Relationships between fire severity and post-fire landscape pattern following a large mixed-severity fire in the Valle Vidal, New Mexico, USA

Hayes, James J.; Robeson, Scott M.

doi:10.1016/j.foreco.2011.01.023

Cited by 29 publications

(12 citation statements)

References 37 publications

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“…The results of the landscape spatial configuration analyses agreed in general with those reported in similar studies regarding the marked relationship between landscape heterogeneity and the occurrence and damage of natural disturbances (Lindemann and Baker 2001;Hayes and Robeson 2011). As observed by Mori and Lertzman (2011) in their study on subalpine Canadian forests, we found highest landscape heterogeneity and patch richness in areas where the impact of storms in terms of forest damage was highest (L1 and L3).…”

Section: Discussionsupporting

confidence: 89%

Assessing post-storm forest dynamics in the pyrenees using high-resolution LIDAR data and aerial photographs

et al. 2015

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Section: Discussionsupporting

confidence: 89%

Assessing post-storm forest dynamics in the pyrenees using high-resolution LIDAR data and aerial photographs

et al. 2015

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“…These landscape metrics were also adapted for modeling of urban growth and land-use change [55][56][57] and landscape heterogeneity [58]. In the study of fire, the spatial metrics were used to compare measures (size, shape, arrangement of patches and geographic orientation) of burnt area [59]; forest fragments after fire [60]; fire severity [61][62][63] or changes in vegetation patterns associated with fire regimes [64,65]. Landscape metrics of burnt areas were calculated using the Patch Analyst public domain software [54] …”

Section: Landscape Metrics To Describe Burnt Area Patternsmentioning

confidence: 99%

Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil

et al. 2014

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Abstract:The Cerrado is the second largest biome in Brazil after the Amazon and is the savanna with the highest biodiversity in the world. Serra Tombador Natural Reserve (STNR) is the largest private reserve located in Goiás State, and the fourth largest in the Cerrado biome. The present study aimed to map the burnt areas and to describe the spatial patterns of fire recurrence and its interactions with the classes of land-cover that occurred in STNR and its surroundings in the period between 2001 and 2010. Several Landsat TM images acquired around the months of July, August and September, coinciding with the region's dry season when fire events intensify, were employed to monitor burnt areas. Fire scars were mapped using the supervised Mahalanobis-distance classifier and further refined using expert visual interpretation. Burnt area patterns were described by spatial landscape metrics. The effects of fire on landscape structure were obtained by comparing results among different land-cover classes, and results summarized in terms of fire history and frequencies. During the years covered by the study, 69% of the areas analyzed had fire events. The year with the largest burnt area was 2004, followed by 2001, 2007 and 2010. Thus, the largest fire events occurred in a 3-year cycle, which is compatible with other OPEN ACCESS Remote Sens. 2014, 6 9874 areas of the Brazilian savanna. The regions with higher annual probabilities of fire recurrence occur in the buffer zone around the park. The year 2004 also had the highest number of burnt area patches (831). In contrast, the burnt area in 2007 showed the most extensive fires with low number of patches (82). The physiognomies that suffered most fires were the native savanna formations. The study also identified areas where fires are frequently recurrent, highlighting priority areas requiring special attention. Thus, the methodology adopted in this study assists in monitoring and recovery of areas affected by fire over time.

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“…Characterising severity and ecological condition of the post-fire environment (e.g. distance to seed source, vegetation structure and composition, likelihood of soil erosion) is important for forecasting future effects on ecological systems (Lentile et al 2006;Hayes and Robeson 2011). The majority of severity assessments focus on either the immediate post-fire changes or effects in the year following the fire, especially when severity products from the Monitoring Trends in Burn Severity (MTBS) project are utilised (Cocke et al 2005; Lentile et al 2006Lentile et al , 2009Kolden et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Indicators of burn severity at extended temporal scales: a decade of ecosystem response in mixed-conifer forests of western Montana

Lewis

Hudak

Robichaud

et al. 2017

Int. J. Wildland Fire

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Abstract. We collected field and remotely sensed data spanning 10 years after three 2003 Montana wildfires to monitor ecological change across multiple temporal and spatial scales. Multiple endmember spectral mixture analysis was used to create post-fire maps of: char, soil, green (GV) and non-photosynthetic ( Initial estimates of char and NPV from the HS images were significantly correlated with their ground-measured counterparts (r ¼ 0.60 (P ¼ 0.03) and 0.68 (P ¼ 0.01) respectively), whereas HS GV and Landsat GV were correlated with canopy GV (r ¼ 0.75 and 0.70 (P ¼ 0.003) respectively). HS imagery had stronger direct correlations with all classes of fine-scale ground data than Landsat and also had stronger predictive correlations with 10-year canopy data (r ¼ 0.65 (P ¼ 0.02) to 0.84 (P ¼ 0.0003)). There was less than 5% understorey GV cover on the sites initially, but by 2013, it had increased to nearly 60% regardless of initial condition. The data suggest it took twice as long for understorey GV and NPV to replace char and soil as primary ground cover components on the highburn-severity sites compared with other sites.

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Relationships between fire severity and post-fire landscape pattern following a large mixed-severity fire in the Valle Vidal, New Mexico, USA

Cited by 29 publications

References 37 publications

Assessing post-storm forest dynamics in the pyrenees using high-resolution LIDAR data and aerial photographs

Assessing post-storm forest dynamics in the pyrenees using high-resolution LIDAR data and aerial photographs

Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil

Indicators of burn severity at extended temporal scales: a decade of ecosystem response in mixed-conifer forests of western Montana

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