A spatial model of long-term forest fire dynamics and its applications to forests in western Siberia

Antonovsky, M.Y.; Ter-Mikhaelian, M.T.; Furyaev, V. V.

doi:10.1017/cbo9780511565489.017

Cited by 27 publications

(16 citation statements)

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“…These results are in keeping with those of Krusel et al (1993) and Antonovsky et al (1989). Working on wildfire activity in south-eastern Australia, Krusel et al (1993) identified, in descending order of merit, maximum daily temperature, days since rain and a drought index as the best discriminators between different levels of fire activity.…”

Section: Discussionsupporting

confidence: 77%

“…Working on wildfire activity in south-eastern Australia, Krusel et al (1993) identified, in descending order of merit, maximum daily temperature, days since rain and a drought index as the best discriminators between different levels of fire activity. Antonovsky et al (1989) linked fire probabilities with mean seasonal air temperature, maximum seasonal period between two successive rains and the seasonal sum of precipitation. Unlike these studies, for which coincident and localised meteorological data were available, we used indices derived from a global climatology of temperature and precipitation.…”

Section: Discussionmentioning

confidence: 99%

“…The fire classification itself is quite simple and does not explicitly incorporate the timing of the actual period in which burning occurred. The work of Price and Rind (1994) and Antonovsky et al (1989) indicates that the number of lightning-induced fires, in the southwestern United States and boreal Siberia respectively, is more directly related to moisture conditions during the period of fire occurrence than to any annual average moisture measure. This may not be true, however, of human-induced fires under other climate conditions and in other vegetation types.…”

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confidence: 99%

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Climate and Vegetation as Driving Factors in Global Fire Activity

Dwyer

Grégoire

Pereira³

2000

Advances in Global Change Research

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Abstract:Global active fire distributions have been determined for a 12 month period from daily acquired, low spatial resolution satellite imagery. These distributions have been grouped into a small number of classcs based on thc spatial and temporal characteristics of the data. Agiobai climatology of monthly temperature and precipitation data was used to derive warmth and moisture indices. We show how different patterns of fire activity, as represented by the fire classes, can be related to particular climate conditions. Vegetation type is also shown to be important in determining fire activity, particularly in tropical regions. Our results support the premise that fire regimes will change under changed climate conditions and that the empirical approach to the investigation of the fire-climate relationship could provide a complcmentary tool to thc physically-based dimate change prediction models.

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Section: Discussionsupporting

confidence: 77%

Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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Climate and Vegetation as Driving Factors in Global Fire Activity

Dwyer

Grégoire

Pereira³

2000

Advances in Global Change Research

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“…By resolving the beginning and end of successional processes, wildfire maintains age structure, species composition, and the floristic diversity of boreal forest (Zackrisson, 1977;Van Wagner, 1978;Heinselman, 1981;Antonovski et al, 1992). In a recent paper, Weber and Flannigan (1997) highlighted the significance of fire in boreal regions when they wrote "An altered fire regime may be more important than the direct effects of climate change in forcing or facilitating species distribution changes, migration, substitution, and extinction.…”

Section: Wildfire As a Catalyst For Change In North America And Russiamentioning

confidence: 99%

Climate-induced boreal forest change: Predictions versus current observations

Soja

Tchebakova

French

et al. 2007

Global and Planetary Change

670

545

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“…In boreal forests, in particular, forest fires also have an important effect on forest succession by regularly controlling forest dynamics (Heinselman 1981, Barney and Stocks 1983, Chandler et al 1983, Wein and MacLean 1983, Engelmark 1984, Antonovski et al 1992, Goldammer and Furyaev 1996. Fires affect the species composition and age-class distribution of stands (Zackrisson 1977, Barney and Stocks 1983, Zackrisson and Östlund 1991.…”

Section: Introductionmentioning

confidence: 99%

Factors influencing occurrence and impacts of fires in northern European forests

Päätalo¹

1998

Silva Fenn.

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The return interval and number of fires vary, depending on the geographical location in interaction with climate, topography and amount of fuel. During recent decades, in northern Europe the number and severity of fires have been insignificant compared with Mediterranean region, in which fire return intervals may be 15-35 years, compared to the average of 60-120 years for boreal forests. This is partly due to the efficient system of fire protection in northern Europe, but is mainly due to the less favourable climate for fire and the smaller human impact on ignition of forest fires.The consequences of fire are related to both site and stand characteristics, site being the most important factor controlling the stability of stands. Dry sites being more flammable and likely to ignite are associated with high risk of fire. In northern Europe, due to the interaction between species and site, the role of species difference in risk of fire damage is not clear. In southern Europe, fire risk cannot be explained by differences between tree species. There, other vegetation (shrubs, etc.) is of major importance for the risk of fire.Management of forests can, to some degree, alter the risk and the occurrence of fire. In northern Europe, logging may have compensated for fire occurrence by decreasing the amount of fuel. In addition, forest roads act as fire-breaks and facilitate fire-fighting. On the contrary, in southern Europe the risk of fire has been found to increase because the traditional forest uses and management have decreased, which increases the accumulation of fuel. However, it is not yet possible to quantify and compare the effect of management in absolute terms.Currently, some tools, such as fire-risk indices, remote sensing and GIS-based techniques, are available for prediction of fire risk in some areas. For example, fire-risk indices are most suitable for areas, like northern Europe, which have a low fire risk. In high-risk areas, such as southern Europe, more sophisticated techniques are needed for assessment of the risk. In the future, assuming global warming at northern latitudes (2 × CO 2 climate), the risk of fire damage could also increase in northern Europe. Therefore, to allow the various locational and silvicultural factors to be assessed on the European level, an integrated risk model is needed.

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A spatial model of long-term forest fire dynamics and its applications to forests in western Siberia

Cited by 27 publications

References 0 publications

Climate and Vegetation as Driving Factors in Global Fire Activity

Climate and Vegetation as Driving Factors in Global Fire Activity

Climate-induced boreal forest change: Predictions versus current observations

Factors influencing occurrence and impacts of fires in northern European forests

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