Spatial and temporal corroboration of a fire-scar-based fire history in a frequently burned ponderosa pine forest

• Published in: Ecological applications 2010-09, Vol.20 (6), p.1598-1614
• Main Authors: Farris, Calvin A., Baisan, Christopher H., Falk, Donald A., Yool, Stephen R., Swetnam, Thomas W.
• Format: Article
• Language: English
• Subjects: Arizona; Coniferous forests; Ecosystem; empirical corroboration; Environmental Monitoring; Fire ecology; Fire history; Fire regimes; Fire scars; fire-scar data; Fires; Forest fires; landscape scale; Mica; National Park Service Fire Atlas maps; National parks; Pinus ponderosa; Pinus ponderosa - physiology; Polygons; ponderosa pine; Saguaro National Park; southern Arizona; Thiessen polygons; Time Factors; Trees - physiology; USA
• ISSN: 1051-0761; 1939-5582
• DOI: 10.1890/09-1535.1

Fire scars are used widely to reconstruct historical fire regime parameters in forests around the world. Because fire scars provide incomplete records of past fire occurrence at discrete points in space, inferences must be made to reconstruct fire frequency and extent across landscapes using spatial networks of fire-scar samples. Assessing the relative accuracy of fire-scar fire history reconstructions has been hampered due to a lack of empirical comparisons with independent fire history data sources. We carried out such a comparison in a 2780-ha ponderosa pine forest on Mica Mountain in southern Arizona (USA) for the time period 1937-2000. Using documentary records of fire perimeter maps and ignition locations, we compared reconstructions of key spatial and temporal fire regime parameters developed from documentary fire maps and independently collected fire-scar data ( n = 60 plots). We found that fire-scar data provided spatially representative and complete inventories of all major fire years (>100 ha) in the study area but failed to detect most small fires. There was a strong linear relationship between the percentage of samples recording fire scars in a given year (i.e., fire-scar synchrony) and total area burned for that year ( y = 0.0003 x + 0.0087, r 2 = 0.96). There was also strong spatial coherence between cumulative fire frequency maps interpolated from fire-scar data and ground-mapped fire perimeters. Widely reported fire frequency summary statistics varied little between fire history data sets: fire-scar natural fire rotations (NFR) differed by