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The authors examined ponderosa pine stands using historic General Land Office (GLO) land survey data to reconstruct forest structure and fire regimes of pre-widespread European settlement on the Coconino Plateau and Grand Canyon National Park.
The authors sampled plots eight years post-wildfire that had been thinned and burned under prescription prior to the Rodeo-Chediski fire to examine differences between areas that burned at high and low severity with or without treatments pre-fire. They specifically examined post-fire species composition, exotic species response, and ponderosa pine regeneration.
This article examines the relationship between vegetation and topography on prescribed fire severity and the effects on subsequent wildfire.
The authors quantified the structure and composition of old-growth conifer forest stands in northwestern Mexico. They related this information to fire regime history data from Fulé et al. (2012) to determine relationships between regional climate variability, fire and forest structure since approximately 250 years ago to today.
The authors reconstructed the historical fire regime of the Colorado Plateau region over the previous 1,416 years to examine changes in the fire regime in response to climate variation, specifically periods of drought, and compare models of area burned and fire frequency in relation to climate before and after approximately 1600 CE.
The authors studied the effects of time since fire on the structural development of regeneration and complexity in pinyon-juniper woodlands along a long-term chronosequence of ~370 years.
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 sampled post-fire surface fuels, woody debris and regeneration along a chronosequence of eighteen years within ponderosa pine stands that burned at high severity to understand how surface fuels change with time since fire.