the SAGU study area. It has XML which is ArcGIS metadata for a shapefile named SAGU_CoreStudyArea, describing its creation, lineage, distribution, spatial structure, and attributes. It documents processing history (like field deletions and exports), file location, data format (shapefile), and feature schema for GIS usage.
Attributes:
AREA: Area of the study area in square meters
PERIMETER: Perimeter of the study area polygon in meters
- SAGU fire polygons through 2013.shp– fire atlas data for the study area between 1937 and 2013, as described in Hunter et al. (2013):
Attributes:
FIRE_NAME: Official name of the fire
YEAR: Calendar year the fire burned
AREA: Area of individual fire polygons in square meters
PERIMETER: length of individual fire polygons in meters
- Rx burns_93_2005.shp – this file contains management-ignited prescribed burns that were not included in the SAGU fire polygons through 2013.shp shapefil
Attributes:
NAME: Official name of the prescribed fire
YEAR: Calendar year the fire burned
Area: area of individual prescribed burn polygons in square meters
- Deer Head_2014_Finaly_poly_u12nad83.shp – A wildland fire polygon from 2014 that burned after the *SAGU fire polygons through 2013.shp *was compiled in 2013.
Attributes:
FireName: Official name of the fire
YEAR: Calendar year the fire burned
- Fire_points_through 2012.shp– point file of fire ignition locations in Saguaro National Park. These include all fires that were too small to be mapped or for which maps are lacking.
Attributes:
FIRE_NAME: Official name of the fire
YEAR: Calendar year the fire burned
T_Acres: Reported acres (populated by Saguaro National Park staff)
GILA Directory:
- Gila_all_fires through 2013.shp – Fire atlas data for the Gila National Forest used in Hunter et al. (2014).
Attributes:
FIRE_NAME: Official name of the fire
FIRE_YEAR: Calendar year the fire burned
AREA: Area of individual fire polygons in square meters
- Gila_Fires_2014-2016.shp – Fire atlas data between 2014 and 2016 obtained from the Gila National Forest
Attributes:
FIRENAME: Official name of the fire
FIREYEAR: Calendar year the fire burned
AREA: Area of individual fire polygons in square meters
- FirePoints1970-2016.shp – Ignitions points for fires in the Gila National Forest (obtained from Gila National Forest in 2016). These include fires that were too small to be mapped or for which maps are lacking.
Attributes:
FIRENAME: Official name of the fire
FIREYEAR: Calendar year the fire burned
TOTALACRES: Reported acres (populated by Gila National Forest)
- GILA_core_study_area.shp – The study area boundary, which is the White Creek Watershed on the Gila National Forest
Attributes:
ha: Hectares of the watershed polygon
