Historic and current fire regimes in the Great Xing’an Mountains, northeastern China: Implications for long-term forest management

Chang, Yu; He, Hong S.; Hu, Yuanman; Bu, Rencang; Li, Xiuzhen

doi:10.1016/j.foreco.2007.04.050

Cited by 71 publications

(45 citation statements)

References 46 publications

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“…There is increasing interest in fire management approaches based on the understanding of historical dynamics of fire events using remote sensing and in how these dynamics may be changing through time [73][74][75]. The present work uses different techniques of remote sensing and GIS to describe the spatial and temporal patterns of fires in savanna regions.…”

Section: Discussionmentioning

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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Section: Discussionmentioning

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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“…It is reported that more human-induced fires in Russian boreal forests have occurred due to the lack of control and ineffectual fire management policies since the creation of the Russian Federation [11]. In Northeast China, extensive logging increases the forest vulnerability to future burning and the half-century fire suppression policy has greatly altered its fire patterns [12]. It is challenging to understand how these factors interact to regulate the fire regime.…”

Section: Introductionmentioning

confidence: 99%

Environmental Influences on Forest Fire Regime in the Greater Hinggan Mountains, Northeast China

Fan

Wang

Dongyou

et al. 2017

Forests

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Fires are the major disturbances in the Greater Hinggan Mountains, the only boreal forest in Northeast China. A comprehensive understanding of the fire regimes and influencing environmental parameters driving them from small to large fires is critical for effective forest fire prevention and management. Assisted with satellite imagery, topographic data, and climatic records in this region, this study examines its fire regimes in terms of ignition causes, frequencies, seasonality, and burned sizes in the period of 1980-2005. We found an upward trend for fire occurrences and burned areas and an elongated fire season over the three decades. The dates of the first fire in a year did not vary largely but those of the last fire were significantly delayed. Topographically, spring fires were prevalent throughout the entire region, while summer fires mainly occurred at higher elevations under severe drought conditions. Fall fires were mostly human-caused in areas at lower elevations with gentle terrains. An ordinal logistic regression revealed temperature and elevation were both significant factors to the fire size severity in spring and summer. Other than that, environmental impacts were different. Precipitation in the preceding year greatly influenced spring fires, while summer fires were significantly affected by wind speed, fuel moisture, and human accessibility. An important message from this study is that distinct seasonal variability and a significantly increasing number of summer and fall fires since the mid-1990s suggest a changing fire regime of the boreal forests in the study area. The observed and modeled results could provide insights on establishing a sustainable, localized forest fire prevention strategy in a seasonal manner.

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“…The timber harvesting modes include clear-cutting, gradual-cutting and selective-cutting. The average fire area was 223 hm 2 between 1980 and 2010 (Chang et al, 2008). The timber harvesting and fire have strongly altered ecosystem structure and succession dynamics in our study area.…”

Section: Study Areamentioning

confidence: 84%

“…In LANDIS modeling, pixels have higher fuel loadings would burn more intensely fires. In this study, we determined the species fire tolerance level and age susceptibility based on the physiological characteristics of species, which were derived from the literatures and expert knowledge (Chang et al, 2008;Wu et al, 2011). The interaction-effects of fire intensity, species fire tolerance and age susceptibility were simulated in the fire module.…”

Section: Landis Modelmentioning

confidence: 99%

“…Only those fires greater than the resolution of the simulation (0.81 hm 2 ) were employed to parameterize the fire regimes ( Table 4). The parameters of ignition coefficient and time since last fire were derived from previous research results in our study area (Chang et al, 2008). Harvest selection criterion of species All forest Over-mature preferential Over-mature preferential 0…”

Section: Fire Modulementioning

confidence: 99%

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Changes of forest fire regime and landscape pattern under different harvesting modes in a boreal forest of Northeast China

Chen

Chang

et al. 2015

J. Arid Land

Self Cite

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Forest management such as timber harvesting shapes fire regimes and landscape patterns, and these patterns often differ significantly from those under natural disturbances. Our objective was to examine the effects of timber harvesting modes on fire regimes and landscape patterns in a boreal forest of Northeast China. We used a spatially explicit landscape model, LANDIS, to simulate the changes of forest landscape in the Huzhong forest region of the Great Khingan Mountains under no-cutting, clear-cutting, gradual-cutting and selective-cutting modes. Results showed that: (1) the fine fuel loadings generally decreased while the coarse fuel loadings increased with the increase of timber harvesting intensity; (2) the potential burn area significantly varied among different cutting modes, but the potential fire frequency had no obvious difference. Moreover, timber harvesting generally increased the potential fire risk; (3) clear-cutting mode significantly decreased the mean patch size and the aggregation of larch forests and increased the mean patch size and the aggregation of white birch forests. Therefore, clear-cutting mode should be abandoned, and selective-cutting mode be recommended for the sustainable forest management in the Great Khingan Mountains.

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Historic and current fire regimes in the Great Xing’an Mountains, northeastern China: Implications for long-term forest management

Cited by 71 publications

References 46 publications

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

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

Environmental Influences on Forest Fire Regime in the Greater Hinggan Mountains, Northeast China

Changes of forest fire regime and landscape pattern under different harvesting modes in a boreal forest of Northeast China

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