The authors reconstructed both regional climate teleconnections (ENSO, PDO, and AMO) and historical fire occurrence using tree-ring analysis. Their objectives were to analyze the relationship between moisture variability and regional, individual and phase combinations of, ENSO, PDO, and AMO and then compare this climate variability to fire occurrence in upper elevation forests across the southwest.

The authors examined the relationship between climate and fire severity across coniferous forests of the western U.S.

The authors modeled future global fire season severity due to climate change using the Cumulative Severity Rating, a weather-based fire danger metric, of the Canadian Forest Fire Danger Rating System.

The authors looked at the relationships between a diverse set of standard (i.e. temperature and precipitation) and biophysical variables related to water balance and fire danger indices to detect their relationships with the interannual variability of area burned derived from the Monitoring Trends in Burn Severity dataset (1984 – 2010).

The authors modeled the effects of wilderness on the fire size distribution along forest gradients, while accounting for the effects of topography, weather, and climate.

The authors assessed the climate conditions preceding and during a period of intense fire activity across the western U.S. in the summer of 1910. They further evaluated other large regional fire years to determine if analogous climate conditions occurred during those periods of high fire activity.

The authors examined the relationship between fire frequency in ponderosa pine forests and their proximity to grassland and shrubland sites as well as the sensitivity to climate variation also related to the adjacency to these sites.

The authors investigated the relative influence of top-down climate controls versus bottom-up vegetation controls on the timing and spatial pattern of fire in a historically fragmented and patchy ponderosa pine landscape.

The authors derived future fire probability at a 0.5° resolution from a range of global climate models. Climate variables consisted of precipitation, the precipitation of the driest month, temperature seasonality, the mean temperature of the wettest month, and the mean temperature of the warmest month.

The authors assessed fire-on-fire interactions in three wilderness areas to see how past fire area burned and fire severity affect subsequent fire.