Soil and water degradation processes in burned areas: Lessons learned from a nested approach

Ferreira, A. J. D.; Coelho, Catarina; Ritsema, C.J.; Boulet, Anne-Karine; Keizer, Jan Jacob

doi:10.1016/j.catena.2008.05.007

Cited by 108 publications

(128 citation statements)

References 70 publications

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“…Several authors have shown that although fire-dependent ecosystems, such as the Cerrado, have evolved in the presence of recurrent natural fires and are dependent on them to maintain their biodiversity, high human pressure through frequent burning may have negative impacts on species diversity [35,36]. Fire is commonly used in agricultural land management, affecting water flow and facilitating erosive processes [37], and promoting deterioration of physical and chemical soil characteristics, reducing its productive potential [38]. Recently, the human footprint was reported as being high to very high across the Cerrado, where only a few areas remain undisturbed [39].…”

Section: Study Area and Datamentioning

confidence: 99%

Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires

Pereira

Libonati

et al. 2017

Remote Sensing

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Abstract:We used the Visible Infrared Imaging Radiometer Suite (VIIRS) active fire data (375 m spatial resolution) to automatically extract multispectral samples and train a One-Class Support Vector Machine for burned area mapping, and applied the resulting classification algorithm to 300-m spatial resolution imagery from the Project for On-Board Autonomy-Vegetation (PROBA-V). The active fire data were screened to prevent extraction of unrepresentative burned area samples and combined with surface reflectance bi-weekly composites to produce burned area maps. The procedure was applied over the Brazilian Cerrado savanna, validated with reference maps obtained from Landsat images and compared with the Collection 6 Moderate Resolution Imaging Spectrometer (MODIS) Burned Area product (MCD64A1) Results show that the algorithm developed improved the detection of small-sized scars and displayed results more similar to the reference data than MCD64A1. Unlike active fire-based region growing algorithms, the proposed approach allows for the detection and mapping of burn scars without active fires, thus eliminating a potential source of omission error. The burned area mapping approach presented here should facilitate the development of operational-automated burned area algorithms, and is very straightforward for implementation with other sensors.

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Section: Study Area and Datamentioning

confidence: 99%

Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires

Pereira

Libonati

et al. 2017

Remote Sensing

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“…Among many fire characteristics, burn severity is particularly important for understanding the response of damaged forests to fire events. Many studies have found close relationships between burn severity and the various post-fire ecological and physical processes of forests such as seed source availability [1], tree regeneration and recruitment [2][3][4][5][6], tree mortality [7], soil runoff and erosion [8][9][10], soil chemical properties [11][12][13], and animal population and community dynamics [14][15][16] at both local and landscape levels [17]. Burn severity is arguably a main driving factor in determining the complex and dynamic post-fire interactions among various components of forest ecosystems [18].…”

Section: Introductionmentioning

confidence: 99%

Examining Spatial Variation in the Effects of Japanese Red Pine (Pinus densiflora) on Burn Severity Using Geographically Weighted Regression

2017

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Abstract:Burn severity has profound impacts on the response of post-fire forest ecosystems to fire events. Numerous previous studies have reported that burn severity is determined by variables such as meteorological conditions, pre-fire forest structure, and fuel characteristics. An underlying assumption of these studies was the constant effects of environmental variables on burn severity over space, and these analyses therefore did not consider the spatial dimension. This study examined spatial variation in the effects of Japanese red pine (Pinus densiflora) on burn severity. Specifically, this study investigated the presence of spatially varying relationships between Japanese red pine and burn severity due to changes in slope and elevation. We estimated conventional ordinary least squares (OLS) and geographically weighted regression (GWR) models and compared them using three criteria; the coefficients of determination (R 2 ), Akaike information criterion for small samples (AICc), and Moran's I-value. The GWR model performed considerably better than the OLS model in explaining variation in burn severity. The results provided strong evidence that the effect of Japanese red pine on burn severity was not constant but varied spatially. Elevation was a significant factor in the variation in the effects of Japanese red pine on burn severity. The influence of red pine on burn severity was considerably higher in low-elevation areas but became less important than the other variables in high-elevation areas. The results of this study can be applied to location-specific strategies for forest managers and can be adopted to improve fire simulation models to more realistically mimic the nature of fire behavior.

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“…It is commonly accepted that fire increases runoff and soil erosion (Benavides-Solorio & MacDonald, 2005;Cerdà & Doerr, 2005;Cerdà & Lasanta, 2005;Coelho et al, 2004;Ferreira et al, 2005Ferreira et al, , 2008Shakesby et al, 1993Shakesby et al, , 1996Shakesby et al, , 2002. Increased erosion after forest fire stems primarily from the destruction of vegetation and changes in the soil physical and hydrologic properties that reduce infiltration rates and increase availability of loose sediment (Ferreira et al, , 2008. The loss of vegetation and other ground cover due to wildfire reduces rainfall interception and attenuation, rainfall storage, and flow resistance (Martin & Moody, 2001).…”

Section: Discussionmentioning

confidence: 99%

“…The loss of vegetation and other ground cover due to wildfire reduces rainfall interception and attenuation, rainfall storage, and flow resistance (Martin & Moody, 2001). Rainfallgenerated runoff therefore accelerates more quickly and less is retained as pounded water, resulting in reduced residence times and reduced total infiltration (Ferreira et al, 2008). In the Mediterranean basin, potential for post-fire soil erosion is very high as heavy autumn rainfalls commonly occur after summer wildfires.…”

Section: Discussionmentioning

confidence: 99%

Soil Erosion Under Different Land Use and Cover Types in a Marginal Area of Portugal

Nunes¹

2011

Soil Erosion Studies

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Soil and water degradation processes in burned areas: Lessons learned from a nested approach

Cited by 108 publications

References 70 publications

Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires

Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires

Examining Spatial Variation in the Effects of Japanese Red Pine (Pinus densiflora) on Burn Severity Using Geographically Weighted Regression

Soil Erosion Under Different Land Use and Cover Types in a Marginal Area of Portugal

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