2012
DOI: 10.3390/f3030445
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Index for Characterizing Post-Fire Soil Environments in Temperate Coniferous Forests

Abstract: Many scientists and managers have an interest in describing the environment following a fire to understand the effects on soil productivity, vegetation growth, and wildlife habitat, but little research has focused on the scientific rationale for classifying the post-fire environment. We developed an empirically-grounded soil post-fire index (PFI) based on available science and ecological thresholds. Using over 50 literature sources, we identified a minimum of five broad categories of post-fire outcomes: (a) un… Show more

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Cited by 38 publications
(42 citation statements)
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“…The soil burn severity class system corresponds to the postfire index discussed by Jain et al (2012) and depends on the coverage of forest floor remaining and oxidation level (i.e., color) of the mineral soils. Because the index is based on the post-fire forest floor cover percentage, it is possible for forest floor mass to be lost when compared with the pre-fire condition without changing coverage.…”
Section: Fire Severity Estimatesmentioning
confidence: 99%
“…The soil burn severity class system corresponds to the postfire index discussed by Jain et al (2012) and depends on the coverage of forest floor remaining and oxidation level (i.e., color) of the mineral soils. Because the index is based on the post-fire forest floor cover percentage, it is possible for forest floor mass to be lost when compared with the pre-fire condition without changing coverage.…”
Section: Fire Severity Estimatesmentioning
confidence: 99%
“…The severity of a fire describes the magnitude of impact to an ecosystem, and is represented by a wide variety of definitions and metrics (Keeley, 2009;Jain et al, 2012;Morgan et al, 2014). Keeley (2009) provided a standardized definition of fire severity as "aboveground and belowground organic matter consumption from fire" and he includes fire-caused plant mortality as a type of organic matter consumption.…”
Section: Introductionmentioning
confidence: 99%
“…Efforts to develop and apply standard indices for characterizing fire severity are relatively recent and include remote sensing approaches Miller and Thode, 2007;Robichaud et al, 2007) as well as field classification of composite [e.g., Composite Burn Index (CBI), ] and stratrum-specific impacts (NPS, 2003;Keeley, 2009;Jain et al, 2012). Field indices classify fire severity based on the extent of organic matter loss or decomposition (i.e., using metrics such as tree crown scorch, tree mortality, woody fuel consumption, loss of soil organic horizons, etc.…”
Section: Introductionmentioning
confidence: 99%
“…For different ranges of burn severities, GeoCBI is more strongly correlative to spectral reflectance than CBI [158]. Recently, the Weighted Composite Burn Index (WCBI) [138,155] and the Post Fire Index (PFI) [160] have also been proposed to estimate burn severity and post-fire soil conditions from field measurements, as well as to validate remote sensing measurements. Burn severity can also be assessed by visual interpretations and categorizing the characteristics of post-fire vegetation and soil, including the proportion of live trees, tree mortality, basal area [151,161,162], fuel biomass reduction and canopy mortality [163], Leaf Area Index [164] and the number of standing tree death and trees down, soil exposure and organic layer depth [66,74,77].…”
Section: Field-based Measurement Of Burn Severitymentioning
confidence: 99%
“…Even though field-based indices, such as CBI and GeoCBI, and spectral indices, such as NBR, dNBR and RdNBR, are the most widely adopted combination in the investigation of burn severity, they are not yet standard methods for evaluating burn severity in either the remote sensing or fire science communities [21,160]. The assessment of burn severity from both in situ and remotely sensed data is also not always available.…”
Section: Classification Of Remotely Sensed Data To Burn Severity Classesmentioning
confidence: 99%