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Selection: Melton:JR [3 articles] 

Publications by author Melton:JR.
 

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, ...

 

The global methane budget 2000–2012

  
Earth System Science Data, Vol. 8, No. 2. (12 December 2016), pp. 697-751, https://doi.org/10.5194/essd-8-697-2016

Abstract

The global methane (CH4) budget is becoming an increasingly important component for managing realistic pathways to mitigate climate change. This relevance, due to a shorter atmospheric lifetime and a stronger warming potential than carbon dioxide, is challenged by the still unexplained changes of atmospheric CH4 over the past decade. Emissions and concentrations of CH4 are continuing to increase, making CH4 the second most important human-induced greenhouse gas after carbon dioxide. Two major difficulties in reducing uncertainties come from the large variety ...

 

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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