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Selection: Hantson:S [6 articles] 

Publications by author Hantson:S.
 

A human-driven decline in global burned area

  
Science, Vol. 356, No. 6345. (30 June 2017), pp. 1356-1362, https://doi.org/10.1126/science.aal4108

Abstract

[Burn less, baby, burn less] Humans have, and always have had, a major impact on wildfire activity, which is expected to increase in our warming world. Andela et al. use satellite data to show that, unexpectedly, global burned area declined by ∼25% over the past 18 years, despite the influence of climate. The decrease has been largest in savannas and grasslands because of agricultural expansion and intensification. The decline of burned area has consequences for predictions of future changes to the atmosphere, ...

 

Integration of ecological and socio-economic factors to assess global vulnerability to wildfire

  
Global Ecology and Biogeography, Vol. 23, No. 2. (2014), pp. 245-258, https://doi.org/10.1111/geb.12095

Abstract

[Aim] This paper presents a map of global fire vulnerability, estimating the potential damage of wildland fires to global ecosystems. [Location] Global scale at 0.5° grid resolution. [Methods] Three vulnerability factors were considered: ecological richness and fragility, provision of ecosystem services and value of houses in the wildland–urban interface. Each of these factors was estimated from existing global databases. Ecological values were estimated from biodiversity relevance, conservation status and fragmentation based on Olson's ecoregions. The ecological regeneration delay was estimated from adaptation to fires and soil ...

 

Anthropogenic effects on global mean fire size

  
International Journal of Wildland Fire, Vol. 24, No. 5. (2015), 589, https://doi.org/10.1071/wf14208

Abstract

Wildland fires are an important agent in the earth’s system. Multiple efforts are currently in progress to better represent wildland fires in earth system models. Although wildland fires are a natural disturbance factor, humans have an important effect on fire occurrence by directly igniting and suppressing fires and indirectly influencing fire behaviour by changing land cover and landscape structure. Although these factors are recognised, their quantitative effect on fire growth and burned area are not well understood and therefore only partly ...

 

Global fire size distribution is driven by human impact and climate

  
Global Ecology and Biogeography, Vol. 24, No. 1. (January 2015), pp. 77-86, https://doi.org/10.1111/geb.12246

Abstract

[Aim] In order to understand fire's impacts on vegetation dynamics, it is crucial that the distribution of fire sizes be known. We approached this distribution using a power-law distribution, which derives from self-organized criticality theory (SOC). We compute the global spatial variation in the power-law exponent and determine the main factors that explain its spatial distribution. [Location] Global, at 2° grid resolution. [Methods] We use satellite-derived MODIS burned-area data (MCD45) to obtain global individual fire size data for 2002–2010, grouped together for each 2° grid. A ...

 

Integrating geospatial information into fire risk assessment

  
International Journal of Wildland Fire, Vol. 23, No. 5. (2014), 606, https://doi.org/10.1071/wf12052

Abstract

Fire risk assessment should take into account the most relevant components associated to fire occurrence. To estimate when and where the fire will produce undesired effects, we need to model both (a) fire ignition and propagation potential and (b) fire vulnerability. Following these ideas, a comprehensive fire risk assessment system is proposed in this paper, which makes extensive use of geographic information technologies to offer a spatially explicit evaluation of fire risk conditions. The paper first describes the conceptual model, then ...

 

The status and challenge of global fire modelling

  
Biogeosciences, Vol. 13, No. 11. (09 June 2016), pp. 3359-3375, https://doi.org/10.5194/bg-13-3359-2016

Abstract

Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and climate, with sometimes deleterious socio-economic impacts. Under future climate projections it is often expected that the risk of wildfires will increase. Our ability to predict the magnitude and geographic pattern of future fire impacts rests on our ability to model fire regimes, using either well-founded empirical relationships or process-based models with good predictive skill. While a large variety of models exist today, it is still unclear which type of model or ...

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