Intermediate-scale analysis of landscape characteristics affecting edge formation in burned forests in Samcheok, Korea

Lee, Sang‐Woo; Won, Myoung-Soo; Lee, Joo-Mee; Kim, Haigyoung

doi:10.1007/s11629-013-2644-2

Cited by 7 publications

(17 citation statements)

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“…A unique identification code was assigned to each grid cell and the mean value of all selected variables within each grid cell was computed with GIS using the overlay function. Previous studies have shown that this spatial resolution can effectively capture complex topographic characteristics and burn severity (e.g., [10,30]). Forest fire is very selective to forest cover type.…”

Section: Spatial Unit Of Analysis and Mapping The Percentage Of Red Pmentioning

confidence: 99%

“…Forest fires are significantly associated with landslides [5], soil microbial processes [6], seed germination and sprouting [7], live and dead vegetation structure [8,9] and composition [10] and carbon budgets [11]. In particular, burn severity is a critical factor in understanding the degree of influence of forest fires on forest ecosystems, post-fire vegetation responses and heterogeneity of vegetation composition and configuration in burned areas by affecting the availability of seed sources, sprouting rates, soil humidity, soil nutrients, lights, wind speed, alien plant invasion, tree mortality, animal populations and community dynamics [10,[12][13][14][15] at various spatial and temporal scales. Therefore, burn severity is the most critical factor in determining the dynamics and complexity of the post-fire response of a damaged forest ecosystem to a fire event [10,16].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, burn severity is a critical factor in understanding the degree of influence of forest fires on forest ecosystems, post-fire vegetation responses and heterogeneity of vegetation composition and configuration in burned areas by affecting the availability of seed sources, sprouting rates, soil humidity, soil nutrients, lights, wind speed, alien plant invasion, tree mortality, animal populations and community dynamics [10,[12][13][14][15] at various spatial and temporal scales. Therefore, burn severity is the most critical factor in determining the dynamics and complexity of the post-fire response of a damaged forest ecosystem to a fire event [10,16]. Due to the strong impacts of burn severity on forest ecosystems, understanding how burn severity is influenced by various environmental factors during a fire can offer profound insights to minimize economic loss, preserve forest ecosystems, practice fire-resilient forest management strategies and plan effective post-fire restoration for planners and decision makers.…”

Section: Introductionmentioning

confidence: 99%

“…The three primary factors (i.e., the fire triangle) affecting burn severity are topography (e.g., elevation, slope, aspect, topographic position, solar radiation and topographic wetness), weather (e.g., temperature, relative moisture, wind speed, drought factor and regional climate) and fuel (e.g., forest cover type, composition and configuration of forest, shrubs, heterogeneity and tree density) [10,18]. Some studies have shown that topographic characteristics are the most significant variables affecting burn severity.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, many fuel traits directly impact burn severity. Some of the primary traits of fuels related to burn severity are spatial distribution [10], density [25][26][27], moisture [28], fuel type [3,29] and pre-fire forest heterogeneity [10].…”

Section: Introductionmentioning

confidence: 99%

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Complex Relationships of the Effects of Topographic Characteristics and Susceptible Tree Cover on Burn Severity

2018

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Forest fires and burn severity mosaics have profound impacts on the post-fire dynamics and complexity of forest ecosystems. Numerous studies have investigated the relationship between topographic variables and susceptible tree covers with regard to burn severity. However, these relationships have not been fully elucidated, because most studies have assumed linearity in these relationships. Therefore, we examined the linearity and the nonlinearity in the relationships between topographic variables and susceptible tree covers with burn severity by comparing linear and nonlinear models. The site of the Samcheok fire, the largest recorded forest fire in Korea, was used as the study area. We generated 802 grid cells with a 500-m resolution that encompassed the entire study area and collected a dataset that included the topographic variables and percentage of red pine trees, which are the most susceptible tree cover types in Korea. We used conventional linear models and generalized additive models to estimate the linear and the nonlinear models based on topographic variables and Japanese red pine trees. The results revealed that the percentage of red pine trees had linear effects on burn severity, reinforcing the importance of silviculture and forest management to lower burn severity. Meanwhile, the topographic variables had nonlinear effects on burn severity. Among the topographic variables, elevation had the strongest nonlinear effect on burn severity, possibly by overriding the effects of susceptible fuels over elevation effects or due to the nonlinear effects of topographic characteristics on pre-fire fuel conditions, including the spatial distribution and availability of susceptible tree cover. To validate and generalize the nonlinear effects of elevation and other topographic variables, additional research is required at different fire sites with different tree cover types in different geographic locations.

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Section: Spatial Unit Of Analysis and Mapping The Percentage Of Red Pmentioning

confidence: 99%