Journal: International Journal of Wildland Fire

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Abbreviation

Publisher

CSIRO Publishing

Journal Volumes

ISSN

1049-8001
1448-5516

Description

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Publications 1 - 4 of 4
  • Reineking, Björn; Weibel, Patrick; Conedera, Marco; et al. (2010)
    International Journal of Wildland Fire
  • Bekar, İsmail; Tavşanoğlu, Çağatay; Pezzatti, G. Boris; et al. (2020)
    International Journal of Wildland Fire
    In recent decades, changes in fire activity have been observed in Europe. Fires can have large consequences for the provisioning of ecosystem services and for human well-being. Therefore, understanding the drivers of fire occurrence and improving the predictive capability of fire occurrence models is of utmost importance. So far, most studies have focused on individual regions with rather low spatial resolution, and have lacked the ability to apply the models in different regions. Here, a species distribution modelling approach (Maxent) was used to model fire occurrence in four regions across the Mediterranean Basin and the Alps using several environmental variables at two spatial resolutions. Additionally, a cross-regional model was developed and spatial transferability tested. Most models showed good performance, with fine resolution models always featuring somewhat higher performance than coarse resolution models. When transferred across regions, the performance of regional models was good only under similar environmental conditions. The cross-regional model showed a higher performance than the regional models in the transfer tests. The results suggest that a cross-regional approach is most robust when aiming to use fire occurrence models at the regional scale but beyond current environmental conditions, for example in scenario analyses of the impacts of climate change. © 2020 IAWF.
  • Bekar, Ismail; Tavsanoglu, Cagatay (2017)
    International Journal of Wildland Fire
    Wildland and cropland fires, which differ considerably in fire regime characteristics, have often been evaluated jointly to estimate regional or global fire regimes using satellite-based fire activity data. We hypothesised that excluding cropland fires will change the output of the models regarding the drivers of natural fire activity. We modelled MODIS fire activity data of western and southern Turkey for the years 2000–2015 using binomial generalised linear models in which many climatic, anthropogenic and geographic factors were included as predictor variables. For modelling, we used different datasets created by the exclusion of various cropland and vegetation land cover classes. More fire activity was observed as the number of cropland-dominated cells increased in a dataset. The explained deviance (%) of the binomial GLM differed substantially in the separate datasets for most of the variables. Moreover, excluding croplands gradually from the overall dataset resulted in a substantial decrease in the explained deviance (%) in the models for all variables. The results suggest that cropland fires have a significant effect on the output of fire regime models. Therefore, a clear distinction should be drawn between wildland and cropland fires in such models for a better understanding of natural fire activity.
  • Stoof, Cathelijne R.; Gevaert, Anouk I.; Baver, Christine E.; et al. (2016)
    International Journal of Wildland Fire
Publications 1 - 4 of 4